File: blk03529.txt
0d/Foundry USA Pool #dropgold/ FjDOUT:8E9048A2075B09DADB5A6B881D7C667CE59C19426510991DAF4EBCC0BEDA650F text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 A{"p":"brc-20","op":"deploy","tick":"1000","max":"1000","lim":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" text/plain;charset=utf-8 ,{"p":"sns","op":"reg","name":"1000001.sats"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 3{"p":"brc-20","op":"mint","tick":"mfer","amt":"69"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 8{"p":"brc-20","op":"mint","tick":"zook","amt":"1000000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 0d/Foundry USA Pool #dropgold/ text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"karl","amt":"1"}h! Aj?=:ETH.ETH:0x4c5313649463ae029ff4782eaC29dF7482B97cA6:7126131::0 OiCCPPhotoshop ICC profile text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 zTXtRaw profile type exif text/html;charset=utf-8 <meta charset="UTF-8"> <title>My Sketch</title> <script id="snippet-contract-code" type="text/javascript"> const tokenIdRand = (Math.floor(Math.random() * 1000000) + 1) * 1000000 + (Math.floor(Math.random() * 100) + 1); let tokenData = { "tokenId": tokenIdRand, "seed": tokenIdRand.toString(), <script id="snippet-random-code" type="text/javascript"> const urlSeed = new URLSearchParams(window.locationM .search).get('seed'); if (urlSeed && urlSeed.length > 0) { tokenData.seed = urlSeed; const seed = tokenData.seed function cyrb128($) { let _ = 1779033703, u = 3144134277, i = 1013904242, l = 2773480762; for (let n = 0, r; n < $.length; n++) _ = u ^ Math.imul(_ ^ (r = $.charCodeAt(n)), 597399067), u = i ^ Math.imul(u ^ r, 2869860233), i = l ^ Math.imul(i ^ r, 951274213), l = _ ^ Math.imul(l ^ r, 2716044179); return _ = Math.imul(i ^ M _ >>> 18, 597399067), u = Math.imul(l ^ u >>> 22, 2869860233), i = Math.imul(_ ^ i >>> 17, 951274213), l = Math.imul(u ^ l >>> 19, 2716044179), [(_ ^ u ^ i ^ l) >>> 0, (u ^ _) >>> 0, (i ^ _) >>> 0, (l ^ _) >>> 0] function sfc32($, _, u, i) { return function () { u >>>= 0, i >>>= 0; var l = ($ >>>= 0) + (_ >>>= 0) | 0; return $ = _ ^ _ >>> 9, _ = u + (u << 3) | 0, u = (u = u << 21 | u >>> 11) + (l = l + (i = i + 1 | 0) | 0) | 0, (l >>> 0) / 42M let mathRand = sfc32(...cyrb128(seed)); <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.5.0/p5.min.js"></script> <script type="text/javascript" src="https://cdn.generative.xyz/ajax/libs/c2/1.0.0/c2.min.js"></script> <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/chroma-js/2.4.2/chroma.min.js"></script> <script type="text/javascript" src="https://cdn.generative.xyz/ajax/libs/p5.grain/0.6.1/p5M .grain.min.js"></script> <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/three.js/r124/three.min.js"></script> <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/tone/14.8.49/Tone.js"></script> margin: 0px; width: 100% !important; height: 100% !important; object-fit: contain; position: fixed; let _angnoise, _radiusnoise; let _xnoise, _ynoise; let _angle = -Math.PI/2; let _rStrokeCol = Math.floor(mathRand()*254); let _gStrokeCol = Math.floor(mathRand()*254); let _bStrokeCol = Math.floor(mathRand()*254); let _rStrokeChange = -1; let _gStrokeChange = -1; let _bStrokeChange = -1; createCanvas(600, 600); stkw = [10, 20, 30, 40, 50]; stkwArray = Math.floor(mathRand()*4); strokeWeight(stkw[stkwArray]); _angnoise = Math.floor(mathRand()*50); _radiusnoise = Math.floor(mathRand()*50); _xnoise = Math.floor(mathRand()*200); _ynoise = Math.floor(mathRand()*200); _radiusnoise += 0.005; _radius = (noise(_radiusnoise) * 1500) + 1; _angnoise += 0.005; _angle += (noise(_angnoise) * 5) - 3; if (_angle > 360) { //let i = Math.random(255); let centerx = width/2 + (noise(_xnoise) * 200); let centery = height/2 + (noise(_ynoise) * 200); let rad = radians(_angle); let x1 = centerx + (_radius * cos(rad)*10); let y1 = centery + (_radius * sin(rad)*10); let opprad = rad + Math.PI; let x2 = centerx + (_radius * cos(opprad)*10); let y2 = centery + (_radius * sin(opprad)*10); _rStrokeCol += _rStrokeChange; if (_rStrokeCol > 254) { _rStrokeChange = -1; _rStrokeChange = 1; _gStrokeCol += _gStrokeChange; if (_gStrokeCol > 254) { _gStrokeChange = -1; if (_gStrokeCol < 0) { _gStrokeChange = 1; _bStrokeCol += _bStrokeChange; if (_bStrokeCol > 254) { _bStrokeChange = -1; if (_bStrokeCol < 0) { _bStrokeChange = 1; stroke(_rStrokeCol, _gStrokeCol, _bStrokeCol, 60); line(x1, y1, x2, y2); stroke(_rStrokeCol, _gStrokeCol, _bStrokeCol, 90); line(x1, y1, x2+1, y2+1); oke(_rStrokeCol, _gStrokeCol, _bStrokeCol, 120); line(x1, y1, x2+2, y2+2); stroke(_rStrokeCol, _gStrokeCol, _bStrokeCol, 150); line(x1, y1, x2+3, y2+3); stroke(_rStrokeCol, _gStrokeCol, _bStrokeCol, 180); line(x1, y1, x2+4, y2+4); stroke(_rStrokeCol, _gStrokeCol, _bStrokeCol, 210); line(x1, y1, x2+5, y2+5); <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejL KGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b46ccfda9135431","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! 'GIF resized on https://ezgif.com/resize text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 @BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB !22222222222222222222222222222222222222222222222222 %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz &'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz DDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDC 'wwwwwwwwwwwwwwwwwwwwx DDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDD> (((((((((((((((((((((((((((((((((((((((((((((((((( text/plain;charset=utf-8 text/html;charset=utf-8 <meta charset="UTF-8"> <title>Zombie Pixels</title> height: 100%; background: black; display: flex; align-items: center; justify-content: center; border: 4px solid red; margin: 10px; position: relative; right: 10px; width: 300px; padding: 10px; background-color: rgba(0, 0, 0, 0.8); border-radius: 5px; text-align: center; color: white; #pause-button { display: 'block'; visibility: 'visible'; margin: 0px; width: 200px; justify-content: center; #restart-button { display: 'block'; margin: 0px; width: 200px; justify-content: center; <div id="controls"> 1>ZOMBIE PIXELS</h1> <h2>@BTC_RetroArcade</h2> <h3>How To Play:</h3> <p>Use the arrow keys to move the player.<br> Avoid the red zombie pixels!<br> Don't touch the edge! <button id="pause-button">Pause</button> <button id="restart-button">Restart Game</button> <canvas id="game-canvas" width="600" height="600"></canvas> // Created by Shane Masters 2023 for @BTC_RetroArcade the initial number of opposing team members let initialNumOpponents = 4; let maxOpponents = 40; // Create an array to hold the opposing team member objects const opponents = []; // Get the canvas and context const gamecanvas = document.getElementById("game-canvas"); const canvasctx = gamecanvas.getContext("2d"); let playerX = gamecanvas.width / 2; let playerY = gamecanvas.height / 2; // Set the player's radius const playerRadM const playerSize = playerRadius*2; // Set the size of the opposing team squares const opponentSize = 20; const pauseButton = document.getElementById("pause-button"); pauseButton.addEventListener("click", pauseGame); // Get the restart button element and add an event listener to it const restartButton = document.getElementById("restart-button"); restartButton.addEventListener("click", restartGame); let isPaused = false; nction initializePlayers() for (let index = 0; index < initialNumOpponents; index++) { addOpponent(); drawPlayer(playerX, playerY); // Set the player's speed const playerSpeed = 0.5; // Move the player with arrow keys function movePlayer(deltaTime) if(isPaused) return; // Calculate the distance to move based on player speed and deM const distance = playerSpeed * deltaTime; // Check for arrow key presses and move player accordingly if (keys.ArrowUp && playerY > 0) { playerY -= distance; if (keys.ArrowDown && playerY < gamecanvas.height) { playerY += distance; if (keys.ArrowLeft && playerX > 0) { playerX -= distance; if (keys.ArrowRight && playerX < gamecanvas.width) { playerX += distance; // Ensure player stays inside the canvas playerX = Math.max(0, Math.min(playerX, gamecanvas.width)); playerY = Math.max(0, Math.min(playerY, gamecanvas.height)); // Check if player is outside canvas and end game if true if (playerX === 0 || playerX === gamecanvas.width || playerY === 0 || playerY === gamecanvas.height) endGame(); // Set up keyboardM const keys = {}; document.addEventListener("keydown", e => { keys[e.code] = true; document.addEventListener("keyup", e => { keys[e.code] = false; // add an event listener to the game over condition document.addEventListener('gameOver', () => { // change the display property of the restart button to show it again restartButton.style.visibility = 'visible'; pauseButton.style.visibility = 'hidden';M // Define a custom game over event const gameOverEvent = new Event('gameOver'); function drawPlayer(positionX, positionY) // Get the canvas element and its context const canvas = document.getElementById("game-canvas"); const ctx = canvas.getContext("2d"); // Set the player's color to cyan ctx.fillStyle = "cyan"; // Draw the player circle ctx.beginPath(); ctx.arc(positioM nX, positionY, playerRadius, 0, 2 * Math.PI); ctx.fill(); function drawOpponents() const canvas = document.getElementById("game-canvas"); const ctx = canvas.getContext("2d"); // Draw the opposing team members as squares opponents.forEach(opponent => // Set the color of the opposing team members to red ctx.fillStyle = "pink"; ctx.fillRect(opponent.x, opponent.y, oppM onentSize, opponentSize); function addOpponent() // Generate initial positions for the opposing team members const opponentX = Math.floor(Math.random() * (gamecanvas.width - opponentSize)); const opponentY = Math.floor(Math.random() * (gamecanvas.height - opponentSize)); if(opponents.length > maxOpponents) return; if(gameStarted == false) if(gameOver) return; if(isPaused) return; if(checkSpawningCollisions(opponentX, opponentY) == false) return; opponents.push({ x: opponentX, y: opponentY }); let lastUpdateTime = performance.now(); // get the current time in milliseconds let deltaTime = 0; function updateDeltaM const currentTime = performance.now(); // get the current time in milliseconds deltaTime = currentTime - lastUpdateTime; // calculate the time difference lastUpdateTime = currentTime; // update the last update time // Set the time interval to add a new opponent const intervalTime = 5000; // 5 seconds // Start the interval timer to add opponents const opponentInterval = setInterval(addOpponent, intervalTime); unction checkSpawningCollisions(newOpponentX, newOpponentY) const thresholdDistance = 20; // Check if the new opponent is too close to the player const dx = playerX - (newOpponentX + opponentSize / 2); const dy = playerY - (newOpponentY + opponentSize / 2); const distanceFromPlayer = Math.sqrt(dx * dx + dy * dy); if (distanceFromPlayer < playerSize / 2 + opponentSize / 2 + thresholdDistance) return falsM return true; function checkCollisions() // Check if any opponent has collided with the player for (const opponent of opponents) const dx = playerX - (opponent.x + opponentSize / 2); const dy = playerY - (opponent.y + opponentSize / 2); const distance = Math.sqrt(dx * dx + dy * dy); if (distance < playerSize / 2 + opponentSize / 2) // The player has collided with an opponent, end the game endGame(); return; function displayGameOverMessage() // Get the canvas element and its context const canvas = document.getElementById("game-canvas"); const ctx = canvas.getContext("2d"); // Display the "Game Over" message ctx.font = "72px Arial"; ctx.fillStyle = "white"; ctx.textAlign = "center"; ctx.fillText("Game Over", gamecanvas.width / 2, gamecanvas.height / 2); if(gameScore > highScore) localStorage.setItem('zombiePixelsHighScore', gameScore); function endGame() // Set the game over flag to true gameOver = true; document.dispatchEvent(gameOverEvent); // Set the wait time and jitter range for the opposinM const waitTimeMin = 1000; // 1 second const waitTimeMax = 5000; // 3 seconds const jitterRange = 2; // 5 pixels // Set the speed of the opposing team members in pixels per second const opponentSpeed = 200; // Set the countdown time for the start of the game const countdownTime = 3000; // 3 seconds // Set a flag to indicate if the game has started let gameStarted = false; // Create a variable to store the time elapsed M since the start of the game let elapsedTime = 0; let lastplayerTime = 0; gameOver = false; // Create a game loop that updates the positions of the opposing team members function gameLoop() // Get the canvas element and its context const canvas = document.getElementById("game-canvas"); const ctx = canvas.getContext("2d"); // Clear the canvas ctx.clearRect(0, 0, canvas.width, canvas.height); // Check if the game has started if (!gameStarted) updateDeltaTime(); // If not, update the elapsed time elapsedTime += deltaTime; //Added here instead of below to remove the timer gameStarted = true; restartButton.style.visibility = 'hidden'; initializePlayers(); // Check if the countdown has finished if (elapsedTime >= countM // If so, set the flag to indicate that the game has started gameStarted = true; initializePlayers(); else // If not, draw the countdown on the canvas const countdown = Math.ceil((countdownTime - elapsedTime) / 1000); ctx.font = "72px Arial"; ctx.fillStyle = "white"; ctx.textAM ctx.fillText(countdown, canvas.width / 2, canvas.height / 2); // Request the next frame of the game loop requestAnimationFrame(gameLoop); return; if(gameStarted) updateDeltaTime(); drawOpponents(); checkCollisions(); if(gameOver == false) if(!isPaM moveOpponents(); movePlayer(deltaTime); // Update the game score and draw it in the top left of the canvas gameScore += deltaTime / 1000; displayGameOverMessage(); drawPlayer(playerX, playerY); ctx.font = "24px Arial"; ctx.fillStyle = "white"; ctx.baseline = 'top'; ctx.textAlign = 'left'; ctx.fillText(`Score: ${Math.floor(gameScore)}`, 10, 40); displayHighScore(); // Request the next frame of the game loop requestAnimationFrame(gameLoop); function moveOpponents() // Update the positions of the opposing team members opponents.forEach(opponent => // Check if the opponent is waiting if (!opponent.waitTime) // If not, set a new wait time and jitter value opponent.waitTime = Math.floor(Math.random() * (waitTimeMax - waitTimeMin)) + waitTimeMin; opponent.jitter = { x: Math.floor(Math.random() * (jitterRange * 2)) - jitterRange, y: Math.floor(Math.random() * (jitterRange * 2)) - jitterRange }; opponent.jitterTime = 0; else // If so, update the jitter valueM opponent.jitterTime += deltaTime; if (opponent.jitterTime >= 1000 / 60) { opponent.jitter.x = Math.floor(Math.random() * (jitterRange * 2)) - jitterRange; opponent.jitter.y = Math.floor(Math.random() * (jitterRange * 2)) - jitterRange; opponent.jitterTime = 0; } // Subtract the time elapsed since the last frame from the wait time opponent.waitTime -= deltaTime; if (opponent.waitTime <= 0) { // If the wait time has elapsed, reset it and calculate a new direction towards the player opponent.waitTime = 0; const dx = playerX - (opponent.x + opponentSize / 2); const dy = playerY - (opponent.y + opponentSize / 2); const distance = Math.sqrt(dx * dx + dy * dy); M opponent.dx = dx / distance * opponentSpeed; opponent.dy = dy / distance * opponentSpeed; } // Update the position of the opponent based on its direction and jitter value opponent.x += (opponent.dx || 0) * deltaTime / 1000 + opponent.jitter.x; opponent.y += (opponent.dy || 0) * deltaTime / 1000 + opponent.jitter.y; // Draw the opponent at its updated position //ctx.fillRM ect(opponent.x, opponent.y, opponentSize, opponentSize); function pauseGame() isPaused = !isPaused; const pauseButtonText = isPaused ? "Resume" : "Pause"; pauseButton.innerText = pauseButtonText; // Function to restart the game function restartGame() //Redisplay highscore highScore = localStorage.getItem('zombiePixelsHighScore') || 0; // Reset any necessary gamM pauseButton.style.visibility = 'visible'; restartButton.style.visibility = 'hidden'; playerX = gamecanvas.width / 2; playerY = gamecanvas.height / 2; gameScore = 0; opponents.length = 0; gameOver = false; initializePlayers(); function displayHighScore() // Get the canvas element and its context const canvas = document.getElementById("game-canvas"); const ctx = canvas.getContext("2d"); ctx.font = "24px Arial"; ctx.fillStyle = "cyan"; ctx.baseline = 'bottom'; ctx.textAlign = 'left'; ctx.fillText(`High Score: ${Math.floor(highScore)}`, 10, 20); // Start the game loop let lastFrameTime = Date.now(); let gameScore = 0; let highScore = localStorage.getItem('zombiePixelsHighScore') || 0; text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/html;charset=utf-8 <meta charset="UTF-8"> <title>My Sketch</title> <script id="snippet-contract-code" type="text/javascript"> const tokenIdRand = (Math.floor(Math.random() * 1000000) + 1) * 1000000 + (Math.floor(Math.random() * 100) + 1); let tokenData = { "tokenId": tokenIdRand, "seed": tokenIdRand.toString(), <script id="snippet-random-code" type="text/javascript"> const urlSeed = new URLSearchParams(window.locationM .search).get('seed'); if (urlSeed && urlSeed.length > 0) { tokenData.seed = urlSeed; const seed = tokenData.seed function cyrb128($) { let _ = 1779033703, u = 3144134277, i = 1013904242, l = 2773480762; for (let n = 0, r; n < $.length; n++) _ = u ^ Math.imul(_ ^ (r = $.charCodeAt(n)), 597399067), u = i ^ Math.imul(u ^ r, 2869860233), i = l ^ Math.imul(i ^ r, 951274213), l = _ ^ Math.imul(l ^ r, 2716044179); return _ = Math.imul(i ^ M _ >>> 18, 597399067), u = Math.imul(l ^ u >>> 22, 2869860233), i = Math.imul(_ ^ i >>> 17, 951274213), l = Math.imul(u ^ l >>> 19, 2716044179), [(_ ^ u ^ i ^ l) >>> 0, (u ^ _) >>> 0, (i ^ _) >>> 0, (l ^ _) >>> 0] function sfc32($, _, u, i) { return function () { u >>>= 0, i >>>= 0; var l = ($ >>>= 0) + (_ >>>= 0) | 0; return $ = _ ^ _ >>> 9, _ = u + (u << 3) | 0, u = (u = u << 21 | u >>> 11) + (l = l + (i = i + 1 | 0) | 0) | 0, (l >>> 0) / 42M let mathRand = sfc32(...cyrb128(seed)); <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.4.0/p5.min.js"></script> let spacing = 10; function setup() { createCanvas(400, 400); background(0); function draw() { let r = random(255); let g = random(255); let b = random(255); let plus = random(10); if (random(1) < 0.5) { rect(x + plus, y + plus, x + spacing + plus, y + spacing + plus); rect(x + plus + 10, y + spacing + plus + 10, x + spacing + plus + 10, y + plus + 10); x = x + spacing; if (x > width) { y = y + spacing; <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaL JwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b46d359afee54d9","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 ()*89:HIJWXYZghijwxyz ()*789:FGHIJUVWXYZdefghijstuvwxyz m[m[m[m[m[m[m[m[m[m[m[m[m[m[m[m[m[m[m[m[m[m[m[m[m^ m[m[m[m[m[m[m[m[m[m[m[m[m[m[m[m[m[m[m[m[m[m[m[m[m^ O6O6O6O6O6O6O6O6O6O6O6O6O6O6O6O6O6O6O6O6O6O? mmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmM r5~DDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDC text/plain;charset=utf-8 .,,1,,,+++***)(6)))((('''&&&%%%, text/plain;charset=utf-8 8{"p":"brc-20","op":"transfer","tick":"<10K","amt":"NaN"}h! text/plain;charset=utf-8 "name": "ltr.sats", (((((((((((((((((((((((((((((((((((((((((((((((((( text/plain;charset=utf-8 text/plain;charset=utf-8 (((((((((((((((((((((((((((((((((((((((((((((((((( "UUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUGt text/plain;charset=utf-8 {"p":"brc-20","op":"transfer","tick":"ordi","amt":"1000","to":"bc1ppyy9a6lagx56kuwk6me5wcjrdz3r972et6qy243q2zg2uauzsx2scf83qx"}h! text/plain;charset=utf-8 text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_385", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 8, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 14, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 8, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 14, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "yMR5vA98Cb6TBnG9AdV3PAbEYT1vwtQ8M1scvTRsNz0ZJ9C8qu2evX/3K72MKjS9jzEmPfQCM 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 cmBGPYXBBj0cDvw9rbirva8DTr3YWBq91yEdvZCEnT0JnTm84dWXvALvUj1MuqO92b+wvcLmNb5M5jO9jkkTPkk8bTxa52e9j7K+PWBBRL39NEy9FSspvl5u6b0MMlw9BhWDPGPyKD0Af+M9kkhvu1FM6bywlnW9atubvLE7gT28+5o8H/FNvKfarry0HNS9LHtTvUkpCr62L2W9atw/PZWSEjs6+SY9x7GPPSt/TL3Klcm9RkB2vfhonrwGshI92BsaPYmd5ruwq2A9k20rvZ6ZLr1PJ0k9PZsUvL1K/7x7g5S9imoPPeenNj1dOPa94IOxO/8dg71ywBy9v115PKuM87xyGDO8nfAKPqWBTb1aSe47my+NvZ3z2TvmQrK6+YSMvU+dAz1Y9ac9cs51vGh4JLxgPe88tYzUPObCCTzhwiq9Sb8bPf4tgL1W1GO9G/X5u2hajb3ucbS8IZ3MPEzgsrx3nmM9bHsVPT5wIT2VFTO9dgDJvKZvojzlYeC8g3UTveUNM 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 V7uowOc8i1z2O6iU6Ldz0II9GibSPM0toD3wPre8tL7/vDToC73c/eM8W4G9vGjJ1bxjo049ocUzvTimE711Ku68YFWVPWosUrxKwR28S22lPSB2Hj3GZzo9+AATvVFkub1SavQ8F8QUvcrwEz1ZAjE94qj4vIn/Xjw60oK7y3WPvPYFQr2PtOK8jS0BvSB1cj22kuy88WhZPCjTezvxJLG93XJJPasl6jzm/W492p7IPcSnnDxNHa09Kx4dvBb7Rb3GDEc92jY3vd0zCj4eSBE9y0qDvSxUAD2OLYa8CHkOO66liTxYwym98iypvAXHGT2cwHu9ofDMO3B68jyn/9e9xu0DPSVapjzfR/k8ue9SPesanTvfCxM9zpwdPYG74rxVmKM9GrpaPe6ETT37QZM9YMiKvevkTT22u5k8bcuKvYwpGT0HcBi8SlGZvDRWR70S/z29RghGPVpgzLwBHXu9YZfiPKZ9yzwPA+48tsXJPb1KX73yK6c9upkavKCQEDtb8Sg9M 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 Rb3cI9s8Tb5zvYtXHD3qML69e4rzPRTnmT2JB347Y5H/PMLMAL3Nlpy8Vl0UvGM0rL1YfeE8Fg05vOydFbt+9Vy9kvIyvSHxl70QXNa8J8nHvMBFkrxl3aU8g10tPeUXuLwm2qC9RFI0vc02xj3WOYa9aU3WPaRf3TyXisC8yjx8PCxFr737oOS8DPNHPfXUFj0OF8A9HvLFPE/okDxwaTG9T7nTvQBAxb0y3e28p3VoveP7DDy8kY69MYrmu02lbz3n7JO9I/kXvSlqfbs0rdu8+zK3PcJPDTxFprU8wOpKvFr80b0alai717wcPQhrJb2bYwQ9w3G8PKAgJz12r788SStjvRPfsb1PqnO9v0+MvdBESb3cdxe9ufsCvPjBgj1QCbq9wg2HPMdlZz2qMqW8/peHPQQz4jzq3wg9ziXwvCNBmb22XRO8buzAPAV/jTyUKHE9RzruPHHjnT1+gow9QpVOPfh4nL01Grc8ImOnvZL6Cr6Cw2s8qzw6PTOjdz1gTp86M 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 KbSjvI3nALyRR/W9HLmRvaDl3b0FGAW+sO0FPCl07j0HCTW9koLVPU35Ir1odKm8eIorvXQg+by1iT+9uqiVPdW3Qbxo/8Q7QpasO0w4nDwdS0U9hdK6vBIyBL2VhEe8gSSQvd21tb2Smce8ZUsVvOUFPT3/dxS+I9+fvTabyLyiL8k7psDpO0XgAbxC7A89MRPJPagFe71mWBa+N0BaPavkgzvRmbO9/1envXPBcTwMux8+yxXKvex3UTxSPni91UifPCSNKD1hH1O9twVEvdtNOT4VrxO+EU3uvJvmOL0Bcg683oHlu4wQ6TxA/GK8QAmBPT81s705UPK9UV0Dvd0Hib0nEF69azbXvdbB5byTdhA+JIsDvkS3fzx1EdG9ZPUNPeE9AD5LPry9P5yXvRIGAj6IfLa97PrBPHqSQL30BeQ8rgx8PTexT72Dsbg6aP10PQ+ggL2fJxM8rxUFvUnCFj1Ocxk+KkSGvVSuX721ENs80I1YvWqXKj1VPLo8onNvvEh6M 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 D/mDPZQGXr13t1E9oJ1xPeEtjT2IfNU8piIRvgGbB7wCq5u7gbI3vQTqUbwH1qi8HBGIPOfYTz3UACe+9fx9Paw31rwqJAY7U1dFvdtv1D3WQro9vPgKPpT0670HMhW8YuPvPBaVlr2vAMi4wcygvBkeXr3HcEg701wxvWayOD2S0V88NjTuvaoGij3PLBe99dPNvUhmmjrEIvm90PW0PQpW3j2q1O68v4UUPoNlb7wMRXw8kuqoPW3R4Ly026a8Az8mPVTTk72q7M88FmxjvWmRBr6UTbG98ziTPZScgz1xK/k9gCTRvadlfD14YF+93tCovTDvGL42zYm8GM6ZPciKCD6ZTyW9p+kmPhXKorzDe4i9JkEzvdMCeT2TY3M92unQPXA1t71YjzU9oPi4OuohV7qRNE48GbJhPct7rDyBwkK9QCVKvSTljD2+SSe9Yk/+vP1A+7ss0jO96iUBO20XAz1rlgo7Jie/PfhNojzKniS9MBNbvAZrLTtzcCG9aqByPC/5M 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 AL7I5jw8IHXVPWr9hb2g3QU+iYVoPeQl7b35apS7RLefvr8FDb50Ink+83vGvocLiT5xLrS+8IuePpujcD3pA4y+ETIAvip4oz6Mupe+dIsAPqzbrb6irI4+KvwSvvmp373GO9A94CaTPpidF77DIhC9CCqXvpmPZT42+qa9bvfGvaD4+bzuC+q8SturvRm78zsxs1i9en0yPqs+3j3bqoC861aFPBrxED4TYZO9zLuyvSj1pb0JCbU9pwKlvTvrT72uDHg9BYnlPPToVzyPDZu9xIKvvOc3hjviMcm9QMsvPcJdJb1ruVy+EPExPT3ISb2calY+gkWwvVhzDz5ihPM9BVfXPKb5Yb7T3NA9doypvd3xQD7/yne9H7H1PdSG9j1iXzy7j3NIvn4wpT09XBM9k06xPWU2CL0DzE09IfJxPfT14rzeIMc7vPBDPG+Ll718wR09ohphvUBlBj2zDP89XP8+PY5FMzw6tQ+9NyrzvPhyCL7OMUE9plDyPX4GrD1MRgi8M 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 4r/ivV4awT2npOA9EsgVvtn4qr0C1z08rnDUPaVPKT5xg1G9rBkBvdohWz4+33e+pfkyvsmWHj0uc+k9fcTlPegtPjxl2L693pBePhUrfL7tHBa+LRmGvu1FNr4xjIk+pfy5vv69Sz6U6K2+4+izPhJSUT3vNIi+NTC2vZ2dnT7+yIW+SJ26PaDZqb7y35U+I5gFvtg5LL7k0sc94Cp8Pi88Bb62AHI93u2Bvt1jMz5Xon+9PmDVvETPfz0YQxg98hFUvQu7zDzBQOC9Wj9lPmOOrT3H+IW9mYdlPaBDrT18vC29d4VbO8IKyzpdptU91diAPZzFfb0qv0s9MbqNPPePRjt49Tc8PNcDPFGGOLxEy2u8kwKUPYn6DLyax4Y9YvsMvYA/R7wp0B89vCObPfZ08zwTC8A9H3s0PFFQqDxHsig8JiN/O29aZ71WKvw9bAnbPVh7lDwJtLA80bv4vED2hz00ZKa8+l6oug8ywj0Ikl68oSwFvXUrjTwaI5o9c14Dvt7YM 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 I5GHPR5iHj3ZfXA8nBLdPSwevrkPBdK7oRHdvbAOrLxQ8n68+S6UPc0C4b041Gu83nhuPbf4pD2nAg8+wQTRPfCMkL0xZGq+aC67PS6o6L18PwA9vKiuPbwYp7xNhMI9y+LMvUTUN74o89c9M/aBvUDgJrxUUgw+dGaZvQSnRz1iQdC9kfXZvYT68D0yrSe+xuc5PadnxrvJToa9mcLSPJPNvztV5Ym9uN3jvDMsZzvt94S9lhHevHl+Ab5bUQc94DCLPDBf5bwMOz89k8g6PdvAPL69aYy9cdwtvuJI+73wYwM+7JpHPR7ZfDoxI+o9MMqKPX7ky73gyGO+Ybe9vCM9oT1pX1c+yXcRvv4tLj57dY29NwosvpAFO75ZOAi+LSA4Pk5liT4Hq7q9Fj2LPm1mAb6LMxO8FA4cvin5XL3osjs96qo9PgUUz72Vht89svqJPcxYsjxI/bA+UmD4vCYlUzvIP6S+0/mBPggJvjvc+YA9xn6OPJqFvj6o7Gs8MFA6vStFM 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 z73XK3W77ag1vpwETT5TQB49mnYiPhIXD7sf9Eu+sqqDvj+rX76V3Ey+UlSbPkpX0D3kpQo9eKpYPqEdh75Ev5y+mbO2vlrOBr7/P54+gBtUPjd2t733R48+DE88viBwDr43nQ68s7KJvuRzrD5mI+S8FtdWPsFdsD0eUHq+hWk4vk0hhr7mc2C+Ia+/PkfrJz4IfWS8L4BJPnlOg75fL3G+BgiFvv60/7wJbI0+wVGiPrCHB74Zj00+s9hRvu+pKb5lEZW9D2pGvujPsj5Mnj49K9YlPpwFaLvKZnS+9q9EvmSaXb59PB++QNWvPrrcHD450wY9eVDaPTxEoL47KVi+GZWOvs/qAL5A67Q+4dJfPuMj9L21YH8+obeMvV5SAr3Cxq67rxgcvsFISj47FAM+erGjvG0TBb7j+C++DTWJvd5W3r2+OmK9YYJ/PmkdJj5c7zS+mgekvVUShL4aviS+SaImvnq7JLzmVYY+gH9/PlfrRr49ppo9prAGPqNWEz6bWRI+M 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 gR/tPNbNcb0YqR89k09bPcG/TTw+K3m9Un4qPcOBET2dXZK9qFrPPY2zHjyAEFq+pcvMPfYgg7yMbFo+krdZvm7vXj3WioO9qjHZvBSQg77QIdA8ow7zPSqSVD7zLaK9e1pBPQmd+73Tnl+9TF2Fvm2qOT17r0U9rKQwPtv6Z72acaQ9Ucg1Ppp26D1ehEg9GujPPQYlWb0a3Vw9vgfHvLJlyb1aaT09Pb+vPTJNcL2v7589sVytvf3ukDwhZZ+8MFajvTots73AHCM+uMYNPaE3wz17PAq+xVijvdqjaz221sC9aZ7wvU8UMb01nV0+WUCBvZMC3j13hlW+URQIPmPzXT2D+uK8dw+svFr4gTxflAC9jwCHPfstrL15IQg+g6eYPdVve7xC8289exsAPXS4/Dwm4n69mHyuvFspST3U65k90ShYvtVOEr6KOSk+dURLvkpeHj5bMQO+drZUPtuTBj6Ckr69oN4nvu4dxj2D3ea96NzQPRXmubw8kFg8CHgFPm6jM 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 0bc/PuY0i70C3i2+ThD0PWe4iL3ABuE9+xalvVHYyjz+Xl0+vDG0PKMAtL2r1ls+GxrvvcAadj5A1hG+MTmUPQ2v7L26oZ69WD4dvkarFD27fgG8782LPf/xHT12SMs9ynFDPRefLb4Dp0i+SQOxPSM7hbxv1/I8AFu2Pcbfmj3Ku2G9j0OsvUl6ab6yrWk9bU2IO4Du+D1z/t09rtxGPmMTTbzU3X69FDkHvmV2ID70ugG+0d4UPiXTxT3wbOw9uoC9vESfKr4hf/M9VLUSvanRajzTig6+LlcTvBFRrjzRQjy+N87PvQO3uT3qP4a9LtFPPv0jW77xIEo+XEccPjxcab0ULGE9T8tKPED4sj2oxZm9h00zO5nCuzw+C9k72U6XPUi/9bwiohe+yJMGPsUhNL1+KFs+s0ZxvnLpbj01HS+8ASvFvGgdPL412849jITDPc0SJD6q1Su+AiNBPh9YJ74u6Jy9+31vvluCxT0u7Ss9MFpJPgjWBL6lbuQ9DAY8PtrGM 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 dnuFvQeutr3YWfI9wXW8vVnNzb182Y09Q8abPWNHTrzqSYW9TbQbvi564z3Vypi8n5nHvUUgpb1icYo94VIEvvMU6D3b8EK9oONAPY3O7jzmaoO9idqovWCjerxYs+u95JzaPVRkZDy5vnS8u4R/PbVlx730QfK7VY4dPTKkiL3s/U+80dc0PecB6bxebCg9RTfsvWHZAb6e/ss9WDxcvl7TmT2XyFA95QuvvGL8yT3tX/29SDwxvqZE0T3xuUm+ursHPiQXQT3PcuA6Y2EFPjtu6L2iEkO929sgPvsxEr57qS+7AtKlPZPg5bzZfdg9HogjPXdxuj17QqU9YsK1vHchPb22pz4+gxAAvnWtBj2/gpY9/AnnPZfVJT6t7pa8f2L3vcznCj5bDcG9mLIrvJHZOT3wRyq5HjBGPjM3Tb35e+e8ImxRPat+ob3d76G9lLuuPfNsMTyKcbe8XW8Uva2ii728s+w9WddEvIKtyryyC/U9qZz7PYKdbj1q53E9ibzTvT7bM 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 C52TvjLdMT5ZOVc9pLb1vGXSuj2/KSq+aYmPvYDnTTpI9xO+qae5PQd74D2YEMW943nGPfZBlL0XPdm7p/oVPiiuyL32DLk8PcgwPiBt+70RkOu8pMQOvmXRzr1azCs9L9k3vqE23D1BZwi+gekJPvnvNr06Teq93Ct8vRe0dDw+sAW+cVbjPbQxPzxGWxe8lJ2EPYEmKr1aE0q9bRTVPRg5ab0eBU07ZWciPYlRo724Zp+9mStDvcXnsrztewY9K5SUvGTbvLzrFjK+3iU4Pp1b+zt7pBw9hFDlvI4zo72SfgY9rikePTD6Fb5PIDQ+DVijPQhlbr2+5qE6SqQjPSmyhj1qrLe8Wyu3vWnu3D0z7Me86e7JPTScozxxsDG9E8UgPdZj9L1h8Q2+1v+xPZqUSTx4R4g9a7FPPe25Dr6bVKE9MMKJvbqPNr6M6VE+kdGHPVxeTL2u2dO8S5CHvQfcvbzqSpU66vgHvvM07z2xgh09kVCyPWkG5r3rfIy+tGJ/PXQ9M 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 nLzG+PU8bHUTvID+gDwJebu8A518PTsv2DwOYXi9BtssOh2myLzo4jU9vcAQPbNVOLw6pwa8OLq0vbc6E70Rw5m9pzvGvJXvvzwKjJK8C2XTPYddpzyxqKe9C0WVvFX6Iz0Dle29Fs6GPf9IAb4sFDA+k+hPPXavv72O7nS9Xe8aPjL5Kb6Dcjs8GT5Hvt0BYj7u/nw9Umn1vc6yWb0Yj4M8VrQLvivzOT0VuzU8MKylPb9/3LzZtmC9JYClOxKn7z0D63e987UkPaF3Ub1MHUE90mwtvCVjSLxRs8M8WLKjPcqpu70LVJk9wcQ1vTPw1LueVDe8RvPgPYDIJz3N2SS8Oa1yPXWWuL0JWh8+chbRvcTjBD0c9rk9bYwLPY2uBLveUNg99ujmvMrLFj18Qaq83rjRO/mZYz3q2aY9k6yFvMD2Oj2sLRm9YGDNPULmAr14nBe9U7RxPZhGaj0RnRe9TMT4PLrRtr3mvR8+N7dGvYqzJ7ze9dQ9TBybPfS9YLzP9pU9M 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 J72gpJ29tOcCPlsiD764vFy9MDp3PZ9MJbxMRR6+CDEVu2o0fb3zDAM+eI2gvTpykr1OlPA91RrvPGzdjjqusha8DfAEvqLaoz04kDq9ZEkTvUyt6Dy7opo8DFqFPb7VYL1hP1K9WDwMPpOAEL205W69oJ7wPG0Yi71awQK+li59PZ8YoLzMa+w9/ByAPD2iI71rzy8+6CBJPex+lL0epY09XK8JvrZG8T3hdaG9Baa0vYUpgT3yO724OL+CvRTsorwBwvK9wEoDPspV2b1EhIK9IY4+vTjd3Lz/cAi+LSI/PILNvLyZvs09/eQtPZiEuDzjU7Q9JJgvPM9Tt70t7WU8rRxMvVNpNz3xj0C8226kPXG/Iz2ZhFY87FcovHkx4DyyA4u95CsjPeRyAL3oVOQ8FVGevItyPDuhSB2+ZosOPJcW6LwogLg9ssmVPLbaXby/tyc9QdAUvAoHKj27sim9juR5vCEhg7w7mns9CTi0PPRoDb1IKDC949wuPVsibL3DlDw9M 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 iVEEPQjwjzt0SKG8IHFKOWvGj7yq5uU8JDkevRO1cb2hzh09CH7XPR65Cz6aCcW8bEQPvLzY7Dx0W8e7uPOSPCw3JbsDNcK8eGT3PXpIUbzuP3S9W59pvQ/iQb2LlPq9zcqqvd9cGL6eKKc9ArtCvtgRMj5oKgG9qToKPde6wz0HEpm9zQGbPKqh4D3BV5e9MUxUPQuqK70JUY27r/yqPX8K873MmrG9f3Y7PpbM272XuAg9eq2qvGNBD7z0gLu9567Bvcte970oDHg9kCAhvstJOz5wpfc7gvmCPdgcoj2xtlK9jHzLveulpz0MPva9i1uJPbGM8rv41o48xFA6Pn/ntr1qhPm9jpLfPLqFDr1zxQ0943abPJkTvzstxkS988HqvetIEr7i5lS8YM3vvQEolz3jfYu8FIejPBZYOz3CntW9dZXVvOfEHLxptK+9MPHgPRL3L72pWJQ9+vcsPj/l5L3r1sm99tZyvXhjRr061wO8QAOYPWWFIzz5VgK8TxCwvXvUM 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 D5RTO64JW71gwCm+M1iwPaIPiD2bNtI87QGdvNWZCb19+mO9rlwTPYvY272E3uI9vnZoPlCcEz75X+g9S+3Yva3MD776Prg8g9VQvSDp3z2grAA94ja6Pf94WjxtRPq9thOOvdm9LT33ph2+PT8aPorhbj2Km9Q91UTKPGORDL6NQlK9lwvmO4keJ77upys+s9YVPlokFT55S5A9sdoivpAti70ag/Q73ig1vfEprDxFm489Y67lPTOmr7wfrYC9bQiEvRl7lL0bKxm+ncn5PQvzQjx0KFE9y+bzvGXA1L0d/YU9VOVkvb/mBL75nQs+s4ZWPpiRSz6ch8I9n9g+vtTeCb0DmpO9iSLUvS79ij019Q88oRStPX3wl71QWpK9gDeavdvKlL0jDwm+0CJ8PVJ3kD1ZBpI8bicxvX+3xL1hNjM9jjVNvSELHb3yyNs9PrkKPiwtbT4p21o91Cu/vQUgOjz6uP29qv0+vX39CD3SnJy8wK5UPtwZxr0mrwO979yVvEXiM 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 v721ZQI+iD5QPiJ7Aj4PT989M33Evf7yqL3HztC89D0BvV/Wlz2OPmo91h6HPbIJnD0MTfK9mVurvHVwVr0sgwO+zbQCPv46yT1FOJA9x5mOO44N870Qj3G8gDoTPZfGQ77DCe09kk5aPrxoFj4S7CI+XjAVvmw5ab3a65S81TgJvm7DxD3RKOk93x7QPW1NUT1ty/u9tv+xOs0quL2h3i6+GfI+PqNEHz5OK9K6T7ksPCTLE75tog+9HSydPaYrDr4TIWg+bQh+PhpNKT4uUhc+Qo01vmITTL1X5D69UmIKvr4BOD7/x6g9+j+GPY8Yqj30IkC+8cXIvJueZb2kPh++Xwf3PfnrrT2OdQU9L+M4Pdb/RL7h6K+9z8K5PK2f8r2ThVc+rgKlPjsTgj4kU1w91RxNvtMOk70NzQs9tasbvpIVYz6Fnu49txrHPSuKrj03GiO+t45tvfeXTb12YVS+iDbRPZgQiT11CMY94G0gvZ6y+b1Awde7noHHPbZXR74HSTE+M 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 lr/A7Ba/7INQv6ePLT8W5E6/lK/FPYt1f7/CaUw+Qd8Gv8kygL4PZJy+RxeNPigDTL5rRzG8YfrLPPeEc77YsCQ/qOrEvjV2dz4ltFg+7d9HPnU88L270Cu/rAYmv1KTZz97tZM/hEGEv5Jd4L64x4S+j4ujvj058r2I+Z2/DpmdPy7zqD58LFm/QdQdP1yZjT/LY1s/QZP1Ps36vb+UFXw/F2aSP/+WcL+ohSc+bHScPyUS7T66gJK/lkx1PouoIj0OoJ09avhZv4XB579iRaG/yHnAvwSFR78pVFG/Sy2pP5lHSD+j7Gm/kYgIPjA0GD5kWze+zM2ZP90DD78B2Ak9VF49P6j6+DxASMk/UBivP8c72T/VNCs/2LCFP74ylr/eomC/6pl6P1qrm75XXOe+UL/QvQEV8D5IwmY/YBuXv26BjL+/Rko/630+PwieHT6+RrE+W0KNP+E+mD+i55S//mtpv7Cnmj+Z0lE/TItJP21zBT/pkEi/x9+HvzMurj9SNrA/M 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 kKF8v5MCe79ggu0/wRzvPfGH479PSEA+s0OaP8rBTL6Wy6M+7TiTvSJt2r98VKk/WBXCvr5xuL+VUfK96qxlvwFz0L/qNnY/JY17Py6mLb8/oqc/C59hP3tTSb9PvSw/d2Mtvg22lb+QYsG+CnMKvmg0Y79ftJo/X3AUP8qZhb3r+p8+XaTEvc07W74=", "training_traits": {"structure_gen": "Zigzag", "n_layers": 4, "max_nodes": 14, "activation_func": "Sigmoid", "epoch_num": 8}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{construcM tor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteratiM on;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)M ),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestM amp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=M dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(tM his.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.M length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=raM ndom(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of M e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVM ertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472M .5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.M 4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,M 459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(M 46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVM ertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,M 373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,41M 2.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(12M 9.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVerM tex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertM ex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,2M 96.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.veM rtex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.M 7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204M .4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223M .8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.M 799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezM ierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3)M ,e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,M 34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,11M 1.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),eM .bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,M 294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,M 315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.beM zierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVerM tex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415M .8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),eM .bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,M 159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bM ezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,M 215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299M ,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(3M 08.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),eM .bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}funcM tion D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()M *1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return M this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.M __apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0M ;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,thisM .w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=M A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocM essLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;M else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(neM w ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initM ial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.eltM instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.heiM ght=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(thM is.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,M t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,aM =t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=argumeM nts;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAtM tribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);iM f("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(eM )this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="386";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,CM t,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,tM ),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}M function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cM c","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000M 000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"}M )),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T(M [a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultBuM tton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==PM t||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closM eSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hiM de(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),windoM w.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=M Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.lengM th;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];foM r(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/M 8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.lM ength);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron M #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...SeM ),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(heighM t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,M le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255)M ,qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st)M ,Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.imagM e(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,1M 0),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else ifM (2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.imaM ge(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positiM ve this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-M 100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${M Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.cirM cle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"M '),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... M "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,lM ]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.tM ext("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`]M ,["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"M UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(5M 0*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r)M {let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,tM ,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.M fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(M e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+M =n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally M reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(eM ){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks"M ,37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14]M ,["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},traM ining:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visualM <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b44c2bf1d72546d","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> (((((((((((((((((((((((((((((((((((((((((((((((((( text/plain;charset=utf-8 {"p":"brc-20","op":"transfer","tick":"ordi","amt":"1000","to":"bc1ppyy9a6lagx56kuwk6me5wcjrdz3r972et6qy243q2zg2uauzsx2scf83qx"}h! text/html;charset=utf-8 <title>Bitcoin Sky</title> <script id="snippet-random-code" type="text/javascript"> let seed=window.location.href.split("/").find(a=>a.includes("i0"));if(null==seed){const a="0123456789abcdefghijklmnopqrstuvwsyz";seed=new URLSearchParams(window.location.search).get("seed")||Array(64).fill(0).map(()=>a[0|Math.random()*a.length]).join("")+"i0"}else{let a="seed=";for(let b=0;b<seed.length-a.length;++b)if(seed.substring(b,b+a.length)==a){seed=seed.substring(b+a.lengtM h);break}}function cyrb128(a){let b=1779033703,c=3144134277,d=1013904242,e=2773480762;for(let f,g=0;g<a.length;g++)b=c^Math.imul(b^(f=a.charCodeAt(g)),597399067),c=d^Math.imul(c^f,2869860233),d=e^Math.imul(d^f,951274213),e=b^Math.imul(e^f,2716044179);return b=Math.imul(d^b>>>18,597399067),c=Math.imul(e^c>>>22,2869860233),d=Math.imul(b^d>>>17,951274213),e=Math.imul(c^e>>>19,2716044179),[(b^c^d^e)>>>0,(c^b)>>>0,(d^b)>>>0,(e^b)>>>0]}function sfc32(a,b,c,d){return function(){c>>>=0,d>>>=0;var e=0|(a>>>=0)+(b>>>=0);retuM rn a=b^b>>>9,b=0|c+(c<<3),c=0|(c=c<<21|c>>>11)+(e=0|e+(d=0|d+1)),(e>>>0)/4294967296}}let mathRand=sfc32(...cyrb128(seed)); margin: 0; padding: 0; overflow: hidden; position: absolute; width: 100%; height: 100%; background-color: black; <canvas id="canvas"></canvaM const canvas=document.getElementById("canvas"),ctx=canvas.getContext("2d"),noise=perlinNoise();function resizeCanvas(){for(let t of(canvas.width=window.innerWidth,canvas.height=window.innerHeight,generateClouds(),clouds))t.angle=2*(t.angle/(2*Math.PI)*Math.PI)}window.addEventListener("resize",resizeCanvas),canvas.width=window.innerWidth,canvas.height=window.innerHeight;const stars=[];for(let a=0;2e3>a;a++){let t=mathRand()*canvas.width,l=mathRand()*canvas.height,n=1.5*mathRand(),e=Math.floor(3*mM athRand()),o="white",i="white";1===e?(o="paleblue",i="lightskyblue"):2===e&&(o="palegoldenrod",i="lemonchiffon");let r={x:t,y:l,radius:n,color:o,glowColor:i,isBlinking:!1,blinkCountdown:Math.floor(100*mathRand())+50};stars.push(r)}function drawStars(){ctx.fillStyle="black",ctx.fillRect(0,0,canvas.width,canvas.height);for(let t=0;t<stars.length;t++){let l=stars[t];if(l.isBlinking?(l.blinkCountdown--,0>=l.blinkCountdown&&(l.isBlinking=!1,l.blinkCountdown=Math.floor(100*mathRand())+50)):(l.blinkCountdown--,0>=l.blinkCM ountdown&&(l.isBlinking=!0,l.blinkCountdown=Math.floor(10*mathRand())+10)),ctx.globalAlpha=l.isBlinking?.5:1,ctx.beginPath(),ctx.fillStyle=l.color,ctx.arc(l.x,l.y,l.radius,0,2*Math.PI),ctx.fill(),l.isBlinking){let n=4*l.radius,e=2*Math.PI/4;ctx.beginPath(),ctx.fillStyle=l.glowColor,ctx.arc(l.x,l.y,l.radius/4,0,2*Math.PI),ctx.fill(),ctx.globalAlpha=.5,ctx.arc(l.x,l.y,2*l.radius,0,2*Math.PI),ctx.fillStyle=l.glowColor,ctx.fill(),ctx.globalAlpha=1;for(let o=0;o<4;o++){let i=o*e,r=l.x+n*Math.cos(i),s=l.y+n*Math.sin(i);cM tx.moveTo(l.x,l.y),ctx.lineTo(r,s)}ctx.strokeStyle=l.glowColor,ctx.lineWidth=l.radius/2,ctx.stroke()}}}let time=0;const clouds=[],nebulaColors=["rgba(255, 94, 77, 0.8)","rgba(255, 195, 18, 0.8)","rgba(91, 44, 111, 0.8)","rgba(87, 95, 207, 0.8)","rgba(24, 153, 21, 0.8)","rgba(51, 217, 178, 0.8)"],cloudCount=80;function generateClouds(){clouds.length=0;for(let t=0;t<80;t++){let l=2*(t/80*Math.PI),n=nebulaColors[Math.floor(mathRand()*nebulaColors.length)],e=canvas.width/2+.1*Math.cos(l)*Math.min(canvas.width,canvas.heM ight),o=canvas.height/2+.1*Math.sin(l)*Math.min(canvas.width,canvas.height),i={radius:250*mathRand()+200,angle:l,color:n,x:e,y:o};window.$generativeTraits={Color:i.color,Radius:i.radius},console.log(window.$generativeTraits),clouds.push(i)}}function perlinNoise(){function t(t,l,n){let e=3&t,o=2>e?l:n,i=2>e?n:l;return(1&e?-o:o)+(2&e?-2*i:2*i)}function l(t){return t*t*t*(t*(6*t-15)+10)}function n(t,l,n){return l+t*(n-l)}let e=new Uint8Array(512);for(let o=0;256>o;o++)e[o]=o;for(let i=256;0<i;i--){let r=Math.floor(matM hRand()*i);[e[i-1],e[256+i-1]]=[e[r],e[r]]}return function(n,o){var i,r,s,c,$,d,g,u,h;let f=255&Math.floor(n),_=255&Math.floor(o),x=n-Math.floor(n),v=o-Math.floor(o),w=l(x),C=l(v),b=e[f]+_,k=e[f+1]+_;return g=C,u=(i=w,r=t(e[b],x,v),r+i*((s=t(e[k],x-1,v))-r)),u+g*((h=(c=w,$=t(e[b+1],x,v-1),$+c*((d=t(e[k+1],x-1,v-1))-$)))-u)}}function drawCosmicClouds(){for(let t of clouds){t.angle+=.001;let l=canvas.width/2+.6*Math.cos(t.angle)*Math.min(canvas.width,canvas.height),n=canvas.height/2+.3*Math.sin(t.angle)*Math.min(canvM as.width,canvas.height);ctx.save(),ctx.translate(l,n),ctx.scale(t.radius,t.radius/5),ctx.beginPath();for(let e=0;e<2*Math.PI;e+=.01){let o=5*noise(t.angle+.5*e,5e-4*time),i=5*noise(t.angle+.5*e+100,5e-4*time),r=(1+o)*Math.cos(e),s=(1+i)*Math.sin(e);0==e?ctx.moveTo(r,s):ctx.lineTo(r,s)}ctx.closePath();let c=ctx.createRadialGradient(0,0,0,0,0,1);c.addColorStop(0,t.color),c.addColorStop(1,"rgba(255, 255, 255, 0)"),ctx.fillStyle=c,ctx.fill(),ctx.restore()}}function draw(){drawStars(),drawCosmicClouds(),time++,requestAnM imationFrame(draw)}resizeCanvas(),generateClouds(),draw(); <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b467e399ac93fcd","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> text/plain;charset=utf-8 (((((((((((((((((((((((((((((((((((((((((((((((((( 9999999999999999999999999%G U text/html;charset=utf-8 <meta charset="UTF-8"> <title>GENERATIVE BTC LOGO</title> <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.5.0/p5.min.js"></script> <script id="snippet-contract-code" type="text/javascript"> const tokenIdRand = (Math.floor(Math.random() * 1000000) + 1) * 1000000 + (Math.floor(Math.random() * 100) + 1); let tokenData = { "tokenId": tokenIdRand, "seed": tokenIdRand.toString(), <script id="snippet-random-code" type="text/javascript"> const urlSeed = new URLSearchParams(window.location.search).get('seed'); if (urlSeed && urlSeed.length > 0) { tokenData.seed = urlSeed; const seed = tokenData.seed function cyrb128($) { let _ = 1779033703, u = 3144134277, i = 1013904242, l = 2773480762; for (let n = 0, r; n < $.length; n++) _ = u ^ Math.imul(_ ^ (r = $.charCodeAt(n)), 597399067), u = i ^ Math.iM mul(u ^ r, 2869860233), i = l ^ Math.imul(i ^ r, 951274213), l = _ ^ Math.imul(l ^ r, 2716044179); return _ = Math.imul(i ^ _ >>> 18, 597399067), u = Math.imul(l ^ u >>> 22, 2869860233), i = Math.imul(_ ^ i >>> 17, 951274213), l = Math.imul(u ^ l >>> 19, 2716044179), [(_ ^ u ^ i ^ l) >>> 0, (u ^ _) >>> 0, (i ^ _) >>> 0, (l ^ _) >>> 0] function sfc32($, _, u, i) { return function () { u >>>= 0, i >>>= 0; var l = ($ >>>= 0) + (_ >>>= 0) | 0; return $ = _ ^ _ >>> 9, _ = u + (u << 3) | 0, u = (u = u << 21 | u >>> 11) + (l = l + (i = i + 1 | 0) | 0) | 0, (l >>> 0) / 4294967296 // IMPORTANT: Instead of Math.random(), use this function mathRand() for random number generation. // This function generates a random number between 0 and 1 with on-chain seed. let mathRand = sfc32(...cyrb128(seed)); position: fixed; right: 0; bottom: 0; left: 0; color: rgb(255, 255, 255); background-color: rgb(0, 0, 0); display: flex; justify-content: center; align-items: center; margin: 0; padding: 0; font-size: 0.8em; /* overflow: hidden; */ object-fit: contain; max-height: 100%; max-width: 100%; #fullScreen { display: flex; position: fixed; right: 0; bottom: 0; left: 0; justify-content: center; align-items: center; #fullScreen canvas { object-fit: contain; max-height: 100%; max-width: 100%; color: rgb(249, 249, 249); opacity: 0.75; background-color: rgb(23, 23, 23); border-radius: 10px; padding-top: 0%; width: auto; height: auto; position: fixed; text-align: center; justify-content: center; align-items: center; top: 50%; left: 50%; -webkit-transform: translate(-50%, -50%); transform: translate(-50%, -50%); #progress h2 { display: block; font-size: 0.9rem; color: rgb(239, 239, 239); margin: 5% font-size: 0.75rem; display: block; margin: 5% #progress hr { width: 75%; margin-bottom: 10% <div id="fullScreen"> <div id="progress"> <script type="text/javascript"> ////////////////INFO & FEATURES let title = "Generative BTC Logo"; let st; const rand = mathRand(); let cnv; let maxBrush = Math.floor(randBetween(500, 1500)) function clr(rand) { if (rand > 0.75) { return 240 } else { return 10 } window.$generativeTraits = { "BG Color": clr(rand), "Force": Math.floor(randBetween(1, 5)), "Brush Size": maxBrush, console.loM g(title + " | smldms 2023.02") console.log(window.$generativeTraits) let img; let balls = []; let maxFrame = 1500; let maxForce = 1; function preload() { img = loadImage('https://gateway.pinata.cloud/ipfs/QmQVs9Xpa5e1JDooNiTPWct2kEorxwqk92A1HkHrn8jx1V'); function setup() { randomSeed(seed); noiseSeed(seed); cnv = createCanvas(1920, 1920, WEBGL); cnv.parent(fullScreen) img.resize(width, height) background(clr(rand)); function draw() { rotateY(sin(frameCount * 0.05) / 25) translate(-width / 2, -height / 2, frameCount * 0.25) let x = mathRand() * width let y = mathRand() * height for (let i = 0; i < balls.length; i++) { balls[i].draw(); balls[i].update(); balls[i].changeColour(); } for (let i = 0; i < balls.length; i++) { if (balls[i].radius < 0) { balls.splice(i, mathRand() * 2); } } if (frameCount < maxFrame) { for (let i = 0; i < 5; i++) { balls.push(neM w Ball(x, y, color(img.get(x + mathRand() * 2, y + mathRand() * 2)))); } } else { noLoop() print('stop') // saver() // timer(2000) } class Ball { constructor(mX, mY, c) { this.location = createVector(mX, mY); this.radius = randBetween(0M this.r = red(c); this.g = green(c); this.b = blue(c); this.a = alpha(c); this.xOff = 0.0; this.yOff = 0.0; } update() { this.radius -= mathRand() * 0.00025; let force = randBetween(0.5, maxForce) this.xOff = this.xOff + randBetween(-force, force); this.nX = noise(this.location.x) * this.xOff; this.yOff = this.yOff + randBetween(-force, force); this.nY = noise(this.location.y) * this.yOff; this.location.x += this.nX; this.location.y += this.nY; } changeColour() { this.c = color(img.get(this.location.x, this.location.y)); this.r = red(this.c); this.g = green(this.c); this.b = blue(this.c); this.a = alpha(this.c); } draw() { noStroke(); fill(this.r, this.g, this.b); let brushSize = round(randBetween(1, maxBrush)); if (this.a > 10) { strokeWeight(randBetween(0.25,0.5)) if (clr(rand) == 240) { stroke(10) } else { stroke(250) } ellipse(this.location.x, this.location.y, this.radius * brushSize, this.radius * brushSize); } else { fill(this.r, this.g, this.b, 100) noStroke() rect(this.location.x, this.location.y, thisM .radius * brushSize / randBetween(2.5, 5)); } } function randBetween(a, b) { if (!b) { return mathRand() * a } return mathRand() * (b - a) + a function keyTyped() { if (keyCode === 83) { // if "s" is pressed save(title + '.png'); } function timer(t) { setTimeout(function () { location.reload(true); }, t); function saver() { save(title + '.png'); </script> <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTL unhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b4496d36872a244","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> K333333333333333333333333333333333333333331 e33333333333333333333-l! text/plain;charset=utf-8 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stEvtM ="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMM:History> <rdf:Seq> <M rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </rdf:Seq> </xmpMM:HistM ory> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> sMuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu text/plain;charset=utf-8 4j2DC-L5:ROjuPjVUTnMWt4e2STOfc5Q0gSOL0bwhwpvW487wIgI= text/plain;charset=utf-8 ){"p":"sns","op":"reg","name":"karl.sats"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! Bj@=:ETH.ETH:0x3D8672Df3a7B22d5f35a54f94149AeB03C8cE4A5:42967925::0 DjB=:ETH.ETH:0xFad83F729d5861c490F596f04f6a4c21C8a12D62:13856019:te:0 text/plain;charset=utf-8 :{"p":"brc-20","op":"mint","tick":"sats","amt":"100000000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"doge","amt":"4200"}h! OiCCPPhotoshop ICC profile FjDOUT:3B8C64C40F30C2E9041EA84627B3BAF82AF38E33307131B05B4219D078C98664 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> text/plain;charset=utf-8 "name": "<1000K.sats" text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! (((((((((((((((((((((((((((((((((((((((((((((((((( %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz &'()*56789:CDEFGHIJSTUVWXYM text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! (((((((((((((((((((((((((((((((((((((((((((((((((( text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! wwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwww_R text/plain;charset=utf-8 text/plain;charset=utf-8 FjDOUT:F4D1870E3FE2CB007BC91655041E82609E8702855C08FE39FA0247B8387F673D FjDOUT:6E07FE163099E74D25660E334E707B7B753B6D2EBBC0F10E05EA2E5D6E821293 Aj?=:ETH.ETH:0xD99e13a51125aF0Db0633644f17287AC83Fb6B05:9062493::0 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! FjDOUT:D5E7A5694E7DF5819E4C0D0AA409AA757826D026220284705D4E2B9BE300F6EF text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #002</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Grey</meow:Skin> <meow:Eyes>Tired</meow:Eyes> <meow:Gear>Balloon</meow:Gear> <meow:Message>Come play with us</meow:Message> <path stroke="#ff8419" d="M0 0h50M0 1h50M0 2h50M0 3h37M42 3h8M0 4h36MM 43 4h7M0 5h35M44 5h6M0 6h34M45 6h5M0 7h34M45 7h5M0 8h34M45 8h5M0 9h34M45 9h5M0 10h22M24 10h1M29 10h5M45 10h5M0 11h20M30 11h5M44 11h6M0 12h19M31 12h5M43 12h7M0 13h16M34 13h3M42 13h8M0 14h15M35 14h3M41 14h9M0 15h14M35 15h4M40 15h10M0 16h14M37 16h2M40 16h10M0 17h14M38 17h1M40 17h10M0 18h13M40 18h10M0 19h13M40 19h10M0 20h12M40 20h10M0 21h11M40 21h10M0 22h11M40 22h10M0 23h12M39 23h11M0 24h13M37 24h1M39 24h11M0 25h14M36 25h2M39 25h11M0 26h15M36 26h1M38 26h12M0 27h15M37 27h13M0 28h16M36 28h14M0 29h16M36 29h14M0 30h17M34 3M 0h1M36 30h14M0 31h17M32 31h2M35 31h15M0 32h15M34 32h16M0 33h14M33 33h17M0 34h14M32 34h18M0 35h15M33 35h17M0 36h16M33 36h17M0 37h17M33 37h17M0 38h18M32 38h18M0 39h20M31 39h19M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M37 3h5M36 4h1M42 4h1M35 5h1M43 5h1M34 6h1M44 6h1M34 7h1M44 7h1M34 8h1M44 8h1M34 9h1M44 9h1M22 10h2M25 10h4M34 10h1M44 10h1M20 11h2M24 11h1M29 11h1M35 11h1M43 11h1M19 12h1M30 12h1M36 12h1M42 12h1M16 13h3M31 13h3M37 13h1M41 13h1M15 14h1M M34 14h1M38 14h3M14 15h1M16 15h3M32 15h3M39 15h1M14 16h2M19 16h1M31 16h1M35 16h2M39 16h1M14 17h2M35 17h1M37 17h1M39 17h1M13 18h1M15 18h1M19 18h1M31 18h1M35 18h1M37 18h3M13 19h1M15 19h1M18 19h1M32 19h1M35 19h1M38 19h2M12 20h1M15 20h1M17 20h1M19 20h3M23 20h3M33 20h1M35 20h1M38 20h2M11 21h1M15 21h2M18 21h1M22 21h1M25 21h2M28 21h3M34 21h2M38 21h2M11 22h1M18 22h1M27 22h1M31 22h1M34 22h1M38 22h2M12 23h1M17 23h1M19 23h4M28 23h5M37 23h2M13 24h1M17 24h1M20 24h2M29 24h2M33 24h1M36 24h1M38 24h1M14 25h3M34 25h2M38 25h1M15 26h1M M35 26h1M37 26h1M15 27h1M35 27h2M16 28h1M34 28h2M16 29h1M34 29h2M17 30h1M32 30h2M35 30h1M34 31h1M15 32h2M33 32h1M14 33h1M17 33h1M32 33h1M14 34h1M17 34h1M31 34h1M15 35h1M18 35h1M32 35h1M16 36h1M18 36h1M32 36h1M17 37h2M32 37h1M18 38h2M21 38h1M23 38h1M27 38h1M29 38h1M31 38h1M20 39h11" /> <path stroke="#da000f" d="M37 4h4M36 5h5M35 6h2M38 6h4M35 7h2M38 7h4M35 8h2M38 8h5M35 9h7M35 10h2M38 10h4M36 11h5M37 12h3M38 13h2" /> <path stroke="#bc0000" d="M41 4h1M41 5h2M42 6h2M42 7h2M43 8h1M42 9h2M42 10h2M41 11h2M40 12h2M40 13M <path stroke="#ffe8e9" d="M37 6h1M37 7h1M37 8h1M37 10h1" /> <path stroke="#2c43b3" d="M22 11h2M22 12h2M22 13h2M21 14h2M21 15h2M21 16h2M21 17h1M20 18h2M20 19h1" /> <path stroke="#1c3095" d="M25 11h1M24 12h1M24 13h1M23 14h2M23 15h2M23 16h1M22 17h2M22 18h2M21 19h3M22 20h1" /> <path stroke="#5ab100" d="M26 11h2M25 12h3M25 13h2M25 14h2M25 15h2M24 16h2M24 17h2M24 18h1M24 19h1" /> <path stroke="#50a500" d="M28 11h1M28 12h1M27 13h2M27 14h2M27 15h1M26 16h2M26 17h1M25 18h2M25 19h1" /> <path stroke="#a91cb4" d="MM 20 12h2M19 13h1M17 14h3M19 15h1M20 16h1M19 19h1M18 20h1M17 21h1M17 22h1" /> <path stroke="#ffbd00" d="M29 12h1M29 13h2M29 14h1M28 15h2M28 16h2M27 17h2M27 18h2M26 19h2M26 20h2M27 21h1" /> <path stroke="#db59e3" d="M20 13h2M20 14h1M20 15h1M20 17h1" /> <path stroke="#68159b" d="M16 14h1M15 15h1M15 22h2M15 23h2M14 24h3" /> <path stroke="#fdad00" d="M30 14h1M30 15h1M30 16h1M29 17h2M29 18h1M28 19h2M28 20h2" /> <path stroke="#dd3d01" d="M31 14h3M31 15h1M30 18h1M30 19h2M30 20h3M31 21h2" /> <path stroke="#707070" d="MM 16 16h3M32 16h3M16 17h1M34 17h1M16 18h1M34 18h1M16 19h1M34 19h1M16 20h1M34 20h1M19 21h3M23 21h2M19 22h8M28 22h3M18 23h1M23 23h5M18 24h2M22 24h7M31 24h2M17 25h7M27 25h7M16 26h2M20 26h4M27 26h4M33 26h2M16 27h19M17 28h17M17 29h17M20 30h9M31 30h1M21 31h2M27 31h1M15 33h2M15 34h2M30 34h1M16 35h2M21 35h1M27 35h1M29 35h3M17 36h1M19 36h3M24 36h1M27 36h5M19 37h13M20 38h1M22 38h1M24 38h3M28 38h1M30 38h1" /> <path stroke="#e2c6c0" d="M17 17h3M31 17h3M17 18h2M32 18h2M17 19h1M33 19h1" /> <path stroke="#b30013" d="M36 17h1M36 1M 8h1M36 19h1M36 20h1M36 21h1M35 22h2M33 23h3" /> <path stroke="#7e24b5" d="M14 18h1M14 19h1M13 20h2M12 21h3M12 22h3M13 23h2" /> <path stroke="#ab0009" d="M37 19h1M37 20h1M37 21h1M37 22h1M36 23h1M34 24h2" /> <path stroke="#c02c00" d="M33 21h1M32 22h2" /> <path stroke="#980008" d="M24 25h3M24 26h3" /> <path stroke="#ffb0a1" d="M18 26h2M31 26h2" /> <path stroke="#f29f00" d="M18 30h2M29 30h2M17 31h1M20 31h1M28 31h1M31 31h1M17 32h1M21 32h7M32 32h1M18 33h1M30 33h2M18 34h1M21 34h1M27 34h1M29 34h1M19 35h2M24 35h1M28 3L 5h1M22 36h2M25 36h2" /> <path stroke="#ffba00" d="M18 31h2M29 31h2M18 32h3M28 32h4M19 33h11M19 34h2M22 34h5M28 34h1M22 35h2M25 35h2" /> <path stroke="#ffffff" d="M23 31h4" /> text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"BAPP","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"BAPP","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"BAPP","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"BAPP","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"BAPP","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"BAPP","amt":"1000"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! 4wwwwwwwwwwwwwwwwwE" j)333333333333333333332 AUUUUUUUUUUUUUUUUUUU ."""""""""""""""""""""#%2 (((((((((((((((((((((((((((((((((((((((((((((((((( text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 !Powered by Luxor Tech1002 KjISWAPTX:0xbc1963a865ab26aa4f28a880841a40de52567c1b6a0918a2dff4548ea0d909fdi1X text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! Aj?=:ETH.ETH:0x5A0Ea57e49638D335761DE494aFC0742e1cc3209:2887811::0 IjGREFUND:A66C54611E7BC9DC230DC16B33688FE0297ED4093842AA421D98FE1C32BFE212 text/plain;charset=utf-8 3{"p":"brc-20","op":"mint","tick":"nice","amt":"69"}h! text/plain;charset=utf-8 3{"p":"brc-20","op":"mint","tick":"nice","amt":"69"}h! text/plain;charset=utf-8 3{"p":"brc-20","op":"mint","tick":"nice","amt":"69"}h! text/plain;charset=utf-8 3{"p":"brc-20","op":"mint","tick":"nice","amt":"69"}h! text/plain;charset=utf-8 3{"p":"brc-20","op":"mint","tick":"nice","amt":"69"}h! text/plain;charset=utf-8 3{"p":"brc-20","op":"mint","tick":"nice","amt":"69"}h! text/plain;charset=utf-8 9{"p":"brc-20","op":"transfer","tick":"wzrd","amt":"1000"}h! GjE=:BNB.ETH-1C9:bnb1s43y05a90kujwhyusp3y9al3rjccjxnapydsa6:3562261:te:0 text/plain;charset=utf-8 +{"p":"sns","op":"reg","name":"WebGPU.sats"}h! text/plain;charset=utf-8 +{"p":"sns","op":"reg","name":"kaixin.sats"}h! text/plain;charset=utf-8 +{"p":"sns","op":"reg","name":"839239.sats"}h! text/plain;charset=utf-8 1{"p":"sns","op":"reg","name":"ABCDECapital.sats"}h! text/plain;charset=utf-8 zTXtRaw profile type exif text/plain;charset=utf-8 text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz &'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz application/x-zip-compressed text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! JSON{"accessors":[{"bufferView":1,"componentType":5126,"count":144,"max":[-9.144002914428711,19.43100357055664,90.40499877929688],"min":[-88.9000015258789,-60.32500076293945,10.64900016784668],"type":"VEC3"},{"bufferView":1,"byteOffset":1728,"componentType":5126,"count":144,"max":[1.0,1.0,1.0],"min":[-1.0,-1.0,-1.0],"type":"VEC3"},{"bufferView":0,"componentType":5125,"count":312,"type":"SCALAR"}],"asset":{"extras":{"author":"koinKangaroo (https://sketchfab.com/koinKangaroo)","license":"CC-BY-4.0 (htM tp://creativecommons.org/licenses/by/4.0/)","source":"https://sketchfab.com/3d-models/3d-square-frame-eca0dad45a8c4fcf91c8502f1bec4576","title":"3D square Frame"},"generator":"Sketchfab-12.67.0","version":"2.0"},"bufferViews":[{"buffer":0,"byteLength":1248,"name":"floatBufferViews","target":34963},{"buffer":0,"byteLength":3456,"byteOffset":1248,"byteStride":12,"name":"floatBufferViews","target":34962}],"buffers":[{"byteLength":4704}],"materials":[{"doubleSided":true,"name":"Scene_-_Root","pbrMetallicRoughness":{"meM tallicFactor":0.0,"roughnessFactor":0.6}}],"meshes":[{"name":"Object_0","primitives":[{"attributes":{"NORMAL":1,"POSITION":0},"indices":2,"material":0,"mode":4}]}],"nodes":[{"children":[1],"matrix":[1.0,0.0,0.0,0.0,0.0,2.220446049250313e-16,-1.0,0.0,0.0,1.0,2.220446049250313e-16,0.0,0.0,0.0,0.0,1.0],"name":"Sketchfab_model"},{"children":[2],"name":"079f7c192bf548f88285327dd7369517.stl.cleaner.materialmerger.gles"},{"mesh":0,"name":"Object_2"}],"scene":0,"scenes":[{"name":"Sketchfab_Scene","nodes":[0]}]}` text/plain;charset=utf-8 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"1000","amt":"1"}h! <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #001</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Grey</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meeeeooowwwwww</meow:Message> <path stroke="#444ac5" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50MM 0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h16M19 15h13M35 15h15M0 16h15M21 16h9M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h16M35 28h15M0 29h16M35 29h15M0 30h17M34 30h16M0 31h19M32 31h18M0 32h15M17 32h3M31 32h19M0 33h14M18 33h1M32 33h18M0 34h14M18 34h1M32 34h18M0 35h15M33 35h17M0 36h16M33 36h17M0 37h17M33 37h17M0 38h18M32 38h18M0 39h20M31M 39h19M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 15h3M32 15h3M15 16h1M19 16h2M30 16h2M35 16h1M15 17h1M21 17h9M35 17h1M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M18 19h1M32 19h1M35 19h1M15 20h1M17 20h1M33 20h1M35 20h1M15 21h2M34 21h2M16 22h1M34 22h1M15 23h1M20 23h2M29 23h2M35 23h1M15 24h1M20 24h2M29 24h2M35 24h1M15 25h1M25 25h1M35 25h1M15 26h1M24 26h1M26 26h1M35 26h1M15 27h1M35 27h1M16 28h1M34 28h1M16 29h1M34 29h1M17 30h2M32 30h2M19 31h2M30 31h2M1M 5 32h2M20 32h1M30 32h1M14 33h1M17 33h1M19 33h1M31 33h1M14 34h1M17 34h1M19 34h1M31 34h1M15 35h1M18 35h1M32 35h1M16 36h1M18 36h1M32 36h1M17 37h2M32 37h1M18 38h2M21 38h1M23 38h1M27 38h1M29 38h1M31 38h1M20 39h11" /> <path stroke="#707070" d="M16 16h3M32 16h3M16 17h1M20 17h1M30 17h1M34 17h1M16 18h1M21 18h9M34 18h1M16 19h1M19 19h13M34 19h1M16 20h1M18 20h15M34 20h1M17 21h17M17 22h3M22 22h7M31 22h3M16 23h3M23 23h5M32 23h3M16 24h3M23 24h5M32 24h3M16 25h4M22 25h3M26 25h3M31 25h4M16 26h2M20 26h4M25 26h1M27 26h4M33 26h2M16 27M h19M17 28h17M17 29h17M19 30h13M21 31h4M26 31h4M21 32h3M27 32h3M15 33h2M20 33h4M27 33h4M15 34h2M20 34h5M26 34h5M16 35h2M19 35h13M17 36h1M19 36h13M19 37h13M20 38h1M22 38h1M24 38h3M28 38h1M30 38h1" /> <path stroke="#e2c6c0" d="M17 17h3M31 17h3M17 18h2M32 18h2M17 19h1M33 19h1" /> <path stroke="#c3d57f" d="M20 22h2M29 22h2M19 23h1M22 23h1M28 23h1M31 23h1M19 24h1M22 24h1M28 24h1M31 24h1M20 25h2M29 25h2" /> <path stroke="#f0cdc5" d="M18 26h2M31 26h2" /> <path stroke="#ffffff" d="M25 31h1M24 32h3M24 33h3M25 34h1" /> text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 +{"p":"sns","op":"reg","name":"DowJoe.sats"}h! <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #032</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Black, White</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>Pencil and beret</meow:Gear> <meow:Message>A creative little pussy</meow:Message> <path stroke="#51445a" d="M0 0h50M0 1h50M0 2h50M M0 3h50M0 4h50M0 5h50M0 6h50M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h31M32 13h18M0 14h15M18 14h12M31 14h1M35 14h15M0 15h14M20 15h5M36 15h14M0 16h14M36 16h14M0 17h14M36 17h14M0 18h14M36 18h14M0 19h14M36 19h14M0 20h15M35 20h15M0 21h15M35 21h15M0 22h14M36 22h14M0 23h14M36 23h14M0 24h13M37 24h13M0 25h12M38 25h12M0 26h13M37 26h13M0 27h12M38 27h12M0 28h13M37 28h13M0 29h14M36 29h14M0 30h15M35 30h15M0 31h17M33 31h17M0 32h14M16 32h3M31 32h19M0 33h13M17 33h1M32 33h18M0 34h13M33 34h17M0 35h14M35 35h15M0 36h15M35 36hM 15M0 37h16M33 37h17M0 38h17M32 38h18M0 39h19M31 39h19M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M31 13h1M15 14h3M30 14h1M32 14h3M14 15h1M18 15h2M25 15h7M35 15h1M14 16h1M20 16h6M31 16h1M35 16h1M14 17h1M18 17h2M24 17h1M32 17h1M35 17h1M14 18h1M17 18h1M25 18h2M33 18h1M35 18h1M14 19h1M16 19h1M27 19h3M34 19h2M15 20h1M30 20h5M15 21h1M34 21h1M14 22h1M29 22h3M35 22h1M14 23h1M19 23h2M28 23h1M32 23h1M35 23h1M13 24h1M18 24h1M21 24h1M36 24h1M12 25h1M24 25h1M26M 25h1M37 25h1M13 26h1M25 26h1M36 26h1M12 27h1M37 27h1M13 28h1M36 28h1M14 29h1M35 29h1M15 30h2M33 30h2M17 31h3M30 31h3M14 32h2M19 32h1M30 32h1M13 33h1M16 33h1M18 33h1M20 33h1M23 33h1M26 33h1M29 33h1M31 33h1M13 34h1M16 34h5M23 34h4M29 34h4M14 35h2M20 35h1M23 35h1M26 35h1M29 35h1M33 35h2M15 36h1M21 36h2M27 36h2M33 36h2M16 37h17M17 38h2M20 38h1M22 38h1M27 38h1M29 38h1M31 38h1M19 39h12" /> <path stroke="#2c2c2c" d="M15 15h3M15 16h1M19 16h1M15 17h1M20 17h4M15 18h1M18 18h4M15 19h1M17 19h4M16 20h4M16 21h3M15 22h2M35 24h1MM 35 25h2M35 26h1M34 27h3M32 28h4M32 29h3M17 30h4M30 30h3M20 31h2M29 31h1M20 32h4M28 32h2M14 33h2M19 33h1M21 33h2M24 33h2M27 33h2M30 33h1M14 34h2M21 34h2M27 34h2M21 35h2M27 35h2M19 38h1M24 38h2M30 38h1" /> <path stroke="#ffffff" d="M32 15h3M34 16h1M34 17h1M22 18h3M34 18h1M21 19h6M20 20h10M19 21h15M17 22h12M32 22h3M15 23h4M21 23h7M30 23h1M33 23h2M14 24h4M19 24h2M22 24h7M32 24h3M13 25h11M25 25h1M27 25h2M32 25h3M14 26h4M20 26h5M26 26h5M33 26h2M13 27h21M14 28h18M15 29h17M21 30h9M22 31h7M24 32h4M18 35h1M18 36h1M21 38h1M2M 3 38h1M26 38h1M28 38h1" /> <path stroke="#ffd4c6" d="M16 16h3M32 16h2M16 17h2M33 17h1M16 18h1" /> <path stroke="#9d3032" d="M26 16h5M25 17h7M27 18h6M30 19h4" /> <path stroke="#4aadff" d="M29 23h1M31 23h1M29 24h3" /> <path stroke="#72beff" d="M29 25h3" /> <path stroke="#ffadaf" d="M18 26h2M31 26h2" /> <path stroke="#c72831" d="M16 35h2M16 36h2" /> <path stroke="#ffc32f" d="M19 35h1M24 35h2M30 35h2M19 36h2M23 36h4M29 36h3" /> <path stroke="#efb97c" d="M32 35h1M32 36h1" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #053</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Grey, White</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meow</meow:Message> <path stroke="#d4a1bc" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 7M h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h16M19 15h13M35 15h15M0 16h15M21 16h9M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h16M35 28h15M0 29h16M35 29h15M0 30h17M34 30h16M0 31h16M35 31h15M0 32h16M35 32h15M0 33h15M36 33h14M0 34h13M36 34h14M0 35h13M36 35h14M0 36h14M36 36h14M0 37h15M35 37h15M0 38h17M34 38h16M0 39h19M32 39h18M0 40h50M0 41h50M0 42M h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 15h3M32 15h3M15 16h1M19 16h2M30 16h2M35 16h1M15 17h1M21 17h9M35 17h1M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M18 19h1M32 19h1M35 19h1M15 20h1M17 20h1M33 20h1M35 20h1M15 21h2M34 21h2M16 22h1M34 22h1M15 23h1M20 23h2M29 23h2M35 23h1M15 24h1M20 24h2M28 24h1M31 24h1M35 24h1M15 25h1M25 25h1M35 25h1M15 26h1M24 26h1M26 26h1M35 26h1M15 27h1M35 27h1M16 28h1M34 28h1M16 29h1M34 29h1M17 30h2M32 30h2M16 31h1M19 31h2M30 31h2M34 31h1M16 3M 2h1M24 32h3M34 32h1M15 33h1M35 33h1M13 34h3M35 34h1M13 35h1M15 35h1M35 35h1M14 36h2M35 36h1M15 37h2M34 37h1M17 38h2M22 38h1M24 38h1M26 38h1M28 38h1M32 38h2M19 39h13" /> <path stroke="#7b7b7b" d="M16 16h3M32 16h3M16 17h1M20 17h1M30 17h1M34 17h1M16 18h1M21 18h9M34 18h1M16 19h1M19 19h13M34 19h1M16 20h1M18 20h15M34 20h1M17 21h17M17 22h3M22 22h12M16 23h3M23 23h6M31 23h4M16 24h3M23 24h5M29 24h2M32 24h3M16 25h4M22 25h3M26 25h9M17 26h1M20 26h4M25 26h1M27 26h4M33 26h1M18 27h15M20 28h11M22 29h9M17 31h2M32 31h2M17 32h3M31 32M h3M16 33h3M32 33h3M16 34h3M32 34h3M14 35h1M16 35h4M31 35h3M16 36h5M30 36h3M17 37h14M19 38h3M29 38h2" /> <path stroke="#ffc4c6" d="M17 17h3M31 17h3M17 18h2M32 18h2M17 19h1M33 19h1" /> <path stroke="#c2c64f" d="M20 22h2M19 23h1M22 23h1M19 24h1M22 24h1M20 25h2" /> <path stroke="#ffffff" d="M16 26h1M34 26h1M16 27h2M33 27h2M17 28h3M31 28h3M17 29h5M31 29h3M19 30h13M21 31h9M20 32h4M27 32h4M19 33h13M19 34h13M20 35h11M34 35h1M21 36h9M33 36h2M31 37h3M23 38h1M25 38h1M27 38h1M31 38h1" /> <path stroke="#ffa18b" d="M18 26h2M text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #054</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Grey, White</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meow</meow:Message> <path stroke="#afea7b" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 7M h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h14M19 14h12M36 14h14M0 15h14M20 15h10M36 15h14M0 16h14M36 16h14M0 17h14M36 17h14M0 18h14M36 18h14M0 19h14M36 19h14M0 20h15M35 20h15M0 21h15M35 21h15M0 22h14M36 22h14M0 23h14M36 23h14M0 24h13M37 24h13M0 25h12M38 25h12M0 26h13M37 26h13M0 27h12M38 27h12M0 28h13M37 28h13M0 29h14M36 29h14M0 30h15M35 30h15M0 31h17M33 31h17M0 32h19M31 32h19M0 33h18M32 33h18M0 34h18M32 34h18M0 35h15M33 35h17M0 36h15M33 36h17M0 37h16M33 37h17M0 38h17M32 38h18M0 39h19M31 39h19M0 40h50M0 M 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M14 14h5M31 14h5M14 15h1M19 15h1M30 15h1M35 15h1M14 16h1M20 16h10M35 16h1M14 17h1M18 17h2M30 17h2M35 17h1M14 18h1M17 18h1M32 18h1M35 18h1M14 19h1M16 19h1M33 19h1M35 19h1M15 20h1M34 20h1M15 21h1M34 21h1M14 22h1M19 22h3M29 22h3M35 22h1M14 23h1M18 23h1M22 23h1M28 23h1M32 23h1M35 23h1M13 24h1M36 24h1M12 25h1M24 25h3M37 25h1M13 26h1M25 26h1M36 26h1M12 27h1M37 27h1M13 28h1M36 28h1M14 29h1M35 29h1M15 30h2M33 30h2M17 31h3M3M 0 31h3M19 32h1M30 32h1M18 33h1M31 33h1M18 34h1M31 34h1M15 35h3M32 35h1M15 36h1M17 36h1M32 36h1M16 37h2M32 37h1M17 38h2M20 38h1M22 38h1M27 38h1M29 38h1M31 38h1M19 39h12" /> <path stroke="#7b7b7b" d="M15 15h4M31 15h4M15 16h5M30 16h5M15 17h1M20 17h10M34 17h1M15 18h1M18 18h14M34 18h1M15 19h1M17 19h16M34 19h1M16 20h18M16 21h18M15 22h4M22 22h7M32 22h3M15 23h3M23 23h5M33 23h2M14 24h5M22 24h7M32 24h4M13 25h5M22 25h1M28 25h1M33 25h4M14 26h4M20 26h2M29 26h2M33 26h3M13 27h8M25 27h1M30 27h7M14 28h8M24 28h3M29 28h7M15 29h20M17M 30h16M20 31h1M29 31h1M19 33h2M29 33h2M19 34h3M28 34h3M18 35h5M27 35h5M16 36h1M18 36h14M18 37h14M23 38h4" /> <path stroke="#ffc4c6" d="M16 17h2M32 17h2M16 18h1M33 18h1" /> <path stroke="#ccc158" d="M19 23h1M21 23h1M29 23h1M31 23h1M19 24h3M29 24h3" /> <path stroke="#ffffff" d="M20 23h1M30 23h1M23 25h1M27 25h1M22 26h3M26 26h3M21 27h4M26 27h4M22 28h2M27 28h2M21 31h8M20 32h10M21 33h8M22 34h6M23 35h4M19 38h1M21 38h1M28 38h1M30 38h1" /> <path stroke="#ffb0b2" d="M18 25h1M32 25h1M18 26h2M31 26h2" /> <path stroke="#a2$9943" d="M19 25h3M29 25h3" /> text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #010</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>White</meow:Skin> <meow:Eyes>Smiling</meow:Eyes> <meow:Gear>Irish Shamrock Beanie, pot of digital gold and pure luck</meow:Gear> <meow:Message>Aye</meow:Message> <path stroke="#b3ff8f" d="M0 0hM 50M0 1h50M0 2h50M0 3h50M0 4h4M6 4h3M11 4h39M0 5h4M7 5h1M11 5h39M0 6h2M7 6h1M13 6h37M0 7h2M7 7h1M13 7h37M0 8h3M12 8h9M30 8h20M0 9h6M9 9h11M31 9h19M0 10h3M12 10h8M31 10h19M0 11h2M13 11h7M31 11h19M0 12h2M13 12h7M31 12h19M0 13h4M11 13h9M31 13h19M0 14h4M6 14h1M8 14h1M11 14h9M31 14h19M0 15h7M9 15h11M31 15h19M0 16h8M10 16h7M34 16h16M0 17h9M12 17h2M37 17h13M0 18h14M37 18h13M0 19h14M37 19h13M0 20h14M37 20h13M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h5M M42 27h8M0 28h16M35 28h3M39 28h1M43 28h7M0 29h16M35 29h2M43 29h7M0 30h17M34 30h2M44 30h6M0 31h19M32 31h3M44 31h6M0 32h20M31 32h4M44 32h6M0 33h19M32 33h4M43 33h7M0 34h19M32 34h3M44 34h6M0 35h18M33 35h2M44 35h6M0 36h17M33 36h2M44 36h6M0 37h16M34 37h1M44 37h6M0 38h17M34 38h1M44 38h2M48 38h2M0 39h20M49 39h1M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#023a00" d="M4 4h2M9 4h2M4 5h3M8 5h3M2 6h3M6 6h1M8 6h5M2 7h3M6 7h1M8 7h1M11 7h2M3 8h3M7 8h1M9 8h3M6 9h1M8 9h1M3 10h3M M7 10h1M9 10h3M2 11h2M6 11h1M8 11h1M10 11h3M2 12h5M8 12h1M10 12h3M4 13h3M8 13h3M4 14h2M9 14h2" /> <path stroke="#40a500" d="M5 6h1M5 7h1M9 7h2M6 8h1M8 8h1M7 9h1M6 10h1M8 10h1M4 11h2M7 11h1M9 11h1M7 12h1M9 12h1M7 13h1M7 14h1M7 15h2M8 16h2M9 17h3" /> <path stroke="#000000" d="M21 8h9M20 9h1M30 9h1M20 10h1M30 10h1M20 11h1M30 11h1M20 12h1M30 12h1M20 13h1M30 13h1M20 14h1M30 14h1M20 15h1M30 15h1M17 16h4M30 16h4M14 17h4M33 17h4M14 18h1M17 18h17M36 18h1M14 19h1M18 19h1M32 19h1M36 19h1M14 20h1M17 20h1M33 20h1M36 20h1M15 2M 1h2M34 21h2M16 22h1M34 22h1M15 23h1M35 23h1M15 24h1M20 24h2M29 24h2M35 24h1M15 25h1M19 25h1M22 25h1M25 25h1M28 25h1M31 25h1M35 25h1M15 26h1M24 26h1M26 26h1M35 26h1M15 27h1M35 27h1M16 28h1M34 28h1M16 29h1M34 29h1M17 30h2M32 30h2M19 31h2M30 31h2M35 31h6M43 31h1M20 32h1M30 32h1M35 32h6M42 32h2M19 33h1M31 33h1M36 33h7M19 34h1M31 34h1M35 34h6M42 34h2M18 35h1M32 35h1M35 35h5M43 35h1M17 36h2M32 36h1M35 36h5M43 36h1M16 37h1M18 37h1M32 37h1M35 37h5M42 37h2M17 38h3M21 38h1M23 38h1M29 38h1M31 38h1M36 38h4M41 38h2M20 39h7M30 3M <path stroke="#00c200" d="M21 9h2M25 9h3M21 10h2M25 10h3M21 11h2M25 11h3M21 12h2M25 12h3M21 13h2M25 13h3M21 14h1M26 14h2M18 17h5M25 17h3" /> <path stroke="#00d300" d="M23 9h2M23 10h2M23 11h2M23 12h2M23 13h2M23 17h2" /> <path stroke="#00ad00" d="M28 9h2M28 10h2M28 11h2M28 12h2M28 13h2M28 14h2M28 17h5" /> <path stroke="#ffdf66" d="M22 14h3M22 15h1" /> <path stroke="#ffbf4f" d="M25 14h1M25 15h1M22 16h4" /> <path stroke="#6c4409" d="M21 15h1M23 15h2M26 15h4M21 16h1M26 16h4" /> <path stroke="#ffffM ff" d="M15 18h2M34 18h2M15 19h1M19 19h13M35 19h1M15 20h1M18 20h15M35 20h1M17 21h17M17 22h17M16 23h19M16 24h4M22 24h7M31 24h4M16 25h3M20 25h2M23 25h2M26 25h2M29 25h2M32 25h3M16 26h2M20 26h4M25 26h1M27 26h4M33 26h2M16 27h19M17 28h17M17 29h17M19 30h13M21 31h9M21 32h9M20 33h11M20 34h11M19 35h13M19 36h13M17 37h1M19 37h13M20 38h1M22 38h1M24 38h3M30 38h1" /> <path stroke="#ffd2c7" d="M16 19h2M33 19h2M16 20h1M34 20h1" /> <path stroke="#ffbaa9" d="M18 26h2M31 26h2" /> <path stroke="#fff000" d="M41 27h1M42 28h1M38 29h1M42M 29h1M37 30h2M40 30h2M33 37h1M28 38h1M43 38h1M47 38h1M29 39h1M31 39h2M43 39h1M45 39h1M48 39h1" /> <path stroke="#ffd300" d="M38 28h1M39 29h1M41 29h1M36 30h1M32 38h2" /> <path stroke="#ffbb12" d="M40 28h2M37 29h1M40 29h1M39 30h1M42 30h2M27 38h1M35 38h1M46 38h1M27 39h2M33 39h4M42 39h1M44 39h1M46 39h2" /> <path stroke="#d4d4d4" d="M41 31h2M41 32h1M41 34h1" /> <path stroke="#2b2b2b" d="M40 35h1M40 36h1M42 36h1M40 37h2M40 38h1" /> <path stroke="#5d5d5d" d="M41 35h2M41 36h1" /> text/plain;charset=utf-8 text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #058</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>White (Shiny)</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>Spacesuit</meow:Gear> <meow:Message>To the moon</meow:Message> <path stroke="#343b5a" d="M0 0h50M0 1h50M0 2h43M46 2h4M0 3h42M43 M 3h3M47 3h3M0 4h5M6 4h35M44 4h3M48 4h2M0 5h34M35 5h6M44 5h3M48 5h2M0 6h15M16 6h25M45 6h2M48 6h2M0 7h42M47 7h3M0 8h8M9 8h34M46 8h4M0 9h7M10 9h10M31 9h19M0 10h8M9 10h9M33 10h17M0 11h15M36 11h14M0 12h14M37 12h13M0 13h13M38 13h12M0 14h13M38 14h12M0 15h12M39 15h11M0 16h12M39 16h11M0 17h12M39 17h11M0 18h12M39 18h11M0 19h11M40 19h10M0 20h9M10 20h1M40 20h5M46 20h4M0 21h11M40 21h4M47 21h3M0 22h11M40 22h5M46 22h4M0 23h3M4 23h7M40 23h10M0 24h4M5 24h1M7 24h4M40 24h10M0 25h5M6 25h6M39 25h11M0 26h4M5 26h1M7 26h5M39 26h11M0 27h7M8M 27h4M39 27h7M47 27h3M0 28h13M38 28h12M0 29h14M37 29h13M0 30h16M35 30h15M0 31h12M14 31h2M35 31h15M0 32h11M15 32h1M35 32h8M44 32h6M0 33h11M36 33h14M0 34h12M36 34h14M0 35h13M36 35h14M0 36h5M6 36h8M36 36h13M0 37h15M35 37h13M49 37h1M0 38h16M34 38h16M0 39h14M35 39h15M0 40h12M37 40h13M0 41h11M38 41h12M0 42h10M39 42h11M0 43h9M40 43h10M0 44h8M41 44h9M0 45h8M42 45h8M0 46h7M42 46h8M0 47h7M43 47h7M0 48h6M43 48h7M0 49h6M43 49h7" /> <path stroke="#969aaa" d="M43 2h3M42 3h1M46 3h1M5 4h1M41 4h3M47 4h1M34 5h1M41 5h3M47 5h1M41 6h4M M47 6h1M42 7h5M43 8h3M9 20h1M45 20h1M44 21h3M45 22h1M43 32h1" /> <path stroke="#fff5ce" d="M15 6h1M8 8h1M7 9h3M8 10h1M3 23h1M4 24h1M6 24h1M5 25h1M4 26h1M6 26h1M7 27h1M46 27h1M5 36h1M49 36h1M48 37h1" /> <path stroke="#000000" d="M20 9h11M18 10h2M31 10h2M15 11h3M33 11h3M14 12h1M36 12h1M13 13h1M18 13h15M37 13h1M13 14h1M17 14h1M33 14h1M37 14h1M12 15h1M16 15h1M34 15h1M38 15h1M12 16h1M15 16h1M35 16h1M38 16h1M12 17h1M15 17h1M35 17h1M38 17h1M12 18h1M15 18h1M35 18h1M38 18h1M11 19h1M15 19h1M35 19h1M39 19h1M11 20h1M14 20h1MM 36 20h1M39 20h1M11 21h1M14 21h1M36 21h1M39 21h1M11 22h1M14 22h1M36 22h1M39 22h1M11 23h1M15 23h1M35 23h1M39 23h1M11 24h1M15 24h1M35 24h1M39 24h1M12 25h1M15 25h1M35 25h1M38 25h1M12 26h1M15 26h1M35 26h1M38 26h1M12 27h1M16 27h1M34 27h1M38 27h1M13 28h1M17 28h1M33 28h1M37 28h1M14 29h2M18 29h15M35 29h2M16 30h1M34 30h1M12 31h2M16 31h19M11 32h1M14 32h1M16 32h1M28 32h1M30 32h1M34 32h1M11 33h1M14 33h2M27 33h1M29 33h1M31 33h1M35 33h1M12 34h1M15 34h1M27 34h1M29 34h1M31 34h1M35 34h1M13 35h1M15 35h1M27 35h1M29 35h1M31 35h1M35 35hM 1M14 36h2M28 36h1M30 36h1M35 36h1M15 37h2M34 37h1M16 38h3M22 38h1M24 38h1M26 38h1M28 38h1M32 38h2M19 39h13" /> <path stroke="#ffffff" d="M20 10h3M18 11h3M15 12h5M14 13h4M14 14h1M13 15h2M13 16h2M13 17h2M13 18h1M12 19h2M12 20h2M12 21h2M12 22h2M12 23h2M12 24h2M13 25h1M13 26h2M13 27h2M14 28h2M16 29h2M17 30h3M17 32h5M17 33h7M17 34h9M17 35h8M17 36h8M19 37h5M21 38h1M18 41h1M16 42h5M15 43h4M14 44h3M14 45h1M10 46h1M13 46h1M17 46h1M17 47h1M15 48h3M11 49h7" /> <path stroke="#dcdcdc" d="M23 10h5M21 11h6M20 12h5M15 14h2M15 15M h1M14 18h1M14 19h1M14 23h1M14 24h1M14 25h1M15 27h1M16 28h1M20 30h7M22 32h3M16 33h1M24 33h3M16 34h1M26 34h1M16 35h1M25 35h2M16 36h1M25 36h3M29 36h1M17 37h2M24 37h6M19 38h2M23 38h1M25 38h1M27 38h1" /> <path stroke="#bababa" d="M28 10h3M27 11h6M25 12h9M33 13h3M34 14h3M35 15h2M36 16h1M36 17h2M36 18h2M36 19h2M37 20h2M37 21h2M37 22h1M37 23h1M36 24h2M36 25h2M36 26h2M35 27h3M34 28h3M33 29h2M27 30h7M25 32h3M29 32h1M32 33h1M32 34h2M32 35h2M31 36h2M30 37h3M29 38h1" /> <path stroke="#8f8f8f" d="M34 12h2M36 13h1M37 15h1M37 16M h1M38 19h1M38 22h1M36 23h1M38 23h1M38 24h1M31 32h3M33 33h2M34 34h1M34 35h1M33 36h2M33 37h1M30 38h2" /> <path stroke="#d0f7ff" d="M18 14h8M19 15h7M21 16h5M15 22h1" /> <path stroke="#b0f3ff" d="M26 14h7M26 15h6M26 16h4M35 22h1" /> <path stroke="#527a82" d="M17 15h2M19 16h2M21 17h5M19 18h2M15 20h1M17 20h1M15 21h2M16 22h1M19 22h3M18 23h1M22 23h1M24 26h1" /> <path stroke="#2c7683" d="M32 15h2M30 16h2M26 17h4M30 18h2M32 19h1M33 20h1M35 20h1M34 21h2M29 22h3M34 22h1M28 23h1M32 23h1M25 25h1M25 26h2" /> 1e0dd" d="M16 16h3M16 17h1M20 17h1M16 18h1M21 18h3M25 18h1M16 19h1M19 19h4M24 19h1M16 20h1M19 20h3M23 20h3M17 21h1M19 21h6M17 22h1M22 22h3M16 23h2M23 23h2M17 24h1M22 24h1M16 25h3M22 25h2M17 26h1M20 26h4M17 27h8M18 28h7" /> <path stroke="#a1dcde" d="M32 16h3M30 17h1M34 17h1M27 18h3M34 18h1M26 19h1M28 19h4M34 19h1M26 20h2M29 20h4M34 20h1M25 21h9M25 22h4M32 22h2M25 23h3M33 23h2M28 24h1M32 24h2M27 25h2M32 25h3M27 26h4M33 26h1M26 27h8M25 28h8" /> <path stroke="#d7e0e2" d="M17 17h3M17 18h1M17 19h1" /> 8dce3" d="M31 17h3M32 18h2M33 19h1" /> <path stroke="#ffe6e1" d="M18 18h1" /> <path stroke="#7d988d" d="M24 18h1M23 19h1M25 19h1M22 20h1M16 24h1M16 26h1" /> <path stroke="#5b938e" d="M26 18h1M27 19h1M28 20h1M34 24h1M34 26h1" /> <path stroke="#818181" d="M18 19h1" /> <path stroke="#eee7dc" d="M18 20h1M18 21h1M18 22h1M18 24h1" /> <path stroke="#6fdaf1" d="M19 23h1M21 23h1M19 24h3" /> <path stroke="#d1f9ff" d="M20 23h1" /> <path stroke="#41d5f2" d="M29 23h1M31 23h1M29 24h3" /> <path stroke="#b1f4ff" d="M30 23M <path stroke="#adbba1" d="M23 24h2M24 25h1" /> <path stroke="#8db7a2" d="M25 24h3M26 25h1M25 27h1" /> <path stroke="#65c7dd" d="M19 25h3" /> <path stroke="#36c3dd" d="M29 25h3" /> <path stroke="#dad5d5" d="M18 26h2" /> <path stroke="#bbd1d6" d="M31 26h2" /> <path stroke="#523a14" d="M12 32h2M12 33h2M13 34h1" /> <path stroke="#ffe1e1" d="M28 33h1M30 35h1" /> <path stroke="#d1454a" d="M30 33h1M28 34h1" /> <path stroke="#decdb8" d="M14 34h1M14 35h1" /> <path stroke="#d7b9f4" d="M30 34h1M28 35h1" /> <path stroke="#262626" d="M14 39h2M33 39h2M12 40h2M34 40h3M11 41h1M36 41h2M10 42h1M37 42h2M9 43h1M34 43h1M38 43h2M8 44h1M25 44h3M33 44h1M35 44h1M39 44h2M8 45h1M13 45h1M24 45h1M28 45h1M33 45h1M35 45h1M40 45h2M7 46h1M12 46h1M14 46h1M24 46h1M28 46h1M34 46h1M41 46h1M7 47h1M12 47h1M14 47h1M25 47h3M41 47h2M6 48h1M13 48h1M42 48h1M6 49h1M18 49h3M42 49h1" /> <path stroke="#87929c" d="M16 39h3M32 39h1M14 40h3M12 41h6M11 42h5M21 42h7M33 42h1M10 43h5M19 43h8M31 43h1M9 44h5M17 44h8M31 44h1M9 45h4M15 45h9M27 45h1M8 46h2M11 46h1M M15 46h2M18 46h6M35 46h1M8 47h4M13 47h1M15 47h2M18 47h5M7 48h6M14 48h1M18 48h5M39 48h1M7 49h4M21 49h2M30 49h3M39 49h1" /> <path stroke="#3e4042" d="M17 40h2M26 40h6M23 41h7" /> <path stroke="#5a5a5a" d="M19 40h7M19 41h4" /> <path stroke="#333333" d="M32 40h2M30 41h2" /> <path stroke="#5c5c5c" d="M32 41h4M28 42h5M34 42h3M27 43h4M32 43h2M35 43h3M28 44h3M32 44h1M34 44h1M36 44h3M25 45h2M29 45h4M34 45h1M36 45h4M25 46h3M29 46h5M36 46h5M23 47h2M28 47h13M23 48h16M40 48h2M23 49h7M33 49h6M40 49h2" /> text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #007</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Grey</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meeeeooowwwwww</meow:Message> <path stroke="#6cffa6" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50MM 0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h16M19 15h13M35 15h15M0 16h15M21 16h9M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h16M38 28h12M0 29h16M38 29h12M0 30h17M38 30h12M0 31h16M37 31h13M0 32h16M36 32h14M0 33h15M36 33h14M0 34h15M36 34h14M0 35h13M36 35h14M0 36h13M36 36h14M0 37h13M35 37h15M0 38h17M34 38h16M0 39h19M32 39h18M0 40h50M0 41h50M0M 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 15h3M32 15h3M15 16h1M19 16h2M30 16h2M35 16h1M15 17h1M21 17h9M35 17h1M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M18 19h1M32 19h1M35 19h1M15 20h1M17 20h1M33 20h1M35 20h1M15 21h2M34 21h2M16 22h1M34 22h1M15 23h1M20 23h2M29 23h1M35 23h1M15 24h1M20 24h2M28 24h1M30 24h1M35 24h1M15 25h1M35 25h1M15 26h1M24 26h1M26 26h1M35 26h1M15 27h1M25 27h1M35 27h1M16 28h1M34 28h4M16 29h1M34 29h1M37 29h1M17 30h2M32 30h2M37 30h1M16 31h1M19 31h2M3M 0 31h2M36 31h1M16 32h1M24 32h3M35 32h1M15 33h1M34 33h2M15 34h1M35 34h1M13 35h3M35 35h1M13 36h1M15 36h1M35 36h1M13 37h4M34 37h1M17 38h2M22 38h1M24 38h1M26 38h1M28 38h1M32 38h2M19 39h13" /> <path stroke="#707070" d="M16 16h3M32 16h3M16 17h1M20 17h1M30 17h1M34 17h1M16 18h1M21 18h9M34 18h1M16 19h1M19 19h13M34 19h1M16 20h1M18 20h15M34 20h1M17 21h17M17 22h3M22 22h12M16 23h3M23 23h6M30 23h5M17 24h2M23 24h5M29 24h1M31 24h3M16 25h4M22 25h13M17 26h1M20 26h4M27 26h4M33 26h1M16 27h9M26 27h9M17 28h17M17 29h17M35 29h2M19 30h13MM 34 30h3M17 31h2M21 31h9M32 31h4M17 32h7M27 32h8M16 33h18M18 34h15M16 35h19M14 36h1M19 36h13M17 37h17M19 38h3M23 38h1M25 38h1M27 38h1M29 38h3" /> <path stroke="#f5b3a5" d="M17 17h3M31 17h3M17 18h2M32 18h2M17 19h1M33 19h1M25 26h1" /> <path stroke="#b3d57f" d="M20 22h2M19 23h1M22 23h1M19 24h1M22 24h1M20 25h2" /> <path stroke="#363636" d="M16 24h1M34 24h1M16 26h1M34 26h1M16 34h2M33 34h2M16 36h3M32 36h3" /> <path stroke="#e79e8e" d="M18 26h2M31 26h2" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #068</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Black (Shiny)</meow:Skin> <meow:Eyes>Closed</meow:Eyes> <meow:Gear>God of Wealth</meow:Gear> <meow:Message>Don't bitch, get rich</meow:Message> <path stroke="#750003" d="M0 0h25M28 0h22M0 1h26MM 27 1h23M0 2h50M0 3h5M8 3h42M0 4h4M9 4h41M0 5h3M10 5h40M0 6h3M10 6h26M39 6h11M0 7h3M10 7h26M37 7h1M39 7h8M0 8h4M9 8h7M17 8h19M39 8h7M0 9h5M8 9h7M18 9h27M0 10h16M17 10h28M0 11h45M0 12h46M0 13h16M19 13h13M35 13h12M0 14h7M12 14h3M21 14h9M36 14h3M44 14h6M0 15h7M12 15h3M36 15h3M44 15h6M0 16h7M9 16h1M12 16h3M36 16h3M41 16h1M44 16h6M0 17h7M13 17h2M36 17h2M44 17h6M0 18h7M44 18h6M0 19h10M41 19h9M0 20h12M39 20h11M0 21h15M36 21h14M0 22h15M36 22h4M42 22h8M0 23h15M36 23h3M43 23h7M0 24h6M7 24h8M36 24h2M44 24h6M0 25h5M8 25h7M36 25M h1M45 25h5M0 26h6M7 26h8M36 26h1M45 26h5M0 27h15M36 27h2M44 27h6M0 28h16M35 28h2M43 28h7M0 29h16M35 29h1M40 29h10M0 30h17M34 30h1M40 30h3M44 30h6M0 31h16M39 31h3M45 31h5M0 32h11M12 32h4M38 32h5M44 32h6M2 33h8M13 33h2M37 33h13M0 34h1M2 34h8M36 34h14M2 35h9M36 35h14M0 36h12M36 36h14M0 37h14M35 37h15M0 38h17M34 38h16M0 39h16M35 39h15M0 40h17M34 40h16M0 41h19M32 41h18M0 42h11M12 42h38M0 43h10M11 43h1M13 43h32M48 43h2M0 44h11M12 44h32M49 44h1M0 45h43M0 46h29M32 46h11M0 47h29M30 47h1M32 47h11M1 48h28M32 48h12M49 48h1M2 4M <path stroke="#ffd500" d="M25 0h3M26 1h1M36 6h3M36 7h1M38 7h1M36 8h3M6 24h1M5 25h3M6 26h1M29 46h3M29 47h1M31 47h1M0 48h1M29 48h3M0 49h2" /> <path stroke="#ffd710" d="M5 3h3M5 4h2M4 5h1M4 6h1M47 7h3M8 8h1M48 8h2M46 12h1M45 43h3M45 44h2M44 45h1M44 46h1M48 48h1" /> <path stroke="#efaa00" d="M4 4h1M5 5h3M5 6h3M5 7h3M47 9h3M47 10h3M47 11h3M44 44h1M45 45h3M45 46h3M45 47h3" /> <path stroke="#ffffff" d="M7 4h1M8 5h1M47 8h1M46 9h1M47 44h1M48 45h1" /> <path stroke="#ffda34" d="M8 4h1M9 5h1M9 6h1M9 7h1M4M 6 8h1M45 9h1M45 10h1M45 11h1M48 44h1M49 45h1M49 46h1M49 47h1" /> <path stroke="#af7222" d="M3 5h1M3 6h1M8 6h1M3 7h2M8 7h1M4 8h4M5 9h3M46 10h1M46 11h1M47 12h3M47 13h3M43 45h1M43 46h1M48 46h1M43 47h2M48 47h1M44 48h4M45 49h3" /> <path stroke="#ffde4d" d="M16 8h1M15 9h3M16 10h1M43 30h1M42 31h3M43 32h1M0 33h2M1 34h1M0 35h2M11 42h1M10 43h1M12 43h1M11 44h1" /> <path stroke="#000000" d="M16 13h3M32 13h3M7 14h5M15 14h1M19 14h2M30 14h2M35 14h1M39 14h5M7 15h1M11 15h1M15 15h1M20 15h11M35 15h1M39 15h1M43 15h1M7 16h1M11 16h1MM 15 16h1M18 16h2M31 16h2M35 16h1M39 16h1M43 16h1M7 17h1M11 17h2M15 17h1M17 17h1M23 17h5M33 17h1M35 17h1M38 17h2M43 17h1M7 18h3M13 18h4M23 18h1M27 18h1M34 18h4M41 18h3M10 19h2M16 19h1M23 19h1M27 19h1M34 19h1M39 19h2M12 20h27M15 21h1M35 21h1M15 22h1M17 22h17M35 22h1M40 22h2M15 23h2M34 23h2M39 23h1M42 23h1M15 24h1M20 24h3M28 24h3M35 24h1M38 24h1M43 24h1M15 25h1M25 25h1M35 25h1M37 25h8M15 26h1M24 26h3M35 26h1M37 26h1M44 26h1M15 27h1M35 27h1M38 27h1M43 27h1M16 28h1M34 28h1M37 28h6M16 29h1M34 29h1M36 29h1M39 29h1M17 30h2MM 32 30h2M35 30h1M37 30h1M39 30h1M16 31h1M19 31h2M30 31h2M34 31h1M38 31h1M11 32h1M16 32h1M24 32h3M37 32h1M10 33h1M12 33h1M15 33h1M36 33h1M10 34h1M13 34h3M35 34h1M11 35h1M15 35h1M35 35h1M12 36h2M15 36h1M35 36h1M14 37h3M34 37h1M17 38h2M22 38h1M24 38h1M26 38h1M28 38h1M32 38h2M19 39h13" /> <path stroke="#2c2c2c" d="M16 14h3M32 14h3M16 15h1M34 15h1M16 16h1M34 16h1M16 17h1M34 17h1M17 23h17M16 24h4M23 24h5M31 24h4M16 25h9M26 25h9M16 26h2M20 26h2M29 26h2M33 26h2M16 27h6M23 27h5M29 27h6M17 28h5M23 28h1M27 28h1M29 28h5M17 29hM 5M23 29h2M26 29h2M29 29h5M37 29h2M19 30h6M26 30h6M38 30h1M21 31h9M11 33h1M11 34h2M12 35h3M14 36h1M19 38h3M23 38h1M25 38h1M27 38h1M29 38h3" /> <path stroke="#fac700" d="M8 15h3M40 15h3M8 16h1M10 16h1M40 16h1M42 16h1M8 17h3M40 17h3M10 18h3M24 18h3M38 18h3M12 19h4M24 19h1M26 19h1M35 19h4M16 21h12M16 22h1M40 24h3M38 26h6M39 27h1M36 30h1M35 31h3M36 32h1M16 35h8M27 35h3M16 36h8M27 36h3" /> <path stroke="#f5b3a5" d="M17 15h3M31 15h3M17 16h1M33 16h1" /> <path stroke="#e80522" d="M20 16h1M18 17h3M17 18h3M17 19h3M17 31h2MM 17 32h2M16 33h2M16 34h2M17 37h2" /> <path stroke="#d20005" d="M21 16h7M21 17h2M28 17h1M20 18h3M28 18h2M20 19h3M25 19h1M28 19h3M19 32h5M27 32h2M18 33h13M18 34h13M19 37h11" /> <path stroke="#b40008" d="M28 16h3M29 17h4M30 18h4M31 19h3M32 31h2M29 32h7M31 33h5M31 34h4M30 37h4" /> <path stroke="#edbb00" d="M28 21h7M34 22h1M30 35h5M30 36h5" /> <path stroke="#ffda3a" d="M40 23h1M39 24h1" /> <path stroke="#ffeba3" d="M41 23h1" /> <path stroke="#e79e8e" d="M18 26h2M31 26h2" /> <path stroke="#1b1007" d="M22 26h2M27 26L h2M22 27h1M28 27h1M22 28h1M24 28h3M28 28h1M22 29h1M25 29h1M28 29h1M25 30h1" /> <path stroke="#deac00" d="M40 27h3" /> <path stroke="#47ac43" d="M24 35h3M24 36h3" /> <path stroke="#3e0104" d="M16 39h3M32 39h3M17 40h17M19 41h13" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #015</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>White</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>Monocle</meow:Gear> <meow:Message>A touch of quantitative easing to keep the economy running smoothly makes me purrrrr while the printer brrrrr</meow:Message> <path stroke="#785d8c" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h50M0 16h50M0 17h14M20 17h1M30 17h1M37 17h13M0 18h14M37 18h13M0 19h14M37 19h13M0 20h14M37 20h13M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h14M37 26h13M0 27h15M36 27h14M0 28h14M37 28h13M0 29h15M36 29h14M0 30h16M35 30h15M0 31h19M33 31h1M35 31h15M0 32h20M31 32h2M34 32h16M0 33h19M32 33h18M0 34h19M32 34h18M0 35h1M 8M33 35h17M0 36h17M33 36h17M0 37h16M33 37h17M0 38h17M32 38h18M0 39h20M31 39h19M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M14 17h6M21 17h9M31 17h6M14 18h1M19 18h2M30 18h2M36 18h1M14 19h1M18 19h1M32 19h1M36 19h1M14 20h1M17 20h1M33 20h1M36 20h1M15 21h2M34 21h2M16 22h1M34 22h1M15 23h1M20 23h2M35 23h1M15 24h1M20 24h2M35 24h1M15 25h1M25 25h1M35 25h1M14 26h1M24 26h1M26 26h1M36 26h1M15 27h1M35 27h1M14 28h1M36 28h1M15 29h1M35 29h1M16 30h3M32 30h2M19 31h2M3M 0 31h2M20 32h1M30 32h1M19 33h1M31 33h1M19 34h1M31 34h1M18 35h1M32 35h1M17 36h2M32 36h1M16 37h1M18 37h1M32 37h1M17 38h3M21 38h1M23 38h1M27 38h1M29 38h1M31 38h1M20 39h11" /> <path stroke="#ffffff" d="M15 18h4M21 18h9M32 18h4M15 19h1M19 19h13M35 19h1M15 20h1M18 20h15M35 20h1M17 21h12M32 21h2M17 22h3M22 22h6M30 22h2M33 22h1M16 23h3M23 23h4M31 23h1M34 23h1M16 24h3M23 24h4M34 24h1M16 25h4M22 25h3M26 25h2M31 25h1M33 25h2M15 26h3M20 26h4M25 26h1M27 26h2M34 26h2M16 27h18M15 28h19M35 28h1M16 29h18M19 30h13M21 31h9M21 32h9M2M 0 33h11M20 34h11M19 35h13M19 36h13M17 37h1M19 37h13M20 38h1M22 38h1M24 38h3M28 38h1M30 38h1" /> <path stroke="#ffa69b" d="M16 19h2M33 19h2M16 20h1M34 20h1" /> <path stroke="#ffdd00" d="M29 21h2M28 22h1M27 23h1M27 24h1M28 25h1M29 26h3M33 26h1M34 27h1M34 28h1M34 29h1M34 30h1M32 31h1M34 31h1M33 32h1" /> <path stroke="#ffcb34" d="M31 21h1M32 22h1M33 23h1M33 24h1M32 25h1" /> <path stroke="#3dd587" d="M20 22h2M19 23h1M22 23h1M19 24h1M22 24h1M20 25h2" /> <path stroke="#e4fffd" d="M29 22h1M28 23h2M32 23h1M28 24h1M30 2L 4h1M32 24h1M29 25h2" /> <path stroke="#2a4846" d="M30 23h1M29 24h1M31 24h1" /> <path stroke="#ffbaa9" d="M18 26h2M32 26h1" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #055</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Grey, White</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meow</meow:Message> <path stroke="#ff9b9e" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 7M h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h14M19 14h12M36 14h14M0 15h14M20 15h10M36 15h14M0 16h14M36 16h14M0 17h14M36 17h14M0 18h14M36 18h14M0 19h14M36 19h14M0 20h15M35 20h15M0 21h15M35 21h15M0 22h14M36 22h14M0 23h14M36 23h14M0 24h13M37 24h13M0 25h12M38 25h12M0 26h13M37 26h13M0 27h12M38 27h12M0 28h13M37 28h13M0 29h14M36 29h14M0 30h15M35 30h15M0 31h11M12 31h5M33 31h17M0 32h10M13 32h6M31 32h19M0 33h10M15 33h3M32 33h18M0 34h10M16 34h2M32 34h18M0 35h11M33 35h17M0 36h12M33 36h17M0 37h15M33 37h17M0 38h17M32 3M 8h18M0 39h19M31 39h19M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M14 14h5M31 14h5M14 15h1M19 15h1M30 15h1M35 15h1M14 16h1M20 16h10M35 16h1M14 17h1M18 17h2M30 17h2M35 17h1M14 18h1M17 18h1M32 18h1M35 18h1M14 19h1M16 19h1M33 19h1M35 19h1M15 20h1M34 20h1M15 21h1M34 21h1M14 22h1M19 22h3M29 22h3M35 22h1M14 23h1M18 23h1M22 23h1M28 23h1M32 23h1M35 23h1M13 24h1M36 24h1M12 25h1M24 25h1M26 25h1M37 25h1M13 26h1M25 26h1M36 26h1M12 27h1M37 27h1M13 28h1M36 28h1M1M 4 29h1M35 29h1M15 30h2M33 30h2M11 31h1M17 31h3M30 31h3M10 32h1M12 32h1M19 32h1M30 32h1M10 33h1M13 33h2M18 33h1M31 33h1M10 34h1M15 34h1M18 34h1M31 34h1M11 35h1M16 35h2M32 35h1M12 36h3M17 36h1M32 36h1M15 37h3M32 37h1M17 38h2M20 38h1M22 38h1M27 38h1M29 38h1M31 38h1M19 39h12" /> <path stroke="#8f8f8f" d="M15 15h4M31 15h4M15 16h1M19 16h1M30 16h1M34 16h1M15 17h1M34 17h1M15 18h1M34 18h1M15 19h1M34 19h1" /> <path stroke="#ffc4c6" d="M16 16h3M31 16h3M16 17h2M32 17h2M16 18h1M33 18h1" /> <path stroke="#ffffff" d="M20 17h10M M18 18h14M17 19h4M29 19h4M16 20h3M31 20h3M16 21h1M33 21h1M15 22h1M34 22h1M15 23h1M20 23h1M30 23h1M34 23h1M14 24h2M34 24h2M13 25h3M34 25h3M14 26h2M34 26h2M13 27h4M33 27h4M14 28h5M31 28h5M15 29h5M30 29h5M17 30h16M20 31h10M20 32h10M19 33h12M14 34h1M19 34h12M13 35h3M18 35h14M15 36h2M18 36h14M18 37h14M23 38h4" /> <path stroke="#7b7b7b" d="M21 19h8M19 20h12M17 21h16M16 22h3M22 22h7M32 22h2M16 23h2M23 23h5M33 23h1M16 24h3M22 24h7M32 24h2M16 25h2M22 25h2M27 25h2M33 25h1M16 26h2M20 26h5M26 26h5M33 26h1M17 27h16M19 28h12M20M9 29h10M11 32h1M11 33h2M11 34h3M12 35h1M19 38h1M21 38h1M28 38h1M30 38h1" /> <path stroke="#7ccdda" d="M19 23h1M21 23h1M29 23h1M31 23h1M19 24h3M29 24h3" /> <path stroke="#ffb0b2" d="M18 25h1M32 25h1M18 26h2M31 26h2" /> <path stroke="#61b2c0" d="M19 25h3M29 25h3" /> <path stroke="#ffb790" d="M25 25h1" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #027</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Black, White</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>Bitcoin</meow:Gear> <meow:Message>The Bitcoin Pussy</meow:Message> <path stroke="#ff8200" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50MM 0 5h50M0 6h50M0 7h50M0 8h50M0 9h23M29 9h21M0 10h22M30 10h20M0 11h21M31 11h19M0 12h20M32 12h18M0 13h20M32 13h18M0 14h20M32 14h18M0 15h20M32 15h18M0 16h20M32 16h18M0 17h18M33 17h17M0 18h17M34 18h16M0 19h15M36 19h14M0 20h14M37 20h13M0 21h13M38 21h12M0 22h14M37 22h13M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h14M37 26h13M0 27h13M38 27h12M0 28h14M37 28h13M0 29h14M37 29h13M0 30h15M36 30h14M0 31h16M35 31h15M0 32h18M33 32h17M0 33h20M31 33h19M0 34h19M32 34h18M0 35h13M15 35h4M32 35h18M0 36h13M16 36h2M33 36h17M0 M 37h13M33 37h17M0 38h14M33 38h17M0 39h15M32 39h18M0 40h20M31 40h19M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M23 9h6M22 10h1M29 10h1M21 11h1M30 11h1M20 12h1M31 12h1M20 13h1M31 13h1M20 14h1M31 14h1M20 15h1M31 15h1M20 16h1M31 16h1M18 17h4M30 17h3M17 18h1M22 18h1M29 18h1M33 18h1M15 19h2M23 19h6M34 19h2M14 20h1M36 20h1M13 21h1M17 21h1M33 21h1M37 21h1M14 22h3M29 22h3M34 22h3M15 23h1M20 23h2M28 23h1M32 23h1M35 23h1M15 24h1M19 24h1M22 24h1M35 24h1M15 25h1M25 25h1M M35 25h1M14 26h1M24 26h3M36 26h1M13 27h1M37 27h1M14 28h1M36 28h1M14 29h1M36 29h1M15 30h1M35 30h1M16 31h2M33 31h2M18 32h3M30 32h3M20 33h1M30 33h1M19 34h1M31 34h1M13 35h2M19 35h1M31 35h1M13 36h1M15 36h1M18 36h1M32 36h1M13 37h1M16 37h3M32 37h1M14 38h1M18 38h1M32 38h1M15 39h5M21 39h1M23 39h1M27 39h1M29 39h1M31 39h1M20 40h11" /> <path stroke="#ffe12c" d="M23 10h6M22 11h1M21 12h1M21 13h1M21 14h1M21 15h1M21 16h1M22 17h1" /> <path stroke="#f7cb0d" d="M23 11h1M25 11h1M27 11h2M22 12h1M28 12h2M22 13h2M25 13h3M29 13h1M22 14hM 2M28 14h2M22 15h2M25 15h3M29 15h1M22 16h1M28 16h2M23 17h1M25 17h1M27 17h2" /> <path stroke="#b47500" d="M24 11h1M26 11h1M23 12h5M24 13h1M28 13h1M24 14h4M24 15h1M28 15h1M23 16h5M24 17h1M26 17h1" /> <path stroke="#dc9500" d="M29 11h1M30 12h1M30 13h1M30 14h1M30 15h1M30 16h1M29 17h1M23 18h6" /> <path stroke="#2c2c2c" d="M18 18h4M30 18h3M17 19h6M29 19h5M15 20h21M18 21h15M17 22h12M32 22h2M16 23h4M22 23h6M33 23h2M16 24h3M20 24h2M23 24h6M32 24h3M16 25h9M26 25h3M32 25h3M15 26h3M20 26h4M27 26h4M33 26h3M14 27h23M15 28h21M1M 5 29h21M16 30h19M18 31h15M21 32h9M21 33h3M27 33h3M20 34h3M28 34h3M20 35h4M27 35h4M14 36h1M19 36h6M26 36h6M14 37h2M19 37h13M15 38h3M19 38h13M24 39h3" /> <path stroke="#ffc8ca" d="M14 21h3M34 21h3" /> <path stroke="#d48c00" d="M29 23h1M31 23h1M29 24h3" /> <path stroke="#ffffff" d="M30 23h1M24 33h3M23 34h5M24 35h3M25 36h1M20 39h1M22 39h1M28 39h1M30 39h1" /> <path stroke="#f3b732" d="M29 25h3" /> <path stroke="#ffa1a4" d="M18 26h2M31 26h2" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #063</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Lightgrey, White</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meeeeooowwwwww</meow:Message> <path stroke="#ffbf3a" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 M 5h50M0 6h50M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h14M19 14h12M36 14h14M0 15h14M20 15h10M36 15h14M0 16h14M36 16h14M0 17h14M36 17h14M0 18h14M36 18h14M0 19h14M36 19h14M0 20h15M35 20h15M0 21h15M35 21h15M0 22h14M36 22h14M0 23h14M36 23h14M0 24h13M37 24h13M0 25h12M38 25h12M0 26h13M37 26h13M0 27h12M38 27h12M0 28h13M37 28h13M0 29h14M36 29h14M0 30h15M35 30h15M0 31h17M33 31h17M0 32h14M15 32h4M31 32h19M0 33h13M16 33h2M32 33h18M0 34h13M16 34h2M32 34h18M0 35h13M33 35h17M0 36h14M33 36h17M0 37h15M33 37h17M0 38hM 17M32 38h18M0 39h19M31 39h19M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M14 14h5M31 14h5M14 15h1M19 15h1M30 15h1M35 15h1M14 16h1M20 16h10M35 16h1M14 17h1M18 17h2M30 17h2M35 17h1M14 18h1M17 18h1M32 18h1M35 18h1M14 19h1M16 19h1M33 19h1M35 19h1M15 20h1M34 20h1M15 21h1M34 21h1M14 22h1M19 22h3M29 22h3M35 22h1M14 23h1M18 23h1M22 23h1M28 23h1M32 23h1M35 23h1M13 24h1M36 24h1M12 25h1M24 25h1M26 25h1M37 25h1M13 26h1M25 26h1M36 26h1M12 27h1M37 27h1M13 28h1M36M 28h1M14 29h1M35 29h1M15 30h2M33 30h2M17 31h3M30 31h3M14 32h1M19 32h1M30 32h1M13 33h1M15 33h1M18 33h1M31 33h1M13 34h1M15 34h1M18 34h1M31 34h1M13 35h1M16 35h2M32 35h1M14 36h1M17 36h1M32 36h1M15 37h3M32 37h1M17 38h2M20 38h1M22 38h1M27 38h1M29 38h1M31 38h1M19 39h12" /> <path stroke="#9a9a9a" d="M15 15h4M31 15h4M15 16h1M19 16h1M30 16h1M34 16h1M15 17h1M34 17h1M15 18h1M34 18h1M15 19h1M34 19h1M14 33h1M23 33h5M14 34h1M22 34h7M22 35h7M22 36h7M23 37h5" /> <path stroke="#ffc4c6" d="M16 16h3M31 16h3M16 17h2M32 17h2M16 18h1M3M <path stroke="#ffffff" d="M20 17h10M18 18h14M17 19h4M29 19h4M16 20h3M31 20h3M16 21h1M33 21h1M15 22h1M34 22h1M15 23h1M20 23h1M30 23h1M34 23h1M14 24h2M34 24h2M13 25h3M34 25h3M14 26h2M34 26h2M13 27h4M33 27h4M14 28h5M31 28h5M15 29h5M30 29h5M17 30h16M20 31h10M20 32h10M19 33h4M28 33h3M19 34h3M29 34h2M14 35h2M18 35h4M29 35h3M15 36h2M18 36h4M29 36h3M18 37h5M28 37h4M23 38h4" /> <path stroke="#b2b2b2" d="M21 19h8M19 20h12M17 21h16M16 22h3M22 22h7M32 22h2M16 23h2M23 23h5M33 23h1M16 24h3M22 24h7M32 24h2M16 25h2M22M 25h2M27 25h2M33 25h1M16 26h2M20 26h5M26 26h5M33 26h1M17 27h16M19 28h12M20 29h10M19 38h1M21 38h1M28 38h1M30 38h1" /> <path stroke="#7ccdda" d="M19 23h1M21 23h1M19 24h3" /> <path stroke="#ddce80" d="M29 23h1M31 23h1M29 24h3" /> <path stroke="#ffb0b2" d="M18 25h1M32 25h1M18 26h2M31 26h2" /> <path stroke="#61b2c0" d="M19 25h3" /> <path stroke="#ffb790" d="M25 25h1" /> <path stroke="#c3b25f" d="M29 25h3" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #034</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Orange</meow:Skin> <meow:Eyes>Closed</meow:Eyes> <meow:Gear>In a frog costume on a lilypad with a duck</meow:Gear> <meow:Message>Send me a bitcoin and you will get two frogcoins</meow:Message> <path stroke="#4f6499" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h11M17 4h21M42 4h8M0 5h37M42 5h8M0 6h6M16 6h20M42 6h8M0 7h39M44 7h6M0 8h39M45 8h5M0 9h39M45 9h5M0 10h39M45 10h5M0 11h38M46 11h4M0 12h20M23 12h5M31 12h19M0 13h15M24 13h3M36 13h14M0 14h14M37 14h13M0 15h14M37 15h13M0 16h14M37 16h13M0 17h14M37 17h13M0 18h14M37 18h13M0 19h14M37 19h13M0 20h4M7 20h7M37 20h13M0 21h3M11 21h3M37 21h13M0 22h2M9 22h5M37 22h13M0 23h2M9 23h5M37 23h13M0 24h2M9 24h5M37 24h13M0 25h3M8 25h6M37 25h13M0 26h4M7 26h7M37 26h5M45 26h5M0 27h14M37 27M h4M46 27h4M0 28h15M36 28h4M47 28h3M0 29h16M35 29h5M47 29h3M0 30h17M34 30h6M47 30h3M0 31h18M33 31h8M46 31h4M0 32h18M37 32h5M45 32h5M0 33h14M38 33h12M0 34h12M39 34h11M0 35h11M42 35h8M0 36h11M39 36h11M0 37h11M39 37h11M0 38h11M39 38h11M0 39h11M39 39h11M0 40h11M39 40h11M0 41h11M14 41h1M38 41h12M0 42h12M13 42h1M36 42h14M0 43h14M33 43h17M0 44h23M27 44h23M0 45h4M12 45h11M28 45h22M0 46h24M28 46h22M0 47h26M28 47h22M0 48h26M28 48h22M0 49h26M28 49h22" /> <path stroke="#687aa7" d="M11 4h6M6 6h10M38 11h8M8 21h3M39 35h3M4 45h8" M <path stroke="#ccad4c" d="M38 4h1M41 4h1M41 6h1M39 7h1" /> <path stroke="#fac100" d="M39 4h2M38 5h1M40 5h2M38 6h3M40 7h4M39 8h6M39 9h6" /> <path stroke="#e97500" d="M37 5h1M36 6h2" /> <path stroke="#000000" d="M39 5h1M15 13h4M32 13h4M14 14h1M36 14h1M14 15h1M36 15h1M14 16h1M36 16h1M14 17h1M36 17h1M14 18h1M36 18h1M14 19h1M36 19h1M19 23h3M29 23h3M21 24h2M28 24h2M22 25h1M25 25h1M28 25h1M24 26h1M26 26h1M20 32h1M30 32h1M19 33h1M31 33h1M19 34h1M31 34h1M18 35h1M32 35h1M17 36h2M32 36h1M16 37h1M18 37h1M32 37h1M17 38h3M M21 38h1M23 38h1M27 38h1M29 38h1M31 38h1M20 39h11" /> <path stroke="#887f65" d="M39 10h6" /> <path stroke="#455800" d="M20 12h3M28 12h3M19 13h1M23 13h1M27 13h1M31 13h1M19 14h1M23 14h5M31 14h1M18 15h1M32 15h1M17 16h1M33 16h1M16 17h1M34 17h1M16 18h1M34 18h1M15 19h1M19 19h13M35 19h1M14 20h1M18 20h1M32 20h1M36 20h1M14 21h1M17 21h1M33 21h1M36 21h1M14 22h1M17 22h1M33 22h1M36 22h1M14 23h1M17 23h1M33 23h1M36 23h1M14 24h1M17 24h1M33 24h1M36 24h1M14 25h1M17 25h1M33 25h1M36 25h1M14 26h1M17 26h1M33 26h1M36 26h1M14 27h1M17 27M h1M33 27h1M36 27h1M15 28h1M18 28h1M32 28h1M35 28h1M16 29h1M19 29h13M34 29h1M17 30h1M33 30h1M18 31h15" /> <path stroke="#ffffff" d="M20 13h1M22 13h1M28 13h1M30 13h1M20 14h1M28 14h1M20 15h1M28 15h1" /> <path stroke="#1f2506" d="M21 13h1M29 13h1M21 14h2M29 14h2M21 15h2M29 15h2M23 17h1M27 17h1" /> <path stroke="#f79100" d="M15 14h4M15 15h1M15 16h1M15 17h1M15 18h1M19 20h12M18 21h14M18 22h15M18 23h1M22 23h7M32 23h1M18 24h3M23 24h5M30 24h3M18 25h4M23 25h2M26 25h2M29 25h4M20 26h4M25 26h1M27 26h4M18 27h15M20 28h12M21 32hM 3M27 32h3M20 33h3M28 33h3M20 34h2M29 34h2M19 35h3M29 35h3M19 36h4M28 36h4M17 37h1M19 37h5M27 37h5M24 38h3" /> <path stroke="#d17700" d="M32 14h4M35 15h1M35 16h1M35 17h1M35 18h1M31 20h1M32 21h1M19 28h1M24 32h3M26 33h2M27 34h2M27 35h2M26 36h2M26 37h1M20 38h1M22 38h1M28 38h1M30 38h1" /> <path stroke="#ffc0b1" d="M16 15h2M33 15h2M16 16h1M34 16h1" /> <path stroke="#bfde44" d="M19 15h1M23 15h5M31 15h1M18 16h15M17 17h1M20 17h3M24 17h3M28 17h3M17 18h1M20 18h11M17 19h2M32 19h2M33 20h1M34 21h1M34 22h1M34 23h1M34 24h1M34 2M 5h1M34 26h1M33 28h1M32 29h1M20 30h12" /> <path stroke="#ffab84" d="M18 17h2M31 17h2M18 18h2M31 18h2" /> <path stroke="#a2c11b" d="M33 17h1M33 18h1M16 19h1M34 19h1M15 20h3M34 20h2M15 21h2M35 21h1M15 22h2M35 22h1M15 23h2M35 23h1M15 24h2M35 24h1M15 25h2M35 25h1M15 26h2M35 26h1M15 27h2M34 27h2M16 28h2M34 28h1M17 29h2M33 29h1M18 30h2M32 30h1" /> <path stroke="#003100" d="M4 20h3M3 21h1M7 21h1M2 22h1M8 22h1M2 23h1M8 23h1M3 24h1M7 24h1M4 25h3M42 26h3M41 27h1M45 27h1M40 28h1M46 28h1M40 29h1M46 29h1M41 30h1M45 30h1M42 31M h3M18 32h2M31 32h6M14 33h4M36 33h2M12 34h2M38 34h1M11 35h1M38 35h1M11 36h1M38 36h1M11 37h1M14 37h2M33 37h2M38 37h1M11 38h1M38 38h1M11 39h1M14 39h2M38 39h1M11 40h1M13 40h1M16 40h1M23 40h5M35 40h3M12 41h1M15 41h2M32 41h4M14 42h19" /> <path stroke="#377c00" d="M4 21h3M3 22h5M3 23h5M4 24h3M42 27h3M41 28h5M41 29h5M42 30h3M18 33h1M32 33h4M14 34h5M32 34h6M12 35h6M33 35h5M12 36h5M33 36h5M12 37h2M35 37h3M12 38h5M32 38h6M12 39h2M16 39h4M31 39h7M12 40h1M17 40h6M28 40h7M17 41h15" /> <path stroke="#38466c" d="M2 24h1M8 24h1M3Mw 25h1M7 25h1M4 26h3M40 30h1M46 30h1M41 31h1M45 31h1M42 32h3M14 40h2M38 40h1M11 41h1M13 41h1M36 41h2M12 42h1M33 42h3M14 43h19" /> <path stroke="#ffadaa" d="M18 26h2M31 26h2" /> <path stroke="#db8100" d="M23 33h3M22 34h5M22 35h5M23 36h3M24 37h2" /> <path stroke="#3e4f78" d="M23 44h4M23 45h5M24 46h3" /> <path stroke="#445581" d="M27 46h1M26 47h2M26 48h2M26 49h2" /> text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #067</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>White, Brown (Shiny)</meow:Skin> <meow:Eyes>With one eye patch</meow:Eyes> <meow:Gear>Pirate costume with a ship</meow:Gear> <meow:Message>Ahoy meowties, time to plunder some bitcoins</meow:Message> <path stroke="#6afff6" d="M0 0h50M0 1h50M0 2h40M41 2h9M0 3h26M28 3h1M31 3h8M43 3h7M0 4h27M30 4h9M44 4h6M0 5h28M29 5h10M44 5h6M0 6h36M47 6h3M0 7h6M8 7h3M13 7h22M48 7h2M0 8h7M9 8h1M12 8h24M47 8h3M0 9h8M11 9h26M48 9h2M0 10h9M10 10h27M49 10h1M0 11h37M49 11h1M0 12h38M49 12h1M0 13h20M23 13h3M29 13h9M48 13h2M0 14h18M23 14h3M31 14h6M48 14h1M0 15h17M32 15h4M0 16h17M47 16h1M0 17h11M14 17h2M46 17h2M0 18h10M45 18h3M0 19h10M0 20h10M0 21h11M0 22h12M0 23h8M9 23h4M1 24h7M10 24h2M1 25h5M7 25h1M10 25h2M2 26h4M11 26h2M2 27h3" /M <path stroke="#000000" d="M40 2h1M26 3h2M29 3h2M39 3h1M41 3h2M27 4h3M39 4h1M43 4h1M28 5h1M43 5h1M36 6h3M42 6h5M6 7h2M11 7h2M35 7h1M47 7h1M7 8h2M10 8h2M36 8h1M46 8h1M8 9h3M37 9h1M47 9h1M9 10h1M37 10h1M48 10h1M37 11h1M39 11h1M41 11h2M44 11h1M48 11h1M38 12h1M40 12h4M48 12h1M20 13h3M26 13h3M38 13h1M40 13h1M43 13h1M47 13h1M18 14h2M22 14h1M26 14h1M29 14h2M37 14h1M40 14h4M47 14h1M49 14h1M17 15h1M23 15h3M31 15h1M36 15h1M39 15h1M41 15h2M44 15h1M47 15h2M17 16h1M31 16h5M46 16h1M48 16h1M11 17h3M16 17h2M31 17h7M45 17h1M48 17M h1M10 18h1M14 18h2M18 18h1M30 18h2M34 18h1M38 18h1M44 18h1M48 18h1M10 19h1M15 19h4M30 19h4M38 19h1M45 19h5M10 20h1M38 20h1M11 21h1M37 21h1M48 21h2M12 22h1M16 22h17M36 22h1M13 23h1M15 23h2M27 23h1M29 23h1M33 23h5M40 23h3M45 23h3M12 24h1M15 24h2M19 24h3M28 24h1M30 24h3M34 24h4M40 24h3M45 24h3M12 25h1M15 25h1M18 25h1M22 25h1M27 25h1M33 25h1M35 25h1M13 26h3M27 26h1M33 26h1M35 26h1M49 26h1M12 27h1M15 27h1M25 27h1M28 27h1M33 27h1M35 27h15M12 28h1M16 28h1M24 28h3M29 28h4M34 28h2M12 29h1M16 29h1M33 29h3M13 30h1M15 30h2M34 M 30h1M13 31h1M15 31h2M34 31h1M13 32h1M15 32h1M17 32h2M32 32h2M13 33h2M19 33h2M30 33h2M19 34h1M31 34h1M12 35h1M18 35h1M32 35h1M11 36h1M13 36h1M18 36h1M32 36h1M11 37h1M13 37h6M22 37h2M27 37h2M32 37h1M11 38h1M18 38h2M24 38h1M26 38h1M31 38h1M12 39h7M20 39h11" /> <path stroke="#9e5000" d="M40 3h1M40 4h1M39 5h2M39 6h3M36 7h11M39 18h4M40 19h5M40 20h2M47 20h3M40 21h2M47 21h1M37 22h13M38 23h2M43 23h2M48 23h2M38 24h2M43 24h2M48 24h2M36 25h14M36 26h13" /> <path stroke="#bc0000" d="M41 4h2M41 5h2" /> <path stroke="#f5f5f5" dM ="M37 8h9M38 9h9M38 10h10M38 11h1M40 11h1M43 11h1M45 11h3M39 12h1M44 12h4M39 13h1M41 13h2M44 13h3M38 14h2M44 14h3M37 15h2M40 15h1M43 15h1M45 15h2M49 15h1M36 16h10M49 16h1M38 17h7M49 17h1M43 18h1M49 18h1M39 19h1M39 20h1M42 20h5M38 21h2M42 21h5" /> <path stroke="#ffde6f" d="M20 14h2M18 15h2M22 15h1M18 16h1M11 18h2M37 18h1" /> <path stroke="#ffd53f" d="M27 14h2M26 15h1M29 15h2M22 16h5M30 16h1M13 18h1M35 18h2M13 19h2M34 19h2" /> <path stroke="#4a4343" d="M20 15h2M27 15h2M19 16h2M29 16h1M18 17h2M22 17h4M30 17h1M11 19M h2M36 19h2M23 20h1M25 20h1" /> <path stroke="#352e2e" d="M21 16h1M27 16h2M20 17h2M26 17h4M19 18h3M27 18h3M19 19h3M23 19h1M25 19h1M27 19h3M11 20h3M36 20h2M29 25h4M29 26h4M32 27h1M33 28h1" /> <path stroke="#603f18" d="M16 18h2M32 18h2" /> <path stroke="#ffffff" d="M22 18h5M22 19h1M24 19h1M26 19h1M20 25h1M25 25h1M24 26h3M23 27h2M26 27h2M23 28h1M27 28h1M22 29h7M22 30h7M21 31h9M19 32h13M21 33h9M20 34h11M19 35h13M19 36h13M19 37h2M24 37h3M30 37h2M15 38h3M25 38h1" /> <path stroke="#282121" d="M14 20h9M24 20h1M26 20h10MM <path stroke="#6d151a" d="M15 21h3M34 21h3M14 22h2M35 22h1M14 25h1M14 27h1M15 28h1M15 29h1" /> <path stroke="#a20616" d="M18 21h14M13 22h1M33 22h2M14 23h1M14 24h1M14 28h1M14 29h1M14 30h1" /> <path stroke="#bd353b" d="M32 21h2M13 24h1M13 25h1M13 27h1M13 28h1M13 29h1M14 31h1M14 32h1" /> <path stroke="#358cd2" d="M8 23h1M0 24h1M8 24h2M0 25h1M6 25h1M8 25h2M0 26h2M6 26h5M0 27h2M5 27h7M0 28h12M36 28h14M0 29h12M36 29h14M0 30h13M35 30h15M0 31h13M35 31h15M0 32h13M16 32h1M34 32h16" /> <path stroke="#8f6535" M d="M17 23h2M22 23h5M32 23h1M17 24h1M23 24h2M26 24h2M33 24h1M16 25h1M34 25h1M12 37h1M21 37h1M29 37h1M12 38h3M20 38h3M28 38h3" /> <path stroke="#4e3312" d="M19 23h3M30 23h2M18 24h1M22 24h1M25 24h1M17 25h1M23 25h2M26 25h1M16 26h3M22 26h2M34 26h1M16 27h3M22 27h1M34 27h1M17 28h1M20 28h3M28 28h1M17 29h5M29 29h4M17 30h5M29 30h5M17 31h4M30 31h4M12 36h1M23 38h1M27 38h1" /> <path stroke="#565151" d="M28 23h1M29 24h1M28 25h1M28 26h1M29 27h3" /> <path stroke="#009ca5" d="M19 25h1M21 25h1M19 26h3" /> <path stroke="#008991" M <path stroke="#ffbbbc" d="M18 28h2" /> <path stroke="#c39a74" d="M0 33h13M15 33h4M32 33h18M0 34h19M32 34h18M0 35h12M13 35h5M33 35h17M0 36h11M14 36h4M33 36h17M0 37h11M33 37h17M0 38h11M32 38h18M0 39h12M19 39h1M31 39h19M0 40h11M32 40h18M0 41h13M18 41h2M31 41h19M0 42h22M29 42h21M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#a57f59" d="M11 40h21M13 41h5M20 41h11M22 42h7" /> text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 .{"p":"sns","op":"reg","name":"HalFinney.sats"}h! <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #041</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Orange, White</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>Trainer Cap and Ball</meow:Gear> <meow:Message>Gotta catch em all - all the sats I mean</meow:Message> <path stroke="#ab7778" d=M "M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 7h50M0 8h50M0 9h50M0 10h23M28 10h22M0 11h22M29 11h21M0 12h21M30 12h20M0 13h20M31 13h19M0 14h15M18 14h2M31 14h1M35 14h15M0 15h14M36 15h14M0 16h14M36 16h14M0 17h14M36 17h14M0 18h14M36 18h14M0 19h14M36 19h14M0 20h15M35 20h15M0 21h15M35 21h15M0 22h14M36 22h14M0 23h14M36 23h14M0 24h13M37 24h13M0 25h12M38 25h12M0 26h13M37 26h13M0 27h11M38 27h12M0 28h11M37 28h13M0 29h11M36 29h14M0 30h11M35 30h15M0 31h11M33 31h17M0 32h12M31 32h19M0 33h13M17 33h1M32 33h18M0 34h13M17 34h1MM 32 34h18M0 35h14M33 35h17M0 36h15M33 36h17M0 37h16M33 37h17M0 38h17M32 38h18M0 39h19M31 39h19M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M23 10h5M22 11h1M28 11h1M21 12h1M29 12h1M20 13h1M30 13h1M15 14h3M20 14h1M30 14h1M32 14h3M14 15h1M18 15h2M30 15h2M35 15h1M14 16h1M18 16h1M30 16h1M35 16h1M14 17h1M17 17h1M21 17h2M30 17h2M35 17h1M14 18h1M17 18h4M23 18h3M28 18h2M32 18h1M35 18h1M14 19h1M16 19h1M26 19h2M33 19h1M35 19h1M15 20h1M34 20h1M15 21h1M34 21h1M14M 22h1M19 22h3M29 22h3M35 22h1M14 23h3M18 23h1M22 23h1M28 23h1M32 23h1M35 23h1M13 24h2M17 24h1M36 24h1M12 25h2M15 25h2M18 25h1M24 25h1M26 25h1M37 25h1M13 26h1M15 26h2M18 26h1M25 26h1M36 26h1M11 27h2M14 27h1M17 27h1M37 27h1M11 28h1M13 28h1M15 28h3M36 28h1M11 29h1M14 29h2M18 29h1M35 29h1M11 30h1M15 30h1M19 30h1M33 30h2M11 31h2M16 31h1M20 31h1M30 31h3M12 32h1M17 32h1M30 32h1M13 33h1M16 33h1M18 33h1M31 33h1M13 34h1M16 34h1M18 34h1M31 34h1M14 35h1M17 35h1M32 35h1M15 36h1M17 36h1M32 36h1M16 37h2M32 37h1M17 38h2M20 38h1M22M 38h1M27 38h1M29 38h1M31 38h1M19 39h12" /> <path stroke="#ffffff" d="M23 11h5M22 12h2M26 12h2M21 13h2M24 13h5M21 14h3M26 14h3M15 15h3M21 15h1M25 15h4M15 16h1M28 16h1M15 17h1M15 18h1M21 18h1M15 19h1M17 19h4M16 20h4M16 21h3M15 22h2M20 23h1M30 23h1M35 24h1M35 25h2M14 26h1M17 26h1M22 26h1M35 26h1M15 27h2M21 27h3M34 27h3M22 28h3M32 28h4M32 29h3M30 30h3M29 31h1M29 32h1M30 33h1M30 34h1M30 35h2M31 36h1M31 37h1M30 38h1" /> <path stroke="#3b7400" d="M24 12h2M23 13h1M24 14h2" /> <path stroke="#d6131b" d="M28 12h1M29 13h1M2M 9 14h1M20 15h1M22 15h3M29 15h1M19 16h9M29 16h1M18 17h3M23 17h7M26 18h2M15 24h2M14 25h1M17 25h1M12 28h1M12 29h2M12 30h2M13 31h1M13 32h1M16 32h1" /> <path stroke="#ef8e3f" d="M32 15h3M34 16h1M34 17h1M22 18h1M30 18h2M34 18h1M21 19h5M28 19h5M34 19h1M20 20h14M19 21h15M17 22h2M22 22h7M32 22h3M17 23h1M23 23h5M33 23h2M18 24h1M22 24h7M32 24h3M22 25h2M25 25h1M27 25h2M32 25h3M20 26h2M23 26h2M26 26h5M33 26h2M13 27h1M18 27h3M24 27h10M14 28h1M18 28h4M25 28h7M17 29h1M19 29h13M16 30h3M20 30h10M17 31h3M21 31h8M18 32h11M14 33h1M19 M 33h11M14 34h2M19 34h11M15 35h2M18 35h12M16 36h1M18 36h13M18 37h13M19 38h1M21 38h1M23 38h4M28 38h1" /> <path stroke="#ffbda7" d="M16 16h2M31 16h3M16 17h1M32 17h2M16 18h1M33 18h1" /> <path stroke="#aaa600" d="M19 23h1M21 23h1M29 23h1M31 23h1M19 24h3M29 24h3" /> <path stroke="#a09c00" d="M19 25h3M29 25h3" /> <path stroke="#ffadaf" d="M19 26h1M31 26h2" /> <path stroke="#ffa785" d="M16 29h1" /> <path stroke="#ff9400" d="M14 30h1M15 31h1" /> <path stroke="#ffe500" d="M14 31h1M14 32h2M15 33h1" /> text/plain;charset=utf-8 text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #026</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Black, White</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>1195c8112e21131e8cea96f774a30871fe4f3f042d041acbc342193eaf801cbfi0</meow:Gear> <meow:Message>Looks like a rare, warm, nice-to-hold ball</meow:Message> <path stroke="#ffcf6f" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h23M28 13h22M0 14h22M29 14h21M0 15h16M19 15h2M30 15h2M35 15h15M0 16h15M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h13M38 19h12M0 20h12M39 20h11M0 21h13M38 21h12M0 22h16M35 22h15M0 23h15M36 23h14M0 24h11M14 24h1M36 24h14M0 25h10M36 25h14M0 26h9M36 26h14M0 27h8M36 27h14M0 28h8M35 28h15M0 29h8M35 29h15M0 30h9M34 30h16M0 31h10M32 31h18M0 32h11M14 32h2M31 32h19M0 33h17M32M 33h18M0 34h17M33 34h17M0 35h16M34 35h16M0 36h16M34 36h16M0 37h16M33 37h17M0 38h17M32 38h18M0 39h20M31 39h19M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M23 13h5M22 14h1M28 14h1M16 15h3M21 15h1M29 15h1M32 15h3M15 16h1M19 16h2M30 16h2M35 16h1M15 17h1M19 17h1M31 17h1M35 17h1M15 18h1M18 18h1M32 18h1M35 18h1M13 19h5M33 19h5M12 20h1M38 20h1M13 21h25M16 22h1M34 22h1M15 23h1M20 23h2M29 23h2M35 23h1M11 24h3M15 24h1M20 24h2M29 24h2M35 24h1M10 25h1M14 25h2M24M 25h3M35 25h1M9 26h1M15 26h1M25 26h1M35 26h1M8 27h1M16 27h1M35 27h1M8 28h1M16 28h1M34 28h1M8 29h1M16 29h2M34 29h1M9 30h1M15 30h1M18 30h1M32 30h2M10 31h1M14 31h2M19 31h1M30 31h2M11 32h3M16 32h1M30 32h1M17 33h1M27 33h1M30 33h2M17 34h11M30 34h3M16 35h1M27 35h1M30 35h1M33 35h1M16 36h1M33 36h1M16 37h17M17 38h3M21 38h1M29 38h1M31 38h1M20 39h11" /> <path stroke="#ab8a6a" d="M23 14h4M22 15h4M21 16h4M20 17h4M30 17h1M13 20h9" /> <path stroke="#a38262" d="M27 14h1M26 15h2M25 16h2M24 17h3M22 20h3" /> <path stroke="#9c7b5b" M d="M28 15h1M27 16h3M27 17h3M25 20h13" /> <path stroke="#ffffff" d="M16 16h3M16 17h1M16 18h1M16 30h1M16 31h1M23 31h4M17 32h1M22 32h6M18 33h1M21 33h6" /> <path stroke="#2c2c2c" d="M32 16h3M34 17h1M34 18h1M17 22h3M22 22h7M31 22h3M16 23h3M23 23h5M32 23h3M16 24h3M23 24h5M32 24h3M16 25h4M22 25h2M27 25h2M31 25h4M16 26h2M20 26h5M26 26h5M33 26h2M17 27h18M17 28h17M18 29h16M17 30h1M19 30h13M17 31h2M20 31h3M27 31h3M18 32h4M28 32h2M19 33h2M28 33h2M28 34h2M28 35h2M20 38h1M22 38h7M30 38h1" /> <path stroke="#fabeb0" d="M17 17h2M M32 17h2M17 18h1M33 18h1" /> <path stroke="#ffcb00" d="M19 18h1M22 18h5M22 19h5M11 25h3M10 26h3M9 27h2M12 27h1M15 27h1M10 28h6M12 29h1M15 29h1M11 30h3M17 35h1M19 35h2M22 35h2M25 35h2M31 35h2M17 36h1M19 36h2M22 36h2M25 36h2M28 36h2M31 36h2" /> <path stroke="#ffd703" d="M20 18h2M18 19h4" /> <path stroke="#fabf00" d="M27 18h5M27 19h6" /> <path stroke="#c3d57f" d="M20 22h2M29 22h2M19 23h1M22 23h1M28 23h1M31 23h1M19 24h1M22 24h1M28 24h1M31 24h1M20 25h2M29 25h2" /> <path stroke="#ffe028" d="M13 26h2M14 27h1M14 29h1"M <path stroke="#ffb29d" d="M18 26h2M31 26h2" /> <path stroke="#ff0000" d="M11 27h1M13 27h1M11 29h1M13 29h1" /> <path stroke="#ffb400" d="M9 28h1M9 29h2M10 30h1M14 30h1M11 31h3" /> <path stroke="#0094ea" d="M18 35h1M21 35h1M24 35h1M18 36h1M21 36h1M24 36h1M27 36h1M30 36h1" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #037</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Orange</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meeeeooowwwwww</meow:Message> <path stroke="#c5532e" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h5M 0M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h15M18 14h14M35 14h15M0 15h14M20 15h10M36 15h14M0 16h14M36 16h14M0 17h14M36 17h14M0 18h14M36 18h14M0 19h14M36 19h14M0 20h15M35 20h15M0 21h15M35 21h15M0 22h14M36 22h14M0 23h14M36 23h14M0 24h13M37 24h13M0 25h12M38 25h12M0 26h13M37 26h13M0 27h12M38 27h12M0 28h13M37 28h13M0 29h14M36 29h14M0 30h15M35 30h15M0 31h17M33 31h17M0 32h19M31 32h19M0 33h18M32 33h18M0 34h18M32 34h18M0 35h15M33 35h17M0 36h15M33 36h17M0 37h16M33 37h17M0 38h17M32 38h18M0 39h19M31 39h19M0 40hM 50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M15 14h3M32 14h3M14 15h1M18 15h2M30 15h2M35 15h1M14 16h1M20 16h10M35 16h1M14 17h1M18 17h2M30 17h2M35 17h1M14 18h1M17 18h1M32 18h1M35 18h1M14 19h1M16 19h1M33 19h1M35 19h1M15 20h1M34 20h1M15 21h1M34 21h1M14 22h1M19 22h3M29 22h3M35 22h1M14 23h1M18 23h1M22 23h1M28 23h1M32 23h1M35 23h1M13 24h1M36 24h1M12 25h1M24 25h1M26 25h1M37 25h1M13 26h1M25 26h1M36 26h1M12 27h1M37 27h1M13 28h1M36 28h1M14 29h1M35 29h1M15 30h2M33 3M 0h2M17 31h3M30 31h3M19 32h1M30 32h1M18 33h1M31 33h1M18 34h1M31 34h1M15 35h3M32 35h1M15 36h1M17 36h1M32 36h1M16 37h2M32 37h1M17 38h2M20 38h1M22 38h1M27 38h1M29 38h1M31 38h1M19 39h12" /> <path stroke="#fe9800" d="M15 15h3M32 15h3M15 16h1M19 16h1M30 16h1M34 16h1M15 17h1M20 17h2M28 17h2M34 17h1M15 18h1M18 18h14M34 18h1M15 19h1M17 19h6M27 19h6M34 19h1M16 20h18M16 21h18M15 22h4M22 22h7M32 22h3M15 23h3M23 23h5M33 23h2M14 24h5M22 24h7M32 24h4M13 25h5M22 25h2M27 25h2M33 25h4M14 26h4M20 26h5M26 26h5M33 26h3M14 27h22M15 28h2M 0M17 29h16M20 30h10M20 31h10M20 32h3M27 32h3M19 33h12M21 34h3M26 34h3M18 35h14M16 36h1M20 36h10M18 37h14M19 38h1M23 38h4M30 38h1" /> <path stroke="#ffc4c6" d="M16 16h3M31 16h3M16 17h2M32 17h2M16 18h1M33 18h1" /> <path stroke="#b86600" d="M22 17h6M23 19h4M13 27h1M36 27h1M14 28h1M35 28h1M15 29h2M33 29h2M17 30h3M30 30h3M23 32h4M19 34h2M24 34h2M29 34h2M18 36h2M30 36h2M21 38h1M28 38h1" /> <path stroke="#a9c400" d="M19 23h1M21 23h1M29 23h1M31 23h1M19 24h3M29 24h3" /> <path stroke="#ffffff" d="M20 23h1M30 23h1" /> ath stroke="#ffb0b2" d="M18 25h1M32 25h1M18 26h2M31 26h2" /> <path stroke="#b4ce00" d="M19 25h3M29 25h3" /> <path stroke="#ffb790" d="M25 25h1" /> text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #059</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Lightgrey, White</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meeeeooowwwwww</meow:Message> <path stroke="#eec87e" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 M 5h50M0 6h50M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h14M19 14h12M36 14h14M0 15h14M20 15h10M36 15h14M0 16h14M36 16h14M0 17h14M36 17h14M0 18h14M36 18h14M0 19h14M36 19h14M0 20h15M35 20h15M0 21h15M35 21h15M0 22h14M36 22h14M0 23h14M36 23h14M0 24h13M37 24h13M0 25h12M38 25h12M0 26h13M37 26h13M0 27h12M38 27h12M0 28h13M37 28h13M0 29h14M36 29h14M0 30h15M36 30h14M0 31h11M12 31h5M36 31h14M0 32h10M13 32h6M35 32h15M0 33h10M15 33h3M34 33h16M0 34h10M16 34h2M33 34h17M0 35h11M33 35h17M0 36h12M33 36h17M0 37h15M33 37hM 17M0 38h17M32 38h18M0 39h19M31 39h19M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M14 14h5M31 14h5M14 15h1M19 15h1M30 15h1M35 15h1M14 16h1M20 16h10M35 16h1M14 17h1M18 17h2M30 17h2M35 17h1M14 18h1M17 18h1M32 18h1M35 18h1M14 19h1M16 19h1M33 19h1M35 19h1M15 20h1M34 20h1M15 21h1M34 21h1M14 22h1M19 22h3M29 22h3M35 22h1M14 23h1M18 23h1M22 23h1M28 23h1M32 23h1M35 23h1M13 24h1M36 24h1M12 25h1M24 25h1M26 25h1M37 25h1M13 26h1M25 26h1M36 26h1M12 27h1M37 27h1M13M 28h1M36 28h1M14 29h1M33 29h3M15 30h2M32 30h1M35 30h1M11 31h1M17 31h3M30 31h2M35 31h1M10 32h1M12 32h1M19 32h1M30 32h1M34 32h1M10 33h1M13 33h2M18 33h1M33 33h1M10 34h1M15 34h1M18 34h1M32 34h1M11 35h1M16 35h2M32 35h1M12 36h3M17 36h1M32 36h1M15 37h3M32 37h1M17 38h2M20 38h1M22 38h1M27 38h1M29 38h1M31 38h1M19 39h12" /> <path stroke="#a3a3a3" d="M15 15h4M31 15h4M15 16h5M30 16h5M15 17h1M20 17h4M26 17h4M34 17h1M15 18h1M18 18h6M26 18h6M34 18h1M15 19h1M17 19h7M26 19h7M34 19h1M16 20h8M26 20h8M16 21h8M26 21h8M15 22h4M22 22h1M2M 7 22h2M32 22h3M15 23h3M33 23h2M14 24h5M32 24h4M13 25h5M23 25h1M27 25h1M33 25h4M14 26h4M22 26h3M26 26h3M33 26h3M21 27h3M27 27h3M20 31h1M11 32h1M20 32h1M11 33h2M19 33h2M11 34h4M19 34h1M12 35h4M18 35h1M15 36h2M21 38h1M28 38h1" /> <path stroke="#ffc4c6" d="M16 17h2M32 17h2M16 18h1M33 18h1" /> <path stroke="#ffffff" d="M24 17h2M24 18h2M24 19h2M24 20h2M24 21h2M23 22h4M20 23h1M23 23h5M30 23h1M22 24h7M22 25h1M28 25h1M20 26h2M29 26h2M13 27h8M24 27h3M30 27h7M14 28h22M15 29h18M17 30h15M33 30h2M21 31h9M32 31h3M21 32h9M31 32hM9 3M21 33h12M20 34h12M19 35h13M18 36h14M18 37h14M19 38h1M23 38h4M30 38h1" /> <path stroke="#a2c26c" d="M19 23h1M21 23h1M29 23h1M31 23h1M19 24h3M29 24h3" /> <path stroke="#ffb0b2" d="M18 25h1M32 25h1M18 26h2M31 26h2" /> <path stroke="#8ba85d" d="M19 25h3M29 25h3" /> <path stroke="#ffb790" d="M25 25h1" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #030</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Black, White</meow:Skin> <meow:Eyes>Closed</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>The Yin Yang Pussy</meow:Message> <path stroke="#9bf6ff" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50MM 0 5h50M0 6h50M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h50M0 16h50M0 17h16M19 17h13M35 17h15M0 18h15M21 18h9M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h15M36 22h14M0 23h15M36 23h14M0 24h16M35 24h15M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h15M36 28h14M0 29h15M36 29h14M0 30h16M35 30h15M0 31h16M35 31h15M0 32h17M34 32h16M0 33h19M32 33h18M0 34h19M32 34h18M0 35h12M13 35h5M33 35h17M0 36h11M14 36h4M33 36h17M0 37h11M33 37h17M0 38h11M32 38h18M0 39h12M19 39h1M31 39hM 19M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 17h3M32 17h3M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M21 19h9M35 19h1M15 20h1M19 20h2M30 20h2M35 20h1M15 21h1M18 21h1M32 21h1M35 21h1M15 22h1M17 22h1M33 22h1M35 22h1M15 23h2M34 23h2M16 24h1M19 24h3M29 24h3M34 24h1M15 25h1M21 25h2M28 25h2M35 25h1M15 26h1M22 26h1M28 26h1M35 26h1M15 27h1M25 27h1M35 27h1M15 28h1M24 28h3M35 28h1M15 29h1M24 29h1M26 29h1M35 29h1M16 30h1M34 30h1M16 31h1M34 31h1M17 32h2M32 32M h2M19 33h2M30 33h2M19 34h1M31 34h1M12 35h1M18 35h1M32 35h1M11 36h1M13 36h1M18 36h1M32 36h1M11 37h1M13 37h6M22 37h2M27 37h2M32 37h1M11 38h1M18 38h2M24 38h1M26 38h1M31 38h1M12 39h7M20 39h11" /> <path stroke="#ffffff" d="M16 18h3M16 19h1M16 20h1M21 20h5M16 21h1M19 21h7M16 22h1M18 22h8M17 23h9M17 24h2M22 24h4M16 25h5M23 25h3M16 26h6M23 26h3M16 27h9M16 28h2M20 28h4M16 29h8M17 30h9M17 31h9M19 32h7M21 33h5M20 34h6M19 35h7M19 36h7M19 37h3M24 37h2M20 38h4M25 38h1" /> <path stroke="#2c2c2c" d="M32 18h3M20 19h1M30 19h1M34 1M 9h1M26 20h4M34 20h1M26 21h6M34 21h1M26 22h7M34 22h1M26 23h8M26 24h3M32 24h2M26 25h2M30 25h5M26 26h2M29 26h6M26 27h9M27 28h4M33 28h2M27 29h8M26 30h8M26 31h8M26 32h6M26 33h4M26 34h5M26 35h6M12 36h1M26 36h6M12 37h1M26 37h1M29 37h3M12 38h6M27 38h4" /> <path stroke="#ecbaaf" d="M17 19h3M31 19h3M17 20h2M32 20h2M17 21h1M33 21h1" /> <path stroke="#ffbbbc" d="M18 28h2M31 28h2" /> <path stroke="#ff9b9e" d="M25 29h1" /> text/plain;charset=utf-8 text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #039</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Orange</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meeeeooowwwwww</meow:Message> <path stroke="#91e1d1" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h5M 0M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h16M19 15h13M35 15h15M0 16h15M21 16h9M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h16M35 28h15M0 29h16M35 29h15M0 30h17M34 30h16M0 31h16M35 31h15M0 32h16M35 32h15M0 33h15M36 33h14M0 34h13M36 34h14M0 35h13M36 35h14M0 36h14M36 36h14M0 37h15M35 37h15M0 38h17M34 38h16M0 39h19M32 39h18M0 40h50M0 41h50M M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 15h3M32 15h3M15 16h1M19 16h2M30 16h2M35 16h1M15 17h1M21 17h9M35 17h1M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M18 19h1M32 19h1M35 19h1M15 20h1M17 20h1M33 20h1M35 20h1M15 21h2M34 21h2M16 22h1M34 22h1M15 23h1M20 23h2M35 23h1M15 24h1M20 24h2M28 24h3M35 24h1M15 25h1M35 25h1M15 26h1M24 26h1M26 26h1M35 26h1M15 27h1M25 27h1M35 27h1M16 28h1M34 28h1M16 29h1M34 29h1M17 30h2M32 30h2M16 31h1M19 31h2M30 31h2M34 31h1M16 32h1M24 32h3M M34 32h1M15 33h1M35 33h1M13 34h3M35 34h1M13 35h1M15 35h1M35 35h1M14 36h2M35 36h1M15 37h2M34 37h1M17 38h2M22 38h1M24 38h1M26 38h1M28 38h1M32 38h2M19 39h13" /> <path stroke="#fe9800" d="M16 16h3M16 17h1M20 17h1M16 18h1M21 18h2M24 18h1M26 18h1M28 18h2M16 19h1M19 19h4M24 19h1M26 19h1M28 19h4M16 20h1M18 20h7M26 20h7M17 21h17M17 22h3M22 22h12M16 23h3M23 23h12M16 24h3M23 24h5M31 24h4M17 25h1M19 25h1M22 25h10M33 25h1M16 26h2M20 26h2M27 26h4M33 26h2M18 27h5M26 27h7M18 28h6M25 28h8M17 29h17M19 30h13M21 31h9M32 31h2M20 32h4MM 27 32h7M19 33h4M28 33h7M16 34h1M18 34h6M27 34h8M14 35h1M16 35h9M26 35h7M16 36h16M17 37h1M20 37h11M20 38h2M23 38h1M25 38h1M27 38h1M29 38h2" /> <path stroke="#bc6f07" d="M32 16h3M30 17h1M34 17h1M23 18h1M25 18h1M27 18h1M34 18h1M23 19h1M25 19h1M27 19h1M34 19h1M25 20h1M34 20h1M16 25h1M34 25h1M22 26h2M16 27h2M23 27h2M33 27h2M17 28h1M24 28h1M33 28h1M17 31h2M17 32h3M16 33h3M23 33h5M17 34h1M24 34h3M25 35h1M33 35h2M32 36h3M18 37h2M31 37h3M19 38h1M31 38h1" /> <path stroke="#ffd1a2" d="M17 17h3M31 17h3M17 18h2M32 18h2M17 19hL <path stroke="#89a410" d="M20 22h2M19 23h1M22 23h1M19 24h1M22 24h1M20 25h2" /> <path stroke="#ffa18b" d="M18 25h1M32 25h1M18 26h2M31 26h2" /> <path stroke="#ffb189" d="M25 26h1" /> text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #025</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Black, White</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meeeeooowwwwww</meow:Message> <path stroke="#62b6f0" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M M0 6h50M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h16M19 15h13M35 15h15M0 16h15M21 16h9M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h14M37 25h13M0 26h15M36 26h14M0 27h14M37 27h13M0 28h15M36 28h14M0 29h16M35 29h15M0 30h17M34 30h16M0 31h12M14 31h2M35 31h15M0 32h11M15 32h1M35 32h15M0 33h11M36 33h14M0 34h12M36 34h14M0 35h13M36 35h14M0 36h14M36 36h14M0 37h15M35 37h15M0 38h16M34 38h16M0 39h19M32M 39h18M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 15h3M32 15h3M15 16h1M19 16h2M30 16h2M35 16h1M15 17h1M21 17h9M35 17h1M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M18 19h1M32 19h1M35 19h1M15 20h1M17 20h1M33 20h1M35 20h1M15 21h2M34 21h2M16 22h1M19 22h3M29 22h3M34 22h1M15 23h1M18 23h1M22 23h1M28 23h1M32 23h1M35 23h1M15 24h1M35 24h1M14 25h1M36 25h1M15 26h1M24 26h1M26 26h1M35 26h1M14 27h1M25 27h1M36 27h1M15 28h2M34 28h2M16 29h1M34 29h1M17 30h2M32 30h2M1M 2 31h2M16 31h1M19 31h2M30 31h2M34 31h1M11 32h1M14 32h1M16 32h1M24 32h3M34 32h1M11 33h1M14 33h2M35 33h1M12 34h1M15 34h1M35 34h1M13 35h1M15 35h1M35 35h1M14 36h2M35 36h1M15 37h2M34 37h1M16 38h3M22 38h1M24 38h1M26 38h1M28 38h1M32 38h2M19 39h13" /> <path stroke="#2c2c2c" d="M16 16h3M32 16h3M16 17h1M20 17h1M30 17h1M34 17h1M16 18h1M21 18h9M34 18h1M16 19h1M19 19h13M34 19h1M16 20h1M18 20h15M34 20h1M17 21h8M26 21h8M17 22h2M22 22h2M27 22h2M32 22h2M16 23h2M33 23h2M16 24h3M22 24h1M28 24h1M32 24h3M15 25h3M33 25h3M16 26h1M34 26hM 1M17 31h2M32 31h2M12 32h2M17 32h5M29 32h5M13 33h1M16 33h5M30 33h5M16 34h4M31 34h4M16 35h3M32 35h3M16 36h3M32 36h3M17 37h2M32 37h2" /> <path stroke="#ffcdc3" d="M17 17h3M31 17h3M17 18h2M32 18h2M17 19h1M33 19h1" /> <path stroke="#ffffff" d="M25 21h1M24 22h3M20 23h1M23 23h5M30 23h1M23 24h5M18 25h1M22 25h7M32 25h1M17 26h1M20 26h4M27 26h4M33 26h1M15 27h10M26 27h10M17 28h17M17 29h17M19 30h13M21 31h9M22 32h2M27 32h2M12 33h1M21 33h9M13 34h2M20 34h11M14 35h1M19 35h13M19 36h13M19 37h13M19 38h3M23 38h1M25 38h1M27 38h1M29 38L <path stroke="#a2ae00" d="M19 23h1M21 23h1M29 23h1M31 23h1M19 24h3M29 24h3" /> <path stroke="#c2d000" d="M19 25h3M29 25h3" /> <path stroke="#ffb5a5" d="M18 26h2M31 26h2" /> <path stroke="#f5b3a5" d="M25 26h1" /> text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #064</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Lightgrey, White</meow:Skin> <meow:Eyes>Smiling</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>The dollar does not have nine lives like meow</meow:Message> <path stroke="#fff195" d="M0 0M h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h16M19 15h13M35 15h15M0 16h15M21 16h9M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h16M35 28h15M0 29h16M35 29h15M0 30h17M34 30h16M0 31h19M32 31h18M0 32h15M17 32h3M31 32h19M0 33h14M18 33h1M32 33h18M0 34h14M18 34h1M32 34h18M0 35h15M33 35h17M0 36h16M33 36h1M 7M0 37h17M33 37h17M0 38h18M32 38h18M0 39h20M31 39h19M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 15h3M32 15h3M15 16h1M19 16h2M30 16h2M35 16h1M15 17h1M21 17h9M35 17h1M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M18 19h1M32 19h1M35 19h1M15 20h1M17 20h1M33 20h1M35 20h1M15 21h2M34 21h2M16 22h1M34 22h1M15 23h1M20 23h2M29 23h2M35 23h1M15 24h1M19 24h1M22 24h1M28 24h1M31 24h1M35 24h1M15 25h1M35 25h1M15 26h1M23 26h1M25 26h1M27 26h1M35 26h1M15 27h1M24 27h1M26 M 27h1M35 27h1M16 28h1M25 28h1M34 28h1M16 29h1M34 29h1M17 30h2M32 30h2M19 31h2M30 31h2M15 32h2M20 32h1M30 32h1M14 33h1M17 33h1M19 33h1M31 33h1M14 34h1M17 34h1M19 34h1M31 34h1M15 35h1M18 35h1M32 35h1M16 36h1M18 36h1M32 36h1M17 37h2M32 37h1M18 38h2M21 38h1M23 38h1M27 38h1M29 38h1M31 38h1M20 39h11" /> <path stroke="#acacac" d="M16 16h3M32 16h3M16 17h1M20 17h1M30 17h1M34 17h1M16 18h1M21 18h2M24 18h1M26 18h1M28 18h2M34 18h1M16 19h1M19 19h4M24 19h1M26 19h1M28 19h4M34 19h1M16 20h1M18 20h15M34 20h1M17 21h17M17 22h17M16 23h4M M22 23h7M31 23h4M16 24h3M20 24h2M23 24h1M27 24h1M29 24h2M32 24h3M16 25h2M20 25h3M28 25h3M33 25h2M16 26h6M29 26h6M16 27h5M30 27h5M17 28h2M32 28h2M17 29h1M33 29h1M21 31h1M29 31h1M21 32h2M28 32h2M15 33h1M22 33h1M28 33h1M16 34h1M20 34h2M29 34h2M19 36h1M31 36h1M19 37h1M31 37h1M20 38h1M30 38h1" /> <path stroke="#ffd0d1" d="M17 17h3M31 17h3M17 18h2M32 18h2M17 19h1M33 19h1" /> <path stroke="#868686" d="M23 18h1M25 18h1M27 18h1M23 19h1M25 19h1M27 19h1M16 33h1M20 33h2M29 33h2M19 35h2M30 35h2" /> <path stroke="#ffffff" d="M/ M24 24h3M23 25h5M22 26h1M24 26h1M26 26h1M28 26h1M21 27h3M27 27h3M19 28h6M26 28h6M18 29h15M19 30h13M22 31h7M23 32h5M23 33h5M15 34h1M22 34h7M16 35h2M21 35h9M17 36h1M20 36h11M20 37h11M22 38h1M24 38h3M28 38h1" /> <path stroke="#ffacae" d="M18 25h2M31 25h2" /> <path stroke="#dfb3a9" d="M25 27h1" /> text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #033</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Orange</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Food?</meow:Message> <path stroke="#8fcfff" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 7h50MM 0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h16M19 15h13M35 15h15M0 16h15M21 16h9M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h16M35 28h15M0 29h16M35 29h15M0 30h17M34 30h16M0 31h16M35 31h15M0 32h13M15 32h1M35 32h15M0 33h12M36 33h14M0 34h12M36 34h14M0 35h13M36 35h14M0 36h14M36 36h14M0 37h15M35 37h15M0 38h17M34 38h16M0 39h19M32 39h18M0 40h50M0 41h50MM 0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 15h3M32 15h3M15 16h1M19 16h2M30 16h2M35 16h1M15 17h1M21 17h9M35 17h1M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M18 19h1M32 19h1M35 19h1M15 20h1M17 20h1M33 20h1M35 20h1M15 21h2M34 21h2M16 22h1M34 22h1M15 23h1M20 23h2M29 23h2M35 23h1M15 24h1M20 24h2M29 24h2M35 24h1M15 25h1M25 25h1M35 25h1M15 26h1M24 26h3M35 26h1M15 27h1M35 27h1M16 28h1M34 28h1M16 29h1M34 29h1M17 30h2M32 30h2M16 31h1M19 31h2M30 31h2M34 31h1M13 32h2M16 32h1MM 24 32h3M34 32h1M12 33h1M15 33h1M35 33h1M12 34h1M15 34h1M35 34h1M13 35h1M15 35h1M35 35h1M14 36h2M35 36h1M15 37h2M34 37h1M17 38h2M22 38h1M24 38h1M26 38h1M28 38h1M32 38h2M19 39h13" /> <path stroke="#f79100" d="M16 16h3M32 16h3M16 17h1M20 17h1M30 17h1M34 17h1M16 18h1M21 18h2M24 18h1M26 18h1M28 18h2M34 18h1M16 19h1M19 19h4M24 19h1M26 19h1M28 19h4M34 19h1M16 20h1M18 20h7M26 20h7M34 20h1M17 21h17M17 22h3M22 22h7M31 22h3M16 23h3M23 23h5M32 23h3M18 24h1M23 24h5M32 24h1M16 25h4M22 25h3M26 25h3M31 25h4M17 26h1M20 26h4M27 26hM 4M33 26h1M18 27h15M19 28h13M17 29h17M19 30h13M17 31h2M21 31h9M32 31h2M17 32h7M27 32h7M13 33h2M19 33h13M13 34h2M16 34h7M28 34h7M14 35h1M20 35h11M16 36h8M27 36h8M17 37h17M19 38h3M23 38h1M25 38h1M27 38h1M29 38h3" /> <path stroke="#ffddd3" d="M17 17h3M31 17h3M17 18h2M32 18h2M17 19h1M33 19h1" /> <path stroke="#d17700" d="M23 18h1M25 18h1M27 18h1M23 19h1M25 19h1M27 19h1M25 20h1M16 24h2M33 24h2M16 26h1M34 26h1M16 27h2M33 27h2M17 28h2M32 28h2M16 33h3M32 33h3M23 34h5M16 35h4M31 35h4M24 36h3" /> <path stroke="#9fdd48" d="L M20 22h2M29 22h2M19 23h1M22 23h1M28 23h1M31 23h1M19 24h1M22 24h1M28 24h1M31 24h1M20 25h2M29 25h2" /> <path stroke="#ff9f88" d="M18 26h2M31 26h2" /> text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #018</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Black</meow:Skin> <meow:Eyes>Closed</meow:Eyes> <meow:Gear>Egg and pan</meow:Gear> <meow:Message>GM. Breakfast is ready</meow:Message> <path stroke="#87371b" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4M h50M0 5h50M0 6h50M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h25M28 13h22M0 14h24M29 14h21M0 15h16M19 15h3M30 15h2M35 15h15M0 16h15M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h16M35 28h15M0 29h16M35 29h15M0 30h17M34 30h16M0 31h16M35 31h15M0 32h16M35 32h15M0 33h15M36 33h14M0 34h13M36 34h14M0 35h11M39 35h11M0 36h10M40 36h10M0 37h9M0 38h9M0 39h9M0 40h9M41 40M h9M0 41h9M41 41h9M0 42h10M40 42h10M0 43h11M39 43h11M0 44h12M38 44h12M0 45h13M37 45h13M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M25 13h3M24 14h1M28 14h1M16 15h3M22 15h2M29 15h1M32 15h3M15 16h1M19 16h3M30 16h2M35 16h1M15 17h1M20 17h1M31 17h1M35 17h1M15 18h1M19 18h2M31 18h1M35 18h1M15 19h1M18 19h1M21 19h1M27 19h4M32 19h1M35 19h1M15 20h1M17 20h1M22 20h5M33 20h1M35 20h1M15 21h2M34 21h2M16 22h1M34 22h1M15 23h1M35 23h1M15 24h1M20 24h3M28 24h3M35 24h1M15 25h1M25 25h1M35 25h1M15 26h1M24 26h3M35 26h1M15M 27h1M35 27h1M16 28h1M34 28h1M16 29h1M34 29h1M17 30h2M32 30h2M16 31h1M19 31h2M30 31h2M34 31h1M16 32h1M24 32h3M34 32h1M15 33h1M35 33h1M13 34h3M35 34h1M11 35h3M15 35h1M35 35h4M10 36h1M14 36h2M35 36h1M39 36h1M9 37h1M15 37h2M34 37h1M40 37h10M9 38h1M17 38h2M22 38h1M24 38h1M26 38h1M28 38h1M32 38h2M40 38h1M9 39h2M19 39h13M39 39h11M9 40h1M11 40h1M38 40h1M40 40h1M9 41h1M12 41h2M36 41h2M40 41h1M10 42h1M14 42h22M39 42h1M11 43h1M38 43h1M12 44h1M37 44h1M13 45h24" /> <path stroke="#ff9d26" d="M25 14h2M26 16h2" /> "#ffb944" d="M27 14h1M25 15h2M25 16h1" /> <path stroke="#f68900" d="M24 15h1M28 15h1M24 16h1M28 16h1M25 17h3" /> <path stroke="#fffaf1" d="M27 15h1M23 16h1M22 17h3M28 17h2M22 18h5" /> <path stroke="#2c2c2c" d="M16 16h3M32 16h3M16 17h1M34 17h1M16 18h1M34 18h1M16 19h1M19 19h2M31 19h1M34 19h1M16 20h1M18 20h4M27 20h6M34 20h1M17 21h17M17 22h17M16 23h19M16 24h4M23 24h5M31 24h4M16 25h9M26 25h9M16 26h2M20 26h4M27 26h4M33 26h2M16 27h19M17 28h17M17 29h17M19 30h13M17 31h2M21 31h9M32 31h2M17 32h7M27 32h7M16 33h19M16 34h19M1M 4 35h1M16 35h19M16 36h19M17 37h17M19 38h3M23 38h1M25 38h1M27 38h1M29 38h3" /> <path stroke="#f5f1e3" d="M22 16h1M29 16h1M21 17h1M30 17h1M21 18h1M27 18h4M22 19h5" /> <path stroke="#f5b3a5" d="M17 17h3M32 17h2M17 18h2M32 18h2M17 19h1M33 19h1" /> <path stroke="#e79e8e" d="M18 26h2M31 26h2" /> <path stroke="#838383" d="M11 36h3M36 36h3M10 37h3M37 37h3M10 38h5M36 38h4M11 39h6M35 39h4M12 40h6M32 40h6M14 41h22" /> <path stroke="#676767" d="M13 37h2M35 37h2M15 38h2M34 38h2M17 39h2M32 39h3M18 40h14" /> 383838" d="M41 38h9" /> <path stroke="#006ccd" d="M10 40h1M10 41h2M11 42h3M12 43h3M13 44h1" /> <path stroke="#004b8e" d="M39 40h1M38 41h2M36 42h3M32 43h6M31 44h6" /> <path stroke="#005fb6" d="M15 43h17M14 44h17" /> text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 (((((((((((((((((((((((((((((((((((((((((((((((((( text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #043</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Orange, White</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meow</meow:Message> <path stroke="#cadb96" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0M 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h16M19 15h13M35 15h15M0 16h15M21 16h9M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h16M35 28h15M0 29h16M35 29h15M0 30h17M34 30h16M0 31h19M32 31h18M0 32h15M17 32h3M31 32h19M0 33h14M18 33h1M32 33h18M0 34h14M18 34h1M32 34h18M0 35h15M33 35h17M0 36h16M33 36h17M0 37h17M33 37h17M0 38h18M32 38h18M0 39h20M31 M 39h19M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 15h3M32 15h3M15 16h1M19 16h2M30 16h2M35 16h1M15 17h1M21 17h9M35 17h1M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M18 19h1M32 19h1M35 19h1M15 20h1M17 20h1M33 20h1M35 20h1M15 21h2M34 21h2M16 22h1M34 22h1M15 23h1M20 23h2M29 23h2M35 23h1M15 24h1M20 24h2M28 24h1M31 24h1M35 24h1M15 25h1M35 25h1M15 26h1M23 26h1M25 26h1M27 26h1M35 26h1M15 27h1M24 27h1M26 27h1M35 27h1M16 28h1M34 28h1M16 29h1M34 29h1M17 30h2M32M 30h2M19 31h2M30 31h2M15 32h2M20 32h1M30 32h1M14 33h1M17 33h1M19 33h1M31 33h1M14 34h1M17 34h1M19 34h1M31 34h1M15 35h1M18 35h1M32 35h1M16 36h1M18 36h1M32 36h1M17 37h2M32 37h1M18 38h2M21 38h1M23 38h1M27 38h1M29 38h1M31 38h1M20 39h11" /> <path stroke="#fe9800" d="M16 16h3M16 17h1M20 17h1M16 18h1M21 18h1M16 19h1M19 19h2M16 20h1M18 20h3M17 21h3M30 21h4M17 22h1M29 22h5M16 23h2M31 23h4M29 24h2M32 24h3M30 25h5M33 26h2M15 33h2M27 33h1M30 33h1M15 34h1M26 34h2M30 34h1M30 35h2M22 37h2M22 38h1M24 38h1" /> <path stroke="#fffffM f" d="M32 16h3M30 17h1M34 17h1M22 18h8M34 18h1M21 19h11M34 19h1M21 20h12M34 20h1M20 21h10M18 22h2M22 22h7M18 23h1M23 23h6M16 24h3M23 24h5M16 25h4M22 25h8M16 26h2M20 26h3M24 26h1M26 26h1M28 26h3M16 27h8M25 27h1M27 27h8M17 28h17M17 29h17M19 30h13M21 31h9M21 32h9M20 33h7M28 33h2M16 34h1M20 34h6M28 34h2M16 35h2M19 35h11M17 36h1M19 36h13M19 37h3M24 37h8M20 38h1M25 38h2M28 38h1M30 38h1" /> <path stroke="#ffd0d1" d="M17 17h3M31 17h3M17 18h2M32 18h2M17 19h1M33 19h1" /> <path stroke="#8f8f00" d="M20 22h2M19 23h1M22 23h1M1LQ9 24h1M22 24h1M20 25h2" /> <path stroke="#ffacae" d="M18 26h2M31 26h2" /> text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #052</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Grey, White</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meow</meow:Message> <path stroke="#85664c" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 7M h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h50M0 16h20M31 16h19M0 17h18M33 17h17M0 18h17M34 18h16M0 19h15M36 19h14M0 20h14M37 20h13M0 21h13M38 21h12M0 22h14M37 22h13M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h14M37 26h13M0 27h13M38 27h12M0 28h14M37 28h13M0 29h14M37 29h13M0 30h15M36 30h14M0 31h16M35 31h15M0 32h18M33 32h17M0 33h20M31 33h19M0 34h19M32 34h18M0 35h13M15 35h4M32 35h18M0 36h13M16 36h2M33 36h17M0 37h13M33 37h17M0 38h14M33 38h17M0 39h15M32 39h18M0 40h20M31 40h19M0 41h50M0 42hM 50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M20 16h11M18 17h2M31 17h2M17 18h1M33 18h1M15 19h2M34 19h2M14 20h1M36 20h1M13 21h1M17 21h1M33 21h1M37 21h1M14 22h3M29 22h3M34 22h3M15 23h1M20 23h2M28 23h1M32 23h1M35 23h1M15 24h1M19 24h1M22 24h1M35 24h1M15 25h1M24 25h3M35 25h1M14 26h1M25 26h1M36 26h1M13 27h1M37 27h1M14 28h1M36 28h1M14 29h1M36 29h1M15 30h1M35 30h1M16 31h2M33 31h2M18 32h3M30 32h3M20 33h1M30 33h1M19 34h1M31 34h1M13 35h2M19 35h1M31 35h1M13 36h1M15 36h1M18 36h1M32 3M 6h1M13 37h1M16 37h3M32 37h1M14 38h1M18 38h1M32 38h1M15 39h5M21 39h1M23 39h1M27 39h1M29 39h1M31 39h1M20 40h11" /> <path stroke="#ebebeb" d="M20 17h11M20 18h11M19 19h13M18 20h15M18 21h15M17 22h9M27 22h2M32 22h2M16 23h4M22 23h3M26 23h2M33 23h2M16 24h3M20 24h2M23 24h1M27 24h2M32 24h3M16 25h8M27 25h2M32 25h3M15 26h3M20 26h5M26 26h5M33 26h3M14 27h23M15 28h21M15 29h21M16 30h19M18 31h15M21 32h9M21 33h9M20 34h11M20 35h11M19 36h13M19 37h13M17 38h1M19 38h13M24 39h3" /> <path stroke="#7b7b7b" d="M18 18h2M31 18h2M17 19h2M32 1Mv 9h2M15 20h3M33 20h3M14 36h1M14 37h2M15 38h2M20 39h1M22 39h1M28 39h1M30 39h1" /> <path stroke="#ffc8ca" d="M14 21h3M34 21h3" /> <path stroke="#939393" d="M26 22h1M25 23h1M24 24h3" /> <path stroke="#7ecde8" d="M29 23h1M31 23h1M29 24h3" /> <path stroke="#ffffff" d="M30 23h1" /> <path stroke="#4cafd0" d="M29 25h3" /> <path stroke="#ffa1a4" d="M18 26h2M31 26h2" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #012</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>White</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meow</meow:Message> <path stroke="#ac7b50" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 7h50M0 M 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h50M0 16h20M31 16h19M0 17h18M33 17h17M0 18h17M34 18h16M0 19h15M36 19h14M0 20h14M37 20h13M0 21h13M38 21h12M0 22h14M37 22h13M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h14M37 26h13M0 27h13M38 27h12M0 28h14M37 28h13M0 29h14M37 29h13M0 30h15M36 30h14M0 31h16M35 31h15M0 32h18M33 32h17M0 33h20M31 33h19M0 34h19M32 34h18M0 35h19M32 35h18M0 36h18M33 36h17M0 37h16M33 37h17M0 38h16M33 38h17M0 39h16M32 39h18M0 40h20M31 40h19M0 41h50M0 42h50M0 43h50M0 44h50M0 4M 5h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M20 16h11M18 17h2M31 17h2M17 18h1M33 18h1M15 19h2M34 19h2M14 20h1M36 20h1M13 21h1M17 21h1M33 21h1M37 21h1M14 22h3M29 22h3M34 22h3M15 23h1M20 23h2M28 23h1M32 23h1M35 23h1M15 24h1M19 24h1M22 24h1M35 24h1M15 25h1M25 25h1M35 25h1M14 26h1M24 26h3M36 26h1M13 27h1M37 27h1M14 28h1M36 28h1M14 29h1M36 29h1M15 30h1M35 30h1M16 31h2M33 31h2M18 32h3M30 32h3M20 33h1M30 33h1M19 34h1M31 34h1M19 35h1M31 35h1M18 36h1M32 36h1M16 37h3M32 37h1M16 38h1M18 38h1M32 38h1M16M 39h4M21 39h1M23 39h1M27 39h1M29 39h1M31 39h1M20 40h11" /> <path stroke="#ffffff" d="M20 17h11M18 18h15M17 19h17M15 20h21M18 21h15M17 22h12M32 22h2M16 23h4M22 23h6M30 23h1M33 23h2M16 24h3M20 24h2M23 24h6M32 24h3M16 25h9M26 25h3M32 25h3M15 26h3M20 26h4M27 26h4M33 26h3M14 27h23M15 28h21M15 29h21M16 30h19M18 31h15M21 32h9M21 33h9M20 34h1M22 34h1M24 34h3M28 34h1M30 34h1M20 35h2M23 35h1M25 35h1M27 35h1M29 35h2M19 36h6M26 36h6M19 37h13M17 38h1M19 38h13M20 39h1M22 39h1M24 39h3M28 39h1M30 39h1" /> <path stroke="#ffc8ca" M d="M14 21h3M34 21h3" /> <path stroke="#ffd94a" d="M29 23h1M31 23h1M29 24h3" /> <path stroke="#ffe898" d="M29 25h3" /> <path stroke="#ffa1a4" d="M18 26h2M31 26h2" /> <path stroke="#dedede" d="M21 34h1M23 34h1M27 34h1M29 34h1M22 35h1M24 35h1M26 35h1M28 35h1M25 36h1" /> text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #014</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>White</meow:Skin> <meow:Eyes>Tired</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>...</meow:Message> <path stroke="#62ffc6" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 7h50M0 M 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h50M0 16h16M19 16h13M35 16h15M0 17h15M21 17h9M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h15M36 22h14M0 23h16M35 23h15M0 24h15M36 24h14M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h15M36 28h14M0 29h16M35 29h15M0 30h16M35 30h15M0 31h17M34 31h16M0 32h19M32 32h18M0 33h13M16 33h3M32 33h18M0 34h13M17 34h1M33 34h17M0 35h14M33 35h17M0 36h15M33 36h17M0 37h16M32 37h18M0 38h20M31 38h19M0 39h50M0 40h50M0 41h50M0 42h50M0 43M h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 16h3M32 16h3M15 17h1M19 17h2M30 17h2M35 17h1M15 18h1M21 18h9M35 18h1M15 19h1M19 19h2M30 19h2M35 19h1M15 20h1M18 20h1M32 20h1M35 20h1M15 21h1M17 21h1M33 21h1M35 21h1M15 22h2M34 22h2M16 23h1M34 23h1M15 24h1M19 24h4M28 24h4M35 24h1M15 25h1M21 25h2M30 25h2M35 25h1M15 26h1M24 26h1M26 26h1M35 26h1M15 27h1M25 27h1M35 27h1M15 28h1M35 28h1M16 29h1M34 29h1M16 30h1M34 30h1M17 31h2M32 31h2M19 32h2M30 32h2M13 33h3M19 33h1M31 33h1M13 34h1M16 3M 4h1M18 34h1M32 34h1M14 35h1M16 35h3M32 35h1M15 36h1M18 36h1M22 36h2M27 36h2M32 36h1M16 37h4M24 37h1M26 37h1M31 37h1M20 38h11" /> <path stroke="#ffffff" d="M16 17h3M32 17h3M16 18h1M20 18h1M30 18h1M34 18h1M16 19h1M21 19h9M34 19h1M16 20h1M19 20h13M34 20h1M16 21h1M18 21h15M34 21h1M17 22h17M17 23h17M16 24h3M23 24h5M32 24h3M16 25h5M23 25h7M32 25h3M16 26h8M27 26h8M16 27h2M20 27h5M26 27h5M33 27h2M16 28h19M17 29h17M17 30h17M19 31h13M21 32h9M20 33h11M14 34h2M19 34h13M15 35h1M19 35h13M16 36h2M19 36h3M24 36h3M29 36h3M20 37h4ML <path stroke="#ffc0a8" d="M17 18h3M31 18h3M17 19h2M32 19h2M17 20h1M33 20h1" /> <path stroke="#ffc0a0" d="M25 26h1" /> <path stroke="#ffc6c8" d="M18 27h2M31 27h2" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #065</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Lightgrey, White</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meeeeooowwwwww</meow:Message> <path stroke="#a3a4dd" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 M 5h50M0 6h50M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h50M0 16h50M0 17h16M19 17h13M35 17h15M0 18h15M21 18h9M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h15M36 22h14M0 23h15M36 23h14M0 24h16M35 24h15M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h15M36 28h14M0 29h15M36 29h14M0 30h16M35 30h15M0 31h16M35 31h15M0 32h17M34 32h16M0 33h19M32 33h18M0 34h19M32 34h18M0 35h18M33 35h17M0 36h17M33 36h17M0 37h16M33 37h17M0 38h16M32 38h18M0 39h20M31 39h19M0 40h50M0 41h50M0 42h50M M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 17h3M32 17h3M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M21 19h9M35 19h1M15 20h1M19 20h2M30 20h2M35 20h1M15 21h1M18 21h1M32 21h1M35 21h1M15 22h1M17 22h1M33 22h1M35 22h1M15 23h2M34 23h2M16 24h1M34 24h1M15 25h1M20 25h2M29 25h1M35 25h1M15 26h1M20 26h2M28 26h1M30 26h1M35 26h1M15 27h1M25 27h1M35 27h1M15 28h1M24 28h3M35 28h1M15 29h1M35 29h1M16 30h1M34 30h1M16 31h1M34 31h1M17 32h2M32 32h2M19 33h2M30 33h2M19 34h1M31 34h1M18 35h1M32 35h1M M17 36h2M32 36h1M16 37h1M18 37h1M22 37h2M27 37h2M32 37h1M16 38h4M24 38h1M26 38h1M31 38h1M20 39h11" /> <path stroke="#ffffff" d="M16 18h3M16 19h1M20 19h1M16 20h1M21 20h5M16 21h1M19 21h7M16 22h1M18 22h8M17 23h9M17 24h3M22 24h4M16 25h3M23 25h3M16 26h3M23 26h3M16 27h4M22 27h3M16 28h2M20 28h4M16 29h10M17 30h9M17 31h9M19 32h7M21 33h3M20 34h3M19 35h2M19 36h2M17 37h1M19 37h3M20 38h4" /> <path stroke="#b2b2b2" d="M32 18h3M30 19h1M34 19h1M26 20h4M34 20h1M26 21h6M34 21h1M26 22h7M34 22h1M26 23h8M26 24h8M26 25h3M30 25h5M26 26Mg h2M29 26h1M31 26h4M26 27h9M27 28h4M33 28h2M26 29h9M26 30h8M26 31h8M26 32h6M24 33h6M23 34h8M21 35h11M21 36h11M24 37h3M29 37h3M25 38h1M27 38h4" /> <path stroke="#ffcfc6" d="M17 19h3M31 19h3M17 20h2M32 20h2M17 21h1M33 21h1" /> <path stroke="#95ac4c" d="M20 24h2M19 25h1M22 25h1M19 26h1M22 26h1M20 27h2" /> <path stroke="#ffc0b4" d="M18 28h2M31 28h2" /> text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #016</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>White (Shiny)</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>Fast food restaurant worker hat and microphone</meow:Gear> <meow:Message>Meowcome to nekodonalds, how may I help you?</meow:Message> <path stroke="#a29c94" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h21M29 13h21M0 14h15M18 14h2M30 14h2M35 14h15M0 15h14M36 15h14M0 16h14M36 16h14M0 17h14M36 17h14M0 18h14M36 18h14M0 19h14M36 19h14M0 20h15M35 20h15M0 21h15M35 21h15M0 22h14M36 22h14M0 23h14M36 23h14M0 24h13M37 24h13M0 25h12M38 25h12M0 26h13M37 26h13M0 27h12M38 27h12M0 28h13M37 28h13M0 29h14M36 29h14M0 30h15M35 30h15M0 31h17M33 31h17M0 32h14M16 32h3M31 32h19M0 33h13M17 33h1M32 33h18M0 34hM 13M17 34h1M32 34h18M0 35h14M33 35h17M0 36h15M33 36h17M0 37h16M33 37h17M0 38h17M32 38h18M0 39h19M31 39h19M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M21 13h8M15 14h3M20 14h1M29 14h1M32 14h3M14 15h1M18 15h3M29 15h3M35 15h1M14 16h1M20 16h1M29 16h1M35 16h1M14 17h1M18 17h14M35 17h1M14 18h1M17 18h1M21 18h1M30 18h1M32 18h1M35 18h1M14 19h1M16 19h1M22 19h8M33 19h1M35 19h1M15 20h1M34 20h1M15 21h1M34 21h1M14 22h1M19 22h3M29 22h3M35 22h1M14 23h1M18 23h1M22 23hM 1M28 23h1M32 23h1M35 23h1M13 24h1M36 24h1M12 25h1M24 25h1M26 25h1M37 25h1M13 26h1M25 26h1M36 26h1M12 27h1M37 27h1M13 28h1M36 28h1M14 29h1M35 29h1M15 30h2M33 30h2M17 31h3M30 31h3M14 32h2M19 32h1M30 32h1M13 33h1M16 33h1M18 33h1M31 33h1M13 34h1M16 34h1M18 34h1M31 34h1M14 35h1M17 35h1M32 35h1M15 36h1M17 36h1M32 36h1M16 37h2M32 37h1M17 38h2M20 38h1M22 38h1M27 38h1M29 38h1M31 38h1M19 39h12" /> <path stroke="#b90010" d="M21 14h8M21 15h3M27 15h2M21 16h3M25 16h1M27 16h2M22 18h8M20 31h3M25 31h1M20 32h3M25 32h1" /> roke="#ffffff" d="M15 15h3M32 15h3M15 16h1M19 16h1M30 16h1M34 16h1M15 17h1M34 17h1M15 18h1M18 18h3M31 18h1M34 18h1M15 19h1M17 19h5M30 19h3M34 19h1M16 20h18M16 21h18M16 22h3M22 22h7M32 22h3M16 23h2M20 23h1M23 23h5M30 23h1M33 23h2M14 24h1M16 24h3M22 24h7M32 24h4M13 25h2M16 25h2M22 25h2M25 25h1M27 25h2M33 25h4M14 26h1M16 26h2M20 26h5M26 26h5M33 26h3M13 27h3M17 27h3M23 27h14M14 28h3M23 28h13M15 29h5M23 29h12M17 30h16M14 33h2M19 33h12M14 34h2M19 34h12M15 35h2M18 35h14M16 36h1M18 36h14M18 37h14M19 38h1M21 38h1M23 38h4M28M <path stroke="#ffce00" d="M24 15h3M24 16h1M26 16h1" /> <path stroke="#ffd4c6" d="M16 16h3M31 16h3M16 17h2M32 17h2M16 18h1M33 18h1" /> <path stroke="#3f3f3f" d="M15 22h1M15 23h1M15 24h1M15 25h1M15 26h1M16 27h1M20 27h1M17 28h5M20 29h2" /> <path stroke="#f7bf04" d="M19 23h1M21 23h1M19 24h3" /> <path stroke="#45bff5" d="M29 23h1M31 23h1M29 24h3" /> <path stroke="#ffb2a2" d="M18 25h1M32 25h1M18 26h2M31 26h2" /> <path stroke="#fece4e" d="M19 25h3" /> <path stroke="#6dd1ff" d="M29 25h3" /> <pathLx stroke="#2a2a2a" d="M21 27h2M22 28h1M22 29h1" /> <path stroke="#ad000c" d="M23 31h2M26 31h4M23 32h2M26 32h4" /> text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #060</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Lightgrey, White (Shiny)</meow:Skin> <meow:Eyes>Tired</meow:Eyes> <meow:Gear>Rudolf Christmas Costume</meow:Gear> <meow:Message>Merry Chirstmas</meow:Message> <path stroke="#882f69" d="M0 0h50MM 0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h14M18 6h32M0 7h14M18 7h14M35 7h15M0 8h15M20 8h12M35 8h15M0 9h11M14 9h1M21 9h8M35 9h15M7 10h4M14 10h2M21 10h8M34 10h2M37 10h6M9 11h2M20 11h10M34 11h1M37 11h4M10 12h2M22 12h5M37 12h3M10 13h3M22 13h6M35 13h5M11 14h4M21 14h7M33 14h6M11 15h7M22 15h5M31 15h8M11 16h8M22 16h5M30 16h9M11 17h4M23 17h4M30 17h2M35 17h4M11 18h3M36 18h3M11 19h3M36 19h3M11 20h4M36 20h3M11 21h4M36 21h3M11 22h4M36 22h3M11 23h4M36 23h3M11 24h5M35 24h4M11 25h4M36 25h3M11 26h4M36 26h3M11 27h4M36 27h3M11 28h4M36 2M 8h3M11 29h4M36 29h3M11 30h5M35 30h4M0 31h16M35 31h2M38 31h12M0 32h17M34 32h2M39 32h11M0 33h19M32 33h3M39 33h11M0 34h19M32 34h4M40 34h10M0 35h18M33 35h2M39 35h1M41 35h9M0 36h17M33 36h3M38 36h1M43 36h7" /> <path stroke="#2c2626" d="M14 6h4M14 7h1M17 7h1M32 7h3M15 8h1M18 8h2M32 8h1M34 8h1M11 9h3M15 9h1M20 9h1M29 9h3M34 9h1M11 10h1M13 10h1M16 10h1M20 10h1M29 10h1M33 10h1M36 10h1M11 11h1M14 11h2M19 11h1M30 11h1M33 11h1M35 11h2M12 12h1M19 12h3M27 12h3M34 12h3M13 13h2M21 13h1M28 13h1M33 13h2M15 14h3M20 14h1M28 14h1M31 14M h2M18 15h1M21 15h1M27 15h1M30 15h1M19 16h1M21 16h1M27 16h1M29 16h1M15 17h3M19 17h1M22 17h1M27 17h1M29 17h1M33 17h2M14 18h1M18 18h1M20 18h1M22 18h6M29 18h1M31 18h2M35 18h1M14 19h1M19 19h1M29 19h2M35 19h1M15 20h1M22 20h6M34 20h1M16 21h2M20 21h2M28 21h2M33 21h1M17 22h1M19 22h1M30 22h1M32 22h1M17 23h2M31 23h2" /> <path stroke="#6f442a" d="M15 7h2M16 8h2M33 8h1M16 9h4M32 9h2M12 10h1M17 10h3M30 10h3M12 11h2M16 11h3M31 11h2M13 12h6M30 12h4M15 13h6M29 13h4M18 14h2M29 14h2M19 15h2M28 15h2M20 16h1M28 16h1M20 17h2M28 17h1M21M <path stroke="#9c0000" d="M0 10h7M43 10h7M1 11h1M6 11h3M41 11h3M48 11h1M1 12h1M8 12h2M40 12h2M48 12h1M1 13h1M9 13h1M40 13h1M48 13h1M1 14h1M9 14h2M39 14h2M48 14h1M1 15h1M10 15h1M39 15h1M48 15h1M1 16h1M10 16h1M39 16h1M48 16h1M0 17h11M39 17h11M1 18h1M10 18h1M39 18h1M48 18h1M1 19h1M10 19h1M39 19h1M48 19h1M1 20h1M10 20h1M39 20h1M48 20h1M1 21h1M10 21h1M39 21h1M48 21h1M1 22h1M10 22h1M39 22h1M48 22h1M1 23h1M10 23h1M39 23h1M48 23h1M1 24h1M10 24h1M39 24h1M48 24h1M1 25h1M10 25h1M39 25h1M48 25h1M1 26h1M10 26M h1M39 26h1M48 26h1M1 27h1M10 27h1M39 27h1M48 27h1M1 28h1M10 28h1M39 28h1M48 28h1M1 29h1M9 29h2M39 29h2M48 29h1M0 30h11M39 30h11" /> <path stroke="#374b7e" d="M0 11h1M3 11h3M44 11h4M49 11h1M0 12h1M2 12h6M42 12h4M47 12h1M0 13h1M2 13h4M7 13h2M41 13h7M49 13h1M0 14h1M2 14h7M41 14h2M44 14h4M49 14h1M0 15h1M3 15h7M40 15h8M49 15h1M0 16h1M2 16h8M40 16h6M47 16h1M49 16h1M0 18h1M2 18h8M40 18h1M42 18h5M0 19h1M2 19h6M9 19h1M42 19h5M49 19h1M0 20h1M3 20h7M40 20h1M42 20h4M49 20h1M0 21h1M2 21h8M40 21h1M43 21h2M47 21h1M49 21h1M8 22h2M M41 22h1M43 22h2M46 22h2M49 22h1" /> <path stroke="#ffffff" d="M2 11h1M46 12h1M49 12h1M6 13h1M43 14h1M2 15h1M46 16h1M49 18h1M8 19h1M2 20h1M22 21h6M0 22h1M2 22h6M16 22h1M20 22h10M40 22h1M0 23h1M2 23h8M19 23h12M33 23h1M40 23h2M46 23h2M49 23h1M0 24h1M2 24h8M17 24h17M49 24h1M0 25h1M2 25h8M16 25h3M23 25h12M40 25h1M47 25h1M49 25h1M0 26h1M2 26h8M16 26h2M24 26h4M32 26h3M40 26h2M0 27h1M2 27h8M16 27h2M24 27h1M26 27h2M30 27h5M40 27h2M0 28h1M2 28h8M16 28h3M23 28h1M27 28h3M32 28h3M40 28h3M45 28h2M0 29h1M2 29h7M16 29h19M41 29h6M M17 30h17M17 31h17M19 32h13M21 33h9M20 34h3M28 34h2M20 35h4M27 35h3M20 36h5M26 36h5M17 37h1M24 37h3M29 37h3M25 38h1M27 38h4" /> <path stroke="#000000" d="M18 17h1M32 17h1M19 18h1M30 18h1M35 20h1M15 21h1M35 21h1M15 22h1M33 22h1M35 22h1M15 23h2M34 23h2M16 24h1M34 24h1M15 25h1M35 25h1M42 25h1M45 25h1M15 26h1M19 26h4M28 26h4M35 26h1M15 27h1M19 27h2M25 27h1M28 27h2M35 27h1M15 28h1M24 28h3M35 28h1M15 29h1M35 29h1M16 30h1M34 30h1M16 31h1M34 31h1M37 31h1M17 32h2M32 32h2M36 32h1M38 32h1M19 33h2M30 33h2M35 33h1M38 33h1M19 3M 4h1M31 34h1M36 34h1M39 34h1M18 35h1M32 35h1M35 35h1M38 35h1M40 35h1M17 36h2M32 36h1M36 36h2M39 36h1M41 36h2M16 37h1M18 37h1M22 37h2M27 37h2M32 37h1M35 37h1M38 37h1M43 37h1M16 38h4M24 38h1M26 38h1M31 38h1M35 38h1M38 38h1M40 38h1M42 38h1M20 39h11M36 39h2M39 39h1M41 39h1" /> <path stroke="#d69c51" d="M15 18h3M33 18h2M15 19h4M31 19h4M16 20h3M31 20h3M32 21h1" /> <path stroke="#593420" d="M41 18h1M47 18h1M40 19h2M47 19h1M41 20h1M46 20h2M41 21h2M45 21h2M42 22h1M45 22h1" /> <path stroke="#b20f16" d="M20 19h9M19 20h3M28 M 20h3M18 21h2M30 21h2M18 22h1M31 22h1" /> <path stroke="#a3a3a3" d="M34 21h1M34 22h1M19 25h4M18 26h1M23 26h1M18 27h1M21 27h3M21 28h2M30 34h1M19 35h1M30 35h2M19 36h1M31 36h1M19 37h3M20 38h4" /> <path stroke="#9c684c" d="M42 23h4M40 24h8M41 25h1M43 25h2M46 25h1M42 26h6M49 26h1M42 27h1M45 27h3M49 27h1M47 28h1M49 28h1M47 29h1M49 29h1" /> <path stroke="#dd000d" d="M43 27h2M43 28h2M36 37h2M36 38h2" /> <path stroke="#ffc0b4" d="M19 28h2M30 28h2" /> <path stroke="#146117" d="M37 32h1M36 33h2M37 34h2M36 35h2M40 36h1M39 M 37h4M39 38h1M41 38h1" /> <path stroke="#c6c6c6" d="M23 34h5M24 35h3M25 36h1" /> <path stroke="#b34a8e" d="M0 37h16M33 37h2M44 37h6M0 38h16M33 38h2M43 38h7M0 39h15M33 39h1M45 39h5M0 40h17M32 40h3M44 40h6M0 41h18M31 41h5M43 41h7M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#7b3361" d="M32 38h1M15 39h5M31 39h2M34 39h2M38 39h1M40 39h1M42 39h3M17 40h15M35 40h9M18 41h13M36 41h7" /> text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #022</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Black</meow:Skin> <meow:Eyes>Tired</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meeeeooowwwwww</meow:Message> <path stroke="#5c5c74" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h5M 0M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h16M19 15h13M35 15h15M0 16h15M21 16h9M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h16M35 28h15M0 29h16M35 29h15M0 30h17M34 30h16M0 31h19M32 31h18M0 32h20M31 32h19M0 33h19M32 33h18M0 34h19M32 34h18M0 35h14M17 35h1M33 35h17M0 36h14M33 36h17M0 37h15M33 37h17M0 38h16M32 38h18M0 39h20M31 39h19M0 40h50M M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 15h3M32 15h3M15 16h1M19 16h2M30 16h2M35 16h1M15 17h1M21 17h9M35 17h1M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M18 19h1M32 19h1M35 19h1M15 20h1M17 20h1M33 20h1M35 20h1M15 21h2M34 21h2M16 22h1M34 22h1M15 23h1M35 23h1M15 24h1M19 24h4M28 24h4M35 24h1M15 25h1M20 25h2M29 25h2M35 25h1M15 26h1M23 26h1M25 26h1M27 26h1M35 26h1M15 27h1M24 27h1M26 27h1M35 27h1M16 28h1M34 28h1M16 29h1M34 29h1M17 30h2M32 30h2M19 31h2M30 31h2M M20 32h1M30 32h1M19 33h1M31 33h1M19 34h1M31 34h1M14 35h3M18 35h1M32 35h1M14 36h1M17 36h2M32 36h1M15 37h1M18 37h1M32 37h1M16 38h4M21 38h1M23 38h1M27 38h1M29 38h1M31 38h1M20 39h11" /> <path stroke="#2c2c2c" d="M16 16h3M32 16h3M16 17h1M20 17h1M30 17h1M34 17h1M16 18h1M21 18h9M34 18h1M16 19h1M19 19h13M34 19h1M16 20h1M18 20h15M34 20h1M17 21h17M17 22h17M16 23h19M16 24h3M23 24h5M32 24h3M16 25h4M22 25h7M31 25h4M16 26h2M20 26h3M28 26h3M33 26h2M16 27h8M25 27h1M27 27h8M17 28h17M17 29h17M19 30h13M21 31h9M21 32h9M20 33h11M20 34M h11M19 35h13M15 36h2M19 36h13M16 37h2M19 37h13M20 38h1M22 38h1M24 38h3M28 38h1M30 38h1" /> <path stroke="#ffbdbe" d="M17 17h3M31 17h3M17 18h2M32 18h2M17 19h1M33 19h1" /> <path stroke="#ffabad" d="M18 26h2M31 26h2" /> <path stroke="#3d3d3d" d="M24 26h1M26 26h1" /> text/plain;charset=utf-8 text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #019</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Black</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Nya</meow:Message> <path stroke="#4788a8" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 7h50M0 8M h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h50M0 16h20M31 16h19M0 17h18M33 17h17M0 18h17M34 18h16M0 19h15M36 19h14M0 20h14M37 20h13M0 21h13M38 21h12M0 22h14M37 22h13M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h14M37 26h13M0 27h13M38 27h12M0 28h14M37 28h13M0 29h14M37 29h13M0 30h15M36 30h14M0 31h16M35 31h15M0 32h18M33 32h17M0 33h20M31 33h19M0 34h19M32 34h18M0 35h13M15 35h4M32 35h18M0 36h13M16 36h2M33 36h17M0 37h13M33 37h17M0 38h14M33 38h17M0 39h15M32 39h18M0 40h20M31 40h19M0 41h50M0 42h50M0 43M h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M20 16h11M18 17h2M31 17h2M17 18h1M33 18h1M15 19h2M34 19h2M14 20h1M36 20h1M13 21h1M17 21h1M33 21h1M37 21h1M14 22h3M29 22h3M34 22h3M15 23h1M20 23h2M28 23h1M32 23h1M35 23h1M15 24h1M19 24h1M22 24h1M35 24h1M15 25h1M25 25h1M35 25h1M14 26h1M24 26h3M36 26h1M13 27h1M37 27h1M14 28h1M36 28h1M14 29h1M36 29h1M15 30h1M35 30h1M16 31h2M33 31h2M18 32h3M30 32h3M20 33h1M30 33h1M19 34h1M31 34h1M13 35h2M19 35h1M31 35h1M13 36h1M15 36h1M18 36h1M32 36h1M13 M 37h1M16 37h3M32 37h1M14 38h1M18 38h1M32 38h1M15 39h5M21 39h1M23 39h1M27 39h1M29 39h1M31 39h1M20 40h11" /> <path stroke="#2c2c2c" d="M20 17h11M18 18h15M17 19h17M15 20h21M18 21h15M17 22h12M32 22h2M16 23h4M22 23h6M33 23h2M16 24h3M20 24h2M23 24h6M32 24h3M16 25h9M26 25h3M32 25h3M15 26h3M20 26h4M27 26h4M33 26h3M14 27h23M15 28h21M15 29h21M16 30h19M18 31h15M21 32h9M21 33h9M20 34h3M24 34h3M28 34h3M20 35h4M25 35h1M27 35h4M14 36h1M19 36h6M26 36h6M14 37h2M19 37h13M15 38h3M19 38h13M20 39h1M22 39h1M24 39h3M28 39h1M30 39h1" /> <path stroke="#ffc8ca" d="M14 21h3M34 21h3" /> <path stroke="#00d54d" d="M29 23h1M31 23h1M29 24h3" /> <path stroke="#ffffff" d="M30 23h1" /> <path stroke="#38ee78" d="M29 25h3" /> <path stroke="#ffa1a4" d="M18 26h2M31 26h2" /> <path stroke="#3e3e3e" d="M23 34h1M27 34h1M24 35h1M26 35h1M25 36h1" /> text/plain;charset=utf-8 text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #047</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Orange, White</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Nya</meow:Message> <path stroke="#93dbb1" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 M 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h50M0 16h50M0 17h16M19 17h13M35 17h15M0 18h15M21 18h9M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h15M36 22h14M0 23h15M36 23h14M0 24h16M35 24h15M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h15M36 28h14M0 29h15M36 29h14M0 30h16M35 30h15M0 31h16M35 31h15M0 32h17M34 32h16M0 33h19M32 33h18M0 34h19M32 34h18M0 35h18M33 35h17M0 36h17M33 36h17M0 37h16M33 37h17M0 38h16M32 38h18M0 39h20M31 39h19M0 40h50M0 41h50M0 42h50M0 43h50M0 44hM 50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 17h3M32 17h3M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M21 19h9M35 19h1M15 20h1M19 20h2M30 20h2M35 20h1M15 21h1M18 21h1M32 21h1M35 21h1M15 22h1M17 22h1M33 22h1M35 22h1M15 23h2M34 23h2M16 24h1M34 24h1M15 25h1M20 25h2M29 25h1M35 25h1M15 26h1M20 26h2M28 26h1M30 26h1M35 26h1M15 27h1M25 27h1M35 27h1M15 28h1M24 28h3M35 28h1M15 29h1M35 29h1M16 30h1M34 30h1M16 31h1M34 31h1M17 32h2M32 32h2M19 33h2M30 33h2M19 34h1M31 34h1M18 35h1M32 35h1M17 36h2M32 36M h1M16 37h1M18 37h1M22 37h2M27 37h2M32 37h1M16 38h4M24 38h1M26 38h1M31 38h1M20 39h11" /> <path stroke="#ffffff" d="M16 18h1M32 18h3M16 19h1M30 19h1M16 20h1M21 20h5M16 21h1M19 21h7M16 22h1M18 22h8M17 23h9M17 24h3M22 24h4M16 25h3M23 25h3M16 26h3M23 26h3M16 27h4M22 27h3M16 28h2M20 28h4M16 29h10M17 30h9M17 31h9M19 32h7M21 33h5M20 34h6M19 35h7M19 36h7M17 37h1M19 37h3M24 37h2M29 37h2M20 38h4M25 38h1M27 38h4" /> <path stroke="#fe9800" d="M17 18h2M20 19h1M34 19h1M26 20h4M34 20h1M26 21h6M34 21h1M26 22h7M34 22h1M26 23h8M26 Mo 24h8M26 25h3M30 25h5M26 26h2M29 26h1M31 26h4M26 27h9M27 28h4M33 28h2M26 29h9M26 30h8M26 31h8M26 32h6M26 33h4M26 34h5M26 35h6M26 36h6M26 37h1M31 37h1" /> <path stroke="#ffcfc6" d="M17 19h3M31 19h3M17 20h2M32 20h2M17 21h1M33 21h1" /> <path stroke="#a1df00" d="M20 24h2M19 25h1M22 25h1M19 26h1M22 26h1M20 27h2" /> <path stroke="#ffc0b4" d="M18 28h2M31 28h2" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #038</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Orange</meow:Skin> <meow:Eyes>Closed</meow:Eyes> <meow:Gear>Ice cream with cherry on top</meow:Gear> <meow:Message>Meeeeooowwwwww</meow:Message> <path stroke="#e59aa8" d="M0 0h50M0 1h50M0 2h50MM 0 3h50M0 4h27M29 4h21M0 5h26M27 5h23M0 6h25M27 6h23M0 7h24M28 7h22M0 8h23M29 8h21M0 9h23M29 9h21M0 10h22M29 10h21M0 11h21M30 11h20M0 12h20M31 12h19M0 13h19M32 13h18M0 14h19M32 14h18M0 15h16M35 15h15M0 16h15M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h16M35 28h15M0 29h16M35 29h15M0 30h17M34 30h16M0 31h19M32 31h18M0 32h15M17 32h3M31 32h19M0 33h14M18 33h1M32 33h18M M0 34h14M18 34h1M32 34h18M0 35h15M33 35h17M0 36h16M33 36h17M0 37h17M33 37h17M0 38h18M32 38h18M0 39h20M31 39h19M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#4b240f" d="M27 4h2M26 5h1" /> <path stroke="#87201f" d="M25 6h2M24 7h1M27 7h1M23 8h1M28 8h1M23 9h1M28 9h1M24 10h1M27 10h1M25 11h2" /> <path stroke="#b3191a" d="M25 7h2M24 8h3M24 9h4M25 10h2" /> <path stroke="#e9e9e9" d="M27 8h1" /> <path stroke="#5d3723" d="M22 10h2M21 11h4M20 12h2M23 12h4M19 13h3M24 13hM 1M26 13h2M19 14h9M20 15h2M24 15h3M20 16h1M25 16h2M25 17h1" /> <path stroke="#502e1c" d="M28 10h1M27 11h3M27 12h4M28 13h4M28 14h4M28 15h4M29 16h1" /> <path stroke="#89573c" d="M22 12h1M22 13h2M25 13h1" /> <path stroke="#000000" d="M16 15h3M32 15h3M15 16h1M35 16h1M15 17h1M35 17h1M15 18h1M35 18h1M15 19h1M18 19h1M32 19h1M35 19h1M15 20h1M17 20h1M33 20h1M35 20h1M15 21h2M34 21h2M16 22h1M34 22h1M15 23h1M20 23h2M29 23h2M35 23h1M15 24h1M19 24h1M22 24h1M28 24h1M31 24h1M35 24h1M15 25h1M35 25h1M15 26h1M23 26h1M25 26h1M27 26hM 1M35 26h1M15 27h1M24 27h1M26 27h1M35 27h1M16 28h1M25 28h1M34 28h1M16 29h1M34 29h1M17 30h2M32 30h2M19 31h2M30 31h2M15 32h2M20 32h1M30 32h1M14 33h1M17 33h1M19 33h1M31 33h1M14 34h1M17 34h1M19 34h1M31 34h1M15 35h1M18 35h1M32 35h1M16 36h1M18 36h1M32 36h1M17 37h2M32 37h1M18 38h2M21 38h1M23 38h1M27 38h1M29 38h1M31 38h1M20 39h11" /> <path stroke="#e38b89" d="M19 15h1M19 16h1M31 16h1M19 17h1M31 17h1M19 18h1M31 18h1M20 19h1M30 19h1M20 20h2M29 20h1M22 21h7" /> <path stroke="#f4adab" d="M22 15h2M27 15h1M21 16h4M27 16h2M30 16M h1M20 17h5M26 17h5M20 18h11M21 19h9M22 20h7" /> <path stroke="#dd7f00" d="M16 16h3M32 16h3M16 17h1M34 17h1M16 18h1M34 18h1M16 19h1M19 19h1M31 19h1M34 19h1M16 20h1M18 20h2M32 20h1M34 20h1M17 21h2M33 21h1M17 22h1M33 22h1M16 23h1M34 23h1M16 24h1M34 24h1M24 32h3M16 33h1M20 33h2M23 33h5M29 33h2M16 34h1M23 34h5M17 35h1M19 35h2M23 35h5M30 35h2M23 36h5M24 37h3" /> <path stroke="#ffd0d1" d="M17 17h2M32 17h2M17 18h2M32 18h2M17 19h1M33 19h1" /> <path stroke="#fe9800" d="M30 20h2M19 21h3M29 21h4M18 22h15M17 23h3M22 23h7M31 M 23h3M17 24h2M20 24h2M23 24h5M29 24h2M32 24h2M16 25h2M20 25h11M33 25h2M16 26h7M24 26h1M26 26h1M28 26h7M16 27h8M27 27h8M17 28h8M26 28h8M17 29h17M19 30h13M21 31h9M21 32h3M27 32h3M15 33h1M22 33h1M28 33h1M15 34h1M20 34h3M28 34h3M16 35h1M21 35h2M28 35h2M17 36h1M19 36h4M28 36h4M19 37h5M27 37h5M20 38h1M22 38h1M24 38h3M28 38h1M30 38h1" /> <path stroke="#ffacae" d="M18 25h2M31 25h2" /> <path stroke="#dfb3a9" d="M25 27h1" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #035</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Orange</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Loves chicken</meow:Message> <path stroke="#a1a769" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h16M19 15h13M35 15h15M0 16h15M21 16h9M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h14M37 26h13M0 27h13M38 27h12M0 28h14M37 28h13M0 29h14M37 29h13M0 30h15M36 30h14M0 31h16M35 31h15M0 32h18M33 32h17M0 33h15M17 33h3M31 33h19M0 34h14M18 34h1M32 34h18M0 35h14M18 35h1M32 35h18M0 36h15M33 36h17M0 37h16M33 37h17M0 38h17M33 38h17M0 39h18M3M 2 39h18M0 40h20M31 40h19M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 15h3M32 15h3M15 16h1M19 16h2M30 16h2M35 16h1M15 17h1M21 17h9M35 17h1M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M18 19h1M32 19h1M35 19h1M15 20h1M17 20h1M33 20h1M35 20h1M15 21h2M34 21h2M16 22h1M19 22h3M34 22h1M15 23h1M18 23h1M22 23h1M29 23h2M35 23h1M15 24h1M28 24h1M31 24h1M35 24h1M15 25h1M24 25h3M35 25h1M14 26h1M25 26h1M36 26h1M13 27h1M37 27h1M14 28h1M36 28h1M14 29h1M36 29h1M15 30h1M35 30h1M M16 31h2M33 31h2M18 32h3M30 32h3M15 33h2M20 33h1M30 33h1M14 34h1M17 34h1M19 34h1M31 34h1M14 35h1M17 35h1M19 35h1M31 35h1M15 36h1M18 36h1M32 36h1M16 37h1M18 37h1M32 37h1M17 38h2M32 38h1M18 39h2M21 39h1M23 39h1M27 39h1M29 39h1M31 39h1M20 40h11" /> <path stroke="#f79100" d="M16 16h3M32 16h3M16 17h1M20 17h1M30 17h1M34 17h1M16 18h1M21 18h1M29 18h1M34 18h1M16 19h1M19 19h5M27 19h5M34 19h1M16 20h1M18 20h7M26 20h7M34 20h1M17 21h17M17 22h2M22 22h12M16 23h2M23 23h6M31 23h4M16 24h3M22 24h6M29 24h2M32 24h3M16 25h3M22 25h2M27 2M 5h8M15 26h3M20 26h5M26 26h5M33 26h3M15 27h21M16 28h19M17 29h17M18 30h15M20 31h10M21 32h9M21 33h9M16 34h1M22 34h7M16 35h1M22 35h7M17 36h1M21 36h9M20 37h11M20 38h11M24 39h3" /> <path stroke="#f5b3a5" d="M17 17h3M31 17h3M17 18h2M32 18h2M17 19h1M33 19h1" /> <path stroke="#d17700" d="M22 18h7M24 19h3M25 20h1M14 27h1M36 27h1M15 28h1M35 28h1M15 29h2M34 29h2M16 30h2M33 30h2M18 31h2M30 31h3M15 34h1M20 34h2M29 34h2M15 35h1M20 35h2M29 35h2M16 36h1M19 36h2M30 36h2M17 37h1M19 37h1M31 37h1M19 38h1M31 38h1M20 39h1M22 39h1M28 39L <path stroke="#98b866" d="M19 23h1M21 23h1M19 24h3" /> <path stroke="#ffffff" d="M20 23h1" /> <path stroke="#b3d57f" d="M19 25h3" /> <path stroke="#ffa174" d="M18 26h2M31 26h2" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #024</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Black (Shiny)</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>Magical broom and wizard hat</meow:Gear> <meow:Message>They kept calling me a taproot wizard, like wtf is that supposed to mean?</meow:Message> <path stroke="#8b6ea6" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 7h25M26 7h24M0 8h24M27 8h23M0 9h23M28 9h22M0 10h23M28 10h22M0 11h22M29 11h21M0 12h22M29 12h21M0 13h21M30 13h20M0 14h20M30 14h20M0 15h20M31 15h19M0 16h19M32 16h18M0 17h16M35 17h15M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h13M38 21h12M0 22h12M40 22h10M0 23h11M40 23h10M0 24h11M40 24h10M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h15M36 28h14M0 29h15M36 29h14M0 30h16M35 30h15M0 31h16M35 31h15M0 32h17M3M 4 32h16M0 33h19M32 33h18M0 34h19M32 34h18M0 35h18M33 35h17M0 36h14M17 36h1M33 36h6M45 36h5M0 37h13M33 37h5M46 37h4M0 38h13M32 38h4M47 38h3M0 39h9M48 39h2M0 40h9M49 40h1M0 41h9M48 41h2M0 42h36M47 42h3M0 43h38M46 43h4M0 44h39M45 44h5M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M25 7h1M24 8h3M23 9h2M26 9h2M23 10h1M27 10h1M22 11h2M27 11h2M22 12h1M28 12h1M21 13h1M28 13h2M20 14h2M29 14h1M20 15h1M29 15h2M19 16h2M30 16h2M16 17h4M31 17h4M15 18h1M19 18h1M30 18h3M35 18h1M15 19h1M19 19h1M30 19h1M35 1M 9h1M15 20h1M19 20h2M30 20h2M35 20h1M13 21h3M18 21h1M32 21h1M35 21h3M12 22h4M17 22h17M35 22h5M11 23h2M15 23h5M31 23h5M38 23h2M11 24h7M33 24h7M15 25h1M20 25h2M29 25h2M35 25h1M15 26h1M20 26h2M29 26h2M35 26h1M15 27h1M35 27h1M15 28h1M35 28h1M15 29h1M35 29h1M16 30h1M34 30h1M16 31h1M34 31h1M17 32h2M32 32h2M19 33h2M30 33h2M19 34h1M31 34h1M18 35h1M32 35h1M14 36h3M18 36h1M32 36h1M13 37h1M17 37h2M22 37h2M27 37h2M32 37h1M13 38h1M18 38h2M24 38h1M26 38h1M31 38h1M14 39h4M20 39h11" /> <path stroke="#1a1616" d="M25 9h1M24 10h3M24 M 11h3M23 12h5M24 13h4M23 14h6M21 15h8M21 16h1M23 16h7M20 17h3M27 17h4M21 20h2M27 20h3M19 21h13M13 23h2M36 23h2" /> <path stroke="#cecece" d="M22 13h2M22 14h1M22 16h1" /> <path stroke="#f4ce67" d="M23 17h4M23 18h1M26 18h1M23 19h1M26 19h1M23 20h4" /> <path stroke="#2c2c2c" d="M16 18h3M33 18h2M16 19h1M34 19h1M16 20h1M34 20h1M16 21h1M34 21h1M16 22h1M34 22h1M20 23h11M18 24h2M22 24h7M31 24h2M16 25h3M23 25h5M32 25h3M16 26h3M23 26h5M32 26h3M16 27h4M22 27h2M25 27h1M27 27h2M31 27h4M16 28h2M20 28h5M26 28h5M33 28h2M16 29h19MM 17 30h17M17 31h17M19 32h13M21 33h9M20 34h11M19 35h13M19 36h13M14 37h3M19 37h3M24 37h3M29 37h3M14 38h4M20 38h4M25 38h1M27 38h4" /> <path stroke="#4a236b" d="M20 18h3M24 18h2M27 18h3M20 19h3M24 19h2M27 19h3" /> <path stroke="#ecbaaf" d="M17 19h2M31 19h3M17 20h2M32 20h2M17 21h1M33 21h1" /> <path stroke="#f6e475" d="M20 24h2M29 24h1M19 25h1M28 25h1M21 27h1" /> <path stroke="#ebe178" d="M30 24h1M22 25h1M31 25h1M19 26h1M22 26h1M28 26h1M31 26h1M20 27h1M29 27h2" /> <path stroke="#ffffff" d="M24 27h1M26 27h1M25 28h1" /M <path stroke="#e6aeaf" d="M18 28h2M31 28h2" /> <path stroke="#644a24" d="M39 36h6M38 37h1M45 37h1M36 38h2M46 38h1M9 39h5M18 39h2M31 39h6M47 39h1M9 40h1M48 40h1M9 41h28M47 41h1M36 42h2M46 42h1M38 43h1M45 43h1M39 44h6" /> <path stroke="#c9964b" d="M39 37h6M38 38h1M43 38h1M45 38h1M37 39h10M37 40h11M37 41h10M38 42h8M39 43h6" /> <path stroke="#dabb8d" d="M39 38h4M44 38h1" /> <path stroke="#986e31" d="M10 40h27" /> text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #061</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Lightgrey, White</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meeeeooowwwwww</meow:Message> <path stroke="#b8da86" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 M 5h50M0 6h50M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h50M0 16h20M31 16h19M0 17h18M33 17h17M0 18h17M34 18h16M0 19h15M36 19h14M0 20h14M37 20h13M0 21h13M38 21h12M0 22h14M37 22h13M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h14M37 26h13M0 27h13M38 27h12M0 28h14M37 28h13M0 29h14M37 29h13M0 30h15M36 30h14M0 31h16M35 31h15M0 32h18M33 32h17M0 33h20M31 33h19M0 34h19M32 34h18M0 35h13M15 35h4M32 35h18M0 36h13M16 36h2M33 36h17M0 37h13M33 37h17M0 38h14M33 38h17M0 39h15M32 39h18M0 40h20M31 40h1M 9M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M20 16h11M18 17h2M31 17h2M17 18h1M33 18h1M15 19h2M34 19h2M14 20h1M36 20h1M13 21h1M17 21h1M33 21h1M37 21h1M14 22h3M29 22h3M34 22h3M15 23h1M20 23h2M28 23h1M32 23h1M35 23h1M15 24h1M19 24h1M22 24h1M35 24h1M15 25h1M24 25h3M35 25h1M14 26h1M25 26h1M36 26h1M13 27h1M37 27h1M14 28h1M36 28h1M14 29h1M36 29h1M15 30h1M35 30h1M16 31h2M33 31h2M18 32h3M30 32h3M20 33h1M30 33h1M19 34h1M31 34h1M13 35h2M19 35h1M31 35h1M13 36h1M15 36M h1M18 36h1M32 36h1M13 37h1M16 37h3M32 37h1M14 38h1M18 38h1M32 38h1M15 39h5M21 39h1M23 39h1M27 39h1M29 39h1M31 39h1M20 40h11" /> <path stroke="#b2b2b2" d="M20 17h11M18 18h15M17 19h8M26 19h8M15 20h10M26 20h10M18 21h6M27 21h6M17 22h6M28 22h1M32 22h2M16 23h4M33 23h2M16 24h1M34 24h1M21 34h1M23 34h1M27 34h1M29 34h1M22 35h1M24 35h1M26 35h1M28 35h1M14 36h1M25 36h1M14 37h2" /> <path stroke="#ffffff" d="M25 19h1M25 20h1M24 21h3M23 22h5M22 23h6M30 23h1M20 24h2M23 24h6M19 25h5M27 25h2M20 26h5M26 26h5M19 27h13M17 28h17M15 29hM 21M16 30h19M18 31h15M21 32h9M21 33h9M20 34h1M22 34h1M24 34h3M28 34h1M30 34h1M20 35h2M23 35h1M25 35h1M27 35h1M29 35h2M19 36h6M26 36h6M19 37h13M15 38h3M19 38h13M20 39h1M22 39h1M24 39h3M28 39h1M30 39h1" /> <path stroke="#ffc8ca" d="M14 21h3M34 21h3" /> <path stroke="#b5b53c" d="M29 23h1M31 23h1M29 24h3" /> <path stroke="#7b7b7b" d="M17 24h2M32 24h2M16 25h3M32 25h3M15 26h3M33 26h3M14 27h5M32 27h5M15 28h2M34 28h2" /> <path stroke="#949429" d="M29 25h3" /> <path stroke="#ffa1a4" d="M18 26h2M31 26h2" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #036</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Orange</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>Chainsaw on the forehead</meow:Gear> <meow:Message>Pull the tail and it will go brrrrr</meow:Message> <path stroke="#c3ff81" d="M0 0h50M M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h20M23 14h5M33 14h17M0 15h19M24 15h3M34 15h16M0 16h16M25 16h1M28 16h4M35 16h15M0 17h15M27 17h3M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h15M36 22h14M0 23h16M35 23h15M0 24h15M36 24h14M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h15M36 28h14M0 29h16M35 29h15M0 30h16M35 30h15M0 31h17M34 31h16M0 32h19M32 32h18M0 33h19M32 33h18M0 34h18M33 34h17M0 35h18M33 35h17M0 36h16M33M 36h17M0 37h16M32 37h18M0 38h16M19 38h1M31 38h19M0 39h50M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M20 14h3M28 14h5M19 15h1M23 15h1M27 15h7M16 16h3M24 16h1M26 16h2M32 16h3M15 17h1M18 17h1M25 17h2M30 17h2M35 17h1M15 18h1M18 18h1M26 18h4M35 18h1M15 19h1M19 19h1M30 19h2M35 19h1M15 20h1M18 20h1M20 20h1M32 20h1M35 20h1M15 21h1M17 21h1M21 21h1M33 21h1M35 21h1M15 22h2M22 22h1M34 22h2M16 23h1M23 23h1M34 23h1M15 24h1M21 24h1M29 24h2M35 24h1M15 25h1M20 25h1M M22 25h1M29 25h2M35 25h1M15 26h1M25 26h1M35 26h1M15 27h1M24 27h3M35 27h1M15 28h1M35 28h1M16 29h1M34 29h1M16 30h1M34 30h1M17 31h2M32 31h2M19 32h2M30 32h2M19 33h1M31 33h1M18 34h1M32 34h1M18 35h1M32 35h1M16 36h3M22 36h2M27 36h2M32 36h1M16 37h1M18 37h2M24 37h1M26 37h1M31 37h1M16 38h3M20 38h11" /> <path stroke="#808080" d="M20 15h3M19 16h1M23 16h1M19 17h1M24 17h1M19 18h1M25 18h1M26 19h1" /> <path stroke="#9d9d9d" d="M20 16h3M20 17h1M20 18h1M20 19h1M21 20h1M22 21h1M26 21h1M23 22h1M25 22h1M24 23h1" /> 6300" d="M16 17h2M32 17h1M16 18h1M30 18h1M16 19h1M27 19h3M16 20h1M19 20h1M27 20h5M16 21h1M18 21h3M27 21h6M17 22h5M26 22h8M17 23h6M25 23h4M31 23h3M16 24h5M22 24h6M32 24h2M16 25h4M21 25h1M23 25h5M32 25h2M16 26h9M26 26h3M31 26h3M16 27h2M20 27h4M27 27h4M33 27h1M16 28h18M17 29h16M17 30h15M19 31h12M21 32h3M27 32h3M20 33h3M28 33h2M19 34h4M28 34h3M19 35h5M27 35h4M19 36h3M24 36h3M29 36h2M17 37h1M20 37h4M25 37h1M27 37h2" /> <path stroke="#dddddd" d="M21 17h3M21 18h3M21 19h2M22 20h2M23 21h2M24 22h1" /> <path stroke="#e24a00M " d="M33 17h2M34 18h1M34 19h1M34 20h1M34 21h1M34 24h1M34 25h1M34 26h1M34 27h1M34 28h1M33 29h1M32 30h2M31 31h1M24 32h3M23 33h5M30 33h1M23 34h5M31 34h1M24 35h3M31 35h1M31 36h1M29 37h2" /> <path stroke="#ffc586" d="M17 18h1M31 18h3M17 19h2M32 19h2M17 20h1M33 20h1" /> <path stroke="#ffffff" d="M24 18h1M23 19h3M24 20h3M25 21h1M29 23h2M28 24h1M31 24h1M28 25h1M31 25h1M29 26h2" /> <path stroke="#ffb699" d="M18 27h2M31 27h2" /> text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #013</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>White</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Treat?</meow:Message> <path stroke="#c19cff" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 7h50MM 0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h16M19 15h13M35 15h15M0 16h15M21 16h9M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h16M35 28h15M0 29h16M35 29h15M0 30h17M34 30h16M0 31h16M35 31h15M0 32h16M35 32h15M0 33h15M36 33h14M0 34h15M36 34h14M0 35h15M36 35h14M0 36h13M36 36h14M0 37h13M35 37h15M0 38h13M34 38h16M0 39h19M32 39h18M0 40h50M0 41h50M0 42h50MM 0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 15h3M32 15h3M15 16h1M19 16h2M30 16h2M35 16h1M15 17h1M21 17h9M35 17h1M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M18 19h1M32 19h1M35 19h1M15 20h1M17 20h1M33 20h1M35 20h1M15 21h2M34 21h2M16 22h1M34 22h1M15 23h1M20 23h2M29 23h2M35 23h1M15 24h1M20 24h2M29 24h2M35 24h1M15 25h1M35 25h1M15 26h1M23 26h1M25 26h1M27 26h1M35 26h1M15 27h1M24 27h1M26 27h1M35 27h1M16 28h1M34 28h1M16 29h1M34 29h1M17 30h2M32 30h2M16 31h1M19 31h2M30 31h2M34 31h1MM 16 32h1M24 32h3M34 32h1M15 33h1M35 33h1M15 34h1M35 34h1M15 35h1M35 35h1M13 36h3M35 36h1M13 37h1M16 37h1M34 37h1M13 38h6M22 38h1M24 38h1M26 38h1M28 38h1M32 38h2M19 39h13" /> <path stroke="#ffffff" d="M16 16h3M32 16h3M16 17h1M20 17h1M30 17h1M34 17h1M16 18h1M21 18h9M34 18h1M16 19h1M19 19h13M34 19h1M16 20h1M18 20h15M34 20h1M17 21h17M17 22h3M22 22h7M31 22h3M16 23h3M23 23h5M32 23h3M16 24h3M23 24h5M32 24h3M16 25h4M22 25h7M31 25h4M16 26h2M20 26h3M24 26h1M26 26h1M28 26h3M33 26h2M16 27h8M25 27h1M27 27h8M17 28h17M17 29h17M19M 30h13M17 31h2M21 31h9M32 31h2M17 32h7M27 32h7M16 33h19M16 34h19M16 35h19M16 36h19M14 37h2M17 37h17M19 38h3M23 38h1M25 38h1M27 38h1M29 38h3" /> <path stroke="#ffcdc3" d="M17 17h3M31 17h3M17 18h2M32 18h2M17 19h1M33 19h1" /> <path stroke="#ffd142" d="M20 22h2M29 22h2M19 23h1M22 23h1M28 23h1M31 23h1M19 24h1M22 24h1M28 24h1M31 24h1M20 25h2M29 25h2" /> <path stroke="#ffb5a5" d="M18 26h2M31 26h2" /> text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #045</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Orange, White</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>Pink costume and a sword</meow:Gear> <meow:Message>Poyo!</meow:Message> <path stroke="#d3bcef" d="M0 0h50M0 1h50M0 2h50M0 3h50M0M 4h50M0 5h50M0 6h50M0 7h50M0 8h50M0 9h50M0 10h3M4 10h46M0 11h3M6 11h44M0 12h3M7 12h16M24 12h3M28 12h22M0 13h3M9 13h13M29 13h21M0 14h3M10 14h11M30 14h20M0 15h3M11 15h5M35 15h15M0 16h4M11 16h4M36 16h14M0 17h4M12 17h3M36 17h14M0 18h4M12 18h3M36 18h14M0 19h5M12 19h3M36 19h14M0 20h6M13 20h1M37 20h13M0 21h7M13 21h1M37 21h13M0 22h7M38 22h12M0 23h8M38 23h12M0 24h9M38 24h12M0 25h10M38 25h12M0 26h10M37 26h13M0 27h11M37 27h13M0 28h12M36 28h14M0 29h11M35 29h15M0 30h10M34 30h16M0 31h10M33 31h17M0 32h11M14 32h3M32 32h18M0 33h18MM 32 33h18M0 34h19M32 34h18M0 35h18M33 35h17M0 36h17M33 36h17M0 37h16M33 37h17M0 38h17M32 38h18M0 39h20M31 39h19M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#4d79cf" d="M3 10h1M3 11h2M3 12h1M6 12h1M7 13h1M9 14h1M10 15h1M4 16h1M10 16h1M11 17h1M5 18h1M11 18h1M11 19h1M12 20h1M12 21h1M8 22h1M12 22h1M13 23h1M13 24h1M13 25h1M11 26h1M17 26h1M16 27h2M16 28h1M12 29h1M15 29h1M11 30h4" /> <path stroke="#88aef8" d="M5 11h1M5 12h1M4 13h1M8 13h1M4 14h1M8 14h1M6 18h3M8 20h2M11M 21h1M10 22h1M11 24h2" /> <path stroke="#a1c0ff" d="M4 12h1M5 13h2M5 14h1M7 14h1M8 15h2M5 16h1M9 16h1M5 17h1M10 17h1M8 19h2M10 20h2M10 21h1M11 22h1M11 23h2M12 25h1" /> <path stroke="#000000" d="M23 12h1M27 12h1M22 13h1M24 13h3M28 13h1M21 14h4M26 14h4M16 15h5M22 15h1M24 15h1M26 15h1M28 15h1M30 15h5M15 16h1M18 16h1M22 16h1M24 16h1M26 16h1M28 16h1M32 16h1M35 16h1M15 17h3M23 17h1M27 17h1M33 17h3M4 18h1M15 18h2M34 18h2M5 19h1M15 19h1M22 19h7M35 19h1M6 20h1M14 20h1M20 20h2M29 20h2M36 20h1M14 21h1M19 21h1M31 21h1M36 21hM 1M7 22h1M13 22h1M18 22h1M32 22h1M37 22h1M8 23h1M17 23h1M20 23h2M29 23h2M33 23h1M37 23h1M9 24h1M16 24h2M20 24h2M29 24h2M34 24h1M37 24h1M16 25h1M18 25h1M25 25h1M34 25h1M37 25h1M10 26h1M14 26h2M18 26h1M24 26h1M26 26h1M34 26h1M36 26h1M11 27h1M18 27h1M33 27h1M36 27h1M18 28h1M32 28h1M35 28h1M11 29h1M17 29h3M31 29h1M34 29h1M10 30h1M16 30h2M20 30h2M29 30h2M33 30h1M10 31h1M14 31h3M18 31h1M22 31h7M32 31h1M11 32h3M17 32h1M19 32h2M30 32h2M18 33h1M21 33h9M31 33h1M19 34h1M28 34h1M31 34h1M18 35h1M28 35h1M31 35h2M17 36h2M29 36h2M3M 2 36h1M16 37h1M18 37h1M32 37h1M17 38h3M21 38h1M29 38h1M31 38h1M20 39h11" /> <path stroke="#1f52b0" d="M3 13h1M3 14h1M3 15h1M4 17h1M7 21h1M10 25h1M17 25h1M16 26h1M12 27h1M15 27h1M12 28h1M15 28h1M17 28h1M13 29h2M16 29h1M15 30h1M11 31h3" /> <path stroke="#ffffff" d="M23 13h1M27 13h1M17 31h1M22 34h6M23 35h4M17 37h1M22 38h1M28 38h1" /> <path stroke="#e2ecff" d="M6 14h1M5 15h3M6 16h3M6 17h4M9 18h2M10 19h1" /> <path stroke="#ff7ea5" d="M25 14h1M21 15h1M25 15h1M29 15h1M19 16h3M25 16h1M29 16h3M18 17h2M22 17h1M24 17h3M28M 17h1M31 17h2M17 18h17M16 19h6M29 19h6M15 20h5M31 20h5M15 21h4M32 21h4M14 22h4M33 22h4M14 23h3M34 23h3M14 24h2M35 24h2M14 25h2M35 25h2M35 26h1M34 27h2M33 28h2M32 29h2M18 30h2M31 30h2M19 31h3M29 31h3M21 32h9" /> <path stroke="#6993e6" d="M4 15h1M6 19h2M7 20h1M8 21h2M9 22h1M9 23h2M10 24h1M11 25h1M12 26h2" /> <path stroke="#3188bd" d="M23 15h1M27 15h1M23 16h1M27 16h1" /> <path stroke="#fe9800" d="M16 16h2M22 20h7M20 21h11M19 22h1M22 22h7M31 22h1M18 23h1M23 23h5M32 23h1M18 24h1M23 24h5M32 24h2M19 25h1M22 25h3M26 25hM 3M31 25h3M20 26h4M27 26h4M33 26h1M19 27h6M26 27h7M19 28h13M20 29h11M22 30h7M18 32h1M19 33h2M30 33h1M20 34h2M29 34h2M19 35h4M19 36h10M31 36h1M19 37h13M20 38h1M23 38h5M30 38h1" /> <path stroke="#fffdfb" d="M33 16h2M27 35h1M29 35h2" /> <path stroke="#d3426a" d="M20 17h2M29 17h2" /> <path stroke="#63b55c" d="M20 22h2M29 22h2M19 23h1M22 23h1M28 23h1M31 23h1M19 24h1M22 24h1M28 24h1M31 24h1M20 25h2M29 25h2" /> <path stroke="#ffb29d" d="M19 26h1M31 26h2" /> <path stroke="#fdc3a2" d="M25 26h1M25 27h1" /> <path stroke=("#fccb00" d="M13 27h2M13 28h2" /> text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #029</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Black, White</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meeeeooowwwwww</meow:Message> <path stroke="#9887ef" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M M0 6h50M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h14M19 14h12M36 14h14M0 15h14M20 15h10M36 15h14M0 16h14M36 16h14M0 17h14M36 17h14M0 18h14M36 18h14M0 19h14M36 19h14M0 20h15M35 20h15M0 21h15M35 21h15M0 22h14M36 22h14M0 23h14M36 23h14M0 24h13M37 24h13M0 25h12M38 25h12M0 26h13M37 26h13M0 27h12M38 27h12M0 28h13M37 28h13M0 29h14M36 29h14M0 30h15M35 30h15M0 31h16M33 31h17M0 32h17M31 32h19M0 33h18M32 33h18M0 34h18M32 34h18M0 35h15M33 35h17M0 36h15M33 36h17M0 37h16M33 37h17M0 38h17M32 38h18M0 39h19M31 39h19M M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M14 14h5M31 14h5M14 15h1M19 15h1M30 15h1M35 15h1M14 16h1M20 16h10M35 16h1M14 17h1M18 17h2M30 17h2M35 17h1M14 18h1M17 18h1M32 18h1M35 18h1M14 19h1M16 19h1M33 19h1M35 19h1M15 20h1M34 20h1M15 21h1M34 21h1M14 22h1M19 22h3M29 22h3M35 22h1M14 23h1M18 23h1M22 23h1M28 23h1M32 23h1M35 23h1M13 24h1M36 24h1M12 25h1M24 25h1M26 25h1M37 25h1M13 26h1M25 26h1M36 26h1M12 27h1M14 27h3M37 27h1M13 28h2M17 28h1M36 28h1M14 29hM 1M18 29h1M22 29h3M35 29h1M15 30h1M22 30h1M25 30h1M33 30h2M16 31h1M22 31h1M26 31h1M30 31h3M17 32h1M23 32h1M30 32h1M18 33h1M24 33h1M31 33h1M18 34h1M31 34h1M15 35h3M32 35h1M15 36h1M17 36h1M32 36h1M16 37h2M32 37h1M17 38h2M20 38h1M22 38h1M27 38h1M29 38h1M31 38h1M19 39h12" /> <path stroke="#2c2c2c" d="M15 15h4M31 15h4M15 16h5M30 16h5M15 17h1M20 17h10M34 17h1M15 18h1M18 18h14M34 18h1M15 19h1M17 19h16M34 19h1M16 20h9M26 20h8M16 21h8M27 21h7M15 22h4M22 22h1M28 22h1M32 22h3M15 23h3M33 23h2M14 24h5M32 24h4M13 25h5M33 25h4M14M 26h2M35 26h1M15 28h2M15 29h3M16 30h4M24 30h1M17 31h3M24 31h2M29 31h1M18 32h2M25 32h2M29 32h1M19 33h1M30 33h1M18 35h1M31 35h1M16 36h1M18 36h1M31 36h1M18 37h2M30 37h2M19 38h1M30 38h1" /> <path stroke="#ffc4c6" d="M16 17h2M32 17h2M16 18h1M33 18h1" /> <path stroke="#ffffff" d="M25 20h1M24 21h3M23 22h5M20 23h1M23 23h5M30 23h1M22 24h7M22 25h2M27 25h2M16 26h2M20 26h5M26 26h5M33 26h2M13 27h1M17 27h20M18 28h18M19 29h3M25 29h10M20 30h2M23 30h1M26 30h7M20 31h2M23 31h1M27 31h2M20 32h3M24 32h1M27 32h2M20 33h4M25 33h5M19 34h1M' 2M19 35h12M19 36h12M20 37h10M21 38h1M23 38h4M28 38h1" /> <path stroke="#deab00" d="M19 23h1M21 23h1M29 23h1M31 23h1M19 24h3M29 24h3" /> <path stroke="#ffb0b2" d="M18 25h1M32 25h1M18 26h2M31 26h2" /> <path stroke="#f6cb49" d="M19 25h3M29 25h3" /> <path stroke="#ffb790" d="M25 25h1" /> text/plain;charset=utf-8 text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #049</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Grey (Shiny)</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>Unicorn powers</meow:Gear> <meow:Message>I am just as meow-gical as meow-gical internet money</meow:Message> <path stroke="#a9f7fM f" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h23M24 4h26M0 5h38M39 5h11M0 6h14M15 6h35M0 7h50M0 8h12M13 8h12M26 8h4M32 8h18M0 9h11M14 9h10M27 9h2M30 9h2M33 9h17M0 10h12M13 10h11M27 10h2M30 10h2M33 10h17M0 11h24M27 11h3M32 11h18M0 12h23M27 12h23M0 13h23M27 13h23M0 14h7M8 14h15M27 14h16M44 14h6M0 15h21M27 15h15M45 15h5M0 16h19M31 16h12M44 16h6M0 17h18M33 17h17M0 18h17M34 18h16M0 19h15M36 19h14M0 20h14M37 20h13M0 21h13M38 21h12M0 22h14M37 22h13M0 23h6M7 23h8M36 23h14M0 24h15M36 24h14M0 25h8M9 25h6M36 25h14M0 26h14M37 26h13M0M 27h3M4 27h9M38 27h4M43 27h7M0 28h14M37 28h4M42 28h1M44 28h6M0 29h13M39 29h3M43 29h7M0 30h10M40 30h10M0 31h8M40 31h10M0 32h7M39 32h7M47 32h3M0 33h6M40 33h10M0 34h6M39 34h11M0 35h4M5 35h2M32 35h1M39 35h11M0 36h3M4 36h1M6 36h3M33 36h3M38 36h12M0 37h4M5 37h4M33 37h17M0 38h9M33 38h17M0 39h10M32 39h8M41 39h9M0 40h11M17 40h3M31 40h7M39 40h11M0 41h12M16 41h2M33 41h17M0 42h19M32 42h18M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#82bec5" d="M23 4h1M12 8h1M11 9h3M12 10h1M6 23h1M3 27h1M42 27h1M4M 1 28h1M43 28h1M42 29h1M38 40h1M18 41h15M19 42h13" /> <path stroke="#ffffff" d="M38 5h1M14 6h1M30 8h2M29 9h1M32 9h1M29 10h1M32 10h1M30 11h2M7 14h1M43 14h1M42 15h3M43 16h1M30 23h1M8 25h1M14 30h1M36 30h3M15 31h1M35 31h2M16 32h2M33 32h4M46 32h1M16 33h3M33 33h5M36 34h2M4 35h1M3 36h1M5 36h1M4 37h1M40 39h1" /> <path stroke="#dca61b" d="M25 8h1M24 9h1M26 9h1M24 10h1M26 10h1M24 11h1M26 11h1M23 12h1M26 12h1M23 13h1M26 13h1M23 14h1M26 14h1M26 15h1" /> <path stroke="#ffe24c" d="M25 9h1M25 11h1M24 13h2M25 15h1" /> oke="#fdd200" d="M25 10h1M24 12h2M24 14h2" /> <path stroke="#683e77" d="M21 15h4M19 16h2M25 16h2M29 16h1M19 17h1M27 17h2M30 17h1M19 18h1M30 18h1M20 19h1M29 19h1M21 20h2M28 20h1M23 21h5M10 30h4M8 31h2M14 31h1M7 32h1M15 32h1M6 33h1M15 33h1M6 34h1M8 34h1M16 34h1M7 35h2M17 35h1M9 36h1M17 36h1M9 37h1M9 38h1M10 39h1M17 39h1M11 40h1M16 40h1M12 41h4" /> <path stroke="#00f2ed" d="M21 16h4M23 17h4M29 17h1M25 18h4M7 33h3M7 34h1M9 34h1M9 35h2M10 36h2M10 37h2M10 38h5M11 39h6M12 40h4" /> <path stroke="#000000" d="M27 16h2M30 M 16h1M18 17h1M31 17h2M17 18h1M33 18h1M15 19h2M34 19h2M14 20h1M36 20h1M13 21h1M17 21h1M33 21h1M37 21h1M14 22h3M29 22h3M34 22h3M15 23h1M20 23h2M28 23h1M32 23h1M35 23h1M15 24h1M19 24h1M22 24h1M35 24h1M15 25h1M25 25h1M35 25h1M14 26h1M24 26h3M36 26h1M13 27h1M37 27h1M14 28h1M36 28h1M13 29h2M36 29h3M15 30h1M35 30h1M39 30h1M16 31h2M33 31h2M39 31h1M18 32h3M30 32h3M37 32h2M20 33h1M30 33h1M39 33h1M19 34h1M31 34h2M38 34h1M18 35h2M31 35h1M33 35h3M38 35h1M18 36h1M32 36h1M36 36h2M18 37h1M32 37h1M18 38h1M32 38h1M18 39h2M21 39h1M23 M 39h1M27 39h1M29 39h1M31 39h1M20 40h11" /> <path stroke="#ffef78" d="M20 17h3M22 18h3M29 18h1M24 19h5M8 32h4M10 33h3M10 34h4M11 35h4M12 36h3M12 37h4M15 38h3" /> <path stroke="#7b7b7b" d="M18 18h1M31 18h2M17 19h3M30 19h4M15 20h6M29 20h7M18 21h5M28 21h5M17 22h12M32 22h2M16 23h4M22 23h6M33 23h2M16 24h3M20 24h2M23 24h6M32 24h3M16 25h9M26 25h3M32 25h3M15 26h3M20 26h4M27 26h4M33 26h3M15 27h21M18 28h15M15 29h21M20 30h11M18 31h15M21 32h9M24 33h3M21 34h9M20 35h1M23 35h5M30 35h1M20 36h4M27 36h4M22 37h3M26 37h3M19 38h13M22 3M 9h1M24 39h3M28 39h1" /> <path stroke="#ffb0c2" d="M20 18h2M21 19h3M23 20h5M10 31h4M12 32h3M13 33h2M14 34h2M15 35h2M15 36h2M16 37h2" /> <path stroke="#ffc8ca" d="M14 21h3M34 21h3" /> <path stroke="#9bb000" d="M29 23h1M31 23h1M29 24h3" /> <path stroke="#7f9101" d="M29 25h3" /> <path stroke="#ffa1a4" d="M18 26h2M31 26h2" /> <path stroke="#3e3e3e" d="M14 27h1M36 27h1M15 28h3M33 28h3M16 30h4M31 30h4M21 33h3M27 33h3M20 34h1M30 34h1M21 35h2M28 35h2M19 36h1M24 36h3M31 36h1M19 37h3M25 37h1M29 37h3M20 39h1M30 39h1" /> L^ <path stroke="#d4d4d4" d="M37 31h2M19 33h1M31 33h2M38 33h1M17 34h2M33 34h3M36 35h2" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #044</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Orange, White</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meow</meow:Message> <path stroke="#635950" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0M 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h50M0 16h20M31 16h19M0 17h18M33 17h17M0 18h17M34 18h16M0 19h15M36 19h14M0 20h14M37 20h13M0 21h13M38 21h12M0 22h14M37 22h13M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h14M37 26h13M0 27h13M38 27h12M0 28h14M37 28h13M0 29h14M37 29h13M0 30h15M36 30h14M0 31h16M35 31h15M0 32h18M33 32h17M0 33h20M31 33h19M0 34h19M32 34h18M0 35h19M32 35h18M0 36h18M33 36h17M0 37h16M33 37h17M0 38h16M33 38h17M0 39h16M32 39h18M0 40h20M31 40h19M0 41h50M0 42h50M0 43h50M0 4M 4h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M20 16h11M18 17h2M31 17h2M17 18h1M33 18h1M15 19h2M34 19h2M14 20h1M36 20h1M13 21h1M17 21h1M33 21h1M37 21h1M14 22h3M29 22h3M34 22h3M15 23h1M20 23h2M28 23h1M32 23h1M35 23h1M15 24h1M19 24h1M22 24h1M35 24h1M15 25h1M25 25h1M35 25h1M14 26h1M24 26h3M36 26h1M13 27h1M37 27h1M14 28h1M36 28h1M14 29h1M36 29h1M15 30h1M35 30h1M16 31h2M33 31h2M18 32h3M30 32h3M20 33h1M30 33h1M19 34h1M31 34h1M19 35h1M31 35h1M18 36h1M32 36h1M16 37h3M32 37h1M16 38h1M18 38h1M32M 38h1M16 39h4M21 39h1M23 39h1M27 39h1M29 39h1M31 39h1M20 40h11" /> <path stroke="#fe9800" d="M20 17h6M18 18h8M17 19h9M15 20h10M18 21h6M17 22h7M16 23h4M22 23h1M16 24h3M20 24h2M16 25h6M15 26h3M20 26h1M14 27h6M15 28h3M31 29h1M29 30h5M29 31h4M20 34h1M20 35h2M19 36h3M19 37h3M19 38h2M27 38h2M26 39h1M28 39h1" /> <path stroke="#ffffff" d="M26 17h5M26 18h7M26 19h8M25 20h11M24 21h5M32 21h1M24 22h4M33 22h1M23 23h5M30 23h1M33 23h2M23 24h5M33 24h2M22 25h3M26 25h2M33 25h2M21 26h3M27 26h2M33 26h3M20 27h17M18 28h18M15 29h16M32 2M 9h4M16 30h13M34 30h1M18 31h11M21 32h9M21 33h5M28 33h2M21 34h5M29 34h2M22 35h3M30 35h1M22 36h6M30 36h2M22 37h10M17 38h1M21 38h6M29 38h3M20 39h1M22 39h1M24 39h2M30 39h1" /> <path stroke="#ffc8ca" d="M14 21h3M34 21h3" /> <path stroke="#504b48" d="M29 21h3M28 22h1M32 22h1M28 24h1M32 24h1M28 25h1M32 25h1M29 26h2M26 33h2M26 34h3M25 35h5M28 36h2" /> <path stroke="#d07c27" d="M29 23h1M31 23h1M29 24h3" /> <path stroke="#f2a255" d="M29 25h3" /> <path stroke="#ffa1a4" d="M18 26h2M31 26h2" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #056</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Grey, White</meow:Skin> <meow:Eyes>Tired</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meow</meow:Message> <path stroke="#ffa651" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 M 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h16M19 15h13M35 15h15M0 16h15M21 16h9M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h16M35 28h15M0 29h16M35 29h15M0 30h17M34 30h16M0 31h19M32 31h18M0 32h20M31 32h19M0 33h19M32 33h18M0 34h19M32 34h18M0 35h18M33 35h17M0 36h17M33 36h17M0 37h16M33 37h17M0 38h16M32 38h18M0 39h20M31 39h19M0 40h50M0 41h50M0 4M 2h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 15h3M32 15h3M15 16h1M19 16h2M30 16h2M35 16h1M15 17h1M21 17h9M35 17h1M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M18 19h1M32 19h1M35 19h1M15 20h1M17 20h1M33 20h1M35 20h1M15 21h2M34 21h2M16 22h1M34 22h1M15 23h1M35 23h1M15 24h1M19 24h4M28 24h4M35 24h1M15 25h1M20 25h2M29 25h2M35 25h1M15 26h1M23 26h1M25 26h1M27 26h1M35 26h1M15 27h1M24 27h1M26 27h1M35 27h1M16 28h1M34 28h1M16 29h1M34 29h1M17 30h2M32 30h2M19 31h2M30 31h2M20 32h1M30 M 32h1M19 33h1M31 33h1M19 34h1M31 34h1M18 35h1M32 35h1M17 36h2M32 36h1M16 37h1M18 37h1M32 37h1M16 38h4M21 38h1M23 38h1M27 38h1M29 38h1M31 38h1M20 39h11" /> <path stroke="#7b7b7b" d="M16 16h3M16 17h1M20 17h1M16 18h1M21 18h5M16 19h1M19 19h9M16 20h1M18 20h11M17 21h13M17 22h15M16 23h17M16 24h3M23 24h5M32 24h2M16 25h4M22 25h7M31 25h4M16 26h2M20 26h3M28 26h3M33 26h2M16 27h8M25 27h1M27 27h8M17 28h17M17 29h17M19 30h13M21 31h9M21 32h9M20 33h4M27 33h4M20 34h3M28 34h3M19 35h4M28 35h4M19 36h5M27 36h5M19 37h13M24 38h3" /> stroke="#ffffff" d="M32 16h3M30 17h1M34 17h1M26 18h4M34 18h1M28 19h4M34 19h1M29 20h4M34 20h1M30 21h4M32 22h2M33 23h2M34 24h1M24 26h1M26 26h1M24 33h3M23 34h5M23 35h5M24 36h3M17 37h1M20 38h1M22 38h1M28 38h1M30 38h1" /> <path stroke="#ffbdbe" d="M17 17h3M31 17h3M17 18h2M32 18h2M17 19h1M33 19h1" /> <path stroke="#ffabad" d="M18 26h2M31 26h2" /> text/plain;charset=utf-8 text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #021</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Black</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meeeeooowwwwww</meow:Message> <path stroke="#f0bc80" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h15M18 14h14M35 14h15M0 15h14M20 15h10M36 15h14M0 16h14M36 16h14M0 17h14M36 17h14M0 18h14M36 18h14M0 19h14M36 19h14M0 20h15M35 20h15M0 21h15M35 21h15M0 22h14M36 22h14M0 23h14M36 23h14M0 24h13M37 24h13M0 25h12M38 25h12M0 26h13M37 26h13M0 27h12M38 27h12M0 28h13M37 28h13M0 29h14M36 29h14M0 30h15M35 30h15M0 31h16M33 31h17M0 32h17M31 32h19M0 33h18M32 33h18M0 34h18M32 34h18M0 35h15M33 35h17M0 36h15M33 36h17M0 37h16M33 37h17M0 38h17M32 38h18M0 39h19M31 39h19M0 40h5M 0M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M15 14h3M32 14h3M14 15h1M18 15h2M30 15h2M35 15h1M14 16h1M20 16h10M35 16h1M14 17h1M18 17h2M30 17h2M35 17h1M14 18h1M17 18h1M32 18h1M35 18h1M14 19h1M16 19h1M33 19h1M35 19h1M15 20h1M34 20h1M15 21h1M34 21h1M14 22h1M19 22h3M29 22h3M35 22h1M14 23h1M18 23h1M22 23h1M28 23h1M32 23h1M35 23h1M13 24h1M36 24h1M12 25h1M24 25h1M26 25h1M37 25h1M13 26h1M25 26h1M36 26h1M12 27h1M14 27h3M37 27h1M13 28h2M17 28h1M36 28h1M14 29h1M18 29M h1M22 29h3M35 29h1M15 30h1M22 30h1M25 30h1M33 30h2M16 31h1M22 31h1M26 31h1M30 31h3M17 32h1M23 32h1M30 32h1M18 33h1M24 33h1M31 33h1M18 34h1M31 34h1M15 35h3M32 35h1M15 36h1M17 36h1M32 36h1M16 37h2M32 37h1M17 38h2M20 38h1M22 38h1M27 38h1M29 38h1M31 38h1M19 39h12" /> <path stroke="#2c2c2c" d="M15 15h3M32 15h3M15 16h1M19 16h1M30 16h1M34 16h1M15 17h1M20 17h10M34 17h1M15 18h1M18 18h14M34 18h1M15 19h1M17 19h16M34 19h1M16 20h18M16 21h18M15 22h4M22 22h7M32 22h3M15 23h3M23 23h5M33 23h2M14 24h5M22 24h7M32 24h4M13 25h5M22 25h2M M27 25h2M33 25h4M14 26h4M20 26h5M26 26h5M33 26h3M13 27h1M17 27h20M15 28h2M18 28h18M15 29h3M19 29h3M25 29h10M16 30h6M23 30h2M26 30h7M17 31h5M23 31h3M27 31h3M18 32h5M24 32h6M19 33h5M25 33h6M19 34h12M18 35h14M16 36h1M18 36h14M18 37h14M19 38h1M21 38h1M23 38h4M28 38h1M30 38h1" /> <path stroke="#ffc4c6" d="M16 16h3M31 16h3M16 17h2M32 17h2M16 18h1M33 18h1" /> <path stroke="#deab00" d="M19 23h1M21 23h1M29 23h1M31 23h1M19 24h3M29 24h3" /> <path stroke="#ffffff" d="M20 23h1M30 23h1" /> <path stroke="#ffb0b2" d="M18 25h1MLz32 25h1M18 26h2M31 26h2" /> <path stroke="#f6cb49" d="M19 25h3M29 25h3" /> <path stroke="#ffb790" d="M25 25h1" /> text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #028</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Black, White</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Nicknamed Lil Satoshi</meow:Message> <path stroke="#93dbb1" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M M0 5h50M0 6h50M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h50M0 16h50M0 17h16M19 17h13M35 17h15M0 18h15M21 18h9M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h15M36 22h14M0 23h15M36 23h14M0 24h16M35 24h15M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h15M36 28h14M0 29h15M36 29h14M0 30h16M35 30h15M0 31h16M35 31h15M0 32h17M34 32h16M0 33h19M32 33h18M0 34h19M32 34h18M0 35h18M33 35h17M0 36h17M33 36h17M0 37h16M33 37h17M0 38h16M32 38h18M0 39h20M31 39h19M0 40h50M0 41h50M0 42M h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 17h3M32 17h3M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M21 19h9M35 19h1M15 20h1M19 20h2M30 20h2M35 20h1M15 21h1M18 21h1M32 21h1M35 21h1M15 22h1M17 22h1M33 22h1M35 22h1M15 23h2M34 23h2M16 24h1M34 24h1M15 25h1M20 25h2M29 25h1M35 25h1M15 26h1M20 26h2M28 26h1M30 26h1M35 26h1M15 27h1M25 27h1M35 27h1M15 28h1M24 28h3M35 28h1M15 29h1M35 29h1M16 30h1M34 30h1M16 31h1M34 31h1M17 32h2M32 32h2M19 33h2M30 33h2M19 34h1M31 34h1M18 35h1M32 3M 5h1M17 36h2M32 36h1M16 37h1M18 37h1M22 37h2M27 37h2M32 37h1M16 38h4M24 38h1M26 38h1M31 38h1M20 39h11" /> <path stroke="#ffffff" d="M16 18h3M32 18h3M16 19h1M20 19h1M30 19h1M16 20h1M21 20h3M16 21h1M19 21h4M16 22h1M18 22h4M17 23h3M17 24h1M16 25h1M16 26h1M27 28h3M24 29h7M23 30h9M21 31h10M30 35h2M30 36h2M29 37h3M22 38h2M27 38h4" /> <path stroke="#ffcfc6" d="M17 19h3M31 19h3M17 20h2M32 20h2M17 21h1M33 21h1" /> <path stroke="#2c2c2c" d="M34 19h1M24 20h6M34 20h1M23 21h9M34 21h1M22 22h11M34 22h1M20 23h14M18 24h2M22 24h12M M17 25h2M23 25h6M30 25h5M17 26h2M23 26h5M29 26h1M31 26h4M16 27h4M22 27h3M26 27h9M16 28h2M20 28h4M30 28h1M33 28h2M16 29h8M31 29h4M17 30h6M32 30h2M17 31h4M31 31h3M19 32h13M21 33h9M20 34h11M19 35h11M19 36h11M17 37h1M19 37h3M24 37h3M20 38h2M25 38h1" /> <path stroke="#40be64" d="M20 24h2M19 25h1M22 25h1M19 26h1M22 26h1M20 27h2" /> <path stroke="#ffc0b4" d="M18 28h2M31 28h2" /> text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #066</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Lightgrey, White (Shiny)</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>Octopus costume</meow:Gear> <meow:Message>Octopussy cat</meow:Message> <path stroke="#3a9bfd" d="M0 0h50M0 1h50M0 2h1M 3M14 2h34M0 3h47M48 3h2M0 4h46M47 4h3M0 5h5M6 5h27M34 5h12M47 5h3M0 6h47M48 6h2M0 7h21M23 7h25M0 8h20M21 8h2M24 8h6M31 8h19M0 9h20M21 9h2M24 9h26M0 10h6M8 10h13M23 10h27M0 11h5M6 11h2M9 11h41M0 12h4M5 12h4M10 12h27M38 12h12M0 13h4M5 13h4M10 13h40M0 14h5M6 14h2M9 14h12M23 14h5M30 14h20M0 15h6M8 15h8M19 15h1M24 15h3M31 15h1M35 15h15M0 16h15M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h6M43 20h7M0 21h15M36 21h5M42 21h1M44 21h6M0 22h15M36 22h6M43 22h7M0 23h14M37 23h13M0 24h4M5 24h9M37 24h13M M0 25h14M37 25h2M40 25h10M0 26h14M37 26h1M40 26h3M44 26h1M46 26h2M49 26h1M0 27h14M37 27h1M41 27h1M45 27h2M49 27h1M0 28h3M5 28h7M13 28h2M37 28h2M45 28h1M48 28h2M0 29h1M2 29h2M6 29h1M8 29h4M13 29h3M35 29h1M38 29h1M45 29h1M48 29h2M1 30h1M3 30h1M11 30h1M14 30h2M35 30h2M38 30h2M42 30h1M48 30h2M0 31h1M2 31h2M10 31h2M38 31h1M48 31h2M0 32h5M6 32h1M10 32h1M40 32h1M45 32h1M47 32h3M0 33h5M18 33h1M32 33h1M39 33h1M43 33h1M47 33h3M0 34h6M9 34h1M11 34h1M18 34h1M32 34h1M39 34h1M0 35h6M11 35h2M33 35h2M0 36h4M8 36h1M11 36h1M13 36h3MM 33 36h3M0 37h3M9 37h1M13 37h4M33 37h5M0 38h2M8 38h1M11 38h7M32 38h6M0 39h2M8 39h1M11 39h9M31 39h7M0 40h3M9 40h1M11 40h7M33 40h4M0 41h2M9 41h10M32 41h8M0 42h3M8 42h13M30 42h20M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#ffffff" d="M13 2h1M48 2h2M47 3h1M46 4h1M46 5h1M47 6h1M48 7h2M30 8h1M6 10h2M5 11h1M8 11h1M4 12h1M9 12h1M4 13h1M9 13h1M5 14h1M8 14h1M6 15h2M21 15h2M28 15h2M21 16h2M28 16h2M42 20h1M41 21h1M43 21h1M42 22h1M24 24h3M23 25h5M22 26h2M25 26h1M27 26h2M21 27h4M26 27h4M20 28h11M1 M 29h1M21 29h9M0 30h1M2 30h1M10 30h1M1 31h1M25 33h1M25 34h1M46 34h1M23 35h4M22 36h6M21 37h9M22 38h1M24 38h3M28 38h1" /> <path stroke="#0d74d0" d="M5 5h1M33 5h1M21 7h2M20 8h1M23 8h1M20 9h1M23 9h1M21 10h2M37 12h1M4 24h1M45 26h1M7 37h2M6 38h1M9 38h1M6 39h1M9 39h1M7 40h2" /> <path stroke="#000000" d="M21 14h2M28 14h2M16 15h3M20 15h1M23 15h1M27 15h1M30 15h1M32 15h3M15 16h1M19 16h2M23 16h5M30 16h2M35 16h1M15 17h1M19 17h1M21 17h2M28 17h2M31 17h1M35 17h1M15 18h1M18 18h1M32 18h1M35 18h1M15 19h1M17 19h1M33 19h1M35 19h1M15 20M h2M21 20h9M34 20h2M15 21h2M20 21h1M30 21h1M34 21h2M15 22h1M19 22h1M31 22h1M35 22h1M14 23h2M18 23h1M20 23h2M29 23h2M32 23h1M35 23h2M14 24h1M17 24h1M20 24h2M29 24h2M33 24h1M36 24h1M14 25h1M17 25h1M33 25h1M36 25h1M14 26h1M17 26h1M24 26h1M26 26h1M33 26h1M36 26h1M14 27h1M17 27h2M25 27h1M32 27h2M36 27h1M15 28h1M19 28h1M31 28h1M35 28h1M16 29h1M20 29h1M30 29h1M34 29h1M16 30h1M21 30h9M34 30h1M14 31h2M19 31h2M30 31h2M35 31h2M13 32h1M17 32h17M37 32h1M13 33h1M17 33h1M19 33h2M24 33h1M26 33h1M30 33h2M33 33h1M37 33h1M12 34h1M16 3M 4h2M19 34h2M23 34h2M26 34h2M31 34h1M33 34h2M38 34h1M13 35h3M18 35h2M22 35h1M27 35h1M31 35h2M35 35h3M16 36h1M18 36h2M21 36h1M28 36h2M31 36h2M17 37h2M20 37h1M30 37h1M32 37h1M18 38h2M21 38h1M23 38h1M27 38h1M29 38h1M31 38h1M20 39h11" /> <path stroke="#acacac" d="M16 16h3M32 16h3M16 17h1M34 17h1M16 18h1M34 18h1M16 19h1M34 19h1M21 21h9M22 22h7M23 23h5M18 24h1M23 24h1M27 24h1M32 24h1M22 25h1M28 25h1M18 26h4M29 26h4M19 27h2M30 27h2M16 35h2M17 36h1M19 37h1M31 37h1M20 38h1M30 38h1" /> <path stroke="#f7baa7" d="M17 17h2M32 M 17h2M17 18h1M33 18h1" /> <path stroke="#f95229" d="M20 17h1M23 17h1M27 17h1M30 17h1M19 18h5M25 18h1M27 18h5M18 19h6M27 19h6M17 20h4M30 20h4M17 21h3M31 21h3M16 22h3M32 22h3M16 23h2M33 23h2M15 24h2M34 24h2M15 25h2M34 25h2M15 26h2M34 26h2M15 27h2M34 27h2M16 28h3M32 28h3M17 29h3M31 29h3M17 30h4M30 30h4M16 31h3M21 31h9M32 31h3M14 32h2M35 32h2M14 33h3M21 33h3M27 33h3M34 33h3M13 34h1M15 34h1M21 34h1M29 34h2M35 34h1M37 34h1M20 35h1M28 35h1M30 35h1M20 36h1M30 36h1" /> <path stroke="#fec4b6" d="M24 17h3M24 18h1M26 18h1M24 M <path stroke="#7bcdff" d="M20 22h2M29 22h2M19 23h1M22 23h1M28 23h1M31 23h1M19 24h1M22 24h1M28 24h1M31 24h1M20 25h2M29 25h2" /> <path stroke="#f1cec7" d="M18 25h2M31 25h2" /> <path stroke="#b7f9a0" d="M39 25h1M38 26h2M43 26h1M38 27h1M42 27h2M3 28h2M42 28h1M46 28h1M42 29h1M8 30h1M45 30h1M45 31h1M41 32h1M41 33h1M7 34h2" /> <path stroke="#64bd42" d="M48 26h1M40 27h1M44 27h1M48 27h1M40 28h1M44 28h1M5 29h1M40 29h1M44 29h1M47 29h1M5 30h1M9 30h1M41 30h1M44 30h1M47 30h1M5 31h1M9 31h1M47 31h1M9 32h1M6 33h1M46 33M h1M43 34h1M45 34h1M7 35h1M43 35h2M7 36h1M44 36h1" /> <path stroke="#96ea76" d="M39 27h1M47 27h1M39 28h1M43 28h1M47 28h1M4 29h1M39 29h1M43 29h1M46 29h1M4 30h1M40 30h1M43 30h1M46 30h1M4 31h1M8 31h1M40 31h5M46 31h1M5 32h1M8 32h1M42 32h3M46 32h1M5 33h1M8 33h2M42 33h1M44 33h2M6 34h1M42 34h1M44 34h1M6 35h1M6 36h1" /> <path stroke="#c74f7a" d="M12 28h1M36 28h1M41 28h1M36 29h1M6 30h1M13 30h1M7 31h1M13 31h1M7 32h1M38 33h1M10 34h1M40 34h2M10 35h1M12 36h1M36 36h2M12 37h1" /> <path stroke="#f78fb3" d="M7 29h1M12 29h1M37 29hM 1M41 29h1M7 30h1M12 30h1M37 30h1M6 31h1M12 31h1M37 31h1M39 31h1M11 32h2M38 32h2M7 33h1M10 33h3M40 33h1M8 35h2M38 35h2M9 36h2M38 36h1M10 37h2M10 38h1M10 39h1M38 39h1M10 40h1" /> <path stroke="#fcc5ba" d="M16 32h1M34 32h1M14 34h1M22 34h1M28 34h1M36 34h1M21 35h1M29 35h1" /> <path stroke="#764f22" d="M47 34h3M40 35h3M45 35h1M4 36h2M39 36h1M43 36h1M45 36h1M3 37h1M6 37h1M38 37h1M44 37h1M2 38h1M7 38h1M38 38h1M45 38h1M2 39h1M7 39h1M39 39h11M3 40h4" /> <path stroke="#ad875a" d="M46 35h2M40 36h1M46 36h1M39 37h2M45 37h2M3 MK 38h1M39 38h1M46 38h1M3 39h1" /> <path stroke="#9c754a" d="M48 35h1M41 36h2M47 36h2M4 37h1M41 37h2M47 37h2M4 38h1M40 38h3M47 38h2M4 39h2" /> <path stroke="#906b40" d="M49 35h1M49 36h1M5 37h1M43 37h1M49 37h1M5 38h1M43 38h2M49 38h1" /> <path stroke="#3384d6" d="M18 40h15M37 40h13M2 41h7M19 41h13M40 41h10M3 42h5M21 42h9" /> text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #031</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Black, White</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Born during the eclipse, destined to moon</meow:Message> <path stroke="#e4ff86" d="M0 0h50M0 1h50MM 0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h16M19 15h13M35 15h15M0 16h15M21 16h9M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h16M35 28h15M0 29h16M35 29h15M0 30h17M34 30h16M0 31h16M35 31h15M0 32h16M35 32h15M0 33h15M36 33h14M0 34h15M36 34h14M0 35h13M36 35h14M0 36h13M36 36h14M0 37h13M35 37h15M0 38h17M34 38h16M M0 39h19M32 39h18M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 15h3M32 15h3M15 16h1M19 16h2M30 16h2M35 16h1M15 17h1M21 17h9M35 17h1M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M18 19h1M32 19h1M35 19h1M15 20h1M17 20h1M33 20h1M35 20h1M15 21h2M34 21h2M16 22h1M34 22h1M15 23h1M20 23h2M29 23h1M35 23h1M15 24h1M20 24h2M28 24h1M30 24h1M35 24h1M15 25h1M35 25h1M15 26h1M23 26h1M25 26h1M27 26h1M35 26h1M15 27h1M24 27h1M26 27h1M35 27h1M16 28h1M34 28h1M16 29h1M34 29hM 1M17 30h2M32 30h2M16 31h1M19 31h2M30 31h2M34 31h1M16 32h1M24 32h3M34 32h1M15 33h1M35 33h1M15 34h1M35 34h1M13 35h3M35 35h1M13 36h1M15 36h1M35 36h1M13 37h4M34 37h1M17 38h2M22 38h1M24 38h1M26 38h1M28 38h1M32 38h2M19 39h13" /> <path stroke="#2c2c2c" d="M16 16h3M16 17h1M20 17h1M16 18h1M21 18h9M16 19h1M19 19h12M16 20h1M18 20h14M17 21h15M17 22h3M22 22h11M16 23h3M23 23h6M30 23h3M16 24h3M23 24h5M29 24h1M31 24h3M16 25h4M22 25h12M16 26h2M20 26h3M28 26h3M33 26h1M16 27h8M25 27h1M27 27h6M17 28h14M17 29h12M19 30h8M17 31h2M21 31hM 8M17 32h7M27 32h2M16 33h13M16 34h12M16 35h12M14 36h1M16 36h11M17 37h9M19 38h3M23 38h1M25 38h1" /> <path stroke="#ffffff" d="M32 16h3M30 17h1M34 17h1M34 18h1M31 19h1M34 19h1M32 20h1M34 20h1M32 21h2M33 22h1M33 23h2M34 24h1M34 25h1M34 26h1M33 27h2M31 28h3M29 29h5M27 30h5M29 31h1M32 31h2M29 32h5M29 33h6M28 34h7M28 35h7M27 36h8M26 37h8M27 38h1M29 38h3" /> <path stroke="#f5b3a5" d="M17 17h3M31 17h3M17 18h2M32 18h2M17 19h1M33 19h1" /> <path stroke="#b3d57f" d="M20 22h2M19 23h1M22 23h1M19 24h1M22 24h1M20 25h2" /> <pathL` stroke="#e79e8e" d="M18 26h2M31 26h2" /> <path stroke="#373737" d="M24 26h1M26 26h1" /> text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #057</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Grey, White</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>Pumpkin and bats</meow:Gear> <meow:Message>Nothing is as spooky as the unbacked fiat currency</meow:Message> <path stroke="#8065a3M " d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h4M7 5h1M9 5h1M11 5h1M15 5h35M0 6h5M14 6h36M0 7h6M13 7h37M0 8h8M11 8h39M0 9h9M10 9h16M28 9h10M39 9h1M41 9h9M0 10h25M28 10h8M43 10h7M0 11h24M27 11h8M44 11h6M0 12h24M28 12h7M37 12h1M41 12h1M44 12h6M0 13h21M30 13h5M36 13h3M40 13h3M44 13h6M0 14h20M31 14h19M0 15h19M32 15h18M0 16h19M32 16h18M0 17h19M32 17h18M0 18h12M39 18h11M0 19h12M39 19h11M0 20h12M39 20h11M0 21h13M38 21h12M0 22h13M38 22h12M0 23h4M5 23h1M7 23h7M37 23h13M0 24h3M8 24h7M36 24h14M0 25h5M6 25h9M36 25h6M43 25h1M45 2M 5h5M0 26h15M36 26h4M47 26h3M0 27h15M36 27h5M46 27h4M0 28h16M35 28h8M44 28h6M0 29h12M15 29h1M35 29h15M0 30h11M15 30h2M34 30h16M0 31h10M14 31h5M32 31h18M0 32h10M14 32h4M32 32h18M0 33h10M14 33h3M33 33h17M0 34h10M15 34h1M34 34h16M0 35h11M15 35h1M34 35h16M0 36h11M35 36h15M0 37h12M35 37h15M0 38h13M35 38h15M0 39h16M34 39h16M0 40h17M33 40h17M0 41h18M32 41h18M0 42h15M35 42h15M0 43h17M33 43h17M0 44h19M31 44h19M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M4 5h3M8 5h1M10 5h1M12 5h3M6 6h2M9 6h1M11 6h2M M8 7h3M8 8h3M9 9h1M38 9h1M40 9h1M36 10h2M39 10h1M41 10h2M35 11h2M38 11h3M42 11h2M35 12h1M38 12h3M43 12h1M35 13h1M39 13h1M43 13h1M21 16h9M19 17h2M30 17h2M12 18h7M32 18h7M12 19h1M38 19h1M12 20h1M38 20h1M13 21h1M37 21h1M13 22h1M37 22h1M4 23h1M6 23h1M14 23h2M20 23h2M29 23h1M35 23h2M3 24h5M15 24h1M20 24h2M28 24h1M30 24h1M35 24h1M5 25h1M15 25h1M25 25h1M35 25h1M42 25h1M44 25h1M15 26h1M24 26h1M26 26h1M35 26h1M40 26h2M43 26h1M45 26h2M15 27h1M35 27h1M42 27h3M16 28h1M34 28h1M43 28h1M12 29h3M16 29h1M34 29h1M11 30h1M14 30h1M17 M 30h2M32 30h2M10 31h1M13 31h1M10 32h1M13 32h1M10 33h1M13 33h1M10 34h1M14 34h1M11 35h1M14 35h1M11 36h1M12 37h1M13 38h2" /> <path stroke="#6c6b6b" d="M5 6h1M13 6h1M6 7h2M11 7h2M37 11h1M41 11h1M36 12h1M42 12h1M41 27h1M45 27h1" /> <path stroke="#b10009" d="M8 6h1M10 6h1M38 10h1M40 10h1M42 26h1M44 26h1" /> <path stroke="#692f00" d="M26 9h2M25 10h1M27 10h1M24 11h1M26 11h1M24 12h1M26 12h2M21 13h9M20 14h1M30 14h1M19 15h1M31 15h1M19 16h1M31 16h1M19 31h13M18 32h1M31 32h1M17 33h1M32 33h1M16 34h1M33 34h1M16 35h1M33 35h1M15 3M 6h1M34 36h1M15 37h1M34 37h1M15 38h1M34 38h1M16 39h1M33 39h1M17 40h1M32 40h1M18 41h14" /> <path stroke="#e16600" d="M26 10h1M25 11h1M25 12h1M22 14h1M25 14h1M28 14h1M21 15h1M25 15h1M29 15h1M19 32h1M22 32h2M25 32h2M29 32h1M18 33h1M22 33h1M26 33h1M29 33h2M18 34h1M22 34h1M26 34h1M30 34h1M18 35h1M23 35h1M27 35h1M31 35h1M16 36h1M18 36h2M23 36h1M27 36h1M31 36h1M33 36h1M16 37h1M19 37h1M23 37h1M27 37h1M31 37h1M33 37h1M16 38h1M19 38h1M23 38h1M28 38h1M31 38h1M33 38h1M19 39h1M24 39h1M28 39h1M31 39h1M20 40h1M24 40h1M27 40h2M31 M <path stroke="#f2760d" d="M21 14h1M23 14h2M26 14h2M29 14h1M20 15h1M22 15h3M26 15h3M30 15h1M20 16h1M30 16h1M20 32h2M24 32h1M27 32h2M30 32h1M19 33h3M23 33h3M27 33h2M31 33h1M17 34h1M19 34h3M23 34h3M27 34h3M31 34h2M17 35h1M19 35h4M24 35h3M28 35h3M32 35h1M17 36h1M20 36h3M24 36h3M28 36h3M32 36h1M17 37h2M20 37h3M24 37h3M28 37h3M32 37h1M17 38h2M20 38h3M24 38h4M29 38h2M32 38h1M17 39h2M20 39h4M25 39h3M29 39h2M32 39h1M18 40h2M21 40h3M25 40h2M29 40h2" /> <path stroke="#7b7b7b" d="M21 17h9M19 18h13M13 19h25M13 20h6M2M 2 20h16M23 21h10M24 22h10M24 23h5M30 23h5M24 24h4M29 24h1M31 24h4M23 25h2M26 25h9M23 26h1M27 26h4M33 26h2M22 27h13M21 28h11M20 29h10M12 30h2M19 30h9M11 31h2M11 32h2M12 33h1M12 34h2M13 35h1M13 36h2" /> <path stroke="#ffffff" d="M19 20h3M18 21h5M17 22h3M22 22h2M16 23h3M23 23h1M16 24h3M23 24h1M16 25h4M22 25h1M16 26h2M20 26h3M16 27h6M17 28h4M32 28h2M17 29h3M30 29h4M28 30h4M11 33h1M11 34h1M12 35h1M12 36h1M13 37h2" /> <path stroke="#ffbcb2" d="M14 21h4M33 21h4M14 22h3M34 22h3" /> <path stroke="#b19f35" d="M20 22h2M19 L 23h1M22 23h1M19 24h1M22 24h1M20 25h2" /> <path stroke="#ffbcbd" d="M18 26h2M31 26h2" /> <path stroke="#ffa3a5" d="M25 26h1" /> <path stroke="#634688" d="M15 42h20M17 43h16M19 44h12" /> text/plain;charset=utf-8 text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #020</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Black</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meeeeooowwwwww</meow:Message> <path stroke="#fff68a" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h50M0 16h50M0 17h16M19 17h13M35 17h15M0 18h15M21 18h9M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h15M36 22h14M0 23h15M36 23h14M0 24h16M35 24h15M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h15M36 28h14M0 29h15M36 29h14M0 30h16M35 30h15M0 31h16M35 31h15M0 32h17M34 32h16M0 33h19M32 33h18M0 34h19M32 34h18M0 35h18M33 35h17M0 36h17M33 36h17M0 37h16M33 37h17M0 38h16M32 38h18M0 39h20M31 39h19M0 40h50M0 41h50M0 42h50M0 43h50M0 M 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 17h3M32 17h3M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M21 19h9M35 19h1M15 20h1M19 20h2M30 20h2M35 20h1M15 21h1M18 21h1M32 21h1M35 21h1M15 22h1M17 22h1M33 22h1M35 22h1M15 23h2M34 23h2M16 24h1M34 24h1M15 25h1M20 25h2M29 25h1M35 25h1M15 26h1M20 26h2M28 26h1M30 26h1M35 26h1M15 27h1M25 27h1M35 27h1M15 28h1M24 28h3M35 28h1M15 29h1M35 29h1M16 30h1M34 30h1M16 31h1M34 31h1M17 32h2M32 32h2M19 33h2M30 33h2M19 34h1M31 34h1M18 35h1M32 35h1M17 36h2M32M 36h1M16 37h1M18 37h1M22 37h2M27 37h2M32 37h1M16 38h4M24 38h1M26 38h1M31 38h1M20 39h11" /> <path stroke="#2c2c2c" d="M16 18h3M32 18h3M16 19h1M20 19h1M30 19h1M34 19h1M16 20h1M21 20h9M34 20h1M16 21h1M19 21h13M34 21h1M16 22h1M18 22h15M34 22h1M17 23h17M17 24h3M22 24h12M16 25h3M23 25h6M30 25h5M16 26h3M23 26h5M29 26h1M31 26h4M16 27h4M22 27h3M26 27h9M16 28h2M20 28h4M27 28h4M33 28h2M16 29h19M17 30h17M17 31h17M19 32h13M21 33h9M20 34h11M19 35h13M19 36h13M17 37h1M19 37h3M24 37h3M29 37h3M20 38h4M25 38h1M27 38h4" /> oke="#ffcfc6" d="M17 19h3M31 19h3M17 20h2M32 20h2M17 21h1M33 21h1" /> <path stroke="#ff9716" d="M20 24h2M19 25h1M22 25h1M19 26h1M22 26h1M20 27h2" /> <path stroke="#ffc0b4" d="M18 28h2M31 28h2" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #069</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Grey (Shiny)</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>Poptart with rainbow in space</meow:Gear> <meow:Message>Nyan nyan nyan nyan nyan nyan nyan nyan nyan nyan nyan nyan nyan nyan nyan nyan nyan</meow:Message> <path stroke="#353354" d="M0 0h50M0 1h50M0 2h50M0 3h10M11 3h39M0 4h10M11 4h24M36 4h14M0 5h50M0 6h7M9 6h1M11 6h1M14 6h35M0 7h50M0 8h10M11 8h39M0 9h10M11 9h39M0 10h50M0 11h44M45 11h5M0 12h13M38 12h5M44 12h1M46 12h4M0 13h12M39 13h5M45 13h5M3 14h8M40 14h10M3 15h3M40 15h10M40 16h10M40 17h10M40 18h10M40 19h10M40 20h10M40 21h10M40 22h10M40 23h9M40 24h9M40 25h10M40 26h6M48 26h1M40 27h10M40 28h9M40 29h9M40 30h10M40 31h10M40 32h10M40 33h10M40 34h10M39 35h11M38 36h12M33 37h17M0 38h3M32 38h18M0 39h3MM 6 39h8M18 39h2M31 39h19M0 40h50M0 41h1M2 41h41M44 41h6M0 42h43M44 42h6M0 43h16M17 43h24M43 43h1M46 43h4M0 44h15M16 44h1M18 44h25M44 44h6M0 45h16M17 45h26M44 45h6M0 46h50M0 47h34M35 47h15M0 48h50M0 49h50" /> <path stroke="#ffffff" d="M10 3h1M10 4h1M35 4h1M7 6h2M10 6h1M12 6h2M49 6h1M10 8h1M10 9h1M44 11h1M43 12h1M45 12h1M44 13h1M49 23h1M49 24h1M20 25h1M30 25h1M46 26h2M49 26h1M49 28h1M49 29h1M1 41h1M43 41h1M43 42h1M16 43h1M41 43h2M44 43h2M15 44h1M17 44h1M43 44h1M16 45h1M43 45h1M34 47h1" /> <path stroke="#000000" d="MM 13 12h25M12 13h1M38 13h1M11 14h1M39 14h1M11 15h1M39 15h1M11 16h1M39 16h1M11 17h1M16 17h3M32 17h3M39 17h1M11 18h1M15 18h1M19 18h2M30 18h2M35 18h1M39 18h1M11 19h1M15 19h1M21 19h9M35 19h1M39 19h1M11 20h1M15 20h1M19 20h2M30 20h2M35 20h1M39 20h1M11 21h1M15 21h1M18 21h1M32 21h1M35 21h1M39 21h1M11 22h1M15 22h1M17 22h1M33 22h1M35 22h1M39 22h1M11 23h1M15 23h2M34 23h2M39 23h1M11 24h1M16 24h1M19 24h3M29 24h3M34 24h1M39 24h1M11 25h1M15 25h1M18 25h1M22 25h1M28 25h1M32 25h1M35 25h1M39 25h1M11 26h1M15 26h1M35 26h1M39 26h1M11 27h1M M15 27h1M35 27h1M39 27h1M11 28h1M15 28h1M23 28h1M25 28h1M27 28h1M35 28h1M39 28h1M11 29h1M15 29h1M24 29h1M26 29h1M35 29h1M39 29h1M11 30h1M16 30h1M34 30h1M39 30h1M11 31h1M16 31h1M34 31h1M39 31h1M11 32h1M17 32h2M32 32h2M39 32h1M11 33h1M19 33h13M39 33h1M11 34h1M39 34h1M12 35h1M38 35h1M13 36h25M13 37h1M17 37h2M22 37h2M27 37h2M32 37h1M13 38h1M18 38h2M24 38h1M26 38h1M31 38h1M14 39h4M20 39h11" /> <path stroke="#f5e2a1" d="M13 13h25M12 14h2M37 14h2M12 15h1M38 15h1M12 16h1M38 16h1M12 17h1M38 17h1M12 18h1M38 18h1M12 19h1M38 M 19h1M12 20h1M38 20h1M12 21h1M38 21h1M12 22h1M38 22h1M12 23h1M38 23h1M12 24h1M38 24h1M12 25h1M38 25h1M12 26h1M38 26h1M12 27h1M38 27h1M12 28h1M38 28h1M12 29h1M38 29h1M12 30h1M38 30h1M12 31h1M38 31h1M12 32h1M38 32h1M12 33h1M38 33h1M12 34h2M37 34h2M13 35h25" /> <path stroke="#ff0000" d="M0 14h3M0 15h3M6 15h5M0 16h11M0 17h11M3 18h8M3 19h4" /> <path stroke="#f08fb8" d="M14 14h3M18 14h19M13 15h15M29 15h9M13 16h7M21 16h17M13 17h2M19 17h6M26 17h6M35 17h2M13 18h2M21 18h9M36 18h2M13 19h2M36 19h2M13 20h2M37 20h1M13 21h2M36 2M 1h2M13 22h1M36 22h2M13 23h2M36 23h2M13 24h3M35 24h1M37 24h1M13 25h2M36 25h2M13 26h2M36 26h1M13 27h2M36 27h2M13 28h2M36 28h2M13 29h1M36 29h2M13 30h3M35 30h3M13 31h3M36 31h2M13 32h3M34 32h4M13 33h6M32 33h1M34 33h4M14 34h8M23 34h7M31 34h6" /> <path stroke="#c76bcd" d="M17 14h1M28 15h1M20 16h1M15 17h1M25 17h1M37 17h1M36 20h1M14 22h1M36 24h1M37 26h1M14 29h1M35 31h1M16 32h1M33 33h1M22 34h1M30 34h1" /> <path stroke="#ff7100" d="M0 18h3M0 19h3M7 19h4M0 20h11M0 21h11M3 22h8M3 23h3" /> <path stroke="#8b8b8b" d="M16 18h3M3M 2 18h3M16 19h1M20 19h1M30 19h1M34 19h1M16 20h1M21 20h9M34 20h1M16 21h1M19 21h13M34 21h1M16 22h1M18 22h15M34 22h1M17 23h17M17 24h2M22 24h7M32 24h2M16 25h2M23 25h5M33 25h2M16 26h3M22 26h7M32 26h3M16 27h3M22 27h7M32 27h3M16 28h2M20 28h3M24 28h1M26 28h1M28 28h3M33 28h2M16 29h8M25 29h1M27 29h8M17 30h17M17 31h17M19 32h13M14 37h3M19 37h3M24 37h3M29 37h3M14 38h4M20 38h4M25 38h1M27 38h4" /> <path stroke="#dbbeb8" d="M17 19h3M31 19h3M17 20h2M32 20h2M17 21h1M33 21h1" /> <path stroke="#ffd000" d="M0 22h3M0 23h3M6 23h5M0 24h1M 1M0 25h11M3 26h8M3 27h3" /> <path stroke="#a2c166" d="M19 25h1M21 25h1M29 25h1M31 25h1M19 26h3M29 26h3" /> <path stroke="#64ff00" d="M0 26h3M0 27h3M6 27h5M0 28h11M0 29h11M3 30h8M3 31h3" /> <path stroke="#90af56" d="M19 27h3M29 27h3" /> <path stroke="#e6a0a2" d="M18 28h2M31 28h2" /> <path stroke="#0072ff" d="M0 30h3M0 31h3M6 31h5M0 32h11M0 33h11M3 34h8M3 35h3" /> <path stroke="#8a00ff" d="M0 34h3M0 35h3M6 35h6M0 36h13M0 37h13M3 38h10M3 39h3" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #040</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Orange</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>Hat</meow:Gear> <meow:Message>GM</meow:Message> <path stroke="#88a64b" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 7h21M30 7M h20M0 8h21M30 8h20M0 9h21M30 9h20M0 10h21M30 10h20M0 11h21M30 11h20M0 12h21M30 12h20M0 13h21M30 13h20M0 14h19M32 14h18M0 15h19M32 15h18M0 16h19M32 16h18M0 17h18M33 17h17M0 18h17M34 18h16M0 19h15M36 19h14M0 20h14M37 20h13M0 21h13M38 21h12M0 22h14M37 22h13M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h14M37 26h13M0 27h13M38 27h12M0 28h14M37 28h13M0 29h14M37 29h13M0 30h15M36 30h14M0 31h16M35 31h15M0 32h18M33 32h17M0 33h20M31 33h19M0 34h19M32 34h18M0 35h13M15 35h4M32 35h18M0 36h13M16 36h2M33 36h17M0 37h13M33 M 37h17M0 38h14M33 38h17M0 39h15M32 39h18M0 40h20M31 40h19M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M21 7h9M21 8h1M29 8h1M21 9h1M29 9h1M21 10h1M29 10h1M21 11h1M29 11h1M21 12h1M29 12h1M21 13h1M29 13h1M19 14h13M19 15h1M31 15h1M19 16h13M18 17h2M31 17h2M17 18h1M33 18h1M15 19h2M34 19h2M14 20h1M36 20h1M13 21h1M17 21h1M33 21h1M37 21h1M14 22h3M29 22h3M34 22h3M15 23h1M20 23h2M28 23h1M32 23h1M35 23h1M15 24h1M19 24h1M22 24h1M35 24h1M15 25h1M25 25h1M35 25h1M14 26h1M24M 26h3M36 26h1M13 27h1M37 27h1M14 28h1M36 28h1M14 29h1M36 29h1M15 30h1M35 30h1M16 31h2M33 31h2M18 32h4M23 32h2M26 32h2M29 32h4M20 33h1M22 33h2M25 33h1M27 33h2M30 33h1M19 34h1M23 34h2M26 34h2M31 34h1M13 35h2M19 35h1M31 35h1M13 36h1M15 36h1M18 36h1M32 36h1M13 37h1M16 37h3M32 37h1M14 38h1M18 38h1M32 38h1M15 39h5M21 39h1M23 39h1M27 39h1M29 39h1M31 39h1M20 40h11" /> <path stroke="#1f1f1f" d="M22 8h5M22 9h1M24 9h3M22 10h1M24 10h3M22 11h5M22 12h1M24 12h3M22 13h5" /> <path stroke="#141414" d="M27 8h2M27 9h2M27 10h2M27 11hM 2M27 12h2M27 13h2M27 15h4" /> <path stroke="#ffffff" d="M23 9h1M23 10h1M23 12h1M30 23h1" /> <path stroke="#181818" d="M20 15h7" /> <path stroke="#6f4b23" d="M20 17h5M18 18h6M19 19h4M19 20h1M31 28h2M29 29h5M30 30h3M24 35h1M26 35h1M14 36h1M25 36h1M30 36h2M15 37h1M29 37h3M30 38h2M30 39h1" /> <path stroke="#ffe4c5" d="M25 17h2M24 18h4M23 19h3M20 20h4M23 26h1M27 26h2M22 27h6M23 28h5M33 28h3M17 29h1M24 29h3M34 29h2M16 30h3M33 30h2M18 31h3M30 31h3M14 37h1" /> <path stroke="#fe9800" d="M27 17h4M28 18h5M17 19h2M26 19h8M M15 20h4M24 20h12M18 21h15M17 22h12M32 22h2M16 23h4M22 23h6M33 23h2M16 24h3M20 24h2M23 24h6M32 24h3M16 25h9M26 25h3M32 25h3M15 26h3M20 26h3M29 26h2M33 26h3M14 27h8M28 27h9M15 28h8M28 28h3M15 29h2M18 29h6M27 29h2M19 30h11M21 31h9M22 32h1M25 32h1M28 32h1M21 33h1M29 33h1M20 34h3M25 34h1M28 34h3M20 35h4M25 35h1M27 35h4M19 36h6M26 36h4M19 37h10M15 38h3M19 38h11M20 39h1M22 39h1M24 39h3M28 39h1" /> <path stroke="#ffc8ca" d="M14 21h3M34 21h3" /> <path stroke="#9bb000" d="M29 23h1M31 23h1M29 24h3" /> <path stroke="#7f910Ly1" d="M29 25h3" /> <path stroke="#ffa1a4" d="M18 26h2M31 26h2" /> <path stroke="#292929" d="M24 33h1M26 33h1" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #005</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Grey</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>Pepe</meow:Gear> <meow:Message>Ugh, can you guys stop trading?</meow:Message> <path stroke="#00dbdc" d="M0 0h50M0 1h50M0 2h50M0 3h23M26 3M h1M30 3h20M0 4h22M31 4h19M0 5h21M32 5h5M0 6h20M33 6h3M0 7h19M33 7h3M0 8h18M33 8h2M0 9h18M33 9h1M0 10h18M33 10h2M0 11h18M33 11h3M0 12h18M33 12h3M0 13h19M32 13h5M0 14h18M32 14h18M0 15h16M35 15h15M0 16h15M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h16M35 28h15M0 29h16M36 29h14M0 30h17M36 30h14M0 31h19M36 31h14M0 32h20M35 32h15M0 33h19M34 33h16M0 34h19M33 34h17M0 3M 5h18M33 35h17M0 36h17M33 36h17M0 37h16M33 37h17M0 38h17M32 38h18M0 39h20M31 39h19M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#2d471f" d="M23 3h3M27 3h3M22 4h1M26 4h1M30 4h1M21 5h1M31 5h1M20 6h1M32 6h1M19 7h1M32 7h1M18 8h1M32 8h1M18 9h1M32 9h1M18 10h1M32 10h1M18 11h1M32 11h1M18 12h1M32 12h1M19 13h1M31 13h1M18 14h1M20 14h1M30 14h2M18 15h1M21 15h9M31 15h1M18 16h3M23 16h1M29 16h3M21 17h1M24 17h4M30 17h1M22 18h1M25 18h1M28 18h1M31 18h1M23 19h1M25 19h1M29 19h1M31 19M h1M24 20h1M30 20h1" /> <path stroke="#5fa636" d="M23 4h3M27 4h3M22 5h4M27 5h4M21 6h6M28 6h4M20 7h3M19 8h5M19 9h13M19 10h3M19 11h3M19 12h4M20 13h11M21 14h9M23 18h2M29 18h2M24 19h1M30 19h1" /> <path stroke="#497c2a" d="M26 5h1M27 6h1M27 7h1M27 8h2" /> <path stroke="#000000" d="M37 5h13M36 6h1M25 7h1M30 7h1M36 7h1M38 7h1M41 7h1M43 7h4M48 7h1M25 8h2M30 8h2M35 8h1M38 8h1M41 8h1M43 8h1M48 8h1M34 9h1M38 9h1M41 9h1M43 9h1M45 9h2M48 9h2M35 10h1M38 10h1M41 10h1M43 10h1M46 10h1M48 10h1M36 11h1M38 11h4M43 11h4M48 11h1M36 12M h1M37 13h13M16 15h2M32 15h3M15 16h1M35 16h1M15 17h1M35 17h1M15 18h1M19 18h2M35 18h1M15 19h1M18 19h1M32 19h1M35 19h1M15 20h1M17 20h1M33 20h1M35 20h1M15 21h2M34 21h2M16 22h1M34 22h1M15 23h1M20 23h2M29 23h2M35 23h1M15 24h1M20 24h2M29 24h2M35 24h1M15 25h1M23 25h1M25 25h1M27 25h1M35 25h1M15 26h1M24 26h1M26 26h1M35 26h1M15 27h1M25 27h1M35 27h1M16 28h1M34 28h1M16 29h1M33 29h3M17 30h2M32 30h1M35 30h1M19 31h2M25 31h3M31 31h1M35 31h1M20 32h1M24 32h1M27 32h1M34 32h1M19 33h1M23 33h1M27 33h1M33 33h1M19 34h1M26 34h1M32 34h1M18 3M 5h1M25 35h1M32 35h1M17 36h2M32 36h1M16 37h1M18 37h1M32 37h1M17 38h3M21 38h1M29 38h1M31 38h1M20 39h11" /> <path stroke="#ffffff" d="M37 6h13M23 7h2M26 7h1M28 7h2M31 7h1M37 7h1M39 7h2M42 7h1M47 7h1M49 7h1M24 8h1M29 8h1M36 8h2M39 8h2M42 8h1M44 8h4M49 8h1M35 9h3M39 9h2M42 9h1M44 9h1M47 9h1M36 10h2M39 10h2M42 10h1M44 10h2M47 10h1M49 10h1M37 11h1M42 11h1M47 11h1M49 11h1M37 12h13" /> <path stroke="#d04e25" d="M22 10h10M22 11h1M23 12h9" /> <path stroke="#2f2f2f" d="M23 11h9" /> <path stroke="#2247c6" d="M19 14h1M19 15hM 2M30 15h1M21 16h2M24 16h5M22 17h2M28 17h2" /> <path stroke="#707070" d="M16 16h2M32 16h3M16 17h1M20 17h1M34 17h1M16 18h1M21 18h1M26 18h2M34 18h1M16 19h1M19 19h4M26 19h3M34 19h1M16 20h1M18 20h6M25 20h5M31 20h2M34 20h1M17 21h17M17 22h3M22 22h7M31 22h3M16 23h3M23 23h5M32 23h3M16 24h3M23 24h5M32 24h3M16 25h4M22 25h1M24 25h1M26 25h1M28 25h1M31 25h4M16 26h8M27 26h8M16 27h9M26 27h9M17 28h17M17 29h16M19 30h13M33 30h2M21 31h4M28 31h3M32 31h3M21 32h3M25 32h2M28 32h6M20 33h3M24 33h3M28 33h5M20 34h6M27 34h5M19 35h6M26 35h6M19M2 36h13M17 37h1M19 37h13M20 38h1M22 38h7M30 38h1" /> <path stroke="#fabeb0" d="M17 17h3M31 17h3M17 18h2M32 18h2M17 19h1M33 19h1" /> <path stroke="#c3d57f" d="M20 22h2M29 22h2M19 23h1M22 23h1M28 23h1M31 23h1M19 24h1M22 24h1M28 24h1M31 24h1M20 25h2M29 25h2" /> <path stroke="#ffb790" d="M25 26h1" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #051</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Grey, White</meow:Skin> <meow:Eyes>Closed</meow:Eyes> <meow:Gear>Lucy the Snail</meow:Gear> <meow:Message>Who lives in a pineapple under the sea?</meow:Message> <path stroke="#00b7ff" d="M0 0h5M 0M0 1h11M13 1h37M0 2h10M11 2h2M14 2h36M0 3h10M11 3h2M14 3h36M0 4h6M8 4h2M11 4h2M14 4h1M17 4h33M0 5h5M6 5h2M9 5h2M12 5h1M15 5h2M18 5h32M0 6h4M5 6h4M11 6h2M14 6h3M23 6h21M46 6h4M0 7h4M5 7h6M12 7h5M24 7h1M28 7h1M32 7h11M44 7h2M47 7h3M0 8h5M6 8h3M10 8h5M33 8h9M43 8h4M48 8h2M0 9h6M9 9h1M11 9h1M13 9h1M33 9h9M43 9h4M48 9h2M0 10h9M10 10h2M13 10h2M33 10h9M43 10h3M47 10h3M0 11h9M10 11h2M13 11h2M32 11h7M42 11h1M44 11h1M46 11h4M0 12h9M10 12h2M14 12h1M32 12h6M39 12h3M43 12h2M46 12h1M0 13h10M12 13h2M32 13h6M39 13h5M45 13h1M47 13M h3M0 14h15M32 14h7M43 14h7M0 15h16M32 15h7M40 15h5M0 16h16M32 16h6M39 16h3M43 16h3M47 16h3M0 17h2M5 17h11M35 17h3M39 17h2M42 17h1M44 17h3M48 17h2M0 18h1M2 18h3M6 18h2M11 18h4M36 18h3M41 18h2M44 18h3M48 18h2M1 19h4M6 19h1M8 19h3M13 19h2M36 19h8M47 19h3M1 20h4M6 20h1M8 20h5M14 20h1M36 20h14M1 21h5M7 21h6M14 21h1M36 21h14M1 22h5M7 22h3M13 22h2M36 22h14M1 23h8M10 23h5M36 23h14M0 24h1M2 24h6M9 24h7M35 24h15M1 25h3M6 25h3M12 25h3M36 25h14M1 26h3M6 26h6M13 26h2M36 26h14M0 27h10M13 27h2M36 27h14M0 28h10M13 28h2M36 28h2M40 M 28h4M45 28h5M0 29h1M2 29h4M7 29h4M13 29h2M36 29h1M40 29h1M42 29h2M45 29h5M1 30h1M3 30h2M8 30h3M13 30h2M36 30h1M40 30h1M42 30h1M45 30h5M0 31h1M2 31h3M13 31h1M42 31h1M45 31h5M0 32h1M2 32h3M15 32h1M37 32h1M41 32h2M45 32h5M0 33h1M2 33h4M14 33h1M17 33h2M32 33h2M39 33h1M44 33h6M0 34h1M2 34h2M5 34h1M8 34h1M17 34h2M32 34h3M36 34h1M39 34h1M44 34h6M0 35h2M6 35h1M15 35h3M33 35h2M43 35h7M0 36h4M13 36h4M33 36h3M41 36h9M0 37h8M13 37h3M33 37h4M39 37h1M41 37h9M0 38h9M10 38h2M13 38h3M32 38h5M39 38h1M41 38h9M0 39h9M10 39h2M13 39h7M3M 1 39h7M39 39h1M41 39h9M0 40h8M14 40h4M33 40h3M43 40h7M0 41h9M13 41h7M31 41h6M42 41h8M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#c7ea65" d="M11 1h2M10 2h1M13 2h1M10 3h1M13 3h1M6 4h2M10 4h1M13 4h1M15 4h2M5 5h1M8 5h1M11 5h1M13 5h2M17 5h1M4 6h1M9 6h2M13 6h1M17 6h1M4 7h1M11 7h1M5 8h1M9 8h1M15 8h1M6 9h3M10 9h1M12 9h1M14 9h1M9 10h1M12 10h1M9 11h1M12 11h1M9 12h1M12 12h2M10 13h2M14 13h1" /> <path stroke="#000000" d="M18 6h5M17 7h1M23 7h1M25 7h3M29 7h3M16 8h1M24 8h1M28 8h1M32 8h1M15 M 9h1M24 9h1M27 9h2M31 9h2M15 10h1M24 10h1M28 10h1M32 10h1M15 11h1M25 11h7M15 12h1M25 12h1M28 12h2M31 12h1M15 13h1M26 13h1M28 13h2M31 13h1M15 14h1M26 14h1M28 14h2M31 14h1M16 15h1M26 15h1M29 15h1M31 15h1M16 16h1M25 16h3M29 16h1M31 16h1M16 17h2M27 17h1M29 17h6M15 18h1M18 18h10M31 18h1M35 18h1M15 19h1M19 19h1M32 19h1M35 19h1M15 20h1M18 20h1M21 20h11M35 20h1M15 21h1M18 21h3M32 21h1M35 21h1M15 22h1M17 22h1M33 22h1M35 22h1M15 23h2M34 23h2M16 24h1M34 24h1M15 25h1M20 25h3M28 25h3M35 25h1M15 26h1M35 26h1M15 27h1M25 27h1M35 27M h1M15 28h1M24 28h3M35 28h1M15 29h1M35 29h1M16 30h1M34 30h1M16 31h1M34 31h1M17 32h2M32 32h2M19 33h2M30 33h2M19 34h1M31 34h1M18 35h1M32 35h1M17 36h2M32 36h1M16 37h1M18 37h1M22 37h2M27 37h2M32 37h1M16 38h4M24 38h1M26 38h1M31 38h1M20 39h11" /> <path stroke="#b85fff" d="M44 6h2M43 7h1M46 7h1M42 8h1M47 8h1M42 9h1M47 9h1M42 10h1M46 10h1M39 11h3M43 11h1M45 11h1M38 12h1M42 12h1M45 12h1M47 12h3M38 13h1M44 13h1M46 13h1M39 14h4M39 15h1M45 15h5M38 16h1M42 16h1M46 16h1M38 17h1M41 17h1M43 17h1M47 17h1M39 18h2M43 18h1M47 18h1M44 M <path stroke="#ffdd7b" d="M18 7h5M17 8h7M16 9h2M20 9h1M22 9h2M16 10h8M17 11h2M21 11h2M24 11h1M16 12h2M19 12h2M22 12h3M16 13h2M19 13h3M23 13h3M16 14h3M20 14h2M23 14h3M17 15h3M21 15h1M23 15h3M17 16h5M23 16h2M18 17h4M23 17h4" /> <path stroke="#ffffff" d="M25 8h1M29 8h1M25 9h1M29 9h1M25 10h3M29 10h3M21 21h1M29 21h3M18 22h2M31 22h2M17 23h2M32 23h2M17 24h1M33 24h1M16 25h2M33 25h2M16 26h1M34 26h1M16 27h1M34 27h1M16 28h1M34 28h1M16 29h2M33 29h2M17 30h2M32 30h2M17 31h4M30 31h4M19 32h13M21 33h9M20 34h11M19 35h13M1M 9 36h13M19 37h3M24 37h3M29 37h3M20 38h2M25 38h1M29 38h2" /> <path stroke="#91d9ff" d="M26 8h2M30 8h2M26 9h1M30 9h1" /> <path stroke="#235c82" d="M18 9h2M21 9h1M16 11h1M23 11h1" /> <path stroke="#e03700" d="M19 11h2M18 12h1M21 12h1M18 13h1M22 13h1M19 14h1M22 14h1M20 15h1M22 15h1M22 16h1M22 17h1" /> <path stroke="#bb7d49" d="M26 12h2M30 12h1M27 13h1M30 13h1M27 14h1M30 14h1M27 15h2M30 15h1M28 16h1M30 16h1M28 17h1M28 18h3" /> <path stroke="#2963c4" d="M2 17h3M1 18h1M5 18h1M8 18h3M0 19h1M5 19h1M7 19h1M11 19h2M0 20hM 1M5 20h1M7 20h1M13 20h1M0 21h1M6 21h1M13 21h1M0 22h1M6 22h1M10 22h3M0 23h1M9 23h1M1 24h1M8 24h1M0 25h1M4 25h2M9 25h3M0 26h1M4 26h2M12 26h1M12 27h1M12 28h1M1 29h1M6 29h1M0 30h1M2 30h1M1 31h1M6 31h1M8 31h3M1 32h1M1 33h1M6 33h1M1 34h1M6 34h1M2 35h2M5 35h1" /> <path stroke="#606060" d="M16 18h2M32 18h3M16 19h1M34 19h1M16 20h1M34 20h1M16 21h1M34 21h1M16 22h1M34 22h1" /> <path stroke="#ffcfc6" d="M17 19h2M33 19h1M17 20h1M32 20h2M17 21h1M33 21h1" /> <path stroke="#ea7133" d="M20 19h12M19 20h2" /> <path stroke="#7b7b7bM " d="M22 21h7M20 22h11M19 23h13M18 24h15M18 25h2M23 25h5M31 25h2M17 26h17M17 27h2M21 27h4M26 27h4M32 27h2M17 28h2M21 28h3M27 28h3M32 28h2M18 29h15M19 30h13M21 31h9M17 37h1M22 38h2M27 38h2" /> <path stroke="#fb7477" d="M10 27h2M10 28h2M39 30h1M39 31h1M9 32h1M16 32h1M39 32h1M44 32h1M9 33h1M16 33h1M43 33h1M10 34h1M15 34h2M37 34h1M42 34h2M13 35h2M36 35h2M41 35h2M12 36h1M11 37h2M38 37h1M12 38h1M38 38h1M12 39h1M38 39h1" /> <path stroke="#ffc0b4" d="M19 27h2M30 27h2M19 28h2M30 28h2" /> <path stroke="#fc9800" d="M38 28hM 1M37 29h2M41 29h1M44 29h1M5 30h2M12 30h1M35 30h1M37 30h1M41 30h1M44 30h1M5 31h1M11 31h2M35 31h2M40 31h2M6 32h2M40 32h1M13 33h1M38 33h1M42 33h1M38 34h1M8 35h1M11 35h1M38 35h1M5 36h2M8 36h2M11 36h1M40 37h1" /> <path stroke="#ffa3a5" d="M39 28h1M11 29h2M39 29h1M7 30h1M15 30h1M38 30h1M7 31h1M15 31h1M38 31h1M44 31h1M8 32h1M12 32h1M34 32h2M38 32h1M8 33h1M15 33h1M34 33h2M9 34h1M12 34h3M35 34h1M9 35h1M12 35h1M35 35h1M36 36h4M37 37h1M37 38h1" /> <path stroke="#ffc065" d="M44 28h1M11 30h1M43 30h1M14 31h1M37 31h1M43 31h1M5 M 32h1M10 32h2M13 32h2M36 32h1M43 32h1M7 33h1M10 33h3M36 33h2M40 33h2M4 34h1M7 34h1M11 34h1M40 34h2M4 35h1M7 35h1M10 35h1M39 35h2M4 36h1M7 36h1M10 36h1M40 36h1M8 37h3M9 38h1M40 38h1M9 39h1M40 39h1" /> <path stroke="#008bc9" d="M8 40h6M18 40h15M36 40h7M9 41h4M20 41h11M37 41h5" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #009</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>White</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meeeeooowwwwww</meow:Message> <path stroke="#f78285" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h15M18 14h14M35 14h15M0 15h14M20 15h10M36 15h14M0 16h14M36 16h14M0 17h14M36 17h14M0 18h14M36 18h14M0 19h14M36 19h14M0 20h15M35 20h15M0 21h15M35 21h15M0 22h14M36 22h14M0 23h14M36 23h14M0 24h13M37 24h13M0 25h12M38 25h12M0 26h13M37 26h13M0 27h12M38 27h12M0 28h13M37 28h13M0 29h14M36 29h14M0 30h15M36 30h14M0 31h17M36 31h14M0 32h14M16 32h3M35 32h15M0 33h13M17 33h1M34 33h16M0 34h13M17 34h1M33 34h17M0 35h14M33 35h17M0 36h15M33 36h17M0 37h16M33 37h17M0 38h17M32 38h18M M0 39h19M31 39h19M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M15 14h3M32 14h3M14 15h1M18 15h2M30 15h2M35 15h1M14 16h1M20 16h10M35 16h1M14 17h1M18 17h2M30 17h2M35 17h1M14 18h1M17 18h1M32 18h1M35 18h1M14 19h1M16 19h1M33 19h1M35 19h1M15 20h1M34 20h1M15 21h1M34 21h1M14 22h1M19 22h3M29 22h3M35 22h1M14 23h1M18 23h1M22 23h1M28 23h1M32 23h1M35 23h1M13 24h1M36 24h1M12 25h1M24 25h1M26 25h1M37 25h1M13 26h1M25 26h1M36 26h1M12 27h1M37 27h1M13 28h1M36 28h1M14 29M h1M33 29h3M15 30h2M32 30h1M35 30h1M17 31h3M25 31h3M31 31h1M35 31h1M14 32h2M19 32h1M24 32h1M27 32h1M34 32h1M13 33h1M16 33h1M18 33h1M23 33h1M27 33h1M33 33h1M13 34h1M16 34h1M18 34h1M26 34h1M32 34h1M14 35h1M17 35h1M25 35h1M32 35h1M15 36h1M17 36h1M32 36h1M16 37h2M32 37h1M17 38h2M20 38h1M22 38h1M27 38h1M29 38h1M31 38h1M19 39h12" /> <path stroke="#ffffff" d="M15 15h3M32 15h3M15 16h1M19 16h1M30 16h1M34 16h1M15 17h1M20 17h10M34 17h1M15 18h1M18 18h14M34 18h1M15 19h1M17 19h16M34 19h1M16 20h18M16 21h18M15 22h4M22 22h7M32 22h3M M15 23h3M20 23h1M23 23h5M30 23h1M33 23h2M14 24h5M22 24h7M32 24h4M13 25h5M22 25h2M27 25h2M33 25h4M14 26h4M20 26h5M26 26h5M33 26h3M13 27h24M14 28h22M15 29h18M17 30h15M33 30h2M20 31h5M28 31h3M32 31h3M20 32h4M25 32h2M28 32h6M14 33h2M19 33h4M24 33h3M28 33h5M14 34h2M19 34h7M27 34h5M15 35h2M18 35h7M26 35h6M16 36h1M18 36h14M18 37h14M19 38h1M21 38h1M23 38h4M28 38h1M30 38h1" /> <path stroke="#ffd4c6" d="M16 16h3M31 16h3M16 17h2M32 17h2M16 18h1M33 18h1" /> <path stroke="#45bff5" d="M19 23h1M21 23h1M19 24h3" /> ="#ffec52" d="M29 23h1M31 23h1M29 24h3" /> <path stroke="#ffe0d3" d="M18 25h1M32 25h1M18 26h2M31 26h2" /> <path stroke="#6dd1ff" d="M19 25h3" /> <path stroke="#ffb790" d="M25 25h1" /> <path stroke="#fff07e" d="M29 25h3" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #023</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Black</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>Chef hat and egg whisk</meow:Gear> <meow:Message>Time to cook</meow:Message> <path stroke="#6cffa6" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4hM 50M0 5h23M28 5h22M0 6h22M29 6h21M0 7h21M30 7h20M0 8h20M31 8h19M0 9h19M32 9h18M0 10h18M33 10h17M0 11h18M33 11h17M0 12h18M33 12h17M0 13h19M32 13h18M0 14h20M31 14h19M0 15h16M19 15h2M30 15h2M35 15h15M0 16h15M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h1M39 21h11M0 22h16M35 22h1M37 22h1M40 22h10M0 23h15M37 23h1M39 23h1M41 23h9M0 24h15M37 24h1M39 24h1M41 24h9M0 25h15M37 25h1M39 25h1M41 25h9M0 26h15M37 26h1M40 26h10M0 27h15M36 27h1M39 27h11M0 28h16M39 28h11M0 29h16M39 29h11M0M 30h17M39 30h11M0 31h16M39 31h11M0 32h16M36 32h14M0 33h15M36 33h14M0 34h15M36 34h14M0 35h13M36 35h14M0 36h13M36 36h14M0 37h13M35 37h15M0 38h17M34 38h16M0 39h19M32 39h18M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M23 5h5M22 6h1M28 6h1M21 7h1M29 7h1M20 8h2M29 8h2M19 9h1M31 9h1M18 10h1M32 10h1M18 11h1M32 11h1M18 12h1M32 12h1M19 13h1M31 13h1M20 14h2M29 14h2M16 15h3M21 15h1M29 15h1M32 15h3M15 16h1M19 16h3M29 16h3M35 16h1M15 17h1M21 17h9M35 17h1M15 18h1MM 19 18h3M29 18h3M35 18h1M15 19h1M18 19h1M21 19h9M32 19h1M35 19h1M15 20h1M17 20h1M33 20h1M35 20h1M15 21h2M34 21h2M16 22h1M34 22h1M15 23h1M20 23h2M29 23h1M35 23h1M15 24h1M20 24h2M28 24h1M30 24h1M35 24h1M15 25h1M35 25h1M15 26h1M24 26h1M26 26h1M35 26h1M15 27h1M25 27h1M35 27h1M16 28h1M34 28h4M16 29h1M34 29h1M37 29h1M17 30h2M32 30h2M37 30h1M16 31h1M19 31h2M30 31h2M36 31h1M16 32h1M24 32h3M35 32h1M15 33h1M34 33h2M15 34h1M35 34h1M13 35h3M35 35h1M13 36h1M15 36h1M35 36h1M13 37h4M34 37h1M17 38h2M22 38h1M24 38h1M26 38h1M28 38h1MM 32 38h2M19 39h13" /> <path stroke="#ffffff" d="M23 6h5M22 7h7M22 8h7M20 9h2M23 9h5M29 9h2M19 10h13M19 11h13M19 12h13M20 13h11M22 14h1M24 14h3M28 14h1M22 15h1M24 15h3M28 15h1" /> <path stroke="#bcbcbc" d="M22 9h1M28 9h1M23 14h1M27 14h1M23 15h1M27 15h1M22 16h7M22 18h7" /> <path stroke="#2c2c2c" d="M16 16h3M32 16h3M16 17h1M20 17h1M30 17h1M34 17h1M16 18h1M34 18h1M16 19h1M19 19h2M30 19h2M34 19h1M16 20h1M18 20h15M34 20h1M17 21h17M17 22h3M22 22h12M16 23h3M23 23h6M30 23h5M17 24h2M23 24h5M29 24h1M31 24h3M16 25h4M22 25h13M M17 26h1M20 26h4M27 26h4M33 26h1M16 27h9M26 27h9M17 28h17M17 29h17M35 29h2M19 30h13M34 30h3M17 31h2M21 31h9M32 31h4M17 32h7M27 32h8M16 33h18M18 34h15M16 35h19M14 36h1M19 36h13M17 37h17M19 38h3M23 38h1M25 38h1M27 38h1M29 38h3" /> <path stroke="#f5b3a5" d="M17 17h3M31 17h3M17 18h2M32 18h2M17 19h1M33 19h1M25 26h1" /> <path stroke="#a8a8a8" d="M37 21h2M36 22h1M39 22h1M40 23h1M38 24h1M40 24h1M40 25h1M36 26h1M38 26h2M37 27h2M38 28h1M38 29h1M38 30h1M37 31h2" /> <path stroke="#33b6fb" d="M20 22h2M19 23h1M22 23h1M19 24h1L M22 24h1M20 25h2" /> <path stroke="#d6d6d6" d="M38 22h1M36 23h1M38 23h1M36 24h1M36 25h1M38 25h1" /> <path stroke="#363636" d="M16 24h1M34 24h1M16 26h1M34 26h1M16 34h2M33 34h2M16 36h3M32 36h3" /> <path stroke="#e79e8e" d="M18 26h2M31 26h2" /> text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #004</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Grey</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meeeeooowwwwww</meow:Message> <path stroke="#c3ff81" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50MM 0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h50M0 16h16M19 16h13M35 16h15M0 17h15M21 17h9M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h15M36 22h14M0 23h16M35 23h15M0 24h15M36 24h14M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h15M36 28h14M0 29h16M35 29h15M0 30h16M35 30h15M0 31h17M34 31h16M0 32h19M32 32h18M0 33h19M32 33h18M0 34h18M33 34h17M0 35h18M33 35h17M0 36h16M33 36h17M0 37h16M32 37h18M0 38h16M19 38h1M31 38h19M0 39h50M0 40h50M0 41h50M0 42h50M0 4M 3h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 16h3M32 16h3M15 17h1M19 17h2M30 17h2M35 17h1M15 18h1M21 18h9M35 18h1M15 19h1M19 19h2M30 19h2M35 19h1M15 20h1M18 20h1M32 20h1M35 20h1M15 21h1M17 21h1M33 21h1M35 21h1M15 22h2M34 22h2M16 23h1M34 23h1M15 24h1M21 24h1M29 24h2M35 24h1M15 25h1M20 25h1M22 25h1M29 25h2M35 25h1M15 26h1M25 26h1M35 26h1M15 27h1M24 27h3M35 27h1M15 28h1M35 28h1M16 29h1M34 29h1M16 30h1M34 30h1M17 31h2M32 31h2M19 32h2M30 32h2M19 33h1M31 33h1M18 34h1M32 34h1M18 M 35h1M32 35h1M16 36h3M22 36h2M27 36h2M32 36h1M16 37h1M18 37h2M24 37h1M26 37h1M31 37h1M16 38h3M20 38h11" /> <path stroke="#707070" d="M16 17h3M32 17h3M16 18h1M20 18h1M30 18h1M34 18h1M16 19h1M21 19h2M24 19h1M26 19h1M28 19h2M34 19h1M16 20h1M19 20h6M26 20h6M34 20h1M16 21h1M18 21h15M34 21h1M17 22h17M17 23h12M31 23h3M16 24h5M22 24h6M32 24h3M16 25h4M21 25h1M23 25h5M32 25h3M18 26h7M26 26h3M31 26h2M16 27h2M20 27h4M27 27h4M33 27h2M18 28h15M17 29h17M17 30h17M19 31h13M21 32h9M20 33h11M19 34h13M19 35h13M19 36h3M24 36h3M29 36h3MMZ 17 37h1M20 37h4M25 37h1M27 37h4" /> <path stroke="#e2c6c0" d="M17 18h3M31 18h3M17 19h2M32 19h2M17 20h1M33 20h1" /> <path stroke="#616161" d="M23 19h1M25 19h1M27 19h1M25 20h1M16 26h2M33 26h2M16 28h2M33 28h2" /> <path stroke="#c3d57f" d="M29 23h2M28 24h1M31 24h1M28 25h1M31 25h1M29 26h2" /> <path stroke="#f0cdc5" d="M18 27h2M31 27h2" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #003</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Grey</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meeeeooowwwwww</meow:Message> <path stroke="#814749" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50MM 0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h16M19 15h13M35 15h15M0 16h15M21 16h9M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h14M37 26h13M0 27h13M38 27h12M0 28h14M37 28h13M0 29h14M37 29h13M0 30h15M36 30h14M0 31h16M35 31h15M0 32h18M33 32h17M0 33h15M17 33h3M31 33h19M0 34h14M18 34h1M32 34h18M0 35h14M18 35h1M32 35h18M0 36h15M33 36h17M0 37h16M33 37h17M0 38h17M33 38h17M0 39h18M32M 39h18M0 40h20M31 40h19M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 15h3M32 15h3M15 16h1M19 16h2M30 16h2M35 16h1M15 17h1M21 17h9M35 17h1M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M18 19h1M32 19h1M35 19h1M15 20h1M17 20h1M33 20h1M35 20h1M15 21h2M34 21h2M16 22h1M19 22h3M34 22h1M15 23h1M18 23h1M22 23h1M29 23h2M35 23h1M15 24h1M28 24h1M31 24h1M35 24h1M15 25h1M25 25h1M35 25h1M14 26h1M24 26h3M36 26h1M13 27h1M37 27h1M14 28h1M36 28h1M14 29h1M36 29h1M15 30h1M35 30h1MM 16 31h2M33 31h2M18 32h3M30 32h3M15 33h2M20 33h1M30 33h1M14 34h1M17 34h1M19 34h1M31 34h1M14 35h1M17 35h1M19 35h1M31 35h1M15 36h1M18 36h1M32 36h1M16 37h1M18 37h1M32 37h1M17 38h2M32 38h1M18 39h2M21 39h1M23 39h1M27 39h1M29 39h1M31 39h1M20 40h11" /> <path stroke="#707070" d="M16 16h3M32 16h3M16 17h1M20 17h1M30 17h1M34 17h1M16 18h1M21 18h9M34 18h1M16 19h1M19 19h13M34 19h1M16 20h1M18 20h15M34 20h1M17 21h17M17 22h2M22 22h12M16 23h2M23 23h6M31 23h4M16 24h3M22 24h6M29 24h2M32 24h3M16 25h3M22 25h3M26 25h9M15 26h3M20 26h4M27 M 26h4M33 26h3M14 27h23M15 28h21M15 29h21M16 30h19M18 31h15M21 32h9M21 33h9M15 34h2M20 34h3M24 34h3M28 34h3M15 35h2M20 35h4M25 35h1M27 35h4M16 36h2M19 36h6M26 36h6M17 37h1M19 37h13M19 38h13M20 39h1M22 39h1M24 39h3M28 39h1M30 39h1" /> <path stroke="#f5b3a5" d="M17 17h3M31 17h3M17 18h2M32 18h2M17 19h1M33 19h1" /> <path stroke="#98b866" d="M19 23h1M21 23h1M19 24h3" /> <path stroke="#ffffff" d="M20 23h1M23 34h1M27 34h1M24 35h1M26 35h1M25 36h1" /> <path stroke="#b3d57f" d="M19 25h3" /> <path stroke="#e79e8e" d="M18 2 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #017</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Black</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meow</meow:Message> <path stroke="#ffffff" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 7h50M0 M 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h16M19 15h13M35 15h15M0 16h15M21 16h9M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M24 25h1M26 25h1M36 25h14M0 26h15M25 26h1M36 26h14M0 27h15M36 27h14M0 28h16M35 28h15M0 29h16M35 29h15M0 30h17M34 30h16M0 31h19M32 31h18M0 32h15M17 32h3M31 32h19M0 33h14M18 33h1M32 33h18M0 34h14M18 34h1M32 34h18M0 35h15M33 35h17M0 36h16M33 36h17M0 37h17M33 37h17M0 38h18M32 3M 8h18M0 39h20M31 39h19M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 15h3M32 15h3M15 16h1M19 16h2M30 16h2M35 16h1M15 17h1M21 17h9M35 17h1M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M18 19h1M32 19h1M35 19h1M15 20h1M17 20h1M33 20h1M35 20h1M15 21h2M34 21h2M16 22h1M34 22h1M15 23h1M20 23h2M29 23h2M35 23h1M15 24h1M20 24h2M29 24h2M35 24h1M15 25h1M35 25h1M15 26h1M35 26h1M15 27h1M35 27h1M16 28h1M34 28h1M16 29h1M34 29h1M17 30h2M32 30h2M19 31h2M30 31h2M15 32h2M20M 32h1M30 32h1M14 33h1M17 33h1M19 33h1M31 33h1M14 34h1M17 34h1M19 34h1M31 34h1M15 35h1M18 35h1M32 35h1M16 36h1M18 36h1M32 36h1M17 37h2M32 37h1M18 38h2M21 38h1M23 38h1M27 38h1M29 38h1M31 38h1M20 39h11" /> <path stroke="#2c2c2c" d="M16 16h3M32 16h3M16 17h1M20 17h1M30 17h1M34 17h1M16 18h1M21 18h9M34 18h1M16 19h1M19 19h13M34 19h1M16 20h1M18 20h15M34 20h1M17 21h17M17 22h3M22 22h7M31 22h3M16 23h3M23 23h5M32 23h3M16 24h3M23 24h5M32 24h3M16 25h4M22 25h2M27 25h2M31 25h4M16 26h2M20 26h5M26 26h5M33 26h2M16 27h19M17 28h17M17 2M 9h17M19 30h13M21 31h9M21 32h9M15 33h2M20 33h11M15 34h2M20 34h11M16 35h2M19 35h13M17 36h1M19 36h13M19 37h13M20 38h1M22 38h1M24 38h3M28 38h1M30 38h1" /> <path stroke="#ffe4de" d="M17 17h3M31 17h3M17 18h2M32 18h2M17 19h1M33 19h1" /> <path stroke="#49ccff" d="M20 22h2M29 22h2M19 23h1M22 23h1M28 23h1M31 23h1M19 24h1M22 24h1M28 24h1M31 24h1M20 25h2M29 25h2" /> <path stroke="#ffd5ba" d="M25 25h1" /> <path stroke="#ffbca1" d="M18 26h2M31 26h2" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #062</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Lightgrey, White</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meeeeooowwwwww</meow:Message> <path stroke="#9193ff" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 M 5h50M0 6h50M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h16M19 15h13M35 15h15M0 16h15M21 16h9M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h16M35 28h15M0 29h16M35 29h15M0 30h17M34 30h16M0 31h16M35 31h15M0 32h16M35 32h15M0 33h15M36 33h14M0 34h13M36 34h14M0 35h13M36 35h14M0 36h14M36 36h14M0 37h15M35 37h15M0 38h17M34 38h16M0 39h19M32 39h18M0 40hM 50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 15h3M32 15h3M15 16h1M19 16h2M30 16h2M35 16h1M15 17h1M21 17h9M35 17h1M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M18 19h1M32 19h1M35 19h1M15 20h1M17 20h1M33 20h1M35 20h1M15 21h2M34 21h2M16 22h1M34 22h1M15 23h1M20 23h2M29 23h2M35 23h1M15 24h1M20 24h2M28 24h1M31 24h1M35 24h1M15 25h1M24 25h3M35 25h1M15 26h1M25 26h1M35 26h1M15 27h1M35 27h1M16 28h1M34 28h1M16 29h1M34 29h1M17 30h2M32 30h2M16 31h1M19 31h2M30 31h2M34 31M h1M16 32h1M24 32h3M34 32h1M15 33h1M35 33h1M13 34h3M35 34h1M13 35h1M15 35h1M35 35h1M14 36h2M35 36h1M15 37h2M34 37h1M17 38h2M22 38h1M24 38h1M26 38h1M28 38h1M32 38h2M19 39h13" /> <path stroke="#b2b2b2" d="M16 16h3M32 16h3M16 17h1M20 17h1M30 17h1M34 17h1M16 18h1M21 18h3M25 18h1M27 18h3M34 18h1M16 19h1M19 19h4M24 19h1M26 19h1M28 19h4M34 19h1M16 20h1M18 20h4M23 20h5M29 20h4M34 20h1M17 21h17M17 22h3M22 22h12M16 23h3M23 23h6M31 23h4M16 24h3M23 24h5M29 24h2M32 24h3M16 25h4M22 25h2M27 25h8M16 26h2M20 26h3M28 26h3M33 26h2M16M 27h7M28 27h7M17 28h6M28 28h6M17 29h17M19 30h13M21 31h9M17 32h7M27 32h7M19 33h4M28 33h4M16 34h6M29 34h6M14 35h1M18 35h4M29 35h4M16 36h6M29 36h6M19 37h4M28 37h4M19 38h3M25 38h1M29 38h3" /> <path stroke="#ffc4c6" d="M17 17h3M31 17h3M17 18h2M32 18h2M17 19h1M33 19h1" /> <path stroke="#6d6d6d" d="M24 18h1M26 18h1M23 19h1M25 19h1M27 19h1M22 20h1M28 20h1M17 31h2M32 31h2M16 33h3M32 33h3M16 35h2M33 35h2M17 37h2M32 37h2M23 38h1M27 38h1" /> <path stroke="#a7c34d" d="M20 22h2M19 23h1M22 23h1M19 24h1M22 24h1M20 25h2" /> th stroke="#ffa18b" d="M18 26h2M31 26h2" /> <path stroke="#ffffff" d="M23 26h2M26 26h2M23 27h5M23 28h5M23 33h5M22 34h7M22 35h7M22 36h7M23 37h5" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #042</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Orange, White</meow:Skin> <meow:Eyes>Tired</meow:Eyes> <meow:Gear>Cowboy hat, wild rag and a sheriff badge</meow:Gear> <meow:Message>This paw is the law</meow:Message> <path stroke="#f9bd6e" d=M "M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h22M25 12h1M29 12h21M0 13h21M30 13h20M0 14h20M31 14h19M0 15h19M32 15h18M0 16h19M32 16h18M0 17h16M35 17h15M0 18h12M39 18h11M0 19h11M40 19h10M0 20h11M40 20h10M0 21h12M39 21h11M0 22h13M38 22h12M0 23h15M36 23h14M0 24h16M35 24h15M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h15M36 28h14M0 29h15M36 29h14M0 30h16M35 30h15M0 31h16M35 31h15M0 32h17M34 32h16M0 33h19M32 33h18M0 34h19M32 34h18M0 35h18M33 35h17M0 36h14M17 36h1MM 33 36h17M0 37h13M33 37h17M0 38h13M32 38h18M0 39h14M18 39h2M31 39h19M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#3e2418" d="M22 12h3M26 12h3M21 13h1M25 13h1M29 13h1M20 14h1M30 14h1M19 15h1M31 15h1M19 16h1M31 16h1M18 17h1M32 17h1M12 18h7M32 18h7M11 19h1M18 19h1M32 19h1M39 19h1M11 20h1M39 20h1M12 21h1M38 21h1M13 22h4M34 22h4M17 23h17" /> <path stroke="#9f6835" d="M22 13h1M21 14h1M20 15h2M20 16h2M19 17h2M19 18h2M12 19h6M13 20h8M17 21h2" /> <path stroke="#936031"M d="M23 13h1M22 14h4M22 15h5M22 16h3M26 16h2M21 17h4M26 17h3M21 18h2M28 18h1M21 20h4M26 20h3M19 21h12" /> <path stroke="#774026" d="M24 13h1M27 13h2M28 14h2M29 15h2M12 20h1M38 20h1M13 21h4M34 21h4M17 22h17" /> <path stroke="#85562a" d="M26 13h1M26 14h2M27 15h2M28 16h3M29 17h3M29 18h3M33 19h6M29 20h9M31 21h3" /> <path stroke="#cdc3be" d="M25 16h1M25 17h1M23 18h5M25 19h1M25 20h1" /> <path stroke="#000000" d="M16 17h2M33 17h2M19 19h6M26 19h6M15 23h2M34 23h2M16 24h1M34 24h1M15 25h1M19 25h4M28 25h4M35 25h1M15 26h1M1M 9 26h2M28 26h2M35 26h1M15 27h1M24 27h3M35 27h1M15 28h1M25 28h1M35 28h1M15 29h1M35 29h1M16 30h1M34 30h1M16 31h1M34 31h1M17 32h2M32 32h2M19 33h2M30 33h2M19 34h1M31 34h1M18 35h1M32 35h1M14 36h3M18 36h1M32 36h1M13 37h1M17 37h2M22 37h2M27 37h2M32 37h1M13 38h1M18 38h2M24 38h1M26 38h1M31 38h1M14 39h4M20 39h11" /> <path stroke="#ffffff" d="M17 24h8M16 25h3M23 25h2M16 26h3M21 26h3M17 27h6M17 28h1M20 28h2M18 29h3M31 35h1M29 36h3M29 37h3M22 38h2M27 38h4" /> <path stroke="#fe9033" d="M25 24h9M25 25h3M32 25h3M24 26h4M30 26h5MM 16 27h1M23 27h1M27 27h8M16 28h1M22 28h3M26 28h5M33 28h2M16 29h2M21 29h14M17 30h17M17 31h17M19 32h13M20 34h2M30 34h1M19 35h4M27 35h1M29 35h2M19 36h5M26 36h3M14 37h1M19 37h3M24 37h3M14 38h3M20 38h2M25 38h1" /> <path stroke="#ffb5a0" d="M18 28h2M31 28h2" /> <path stroke="#bc331d" d="M21 33h2M22 34h2M23 35h1" /> <path stroke="#a42008" d="M23 33h3M24 34h2M24 35h1M24 36h1" /> <path stroke="#911702" d="M26 33h2M29 33h1M26 34h1M25 35h2M25 36h1" /> <path stroke="#ffab00" d="M28 33h1M29 34h1" /> <path stroke="#ffba00" Lvd="M27 34h1M28 35h1" /> <path stroke="#ffc441" d="M28 34h1" /> <path stroke="#ef8e3f" d="M15 37h2M17 38h1" /> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #048</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Orange, White</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Meow</meow:Message> <path stroke="#ebd77c" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0M 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h14M19 14h12M36 14h14M0 15h14M20 15h10M36 15h14M0 16h14M36 16h14M0 17h14M36 17h14M0 18h14M36 18h14M0 19h14M36 19h14M0 20h15M35 20h15M0 21h15M35 21h15M0 22h14M36 22h14M0 23h14M36 23h14M0 24h13M37 24h13M0 25h12M38 25h12M0 26h13M37 26h13M0 27h12M38 27h12M0 28h13M37 28h13M0 29h14M36 29h14M0 30h15M35 30h15M0 31h11M12 31h4M33 31h17M0 32h10M13 32h4M31 32h19M0 33h10M15 33h3M32 33h18M0 34h10M16 34h2M32 34h18M0 35h11M33 35h17M0 36h12M33 36h17M0 37h15M33 37h17M0 38h17M32M 38h18M0 39h19M31 39h19M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M14 14h5M31 14h5M14 15h1M19 15h1M30 15h1M35 15h1M14 16h1M20 16h10M35 16h1M14 17h1M18 17h2M30 17h2M35 17h1M14 18h1M17 18h1M32 18h1M35 18h1M14 19h1M16 19h1M33 19h1M35 19h1M15 20h1M34 20h1M15 21h1M34 21h1M14 22h1M19 22h3M29 22h3M35 22h1M14 23h1M18 23h1M22 23h1M28 23h1M32 23h1M35 23h1M13 24h1M36 24h1M12 25h1M24 25h1M26 25h1M37 25h1M13 26h1M25 26h1M36 26h1M12 27h1M14 27h3M37 27h1M13 28h2M M17 28h1M36 28h1M14 29h1M18 29h1M22 29h3M35 29h1M15 30h1M22 30h1M25 30h1M33 30h2M11 31h1M16 31h1M22 31h1M26 31h1M30 31h3M10 32h1M12 32h1M17 32h1M23 32h1M30 32h1M10 33h1M13 33h2M18 33h1M24 33h1M31 33h1M10 34h1M15 34h1M18 34h1M31 34h1M11 35h1M16 35h2M32 35h1M12 36h3M17 36h1M32 36h1M15 37h3M32 37h1M17 38h2M20 38h1M22 38h1M27 38h1M29 38h1M31 38h1M19 39h12" /> <path stroke="#fe9800" d="M15 15h4M15 16h5M15 17h1M20 17h5M15 18h1M18 18h7M15 19h1M17 19h8M16 20h9M16 21h9M15 22h4M22 22h2M15 23h3M23 23h1M14 24h5M22 24h1M13 25hM 5M22 25h1M14 26h4M20 26h2M13 27h1M17 27h4M29 32h1M29 33h2M29 34h2M28 35h4M27 36h5M26 37h6M26 38h1M28 38h1M30 38h1" /> <path stroke="#2c2c2c" d="M31 15h4M30 16h5M26 17h4M34 17h1M26 18h6M34 18h1M26 19h7M34 19h1M26 20h8M26 21h8M27 22h2M32 22h3M27 23h1M33 23h2M28 24h1M32 24h4M28 25h1M33 25h4M29 26h2M33 26h3M30 27h7M15 28h2M15 29h3M16 30h4M23 30h2M17 31h3M23 31h3M11 32h1M18 32h2M24 32h2M11 33h2M25 33h1M11 34h3M12 35h1M19 38h1M21 38h1" /> <path stroke="#ffc4c6" d="M16 17h2M32 17h2M16 18h1M33 18h1" /> ffff" d="M25 17h1M25 18h1M25 19h1M25 20h1M25 21h1M24 22h3M20 23h1M24 23h3M30 23h1M23 24h5M23 25h1M27 25h1M22 26h3M26 26h3M21 27h9M18 28h18M19 29h3M25 29h10M20 30h2M26 30h7M20 31h2M27 31h3M20 32h3M26 32h3M19 33h5M26 33h3M14 34h1M19 34h10M13 35h3M18 35h10M15 36h2M18 36h9M18 37h8M23 38h3" /> <path stroke="#deab00" d="M19 23h1M21 23h1M29 23h1M31 23h1M19 24h3M29 24h3" /> <path stroke="#ffb0b2" d="M18 25h1M32 25h1M18 26h2M31 26h2" /> <path stroke="#f6cb49" d="M19 25h3M29 25h3" /> <path stroke="#ffb790" d="M25 25h1" / text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #011</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>White</meow:Skin> <meow:Eyes>Wink</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Nya</meow:Message> <path stroke="#fff68a" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 7h50M0 8M h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h50M0 16h50M0 17h16M19 17h13M35 17h15M0 18h15M21 18h9M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h15M36 22h14M0 23h15M36 23h14M0 24h16M35 24h15M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h15M36 28h14M0 29h15M36 29h14M0 30h16M35 30h15M0 31h16M35 31h15M0 32h17M34 32h16M0 33h19M32 33h18M0 34h19M32 34h18M0 35h18M33 35h17M0 36h14M17 36h1M33 36h17M0 37h13M33 37h17M0 38h13M32 38h18M0 39h14M18 39h2M31 39h19M0 40h50M0 41h50M0 42h50M0 43hM 50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 17h3M32 17h3M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M21 19h9M35 19h1M15 20h1M19 20h2M30 20h2M35 20h1M15 21h1M18 21h1M32 21h1M35 21h1M15 22h1M17 22h1M33 22h1M35 22h1M15 23h2M34 23h2M16 24h1M34 24h1M15 25h1M20 25h2M29 25h1M35 25h1M15 26h1M20 26h2M28 26h1M30 26h1M35 26h1M15 27h1M25 27h1M35 27h1M15 28h1M24 28h3M35 28h1M15 29h1M35 29h1M16 30h1M34 30h1M16 31h1M34 31h1M17 32h2M32 32h2M19 33h2M30 33h2M19 34h1M31 34h1M18 35h1M32 35h1M14 36M h3M18 36h1M32 36h1M13 37h1M17 37h2M22 37h2M27 37h2M32 37h1M13 38h1M18 38h2M24 38h1M26 38h1M31 38h1M14 39h4M20 39h11" /> <path stroke="#ffffff" d="M16 18h3M32 18h3M16 19h1M20 19h1M30 19h1M34 19h1M16 20h1M21 20h9M34 20h1M16 21h1M19 21h13M34 21h1M16 22h1M18 22h15M34 22h1M17 23h17M17 24h3M22 24h12M16 25h3M23 25h6M30 25h5M16 26h3M23 26h5M29 26h1M31 26h4M16 27h4M22 27h3M26 27h9M16 28h2M20 28h4M27 28h4M33 28h2M16 29h19M17 30h17M17 31h17M19 32h13M21 33h9M20 34h11M19 35h13M19 36h13M14 37h3M19 37h3M24 37h3M29 37h3M14 38h4M2L 0 38h4M25 38h1M27 38h4" /> <path stroke="#ffcfc6" d="M17 19h3M31 19h3M17 20h2M32 20h2M17 21h1M33 21h1" /> <path stroke="#85e5f4" d="M20 24h2M19 25h1M22 25h1M19 26h1M22 26h1M20 27h2" /> <path stroke="#ffc0b4" d="M18 28h2M31 28h2" /> text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #008</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Grey (Shiny)</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>Magical Star</meow:Gear> <meow:Message>Winter is coming and WAGMI</meow:Message> <path stroke="#94eff4" d="M0 0h50M0 1h50M0 2h50MM 0 3h50M0 4h50M0 5h50M0 6h50M0 7h41M43 7h7M0 8h40M44 8h6M0 9h39M45 9h5M0 10h21M27 10h11M46 10h4M0 11h20M28 11h9M47 11h3M0 12h19M29 12h7M48 12h2M0 13h17M30 13h6M48 13h2M0 14h16M31 14h5M47 14h3M0 15h16M31 15h5M48 15h2M0 16h17M32 16h3M49 16h1M0 17h18M33 17h1M0 18h17M34 18h1M49 18h1M0 19h15M48 19h2M0 20h14M49 20h1M0 21h14M0 22h14M0 23h13M0 24h10M0 25h10M0 26h11M0 27h12M0 28h12M0 29h12M0 30h12M14 30h1M0 31h15M0 32h16M33 32h1M37 32h3M44 32h3M0 33h15M31 33h10M43 33h7M0 34h14M32 34h9M43 34h7M0 35h14M18 35h1M32 35h18M0 36h15M M33 36h17M0 37h16M33 37h17M0 38h17M33 38h17M0 39h18M32 39h18M0 40h20M31 40h19M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M41 7h2M40 8h1M43 8h1M39 9h1M44 9h1M21 10h6M38 10h1M45 10h1M20 11h1M27 11h1M37 11h1M46 11h1M19 12h1M28 12h1M36 12h1M47 12h1M17 13h5M29 13h1M36 13h1M38 13h1M42 13h1M44 13h2M47 13h1M16 14h1M19 14h1M30 14h1M37 14h1M39 14h1M41 14h1M43 14h1M46 14h1M16 15h1M19 15h1M30 15h1M36 15h1M40 15h1M47 15h1M17 16h15M35 16h1M48 16h1M18 17h1M31 17h2M34 17hM 1M49 17h1M17 18h2M32 18h2M35 18h1M38 18h2M43 18h1M45 18h2M48 18h1M15 19h2M19 19h13M34 19h4M40 19h1M42 19h1M44 19h1M47 19h1M14 20h1M36 20h1M41 20h1M48 20h1M14 21h2M17 21h1M33 21h1M36 21h1M49 21h1M14 22h1M16 22h1M34 22h2M13 23h1M17 23h1M20 23h2M29 23h2M35 23h1M38 23h1M45 23h1M10 24h4M17 24h5M29 24h2M35 24h3M39 24h1M44 24h1M46 24h3M10 25h1M20 25h1M35 25h1M40 25h4M49 25h1M11 26h1M19 26h1M24 26h1M26 26h1M36 26h1M12 27h1M18 27h1M25 27h1M37 27h1M12 28h1M15 28h1M18 28h1M36 28h1M12 29h1M14 29h3M18 29h1M36 29h1M12 30h2M15 30M h1M17 30h2M35 30h1M15 31h1M19 31h1M33 31h2M37 31h3M44 31h3M16 32h1M20 32h1M30 32h3M34 32h3M40 32h4M47 32h3M15 33h3M30 33h1M14 34h1M17 34h2M31 34h1M14 35h1M17 35h1M19 35h1M31 35h1M15 36h1M18 36h1M32 36h1M16 37h1M18 37h1M32 37h1M17 38h2M32 38h1M18 39h2M21 39h1M23 39h1M27 39h1M29 39h1M31 39h1M20 40h11" /> <path stroke="#ffffff" d="M41 8h2M40 9h4M39 10h6M38 11h8M37 12h10M37 13h1M39 13h3M43 13h1M46 13h1M17 14h2M36 14h1M40 14h1M17 15h2M46 16h2M19 17h12M35 17h14M19 18h13M36 18h2M40 18h3M44 18h1M47 18h1M41 19h1M36 22h1M39M 22h1M42 22h6M49 22h1M36 23h2M39 23h6M46 23h4M40 24h4M49 24h1M45 27h2M39 28h8M37 29h13M36 30h14M35 31h2M40 31h4M47 31h3M24 33h3M23 34h5M24 35h3M25 36h1" /> <path stroke="#be051a" d="M21 11h6M20 12h6M27 12h1M22 13h4M27 13h2M20 14h7M28 14h2M20 15h10" /> <path stroke="#a50717" d="M26 12h1M26 13h1M27 14h1" /> <path stroke="#00520f" d="M38 14h1M42 14h1M44 14h2M37 15h3M41 15h6M36 16h10M38 19h2M43 19h1M45 19h2M37 20h4M42 20h6M37 21h12M37 22h2M40 22h2M48 22h1M38 24h1M45 24h1M36 25h4M44 25h5M37 26h13M38 27h7M47 27h3M37 2M <path stroke="#707070" d="M17 19h2M32 19h2M15 20h21M18 21h15M17 22h3M22 22h7M31 22h3M18 23h1M23 23h5M32 23h3M23 24h5M32 24h3M22 25h7M31 25h4M20 26h4M25 26h1M27 26h4M33 26h3M19 27h6M26 27h11M19 28h17M19 29h17M16 30h1M19 30h16M16 31h3M20 31h13M17 32h3M21 32h9M18 33h6M27 33h3M15 34h2M19 34h4M28 34h3M15 35h2M20 35h4M27 35h4M16 36h2M19 36h6M26 36h6M17 37h1M19 37h13M19 38h13M20 39h1M22 39h1M24 39h3M28 39h1M30 39h1" /> <path stroke="#ffc8ca" d="M16 21h1M34 21h2" /> <path stroke="#fddd81" d="M15 22h1" />M <path stroke="#f4ff72" d="M20 22h2M29 22h2M19 23h1M22 23h1M28 23h1M31 23h1M22 24h1M28 24h1M31 24h1M21 25h1M29 25h2" /> <path stroke="#ffdf6c" d="M14 23h3M14 24h3M11 25h9M12 26h7M13 27h2M16 27h2M13 28h1M17 28h1" /> <path stroke="#e79e8e" d="M31 26h2" /> <path stroke="#deaa46" d="M15 27h1M14 28h1M16 28h1M13 29h1M17 29h1" /> <path stroke="#603417" d="M41 33h2M41 34h2" /> text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #046</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Orange, White</meow:Skin> <meow:Eyes>Tired</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>...</meow:Message> <path stroke="#c5ec63" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0M 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h16M19 15h13M35 15h15M0 16h15M21 16h9M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h14M37 25h13M0 26h15M36 26h14M0 27h14M37 27h13M0 28h15M36 28h14M0 29h16M35 29h15M0 30h17M34 30h16M0 31h12M14 31h2M35 31h15M0 32h11M15 32h1M35 32h15M0 33h11M36 33h14M0 34h12M36 34h14M0 35h13M36 35h14M0 36h14M36 36h14M0 37h15M35 37h15M0 38h16M34 38h16M0 39h19M32 39h18M0 M 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 15h3M32 15h3M15 16h1M19 16h2M30 16h2M35 16h1M15 17h1M21 17h9M35 17h1M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M18 19h1M32 19h1M35 19h1M15 20h1M17 20h1M33 20h1M35 20h1M15 21h2M34 21h2M16 22h1M34 22h1M15 23h1M19 23h4M28 23h4M35 23h1M15 24h1M21 24h1M29 24h1M35 24h1M14 25h1M36 25h1M15 26h1M24 26h1M26 26h1M35 26h1M14 27h1M25 27h1M36 27h1M15 28h2M34 28h2M16 29h1M34 29h1M17 30h2M32 30h2M12 31h2M16 31h1M19 31h2M30M 31h2M34 31h1M11 32h1M14 32h1M16 32h1M24 32h3M34 32h1M11 33h1M14 33h2M35 33h1M12 34h1M15 34h1M35 34h1M13 35h1M15 35h1M35 35h1M14 36h2M35 36h1M15 37h2M34 37h1M16 38h3M22 38h1M24 38h1M26 38h1M28 38h1M32 38h2M19 39h13" /> <path stroke="#fe9800" d="M16 16h3M32 16h3M16 17h1M20 17h1M30 17h1M34 17h1M16 18h1M21 18h9M34 18h1M16 19h1M19 19h13M34 19h1M16 20h1M18 20h15M34 20h1M17 21h17M17 22h17M16 23h3M23 23h5M32 23h3M16 24h5M23 24h5M30 24h5M15 25h21M16 26h2M20 26h3M28 26h3M33 26h2M15 27h6M30 27h6M17 28h3M31 28h3M17 29h2M32 2M 9h2M17 32h2M32 32h2M16 33h5M30 33h5M13 34h2M16 34h6M29 34h6M14 35h1M16 35h7M28 35h7M16 36h8M27 36h8M17 37h17M19 38h2M25 38h1M30 38h2" /> <path stroke="#ffcdc3" d="M17 17h3M31 17h3M17 18h2M32 18h2M17 19h1M33 19h1" /> <path stroke="#ffffff" d="M22 24h1M28 24h1M23 26h1M27 26h1M21 27h4M26 27h4M20 28h11M19 29h13M19 30h13M17 31h2M21 31h9M32 31h2M12 32h2M19 32h5M27 32h5M12 33h2M21 33h9M22 34h7M23 35h5M24 36h3M21 38h1M23 38h1M27 38h1M29 38h1" /> <path stroke="#ffb5a5" d="M18 26h2M31 26h2" /> <path stroke="#f5b3a5" d="M <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #006</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Grey</meow:Skin> <meow:Eyes>Closed</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Nya?</meow:Message> <path stroke="#ff97d6" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 7h50M0M 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h50M0 15h16M19 15h13M35 15h15M0 16h15M21 16h9M36 16h14M0 17h15M36 17h14M0 18h15M36 18h14M0 19h15M36 19h14M0 20h15M36 20h14M0 21h15M36 21h14M0 22h16M35 22h15M0 23h15M36 23h14M0 24h15M36 24h14M0 25h15M36 25h14M0 26h15M36 26h14M0 27h15M36 27h14M0 28h16M35 28h15M0 29h16M35 29h15M0 30h17M34 30h16M0 31h16M35 31h15M0 32h13M15 32h1M35 32h15M0 33h12M36 33h14M0 34h12M36 34h14M0 35h13M36 35h14M0 36h14M36 36h14M0 37h15M35 37h15M0 38h17M34 38h16M0 39h19M32 39h18M0 40h50M0 41h50M0M 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M16 15h3M32 15h3M15 16h1M19 16h2M30 16h2M35 16h1M15 17h1M21 17h9M35 17h1M15 18h1M19 18h2M30 18h2M35 18h1M15 19h1M18 19h1M32 19h1M35 19h1M15 20h1M17 20h1M33 20h1M35 20h1M15 21h2M34 21h2M16 22h1M34 22h1M15 23h1M35 23h1M15 24h1M20 24h3M28 24h3M35 24h1M15 25h1M35 25h1M15 26h1M23 26h1M25 26h1M27 26h1M35 26h1M15 27h1M24 27h1M26 27h1M35 27h1M16 28h1M34 28h1M16 29h1M34 29h1M17 30h2M32 30h2M16 31h1M19 31h2M30 31h2M34 31h1M13 32h2M1M 6 32h1M24 32h3M34 32h1M12 33h1M15 33h1M35 33h1M12 34h1M15 34h1M35 34h1M13 35h1M15 35h1M35 35h1M14 36h2M35 36h1M15 37h2M34 37h1M17 38h2M22 38h1M24 38h1M26 38h1M28 38h1M32 38h2M19 39h13" /> <path stroke="#707070" d="M16 16h3M32 16h3M16 17h1M20 17h1M30 17h1M34 17h1M16 18h1M21 18h9M34 18h1M16 19h1M19 19h13M34 19h1M16 20h1M18 20h15M34 20h1M17 21h17M17 22h17M16 23h19M16 24h4M23 24h5M31 24h4M16 25h19M16 26h2M20 26h3M28 26h3M33 26h2M16 27h8M25 27h1M27 27h8M17 28h17M17 29h17M19 30h13M17 31h2M21 31h9M32 31h2M17 32h7M27 32h7Mf M13 33h2M16 33h8M27 33h8M13 34h2M16 34h9M26 34h9M14 35h1M16 35h19M16 36h19M17 37h17M19 38h3M23 38h1M25 38h1M27 38h1M29 38h3" /> <path stroke="#f5b3a5" d="M17 17h3M31 17h3M17 18h2M32 18h2M17 19h1M33 19h1" /> <path stroke="#e79e8e" d="M18 26h2M31 26h2" /> <path stroke="#7f7f7f" d="M24 26h1M26 26h1" /> <path stroke="#ffffff" d="M24 33h3M25 34h1" /> text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 -0.5 50 50" shape-rendering="crispEdges"> <title>Bitcoin Pussies #050</title> <desc>Bitcoin Pussies are 69 uniquely drawn and inscribed cats on Bitcoin</desc> <desc xmlns:meow="https://bitcoinpussies.com/"> <meow:Skin>Grey, White</meow:Skin> <meow:Eyes>Open</meow:Eyes> <meow:Gear>None</meow:Gear> <meow:Message>Play?</meow:Message> <path stroke="#80a8ee" d="M0 0h50M0 1h50M0 2h50M0 3h50M0 4h50M0 5h50M0 6h50M0 M 7h50M0 8h50M0 9h50M0 10h50M0 11h50M0 12h50M0 13h50M0 14h14M19 14h12M36 14h14M0 15h14M20 15h10M36 15h14M0 16h14M36 16h14M0 17h14M36 17h14M0 18h14M36 18h14M0 19h14M36 19h14M0 20h15M35 20h15M0 21h15M35 21h15M0 22h14M36 22h14M0 23h14M36 23h14M0 24h13M37 24h13M0 25h12M38 25h12M0 26h13M37 26h13M0 27h12M38 27h12M0 28h13M37 28h13M0 29h14M36 29h14M0 30h15M36 30h14M0 31h11M12 31h5M36 31h14M0 32h10M13 32h6M35 32h15M0 33h10M15 33h3M34 33h16M0 34h10M16 34h2M33 34h17M0 35h11M33 35h17M0 36h12M33 36h17M0 37h15M33 37h17M0 38h17M32 M 38h18M0 39h19M31 39h19M0 40h50M0 41h50M0 42h50M0 43h50M0 44h50M0 45h50M0 46h50M0 47h50M0 48h50M0 49h50" /> <path stroke="#000000" d="M14 14h5M31 14h5M14 15h1M19 15h1M30 15h1M35 15h1M14 16h1M20 16h10M35 16h1M14 17h1M18 17h2M30 17h2M35 17h1M14 18h1M17 18h1M32 18h1M35 18h1M14 19h1M16 19h1M33 19h1M35 19h1M15 20h1M34 20h1M15 21h1M34 21h1M14 22h1M19 22h3M29 22h3M35 22h1M14 23h1M18 23h1M22 23h1M28 23h1M32 23h1M35 23h1M13 24h1M36 24h1M12 25h1M24 25h1M26 25h1M37 25h1M13 26h1M25 26h1M36 26h1M12 27h1M37 27h1M13 28h1M36 28h1MM 14 29h1M33 29h3M15 30h2M32 30h1M35 30h1M11 31h1M17 31h3M30 31h2M35 31h1M10 32h1M12 32h1M19 32h1M30 32h1M34 32h1M10 33h1M13 33h2M18 33h1M33 33h1M10 34h1M15 34h1M18 34h1M32 34h1M11 35h1M16 35h2M32 35h1M12 36h3M17 36h1M32 36h1M15 37h3M32 37h1M17 38h2M20 38h1M22 38h1M27 38h1M29 38h1M31 38h1M19 39h12" /> <path stroke="#7b7b7b" d="M15 15h4M31 15h4M15 16h5M30 16h5M15 17h1M20 17h4M26 17h4M34 17h1M15 18h1M18 18h6M26 18h6M34 18h1M15 19h1M17 19h7M26 19h7M34 19h1M16 20h8M26 20h8M16 21h8M26 21h8M15 22h4M22 22h1M27 22h2M32 22h3M M15 23h3M33 23h2M14 24h5M32 24h4M13 25h5M33 25h4M14 26h4M33 26h3M20 31h1M11 32h1M20 32h1M11 33h2M19 33h2M11 34h4M19 34h1M12 35h4M18 35h1M31 35h1M15 36h2M21 38h1M28 38h1" /> <path stroke="#ffc4c6" d="M16 17h2M32 17h2M16 18h1M33 18h1" /> <path stroke="#ffffff" d="M24 17h2M24 18h2M24 19h2M24 20h2M24 21h2M23 22h4M20 23h1M23 23h5M30 23h1M22 24h7M22 25h2M27 25h2M20 26h5M26 26h5M13 27h24M14 28h22M15 29h18M17 30h15M33 30h2M21 31h9M32 31h3M21 32h9M31 32h3M21 33h12M20 34h12M19 35h12M18 36h14M18 37h14M19 38h1M23 38h4M30 38hL <path stroke="#deab00" d="M19 23h1M21 23h1M29 23h1M31 23h1M19 24h3M29 24h3" /> <path stroke="#ffb0b2" d="M18 25h1M32 25h1M18 26h2M31 26h2" /> <path stroke="#f6cb49" d="M19 25h3M29 25h3" /> <path stroke="#ffb790" d="M25 25h1" /> text/plain;charset=utf-8 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 (((((((((((((((((((((((((((((((((((((((((((((((((( text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_327", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 15, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 14, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 15, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 14, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 15, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 14, "activation": "leaky_reM lu"}}, {"class_name": "Dense", "config": {"units": 15, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "/YWwPFHjeTs09yQ8NSKDvbK9lb2sKfa84xCbPZgbNT0LGPk7n2jSvD23vzwROno9usRqPc/asrwD+a87Oq0bvYwvVL0XXFu8/vkHPbByerymnxG9gEmfvdJEEj1iaB08TRTUvGzK6bsROLY9ewTZvIpT5DzW1Ls9Nx+LOpJ18DzXXZq7MTuFPdDOXrxzdAU82VHMPSY+nz3bKb478khyvTirkz1hXmO9NcW5PScHzzyFUSI9jv8dvZ4UZT3YCZG82mu+PMFtNr2nfWG99tgRPRJeBT2CuSk95vgEvOGgpbwrepw8SaZePYm/BLsax3I9pk4QvOr5Cz12Yik86z7GPUYpM 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 c3rkPQdMYrw3GF+9TN6svErKPD0VA0A89lp3PDHjfLuFruS8tfMhPYxIFbxMZiS9YKQGvSzjlbxeWqY94tGrO1CKkL1JZ5E9llfou9V7fLzT8wW99o0iPZlXOr1puzE7E/CYPIF4+z0jcGy9h+ZmPKPjVrw9X7A9TLIqvZUc6T1AFhU9c1QSvUNwFDx6ogq9fMmhPXqgezvzfDK8URAiPZP0Bj730Ie9SYc8vcNmID3GWfe8WsoNPsGoHz2oSYC88Dw7vUJmqLwzRYW73MK1vM2Qjjx1RTW9gjuWOX3J4TzwjnA8/X1WvKyZ+zqGQYY89nGsvHKPnb0pERq8ymCNvcdshz12azO8PYOYPZQBMTx7Zws9Tz1WvaUntD1ZOdy87B1tvZpmij2FDo49RHFau2ECpT1LMNk8lNKQvTp4rDyq2ui9Mle4PabKJ71ObuI79R1sPU5gwz2wcqm9bPXMu5fOez3w44K9xLgOPjJdDbrFqcu8AQMivbOj4LyGCge9SXOIvEgDM 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 aj0VFk69B6HnvGenC722vQA9OLzyvGu+i7yt23A8eBEwvIA21L3OdN68KagmvNnz/7yaFAe9i8/duzGxgD0820y7bwqyvXZcoT3B71M9DflvvUC4n7xRDM88e2n+vZBa1j0sB9k8rM3BO+oTXD2j35y9P8ARPZXYHz2qdiG9LcEgPc5SBLuzT1y8jRQqPWzzUj31dp68hQxBPHniOLv0lRM74rJbPEB6vzzDK9k77wyYvJu8zzsg6n68O46mvK2zkDwC35I9plNevWkiF72nFxk9xzJKvFB95r3zrRe92xcCPeeQ9btmI2M9HBkbPZjWDz0kqDc73qfqvKpVnryGy648GtaevBlc6jxAGa467UeLvJ2IDj2K0IQ85tQ2PS7aeD0ErR+9BDWoPYtLAD3h5Rq9sHDuO6EbVD17SPq7SuBMvD6HFb1LYLK9j+8sPfQ7NL0lL8c8AmgVvN5+CDx8i3a8IEv9OmykTb1Mn3e9HYWIPDeDybz6v2I9RoOKvNoIjLtDezE9M 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 hT3C8zO8uy7AvGtl2Tyx5Ek9K6ylvPG5a7xSUIO9Jc7ePS4NOz1F68I8T0mJPNKArjsZ5+O83KfmPMhaM70pXBo8sleNPHJHmjznz3A9+fXYvBZo4bzXgLQ94JGWvNsXjL1VUYo85ZYHvfIblDy/FS69ZmqrPThME7zoVg69uPDDvJpfVD0UGyM9vdmBvQ8RBT0c+is9/C6svKJT/TxU64M90KGLPKnWUDxKLzS9dxKdPS6Q6jsI8FG8Fzz8PI3LND3jnRu9f4H6PGKgGT0crkw882xvPShtJrm1+VC8S1mvuzsVfDzjxue8e86zPKAEmbx+hsa5O1gcPI92kj1IiHg983xHvauKED3xg/E7G8Pmu24M3r2UNKw795xjvUI0fLyx3hg9sHJ2PbNogTwNExy8UbKYvbTg9zy/IEe9Dm6lPL8Qnjv4zZY7Vhe8Om7poD23T5E80vtxOzoTrj2iHua92imTPbncO72Uhim8WsLYu2p00z3sC6y9sJyxPK+jeT05Ewi9M 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 Er2Mawu9S3AnvCBkCz0SfhQ8t2OJvXVRrzqvcMc96Yj7vBnguryEk6y8D+5yvc15arxqX4k773wXPXqGxjxX+r47Udl/vR5nqD0MkIu8UXWYvU79mD2S/bA9Zu3mO15s6D0oNR497u4FOXpXwj0pXge+qMClPXdkMr3wg6q7OKiHPYDD4j1OmIS9n+rqPDSXOj0icbs7yYDiPR8Q9Lz6Veu8ZnsYvSQgfryRbK28fDcsvSTVprwLX0G9Cmb9PFhZobs2njQ9ZtygvcBS/7yw9eQ77LOKvPvfNr3tL8m7hpk9vH3UJT1EuaO8wvA0PXGk7bxQbI48aLCVOgeT6z29u2y8TyUVvVIPpD1gVwM9IJ+ivUl+rT1Ye709zy4OPDW4/zvtiLu9rZiPPUIHET1RKu07RIoqPdHB/D1EEOi8COASPMMSKT2saee8eLSZPVNdbzsCeXu9Io0PPA54F7w/9gm9OFgivQydSr0cy7080U3Bu0O5Jbzhs0c9vx1XvU9RBj2RPpI9M qy5evZ6F5r1tG1U9rrknvD9h6Lwu9Yu8dzuPPZbig7wfrGA9QKtUvKj0uD0JpwO9bdE7vY0UcD3Efxs9ctGhvUrmRj2AaYM9CCfGuwJrbz1SeL29uC/APaZOarz61Cm8xWyLvHFWMj15GSi9yS2DPOb7szxYqo+8NpiDPcVfJ7x58ju9guN9vFb9gTz74AY8a+5AvCyTzzyO9Us83ZUEvE7PrjxINxo9osRVvQB8PLZjOSA9vtSJPOTYNr3b7jC9oCIWPaI8jbze5SQ8ewolPHjBRT2EuNO8KzWHvVj7N7w2QZs9nEsKPb0Marwjz5c7sXCRvP7Ytj0OtVA5s34BvLavUz0ND569kM+2PZbCB73PjKq8JucuPTn7ljz3Vjc8fWF/PFC6zzxtJbm7Ue5oPQtvFb1cZh29cWVaPdwqErs4jr88CdiOPHCKUjwAJLO8IaUVPUM1iL0J4/08aIaYPAbxHL0Bvhw9t/auvOP3Br30/j48Ayz4PIFPRTzLqjS8a5L8PD0pM UT25m0S9WLwVvJKROj2yRSg9frvyPNXz8byNGUw9OWoivXTTzDvA3qM8XiTPu7RKSD2+c2O8Fft+PeOEzLyf/2C9Sm9hPD0VoLwKdgO8pSAmPeRS3ryj4tK8yhKMPP+xBj0vLZw8hNz2PGDfRz3wXpi8kcOivAIDvLwRb269sUlSPZ/FX73qV6o9HCCEPFzFkzzQqtm7tBI5Pd1xuL0xT727M3o2Pd4KNT3V1ZQ8vhrCPPzlqTxRe9Q8wtgNvVhTgrySqgS8v9N5vDeKwTwiuyM9KfyNvNVS4j2W0q09Y4ddPb+WLz2FtPs86lyIvHrixbxNbJC9y+yQuxADALxh0m28ayEgPLwvcLz1ci48zvlSPQRdIj1MInW7WrAavTovDz1CUQe9OFxsPOmeFDo011a9b7LTPIWcjDxyz/k8PjUcvTThG70S9zk8Pqm6vEzU+TohHGO88OJwvLw5/bwx9zI9qmVXPJ3qA72895q8oW+MvQdahDuxI0Q8bKqOPNDXQzwdH+67M 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 brzH+KA8n8RYPQGSKbzUwDw9n64/O7YeQT0aYRm8oceIPQzmLT0u6R891mMpPRe1Lz36ucI8CDC9vJIOpbyASn69JKAjPPH4Dz0hzfA86hQrvJSoQDxRaVA9KBKIPGT5jr238IQ8imGfPCC7GjwSHoE8aT/hPMV5wLuGbQc97p64vZ1Vnj21W+O8egWDu8Ufdj05C8u7lR3JvcB1DT3IvJw9OM9hO5Tksj3wrRy8T4BVPVOE4TzwiFA6nWMIvE4KKT2/mNO8SVS1POkvnbxtvyi9gnymPSL4Uz00Ewc9RjQavTttYj2cw8G8YCKavGMV5btbyla91GW4O1arGLzaNs08qsqHPEkE+zyZ3YC66RLuusFSvb1/LcY7koRoPOOegLzKWta7meqMPbGl6bwcx/G8kCQgvV56hD1PD7U8RIqOvcgI4TzQ3fy4nJg1vV8evj1qeJI7pb+2vPbBKj01ga+9c5bSPUjMUTz4fno6O32FPPp9xTxlalu990soPVo9Tj0A3IS9M 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 eGgWPB1kVr3ssEA9qo+FPAatCT0FNgg8FJ6DvDGjnjseS6c85OHQPPUKqzvRfWc9NwDfOnd9RbzcUlG7ofeuvUdEJb1dBDw61cs2PXirqrt58DY92rk5PTfPuztwGKE98V2wvTtGHr3EZpM9BYlsvQH6Bj3bKwc9A0gWvXQdIj0/dYQ9pTKhPSTeAj1mJOa84vKEPTHGrT04CWw9jOEcPfCnSj3YW9I8xjDkunnrTz2Ps1i9FDsLPV83c7xYt648YpdGPaGuojsVBmQ7ihrpPM5dkLzlBie8yndnPKl+qDwyKNM635AsvND3JjwBg947Tf1VvdeWB72Rr8U8Grw/PP0dGL3EIZi7vhUdPeZ077yQTUM9AYhxveLGFDwPa1M9A8vnvFr+Iz1KkYE9pQOuvIPjsD0XfK89BDP2OS4uUj0TbZC9a4/QPOVNhj1s22e7llvaO9rOMT1S+WU9eWQRPT+UZbzrSXm9t5pBO12lr7yedai7MF63PMilvbxI0Gc9hOaqO7Y3M 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 TcffvAtjIT2N25I90KB6PIOB2j0UJKs8RY+wPZErp7zD2wQ9woK3vFQljbyMJsw7DTC3vFLRsrw/6oS995oVPZ7WDTzb3Gi9QsDaPMhiijyvX0q6Qx3iPPkpOj1pqYE8dOLwu8+qiTyAm4894oUgvTAXyzsRJbi867/xvGPzz73KtJs804eGPdjF37tEevE8MFHgPNJo9Dyg7ia7i03HvXzLMb3jUZs9aOniPGXf2LzLn6W7sZmTvfBcBT0yU+A8KAGOPXnsKjwPiFa9Sk3wPPmPCr3KKsa8nntjvcBjZbxNGTA9ol2IPQy7RL345pu8ZMRlPIAlSjx0JMy8ALllPfKho7zro488zrA7vUaeIL1kviM8OkfCu+NIMb2hk309FYc5PSWDX7v8pas80hOqOwmehr0W3Sc8Rj3BPJSAfbwpK6o818+uPEWtQb1+r+I8q7mlvSAhdD07DAg9oSmqvDiBE73PAYo8CDmQvOQluT3g20s8e9RtPe6Azj3OmiQ9Y3kYvDF5M 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 b71EpVc8l4B3PQ4Gpz0gItO8MRoWvbZ7iT3Rkhs9UBdHPci6Gb2nfby8H/baOyNzCD1+UbO8WvFZPAsagbvdnDq86y4FveRo1D2jZYC9HBKJvVUJ5rqsSuY89bwEvWf7rj3FtoY9IOPrvColzz2Ug4698+XMPdsV6bxgFWY9tPaRPShKqz1Bxxu9vs0mPb6gsD29kVS9ItWEPapwPT0B8nm9+NFcvQQPwzwaB707qnbFu8h9kr0bV0i9FN9RPX251zwvzMo7Tv1rvY3mxTv5mss7MaVOPZ80Fr3NIOQ8e4aKPDlckzycTFK9EY82POKCvrzhqke70S3cvMc7lz0TLXm8goiQO6/DjryX2S09L1VzvBi1uD3oLog9rk8xu4vcsT0tPIu95dqFPbs1vTzpQYo7h0xPPbVvlz3Epw684tMou8Erez21fZ+8eHtDPT0LEz2Q55C9RPklPBscLD2dLO67hyNjveLrw7vhwIi9nGEfPWU8Cz07t1o8kJUjvRiEML2a+Cc9M 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 HD1H4PC8PeMhPKezEz1puLY8vEoAPHjairteSIU72B8PPekOzLzewJg9vHkOPfvcj7y/Mxi83/5BPbEXHb0ciie9EO4QvO7uHDoMJRU9ieAqvR2ErjxqBDA91FXxvGlypj2G/P488wB0PKDWtrvsJpg8Ug37vCAEhDvndfy8aKMdvFIee7uyRbE8z+TyvEI7Hb3vM/+7onYkPWfLOTwuOTs9if16PfDhVztvqlU8AmAQO6MbNT0qJCM9jx8SPZ3zKL3yLBQ9SJcdPW/WDTw1kIM9HK9ZvRzqD70d3y09QwMPPGTYEzx0XGQ9G4AAPQW3gT3OqxY8V0c1PNA9tryw4qm8Yp2xOyrLOjzmxoA8V1KJvZuqnD0vEtQ9cwFFPNg8ybqWRH29OmP5PPBEnz2jjA89/DhvPadncr17XJc8pSJQOzkoIL3Aski9IougPBFQdbzgD5q8hdWZPbaHqTtQXJM8eGsGPcFQmj2u8ik90ZNGPSFaKLq0HV49ieqAPSFvL7xLegK9M 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 Eb0B68+8qbRIPWQafD20ubE6i1uGPJhHbTwvH7A7NdFWPSVSBj2TzTm9ExvDvJ0Slz2Gg4a8Kkr8vPwEj7sRvkI8hJssvUPourxIuxo6zLSlvJAiIr0GoII8AboWParrqb3yYhm9iUGLPLTXXj3DpFM9w4VVvMvn1LxTlYW8tFwpvVjhi7zQemU9xry7PPCOsjuamGO7NpbRvQ6H2j2Ai4Q92rNQvCE5cz3xcyC9QJp7PV+s0jyiXhW9jQiYuypzGjs2H4e8wlToux0sgLwolQm9TQO9Pciurry6Blu90da4PJ8o4zz9NZy8+WimvTtILr2O7si6znDUOsVDjztc4GE9grHMu7KinjzNtmM6oSQWPQYmzL2Zz6e84qWnPBJIsDyMuk49ZRQRPZtwlTyxExk9V3LjvSLOabwqvnQ9c/wjPb8fmDuxh5a8AqmtvaNVLj0rx4W8i4hqPVRaIj1QQpK6fm69PCjgpTskLta8uuUaPZeL4Lzl6QI9w72hvAERcTwlY6q9M 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 6DyfoC+99+phPdN4CT2ySwI9XyoYveAn+Du+uYU8OC4lPbI/TTz7D928pfYZPKuNWD1QKWq8uaUivEVLjD1fAqW8KNkfPaBfD7w6nY49a1nrPFBHMD1sAea7D1OLPIDjjL24U+S8wy81PJyq1DwghyE9OudWvZZuGr0cbiu7dcybvUi8/zzuo/W8xAWuu/c3Sb2im049OxNMvYDQnjzyGpC9HZq9PAuC0bwTyM8878/Lvao0HT1gdWy9x6Ipvd72ib2Wtss9o7+XPb9ZYL0xreU8pnEYPVBY5LyikrK9QRc+PBtY1jx2P5W9Tqyuu01PCjxUZgk9eyEfPTmfbTxENFM9t8OBO3Zn87xXA1g8ZP92veEgcTyJ7f+8uWTVvCZiVj2jTNU8kfSzvExKWb3C5TE8NYRBvYhuf733I3U9lUO7PZb9vTyzD5k8boB0vSnU4ztN6Yy9JSusPDULKL0298+8llV8vdbskbx6w2C9T7xfvXNuO70+P6U7JruKPTSXR72unKM8M 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 RT03EKS85VsLPRtSO71QyxU8dUecvIww77x2PEA81+zWPKupUT0naSi92BRSud9hZD1YXps94lEKvaj0GT1o4i+9OZ3svFJbVr3i94I95JoGPRYOO73TqU89+sYnvRASyb0UZyW9pYY7PW+l8zz7UIs9848evSeJGjz3Qs275iWTveFvWL0wpLk9DyIlPawd7zl72P28G/tVvZxDPjzvqoA65tPGO9jWHT2aFwg92rgJPQhnFzsGlHi9HyN2vX28oDvzRoQ9j1hvu5xFX70hVXi9t7edPK3H57zcl5W9OtBLPewLNz0U3bM8MHq+u7LRSr1ePpm9Q14uvUWUHz0L1RY94N8MvYvkxztzUw49EHosPYV/sbyllng8DZE7vTMjEz1ranw9i/YZPTeoBT1h+0G7JDHMvdWeprvL7XA8HV4WvITM+zw2lK07KdWyvIJTkj2qkYk95zkoPYMiLT3i4Tw7ecSmPWbWCz3g2B29+SEGvYF+SrtsYFy9KHkbPTXW9zzZT5u9M 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 HTATvEGjgDxaH069BmrevB4noDuSXWO9wrLIvRGflr0nvoq9CmwTu0f7ZLxdMEO8yQiHvLxQ3TxRvkY9e+GdvIyPP7wXLrG9DccmvbWoNrsp/Tq9VRyIvWSsEzpItjO9QsmUPHHDGr0j34y8egDIu4l3Jrsk7Bw84rFJPY2HgLzVecS8uUaAvQM4OL1fbx29YQJwvW6tj72/rJg83QvbughJpTpnRo+9ybKcPYs2iTu29Ic9TYE/vQK6VT3F1oO9Y2mGvTQSkDtKIMM8kLY6vf7hqTpptMy8oeYRvHB7DbxfEie9oOq3vGnd9LwsCSs9/PlGvXqelDyhfwK8doGfvOAsGbxqCv67Y7QQve6U0DzWc7g6Lv6APHt9UT1njeu8ZqKSPeAw4DwXtoA8GrZQu/cyB70hcDA7rwezPPoQ0Ly66D+9lKqcveyCB72Hf+Y8V4EmvC7JqT3zb5K94Sm3OpD4nTyRQIY9r5aXvMc6Xz2gt6I7vGD1vO7iV71DwUO9YoKivMgfM 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 67yo1Vo81bxyPfwuHT1GrOq6I4mivSWAgj0GE/E8Z53ZPNYlT713EhU94ZievS4fKzyELb286K8iPcDUSzzv0oG87+tFvcKlTT2ySDi9GszqvTAh1jt2MfU97u23vCWaBj5QsHI9MFw4u5a86jxLotC7O7hiPWjT1LwCvDq9IMySPOUDgD26cIS9GghvvFjLMT1ODGw8e+mTPUR8iD3eGzE9RbI6PUIWSDz3usq8OGw/u2TQB70IeVG9aXL1PC/ewjqnmjk9LWrHvOHpvLwS+HY9hsyLOZikV73nQ3+8XW6pvKJmOr1NjwO9eYsJvRbgQbyYTAu9jjiQvV9IqD1jarY73e1du0CwXT3V7/Y7hJS8vUCbqDywVWo96eUkPSrHkj2y6Va9JwmZvBXR27xD/R090gzBPI10KD2pmkc5K5gzvNsYLr3JP4e9uOvUPfA5MDv7j5G91BiSvIFEzbzfMj89EkGyvCbM0ry3o2a9piMvvZokILz5PpA9Q8+svKArmDyIwbs8M 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 rrwwlxW8f/a5vVcCqz38lH+9nUvTvNFgMz3FLqg9/zwavbM/gT0iA+k7pAwnvLMZhT1JeJm9TomGPewY8Tz3L4W8hBUvPe/eBz1PcK+9k92kO73Rdrw9+e67j40JPq7FZT0c9T69IULlvLqg5DxMFaC9+HQOvGwsYLyuQdc89GfSOx71CTyHpBU9b3bmvBZghjxryFY921D8PEDKq72vxhQ8CHHNvIrVMj2fVrs772WEPc+x/ryqyYw9opK5vdlzBT5oAhS7ALlavZ7inj3c85k9j9tJPLoiET1GVLU8rLqAPCj9Tz2LOv+9mx3/PEhN/Toa6mG8fsFIu5Bvtj0Fdq+9gtktPYZmYT3jjEq9wXA3PcvEXD36pMa9OSNOvR3iij13Z6S80SIHPYRL7LzkLmw9pND2PJqbej368s68qjjNvNC/HD0Dwxg82GDVvCUFx70dqFo9FoQzvbTgHz3WaWC9pVQLPlKpP7z2IQw9TyPYPON8Mj3+P4O9eAQIPfUcOj18bNe7M 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 3oxBvcBTxzu+NLO96pOGva+w3r2F5ec8/SgGvsfYrr1Mx7+9C/+PvWzLvDs75Zq9wMmDvY9w0L1qMW47638xPW5/zD0uhiW9L9rxO0Ym4b0w+jy7pWKMvRqWB7y+ljG9uoH4vdVV4zpO7YM8iDT5PBAuFDzdsWk82u+7vYaAv7ziFyK9HwGDvarFqL2KHkq9DtOrvPUbTTwhpmu9pNmUPXaiQb2LuTq9RBQfPVT9Zj2BhA28GvSzvARKEb0rSYK7Q8GyvKUVfb28Cca6RZgFvlRTfr0AZ8y9Bxrvu0xn/DxdBWu9E88FvR0fDL29MSI9Sp+HvDabCjxSbru7T5y7vUfAz73os3a9HQ+/PC1RlDxAlQS9klg2vYxPzjwJ9YK8Xj/RPJ/HJj0F6qw8fOIKvjroXL1CSAW+AhC4u+VIpb03lkm9PiGHvbDZqz3Bfp68Tm0zvK2xQ73wtKK9w6wOPSK74TwpL4o8vR2RvWJomb1osO29CqG/vC0Aib2ZNtA88mJDvXkdM 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 qSOZPcL+pryM9Ae9z9oDvMDHZj277co8oZvHPH5+lzywWCA9IUvHvTOBMT0AoDK9fKUqO3RT87xFbpI9YLLIPBjwHD0v3KC8fKdvvGO/gbxqFD49G8wIPRpLAbx9+Tk9LmEZvW2bWbwIAPy82YhgvK8rLb3yfhQ8er/oPVBNaz3QUnW8plOwvRJ7irxERa08/ogkPbiXo7ywIUW8Xkixu5b0mj2h4j69kDuvvcqb7jsGB2o9rN/lOmK+n7xWMkC7f6EBvQxMoLxJ+Py8y86JPNsmlb1/5SU8khFUutGuDj6PIoq8W16ovShj3jzpyuA9CavIvPEOWT3x6P88TrQFuzWVqDxsL129wQGRvPnRVr2QxeU8CSW8vB09lz0ndVq9b002vLjzkbzZoFA9z7AIPoQiXjt6cJg8yBPJO0C6+7xhzS08W4cauzpUojwP4T69fb42vYbkZT1eJSk9XjjgO/MkGD3HFYs9FJDDPEQSmr2Nzsu7KAKxu1/GobyccgA9Q9AlvfmiM 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 Rj1Epgc88BcuvUGYq70tuow9LyUIvbbxjz0kc029txeHvUcsmb2ZFUe9jk96PWbbcD1XXdg9hWOhuxya2T1cPi88K8UWviumx71/NJI9OCy8PGTlqj3OAdO84bQfvsIL7Lyh5ao8pBZ9PQJfbj3K6kO98n6RPDHnlj2Jmys9jJGbvdbMqrsnx0A9vqg6PeMdtD1ukVO9pEJcvftQIbwIIfG9/guDPFwo7bxyrEu8D7o2vecDHLl3Xgi9pOBjvXT8HL2H7yo8HstBvfL+NbzzXIk9OohivS+qnr0oCAa9P8ROPXE2vLxvviM8iOcfvbqlUboV4OU8EqSIvfT/Pr1CSEU7S4XlvHBozj3b4ke9qqvcvU4hrrya5JM9UNxMPUathD2zPGC93/AGu6XaMz10SKA7L1pDvTYHoDxCt4S8ght4PQD8fz2jYoi935SIPYVG1TxvOXK9DaaKvYxPNjthJR28328jvWcCtbyastK6iYQJPHWgwbrkRhm8x5e/vcPbUzuxU6w9M 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 XjyHoYQ8hoaWvSrq8rs8tWM9xadDvZFYF73Z88a7m1jQu/WoAjwK2OY89ynIPBOeG71eXEs9jY9evbR5CzzYC3I8/CqOvV+k4bwc9ku8vSchvROPKj0x9Do9M649PIxXgrx3SiK9Hie8PA0BlTwFx009iYr4PDeTUryoje88u93GvStOSzvwBc27QghOvfDAiDqBNwY9ATNtvQvCqT1QLok8SXDmPALyqTzCNYs8r5CzvIgIoru8CE88jZVJvLoqBTxo2km9/J8nvP8Fu7wb6As9riqyPKPeED2lvi29FgjGPFh0sDvQvfM8R1y8O1kX57v+MDU9dIszPTIOzT3OggI77QROvSFnfj2WrNc8+ceFPCHCjL2JdFY9kfOcvfxR6jxqMZ88nfPiPZaK0rsFOsM96b2fvK2XCj2eulu9j+yovczMoT1QD5k9f2X5PIOT+jzFrQs+FmcivfTTrDwNEaY7GQd9PXQWML1wOgQ9DjC4PclHoj36+zu8tT/JvWL4fzykRby8M 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 HCRtPe1avDz1wee8zWZWPfErZ72ppQs92fzXve2dmL33UgK8ZcYkPV6D3L1Nres9Qj2BvYuEPr7SjwK95HUAPRY5gT2S5nm6cV6mPTQg/7v0yNE9f26MvY4y5bn88GG9PRbcPCcbRL7u1Ck+YF8VPQ9gS762T1O9OrVxPSQuiry0/Kw9eEVIPZxHF72uXDi8GJTZPbdrFT3oagU904uMPADDirsuZ0Y9mzmBPcok6jtsSDa97ajHvFWy3rnjL1o8tW1fPSDohL0SDp69znq0O/G6oT1E+bo9ScUQvMhGyDzjV6Q70TelvMpFkT2wi4W85W5cvfJ3wrz+Yj+8DrM5PZwCGz0ZmpG9O8TXPcpMMD0P8Cw99CuDO7a0rzt+ehY7DzzvPLJCMb0/b3q8LvldvXkKk72x9Gm79/ubvLQNbb0ek1e62BL5PbVccz0S+yE+rlF5O2YjhD3jpia8aTYQvU3E6T2Yghi9z/eovWPRZL0r71K9ThdWPPeGVj3evtu9nr0hPjBIM 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 kT4FXT0+OdSnPWGe3rwGgK88vhRPvP2MEj6cbOe9lQzqvaiKY77n6fc9kOEtPS+Sez0CfLq933SiPfpAMT6TR+U9qt0zuyKVsTsar4w9HHyuPVdo2D3mlFa9fpIHvv0LQb49c7c9hmu0O2xXsb17xzg9dN2SPY6qxb2gKRG9THmEPWbS9DzECQY9HtNSPZGphr3e2mA8G2tRPTRwvDwvXo49n9pCPfjmmb1ifY09NaYlvfLLeb3PBou9KuRNPdfmHDtsASM9kQLnPLBKyL3w2Y68V3FgPRY4ibwtVKI9gRDOPWo7Kr2Fv3E91kXivPPq9zuolyC9TVmmvGm7172ADZc9AU5ZPcGIrL0LNi+9XxYtPQAW9DxTjJk8Vik6uT+8Wr2eIx26vjbIPeDbEjpMKfI9/QpkPa3Lqj0OJUY9FHYePORirT2jHI88WLnUvV82UL1M/W09H3DsvDqFi7znMiK98CPzPZ45Ez4jerg9h9+8O8oEiD3mBDM91md4PAxaBT7yiJ27M 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 ZNOVvemJcb3ZBMw9w0njPGhlLj2Yk6e92VE3Pgu7GD4UC3w7OFeKPZM2Vz0ENW89Q/g5PQxwrz03wKe8QmiivSTrz72XdVg9zplqvKG/F7zVDQC+4ruUPdKxWT6sPDI958kyPOIGhz2UpUO8jX9QverEsT3WlFO987wZvlMxuL3hNpQ9BONivQq6TL5zBfQ9znnOvXxMR75IO5C+Mwo/vS+yEz0qOum7RQOXvfSbIL70wa095/ITPiY5xj1QMqm7oAjBvVzmJ75v1Ko9+98VvhmkNr6eKI++jPzTvL5YlTvDul88gdIZvZN+Y77MHBg+3N2dPR4jlD2kMR88Pz8kvTkyR74Weww8fL8vvoL05r1aLhq+brHMvCvLrLyvl8G8BSTRvZRwQL5a2349y/FAPYtqTz2pawY8bMkSPc5qX76NdaI+XyeQvicOpL6ZWrS+UFdzvhxNujysU8E99ydAvQ/Yl74IAwI+0xZivHyBRD5fdV2+hh9TPXXtJb5RA2k+frN+vpQXM 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 az7KxTY+T9fSPI+ALryieUy91ti8Pa30Rj63H6m9zcg4vunbCL4qojY9IbhRvaS6eT00nAu+x5o4PuXeKj5Qy0I+M2HsPPOYOj2sB2O8Moq+OxcGRT6romu9QMYrvoqV+r1dIkG6XL0Kvfg/f70idpu9XG1SPT8Nkr1P0z2+xAizPexC5D3PDx69NwuPvON9SLyc2Qc9yF1kPT2+7jxgPkw9zBO4vH4Al735GIO9KMtKvRtSXr0wruq9swFAvAailz3aBuO8G5awPM4BHb0lnqk9k9x2PUJz5Du/tfG8y5fLvVJ2hL2Prbi9n8F7vURNvrxr3wm9CNFnvCxrcD32bzy9udljvVL7E7ywUcY9RWKqPdAPijz9yAe87FJRPVXmpb1nNFo+/u0ZvmzDJ77MF4u+dWGsvbqBA73DyJA9k3DhPGb0hr6o4JY9nhASPfFK1D14/Nm9MA+SPEq97L3WmPM9CQD8vU/g3r0maYy+jgLzvbB3gb1j4XE92p50vLTiNr7vsnI9M 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 He+HvVArir30wAi+66p9PLz4vrs88j69mpb7O9U9iDw6Nzw7snSBPUryyTxoxyK95/iIPNWDCD1Vqwa9Ywq/vI4ykb1p9ou8TjK8vM5hQL2oKwk9l4Wtvdx5Rj1sOBc9VucgvP7ZhLzVm4e8OJ8auflwJT016uy8KcI1vWQLeT12RVU9cMD0O2QVEr2pDYU81tn5vZtZHjwKkNC7E/73vUqwVb2roAe9RziKuvWBfz3t5T27XG7YvCroML0IKxK+ZRIKvTv8lzx7Dom9x3qpPNJpVzxe3D096hY/PRmRTD0Oov47/SvCvWkKCT3MjBO88lo0PdKq47zIgiM8JuY4vZf+8Dwuc5Q8I76DPBCYIT3lfNc94P1zPSGalT3TSHW9bEhTvQeH6D0M1PS8QlJ6O/lkPD0CB6k9NRjWvN2qtzysQX691yJaPUofDL2au708TgQLvGWtmTxLo3y9tG3wvbNgpbwTzB0894U0Pf+sGD1PFoO8uvuSPFHdq7y0sMA8DOITPf95M 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 v71q7qG938gTPXY4JL13G4C9AoBJvdQBnb1MsPU9sISBPXgxET2Gsz69OztGvRJtDL5XP1Y8HkfuO2Yv4b34xRi9GrcRvJ9+5jyQeDq9tPPBvdD3Bbwp0WI9+okYvZB4sT0sdVS8Q17Hu1x3xz1KzMY6URrUPcJ3zjycvDk7VdkEPmK9ob0nFqg8H43wPTCQHLuQmvO8sWsPPQDnrrypzYo9EAmbPVaUoT0szJk8A0bgPbSU3T0tHSc99YHKPc0G8r2wFrQ9mycIPdyInLu+vby8XUsiPZZ0czqeCHo9o1n9PJwu7Txrbmk91wcVPWp8pD069g89Bik7PSXNCr7WIQq9HksuPGZwyztimoO9O/ZYvWCH9bw2UUI9pcJCvV2MGD0pjkS9yDX6PeJorT36CZM9fkzyPFnVZDtyghK9wwe7PXZKID3AYDW9M4xQvTWWgL2+Lwo9M+3RvI/Ciz0yNM467GliPfbGRj6fDYs9O/PePBubN71K2Rk9gT/sO7MK5T3Kxs+9M 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 Tj2sN4c92xrKvUhl2Dzijhq9xbAHvAcBaj2bPna9rVIhvbXtZL1q4HC9nB46vVEoEbxrtCU9uhqtPORN7Dy4mN07s6qRPAh0njwcjD29T4x+vQvX6zxTQQa9vAw4PRVYhDwPhY29fbVqvbKIFD0kDr88ox/iPHqTpb18JMe8pMh+uzjNCjyZWNI7JulEPYPokb1dIJw9KPewPe2TdD1LioA9SXRsvACEXr2BzWs9hIDhPNKxKL1aYNW7V+d0vA/wnD1mzIQ7JYm5vBiVkby+mBQ7y0ssPUIczT2V3r09jtRJPWlz1TtDFHW8FR+uvOo6Pr02jPE7nJG9PTYxCT02oWS8kPotO4hSVrx/nXw7s0rNPPwWxzxuIjM7qhxHPS6Vkz0xO5I8UX8aPdqQBT3/FhE97hKhvRdGor3Jgcw9bMHkPFlzD7xvv6e9H7vwPCwHZryTxpE9BNuhPX2KnT2g86K6VtHUPDw2pTwxQig9SZAxvRih3ry3zGM9GrKBPYp+1bw+8Ba9M 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 Pb3CJQ090RyDvCrd4Tyx5Qg8I+1JvdiflT1A4BY9ZGgnPc71bL2WUOQ8+G6/vNb1rDxWw8y8TidbvCGRij0Ga1Q9RScwvd18/DzNdHG9BQFPO2xCIbtM7v67N1SEvWqLDz29XS48A/1pPQFSD73XHzQ7sf/BvX+fZj39yES97SIZvtbLaTziFr+878C1vGjMCT1pRZS9Z2qvvKctArvtXfu9AOSHvVABCDt9eiu9Xc8YvSpB5TyqiFs9ORZdPc9ynDyY3Qy9Sju8vWr1Zz1p2mA9tNt3O4xThDyvGS88zW+FvcpvHL0AuDc83QLOvLpEFrwxq8w9TDF3vOPDIz0yqry9fBR7vQ8c5z0XnPi73aZVvZhc/DwtHbs72YlZvZ0DZb2WEwW9yRnQO5jz1zxgjNS7tcpXvWMIOzwNwl29DWeKvTPehz0WBhk8Tvc4Pd9rgryDjo48inccPeoKVD2e07E8LcGXPUslgzzoCW68Rkq2PTmfqjzFwfI8YDbIvJowQLtri3+8M 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 VAUfPKstmjpQ2FE9kQQ5vZbJjb17pdm7vNJqPeqDtLwYS209tfLlPTkfqju9Vsq8GlGFvHfe7zxZMaA8VOOGPQoJEj2fLkK8ftUSPQDOkzxi8tg86cjkvBSuF709AXK9b1WgPcrq4zzCn409XqTMPGseYr3wOTQ9lidoPW+dRD0k5Oo9zWApvKH7wr1uua88kBYnPA4DJ707nDi9XrrKPUuNljy+keM7/PeKvBNtir1+NiA9wSBRPaE6uDsQ6R4+sTF5O92ckL1YVZ488/s/vLkHyrzZMnE73OOcPZHgOTx6O248PU5KvVLYQr0xTfS8IeXsuzM5IT2mKSI9Z1OjPK1ALrwQzok9euMPvfxM3jvavWi90MJQvXMVaL2Ivk09POODPULVKr0bwaW9patJPLoNYzqdrrS8s8LoPMRTJT0bE7U9T9iNPeytSjzLIxE9gX4XvJMQm7w9c5c92sKDPWwsQj0SGim97kwqvPb/9bwmOQQ93NytPaSyE7xVQSA7zx8wPXK5M 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 DYEDPod+67y7tSg+DcplvKK0UT11KIi9hw09PbO3wj3Ia6896g/QPYGeFb1lAfy9czfPvOz6Az4Prk49IgIpPkSqxzzE+0Q9FQq9vJhXtz1P0RE+gcQbvdjkRj3D0w+9oN3IOhG1dTw+GDq83z6wPJ/Q8jxxUMW8ZoM7PL0es7wOpYi91EUVvUqLTzzIUI09nPSjPVryAj19ERU8iZQ3vYLNgDx2di29M41nPEALMT3qDaC82IB3vFaCHj3ufsC81g7qvN6yOb3MGh467N4tPBz1jTxfYJA8cSbSPRncYbz9CJa9OPQavQbmPj1WrCW9f8HQPZgJELyaNWU8PoNMugr5TD36Tw89RwgxPdrWZL3Vzxq9jL6XPTPoGTwzdEQ9qbZGPQBwgr3w96K8YSfAPTOCuTvFarQ9u+LLvdmiyLz3SK+7wtclPWsnjL1jEku9vy45PVZRsD2s1+07+yfePB55Qb3e20Y84iviPX3LwjxdMrs9BZs+vBwyYL25EUm90G9TPNaEM 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 wD1YOWHr1z0/pPc8S5KbO1D2kj3umee8SyXwPcC5mj0efZQ9JQ9uPcznITu7s1o8XPv6PaDmhD3ky5U9z2QmvrLrXL3CCl69V9HhPG+1bLw/fR+7C6u6PUXldjxFmYi8BOLWvWdMfLyxRvG8QPwBPe9+kTymMdg7jKbIvdMy2b1hzOG9L+hbvGKWOr3Y4Ak6/hV3PTI7VDzDLhY91FbGPHI0Cr3r79u8OtOuvbjBkz0XIVi8ER7bvaFJ9zyD6EW9sbNmPR3MPz0ankg7U96pPUaDA71fEFU9VhZ9PUc+Q71bjzg9K0rrPTG8N71Lmp09SIoCPXOvlzzYdEc9dsGNPStMnz29fBU+u+GEvPGsKr073S29j+vBvFRkmb19lww+qQzFPZxQmrvQFjI9jo57O2yjJb3z36K9UB6ZPMtRFLsGm6i7GrEpuygPlDzWlow85RcSvdoyILxhnq+9FxchvWJNbD2DkHi7IK6bvdj8qbvK2V69f0b8vD7TIT2JMHa7Ch6KPfR1M 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 crYAPh5DCzwugAI+iC7WuzFnhz2fwXu9KSfoPN8g3zwAtp89X7znPXR+Wb0lNZu9SM0zvUcNyT2jwPw7gbPKPTtyf7uCOgQ+tYExvbDrSz0E9He9vtGMPWVCiT0wx6w9V90iPjx1sjp6+ly9IoMfPsXXZT0wIJ07TKycPWCoNDzUgE0+/XbJvRkpHD4X2Wq9SH/7PUR1rTxXFQg+mL0TPsRewzxtE6C94kdnPVbV/z3CrbY9LZIIPm5Z/by1NC0+UJ0pvZvJ0D3GaQS+5Za0PZQxPj03mh8+oqoQPvZUnLw97im++idGPesayD3HocY8wLTgPVeyJ73dBb09s+ievaaNwD0xlsk9FXjHvPfv+DwlCOi8dUYTPS4XLTxyUVe9Z2fmPa2LNj0BqZO9uhKjvAJPm7uUHYm8UV3IvW197zzNjzI8DMjlPVbgrjxfZC49XwMRvQz/zT3ORbC9h+5RPJDTET6qRwQ76YmNOxyWzbwo5Ai6YJSrPLYm+znIJDC9ZNB9PStBM 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 76qPvYm1r71XR0I9SbRLvQ3eWL1U5Ya9C/Y5PbG4Jb0ENoa8+TIGPiOPqzzjsmQ90S8CPW0hq7ueuO49mtCiPfBcEz2sQWk8tRTsvIUugr2LJlK9VVncPWA8w71ZE5O8M4YcPoopojyp67U84Rf/vPLuO7tciPo9hZWiPbBZkTsvzbk9mKd2vepDu71CuwG+kKu/PWHvsL0zesW6JJt+PbbP5jw0DRC+EQrWvcBuMT01IF67vRfyPGAcvTx3Vsk7wVjWvO6xCbwI5J+8UptoPZFBbb1YNEo7Ouq/PYcsHj1GGug8AlLuPUi4rr1e0BE+sXm3Pblq1z2Uxp89rGuLvQZZ4LwmMI+7FWtFPUk8rr2QdPa8BfHsPNRXfj2PsXO9h6iEO1A2J71Q7Ac+f2mqPaRq1D1KIB89XHobvvJ2tr2VsZy9ZWKOPfcV1b3BBWe9QICgPYqjBz5HAfK9YUIVvsD9Br351Rs+YS+gPZYsjT0v0aU9TTuOvSFtij1a+eQ8qY2UPFHsM 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 kbzKouE9JBqoPfYBnjw6zUG+d7kNvkRjxz1jzh+844LzPY+jVDw/iB07T9+UvQqEkT1yDZs97ds2vdjQnbsu9Eu9btwWPSPLpD0sJoe8JfK7PRXryzybePe5KL5nPQv2DDuYgZS9p5AYvrXqhTySuog9Wp0evedrmb0DYFM9YpmQvahFhT1+O9693v6Tvf0NFj3EEvK8TCcaPZlihz0DVCe8cbXhvCIpKryhsxw8w7s4PCtUXr3Ys9M86jgvPQ9zJz285eO9I+GovWVePz3RbIs9nFcePkelYz3uW9u8aMP1vFaH7jw3lSg9xpOBOxNJIr1fTKS9oqv6PSZ+tTsbwkM9d3kHPup9eL1s5fs84/sMPvppQT1cH2o9qElZvfwKLb0MXq49bNcvPcJS3L2kq0u8fQjNPTAMZjz31nE8WI5DPS/g17oyZBc8Z0fFPU4ugT11nYM8/0rHvVCqz70snIa8PI6PPcTGXb1t2ck8WVHcPRK8vT1ZhN694lW/vBtUSj0kDLk8M nOPnPVANwjvKP4s7QXKEPTenGD0sNBE9ku5APZ/HPDwyMlq8Ofs5PXiu8TtwDm89Z3fRPYV5BL19GgO88Au2PW8427wY46o9IneQvTWzFj02EP88noC6PI2NA71pWno8XFp3PYTEKz2xjpA95xjCPTl9sDxcSZq9yrUxPDySGD3oRfc9GQkCva1I7ryhU5K9NThwPcMkJbyD31U86JyQPGw3ET3Ecxg8gTljPUPxgD1JlFA8/VASO/tm5LvSLDM84MqSPaBC/LwcnHo8xJ0SvZ4tez39HQ+8Wnq7vOftwb1C6dM9vTzAPfETnr1oxfm9YmkLvdU5hjyLNoM98a6HPdLCCT1R55A8l4g3vaSuiLrwWlG946DUPJvRxb3os8M91FatPX7JvLyAQKS9bkT/POOZkDxgdJA9YC8WPZYPgL3yNUo9Day0vZzaBrxEk0a8yW/Xu4GxyL1/nr88Ops1PTix37xoyrW8UoeQvFYJi711RXy8xY5Su7hNpr0GLnS8Yb6HPPpHM 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 TkkKPfJZkj0+S8O6zWcQPTvWDjw/BoW8qECzvXGP+bv/ee08RlhsvUypb70omK08PwYkPSTvJzwufgm8AFAPPH5nCT1S2VQ6YwSLPNTYKb0n6SW9PSi2vMINrLteg8K86P/ePEPd5zzCV3o9L0u6vDPmOL0CIyY8BsH1PCHv1TzAmQI9phEaPbboDjwjZrg9L39KvINAQr1NKp49np6EvLr8GLycgHk843OYuz9vaL0a6a+82i7cPAd5Lz01z6E85yxhPOUM5zsXDeU8orxEvXBRgr0Qq7A8VFcBvfWaOr3/fo28SQbCu4RQpbsgEoy8xHWSPdNsNT3RwhK8bqQrPfbyCr0gvQ29QqQsvSxXsbwX9Fc9+WecPGegAL3V/Wc9N0ghvcWoZL31OYG9iKLCPNJIOr1YnFQ96G1ouzMTgj21K489V2FOPKLwGjuJdL09Mpf+ux2MK73T5p47NIT+PC715bxyr4K9t5uDPMi+kD2NiXE94l+nPeG5dD0q6fi8l4oWvZiSM I72tcMC87A9dvJi1cDyJ1Hc9YdM+vCmEvrxc22m9dsTxPEDkcrxnBFm99TQWPVkJJj0dIrK8MYJNvMxkh7vQYWE9rOAXPTMLLDyp5F484bPlutUgXbwLLou95y2JvEtt4bsThMm8rtURPY/fTDofIJI5LUSNuyWJkL1LQsE9iIXbPCfki71QVom8JL9EvYktQ7wuf1G9J06bPH2hEj2uzq4879EGvKxZCT0+06U8kZzevJ2VR7ydLES9j7gbvArCib1XXwG8X7FUPYEUF72S0k+9gpH6vJT9LL0W36a9K5Soui0rDb1/8DW9bmfJvBHTfL0/qnQ97d4MvL1FYz0qB7C8lA6yvW/9VboFgTq9eLchvFHX77y1SAS97FZtvPlV/Tstb2A9wCOVvYfKXjxWkIE9RefdvPvK2Txt8CO8BBXHOyj0bL058C69roQFvWexq7xEOa680MivNl1ISb11XRg8OZIOvu65nr0D7YO8D7SkvQ4XRzzwzmk77CVDvYWnj70pYPQ8M 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 BY8hPlwUcT3Jwbm8XJSxvZuAjTymMII9Sx+RvZHL1bx0Ini9890yPd1ipj0px0M5/M7TPUZ4ZL2DxUi8C2OXPQvn/Dzoth+7kR+Nvaiud7rgxUU9np5nvRsNzL1kn+W8ei3Wu9zNIj0ikdE7RZcSPZnforyRDZY8aljvPTyMwz1LYx498EJBuz0t2b0hkIW9tmBdO1HHkL0qZSo9Hs2FPV+TfD1cNe29y22Uve0/4LuCfpQ9NR6lPec1CTzzhxQ9+owmPRtvCT3AJGY9Ze0uvU58Uzxm25m9JvjIusKWvTzBQXM8WEQ8Pop3g718URy9WxGNPYlF5byoFM08mA5TvV+QP71uwFo8iIMkPYquYryEzGm8VVKyPOvmjTux5qs9IwKSPT4tK72/IW29IJT6PRm/77vVMD49cr2QOwur9by86x49P7B4vQt0kDvS9yy9S+FBPXKt9zy+cEy9yWbqPNy8ujyqOHC9e6+fPeiuibwFPMg8CkvOPYFF1bxZy+47aH0GPE2oM 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 fPBYvMk2Fr3ju8+9Dkc5vcwa370DYqy984nhvAjhUrxYN7S8avaRvRQKjz21wdq9f1ffvPG4AjxUjpo9xJL2PIx2+bxJu9K9yoGtvMk5o71f33K9V+0Tvv4Ybr0vOMa8FI+vvQMf9DygTOm9sQFEvTWarLx1P/E8q+65PDOlA7zz+yi+V7T5vCiZoL1Sf6G9KfIMvZ6NFL3DdnG9ALh/vS0rRz0qcwu9nuhrPIAJ1bxQZZM9xKWiO53fij2OwqG9iV8evKz9ar2cy/E8l/4ovtkVwbxnR0a9qoGkvQYZlj1ENpy9Qq9RvaYVybxb03i8hmz1PHfWTj09UIW9ywo0veCz2L2fj+G8pShBviy5C70S39a9m/4xvoE5mzx+SrI7kLFePf1SOjyUAU09oDqDvFhS+7waZgm+IYAKvT78pb1ttLG9DC8/PGdh8DtJqJu9mBuSPbrMUD1a6ZA8z0xPvZ7FB72hgZM9WbqGPQuPAT2A48M9KR/sO58/C71IVUi8trWbvfmbM 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 o7qgi7Y8mLh7vUatvrm+NdK72rYVPWU8Rb3hiNw8Z7HMPHkw8LzDPbG9ZhgMOt8cWb2bqe48dGt0PAOGLb3WavU8e1zzPMmO27zqaQ68z5C+vMCdYL0HHYa8HS5jPUYW8Tt9lmk9xJEnvZHiyLyDdKg92LSfvb4as719FSQ9KpoYvRLIZzy0WEU9LLuavNqbx72vs348bGgMPTybxT1Ij909wHmOPYJs8TybkV+8bBnPuxsxub3XzCS9UfqdPAfRRr0bFYK8nl5ZPYEp173VRU+9bavQPfZCdbxoeRY8JL0wvT9BOD3bjRy8xmhivUf7db0MjI891lTRPIdNNL135vS6xJ9MOsHT270/3aW71eJsPRHiprwnKxI9WRXSvIWQSj3b58I9WLABO1fILr3CIJ48t616PdJgRryyHj+8TdpAveUdnTpSSge9p0BAPKn9ljztSUw9YVRiPRI7TD3OMka8CryWugLkJb0hea28S6+xPAqhJL2NTPY8LKKAPP+Iv72s+MS8M 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 kD3IjHM9AncZPa0ms72Kl4A7DDevvbQpBD2lyr+9uAyTvRSfS73xcuK8twOTPZDdYT2WwYg8ezpoPDuWWT2FsWy8vvkqPWjGorwwuWc9S2+OPebSPr2Jgmm9OrFdvWuEAzt//pE9C4fjPFVgYD2Bxak8dycLPiSo4j1r0N894gOdPWXDOb30DiA9zil1PQDsoD1Uwga+Q/ZPvZKFlrzIrok9JvXjPQR+8jyO4329lJkJPhSJcT3MWBc9r6LlPAVHcL2BBM68/PAFvVqhKD2cz229qnNnvXxEm730JnK7+B8jPJAlDz3cPXQ7Y4WiPGaefzqzC428RzXLPfFY8bzZFaQ9CbegPVD/mr36jxm8bIUJvbL+pLvmaUQ9aIYtPa2d/TyUY089ZTe0PAc1oT0Sho49TMPivEfPN726RbQ9ahw4PbQyFL0byzO96DNMvUzCezw0UYY9hHSsPT9XjL0vozi9YaxyPeWbtzzBA5E9+SKiPF7037ycKc85FhC6vbLUij19isO8M 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 frzWBxw9ig/PvRcKlzwm6AG+gqV9vbPAlD3Xm5y8FSybvd2tB72W+329oWN6vLZI8r1NlrC9qmK6vcNY9LxHJh87hXHEvQFZC7xo1G+9meOQuzVARj1GUSm7vgmqvWhzXb1BLSe+3cxrvcJIB74JF8W9EysdvR3UkTtxAS68gcN7vcq/IzxkVD+9QvNxvTjnFb0cBCg9VPi2u90Cobw1Pse9evanuucNdb12xKG8gTGavaVCgr3XQ7s7Tfm5vWYOLT1HLi29lZUdvU5Fa70UIzU9FjeOvRVra7xIKO29+VU8PcB2172eADS9PZ/uvVSWMr1RGr+9wDRIvqF7szrzEH+9ATDxuoPhmb3XO/k8Lu9RvPbnYr2SAwi+F/QmvPWMNL0K67i92c43vDA8uLwcHfa8aD5iumDxuTwqa4682auFOwsxcb3XUcE8uXoCPctHo7vRmJk9YRMcvVYQxb2utkg9wDPIvfbBsLxr9Eu9WJkDvTmFQ7xwAh+95ZMEuyC9NLwjOXG8M 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 mmcgPYlLLD3EO5q9F7q7PcFNKr0bDwA7MjLLvU43lryVJR29Hg5xvZO5hr2QI6c8Cwh3PNv49rx/YI88alTuOx6iCD1rVgu+C+Apvato+71my9G9+SY7vROVVL01VeQ8+3KpvZ3UoT2knjG9KqWBvEeKUL1fJq28kt+OvEF0mTuzTW691DYhvXyvMb2QmUE8DM0/vQvDjrxTKrc9wrSmvbxYjzpkEdG7zPa2vTeRQL0RiCk9i8tRvaIwEz0eJsq9j85xPazTGr2TATa9+M3vveFYGL3n0j29ywvWvThWwrwtKzQ7RVyiPL0qUDwCgY87k0tZvSIPKjz+Jdy9oqaUvav8h7zow9m9JY/hOxZWpbvvxF49QfBvvbzBMz2NQaq9/y0BvpQdVz2J9Ra9Xh1juw+hoDsivf29y6dCvQT6Q7yvBp28rIO3ve5cB70vk+w9qryDO5kdmj2RZsi9Qhq/vVRUND0vqrc8kfKcvVtglTxpJ7q87rp8PbBJNb2gC6C9jylJvca4M 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 Rr2dRaq9xgRMvTBBSDrgkfs89KGvuuWOFLwuD9w8xkWcPPLP9LyM2/282C2UPWGyVLymwOW9vUHvPF+pbTxD4RC9GN7nu81MBb0QG208w4tVPZGvObw2jmG8d/JBPTkLeL0KM5Y9RbR3PDKsSL0wlhg9oBQXPbwDkj135dK8Lr3LuSK7Vr1ptYk9sXAyOxhZI70wfqK9psufuogLizvMWvQ9D3SfPX/aGr3GJya94f4xvfEGHbwfl5e9R8sNvJWYsb0Qckm7g6opPHY9Nb1aDCQ9d+q5u2fohL1auRA91b2su1OyP7zQO4K9tD6HPWPljj2Lscc8qkitvAblRb3FcGk9CIlKPajLQrs2fka9nQYHvCOZm717oyA97mSJPXpz6TzF68C7/a4gPeiqaz2M7C+9T66FOzqZJb2qmmY9mW1tPWPYDr1qpYy8/RbAPPWDcrwFTzg9NsZqPZLC+7w/3Fm9h86tvWWU6jx+NvA6k+Q/vZf9Yr2oMGw93vqAPdqtUb0nCnc8M 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 V4eZva7ZJTx98Sq9TAOHvFCGdr0Gsna9NuTAvBdNUbzZjxg+quAIveO2CD0yr7+7I7jFvVFvijxIbQo7LGcsvRzYELx7QFE9T7voPFzYD778OJu9Td3fvXr9Nj3GLy29TzgFvVTDT70AIao7aGlzvZOtsDxAfTS8RxCovXSZkr3Ivo69qme/vNKZyb3b9gy+kfi1PLXmwDzQV8s9Inhyu1Y1iT0GOJC9jpNfvAd5uDwBukk9LthZvKLjRjy5zYa9LsGDvNImXb1Ie9K8yMh/vfBEsTyugbU9R3aMvUN0fj2qXIi9biGePAYT5rsbgzG9NlkLvZOdxLzb9Cm7LT/BPdisGL686zu9GUUEvmuk2bzriYu9Yz27vRTxRr21/lS9lrJsvXvgSr31Uq49k8A9vbAEDbwrJqO9erc7vdRIvL1dlxu+RealvFbLGb3FF5I9DHk+vQ5iQz2elF69AVqxvaaL27zK9sC8o+1MvX+dDbzS54e9BWyMOTCU372YD7u9PiKwvdDkM 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 kD137D49rAZ/vRbP0Two1LQ8fjF7vBK/9TrjBY29o5qNvf7OqL0oXT+8X7FMPVh2ljvfq5E82HjBvEhY1z1r7S89k+wAvlTPjL0zFbK8p/vGPMsyvzz+mqO9i/GyvXM+Lb3yrYi8Gi6oPVcfjr2pW2u92WObvXJV37sb08S8oByuvdqTn7ymbEE9c+/oPN0r1jxrxL67SZHVvUjXf71eqba9dK8TvBHiW72GR728hEwwPG/TILwL2xg92RiEvWoNBL3HwCo9OOlPvMXEXL2kxt08SogwPNnkK71A0mA8Ls0jPcvhK73V0sQ8MyuTvTPnjj0jJSI9WXOcvY0iF73880E9fE5APT5JNjyW7Q69bL/rvfOarDz9Bau8lbIGPHJgF7x8TC67lqGKvfGVfTzZsha8yp/6vUU52bzvFww9irCsPHMMGj3NUm69/v/KvGqsir2jSgC+1mOyO38DxbtjYmG9ZlSsvPL87LxZjPs8KLHgvIEvMb0Ihqw9icSSPao2jTy3/Nm7M 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 1ql9OygtCb3AjRU+cu8OPoBnzDw0IJ29AreWPMxsvDweVCa9iSUdvXJRmL2oMhw8CdapPZh77rwCDa+9yrtXvfhJbb3lEgo9bKtbPHB/07voBk+9hcRJvP6IUTyE+gs9jhE0PSIVnr1NGYo8UU+SvDLWqrsTQIK97FpfPTamsTsd1Li82Mo+PSygQj1OLx29UF/2vDslYj1MWos70YYhvYpUV73WnXy8Ijw8PSTSMz37i0q947eYve6WN73n8kS81ZAePJQ3kz1zdo+8q9+AvWA+UTvYgle9qi7avIUp1LxlaBk9ds+uPSy+Hj3HGKO95nZQvcV1BL0nqEq9I4+JudmnV71dRtO9NP8ivfMNHz06zrI8FP+PvLVXrLxWAzO71V9ovMcDNz24Yya99pWXvYJOFr0vfqm97PXpO5rDAbxDTO88EKmZO3RXhrtSpgY93NGzvRhd7zshq0y95HwXvd/DdbylaX69dovAva90gLz8RJq8IqatPYvnsDwguLW9ldB8vfpyM 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 +zyp3kU9xpZ/vXixtb1h1QU+UmFPPTXwz73lqKS9D5haPdMicT1niGo7GSXdPcdTTD3hyy895i7cvd8Y27yg6VG9SZKLvQzznL1HHZA90OXnPbz7O71FIoi8omh3Payzqrvsjg29zvxcPeC8qzzP5Ky9wZxYvU/+dDwteOU9BVpOPd6aKL04KZo9UE4qPU/Tg72aoHK9aCmrPOep2Lz4yiE9lDS3PR3apT3kSvY8StPrvUfuX7xF1IE9MCYAvWJBGb5w73A9KgeHPSEmZb2VcQS9K58pPfAPQLwI+a49OoEoPto7kLyWENS7mWkdvl4B3Dxitje9O8GCvYvAqb2VN/w9s9mhPdmlQ713rDw6BKYkPcnehTxgjMK94xSYPavmQb3QtJq9i68yPbsYsjz4lUg9KodNPL0Z0r3jDr89XQY8PRNqxb0v7WK8+03BvDobjr3N0q09iS3PPc45iD3kFGw9/1emvSmMIDxga4+8i8Y2PNNqx70nQuk9IFmqPYDfh70aEGG9M 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 Q72vA9e9ZgjDPMIGv73FR2I9BtyUPVEguL2Nd6W8C7gWPdPpB70Vwb69ZS69PZzAeTr3l6i9KtJovH98D71EFas9tsOwPfCWNL0Qnwo9eZ4mPbQVW71ELhy9h1yFvOoiDb3KEMw9yvLnPYMyg73F3Y09DuBMvXROQzu4jfS82/QEPSKPxL0OL7g9kw/fu36Y1b3xjQq+T1ZaPDBdtTw8jvQ9FzTtPW91071bNSm9xnHPvVfTmrxFS3S9JgX5PMtxn71Oc0E9zAYePbXsTL1oO328QAHMu4FtcDxeG0e9tk8sPeP9jzuVeUG9gdO2PBbajjrNUno9zjmlPU6xvL2rl6g9fKBDPdm6er0ZOnm7k1OhPJFxeb2U6XU9nJraPDMklTsxhIU8WuSnvWHYLL2yrhA9gREGvbuU1L2Nh7M9zJ3kuvAEg71BPcq9UTUhPcjFXzqgz9A91+qcPVoQCb149TO9aVffvIMsVrwSVOC9RWRevKOgmr2opg88mYVIPFVtH73BXhE8M 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 n9iFPG/jBj0W/EM+tDc1PYhQyjsLs429Kj06PRATR7xdoEU9dE+dPT61vzxgPA69KKkbvWaknj0hHZe8q6L6u/bKhb2jPPA91cfTPX6miD14VEo+6bzMvaWZcjxFiwi+KdeVvfOQIL2/Ib49rrWHPTjgmL0oiAu+X+WMvY+sHLwdRZi+3aTUPskaYT1NRZY+6JDuvhP8s74w4sg9TbAhu70Ip77FX5u+VpXGOnGyCz7GLYE+Bp6Xvpcl1z6vSbq+gm6xPo+K2Lu7Yg4+Po66PvIOJz6O1a0+SQaevoA+kT58rIg+tla1PT8qiz4I5oU9mwxpPUClYT5r9TQ+4pe9vdwW0z5akOc9giyOvkQKA7/I3sW+GOswPhRQgL5KWG8+76InPvPyAT9Tu7a+86PbvpeKjz4rTR4+6nSDPaqh6DhJgYs+TcutPY7O8D0IuGC8m1CePgoSlT30oci+4L1zvipYGj7QWhe7difEvchXgj6lqP6+UqG5viTPib69ynk+AiSzvmpaM 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 xL74bi09uMj4vgGdhL5sKoQ9mVfAvjphfr7zhc+9vffrvi95jr4sap89ce6tvQ5qxr1WTpW9QlGMvMev5b6LWgG/PimMPkqFLb5P4Zy+sbuEPpVSjT76C6e+SaPCveNHKz56nEU+lzzSPgvjaz4nq7W+hr2APtVWCj4rW88+y7DevnWdHb5Lg5G+sivSu2Ubwb4azqk+timEPV6us75HP7M+HEWOviFdRD5KVQO+s9vZvpweNj66eQe+HBHFPr5tr72xzI8+PlH5vRh2Nj4TG9S+Lh2xvfT/Tb6TvUs9DrtSPiqpHD1IV2m+Dg2evifnRT3EItG+GWbkvrfeB7/GvJa+5VQcvtYr2L0U7yu9IFmbvrEVGr7WXFi9+wVyvn7D9b0XsJU9xtQXvhXZS75G+w6+hKFUPmcnFb42ams+ZSjyPfcvdD4hTcK9O4/XPlRG2r5igqa9/3+HvtbwNr6T18Q+zvYrvAia+j7/KPi+wzMjPjPJF70ckqu+xPxRvh+Ovr701BE/M 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 gL5ptpC+sCBFvOODCr4d7dy+ahSBPg1AiL7FV72+z07OPqZrbT0wAJo91DXaPhlIhT4GnDQ+Yr5RPgoR3b1OokE+CJpjvi/K4j7txMo9pSHZPZDOTj1P3Ba/rnOevb4D3b49A7y7iug9PL7D7D6Ny9y+/KowvpcC9j64Z+C+IxSAPa+VgD5ZMsG+nU2+vaxtk712Tfq9d8y7PTrAhTxfK54+OicZPjGAlD6vtP2+be+VPJQNijywsj4+Q0+bvreTwT4tcyg+4JNqPBV65zzt+4O+o4NvPjsUkr17472+i06XvnMJm74O5UI+iNDuvdZHaD6Ig2S8TRd3PjibiL4FWVU+UMuIPFWTsz4vRBk/B1fMPa+RpD0MSMw+beKsPk9c7b3R64O+jlnYPQKW3T4TbaI+FW6rPodzQj0Rhjy8hjDHvgBiAD+0y5q++yfmvcOkdb7lKYi+63evvYCr4T5tCOm+pc+xPoblYD6zNnu9ET1QPiBfAj+Z5Fo+mXbHvncmxr1EHFI9M uuU4Pk0Vrz4DV44+JJK+PhzTKL6svo29YFWQPlxrHL5+dIQ+V8c4vpu+kL2thJ++AD6GvVJUsz7KXyw+XdQbPzXNj76dnPO+NWB7PoLfDj+F5Qo+SGfLvZjb6L7IP8c+Ehd0viQbsTzDupu+fI0DP7FMjb6HYAE+vhukPnw0H78FrTY+dikxvr4y3j5dvmG+UVMFP1ld5T6fztw9KlRuPoP5Sj2BVJc8wr+Wvdw2+r5Jovu+O5vRvmkeSj4Vpgw/w0sZvUDF9L76RQG+D0dyvikawb3/W7+8O5znPS6AnT6quB8+NeQav/MhAT/g3O2+C8mkvraxtb7V7ms+dLn0u5asED/TIeI9RBeBvgJyKT8Q6iO/3LsoPxUorz7aecK+p8KWvsZuIj8kvMq9BAZnPmEQOr4XLh8+WIhJvg==", "training_traits": {"structure_gen": "Zigzag", "n_layers": 7, "max_nodes": 15, "activation_fuM nc": "LeakyReLU", "epoch_num": 6}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.M lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,M 50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{toM talNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){rM eturn 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{consM tructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyM le=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.lenM gth-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLefM t:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;M r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92M .799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,2M 68.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500M ,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,M 376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.beM zierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.M 7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),eM .bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164M .8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(31M 6.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,43M 5.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,29M 6.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70M .8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399M ,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,19M 6,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.09M 9),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,2M 43.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.M 7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,M 334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,26M 4.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,31M 8.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(33M 0.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.M 5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezM ierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,24M 6.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.M bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,2M 79.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.79M 9,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199M ,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.M 6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezieM rVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.19M 9,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373M .5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),eM .bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bM ezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}funcM tion O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11M !=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.M n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[eM ][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forM ward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!M =this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=ArM ray(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":M return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new M G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.heightM =this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.eltM .style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._M pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levelM s[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0M ?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._eveM nts[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");M return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof rM &&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,tM ){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.tesM t(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="328";lM et ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setM up(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.traininM g_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2M E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5cM 2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inpM utUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}functionM Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,cM t,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yrM ()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.sM tyle("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("M Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):M 2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.viM sual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...SM e.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,DM e=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.pusM h(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<CM e.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}functionM Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.lenM gth)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[]M ;for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;eM ++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.baM ckground(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2M ,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.backgroundM (255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=HnM (e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(FeM ),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("TrebuchM et MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image beloM ngs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICM ULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,M height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),iM =2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2M +305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidM th(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidthM (" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.M noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","M 1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t]M [0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textM Style(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.textM ("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let M e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){M let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}functionM mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){M i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of GrM owing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neuronsM are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasM AtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["SquaM red",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:M e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayIdL ":"7b454fa07f7ca22e","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> text/plain;charset=utf-8 text/plain;charset=utf-8 UUUUUUUUUUUUUUUUUUUUUUVo' text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_156", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 16, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 16, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 16, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "41UrPA/Be70pM 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 vSGGAD3/EFs8z3e1vABlhDs9Bdc7WmhkPc5HnT2JCA29NewZPVxHVr3AN4y8xniFPaxETb1SHKY8C8gPPao81TzQrsS8U//evBYqUTzimPg8CK60vIlN5rx4tS28mH6KPD3DXL01pau9ABgPPHSQizzKJVI9ZhumvQ4iij2xNLs9nbAKPaQWWD28wJq8woHnPKiY8rwKtpo9iJoXO8UFXj2MbQW9W0cHvakq7rymupc8TeblPKm6vDwOnC49zNecvUfjxDyQ3sA7t6ylvYhWzTrgKKK7ekqEuuSmpz2V2Km9LQWvPd81lzpeOR296XG8PYQ4djzuvBe9E+ERPKio0jypuq29p+PaOqyNb7wrsaU9i2PmPJmFDz2kI+A8NjXYujJp170IGoO7MhRjvRJsj72xmlA9oCOovclXors4FaE9x3BCPIxmAr1klw08zwJ1PQFywjnl3Qo9KI6OOy6dlz3nxtS8ad9dvDXIbb1Urko8wAEYPfjZgz09U407R1aFvc475zoAM 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 PeWgoL16SR09VRUtvfemhT3/6DI9Jrk1PXgDJTwb24E8cs8cPUP6k71jK3+55SYSPWtC9r2lTd27FCwVPTf0Q7uNhRg98UfZvLwyRb0TXNU7KVtKPatKVTuFEVE8U/sVvBQMGb3wmfK6gPLVPPRqZDxzpV+9rN8BPaUT8Lw54wo9w4CVPT/RaT0WYp28tBzzvRXMqji7fhi9nPhYujqEfz04HLk8/QaBPd7nCz19kkm8rC/WPcIJU73pzEg9WbCoPZsnN73ejtS8K2fOvM+IFj39zxG9MS1DPSw1STxY4Dk9TOUMvUv9CL1KzFS9oLlxPRinhL0MJYC8RrMJvEEV0Ttoxko97YE4veyNGj1xLn89MOo3vNNLHD3w07K8U7dePRDJ9jxBGVc8iVIvvY0h5LtDRUM8mZwyPZLmXr1TpTK9CF5BO3CyTz1k8Dg9ob7KvQ2igD0tgAu9SSNGvEHinbxAMGS98ZJDPQmJlzx/64G9gP8MPXbrdTwAfUw9O+IYPUp1hjxkM 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 Ioa71CNQu/bhcL1BfCM9goGWvD7hfbylUG89Z5eFvUpu+jwSaxa9qsG5PBt+Ir1dMIO7rInOu9/uUT1rg2q8IPS/vIu5BL3TNXm8bRE8PS4csLn6bWI90TJNvYypdL3Vwfi7QS6YvWpt4T0da5i9BjCKPdar9DxuAz69XNBXPdjsgr03VEo8choMPZmhhL17VBu9ylvKPGcNujvqcgm9GXxDPFkYlbtCJW09K68hvUg7FD1HG+E7mNUpPTxIab0O1Em9LJM4vRC2u7yJoxm9s4e5vQeGKzx8R2U9V38rvTKblrxJLTm8BGwePQpUa71rnic91WkaPTcwabx8+9u7ICkzvM2ZX723YY86kkJHPcIxKT3BoRc8L1CvvUEPCr34kRk9fz6uvWFWrj3b24a93nAPPcgU8Txy9x69rlVjPVoMEbzftrU7ZxJWPdHLYr09NO+8fthaPVSu1DwXz/y8F1e6PBdfkLysG0E9jxvXPDDgiTxNDoi87sBgPUEqlr1HYHE89HHEM 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 JWM7JbCuvW+YOz1q3Zk9MLraPGaTE71ecmc9xz5oPcmMnDzg2s28YSstvUsgXzyn8jW9/do6PGGSNLwHfP+6CnhMO6amfDydOzo8IAuOvXDvqTxNC5Q89dbSPNf/KT2xx249AWWFPA9i6Lw0fYu99PhJPRpwpToLEPQ8vj3sPfGqdr0u11g90f4xvZCNzDxLrwe89Y8AvWQyfj1C19s8emiIvFfpRL1yh6m9ezbQvIm52L2FAYu8rJYCvVYqkDyH0xm93fetvCrYM70F/6o8giPuO7HpDr1CXwM8zWiRPIomUTqbQHQ9R1G3vQVcez2Bq7Y8s7dbPWY/aLzdYUM81pdsPQHeRLzIfUC9+kuBvTGnAj2d8wC7fjaJveahTj1A5/w6pXCCOyDKZr2YUJW923PTPcyGmjyj3QM9RvzBPVX/P70Wjh29lTRuvct1ujxNquy848XKPN+frTrcjaE8yK35OzP4KL1zvha97CqVPbGPArzWkzE6UI7Au2GqDr3gPaS8vlVqM 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 +gU9YR03vVcmLb0woSg8AWc4vCL/nzw2Oku82JaevY5sGD09Yb28Qfg3vdiQMz1lYBY9GXeAPagIlT1LOfO9uQTBPZl5OL3NHMS6kqN5PSSNqL3BYdw8fgOcucpVJD3IpX08WxtBPaBmYj1lZX87LYMXPWB8RL3+laa88Kg9PGnYm73NaTS94+tgvWHSpTvaCHG7RNEjvXXVCz0HrXk9Nbo4PSjpNj0RK+K8JfOnPU6/DT20l6k9aczAOh070jyp8QQ9Fg38vH4BLb1jK0q9KgK4PYi95DyNXm49Pg61vV5+Q7yQIt67X0acvcg7nD2dl228rl+oPdSwXz1RZ3S9wpiLPRfE2bx2JYA7Jil+PfjBabqqyUI97UitPcbd4TvLcBg7TH7JvBgxibsscBs9brhWvQxRZLt5Xmi8McSWPOdwdL05xFG9rVEtvYCJtrxSl0a9HlOQvfdzXT1C11U99yyIvV25bT2OcbY8cLH7PPYiHrr7sv08SAGJO6uaFTzyZeu8vOwdM 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 cay7QowcvfvBmDuYHgA90sLFvIe94j2W9Bq9AduKPUC5RD0z0+m84m89PQzAi7yK3So9ZskvOqlQlr02IiG9c4R5PT7t2Dy8ARG9WiVmPctVH73rD8c8gwQyPBOedTzArEg82ZyjPRVIx70QsFC86lgEPZEaxL1CBWu881OZvV+hrj0eZ7I93c6qvYuhYD1w2yO9lVGqPRWCYb0MiAW8LRvRuxqHtjy41yA9A341vWGG5Dv5+8Y8TLmDPS9GL7yb5Ni83LqXvT1AC73SkuS8QSdFPD+n1TzPnsi8CkKfPZigHjxsXa697W7iPZqpEjwqPJu6p9BxPUXKrbvuVf48hJV+PT8OJj0ALza9I2YuPdaWJT3recA8txujPIG1ML1cs668ZdWxO3GWc72YrIm9KeEJvYXuVrxUHag4A6YVvcpIbj2A88M94Je7PGB+oTvbk3W9Emp0PcQg27x4GVY9UxwNvMS0ET1NQuQ89G4OvU2OiTzu/3O6S5+nPcsE4TwoeRK9mW8LM 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 UEe9Gu/5PIUjPz267+w8xo2bvPKdWT0lbMc71aAaPLbxcb2Ki/c78BOzO75OPz3OeWm9DfU/PfmDijou4W89tAFUvXB0L7wkEzO9ziQOPT5kw7xOOLQ8A13OvBBxND1mMzE8mMNTOmcpWzzaeUo9u+HmvRUKCT3ibY492vY3vTQe1b3cdM+6yJUUPFmyVzzOZAC9lG3oumYAVj2Iwz+6O3vrPE9IGD0j6x89thssvYWEtbwer0e9aHaHPRJ6+rs/Ij29YKZFPZuUY7wR/uo8aMwXvRRkvTsNIVY8EslYPT8KFz2zEYa7QGFPveiTkjsoshe9f5lwPYjnvj2TUWo9A1qGvS1wTzysGbS8TaeUOSxRLL3BC8098ITcOvKCrrz8yV89BAMpvbFAIL1c9ee7762VvXNXqrzVFbo9vgn/vNeRnL3Zf0I6c+l8Pcrr3rvpwZ87tdVVPYmgB70kyCY8jGgfPTJEuD3TMX68HIOOvRcUjb3oDIg8i4yiPW1NG70n3fm9+4aEM 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 PNQxYLwioWM9+A8dvXEpCr1zDvW8gaw7vWbJm7wl/JY9TcYtPTdzlz28fiY8EVTKvKnfmTxG6oI9RdJgve2vp72GvA49WMxKPXxbzTy1Xde8RpsdvZaxtDwY6UI92dZqvWbndDw9C468+0OOvcCMgL2VG1+9NpuiPUcMnb3ePA69uiIhPQWrrrtlu728QDpVvFlNF72siQo9GV5qO3fViLxRsq+8Pa3CPD8fpLoR/A291AQZvMpTZTxG1Qg9DqEivbfuqDt5M6q7qto1u0/TpruJPRK9gHhCvPGNCLw5MTK9PTWDO9cLAD1mSIO78h9KOhtmNrwXVCE9KpVkOi97ib2DjjY9Jm6APLAoez1drhU8qjMkvNMkEjxRhdc9fYaGPHW297x5Xv85NgejvSWHbr2iika9dSPXPMG8SLx6K8K9XISpPGdjm7zi8K88RridvTkQTz0Unic9X6JgPWwdS70r8cS8QEOKvEmsv7yBZyi9HtYcPJTZgDzxrVM9YsyQvXGdCDwVM nhe9VP1kvKhZizynmsE8RuMAPJgw47u1FQc9Rwb0O+dksz2CME88QKSXvJXgMLypaIk9471dvLQ7or0v4gc7yGyIu2xBmD1+XL+8Lbq3u5miEr2gEL89lu4WPQOcJ72hGGU9ffYlvaxFLb1S0vO6p4LdvDg09Lx6E8O87XMbPatbKTvvTEq8axpCvTYm8rwAx9M7T9obPLPaoTzyfEi71oFVPMpXvbyE+aS9cQulPWMMKL2n0RE90fFvPMnoCbwUDxC9WjbDvGuoZzzBzyy924pcvQvkOT2JiGA9ZEE3vQRgmj3Ss787RwpEvcIFdblKfiA9iKb1u9JpgTx8zz49noaHvfhOzzqoynG92rZpO+Wxzjyb2hC9dcQ6PFTShj3w34k6oUZmvb8Vh72IvYc8dKDFu8kv8b3/yFq7lsIpvf/+AD1wCq48KMxDvHhQkLwWLiu94V0SvL/PC7xmz2e8JB9VPWi2Or3HloO9Al+BPX5ADbwmyjE9xpM4PWB/4zzS3He95/UJM vWjM+Ty5hBA9ZbhUvA4erbszE/W8KqvPu9vawD1eyJk8cs7pO4Z6pD3Xh5i87q3cvPg9Ej0eFW09ByYjvQdvkL0CntK8eeqVvYSrjLz3sxu9LyeTPQRTwzwic+Y8ECsTvcT2gDsG4qQ9QLdjvORCfb3Bwz+9ysTwOwwSX72U3I08LLxEvfBzBD2eDhC943qyPEnytTw8AVe9LEmovIQB7jzby8a8j6qRPQpdj70VVEi9DthSvdKaCL1oReK8aoU7PZ5x6Twt6jW9yNddPJsmOr2DGi88caw8vVOhmj1WopM8zZMUvRpAqDswAkM92gfYvAxrPL2mFM68Z1yYvdUMOL3XPeW83rImvHj4/rzVbP67kZlHPTFcw7zX3pU7eTG1vCmaSTuo54q6Mbi8OwYXZTzFbci7kYhNPbcWFT14HSM9oQhhvePDcruXT++8+xF9PV565ryPIJG82bUKvUhZqbub0Sg9CvdyPVJlIj3OYlu8BuCKvJUMubvNvYa9n8qePFGPB72jM 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 u6UK7ztBFi69kEM5vXl9RT2m6588ZA8rPUAwzzqH14A8CVA8vYobPj0L9sk8Ck2ivDxDoT1BTh+9QGKBPTi/Rjy6jT698WEoPRymUL3ZuGs98EdxPQHb9bz2gZ88xkgTPWFmszvRody6WFGfvEwYDL0s94A9Fpobvcx+IDu1hUa9K1ldPaOkrb3nGao87LV4PZ3JZ7012FE8pkOTvYWEgj2TdWo9OUozvBiQAz0jtNe7s03HPCaNAb3a5Ww9wDj2PIPgj7x5a2E8crs5OC24rbxFlla9ujzUOhJyRj33LjE93du6vR557DsffB06IvCRPKTgBj1JEQa8sC++usVPgT1+g869TodFPcHD/jwyieW8DeejPPH4rbsFp5c8GCYGunC9lzvTFlw8q0zSvExaoLwZYbY8C8maO9ibKL2Edz69tNZgvCTa37yxjYo8vgkWPVROd7yIDjk9TIp/vYF9cj10NYM7gBbWPJHybbzEJym9CEyfu/yWlbyYqAA9PMt/uwAyejWEM 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 lYU8wVM9vUxBtDw5Su49ygqsPd335Lu5lHG7J4e2Orj60zyeJAW67DV+PJ/TGbw+4aw9GFxavciPebq+Yxc9VjpHvGuy9LziPJI9wWdzvaS7R7wtOPS99YoJvK6RqbxOhd49/aFcvGNexL0RdmY8TmaVvTuoUb1vjf08TNesPVUldr1jSt691vWKPQanhT2/8qE9cmZsvcN6SD1JGmG9azUZPave9zy+Cki99oTKPLMSwLxa5Tq9VBy5PT6BFz1rxzm92GvBvIRxhj1dEkM9RFHlPbvOCz2ZlzI9pTPqvMBQO70+y5Y7STQgvNmtPj2BJei7Xr09PWs/Zz0cIGq9897kvAf6gz1wqkE9NC5nvbTr6rz8OE684MljvDCbbbwV7yQ8D8vrPN2IWb2A0og9vnnqva35iT1CdsQ9ZE2mvHFaT71JrYs9AYP/PP4vXD3fIlY9ytOVvdyn4rz3FdK94O5RvRwxhjyT/ru7E88zPUEYWb10qBG8smdFPY4YM71Oyt69lDDRM 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 PSzIs71tS+M70uprPYAU+7w3/yQ9SRA3PUJnLj1yKxm9GrAWvZmTxTz13GY8uLMTPUWmQT3Flr07fhkrvSIjgj2Ezo88iO1NvdJxFT0w+Ao90qErPDXLRjwm3Zq9IS6Yu4IJXLxOd2o9On1bPZ07Y73hJ+W840uYvaAX9zxMXw26Nbn8vPUTsD3x0Xo79aOgPA3b97znize9YooDvBW+Ob2Qu/q8ow9PPQMD4TsdsoA8BAFYvY10jLgdIpE8KHGAPUGqWzzZ0bM8/yFuPSAqnLzI5mK9DnmCPZahuj1AtYE8BOdjPEm2pDwjJiu7OWyjPV7VJbwvVYq9zETfvfN1D72RHEO7fdaRvWrpzj3T60O8yUfeva0hjz3VPc88A6FtPdUpWr1oQMA9b9KuPQTKhDwc9YG7xJ4xvd13Fz0U20y9Tf2RvQhN+7v4Tbo9UGB5vJN0db23AtG72qlbPRXkD72qd/c78Sz3PB/m/buBUYc9aGr1vbEEZr0w0t88SkbZO+jVpTyiM 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 vc5FQz0S/2U7z2UKvXje1r2mKBg+9SbhPNAcn70u+KS8Cw7LvNFQu70QK9+8/vzZuyx8DL6rGjC9CJOEvTUk37vphg29vLXovfpUq70Hx529eCs8PcdCDT6a1xu+n7q1PRLo3j2rZSQ8eH77vRLk97zp4Ls9VQMBPiHBbzyLVZe9WVVhPSHkzzxQbQ49wl6SvYdcoTwfa8s9maOZvWk8Ozy53w8+U+O2PM8rJLyjhee8fbhMPf4f1zxUGYW9jg4MvvNrbTyCSbS9q1tAPdN3rr1hVR89paTZPbYks71rTpi8eHKkPJVoxbzxeqI7h3+5PL3ym73O4Hu8sv7ovCo5rbz8R+u8DgY5vdSCnDwoFri8bE6WvWal0z00MRs8MnNBvSUejD1R3re8pRv/vECPGL0fdgU+Hkd0PU/rlT1vWtG9I6j1Ox0jZT2sOgQ8557TPRVk6b29GJY9DxyOPXKD77ttqqA9omGPul8P3T1D3R29DrQDOnu9Gz6hLay8l1gIvg2chT0sM 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 2aW9bcp0vFii872o9AE9Rh5tPUNnl71SLKm8fLkpu8eAUzwH/ys9WRXwvHqjz71Mkr099nNgPLQKNDwuSg89gmq/Oxx3Ej21zia9G2JavfJVPD0oJ7G92t8nvJFeH7wWfsE8pfwuvUBKlDzAvWe9/rOWPKFL2DwutQo8igYbPDA4i7wWatc8PLtsvSyE0L1FB3k8mrWYu3QPgL0mHVe8WhCnuyaIrj2FcNc86hrGvWDzf72Mwxm9ag4nulaKDT27K4s8XzshvXXyL7r8qcg8NLuvu2aNkTy8ZKC9Ix3pPY5r8rxNP4E9HC1XPebVBr7s8Y28n1NEvDMLyDwgQlW9FA03PdElmL2ufh08aGKEvMrHCL1Gp1y8M0KbO++YFj6t8am9Amz4O8V+Cz1ts5S9/NqFvWJWJb2ot789+VnmPFuYF7xiUPI8c1KoPbJnczz4Qqm9DhBOObmj0jtUo2g938mEPN6YBz5xX0K96atmPHDf/D3ih0w9D5frvWhIWD0q1a47mSj1M 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 PVB63z3RDHA8jkOFPkR/n74RN5K8qtRwPlQAgbzFqjO8IHwYPa2BdT6VOju95cJPPq18NT7B3+E9EDYbvSoLibtc8MI97BruuriYdD5uXnC+4VSUvWSSKT5tKQU7ToChvCuWkj3wUV4+CsKivEMO9D3o/jQ+xPfaPY+Cg73UVTu7HKgePcLjMj2qqbI9E5T6vXVHmjztmHk90V5Qvdl1Pr6kuIq9A2eQO66k17sYPvU8gHEOvZ+Hjz2EHnc8TlmKvcgjqz3WQ4u7xvg4PgjVtLyT/wq816WfPWWlyz2dAxO9g1rdPc78NjvNRHo94QWYvdaCrj3CBuM8tkDNPYDruD1UaL29/LsrPWFfvLrw4AK+/8NavbZymj3CB5g93ZbwuxF9CT0l+xU9IpT5PIwswLsLGuA9msPIPWTiWD1+2bI9IbhFvcLR6z0mu9G9kjLXu/Ef/z33xhM9s5xiPa8iGz338YK9Xnh4vADTpDxtdqw957I6vPvQsz2xlxe9F/b6O/FquLyjM 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 PScvYLzOHQm9xocjvX9Glr05SYQ8EzvAvV1pgb0MJCK9KC4+PfNqBr3zygI9Xpjru/8pRbxXVro8Q9bzvHsEFz0IUpW92DxdPeUX0ztHBTE8ztVyvRybRr02SU+9mjqBPHXGqj10voy9G0jxvNMu4TxHnF29zcOou8Gw/T1zfI49EdApvWnzLzs2R2y9IntYPJE3h7tacfK8GOYUvpYvEr1gmhw87RpEvBwiFb2AOpw70PG2PCIo1LyWoC49EODvPFfnob1kPJS6c/WBPKUf1Lw7KmO9RUivvLxSD70HyeU7z/jDvAwPXj26QtC84GK0PcAahD3T/u0849z0vJ7+JzzWYnk9IjwDPeSiVD28LSi9qYyoPEuqvb0Tx8C8DNUKPYfIVryAd8E8+f2KPES8nT1+8Hc8U9q6vDvFMT1miwG99/l3vA3VmjnuYzq6EZmkPMIjnj2cUoC9WQBePBPFSj33Ema8EApDvRfO2jtvK7M89/hBPf3XRL1o5V28kcMBuy/qBbyoM 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 vYOZwrzqUkw8z+FGPDsTmz3dFwY8kajpvHVcobxp3fw81uQGvZQ5Krzl89u7KvphPZ4m/DyU9za9XDRzPDNG7TwXKzM9tJBVva7G5LzHllu7YH27vEDDHb1h3NW9JtKSPQciSr2b/7O8CZjWPWUkzbwBRAo9ENNWPX/MjL1aBUy9pljlvGxM+DlTbiq87sFqurij97wnNna9M8tIvXfyEj20AqG9Qppwu23ukzxwuRQ8n+ZMveuHu70kn+m7/RQou53w9ztc5YK8hqLqPJ0Ahj2GEpE7tr/JPHaIpbz7rOU8SzxQPDcBQbxJ9fo75dd8PLI7rTvqlQQ9DdG3Pb9X8Lul22w80xQMveX1CD1QI4o92EZTvLOp5jw8HBo7e3MXvHEuaDt1Q7K82NiKPb3PzTzOTx09PyiUPZmIfL2dnRQ9xumxuza+Gz0RQx09TdGAPY7IOjmDjTe9TCwdvDLwajw4Gn476eKwPXNxlL2hUuk8+qhAvXrzFDxgMgE9gElvvQIGCL19M 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 A0S9mugIvn1iOr2d/IG9pg0IvbVPuj3mXYy9W3uoveNHlj29+8U8k+nqvcolYz2QSke91P4hPpXN4bwPbHS9UzqyPIbrSr65SbC8uFSavTrBLj0pVz49c2KkOhN3rr2uBs89hByQvCI/Tb1saSs9l8gWPWmMzj0GzlW9SCinvWGpmz2bJzG+XzSlvZ5jGLySyA8+wl8eOx42NLtUDJ+6K4UJPd68j73tTpG9AF2IPaZKwTwvpM08dhYoOhEykT3NshW9WMCRvHsO6j0QQGY9CgWzvWEiortVoJ886seJvRhSIbxYEQ09E70ePelhzDyvzt08vjYnPc+ngr3GA1488XhkPGQW370z+p49ALXCPLZ4gDzkUHS9lDldvafDzrwVEKU9UiH8utr6KD1RXAY874OkPRA9g7xgCxK9vvq6OlTXyj0pVn69e9nAvBt0zTwXKdM9TLJ6vZy9m7ygK129AWuNPeqiDT2K5yM89JeYvRZdXz0yAMa9yjcNPrHC2T3cHRq+vWCTM 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 vIeyaz1XIJq9dJ8mvbx+NT2isXe8jZyEPVBnxr0lR9C8AkYXPcVqRr0Y3Oc8q/WmvS1SAj0g1MU8DVSxPAwIZDwMMtU9REqUvR553btlskY9hZkdPAAcLryND4Y8gk0RPWk5gj2nRm48LVHRPbpgm72YNsU8C1ZDvVXRAD0uepy80zz2Pa3CxrzaNLK80e6uvSnz0zvRBq28+U1DPfPOUD2v3Is9R091PV4DYzxvmw69pEV2vdHEWL2hAVO9aSw8PcFxiD2X/JK9rflMO9eIEDubshO8do6XPSiNrby2Nt+8m/+LPSOLVb2IvdO7B+WEvBUJKz3d20a9mNTlvC1byzx6WJ491dZTvR/xY70yPEg9qUFNvW6pUjxocuU8En44vPz6pT0xRe48VSaDPS0Pj7zommw95IwmPeRDJ7vHh0i8Nu7sPdXC67yuPio9d4/PvI4RbD1ja2a8/yVcPeY1VTuA3TM9QCVGvGqAhTzYdaC8jyAEvQZeBL0DjVG9FnH5vPKizj39M 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 PXRXpTub6AQ9ozh/PBK/TjwS+r29Zil0vcuAGr0mPZ49sKp7OOuAxjzE3Ai9CIOJuxDOGD0RTh69m4qYPTZUsryw+0A9PXJFPeoWlTwEmLo94Si8PKeWg7w2GzU9Xe4HPNZ0YL2SSA69+N2APLcGijtYZFE9tnS0vTFt0zwf7Cc9cpkZvdsE5DzyVIS9f7MGPQPt2DyFRbS6aXwMvb6t1r2uLK09qTFtPNg+FjsXtta8z43hPYlRcr1PKSy9mnjfPbRa37zgb0I9/ZkKvQqSoj3Rxcm8EGb4Oz4oVz3nnVm98CFWPcN9ybzx5Xy8w6k6O+LKbz1MGYm9QBlfPYMXtz3Ocsk9IzejPRoYnb3z1509zToWPays1bymfJA9rvCDvZDCrD1jfcm9exKIvRIpLL3JbZk8zh0/vp5ZHr4hLq29KA64O3TkAD7edKu9taJ8vUYqjD3cjuo9m0GrvZEPJL19QAI9kSCZPeLv5LwRNwy91De1PcEWLr7r3+a9iEW0vMsX6D0RM 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 PWpUNjyvLJK95Lb5PBOIorzQ10K9yoq1vDZdMD42Cnk939EvPeayfz3eczS9jEHtPASiDb73EV493R7WuwCytz0Bs4E9cHvqveli1z0EMDG+Eg5YPWMURD3VGbQ9+6ByOllLNL0rJSC9lKwqO7jY6TyfJS88oa0jvnRbIL3h2GU9GWzbvEozczxNmFc9HWPTvL3wjbw7/kG9xIHVPWH4zbwbItg8BSpjvWDXDL3WcQE9L7jIvP/Sib2TFyq9v4awPYiPIz0PhDW8Vc8FPWclWb384nO9m/GkvXe3IT7WOdk9Di1xvPCqZz0LJcs5f/UpPeSBlr0mdZ28t9itPCaZ4j2Lkao9DF7BvSdejz0OpSy+ylxDveyQTj25ByI93hXqPBS4Y70z+WK9TRMZPO+/Yr3QVXI9nBZgvRdXvbyeqSQ9pUzxO1y33TzRdIE919+tPXQxor148gi90siGPQiT6T1ZFbW87ptUvfkufz28C5u9iYMrvVth8zwhPku8sFblPGCS77o+M 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 WXU8UpjPvYq7gj3Pq7S9Fic7PY7BjL19uxq9bOlbviEEib1eRqO8u+1zvE5Q1j1/eFa9Md/vvanNp7zzcqw9uJwfvfPqSLwXIp45CRIPPbJUmLzgIJq9SspTvFOESL46FaO989Z8vT2yjT3jkNy6Zjt8vYblwb0lSbA8NigwuwsRAr6eyR09z3z+PcAD5T3YowS9g0CTva5a7Lz4bTO+QrZKvfndIL2dIPc9ZV5evLd8b71yjMq9xXt8PU5+hb3/H/C9cb6YPGs62Dz2q3c93pWQPWym7TzU4K69bH4evZ2fej3ksR09fKPJvQB3ar0xRWG904WwvWo0iD2+cgY7agOzPFilYbteUCI+vgMVPc0i9LwxkZ473FWyvN/q9b2w5Q89V2tkuxl0xrjmv4+9rfgvPSvQCr3y0do9/e9ovElgCDxyzoq8XWBJPuS5yz1FYwS9SvcBvJF0sD1KR6y9I12KO61+KLxNn589odWMuvKaqbzC7Pa9BMzJPYD0BL0pBq0822adM 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 PVjaS7zPVaK91duCvdP8cDwGrTQ92idxvbNlybxVU3G9aqZrPeNd37xzxQK+Q72EPRLoyjxcnn28o8rZvaFl9T1Zx6w8rERwvSGnVj2+2Qk96cEmPdu6rbwV7j295kYcvajCF7ysq049Ve/evciuFD0EuOw89WyTvSH7fr2zV989PxIgvY6pG71yfUQ9nkd/PYZV6LwFNY29769/PVA4zjxCITO9uI3JPDPzS71WSgC906hBPURHJT291929btY6PrwBVD0vA3k68X7mvZbUQD3t+Bu9owxkPdTjLr2sURg90B+IPVurlb37mQe+8u0bPLOdEz6hhoY7AdqMvXMIgD5v9mk9INyoPDop1DrhQtI9WydNvRWbKT12NzY6jRrnvEhOkz3foce9PSITvtmgmb04JMM9wuhDvXVyvr11uiA+F5JQPWdyLzyIVk09ABMWPbmupbyg7d88uzURvb3wj7x9RU07m+PNvaYl1L1VF9m9+kVUPO0yp70koGU8WElwPXboNr27M bs07nQOWPYYEdLyL0dC8qbZAPZ4WDzsaggM9xJNGvDIoV71PW9e971nuPSAJIb0PkbS9FhyivbxDwT2UbVy6GNImPdlOjz1jmBA9LyeFvcJEpz0fmMc8TakMPXtNwrychJm9w+3ovR3uhD3TvSY8rHw/vSMmOL3F9Q4+Q4/aPEyjFb3e44o9yP3YPF7opb2JqFw9OgIDPdMxqzxOn3U9PSSDvc3MCL0kVKe9RqYLvMBk+DxhKL28+TfqPSMixz2Vnlo8anw2ve/Ter0KcSU8ApJ/PDJ/DbvAxtC7k8gRPQTKtL3AICC9pYMhvZhNTD32YzM8RCq9vB6Ezj0E74Q8cuvcPGwkJryxGpq8cz4LPbD2oz1WUgu9CgEau4WBoD2w2pC9NQChPbbaJzxaS6i8TWEBvBWjRD2eUZU9YlH3Pdpxcz2Drr08gocwvZo5mLyrQgy9PZOCvIx15Lzy7FA9chNWvfridj1gTBm9KDeUvfE3i7sy9DK9C53jvJYUPT3Sgky8ZkxaM 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 x5G9YVWOvSwn1Tz/b1m8OzjKvKn1BD1Jc4W9RfRgPPqy9DwEeCS86AKXvBh0OD3WZ8K9JUr0PaURMrwvejC9EbV3vbEFm705KQ29m8mkvO2I7jygo4U8EPaavabhz7s6/v88iQ9kPF2FiL10KCY9a6OnvbXN5D2nEEe9LTFPPP41cL2LXIC90wddPdw9u7tXJMC9zUWoOx8ZdDwoHjK83C2FvDiWKLyHKAe8TfyaPab1tbt2uwK96qwbPBPvTj3D2PG9Nn8hPZksnD1vqBC9DXYVvA59iLw6jwi9gyeUPTj7wbokCdc7PhyAPAT/trgel4S9gtmlPGJHFL2ehzA8D5bZvf6cO70xpgW8dv8FvWdyFT2KHag8ZFQtPe2K+LxkC4+8zAwqPTgAr7rVQRs8U6cGva5uLjv/Wja9H4mjPFaWvL3+GyK8p0IlPZWsvDvCrJa9ZL9KvdQoRz047E49O8yYvfroJz0i6xs9bEaoPSYB0Dw+4ii9hef/PPLlij1cpMQ8ISDyM 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 bai9n31HPVzJ5rtxMi4+V4d/PbjAxLwmx+y8/ueJvSEZhb2xj6U7ppo5PfAS+zyxTY69KLKFOq9wdDwWYfc8Fd6NvdbhaD23lCO9fNL7PeXGTb3oQ129Dchfu9NRD70Rtf28olMIvKCBlz2X6II9nRBHvUInTz3LsJU99cdQvWTR5L3GJjG8XglqvSlSGj2LWmi9FCROPDbo7by9Qjk9JHkYO06QtDySqY27sDqNvY8gu7wgTKg2XOYwOzqksrzsgBS90edQvWGzJTxDIkM9o1AyPQ8WfD26c0a9e5uQvXS6ELzsVRo6+XHjvB0MST0w0tu8AxGqPMZFe70Y55o8PGyvvbrBCTxckZ698gwdPQjJLL17tDe9aB3FvT8wNrvx81C7dplRPKAhLT3XdaC8/j9Mvax7irxb+hY9QpX1vEBXSb1DqwM9A7PUvGfs2z1/0YS8yLAdPOyj+bz59su892OVPRMkDL2Ls4m9zYmgvXVWhbzRFA69eE+evfKAkry7Ana8JqKjM 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 PD/CGzx6C4S9cVipPfTzKD59rS69lfrjPPHGPj2ETxO9ILi6vQ/fLj3yLtY8xluuPWDLWD3e6dW9I0BJvVvd5jv0KFi9A2DtvZXMdj1rCrQ9WWh3PF9CiD0eY+c9OBYBPRPMvLx8k7I8ZqeOPYJLhT1ev6w9wHrhvffYxrxQ+Q6+rI6TvZ1lA71bsyE8ziUwPjzhXLujj3M8TY3bvQ4Nbzu/r/m8F9XFPaULyTpdtNc9JR3ZO3trBL7SpDu9D3dBPZPAe71Zsly94IOBPRSeMz5oj5s81zXpvIiOlz30Gmi9xSO3vS7tHj0IKVi8ICyAPUpehD15EIG9o5kcOzR6Lr353Ju9eqClvXyZmD3q29Q95RQ0PZgg9TtGIOE9fDy7Ob0Nlb1s/Ks6yCcZPYmTM7tdcEC8v5Osvd/yZL3GRF691P7ivSh6vrohDRw861cNPuxKQj2TnVe9iaiYvUTWBb3E3pW6OBXTPbYbHL0EOrM88d0Pvd4mhjp7F9S86WWePa8zx73wM 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 vI29CBALPXTlBDxv/2M9lfhvvR9yXr2GjOK8txSNPT6Qnjt4Oo68xTmVPBmqiD23Dwa9WYN0PB47oT1Yfh48izkvvaqWQr2DFFs9L5OKPVHQwL2XE5S8ag0Ju37k9Dx0r5i9E9aBvD25mT3LGkk9N0reO1xxmb36C948S2Atu1givr17ZZS8OjV6vbQI3TzwegC+HOmwPOSf/Tzmwpw9vGxSPWrZ6Lz70Ac9IiOJvVa9DL3KKrc8WotyPVK7Eb3CR1q9IkM/PbPRPb1Yo0c9Uwenva3zYj3a0448dv8DPuYvez3Hz4C9wYOMPWJkA72TwFe9NALDvMHGrD3hcTY9UD32vGjrDz0oAjI9jJ+vPeyFh72eXz895j2MvdBubD0S6ha9xMyzvXMHjz3j1pI8xI9KvYW+LT3N1Qe9UoM8PWdqTr3Wqji9ddWTvIN+Xj3OSMq7GPF6vJ3VnD34YaA9w0G6PVONeTtnc/w84UXPvfvz1700dgk9IJeTPXEYhbxgaqs8LjM0M 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 Ftg77FaLPbPAgj1rnsG9at2ZvEQOzz3lJoo9wa2GvbbROrxq0Vo9a9qZvdRXwLvVt309E9g1PatWRbsTAwA8Lq40PeFixzxkxKs9i5m+vZn6or2PCZc5OCCdO0Ia4b1Y4lc8vCaXPMDd8LzJ7fG9GwPRvOWepT2sALM9JZJXvAQZEzwK5gG9nTLRvAA2iLwxBnu9YTOyOjUICDwB3Km9eXHbPY6VlTyqOsm9P9AfvRTM/boiK828uhciPWOKA70x1Vu9UtJcvA2xGrw/b+O9YTmMvRi0kT3qUtu8mFipvUEcpz0Ubv88y9ZCvb0OkTxgUIQ9dUJjPKYJYjwJ1UC9w82cPKrUd7wC50490fIEvOt5eL0OF048dJsTvZDzYL0J32q8n5cpvfjk2Dx1BL+9Vwa3PB300jwANYM9rQvOPPDf5TwfF/a7js5qvUiN07voQe68vU6ePG1pa73gJGO9tXaAO/sw+byUZQO9VEE8vTJFqDuHlqu9Rh6yPScrdjtpbom8AjkwM 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 9le9mn0quk0MeD2g8MM8psdlPJRzjb2YMWc97jocPVZ8Bb1Vd5I9TQW1vSesej2xoQi+mSIrvCiDnT0cqbA8dkJsPS9eaDxofag8m12gvWeHQr0i0XA9wLvCPG4sTT0EUoY7lswoPLDVhr2cJWo9O74dPXVs9jykTli9zK7oPCIRQDtK8/S8ALmpOyzYYz2Zr5m9o9RcPWOgdT3bGYO7n3UnvSjeg7smDoq9LZtfPdl4BTumID49PnUivQ7nKD3rux89rc1SPV/fhD1dpPQ9OLthvGo8Frw34ZA9YWJHPbxM1zyAf549RHGkvXWbtj2RlxO+LwF/O7YfBj2c4Um9Y4zjPYZpgT1w39E7SkecvcH4trqikJ085t+QOi6vbj2WSBW9yxckPZxMgr0VIT09+6hxPXg82DxGL4+8w2hyPKGtqz2CsBw9DZbYvNLMMb2PJMm8gaXhPGL3tbzKmjo9QLw/vFXZhD0OTUG9t8R3PVtCBzzIEIa8Q0arvFoLQj0LNd08Rn6FM 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 q4I7o3uOvC9zB72RsAw96FK8vBtVZ73FrT29xMZEPITZoTy1nTM9QhSgPfihsTwFOkG9ewcQvY6Hlr1UH5w85RIqPZYzV73GniA74Aj8PPljlbziRTK9QWD4uyF9nrze/Oa8GHN+PaD1nj0Mu127BH+ruzWKujyNXrC9HXkWvXSaMT3T2LK85idovfURHTzARfO7MthyvUCMCLx+K2M9q8sbvY5xnDy0Heo7EJAYPYMPXzxnU649HVKyvKqmhL3AlIc8RXKkvXlsCb62Zbg8CPT2vHd8aLz15J29XcEUvZZubj2u+LA9DoPBvOsVNDxtRqW9wFLMvQPtAD2Jp5S6sqXLPOGsVbw8Fvi9gE+HPbZCirzxWpc8fV2DvIIqS7wq4+O8t2/bPeemvTupQAi9cMHvvIyKvTyX1l+94GsLu4XKezwpexO9HersvJB+arw7HEc9nHRUve5w973eLi499UTaOVSnwz0mj3W7wIERvXozl70i7ms9HahsPDlHezsvWA69ZFxLM 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 vXZ8MjzrSA88sKIuvZhXHb0/McI8VtEGvdXtp7ypSQE9h+S3PE6ywz3ePkk9T7+9vbnIvL0z7ro8AXTKPEIZlr3Uvdw9HtBqvIHcBr4/T/o66lqnPMptkby+pB+956vDvNXILz0v30E9Ip2EvdrZmrxvuxK9QfFEvbiHQDxwQZ89dl73PfGMZb3xO769843IvCGRf7yhMZe9dlttveLoFb1YdzK70IwIPXblej15g1W9CsUFvN4tlD3w87I8RpQSvhw9qTxkfg69OyBfvB1F8bwF0xE8nPC2vPGi+jyNM5u8R8AfPaN1Cz1ALCe79O1dvdTZh72Cigm8Uik/vRyJEr3lQeI8i6vOvI8snr0DT8272xI7vUMalL2nP2w9TWLZvHpxlbwGV1o9T1YCvErd+bw+/5S9y0PKPLgasjypml49wLw6PbBh6LwULzE88hFHPfBGU7wCW7e7O8ZPvWzBRb2iz4C8MafZPGguIDynDc68+b1AvTpuuDzc4+q8V4DHvcw7FL2qM 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 vZSI1j2hcaG8z4jRvJwAo7jFGAk9CdXovZWtlj0z1AK9nRX4PBMpaj1F0qY9kFl2uymkuTwtNu07eS3uvBO9wr1XIwk+4eLkOy3EDTwyk1w86gNOPYEQAr4qSH48EGDlvdn2EjzKN5E8qpGTPR4yTT2G54y7XTWnO8yZwDn0G2q9ktzEPQpMpr1EeVw8udPMPFqA5LxedZa9JxljvYIKFrxFdtO8HauoPW87tzypiKc9UqKHPSPw0Txj/ZO8GnN5PNjjzz0yFxS9pyTEvbgw5DzbOza9fZG8vT3XaTxiHn+9Cfa4vFwYibup4tU8uPMEvX5NMj0vCm88L00YvcRsQb21lwE+eqUYvdvP8L3P2iq7I9NGu8sSmL27IbI8BBwEvVU0qTwUt/a7FZPiPTBamLvO7DQ9BrrfvdAyUT0SIYO9SOEIPlWoPb2I7I28ndIAPQj+br145768sJBBvEK7gLz4vYo9HS9HvZxovT0GB5Y8rJwcvmFpBT4nGCk+HEuEvsES8L3GM 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 /ey+aD6YO5tiVj498d883wnNvtpY8b5T/Je+/9iFPiostj5Erm89BJHCvauxKr6xt5G9kH6Uvt1Ywz5wx2a9EWeOvutg+L4pPf29JzGdPu573z4yNoq9/N1nvqtIvb63QLU+IN0Evajjnb624se+MkDIPhOtE7+A0cY91de3vqSHRL7NmpA8lqE7P0lABr8uAW0+9CmbPlT+t71TEM89oI3ivXfRMb4mhig/ulJbPnOi8b1UcJa+l46hPnop6Lw2S5U+YcnAvRDwnL50q98+4OOfvolqnT4/UwA/xNdlPrZ9aL43xKE+12Npvb+PkT7qhZK+U4KnPtePbL51/XQ+JsaovtIXiD5l7sk+7WetO/91Nj91XAG/0IqYPbQeAD1xSle8s9QHP+jGZL7o76a+4CncPGduPD6mm1a9mh1QPgAAAAB6k0Y+cDX1vUzeDT+l6+++ksetvSEbYL5LmK++YLJePhKByL42JLS+D1gMPyJFnz536K49HYayPoMV4L1ro6c+fALCM 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 0vS+PuMMP//Jg77YR3O9w3rxvm5h8z5z4Km+YjDKvr2KDj+MXwY9tMjyvif1R79gseW+tZIKv1vTsz/Pbws8MPLSPgMO0z58V1e84lqcPZruGD8XFOM+RgsAvw2jFT/kTGQ+8258PoFyKL/jzSk/hBq1vhBkvz47i+6+lV/Evcw6or4HDDq/+C0oPxgM0T4rKU69FQ0DvUnbyr5vkr8+BdFYvJ2vxb4XtBq/55OLvqGquT6GwiQ/mLokPr8tkb5+UIy+jZ+mvgnMDj8=", "training_traits": {"structure_gen": "Zigzag", "n_layers": 5, "max_nodes": 16, "activation_func": "ReLU", "epoch_num": 4}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t)M {const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())M /31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(nM ,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.aM ge,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.M size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(thisM .angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cM os(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight)M ,random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(M o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250M ),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),M e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),eM .bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVeM rtex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,2M 21.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,M 21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.M bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.M bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,10M 3.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5M ,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129M .1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,30M 5.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,1M 26.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.69M 9,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.veM rtex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.M 199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertM ex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9M ,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3M ,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3M ),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.M bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,1M 25.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431M .1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVeM rtex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.M vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194M .8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVerM tex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,3M 56.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.49M 9,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.2M 99,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVeM rtex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVerM tex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.M 7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(3M 77.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=M >e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(eM -n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.pM ush([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relM u);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){M const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dM im=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[M e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}gM etNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.confiM g.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){cM onst t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&M "fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){iM f(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=rM +"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e)M ;for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,tM his),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!M ==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChilM d(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:M "text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=fM unction(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjeM ctURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="157";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rM t,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createM Graphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAgM e(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#M 795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2M ","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,uM n=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.M loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryBuM tton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||saM ve4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),ztM .value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*M le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,aM n=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),dM e=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+M i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,M .8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wM t.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2M ,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=M e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?AeM *=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.lengtM h;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(BeM ,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.M background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.recM tMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(M ),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=CeM [e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(M e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25M *le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost cM ertain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),UeM .textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMALM ),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your PerceptronM to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*lM e),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=M 0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"M ';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAM ME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRM ON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,6M 00*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,heM ight/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,heiM ght/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#M ","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,rM ,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resiM zeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[tM ];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimeM s. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in M the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mrM (e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],RM r=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFM ill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life CM ycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b44d17bc9b2a241","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> text/plain;charset=utf-8 "name": "knightdao.sats", text/plain;charset=utf-8 Mined by AntPool961u xxxxxxxxxxxxxxxxxxxxxxx FjDOUT:011AF6CC6B1BC2AE96A4A8B893D2F77E281A990228D32934BF26CD895ED38F8A text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! $_zTXtRaw profile type exif (((((((((((((((((((((((((((((((((((((((((((((((((( text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_368", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 11, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "OUthvT//4bxKYU48y4onvT4GVTzLiMs8cA+YuzK9Gz3+Nhm9uwWBPQPGQDxmYl26HNivvMiQCT19cfA8Vx4bPWXzHb3j9gK9+JPBvNOGoLy3zmC9VfSvPNAEhD3CK3w7vSAzvNaQxrvyZg69qJ+pu1rUq7zZ8FM9rYeavajn1rhMCq+8T5KSvbFkXbxv/9k8B4AzvdZy7TzlxJY88MxoueqOQjyUD0m9SfMnPUvzpjvMHY29RGWFvN5vmjx1vqY9/BMXvVIIVTxUmj+8fzd8PaSM3TxZQ5C9e4cKM 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 PWhZXLyCGYY8ZhQqPYe9hj2zYT09HytNPeuN2zxX0ke93RasvGUELT2ROA2+w8kcOhFhkT31S4C9MLdAvFELXb0Ry3+8KAiIPMOsOjykTFM8KbfsuxIXijzWHDi9KuhkvZJa5ry76sW8xh43PR+IBDuMIZE8OkiKPX28sby3yB+9HqUGPeW3Qr2ykbq84icIugBv6DvIHYs8jH8APeGWFr0xT6Q8TpQCPcurMj3SsoK9WA+mPGea7D2Ki4C9aAdNPBrgijvM1Ag9ROOAvNGotzwGhN46iNnBvHyxvLxLjIg8/EDSvMD+gz1zwTk9gIbeOciqxzwW4jc9QxT7O6QmhTwRBFA9P1u3PaGqOT3iKtK8XYytvCd/JbsvSk09zoaUPYAjgjwV3lu9cpiovNH0Sb1FoMm9LAmnvO0hgD1exeo8A7clPRgihL2KG/A83PEfPHWemjvWula7RyLdu0QOxjg3un48Ga/VO7KDgrsIUP28ENo8vXCyAL2o/mO7huQYOkkkeT0bM 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 vaMJkD2gbGg99qN8vc7+Ij0EAwO9WK3+vNBJOL2WaVK9qqRwPehJuTsh4Wa8+m0AvXM+iTwVLzK91vqQPOzUIb2FPAS9KL9fvRSvDL0gC6o9JxscPXh+7jvmT0I9xKBFvd3u4zzfMpW8uekPPYx+mz0zk9M8yMqguxQy/ztwPtA8cVcKPak0i7u07ZW8YRIdvVHD0zwlpuU7bzEpvYeSPj0OWdc8qJwpvIfbXr1N1je6Rik6PCqcUT2jNBy811O9PYTZg7zqhku98uOrvB9nMz0wMbk9sUcCPRuDjrwFkI+8DUwRvTepdDslX/+8Z27LPN9ykD2h5Cm8QM6mvDZ2CLwUOJO8oXCcugIvO72tcJO8itTvvO/9Ebz2omc8rxU0vfCGYr0zi9g8/hICvQVGqLxVHSW9ZopHPZfb3zzm/hU8Tfi2PcllljxLgtM8rdH2POBpybzhsMI8gKsOvfiPijwlO2a9CqKEPKEvcT04wqS80QibvO/InD3QHC09JCgwvZxYPj0EM 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 rBq9JI7VPMzsarsjeAK7ZkHMPCGfjD0aNv+8gkFdPUw4gT0muIY8FfAUPTz/RT0RQ9w9U1S4u86WIL2wIou8ilH0POinFjyMfEG950tePP/B5j0jZYm9TnsNvezpNbvK6Js9nMEKvfPXBj2SkVA902JIvdmZTL2NuBa9NsCTO5flJjwmLFQ9TryWvAloYrzSWyS7KfuyuzHbkTz0qc+7pmWgPZwWPDtYvoC9rjoGPKDYBD1vbQo9vO6APB3Z9Dzj6GQ8o2FvvNkYCj0nj3a9gejCPDgnhD0eEaK7FSsTvQKygLz243i8NMskvWPZObxXGlA9z1MPPb7VYjyeSA89wh6lvDx1wjznnoO8mxBhvAnsQLx+Pfe8zuCfPcx/GLySRWC8LM+VPdTEMLxMqb48sR5AvAmo3Dx7Fe05EMZPvAjvtDwjRH2877gEPaFeYj1FohC+P+F2PTHoAz06V607nhGaPAQy8bu4Tio7XgIwvVn0FD21FmU8ODwpPQWKHzw1VKI80xfyM 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 PT+MlDzyVnG9RZ99u9U3JD0sVxY9MslKPb3VxTzC+bo8W2UhPdzUMDywaQW+8gwFPSYf4D1OLBq9a5OLPeF1F7014r49Yj+8vDskAT3OXJe72NS0POgKIzz3zis9zHZQPJ74iDvqhz09c1utumD3CzxC85I8GEgPvQShljy7zxk91aXOPcRrr7xXNI69FedXPWs6hz30YZQ84qM4PWgNaTw5o7K7JajVubAXU7x29OC9yl8gPbrXyT15bPu8YSLGvK8xhL3ENJc9oOa1OmuLCr3XfIA9hYHCvFbxSbyxJBA9vu9qvZiUDT1H51G8pplEvScolD3UIqc8IlHfOshGoz3mFEy9ehqFPW6xdT1iRmU8HHf6PFkLszwc6IM8yQ0lPf6kpDzOyJG9bA1yPYM+vzxONwW+hvZIPfIZKz3avqE70R9jvJQWWrzMlyU96hk9vE9jpTwO8Lc9rlcivc5PbDv/nP68g1souiOGPD0xUKi8ESRSuiSeoz1H4fs8Zx4cPV6goj1LM 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 PdKqoTw+DDM9lFMevVwdCDzoODO8X0TNu3w0ozh5cMy8UAIxvRI09DyflSw9vU8hPV0k47yfQ8295Jz2PGNOqLyerf+7bSKTvQRP87yfpu08ctB/PZamE7z5bnA8oMNMvIyhN70Awco7RmVZPBotwTzBV369r/i9PE6jgzyx3Is92TAgPUZ2NjxO1U09wkwBvW0SiDrqcTi9HasFvbNIIDyZKDQ89gZavCj1zD2SRcE7aTD7PHrLozykkAc8CqOEu0nYiDx8ro891afFvZtFY70PXQq7dB6fPLVDHr0zyEI9TduCvCmYCT3mvIW61GEGPWTItbvgO4W9lPEuvcKQc71VcBc9UTDvu97ufD0eebC8Y2U8veInNjxnht69ToMju5FfrDz4XYe4RNGcvGrBJz1OBoC9nUCFvE9eNjwvjSA9xP2qPXbeML1KGT49aiCrvaGeab1ZrSe9HWBuvD9TXj0P2Kc8l650PVyqrD2iNso8fkfdvNjyljs8d5u9lgwHvNlN9TuuM 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 OijVJL2G0Y49T11NvdWOFD2JjpO98AXQNob+PL1FYtQ8HaB8PaoOTL2JPBQ9TUuHPHW7SD2CpQC9je4fPEWchzzZs/k8qxGtvWJjIbycawg9tyOxvWkuCLwNcMe6ZQ2yPQPDgT1inb08Ib6TvWoHJDsdPFO9Oiy7uyvnxzsNPX68TRAOPdFiUTw5Lno9+TyKvT63Sz0L3ZQ8ZlDOPFRWAL1XWhi9nUmcPb03Ar0aKW89iRiKPffbwDqNjfU7QqAOvBX+17vtOSS9Nhjlveb9hr2BuJG4iFULvIaSz7n5KFS8XS+qOwa2sD1/EYW7USkJPKj7JL3gJj299VATvdalvLndG4G8FeEqOxAXgDxUTd+8yflGvTK5ATwNFxk96FCiO0cC6rzNo8i8dT4gvKOwtzyyG2092fcXPW8Qjj1hFxi9jsOuvPuUJ7xKnLY9xbYqPYDhgr3Jz0O9+fgpPYRgEz0YV3G8LOS0PGVA4z00pKq8Q3hLPHkaC7030Gg6RpKiPFWpFjyjM 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 JxM9ab5oPI7pkL07ZKE7XPOCPbk2eb32zwg9R6yjvOvBiLtxoEm9m2kIPWETDz2bJXq9HKGGvLO2Fb3Ie64857vxvKOXoLxILVa9fKqtPbVQG71n3je8Z/obupGchzwdSRi+uAHjPCXK5j1ykZC8sLSAPfAAvb0TQZk8dcZ1vbZYjrxin4i9RBMguyv0sr0+l0K7Eu0xPSSART3ZcAU92e2PvTPJ3j3kf8q97Hh0Pb+Ybb3zCIU9c3f6vcG7trvnUSo9/IGHveUxHT16zTm9k5xEPQ0gsLwzHaI8ekBBPUMHgToQ4oW5X9kvPC5vQT0Gk2C9DcaAPRuV5b37m0+8laRXvY5tLj0vH6Y8QHFMPB9qTLtJDWC9sFq4PUhjhzxl0BM8DcfDvfwpUT1e+6K9Q8pZPZKevjyTI6G8ZMzfup6mkLz8hVQ8X241vYesJLvyYSw8HKxyvYzryL0WOAe9XU1tvD7FAL2FqIi8ubkavNzhPz0UW5o8LJYTvSJnWL0P8bU8ckOmM 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 Pc/PJ7yLIkU9x5eFvQEpBT0BwSg8elkBvSYSxrzlDqI92FwxvYs+bD3CKp095N5DPZOlGjvBEKs91+6BvchFDrtWWDi9nUqfPOJ/Y71vmpq9VZIJvRriST2LJ8I8uvwpPL3Skj1EnJu8G7NkvT0t/b1aCm09DMNHvDZVWzr0Tjk8y8JHPcVQUj32rqO97d8DPuXnhr31DKM6VoHUPOk/kr3Jd8Y9uVYqvNl0gDy1acM8orrWusX28jzP/x28yJFwvMEc3zy8W4K9+fXXPDFNL73oppK9ysWiPHmPFL0WDUQ9imAePTwCQT2NXs88UQAOvUq4Jb3DD2Y9UT3lvJ+C4DwW84+8l4y5vDq4qryq8TO9kp8mPFTCTL1MwAQ9+0ROPRlmAr6VSO48rur2u/wb+TyQIhI9rqmsuwSkCz24SqC7jv6cPOCXzr3PyjS9f6h5PCXY5LzIW+c8qbmVvLaARD2hyCc9CJWBu5bwbrz9I2y7ZRTZvblNhLwBYSu948X2PG+kObzpM 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 nDg9u4rKPJl177wEl8C8b8U1PRwGsLzXeTo84SpFPZrziTqMDZq8h52/vNlS6ryIRs688p6OvcP11Lzj6Jw8K1hhO4Vbjj1PP1K9Dcusupftqj3YOxs92IFCuhIOq70M3AO9IDcmvWtelT203jm87XOuPNodaL1D1cE7KqaCuxsrurzr71g7L8xbPb5zhzzP43w9wnGMPRIYbDzTnLe7nZiRPRutTruhXg69A/i0PBMtqDxcLzo9fxpuvD49SzxYC5W74eivPGJ7k7xth529PMwavMKinjz+qv+8diH0vONXgbwjMi28xAkbvTNlELzkEri7d8D+PEQ1hTwafJQ8Re4dvX8o1rvIl+a8ds47PW1H5jxwtne8agNcvSDXSTyD5dy8pUPOPYE3Hz3grRs7CxFLvRuUx7thsMQ9uB6hPZZazLx9R0M8Je6/PBh0rr3jBAO8vKSkPPKG0D3Dfu67EEplPbJFQT3oIr08pLdEvD6Y67v7mCY6PsFkvb2d/jx6YB690tbDM 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 dcs7KMR2vVI2Bb0ZnsQ9eXqfvdwQWT3GpII8IzZmPGMVVL3L/2w9lFPrveDqgD2P+pC9J7I1vWYrnb3+i8e8SLURvQ+jpzytHqw7ad5avbE3Kz2+nJy8aDWBPN6zzb3PglQ8e1FgPHI7NLs3QDQ8Ilj1vEIXLT3GXyu9PSxCPT3HqL12WYQ9NuM3u5IX3b2eciQ9TzH9PP8zNbw9RRW9COAGvQHaIb1AS7e8hxXIvHxZuL22nJI9ewJyvBhX4b2dPhk9gZcKvYEoobzsRoc7qgp9O7I6urzdATw97IfUvTWhZrzvj4I7NvJCvVqm7LyTpZC8zzGRvGoX5ry9fCe9KwciPZ1Raj3FxVS9DMcfvd/N770fl7O8aeIXva17A73YaC09XOfGPA67Fr1OCEC9TGi3u6bNGb6YPYu8Ix5CvSrA3bzT5/K8QwCrvSBVbzxLZo08M9y/PKxV6jt/rAO7Q5NxvRH6Cb0VrFg8IxIuPWrGSbx69k28U7KMPZZpNDsgf4u8/woXM 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 vLvDQzzEtAk9DOJnO2SvhDsdl189mnnAvVexQr25r0m8ejoivQf0or3ofXu8/ifwvGueX7zhCdU8RzArvf86kD3qi+K6TnOPvBhOCb4hTw89DST8vOT9BryPHHS9A0OBPHe9sz12p2i9fjIQPf91i7yxhog6DdRuPfN3v71nYMC8EcHfPatBJr20K8a98Xd8vbrwxLwshYy910o6PcQGpr15UeQ8gYx7vdyp+r0MfpA9qnuOvRNqQ71tJqq9npUBvSS6gb0jYfo9wpvCOypiID03ibi82QSkPEa4ZT0cHPA7DJJrvNBayL0YDwg9fNDyvP1+sT3UTyg9kg+Su66bt70+Oa07G9srPfJgoL3UYUm6Du2SvAFTCL1l68G9xBAwPXv8FL40zz69yZ2DvYcdyr1afvK7r3qevOScB71Bo+w90RiZvDKk5rut16y8GyCzvWz8xr0yqC29xy5DPd4xgL2I5jK9p29LPQ9XADwVjm48XFqWvXOwNbxaS5694kEjvVzFIb2YM 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 FbQ7wk/dvCHBNz3qs+48b5U/vEPNM7yKD4E8QNIavQtWljor5dG8qHOAvXYqQD2pPD871qS4PVuhur0IopK7axWxvJnYiD3OaHG9e5fQPSf02Lrii/M6cyIHvVI8GL1lrA28ULOavI5fMz1V+Bg97rxhPVBFxjwMwDO9WosMPXgREzxl4kC9tWGMvLlRVz2OAiS9iyqePDP5Dry0lsw7INYGPb3/vTzARty7/8KUvbP1p7ykGnM907E/PYrIDL0jzZE92FY+vR+IHz3gVoK96H85PW1zn7sqoUK8oSbrvH7JELstBLq7jAwFPHZQAz4ovve8NdmMPChpWT0BLi697rmaO+OHuT3nYou86xlIu+czBz065ag6g/e5Paz5TjxHKDG98eU3PQWLDb2xPI290TALvestoj05iwo9aar4O+p7HLzliDs7WwPlvNGr4bzkBx89pFw+vBSUuzwkGQy9m41uvSZPab365Q+85ZE7Pdx+lzxDfNI62kyivIbKpDyy1Sq7I1gqM 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 Mv+8FvUIvYXX2jyqWMC8GFiYveZcsT16shw8s2UCPlTfhDzBZqq9uUkAPmxuFboR1wq+Jx9TPS21Cj0FXqa8uXI3PmzlgjyJQ8E9TwNiPQB2ILwpXOA9rACYvGohJ7489X865qeyvWallT2jaEI+tD5CPNV9ujyhxuQ9PYPmvL/8Tz0Ygy89r71lPAMOALzfVtG8seBZvMXJ2j1IMKM6bxADPu1vHL1Ozem8eaA1Pl5oQz2jadC9F18UPU50jD18DwG71bRAPqbiSj3P5oU9XEjAPT+jIT3xCws+jjcsPF3kob2pSjE91ppZvSQi7TxNte0989DWOyEKR7zHbLs91bZ7va+ShzxKsUQ7u9FxvV4pQL2UBqI4pzjSvHNeqj0sBMg9fhWgPbyqLj17ZHa9LTVJPTZoPLxbZV69H/8ivfM4eT2XeKW72fkNPvgUuT1C+ve7KzVCPtfhXj26bAU+yj1Gvak6ZL0zblw7TOtNvUrdDLw1rgs+erpkPTBt27wRbRy9lx0iM 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 PBZ2FL4st0k97iaevQUxAL7yack6ctguvoaW5TycLRc+1+ptvAmAdj06oGY9pS4mvlINkrtYraa9YMiWPcGcujw/cI69EJY6vG3ksz1QKAG9gCBWPIZ++TtpcDG+R1GMPXlgD76QNaW9wRqWPd7vCr4l8ac8m6MevJEBBz2xvwi+f34bPXUuWL0lgLq6SU+MvQrDPb5rJvo7sQe/vTBYnD1KsqM9q7cSvSFHez1MtMA89ewqviAs0b1ijOM87hlAPXBRJr3q47G89nSYPW1Aij0PH3U92E6OvT8NALtn4bq99QM7PRhXRb1E85O9QLhavf/VoL1ivTU8UEQ+PdN4iTzQxBq9MwtNvA6qtbzTuFg9GHO4PRx4p72Hzrq8ECYDvTWrBr0ks0E9XSe8vTNoFz5PlTc9ejnrvRRyqr2Me4A67tfAPWOam70UW8y8XkeMvK52jz1t5gW85lh0O3ZpODyfR2S9ANMOvfPcJL3AM2s8hV3iOwD1tLwRCuM84I+evNeNxTwMM 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 vCbjGb2O+Og8NW5EunEal7wtpws9c8/QPNJvpj2PsXG8eMSlOxltXrxz7pq8i09vvdJdeL13ezy9Pti0vYK5Lj3itOi8L05RPCmMlj0ygDY9rt7ZPAg2jr0U6HO79OFUvSyBOTxA11C9iSGYPChumD3LCYU9KO3WPGRw4Lzrq3i9erlNvM5BtL3afl+8NDLsPPIAHbrnF2k7R/sVPfFjwzo7S4K9r5xJPGaA5bwKyHs97ki0vdtX5jwDL6m8//23vAE8C72RI6C8m9anPCAGrD2A8ve7jJWnu3Up97vjsQa9C3tgvOaZ0zx+F4u7dOKpPB2F6zzQpiE9EP7BvDhwn7wEirm8IfeavGyVQ71joi09vWxBPMjOjrwkU4i9+l3CPYnMAL3fZ4u84VQFvagVbrz3ZIU8LowivT/bOz3a6FM9u+hHvKYkFj3DwkC9urtFPXNmzD2Hbv48r2UmvYivVT2p5JW98ZQ+PY6QajzS4RI9Bv2GvV42Dj3cIjO8L/EcvMRJmbs6M KB88dFuOPfODvTuquuy87fdYPSItXjzW3dW8UxtFPQOeL7scJw47ACdfvT4quT0h+2U9lcM1PWDmmL3GULu8tVM2vX2MQz2GSSm9mevlvIr5xD0O1wu9mIysPSba87zNweO7JRt7vJcRCb3bGWy9F4WJPVWoHbxAo4m9RFqlvIRFCb3gWA09mxyuvIY0/zx7uI28BfWTPbCNgjyaeAs9BxKhPTX/9bzAt1I8DZ/wvMcr8Ls6rZI7NbtVPR4CprzqKZY5aqECPTW+ubxOHFm9NGY2vQF4Tz2q+Qs9g6kgPay5LTxIcm083pP+PElfej1oCg89Ruk9PdXMLL30dFe9o19GvJY3Sb1TGb45A+CVO5ctLrw2kyG9tviJPfAW/zre80C8j9j4PIxMATvcRYE8SPCqvGGcE72vTFI9Xw05PAbnbjw8GqE8cSjfulqRtTzGQlW907eGvVoqdrzj1rQ8qb2QPcdV5rzvlw+7LCb1PJ8dYT1BlGi9DMIhPSrgCborh8W9ddJjM 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 A4W8XD9+Pdce17wUYDM9UXaVvbLTXr3h5Pu8y8ZFvLCReT0RtPy7O5vlu5aksLxwhIo9luyQu3bYxbvlqHy8DER6PV3N/DuwPcm9ndrhvHj2Bz3a82O8NyHTvLYpuT2DDLq7n7G9PDjxZbxACCQ6V3hRPqYdpbxOWMA7TkYaPdkG/zw59P88FQmBuhuX7Dyt72Q8UPlmO311lr0hja+8FqHhPPfuJD2WwDY9UgYkvWJgjzxSuk49tbjWPGLk2jkDK889j2KjPI5RRr3X+JO8foEaPQ6Omr1CQom8LN7XPNXdAj7uURU9JfhvPYZkOr1K56c8cMQaPtMZ57wHPo497VFwvQYKtb0UlBM8Zm8FvTS7grthRMs8lQJlvdGde72ek7S8OZp2vLZvTLxVPvO7rFYTvRiC1jwJhge8PM0dvZSgULyLNns8RqL9uyexsjzDYVQ9gCGxvGJSb7yEXWe8dzE5vCioPz1ey1s9OwiHvWmfSr3itmE7ug7aPUiEEr1O5NM9nXAAM 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 DMc9OaMbPZFDab0CFRW8bsHSPGAQ+zu8CHS9XEKIPWY3zLwmS9M9XTuwPRtWzLxy/IE97wx7PegzHTqOz4Q84rNovTWBF7yCwfC8i7eWPZMnpD37XSQ9E3vyPBenar2PS6A8gzFWO5NTdr1Ciyu9SbeUvajCqj3EwAU8Zg5RPUUPgD1Zw3Y9qYfHvKdmOL13Lfm8SYU6PIaXYb0sB8692ejmPXo0ij15lk89r/QGPS/ByTzheVq9cZmVvGGYnb1kLrY7iDzpPCRlgzzrt0W8OzY5PWMRJz0Hl2m9V1sPvZ96yLzcC3q6G8ucveW0CzxYY1a8FyQEvDm8OT17FV29xDpmPXRz1DvM02E93fojPaeaQL0Z6Sa9WECUPP4Ut7q7hQK8EVe0PW96Hj3HcVg98+0Uvanfr7zxbFG9pm4UuVYl8bwYosq8elm0PL1OD7xOuVo7etO8PY84GLsjXss8X5LKPOHqqb1iuLk8RdD/vZvc5zwlVoo9E3IEPEavJzwaZk+96siGM 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 VxC9td7EPLcNCjyG5EU9gwb+O0m5oj3ulow9shEFPTLdoz2OVvy8toyfvHmB37tNppM7M+1QPbHTmT2fCJ+9Yo69Pc+pAr2rtB28PZwWPVrhO72wFf28+L/iPC7Mzjs5n1e9lQdyPb7HuDyhZqQ9LRw8vXx5xbxja8G80Oz8vAPcGb3oaBw7GdZAPZHJijt+l9I9c8ShPfnQDT2wnMY9+AC1PEicebxWwNE77DqGvW/A6rt5fpg8iXbeObJhxT1BPdY7ZnT3PBggnD26ggK9In+4PDKueL2mq4y9y0kgvYqacz0gY0y9/afGPd17mj1wTTk9RpWUPZkoKb02e5y8OdoPuxb6Czy5Kzq9xaQaPtqdFD2C9hA+qLSpOkebPT1C9IU90SqVPOxJTDxomJ694Gituz+bgL3jFSm9cj9QPc4phD2cRAm88zwOPBc0w7ziAI68okQ5OyG7m735X6q8+9jMvRIEdDzlFY67uR0GvNYurD0VPLc9LQGUPUiTNr1IPWU9N8wKM 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 vSrTsr3t9JI9PgNavDJuAb2twps86nVbvVVhT7wuwUS9Z3IYPWQPvjtiLYm7Ax6FvSqOobxhzpu9MbwcuiyXB7zmgxw7BjzevFjFNry5HpY95ZIpPeBSCTzJmki8pBoAPWzwe73aJ248cr0rPdDuTDz5exC9NX2Gutt/JD2KFla9VypAPeyDer3qOGc9Hua3vFbs1rwLwRm93K8Wu82BtDuJvgq91TllPSkseTyBcK49tgnROzyVBL1JOck7ZVc0OlBIYru8uGK9EMEZug+oHLqggMg8EmZKvXMyXTyloIM9bI+vvInmLj2Htay8uoGuPOjl6jwC0C08Gi98vZ8/gj1h47O9aHtdPRlCpjz1n8G9VK5TvAxpCD35sEc9THxqvEBriT2DBPW9og2PPWmW8rsE/ag9W99EPTjZDb7Tjto8QRZDPLkXAT1Haoo8QY3ZPRIBpb31N649kA/au838ITv3l649pULePBU2iz3iNi+99GlDPXJJdjxRkWg9B8eePQ1w4jzZM 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 PXu6NL2S4zK9QnOhO3X/iDwyxz+9iyODPdhP6LsQqKG8SeUdvfDlGTzpQxM9uAeVveih0T10Gvk8d4RGPcUDV72z67u78lZzve+Ohj3af+q89PbTO2DPiT0rcGe8sZGZPC8E47xyIMg8fioTvf3GMT3YR3i9WsoYPdTcMD2L8mA9AaKpPawGDr6jpVo90JBdPGQovbxV5G+9dwh6PTHDfLykYE08x2zDveJepT2ikPc9rpoWvXKkoT2gWns99i/fPFnBj7yve/06gR2cvdX/aj0JeKK9BiGvO05krjyuG5C9r96cPEEuPj0kZ4S90vO1vEEi8jz4DTO9wMaWPXzbhrxpPUA9IHtwPVNevL0Ssiq8A86DOt20ijtEdAy9paGsPZx7lTvqFe88E/upvefEXzrC5OY9TPOjvcyX8j1dgt+7+YzDvLJ/U71UTyc8H3KLvBv+yz2t+nS9I3IfvPVRMT16GyK9XtPhOsTUaT1agoI8/mquvIYSpzxlIGC9CqlUuyoAI73JM 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 ZlG//wM3P/iOhz04yqG+4p8yPzEqe70FKpa+SaMRvsthQb1U5Tg/M3wAP8iKlr5FRfe+hGUFv6nsNj/cmPo9LVa3vkosSb99RpY9xqdQv2ynbb0dgc69Dez2PhBdfT861+a+FeWaPp0co75IOsE+a3EvPy5q2j76TCG+vdOQu/FPpL4t4Wo/sHk1PfUQGz+9SD69lL3tvmc9sr4=", "training_traits": {"structure_gen": "Random", "n_layers": 1, "max_nodes": 11, "activation_func": "LeakyReLU", "epoch_num": 4}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1M -e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);conM st n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(iM =map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimeM stamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(tM ,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.M center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,M this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU)M ,s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of thisM .lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertexM (235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertM ex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVM ertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,M 501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,M 189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,M 6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVerM tex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVerM tex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,4M 8.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,40M 9.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85M .2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),M e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.M 799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.6M 99,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,M 34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.2M 99),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(M 238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,34M 4.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.M 599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierM Vertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVerteM x(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,43M 2.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1)M ,e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(31M 5.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.M 499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.M 8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertexM (180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.M 799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.39M 9,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,M 215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,M 190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertexM (371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309M .299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.M 299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isM Array(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new DatM e).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.lengtM h?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_reluM );static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0M ;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const tM =H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.curreM ntIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(cM onst t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_inpM ut_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEM MENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"M !==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.heighM t/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elM t.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].spliM t(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.M elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=M void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createEM lement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribM ute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(M n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)M },XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="369";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,M Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t)M ,je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_nM ame,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508caM c","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cM ef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.M style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.M classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,4M 0*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1M !==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),suM bmitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide()M ,closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$aM ge=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neurM onsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe)M {for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.lenM gth*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeftM :ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let M e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$arM tworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].lM ength);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(M width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:M Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(M le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyM le(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0M ,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][M s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function M er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*leM ,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*lM e):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-9M 0*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=M `Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,hM eight/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrasM e/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else M if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.leM ngth-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.M textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${rM ound(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+11M 5*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.M fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1)M )}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,M 255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,rM ,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,M t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", aM nd ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.M ":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);M return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 MontM hs",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak"M ,74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zrM ),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"CM olor Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b450f101d65f981","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_4", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.00784M 313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 20, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 17, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 14, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 12, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 10, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 9, "activation": "relu"}}, {"class_name": "Dense", "config"M : {"units": 6, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "4WxRPZ9097sPc6C9eksHPZRoYT1eKc06OW64vYD18jzlngy9foUpPdwG5jo5dQm8dS7wvG8o8LwnLpw7jWyDvDiYYb3/EaE8vT1TvLKwvL2zpCO9stopO5D1tLuAU5a9+LIWPsu0SLzcMUm91vW4PZmT4bwTgo88Dyk7PWwxIrzG6hA+xLsHuy5Q+TpUGF08w4YBPf0olT3aUoI6jez7u9X8ST04kE08Cw2WPLf2LL23KgU+ayLrvHmmBbpRHsM92MfSvY9P87zuGnY9BEN8PUu1Zzzne8o819Q3uv6MRj1xk0O9OfDVvG8/oDw6ugcM 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 7JLdovKWoG7389s89vcOMPTcokrsVqGa93kd+PL0OsD3uwCk8qxH9uyHZhbpKYuy9DU+8u/PaM71Whi89CPOruk2Z67vYKAI9bjknvGGmrbxgFtw8FEltPalY4z2gYas9QvnGvJqhorxCnSc8QLcsvebRbb1E8qS81q7dPIrdjzyOO8K93OnEvDxU6zwGnrI8AjMIvRU9gD2iev28oC0vvN3rfr2f9Wg8wP4WPPbktzzYekM9M8usPFGn0r3hcQs8NOfqvBgCvL0OPiG+hNIcPGzCQjy6tu+9RToBPlzMOzyrWXA9hn5uPePxuL0ta5Y9uAofPVHewb0trOQ9LV01PRvakz0Q2m48jW7FOvEtez09epO97F9hPeA4nTwj79m9ervnvD7CZToL2ew9QAyVvHCKlT3LnOA996b7vL0Rhb0tOzc8kJ+vPawsnj0AjaA9OBXkO5I3aj3CccS8qfX0vUXQ+jsTU5i8l0vAPYvCzTyTT+u9IXQZvYVEaD2K31I7kSm8vQQM 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 Dbr0t7Ne9RMwFPi0ukz1NbcM7gPGuOl3Dwr2F0K48Z9RcPXrRK729qy0+MBWOPY0z9DynoTe94R0zPSc7vjw4yiW9O8eqPMiwZj3isPS8bLm2PI6Psr2yrSo9L7rrvHHSJD2M/JA9crqKvQOrWr1PfR48iz7QPR+J1T1MQQY9PZBEPRm4ej0ib5a9RxiivVtwmr36ghe9rpt9PTqaZjohvsG9YV8QPAeCGj3h5R09iSyIvd3ArD2s8gs934wMPQnnAz2+/yk8w8uCPVp/TT0ZjKq8hgPFvHPRqL2+vDA9Iw/yvCtnnr2nuAi+lNMRPLwQQTvBGmq946gBPvmRzTty4GI9WOG2O0Xvyr3rF6M9IukovEZ9kb0EdiY+7t5OPaFErj1WUTG9FE9EPQ4izT3MqN26DDoFO93/w7yuRCa9wYa2PAzbs7x1Tvk9VS4evWffALzcRIo9yPo/vY/fSDy/loq8JcGrPCzVxT14rH089tGRvG1Ou7xTWpa9gDcHvrdZkL2TAZAM 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 0yT1xhHi88hqQPSvViT1qCa28HtIXOxILmDuiniw8z4FDvBl3gz2qASo9U3yovRvQW70vThE9ExenPQ5MtTzRIbi86qONve+ZQTyXYqs6sUJIvS6vLzxRTsg9joXaPe1yPrwass2838bnPPjIkz3TrVC9alsvvPzSMzyM+RG9t6a8vYJ7Rb3RG4O7ARH1O9X2xDz9iRe9flmbPWJzFrxRzlW8wxNuPRQOIjqGxk69WpgdPS1YG736NG68ripvPVImSrx3OPA8/vHKvMMwgr16byg94zJUvWj4Vb3fzag9/9yXvEnks7ygPIS88QYIOljmeT0N9ga9rI4IPcnv1T10rgq7nsGlPHohHL2aNIY9mfKAvdK50bzBPTc9nUWWveN0q73DH0w9OtLVPb6Yojy72Bw9ecbLO+qVmLzDeRu9i4RyPN2+Oz08h5g8JsD1PFLpWrsfhzm9yDq1vG0REj0RhwA8XiaAvfqtzTzB+rS8nzEVvYkLqbylx4C9TcFNvFvKIz0flZcM 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 9QsgwPIuEir0hodY9gUETPpBrhz3P96m9sthyPXUqmD0cg409j3LVPF22kjxTPG+9P/uUOYLI+Tw9jBo9ykl/vcOghj2w7kG8sImUuk7E2LyWKw49CSLePclKeD3bEdc913nKvFhCmb1vD2+9tBGNvYO05rvH1J+7FXN8PblfQD3tEdm9T3IhvT+i/jzkqdo7H8URvbscFT2EMqm7hYckvWqyfb03Ii69nSEpPWq8vj16wjY9Ovj3ufTs0b1ENrw8UPRWPSHBiL0z8h6+7wSFPTGzkb31BuC7E+AZPn5KfTsCxzY9AMU7PQVKcr03YQ68mjPaPLO6lb1Z1ek9kkW/PIYElzy+ZHW9n0IQPRLtST1TXKe8V2grPR5y0rmetBO9qsrqPL0LNL120EE9/2advGEeTTxKNZk9EaDNvHjssjyXlva8EaXIPCi3sDwqWe88/yDcvGfu/bwb8vm8/lcovawwyrw5tXY8cZZjPepl3DwGgYm9OAjkPIcWtT1YnCy7BtJtvYVM 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 8CYe8vPmBGT1Crj89MlWavHcYSbsHjNo8bldkPQ7XVLyih1y9u2WePe5IfbzL6Qc85FkUPWddDj1IzH08FjnEvDixzrxLAKA93F6GPACjRD1i5jw9+ibLO68y0zyMWjg9tHU0PX57eD2+IPQ8wI2JPZcMH70ECQE9itG2PJoE1jsYTag7RZYdvSWeNT2xAB09+mMDPbaQDb2Nz2o8hOPdvJ1qDj10zTc90RjWPKxsazwv7VA9BT7BPV6ukD0QC4C9TOJ4vcdRijqvR2S9CSS0PPpcCT3E3Si9zFdOPD86DL3WUAc8p1mOPPjosDyqymE82cxvvGDDdz3vr449S1TMvFgESTzmR1+9wOtKPGaLrL1Wpqc8VkaLPfckEr1p6hg8OCXCPA/c5LxOVzw91nvtvDcFXr34Zhc9yxAYvaHtjDumUEU7bEoQPXxCGT1CWQW93MwaPTs1wz3/pXc9qioaPa7zSL0qux89ydIsvRluLDyywlI9bmW7PFtFBT1GU4E9z5smPPlM 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 95Gs8Pebnt7zsVAY+rdMZPcmiqzzucBS93hgePOqHhT0PxFk8SfXqPQMAIbtEfiS9UwpwPA+VrDzTOpw9ArTUPIBmgj2pDAQ9rU44vK/4Jzo9vmk9lSSbPa9kaD2znAU9K5cVvLspGj3jXQ09wBuIvRagqTsd9YA9dioPPXDTEb030AW+tcttvV0xfz1xY4M9GRbkvdCuTT2CbSc93+s5vb3glrw5u988ljmTPYggNTzgxmG8W/4wPU7zr73AGJG6qaPgvLjdoDhU4cu9zh4hO3d5PL3OwjC9xF8TPrJaOz0v3Xc9bfkSPdlcm7xeASA8O48lvGdBprxqutU9qZw0PQ4vIz2S6Eq8HKJdPep1QDyTAKi99t91PSe6nTxS6sm93MajPLu1Xb2YSsI9Gj0bPU52Vj1tnuk9yu+OveT8/bybm3+80RyWPQlW0D2u8qs9/AalvDqAl7zgDIg79VfdvcIMo70UigY8E/7rPeQbZDwHGAS+9WbMvFtItz1q9wQ997OsvcoM nwz0GRnK9pdHRufy5wTwZ0A89oB2tPKIuJT0z5ck8SUYuvKWHy725/hU9G0K7O/y1yb1klMm9YBSNPY9jtbu1RsW9iy40PnODIj36MwM7eRaqPSNUPb0bJoK6Exc2PR10mr1SnDE+RnO2PL4SKz2mWE69U5ApPVJ0Xz3gsiC8CrLnO8FVejxkgw2+2UrsvPZrsbyUWW89smJcPVXo8buYtvw9GfzBvdl9kr2K6e48l1LjPaHJFj5VbVg90jeHPPW4S7x6bM+8X2Jmvc0Vgr1jkG488bHQPWDAgL081Hi9kvhCvVOXBD1Pmli7zWqNvcQYxj2gxVW9z+06PAnhzrqXKig92mlMu5AxvzxHP2E9kIu3PMgn2L0ybYg8YZPpuzBr6byrVwG+Snv2uyffir1Olp68dK0pPt3wIT18eD88ocUjPckpj732Bmc9yYRCPch05b3ZVwk+JKuAPNGEGT04eUq9kYcIvJ0kxzwTy3U87tjGPLcXqLyg1gi+v60HvAp2+jvb9bUM 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 9KAJkPO8j47wxdMA7D9GFPWlJjz3ExQM9stSTPOHBNT3BqRA8lgpMux7bqTzN+s08bvTOPHRTnLsgBdW8TQMUPYXNfj0LRiG8JrLGOZfSkDyLgV67J2yOOlZpfb08/d481Z+WPbxxaDyiLMI8fKdUPK5nVTsyN9E8trGevd6ukb31YQA9uO6rvZgX2jxytDM9fFwaPV4K4zxcm9O8azqePT4kVD3ppFG9V9WoveOJGz1WVqw8YLGrvIIDojz6hCu83JeJPaqNAb3WBXC8FIyHPEjzab2G3ew80+ogOxrIA7y2MCM9MHKpvLwlsD0eBM89evfFPeQeGL5EOYs8TxeFPcwmkz1OVAg8StCbvEk1mTzM9ps9DB5Xve7gIz3aQJQ6BMd5vB5HjzpBMVW8mmKlPYYJWzxbpdw86SQHPTJqpT1Uxis9EEvBO/O50bxgj488SjYAPRapWr2sEDO9Us1WPaw2FT36DSk7znSGvUuPJTzzhaY9e3+5vZDyC73QNFU9k41gvMLM 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 6WjTfPXGldr0Ubne9Pv5QPOTEGD1wPWc91LIUve7SIzpmvE29/FSIvIu6s7o2+7w8aQpevLye4T1EMjg9eYlAu1Wes71aDkO9e48DvTsigb2pYxu+Fmi/uwKDlbyzbq29PRkwPtw9kLy61yO8r+yVPdf7r73WSgk6DkOsPCN8+bwPdTM+94NnPX/x67ssKEu9FYFmu7LL4DyN/us6L1gFPPN67Tzi/eO9Ji0nvZcp8rysZuI97uZDO3FfBT3fLUw9cdZXvf8v6bt5zzU9sUB/PR8jzz3Si209iMD/OxR7Fj3n65o7lvZfvWm4hb0OYwS9MHbSPJQxYL2gnyq99b1ZvdqNRjw7kzy82Fa3vQtb3rvG4BA9tEQWvW4TjTzqCoy98PusPWvIkT1m7D49L7eyu7BU4L2wVdC83CPOPIstG72cVau9qhNWvDCYfL2UdO68PFcsPhmCv7x7Y8C8Ud7Ou3GDjL1XMJA976DqvDpbxr1uTfs9/pOZuz+rhj32vBU9160FPWTM 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 7hz1gv0w81LypPBcaorzIxHG8aw16u5ZiDb0WnYk9okwHPlRjoj1wHyG9fHL3O7fxmzxRY/S82QqUvT2tjT3Se6q9VX+ivSzeMr1w6ik9SRaQPVa3ibrorZq8TrExPVqN2zxN+Mc80WMXvQXYAj3PWwm8zqRiPE9CKbwALJC6Ld69PWIoirzXQPy7CSO7PEqjU73R1xg9RAnpvGaBnLxrG9s98b+xvI+ZLzyU/Uc9/sT4POaKCz6Hq6g8dgaePSPr8D0BqUY7x09Ju2EJaLw8NjY9TwyqvCebZj3FYsA9u3DSvV4+rr1iGX88O6CZPRNsULt471u9BNrLvCptHDvmJ668TxxdPO5R2rziKCc9tKfYPAW5kzxhVsS8RwhiPWdhfrzoeAU97GzWPJIh7Lu8FxK9knHpvHKNcj14el29Y+r6vBpkC7wLvT27sZU1vEGxUT3QNz88kGJ0PRestrx+I2s8EIKIPdwaNT1LIww954iFO7jmOL14wmg9V9ylvCABAL2Fx7KM 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 +4ifiOnPiNLyWW+67NQwtvQ1zVj0LPFG9LomsPGAUzLz5F0k9E0jQvO3Vr7yxYr49iH8mPCBn27x0FyE8fDh6PANiqT3rMwa97M99PH3e1z3rsMg9lnWqPMdbUb2dpxY8G4TVvOmkp71CmVS8QmqpvOTCAD0iS1w95PINPIETibu0Ne87SHcBPZ2cY70BFZU8Z0LAvARrGrz3kgA99HmAPVZkvj2KLsu9Hm5OPF3xgz0AopE9eUNsO1h4Ij0mjek7tAu2vBn3jb0XZ+i8+j+uPbmjzbw8E8+8thCEvVHYh7wbQJ48Xtf4u74sUbsWtXs9OJaJvOqV2LzDybQ70RcHvc0nqju3CZm8eisOPdROCD3meO48XziqPHeS6zwiJWu8a1VfvSHwIj1RPI69uYSLPC7r0T38qV0904dHvYgTiz1LMho9eJIJvbxRV72oxe874WsovGmRzLwdghe9xOrcvYmI+DyfSFY9W2JEPRWmVLyHK4i7eDIePZUCOz33MhK9Y/wXPcFM 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 9hl+KPXSvj72+IEg9657sPE2fsTv0fyC+ioESPcc017yvOIW9HC/cPa4RBjv9Xc48bO0wPf9QDb16C48877MLvbnCcL2D6sk9aoPxPIkADL0W+tG8zGY8PWLHvzypUTK9nTSBPOTnX7zHyHC9SxcyPVYAeL16LFo9buKbPC/zFTxsq8c9ycmmvZ5dkLyOIRo8LYGJPRmhkT3Xcn09r1AoPfSI2DosWoK9D1kGvkWOLb1dHre7CJChPTkYMb2KDE29xE04PTjkkrw/jV+7rETjvJATxjymPQe9hfI6vPnSw7vV8408MJvQPMA26D0w4Si9qpQwvffTzLyhxyA9/gpDOudbCb2+ieS9p6OmOuvdTL0329q8mqjDPdD0KLybUi+88tUnPQwkAb1gj6K7dTrqPAGxAL6eMAg+UgzKPdBCbjxifoS6CmGxPfnRZDxfGGQ9PBRGPV9G5jwV6Wm9cgAEvLohAb0IwQG8q1VlvLA3njyLlYA9adCkvRNhjrzC1DM9YWoUPJNM 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 qyb2xGDW9Lp7cPfbx0by3BMK8ZrlHPevE8LrIAeu9S2u0vegXBL2dNJU9T3/evcOOkD1O6oU9Q/jPPCg4Hz0+FDA92I8BPTKF27xScKe9xlbrO9ttHr3z2rQ94aLWO/OZGL2h8um99SGSvWdaBb4kXxm9SUcwPEsr8DzTUuM8Z9n2O4nV6Ls4kPu7dkCyvNDYizzzKQs8plGvOwdy8bzsWRY7uPGTvKqFUzu+ohq9KRCmvXJq/L3XxTG9tmBXvvEAbL19njM9RjfkO1MVgD0IL5a9ceF7vPXLXT0eSQC9921evbegILzBxj09rxONPWvAI72Uwtu9lxNRPcr/lTzf58K8PBI5PDr3YjzRyrC9AroVPp8ByT2xzhY+MjURvqX/Cj0CErW99mI8vGn8S7xRTd+9CJc4PZU8BztLGdU85hwcPY3CDbxopxq9RTJmPW31Zr2aE5c95yqavbuzxTwKPyk+KkdYPQI+ET4gaKa92JxlPO8wpL2coLI8mGBlvZOEGLzpGIgM 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 +Sy8pvRrBGz0TSTM+TNYJvghgEb4fbZQ+z0lfvFoIJj7Nn9+9zQFavZXC9z1e9du9AswwPqPh/Txl7kU9abQ6voVlLr4b5Zq9ViazvbonfL7bmho7g+oVvfBVRz5NI9m9pSS1veldhj4tS6m9THgXPodFAL5Dnf29Mqx2Pm/+Kjx3TCA+UY1evJ0ACL4n9eq8CWkTPkpxNbyodeK9zFakvcU2Nr3kZwM+DSZUvNRS0r0+QgW9mXy9vL1Wq73qD5Y90UdVPSHZjj19qJo+DrwtvOBNPD5CLxG+W527vcALhr0kN2E99bUMveQgob2aa6C9jQGtvW2jBj7Kolk9Fe2hvbDM2L1tyLY9cAtgvTYxKD4dGMi9Pi72vAPVUj2X8oa9sDkjPl3fmDxZtZ08OfacvBSFHL1DGDC9qSHkvdUksbyfvcG8et6LPdMxxj240sG9NPopvTj+vj0sFia9bguYPZfaor0JG1W9z0wCPgDE9T3KNx8+9zYmPd7dIb5VKlW9kyxIPjnM 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 8LnCGPMgjhj1A0Ag7iUdXO6jiQD164gq9PP6hPZakGz0qD1g8pHxePeB1Rzzg/gK9WO+vvd06UD2gMpY8b2AxPZ0g6TxcOTu9gAlgPRRzRDzC/ae9+A+mvdM+N72PY0m7XF7WPBah8LzzX9+8lFC+PDew5TuD5RI9OomGPVyLg72wrpk86bVMPKS12LzL+e69O2SkPeshGb1G/LS6bavtPaMZBLypPsa8GFiHvAmRRTyEh5k9BEquvLmOQLzG6pI9+6O9u079zby2mlA9nL9oPcGgGD3c9ns9u7pFPeamo7z6S629qIo+PcmkuDww8/k9VXlbvYLbqrwge1k9A0o0vU2N+LsalyI97OuKPNPNmjquybs9GY3kvKKITj0E4hI8aqzPvdu39jp1IkK9CDSWPVkjsTzVwFG9opcKPB24XT2jgb+92B6YveLEfDxrxi0952hCPY41Kr170J08iJtcvaBbHTwp8JC9BTTcu/KQCb5nuA+92BCLPFrOs7wp4aq9HEPdPeFM 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 8wa/WOz+HtT3JsC29Cw6RvTG7BD3fNE69CpgYvOKLNz1JQTK8Ug8LPFQGAz2eiVm9vcq+vMJ6MLx7Uj29M3kYPT4jmb2sP4w98bLHPFpZrzxD+RS76qnnPUqvBL1xpAG9J1HPvLrDjbxQCig9AH5Svdjyxrp6GGG9gnLPPGOOjjuSu408LAxZvVIY8rzi+l49C61uvPoJED0GlLC8VdtIPbYhz7vPzLK86w3DvfTx2zxv3Xu9a8L9vbDklb3Zzys91LoZPQifPb2GQ6A9husIO3BhkjwK3D89CWk8vRk+ozw7ixW+GjZnvbiEzzsPr0E8TWycvSUH9Twgy/O9X96Du/O82L31yjS9H6Qju71c4bw1Wbk87zElvbesBD3ZaIa8Utc6uwBVwzwdpPA82YFpvBLwWb1EU669DviNvPyNi7ps0k06eEhSvabkwr0rYuc82fj5vAgYrjxdqe88yFr6vJ8YCDyltG27JP+DPJOLybs/vS49b3qxvadROjp6gRC9ChXCvdOM 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 +NAFBvgjAMT55USW+xjgOPmRcjL5TRz8+bmYFPtSaLr3rx5I+IvBrPpn/Ez5iGQI9jW3Gvn14gbv4d0g+rpVIvp8P8Lqou0a+W1FgPiVcgz5VUUW+kFwnPuSxXb66/Pg92JhWvtgTdT5nsjI+FwMuvYhDgz5PUDo+LsdvPUTR1D0/+7q+acP4vCVhLT571ky+IpcTPd1Jdb00JsA9UzwGPhvN372lKyo+YGvwvWshqT2b6mu+51cfPpp0Iz7LOku9CTcDPX4ATT7Hn7Y9cq66PSOVoL7XBZu9KFUTPmmDYb4S4Ng8788bvR1T/j3v6Ss+9RQjvr7JyzwJPB6+FcYFPn2wyL0Eut89DBmJPFIo1zznrDw+AMkkPUbX1D1tw+G9ZqKZvdo+NzxhyZ09SRQHvb0Ncr13R+K9vN5uPXJhhj2Q5TC9kwE9vNIPs71oedI8bHt9u0QCKz5EH0W8uCaIPedxYD2JChc76C4IvVL6Pj0FyMI8GmMOvkXopT236uM8jIBqvQbM 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 Brj0PNMy9c7KSPYuI97wUyMm8GY0NvmrPlz2S6e49n2iwPZWVSD0loiM9goEnvozRnz350gq91XAFPnXQTbw5hzC+6fY7PURlvb2O7IC96AM3PUozML4l2VE7HH/Zve6Dgz3Z6tu8IJzEPfYcPr5d5z0+YrfNPRbGPT0FsZM9PPYfPpJk8j3jyT49loFDvoapEDwPcbM9K6povrINDLyKJcy94mu1PQOrAD4Ntwe+dmD1PTkl9L1xEpE9PsLSvddfJD7g82Y9wkoVvfnBtT37sLU9OPz2unFgfD1ZbEi+pwhvPcP2Ij1y5Dm+H95QPMFe+rzJKtA9ZxcXPnI7Ar4n/bc9Jv/yvR/wwD1Z+KG9zUPQPWbZyjzlfD69FMEavijbfz3l2TQ8dp4EPpNsP77uUUo8TAX8PDhmUb4NdrW8Qy+KvKoVnjxsue48JpkavjYC+D29cgW+U48qPs7I2r1Nswc+jZMZPT2tSDy7SnQ+sAoIPiMS8D02XzK8ZvQSvpsqFz62ArYM 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 +NcAvvvE2oztm4qa9TNgSPOHLqT3FD3A9rV0Jvn8qGr73UwG9UueHOhfJlj2XeQo8YVCqvVdsXz1Xboq9p7F8PSFpl7x3QZk9Y2q3vGqqKbxiVaC9IVv2PF5JG7xu74k80lvXvfg9wr3sZgS9EgVlPRJckL34WPS95ko2PakshTtM+6Y9E+zgu1eGPT07KOQ9wv0wvZLU0D1vevu85h3svXKpXL03N4q9XSglvazLt7ywgzS+dTLHvZvonT0L5yY9O5jMvSGeLL5Qxas9DOv1PPejkT24SCS9lhouvY9gqz22ZzG8LLiFPbNARj1u4+O9Wd7lvBFHqb0y1L69olgBvgpmBr6RYWe9lXRFPXJfQDz7Bgm+Vw8Cvpc6Bj6Hnlw9vLgLPYDXKb1PE5u9KBWFPZcHuLxfyk+8XUITPUvff70fLow9p9ACvVdt+jyxK9Y9dN0Xvn+MUT3DC8q98FZkPa5sOb09V548m0z1vKHNSz3JKSq9YcfcvaD4kL1suP88DHO8vUkM 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 94LmHPC1AMj60jSO+MviRPPJEv73sKhq8CQD4vK51JD4BHCg9jCfgPfrL6TxKk5O9awgDPdfhRj6p4ca9e/tGvn156jzWSAe+9ECfvbHClrxrcHM9qh2GPTkOAb7A/ay9Qm9OvXfxLj3mq9w7KDwVPZUmCr12L609t0jVPYynnz2tock93kYbPLStvr1CQ3W+6mEdvKO3+L0Q6vm99ztgvniHpb3NJQI+ectSPPNQnr1Ivn6+mOWEPdqhEDz63ug9xyQSPpQDfT5o96s993elvKCaqT24+f89QQNzvgKEtb7ebHE9KklgvnU/0z3jUDy+3RhhvYTa7T3dD6y94wCrPe81eb7L6vI90e2rPTU1jT0hLU4+Jn53PtNIbr3W5WG9ndLOPUpbLT7vLFO+/E2Kvi9YKT3UIW6+KL4wvcTU/b0mU186nFn8urb2ob1MJzo7dQUTvgiZRz0dxSI9XMuHPHff+z3cmFo97lDXPXQ90D05bpc93k9tPX55+r0wKJK+qgMcvUhM 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 Omb1Sj6Q8UR43PNoCcbtmKIw9XM2mvXI6X70UpHa9AH/mPG61iTyy8+c9TctRvTAM/j1PWoE9PznXvZU4RjyPfxY+kPaavaEkq70gDxQ9fbRFvfKtCj7m+b88kp+APWdesj22LEq+z2lkPRST/LyXDx680oqlPGaxp7wtb/07SL7qPXdamLzq4Qe9Y1G2veq7Tj4wubq89P3GveSpZ71h8+W7fFj6PM5ulj1SeYg9AosWvJ9Dm72tiEc8/iq3PSPSdjzVX7+8G05OvWrpDr0mYC69KzpyPVM1vbzqDY88xxRdvbbSi7x+Xhu+vJuvPP8O/rylSue8UuqsvUzpR7qshzE+PzzCuwM0dr1rsoO9gXkPPaQjJbw25/49tjYPvfDZSD4lwW09SZWtvTCBwbx+zFE+Qd7cvYlbCL54kfA9ABhHvbPfMT6EFLO7LKYGPU0t7T2F6Qe+g70RPdFlrjxCnlM9KSALPG6Yej37dCE9QOHUPY3hBL13i9e8TbhFvV8UOT6fOIuM 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 97gk5varsCL0RjAc9MB+AvcLeIT7pyzs9gGqpPPUhfbxS/m09dEtFPl4N6j3sTIS9BTRovcvdvbymzPs99Z1uPAhj5b2AUd69A6z2vfyWGb7NFN47GGGlvdelx7zvQhC91tdQPuZy6j1G8ye9NK4CPuRbIj2Arls+H334PeUuwb1sF7e8lMMDvsMabT6X0Cy9gtqHvT5Wh718lGW+/YlQvnXgpDyaRIM8sR8qvR8uQ7wH5uk9M0MdPNJQWb2DRsM8UMgbvkYxCj6BvYQ9MR8UvahC/b2Xbgy+JKr6PVd8Fj0e5hG9XvpGvPcR373IJ4G9nMMdvZ1ng70QGvq7SW0BvV6o/j3kYC+87ef/O0sxGD1kkiQ9v0qPPWu40D2hJ/y9P5SXvWzyib0B5yI+qkrEPe2W+r0x+Qm+nIvxvViFh70xHye9kE3RvRagCj2P6FM6pMP/PRgTlT37FAe9CNoePgofUD3zkeY9C8auPU4x/b042Ja9fTQDvp7hjz7XwoM8f4YdveeM 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 +ITzjuzihkzqK8iO96Q8Uvir8ob1uyM+9umgAvjfqXb21OXI8rKjDPc65RD6EWoo9WdNJPmf1oLsgRCW7PeD4PSDNe7wFjWE9laL6vW1Hbz6Xe6a9G6XOvOjzpL2wjEi+DsgCvtvLpDvo0Ry7deCAvLwQNT2LKYi8UCLjPe5X6jwxDBQ+FCFvvnT+NL283vo9AMCwPDZqSb355ai9UDFQPvrzIjzNQhM9rTElvCan2r3isGi9ugwgPQp5Cb0oONk7aIGVO+Otjz3m0ME9nXT5Pfr45T2dQae8qpA3vRzU1z1yaQO+teebPcAqgb1p2RE+YZIHvUOsiTvdJUi9qPEKvt4uRL2lite9AUUJvq/yuLwwgm49BdSJPOtBZT6ufmi7QjAwPtOf/LzHHZG9zOGXPQ0IgbtQQZY8KUoAvlW/iT5F6ne9k+avPCbXEb2YZ/i9eOilvS8+QTv2YIG8UyOXvWCkFD2dmM69UCBbPVrQAj0AgoM9zoVUvq0n1L0fqAU+YT6xu+dM 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 9u5VqPWfnaj19m4S8vwS4vTUVAj5M5Xo703MxvA7bKT1Ydta9PMIPvF9E6jxIFFW9vDc0vbxwtTw1dnG9eC7wPB0SpbsbQd08ZMj6vcvro708f7g9+g4sPWAmF7wBN9m9dZkDPjy1cj2N6i892TegPIgifr15UDg8OlyHOBivKzyUR4Q9nDY4vL84rTwpLwo9nFc/PRXfVz3NbFq8257au7cVWz2uBrk8w6zFPASbBjoEUNY9uW+FPbjh5rsZubQ8XMZuvby3Frw9KaY8zuWmvTC0CbyyBYa9e4mDO2iLQT1wk3Y7BbGyPbgdOT2Lcbi9M7KqPTSJwzzt9NY8SR22vXFmcj1gqJM9HzhIvZXivjwTrQi9cXKVu0s37zuULYC8QuWZvZ1tDL0ewVe8Ui9kPT+KRL1J/jM9S9z/vdTMw72Txos8BgsYvRk/kTxQqUy9i+IGPo3rxj1+Wrq8lucwPaEKUL22Eke93hCDPWNwvDtgb8Y7445uvMWM5LxCrXk7prlwPRJM 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 +Er2PJje9pLKAOkr4DT1UIRS9Fj2VPRgZ4jzqeQM9Tl1gu8h9SbzcQ8C8tcKzvNb8ob0hsWW7+7eovQqAgT04tXS9K4BEvcJzSrzvyUW9gSaRvRmXnD2cMU89Gn5SO/gFFj1Z7qK7MxAQPShCID0HEQm9MHfVvVwNnr3hKJE8OXYnPUcIQr0Bhk69yNYWPOoSJ7w5P4C9/UihvVpUp72TFG+9/MGNvX5pEj0io/M9zYq4PCNSzjwp7rw8z1OrPJPfhTyfw8+8mqtbPLRBkrwNaoo9KqQ8vZJWOL3z3Za8nb8svYwIb737HS28rIlKvYCcBL1gf0a97czOPa/jkD0J3cW8NJ9fPfAtPT1EWqc9rBgkvEhuD7zowbw8T1JmvKGelz1WcjC9GhtCvYGzET2Mz4O9X9OevdCSQb0RjG69ZlWjvey5kzuMBOU8vtroPLyVaLy3tCw9c98uPXAfAj5gBrE7wVi1vblwl72/VYM90jbdPSXmtr1tMJ291BCHPEuQBz0NXUqM 8E//avb4Q072FBRS9T/GuvW7Fdj0UQgk+vbVZvKwNkz0bYIC8HahKvJIfZL33KCa8u1L+vBlgA72v4Jc9bOQDvtlQd7wtpju9rQyEvZyvU73tgJm9PgUQvYRYTL2BDJo9rdMaPTMnjz3vMIE7qg6NPQHivDzB8LI91aSTvSwGbDya1Cm9ypnoOywYgDtHekS907NYvJMuI73UM+G6CC0/vYkC6b26JE+9QNrCvYjgrT1kCj08LajDPdr0DDy6A887UaaSParv9z1e8Q29lbuquwtFnb1O2cU95hHlPSfm1b3osW68HieuvaA5iDvOTwq9WiVMPVlHFjynjum8ETnrvZ5Ikj1cxpk80u8QPbQgr7zyPKq9ANZ+PfXeYr1WwCc9KZCcvDvNtrweCWc9FpGavTLFWr2xGZQ8w7chvSD5ED36c3y8PfnbPAmAPr0l4mE8emLsPLrwTT2mtW49Ur7YurCzGj3B/yk9zx+yvVLYlj3clMK8LGHVO6k+ybt8tgS9F+6cPB8M 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 GgL3buhA9JQLOPRIuCrzO0QC+4lnJPE8FFj14rl68B4mPvGJWPb2wGaQ6+mdkvZ3Pd70u9hM9AipXvD9t2boOdua69SC9vTEokr3I98+9ujuRvVrsoz0yr7M9RTs/PXT+RL2WZ+E6jCQsvT4Kbj1AOiW90wU2vcCcxTxFg8S8/+T0vCKzxD1PZDW8MrpYOwjv3Tm9bby9xKL8vSh4D75KBLE8l3PLvTqYlT2HTw093GCGvd71Aj2ETyA8k+JXOhj7gbvngCS97/+/Oz00gb1F/8s9jiKPvZ+4qb34PZK9wHOfvOKtyb0d1yE9oAl1vVh0072wbP88OkNOPSqYxrzb3CO9E/a1O3v3zTyF5Ck9wbzhPEBSgL1u6Vg9gpqDvQGTL73aTXQ9sIubvc/rL7tul5K9wIQYveICtb0cOxO9Wk0Ovds1AD3FsrY8x6e9POJ6F71J0Cs9IUkwPStymj15gmg8CS+5vS6lir1joS89vJZ1PWQnGT0E3oi9hvERvY5+i7wp3FSM 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 8YCe2udnfYjygKsA8kr+pPYFXLTzjByu91qiGvPxhejyPHsw9I0GoO3NdpLyvqsu8UOStvfaMKT3OzG+90UGCvKcMrDx1epO9lA3ovOqoYL23MrE9mfT9vKP+YbxCj7w8DulwPIm0Ib2vgLg8XdtbvY9Z2Tsr+ko9Xe5+PCPuRb0yatM8ONGYPXj5ljwh8vq8Dg6EPalJUb3859C8PYCCvNZCgT0D+Ng8UOsQvFIoHL1SplM8npoovHrGyrxj2JO75EADvDdkmL1pfoC8YdC/PAqHKDvmPms8WpjoPYjH3bzkK8G8wV+xPGun/Dxdc5W9d+4lPdtDuj04mjW98WpbPJT7Rz3qog49W6xtPTOEO73iFLI9cpDQvMJL9bwCf7c8yGMmvUTcBj3dJeI8xAtbO802Rzs76ou8X5PuvPzGmb2akZk9LTkmveKH5rv6KEa92VjHvJP6vr2hjvG8gzKOvQ9fIryCdAa9zSmePFi0lb2ajV89PRsKPfqAIb27Ow+9gv5kPd5M 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 9dDuKPSsaKL1D4DO9B7nZvcPH1TwAGoM8CD1Guia7+7uOD229PotNvd6Xjj1FdaO8xR2qPE7ilr3J0X+9Kxsivfwsr7zEOyS6YJiTvZWjBT6pSE48h14mvQDA6jbk/8u8L9cuPYlphDyL/++7iZx7vA/eR71kfWK98KOPPV9RYD1s8Vc8GlocPLLX9L14iSs8mD+JvfhV1Dx8P7m88Hm4PdW45Lue6eO9nZjZPDM+V73V7Pc8Bgh5vZ36gLxC+X89PJo5vncTv71uoYE9Wf7sO2BUG7zG9FE88STgvDR3nTwUkjm9AhQQPWNBuzzVros9/t/Yutjzub2gThM8JXWAvUga1Dxgniw9aKMKvSlq/7ymM/68JmFdvVPPiT09fi69J7DmPPfzcL0WJ1K9RTTivRgKGr2S5II8s1ugvYzFrD2PtgG8WpN6vHpnbb3CQiu8IXkAvRpipLzvlVu98P3iPLfcjL11ux09pOOOPThLQTwDb9Q8orRMPCKzEb3EUJc9/pzSvKMM 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 8o7sl7FY8M7eoPML3br17n+m8YyGhvfuyhT28Z+M9liwqPPNJxL1ncMC7Xltgu+YPZrzqlse82By4OazKD7kjWKA8lPIcPBRHer2+uVu9rP/JPGtlFj3uV389N1VCvb/RRr1lWkC9x4XxPaYa0D0rtMi8lIkTvYYeI72q5tg9THWDPHZYpbsILpC9hkHsvQpwlj3KlFK9MMdzvczD9LxZcFw9fEN+vRpVnT27IJa8o5kcvZdr3bzdAaQ7lxKFPVgwV7xoflA8hl14vVAxrT3CTCa9RyRWvWEiwb3j3CS9lN5CPXeGo7zovJG8oDtzPUmTG7xsyKs971IIPQ/1CL54bx27NR7fuzhHejzIdz89h3QNvZKVFj1qATO9wtuZPRWdVL1UJLS8ILauvJzZqDxdRJq73mptPQqyfrwLhre9f02iu0QLkTwGPNw8Y9/XORgFG70VQjK9xHN7PQlQ5j3Cuzm9/18wvR0per1zC589nkIKvbdAeb3jCYS9dbyWvBGBgz3BSRqM 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 tZj1+URY+aL/TPQBeXr2zgTM9ztdPPb5XhzxCKja+6g1ivPWnqjwsbuq9FuoLPRKaVD29ipW9Gv6gPXZZ9r1GRtY96Bf+vK5gIz32Zxe9NSSNvURWDz7dPVw9QHDtPFfciD0N80I9q72dvZjdTb2rade9u/LUvIDeer0Dr2E9LNvqvOlNv71yuPU7yJtPvfmbTz0kZ3u9NZzfPSUMAD0Jaa+7xSO8PQMaGz0Hib673XlJPqgQuD3FUcU64Colvq0P/r1f/dY8JuZovRKngj2cIqu89DDevYiA3DwPV669NFXCvJ66Bb709tU9wbPnPLZsgz3qyKs9zC0ePin54LwBN909+F0SPe7lkj2vSim+yyyHvfsu3T0cHq+94SP4PXcfOT19C9O9KGJ9PTg3E76GbgY+n20Ivt0JjD1bfw49bcwqPC7DAD7/EpQ9jvEFPRx/Fj2du/G7pLelvRSwDL0VJYm9pydRvFJDlr2l1DM7n8EnvVddAr4XfT07FDm9vbEudD3VH6iM 9SFvSPSNb7rxroJU8SSdBPclloT0vtVe9gHPlPY2uXT125hk9BIEFvsZzBL7Gzcw8+PGevCiiQT3uQvY8wb8KvktV67tPmaS9Jgg2PRPgTr5MvqQ9FNAlPXZiUD2Li+o98kc0PhaRl7wzrbY8NFSXPSlOoj3vkJS9IO9pvArGfz1/2Cq961emPQ95AL2GjYu9mVlaPX1Chr2arQw+IHwGvnj1lT3Gyyw8pC6EvW4BDz6/y1g9uroGvf0WlzxnJ5K6W5eyvUzFtL3BCSi9+zb+u6f33bxkK7E7m62TvTFxk70Rk5w8fCS1vWXUlDxAGtO9nsawPGMrGL3CwKa7AQ2OPaFcGz0lvBA8PtsHPsNZMT3C0q+6kkeBveJ9Hb2zcB+9fZnBvHDhrT0qnUo4oMyzvRMkCD1znHi9ZYITvfyh+71+XCk9cYYQvI2CaLw9dg0+N3fKPRBCLb11RUQ95oUfPSHu2TzQ4ci96vFyvagXZj2OIbK9aGFbPT58rjySaEO93X/kPUTM 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 86Z0OvVdH7Dt/3bW8U3AJPfO4HD1cQQC8yIX+PZ6cdb2I1Tw9OOnOvHUh0bwXeQ49s+hjPI899zsbJHu8U0N8PFpi0bviCxI8yFFfvaVtIjqBtJS7hHYdvZw8XzxTQTY9vJJoPXICaL1XizQ9bJCVvZlTQjwckKM7YO/sOrmFpjxoP488xjgEO+ilcr0xxiM6/vcBPcisMr2EL/W7MeWfPfjgNr0OBy69u/B+vdh6yD3A17o9EAo2vVlcC73gFH28mDDsOwtJyL2ekv47mVY8PUqgrT1gGBQ9sVBdPdyeijxWoJK9mvUdPEjZUD3wJ+e6sCOovBX1RTw58jW9ksyxPcpkuj0a/xe94VAfvOzJkbwefIA97B2OuxHoFzuCRAE9NHSRPFggojxz9jo8yI9dvWTAm72wU8i863ssvQDWOT07Yy+9QraBuskRVr0sW8u8a3BCPZUhur2Ny7q7HKw8ve1Xozzs+DG9K6jUPKsRqr0ZPP28HkmIPSAtwbzL36y9VgGFPOnM 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 912PZvMSK0LsSCmY9qamDvY5iybwJAa29fiZpvUUetr0xPaA8KM5MPV7uj7zAzFg9CWIZvcwntz3Voes7fc2GvaPcq7zW07o8r2q6PUomfLxM6Si9uoI3PakuBL0ldeq8UmjUO5ajvr0ZVsC87DqOvZp/sLzmNQc+wutLvD3JprxLG6S9yjyxOiMC1r3/n0E9sLDFu8Zq2Dx3pkU95yPOO7AZ9rx5p++8dxUqvTNtvruMBia8hQvzvJ6FXD0DVNW9XzNfPc0XoD36PRG9h08LvSz91LxAn4c8HWipO1i2Wr38Vaq9ib4MvZtiPD3ydxi771V8PWbUjjxhxCQ+nBO1vdZ4gjwvtgi+g5GMvK4CYr1/JwW9xMzePDNwAr5RAts9avcxvZFYAj0iwbC7OeNyOosTeb1vhKs9YWriPepRJD1lA7k9/U40PcJrlj08PMG8DHntvHqtQ76s/HE8Xc9lvaJ8qjxNBbY9pUFXvV3LlD1jLbK8WtEyvNyz072DymE9IF5KPJSM 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 WerxU/UM+1KW0vYEFOr/5ImI99uMyPpNuW7rl8Y0+2kSgu1f4g73dCeG9q+/HPlcMcT0LPic/MoApPzHeR74XThi97+iavspiA78Qvx6/AJckvwSuFb+xXgw+7hkfv/74xT49awW/BBUvPxZAMD/9wgE/KdMdPw3fAT8BFSY/vp7tPugCED7/CQA/njcbv936BD+rO00+/DYKv3kinr6XcZs+eFGEvVXRvr67bmm+Se6wvkbZED6ib/E+hVD6vC4rnD1lpQo8/v9bPnvFqD4joKQ9lg+Ov/+rk76nQwG/GkC7vkLVEz+xELa+RZFnPwb1yz7rx1G+MsN0PTpe8j4D2GI+QRSnPgxA3b7njyG/AWNfPxt5MT+aTNq+1KGEvi5bQr/piTg+lFYDPxUz1byoUte+lc8xPSOx2zwucRG+pVYVPQ==", "training_traits": {"structure_gen": "Triangle", "n_layers": 8, "max_nodes": 20, "acM tivation_func": "ReLU", "epoch_num": 4}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[M 0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=M map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){retM urn{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadiM us(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class M E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strM okeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(eM [e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){consM t{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(leM t r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,22M 2.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428M .699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0M ,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertexM (66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3M ),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,44M 9,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,45M 9.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46M .8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVerM tex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,37M 3.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,6M 9.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,19M 8.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,1M 68.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.M 599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,M 112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151M .599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVerteM x(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(M 256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,M 149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8M ,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVerM tex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.M 9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1)M ,e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,15M 0.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.4M 99),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,1M 39.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,M 125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,2M 08.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.M 3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),eM .bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(M 338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,3M 52,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.M 299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.29M 9),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===M e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1=M =t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=M 0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(rM .mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offsetM =t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t)M {if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[eM ],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"M tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const M c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.M height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return thM is.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",M this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+tM .levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.leM ngth>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),M t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("inM put");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==tyM peof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=functiM on(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\M //.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="M 5";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async functionM setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.traM ining_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","M #2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","M #d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("M #inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}funcM tion Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,M ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1=M ==yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),M vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFoM nt("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=M 40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==WM t.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(M ...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)M /2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)ptM .push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0M ;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}funcM tion Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>eM .length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let M t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<M en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){eM t.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,heigM ht/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.backgrM ound(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,oM ]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeighM t(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("TreM buchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image M belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPEM NDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370M *le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.M `),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,heigM ht/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.texM tWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWM idth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le)M ,qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALEM :","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(datM a[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.M textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.M text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){M let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(eM ,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}funcM tion mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<M =3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state oM f Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neuM rons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCaM nvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["M Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D ],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,DataM set:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rL ayId":"7b450ef15fc7a1e7","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx pppV[cIS`CI[<DQ;?M9?Jz {oEO`XXZQTZ@JXVVV3=LFFFAAA+5A36?\[5YW1 lr~any]iwS[jNNNKKK@EK.6H2<F8;D111 xxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxf xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx j xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxx 0 si_nw8vlblaWjs3s}>@0 xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxxxxxx T|sQ`jChhSsgH_f8PeUi_MeTAOA6P= xxxxxxxxxxxxxxxxxxxxxx uuDarSDrxTdPfYB\V=OAhb? xxxxxxxxxxxxxxxxxxxxxxxxxxV RRRyyy```XXX,,,tttLLL555oooiiiEEE xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxx uvwlll___wS?F_8SSS\uNHHHMf>9R, xxxxxxxxxxxxxxxxxxxxxx cp{T|scyiSsg[yf8PeFZZMeT>^RPPNAOA6P= x]ntFio``mT`mAhaTh["9Q ~qaXs`Tm[R\>.K3)S2 E+ md xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxxx lr~[evkntGSaFO`@JX8>J#*; ntzbkv]anX`mUYbCH\2>L@EK2<F8;D/5@*3@!#* gn{anzjmxikqT\kIS]AK\INWORR68@698 xMre@]S5IC/3;%30*&-$"(! xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx 0( CR-VK5YI!%C0A!RriRme&ON(2(-9$ xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxx; mr|dmy_dpX_lUYeBI\-6F7:B$*<#%0 U`kOYeRWdGT`FO`@JWNRU9AP<AM3=L)/?(.:687 \fwX`qdddUX`RS[>ER8>J2<F/5@*3@%,9!$.#$' mt~rwv`kv]`jPT^JR^ACK xxxxxxxxxxxxxxxxxx^xxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx [^]U[eLSH0SUYLbQLRQ=i xxxxxxxxxxxxxxxxxxxxxxxxK mrzThxMmtYcsX`kUYbAJY4;F.5C ^epY_nQXdISaQT\MQW(.?'.:$*: ou~YfwkothktEO`3=L*3@68< xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxV alqaXs`Tm[RaLCYD:R;1\>.K3)S2 E+M xxxxxxxxxxxxxxxxxxxxxxx RkCaaaRRR\uNWpIMf>1119R,{{{WWW@Z3 xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx Ql~`nvT|s]cmUakcyi8PeUi_B^VMeM xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxx p[z]8uY5o_MoU3jP0ygUdUEbJ- xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxxxxxxxw^ xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx zzzjjjdddLLLEEE222ZY3GF xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx {`nvT|s]cmUak8PeWxdUi_B^VMeTPPNAOA zg|vFioQoiAhaFV^"9Q>^N4OA9Q9 xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxx; K&ooojjj[[[NNN|||III xxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx?f^( ntybnykouU`k@IX:>L8>J(.: lq~[buX`qS[jNXdFO`2>L-6F+5@"(6 gkw^iwikqafp^co]`jLRZINWORRAFK05?'-?698!$."$) xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxx ```XXXtttLLL,,,oooiiiEEE|||xxx xxxxxxxxxxxxxxxxxxxxxxx =(\RRR///```WWWL<$J@ xxxxxxxxxxxxxxxxxxxx[ o`8]55G EEEWWW{mFwiA666j\4@@@0 ooo xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxxM xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx ouzV_kBJ\<AP=AL3<K*5E!$, knt^bmUZbEO`IR_RT[@IX=DS(.?(.: lr~anyglx]iw^frR[jUXfKNV:CP.6H)1E8;D/5@+1? ikqYcqKVcPT^NTUAFK3=F68@*4@698 xxxxxxxxxxxxxxxxxxx; xT|sKll8PeWxdGe^AOA6P= xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxx[ xknuTZgKWcRT]IQ]7=JmVI1:G)1?'.: XaqY`mRWdEO`@JXr`V=ESgTK;?K687 xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx n```XXX;;;555---{{{{d{m[yppp[[nLLLiii ][`dbhQNTZX]XV[VTZspxigmpnumkrxu~vs{ xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxx XXX999///vvvFFFQQQ@@@ ;0KC>^UHlbW{q:9A<;Ce HEEEhhha`:222SQ+MK%GF j|tWclayiJ`gYYYKcU===111 xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxxxxx x`nvT|s]cmUakcyi[yfTlf8PeAOA6P= xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxx text/plain;charset=utf-8 xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx pv{cnzQ|sRme|=S@EK.6Hw;G8;D xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx K&zzzoooXXXLLLEEE??? xxxxxxxxxxxxxxxxxxxx[ cnykotX`qY`mV`lBJ\@JXNRT=AP2>L36?$*: kp}]iwhjr_fqV]kNXdUYbEN`QT^RS[:?N-6F ^coQVcFS^EIYAFK29J698 [^`RSeLSXGRJ7MUYLfa<: q[WO[GN[?N[9M[-M[*Ma xxxxxxxxxxxxxxxxxxxxxx i|v`nvmzr]cmTlfH_f8PeWxdGe^QhTPPPDDDAOA6PM kozV_kUYdQT\;?L)1E#&0 ls|ZbuY`mBJ\=DR=AL)/?'-;$*:$(4!$, jmu_dpRWd@IXMRU3=L9>J+4B any]iw[esR[jNXdIPaDP`.6H2<F8;D/5@"(6 pvyelxikqWapHUcIS]AFK68@+1?698 xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx }}}vvv___WWW888MK% [^\\\XX\XGX?3WJ7MUYLbQLWGF xxxxxxxxxxxxxxxxxxxxxxxxK _dnQS\=ER9AP=AL-5?oa:'.:$*: ntybmykothktX`qVYe=APvhA68<Z33 ]iwU_jS[jEN`LRZ)0FzlE8;DM%% xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx o[MO[GN[?N[9M[-M[*Ma xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxx^L@xxxxxxxxxxxxxxxxxxxxxM? xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx ms|YdtV_kSWdRT\;AP$+:#&0 lqybny^gtimr_cmY`mOXdEO`BJ\@JX.6H.5A*3@'->(.: lo}ZauTZhVZbGUaJQ`>ER2>L2<F8;D HT;DSORRAFK).C68@698 xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxxx[ mr~Zauknt_cmTXeUYbIR_EO_@JX=ES,5F ntzanyflxZdtXaqU_jR[jMQT9@O2>L29J tNrdCbV9PF0C;>78935A<<'4-GCBJFEQNNYVV_\[ea`F>?5-,+'(qnm rA2A=<FBATH:MjY`|kxgS {xxxmmmjjj}`iWmc 2OFFF!#A xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx $aTE0+&#&.<4+($ E=3OE: Wq|]lx]cmVajayiN_e;Ie@^Si T|sUkg8PeWxdDddPe[AOA6P= xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxx; ils^epY`p)3E7:B$(4!$, xUYfDO`BJ\@JX=ES3=L:>K.6H$*: mq}jp{lry]iwUYbGUaJQ`8>J2<F/5@*3@)0?'->"(6 OKEEE???:::{{{www111 text/plain;charset=utf-8 4{ "p": "sns", "op": "reg", "name": "razorpay.sats" }h! xxxxxxxxxxxxxxxxxxxxxxxxK O666...iiiaaam_adSXLLLEEE???::: xxxxxxxxxxxxxxxxxxxxxxxxxxxx [^\BTeLSH0SiPMUYL777i xxxxxxxxxxxxxxxxxxxx[ text/plain;charset=utf-8 xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 0d/Foundry USA Pool #dropgold/ Bj@=:ETH.ETH:0xA9dF18CD2AAC4ba9789159dD384eB894B356c002:32860399::0 text/plain;charset=utf-8 %First Million Ordinals Group (OG) #11h! text/plain;charset=utf-8 %First Million Ordinals Group (OG) #12h! text/plain;charset=utf-8 )Lucky Satoshi: 980k Ordinals text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 sMuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu sMuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> FjDOUT:F9E206CE130F4C2401A7DEA1BD130774A43BB0B4390DE87CF151DB17DAA3E361 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz &'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz text/plain;charset=utf-8 @{"p":"brc-20","op":"deploy","tick":" ","max":"100","lim":"1"}h! text/plain;charset=utf-8 "name": "ttxx.sats" text/plain;charset=utf-8 "name": "ttzz.sats" text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" text/plain;charset=utf-8 "name": "ttyy.sats" text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 ){"op":"reg","p":"sns","name":"vole.sats"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! Compressed by jpeg-recompress text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! 0d/Foundry USA Pool #dropgold/ FjDOUT:BFDEF51C166E7BAB1EB7FB6B107BF6A3CE023202CF2C370F06336D5A6B427848 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! FjDOUT:30473961B0D2FF6B3EF0EF10DC97714A8E08CB213DCC710C5798EE0AAB63442C FjDOUT:2D9556A600F9E64B12C0E55D539A219B28241EC9E46EFEDD5BB98E3DC203BD33 text/html;charset=utf-8 <?xml version='1.0' encoding='UTF-8' ?> <!DOCTYPE html PUBLIC '-//W3C//DTD XHTML 1.0 Strict//EN' 'http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd'> <html xmlns='http://www.w3.org/1999/xhtml' lang='en' xml:lang='en'> <title>jp2a converted image</title> <style type='text/css'> background-color: black; font-family: Courier; font-weight: bold; <div class='ascii'><pre> <span style='color:#000000;'> </span><span style='color:#01943M </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> ><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style=M </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#00000M </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><br/><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> /span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> tyle='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#M </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> /span><span style='color:#000000;'> </span><br/><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> pan style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='coM </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'M </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><br/><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> an><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000M </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> an><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><br/><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='colorM </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><br/><span style='color:#000000;'> <span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='M </span><span style='color:#6e0f0f;'> </span><span style='color:#000000;'> </span><span style='color:#6e0f0f;'> </span><span style='color:#000000;'> </span><span style='color:#6e0f0f;'> </span><span style='color:#000000;'> </span><span style='color:#6e0f0f;'> </span><span style='color:#000000;'> </span><span style='color:#6e0f0f;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#6e0f0f;'> </span><span style='color:#000000M </span><span style='color:#6e0f0f;'> </span><span style='color:#000000;'> </span><span style='color:#6e0f0f;'> </span><span style='color:#000000;'> </span><span style='color:#6e0f0f;'> </span><span style='color:#000000;'> </span><span style='color:#6e0f0f;'> </span><span style='color:#000000;'> </span><span style='color:#6e0f0f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> <span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><br/><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> yle='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#6e0f0f;'> </span><span style='color:#000000;'> </span><span style='color:#6e0f0f;'> </span><span style='color:#000000;'> </span><span style='color:#6M </span><span style='color:#000000;'> </span><span style='color:#6e0f0f;'> </span><span style='color:#000000;'> </span><span style='color:#6e0f0f;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#6e0f0f;'> </span><span style='color:#000000;'> </span><span style='color:#6e0f0f;'> </span><span style='color:#000000;'> </span><span style='color:#6e0f0f;'> </span><span style='color:#000000;'> </span><span style='color:#6e0f0f;'> span><span style='color:#000000;'> </span><span style='color:#6e0f0f;'> </span><span style='color:#000000;'> </span><span style='color:#6e0f0f;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> yle='color:#01943f;'> </span><span style='color:#000000;'> </span><br/><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='colM </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'>M </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> an style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><br/><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#0000M </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> n><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><br/><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:M </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#38a767;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><br/><span style='cM </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;M </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#2e1d08;'> </span><span style='color:#000000;'> </span><span style='color:#2e1d08;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#2e1d08;'> </span><span style='color:#000000;'> </span><span style='color:#2e1d08;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='cM </span><span style='color:#000000;'> </span><span style='color:#6fb98e;'>B</span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><br/><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#0194M </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#ae8b61;'>B</span><span style='color:#000000;'> <span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#925712;'> </span><span style='color:#000000;'> </span><span style='color:#925712;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#ae8b61;'>B</span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='coM </span><span style='color:#000000;'> </span><span style='color:#925712;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#6fb98e;'>B</span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><br/><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> ><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#ae8b61;'>B</span><span style='color:#000000;'> </span><span style='color:#ae8b61;'>B</span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#643b0a;'> </span><span style='color:#000000;'> </span><span style='color:#643b0a;'> </span><span style='colM </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#ae8b61;'>B</span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#643b0a;'> </span><span style='color:#000000;'> </span><span style='color:#643b0a;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#6fb98e;'>B</span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><br/><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> pan style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#806d13;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='coM </span><span style='color:#ae8b61;'>B</span><span style='color:#000000;'> </span><span style='color:#ae8b61;'>B</span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#ae8b61;'>B</span><span style='color:#000000;'> </span><span style='color:#ae8b61;'>B</span><span style='color:#000000;'> an><span style='color:#ae8b61;'>B</span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#6fb98e;'>B</span><span style='cM </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><br/><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#00M </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#806d13;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#ae8b61;'>B</span><span style='color:#000000;'> </span><span style='color:#ae8b61;'>B</span><span style='color:#000000;'> </span><span style='color:#ae8b61;'>B</span><sM pan style='color:#000000;'> </span><span style='color:#ae8b61;'>B</span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#ae8b61;'>B</span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#ae8b61;'>B</span><span style='color:#000000;'> </span><span style='color:#ae8b61;'>B</span><span style='color:#000M </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#6fb98e;'>B</span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><br/><span style='color:#000000;'> /span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> tyle='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#ae8b61;'>B</span><span style='color:#000000;'> </span><span style='color:#927552;'> </span><span style='color:#000000;'> </span><span style='color:#aa7d47;'>B</span><span style='color:#000000;'> </span><span style='color:#aa7d47;'>B</span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#aa7d47;'>B</span><span style='color:#000000;'M </span><span style='color:#533716;'> </span><span style='color:#000000;'> </span><span style='color:#533716;'> </span><span style='color:#000000;'> </span><span style='color:#aa7d47;'>B</span><span style='color:#000000;'> </span><span style='color:#aa7d47;'>B</span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> style='color:#000000;'> </span><span style='color:#38a767;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><br/><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='cM </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#aa7d47;'>B</span><span style='color:#000000;'> </span><span style='color:#8e6738;'>M </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#533716;'> an style='color:#000000;'> </span><span style='color:#533716;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='colM </span><span style='color:#000000;'> </span><br/><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#0194M </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#533716;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> n><span style='color:#000000;'> </span><span style='color:#d3b796;'>B</span><span style='color:#000000;'> </span><span style='color:#533716;'> </span><span style='color:#000000;'> </span><span style='color:#533716;'> </span><span style='color:#000000;'> </span><span style='color:#636363;'> </span><span style='color:#000000;'> </span><span style='color:#636363;'> </span><span style='color:#000000;'> </span><span style='color:#636363;'> </span><span style='color:#000000;'> </span><span style='M </span><span style='color:#000000;'> </span><span style='color:#636363;'> </span><span style='color:#000000;'> </span><span style='color:#712e13;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><br/><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#0M </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#d3b796;'>B</span><span style='color:#000000;'> </span><span style='color:#533716;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#636363;'> </span><span style='color:#000000;'> </span><span style='color:#636363;'> </span><span style='color:#000000;'> </span><span style='color:#636363;'> </span><span style='color:#000000;'> </span><span style='color:#636363;'> </span><span style='color:#000000;'> </span><span style='color:#636363;'> </span><span style='color:#000000;'> </span><span style='color:#712e13;'> </span><span style='color:#000M </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><br/><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#533716;'> </span><span style='color:#000000;'> </span><span style='color:#533716;'> </span><span style='colorM </span><span style='color:#533716;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><br/><span style='color:#000000M </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> <span style='color:#000000;'> </span><span style='color:#533716;'> </span><span style='color:#000000;'> </span><span style='color:#533716;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='M </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#01943fM </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><br/><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> yle='color:#533716;'> </span><span style='color:#000000;'> </span><span style='color:#533716;'> </span><span style='color:#000000;'> </span><span style='color:#533716;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#aM </span><span style='color:#000000;'> </span><span style='color:#a66e2c;'> </span><span style='color:#000000;'> </span><span style='color:#533716;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><br/><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> an style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#ae8b61;'>B</span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#574631;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='colorM </span><span style='color:#000000;'> </span><span style='color:#533716;'> </span><span style='color:#000000;'> </span><span style='color:#533716;'> </span><span style='color:#000000;'> </span><span style='color:#533716;'> </span><span style='color:#000000;'> </span><span style='color:#533716;'> </span><span style='color:#000000;'> </span><span style='color:#533716;'> </span><span style='color:#000000;'> </span><span style='color:#014a20;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><br/><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> <span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='M </span><span style='color:#ae8b61;'>B</span><span style='color:#000000;'> </span><span style='color:#ae8b61;'>B</span><span style='color:#000000;'> </span><span style='color:#ae8b61;'>B</span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> </span><span style='color:#01943f;'> </span><span style='color:#000000;'> text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! KjISWAPTX:0x039e53e6ce4728f1938e8b17db5dcb266b1f179782fe274c187959809e5fa40f JjH=:BCH.BCH:bitcoincash:qpe9meg0zc8w367p5f422tt5w2v6zh9s9cxz0f0a24::wr:100yV FjDOUT:6C1CEFE11956DB4BD4E23AB829C694D1C1EDBBEDE7FAC2BD92C934B45FDBB178 FjDOUT:5DBE339A5BF51538D677B2132DE55A671B2F669FC110F1C16161168FBF00785A FjDOUT:1D8F926F7C0F376255A258367F77184E22916A0E9D7492C35FAEC6D61F9D756A FjDOUT:04AED776082988282F285D342CFC88845025122786DCAE69E1F8264CBE489BB7 Aj?=:ETH.ETH:0x4c5313649463ae029ff4782eaC29dF7482B97cA6:1853050::0 Aj?=:ETH.ETH:0x8815047234497a2372235BC63fea0d3405C85232:8427858::0 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"BTCB","amt":"3"}h! JjH=:BNB.BUSD-BD1:bnb1qzqdxm9wlavk7zgkruz72pnvk4d6g9p9kskxlr:62127399987::0 DjB=:BNB.BNB:bnb1w8tnlyvaau097g0uzzd44fm7pc6nx7n6g3lkzq:13212249:te:0 DjB=:BNB.BNB:bnb1j94frpxv0nwaghajf503959cuvhl4s67xzpmrf:34162238:te:0 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! <?xml version="1.0" encoding="UTF-8"?><svg viewBox="-5 -5 120 120" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><title>SAT 3930503078312</title><desc>collectibles.nullish.org</desc><style>.t { font-family: Courier New; font-size: 2px; } .a {font-family: Courier New; font-size: 5px; font-weight: 400; }</style> <defs> <filter id="a"> <feFlood flood-color="black"/> <feComposite in2="SourceGraphic" operator="out"/> <feGaussianBlur stdDeviation="1"/> <feComposite in2="SourceGraphic" operM ator="atop"/> </filter> <linearGradient id="e" x2="0" y2="122"> <stop stop-color="#db9300" offset="0"/> <stop stop-color="#a26d00" offset=".4"/> </linearGradient> </defs> <circle cx="55" cy="55" r="52" fill="#fecb00" filter="url(#a)"/> <circle cx="55" cy="55" r="43.5" fill="url(#e)"/> <circle cx="55" cy="55" r="43" fill="#db9300" filter="url(#a)"/> <path id="g" d="m7 55a48 48 0 1 0 96 0 48 48 0 1 0-96 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath startOffset="25%" font-family="Courier New" foM nt-size="2.5px" font-weight="400" xlink:href="#g" xml:space="preserve">The Times 03/Jan/2009 Chancellor on brink of second bailout for banks</textPath></text> <path id="f" d="m9 50a46 46.5 0 0 1 91.5 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath class="a" startOffset="50%" xlink:href="#f" xml:space="preserve">BLOCK 786 SAT 3930503078312 JANUARY 2009</textPath></text> <g transform="scale(0.05)translate(800,600)" fill="#db9300" filter="drop-shadow(0px 15px 0px rgb(0 0 0 / 0.4))"> <path d="MM 642.5 635c0 50.6-16.8 97.4-44.9 135-12.9 17-28 32.2-45.1 45.1-26.2 19.6-56.8 33.7-90 40.4-14.5 3-29.6 4.5-45 4.5v90h-90v-90h-45v90h-90v-90h-135v-90h360c15.8 0 30.9-2.7 45-7.7 52.4-18.5 90-68.5 90-127.3s-37.6-108.8-90-127.3c-14.1-5-29.2-7.7-45-7.7h-315V230h-45v-90h135V50h90v90h45V50h90v95.7c15.9 4.1 31 10.4 45 18.5 27.3 15.8 50.1 38.6 65.9 65.9 15.4 26.5 24.1 57.2 24.1 90h-90c0-33.3-18.1-62.4-45-77.9-13.2-7.7-28.6-12.1-45-12.1h-180v180h225c15.4 0 30.5 1.5 45 4.5 18 3.7 35.1 9.5 51.3 17.1 13.8 6.5 26.7 14.3 38.8 23.3LV 17 12.9 32.2 28 45.1 45.1 28 37.5 44.8 84.3 44.8 134.9z" fill="#fecb00"/> </g> </svg>h! <?xml version="1.0" encoding="UTF-8"?><svg viewBox="-5 -5 120 120" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><title>SAT 3930503077512</title><desc>collectibles.nullish.org</desc><style>.t { font-family: Courier New; font-size: 2px; } .a {font-family: Courier New; font-size: 5px; font-weight: 400; }</style> <defs> <filter id="a"> <feFlood flood-color="black"/> <feComposite in2="SourceGraphic" operator="out"/> <feGaussianBlur stdDeviation="1"/> <feComposite in2="SourceGraphic" operM ator="atop"/> </filter> <linearGradient id="e" x2="0" y2="122"> <stop stop-color="#db9300" offset="0"/> <stop stop-color="#a26d00" offset=".4"/> </linearGradient> </defs> <circle cx="55" cy="55" r="52" fill="#fecb00" filter="url(#a)"/> <circle cx="55" cy="55" r="43.5" fill="url(#e)"/> <circle cx="55" cy="55" r="43" fill="#db9300" filter="url(#a)"/> <path id="g" d="m7 55a48 48 0 1 0 96 0 48 48 0 1 0-96 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath startOffset="25%" font-family="Courier New" foM nt-size="2.5px" font-weight="400" xlink:href="#g" xml:space="preserve">The Times 03/Jan/2009 Chancellor on brink of second bailout for banks</textPath></text> <path id="f" d="m9 50a46 46.5 0 0 1 91.5 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath class="a" startOffset="50%" xlink:href="#f" xml:space="preserve">BLOCK 786 SAT 3930503077512 JANUARY 2009</textPath></text> <g transform="scale(0.05)translate(800,600)" fill="#db9300" filter="drop-shadow(0px 15px 0px rgb(0 0 0 / 0.4))"> <path d="MM 642.5 635c0 50.6-16.8 97.4-44.9 135-12.9 17-28 32.2-45.1 45.1-26.2 19.6-56.8 33.7-90 40.4-14.5 3-29.6 4.5-45 4.5v90h-90v-90h-45v90h-90v-90h-135v-90h360c15.8 0 30.9-2.7 45-7.7 52.4-18.5 90-68.5 90-127.3s-37.6-108.8-90-127.3c-14.1-5-29.2-7.7-45-7.7h-315V230h-45v-90h135V50h90v90h45V50h90v95.7c15.9 4.1 31 10.4 45 18.5 27.3 15.8 50.1 38.6 65.9 65.9 15.4 26.5 24.1 57.2 24.1 90h-90c0-33.3-18.1-62.4-45-77.9-13.2-7.7-28.6-12.1-45-12.1h-180v180h225c15.4 0 30.5 1.5 45 4.5 18 3.7 35.1 9.5 51.3 17.1 13.8 6.5 26.7 14.3 38.8 23.3LV 17 12.9 32.2 28 45.1 45.1 28 37.5 44.8 84.3 44.8 134.9z" fill="#fecb00"/> </g> </svg>h! <?xml version="1.0" encoding="UTF-8"?><svg viewBox="-5 -5 120 120" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><title>SAT 3930503078212</title><desc>collectibles.nullish.org</desc><style>.t { font-family: Courier New; font-size: 2px; } .a {font-family: Courier New; font-size: 5px; font-weight: 400; }</style> <defs> <filter id="a"> <feFlood flood-color="black"/> <feComposite in2="SourceGraphic" operator="out"/> <feGaussianBlur stdDeviation="1"/> <feComposite in2="SourceGraphic" operM ator="atop"/> </filter> <linearGradient id="e" x2="0" y2="122"> <stop stop-color="#db9300" offset="0"/> <stop stop-color="#a26d00" offset=".4"/> </linearGradient> </defs> <circle cx="55" cy="55" r="52" fill="#fecb00" filter="url(#a)"/> <circle cx="55" cy="55" r="43.5" fill="url(#e)"/> <circle cx="55" cy="55" r="43" fill="#db9300" filter="url(#a)"/> <path id="g" d="m7 55a48 48 0 1 0 96 0 48 48 0 1 0-96 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath startOffset="25%" font-family="Courier New" foM nt-size="2.5px" font-weight="400" xlink:href="#g" xml:space="preserve">The Times 03/Jan/2009 Chancellor on brink of second bailout for banks</textPath></text> <path id="f" d="m9 50a46 46.5 0 0 1 91.5 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath class="a" startOffset="50%" xlink:href="#f" xml:space="preserve">BLOCK 786 SAT 3930503078212 JANUARY 2009</textPath></text> <g transform="scale(0.05)translate(800,600)" fill="#db9300" filter="drop-shadow(0px 15px 0px rgb(0 0 0 / 0.4))"> <path d="MM 642.5 635c0 50.6-16.8 97.4-44.9 135-12.9 17-28 32.2-45.1 45.1-26.2 19.6-56.8 33.7-90 40.4-14.5 3-29.6 4.5-45 4.5v90h-90v-90h-45v90h-90v-90h-135v-90h360c15.8 0 30.9-2.7 45-7.7 52.4-18.5 90-68.5 90-127.3s-37.6-108.8-90-127.3c-14.1-5-29.2-7.7-45-7.7h-315V230h-45v-90h135V50h90v90h45V50h90v95.7c15.9 4.1 31 10.4 45 18.5 27.3 15.8 50.1 38.6 65.9 65.9 15.4 26.5 24.1 57.2 24.1 90h-90c0-33.3-18.1-62.4-45-77.9-13.2-7.7-28.6-12.1-45-12.1h-180v180h225c15.4 0 30.5 1.5 45 4.5 18 3.7 35.1 9.5 51.3 17.1 13.8 6.5 26.7 14.3 38.8 23.3LV 17 12.9 32.2 28 45.1 45.1 28 37.5 44.8 84.3 44.8 134.9z" fill="#fecb00"/> </g> </svg>h! <?xml version="1.0" encoding="UTF-8"?><svg viewBox="-5 -5 120 120" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><title>SAT 3930503076815</title><desc>collectibles.nullish.org</desc><style>.t { font-family: Courier New; font-size: 2px; } .a {font-family: Courier New; font-size: 5px; font-weight: 400; }</style> <defs> <filter id="a"> <feFlood flood-color="black"/> <feComposite in2="SourceGraphic" operator="out"/> <feGaussianBlur stdDeviation="1"/> <feComposite in2="SourceGraphic" operM ator="atop"/> </filter> <linearGradient id="e" x2="0" y2="122"> <stop stop-color="#db9300" offset="0"/> <stop stop-color="#a26d00" offset=".4"/> </linearGradient> </defs> <circle cx="55" cy="55" r="52" fill="#fecb00" filter="url(#a)"/> <circle cx="55" cy="55" r="43.5" fill="url(#e)"/> <circle cx="55" cy="55" r="43" fill="#db9300" filter="url(#a)"/> <path id="g" d="m7 55a48 48 0 1 0 96 0 48 48 0 1 0-96 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath startOffset="25%" font-family="Courier New" foM nt-size="2.5px" font-weight="400" xlink:href="#g" xml:space="preserve">The Times 03/Jan/2009 Chancellor on brink of second bailout for banks</textPath></text> <path id="f" d="m9 50a46 46.5 0 0 1 91.5 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath class="a" startOffset="50%" xlink:href="#f" xml:space="preserve">BLOCK 786 SAT 3930503076815 JANUARY 2009</textPath></text> <g transform="scale(0.05)translate(800,600)" fill="#db9300" filter="drop-shadow(0px 15px 0px rgb(0 0 0 / 0.4))"> <path d="MM 642.5 635c0 50.6-16.8 97.4-44.9 135-12.9 17-28 32.2-45.1 45.1-26.2 19.6-56.8 33.7-90 40.4-14.5 3-29.6 4.5-45 4.5v90h-90v-90h-45v90h-90v-90h-135v-90h360c15.8 0 30.9-2.7 45-7.7 52.4-18.5 90-68.5 90-127.3s-37.6-108.8-90-127.3c-14.1-5-29.2-7.7-45-7.7h-315V230h-45v-90h135V50h90v90h45V50h90v95.7c15.9 4.1 31 10.4 45 18.5 27.3 15.8 50.1 38.6 65.9 65.9 15.4 26.5 24.1 57.2 24.1 90h-90c0-33.3-18.1-62.4-45-77.9-13.2-7.7-28.6-12.1-45-12.1h-180v180h225c15.4 0 30.5 1.5 45 4.5 18 3.7 35.1 9.5 51.3 17.1 13.8 6.5 26.7 14.3 38.8 23.3LV 17 12.9 32.2 28 45.1 45.1 28 37.5 44.8 84.3 44.8 134.9z" fill="#fecb00"/> </g> </svg>h! <?xml version="1.0" encoding="UTF-8"?><svg viewBox="-5 -5 120 120" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><title>SAT 3930503078512</title><desc>collectibles.nullish.org</desc><style>.t { font-family: Courier New; font-size: 2px; } .a {font-family: Courier New; font-size: 5px; font-weight: 400; }</style> <defs> <filter id="a"> <feFlood flood-color="black"/> <feComposite in2="SourceGraphic" operator="out"/> <feGaussianBlur stdDeviation="1"/> <feComposite in2="SourceGraphic" operM ator="atop"/> </filter> <linearGradient id="e" x2="0" y2="122"> <stop stop-color="#db9300" offset="0"/> <stop stop-color="#a26d00" offset=".4"/> </linearGradient> </defs> <circle cx="55" cy="55" r="52" fill="#fecb00" filter="url(#a)"/> <circle cx="55" cy="55" r="43.5" fill="url(#e)"/> <circle cx="55" cy="55" r="43" fill="#db9300" filter="url(#a)"/> <path id="g" d="m7 55a48 48 0 1 0 96 0 48 48 0 1 0-96 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath startOffset="25%" font-family="Courier New" foM nt-size="2.5px" font-weight="400" xlink:href="#g" xml:space="preserve">The Times 03/Jan/2009 Chancellor on brink of second bailout for banks</textPath></text> <path id="f" d="m9 50a46 46.5 0 0 1 91.5 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath class="a" startOffset="50%" xlink:href="#f" xml:space="preserve">BLOCK 786 SAT 3930503078512 JANUARY 2009</textPath></text> <g transform="scale(0.05)translate(800,600)" fill="#db9300" filter="drop-shadow(0px 15px 0px rgb(0 0 0 / 0.4))"> <path d="MM 642.5 635c0 50.6-16.8 97.4-44.9 135-12.9 17-28 32.2-45.1 45.1-26.2 19.6-56.8 33.7-90 40.4-14.5 3-29.6 4.5-45 4.5v90h-90v-90h-45v90h-90v-90h-135v-90h360c15.8 0 30.9-2.7 45-7.7 52.4-18.5 90-68.5 90-127.3s-37.6-108.8-90-127.3c-14.1-5-29.2-7.7-45-7.7h-315V230h-45v-90h135V50h90v90h45V50h90v95.7c15.9 4.1 31 10.4 45 18.5 27.3 15.8 50.1 38.6 65.9 65.9 15.4 26.5 24.1 57.2 24.1 90h-90c0-33.3-18.1-62.4-45-77.9-13.2-7.7-28.6-12.1-45-12.1h-180v180h225c15.4 0 30.5 1.5 45 4.5 18 3.7 35.1 9.5 51.3 17.1 13.8 6.5 26.7 14.3 38.8 23.3LV 17 12.9 32.2 28 45.1 45.1 28 37.5 44.8 84.3 44.8 134.9z" fill="#fecb00"/> </g> </svg>h! <?xml version="1.0" encoding="UTF-8"?><svg viewBox="-5 -5 120 120" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><title>SAT 3930503077312</title><desc>collectibles.nullish.org</desc><style>.t { font-family: Courier New; font-size: 2px; } .a {font-family: Courier New; font-size: 5px; font-weight: 400; }</style> <defs> <filter id="a"> <feFlood flood-color="black"/> <feComposite in2="SourceGraphic" operator="out"/> <feGaussianBlur stdDeviation="1"/> <feComposite in2="SourceGraphic" operM ator="atop"/> </filter> <linearGradient id="e" x2="0" y2="122"> <stop stop-color="#db9300" offset="0"/> <stop stop-color="#a26d00" offset=".4"/> </linearGradient> </defs> <circle cx="55" cy="55" r="52" fill="#fecb00" filter="url(#a)"/> <circle cx="55" cy="55" r="43.5" fill="url(#e)"/> <circle cx="55" cy="55" r="43" fill="#db9300" filter="url(#a)"/> <path id="g" d="m7 55a48 48 0 1 0 96 0 48 48 0 1 0-96 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath startOffset="25%" font-family="Courier New" foM nt-size="2.5px" font-weight="400" xlink:href="#g" xml:space="preserve">The Times 03/Jan/2009 Chancellor on brink of second bailout for banks</textPath></text> <path id="f" d="m9 50a46 46.5 0 0 1 91.5 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath class="a" startOffset="50%" xlink:href="#f" xml:space="preserve">BLOCK 786 SAT 3930503077312 JANUARY 2009</textPath></text> <g transform="scale(0.05)translate(800,600)" fill="#db9300" filter="drop-shadow(0px 15px 0px rgb(0 0 0 / 0.4))"> <path d="MM 642.5 635c0 50.6-16.8 97.4-44.9 135-12.9 17-28 32.2-45.1 45.1-26.2 19.6-56.8 33.7-90 40.4-14.5 3-29.6 4.5-45 4.5v90h-90v-90h-45v90h-90v-90h-135v-90h360c15.8 0 30.9-2.7 45-7.7 52.4-18.5 90-68.5 90-127.3s-37.6-108.8-90-127.3c-14.1-5-29.2-7.7-45-7.7h-315V230h-45v-90h135V50h90v90h45V50h90v95.7c15.9 4.1 31 10.4 45 18.5 27.3 15.8 50.1 38.6 65.9 65.9 15.4 26.5 24.1 57.2 24.1 90h-90c0-33.3-18.1-62.4-45-77.9-13.2-7.7-28.6-12.1-45-12.1h-180v180h225c15.4 0 30.5 1.5 45 4.5 18 3.7 35.1 9.5 51.3 17.1 13.8 6.5 26.7 14.3 38.8 23.3LV 17 12.9 32.2 28 45.1 45.1 28 37.5 44.8 84.3 44.8 134.9z" fill="#fecb00"/> </g> </svg>h! <?xml version="1.0" encoding="UTF-8"?><svg viewBox="-5 -5 120 120" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><title>SAT 3930503077412</title><desc>collectibles.nullish.org</desc><style>.t { font-family: Courier New; font-size: 2px; } .a {font-family: Courier New; font-size: 5px; font-weight: 400; }</style> <defs> <filter id="a"> <feFlood flood-color="black"/> <feComposite in2="SourceGraphic" operator="out"/> <feGaussianBlur stdDeviation="1"/> <feComposite in2="SourceGraphic" operM ator="atop"/> </filter> <linearGradient id="e" x2="0" y2="122"> <stop stop-color="#db9300" offset="0"/> <stop stop-color="#a26d00" offset=".4"/> </linearGradient> </defs> <circle cx="55" cy="55" r="52" fill="#fecb00" filter="url(#a)"/> <circle cx="55" cy="55" r="43.5" fill="url(#e)"/> <circle cx="55" cy="55" r="43" fill="#db9300" filter="url(#a)"/> <path id="g" d="m7 55a48 48 0 1 0 96 0 48 48 0 1 0-96 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath startOffset="25%" font-family="Courier New" foM nt-size="2.5px" font-weight="400" xlink:href="#g" xml:space="preserve">The Times 03/Jan/2009 Chancellor on brink of second bailout for banks</textPath></text> <path id="f" d="m9 50a46 46.5 0 0 1 91.5 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath class="a" startOffset="50%" xlink:href="#f" xml:space="preserve">BLOCK 786 SAT 3930503077412 JANUARY 2009</textPath></text> <g transform="scale(0.05)translate(800,600)" fill="#db9300" filter="drop-shadow(0px 15px 0px rgb(0 0 0 / 0.4))"> <path d="MM 642.5 635c0 50.6-16.8 97.4-44.9 135-12.9 17-28 32.2-45.1 45.1-26.2 19.6-56.8 33.7-90 40.4-14.5 3-29.6 4.5-45 4.5v90h-90v-90h-45v90h-90v-90h-135v-90h360c15.8 0 30.9-2.7 45-7.7 52.4-18.5 90-68.5 90-127.3s-37.6-108.8-90-127.3c-14.1-5-29.2-7.7-45-7.7h-315V230h-45v-90h135V50h90v90h45V50h90v95.7c15.9 4.1 31 10.4 45 18.5 27.3 15.8 50.1 38.6 65.9 65.9 15.4 26.5 24.1 57.2 24.1 90h-90c0-33.3-18.1-62.4-45-77.9-13.2-7.7-28.6-12.1-45-12.1h-180v180h225c15.4 0 30.5 1.5 45 4.5 18 3.7 35.1 9.5 51.3 17.1 13.8 6.5 26.7 14.3 38.8 23.3LV 17 12.9 32.2 28 45.1 45.1 28 37.5 44.8 84.3 44.8 134.9z" fill="#fecb00"/> </g> </svg>h! <?xml version="1.0" encoding="UTF-8"?><svg viewBox="-5 -5 120 120" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><title>SAT 3930503080612</title><desc>collectibles.nullish.org</desc><style>.t { font-family: Courier New; font-size: 2px; } .a {font-family: Courier New; font-size: 5px; font-weight: 400; }</style> <defs> <filter id="a"> <feFlood flood-color="black"/> <feComposite in2="SourceGraphic" operator="out"/> <feGaussianBlur stdDeviation="1"/> <feComposite in2="SourceGraphic" operM ator="atop"/> </filter> <linearGradient id="e" x2="0" y2="122"> <stop stop-color="#db9300" offset="0"/> <stop stop-color="#a26d00" offset=".4"/> </linearGradient> </defs> <circle cx="55" cy="55" r="52" fill="#fecb00" filter="url(#a)"/> <circle cx="55" cy="55" r="43.5" fill="url(#e)"/> <circle cx="55" cy="55" r="43" fill="#db9300" filter="url(#a)"/> <path id="g" d="m7 55a48 48 0 1 0 96 0 48 48 0 1 0-96 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath startOffset="25%" font-family="Courier New" foM nt-size="2.5px" font-weight="400" xlink:href="#g" xml:space="preserve">The Times 03/Jan/2009 Chancellor on brink of second bailout for banks</textPath></text> <path id="f" d="m9 50a46 46.5 0 0 1 91.5 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath class="a" startOffset="50%" xlink:href="#f" xml:space="preserve">BLOCK 786 SAT 3930503080612 JANUARY 2009</textPath></text> <g transform="scale(0.05)translate(800,600)" fill="#db9300" filter="drop-shadow(0px 15px 0px rgb(0 0 0 / 0.4))"> <path d="MM 642.5 635c0 50.6-16.8 97.4-44.9 135-12.9 17-28 32.2-45.1 45.1-26.2 19.6-56.8 33.7-90 40.4-14.5 3-29.6 4.5-45 4.5v90h-90v-90h-45v90h-90v-90h-135v-90h360c15.8 0 30.9-2.7 45-7.7 52.4-18.5 90-68.5 90-127.3s-37.6-108.8-90-127.3c-14.1-5-29.2-7.7-45-7.7h-315V230h-45v-90h135V50h90v90h45V50h90v95.7c15.9 4.1 31 10.4 45 18.5 27.3 15.8 50.1 38.6 65.9 65.9 15.4 26.5 24.1 57.2 24.1 90h-90c0-33.3-18.1-62.4-45-77.9-13.2-7.7-28.6-12.1-45-12.1h-180v180h225c15.4 0 30.5 1.5 45 4.5 18 3.7 35.1 9.5 51.3 17.1 13.8 6.5 26.7 14.3 38.8 23.3LV 17 12.9 32.2 28 45.1 45.1 28 37.5 44.8 84.3 44.8 134.9z" fill="#fecb00"/> </g> </svg>h! <?xml version="1.0" encoding="UTF-8"?><svg viewBox="-5 -5 120 120" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><title>SAT 3930503078112</title><desc>collectibles.nullish.org</desc><style>.t { font-family: Courier New; font-size: 2px; } .a {font-family: Courier New; font-size: 5px; font-weight: 400; }</style> <defs> <filter id="a"> <feFlood flood-color="black"/> <feComposite in2="SourceGraphic" operator="out"/> <feGaussianBlur stdDeviation="1"/> <feComposite in2="SourceGraphic" operM ator="atop"/> </filter> <linearGradient id="e" x2="0" y2="122"> <stop stop-color="#db9300" offset="0"/> <stop stop-color="#a26d00" offset=".4"/> </linearGradient> </defs> <circle cx="55" cy="55" r="52" fill="#fecb00" filter="url(#a)"/> <circle cx="55" cy="55" r="43.5" fill="url(#e)"/> <circle cx="55" cy="55" r="43" fill="#db9300" filter="url(#a)"/> <path id="g" d="m7 55a48 48 0 1 0 96 0 48 48 0 1 0-96 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath startOffset="25%" font-family="Courier New" foM nt-size="2.5px" font-weight="400" xlink:href="#g" xml:space="preserve">The Times 03/Jan/2009 Chancellor on brink of second bailout for banks</textPath></text> <path id="f" d="m9 50a46 46.5 0 0 1 91.5 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath class="a" startOffset="50%" xlink:href="#f" xml:space="preserve">BLOCK 786 SAT 3930503078112 JANUARY 2009</textPath></text> <g transform="scale(0.05)translate(800,600)" fill="#db9300" filter="drop-shadow(0px 15px 0px rgb(0 0 0 / 0.4))"> <path d="MM 642.5 635c0 50.6-16.8 97.4-44.9 135-12.9 17-28 32.2-45.1 45.1-26.2 19.6-56.8 33.7-90 40.4-14.5 3-29.6 4.5-45 4.5v90h-90v-90h-45v90h-90v-90h-135v-90h360c15.8 0 30.9-2.7 45-7.7 52.4-18.5 90-68.5 90-127.3s-37.6-108.8-90-127.3c-14.1-5-29.2-7.7-45-7.7h-315V230h-45v-90h135V50h90v90h45V50h90v95.7c15.9 4.1 31 10.4 45 18.5 27.3 15.8 50.1 38.6 65.9 65.9 15.4 26.5 24.1 57.2 24.1 90h-90c0-33.3-18.1-62.4-45-77.9-13.2-7.7-28.6-12.1-45-12.1h-180v180h225c15.4 0 30.5 1.5 45 4.5 18 3.7 35.1 9.5 51.3 17.1 13.8 6.5 26.7 14.3 38.8 23.3LV 17 12.9 32.2 28 45.1 45.1 28 37.5 44.8 84.3 44.8 134.9z" fill="#fecb00"/> </g> </svg>h! <?xml version="1.0" encoding="UTF-8"?><svg viewBox="-5 -5 120 120" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><title>SAT 3930503079149</title><desc>collectibles.nullish.org</desc><style>.t { font-family: Courier New; font-size: 2px; } .a {font-family: Courier New; font-size: 5px; font-weight: 400; }</style> <defs> <filter id="a"> <feFlood flood-color="black"/> <feComposite in2="SourceGraphic" operator="out"/> <feGaussianBlur stdDeviation="1"/> <feComposite in2="SourceGraphic" operM ator="atop"/> </filter> <linearGradient id="e" x2="0" y2="122"> <stop stop-color="#db9300" offset="0"/> <stop stop-color="#a26d00" offset=".4"/> </linearGradient> </defs> <circle cx="55" cy="55" r="52" fill="#fecb00" filter="url(#a)"/> <circle cx="55" cy="55" r="43.5" fill="url(#e)"/> <circle cx="55" cy="55" r="43" fill="#db9300" filter="url(#a)"/> <path id="g" d="m7 55a48 48 0 1 0 96 0 48 48 0 1 0-96 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath startOffset="25%" font-family="Courier New" foM nt-size="2.5px" font-weight="400" xlink:href="#g" xml:space="preserve">The Times 03/Jan/2009 Chancellor on brink of second bailout for banks</textPath></text> <path id="f" d="m9 50a46 46.5 0 0 1 91.5 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath class="a" startOffset="50%" xlink:href="#f" xml:space="preserve">BLOCK 786 SAT 3930503079149 JANUARY 2009</textPath></text> <g transform="scale(0.05)translate(800,600)" fill="#db9300" filter="drop-shadow(0px 15px 0px rgb(0 0 0 / 0.4))"> <path d="MM 642.5 635c0 50.6-16.8 97.4-44.9 135-12.9 17-28 32.2-45.1 45.1-26.2 19.6-56.8 33.7-90 40.4-14.5 3-29.6 4.5-45 4.5v90h-90v-90h-45v90h-90v-90h-135v-90h360c15.8 0 30.9-2.7 45-7.7 52.4-18.5 90-68.5 90-127.3s-37.6-108.8-90-127.3c-14.1-5-29.2-7.7-45-7.7h-315V230h-45v-90h135V50h90v90h45V50h90v95.7c15.9 4.1 31 10.4 45 18.5 27.3 15.8 50.1 38.6 65.9 65.9 15.4 26.5 24.1 57.2 24.1 90h-90c0-33.3-18.1-62.4-45-77.9-13.2-7.7-28.6-12.1-45-12.1h-180v180h225c15.4 0 30.5 1.5 45 4.5 18 3.7 35.1 9.5 51.3 17.1 13.8 6.5 26.7 14.3 38.8 23.3LV 17 12.9 32.2 28 45.1 45.1 28 37.5 44.8 84.3 44.8 134.9z" fill="#fecb00"/> </g> </svg>h! <?xml version="1.0" encoding="UTF-8"?><svg viewBox="-5 -5 120 120" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><title>SAT 3930503077712</title><desc>collectibles.nullish.org</desc><style>.t { font-family: Courier New; font-size: 2px; } .a {font-family: Courier New; font-size: 5px; font-weight: 400; }</style> <defs> <filter id="a"> <feFlood flood-color="black"/> <feComposite in2="SourceGraphic" operator="out"/> <feGaussianBlur stdDeviation="1"/> <feComposite in2="SourceGraphic" operM ator="atop"/> </filter> <linearGradient id="e" x2="0" y2="122"> <stop stop-color="#db9300" offset="0"/> <stop stop-color="#a26d00" offset=".4"/> </linearGradient> </defs> <circle cx="55" cy="55" r="52" fill="#fecb00" filter="url(#a)"/> <circle cx="55" cy="55" r="43.5" fill="url(#e)"/> <circle cx="55" cy="55" r="43" fill="#db9300" filter="url(#a)"/> <path id="g" d="m7 55a48 48 0 1 0 96 0 48 48 0 1 0-96 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath startOffset="25%" font-family="Courier New" foM nt-size="2.5px" font-weight="400" xlink:href="#g" xml:space="preserve">The Times 03/Jan/2009 Chancellor on brink of second bailout for banks</textPath></text> <path id="f" d="m9 50a46 46.5 0 0 1 91.5 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath class="a" startOffset="50%" xlink:href="#f" xml:space="preserve">BLOCK 786 SAT 3930503077712 JANUARY 2009</textPath></text> <g transform="scale(0.05)translate(800,600)" fill="#db9300" filter="drop-shadow(0px 15px 0px rgb(0 0 0 / 0.4))"> <path d="MM 642.5 635c0 50.6-16.8 97.4-44.9 135-12.9 17-28 32.2-45.1 45.1-26.2 19.6-56.8 33.7-90 40.4-14.5 3-29.6 4.5-45 4.5v90h-90v-90h-45v90h-90v-90h-135v-90h360c15.8 0 30.9-2.7 45-7.7 52.4-18.5 90-68.5 90-127.3s-37.6-108.8-90-127.3c-14.1-5-29.2-7.7-45-7.7h-315V230h-45v-90h135V50h90v90h45V50h90v95.7c15.9 4.1 31 10.4 45 18.5 27.3 15.8 50.1 38.6 65.9 65.9 15.4 26.5 24.1 57.2 24.1 90h-90c0-33.3-18.1-62.4-45-77.9-13.2-7.7-28.6-12.1-45-12.1h-180v180h225c15.4 0 30.5 1.5 45 4.5 18 3.7 35.1 9.5 51.3 17.1 13.8 6.5 26.7 14.3 38.8 23.3LV 17 12.9 32.2 28 45.1 45.1 28 37.5 44.8 84.3 44.8 134.9z" fill="#fecb00"/> </g> </svg>h! <?xml version="1.0" encoding="UTF-8"?><svg viewBox="-5 -5 120 120" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><title>SAT 3930503077013</title><desc>collectibles.nullish.org</desc><style>.t { font-family: Courier New; font-size: 2px; } .a {font-family: Courier New; font-size: 5px; font-weight: 400; }</style> <defs> <filter id="a"> <feFlood flood-color="black"/> <feComposite in2="SourceGraphic" operator="out"/> <feGaussianBlur stdDeviation="1"/> <feComposite in2="SourceGraphic" operM ator="atop"/> </filter> <linearGradient id="e" x2="0" y2="122"> <stop stop-color="#db9300" offset="0"/> <stop stop-color="#a26d00" offset=".4"/> </linearGradient> </defs> <circle cx="55" cy="55" r="52" fill="#fecb00" filter="url(#a)"/> <circle cx="55" cy="55" r="43.5" fill="url(#e)"/> <circle cx="55" cy="55" r="43" fill="#db9300" filter="url(#a)"/> <path id="g" d="m7 55a48 48 0 1 0 96 0 48 48 0 1 0-96 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath startOffset="25%" font-family="Courier New" foM nt-size="2.5px" font-weight="400" xlink:href="#g" xml:space="preserve">The Times 03/Jan/2009 Chancellor on brink of second bailout for banks</textPath></text> <path id="f" d="m9 50a46 46.5 0 0 1 91.5 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath class="a" startOffset="50%" xlink:href="#f" xml:space="preserve">BLOCK 786 SAT 3930503077013 JANUARY 2009</textPath></text> <g transform="scale(0.05)translate(800,600)" fill="#db9300" filter="drop-shadow(0px 15px 0px rgb(0 0 0 / 0.4))"> <path d="MM 642.5 635c0 50.6-16.8 97.4-44.9 135-12.9 17-28 32.2-45.1 45.1-26.2 19.6-56.8 33.7-90 40.4-14.5 3-29.6 4.5-45 4.5v90h-90v-90h-45v90h-90v-90h-135v-90h360c15.8 0 30.9-2.7 45-7.7 52.4-18.5 90-68.5 90-127.3s-37.6-108.8-90-127.3c-14.1-5-29.2-7.7-45-7.7h-315V230h-45v-90h135V50h90v90h45V50h90v95.7c15.9 4.1 31 10.4 45 18.5 27.3 15.8 50.1 38.6 65.9 65.9 15.4 26.5 24.1 57.2 24.1 90h-90c0-33.3-18.1-62.4-45-77.9-13.2-7.7-28.6-12.1-45-12.1h-180v180h225c15.4 0 30.5 1.5 45 4.5 18 3.7 35.1 9.5 51.3 17.1 13.8 6.5 26.7 14.3 38.8 23.3LV 17 12.9 32.2 28 45.1 45.1 28 37.5 44.8 84.3 44.8 134.9z" fill="#fecb00"/> </g> </svg>h! <?xml version="1.0" encoding="UTF-8"?><svg viewBox="-5 -5 120 120" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><title>SAT 3930503077612</title><desc>collectibles.nullish.org</desc><style>.t { font-family: Courier New; font-size: 2px; } .a {font-family: Courier New; font-size: 5px; font-weight: 400; }</style> <defs> <filter id="a"> <feFlood flood-color="black"/> <feComposite in2="SourceGraphic" operator="out"/> <feGaussianBlur stdDeviation="1"/> <feComposite in2="SourceGraphic" operM ator="atop"/> </filter> <linearGradient id="e" x2="0" y2="122"> <stop stop-color="#db9300" offset="0"/> <stop stop-color="#a26d00" offset=".4"/> </linearGradient> </defs> <circle cx="55" cy="55" r="52" fill="#fecb00" filter="url(#a)"/> <circle cx="55" cy="55" r="43.5" fill="url(#e)"/> <circle cx="55" cy="55" r="43" fill="#db9300" filter="url(#a)"/> <path id="g" d="m7 55a48 48 0 1 0 96 0 48 48 0 1 0-96 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath startOffset="25%" font-family="Courier New" foM nt-size="2.5px" font-weight="400" xlink:href="#g" xml:space="preserve">The Times 03/Jan/2009 Chancellor on brink of second bailout for banks</textPath></text> <path id="f" d="m9 50a46 46.5 0 0 1 91.5 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath class="a" startOffset="50%" xlink:href="#f" xml:space="preserve">BLOCK 786 SAT 3930503077612 JANUARY 2009</textPath></text> <g transform="scale(0.05)translate(800,600)" fill="#db9300" filter="drop-shadow(0px 15px 0px rgb(0 0 0 / 0.4))"> <path d="MM 642.5 635c0 50.6-16.8 97.4-44.9 135-12.9 17-28 32.2-45.1 45.1-26.2 19.6-56.8 33.7-90 40.4-14.5 3-29.6 4.5-45 4.5v90h-90v-90h-45v90h-90v-90h-135v-90h360c15.8 0 30.9-2.7 45-7.7 52.4-18.5 90-68.5 90-127.3s-37.6-108.8-90-127.3c-14.1-5-29.2-7.7-45-7.7h-315V230h-45v-90h135V50h90v90h45V50h90v95.7c15.9 4.1 31 10.4 45 18.5 27.3 15.8 50.1 38.6 65.9 65.9 15.4 26.5 24.1 57.2 24.1 90h-90c0-33.3-18.1-62.4-45-77.9-13.2-7.7-28.6-12.1-45-12.1h-180v180h225c15.4 0 30.5 1.5 45 4.5 18 3.7 35.1 9.5 51.3 17.1 13.8 6.5 26.7 14.3 38.8 23.3LV 17 12.9 32.2 28 45.1 45.1 28 37.5 44.8 84.3 44.8 134.9z" fill="#fecb00"/> </g> </svg>h! <?xml version="1.0" encoding="UTF-8"?><svg viewBox="-5 -5 120 120" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><title>SAT 3930503077812</title><desc>collectibles.nullish.org</desc><style>.t { font-family: Courier New; font-size: 2px; } .a {font-family: Courier New; font-size: 5px; font-weight: 400; }</style> <defs> <filter id="a"> <feFlood flood-color="black"/> <feComposite in2="SourceGraphic" operator="out"/> <feGaussianBlur stdDeviation="1"/> <feComposite in2="SourceGraphic" operM ator="atop"/> </filter> <linearGradient id="e" x2="0" y2="122"> <stop stop-color="#db9300" offset="0"/> <stop stop-color="#a26d00" offset=".4"/> </linearGradient> </defs> <circle cx="55" cy="55" r="52" fill="#fecb00" filter="url(#a)"/> <circle cx="55" cy="55" r="43.5" fill="url(#e)"/> <circle cx="55" cy="55" r="43" fill="#db9300" filter="url(#a)"/> <path id="g" d="m7 55a48 48 0 1 0 96 0 48 48 0 1 0-96 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath startOffset="25%" font-family="Courier New" foM nt-size="2.5px" font-weight="400" xlink:href="#g" xml:space="preserve">The Times 03/Jan/2009 Chancellor on brink of second bailout for banks</textPath></text> <path id="f" d="m9 50a46 46.5 0 0 1 91.5 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath class="a" startOffset="50%" xlink:href="#f" xml:space="preserve">BLOCK 786 SAT 3930503077812 JANUARY 2009</textPath></text> <g transform="scale(0.05)translate(800,600)" fill="#db9300" filter="drop-shadow(0px 15px 0px rgb(0 0 0 / 0.4))"> <path d="MM 642.5 635c0 50.6-16.8 97.4-44.9 135-12.9 17-28 32.2-45.1 45.1-26.2 19.6-56.8 33.7-90 40.4-14.5 3-29.6 4.5-45 4.5v90h-90v-90h-45v90h-90v-90h-135v-90h360c15.8 0 30.9-2.7 45-7.7 52.4-18.5 90-68.5 90-127.3s-37.6-108.8-90-127.3c-14.1-5-29.2-7.7-45-7.7h-315V230h-45v-90h135V50h90v90h45V50h90v95.7c15.9 4.1 31 10.4 45 18.5 27.3 15.8 50.1 38.6 65.9 65.9 15.4 26.5 24.1 57.2 24.1 90h-90c0-33.3-18.1-62.4-45-77.9-13.2-7.7-28.6-12.1-45-12.1h-180v180h225c15.4 0 30.5 1.5 45 4.5 18 3.7 35.1 9.5 51.3 17.1 13.8 6.5 26.7 14.3 38.8 23.3LV 17 12.9 32.2 28 45.1 45.1 28 37.5 44.8 84.3 44.8 134.9z" fill="#fecb00"/> </g> </svg>h! <?xml version="1.0" encoding="UTF-8"?><svg viewBox="-5 -5 120 120" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><title>SAT 3930503076913</title><desc>collectibles.nullish.org</desc><style>.t { font-family: Courier New; font-size: 2px; } .a {font-family: Courier New; font-size: 5px; font-weight: 400; }</style> <defs> <filter id="a"> <feFlood flood-color="black"/> <feComposite in2="SourceGraphic" operator="out"/> <feGaussianBlur stdDeviation="1"/> <feComposite in2="SourceGraphic" operM ator="atop"/> </filter> <linearGradient id="e" x2="0" y2="122"> <stop stop-color="#db9300" offset="0"/> <stop stop-color="#a26d00" offset=".4"/> </linearGradient> </defs> <circle cx="55" cy="55" r="52" fill="#fecb00" filter="url(#a)"/> <circle cx="55" cy="55" r="43.5" fill="url(#e)"/> <circle cx="55" cy="55" r="43" fill="#db9300" filter="url(#a)"/> <path id="g" d="m7 55a48 48 0 1 0 96 0 48 48 0 1 0-96 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath startOffset="25%" font-family="Courier New" foM nt-size="2.5px" font-weight="400" xlink:href="#g" xml:space="preserve">The Times 03/Jan/2009 Chancellor on brink of second bailout for banks</textPath></text> <path id="f" d="m9 50a46 46.5 0 0 1 91.5 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath class="a" startOffset="50%" xlink:href="#f" xml:space="preserve">BLOCK 786 SAT 3930503076913 JANUARY 2009</textPath></text> <g transform="scale(0.05)translate(800,600)" fill="#db9300" filter="drop-shadow(0px 15px 0px rgb(0 0 0 / 0.4))"> <path d="MM 642.5 635c0 50.6-16.8 97.4-44.9 135-12.9 17-28 32.2-45.1 45.1-26.2 19.6-56.8 33.7-90 40.4-14.5 3-29.6 4.5-45 4.5v90h-90v-90h-45v90h-90v-90h-135v-90h360c15.8 0 30.9-2.7 45-7.7 52.4-18.5 90-68.5 90-127.3s-37.6-108.8-90-127.3c-14.1-5-29.2-7.7-45-7.7h-315V230h-45v-90h135V50h90v90h45V50h90v95.7c15.9 4.1 31 10.4 45 18.5 27.3 15.8 50.1 38.6 65.9 65.9 15.4 26.5 24.1 57.2 24.1 90h-90c0-33.3-18.1-62.4-45-77.9-13.2-7.7-28.6-12.1-45-12.1h-180v180h225c15.4 0 30.5 1.5 45 4.5 18 3.7 35.1 9.5 51.3 17.1 13.8 6.5 26.7 14.3 38.8 23.3LV 17 12.9 32.2 28 45.1 45.1 28 37.5 44.8 84.3 44.8 134.9z" fill="#fecb00"/> </g> </svg>h! <?xml version="1.0" encoding="UTF-8"?><svg viewBox="-5 -5 120 120" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><title>SAT 3930503078412</title><desc>collectibles.nullish.org</desc><style>.t { font-family: Courier New; font-size: 2px; } .a {font-family: Courier New; font-size: 5px; font-weight: 400; }</style> <defs> <filter id="a"> <feFlood flood-color="black"/> <feComposite in2="SourceGraphic" operator="out"/> <feGaussianBlur stdDeviation="1"/> <feComposite in2="SourceGraphic" operM ator="atop"/> </filter> <linearGradient id="e" x2="0" y2="122"> <stop stop-color="#db9300" offset="0"/> <stop stop-color="#a26d00" offset=".4"/> </linearGradient> </defs> <circle cx="55" cy="55" r="52" fill="#fecb00" filter="url(#a)"/> <circle cx="55" cy="55" r="43.5" fill="url(#e)"/> <circle cx="55" cy="55" r="43" fill="#db9300" filter="url(#a)"/> <path id="g" d="m7 55a48 48 0 1 0 96 0 48 48 0 1 0-96 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath startOffset="25%" font-family="Courier New" foM nt-size="2.5px" font-weight="400" xlink:href="#g" xml:space="preserve">The Times 03/Jan/2009 Chancellor on brink of second bailout for banks</textPath></text> <path id="f" d="m9 50a46 46.5 0 0 1 91.5 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath class="a" startOffset="50%" xlink:href="#f" xml:space="preserve">BLOCK 786 SAT 3930503078412 JANUARY 2009</textPath></text> <g transform="scale(0.05)translate(800,600)" fill="#db9300" filter="drop-shadow(0px 15px 0px rgb(0 0 0 / 0.4))"> <path d="MM 642.5 635c0 50.6-16.8 97.4-44.9 135-12.9 17-28 32.2-45.1 45.1-26.2 19.6-56.8 33.7-90 40.4-14.5 3-29.6 4.5-45 4.5v90h-90v-90h-45v90h-90v-90h-135v-90h360c15.8 0 30.9-2.7 45-7.7 52.4-18.5 90-68.5 90-127.3s-37.6-108.8-90-127.3c-14.1-5-29.2-7.7-45-7.7h-315V230h-45v-90h135V50h90v90h45V50h90v95.7c15.9 4.1 31 10.4 45 18.5 27.3 15.8 50.1 38.6 65.9 65.9 15.4 26.5 24.1 57.2 24.1 90h-90c0-33.3-18.1-62.4-45-77.9-13.2-7.7-28.6-12.1-45-12.1h-180v180h225c15.4 0 30.5 1.5 45 4.5 18 3.7 35.1 9.5 51.3 17.1 13.8 6.5 26.7 14.3 38.8 23.3LV 17 12.9 32.2 28 45.1 45.1 28 37.5 44.8 84.3 44.8 134.9z" fill="#fecb00"/> </g> </svg>h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq text/plain;charset=utf-8 "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> "3 % % 3-7,),7-Q@88@Q^OJO^qeeq "3 % % 3-7,),7-Q@88@Q^OJO^qeeq text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 ~zTXtRaw profile type exif text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 @{"p":"brc-20","op":"deploy","tick":" ","max":"100","lim":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" text/plain;charset=utf-8 A{"p":"brc-20","op":"deploy","tick":"plan","max":"9999","lim":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" ~zTXtRaw profile type exif text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 "max": "250000000", text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 @{"p":"brc-20","op":"deploy","tick":" ","max":"100","lim":"1"}h! ~zTXtRaw profile type exif text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! ~zTXtRaw profile type exif ~zTXtRaw profile type exif text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 @{"p":"brc-20","op":"deploy","tick":" ","max":"100","lim":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! ~zTXtRaw profile type exif ~zTXtRaw profile type exif text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 :{"p":"brc-20","op":"mint","tick":"sats","amt":"100000000"}h! text/plain;charset=utf-8 :{"p":"brc-20","op":"mint","tick":"sats","amt":"100000000"}h! text/plain;charset=utf-8 :{"p":"brc-20","op":"mint","tick":"sats","amt":"100000000"}h! text/plain;charset=utf-8 :{"p":"brc-20","op":"mint","tick":"sats","amt":"100000000"}h! text/plain;charset=utf-8 :{"p":"brc-20","op":"mint","tick":"sats","amt":"100000000"}h! 2023-04-08T01:58:22+00:00 2023-04-08T01:58:22+00:00 2023-04-08T01:58:24+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-08T01:51:03+00:00 2023-04-08T01:51:03+00:00 2023-04-08T01:51:07+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 0d/Foundry USA Pool #dropgold/ IjGREFUND:3D45CB65DF3FBB09F5D4EC9C94B2C2460BED6E8951224953E2A6A33B0CE084D5 JjH=:BNB.BUSD-BD1:bnb1qzqdxm9wlavk7zgkruz72pnvk4d6g9p9kskxlr:26947534372::0 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> EjC=:ETH.ETH:0xE01CEa5A93d7913C794497dA42f4d532E6110738:103356916:te:0 IjGREFUND:D5A9EE0CAD82C055F6E9DD84581A462888C8A77AB2B8F4E8E750FC066A145577 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! <?xml version="1.0" encoding="UTF-8"?><svg viewBox="-5 -5 120 120" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><title>SAT 3930503077912</title><desc>collectibles.nullish.org</desc><style>.t { font-family: Courier New; font-size: 2px; } .a {font-family: Courier New; font-size: 5px; font-weight: 400; }</style> <defs> <filter id="a"> <feFlood flood-color="black"/> <feComposite in2="SourceGraphic" operator="out"/> <feGaussianBlur stdDeviation="1"/> <feComposite in2="SourceGraphic" operM ator="atop"/> </filter> <linearGradient id="e" x2="0" y2="122"> <stop stop-color="#db9300" offset="0"/> <stop stop-color="#a26d00" offset=".4"/> </linearGradient> </defs> <circle cx="55" cy="55" r="52" fill="#fecb00" filter="url(#a)"/> <circle cx="55" cy="55" r="43.5" fill="url(#e)"/> <circle cx="55" cy="55" r="43" fill="#db9300" filter="url(#a)"/> <path id="g" d="m7 55a48 48 0 1 0 96 0 48 48 0 1 0-96 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath startOffset="25%" font-family="Courier New" foM nt-size="2.5px" font-weight="400" xlink:href="#g" xml:space="preserve">The Times 03/Jan/2009 Chancellor on brink of second bailout for banks</textPath></text> <path id="f" d="m9 50a46 46.5 0 0 1 91.5 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath class="a" startOffset="50%" xlink:href="#f" xml:space="preserve">BLOCK 786 SAT 3930503077912 JANUARY 2009</textPath></text> <g transform="scale(0.05)translate(800,600)" fill="#db9300" filter="drop-shadow(0px 15px 0px rgb(0 0 0 / 0.4))"> <path d="MM 642.5 635c0 50.6-16.8 97.4-44.9 135-12.9 17-28 32.2-45.1 45.1-26.2 19.6-56.8 33.7-90 40.4-14.5 3-29.6 4.5-45 4.5v90h-90v-90h-45v90h-90v-90h-135v-90h360c15.8 0 30.9-2.7 45-7.7 52.4-18.5 90-68.5 90-127.3s-37.6-108.8-90-127.3c-14.1-5-29.2-7.7-45-7.7h-315V230h-45v-90h135V50h90v90h45V50h90v95.7c15.9 4.1 31 10.4 45 18.5 27.3 15.8 50.1 38.6 65.9 65.9 15.4 26.5 24.1 57.2 24.1 90h-90c0-33.3-18.1-62.4-45-77.9-13.2-7.7-28.6-12.1-45-12.1h-180v180h225c15.4 0 30.5 1.5 45 4.5 18 3.7 35.1 9.5 51.3 17.1 13.8 6.5 26.7 14.3 38.8 23.3LV 17 12.9 32.2 28 45.1 45.1 28 37.5 44.8 84.3 44.8 134.9z" fill="#fecb00"/> </g> </svg>h! <?xml version="1.0" encoding="UTF-8"?><svg viewBox="-5 -5 120 120" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><title>SAT 3930503078012</title><desc>collectibles.nullish.org</desc><style>.t { font-family: Courier New; font-size: 2px; } .a {font-family: Courier New; font-size: 5px; font-weight: 400; }</style> <defs> <filter id="a"> <feFlood flood-color="black"/> <feComposite in2="SourceGraphic" operator="out"/> <feGaussianBlur stdDeviation="1"/> <feComposite in2="SourceGraphic" operM ator="atop"/> </filter> <linearGradient id="e" x2="0" y2="122"> <stop stop-color="#db9300" offset="0"/> <stop stop-color="#a26d00" offset=".4"/> </linearGradient> </defs> <circle cx="55" cy="55" r="52" fill="#fecb00" filter="url(#a)"/> <circle cx="55" cy="55" r="43.5" fill="url(#e)"/> <circle cx="55" cy="55" r="43" fill="#db9300" filter="url(#a)"/> <path id="g" d="m7 55a48 48 0 1 0 96 0 48 48 0 1 0-96 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath startOffset="25%" font-family="Courier New" foM nt-size="2.5px" font-weight="400" xlink:href="#g" xml:space="preserve">The Times 03/Jan/2009 Chancellor on brink of second bailout for banks</textPath></text> <path id="f" d="m9 50a46 46.5 0 0 1 91.5 0" fill="none"/> <text fill="#946300" text-anchor="middle"><textPath class="a" startOffset="50%" xlink:href="#f" xml:space="preserve">BLOCK 786 SAT 3930503078012 JANUARY 2009</textPath></text> <g transform="scale(0.05)translate(800,600)" fill="#db9300" filter="drop-shadow(0px 15px 0px rgb(0 0 0 / 0.4))"> <path d="MM 642.5 635c0 50.6-16.8 97.4-44.9 135-12.9 17-28 32.2-45.1 45.1-26.2 19.6-56.8 33.7-90 40.4-14.5 3-29.6 4.5-45 4.5v90h-90v-90h-45v90h-90v-90h-135v-90h360c15.8 0 30.9-2.7 45-7.7 52.4-18.5 90-68.5 90-127.3s-37.6-108.8-90-127.3c-14.1-5-29.2-7.7-45-7.7h-315V230h-45v-90h135V50h90v90h45V50h90v95.7c15.9 4.1 31 10.4 45 18.5 27.3 15.8 50.1 38.6 65.9 65.9 15.4 26.5 24.1 57.2 24.1 90h-90c0-33.3-18.1-62.4-45-77.9-13.2-7.7-28.6-12.1-45-12.1h-180v180h225c15.4 0 30.5 1.5 45 4.5 18 3.7 35.1 9.5 51.3 17.1 13.8 6.5 26.7 14.3 38.8 23.3LV 17 12.9 32.2 28 45.1 45.1 28 37.5 44.8 84.3 44.8 134.9z" fill="#fecb00"/> </g> </svg>h! <?xml version="1.0" encoding="UTF-8"?><svg id="capricorn" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" viewBox="0 0 1440 1440"><defs><style>.cls-1{fill:url(#linear-gradient);}.cls-2{fill:#fff;}.cls-3{fill:url(#linear-gradient-2);}</style><linearGradient id="linear-gradient" x1="120.22" y1="-8183.17" x2="1319.78" y2="-7176.62" gradientTransform="translate(0 -7319.89) scale(1 -1)" gradientUnits="userSpaceOnUse"><stop offset="0" stop-color="#6aba71"/><stop offset=".19" stop-color="#64cM 195"/><stop offset=".5" stop-color="#8da07c"/><stop offset=".75" stop-color="#b7529a"/><stop offset="1" stop-color="#aa5457"/></linearGradient><linearGradient id="linear-gradient-2" y1="-4592.92" x2="1319.78" y2="-3586.38" gradientTransform="translate(0 5169.65)" xlink:href="#linear-gradient"/></defs><g id="Layer_16"><g><rect class="cls-1" width="1440" height="720"/><rect class="cls-3" y="720" width="1440" height="720"/></g></g><g><path class="cls-2" d="M505.47,904.87c-4.42-.26-1.33,1.67,.05,3.43-.02-1.14-.03-2.29-M .05-3.43Zm-23.91,20.9c8.06,.54,16.14,.23,24.21,.28-.04-3.56-.1-7.13-.15-10.69-11.27,.03-22.51-.47-33.72-1.3-1.4,.34,.26,1.72,.59,2.39,1.98,2.57,3.98,5.12,5.96,7.69,.29,.36,.54,.74,.18,1.28-15.39-.18-30.75-2.51-46.05-4.02-.84,.22-.24,1.14,.02,1.63,2.04,3.28,4.23,6.48,6.2,9.8,1.05,2.04-3.82,.62-4.75,.72-13.94-1.83-27.83-4-41.62-6.51-2.62-.46-5.24-.96-7.86-1.43-.36-.06-.83,.32-.73,.59,1.7,4.45,4.5,8.47,6.09,12.96-.21,.57-1.18,.41-1.68,.33-20.82-3.75-41.43-8.36-61.82-13.81-2.42-.7-1.88,.71-1.3,2.36,1.34,3.61,2.72,7.22,M 4.07,10.83,.09,.62,.78,1.74-.12,2.01-18.43-3.91-36.65-9.46-54.63-14.85-6.41-1.98-12.74-4.1-19.12-6.13-.97-.31-1.89-.84-3.03-.72-.42,.51-.3,1.04-.17,1.57,1.09,5.07,2.89,10.08,3.57,15.2-.36,.83-2.85-.28-3.59-.39-15.64-4.96-31.18-10.14-46.54-15.64-14.07-4.83-27.74-10.69-41.64-15.64-.64-.06-.65,.55-.68,.98,.61,4.82,1.24,9.64,1.84,14.46,.15,1.17,.47,2.34,.13,3.51-37.08-12.49-73.5-29.43-109.11-45.46-.76-.33-1.44-.09-1.47,.51-.03,.43-.05,.86-.04,1.29,.02,5.71,.05,11.42,.09,17.13-.01,1.28-.14,2.56,1.42,3.08,35.34,15.58,71.M 35,29.79,107.86,42.7,.98,.35,2,.62,3.01,.9,.31,.09,.57-.06,.58-.28-.02-6.12-1.58-12.21-1.88-18.32,0-.25,.59-.61,.86-.52,1,.33,1.99,.65,2.97,1.01,20.54,7.59,41.31,14.75,62.46,21.2,7.8,2.38,15.63,4.68,23.45,7.01,1.21,.14,4.98,2.27,4.51-.3-1.03-5.2-2.78-10.29-3.38-15.56,0-.11,.4-.38,.55-.35,25.62,7.21,51.33,14.94,77.57,19.91,1.07-.13,.27-1.62,.19-2.27-1.29-4.27-3.23-8.45-4.22-12.78,.39-.7,1.5-.22,2.13-.15,5.84,1.3,11.66,2.65,17.5,3.92,13.92,3.01,27.97,5.54,42.09,7.83,1.85,.09,6.04,1.62,3.76-2.02-1.57-3.66-3.66-7.15-4.M 9-10.92-.03-.13,.25-.43,.41-.44,.65-.03,1.33-.05,1.98,.04,13.76,2.19,27.55,4.16,41.42,5.59,3.85,.27,7.75,1.01,11.61,.84,.3-.05,.46-.25,.37-.49-1.36-3.32-3.75-6.18-5.52-9.31-.36-.57-.66-1.17-.98-1.76-.13-.24,.22-.73,.52-.73,1.21,.03,2.42,.02,3.62,.12,8.17,.71,16.33,1.59,24.53,1.9,6.04,.39,12.11,.75,18.16,.55,.33-.01,.64-.48,.47-.72-2.28-3.19-4.73-6.28-7.08-9.41-.86-.77,.11-1.2,.83-1.2Zm65.71-13.31c-.08-.09-.16-.18-.25-.26,.01,.31,.01,.63,.02,.94,.06,0,.13-.02,.19-.03,.03-.26,.15-.52,.04-.65Zm81.52-113.77s-.02,.05-.0M 3,.08c.04,.01,.07,.03,.11,.04l-.08-.12Zm6.36,43.49c-14.97-5.64-10.05-2.32-.08-12.22,1.47-1.34,1.09-1.69-.63-2.26-3-1.19-6.19-2.03-9.09-3.46-.15-.1-.24-.44-.15-.57,2.92-3.25,6.16-6.24,9.19-9.4-1.42-1.25-13.09-3.8-11.98-5.31,2.05-3.41,4.76-6.55,6.35-10.19-3.83-1.42-7.72-2.71-11.51-4.23-.48-.22-.69-.69-.46-1.1,1.98-3.37,3.91-6.75,5.63-10.24-.02,0-.05,0-.07-.02h0c-4.09-1.25-7.87-3.01-11.75-4.63-.39-.17-.6-.74-.42-1.13,1.82-3.4,2.84-7.29,5.08-10.4-4.5-1.15-8.23-3.91-12.69-5.03-2.05,3.29-3.25,6.85-5.52,10.11-4.35-1.58-8.M 1-4.16-12.14-6.23-.71,.07-1.06,.36-1.33,.76-1.8,2.66-3.76,5.51-5.74,7.98-.81,.25-1.21-.08-1.59-.34-3.2-2.15-6.37-4.32-9.57-6.47-.69-.46-1.25-1.12-2.41-1.26-2.4,2.52-5.18,4.86-7.95,7.2-.8,.9,.82,1.47,1.35,2.01,3.78,2.62,7.53,5.23,11.34,7.82-2.34,3.12-6.56,4.49-9.52,6.83,.17,.71,.78,.98,1.27,1.3,3.71,2.5,7.61,4.75,11.21,7.39,1.29,1.38-10.51,4.97-11.01,6.56,3.61,2.57,7.55,4.81,11.3,7.19,.45,.28,.74,.61,.66,1.18-3.75,1.76-7.94,3.15-11.95,4.52-2.24,.87,1.45,2.13,2.14,2.82,2.46,1.51,4.93,3.01,7.39,4.51,.52,.32,1.12,.58,1M .34,1.13-.34,.52-.95,.73-1.6,.91-3.95,1.06-7.91,2.13-11.85,3.2-.57,.24-2.38,.39-1.58,1.29,3.42,2.29,6.93,4.46,10.42,6.64,.24,.16,.25,.55,.38,.88-5.74,1.54-11.47,2.55-17.3,3.47-.81,.11-.83,.77-.16,1.15,2.62,1.87,5.37,3.63,8.04,5.4,.73,.54,1.92,.8,1.91,1.83-.67,.69-1.69,.56-2.59,.69-3.76,.54-7.54,1.08-11.31,1.58,.03,2.14,.06,4.28,.09,6.42,2.6,2.02,5.27,2.96,.05,3.44,.04,3.22,.09,6.45,.14,9.67,4.9-.49,9.85-.84,14.66-1.92,1.42-.76-7.84-5.98-8.82-6.96-.41-.27-.82-.56-.76-1.14,6.4-1.48,13.19-1.87,19.6-3.43,.47-.12,1.45-.M 31,1.24-.94-2.73-2.3-6.04-3.92-9-5.95-.52-.33-1.1-.63-1.25-1.33,5.85-1.57,11.86-2.67,17.66-4.39,.3-.11,.43-.67,.18-.82-3.04-2-6.25-3.73-9.37-5.62-.52-.31-1.13-.61-1.26-1.35,5-1.74,10.61-2.8,15.44-5.06,0-.68-.63-.95-1.17-1.26-3.32-2.01-6.98-3.59-10.1-5.88-.53-.86,1.57-1.13,2.11-1.5,3.55-1.52,7.37-2.54,10.73-4.44,.15-.1,.13-.37,.21-.66-4-2.33-8.23-4.41-12.15-6.94,.8-1.24,2.27-1.46,3.5-2.12,2.59-1.18,4.94-2.62,7.24-4.11,.27-.18,.35-.54,.54-.87-16.75-10.37-14.44-4.32-3.91-14.28,.14-.15,.13-.4,.18-.6h0c.77,.01,1.52,.05,M 2.24,.43,3.74,2.08,7.71,3.85,11.37,6.07-2.04,3.28-5.92,5.58-8.72,8.29,.12,.61,.53,.87,.99,1.1,2.4,1.2,4.79,2.41,7.19,3.61,.71,.61,4.52,1.43,3.21,2.61-12.08,10.11-15.29,4.4,1.29,13.35,.07,.61-.26,.91-.73,1.17-3.35,1.81-6.79,3.5-10.47,4.86-.73,.27-1.54,.45-2.03,1.24,3.61,2.34,7.84,4.04,11.7,6.29-.83,1.1-2.12,1.23-3.33,1.73-3.83,1.31-7.68,2.62-11.52,3.91-.53,.18-.92,.41-1.08,.99,3.16,1.98,6.57,3.7,9.83,5.54,.43,.24,.85,.49,.95,1.05-5.85,2.29-12.12,3.42-18.16,5.22-.36,.11-.43,.57-.11,.77,3.2,1.97,6.45,3.89,9.64,5.87,.2M 6,.17,.32,.55,.51,.92-6.94,1.98-14.02,3.04-21.07,4.53-1.44,.97,7.55,5.7,8.58,6.72,.41,.28,.85,.54,.85,1.04-.73,.52-1.69,.62-2.58,.76-7.23,1.33-14.54,2.2-21.85,3.16-1.27,.64,.46,1.43,.95,1.97,2.3,1.81,4.61,3.62,6.93,5.42,.39,.3,.74,.61,.68,1.1-3.32,1.09-7.02,.93-10.48,1.44,.05,3.31,.09,6.62,.14,9.93,5.23-.64,10.46-1.29,15.68-1.97,.76-.29,7.1-.49,5.5-1.8-2.73-2.26-5.67-4.29-8.47-6.47-.25-.19-.31-.53-.53-.93,8.34-1.79,16.98-2.43,25.09-4.91,.23-.9-.85-1.25-1.41-1.76-2.37-1.61-4.76-3.19-7.11-4.8-.27-.18-.54-.51-.56-.78-M .02-.34,.45-.51,.83-.6,3.11-.72,6.23-1.39,9.32-2.14,3.34-.82,6.66-1.72,9.99-2.58,.54-.14,.95-.38,1.2-.94-3.07-2.27-6.72-3.81-9.79-6.09-.12-.1-.13-.47-.03-.51,6.11-2.39,12.6-3.69,18.68-6.19-.31-.33-.48-.64-.78-.82-2.99-1.66-6.07-3.22-9.12-4.78-.48-.25-.8-.56-.95-1.11,1.54-.7,17.17-5.68,15.46-7.12-3.04-1.63-6.19-3.05-9.29-4.56-.59-.28-1.15-.57-1.41-1.13,4.18-2.18,8.42-4.23,12.12-6.94,.6-.47,1.37-.84,2.14-.51,3.24,1.32,6.48,2.63,9.72,3.96,1.14,.4,.88,1.17,0,1.71-3.73,2.58-7.79,4.99-11.48,7.57,.14,.53,.52,.8,1.01,1.01,M 2.37,1.03,4.72,2.08,7.09,3.11q3.06,1.34,.14,3.02c-4.08,2.47-8.71,4.35-13.11,6.3,.02,.55,.4,.81,.84,1.04,3.28,1.66,6.42,3.12,9.67,4.92-5.71,3.39-12.46,4.6-18.61,7.07-.51,.19-.56,.77-.08,1.05,2.4,1.39,4.82,2.76,7.21,4.16,3.56,1.95,1.65,1.99-.97,2.95-5.98,1.96-12.17,3.48-18.28,5.16-.53,.15-.59,.68-.11,1.01,2.67,1.83,5.43,3.55,8.12,5.33,.41,.27,.82,.57,.81,1.09-7.5,2.69-15.62,3.86-23.5,5.48-.94,.06-2.58,.57-1.46,1.48,2.26,1.87,4.61,3.62,6.92,5.44,.68,.46,1.96,1.53,.53,1.95-9.47,2.18-19.25,2.93-28.78,4.77-.08,.73,.45,1.M 1,.87,1.5,2.1,1.96,4.21,3.92,6.3,5.89,.43,.41,.94,.79,.94,1.4-3.11,1.24-6.75,1.04-10.05,1.63,.05,3.52,.1,7.05,.15,10.57,6.51-.9,13.03-1.43,19.4-3.07-.11-.33-.09-.68-.3-.9-2.49-2.77-5.65-4.88-7.87-7.89,10.12-2.07,20.27-3.44,30.23-6.08-.04-.3,.01-.55-.12-.7-2.37-2.25-5.06-4.16-7.57-6.27-.38-.3-.7-.63-.62-1.22,8.45-2.1,17.24-4.08,25.52-6.73,.14-.53-.09-.88-.54-1.17-1.06-.98-9.17-5.25-8.2-6.19,5.6-1.86,11.31-3.42,16.84-5.42,1.83-.76,3.85-.95,5.33-2.32-3.15-2.11-6.67-3.66-9.76-5.72,.15-.55,.55-.79,1.07-.97,5.9-2.03,11.6M 7-4.21,17.05-7.28,1.66-1.39-8.77-4.41-9.31-6,5.12-2.94,10.48-5.46,15.19-9.08-3.03-1.61-6.13-2.75-9.25-4.14-.49-.22-.86-.5-1.03-1.02,3.63-2.53,7.35-5.02,11.01-7.53,.95-.64,2.65-1.74,.74-2.34Zm-42.47-58.7c-.68-.32-1.27-.81-2.29-.78-2.86,3-4.95,6.92-8.42,9.27,.02-.2,.11-.46,0-.56-3.89-2.83-8.5-4.73-12.28-7.7,2.66-2.83,5.23-5.56,7.84-8.35,4.7,1.94,8.14,5.03,12.98,6.72,2.47-2.75,4.11-6.04,6.28-9.02,.4-.44,1.32-.17,1.82,.08,3.6,1.73,7.31,3.15,10.79,5.09-1.24,3.44-3.68,6.43-5.41,9.69-.75,1.16-2.16-.06-3.08-.37-2.75-1.35-5M .48-2.72-8.23-4.07Zm7.06,29.95c1.34-2.11,3.77-3.51,5.52-5.34,.6-.87,4.54-3.28,2.67-4.06-3.85-1.8-7.77-3.39-11.52-5.41,1.56-3.16,4.28-5.71,6.29-8.62,.78-1,1.08-1.08,2.23-.59,3.56,1.64,7.41,2.89,10.82,4.78,.07,.19,.19,.32,.15,.39-1.98,3.3-4.19,6.53-6.49,9.6,.33,.58,.9,.85,1.51,1.09,2.64,1.06,5.28,2.13,7.92,3.2,.64,.46,2.96,.68,2.37,1.75-2.63,3.19-5.89,5.87-8.99,8.6-.39,0-.7,.08-.91-.01-3.8-1.88-8.05-3.09-11.57-5.38Zm12.7,19.8c-3.34-1.5-6.51-2.91-9.66-4.34-.58-.37-2.42-.92-1.52-1.74,3.43-2.41,6.8-4.87,9.99-7.49,.39-.3M 1,.92-.44,1.48-.22,3.48,1.39,6.97,2.77,10.44,4.18,.32,.13,.51,.44,.75,.66-2.3,2.31-7.07,6.03-11.48,8.95Zm16.35-34.54s-.02,.05-.03,.08c.04,.01,.07,.03,.11,.04l-.08-.12Zm0,0s-.02,.05-.03,.08c.04,.01,.07,.03,.11,.04l-.08-.12Zm5.61,15.57h-.01l.15,.1-.14-.1Zm-5.61-15.57s-.02,.05-.03,.08c.04,.01,.07,.03,.11,.04l-.08-.12Zm-97.88,137.07h-.04l.09,.06s-.04-.04-.05-.06Zm-36.86-39.42c-.45-.63-1.91-1.64-.51-2.03,3.92,.03,7.86,.14,11.78,.2-.05-3.33-.09-6.67-.14-10-7.38-.08-14.73-.8-22.1-1.07-1.13,.34-.06,1.3,.35,1.81,2.44,2.7,5.M 19,5.19,7.48,8.02,0,.67-1,.62-1.52,.63-9.82-.32-19.54-1.59-29.28-2.71-2.4-.28-4.78-.62-7.18-.9-.21-.03-.56,.1-.66,.24-.1,.14-.07,.43,.06,.59,1.56,2.01,3.16,4,4.74,6.01,1,1.27,1.98,2.56,2.97,3.84,.2,.27-.12,.75-.47,.73-15.35-1.43-30.55-4.41-45.69-7.19,2.62,3.94,5.17,7.94,7.71,11.95,.11,.17,.16,.53,.04,.6-1.14,.7-2.56,0-3.78-.09-12.08-2.21-24.02-4.84-35.88-7.71-4.39-.98-8.65-2.44-13.1-3.11-.46,.09-.28,.85-.18,1.15,1.9,3.68,3.83,7.36,5.73,11.04,.21,.53,.73,1.45-.13,1.64-21.12-4.39-41.68-11.05-62.12-17.39-.12,.4-.36,.7M 3-.27,.99,1.6,4.57,3.53,9.04,5.3,13.56,.12,.3,.23,.69-.18,.86-25.18-6.2-49.34-16.37-73.72-25.1-.29-.09-.85,.28-.81,.53,.06,.32,.1,.64,.18,.96,1.26,4.85,2.71,9.65,3.81,14.54,.05,.21,.04,.42,.06,.64,.02,.26-.57,.55-.9,.42-5.25-1.96-10.52-3.87-15.72-5.91-23.94-9.11-47.48-19.27-70.75-29.81-.51-.22-1.18,.08-1.14,.51,.14,1.5,.27,3.01,.47,4.5,.37,4.59,1.65,9.28,1.57,13.8-.9,.32-1.55-.21-2.2-.5-33.99-14.84-67.29-30.94-100.03-48.14-1.09-.41-3.36-2.23-3.28,.1,.18,6.75-.36,13.62,.26,20.32,28.67,14.49,57.92,27.77,87.57,40.34,5M .84,2.46,11.71,4.87,17.57,7.3,.83,.34,1.62,.8,2.68,.66-.02-5.95-1.55-11.98-2.05-17.96-.09-.86,.29-1.3,1.43-.85,2.17,.86,4.3,1.8,6.44,2.7,25.77,11,52.09,21.01,78.69,30.09,2.85,.74,4.96,2.48,3.66-1.85-1.13-4.32-2.27-8.64-3.39-12.96-.13-.46-.19-1.44,.54-1.27,17.64,5.91,35.05,12.25,53.03,17.39,6.94,2.05,13.94,3.99,20.92,5.97,.47,.14,1.47,.39,1.63-.25-1.36-4.52-3.32-8.87-4.91-13.3-.98-2.5,1.05-1.52,2.51-1.2,19.25,5.69,38.8,10.66,58.49,14.83,.8,.08,3.05,.91,2.88-.38-1.93-4.27-4.32-8.33-6.2-12.62-.05-1.27,2.22-.19,2.98-.1M 8,16.71,3.74,33.67,7.11,50.69,9.5,.35,.03,.77-.4,.62-.65-1.88-2.98-3.77-5.95-5.64-8.93-.55-1.23-3.16-3.64-.08-3.08,14.66,2.47,29.42,4.47,44.27,5.55,1.31-.29-.09-1.49-.44-2.08-1.83-2.25-3.7-4.5-5.53-6.76-2.44-2.97-1.45-2.7,1.57-2.47,12,1.2,24.16,2.36,36.21,2.23,.16-.04,.33-.36,.28-.51-2.07-2.82-4.87-5.14-7.19-7.78Zm-80.23-1.93l-.16,.06c.07,.01,.15,.03,.22,.04-.02-.03-.04-.07-.06-.1Z"/><path class="cls-2" d="M1042.99,839.46c.02,.06,.04,.11,.05,.17-.04-.02-.09-.03-.13-.05l.08-.12Z"/><path class="cls-2" d="M1086.38,834M .09l-.03-.03s.01-.01,.02-.01v.04Z"/><path class="cls-2" d="M1211.59,762.83s-.02,.02-.02,.03c0-.01-.01-.01-.01-.01l-.03-.03h.06Z"/><path class="cls-2" d="M1387.34,896.53c-21.74-23.74-44.18-46.88-67.41-69.25-2.43-2.36-1.92,.44-1.72,2.14,.6,5.14,1.21,10.28,1.79,15.43,.01,.13-.27,.31-.44,.43-.57,.06-1.06-.64-1.49-.95-7.95-8.01-16.01-15.96-24.2-23.82-11.09-10.23-21.93-21.41-33.71-30.78-.83,.36-.3,1.35-.27,2.02,.91,4.13,1.85,8.26,2.75,12.39,.09,1.3,1.02,3-.16,4.02-16.08-15.99-33.63-30.38-50.91-45.3-.92,.89-.1,2.04,.14,3.M 04,1.81,5.29,3.63,10.57,5.43,15.85,.36,1.02,.79,2.03,.2,3.04-13.46-11.93-27.66-23.27-41.95-34.3-.57-.44-1.07-.99-1.95-1.08-.41,.52-.17,1.03,.04,1.54,2.45,5.93,4.89,11.86,7.32,17.79,.11,.44,.57,1.2,.25,1.53-.21,.05-.52,.13-.64,.05-8.27-6.27-16.5-12.7-24.93-18.89-3.53-2.65-7.16-5.23-10.76-7.83-.47-.23-1.13-.84-1.64-.64-.09,.07-.2,.21-.17,.27,2.89,6.62,5.86,13.19,8.83,19.76,.19,.41,.32,.8-.09,1.27-10.35-7.23-20.55-14.65-31.16-21.55-.52-.26-1.1-.8-1.71-.74-.31,.11-.35,.29-.23,.53,1.37,2.7,2.76,5.38,4.08,8.09,1.95,4.01,M 3.85,8.04,5.74,12.07,.07,.14-.11,.38-.21,.56-8.28-4.76-16.11-10.79-24.51-15.72-2.17-1.13-5.84-4.33-3.16,.62,2.76,5.49,5.54,10.97,8.3,16.47,.35,.69,.64,1.41,.93,2.13,.03,.06-.11,.19-.21,.24-.66,.17-1.41-.57-2.01-.83-6.69-4.17-13.37-8.35-20.31-12.27-1.92-.93-3.88-2.45-2.11,.97,2.82,5.59,5.67,11.17,8.5,16.76,.35,1.13,1.8,2.53,.69,3.59-6.83-4.44-14.11-8.69-21.62-12.13-.43,.02-.23,.8-.14,1.07,2.97,6.09,5.97,12.17,8.96,18.26,.42,1.24,1.81,2.65,.77,3.9,.05-.05,.1-.11,.17-.18-.06,.07-.11,.13-.15,.2-.01,0-.01-.01-.02-.01h0cM -5.3-3.62-11.3-6.18-16.99-9.18-.73-.32-2.73-1.58-2.56-.07,3.84,7.88,7.24,15.95,10.7,23.99,.18,.41,.27,.82-.2,1.27-5.95-2.84-11.5-6.44-17.52-9.14-.37-.17-.67,.3-.65,.57,3.5,9.37,7.53,18.58,11,27.98,.15,.41,.33,.82,0,1.33-5.69-2.04-10.83-5.67-16.56-7.73-.19-.06-.53,.16-.51,.35,1.43,4.72,3.44,9.27,5.03,13.94,7.26,23.23,10.36,18.23-10.94,10.03,3.39,10.99,7.11,21.95,9.76,33.12-.35,1.3-2.49-.4-3.33-.54-3.35-1.39-6.68-2.79-10.04-4.16-.55-.22-1.13-.55-1.97-.29,2.12,9.72,4.78,19.39,6.92,29.11,.38,1.58,.66,3.19,.95,4.78,.1,.M 52,.22,1.07-.2,1.57-.86,.16-1.52-.29-2.23-.56-3.28-1.25-6.55-2.52-9.82-3.79-.72-.37-2.53-.94-2.49,.24,1.75,11.77,4.39,23.4,5.74,35.23,.11,.84,.4,1.7-.1,2.51-.74,.2-1.32-.11-1.93-.32-3.46-1.19-6.92-2.39-10.39-3.57-.77-.27-2.34-.72-2.28,.6,1.31,13.84,3.16,27.68,3.32,41.59-.61,.18-1.1,.42-1.6,.46-5.3,.35-11.66,1.78-14.03,1.53-.44-.75-.42-1.63-.43-2.49-.1-4.33-.3-8.66-.58-12.99-1.03,5.69-2.42,11.26-4.19,16.74,1.21-.04,4.49-1.5,4.8,.28,.48,14.86,.25,29.73-.29,44.59-.14,1.79,.53,1.87,2.24,1.77,4.42-.37,8.84-.75,13.26-1.1M 3,.82-.07,1.71-.31,1.67-1.07,.28-12.39,.21-24.78-.3-37.16-.07-3.02-.34-6.03-.29-9.05,.25-1.2,1.83-.46,2.6-.22,3.19,1.16,6.37,2.32,9.55,3.5,.96,.23,3.32,1.89,3.53,.21-.57-13.57-2.37-27.08-3.81-40.59-.42-2.24,1.21-1.45,2.54-.93,4.11,1.57,8.05,3.59,12.26,4.87,.32,.07,.56-.08,.56-.32,.05-3.13-.92-6.19-1.26-9.29-1.08-7.49-2.38-14.95-3.94-22.39-.38-1.8-.7-3.61-1.02-5.43-.09-.51-.24-1.05,.23-1.52,.88-.11,1.55,.29,2.24,.61,3.74,1.71,7.46,3.45,11.2,5.16,.47,.15,1.37,.65,1.78,.36,.07-.3,.18-.62,.13-.92-1.05-5.87-2.46-11.68-3M .88-17.49-1.37-5.6-2.82-11.19-4.21-16.78-.05-.24,.02-.75,.28-.84,5.43,1.71,10.29,5.17,15.62,7.25,1.17,.36-.25-3.18-.29-3.81-2.73-9.32-5.28-18.69-8.39-27.94-.17-.51-.18-1.06-.24-1.59-.01-.09,.09-.26,.17-.28,.23-.06,.55-.14,.72-.06,4.84,2.28,9.41,5.01,14.12,7.53,2.29,1.25,2.2,.59,1.62-1.55-3.09-9.81-6.74-19.48-10.02-29.26,.38-1.08,2.22,.46,2.87,.7,4.91,2.83,9.76,5.77,14.69,8.56,.5,.27,1.01,.07,1.49-.11-.75-.78-.92-1.75-1.25-2.66-2.95-8.28-6.14-16.49-9.43-24.69-1.77-4.12-.27-2.76,2.44-1.33,5.73,3.4,11.05,7.33,16.91,10M .49,.1-.18,.31-.36,.27-.5-.3-.93-.62-1.87-.98-2.79-3.06-7.8-6.23-15.58-9.65-23.28-.88-2,.02-1.78,1.51-1,6.1,3.37,11.92,7.03,17.5,10.94,.81,.44,1.65,1.32,2.58,1.43,.11-.17,.29-.39,.23-.55-.29-.82-.62-1.64-.98-2.45-2.97-6.81-6.2-13.52-9.03-20.38-.06-.14,.16-.36,.29-.53,.81,.12,1.59,.81,2.34,1.19,6.59,4.09,13.07,8.31,19.44,12.63,.7,.48,1.3,1.1,2.3,1.25,.51-.77-.28-1.62-.51-2.4-2.72-5.96-5.45-11.92-8.18-17.88-.32-.71-.62-1.42-.91-2.14-.02-.05,.13-.19,.24-.23,.1-.05,.29-.07,.37-.03,1.58,.99,3.22,1.93,4.73,2.99,7.2,5.03,M 14.37,10.09,21.55,15.14,.32,.27,1.05,.69,1.25,.12-.19-.63-.35-1.26-.62-1.86-2.67-5.98-5.35-11.95-8.03-17.93-.18-.68-.89-1.46-.28-2.07,.58-.12,1.14,.56,1.64,.82,9.41,6.62,18.58,13.44,27.5,20.47,.8,.49,1.44,1.51,2.47,1.38,.07-.01,.2-.18,.17-.25-2.37-6.42-5.3-12.65-7.88-18.99-.29-.87-1.01-1.74-.45-2.63,12.74,8.61,24.14,19.34,36.26,28.33,.14-.14,.35-.33,.31-.47-.2-.73-.44-1.46-.72-2.18-2.1-5.56-4.21-11.11-6.31-16.67-.26-.89-1-1.89-.21-2.72,11.26,9.39,22.63,18.71,33.4,28.47,2.51,2.25,5.03,4.49,7.56,6.73,.33,.2,.87,.66,1M .27,.47,.03-.31,.13-.65,.03-.94-1.96-6.15-3.95-12.29-5.91-18.44-.17-.52-.21-1.05-.28-1.58-.01-.09,.07-.23,.17-.29,.45-.12,.97,.34,1.31,.56,15.08,13.24,29.93,26.87,44.17,40.78,1.02,1,2.05,1.99,3.1,2.97,.16,.08,.85,.13,.81-.27-1.27-6.93-3.44-13.7-4.66-20.62,.05-.18,.46-.26,.61-.16,2.32,2.09,4.7,4.14,6.93,6.29,16.5,15.92,32.69,32.04,48.19,48.6,.59,.47,1.2,1.45,1.92,1.52,.19-.11,.51-.28,.49-.41-.54-6.12-1.43-12.2-1.78-18.33,.04-.15,.52-.26,.63-.19,.65,.53,1.34,1.05,1.91,1.64,21.78,22.1,42.81,45.14,63.44,68.12,.25,.25,.M 91,.13,.86-.24-.02-6.89-.04-13.77-.06-20.78Zm-293.02-121.3s-.03-.03-.04-.05l.22-.12s-.18,.16-.18,.17Zm59.12-8.89s.1-.13,.12-.13c.11,.03,.21,.08,.32,.11-.12,.15-.27,.15-.44,.02Zm29.62,6.4s-.05,0-.07,0c.06-.04,.12-.09,.19-.15,.01,.01,.03,.02,.04,.03-.05,.04-.1,.08-.16,.12Zm34.33,12.1s.03-.01,.04-.01c.01,.02,.02,.05,.03,.08l-.07-.07Zm45.16,23.4s-.04-.05-.06-.07l.14-.07s-.08,.13-.08,.14Zm-288.87,222.34c.04,.89-.85,3.53,.51,3.56,5.72-1.76,10.86-4.98,16.73-6.33h.02c1.06-1.44,.63-3.54,.92-5.25,.28-6.07,.66-12.14,.88-18.22M -5.33,9.44-11.75,18.24-19.06,26.24Zm-10.05-77.75c-2.13,1.2-2.17,.53-2.23-1.56-.1-9.8-.5-19.6-1.05-29.39-.21-.98,.14-4.3-1.5-3.82-4.06,2.61-7.7,5.74-11.7,8.42-.23,.15-.98-.06-1-.29-.78-10-1.4-20.02-2.74-29.96,0-.1-.07-.26-.16-.29-.75-.39-1.36,.3-1.91,.7-3.08,2.72-6.1,5.47-9.17,8.19-.64,.56-1.21,.22-1.43-.34-.32-2.68-.66-5.36-.91-8.05-.7-5.98-.98-12.1-2.56-17.94-.07-.24-.41-.34-.64-.15-3.09,2.59-5.58,5.81-8.42,8.65-.7,.64-1.12,1.42-2.23,1.21-.99-5.82-1.74-11.75-2.65-17.59-.24-1.61-.6-3.2-.96-4.79-.07-.29-.33-.65-.63-M .77-.19-.07-.73,.21-.92,.44-2.76,3.32-5.34,6.74-8.16,10.01-.15,.17-.66,.13-1.06,.19-1.17-6.06-2.3-12.02-3.46-17.98-.22-.65-.33-2.03-.89-2.41-.93-.07-1.27,.91-1.78,1.49-1.93,2.71-3.84,5.44-5.77,8.15-.5,.52-.95,1.62-1.69,1.71-.1,0-.25-.08-.27-.15-.23-.61-.54-1.22-.64-1.85-.98-5.24-2.02-10.81-3.86-15.76-.94,0-1.29,.93-1.77,1.55-2.29,3.4-4.15,7.1-6.7,10.29-.13,.12-.57,.11-.67-.03-.33-1.04-.68-2.08-.94-3.13-.87-3.48-1.71-6.97-2.57-10.46-.18-.72-.3-1.47-1.07-2-.67,.26-.91,.77-1.19,1.25-1.93,3.32-3.85,6.65-5.79,9.96-.33,.M 58-.56,1.22-1.33,1.56-.69-.28-.84-.8-.96-1.34-.82-3.71-2-7.36-3.24-11-.17-.35-.23-.95-.63-1.1-.25,.03-.64,.04-.71,.16-1.4,2.44-2.78,4.89-4.15,7.34-.99,1.77-1.93,3.56-2.96,5.31-.12,.2-.63,.25-1.05,.4-1.33-3.71-2.49-7.29-3.78-10.98-.14-.41-.39-.78-1.07-.96-2.51,3.84-4.41,8.07-6.7,12.06-.41,.54-.76,1.61-1.43,1.82-.56-.13-.75-.87-1-1.31-1.13-2.98-2.14-6-3.53-8.9-1.06-.09-1.23,.77-1.95,1.8-2.42,4.08-4.48,8.36-7.11,12.31-.14,.14-.77,.37-.96,.08-.91-1.92-1.77-3.87-2.66-5.81-2.65,1.95-5.18,4.07-7.6,6.34-1.05,1.86-2.08,3.68M -3.3,5.44-.67,.69-1.26,.15-1.54-.59-4.34,4.64-8.33,9.78-12.08,15.36,.45,.85,.9,1.7,1.34,2.55,1.04,.04,1.4-.79,1.94-1.47,2.59-3.9,5.15-7.81,7.75-11.7,.5-.75,.81-1.61,1.85-2.21,2.02,2.49,2.61,5.86,4.22,8.65,.07,.14,.35,.24,.55,.32,.77-.31,1.38-1.72,1.92-2.4,2.18-3.58,4.33-7.17,6.48-10.77,.34-.58,.62-1.19,1.41-1.67,1.87,2.39,2.33,5.98,3.55,8.8,.18,.52,.16,1.26,.85,1.37,1.01,.14,1.04-.77,1.44-1.26,.37-.44,.62-.95,.91-1.44,2.39-3.7,4.24-7.81,7.01-11.23,1.49-.67,3.02,8.4,3.59,9.79,.17,.63,.26,1.29,.93,1.74,.73-.17,.96-.6M 9,1.24-1.15,2.04-3.4,4.05-6.8,6.1-10.2,.42-.47,1.31-2.56,2.02-1.94,1.85,4.22,1.94,8.87,3.56,13.14,.77,.04,1.08-.32,1.31-.71,2.19-3.58,4.36-7.17,6.54-10.75,.34-.57,.57-1.21,1.32-1.57,.68,.28,.8,.82,.91,1.33,1.02,4.63,2.09,9.31,2.89,13.97,.72,.16,1.08-.12,1.35-.52,2.54-3.8,4.95-7.66,7.54-11.43,.16-.2,.65-.24,1.09-.39,1.49,5.68,1.61,11.66,3.32,17.27,.78,1.69,7.29-9.28,8.43-10.4,.28-.34,.87-1.08,1.33-1,.2,.28,.47,.55,.53,.85,.93,4.35,1.45,8.75,2.07,13.14,.28,1.91,.44,3.9,.76,5.78,.14,.14,.33,.36,.5,.36,.22,0,.51-.13,.6M 5-.28,2.27-2.65,4.32-5.45,6.51-8.17,.68-.66,2.34-3.72,3.22-2.36,1.21,7.25,1.93,14.56,2.64,21.85,.07,.4,.43,1.03,.91,.75,3.12-2.89,5.76-6.22,8.69-9.3,.52-.41,.99-1.28,1.71-1.23,.1,.03,.25,.1,.26,.17,.23,1.17,.54,2.33,.64,3.5,.57,7.09,1.09,14.19,1.64,21.28,.08,2.32,1.24,1.31,2.38,.3,2.55-2.36,5.08-4.75,7.63-7.12,.74-.52,1.71-2.06,2.67-1.2,.87,9.75,1.05,19.58,1.32,29.37,.12,1.19,1.38,.62,1.92,.1,3.72-2.8,7.16-5.97,11.09-8.48,.77-.09,.85,.95,.88,1.52,.36,9.69,.72,19.38,.33,29.08,.05,1.71-.98,6.07,2.06,3.61,4.05-2.49,7.M 83-5.39,12.06-7.58,.76-.08,.82,.99,.83,1.55,0,6.12,.01,12.25-.18,18.37,3.48-7.92,5.83-16.26,6.97-24.81-1.52,.92-3.03,1.83-4.55,2.74Zm-1.1-46.66c-1.42-3.56-3.07-7.03-4.93-10.4,1.01,6.76,1.24,13.64,2.26,20.38,.06,.25,.73,.43,1.01,.25,1.44-.93,2.87-1.84,4.27-2.81-.75-2.47-1.62-4.94-2.61-7.42Zm-22.68-33.58c1.41,6.41,2.14,12.89,3.02,19.37,.11,.74,.11,1.51,.78,2.12,.26-.06,.57-.07,.75-.2,2.72-2.09,5.27-4.38,7.94-6.53-3.67-5.28-7.87-10.22-12.49-14.76Zm-15.81-12.89c1.41,5.49,1.83,11.17,3.39,16.58,.21,.25,.81-.01,.99-.15,2.M 46-2.46,4.88-4.92,7.34-7.37-3.7-3.27-7.62-6.3-11.72-9.06Zm-14.73-8.32c1.09,3.76,1.31,7.74,2.78,11.38,.02,.04,.25,.1,.31,.06,2.44-1.67,3.92-4.54,5.98-6.67-2.95-1.74-5.98-3.33-9.07-4.77Zm-14.07-5.41c.54,1.08,1.31,8.02,2.86,6.92,1.29-1.5,2.32-3.17,3.5-4.76-2.1-.79-4.22-1.51-6.36-2.16Zm-13.29-3.08c.34,1.18,.68,2.36,1.01,3.54,.33,0,.68,.08,.78,0,.86-.81,1.35-1.88,2-2.84-1.26-.26-2.53-.49-3.79-.69Zm-13.07-1.2c.14,.41,.27,.81,.41,1.22,.97,.02,1.13-.52,1.59-1.16-.66-.03-1.33-.05-2-.06Zm-116.63,28.07c-1.9-1.56-2.71,.52-3.83M ,1.88-3.33,4.36-6.92,8.59-10.85,12.55-2.27-1.25-4.3-2.56-6.49-3.89,.42,3.14,.91,6.25,1.45,9.35,1.28-1.32,2.56-2.64,3.85-3.96,.39-.4,.69-.94,1.68-.93,1.63,.93,3.3,2.21,4.85,3.4,3.01-6.04,6.27-12.1,9.85-18.07-.17-.11-.34-.22-.51-.33Z"/><path class="cls-2" d="M1177.17,467.11c1.65,6,2.76,12.12,4.1,18.19-26.22-7.51-52.82-13.98-79.7-18.86-1.5-.04-.91,1.14-.64,1.98,1.29,4.39,3.25,8.66,4.14,13.12-.38,.67-1.51,.27-2.15,.22-14.37-2.87-28.78-5.58-43.32-7.85-6.61-1.03-13.24-1.93-19.89-2.78-.66-.08-1.34-.14-2.11,.21,1.36,4.76,4M .45,8.92,5.8,13.74-18.66-1.74-37.35-4.77-56.16-5.35-.53-.02-.99,.51-.8,.89,1.75,3.28,3.7,6.45,5.51,9.7,.24,.56,1.04,1.62,.27,1.97-5.76,.21-11.54-.63-17.31-.82-9.42-.55-18.85-.54-28.28-.54-2.44,.05-2.54,.4-1.15,2.33,1.94,2.71,3.91,5.41,5.86,8.11,.27,.39-.07,.96-.58,.99-11.84,.38-23.71,.05-35.53,1.07-.92,.24-4.95-.04-4.52,1.13,2.3,3.09,5.48,5.5,7.63,8.69,.09,1.13-1.78,.8-2.53,.96-5.92,.17-11.79,.9-17.69,1.4-4.74,.69-9.69,.7-14.3,1.87-1.66,.58,6.48,6.7,7.14,7.74,.35,.33,.67,.67,.49,1.35-9.66,1.45-19.86,2.52-29.35,4.82M -.26,.57,.02,.91,.42,1.23,2.32,1.8,4.64,3.6,6.95,5.41,.48,.37,1.01,.72,1.11,1.43-1.85,.92-4.06,.96-6.06,1.41-6.29,1.2-12.51,2.54-18.61,4.29-.87,.27-1.04,.71-.39,1.14,1.96,1.32,3.94,2.61,5.9,3.92,3.52,2.42,4.41,2.41-.37,3.56-5.38,1.39-10.74,2.83-15.98,4.54-2.47,.86-3.59,1.01-.61,2.65,2.5,1.47,5.08,2.81,7.52,4.37,.42,.27,.28,.8-.29,1.01-3.71,1.29-7.47,2.45-11.16,3.76-1.97,.69-3.89,1.48-5.79,2.28-1.39,.58-1.36,1.06,.06,1.79,2.86,1.41,5.7,2.86,8.54,4.31,.46,.24,.43,.86-.04,1.06-5.08,2.19-10.46,4.38-14.98,7.46,.16,.55,.M 56,.81,1.05,1.02,2.48,1.08,4.97,2.16,7.44,3.26,.55,.37,2.03,.67,1.75,1.48-3.86,3.07-8.49,5.19-12.25,8.36-.21,.35,.63,.74,.89,.9,3.11,1.29,6.23,2.55,9.34,3.84,.48,.2,.93,.42,1.65,.24,13.08-9.9,18.62-5.09,4.33-12.22-.78-.54-2.13-.65-2.18-1.75,17.35-9.18,21.77-3.25,5.15-12.76,.25-.66,.85-.86,1.47-1.06,5.72-1.79,11.47-3.6,17.19-5.38-.06-.6-.44-.89-.88-1.15-1.51-.9-3.03-1.8-4.54-2.7-1.4-.84-2.82-1.66-4.18-2.54-.23-.15-.2-.55-.3-.87,6.39-1.89,12.89-3.19,19.34-4.85,.57-.22,2.36-.3,1.81-1.2-2.94-2.05-5.95-4.05-8.88-6.1-.24M -.18-.28-.54-.46-.91,8.32-2.11,16.78-3.13,25.2-4.82,.1-.02,.22-.44,.12-.53-2.87-2.45-5.95-4.68-8.91-7.01-.67-.98,1.6-1.06,2.18-1.25,5.18-.69,10.36-1.36,15.55-2.01,2.26-.28,4.54-.46,6.81-.71,1.58-.17,3.26,.1,4.69-.68,.76-.76-5.54-5.62-6.84-6.94-.54-.59-1.42-1.02-1.39-1.88,3.48-1.19,7.43-.93,11.08-1.38,7.62-.74,15.35-.54,22.95-1.14,2-.91-8.96-9.08-7.04-10.08,12.95-1.04,26.11-.56,39.12-.22,.53,.03,1.01-.53,.76-.88-2.26-3.2-4.66-6.31-7.07-9.41-.4-.52,.03-1.09,.82-1.07,9.16,.04,18.29,.61,27.43,1.28,6.19,.3,12.3,1.24,18.M 49,1.45,.37,.02,.78-.41,.65-.66-1.69-3.2-3.78-6.18-5.64-9.29-.3-.73-1.73-2.12-.41-2.48,5.24,.18,10.43,.78,15.63,1.4,13.22,1.13,26.23,3.82,39.39,5.31,.14,0,.45-.33,.41-.45-1.37-3.74-3.26-7.28-4.92-10.91-1.26-2.62-.68-2.7,2.55-2.3,20.29,3.22,40.4,7.23,60.36,11.92,.64,.15,1.31,.21,1.97,.3,.37,.05,.81-.31,.75-.59-1.25-4.86-3.52-9.46-4.65-14.35,.18-.92,1.74-.37,2.39-.29,25.73,5.56,51.04,12.62,76.24,20.01,.51-.42,.52-.84,.42-1.26-1.26-5.51-2.6-11-3.94-16.48,31.83,8.92,63.17,19.45,94.08,30.86,.29,.1,.91-.23,.89-.48-.21-2.M 25-.41-4.5-.65-6.75-.37-3.32-.78-6.64-1.15-9.97,.03-.67-.25-1.78,.7-1.89,37.03,12.4,72.93,27.34,108.61,42.7,1.69,.74,4.04,1.41,3.6,3.69,.01,5.92,.02,11.84,.02,17.77,0,.72,.03,1.92-1.02,1.72-19.57-8.74-39.06-17.79-59.03-26.03-16.34-6.81-32.8-13.57-49.5-19.73-.49-.17-1.08,.18-1.05,.63,.09,1.29,.17,2.58,.32,3.86,.46,4.71,1.4,9.43,1.63,14.13-.47,.98-2.01-.1-2.78-.27-10.02-3.98-20.07-7.85-30.18-11.65-19.31-7.06-38.85-14.01-58.71-19.88-.51-.13-1.09,.29-1,.74,.27,1.38,.54,2.76,.86,4.13,1.11,4.2,1.85,8.53,3.23,12.64l.14-.0M 5c-25.73-8.17-51.52-16.25-77.93-22.46-.72,.58-.42,1.15-.21,1.87,1.74,4.74,3.49,9.47,5.24,14.2l.1-.13c-21.71-5.45-43.54-11.01-65.68-14.53-.81,.25-.22,1.13-.02,1.66,1.86,3.81,3.84,7.57,5.63,11.41,.36,1.37-1.93,.72-2.72,.55-15.83-3.1-31.87-5.52-47.87-7.74-1.53-.12-3.17-.73-4.65-.06-.14,.82,.52,1.42,.93,2.08,1.69,2.69,3.4,5.38,5.1,8.07,.33,.7,1.48,1.87,.15,2.16-15.34-1.75-30.72-3.85-46.18-4.12,.07,.43,0,.79,.18,1.03,1.17,1.57,2.41,3.11,3.61,4.67,1.13,1.47,2.26,2.93,3.37,4.41,.27,.36,.48,.76,.19,1.29-12.31-.83-24.66-1.4M 6-37.03-1.35-.79,0-1.59,.11-2.37,.23-.16,.02-.38,.36-.34,.5,2.25,3.21,5.48,5.78,7.89,8.93,.18,.21-.14,.75-.44,.76-11.04,.49-22.48-.48-33.31,1.24-.27,.31-.06,.62,.21,.86,.8,.73,1.61,1.45,2.42,2.17,1.95,1.78,4.04,3.42,5.86,5.34,.2,.21,.03,.77-.24,.81-3.07,.33-6.17,.44-9.25,.62-5.79,.26-11.51,1.02-17.26,1.56-1.68,.4-3.28,.32-1.06,1.98,2.58,2.05,5.17,4.09,7.76,6.13,.46,.36,.27,.85-.36,.96-7.72,.95-15.42,1.94-23.03,3.36-.48,.12-1.4,.35-1.17,.96,3.08,2.26,6.26,4.4,9.38,6.6,.47,.57-.54,.98-1.01,1.05-6.86,1.1-13.69,2.36-20M .35,4.28,.85,1.65,2.94,2.14,4.39,3.23,1.73,1.03,3.47,2.04,5.21,3.06,.44,.26,.79,.57,.88,1.13-5.56,1.56-11.29,2.8-16.75,4.6-.5,.25-1.76,.39-1.48,1.13,3.29,2.45,7.48,3.78,10.64,6.34-.29,.54-.92,.71-1.53,.92-3.97,1.34-7.94,2.67-11.89,4.03-.91,.43-2.1,.53-2.53,1.51,3.67,2.31,8.05,3.84,11.55,6.39-.99,.96-2.36,1.19-3.54,1.66-3.38,1.35-6.6,2.9-9.63,4.7-.73,.92,1.17,1.32,1.73,1.75,3.05,1.58,6.22,2.96,9.16,4.72,1.36,1.09-2.66,2.34-3.35,2.99-2.55,1.43-4.74,3.17-6.8,4.93,.05,.58,.45,.83,.93,1.06,3.51,1.8,7.18,3.35,10.55,5.37,M .65,.68-.74,1.31-1.13,1.81-2.08,1.84-4.17,3.66-6.25,5.5-.44,.51-1.58,1.26-.7,1.9,3.81,2.02,7.68,3.95,11.44,6.06,.61,.33,.39,1-.01,1.42-2.36,2.74-4.54,5.65-7.03,8.28l.14-.06c-4.31-2.21-8.61-4.44-13.11-6.39,2.38-3.11,4.98-6.15,7.24-9.3-.12-.87-1.21-1.06-1.88-1.48-2.91-1.34-5.83-2.67-8.76-4-.59-.27-1.19-.5-1.47-1.17,2.13-2.33,4.68-4.39,6.99-6.56,.53-.7,2.75-1.66,1.35-2.53-3.98-1.54-7.69-3.95-11.84-4.89-3.38,2.75-6.63,5.6-9.4,8.83,.3,.29,.48,.61,.79,.75,3.46,1.43,6.96,2.8,10.41,4.26,.79,.33,.91,.73,.5,1.31-1.85,2.62-3.M 7,5.24-5.55,7.87-.33,.63-.95,1.18-1.71,1.12-3.97-1.06-7.72-3.15-11.76-3.97-.27,.25-.5,.39-.6,.57-1.62,3.3-3.51,6.51-4.96,9.87-.01,.33,.08,.66,.48,.81,3.9,1.44,7.81,2.86,11.71,4.3-1.94,2.84-2.82,6.26-4.34,9.34-.26,.59-.36,1.27-1.27,1.69-14.89-4.1-10.4-6.74-15.5,7.95-.08,.22-.69,.46-1,.39-3.75-.79-7.41-2.09-11.23-2.46,1.63-3.84,2.27-7.93,3.59-11.87,.11-.39,.77-.7,1.27-.6,1.29,.28,2.59,.55,3.86,.88,1.78,.47,3.54,1,5.31,1.5,.61,.17,1.46,.56,1.83,.05,1.95-3.46,2.84-7.33,4.56-10.88-.22-.25-.32-.51-.52-.58-3.83-1.04-7.44-M 2.73-11.4-3.22-2.17,3.85-2.81,7.77-4.85,11.69-4.03-.65-7.8-1.77-11.69-2.54,1.1-3.55,2.27-7.08,3.48-10.6,.21-.61,.41-1.26,1.24-1.71,3.73,.54,7.39,1.98,11.11,2.55,1.42-.13,1.43-1.9,2.06-2.87,1.11-2.31,2.23-4.61,3.37-6.91,.25-.49,.54-.99,1.32-1.3,15.54,3.54,9,7.33,18.66-6.56-.11-.52-.46-.81-.98-1-3.07-1.09-6.14-2.19-9.22-3.27-.63-.22-1.22-.44-1.64-1.03,2.49-2.94,5.45-5.56,8.18-8.3,.42-.41,.87-.81,.85-1.52-3.8-1.45-7.63-2.98-11.69-4.12l.14,.16c2.19-2.61,5.15-4.76,7.82-6.95,1.12-1.02,2.89-1.6,3.35-3.08-1.15-.96-2.75-1.2M 7-4.17-1.84-2.36-.82-4.64-2.05-7.09-2.53-4.21,2.81-7.91,6.62-11.77,9.88-3.69-.4-7.14-2.11-10.74-3.03-.55-.17-.69-.67-.32-1.06,3.21-3.47,7.13-6.43,10.56-9.75,.14-.72-1.03-.91-1.54-1.18-2.45-.89-4.91-1.76-7.37-2.64-.5-.18-.89-.43-1.01-1,4.11-3.58,8.65-6.76,13.02-10.12-.3-.29-.47-.6-.77-.73-2.92-1.24-5.96-2.47-8.88-3.67-.26-.58,.14-.89,.52-1.15,1.62-1.14,3.21-2.3,4.9-3.37,3.21-2.13,6.68-3.95,9.79-6.23,.12-.09,.11-.46-.01-.55-2.35-1.49-5.04-2.49-7.51-3.78-1.66-.81-1.7-1.16-.2-2.06,5.19-3.09,10.49-6.04,16.05-8.69,.46-.2M 2,.87-.47,.88-1.03-2.65-2.05-6.14-3.37-8.75-5.63,6.05-3.57,12.7-5.72,19.28-8.26,1.09-.39,2.31-.63,3.15-1.39,.08-1.44-9.54-6.02-7.94-7.1,8.19-3.63,17.05-5.76,25.55-8.74,1.31-.7-6.36-6.24-7.22-7.32-.23-.21-.12-.72,.17-.85,9.68-3.44,19.92-5.22,29.79-8.04,1.45-.39-2.32-3.34-2.82-4.21-1.25-1.4-2.5-2.8-3.74-4.21-.31-.36-.07-.92,.46-1.04,11.58-2.89,23.4-4.74,35.17-6.89,.12-.84-.48-1.33-.89-1.87-1.96-2.81-4.4-5.36-6.02-8.38l-.16,.1c14.15-2.78,28.62-4.06,43-5.28,2.3,3.65,4.94,7.12,6.98,10.92,.07,.15-.14,.38-.22,.58-11.52,.7M 6-23.05,1.71-34.54,2.97-1.74,.18-3.46,.44-5.18,.7-.63,.1-1.32,.18-1.69,.72,.04,.68,.58,1.19,1,1.73,1.79,2.28,3.6,4.55,5.41,6.82,.3,.37,.54,.74,.33,1.31-11.65,1.88-23.61,2.95-34.99,5.93-1.78,.71,7.47,7.36,7.27,8.85-9.17,2.4-18.73,3.87-27.85,6.44-3.35,.84-3.1,1.13-.79,3.03,2.05,1.71,4.16,3.35,6.14,5.13,.76,1.15-2.92,1.39-3.66,1.79-6.63,1.79-13.22,3.68-19.69,5.82-.84,.28-1.78,.44-2.44,1.12,2.15,2.53,5.55,4,8.13,6.15,.25,.18,.28,.55,.45,.9-6.44,2.29-12.85,4.49-19.21,6.92-3.87,1.5-4.07,1.43-.44,3.45,2.07,1.2,4.22,2.27,6M .18,3.63,.99,.97-2.59,1.83-3.24,2.27-5.11,2.17-10.06,4.49-14.61,7.45-.1,.09-.03,.42,.11,.53,1.99,1.35,4.36,2.13,6.5,3.23,.65,.52,3.78,1.14,2.37,2.23-4.81,2.73-9.51,5.63-14.17,8.59-.44,.28-.73,.61-.64,1.13,3.15,1.59,6.76,2.59,9.87,4.3,.07,.04,.05,.16,.11,.36-4.32,2.98-8.69,5.97-12.72,9.33-.27,.21-.18,.74,.13,.86,3.29,1.22,6.58,2.45,9.89,3.63,.51,.18,1.03-.08,1.46-.37,3.89-2.66,7.8-5.31,11.68-7.97,.37-.35,.83-.59,.73-1.17-3.03-1.56-6.32-2.78-9.44-4.19-.9-.43,.07-1.15,.61-1.45,4.02-2.54,8.14-4.97,12.46-7.17,.46-.32,1.M 72-.62,1.25-1.33-2.7-1.66-5.66-2.91-8.47-4.38-.99-.5-1.04-.98-.17-1.46,4.02-2.3,8.48-3.75,12.76-5.55,.73-.52,6.03-1.49,4.83-2.59-2.81-1.67-5.7-3.26-8.52-4.91-1.05-.62-.92-1.08,.39-1.58,6.75-2.46,13.65-4.6,20.57-6.67,1.14-.82-1.82-1.97-2.33-2.55-1.86-1.24-3.74-2.47-5.62-3.7-.41-.27-.77-.57-.7-1.12,8.3-2.88,17.02-4.64,25.58-6.81,.48-.57-.52-1.14-.9-1.53-2.08-1.69-4.18-3.36-6.26-5.05-.46-.38-1.04-.71-1.13-1.3,.62-.64,1.57-.72,2.45-.92,9.02-2.22,18.29-3.53,27.44-5.36,1.43-.98-7.8-7.1-7.62-8.79,11.14-2.9,22.98-3.31,34.4M 3-4.74,.56-.06,.88-.57,.55-.95-1.34-1.61-2.7-3.22-4.05-4.83-1.04-1.25-2.07-2.52-3.1-3.78-.2-.24,.03-.73,.37-.79,13.5-1.72,27.1-2.27,40.71-2.64,.04-.37,.22-.73,.08-.96-.79-1.25-1.67-2.46-2.51-3.68-1.23-1.79-2.45-3.59-3.67-5.39-.26-.38-.48-.77-.25-1.27,15.63-1.46,31.46-.49,47.14-.08,1.44,0,1.77-.33,1.25-1.3-1.9-3.57-3.96-7.05-5.76-10.67-.21-.43,.18-.91,.73-.9,8.08,.09,16.14,.64,24.21,1.13,10.61,.59,21.14,1.95,31.73,2.8,1.05-.2,.58-1.25,.33-1.94-1.78-4.18-3.58-8.35-5.37-12.52l-.1,.09c22.47,2.16,44.81,5.41,67.02,9.44,1M .82,.37,2.1-.24,1.61-1.86-1.21-4.69-3.51-9.28-3.8-14.14l-.12,.09c27.43,4.94,54.94,10.13,81.78,17.46l-.07-.08Zm-349.4,139.33c-4.1,2.98-7.95,5.57-11.34,8.86,.17,.45,.45,.55,.83,.75,3.71,1.44,7.33,3.03,11.13,4.45,3.58-2.64,7.05-5.3,10.61-7.95,.38-.29,.32-.89-.13-1.11-3.52-1.75-7.14-3.35-11.11-4.99Z"/><path class="cls-2" d="M641.76,706.88c-14.18-3.53-9.5-6.92-13.04,8.74-.01,.61-.64,1.12-1.28,.89-3.02-1.15-6.05-2.3-9.02-3.58-1.14-.38-1.45,.95-1.63,1.77-.63,2.75-1.22,5.51-1.86,8.26-.16,.72-.23,1.5-1.01,2.03-.89,.07-1.54-M .38-2.21-.7-2.65-1.28-5.27-2.61-7.9-3.91-.32-.16-.87-.01-1,.26-1.4,3.32-1.98,6.94-3.27,10.31-.19,.55-1,.71-1.6,.31-2.91-1.87-5.6-4.02-8.37-6.07-.49-.36-.92-.8-1.64-.89-.65,.28-.84,.79-1.04,1.3-1.19,2.97-2.11,6.05-3.64,8.88-.81,.77-1.87-.48-2.57-.91-3.08-2.39-5.9-5.09-9.13-7.28-.14-.08-.6-.02-.67,.08-1.65,2.55-2.85,5.34-4.33,7.99-.31,.58-.57,1.19-1.25,1.59-.76-.04-1.2-.46-1.64-.86-2.23-2.01-4.45-4.04-6.66-6.06-1.37-1.13-2.27-2.56-3.97-3.26-2.41,2.85-4.01,6.24-6.61,8.87-.78,.41-1.39-.57-1.97-.94,.02,1.16,.04,2.33,.05M ,3.49,.65-.58,1.41-1.87,2.36-1.06,3.64,3.34,7.37,6.57,11.09,9.82,1.38,1.01,1.98-1.23,2.71-2.01,1.46-2.23,2.9-4.61,4.37-6.8,.74-.28,1.11,.08,1.46,.35,3.64,2.79,7.03,6.06,10.95,8.42,.7-.4,.96-.89,1.2-1.4,1.55-2.8,2.47-6.03,4.41-8.57,.37,.05,.57,.07,.84,.23,3.65,2.52,7.3,5.06,10.94,7.59-.99,3.34-2.88,6.65-4.19,9.98-.09,.19-.24,.39-.44,.53-.69,.52-1.4-.19-2-.5-2.86-1.96-5.71-3.93-8.56-5.9-1.78-1.47-2.29-.74-3.25,.95-1.45,2.3-2.89,4.61-4.34,6.91-.24,.37-.99,.45-1.4,.19-4.06-2.72-7.66-6.11-11.71-8.83-2.79,2.3-4.04,5.34-6M .79,7.7-.37,.33-.75,.6-1.51,.62-2.04-1.62-4.01-3.32-5.95-5.05,.05,3.53,.1,7.05,.15,10.58,2.18-1.42,4.01-3.25,6.07-4.7,.96,.07,1.4,.66,1.97,1.1,3.28,2.53,6.55,5.09,9.83,7.62,.48,.37,.95,.78,1.88,.77,2.75-2.73,4.39-5.99,7.04-8.95,3.83,2.72,7.36,5.09,11.18,7.71,.46,.29,1.22,.76,1.71,.32,2.47-2.86,3.25-6.78,5.84-9.51,4.34,1.94,7.65,4.32,12.1,6.05,2-3.63,2.83-7.35,4.57-10.76,.39-.02,.69-.12,.87-.04,3.77,1.63,7.54,3.29,11.3,4.94,0-.01,.01-.03,.01-.04,1.04-3.86,2.26-7.68,3.31-11.54,.12-.42,.71-.62,1.27-.42,3.53,1.36,7.14,M 2.48,10.76,3.58t.01-.02c.67-4.34,2.3-8.63,2.38-13.01t-.02-.01c-3.74-1.23-7.49-2.47-11.23-3.71,.78-3.67,1.55-7.34,2.33-11.02,.12-1.07,.45-2.32,1.86-1.79,2.83,.97,5.66,1.98,8.51,2.86,.79,.25,1.47-.33,1.54-1.06,.58-4.15,1.67-8.25,1.87-12.42-.01,0-.03,0-.04,0Zm-34.01,41.17c-.26,.67-.61,1.76-1.56,1.51-3.94-1.63-7.71-3.69-11.31-5.82,1.39-3.62,2.86-7.31,4.17-10.93,.72-.21,1.2-.03,1.65,.19,3.38,1.73,6.78,3.41,10.28,4.91-1.08,3.38-2.14,6.76-3.23,10.14Zm17.01-13.36c-.55,2.4-1.17,4.8-1.77,7.19-.13,.53-.94,.84-1.56,.59-3.52-1.M 41-7.17-2.67-10.37-4.56,1.21-3.99,1.74-8.25,3.45-12.07,2.37,.72,8.05,3.04,11.08,4.48-.26,1.46-.5,2.92-.83,4.37Zm-75.55,74.48c3.43-1.17,7.01-2.1,10.34-3.51,.14-.97-.89-1.25-1.5-1.8-3.41-2.43-6.97-4.7-10.3-7.25-.98-1.04,1.91-1.46,2.5-1.94,2.69-1.22,5.43-2.38,7.89-3.89,.54-.71-.89-1.27-1.31-1.72-3.79-2.91-7.82-5.53-11.45-8.63-.21-.19-.08-.71,.23-.86,2.71-1.37,5.41-2.81,8.07-4.28,1.66-.93,1.67-1.15,.33-2.17-3.12-2.27-6.07-4.77-9.09-7.16,.14,9.66,.28,19.33,.41,28.99,.39,.28,.75,.63,.81,1.25-.26,.11-.52,.21-.78,.3,.12,8.M 63,.25,17.28,.37,25.91,4.18-.94,8.43-1.78,12.48-3.2,.12-.04,.2-.44,.1-.56-3.52-3.04-7.9-5.08-11.39-8.16-.36-.84,1.72-.99,2.29-1.32Zm5.39,21.96c-2.88-2.1-5.89-4.05-8.83-6.07,.04,2.8,.08,5.59,.12,8.39,1.06-.37,9.82-.92,8.71-2.32Zm-7.04,11.81c-.51-.4-1.01-.82-1.55-1.2,.01,.72,.02,1.43,.03,2.15,.55-.08,1.97-.09,1.52-.95Zm-44.51,29.71c-2.57-2.48-5.35-4.8-7.78-7.41-.1-.14,.01-.39,.08-.57,3.07-.3,6.4,.24,9.54,.26-.04-3.23-.09-6.46-.14-9.69-6.93-.09-13.84-1.29-20.72-1.4-.3,.5,0,.85,.35,1.18,2.82,2.88,6.01,5.45,8.6,8.52-.12M ,1.33-6.77-.04-8-.05-5.2-.62-10.39-1.24-15.58-1.88-2.66-.29-5.29-.83-7.96-1.01-.12,0-.35,.07-.36,.12-.03,.2-.1,.46,.03,.6,2.87,3.23,5.95,6.36,8.72,9.69,.11,.13-.01,.38-.04,.67-11.92-1.39-23.79-3.64-35.49-6.12-.59-.06-1.4-.35-1.94-.07-.09,.17-.24,.43-.15,.54,2.04,2.66,4.1,5.31,6.17,7.96,.64,.82,1.3,1.63,1.91,2.47,.1,.13-.04,.38-.13,.56-.63,.34-1.98-.11-2.73-.16-8.22-1.66-16.43-3.35-24.53-5.38-5.01-1.25-9.99-2.58-14.98-3.87-.52-.14-1.03-.27-1.66,.07,2.09,4.27,5.78,8.06,7.53,12.33-.63,.54-1.51,.17-2.22,.06-13.32-3.45-M 26.59-7.02-39.55-11.27-2.49-.81-5.01-1.59-7.51-2.39-.64-.35-2.74-.63-2,.61,2.25,4.25,4.61,8.47,6.79,12.76-.89,.62-1.77,.04-2.69-.15-17.11-5.24-33.91-11.06-50.39-17.46-2.18-.84-4.36-1.69-6.56-2.51-.44-.15-1.02-.09-1.08,.13-.06,.19-.18,.41-.11,.58,1.32,3.28,2.66,6.56,3.98,9.83,.54,1.34,1.05,2.67,1.54,4.02,.06,.17-.05,.39-.09,.58-.05,.21-.66,.3-1.09,.14-.98-.35-1.95-.72-2.93-1.08-22.25-8.28-43.84-17.32-65.22-27.12-.57-.26-1.14-.58-1.99-.48-.19,1.82,.7,3.56,1.1,5.33,.85,3.05,1.72,6.09,2.56,9.14,.2,.72,.47,1.46,.23,2.22M -.22,.87-2.2-.36-2.78-.46-12.44-5.38-24.69-11.03-36.85-16.81-14.74-6.94-29.08-14.41-43.5-21.76-.47-.22-1.1,.12-1.05,.59,.13,1.39,.25,2.79,.44,4.18,.68,4.9,1.39,9.8,2.08,14.7,28.14,13.76,56.79,26.82,86.02,38.32,1.45,.15,.33-2.3,.26-3.11-1.18-4.42-2.51-8.81-3.62-13.25-.05-.19,.01-.46,.16-.6,.98-.5,2.25,.61,3.23,.86,22,9.35,44.67,17.93,67.48,25.63,.7,.18,2.06,.89,2.35-.03-1.51-4.93-4.16-9.52-5.44-14.5-.02-.12,.33-.39,.52-.39,1.28-.04,2.29,.58,3.38,.97,18.89,6.32,38.26,13.81,57.87,17.64,.08-.67-.35-1.24-.66-1.82-1.56-2M .98-3.14-5.95-4.72-8.92-.34-.92-2.39-3.24-.26-3.02,17.23,5,34.46,9.62,52.12,13.19-2.58-3.97-5.15-7.95-7.72-11.92-.14-.29-.47-1.01-.04-1.15,14.86,2.6,29.55,6.88,44.62,8.3,.12-.63-.28-1.07-.64-1.51-2.51-3.18-5.2-6.25-7.58-9.53-.07-.21,.23-.73,.56-.66,2.38,.38,4.74,.8,7.12,1.15,6.88,1.01,13.75,2.09,20.66,2.94,3.05,.38,6.1,.9,9.22,.81,.19-.01,.39-.2,.55-.34,.2-.41-.39-.8-.61-1.12-2.56-2.62-5.1-5.29-7.59-7.96-.32-.34-.61-.72-.47-1.24,7.81,.55,15.67,1.67,23.55,2.1,2.67,.21,5.37,.21,8.07,.28,1.58-.23,.49-1.2-.24-1.86Zm1.5M 6-27.17c-.94,0-1.87,.01-2.8,.01-.06,.2-.24,.48-.14,.59,.92,1,1.93,1.95,2.99,2.83,0-1.14-.03-2.29-.05-3.43Zm-10.71-6.03c-1.33-1.2-2.65-2.42-3.93-3.66-.2-.2-.16-.53-.2-.82,4.88-.27,9.79,.55,14.7,.52-.03-2.53-.07-5.05-.11-7.58-1.4-1.18-3.27-2.58-.03-2.46-.05-3.51-.1-7.01-.16-10.52-4.75,.04-9.32-.28-14.09-.54,.1,.41,.06,.78,.26,.99,2.86,2.9,6.08,5.49,9.08,8.25,.38,.41,1.37,1.12,.55,1.52-6.84,.05-13.71-.72-20.46-1.65-1.2-.09-2.84-.33-1.34,1.24,2.58,2.49,5.18,4.96,7.77,7.44,.51,.5,.97,1.02,1.44,1.54,.05,.07,.01,.22-.04,.M 31-2.9,.55-6.13-.42-9.07-.69-5.57-.78-11.1-1.73-16.65-2.6-.29-.01-.87-.08-.96,.26,.12,.3,.2,.63,.43,.86,2.56,2.64,5.15,5.26,7.71,7.9,.49,.5,.89,1.06,1.32,1.61,.06,.08,.07,.27,.01,.3-.56,.39-1.24,.15-1.85,.05-8.7-1.46-17.33-3.14-25.87-5.11-.92-.1-2.31-.65-3.11-.35-.07,.17-.17,.43-.07,.55,2.56,3.03,5.16,6.05,7.74,9.08,.45,.52,1.05,.99,1.13,1.68-.62,.38-1.24,.16-1.87,.02-9.62-2.05-19.14-4.39-28.53-7.07-2.12-.43-4.02-1.59-6.22-1.31,2.47,4.15,6.23,7.72,8.45,11.81-.17,.13-.44,.33-.6,.29-1.55-.33-3.12-.66-4.64-1.09-11.45-M 3.18-22.77-6.63-33.91-10.44-1.02-.21-2.46-1.18-3.34-.42,2.3,3.91,5.02,7.6,7.44,11.44,.17,.35,.53,.83,.35,1.19-.2,.1-.51,.27-.67,.21-15.54-4.91-31.02-10.35-46.03-16.54-.82-.24-1.68-.94-2.54-.5-.32,.41,.42,1.31,.56,1.79,1.88,3.57,3.78,7.13,5.67,10.7,.25,.49,.5,.98,.29,1.51-2.03,.14-3.93-1.18-5.84-1.74-17.64-6.61-34.68-14.6-51.72-21.86-.13,.17-.31,.39-.27,.55,1.34,4.08,3.18,8,4.72,12.01,.33,.82,.62,1.65,.95,2.47,.29,.55-.55,.76-.93,.65-21.89-9.48-43.4-20.06-64.25-31.13-.89-.34-1.78-1.25-2.77-.87-.09,.02-.17,.19-.15,.2M 7,1.38,5.38,2.93,10.72,4.37,16.09,.21,.75-.69,.9-1.19,.57-21.19-10.59-42.15-21.97-62.55-33.89-4.78-2.8-9.53-5.64-14.29-8.46-.54-.31-1.04-.71-1.78-.59-.46,1.6,.12,3.36,.22,5.02,.53,4.57,1.69,9.16,1.87,13.74-.61,.22-1.09,.06-1.52-.19-3.29-1.88-6.61-3.72-9.85-5.65-27.04-15.98-53.84-32.34-79.84-49.93-1.39-.78-3.51-3.05-3.47,.38,0,5.81,.03,11.63,.06,17.44,.05,.87-.09,1.85,.77,2.41,.73,.48,1.44,.97,2.18,1.43,29.69,18.88,60.26,36.56,91.32,53.31,.77,.42,1.6,.77,2.43,1.1,.12,.05,.58-.18,.57-.28-.1-5.61-1.47-11.11-2.14-16.67M -.38-2.91,1.09-1.61,2.7-.85,25.91,14.26,52.13,28.59,79.26,40.39,.52-.46,.33-1,.19-1.5-1.28-5.15-3.25-10.22-4.06-15.45-.03,0-.06,0-.1,0,.04,0,.07-.01,.11-.01,.05-.06,.09-.11,.14-.17,.04,.07,.05,.12,.03,.15,.96-.25,1.79,.4,2.61,.77,14.09,6.97,28.38,13.66,42.98,19.93,7.76,3.16,15.37,6.87,23.31,9.58,.87-.07,.46-1.05,.32-1.58-1.69-4.31-3.59-8.56-5.21-12.9-.09-.27,.01-.73,.24-.86,1.09-.25,2.23,.66,3.24,1,11.69,4.9,23.42,9.73,35.43,14.11,6,2.18,12.04,4.31,18.07,6.45,.6,.21,1.28,.29,1.92,.4,.08,.02,.3-.14,.28-.2-1.4-4.3-4.M 22-8.12-6.17-12.21-.18-.47-.6-1.03-.4-1.51,.13-.26,.35-.34,.65-.23,2.59,.91,5.18,1.81,7.75,2.74,12.66,4.54,25.54,8.64,38.61,12.36,1.66,.25,4.91,2.02,2.71-1.15-2.3-3.53-4.83-6.94-6.99-10.56-.07-.15,.08-.39,.18-.57,12.62,3.04,25.24,7.39,38.18,10.13,1.43,.29,2.85,.73,4.29,.89,.12-.01,.33-.02,.36-.08,.09-.16,.2-.4,.12-.51-2.08-2.77-4.19-5.52-6.28-8.28-.31-.65-2.78-2.96-1.27-3.19,8.43,1.71,16.74,4.07,25.28,5.57,3.53,.68,7.09,1.28,10.63,1.9,.17,0,.49-.29,.38-.48-.42-1.49-10.52-10.73-8.49-10.82,9.34,1.41,18.67,3.24,28.09,M 4.41,1.02,.16,2.08,.36,3.13,.07,.17-.44-.1-.78-.44-1.1-2.29-2.24-4.6-4.48-6.89-6.73-.68-.66-1.32-1.35-1.97-2.03-.19-.32,.39-.59,.6-.61,8.37,.86,16.73,1.96,25.15,2.58,4.33,.56-3.58-4.79-4.18-5.73Zm-151.35,9.77c.07,.03,.14,.06,.21,.08-.21,.12-.28,.09-.21-.08Zm147.12-14.3s-.08,0-.11,.02l.12-.12s-.01,.07-.01,.1Zm14.34-31.2c-1.55,.11-3.14,.1-4.68,.33-1.18,.68,4.1,4.32,4.76,5.15-.02-1.83-.05-3.65-.08-5.48Zm-.21-14.58c-2.66-.06-1.03,1.34,.04,2.34-.01-.78-.02-1.56-.04-2.34Zm-.7-48.62c-.22,.25-.24,.64,.01,.83,0-.28,0-.55-.0M 1-.83Zm-2.28,14.92c-3.72-4.23-7.8-8.18-11.29-12.59-.2-.29,0-.75,.34-.8,3.45-.44,6.91-.85,10.36-1.34,1.58-.23,1.68-.54,.7-1.69-3.65-4.1-7.1-8.39-10.64-12.58-.44-.53-.97-1.04-1.06-1.72,.35-.55,1.06-.63,1.68-.69,2.95-.28,5.83-.82,8.68-1.48,1.76-.55,2.31,.93,3.28,1.95-.01-1.11-.03-2.21-.05-3.32-.89,.61-2.18,1.03-2.75-.14-3.99-5.31-8.21-10.46-11.95-15.95-3.76,1.21-7.89,.89-11.87,1.49-.38,1.34,1.01,2.35,1.63,3.46,2.92,3.98,5.88,7.94,8.81,11.92,.4,.75,1.49,1.45,.99,2.33-3.83,.48-7.73,.54-11.58,.85-.35,.02-.63,.46-.46,.73,M 3.37,4.68,7.26,9.02,10.83,13.57,.26,.53,2.13,2.18,1.14,2.45-3.01,.65-6.13,.27-9.19,.43-1.07,0-2.14,.06-3.21,.09-.31,0-.73,.5-.59,.69,4.23,5.39,9.01,10.34,13.47,15.56,4.53-.03,9.13-.26,13.56-1.09,1.13-.63-.43-1.52-.83-2.13Zm-12.77-50.45s.05,.07,.07,.1l.06-.03-.13-.07Zm.04,53.67h-.05l.1,.06s-.04-.04-.05-.06Zm-6.46,94.41s-.01,.03-.02,.05l.08-.07s-.04,.01-.06,.02Zm-68.04,41.29s.05,.07,.07,.11l.16-.06c-.08-.02-.15-.03-.23-.05Zm-186.08-66.45h-.01v.02c.11,.02,.17,0,.18-.04-.06,.01-.11,.01-.17,.02Zm-72.61,15.48l-.06-.03,.0M 7,.08s0-.03,0-.05Zm-8.1-60.16h.01s.03-.07,.04-.1l-.05,.1Z"/><path class="cls-2" d="M449.27,412.21s.03-.01,.05-.02c.01-.01,.01-.03,.02-.04l-.07,.06Zm39.59-265.75l-.03,.12s.07-.01,.11-.01l-.08-.11Zm9.48,362.54c-.98,.53-3.54,3.72-3.97,1.3-.42-9.01-.66-18.03-.43-27.04-.54-2.15-1.12-4.27-1.77-6.36-3.47,2.14-6.84,4.42-10.27,6.62-.74,.41-2.23,1.78-2.77,.52-.14-11.12,.27-22.22,.77-33.33-1.12-1.64-2.3-3.24-3.54-4.79-3.14,1.63-6.28,3.29-9.42,4.92-.8,.24-2.48,1.66-3.04,.64-.21-5.83,.5-11.67,.78-17.49-5.21-4.26-10.78-7.57-16.4M 1-9.74-.45,11.3-1.34,22.76-.69,34.01,2.07,1.95,12.16-4.06,14.99-5.07,.47-.21,1.09,.12,1.09,.6-.02,2.04,0,4.09-.1,6.14-.42,11.19-.51,22.42,.32,33.59,.49,1.95,12.21-7.07,14.35-7.38,.86-.06,.79,.94,.81,1.54-.15,9.91,.72,19.81,1.04,29.71,.21,1.97-.24,5.88,2.77,3.33,3.36-2.48,6.72-4.98,10.07-7.47,.66-.5,1.26-.25,1.45,.34,1.01,9.98,.97,20.07,2.79,29.95,1,.77,2.26-1.17,3.06-1.67-.25-11.3-.75-22.31-1.88-32.87Zm4.99-120.23c-.05-.13-.46-.29-.59-.24-.96,.38-1.9,.79-2.82,1.23-4.43,2.02-8.71,4.4-13.24,6.2-1.34,.05-.67-1.61-.67-M 2.43,.99-6.09,1.9-12.18,3.03-18.25,1.38-7.46,2.94-14.89,4.44-22.33,.56-2.76,1.15-5.52,1.72-8.28,0-1.61-2.31-.06-3.13,.07-4.67,1.69-9.32,3.39-13.99,5.06-.51,.13-1.99,.65-2.08-.06,2.08-15.22,6.3-30.15,9.66-45.16,.98-4.66,2.72-9.2,3.35-13.94-.41-1.04-1.94-.22-2.75-.12-5.37,1.42-10.73,2.86-16.1,4.27-1.11,.29-2.52,.56-2.02-1.14,5.26-22.92,12.07-45.53,18.31-68.17,.04-.3-.41-.66-.75-.6-6.99,1.12-13.96,2.33-20.95,3.48-1.73,.05-.72-1.99-.6-2.98,7.27-26.5,16.2-52.63,24.68-78.8-7.54,.71-15.1,1.12-22.68,1.06-.88,.06-1.86-.13-2M .59,.42-8.11,26.46-16.22,53.03-22.35,80,.08,.64,1.02,.73,1.54,.75,5.93,0,11.86,0,17.79-.01,1.94-.16,2.81-.02,2.29,1.52-5.98,21.93-11.34,44.02-15.83,66.29-.03,.74-.47,2.1,.47,2.34,6.44,.57,12.62-1.88,18.83-3.12,1.85-.16,.77,1.9,.71,2.91-3.45,15.23-6.54,30.54-9.29,45.91-.64,3.52-1.23,7.04-1.82,10.56-.1,.63-.27,1.29,.26,1.99,6.21-1.34,12.07-4.22,18.2-5.91,.32-.08,.88,.24,.84,.51-1.77,12.17-4.27,24.23-5.84,36.43,5.48,2.57,10.67,5.63,15.54,9.1,.2,.02,.34,.03,.4,.29,5.32,3.81,10.28,8.05,14.82,12.71,.65-4.53,1.29-9.06,2.2M 1-13.57,.33-2.63,1.27-5.37,1-7.99Zm10.27,36.2c-.35,.05-.77,.01-1.05,.15,.35,.48,.69,.95,1.01,1.43,.02-.56,.33-1.05,.04-1.58Zm295.55,58.31s.03,.05,.06,.07c.02-.01,.04-.01,.06-.02l-.12-.05Zm22.08,23.39c-2.08-1.99-4.18-3.95-6.25-5.94-.85-.82-1.37-.9-2.43-.54-8.44,3.01-16.86,6.28-24.9,10-.47,.22-.93,.43-1.51,.25-3.6-2.73-5.76-4.78-7.25-6.93,8.52-4.8,17.92-7.87,26.8-12.04-2.03-2.85-4.46-5.39-6.48-8.12-9.56,3.51-18.57,7.99-27.71,12.32-.68-.12-1.07-.39-1.37-.77-1.44-1.81-2.89-3.63-4.36-5.44-.45-.46-1.01-1.29-1.77-1.09-8.2M 9,3.88-15.68,9.09-23.52,13.58-.54-.43-.98-.9-1.37-1.39,.1,.78,.2,1.56,.3,2.33,.45-.37,1.21-.35,1.59,.08,1.82,2.38,4.35,4.35,5.68,7.02-2.05,1.36-4.03,2.65-6.03,4,.38,3.74,.7,7.48,.97,11.2,4.12-2.86,8.43-5.6,12.59-8.31,2.68,1.35,5.24,4.01,7.81,5.75,.78,.54,1.81-.04,2.53-.45,6.8-4.01,13.86-7.5,20.96-10.97,.49-.24,1.1-.19,1.47,.13,2.36,2.24,5.34,3.95,7.25,6.55-7.51,3.82-15.49,7.01-22.42,11.46,2.01,2.17,5.46,3.72,7.92,5.56,.45,.28,1.01,.26,1.51,0,5.63-2.82,11.19-5.61,17.03-8.06,1.63-.71,3.54-1.05,4.83-2.21,1.44-.03-6.79M -5.26-7.96-6.69,.96-.96,2.2-1.18,3.4-1.7,7.02-2.73,14.05-5.45,21.34-7.71,.74-.23,1.53-.39,1.94-1.07-.19-.26-.34-.57-.59-.81Zm-44.07-2.5c-7.14,3.47-13.83,7.45-20.65,11.3-.64,.36-1.2,.88-2.29,.89-2.24-1.85-4.51-3.82-6.59-5.93-.34-.34-.27-.84,.19-1.13,2.12-1.33,4.19-2.71,6.37-3.97,4.92-2.82,9.9-5.57,14.86-8.35,.67-.32,1.36-.85,2.15-.59,2.28,2.02,4.34,4.4,6.54,6.55,.15,.16,.18,.4,.28,.64-.27,.19-.54,.43-.86,.59Zm-75.86,42.24c-2.51,2.59-5.02,5.18-7.53,7.76-.34,.35-.6,.7-.46,1.28,2.35,1.62,5.06,3.21,7.47,4.7,.35-.06,.62-M .18,.85-.33-.06-4.44-.16-8.92-.33-13.41Zm-.69-13.68c-2.51-1.71-3.36-4.57-5.89-6.31-.38-.22-.64,0-4.05,3.39-.42,.42-.85,.84-1.26,1.26-3.16,3.22-6.32,6.44-9.49,9.66-.48,.48-.85,1.1-1.94,1.26-1.97-2.09-3.32-4.58-5.18-6.81-.83,.09-1.19,.54-1.54,.97-3.33,4.06-6.65,8.11-9.97,12.17-.9,.75-2.24,3.99-3.55,2.27-1.21-2.16-2.24-4.41-3.59-6.49-.79-.4-1.42,.74-1.91,1.19-3.94,4.77-7.25,9.83-10.97,14.69-.17,.22-.9,.19-1.04-.05-1.36-2.33-2.64-4.68-3.93-7.06-.13-.25-.83-.26-1.02,0-3.29,4.39-6.17,9.07-9.21,13.64-.41,.51-.69,1.32-1.5,M 1.21-.11,.01-.27-.09-.31-.18-.9-1.91-1.78-3.82-2.67-5.74-.42-.9-.53-1.9-1.45-2.71-1.4,.58-1.88,2.22-2.74,3.37-1.88,3.1-3.73,6.21-5.6,9.31-.52,.63-.76,1.91-1.7,1.96-.22-.04-.5-.23-.57-.41-1.12-2.65-2.21-5.3-2.92-8.05-.16-.63-.29-1.28-.95-1.74-1,.37-1.36,1.52-1.96,2.32-2.54,3.88-4.5,8.18-7.37,11.81-1.43,.59-2.85-7.88-3.4-9.17-.91-3.47-1.28-2.87-2.96-.21-2.04,3.39-4.05,6.8-6.09,10.2-.27,.45-.46,1-1.22,1.13-.54-.39-.68-.93-.81-1.45-.88-3.92-1.82-7.84-2.83-11.73-.02-.08-.16-.22-.22-.21-1.04,0-1.34,1.18-1.9,1.86-1.94,3.2M -3.87,6.4-5.81,9.59-.35,.57-.58,1.22-1.42,1.59-.23-.24-.62-.46-.69-.72-.99-4.24-2.09-8.45-2.69-12.74-.17-.49-.07-1.62-.64-1.74-.97-.12-1.25,.89-1.76,1.5-2.36,3.51-4.53,7.12-6.98,10.56-.11,.14-.48,.24-.69,.2-.17-.02-.39-.26-.42-.43-.57-2.98-1.12-5.96-1.64-8.95-.67-2.77-.42-5.75-1.75-8.31-1.19,.69-1.64,1.65-2.4,2.68-1.8,2.53-3.58,5.06-5.39,7.59-.52,.56-.83,1.6-1.78,1.42-.11,0-.28-.12-.29-.2-1.59-6.43-2.01-13.02-3.13-19.52-.72-.6-1.42,.69-1.9,1.11-1.87,2.36-3.73,4.72-5.59,7.08,.12,7.77,.23,15.55,.34,23.32,.24,1.8,.74,M 3.15,2.26,1.14,2.56-3.41,4.71-7.11,7.53-10.31,.1-.1,.57-.08,.64,.09,1.85,5.82,2.19,11.97,4.39,17.71,.96-.12,1.26-.96,1.76-1.65,1.77-2.79,3.51-5.58,5.27-8.37,.48-.66,1.42-2.79,2.33-1.54,1.19,4.65,2.28,9.3,3.5,13.94,.15,.35,.33,.97,.75,1.08,.22,0,.57-.02,.63-.13,10.71-16.67,6.04-16.75,12.47,1.18,.71-.06,1.05-.35,1.28-.77,1.06-1.98,2.13-3.96,3.2-5.93,1.24-2.15,2.19-4.47,3.71-6.44,.21-.27,.83,.01,.94,.18,1.33,3.61,2.51,7.26,3.86,10.86,.07,.17,.34,.35,.56,.4,.98,0,1.16-1.31,1.66-1.95,1.83-3.36,3.65-6.71,5.48-10.07,.32-.M 59,.56-1.22,1.26-1.61,.11,.03,.27,.03,.3,.09,1.96,3.3,2.55,7,4.43,10.31,.85-.12,1.1-.62,1.37-1.1,2.15-3.84,4.3-7.67,6.47-11.49,.4-.52,.84-1.62,1.47-1.83,.24,.05,.59,.11,.66,.24,.41,.79,.77,1.6,1.13,2.41,1.04,1.96,1.55,4.25,3.04,5.94,.95,.38,1.3-1.15,1.79-1.71,11.15-18.42,5.74-14.78,13.52-5.12,3.61-4.89,6.39-10.33,9.92-15.29,.54-.78,1.06-.49,1.52-.06,1.24,1.79,2.46,3.59,3.7,5.37,.29,.42,.96,1.03,1.48,.63,1.08-1.48,2.14-2.98,3.16-4.49,2.51-3.7,5.15-7.32,8-10.85,.32-.39,1.04-.39,1.35-.02,1.41,1.7,2.83,3.4,4.24,5.11,.3M 1,.36,.68,.64,1.38,.72,4.02-4.79,7.98-9.69,11.98-14.51,.43-.52,.8-1.12,1.78-1.34,2.22,2.07,3.83,4.38,6.48,6.16,4.87-4.63,9.39-9.48,14.15-14.21,.43-.43,.83-.94,1.6-1.13-.01-.34-.03-.67-.06-1.01Zm-2.15-23.39c-.02-.14-.03-.28-.05-.42-2.79,2.54-5.51,5.15-8.34,7.65-.99,.61-1.44-.36-1.64-1.16-.53-1.89-1.04-3.78-1.59-5.67-.27-1.18-1.24-.88-1.84-.21-4.77,4.51-9.58,9.05-14.02,13.79-.47,.51-.82,1.14-1.88,1.26-1.61-2.6-1.5-5.62-2.83-8.28-.66-.05-1.04,.23-1.36,.59-1.89,2.1-3.81,4.18-5.68,6.29-2.77,3.05-5.33,6.27-8.2,9.22-.12,.M 12-.5,.16-.71,.11-.61-.18-.68-.86-.82-1.36-.66-2.31-1.31-4.61-2-6.92-.05-.18-.28-.4-.5-.46-.6-.08-1.07,.53-1.44,.92-4.61,4.97-8.37,10.64-12.95,15.59-1.32,.45-2.05-4.71-2.45-5.69-.44-1.17-.5-3.1-1.15-4.02-.93-.05-1.36,.88-1.9,1.46-2.8,3.68-5.59,7.37-8.38,11.05-.65,.72-.99,1.73-2.06,1.91-1.55-2.9-1.32-6.32-2.12-9.45-.12-.63-.13-1.3-.78-1.79-.75,.14-1.02,.66-1.35,1.11-2.48,3.46-4.94,6.92-7.43,10.38-.53,.74-1.11,1.46-1.69,2.19-.06,.08-.27,.16-.35,.13-.77-.16-.81-.96-.95-1.58-.69-3.72-.62-7.59-1.84-11.18-1.2,.04-1.58,1.M 3-2.3,2.07-2.32,3.27-4.63,6.56-6.95,9.84-.56,.61-.9,1.56-1.91,1.32-3.28-18.84,1.26-19.26-12.04-2.03-.1,.13-.45,.16-.69,.2-.36-.17-.39-.78-.49-1.14-2.11-20.14,1.72-19.95-11.45-3.61-.16,.12-.86,.17-1.01-.1-.56-3.39-.58-6.88-.87-10.31-.12-2.8-.06-5.59-.18-8.39,0-.27-.18-.42-.49-.41-.78,.15-1.25,1.1-1.82,1.6-2.46,2.96-4.9,5.93-7.37,8.88-1.38,1.5-2.06,2-2.25-.51-.15-6.57-.28-13.14-.31-19.71,0-1.19-1.03-.64-1.49-.27-2.86,3.13-5.69,6.28-8.54,9.42-.47,.35-1.09,1.35-1.69,1.15-.11-.04-.27-.1-.29-.17-.49-2.19-.19-4.53-.28-6.7M 6-.03-6.03,.38-12.07,.11-18.09-.07-.2-.59-.56-.86-.32-2.65,2.21-4.94,4.77-7.42,7.16,.95,9.02,1.46,17.96,1.77,26.73,1.89-2,3.56-4.2,5.62-6.04,.26-.27,.81,.09,.88,.28,.41,7.1,.72,14.21,1.5,21.28,.03,.31,.21,.62,.34,.92,.32,.26,.98-.3,1.2-.5,2.89-3.5,5.57-7.17,8.6-10.56,.15-.12,.88-.17,1.03,.1,.11,.3,.2,.62,.23,.94,.35,4.08,.67,8.17,1.04,12.25,.18,1.93,.44,3.86,.69,5.79,.03,.18,.23,.34,.37,.51,1.07,.21,1.88-1.97,2.6-2.66,2.05-2.78,4.09-5.57,6.16-8.34,.37-.41,1.07-1.31,1.67-.77,.95,5.48,1.11,11.15,2.37,16.64,.02,.08,.1M 5,.22,.22,.21,1.06,.11,1.39-1.11,1.98-1.76,11.61-17.52,7.15-11.58,10.7,3.99,.71,.16,1.1-.05,1.38-.47,2.25-3.44,4.5-6.87,6.77-10.29,1.16-1.67,2.28-3.58,2.88-.28,.37,3.44,1.26,6.82,1.96,10.22,.08,.27,.25,.73,.58,.78,.23,0,.58,0,.67-.1,.44-.54,.82-1.1,1.19-1.67,2.16-3.35,4.31-6.71,6.48-10.05,.62-.76,.94-1.79,2.09-1.84,.99,3.58,1.86,7.16,2.83,10.73,.08,.26,.49,.45,.74,.67,.92-.47,1.19-1.22,1.62-1.88,2.39-3.62,4.76-7.25,7.15-10.86,.41-.47,.8-1.3,1.43-1.47,.23,.06,.58,.14,.62,.27,1.01,3.12,1.93,6.27,2.98,9.38,.04,.12,.4,M .19,.63,.23,.72-.26,1.08-1.24,1.6-1.78,2.67-3.74,5.33-7.49,8.01-11.23,.67-.76,.99-1.77,2.19-1.84,.75,1.16,2.71,9.73,4.04,8.61,4.14-4.84,7.73-10.14,11.9-14.98,.54-.49,1.42-2.06,2.17-1.17,.76,1.95,1.52,3.9,2.25,5.86,.27,.73,.5,1.46,1.22,2.01,.87-.21,1.19-.83,1.64-1.36,3.65-4.26,7.3-8.53,10.96-12.8,.73-.63,1.31-1.97,2.38-1.95,.22,.06,.46,.26,.54,.44,.97,2.31,1.55,4.93,3.01,6.98,.4,.21,.95-.32,1.24-.54,4.19-4.62,8.64-9.09,13.19-13.49,.58-.57,1.05-1.26,2.14-1.55,2.3,2.1,3.16,4.93,5.48,7.09,2.21-.62,3.44-2.9,5.21-4.26-.3M 6-3.91-.78-7.82-1.25-11.7Z"/><path class="cls-2" d="M510.81,220.17s-.02,.03-.03,.05c-.02,0-.04,.01-.06,.01l.09-.06Z"/><path class="cls-2" d="M529.95,418.64c.22-1.27,.27-2.56,.34-3.84-.53-.7-1.36,.19-1.91,.44-4.54,2.66-8.79,5.83-13.53,8.14-.11,.05-.57-.16-.56-.24,1.42-14.45,4.6-28.62,7.57-42.81,.11-.73-.15-1.19-.94-.95-2.5,.99-4.8,2.37-7.24,3.52-2.88,1.38-5.67,2.97-8.63,4.17-.3,.12-.88-.22-.84-.5,2.74-16.05,6.48-31.91,10.51-47.69,.04-.9,1.18-2.79-.33-2.75-5.37,1.96-10.65,4.15-15.98,6.21-.59,.23-1.23,.39-1.86,.54-.31M ,.08-.61-.08-.58-.33,.09-.96,.15-1.92,.38-2.86,3.79-16.13,7.81-32.15,12.54-48.05,.62-2.09,1.2-4.19,1.78-6.29,.15-.52,.28-1.06-.32-1.59-5.59,1.41-11.15,3.11-16.71,4.65-1.03,.1-3.92,1.73-3.75-.23,6.37-22.81,12.96-45.66,20.89-67.96,7.44-1.42,14.84-3.01,22.3-4.34,.39-.06,.85,.28,.75,.56-2.33,6.51-4.71,13.02-7.01,19.54-5.07,15.44-11.13,30.84-14.98,46.53,.51,.63,1.48,.17,2.14,.05,6.04-1.78,12.06-3.67,18.12-5.39,.81,.58,.31,1.4,.16,2.17-2.02,6.25-4.14,12.49-6.06,18.76-3.51,12.14-7.43,24.22-10.31,36.52-.05,.25,.59,.55,.91,M .43,1.1-.42,2.2-.83,3.28-1.27,4.31-1.76,8.62-3.55,12.93-5.31,.57-.18,1.66-.7,2.04-.02-3.8,15.78-9.54,32.9-12.31,49.01-.03,.28,.58,.51,.94,.34,4.71-2.25,9.27-4.79,13.93-7.16,.78-.28,1.66-1.01,2.48-.92,.15,.15,.25,.34,.33,.53-2.94,12.19-5.96,24.5-8.46,36.82-.38,1.8-.59,3.62-.86,5.44-.02,.09,.07,.27,.14,.28,.92,.28,1.64-.52,2.4-.89,3.49-2.2,6.97-4.42,10.45-6.62,.97-.45,1.86-1.56,2.98-1.46,.11,.04,.22,.14,.29,.26-6.8,7.22-13.07,14.88-18.84,22.85,.49-2.76,.97-5.52,1.43-8.29Z"/><path class="cls-2" d="M577.14,262.92s-.01,M 0-.02,0c.01-.02,.01-.03,.02-.05v.04Z"/><path class="cls-2" d="M578.05,350.11c-3.63,12.13-7.82,24.15-11.17,36.37-6.19,4.52-12.01,9.78-17.36,15.35-.35,.17-.74,.29-1.22,.28,2.49-13.99,7.1-27.84,10.81-41.64,.01-1.61-2.24,.14-2.95,.37-4.05,2.13-8.1,4.27-12.15,6.4-.73,.31-2.56,1.72-2.71,.24,1.87-7.95,4.43-15.75,6.61-23.63,2.25-7.43,4.77-14.8,7.04-22.22,.22-.71,.7-1.42,.16-2.18-6.31,1.8-12.09,5.29-18.39,7.29-.38,.18-.69-.32-.67-.57,5.68-18.92,11.84-37.66,19.07-56.07l.25-.21c7.25-2.32,14.5-4.65,21.75-6.96-7.44,18.16-14.81,M 36.35-20.69,54.94-.02,.08,.42,.36,.54,.32,.75-.21,1.49-.46,2.2-.75,4.77-2.01,9.52-4.04,14.29-6.04,2.69-1.05,2.7-.6,1.77,1.95-5.29,14.8-11.48,29.79-14.97,44.82,.99,.39,1.88-.56,2.76-.89,3.92-2.09,7.84-4.19,11.76-6.28,1.01-.39,1.96-1.42,3.1-1.17,.08,.02,.19,.19,.17,.28Z"/><path class="cls-2" d="M597.35,493.02s-.04-.01-.06,0c0-.02-.02-.05-.03-.07l.09,.07Z"/><path class="cls-2" d="M809.15,483.28s.05-.02,.07-.03c.01,.03,.03,.05,.05,.08l-.12-.05Z"/><path class="cls-2" d="M870.74,441.97s-.07,.01-.1,.02l-.03-.09,.13,.07Z"/M ><path class="cls-2" d="M885.2,473.02s-.04-.05-.05-.07c.07,0,.13-.02,.2-.03l-.15,.1Z"/><path class="cls-2" d="M703.16,478.4c-2.48,2.06-4.91,4.18-7.39,6.24-.45,.34-.81,.96-1.63,.66-.6-.23-.41-.75-.41-1.15-.03-2.8,.11-5.61-.03-8.4-.63-1.77-2.53,.77-3.35,1.27-5.22,4.52-10.5,8.99-15.41,13.7-.6,.54-1.23,.37-1.4-.24-.15-2.79-.03-5.6-.06-8.4,.24-4.42-2.24-.9-3.82,.37-4.91,4.44-9.3,9.81-14.49,13.78-.33,0-.52-.12-.53-.39-.03-2.48-.07-4.95-.08-7.42,0-1.4,.07-2.8,.06-4.19,0-.13-.33-.28-.53-.37-.76,.17-1.36,1.04-1.99,1.51-4.54M ,4.27-8.81,8.71-13.01,13.2-1,.86-2.97,3.66-2.92,.57,.18-4.08,.46-8.18,.56-12.26,0-.08-.13-.22-.2-.22-.96-.21-1.42,.75-2.03,1.28-3.15,3.36-6.28,6.74-9.42,10.1-.61,.51-1.13,1.4-1.9,1.59-.21-.09-.54-.23-.54-.35,.01-1.4,.04-2.8,.12-4.19,.03-3.71,.78-7.67,.48-11.25-.23-.03-.59-.07-.69,.02-4.1,4.09-7.98,8.34-11.78,12.7-.76-.28-.87-.67-.83-1.37,.08-5.73,1.21-11.38,1.63-17.06-.99-.21-1.49,.62-2.13,1.18-3.01,3.18-5.99,6.38-8.99,9.56-2.42,2.52-2.35,1.5-2.2-1.34,.66-5.25,.99-10.56,1.99-15.75,.98-4.57-1.64-1.44-3.23,.04-2.72,2M .68-5.41,5.37-8.13,8.05-.42,.41-.92,.78-1.4,1.15-.06,.04-.26-.02-.38-.07-.1-.04-.25-.12-.25-.18,.05-1.18,.03-2.37,.2-3.54,.85-6.63,2.38-13.22,2.9-19.87-.47-.81-1.6,.49-2.08,.79-2.99,2.77-5.96,5.56-8.95,8.34-.61,.56-1.29,1.08-1.96,1.61-.05,.04-.25-.02-.37-.06-.1-.04-.25-.11-.26-.18-.24-1.41-.02-2.8,.23-4.18,1.13-6.07,2.32-12.13,3.44-18.2,.29-1.59,.43-3.2,.62-4.8-.53-.83-1.56,.49-2.11,.78-3.34,2.81-6.66,5.64-10.01,8.44-.63,.39-1.43,1.35-2.19,1.26-.09-.03-.22-.13-.21-.19,.29-2.1,.51-4.2,.93-6.28,5.41-6.86,11.08-13.21,M 17.28-18.96-.99,4.01-1.96,8.07-2.79,12.11-.02,.09,.09,.28,.15,.28,.94,.14,1.54-.69,2.23-1.16,4.12-3.22,7.99-6.79,12.29-9.77,.37-.11,.56,.4,.51,.68-2.21,8.4-3.84,16.94-5.66,25.43-.36,2.19,1.19,.82,2.06,.13,3.34-2.95,6.66-5.92,10-8.88,.6-.39,1.34-1.44,2.04-1.42,.17,.12,.44,.3,.42,.44-.14,.96-.28,1.92-.53,2.87-1.61,6.11-2.61,12.29-3.6,18.5-.06,.49-.33,1.79,.4,1.68,.24-.08,.54-.12,.69-.26,3.11-2.97,6.2-5.96,9.31-8.94,.86-.82,1.74-1.63,2.65-2.42,.12-.11,.47-.06,.71-.04,.07,.01,.17,.19,.15,.28-.47,2.77-.91,5.55-1.45,8.31M -.75,3.83-1.34,7.67-1.82,11.53-.08,.36,.39,.65,.68,.5,4.18-3.54,7.83-7.67,11.82-11.43,.41-.29,1.01-.95,1.57-.82-1.74,23.54-6.89,22.32,11.46,5.5,.15-.09,.86-.19,.91,.16-.08,1.18-.12,2.36-.27,3.53,.07,1.39-2.54,12.69-.31,11.59,5.37-4.93,10.22-10.28,15.83-15.08,.62-.41,1.36-1.4,2.11-1.35,.37,.04,.4,.5,.38,.77-.81,3.94-.68,7.95-1.23,11.91-.09,.41,.13,.8,.29,1.17,.85,.4,1.95-1.24,2.65-1.73,4.58-4.24,9.15-8.48,13.73-12.72,.88-.59,1.83-2.11,2.97-1.86,.28,3.71-.67,7.73-.76,11.54,.03,.91,.77,.79,1.26,.49,3.53-2.96,7.03-5.95M ,10.57-8.91,2.88-2.2,5.46-4.95,8.63-6.72,.54-.15,.54,.59,.57,.94-.14,3.41-1.23,6.9-.8,10.27,.03,.1,.55,.24,.64,.17,2.08-1.43,3.94-3.06,5.88-4.65,.9,3.3,1.73,6.65,2.51,10.05Z"/><path class="cls-2" d="M706.98,498.58c-3.23,2.79-6.25,5.73-9.51,8.46-.14,.11-.52,.14-.73,.08-.21-.06-.49-.25-.52-.41-.5-2.55-.93-5.11-1.36-7.67-.04-.14-.36-.27-.58-.36-.36-.02-.73,.27-1,.48-4.64,4.34-9.28,8.68-13.91,13.02-.79,.73-1.56,1.47-2.35,2.2-.25,.24-.86-.07-.95-.27-.54-2.77-.87-5.56-1.47-8.3-.05-.17-.35-.3-.57-.4-.72,.08-1.43,1.04-1.99M ,1.49-4.04,4.31-8.06,8.63-12.1,12.94-.79,.65-1.36,1.91-2.51,1.87-.06,0-.18-.14-.2-.22-.84-3.04-1.23-6.15-1.75-9.25-.03-.18-.24-.34-.4-.5-.69-.34-1.52,.9-2,1.37-3.29,3.81-6.58,7.62-9.86,11.44-.94,.74-3.41,5.33-4.4,3.23-.61-3.3-1.04-6.63-1.81-9.9-.04-.16-.31-.38-.48-.38-1.04,.2-1.56,1.44-2.27,2.14-2.75,3.45-5.48,6.91-8.23,10.36-.46,.42-.9,1.32-1.58,1.33-.41,.01-.45-.41-.56-.71-1.07-3.82-.3-8.19-1.64-11.79-1.02,.05-1.44,1.14-2.08,1.78-2.7,3.47-5.39,6.96-8.1,10.43-.35,.44-.79,.84-1.21,1.25-.05,.04-.35,.02-.38-.03-.16-.M 28-.36-.57-.38-.87-.22-3.87-.42-7.74-.64-11.62-.2-1.26,.09-2.86-1.54-1.4-3.33,4.02-6.29,8.34-9.74,12.25-.25,.2-.92,.19-.9-.2-2.51-16.32,3.86-23.37-10.14-5.66-.63,.59-1.17,1.74-1.96,1.96-.22-.08-.56-.21-.58-.34-.11-1.07-.21-2.14-.21-3.21,.03-4.53,.09-9.05,.13-13.58,0-.53-.1-1.06-.18-1.59-.01-.06-.18-.13-.29-.16-.53-.18-.84,.4-1.18,.68-2.5,2.94-4.99,5.88-7.48,8.83-.86,.85-1.56,2.45-2.92,2.21-1.71-22.71,6.41-29.38-9.84-11.79-.6,.55-1.04,1.44-1.94,1.48-.33,0-.48-.16-.48-.43,0-.96-.04-1.93,0-2.9,.28-6.24,.6-12.49,1.16-1M 8.71,.07-.97,.1-1.93,.13-2.9-.07-.37-.75-.24-.93-.14-3.52,3.06-6.71,6.46-10.13,9.64-.67,.52-1.21,1.38-2.19,1.06,.33-8.48,1.24-16.96,1.96-25.42,1.65-2.81,3.35-5.58,5.1-8.3,1.42-.84,9.58-9.09,10.15-7.63-1.08,9.38-3.19,18.76-3.53,28.24,1.02,.21,1.51-.61,2.19-1.16,3.21-3.05,6.4-6.11,9.61-9.16,.33-.3,.8-.51,1.23-.74,.06-.04,.32,.02,.36,.09,.6,3.85-.96,7.93-1.12,11.84-.41,4.08-.69,8.17-1,12.25,.67,1.59,2.62-1.53,3.32-2.02,2.36-2.5,4.7-4.99,7.06-7.48,.71-.55,1.24-1.72,2.28-1.49,.07,.01,.17,.17,.16,.26-.11,6.88-1.19,13.76-M 1.33,20.62,.51,1.38,2.06-1.02,2.6-1.45,2.92-3.23,5.83-6.46,8.76-9.69,.3-.32,.62-.68,1.23-.61,.34,.59,.21,1.21,.18,1.83-.14,5.48-.77,10.99-.62,16.46,.73,1.02,1.48-.41,2.11-1.01,3.3-3.65,6.24-7.64,9.77-11.08,.12-.06,.61,.05,.67,.16,.07,.53,.17,1.07,.16,1.6-.04,4.63-.53,9.26-.13,13.88,.02,.14,.33,.28,.53,.38,4.11-3.58,7.15-8.65,11.06-12.59,1.63-1.46,1.29,1.19,1.31,2.1,.06,3.66,.11,7.32,.19,10.98,.01,.18,.22,.36,.34,.53,.54,.42,1.37-.62,1.73-1.05,3.48-4.12,6.94-8.24,10.62-12.19,.11-.12,.46-.12,.7-.13,.37,.3,.29,1.05,.3M 9,1.51,.18,2.91,.36,5.81,.54,8.72,.19,.6-.2,1.98,.66,2.01,1.01-.09,1.46-1.18,2.14-1.77,2.68-2.97,5.35-5.95,8.05-8.91,1.35-1.48,2.72-2.95,4.18-4.36,.62-.6,.95-1.57,2.29-1.51,.78,.62,.44,1.41,.48,2.12,.34,2.88-.17,5.89,.76,8.65,.46,.89,1.79-.88,2.27-1.2,4.35-4.39,8.67-8.8,13.02-13.19,.58-.59,1.24-1.13,1.91-1.66,.1-.07,.64,.03,.67,.11,.71,3.05,.63,6.22,1.02,9.32,.38,1.09,1.33,.5,1.95-.18,3.24-3.44,6.86-6.64,10.41-9.88,1.87-1.7,3.8-3.35,5.75-4.99,.21-.19,.68-.17,1.13-.27,.57,3.11,.63,6.05,1.17,9.08,1.04,.9,2.19-.86,3.0M 4-1.39,2.51-2.19,4.99-4.41,7.52-6.6,.62,3.32,1.2,6.69,1.72,10.08Z"/><path class="cls-2" d="M921.72,455.42c-.07,1.12-1.71,.89-2.51,1.14-3.71,.49-7.41,.98-11.13,1.44-8.77,1.02-17.4,2.59-26.04,4.17-.83,.26-2.96,.33-2.37,1.56,1.4,3.23,3.26,6.29,5.48,9.22-12.17,1.96-24.04,4.78-35.9,7.92-.48,.16-.75,.72-.46,1.07,2.16,2.65,4.41,5.37,6.58,8.01-.46,.61-1.12,.77-1.74,.93-2.16,.59-4.34,1.13-6.51,1.71-7.74,2.05-15.34,4.48-22.87,6.97-.34-.15-.64-.2-.79-.35-2.18-2.19-4.33-4.39-6.5-6.58-.34-.36-.54-.74-.27-1.3,9.89-3.82,20.52-7.0M 1,30.71-10.1,.16-.44,.03-.65-.16-1.01-1.8-2.63-3.61-5.26-5.4-7.86-2.16,.15-4.78,.87-11.04,3.04-7.19,2.59-14.56,4.88-21.58,7.85-1.92-2.7-3.86-5.36-5.86-8-.23-.3-.68-.4-1.06-.29-8.8,3.36-17.27,7.54-25.55,11.73-.66,.34-1.24,.8-2.22,.84-1.64-1.55-2.67-3.7-3.98-5.51-.7-.89-1.24-2.97-2.71-2.16-6.94,3.6-13.5,7.74-20,11.9-.57-3.71-1.2-7.41-1.9-11.1,5.09-3.23,10.21-6.44,15.57-9.39,.72-.27,1.66-1.15,2.41-.61,1.62,2.3,2.76,4.91,4.2,7.32,.22,.4,.54,.74,1.32,.85,8.84-4.59,17.82-9.36,27.23-12.98,.26-.1,.92,.1,1.06,.32,1.58,2.5,3M .06,5.02,4.63,7.53,.18,.26,.56,.43,.91,.69,10.57-4.31,21.5-7.87,32.31-11.8,.21-.17,.34-.61,.2-.88-1.41-2.9-2.76-5.82-4.38-8.75-11.68,3.22-22.54,8.23-33.92,12.27-2.15-2.67-3.2-5.64-4.75-8.58-.19-.38-.92-.59-1.36-.39-8.27,3.51-16.18,7.66-24.1,11.82-.85,.25-2.75,1.92-3.31,.79-.15-2.8-.09-5.6-.42-8.38-.01-.12-.46-.31-.63-.27-6.65,2.93-12.62,7.32-18.9,10.97-.7-3.18-1.45-6.34-2.25-9.48,7.24-4.24,14.09-9.1,21.76-12.6,.83,0,.69,1,.7,1.58-.12,2.47-.28,4.95-.4,7.42,.34,1.88,3.46-.78,4.45-1.09,6.91-3.76,14.04-7.22,21.35-10.46M ,.86-.23,2.95-1.7,3.31-.33-.15,2.78-.36,5.59-.48,8.38-.03,.49,.51,.8,1.04,.61,9.83-3.76,19.44-7.92,29.54-11.23,1.26-.17,3.83-2.02,4.64-.7,.98,2.81,2.14,5.56,3.33,8.29,.92,1.84,3.79-.18,5.32-.36,11.3-3.4,22.7-6.74,34.32-9.23,.79,2.24,1.59,4.49,2.37,6.73,1.52,4.37,1.99,3.57-3.41,4.87-10.31,2.48-20.56,5.07-30.6,8.17-2.74,.85-2.76,.84-1.51,2.96,1.2,2.04,2.44,4.07,3.67,6.1,.6,1.33,1.92,.76,3.01,.46,10.92-3.21,21.95-5.88,33.13-8.17,.53-.15,1.38-.33,1.45-.94-.91-3.26-3.03-6.15-3.99-9.4,.88-.61,2.01-.67,3.02-.98,13.4-2.61,M 26.94-5.22,40.54-6.65,.05,0,.09,0,.14,0,1.09,3.42,2.42,6.79,3.26,10.28Z"/><path class="cls-2" d="M637.75,1092.25c.55,.13,1.06,.02,1.54-.19,3.79-1.63,7.59-3.24,11.37-4.9,5.67-2.48,11.16-5.2,16.67-7.9,.27-.09,1.23-.46,1.3,.02-2.6,5.81-6.35,11.13-9.39,16.75-.28,.36,.26,.65,.6,.55,9.34-3.97,18.17-9.61,27.54-13.23,.11,.17,.3,.41,.23,.55-.5,.99-1.03,1.98-1.61,2.95-2.77,4.66-5.56,9.32-8.34,13.98-.34,.58-.61,1.18-.89,1.78-.03,.06,.1,.19,.2,.26,.33,.19,.75-.06,1.06-.17,4-1.99,8.03-3.93,11.98-5.99,4.06-2.12,8.02-4.35,12.04-6M .52,.99-.52,2.52-1.12,1.5,.73-3.72,6.73-7.96,13.18-11.99,19.73-.12,.29-.33,1.01,.12,1.07,8.46-3.75,16.48-8.54,24.72-12.77,.59-.31,1.22-.43,1.86-.06l-.11-.03c-4.74,8.2-10.09,16.11-14.94,24.3-.13,.36,.58,.47,.74,.42,7.64-3.79,15.17-7.74,22.62-11.84,1.56-.74,3.57-2.02,1.88,.86-4.72,7.97-9.91,15.75-15.07,23.55-2.57,3.81-2.51,4.16,1.72,2.01,7.33-3.42,14.51-7.73,21.93-10.69,.49,.74-.37,1.39-.67,2.05-6.44,10.42-13.69,20.45-20.45,30.76,0,.13,.37,.39,.53,.34,.75-.23,1.51-.43,2.22-.72,5-2.1,9.99-4.22,14.99-6.33,.58-.18,3.46-M 1.77,3.03-.31-4.38,6.82-9.11,13.42-13.7,20.11-3.28,4.7-6.67,9.34-10,14.01-.51,1.09-2.3,2.23-1.4,3.46,0-.23-.06-.32-.29-.36l.28,.3c6.75-2.43,13.49-4.86,20.25-7.27,.16-.06,.47,.11,.68,.21,.06,.03,.06,.2,.02,.28-.67,1.56-1.82,2.88-2.74,4.31-8.85,12.94-18.58,25.41-27.86,38.19,.13,.94,2.14-.03,2.78-.07,6.35-1.76,12.62-3.81,19.02-5.38,.88,.17,.22,1.08-.06,1.56-2.84,3.91-5.69,7.82-8.55,11.72-8.45,11.52-17.24,22.87-26.3,34.09-.5,.62-1.16,1.2-1.16,2.01,.64,.35,1.32,.23,1.96,.1,2.35-.47,4.69-.97,7.04-1.44,4.3-.88,8.61-1.74,1M 2.92-2.61,.46-.15,1.14-.21,1.49,.07,.11,.14,.05,.43-.07,.6-.58,.85-1.17,1.7-1.81,2.52-6.41,8.23-12.79,16.47-19.24,24.67-7.43,9.62-15.43,18.91-23.08,28.44-.08,.28,0,.76,.43,.7,2.4-.23,4.81-.45,7.21-.71,5.21-.52,10.4-1.27,15.61-1.69,1.32-.21,2.02,.37,.95,1.47-17.51,21.6-34.69,43.52-53.74,63.85-8,.28-16.1,.05-24.12,.12-2.28-.09-3.49,.01-1.31-2.21,10.46-11.17,20.76-22.52,30.89-33.97,6.68-7.56,13.25-15.2,19.85-22.8,.86-1.21,2.31-2.13,2.45-3.67-7.67,.36-15.25,1.58-22.9,2.25-.49,0-2.21,.27-1.94-.48,15.33-17.94,31.61-35.31M ,45.79-54.05-.45-.06-.83-.19-1.15-.13-3.53,.67-7.06,1.39-10.59,2.07-3.92,.75-7.85,1.48-11.79,2.19-.11,.02-.47-.3-.43-.39,11.45-14.73,24.32-28.66,35.52-43.52,1.35-1.7,4.33-4.74-.07-3.42-6.12,1.66-12.23,3.34-18.34,5.01-.62,.17-1.26,.43-1.85,.03,10.25-13.85,22.06-26.87,31.81-41.15-.31-.82-2.12,.2-2.78,.29-5.32,1.81-10.64,3.65-15.96,5.46-.86,.29-1.76,.5-2.66,.73-.08,.02-.24-.1-.32-.18-.29-.35,.42-1.05,.61-1.4,7.54-9.57,14.85-19.24,22.02-28.99,1.3-1.76,2.5-3.56,3.73-5.35,.28-.33-.21-.71-.57-.58-7.77,3.17-15.41,6.63-23.1M 3,9.91-1.74,.65-3.8,1.55-1.77-1.07,6.97-9.71,14.42-19.11,20.97-29.1,.3-1.51-3.24,.82-3.84,.9-7.39,3.31-14.64,6.93-22.12,10.05-1.46,.06-.44-.86-.05-1.55,5.68-8.07,11.36-16.14,17.04-24.21,.26-.37,.49-.77,.64-1.17,.05-.14-.17-.35-.31-.6-8.91,3.96-17.46,8.67-26.49,12.35-.14,.02-.47-.24-.4-.41,.55-.86,1.08-1.73,1.68-2.56,4.78-6.87,9.8-13.56,13.86-20.79-.34-.81-1.76,.16-2.33,.34-7.45,3.89-15.25,7.31-22.94,10.86-2.39,1.1-3.42,1.29-1.52-1.42,3.84-5.81,7.69-11.61,11.52-17.42,.3-.45,.79-.88,.59-1.46-.03-.09-.22-.23-.27-.21-.M 73,.26-1.48,.49-2.17,.82-8.61,4.24-17.49,7.98-26.01,12.35l.12-.05c-1.22-1.12,.78-2.65,1.29-3.75,3.03-4.3,5.86-8.67,8.57-13.1,.41-.67,.77-1.36,1.09-2.06,.07-.15-.14-.38-.24-.61-10.8,4.64-21.64,9.4-32.75,13.66l.02,.08c-.94-1.12,.67-2.21,1.17-3.19,2.93-4.11,5.88-8.22,8.81-12.34,.46-.65,.9-1.32,1.29-2,.08-.14-.08-.37-.17-.55-11.55,3.8-22.96,8.96-34.66,12.88-1.55,.34-5.42,2.48-3.03-.79,2.88-4.26,5.77-8.51,8.65-12.78,.25-.37,.41-.79,.58-1.19,.03-.06-.09-.18-.17-.24-.52-.37-1.27,.14-1.83,.24-9.88,3.69-20.05,6.83-30.1,10.2M 2-2.72,.92-5.44,1.88-8.34,2.41-.85-.2-.2-1.08,.08-1.57,2.88-4.25,5.92-8.42,8.59-12.8,.08-.13,0-.43-.14-.53-1.28-.41-2.85,.57-4.16,.79-12.21,3.68-24.51,7.17-36.97,10.3-.96,.17-1.83,.64-2.78,.07,2.48-4.67,5.95-8.83,8.29-13.57-.26-.78-1.81-.17-2.41-.11-14.79,3.56-29.71,7.15-44.81,9.61-1.44-.14-.25-1.4,.05-2.08,2.06-3.51,4.26-6.95,6.26-10.49,.13-.29,.25-.71,.08-.92-.74-.67-2.12-.08-3.05-.03-10.74,2.07-21.61,3.58-32.48,5.08-5.45,.66-10.88,1.64-16.37,1.91-1.48-.24,.14-1.98,.37-2.75,1.68-3.05,3.4-6.09,5.08-9.15,.21-.5,.73M -1.39,.03-1.69-3.72-.26-7.48,.57-11.21,.75-8.42,.87-16.9,1.28-25.34,1.87-6.44,.54-12.92,.5-19.36,.91-1.08,.12-3.39,.16-2.61-1.31,1.81-4.04,4.2-7.88,5.63-12.07,.07-.26-.33-.69-.67-.7-1.07-.04-2.14-.09-3.21-.09-21.4,.13-42.84-.14-64.19-1.77l.13,.12c1.82-4.49,3.64-8.98,5.46-13.48,.18-.48,.29-1.26-.37-1.4-6.49-.91-13.06-1.28-19.58-1.97-19.82-1.95-39.52-4.81-59.2-7.82l.09,.1c1.68-5.4,2.84-10.98,4.89-16.25l-.13,.07c26.58,4.42,53.27,8.92,80.17,10.99l-.15-.14c.13,.66-.12,1.27-.35,1.9-1.45,4.22-3.32,8.36-4.42,12.67,6.76,1.5M 4,14,1.03,20.93,1.74,14.11,.77,28.26,1.12,42.4,1.17,1.21,.25,5.47-.79,4.53,1.44-1.38,3.15-2.83,6.27-4.2,9.42-1.46,2.98-1.32,2.98,2.53,2.95,8.36-.07,16.69-.49,25.02-.96,9.14-.43,18.26-1.19,27.35-2.02,4.51-.66,3.94,.04,2.55,2.84-1.52,3.11-3.26,6.13-4.76,9.25-.78,1.55,1.86,1.04,2.79,.99,4-.47,8-.9,11.98-1.43,12.33-1.64,24.62-3.54,36.88-5.58,1.7-.04,.6,1.46,.23,2.25-1.88,3.56-4.07,6.99-5.76,10.65-.13,.29,.31,.6,.75,.52,4.32-.81,8.66-1.56,12.95-2.47,11.03-2.39,22.07-4.69,32.99-7.5,.22-.05,.5,.04,.74,.09,.66,.23-.13,1.3-M .35,1.74-1.96,3.83-4.8,7.55-6.29,11.48,1.03,.62,2.27-.23,3.37-.34,10.15-2.54,20.13-5.46,30.09-8.44,3.14-.94,6.3-1.87,9.46-2.78,.18-.05,.47,.12,.69,.22,.17,.34-.17,.85-.31,1.2-2.24,3.8-4.57,7.56-6.85,11.34-.36,.6-.61,1.2-.12,1.81,.04-.22,.03-.34-.19-.43l.2,.38c13.27-4.37,26.52-8.93,39.61-13.72,.2,.23,.5,.42,.46,.54-.17,.51-.37,1.03-.67,1.5-2.26,3.67-4.55,7.33-6.82,10.99-.36,.57-.66,1.17-.97,1.76-.03,.06,.05,.19,.12,.26,.46,.42,1.29-.1,1.83-.19,6.17-2.15,12.22-4.51,18.23-6.94,5.53-2.23,11.04-4.49,16.57-6.72,.46-.19,.M 99-.38,1.53,.11-2.81,4.89-6.01,9.6-9,14.39-.31,.48-.64,.95-.4,1.52-.4-.21-.68,.27-.28,.39,.29-.01,.39-.15,.3-.38Z"/><path class="cls-2" d="M1250.03,891.19c-.37,.86-.06,1.71,.15,2.55,1.39,5.48,2.82,10.96,4.22,16.44,.59,2.32,1.16,4.64,1.7,6.97,.04,.15-.18,.48-.27,.48-1.1-.12-1.63-1.38-2.42-2.04-10.13-10.76-20.2-21.56-30.39-32.25-1.33-1.22-4.93-5.82-3.48-.87,2.27,7.97,4.57,15.94,6.84,23.92,.09,.59,.48,1.38-.28,1.67-9.65-8.67-18.54-18.78-27.93-27.93-.97-.83-4.88-5.34-3.75-1.38,2.7,9.22,5.78,18.34,8.25,27.63,.02,.08-.12M ,.27-.18,.27-1.15,.03-1.72-1.22-2.55-1.83-8.66-8.03-16.8-16.72-25.74-24.39-.04-.02-.3,.09-.29,.13,.27,3.56,1.97,6.89,2.84,10.35,1.89,6.97,4.5,13.78,5.93,20.84-1.73-.53-2.55-1.87-3.87-2.95-6.4-5.83-12.79-11.66-19.21-17.48-1.73-1.32-3.21-2.97-2.27,.64,2.79,9.76,5.6,19.51,8.39,29.26,.04,.32,.16,.99-.22,1.14-.89-.03-1.9-1.33-2.67-1.83-5.87-5.05-11.73-10.1-17.61-15.15-1.07-.73-3.22-3.01-2.53-.02,3.08,10.59,5.7,21.25,8.43,31.9,.04,.38,.21,.94-.09,1.23-1.07,.1-1.8-.92-2.5-1.45-5.32-4.28-10.61-8.57-15.93-12.85-.55-.32-2.77M -2.44-2.87-1.12,2.5,10.23,4.79,20.52,7.07,30.8,.4,1.8,.71,3.61,1.05,5.42,.02,.09-.08,.26-.17,.28-.67,.24-1.14-.21-1.63-.58-5.86-4.45-11.9-8.69-17.66-13.27-.02,.08-.03,.14-.05,.21l.1-.23c-.47,.58-.49,1.22-.37,1.87,.4,2.13,.81,4.25,1.22,6.38,1.73,9.15,3.49,18.29,5.07,27.47,.38,3.6,1.69,6.25-2.65,2.89-4.42-2.99-8.84-5.98-13.28-8.96-.61-.35-1.67-1.28-2.27-.67,.02,5.26,1.48,10.47,2.03,15.7,1.11,8.88,2.41,17.75,3.12,26.67,.01,.13-.3,.29-.49,.41-.35,.11-.78-.17-1.08-.31-4.77-3.01-9.62-5.89-14.44-8.83-.61-.35-1.81-1.19-2.2M 1-.22,.75,13.65,2.23,27.27,2.62,40.95,.09,1.83,.18,3.65,.26,5.48,.01,.27-.58,.55-.89,.42-5.5-2.65-10.89-5.57-16.37-8.27-.95-.31-1.04,.62-1.06,1.29-.04,16.47,.35,32.96-.4,49.41-.13,2.99-1.45,1.8-3.45,1.07-4.03-1.74-8.04-3.5-12.07-5.24-.93-.2-2.42-1.41-3.18-.47-.92,13.97-2.01,27.94-3.4,41.88-.23,4.2-.81,8.37-1.38,12.54-.53,1.6,.43,5.9-2.18,4.87-5.57-1.9-11.14-3.89-16.81-5.48-.5-.12-1.18,.18-1.25,.56-.34,2.13-.66,4.27-1.02,6.4-2.6,16.78-5.67,33.51-9.01,50.17-.69,3.4-1.48,6.78-2.21,10.18-.11,.52-.25,1.07,.26,1.53,0,0,.M 06-.02,.06-.02-6.98-.58-13.76-3.02-20.65-4.31-1.22-.31-.87-1.35-.73-2.23,1.43-6.14,2.92-12.27,4.3-18.41,3.87-16.36,6.59-32.97,9.99-49.4,.61-.69,1.81-.04,2.57,.07,4.16,1.24,8.31,2.51,12.47,3.77,4,1.21,4.13,1.62,4.51-2.1,2.58-17.73,4.4-35.56,5.85-53.42,.12-1.28,.4-2.55,.62-3.82,.05-.26,.29-.38,.61-.31,5.23,1.51,10.16,3.96,15.28,5.8,1.57,.59,1.95,.44,2.06-.83,1.23-17.19,1.18-34.46,1.43-51.67,.76-1.23,2.76,.68,3.77,.83,4.07,1.91,8.12,3.83,12.18,5.75,.48,.23,.97,.34,1.59-.03-.06-15.7-1.64-31.37-2.37-47.04-.02-.3,.56-.55M ,.88-.39,5.23,2.59,10.26,5.56,15.41,8.3,.52,.2,1.32,.28,1.25-.62-1.3-11.15-2.28-22.35-4.01-33.44,.04-1.39-2.15-9.13-.49-8.92,5.38,2.68,10.32,6.21,15.47,9.29,.42,.28,.93,.62,1.42,.35,.46-.25,.33-.77,.28-1.19-.11-.86-.19-1.72-.33-2.57-1.49-9.19-3.2-18.35-5-27.48-.35-1.81-.82-3.61-1.07-5.42-.14-1-.86-2.04,.01-3.06,1.27,.16,2.03,.96,2.92,1.56,4.23,2.84,8.41,5.73,12.61,8.6,.83,.43,1.59,1.43,2.61,1.17-1.43-10.43-4.8-20.97-6.97-31.42-.4-1.69-.83-3.38-1.2-5.08-.03-.13,.23-.32,.4-.44,.76-.03,1.6,.85,2.27,1.21,4.88,3.56,9.74M ,7.13,14.61,10.69,.72,.38,1.4,1.28,2.24,1.23,.1-.03,.24-.13,.24-.2-.02-.64,.03-1.29-.13-1.9-1.13-4.32-2.27-8.64-3.46-12.95-1.58-6.42-4.01-12.75-5.18-19.22,.16-.99,2.27,.92,2.72,1.14,6.11,4.69,12.02,9.64,18.23,14.19,.75,.34,.61-.71,.48-1.14-2.46-8.16-4.94-16.32-7.37-24.49-.68-2.3-1.67-4.54-2.01-6.9-.01-.09,.1-.22,.19-.27,.09-.05,.28-.06,.36-.02,.72,.47,1.48,.91,2.12,1.45,6.15,5.13,12.29,10.28,18.43,15.42,.65,.54,1.31,1.08,1.99,1.6,.06,.05,.28,.02,.39-.02,.1-.05,.23-.17,.21-.25-.14-.74-.25-1.49-.48-2.22-2.76-8.54-5.5M 5-17.09-8.33-25.63-.24-1.17-1.14-2.31-.77-3.48,1.34,.38,2.19,1.48,3.23,2.32,6.68,5.92,13.36,11.84,20.04,17.76,1.25,1.09,3.92,3.8,2.7,.04-2.99-9.18-6.24-18.38-9.09-27.59-.03-1.21,2.07,.9,2.34,1.07,5.8,5.39,11.6,10.78,17.38,16.18,3.15,2.95,6.26,5.92,9.4,8.87,.17,.12,.88,.28,.91-.14-2.67-9.25-5.9-18.34-8.8-27.52-.72-2.43,1.26-.38,2.05,.3,10.5,9.83,20.47,20.04,30.67,30.04,.26,.24,.77-.12,.79-.32-2.17-8.56-5.17-16.93-7.63-25.42-.13-.41-.16-.84-.22-1.26,0-.07,.1-.2,.17-.21,12.48,10.89,23.59,23.86,35.21,35.69,.51,.34,2.73M ,3.34,3.14,2.3-1.32-7.75-4.16-15.34-6.02-23.03-.14-.53-.31-1.05-.42-1.58-.08-.41-.4-.99,.1-1.21,.64-.29,.86,.38,1.14,.68,14.45,14.93,28.08,30.59,42.33,45.68,.24,.14,.88,.16,.76-.31-1.63-7.97-3.37-15.92-5.17-23.86-.02-.09,.06-.28,.12-.29,.22-.02,.56-.05,.67,.05,.77,.74,1.54,1.49,2.24,2.27,6.74,7.54,13.52,15.04,20.18,22.63,8.97,10.23,17.81,20.53,26.73,30.79,.28,.32,.93,.55,1.03,.38,.1-.17,.24-.37,.22-.55-.91-6.85-1.9-13.7-2.82-20.55-.3-2.98,1.51-.55,2.4,.37,18.22,21.16,36.13,42.55,53.85,64.1,.7,1,1.88,1.88,1.85,3.16-M .02,6.57-.04,13.14-.09,19.71,0,.13-.32,.28-.51,.38-.64-.17-1.05-.95-1.52-1.4-16.37-20.18-32.83-40.23-49.74-60.09-.76-.66-1.52-2.3-2.63-2.22-.53,.37-.09,1.25-.09,1.79,.87,6.75,1.75,13.5,2.61,20.24,.02,.19-.11,.39-.2,.58-.08,.16-.73-.1-1.01-.41-2.83-3.27-5.57-6.61-8.38-9.9-11.87-14-23.85-27.93-36.13-41.7-.77-.65-1.29-1.94-2.42-1.89-.31,.57,.11,1.82,.16,2.53,1.38,7.35,3.32,14.61,4.39,22-1.2,0-1.61-.99-2.37-1.7-9.42-10.51-18.81-21.02-28.25-31.52-3.3-3.67-6.71-7.29-10.07-10.92-.31-.33-.64-.7-1.29-.6,.05-.26-.01-.3-.19-.M 13l.27,.07Z"/><path class="cls-2" d="M322.27,493.7c.31-.51,.23-1.05,.13-1.58-.38-2.02-.73-4.05-1.16-6.07-1.48-7.01-2.77-14.04-3.91-21.09-.52-3.31-1.34-6.58-1.65-9.93-.13-1.33,1.01-1.06,1.61-.46,5.49,3.64,10.76,7.64,16.48,10.9,.1,.05,.58-.17,.58-.26,0-.96,.02-1.94-.15-2.89-.98-5.55-1.64-11.12-2.33-16.7-.78-7.64-2.63-15.53-2.52-23.1,1.03-.28,1.85,.66,2.72,1.07,4.29,2.61,8.58,5.22,12.87,7.83,.7,.32,1.61,1.21,2.36,.63-.32-14.93-2.48-30.1-2.61-45.14-.17-2.76,1.44-1.65,3.02-.8,4.81,2.32,9.41,5.17,14.36,7.18,1.04-.03,.67-M 1.49,.8-2.2,0-16.38-.37-32.76,.49-49.12,.02-2.38,1.9-1.08,3.25-.62,4.15,1.79,8.28,3.61,12.43,5.39,.78,.19,2.22,1.14,2.85,.41,1.15-14.49,2.08-29.04,3.58-43.52,.72-5.22,.85-10.61,2.03-15.72,.88-.77,2.31,.42,3.3,.51,5.14,1.51,10.13,3.74,15.37,4.83,.64,.04,.9-.71,.97-1.22,.76-4.7,1.49-9.4,2.27-14.1,2.17-13.81,4.75-27.53,7.51-41.23,.7-3.94,1.95-7.8,2.35-11.79,.01-.16-.27-.34-.42-.51l-.06,.02c6.36,.36,12.47,2.63,18.71,3.81,3.38,.8,3.33,.35,2.69,3.21-4.61,19.32-8.87,38.72-12.42,58.26-.65,2.96-.75,6.04-1.69,8.93-.54,.84-1.M 75,.18-2.52,.06-4.17-1.23-8.33-2.48-12.5-3.71-1.19-.13-3.52-1.75-4.2-.25-1.28,7.33-1.93,14.78-2.94,22.16-1.81,12.4-2.36,24.93-3.9,37.34-.04,.24-.68,.5-.97,.4-5.42-1.84-10.61-4.26-16.01-6.15-1.04-.17-1,1.01-1.07,1.72-.24,4.74-.5,9.47-.69,14.21-.36,11.31-.77,22.62-.58,33.93,.03,3-.03,3.32-.58,3.34-1.46,.05-2.45-.78-3.58-1.29-3.75-1.7-7.43-3.49-11.15-5.24-.67-.19-1.94-1.13-2.32-.14,0,8.08,.44,16.16,.97,24.21,.47,7.42,.94,14.85,1.41,22.27-.12,1.89-2.46-.18-3.3-.41-4.5-2.33-8.81-5.04-13.42-7.14-.12-.04-.52,.16-.58,.3-.1M 3,.29-.17,.63-.14,.94,1.24,11.06,2.25,22.12,4.01,33.12,.38,2.86,1.06,5.74,.97,8.62-.67,.21-1.14,.02-1.58-.25-4.18-2.55-8.35-5.11-12.52-7.66-1.08-.49-2.09-1.72-3.32-1.58-.18,.07-.36,.32-.35,.49,.11,2.38,.57,4.72,.97,7.06,1.19,6.5,2.4,12.99,3.6,19.49,.75,4.05,1.49,8.09,2.2,12.14,.02,.13-.27,.31-.45,.44-5.27-2.49-10.72-7.18-15.84-10.38-.72-.33-1.78-1.66-2.4-.61,1.28,6.45,2.88,12.93,4.32,19.39,1.3,5.61,2.69,11.21,4.02,16.81,.03,.13-.21,.32-.36,.45-1.2-.06-2.16-1.27-3.18-1.86-4.77-3.5-9.53-7-14.29-10.49-.51-.25-1.04-.94M -1.63-.82-.68,.37-.35,1.13-.26,1.74,.88,3.37,1.75,6.75,2.69,10.11,1.96,7.04,3.96,14.07,5.94,21.11,.15,.52,.29,1.05-.04,1.64-1.48-.29-2.5-1.51-3.7-2.33-5.19-4.08-10.38-8.16-15.57-12.24-.57-.44-1.05-1-2.1-1.06,2.55,10.48,6.12,20.75,9.27,31.09,.99,3.74-1.7,.74-3.01-.15-6.24-5.22-12.46-10.45-18.7-15.67-.36-.3-.63-.71-1.24-.72-.1,0-.29,.09-.29,.14,.02,.53-.04,1.07,.11,1.58,1.13,3.66,2.28,7.31,3.47,10.96,1.91,5.83,3.86,11.65,5.79,17.48,.14,.41,.26,.82-.08,1.26-1.2-.37-2.03-1.33-2.96-2.1-6.42-5.67-12.83-11.35-19.24-17.03-M 1.25-.89-2.2-2.45-3.72-2.84-.22-.03-.38,.44-.26,.81,.36,1.15,.72,2.3,1.1,3.44,2.66,8.01,5.32,16.02,7.99,24.03,.17,.52,.44,1.02,.17,1.56-.59,.01-.99-.26-1.35-.58-1.79-1.61-3.61-3.2-5.36-4.84-6.02-5.66-12.01-11.35-18.03-17.02-1.31-1.23-2.65-2.44-4-3.64-.12-.11-.45-.08-.69-.07-.36,.28,0,1.13,.08,1.55,2.74,8.44,5.49,16.88,8.24,25.31,.11,.58,.62,1.31-.09,1.67-.68-.07-1.21-.86-1.75-1.25-10.61-9.87-20.55-20.32-30.99-30.22-.9-.4-.42,.99-.34,1.43,2.43,7.95,4.88,15.89,7.31,23.84,.09,.53,.42,1.42,.14,1.85-1.15,0-1.77-1.2-2.59M -1.84-10.78-10.76-21.33-21.68-31.71-32.69-1.4-1.28-2.24-2.97-4.13-3.65,1.84,8.77,4.81,17.28,6.92,26-.15,1.42-2.38-1.36-2.82-1.68-13.86-14.44-27.13-29.27-40.6-43.92-.12-.12-.47-.11-.72-.12-.04,0-.14,.19-.14,.28,.97,8.11,3.92,15.88,4.84,24.01-1.91-.53-2.73-2.34-4.08-3.6-9.9-11.16-19.82-22.3-29.68-33.49-5.04-5.72-9.95-11.53-14.92-17.29-.55-.51-1.03-1.56-1.91-1.44-.34,.19-.32,.8-.26,1.16,.66,4.71,1.33,9.42,1.99,14.13,.31,2.25,.62,4.5,.89,6.75,.02,.14-.2,.42-.34,.43-.23,.03-.59-.05-.72-.18-.73-.77-1.43-1.56-2.12-2.36-6.M 54-7.64-13.16-15.25-19.61-22.95-11.25-13.42-22.4-26.9-33.59-40.35-.93-1.23-2.36-2.39-2.31-4.03,0-6.36,0-12.71,0-19.07,0-.44,.37-.82,.62-.66,3.21,2.78,5.49,6.67,8.36,9.85,14.33,17.6,28.83,35.12,43.62,52.48,.6,.71,1.29,1.36,1.96,2.03,.12,.09,.59-.03,.62-.21-.43-5.7-1.28-11.36-2.01-17.02,0-1.12-1.77-7.48,.89-4.71,14.36,17.01,28.74,33.88,43.59,50.55,.96,.99,1.57,2.17,2.97,2.66-.8-7.27-2.99-14.46-4.28-21.71-.13-1.03-.61-2.15-.07-3.12,.14-.26,.4-.15,.91,.42,4.62,5.17,9.2,10.36,13.86,15.51,8.76,9.53,17.26,19.34,26.23,28.6M 9,.28,.27,.72-.08,.76-.28-.58-2.43-1.17-4.86-1.79-7.29-1.45-5.7-2.92-11.39-4.37-17.09-.12-.45-.48-1.66,.31-1.64,11.76,11.72,22.88,24.26,34.54,36.17,.47,.49,.83,1.13,1.88,1.19-2.28-9.55-5.5-18.83-7.85-28.42,1.45,.23,1.86,1.2,2.84,2.05,8.34,8.46,16.67,16.93,25.02,25.38,1.33,1.35,2.78,2.63,4.19,3.93,.06,.06,.27,.05,.38,.02,.1-.03,.25-.15,.24-.21-.18-.84-.33-1.69-.58-2.52-2.5-8.27-5.02-16.53-7.52-24.79-.16-.52-.21-1.06-.29-1.6-.01-.09,.07-.26,.16-.28,1.03-.31,1.77,1.13,2.54,1.66,7.68,7.37,15.35,14.74,23.03,22.1,.92,.67M ,1.64,2.01,2.88,2.02,.05,0,.18-.19,.16-.28-.81-2.72-1.64-5.44-2.44-8.16-2.18-7.33-4.35-14.66-6.5-22-.06-.19,.06-.41,.1-.61,.92,.09,1.5,.65,2.09,1.27,3.88,3.58,7.74,7.18,11.66,10.74,3.47,3.16,7,6.27,10.51,9.39,.36,.25,.84,.73,1.32,.58,.1-.05,.2-.19,.18-.28-.51-1.89-1.04-3.78-1.58-5.66-2.37-8.93-5.41-17.8-7.44-26.77,.31-.9,2.1,1.11,2.59,1.38,5.88,5.05,11.74,10.1,17.62,15.15,1,.85,3.63,3.23,2.82,.14-3.07-10.7-5.82-21.45-8.5-32.23-.31-1.03,.76-.89,1.32-.41,2.65,2.15,5.25,4.34,7.91,6.48,3.52,2.83,7.07,5.62,10.62,8.42,.3M 7,.2,1.36,.95,1.54,.26-1.4-7.36-3.45-14.59-5.07-21.9-.93-4.02-1.77-8.06-2.62-12.09-.07-.76-.37-1.96-.08-2.53,.25-.03,.59-.09,.74,0,.93,.62,1.82,1.28,2.7,1.94,4.34,3.23,8.67,6.47,13.02,9.69,.93,.54,1.76,1.6,2.93,1.5,0,.22,.05,.23,.14,.04l-.22,.04Z"/><path class="cls-2" d="M952.46,681.2c4.41,5.15,9.14,10.06,13.35,15.37,.18,.24-.1,.73-.42,.75-3.89,.26-7.8,0-11.69,.24-1.05,.07-1.47,.63-.95,1.29,3.73,4.6,7.48,9.2,11.18,13.82,.3,.53,1.39,1.52,.51,1.92-3.74,.29-7.53,.24-11.24,.81-.58,.07-.85,.54-.55,.96,3.81,5.44,8.2,10.5M 4,11.65,16.21,.14,.62-.88,.83-1.38,.82-3.41,.06-6.91,.6-10.27,.84-.9-.21-1.12-.74-1.46-1.2-3.33-4.42-6.66-8.85-10-13.27-.67-.67-1.29-2.15-2.43-1.83-2.38,1.14-4.51,2.73-6.83,4.01-1.05,.61-1.7,1.71-3.23,1.77-4.11-4-7.44-8.69-11.34-12.91-.37-.43-.67-.95-1.38-1.11-.25,.05-.56,.03-.73,.15-3.08,2.25-5.85,4.71-8.23,7.37,.02,.19-.02,.33,.04,.4,3.99,4.58,7.72,9.39,11.89,13.81,.12,.11,.57,.13,.73,.04,2.82-1.93,5.33-4.26,8.03-6.34,.72-.58,1.31-.51,1.9,.26,3.54,4.56,7.04,9.14,10.35,13.85,.33,.46,.58,.98,1.28,1.27,.73,.13,1.16-M .36,1.67-.65,2.83-1.64,5.64-3.31,8.47-4.96,.31-.18,.88-.1,1.07,.13,4.11,5.34,7.52,11.16,11.14,16.82,.35,.56,.88,1.09,.78,1.79l.15-.15c-.72,0-1.28,.31-1.82,.62-3.2,1.6-5.97,3.84-9.33,5.07-.75-.32-.98-.97-1.34-1.53-2.63-4.13-5.23-8.26-7.88-12.38-.85-1.32-1.53-2.74-2.89-3.82-2.13,.4-3.12,1.94-4.59,2.98-1.71,1.21-3.27,2.55-4.81,3.77-.77-.03-1.09-.34-1.37-.73-2.82-3.92-5.66-7.84-8.5-11.75-1.04-1.01-2.06-4.12-3.83-2.46-2.21,2.12-4.07,4.55-6.1,6.84-.31,.36-.63,.7-1.4,.75-3.28-3.84-6.48-7.87-9.72-11.76-.44-.53-.81-1.12-1.6M 1-1.38-.7,.21-1,.69-1.31,1.17-1.8,2.64-3.3,5.48-5.33,7.96-.7,.46-1.29-.44-1.74-.85-3.05-3.29-5.89-6.75-9.14-9.87-.21-.2-.69-.22-1.11-.35-2.11,3.31-3.33,6.87-5.33,10.1-.9,0-1.26-.47-1.67-.88-2.65-2.58-5.28-5.18-7.94-7.75-.47-.38-1.31-1.15-1.93-.69-1.57,2.92-2.46,6.15-3.73,9.2-.2,.52-.42,1.02-1.1,1.43-3.36-2.33-6.14-5.42-9.38-7.93-.64-.53-1.33-.45-1.52,.17-1.15,3.61-2.29,7.31-3.41,10.9-.74,.09-1.19-.13-1.58-.44-1.9-1.53-3.79-3.06-5.71-4.58-.98-.51-2.71-2.76-3.69-1.31-.96,3.46-1.73,6.97-2.63,10.45-.15,.65-.45,1.54-1.3M 2,1.24-2.87-1.41-5.64-2.98-8.59-4.22-.3-.12-.74-.02-1.12-.02-1.33,4.16-1.67,8.61-3.05,12.73-.09,.13-.47,.24-.67,.2-2.61-.76-4.99-2.12-7.53-3.09-2.08-1-2.49,.07-2.73,1.83-.62,3.19-1.23,6.38-1.87,9.57-.13,.63-.21,1.29-1.03,1.8-2.98-.79-5.84-2.14-8.83-2.95-.36-.11-.91,.1-.98,.36-1,4-1.71,8.06-2.59,12.09-.15,1.06-.48,1.81-1.9,1.31-2.76-.75-5.46-1.93-8.29-2.35-.2,.26-.41,.42-.47,.62-1.09,3.87-1.74,7.84-2.65,11.76-.24,.65-.4,1.76-1.29,1.77-1.95,.11-8.9-3.41-9.61-1.24-1.03,4.54-2.68,9.04-3.35,13.61-3.58-.78-7.14-1.58-10.6M 3-2.6,1.61-4.42,2.35-9.05,3.6-13.57,.54-1.65,7.39,.95,9.05,1.07,1.03,.23,1.63-.02,1.79-.77,.91-4.24,1.79-8.49,2.71-12.73,.6-1.51,7.76,1.23,9.41,1.4,.31,.08,.95-.16,1-.38,1.39-4.33,1.5-9.06,2.87-13.33,.16-.15,.49-.34,.66-.29,2.93,.79,5.82,1.69,8.75,2.44,.86,.12,1.19-.66,1.33-1.32,.36-2.03,.68-4.05,1.04-6.08,.32-1.81,.65-3.62,.99-5.43,.1-.55,.87-.91,1.51-.72,2.89,.85,5.66,2.06,8.56,2.87,.33,.09,.8-.18,.86-.49,.85-4.14,1.37-8.35,2.55-12.42,.07-.25,.67-.46,.99-.35,2.58,.86,5.02,2.07,7.54,3.09,.81,.37,2.25,1.02,2.54-.24M ,.64-2.97,1.25-5.94,1.9-8.91,.4-.91,.29-3.16,1.68-2.89,3.04,1.37,6.01,2.83,8.99,4.33,.46,.23,1.16,0,1.28-.42,.96-3.58,1.95-7.15,2.96-10.71,.41-.95,1.66-.26,2.22,.24,2.15,1.63,4.3,3.27,6.45,4.89,.83,.38,1.95,2.01,2.83,1.15,1.24-3.29,2.36-6.62,3.55-9.93,.27-.76,1.04-.86,1.82-.27,2.97,2.32,5.75,4.84,8.64,7.25,.36,.31,.73,.61,1.48,.59,1.56-2.89,2.8-6.01,4.18-8.99,.23-.51,.5-1,1.09-1.31,.71,.13,1.13,.57,1.56,.97,2.7,2.55,5.39,5.1,8.09,7.65,.51,.49,.92,1.08,1.94,1.27,2.39-3.02,3.75-6.72,6.21-9.7,4.08,2.9,6.99,7.19,10.6,1M 0.66,.4,.43,.74,.91,1.53,.96,2.35-2.05,4.41-5.61,6.59-8.05,.76-.95,.82-1.19,.03-2.01-3.65-3.72-7.19-7.57-10.93-11.21-.4-.35-1.09-.35-1.38,.04-2.07,2.84-4.2,5.74-6.16,8.64-.88-.06-1.29-.49-1.72-.89-2.82-2.61-5.63-5.22-8.47-7.81-.61-.56-1.13-1.22-2.25-1.5-2.15,2.37-3.3,5.59-4.83,8.38-.82,1.8-1.47,1.59-2.69,.55-2.76-2.38-5.64-4.63-8.47-6.94-.47-.38-.93-.79-1.84-.82-2.01,3.26-2.6,7.17-4.55,10.46-.9,.04-1.35-.39-1.84-.75-2.48-1.82-4.94-3.66-7.43-5.48-.73-.43-1.45-1.15-2.37-.9-1.84,3.68-1.87,7.56-3.87,11.24-3.6-1.15-6.6-M 3.44-10.17-4.66-.43-.16-1.15,.14-1.25,.55-.4,1.58-.78,3.16-1.16,4.75-.7,2.08-.75,4.99-1.99,6.71-3.75-1.04-7.29-2.93-10.97-4.27l.09,.09c.87-4.03,1.73-8.06,2.58-12.09,.12-.58,.8-.81,1.55-.51,2.78,1.09,5.51,2.25,8.26,3.4,1.4,.55,1.91,.54,2.24-.74,.76-2.95,1.59-5.89,2.39-8.84,.17-.63,.32-1.27,1.11-1.8,3.7,1.32,7.02,3.67,10.72,4.95,.2,.03,.57-.11,.66-.26,1.37-2.99,2.3-6.19,3.52-9.25,.47-1.83,1.76-.8,2.8-.15,2.65,1.84,5.27,3.69,7.9,5.54,.49,.35,.91,.81,1.82,.83,1.91-2.48,2.88-5.71,4.43-8.45,.36-.63,.82-1.79,1.75-1.26,3.6M 9,2.83,7.25,5.8,11.03,8.52,.75,.33,1.27-.59,1.64-1.08,1.76-2.6,3.28-5.46,5.26-7.88,.92,.01,1.34,.45,1.78,.83,2.62,2.32,5.23,4.64,7.84,6.97,1.18,.92,1.96,2.28,3.54,2.55,2.6-2.65,4.98-5.39,7.83-7.71,1.08,.15,1.48,.75,1.96,1.23,3.7,3.7,7.37,7.41,11,11.17,.35,.36,.98,.4,1.41,.09,3.02-2.13,6.05-4.26,9.06-6.39-1.83-2.48-4.22-4.97-11.07-11.54-.68-.65-1.19-1.45-2.36-1.83-3.67,1.78-6.08,4.87-9.84,6.6-3.76-3.27-7.39-6.56-11.13-9.85-.7-.49-1.63-1.67-2.56-1.13-2.33,2.03-4.19,4.41-6.05,6.83-.35,.44-.62,.94-1.28,1.15-4.29-2.67-8M .23-6.23-12.28-9.12-.27-.6,.11-.93,.38-1.29,2.11-2.59,3.74-5.64,6.2-7.91,.82-.33,1.66,.56,2.31,.94,3.63,2.71,7.06,5.69,10.79,8.26,.57,.22,1.25-.3,1.65-.66,2.39-2.21,5.2-4.05,7.9-5.92,.87-.04,1.27,.43,1.7,.81,4.05,3.55,8.16,7.11,12.16,10.7,3.89-.52,7.56-2.41,11.36-3.45,.14-.61-.32-1.01-.75-1.4-3.99-3.99-8.58-7.46-12.27-11.69,3.66-1.65,7.7-2.48,11.68-3.63-.14-.35-.15-.69-.37-.89-4.13-3.86-8.46-7.53-12.7-11.28-1.33-1.94,11.62-2.75,12.7-4.04-.15-.75-.83-1.16-1.38-1.62-3.95-3.39-7.98-6.7-11.9-10.11-.39-.35-.16-.85,.45-.M 96,2.49-.45,4.99-.9,7.49-1.33,1.97-.33,3.96-.62,5.94-.93,1.3-.61-.74-1.69-1.2-2.25-2.92-2.38-5.86-4.75-8.8-7.13-.39-.32-.71-.65-.47-1.22,5.07-.88,10.41-.93,15.56-1.34,.48-.03,1.16,.11,1.31-.47,.13-.49-.39-.76-.75-1.05-3.11-2.54-6.23-5.07-9.32-7.62-1.31-1.33,.04-1.17,1.13-1.34,5.38-.18,10.77-.47,16.16-.17,1.68,.07,2.66-.18,.98-1.65-2.77-2.35-5.61-4.65-8.4-6.99-.41-.37-1.21-.72-.75-1.32,.39-.51,1.2-.31,1.85-.31,6.2,.09,12.38,.43,18.56,.89,.86-.05,1.93,.44,2.57-.28,.12-.49-.71-.92-.99-1.3-2.77-2.5-5.54-4.99-8.32-7.48-M .37-.33-.65-.67-.41-1.17,5.72,.07,11.5,.87,17.21,1.47,3.05,.4,6.12,.7,9.19,1.01,.16,.02,.39-.19,.54-.33,.21-.31-.21-.61-.4-.85-2.34-2.38-4.78-4.67-7.16-7.01-.5-.68-1.69-1.24-1.41-2.17,1.07-.26,2.43,0,3.55,.08,8.59,1.3,17.25,2.38,25.7,4.24,.72,.09,1.59,.38,2.22-.11,.06-.04,.05-.23-.01-.31-2.82-3.44-5.86-6.7-8.77-10.06-.21-.3,.34-.63,.53-.64,11.29,1.74,22.5,4.32,33.55,7.09,.9,.23,1.78,.51,2.75,.29,.09,.21,.14,.22,.14,0l-.21,.07c.24-.44,.08-.83-.21-1.21-2.25-2.94-4.5-5.88-6.73-8.83-.34-.45-.62-.94-.9-1.41-.05-.08,0-.2M 2,.07-.3,.07-.08,.24-.17,.34-.15,1.18,.19,2.37,.35,3.52,.62,10.48,2.43,20.8,5.22,31.03,8.26,2.52,.75,5.05,1.47,7.59,2.18,.18,.05,.47-.12,.69-.23-1.83-4.07-5.12-7.8-7.46-11.73-.17-.26-.15-.6-.17-.91,0-.06,.21-.2,.3-.19,.65,.1,1.31,.18,1.93,.36,11.4,3.29,22.72,6.73,33.8,10.67,4.55,1.62,9.11,3.21,13.68,4.8,.18,.06,.48-.08,.7-.16,.23-.22-.01-.63-.1-.89-1.73-3.4-3.57-6.74-5.34-10.12-.64-1.47-2.58-3.75,.59-2.72,19.25,6.53,38.06,14.01,56.7,21.94,2.07,.55,.07-2.8-.14-3.63-1.33-3.27-2.68-6.55-4.01-9.82-.24-.79-.72-1.49-.06-M 2.21,23.36,9.05,45.8,19.82,68.3,30.65,1.67,.53,.91-1.53,.74-2.4-1.27-4.73-2.71-9.42-3.78-14.2-.04-.36,.62-.46,.82-.41,15.5,7,30.72,14.77,45.74,22.55,10.92,5.74,21.72,11.62,32.42,17.62,.88,.49,1.79,.95,2.72,1.39,.12,.06,.61-.12,.64-.23,.25-3.61-.89-7.28-1.18-10.91-.17-2.54-1.1-5.19-.81-7.67,.74-.13,1.29,.19,1.84,.49,2.91,1.56,5.83,3.11,8.72,4.69,29.24,15.96,57.77,32.79,85.79,50.69,.66,.44,.97,.99,.97,1.69,0,6.57,.07,13.14-.04,19.71-.09,.47-.67,.66-1.13,.5-.79-.35-1.48-.94-2.22-1.39-29.28-19.69-59.3-38.41-90.03-55.83M -.43-.2-1.05,.02-1.08,.51,.23,6.03,2.1,11.97,2.2,17.97-.69,.58-1.66-.35-2.32-.62-10.62-6.45-21.45-12.67-32.35-18.83-13.66-7.71-27.66-15.07-41.65-22.28-1.02-.52-2.09-.98-3.15-1.45-.09-.04-.3-.01-.39,.05-.18,.13-.46,.33-.43,.46,.52,2.11,1.06,4.22,1.64,6.32,.84,3.05,1.71,6.09,2.55,9.14,.08,.44,.3,1.5-.49,1.24-21.5-10.78-42.61-21.94-64.87-31.52-.81-.26-1.71-.83-2.54-.78-.12,.18-.3,.41-.24,.57,1.85,4.84,3.77,9.65,5.65,14.48,.09,.24,.06,.46-.24,.55-18.97-7.54-37.8-17.5-57.57-23.73-.32,.1-.41,.28-.3,.51,2.01,4.13,4.2,8.17M ,6.33,12.23,1.41,2.78-1.34,1.08-2.63,.71-14.89-6.16-30.26-11.48-45.63-16.47-.2-.07-.56-.02-.72,.09-.14,.1-.18,.39-.1,.55,2.33,4.16,5.43,7.88,7.69,12.07,.05,.09,.05,.27-.01,.3-.71,.48-1.47-.04-2.19-.23-11.77-4.01-23.69-7.71-35.77-11.06-1.27-.35-2.57-.61-3.87-.87-.18-.04-.45,.14-.64,.25,2.23,4.04,5.97,7.6,8.34,11.71-1.2,.66-2.92-.4-4.22-.6-10.39-2.96-20.94-5.72-31.61-7.85-.35-.09-.59,.42-.49,.63,1.18,1.44,2.39,2.86,3.6,4.29,1.73,2.05,3.47,4.1,5.19,6.16,.06,.07,.06,.25,0,.3-.16,.13-.4,.34-.55,.31-1.83-.35-3.67-.69-5.4M 7-1.13-7.88-1.88-15.9-3.29-23.92-4.7-.37-.07-1-.09-1.13,.07-.32,.39,.11,.77,.4,1.1,.31,.35,.64,.69,.97,1.03,2.33,2.37,4.67,4.74,6.99,7.12,.48,.5,1.13,.95,1.08,1.77-8.08-.73-16.06-2.74-24.18-3.39-.85-.08-2.01-.62-2.52,.21-.38,.62,.67,1.08,1.16,1.56,2.81,2.75,5.64,5.49,8.44,8.24,.13,.12,.05,.4,.01,.59-.01,.05-.23,.1-.36,.11-2.67-.07-5.31-.75-7.98-.91-4.55-.39-9.09-.95-13.68-.93-.2,0-.51,.17-.58,.32-.08,.16-.04,.44,.09,.58,2.75,2.68,5.75,5.14,8.57,7.74,.53,.48,.98,1.02,1.41,1.56,.09,.11-.1,.36-.19,.63-6.28-.34-12.65-.M 82-18.92-.4-.19,.09-.44,.4-.38,.48,.34,.46,.73,.9,1.18,1.3,2.62,2.32,5.27,4.62,7.88,6.94,2.05,1.88,1.93,2.16-.84,2.21-4.57,.26-9.13,.52-13.7,.79-1.94,.54,2.38,3.18,2.89,3.91,3.2,2.92,6.38,5.84,9.56,8.76,.38,.35,.53,.74,.07,1.22-4.72,.32-9.58,.45-14.25,1.48-.03,.28-.16,.54-.05,.66,.56,.6,1.18,1.17,1.79,1.75,3.64,3.46,7.29,6.92,10.93,10.38,.37,.35,.53,.73,.11,1.18-3.65,.52-7.36,1.04-11.06,1.58-.54,.11-1.91,.31-1.54,1.09,3.8,3.94,7.83,7.67,11.71,11.53,.48,.61,1.38,1.12,1.04,1.97-3.85,.82-7.9,1.12-11.52,2.39-.19,.61,.1M 2,.96,.45,1.3,4.04,4.25,8.28,8.39,12.06,12.85-.36,.67-1.03,.8-1.65,.95-3.13,.77-6.19,1.39-9.28,2.37,.07,1.23,1.18,1.88,1.88,2.79,3.59,4.1,7.14,8.34,10.79,12.37,1.55,.14,2.75-.49,4.08-.64,2.55-.49,5.34-.55,7.77-1.41-.04-.88-.71-1.45-1.23-2.06-3.46-4.11-6.94-8.21-10.4-12.31-.36-.42-.87-.82-.58-1.52,3.79-.99,7.86-1.03,11.88-1.65,.16-1.37-1.15-2.11-1.88-3.11-3.48-3.84-7.05-7.6-10.5-11.47-.32-.38-.06-.96,.5-1.02,4.41-.43,8.81-.98,13.25-1.01l.24,.15Z"/><path class="cls-2" d="M660.75,307.25s.01,0,.01-.01t.01,.02h-.05s.02,M 0,.03-.01Z"/><path class="cls-2" d="M892.55,367.67c-.06,0-.11,.03-.17,.04,.03-.05,.06-.11,.09-.16l.08,.12Z"/><path class="cls-2" d="M933.79,370.86s-.09,.02-.13,.04c.01-.04,.03-.08,.05-.12l.08,.08Z"/><path class="cls-2" d="M1024.28,414.74h.14l-.03,.09-.11-.09Z"/><path class="cls-2" d="M1093.82,419.36s.04-.07,.06-.11c.02,.01,.05,.01,.07,.01l-.13,.1Z"/><path class="cls-2" d="M1098.65,405.12c-1.65,4.68-2.86,9.56-4.77,14.13-23.09-2.36-46.24-4.11-69.46-4.51,3.1-7.77,4.39-11.42,4.55-12.91,.01-.1-.08-.2-.16-.4-15.84-.31-31M .76,.37-47.58,1.19-15.75,.7-12.21,3.11-7.18-10.9,.61-1.83-4.54-.62-5.52-.7-15.34,1.55-30.59,3.66-45.82,6.05-.52,.08-1.08-.38-.94-.77,1.24-3.32,2.86-6.5,4.27-9.75,1.35-2.85-1.51-1.57-3.12-1.44-13.43,2.71-26.87,5.32-40.15,8.66-.76,.03-3.03,1.03-3.09-.14,1.25-3.67,3.18-7.09,4.75-10.62,.36-1.35-.53-1.3-1.85-.91-12.84,3.43-25.75,7.01-38.29,11.22-.6,.2-1.28,.25-1.92,.35-.07,0-.27-.16-.26-.23,.93-3.73,3.07-7.09,4.52-10.67,1.42-2.47-.85-1.58-2.25-1.13-5.45,1.87-10.92,3.69-16.32,5.64-6.13,2.21-12.2,4.55-18.29,6.83-.64,.29-2M .07,.79-1.9-.36,1.56-3.56,3.34-7.04,4.97-10.57,.13-.64,1.05-1.68,0-1.91-11.54,3.99-22.74,9.28-33.92,14.09-.45-.46-.41-.87-.24-1.29,1.69-4.09,3.51-8.12,5.1-12.25,.02-.07-.11-.2-.2-.26-.69-.24-1.77,.56-2.46,.77-7.89,3.73-15.54,7.76-23.19,11.78-1.29,.68-3.71,2.17-2.43-.63,1.85-4.37,4.06-8.63,5.66-13.1-.3-.76-1.47,.15-1.97,.31-5.11,2.81-10.24,5.59-15.3,8.44-3.27,1.61-6.06,4.17-9.46,5.34-.36-.47-.11-.86,.06-1.27,2.1-4.77,4.2-9.54,6.27-14.32,.86-2.51-2.71,.34-3.52,.68-6.56,3.96-13.12,7.92-19.68,11.88-.72,.36-1.51,1.17-2.M 36,1.05-.15-.07-.26-.39-.19-.56,2.33-5.52,5.11-10.89,7.63-16.32,.77-1.5,.53-1.99-1.08-1.17-6.48,3.68-12.61,7.69-18.79,11.77-.92-.83-1.85-1.63-2.79-2.41,1.93-4.28,3.84-8.56,6.03-12.76,.47-.88,.82-1.81,1.2-2.72,.03-.08-.07-.21-.15-.29-.56-.19-1.45,.56-1.98,.79-4.55,2.87-9.1,5.76-13.64,8.64-1.65-1.08-3.33-2.11-5.04-3.07,2.22-4.54,4.45-9.09,6.68-13.63,.24-.5,.39-1.02,.56-1.54,.03-.08-.07-.21-.15-.28-.55-.23-1.19,.38-1.68,.58-5.22,3.29-10.42,6.61-15.63,9.91-1.41-.59-2.83-1.13-4.26-1.63,3.41-7.27,7.58-14.26,10.95-21.58,.M 02-.17-.3-.39-.49-.32-5.12,2.46-9.86,5.63-14.82,8.39-1.93,1.1-4.14,2.78-2.33-.92,4.1-8.54,8.53-16.98,13.24-25.32,.42-1.08,1.59-2.09,1.41-3.27-.05-.22-.51-.2-1.04,.07-5.77,2.97-11.45,6.06-17.2,9.07-1.36,.12-.61-.85-.28-1.59,5.92-11.27,12.17-22.29,18.64-33.3,.39-.77-.91-.64-1.31-.41-5.92,2.94-12.22,5.29-17.92,8.62-1.01-1.04,.3-2.25,.69-3.29,6.82-12.72,14.58-25.07,22.03-37.51-.43-.09-.85-.32-1.09-.23-2.57,.94-5.13,1.9-7.67,2.89-3.63,1.41-7.25,2.85-10.87,4.29-.35,.14-.79,.34-1.03,0-.15-.23-.1-.64,.05-.89,3.58-6.03,7.09M -12.09,10.8-18.07,5.55-9.19,11.73-18.09,17.11-27.39-1.33-.51-2.56,.39-3.87,.64-5.4,1.66-10.8,3.33-16.2,4.99-.62,.1-1.68,.7-1.95-.11,10.35-18.09,22.77-35.2,34.13-52.74,.21-1.07-2.93,.09-3.55,.04-6.25,1.32-12.49,2.67-18.73,3.99-.23,.04-.57-.02-.73-.13-.43-.42,.06-1.02,.3-1.44,2.41-3.73,4.8-7.47,7.25-11.18,7-10.56,14.22-21.03,21.55-31.45,3.57-5.06,7.28-10.07,10.9-15.11,.46-.64,.83-1.34,1.2-2.02,.13-.24-.06-.45-.37-.47-7.48,.32-14.92,1.73-22.39,2.38-1.68,.38-2.61-.24-1.26-1.71,11.54-16.59,23.19-33.11,35.27-49.36,4.46-6M .02,9.06-11.98,13.6-17.96,.21-.28,.48-.54,.63-.83,.6-1.23,2.02-1.3,3.37-1.27,7.41-.01,14.83-.03,22.24-.03,.66,0,1.33,.09,1.97,.21,.15,.03,.38,.39,.31,.51-15.12,19.31-31.01,38.31-45.35,58.08-2.06,2.91-4.4,5.63-6.29,8.65-.12,.21,.33,.69,.65,.68,.94-.04,1.88-.04,2.81-.14,6.82-.72,13.6-1.57,20.43-2.18,.21,0,.54,.12,.64,.26,.1,.15,.08,.43-.03,.59-14.41,18.84-28.85,37.52-42.22,56.97-.27,.46-.94,1.37-.11,1.58,7.23-1.24,14.35-2.9,21.53-4.36,2.53-.39,.94,1.06,.2,2.2-11.62,16.22-24.2,32.31-34.37,49.27,.24,.08,.53,.22,.73,.16M ,1.53-.41,3.05-.85,4.56-1.3,4.92-1.46,9.83-2.94,14.75-4.41,.63-.09,1.62-.69,2.06,.03-9.06,13.86-19.07,27.48-27.77,41.55-.45,.95-1.49,1.82-1.39,2.9,.03,.21,.61,.25,1.1,.06,5.72-2.18,11.43-4.34,17.17-6.48,1.39-.45,3.7-1.56,2.07,.91-4.46,6.76-9,13.48-13.4,20.27-3.34,5.16-6.5,10.4-9.73,15.61-1.75,2.93,.24,1.91,2.16,1,5.7-2.31,11.15-5.49,17.02-7.28,.07-.02,.29,.15,.27,.21-.68,1.9-2.06,3.5-3.07,5.24-5.41,8.32-10.39,16.79-15.43,25.25-.58,.97-1.08,1.97-1.61,2.96-.23,.3,.26,.7,.6,.56,5.83-2.62,11.43-5.68,17.18-8.47,.44-.21,M .97-.32,1.46-.45,.07-.02,.3,.15,.29,.2-5.27,9.63-11.29,18.99-16.49,28.7-.14,.26-.05,.61-.03,.92,0,.06,.2,.17,.25,.15,7.12-3.49,13.82-7.88,20.81-11.68,.96-.42,2.42-1.48,3.41-1.52,.1,.18,.27,.42,.19,.56-.46,.89-.99,1.76-1.49,2.65-3.98,7.06-7.96,14.13-11.92,21.2-.26,.47-.7,.93-.51,1.5,.03,.08,.22,.19,.26,.18,8.45-4.25,16.26-9.65,24.61-14.1,.16,.26,.4,.47,.35,.6-.32,.7-.68,1.39-1.08,2.07-3.75,6.33-6.97,12.84-10.38,19.28-.21,.39-.44,.79,.04,1.3,7.88-4.62,15.87-9.21,23.95-13.64,1.96-1.02,1.74-.05,.97,1.42-3.27,5.9-6.65,1M 1.73-9.63,17.78-.13,.25-.11,.47,.2,.54,1.36,.04,2.48-1.21,3.7-1.74,5.92-3.38,11.82-6.78,17.76-10.15,1.41-.8,2.94-1.48,4.44-2.19,.13-.06,.44,.14,.74,.25-3.23,5.64-6.01,11.51-8.96,17.29-.11,.22,.01,.4,.31,.48,8.93-4.02,17.44-9.48,26.45-13.59,.65-.21,1.23-.17,.88,.79-2.56,4.85-5.32,9.61-7.56,14.62-.07,1.72,3.25-.76,4.01-.95,6.74-3.38,13.45-6.78,20.37-9.92,1.4-.63,2.84-1.21,4.26-1.81,.31-.13,.54-.04,.66,.21-1.45,4.78-4.92,9.27-6.76,14.07-.06,.15,.14,.38,.27,.54,.83,.04,1.75-.56,2.55-.82,10.12-4.5,20.59-8.48,30.91-12.67M ,.92-.24,1.99-.99,2.92-.48,.07,.03,.1,.2,.07,.27-.35,.7-.7,1.4-1.08,2.08-1.79,3.25-3.6,6.5-5.39,9.75-.16,.47-.61,1.03-.38,1.51,.14,.24,.37,.33,.67,.23,1.36-.46,2.73-.89,4.07-1.39,10.51-3.89,21.06-7.71,31.81-11.15,1.13-.21,2.29-1.1,3.4-.46-1.97,4.33-4.65,8.45-6.58,12.79,.9,.62,1.74,.03,2.66-.17,13.6-4.26,27.38-8.4,41.31-11.7-2.09,3.76-4.02,7.6-5.99,11.41-.2,.59-.96,1.74,.02,1.9,15.65-3.66,31.36-7.15,47.25-10.12-1.62,3.63-3.51,7.13-5.3,10.67-.32,.84-1.67,2.58,.1,2.59,14.11-2.35,28.31-4.28,42.51-6.03,2.79-.33,5.6-.54,M 8.41-.77,.31-.03,.64,.19,1.05,.33-1.21,3.07-2.69,5.89-4.06,8.87-2.01,4.2-2.07,3.85,3.5,3.56,10.84-1.02,21.73-1.51,32.61-1.9,6.73-.32,13.44-.58,20.19-.52,.62,.09,1.8-.16,1.95,.63-1.18,4.1-3.38,7.91-4.64,12-.15,1.6,3.72,.78,4.84,1.05,21.3,.64,42.67,1.17,63.83,3.74Z"/><path class="cls-2" d="M1098.8,405.14c-.05,0-.1,0-.15-.02,0-.02,0-.04,.02-.06l.13,.08Z"/><path class="cls-2" d="M342.41,1034.62c.07,.02,.13,.04,.2,.06-.02,.03-.03,.05-.04,.08l-.16-.14Z"/><path class="cls-2" d="M347.44,1020.44s-.02,.07-.03,.1c-.03,0-.06-.M 01-.09-.01l.12-.09Z"/><path class="cls-2" d="M417,1025.05h-.14l.03-.09,.11,.09Z"/><path class="cls-2" d="M620.09,1061.48c-10.38,3.8-20.73,7.63-31.35,10.97-.83,.16-1.77,.79-2.57,.27-.07-.04-.09-.21-.05-.3,1.76-4.21,4.49-8.01,6.2-12.24,.06-.15-.14-.38-.27-.55-13.56,3.72-27.11,8.33-40.96,11.67-.76,.2-.75,.21-2-.14,2.11-3.83,4.03-7.74,5.98-11.64,.39-.75-.53-.87-1.06-.89-11.63,2.69-23.23,5.54-35,7.78-3.52,.61-7.03,1.67-10.61,1.88-1.19-.25-.04-1.55,.18-2.21,1.62-3.3,3.51-6.48,4.87-9.91,.19-.74-.86-.72-1.35-.66-9.64,1.55-M 19.27,3.17-28.96,4.39-4.52,.59-9.05,1.16-13.57,1.7-2.86,.15-5.86,1.04-8.68,.56-.17-.86,.38-1.53,.69-2.22,1.1-2.43,2.28-4.84,3.41-7.25,.42-1.15,2.2-3.35-.28-3.28-12.36,.86-24.69,1.8-37.08,2.13-6.06,.2-12.11,.6-18.18,.51-.8-.01-1.61-.06-2.4-.15-.16-.02-.41-.32-.38-.47,1.09-4.23,3.71-8.04,4.58-12.31,.05-.26-.1-.44-.41-.48-3.87-.47-7.79-.32-11.68-.44-18.86-.53-37.84-1.23-56.55-3.52,1.85-4.61,3.16-9.44,4.8-14.14,23.07,2.56,46.25,3.97,69.45,4.51-1.53,4.1-3.06,8.19-4.58,12.29-.33,1.15,1.39,1.14,2.23,1.13,18.73,.12,37.41-.M 97,56.11-1.96,1.94,.07-.79,4.47-1.03,5.56-.82,2.05-1.64,4.1-2.46,6.15-.11,.28,.27,.68,.61,.7,13.48-.85,26.95-2.83,40.31-4.84,3.44-.51,6.88-1.02,10.32-1.52,.63-.09,1.06,.28,.89,.74-1.34,3.64-3.18,7.08-4.58,10.69-.17,.46,.24,.91,.78,.86,14.93-2.44,29.75-5.93,44.47-9.4,.36-.09,.76-.05,1.14-.03,.1,0,.28,.15,.27,.22-1.23,3.98-3.51,7.64-5,11.56-.12,.28,.36,.61,.76,.51,8.75-2.04,17.32-4.73,25.94-7.18,4.54-1.34,9.01-2.85,13.51-4.28,.5-.16,1.02-.28,1.52-.41,.34-.08,.82,.29,.73,.56-6.42,15.97-8.87,13.26,7.95,8.02l-1.21,3.7c4M .71,1.54,9.73,2.72,14.55,3.36Z"/><path class="cls-2" d="M657.29,1058.29c-.07-.1-.13-.17-.2-.25,.04,.04,.09,.09,.14,.14,.01,.04,.04,.07,.06,.11Z"/><path class="cls-2" d="M706.98,1045.42h-.01l.06-.07h0s-.05,.07-.05,.07Z"/><path class="cls-2" d="M707.04,1045.35h0Z"/><path class="cls-2" d="M775.96,1083.78s-.03,0-.04,.01c-.01-.02-.02-.05-.02-.08,0,0,0,.01,0,.01,.02,.02,.05,.06,.05,.06Z"/><path class="cls-2" d="M767.67,1155.66c4.11-7.02,8.04-14.1,12.05-21.16,.27-.48,.53-.97,.35-1.51-.69-.19-1.23,.11-1.79,.37-5.83,2.48-11M .51,5.9-17.46,7.83-.11-.18-.28-.41-.21-.56,.31-.7,.66-1.4,1.07-2.08,6.06-10.05,11.66-20.27,17.09-30.55,.36-.69,.66-1.4,.97-2.11,.03-.07-.09-.2-.18-.27-.75-.12-1.69,.62-2.4,.88-4.14,2.21-8.26,4.43-12.38,6.64-1.35,.6-2.55,1.7-4.09,1.68-.07-1.21,.91-2.16,1.41-3.21,4.72-8.4,9.2-16.88,13.29-25.5,.35-.76,.9-1.47,.53-2.32-4.93,2.15-10.19,5.94-15.08,8.55-.97,.4-1.93,1.45-3.03,1.16-.07-.02-.15-.2-.11-.28,.31-.7,.61-1.41,.97-2.11,4.06-7.71,8.19-15.41,11.8-23.33,.32-.74,.79-1.37-.44-1.25-4.32,2.75-8.59,5.54-12.93,8.27-3.06,1.M 93-6.19,3.8-9.29,5.68-.28,.16-.53,.08-.65-.13-.05-.1-.14-.21-.11-.29,.34-.82,.68-1.63,1.07-2.43,2.94-6.01,5.9-12.01,8.84-18.02,.25-.81,1.33-1.94,.7-2.69-.92,.16-1.79,.95-2.64,1.39-6.64,4.22-13.28,8.44-19.93,12.65-.4,.26-.91,.42-1.39,.61-.04,.01-.22-.1-.25-.18-.22-.45,.11-.82,.31-1.2,2.86-5.46,5.38-11.03,7.86-16.6,.36-.81,.69-1.63,.99-2.45,.05-.13-.18-.32-.35-.58-8.01,4.89-15.68,10.28-23.89,14.87-.09,.05-.34,.06-.38,.01-.65-.58,.09-1.4,.28-2.05,2.42-5.14,4.93-10.23,7.28-15.4,.14-.3,.27-.6,0-.91-1.06-.35-2.32,1.09-3.M 3,1.52-6.12,3.7-12.24,7.4-18.37,11.1-5.29,3.35-4.26,1.97-2.25-2.58,1.88-3.87,3.01-8.11,5.32-11.71-.91-.7-1.95-.03-2.78,.5-5.35,3.42-11.01,6.5-16.68,9.56-2.11,1.15-4.19,2.32-6.28,3.49-.44,.24-.87,.4-1.4,.29-.1-1.33,.7-2.45,1.2-3.63,1.48-3.41,3.09-6.76,4.49-10.2-17.68,11.18-38.94,18.25-60.35,16.59-2,3.75-4.21,7.44-6.14,11.23-.08,.15,.09,.39,.19,.56,12.13-3.85,24.05-9.58,35.92-14.32,.49,.47,.42,.9,.21,1.3-2.18,4.4-4.55,8.73-6.63,13.18-.06,.14,.12,.37,.24,.53,1.55-.25,3.15-1.23,4.63-1.82,8.2-3.76,15.98-8.23,24.31-11.65M ,.05,.31,.25,.65,.13,.9-.85,1.81-1.73,3.62-2.66,5.41-1.57,2.97-3.18,5.93-4.76,8.9-.15,.29-.36,.57-.06,.89,.16,.18,.61,.2,1.07-.03,1.95-.96,3.93-1.89,5.83-2.9,6.85-3.55,13.56-7.4,20.48-10.82,.46,.5,.25,.9,.04,1.3-2.46,5.27-6.5,11.54-8.35,16.71,.12,.2,.36,.26,.65,.11,1.14-.57,2.3-1.12,3.39-1.74,7.45-4.22,14.69-8.49,22.18-12.64,.07,.47,.25,.81,.13,1.06-2.85,5.85-6.2,11.47-9.32,17.18-.93,1.76-1.36,2.88,1.09,1.64,7.14-4.05,14.49-7.87,21.34-12.25,1.31-.89,3.24-1.89,1.93,.69-3.23,6.16-6.28,12.37-9.88,18.4-.29,.71-2.15,3.0M 1-.33,2.68,7.47-4.18,14.77-8.67,22.18-12.96,.64-.31,1.24-.94,2-.64,.36,.33-.28,1.09-.41,1.49-4.13,7.36-8.27,14.73-12.4,22.09-1.09,1.8-1.94,3.19,.96,1.72,7.4-4.42,15.35-8.13,22.39-13.03,.01,0,.01,.01,.01,.01-.05,.07-.03,.1,.06,.08,.33,.43,.39,.91,.15,1.38-.87,1.69-1.76,3.38-2.69,5.05-4.3,8.02-9.46,15.65-13.85,23.68-.02,.04,.18,.23,.26,.22,.37-.04,.79-.06,1.09-.21,5.86-2.87,11.62-5.89,17.51-8.68,.38-.23,.78,.03,.76,.39-5.31,9.72-11.2,19.08-17.15,28.51-.98,1.74-2.45,3.31-3.03,5.23,0,.06,.21,.22,.28,.21,.51-.11,1.04-.2M ,1.49-.4,5.91-2.57,11.73-5.31,17.67-7.8,.45-.2,.69,.43,.64,.53-7.38,13.12-16.07,25.55-24.33,38.26-.2,.41,.5,.47,.73,.46,4.95-1.59,9.77-3.62,14.66-5.38,1.83-.54,3.59-1.82,5.5-1.8,.28,.1,.38,.31,.23,.54-2.5,3.94-4.93,7.9-7.51,11.79-6.83,10.27-13.57,20.58-20.88,30.63-.3,.64-1.3,1.28-.67,1.96,6.58-1.19,13.12-3.87,19.66-5.6,.78-.21,1.5-.57,2.26-.08-10.45,16.59-22.28,32.45-33.91,48.46-.54,.74-1.08,1.48-1.58,2.25-.08,.13,.04,.38,.13,.56,.65,.32,1.61-.08,2.33-.12,6.78-1.32,13.51-3.02,20.31-4.17,.17,0,.5,.28,.47,.37-.2,.5-.M 43,1.01-.75,1.47-2.02,2.92-4.04,5.84-6.12,8.74-11.45,16.23-23.76,32.04-35.82,47.98-.52,1.5,3.17,.52,3.99,.6,4.8-.53,9.59-1.1,14.39-1.65,1.86-.2,3.74-.43,5.61-.56,.32-.02,.7,.47,.53,.72-.64,.95-1.26,1.9-1.94,2.82-15.7,21.86-33.18,42.82-49.78,64.21,.15,.79,1.35,.56,1.96,.65,8.33-.12,16.71,.28,25.03-.19,17.53-22.43,34.01-45.63,50.21-69,1.8-2.48,.04-1.98-1.91-1.96-6.94,.74-13.86,1.59-20.8,2.36-2.32,.18-.46-1.48,.06-2.55,3.68-5.14,7.42-10.25,11.06-15.41,9.97-14.28,19.96-28.46,29.05-43.24,.18-1.1-1.49-.52-2.11-.48-6.36,1M .36-12.72,2.77-19.09,4.14-.65,.14-1.31,.27-2.12-.21,11.66-17.45,23.75-34.83,34.36-52.94-.89-.61-1.76-.09-2.68,.12-5.4,1.66-10.79,3.34-16.2,5-1.72,.36-4.3,1.77-2.28-1.24,9.04-14.79,19.49-29.44,27.02-44.63-.97-.48-1.95,.39-2.89,.64-4.96,1.94-9.91,3.9-14.87,5.83-.82,.21-1.73,.83-2.56,.65-.1-.06-.23-.19-.21-.25,.15-.41,.28-.83,.52-1.21,3.3-5.42,6.71-10.8,9.9-16.26Zm-87.93-96.35s0,.08,.01,.11c-.22-.04-.22-.09-.01-.11Z"/><path class="cls-2" d="M780.14,1133.01s-.05-.02-.07-.02c0-.01-.01-.03-.01-.04l.08,.06Z"/><path class=M "cls-2" d="M555.62,1219.39c-.99-1.21,.96-2.1,1.6-2.98,7.4-7.4,14.81-14.8,22.21-22.2,.42-.58,1.48-1.05,1.14-1.84-.02-.06-.25-.13-.34-.1-11.26,3.15-22.38,6.82-33.6,10.15-.88,.27-1.78,.5-2.68,.71-.15,.03-.41-.17-.56-.29,6.26-7.42,13.83-14.29,20.52-21.53,.3-.45,2.03-1.94,.98-2.07-4.34,1.04-8.56,2.56-12.81,3.88-7.85,2.57-15.83,4.85-23.83,7.1-.63,.18-1.25,.4-1.91,.04,.05-.81,.8-1.33,1.36-1.91,5.72-6.37,12.2-12.27,17.55-18.9-.56-.28-1.09-.24-1.6-.09-3.04,.88-6.08,1.75-9.1,2.65-9.46,2.82-19.07,5.29-28.63,7.88-.57,.2-1.39,.M 33-1.91,.1-.7-.45,1.48-2.09,1.78-2.63,4.26-4.71,8.52-9.42,12.76-14.15,.61-.68,1.42-1.29,1.55-2.2-.78-.32-1.55,0-2.31,.18-11.2,3.09-22.59,5.7-33.9,8.5-2.3,.57-4.6,1.22-7.02,1.43-.2,.02-.45-.15-.63-.27,0-.97,1.21-1.69,1.73-2.47,4.1-4.81,8.44-9.42,12.37-14.36,.2-1.29-3-.06-3.73-.03-14.45,2.97-28.85,6.51-43.43,8.67-1.12-.1,.51-1.67,.75-2.14,3.29-4.07,6.61-8.12,9.9-12.19,1.78-2.11,1.78-2.79-1.19-2.26-12.44,2.39-25.04,4.15-37.6,6.06-3.57,.54-7.17,.93-10.76,1.38-.25,.03-.72-.05-.74-.12-.22-.8,.4-1.41,.85-2.01,3.25-4.47,6.M 69-8.81,9.8-13.37,.16-.24-.21-.71-.56-.68-5.9,.35-11.73,1.31-17.6,1.93-13.24,1.27-26.49,2.51-39.77,3.36l.06,.11c2.63-4.5,5.53-8.83,8.38-13.21,2.08-3.14,1.69-3.19-2.22-3.03-20.4,.87-40.81,1.6-61.24,1.27l.09,.1c2.32-5.29,5.41-10.25,7.79-15.52,.2-.4-.19-.92-.72-.95-2.01-.11-4.01-.28-6.02-.29-22.53-.46-45.03-2.07-67.48-4.03l.14,.11c2.14-5.86,4.22-11.74,6.44-17.58l-.11,.09c25.19,3.46,50.75,4.12,76.13,5.85l-.15-.09c-1.9,4.75-4.43,9.24-6.62,13.86-.29,.65-.91,1.68,.16,1.94,18.02,.81,36.11,.21,54.14-.29,3.23-.1,6.46-.23,9.6M 9-.34,.71-.02,1.16,.58,.86,1.13-2.46,4.2-5.06,8.33-7.59,12.49-.52,.8-1.08,1.9,.57,1.86,13.42-.78,26.85-1.79,40.2-3.24,5.34-.53,10.67-1.33,16.03-1.56,.35,0,.79,.43,.65,.65-3.02,4.86-6.62,9.35-9.71,14.16-.17,.26,.18,.7,.54,.66,2.27-.24,4.55-.42,6.79-.75,14.85-2,29.6-4.63,44.39-6.94,.35-.04,.76,.42,.59,.66-3.19,4.67-6.86,9-10.25,13.53-.41,.53-.92,1.04-.92,1.79,7.26-.63,14.43-2.7,21.62-3.97,8.07-1.69,16.18-3.3,24.13-5.34,.59-.07,1.4-.36,1.94-.09,.1,.16,.25,.4,.17,.53-.43,.67-.9,1.32-1.41,1.96-3.61,4.54-7.43,8.94-10.92,M 13.58-.06,.08-.09,.27-.03,.31,.73,.62,1.74,.04,2.57-.05,12.66-2.98,25.22-6.2,37.68-9.67,1.43-.22,2.9-1.18,4.31-.58-4.22,5.45-8.91,10.5-13.32,15.79-.45,.53-.84,1.08-1.24,1.64-.05,.07,0,.22,.06,.29,.75,.34,1.87-.2,2.68-.3,13.02-3.22,25.81-7.97,38.65-11.08,.09,.16,.23,.41,.14,.52-.55,.74-1.13,1.46-1.75,2.16-4.35,4.93-8.71,9.85-13.06,14.78-.54,.61-1,1.27-1.47,1.91-.04,.06,0,.2,.05,.25,.63,.35,1.61-.13,2.28-.23,12.24-3.68,24.43-8.35,36.67-11.62,.29,.12,.2,.51-.35,1.12-5.98,6.96-12.51,13.47-18.56,20.36-.07,1.12,1.45,.3,2M .06,.2,11.82-3.89,23.84-7.26,35.29-11.96l-.12,.07c.34,.37,.53,.77,.18,1.18-.76,.89-1.53,1.77-2.33,2.63-6.31,7.15-13.68,13.84-19.43,21.26,.07,.08,.25,.19,.33,.17,.89-.24,1.78-.48,2.64-.77,9.65-3.28,19.29-6.57,28.93-9.85,1.09-.23,2.23-1.08,3.34-.65,.09,.52-.76,1.19-1.05,1.66-7.85,8.81-15.99,17.7-24.73,25.86,.3,0,.33,.04,.11,.12l-.03-.22c1.44,.79,3.09-.36,4.54-.67,8.33-2.76,16.65-5.54,24.97-8.31,.62-.21,1.2-.5,1.9-.17-7.52,9.73-16.62,18.51-25.08,27.66-.9,.93-1.73,1.9-2.58,2.87-.05,.06,0,.21,.07,.29,.07,.08,.23,.18,.31M ,.17,.78-.17,1.56-.33,2.31-.56,7.03-2.16,14.06-4.34,21.09-6.5,1.38-.42,2.77-.83,4.17-1.21,.15-.04,.41,.14,.58,.26,.05,.04,0,.23-.06,.3-10.07,11.44-20.92,22.19-31.46,33.21-1.87,2.01-1.86,2.37,.99,1.71,7.29-1.9,14.58-3.82,21.87-5.73,1.34-.21,2.57-1.03,3.93-.57-7.36,8.35-15.49,16.02-23.29,23.98-5.46,5.71-11.72,10.95-16.8,16.89-.01,.63,1.63,.15,2.11,.09,8.22-1.68,16.46-3.28,24.73-4.75,1.07,.32,.42,.82-.13,1.42-2.86,2.86-5.7,5.73-8.59,8.57-9.11,8.96-18.39,17.76-27.68,26.55-3.57,3.37-7.21,6.69-10.81,10.03-.25,.33-.83,.67M -.63,1.11,.52,.42,1.58,.11,2.25,.16,7.47-.45,15-1.72,22.46-1.67,.83,.58-.81,1.53-1.16,2.07-17.91,17.01-35.86,33.97-54.34,50.41-2.48,2.24-2.01,2.08-5.87,2.09-6.74,.01-13.47,.02-20.21,.02-2.4-.1-4.33,.1-1.28-2.38,16.8-14.2,33.43-28.68,49.65-43.37,2.15-1.93,4.15-3.96,6.2-5.95,.21-.33-.3-.52-.54-.66-8.51,.91-17.07,1.93-25.6,2.78-.22,.02-.59-.07-.68-.2-.19-.79,.95-1.27,1.4-1.82,8.86-7.97,17.79-15.88,26.57-23.91,6.29-5.76,12.38-11.66,18.54-17.5,.46-.58,1.41-1.12,.99-1.92,0,.23,.08,.27,.28,.14l-.26-.05c-9.22,1.37-18.33,3.M 41-27.51,5.03-.88-.17-.68-.54-.11-1.1,13.42-12.44,27.78-24.76,39.62-38.08-.07-.08-.24-.18-.33-.16-.91,.17-1.83,.34-2.73,.56-8.88,2.13-17.71,4.48-26.61,6.49-.18,.04-.44-.12-.64-.22,0-.6,1.11-1.32,1.51-1.83,11.31-10.7,22.99-20.99,33.63-32.35-1.62-.39-2.8,.4-4.31,.74-8.86,2.54-17.72,5.07-26.59,7.6-1.1,.28-2.38,.81-3.43,.12l.04,.03c10.14-8.99,19.5-18.92,29.36-28.24,.38-.46,1.23-.96,1.07-1.59-.11-.13-.49-.22-.69-.16-1.02,.27-2.02,.58-3.02,.88-7.02,2.16-14.03,4.33-21.06,6.47-3.41,1.21-7.22,1.72-10.44,3.32h.05Z"/><path clM ass="cls-2" d="M376.96,212.56c-.59,.32-1.22,.43-1.91,.24-3.81-1.08-7.62-2.14-11.42-3.23-2.81-.68-5.53-1.9-8.39-2.25-.22,0-.57,.16-.63,.31-3.76,20.55-5.39,41.55-7.33,62.36-.06,2.49-1.66,1.24-3.14,.79-5.27-2.16-10.54-4.34-15.81-6.5-.59-.23-1.68-.78-2.04-.01-1.63,18.12-1.7,36.38-2.24,54.57,.04,1.96-1.48,1.06-2.57,.51-4.35-2.35-8.7-4.72-13.04-7.08-1.1-.32-4.24-3.26-4.77-1.41-.21,16.36,.99,32.75,1.46,49.06-.97,.38-1.69-.33-2.48-.75-4.69-3.07-9.36-6.16-14.04-9.24-1.15-.57-2.24-1.94-3.56-1.9-.19,.06-.44,.3-.43,.45,.25,4.0M 9,.48,8.17,.82,12.26,.77,9.13,1.75,18.26,2.64,27.38-.09,.94,.94,5-.21,4.93-.36-.1-.76-.18-1.03-.38-6-4.28-11.73-8.88-17.56-13.38-.48-.33-.91-1.01-1.64-.64-.62,.31-.3,.97-.28,1.48,.03,.65,.1,1.29,.19,1.93,1.43,12.55,3.63,25.04,5.16,37.56-1.12,.12-1.8-.79-2.63-1.36-5.58-4.68-11.14-9.37-16.72-14.05-.7-.42-2.6-2.8-2.99-1.15,1.64,12.44,4.59,24.77,6.22,37.19-2.11-.55-3.3-2.49-4.97-3.76-5.49-5.04-10.96-10.08-16.45-15.12-.78-.58-1.35-1.58-2.45-1.46,1.44,10.54,4.19,21.04,6.07,31.57,.19,.96,.34,1.92,.46,2.88,.02,.13-.28,.3-.M 47,.41-.94-.28-1.91-1.63-2.73-2.27-6.71-6.61-13.41-13.22-20.11-19.83-.88-.7-1.44-1.84-2.69-1.85,.85,7.37,3.03,14.65,4.38,21.98,.61,2.87,1.25,5.73,1.86,8.59,.11,.52,.24,1.06-.09,1.56-.03,.05-.29,.07-.38,.03-1.95-1.11-3.27-3.11-4.91-4.63-6.84-7.21-13.68-14.42-20.52-21.63-.79-.64-1.37-1.91-2.48-1.96-.13,.01-.33,.31-.3,.46,.22,1.28,.47,2.56,.74,3.83,1.23,5.73,2.47,11.46,3.7,17.19,.55,2.55,1.1,5.09,1.62,7.64,.06,.28-.11,.6-.21,.89-.55,.19-1.34-.8-1.74-1.13-9.82-10.66-19.46-21.48-29.37-32.06-.12-.12-.48-.1-.74-.12-.03,0-M .13,.19-.12,.28,1.36,9.1,3.48,18.08,5.22,27.11-.3,1.4-1.77-.61-2.18-1.04-11.39-12.38-21.85-25.95-33.44-37.95-1.08-.23-.21,2.39-.31,2.95,1.04,7.47,3.02,15.02,3.51,22.46-1.46-.35-2.11-1.82-3.09-2.82-10.26-12.26-20.52-24.53-30.79-36.79-1.95-2.32-3.91-4.64-5.9-6.94-.1-.12-.48-.1-.73-.11-.45,.42-.18,1.27-.17,1.83,.68,6.22,1.37,12.44,2.04,18.67,.07,.64,.03,1.28,.02,1.93-.09,.36-.77,.17-.92,.07-14.72-17.71-28.96-35.82-43.51-53.67-.76-.96-1.73-1.94-1.56-3.24-.02-6.25-.05-12.5-.06-18.74,0-.3,.16-.61,.29-.9,.02-.05,.32-.11,.M 37-.07,13.69,15.93,26.51,32.72,39.95,48.91,.89,.84,1.61,2.54,2.94,2.5-.15-5.27-1.03-10.5-1.46-15.76-.23-2.25-.46-4.51-.67-6.76,.27-1.08,1-.43,1.51,.1,11.32,13.51,22.64,27.02,33.98,40.53,.6,.55,2.9,3.82,3.2,2.29-1.06-8.42-2.96-16.94-3.56-25.32,1.02-.11,1.51,1,2.17,1.6,9.73,11.12,19.46,22.24,29.2,33.36,.48,.5,3.01,3.83,2.99,1.58-1.57-8.74-3.24-17.46-4.72-26.21-.07-.41,.07-.84,.13-1.25,0-.02,.3-.06,.38,0,9.92,9.99,19.11,20.86,28.81,31.13,.3,.32,.51,.76,1.13,.81,.09,0,.28-.1,.28-.16-.18-3.99-1.36-7.87-1.99-11.81-1.15-6M .07-2.29-12.14-3.43-18.2-.24-1.15,.95-.8,1.33-.31,3.2,3.33,6.41,6.66,9.62,9.98,4.78,4.94,9.58,9.88,14.38,14.8,.58,.59,1.23,1.13,1.87,1.68,.12,.08,.58-.02,.63-.18-1.01-9.08-3.56-18.05-4.78-27.15-.31-1.81-.59-3.63-.84-5.45,.37-1.46,1.7,.35,2.36,.82,6.43,6.23,12.85,12.47,19.28,18.7,.85,.83,1.78,1.61,2.71,2.38,.11,.09,.49-.01,.87-.03-.91-8.79-3-17.47-4.18-26.24-.42-3.2-1.25-6.38-1.34-9.61,.44-.82,2.11,.99,2.64,1.33,5.49,4.89,10.95,9.8,16.43,14.7,2.8,2.21,5.28,5.88,4.09-.63-1.12-7.59-2.28-15.18-3.2-22.79-.34-4.38-1.59-8M .8-1.39-13.16,.7-.63,1.83,.69,2.46,1.05,4.85,3.9,9.67,7.81,14.52,11.7,1.33,1.07,2.71,2.09,4.1,3.11,.13,.1,.49,.03,.73-.02,.08-.01,.18-.18,.17-.28-.22-2.47-.43-4.93-.68-7.4-.96-8.9-1.86-17.81-2.61-26.73-.24-2.79-.41-5.59-.62-8.39-.03-.44,.21-.76,.49-.79,.45-.05,.75,.15,1.04,.35,3.85,2.69,7.69,5.41,11.56,8.09,2.34,1.62,4.72,3.21,7.1,4.79,.16,.11,.53,.13,.74,.06,.76-.35,.39-1.39,.46-2.06-.29-5.06-.79-10.1-.85-15.17-.38-9.58-.95-19.16-.99-28.75,.13-.88-.28-2.49,1.04-2.35,5.78,3.08,11.33,6.59,17.03,9.83,.86,.23,2.3,1.78M ,2.98,.68,.17-18.2,.43-36.4,1.1-54.59l-.14,.05c6.28,2.66,12.5,5.46,18.76,8.17,1.13,.35,3.11,1.59,3.06-.53,1.41-20.5,3.06-41,5.82-61.38l-.13,.12c6.79,2.07,13.6,4.07,20.4,6.1,.63,.19,1.27,.36,2.08,.01,2.87-19.84,6.37-39.63,10.07-59.34,.7-3.72,1.53-7.43,2.31-11.14,.2-.95,.71-1.2,2.01-1.04,5.96,.81,11.9,1.78,17.84,2.66,1.32,.2,2.63,.46,3.93,.73,.79,.33,.4,1.43,.35,2.09-3.26,14.48-6.46,28.99-9.21,43.56-1.82,9.13-3.38,18.29-4.97,27.45-.08,.43-.11,.85,.18,1.25h0Z"/><path class="cls-2" d="M1063.89,1226.8c5.16,.76,10.15,2.8M 8,15.25,4.12,1.61,.13,7.1,3.06,7.29,.51,2.55-17.85,4.63-35.76,6.39-53.71,.46-2.96-.04-6.11,.96-8.96,.66-.62,1.77,.13,2.5,.31,5.28,2.16,10.54,4.33,15.82,6.49,1.08,.44,2.25,.95,2.43-.71,1.31-18.26,1.25-36.6,2.11-54.87,1.07-.4,1.97,.4,2.92,.8,4.79,2.61,9.57,5.23,14.35,7.84,.75,.42,2.41,1.67,2.89,.52,.37-16.35-.91-32.78-1.37-49.07,.67-.64,1.68,.31,2.33,.6,5.63,3.69,11.22,7.41,16.85,11.1,.35,.22,1.04,.29,1.12,.12-.02-14.7-2.56-29.65-3.59-44.41,.42-1.61,2.45,.59,3.19,.97,4.97,3.8,9.92,7.61,14.88,11.41,.81,.46,1.54,1.42,2M .48,1.5,.31-.02,.48-.16,.47-.43-.05-3.13-.54-6.23-.95-9.33-1.22-10.39-3.07-20.78-4.33-31.12,.99-.32,1.73,.71,2.49,1.19,5.67,4.76,11.33,9.53,17,14.29,.65,.54,1.35,1.05,2.04,1.55,.06,.05,.26,0,.38-.04,.1-.03,.25-.11,.25-.17,0-.64,.08-1.29-.03-1.92-.93-5.55-1.89-11.09-2.85-16.64-.96-6.29-2.46-12.59-3.21-18.85,1.25-.11,2.08,1.23,3.03,1.9,5.85,5.36,11.68,10.72,17.53,16.08,.99,.69,1.92,2.27,3.19,2.22,.3-.37,.11-1.07,.09-1.54-2.04-10.21-4.09-20.41-6.13-30.61-.02-.76-.64-1.92,.22-2.35,.07-.05,.3-.03,.36,.03,8.43,7.58,16.02M ,16.05,24.43,23.66,.11,.06,.59-.08,.63-.23,0-.64,.06-1.29-.07-1.92-2.01-9.77-4.12-19.54-6.23-29.29-.04-.2,.03-.42,.08-.63,.08-.18,.49-.22,.63-.13,5.32,4.89,10.02,10.42,15.09,15.57,3.91,4.12,7.82,8.24,11.75,12.34,.22,.23,.63,.36,.96,.52,.34,.02,.39-.49,.36-.74-2.05-9.66-4.18-19.3-6.19-28.97,.23-1.47,1.79,.5,2.22,.94,9.13,10.01,18.25,20.02,27.39,30.03,1.43,1.42,3.06,3.8,2.51-.16-1.47-7.88-3.03-15.75-4.67-23.61-.1-.52-.04-1.06-.03-1.59,0-.07,.13-.16,.23-.19,.12-.03,.33-.05,.39,0,.67,.67,1.36,1.33,1.97,2.04,9.39,10.79,M 18.76,21.58,28.14,32.37,1.38,1.59,2.76,3.19,4.18,4.76,.19,.21,.67,.26,1.21,.46-1.02-7.64-2.43-14.98-3.68-22.55-.14-.85-.13-1.71-.18-2.57,0-.1,.1-.28,.14-.28,.24,0,.59,0,.71,.11,.75,.76,1.47,1.54,2.14,2.34,11.45,13.7,22.9,27.41,34.35,41.11,.75,.89,1.53,1.77,2.34,2.63,.1,.11,.46,.09,.7,.08,.06,0,.17-.17,.17-.26-.32-6.89-1.18-13.74-1.83-20.61-.11-3,1.45-.75,2.41,.31,6.99,8.57,13.99,17.14,20.93,25.73,6.72,8.32,13.38,16.68,20.07,25.02,.75,1.09,2.01,2.05,2.06,3.44-.07,6.66,.32,13.39-.16,20.02-.09,.1-.54,.19-.67,.08-.71-.M 78-1.43-1.56-2.09-2.37-7.38-9.14-14.73-18.29-22.12-27.43-5.75-6.87-11.1-14.13-17.17-20.73-.12-.06-.58,.08-.62,.23-.03,.64-.1,1.29-.04,1.92,.68,6.76,1.41,13.51,1.92,20.28,0,.09-.1,.26-.17,.26-.7,.15-1.09-.32-1.49-.79-11.5-13.82-23.08-27.56-34.63-41.35-.52-.62-1.13-1.19-1.72-1.78-.13-.1-.57-.04-.65,.12,.72,8.31,2.67,16.64,3.45,25-.05,.56-.68,.54-1,.22-10.44-11.75-20.71-23.65-31.09-35.45-.59-.62-1.13-1.75-2.2-1.72,.2,5.34,1.93,11.06,2.72,16.51,.64,3.73,1.46,7.43,1.76,11.2,.03,.27-.17,.41-.48,.39-9.47-9.07-18-19.65-27.M 14-29.23-.91-.76-1.75-2.36-2.99-2.39-.32,.47-.03,1.32-.01,1.89,1.77,9.47,3.67,18.93,5.35,28.42,.01,.58-.73,.54-1.03,.26-8.07-8.2-15.99-16.53-24.01-24.78-4.75-5.23-2.48,.34-2.11,3.51,1.49,7.99,2.99,15.97,4.47,23.96,.45,3,1.26,5.75-1.91,2.49-6.68-6.49-13.35-12.98-20.04-19.46-.68-.66-1.45-1.27-2.19-1.89-.14-.08-.58,.03-.66,.15,0,4.41,1.4,8.74,1.96,13.12,1.12,6.72,2.23,13.45,3.28,20.18,.15,.95,.48,1.91,.11,2.87-1.26-.02-2.03-1.28-2.99-1.97-5.57-4.98-11.13-9.97-16.71-14.94-.9-.8-1.87-1.54-2.82-2.3-.06-.05-.26-.02-.37,0-M .11,.03-.27,.1-.28,.16-.06,.42-.16,.85-.1,1.27,.34,2.68,.72,5.35,1.1,8.03,1.34,9.84,2.98,19.66,3.81,29.56-.04,.46-.63,.86-1.05,.47-.87-.67-1.77-1.32-2.62-2.01-5.85-4.61-11.46-9.51-17.5-13.88-.29-.06-.93-.03-.85,.4,.76,10.86,2.24,21.67,3.05,32.53,.29,3.33,.54,6.66,.79,10-.37,1.41-1.95-.09-2.63-.5-5.78-4.05-11.54-8.14-17.41-12.06-2.42-1.51-1.06,3.73-1.22,4.86,.82,14.29,1.64,28.63,1.67,42.94-.51,1.14-1.81-.11-2.54-.42-5.11-2.99-10.21-5.99-15.33-8.97-1.06-.59-1.92-1.35-3.24-.94-.21,18.23-.12,36.44-1.09,54.65l.14-.04c-6M .28-2.65-12.49-5.45-18.74-8.17-1.79-.73-3.14-1.45-3.06,1.24-1.45,20.22-2.77,40.64-5.85,60.67l.11-.12c-6.81-2.02-13.6-4.07-20.4-6.1-1.43-.45-1.98-.03-2.15,1.43-1.8,14.03-4.47,27.96-6.71,41.93-1.56,9.58-4.1,19.14-5.44,28.69l.13-.1c-7.97-1.35-16.78-2.68-24.44-3.65,.22-4.7,1.97-9.3,2.78-13.96,1.19-5.39,2.4-10.78,3.5-16.19,2.92-14.95,5.86-29.89,8.28-44.93l-.14,.13Z"/><path class="cls-2" d="M1191.44,947.12c.49-.58,.5-1.22,.36-1.86-.33-1.48-.67-2.97-1.06-4.44-2.25-8.42-4.52-16.84-6.78-25.25-.09-.42-.28-1.51,.46-1.16,8.23,M 7.23,15.71,15.33,23.67,22.88,1.25,1.09,2.03,2.47,3.68,3.05-1.83-9.69-5.14-19.21-7.47-28.84-.14-.52-.18-1.05-.24-1.58,0-.08,.07-.22,.15-.24,.81,.05,1.66,1.18,2.3,1.67,5.88,6.03,11.76,12.06,17.61,18.11,3.38,3.49,6.71,7.01,10.08,10.51,.1,.1,.45,.07,.68,.05,.28-.19,.07-.62,.01-.91-1.96-8.48-4.28-16.88-6.51-25.3-.21-.95-.54-1.94,0-2.83l-.05,.09c11.02,10.93,21.27,22.57,31.72,33.94,.91,.77,1.68,2.36,2.93,2.4-.04,.29,.03,.34,.22,.14l-.31-.07c.4-.86,.1-1.71-.09-2.55-1.69-7.19-3.42-14.38-5.13-21.57-.17-.73-.26-1.48-.37-2.22-M .01-.1,.08-.29,.12-.29,.25,0,.6-.02,.72,.1,.93,.92,1.86,1.84,2.71,2.8,8.67,9.74,17.33,19.48,25.97,29.23,2.88,3.25,5.69,6.54,8.55,9.8,.47,.4,.98,1.28,1.63,1.31,.24-.2,.48-.44,.34-.75-1.43-7.34-2.87-14.67-4.28-22.01-.77-4.35,1.5-1.14,2.89,.33,13.21,15.21,26.25,30.52,39.03,45.97,.74,.9,1.5,1.79,2.26,2.67,.4,.47,.8,.62,.95,.38,.11-.18,.29-.37,.27-.55-.46-5.81-1.26-11.58-1.96-17.37-.17-1.39-.38-2.78-.53-4.17-.02-.15,.19-.42,.34-.44,.23-.03,.59,.04,.72,.18,.72,.78,1.4,1.58,2.07,2.39,4.92,5.92,9.88,11.82,14.73,17.77,10.73M ,13.17,21.44,26.35,32.12,39.55,1.38,1.32,1.66,2.84,1.64,4.52-.18,6.02,.19,12.07-.16,18.08-.03,.14-.33,.27-.54,.36-.05,.02-.22-.08-.31-.14-15.99-18.66-30.47-39.54-47.3-57.22-.32,.22-.2,.84-.21,1.19,.74,7.06,1.88,14.13,2.27,21.21-.34,.03-.71,.14-.8,.06-.6-.57-1.19-1.16-1.71-1.78-6.13-7.34-12.21-14.71-18.37-22.04-6.38-7.6-12.83-15.16-19.26-22.73-.68-.8-1.38-1.59-2.11-2.36-.11-.12-.47-.11-.71-.12,.64,7.93,2.81,16.22,4.03,24.25,.05,.29-.1,.6-.19,.89-.27,.1-.82-.16-1.01-.37-11.2-12.79-22.38-25.59-33.58-38.38-.77-.88-1.6-M 1.73-2.44-2.57-.12-.12-.47-.09-.72-.14l-.03-.18,.13,.12c-.37,.97-.05,1.92,.16,2.86,1.78,8.15,3.67,16.22,5.3,24.42-1.14,.22-1.6-.85-2.34-1.47-6.47-7.11-12.9-14.25-19.4-21.35-3.49-3.81-7.08-7.55-10.64-11.32-.39-.41-.71-.93-1.52-.88l.09-.06c.99,7.93,3.68,15.64,5.33,23.49,.41,1.69,.75,3.39,1.11,5.09,.1,.45-.11,.81-.39,.75-9.36-8.41-17.72-18.48-26.75-27.44-.79-.62-1.41-1.88-2.54-1.78-.05,0-.16,.19-.14,.29,2.17,10.09,4.73,20.09,7.07,30.14,.13,2.17-2.65-1.09-3.15-1.57-7.48-7.35-14.83-14.83-22.39-22.1-.43-.6-1.61-.68-1.28,M .35,2.37,10.84,5.39,21.92,7.25,32.7-.91,.17-1.44-.74-2.08-1.21-4.02-3.77-8.02-7.56-12.05-11.32-2.8-2.62-5.63-5.22-8.46-7.83-.44-.39-.94-.91-1.59-.87-.12,.01-.3,.32-.27,.47,.27,1.38,.59,2.76,.88,4.14,2.08,9.87,4.29,19.72,6.16,29.63,.06,.62,.41,1.38-.34,1.72-.06,.04-.28,.02-.34-.03-.75-.62-1.5-1.24-2.23-1.87-6.29-5.29-12.22-11.05-18.74-16.05-.74-.16-.64,.69-.55,1.22,2.28,12.45,4.79,24.88,6.52,37.41-1.19,.32-2.23-1.09-3.2-1.67-4.78-3.8-9.53-7.61-14.31-11.42-.86-.68-1.76-1.33-2.67-1.97-.15-.1-.49-.06-.74-.03-.08,0-.2,.M 17-.19,.26,.74,7.52,2.34,14.94,3.16,22.46,.67,5.25,1.34,10.5,1.99,15.75,.12,.96,.09,1.93,.12,2.9,.03,.41-.68,.39-.87,.34-5.6-3.65-10.93-7.68-16.43-11.48-.83-.45-1.63-1.37-2.66-1.11,.46,8.07,1.7,16.31,2.11,24.47,.55,6.98,1.31,13.96,1.49,20.97,0,.17-.18,.41-.37,.49-1.22,.17-2.25-1.08-3.31-1.56-4.36-2.71-8.72-5.43-13.09-8.13-1.01-.53-2.86-2.01-2.88,.17,.44,16.47,1.27,32.95,.91,49.43-.01,.28-.58,.58-.86,.45-5.59-2.52-10.97-5.47-16.47-8.17-3.22-1.88-2.47,.74-2.61,2.92-.47,17.87-1.29,35.78-2.88,53.58-.44,.82-1.74,.27-2.4M 4,.03-3.87-1.52-7.73-3.06-11.6-4.57-2.1-.63-4.09-2.01-6.31-1.92-2.91,22.13-5.02,44.49-9.27,66.46l.14-.13c-7.2-2.18-14.57-4.29-21.94-5.82l.06,.09c4.81-21.94,7.7-44.32,10.76-66.58,.24-2.43,2.95-.66,4.31-.3,4.29,1.55,8.58,3.11,12.87,4.66,.81,.23,2.24,1.13,2.83,.23,1.18-6.69,1.37-13.51,2.08-20.26,.67-12.04,1.77-24.08,2.04-36.14,.1-.77-.16-2.23,1.06-2.04,5.87,2.27,11.38,5.37,17.19,7.78,1.14,.28,1.11-.81,1.18-1.58,.05-8.07,.45-16.15,.2-24.23-.26-8.29-.3-16.58-.42-24.87-.09-2.16,1.85-.76,2.89-.25,5.1,2.78,10.01,5.92,15.22M ,8.49,.56,.12,.9-.75,.83-1.21-.22-3.76-.47-7.53-.71-11.29-.48-6.12-.76-12.26-1.27-18.38-.25-5.25-1.5-10.51-1.35-15.75,1.21-.27,2.11,.75,3.11,1.26,4.26,2.81,8.51,5.63,12.77,8.44,.78,.36,2.9,2.45,3.25,.88-.62-6.98-1.51-13.95-2.48-20.89-.87-6.95-2.34-13.88-2.89-20.84,0-.09,.08-.25,.15-.25,.92-.23,1.63,.55,2.35,.98,5.46,4,10.89,8,16.27,12.1,.8,.35,1.36,.19,1.15-.92-2.06-12.84-4.87-25.6-6.91-38.41,1.54,.24,2.36,1.31,3.53,2.15,5.21,4.21,10.42,8.42,15.64,12.62,.54,.44,.98,1.07,1.95,1,.23-1.39-.44-3-.61-4.44-2.11-10.62-4.9M 7-21.14-6.88-31.78,.37-.88,1.89,.76,2.37,1.03,5.67,4.9,11.32,9.82,16.99,14.72,1.07,.71,1.9,2.16,3.25,2.18v.14l-.1-.08c.34-.86,.06-1.72-.14-2.55-2.57-10.44-5.21-20.87-7.77-31.32,.03-.66,1.16-.22,1.4,.11,7.89,7.2,15.93,14.26,23.34,21.83-.11-.24-.07-.29,.14-.13l-.28,.08Z"/><path class="cls-2" d="M171.16,461.61c10.66,11.81,21.24,23.67,32.27,35.16,.51,.38,1.44,1.01,1.21-.24-1.88-7.82-3.77-15.64-5.65-23.46-.38-1.58-.72-3.18-1.04-4.77-.03-.14,.19-.44,.31-.44,.79,0,1.21,.76,1.71,1.24,9.1,9.62,18.46,19.02,27.4,28.78,.01-.25M ,.07-.28,.17-.1l-.28,.03c1.05-1.03,.12-2.51-.01-3.74-1.99-9.4-4.99-18.84-6.47-28.22,.59,0,.97,.29,1.31,.63,2.27,2.28,4.52,4.56,6.81,6.82,5.68,5.61,11.39,11.2,17.08,16.81,.41,.4,.79,.84,1.53,.88-1.66-11.04-5.5-22.18-7.25-33.37,.35-1.04,2.77,1.77,3.34,2.12,6.24,5.8,12.46,11.61,18.69,17.42,.64,.46,1.26,1.34,2.04,1.47,.25-.17,.57-.38,.43-.72-1.16-5.3-2.35-10.6-3.48-15.91-1.22-5.73-2.39-11.47-3.55-17.21-.58-3.85,1.1-1.65,2.81-.37,5.66,4.91,11.31,9.84,16.97,14.75,.64,.42,1.38,1.32,2.14,1.36,.16-.13,.38-.31,.36-.45-.53-2.M 98-1.11-5.96-1.65-8.95-1.66-9.83-3.88-19.62-5.02-29.51,1.6,.14,2.51,1.46,3.74,2.31,4.87,3.87,9.74,7.75,14.62,11.62,.8,.5,1.53,1.47,2.58,1.31,.06,0,.16-.18,.15-.28-.9-8.05-2.54-16.01-3.45-24.06-.6-5.36-1.51-10.7-1.9-16.08,0-.48-.41-1.13,.48-1.37,.58-.16,.96,.29,1.33,.55,4.54,3.21,9.06,6.45,13.6,9.66,1.54,.91,2.75,2.37,4.64,2.51-.83-10.12-1.9-20.21-2.73-30.34-.37-4.62-.65-9.25-.96-13.88,0-.57-.24-1.43,.32-1.8,.99-.29,1.85,.73,2.69,1.11,4.37,2.71,8.72,5.43,13.09,8.13,.82,.32,3.03,2.34,3.53,1.12,.13-5.69-.27-11.42-.45-M 17.11-.44-11.09-.63-22.19-.41-33.28,.01-.27,.62-.5,.94-.35,5.66,2.67,11.2,5.58,16.82,8.34,2.47,1.26,2.05-.33,2.18-2.18,.16-10.34,.77-20.67,1.33-31.01,.54-7.84,.69-15.74,1.73-23.54,.75-.93,2.28,.16,3.21,.38,4.35,1.71,8.69,3.44,13.04,5.15,1.08,.42,2.14,.92,3.36,1.02,.19,.02,.54-.15,.6-.29,.16-.4,.25-.83,.3-1.26,2.58-21.86,4.79-43.93,9.24-65.47-.02,.32-.03,.69,.38,.82,1.23,.4,2.47,.77,3.73,1.11,5.17,1.39,10.35,2.75,15.52,4.14,.53,.14,1.03,.17,1.53-.04,0,.01-.07-.09-.07-.09-.75,7.59-2.86,15.1-3.82,22.7-.56,3.63-1.23,7.M 25-1.84,10.88-1.86,11.08-3.15,22.25-4.76,33.37-.23,2.58-3.25,.42-4.67,.16-4.79-1.71-9.58-3.44-14.37-5.16-1.6-.34-1.28,2.85-1.56,3.88-1.49,18.3-3.07,36.56-3.7,54.92-1.46,.21-2.48-.57-3.73-1.11-4.31-2.01-8.61-4.02-12.91-6.02-.64-.29-1.95-1.04-2.41-.26-.77,16.67-.05,33.39,.06,50.07,.13,2.56-1.45,1.28-2.84,.66-4.52-2.54-9.01-5.11-13.52-7.66-1.31-.71-2.66-1.57-2.55,.74,.72,14.96,2.19,29.88,3.24,44.81-.57,.75-1.65-.29-2.26-.55-4.28-2.8-8.54-5.61-12.8-8.41-1.32-.74-2.34-2.02-3.96-2.02,.93,13.64,3.5,27.25,5.23,40.85,.01,.6M 1,.35,1.86-.57,1.86-5.85-3.61-11.1-8.17-16.74-12.13-.71-.43-2.7-2.18-2.55-.28,1.37,8.11,2.72,16.23,4.31,24.3,.87,4.58,1.75,9.15,2.62,13.72-.33,1.49-3.12-1.43-3.79-1.8-5.54-4.4-10.95-8.94-16.55-13.26-.2-.09-.9-.18-.91,.23,1.7,9.39,3.97,18.67,6.01,28,.51,2.54,1.39,5.04,1.63,7.63-.02,.21-.5,.61-.77,.42-.6-.43-1.21-.86-1.76-1.33-5.49-4.74-10.97-9.5-16.46-14.24-.91-.79-1.84-1.57-2.8-2.33-.13-.11-.48-.04-.88-.05,1.9,10.87,5.33,21.53,7.78,32.31,.98,3.38-1.76,.64-2.81-.27-6.44-5.95-12.85-11.9-19.29-17.85-.58-.36-1.99-2.28-M 2.54-1.47,1.55,9.25,4.85,18.3,6.95,27.49,.15,.8,1.86,4.59,.31,4.3-9.13-8.04-17.41-17.01-26.27-25.35-.14-.09-.88-.14-.84,.26,2.23,9.43,4.95,18.75,7.48,28.11,.06,.52,.45,1.54,.07,1.87-.24-.01-.57-.01-.7-.13-9.27-9.03-18.16-18.47-27.01-27.82-.89-.72-1.53-2.11-2.78-2.12-.3,.55,.13,1.84,.21,2.51,2.06,8.74,4.93,17.41,6.59,26.18-.73-.07-1.06-.41-1.39-.76-2.62-2.74-5.28-5.45-7.84-8.22-7.37-7.97-14.7-15.96-22.05-23.94-1.16-1-2.15-2.92-3.6-3.35-1.01,.07,.47,3.77,.49,4.58,1.59,7.39,3.96,14.81,5.13,22.2-.22,0-.56,.08-.65-.01-.M 71-.64-1.42-1.29-2.04-1.99-11.84-13.36-23.76-26.64-35.51-40.08-.42-.33-.85-1.09-1.46-.93-.43,.15-.22,1.1-.22,1.47,1.49,7.85,3.14,15.54,4.5,23.43-1.63-.18-2.18-1.68-3.23-2.69-8.83-10.31-17.69-20.6-26.49-30.92-4.47-5.25-8.83-10.56-13.26-15.84-.86-.78-1.4-2.19-2.7-2.21,.19,6.13,1.46,12.21,2.06,18.32,.59,4.84,.34,5.63-3.03,1.32-15.81-19.27-31.72-38.44-47.34-57.86-.85-1.04-1.23-2.09-1.22-3.33,.04-6.14,0-12.28-.01-18.42-.02-1.26,.95-.6,1.39-.2,14.57,18.15,29.33,36.13,43.99,54.2,1.14,1.14,1.84,2.94,3.52,3.33-.3-7.25-1.6-1M 4.64-2.2-21.94-.04-.41-.04-.87,.79-.93,12.95,15.46,25.77,31.02,39,46.34,.76,.88,1.57,1.74,2.4,2.59,.11,.11,.45,.09,.68,.08,.05,0,.15-.19,.13-.29-1-6.09-2.12-12.15-3.19-18.22-.11-1.88-2.64-9.9,1.21-5.06,8.31,9.55,16.61,19.1,24.94,28.64,3.16,3.62,6.39,7.2,9.62,10.79,.21,.24,.62,.37,.95,.53,.33,0,.35-.5,.32-.75-1.77-7.95-3.6-15.88-5.26-23.85-.24-1.15-.68-2.33,.06-3.49l-.16-.05Z"/><path class="cls-2" d="M671.73,960.32h0s-.07,.06-.1,.09l.1-.09Z"/><path class="cls-2" d="M709.12,957.02c-.91,1.58-1.83,3.16-2.76,4.73-1.31,.M 72-2.31,2.16-3.91,2.08-.75-2.69-.48-5.57-1.02-8.31-.04-.27-.68-.46-.98-.29-5.38,3.19-10.58,6.65-15.94,9.91-2.02,1.25-4.14,2.4-6.23,3.58-.42,.23-.86,.49-1.49,.35-1.68-2.9-3.37-5.81-5.06-8.74,8.32-4.36,15.89-9.54,23.88-14.17,.63-.21,1.14,.4,1.42,.88,.94,1.55,1.86,3.11,2.78,4.66,.62,.8,1.03,2.71,2.37,2.07,1.54-.9,2.95-1.99,4.41-3,.81,2.09,1.65,4.17,2.53,6.25Z"/><path class="cls-2" d="M906.2,1224.03s.11-.02,.16-.03c-.02,.05-.04,.11-.06,.16l-.1-.13Z"/><path class="cls-2" d="M945.14,1096.22s-.1,.04-.15,.05c.01-.06,.03-.1M 2,.04-.18l.11,.13Z"/><path class="cls-2" d="M951.59,1293.34h-.17s.01-.05,.02-.07l.15,.07Z"/><path class="cls-2" d="M926.27,1016.9l-.09,.66c-5.28,3.75-10.91,7-16.81,9.69,.27-2.03-4.9,2.08-5.68,2.39-3.35,1.29-6.77,2.4-10.26,3.31,1.47-7.67,3.11-15.31,4.63-22.96,.59-3.41,1.03-6.84,1.52-10.26,.06-.42,.01-.85-.02-1.28-.01-.06-.16-.13-.27-.16-.71-.1-1.37,.62-1.97,.95-3.54,2.65-7.06,5.32-10.59,7.97-.6,.33-1.27,1.08-1.98,.94-.36-.22-.19-1.12-.17-1.51,1.4-7.23,2.72-14.48,3.67-21.76,.32-2.99,1.07-5.97,.91-8.98,0-.06-.16-.14-.M 27-.17-.63-.17-1.35,.72-1.87,1.04-3.14,2.66-6.26,5.35-9.39,8.01-.74,.5-1.49,1.6-2.48,1.43-.16-.06-.25-.36-.23-.54,.32-2.25,.66-4.49,.99-6.74,1.1-6.73,1.93-13.46,2.61-20.24,.03-.26,.01-.73-.17-.9-1.05-.16-1.68,.9-2.41,1.46-2.95,2.8-5.87,5.62-8.82,8.43-.82,.75-2.24,2.17-2.23,.06,.69-7.78,2.43-15.71,2.13-23.45-.6-.29-1.25,.31-1.58,.71-2.76,2.92-5.51,5.85-8.27,8.77-.65,.49-2.17,2.95-2.85,1.49,.33-6.46,.94-12.9,1.42-19.35,.03-.42-.1-.85-.19-1.27-.05-.14-.5-.28-.63-.22-3.67,3.49-6.81,7.48-10.29,11.17-.33,.24-1,1.18-1.43,M .79-.12-.29-.28-.59-.27-.89,.23-5.06,.5-10.12,.73-15.17,0-2.22,.03-3.54-2.1-1.25-2.91,3.37-5.79,6.75-8.7,10.12-.37,.42-.87,.78-1.33,1.15-.05,.04-.35-.02-.37-.07-.84-5.11,.51-10.51-.18-15.73-.09-.33-.7-.47-.91-.15-3.2,3.55-6.13,7.33-9.25,10.97-.64,.59-1.25,1.59-2.07,1.89-.21-.1-.52-.23-.54-.37-.39-4.49,.1-9.06-.4-13.55-.13-.31-.83-.22-.98-.13-3.53,3.93-6.85,7.99-10.31,11.98-.58,.54-1.05,1.47-1.98,1.34-.07,0-.19-.15-.19-.24-.42-3.95-.55-7.95-.93-11.9-1.02-.3-1.47,.6-2.11,1.17-3.08,3.4-6.12,6.83-9.22,10.22-1.51,1.65-3M .13,3.24-4.69,4.86-.53,.59-1.62,.39-1.49-.5-.32-3.31,.11-6.74-.7-9.97-.11-.19-.71-.47-.96-.24-.6,.58-1.2,1.16-1.78,1.75-4.33,4.4-8.66,8.8-13,13.2-.61,.39-1.26,1.66-2.04,1.32-.18-.12-.37-.32-.39-.5-.34-2.97-.43-5.98-.89-8.93,.56-1.21,1.12-2.41,1.67-3.62,4.26-4.31,8.29-8.86,12.45-13.25,.89-.73,1.48-2.12,2.72-2.2,.06-.01,.21,.12,.23,.2,.31,1.38,.64,2.75,.91,4.13,.35,1.8,.65,3.62,.99,5.42,.02,.08,.15,.15,.25,.21,.26,.14,.53,.13,.73-.07,.76-.75,1.56-1.48,2.24-2.28,3.44-3.99,6.84-8,10.25-12,.61-.71,1.23-1.42,1.89-2.09,.1M 7-.1,.84-.12,.98,.18,.81,2.58,.89,5.33,1.44,7.98,.24,.74,.24,2.95,1.45,2.47,3.58-3.81,6.55-8.16,9.88-12.18,.52-.45,1.33-2.05,2.1-1.46,.6,2.1,.85,4.24,1,6.39,.25,.91,0,6.61,1.25,5.97,3.81-3.87,6.74-8.56,10.22-12.73,.19-.24,.57-.39,.88-.55,.59-.16,.57,.94,.66,1.32,.32,4.3,.31,8.62,.85,12.9,.63,.55,1.29-.4,1.69-.82,3.11-3.91,6.09-7.9,9.27-11.74,.18-.22,.44-.31,.68-.16,.68,.46,.38,1.41,.51,2.1,.26,4.41,.64,8.81,.48,13.23-.01,.3,.18,.6,.32,.88,.03,.07,.31,.14,.36,.1,.38-.27,.82-.53,1.1-.87,3.11-3.77,6.14-7.59,9.23-11.38M ,.09-.1,.48-.07,.73-.06,.09,0,.24,.12,.25,.19,.09,1.07,.22,2.15,.22,3.22-.02,4.31-.1,8.61-.13,12.92-.06,4.6,1.45,1.91,3.23,.03,2.5-2.94,4.97-5.9,7.48-8.83,.19-.24,.59-.37,.92-.52,.07-.03,.33,.05,.35,.11,.1,.3,.21,.62,.21,.93,0,5.17,.25,10.34-.39,15.5-.2,1.6-.19,3.22-.23,4.84,0,.16,.18,.41,.36,.49,.17,.06,.56,.02,.69-.09,3.46-3.39,6.62-7.07,9.98-10.56,.46-.32,1.05-1.11,1.51-.76,.63,2.44-.09,5.15,0,7.67-.25,5.81-.65,11.6-1.15,17.39,1.19,.31,1.74-.71,2.56-1.32,2.84-2.73,5.67-5.48,8.51-8.21,.65-.66,2.46-2.22,2.34-.25-.M 92,8.37-1.07,16.78-2.15,25.13-.12,.74-.09,1.5-.11,2.25-.05,.41,.56,.49,.85,.4,3.58-2.72,6.86-5.79,10.31-8.65,.77-.5,1.43-1.55,2.46-1.35,.08,.01,.2,.15,.19,.23-.08,3.44-.45,6.88-.84,10.29-.57,7.42-1.71,14.78-2.69,22.17-.03,.41,.7,.35,.87,.29,4.52-3.02,8.81-6.33,13.26-9.46,.22-.1,.82-.16,.93,.21-.39,7.38-1.67,14.82-2.77,22.15-.76,5.12-2.15,10.17-2.31,15.36,.55,.72,1.67-.25,2.27-.48,3.74-2.3,7.45-4.63,11.18-6.93,.77-.4,1.51-1.09,2.45-.88,.04,.21,.14,.43,.11,.64Z"/><path class="cls-2" d="M926.83,1292.99c-.17,.74-.9,2.0M 3,.27,2.24,8.13-.28,16.19-1.69,24.32-1.89-10.74,31.3-22.94,62.14-35.81,92.62-.37,.13-.61,.29-.86,.3-8.77-.02-17.5,.21-26.28,0-.37-1.36,.61-2.52,1.04-3.77,4.96-11.26,10.06-22.49,14.87-33.79,4.55-10.69,8.97-21.42,13.28-32.18,2.58-6.46,5-12.95,7.53-19.42,.61-1.31-.3-1.55-1.44-1.42-7.35,.67-14.71,1.39-22.06,2.05-1.91,.04-.57-1.97-.25-2.9,2.38-5.83,4.79-11.65,7.13-17.49,7.47-18.65,14.37-37.41,20.9-56.3,.3-.93,.18-1.62-1.72-1.24-7.12,1.41-14.25,2.83-21.39,4.21,7.95-22.07,16.25-44.26,22.41-66.84-.36-.9-2.08,0-2.8,.07-5.95M ,1.57-11.74,3.96-17.76,5.11-.51-.63-.17-1.24,.03-1.86,5.38-16.29,10.34-32.74,14.93-49.25,.54-1.89,.98-3.8,1.41-5.7,.11-1.69-2.07-.56-2.91-.22-5.04,2.04-10.05,4.18-15.12,6.15-.79,.3-1.02-.2-1.07-.84,3.82-13.79,7.7-27.56,10.9-41.5,6.37-2.32,12.53-5.08,18.44-8.26-2.69,14.1-6.07,28.07-9.42,42.01-.06,.29,.46,.65,.78,.54,6.33-2.23,12.46-4.97,18.81-7.14-3.79,16.48-7.8,32.85-12.59,49.11-.89,3.04-1.73,6.08-2.58,9.13-.12,.42-.17,.85,.36,1.3,6.09-1.49,12.14-3.35,18.2-4.99,.7-.14,2.1-.74,2.3,.27-4.53,17.52-9.82,34.85-15.31,52.M 12-1.42,5.12-3.8,10.08-4.79,15.31,.37,.84,1.78,.31,2.49,.31,6.5-1.22,13.1-2.43,19.59-3.57,.23,.26,.51,.43,.51,.6-.02,.53-.06,1.07-.22,1.58-1.96,5.82-3.61,11.69-5.57,17.51-6.57,19.45-13.35,38.81-20.55,58.04Z"/><path class="cls-2" d="M589.21,1154.29c-.11-.59,.35-1.01,.73-1.45,3.14-3.62,6.3-7.23,9.44-10.86,2.09-2.5,4.32-4.89,6.21-7.53,.18-.24,.14-.42-.13-.52-12.94,3.6-25.52,9.24-38.66,12.68-1.12-.09,.19-1.29,.45-1.76,3.98-4.86,7.98-9.7,11.95-14.56,.51-.62,.92-1.3,1.36-1.96,.03-.05-.06-.18-.13-.23-.45-.28-1.02,.06-1.49M ,.15-2.24,.72-4.49,1.44-6.72,2.18-10.17,3.41-20.57,6.33-30.86,9.49-.73,.22-1.53,.32-2.3,.45-.07,.01-.27-.13-.27-.18,3.54-5.42,8.13-10.36,12-15.64,.36-.46,.64-.95,.29-1.49,0,.01,.14,.25,.14,.25l-.13-.16c-14.65,3.47-29.25,8.91-44.08,11.12-.07-.07-.13-.22-.08-.29,.35-.57,.68-1.15,1.09-1.69,2.95-3.86,5.91-7.71,8.86-11.56,.32-.57,1.24-1.43,1.12-2.02-.17-.13-.43-.33-.58-.3-1.95,.41-3.9,.84-5.83,1.3-13.14,3.19-26.45,5.84-39.78,8.48-.51,.1-1.05,.14-1.59,.15-.33,0-.56-.19-.45-.38,2.6-4.43,5.96-8.41,8.86-12.65,.46-.64,1.08-1M .25,1.08-2.04-.46-.31-.98-.27-1.5-.18-3.95,.67-7.9,1.33-11.85,2.01-8.15,1.42-16.33,2.74-24.57,3.79-4.89,.38-9.8,1.95-14.68,1.72-.32-.62,.12-1.07,.41-1.52,2.21-3.45,4.44-6.89,6.65-10.33,.39-.84,2.26-2.66,.47-2.9-15.77,1.47-31.53,3.24-47.38,4-3.22,.12-6.43,.59-9.66,.5-1.25-.31-.13-1.5,.14-2.19,2.13-4.06,4.78-7.9,6.57-12.12-.12-.79-1.34-.54-1.94-.62-21.68,.64-43.35,.59-65.04,.04l.15,.09c2.43-5.2,4.86-10.4,7.29-15.59l-.11,.07c22.41,.6,44.88,.7,67.3,.63,.45,.66,.11,1.16-.14,1.64-1.55,2.98-3.12,5.95-4.68,8.93-.28,.98-2.7M 7,3.75-.78,3.88,14.79-.46,29.54-1.62,44.27-2.88,4.41-.39,8.8-.97,13.22-1.27,.34-.03,.75,.42,.63,.67-2.23,4.42-5.14,8.49-7.47,12.86-.2,1.29,2.16,.57,2.91,.63,16.49-1.97,32.81-4.69,49.17-7.45,.2-.03,.47,.14,.67,.25,.13,.61-.68,1.48-.93,2.07-2.53,4.02-5.38,7.88-7.7,12.02,.89,.46,1.68,.26,2.46,.1,4.57-.91,9.13-1.86,13.7-2.76,9.67-1.91,19.19-4.23,28.76-6.42,.9-.21,1.82-.39,2.74-.53,.16-.02,.4,.19,.55,.33,.12,.62-.75,1.45-1.05,2.04-2.33,3.27-4.68,6.54-7,9.81-1.53,2.28-2.71,3.44,1.12,2.55,6.52-1.71,13.02-3.45,19.55-5.14,6M .02-1.56,11.91-3.39,17.85-5.12,1.3-.2,2.9-1.24,4.14-.72,.06,.03,.09,.2,.05,.28-.33,.58-.62,1.19-1.02,1.74-2.85,3.9-5.73,7.79-8.59,11.69-1.71,2.35-1.2,2.35,1.32,1.69,9.5-2.72,18.85-5.77,28.15-8.9,3.35-1.13,6.72-2.21,10.08-3.31,.3-.1,.57-.09,.69,.15,.27,.55-.23,1.01-.53,1.44-4.01,5.06-7.57,10.55-11.88,15.35,.16,.14,.21,.3,.43,.29l-.52-.31c2.13,.97,4.62-.91,6.74-1.36,10.97-3.62,21.79-8.17,32.65-11.65,.9,.25-1.32,2.53-1.57,3.08-4.25,5.18-8.03,10.81-12.6,15.71,0,0,.17,.08,.17,.08l-.09-.15c1.01,.81,2.28,0,3.32-.34,10.58-M 4.02,21.25-7.9,31.6-12.3,.26-.09,1.22-.37,1.29,.06-3.97,6.79-9.14,12.97-13.93,19.27-2.39,3.06,5.41-1.06,6.25-1.19,6.49-2.63,12.89-5.39,19.21-8.27,1.23-.37,2.68-1.61,3.94-1.22,.21,.38-.45,1.05-.64,1.42-3.54,4.83-7.08,9.66-10.63,14.49-1.5,2.04-3.04,4.07-4.54,6.11-.53,.97-.25,1.33,1.21,.76,8.71-3.62,17.32-7.45,26.01-11.11,.39-.13,1.04,.11,.77,.64-4.35,6.1-9.11,11.95-13.62,17.95-1.76,2.29-3.56,4.57-5.31,6.87-.29,.48,.29,.82,.73,.67,8.07-3.16,16.14-6.46,24.01-9.99,.84-.26,2.08-1.04,2.89-.9,.09,.17,.23,.41,.15,.54-.5,.76M -1.05,1.5-1.61,2.24-6.15,8.69-15.4,18.96-20.87,27.13,.07,.08,.23,.19,.3,.17,.75-.23,1.52-.44,2.24-.72,7.24-2.87,14.47-5.76,21.7-8.63,1.11-.27,2.19-1.31,3.3-.68-8.62,11.65-18.25,22.65-27.31,33.93,1.13,.67,2.59-.36,3.79-.63,7.13-2.54,14.25-5.11,21.38-7.65,.59-.13,1.3-.53,1.88-.26,.08,.05,.17,.19,.13,.24-.37,.57-.72,1.15-1.15,1.68-10.08,12.51-20.66,24.79-31.3,36.9-1.05,1.56,.56,.96,1.5,.84,5.9-1.51,11.79-3.04,17.68-4.55,1.05-.14,2.49-.88,3.45-.6,.07,.05,.13,.18,.09,.24-.21,.39-.4,.8-.7,1.15-4.1,4.81-8.13,9.65-12.33,14M .39-8.09,9.15-16.26,18.24-24.4,27.36-2.6,2.66-1.52,2.71,1.57,2.2,6.7-1.13,13.34-2.76,20.07-3.62,1.39,.17-.76,2.02-1.11,2.57-13.97,16.12-28.65,31.83-43.51,47.41-.51,.71-1.66,1.16-1.43,2.18,.9,.42,1.85,.18,2.75,.09,5.62-.55,11.22-1.14,16.84-1.69,1.46-.14,2.95-.19,4.42-.26,.33-.02,.51,.14,.51,.39-16.91,20.3-36.55,39.27-55.21,58.47-.61,.67-1.54,.86-2.48,.85-7.82,.04-15.63,.08-23.45,.11-.77,.01-1.87-.08-1.72-.85,18.36-18.02,37.14-35.65,54.89-54.27,.44-.6,1.39-1.12,1.1-1.94-1.34-.29-2.95,.05-4.36,.07-5.22,.46-10.43,1.03-M 15.64,1.53-1.34,.11-2.68,.17-4.02,.23-.33,.02-.51-.15-.5-.4,11.19-12.17,23.76-23.66,35.02-35.85,3.76-3.94,7.49-7.9,11.23-11.85,.56-.56,1.14-1.1,1.16-1.92-7.9,.6-15.72,2.92-23.66,3.76-1.2-.12,.96-1.88,1.21-2.31,13.04-13.6,26.3-26.93,38.41-41.16,.38-1.08-2.86,.26-3.4,.28-7.9,2.11-15.68,4.69-23.65,6.49-1.14-.12,.6-1.58,.86-2.03,4.58-4.93,9.26-9.8,13.75-14.78,5.83-6.46,11.52-13.01,17.26-19.53,2.21-2.66-1.48-.92-2.72-.63-7.11,2.32-14.21,4.64-21.31,6.96-.87,.28-1.7,.67-2.7,.52l-.17-.14c.11-.3,.12-.66,.33-.9,3.73-4.23,7.5M 1-8.42,11.21-12.66,5.01-5.74,9.97-11.51,14.95-17.27,.24-.39,.92-.98,.75-1.4-1.31-.4-2.75,.69-4.05,.98-6.99,2.53-13.98,5.06-20.97,7.59-1.15,.28-2.21,1.13-3.41,.69,2.48-3.51,5.58-6.57,8.27-9.92,4.9-6.17,10.52-11.91,14.98-18.35,.02-.04-.21-.22-.27-.21-.63,.14-1.28,.26-1.86,.49-8.61,3.35-17.15,6.82-25.88,9.87-.58,.11-1.35,.07-.67-.82,6.49-7.78,13.05-15.51,19.2-23.54,.26-.42-.04-1.02-.63-.71-9.19,3.6-18.38,7.19-27.72,10.54-1.22,.44-2.49,.82-3.74,1.21-.14,.02-.5-.23-.44-.41,1.84-2.82,4.46-5.1,6.58-7.72,3.77-4.33,7.5-8.68M ,11.24-13.03,.38-.44,.68-.92,1.01-1.39,.04-.06,.01-.23-.04-.25-.23-.07-.49-.16-.73-.15-7.38,2.53-14.66,5.44-22.03,8.05-4.29,1.56-8.63,3.02-12.95,4.53-.62,.22-1.26,.38-1.94,.15l.09,.06Z"/><path class="cls-2" d="M609.5,986.84v.05s-.07,.03-.1,.04l.1-.09Z"/><path class="cls-2" d="M613.62,997.25s.04-.04,.06-.05c.02,.04,.04,.09,.06,.13h-.01s-.11-.09-.11-.08Z"/><path class="cls-2" d="M643.48,973.96s-.06,.03-.09,.04c-.02-.03-.03-.06-.05-.09l.14,.05Z"/><path class="cls-2" d="M702.36,968.35c-2.55,4.08-5.12,8.16-7.89,12.12-5.M 56,3.46-11.18,6.85-17.03,9.85-.3,.16-.9-.08-.91-.36-.49-1.63,1.38-9.45-.54-9.24-8.74,4.24-17.19,9.02-26.17,12.8-.45,.21-.91,.55-1.48,.3-.76-.33-.45-.93-.43-1.43,.19-2.26,.28-4.51,.34-6.78,.02-.53-.11-1.26-.8-1.24-2.39,.5-4.64,1.72-6.93,2.56-8.67,3.88-18.05,6.64-26.84,10.27-1.55-3.36-2.86-6.86-4.18-10.31,11.36-4.11,22.9-8.08,33.89-12.89,1.47,2.85,2.93,5.7,4.42,8.54,.19,.37,.39,.79,1.19,.89,9.18-3.85,17.96-8.58,26.69-13.14,.27-.14,.91,.11,.93,.35,.1,1.07,.23,2.14,.28,3.22,.09,1.61,.13,3.22,.2,4.84,.02,.45,.72,.75,1.1M 7,.5,2-1.09,4.05-2.14,5.98-3.31,5.71-3.4,11.24-7.07,17-10.39,1.51-.39,.96,1.98,1.11,2.85Z"/><path class="cls-2" d="M835.47,996.83l.02-.02s.02,.02,.03,.03c0,0-.01,0-.02,.01-.01,0-.08,.05-.09,.06,.02-.03,.04-.05,.06-.08Z"/><path class="cls-2" d="M883.23,1013.91c-1.69,7.25-3.22,14.53-4.99,21.77-4.71,.42-9.58,.69-14.37,.22,1.05-3.97,2.18-7.92,3.25-11.88,.05-.47,.43-1.21,.08-1.56-1.01-.26-1.75,.76-2.55,1.2-3.59,2.61-7.17,5.23-10.75,7.84-.69,.56-1.41,1.04-2.34,1.07-.31-1.13,.41-2.32,.64-3.46,1.85-6.07,3.16-12.22,4.69-18.M 34,.68-2.75,1.29-5.5,1.91-8.26,.09-.38,.42-.88-.25-1.09-.6-.18-.95,.3-1.31,.59-4.19,3.34-8.25,6.83-12.5,10.1-.22,.1-.87,.26-.9-.16,1.86-8.81,4.03-17.53,5.67-26.39,.11-1.03-1.14-.47-1.54-.02-4.11,3.79-8.5,7.35-12.48,11.27-.48-.42-.59-.93-.47-1.47,.36-1.7,.66-3.41,1.13-5.09,.99-3.58,1.44-7.22,2.11-10.84,.25-2.15,1.07-4.26,.76-6.43-1.15-.22-2.05,1.28-2.92,1.91-3.37,3.22-6.73,6.45-10.11,9.66-.15,.13-.88,.28-.91-.13,.31-2.78,.92-5.55,1.44-8.3,.82-3.83,1.34-7.68,1.82-11.53-.25-1.65-1.96,.52-2.53,1.04-3.04,3.02-6.07,6.05-M 9.13,9.06-.75,.59-1.37,1.6-2.46,1.43,.27-5.56,1.61-11.11,2.16-16.68,.12-2.11-1.41-.62-2.17,.11-3.38,3.36-6.73,6.73-10.11,10.09-.52,.4-1.03,1.18-1.74,1.2-.3,0-.48-.15-.46-.42,.13-1.29,.26-2.57,.42-3.85,.41-3.65,1.17-7.26,1.08-10.94-.46-1.29-2.18,1-2.73,1.41-4.58,4.66-9.19,9.29-14.2,13.67-.56,.36-1.12,1.16-1.81,1.15-.17-.13-.41-.32-.38-.45,.75-4.46,.92-9,1.28-13.49-1.19-.3-1.74,.73-2.56,1.33-5.57,4.95-10.72,10.38-16.54,15.02-.12,.08-.61-.06-.67-.16,.01-.75,.02-1.5,.09-2.25,.26-3.11,.55-6.22,.81-9.34,.01-.18-.18-.37-.M 29-.56-.12-.22-.62-.12-1.02,.21-1.63,1.37-3.26,2.73-4.89,4.1-1.69-2.66-3.3-5.36-4.82-8.08,.2-.38,.39-.75,.58-1.13h0c3.41-2.76,6.51-6.28,10.12-8.62,.21,.1,.52,.25,.54,.39,.29,3.33,.08,6.67,.17,10.02,0,.29-.02,.73,.49,.73,.33,0,.74-.21,.97-.42,1.33-1.21,2.65-2.44,3.93-3.69,3.58-3.51,7.13-7.03,10.7-10.54,.7-.52,1.29-1.64,2.25-1.61,.2,.05,.45,.26,.47,.43,.3,2.36,.26,4.72,.12,7.09-.1,1.5-.11,3.01-.14,4.51,0,.08,.1,.19,.19,.24,.26,.16,.52,.14,.73-.06,2.33-2.23,4.73-4.41,6.99-6.69,3.08-3.12,6.02-6.36,9.06-9.51,.33-.33,.82M -.48,1.02-.3,.15,.15,.37,.33,.37,.5-.02,2.04-.03,4.09-.13,6.13-.09,2.27-.46,4.51-.4,6.78-.06,.38,.58,.49,.86,.34,4.53-3.97,8.06-9,12.57-12.98,.16-.09,.61,.02,.68,.14,0,1.29,.03,2.58-.04,3.86-.2,3.56-.43,7.11-.65,10.66-.05,.62,.02,1.2,.47,1.71,0,.03,.02,.04,.06,.13,0-.01,.02-.03,.02-.04l-.03-.03s.02,.01,.03,.02c3.45-4.26,7.41-8.16,11.05-12.28,3.82-4.63,.12,14.44,.23,15.84-.27,2.13,.19,2.27,1.7,.8,3.16-3.35,6.31-6.72,9.48-10.07,.65-.55,1.11-1.46,2.13-1.12-.25,6.22-1.03,12.47-2.1,18.63-.13,.63-.08,1.28-.08,1.92-.01,.0M 6,.13,.15,.23,.18,.68,.11,1.27-.76,1.79-1.14,3.61-3.46,7.02-7.15,10.75-10.49,.28-.13,.91-.11,.84,.33-.06,.96-.07,1.94-.21,2.89-.95,6.2-1.94,12.4-2.89,18.6-.46,3.52,.87,1.91,2.57,.54,2.98-2.78,5.94-5.58,8.92-8.37,.5-.32,1.17-1.3,1.8-1.08,.1,.03,.24,.13,.24,.19-.04,1.28,.03,2.58-.19,3.85-.81,4.69-1.75,9.37-2.6,14.06-.56,3.09-1.07,6.18-1.59,9.27-.02,.09,.09,.27,.16,.28,1.05,.19,1.7-.86,2.49-1.37,3.14-2.66,6.28-5.33,9.43-7.99,.77-.49,1.43-1.57,2.46-1.32-.93,9.91-3.98,20.01-5.79,29.93-.07,.58-.34,1.4,.02,1.84,1.56-.02,2M .57-1.4,3.81-2.16,2.86-2.13,5.7-4.27,8.56-6.4,.86-.51,1.57-1.45,2.68-1.21,.29,1.19-.06,2.35-.33,3.51Z"/><path class="cls-2" d="M906.3,1224.16s-.11,.02-.16,.03c.02-.05,.04-.11,.06-.16l.1,.13Z"/><path class="cls-2" d="M883.55,1226.6c-.65,1.55-.76,2.24,1.22,1.91,7.11-1.51,14.24-2.91,21.37-4.32-9.29,25.69-20.38,50.73-31.19,75.8,.68,.49,1.36,.41,2,.35,7.21-.76,14.42-1.53,21.63-2.28,.98-.08,1.32,.59,1,1.31-12.14,29.39-25.6,58.21-39.63,86.76-8.94,.46-18.02,.3-26.97,.09-.28-.49-.24-.9-.03-1.32,1.07-2.09,2.11-4.19,3.22-6.27M ,13.18-25.48,26.59-50.9,37.7-77.24,.02-.14-.29-.45-.43-.45-1.74,.06-3.48,.1-5.21,.28-4.94,.51-9.86,1.1-14.8,1.64-1.3,.02-2.73,.46-3.94-.07-.17-.79,.29-1.46,.63-2.16,3.33-6.93,6.72-13.84,9.98-20.8,7.7-16.4,14.99-32.91,21.86-49.63,.24-1.2-1.64-.82-2.4-.6-6.52,1.32-12.99,2.9-19.53,4.07-1.13-.11-.52-1.2-.3-1.86,2.94-6.7,5.99-13.38,8.83-20.11,5.7-13.64,11.66-27.22,16.41-41.19,.02-.1-.37-.39-.5-.36-.78,.15-1.56,.32-2.31,.56-5.25,1.67-10.49,3.36-15.74,5.04-.65,.15-2.12,.9-2.25-.15,6.64-17.92,14.43-35.51,19.96-53.81-.44-.7M 8-1.73,.04-2.37,.19-5.63,2.14-11.14,5.15-16.85,6.82-.57-.75,.18-1.64,.36-2.44,4.01-10.39,7.62-20.87,11.07-31.38,1.27-3.85,2.5-7.71,3.73-11.57,.16-.51,.21-1.05,.28-1.59,.02-.09-.06-.25-.15-.28-.22-.08-.53-.21-.69-.15-4.93,2.36-9.65,5.11-14.51,7.63-.58,.21-2.22,1.52-2.56,.51,.98-4.04,2.52-7.94,3.74-11.92,2.19,.11,4.39,.14,6.59,.19v-.28c3.11-.09,6.2-.28,9.27-.59-.14,.9-.9,2.01-.42,2.86,2.86-.56,5.38-2.62,8.06-3.8,3.08-.47,6.12-1.04,9.13-1.72-4.14,15.2-9.05,30.22-13.57,45.28-.04,.24,.57,.57,.88,.45,.85-.31,1.72-.61,2.5M 5-.95,4.17-1.75,8.34-3.52,12.51-5.27,1.02-.25,3.83-2.1,3.25,.18-5.52,18.38-11.9,36.48-18.38,54.55,.03,1.09,1.58,.38,2.22,.25,5.4-1.66,10.8-3.34,16.2-5,.7-.08,2.01-.78,2.45,.03-6.62,21.28-15.05,42.09-23.37,62.81Z"/><path class="cls-2" d="M651.78,405.08c-3.75,2.53-7.29,5.81-11.18,7.96-.71-.38-.22-1.12-.09-1.7,.94-2.5,1.83-5.01,2.72-7.52,2.93,.21,5.79,.63,8.55,1.26Z"/><path class="cls-2" d="M667.09,411.11c-5.61,4.23-11.06,8.67-16.75,12.8-.28,.22-.77-.17-.78-.37,.19-.84,.43-1.68,.69-2.52,1.57-5.03,3.37-10.01,5.3-14.96,M 4.07,1.26,7.92,2.9,11.54,5.05Z"/><path class="cls-2" d="M662.49,358.76c-.91,1.88-1.86,3.75-2.77,5.63-2.23-.47-4.47-.87-6.72-1.18,.91-.26,10.95-7.72,9.49-4.45Z"/><path class="cls-2" d="M677.33,419.2c-3.41,2.51-6.63,5.2-10,7.76-.48,.37-.91,.82-1.68,.84-.33-.39-.13-.79,0-1.19,1.52-4.49,3.04-8.99,4.57-13.48,2.49,1.74,4.86,3.75,7.1,6.07Z"/><path class="cls-2" d="M684.58,428.54c-.34,.19-.69,.63-1.1,.51-.81-.48-.12-1.5-.01-2.22,.38,.56,.75,1.13,1.11,1.71Z"/><path class="cls-2" d="M713.56,394.9c-.22,.66-.46,1.31-.71,1.96-.M 45-.56-.91-1.1-1.37-1.64,.55-.35,1.14-.66,1.8-.89,.12,.23,.32,.43,.28,.57Z"/><path class="cls-2" d="M718.94,54c-10.17,15.19-21.14,30.02-30.98,45.35-5.5,8.39-10.99,16.79-16.46,25.2-.49,.75-.88,1.55-1.26,2.35-.06,.11,.19,.38,.38,.47,7.83-.26,15.71-2.01,23.59-2.26,.33-.01,.73,.46,.58,.69-.6,.96-1.2,1.93-1.82,2.88-13.08,19.8-26.33,39.6-38.03,60.2,.61,.31,1.14,.33,1.67,.21,2.34-.51,4.67-1.03,7.01-1.54,4.29-.93,8.57-1.86,12.87-2.78,.42-.04,1.78-.22,1.56,.44-10.78,18.31-22.97,35.89-32.4,54.84,0,.07,.2,.21,.29,.21,.52-.05,M 1.07-.06,1.55-.21,5.51-1.73,11.01-3.48,16.52-5.23,.5-.16,1-.33,1.51-.46,.48-.13,1.04-.5,1.48-.16,.64,.49-.07,.98-.27,1.43-8.72,15.45-19.01,30.93-25.97,46.8,.69,.21,1.5-.34,2.19-.51,5.89-2.38,11.72-4.87,17.65-7.15,.17,.29,.42,.51,.36,.64-.3,.71-.63,1.42-1.02,2.1-4.47,7.84-8.79,15.73-12.94,23.68-2.49,4.77-4.91,9.56-7.36,14.34-.25,.49-.54,.99,.15,1.56,5.59-2.47,11.04-5.32,16.57-7.94,.57-.27,1.19-.48,1.8-.7,.05-.02,.2,.07,.26,.14,.08,.08,.17,.21,.14,.28-.31,.71-.61,1.42-.97,2.11-5.36,10.11-10.57,20.27-15.5,30.52-.53,1.M 1-.92,2.24-1.36,3.37,0,.18,.37,.39,.57,.3,5.96-2.78,11.36-6.69,17.38-9.35,1.11-.02-.12,1.61-.28,2.16-4.21,8.08-7.87,16.33-11.64,24.55-4.62-.37-9.25-.43-13.86-.19,2-4.65,4-9.31,5.99-13.97,.17-.41,.55-1.34-.23-1.26-5.44,2.66-10.49,6.05-15.78,8.98-.42,.24-.94,.38-1.42,.55-.06,.01-.28-.12-.27-.17,1.63-5.33,4.33-10.38,6.48-15.56,2.95-6.47,6.04-12.91,9.05-19.36,.37-.81,.64-1.64,.93-2.46,.03-.08-.09-.21-.18-.28-.61-.21-1.49,.45-2.09,.64-5.26,2.62-10.42,5.41-15.73,7.92-.31,.14-.77-.26-.77-.49,5.87-14.26,13.1-28.08,20.04-41M .91,.21-.42,.35-.8-.2-1.24-6.38,2.43-12.59,5.42-19.01,7.73-.11,.03-.33,.02-.36-.03-.12-.18-.29-.4-.25-.57,7.37-15.82,15.45-31.27,23.91-46.6,1.21-2.17,1.29-2.5,.78-2.64-1.17-.32-2.07,.29-3.02,.59-5.92,1.71-11.66,4.07-17.67,5.42-.56-.1-.02-1.08,.08-1.44,9.49-19.03,20.15-37.47,30.69-55.98-1.67-.53-3.1,.24-4.74,.49-5.72,1.22-11.4,2.6-17.14,3.73-.39,.06-.82,.17-1.14-.11-.6-.62,.36-1.43,.58-2.06,5.94-10.74,12.02-21.42,18.3-32.03,6.25-10.61,12.84-21.09,19.14-31.7,.24-.9-1.2-.67-1.74-.64-5.74,.63-11.47,1.27-17.21,1.91-1.92M ,.06-3.78,1.01-5.66,.23,14.02-26.02,30.83-50.79,46.95-75.69,1.06-1.57,3.53-.77,5.18-.98,6.87,0,13.75,0,20.62,0,.64,.07,1.82-.15,1.93,.65Z"/><path class="cls-2" d="M912.65,421.86l.18-.03s-.03,.08-.04,.12l-.14-.09Z"/><path class="cls-2" d="M964.38,416.15l.09-.12h.06l-.15,.12Z"/><path class="cls-2" d="M968.58,404.73c-.99,3.58-2.42,7.05-3.6,10.59-.09,.25-.31,.48-.51,.71-17.28,1.23-34.55,2.97-51.64,5.8,.96-3.74,2.63-7.38,3.16-11.19-.29-.86-2.59-.18-3.32-.17-13.84,2.35-27.44,5.29-41.05,8.48-1.93,.41,0-3.32,.17-4.5,.6-1.9M 9,1.24-3.97,1.86-5.95,.13-.42-.44-.87-.95-.76-11.81,2.92-23.46,6.36-34.94,10.06-1.49,.48-3.03,.88-4.56,1.28-.12,.03-.51-.24-.51-.36,.31-3.23,1.95-6.26,2.83-9.38,1.14-2.94-2.5-.91-3.8-.59-10.94,3.84-21.8,7.86-32.51,12.26-.31,.12-.92-.21-.86-.47,.21-.95,.39-1.91,.67-2.85,.75-2.52,1.55-5.02,2.31-7.53,.06-.18-.05-.4-.12-.6-.17-.4-1.38,.05-1.81,.24-9.4,3.77-18.56,7.88-27.4,12.44-.8,.29-1.63,1.04-2.47,.95-.17-.13-.44-.33-.41-.45,.81-2.95,1.65-5.88,2.47-8.82,.31-1.11,1.18-3.65-.93-2.4-8.77,4.35-17.1,9.48-25.67,13.96-.36-.M 47-.24-.88-.13-1.29,1.06-3.77,2.27-7.52,3.18-11.34,.02-.08-.1-.25-.18-.27-.24-.04-.56-.1-.72-.01-6.26,3.58-12.37,7.34-18.35,11.34-1.04-2.32-2.12-4.62-3.25-6.9,.58-2.14,2.35-4.94-1.31-2.6-1.72-3.36-3.6-6.6-5.62-9.66,4.45-2.87,8.98-5.64,13.53-8.37,.09-.06,.35-.08,.38-.04,.66,.7-.34,1.88-.54,2.69-1.69,3.75-2.88,7.61-4.24,11.44-.14,.41-.25,.84,.21,1.3,8.03-4.6,15.59-9.9,23.9-14.23,.54-.3,1.08-.71,1.73-.44,.08,.03,.19,.2,.16,.27-.25,.84-.5,1.68-.8,2.5-1.09,3.53-3.1,6.89-3.54,10.55,.11,.96,2.74-.95,3.29-1.11,7.87-4.26,15M .78-8.82,24-12.47,.19-.06,.56,.16,.57,.34-.3,.93-.61,1.86-.94,2.79-1.12,3.1-2.46,6.15-3.19,9.33-.02,.1,.31,.33,.51,.36,10.72-4.59,21.4-10.07,32.61-14.02,.52,.38,.47,.79,.31,1.2-1.16,2.98-2.33,5.95-3.48,8.94-.24,.61-.38,1.25-.55,1.88-.02,.08,.05,.23,.14,.27,.21,.1,.52,.25,.68,.19,1.22-.44,2.43-.92,3.63-1.4,10.89-4.19,21.86-8.54,33.11-11.91,1.4,.05,.19,1.73,.04,2.46-1.09,2.77-2.2,5.53-3.29,8.3-.17,.43-.12,.85,.35,1.29,13.47-4.27,27.11-8.41,40.84-11.91,.67,.43,.56,.85,.32,1.47-1.09,2.78-2.21,5.54-3.28,8.31-.2,.7-.89,2M .16,.37,2.14,12.97-2.92,25.91-5.93,39.01-8.25,.65-.13,1.31-.26,1.96-.38,3.29-.63,4.08-.68,4.22-.3,.4,1.14-.46,2.09-.79,3.1-.86,2.6-1.87,5.17-2.82,7.75-.15,.43,.35,.82,.95,.74,1.99-.28,3.97-.58,5.96-.85,11.93-1.72,23.89-3.36,35.93-4.33,2.67-.26,5.32-.7,8.03-.62,.28,0,.73,.44,.68,.68-.01,.11,.03,.22,.01,.32Z"/><path class="cls-2" d="M577.88,262.19s.03,0,.05,0h-.05Z"/><path class="cls-2" d="M619.79,358.88c-.38,1.81-1.32,3.49-1.9,5.25-4.8,.89-9.56,2.08-14.22,3.56,5.13-3.01,10.19-6.12,15.32-9.15,.18-.06,.83-.05,.8,.34Z"M /><path class="cls-2" d="M638.22,415.15l-.02,.02-.03-.03h-.01s.14-.07,.14-.07l-.08,.08Z"/><path class="cls-2" d="M663.18,54.74c-15.44,25.12-30.3,50.57-44.27,76.51-.94,1.31-.67,2.27,1.13,1.98,6-.68,12-1.38,18-2.05,1.56-.1,3.21-.48,4.74-.11,.23,.61-.08,1.11-.36,1.59-1.53,2.64-3.11,5.25-4.6,7.91-10.93,19.38-21.62,38.84-31.36,58.8-.12,.29,.35,.62,.76,.53,7.15-1.52,14.29-3.08,21.44-4.62,1.6-.01-.13,1.96-.32,2.68-9.84,18.68-19.83,37.44-28.25,56.68,.35,.68,1.46,.17,2.04,.05,6.14-1.94,12.22-4.02,18.39-5.86,1.38-.25,.58,1.3M 8,.21,1.98-8.1,16.32-16.16,32.59-22.9,49.34,.36,.68,1.43,.11,1.98-.07,5.83-2.38,11.56-5.11,17.45-7.31,.52,.47,.36,.9,.19,1.3-1.19,2.63-2.4,5.26-3.61,7.89-5.1,11.11-9.95,22.3-14.41,33.59-.19,.71-.81,1.5-.22,2.14,6.01-2.18,11.49-6.08,17.44-8.61,.19-.06,.83,.07,.76,.41-.24,.73-.46,1.46-.78,2.16-4.51,10.04-8.54,20.19-12.44,30.39-.7,1.84-1.27,3.73-1.89,5.6-.02,.08,.06,.26,.14,.29,.09,.02,.18,.05,.28,.07-6.07,1.97-12.02,4.43-17.77,7.34,2.45-7.7,5.13-15.36,7.96-22.99,1.34-3.61,2.75-7.21,4.1-10.81,.23-.61,.57-1.22,.36-1.88M -.03-.09-.18-.22-.23-.21-.37,.08-.78,.13-1.1,.29-4.4,2.3-8.78,4.61-13.18,6.91-.9,.47-1.82,.92-2.74,1.36-.31,.15-.73-.26-.74-.52,1.87-6.64,4.7-13.02,7.06-19.53,3.09-7.9,6.34-15.77,9.51-23.66,.17-.78,.98-1.7,.36-2.42-5.69,1.66-11.19,4.75-16.8,6.91-.64,.15-1.93,.99-2.36,.2,4.46-13.74,10.75-27.06,16.46-40.48,1.68-3.75,3.36-7.5,5.04-11.25,.18-.4,.31-.82-.18-1.24-6.31,1.58-12.41,4.03-18.64,5.95-.61,.2-1.23,.39-1.9,.23-.33-.66-.01-1.26,.25-1.87,1.93-4.47,3.83-8.96,5.81-13.42,6.58-15.4,14.29-30.43,21.21-45.69,.04-.13-.27-.M 46-.4-.45-.79,.04-1.6,.09-2.37,.26-5.97,1.3-11.94,2.63-17.91,3.95-.66,.16-2.27,.61-1.98-.57,10.4-23.35,21.92-46.19,34.02-68.76,.29-.55,.86-1.11,.48-1.8-.78-.31-1.58-.13-2.37-.04-6.54,.74-13.07,1.5-19.61,2.23-.74-.04-2.64,.48-2.6-.64,8.93-18.7,18.78-36.91,28.75-55.14,4.44-7.96,8.88-15.93,13.35-23.89,.54-.96,.9-2.03,2.02-2.87,8.15-.26,16.38-.03,24.56-.09,.95-.02,2.93-.12,2.04,1.33Z"/><path class="cls-2" d="M867.39,430.99s.01-.05,.02-.07c.02-.01,.04-.01,.06-.02l-.08,.09Z"/><path class="cls-2" d="M694.16,448.5c-5.43,4.M 35-10.86,8.71-16.3,13.06-.62,.37-1.41,1.38-2.15,1.28-.35-.07-.41-.52-.38-.8,.67-4.16,1.58-8.29,2.12-12.47,.02-.18-.12-.45-.3-.53-1.09-.14-1.87,1.14-2.71,1.68-4.81,4.22-9.61,8.44-14.42,12.66-.62,.42-2.61,2.85-2.95,1.2,.4-4.63,1.56-9.17,2.27-13.76,.05-.51,.14-1.37-.63-1.12-5.92,4.54-11.41,9.76-16.81,14.82-.48,.47-2.16,2.3-2.5,1.05,.41-3.97,1.08-7.91,2-11.82,.39-1.69,.68-3.39,1.01-5.08,.01-.09-.08-.23-.17-.26-.71-.06-1.33,.71-1.87,1.07-3.64,3.32-7.26,6.66-10.9,9.98-.55,.37-1.1,1.19-1.79,1.19-.23-.21-.49-.45-.38-.77,1.M 22-5.62,2.45-11.24,3.66-16.86,.11-.74,.72-1.86,0-2.42-.74-.11-1.52,.95-2.13,1.33-3.43,3.04-6.83,6.1-10.26,9.14-.76,.6-2.79,2.6-2.29,.25,1.65-6.76,3.33-13.52,5.14-20.25,.13-.51,.05-1.05,.04-1.58-.37-.3-1.06,0-1.3,.31-3.51,2.98-7,5.98-10.5,8.96-.73,.63-1.5,1.23-2.27,1.83-.07,.06-.3,.08-.36,.04-.17-.12-.44-.31-.41-.43,1.65-8.65,4.47-17.1,6.77-25.57-.33-1.12-1.41,.02-1.97,.36-3.77,2.92-7.53,5.85-11.3,8.78-.7,.44-1.25,1.34-2.19,1.12-.07,0-.19-.19-.17-.27,.96-3.57,1.9-7.14,2.88-10.7,4.86-2.71,9.94-4.92,15.08-6.57-.32,1.5M 2-1.29,3.01-1.08,4.57,.97-.07,1.45-.63,2.03-1.07,2.57-1.92,5.13-3.84,7.7-5.77,1.85-.37,3.7-.68,5.54-.9-2.07,6.33-4.16,12.65-6.23,18.98-.38,1.14-.69,2.3-1.01,3.45-.03,.09,.04,.27,.11,.29,.64,.24,1.16-.21,1.62-.56,4.57-3.76,9.36-7.26,13.8-11.17,.02,.03,.04,.05,.06,.08h.01c.72,.8,.07,1.79-.11,2.66-1.94,6.6-3.88,13.2-5.81,19.8-.04,.14,.15,.34,.28,.49,.31,.05,.76-.25,1.02-.43,4.13-3.4,8.18-6.86,12.29-10.28,.66-.43,1.29-1.34,2.18-1.01,.08,.03,.17,.19,.15,.28-.13,.64-.24,1.28-.45,1.9-1.7,5.21-2.98,10.49-4.29,15.77-.08,.73M -.22,1.68,.61,1.47,6.13-4.79,12-9.9,18.05-14.8,1.49-1.14,2.52-1.96,2,.74-1.18,4.53-2.4,9.05-3.58,13.58-.13,.52-.11,1.06-.14,1.59,0,.09,.08,.22,.17,.25,.78,.07,1.55-.88,2.19-1.26,3.85-3.17,7.65-6.37,11.52-9.53,1.97-1.61,4.04-3.16,6.08-4.73,.39-.3,.82-.56,1.48-.51,.04,2.63-1.4,5.22-1.88,7.83-.62,2.42-1.14,4.86-1.69,7.29-.18,2.17,10.29-7.2,11.56-7.83,1.52,3.22,2.93,6.55,4.26,9.98Z"/><path class="cls-2" d="M697.71,458.5c-.58,.38-1.6,1.55-2.27,.87-.12-1.93,.48-3.85,.6-5.78,.58,1.61,1.14,3.25,1.67,4.91Z"/><path class="clM s-2" d="M869.74,421.17c-.76,3.26-1.55,6.5-2.33,9.75-13.11,3.03-25.87,7.17-38.74,10.97-.32,.07-.86-.23-.86-.5-.12-3.11,1.11-6.19,1.03-9.28-.48-.65-1.45-.06-2.08,.09-10.88,3.73-21.5,7.84-32.09,12.18-.68,.27-1.36-.14-1.26-.77,.32-2.14,.68-4.27,.98-6.41,.12-.85,.12-1.7,.15-2.56-.06-.68-1.28-.19-1.68-.08-9.41,3.78-18.35,8.61-27.36,13.08-1.84,.25,.34-8.14,.24-9.57,.1-.89-.73-.84-1.24-.62-5.03,2.71-10.05,5.42-14.86,8.38-3.15,1.81-6.13,3.97-9.44,5.49-.11,.05-.55-.16-.57-.27-.24-3.44,.93-6.84,1.29-10.25-.6-1.39-3.8,1.59-4.7M 4,2.03-1.07-3.17-2.2-6.3-3.42-9.4,2.83-1.91,5.74-3.7,8.64-5.53,.64-.35,1.34-.9,2.12-.64,.08,.01,.15,.19,.14,.28-.22,2.92-1.25,5.71-1.75,8.58-.17,.88-.93,1.78-.12,2.7,1.31-.07,2.13-.86,3.08-1.42,6.59-3.92,13.2-7.82,20.08-11.42,1.01-.38,2.03-1.4,3.14-1.23,.18,.08,.33,.35,.3,.52-.45,3.51-1.81,6.96-1.91,10.48,.84,.2,1.38-.15,1.93-.44,3.53-1.78,7.03-3.6,10.57-5.37,5.26-2.63,10.7-4.99,16.21-7.26,.67-.15,1.51-.85,2.17-.39,.85,.93-3.6,11.13-1.32,10.71,10.82-3.93,21.48-8.5,32.52-12.17,.88-.14,3.08-1.58,3.19-.02-.53,2.99-1.4M 4,5.91-2.09,8.88-.29,1.89,1.77,.82,2.74,.57,11.79-3.78,23.67-7.23,35.69-10.32,.37-.1,.79-.15,1.19-.13,.62,.12,.6,.87,.46,1.36Z"/><path class="cls-2" d="M516.24,1302.89c.91,.4,1.85,.16,2.75,0,2.63-.45,5.25-.94,7.87-1.44,6.02-1.16,12.03-2.33,18.05-3.49,.72-.07,1.59-.41,2.19,.14-13.96,13.66-29.89,26.26-44.77,39.36-2.86,2.42-4.31,3.58,.74,2.92,8.13-.87,16.23-2.1,24.39-2.69,.11,0,.33,.07,.34,.13,.04,.19,.11,.46-.01,.58-.77,.75-1.57,1.47-2.39,2.19-17.73,15.34-35.78,30.51-53.98,45.45-.98,.87-2.51,.75-3.78,.76-7.79-.14-15.M 62,.34-23.38-.2-1.05-.77,1.6-2.12,2.07-2.7,16.3-13.47,32.59-26.93,48.88-40.41,.35-.44,2.51-1.8,1.59-2.23-9.35,.38-18.63,2.28-28,2.66-.18,0-.41-.35-.32-.49,.68-.66,1.34-1.34,2.08-1.96,14.11-11.83,28.18-23.72,42.09-35.76,3.53-2.91-1.41-1.23-3.03-1.14-8.81,1.53-17.62,3.07-26.43,4.59-1.69-.37,1.47-2.2,1.94-2.8,12.08-10.67,24.92-20.89,36.24-32.07-.56-.41-1.19-.12-1.79,0-8.83,1.93-17.65,3.86-26.48,5.77-1.55,.34-3.14,.59-4.71,.86-.11,.02-.34-.04-.36-.1-.06-.17-.14-.42-.04-.53,10.65-10.26,22.91-19.55,32.99-30.2-12.26,2.45-M 23.65,5.87-35.97,8.23,.68-1.65,2.04-2.31,3.21-3.54,7.43-6.82,14.86-13.64,22.28-20.47,.92-1.01,2.37-1.74,2.66-3.12,.17-.03,.39-.05,.28-.25-.26-.02-.33,.09-.19,.31-.8-.29-1.58-.08-2.34,.11-3.7,.91-7.38,1.86-11.08,2.78-7.94,1.73-15.76,4.36-23.8,5.5l.06,.09c-.03-.2-.18-.47-.07-.59,.71-.78,1.44-1.55,2.22-2.29,6.64-6.38,13.29-12.74,19.93-19.12,.52-.5,1.03-1,1.49-1.53,.1-.11,0-.37-.08-.54-.76-.25-1.88,.25-2.69,.37-11.52,3.01-23.15,5.71-34.8,8.37-3.14,.77-2.07-.49-.53-1.95,6.26-6.35,12.8-12.45,18.91-18.94,.3-1.15-1.4-.44-1M .99-.38-12.5,3.03-25.14,5.66-37.74,8.39-.82,.07-1.87,.59-2.55-.05-.07-.06-.07-.24-.01-.31,.53-.62,1.06-1.24,1.63-1.84,4.99-5.22,9.99-10.43,14.98-15.66,.32-.45,1.63-1.65,.61-1.79-14.38,2.75-28.71,5.79-43.21,8.19-.73,.06-1.6,.35-2.21-.17-.07-.05-.09-.23-.03-.31,4.78-5.92,10.3-11.25,15.08-17.17,.1-.22-.12-.75-.47-.69-10.72,1.63-21.34,3.61-32.11,5-5.58,.7-11.12,1.73-16.71,2.31-.26-.03-.74-.29-.57-.62,3.73-4.9,7.77-9.57,11.62-14.38,.32-.57,2.33-2.43,.96-2.64-4,.44-8,.91-11.99,1.35-14.11,1.4-28.3,3.38-42.44,3.86-.16-.75,M .37-1.28,.76-1.83,2.44-3.47,4.89-6.94,7.34-10.41,.6-.84,1.23-1.67,1.76-2.54,.39-.65,1.38-1.31,.74-2.04-.46-.53-1.5-.24-2.28-.18-19.51,1.31-39.04,2.04-58.59,2.32-.46-1.31,.66-2.23,1.15-3.36,2.2-3.93,4.42-7.86,6.61-11.79,1.49-2.58-.23-1.98-2.17-2.14-22.51,.08-44.98-.98-67.45-2.01l.09,.1c2.43-6.07,4.86-12.13,7.29-18.2l-.12,.07c24.25,2,48.57,2.9,72.9,3.25l-.09-.1c-2.84,5.22-5.68,10.44-8.51,15.66-.42,.78-.06,1.18,1.12,1.17,20.85,.12,41.66-1.01,62.47-1.86l-.06-.11c-3.46,5.11-6.92,10.22-10.38,15.33-.3,.47-.49,1.2,.3,1.32,M 10.47-.6,20.89-1.64,31.32-2.68,7.89-.75,15.75-1.68,23.6-2.61,.34-.04,.78,.42,.65,.66-.17,.29-.31,.6-.51,.87-3.28,4.34-6.69,8.59-10.01,12.9-.49,.64-.93,1.31-1.37,1.97-.21,.4,.34,.46,.62,.56,16.87-1.79,33.57-5.37,50.34-7.41,.2,.64-.26,1.06-.62,1.48-4.36,5.18-8.88,10.25-13.17,15.49-.08,.22,.14,.72,.51,.66,1.85-.22,3.69-.62,5.52-.94,13.5-2.45,26.89-5.38,40.34-8.03,1.06,.2-.31,1.36-.59,1.82-4.28,4.7-8.58,9.39-12.86,14.09-.71,.78-1.39,1.58-2.07,2.38-.29,.35,.32,.55,.54,.55,13.44-2.62,26.67-6.03,39.94-9.2,1.02-.15,2.07-.6M 9,3.08-.3,.05,.6-.49,.97-.89,1.38-5.86,6.33-12.18,12.28-17.84,18.78,1.27,.34,2.26-.14,3.25-.37,4.9-1.18,9.77-2.42,14.63-3.68,7.59-2.16,15.44-3.72,22.88-6.28l-.02-.05c.86,1.14-.68,1.96-1.33,2.77-5.57,5.54-11.14,11.08-16.71,16.62-1.03,1.24-5.53,4.61-.98,3.38,11.98-3.24,24.05-6.18,35.93-9.73,1.38,.06-.89,1.99-1.25,2.43-6.86,6.8-13.74,13.6-20.81,20.2-1.24,1.26-4.29,3.67-.25,2.61,10.83-2.94,21.66-5.87,32.45-8.93,3.55-.99,1.25,.81,.04,2.15-6.14,5.86-12.3,11.71-18.47,17.55-.59,.93-10.64,8.92-8.22,8.72,11.07-2.62,22.01-5.6M 9,33.01-8.59,3.22-.52-.59,2.19-1.3,3.01-10.02,9.16-20.04,18.32-30.06,27.48-.53,.49-1.05,.98-1.52,1.51-.1,.11,0,.36,.07,.53,.03,.06,.25,.13,.36,.1,3.11-.68,6.24-1.33,9.33-2.06,7.23-1.69,14.45-3.42,21.68-5.13,.4,0,1.2-.32,1.28,.14-12.14,12.22-25.76,23.14-38.51,34.8-.7,.62-1.67,1.12-1.84,2.06-.18,.23-.16,.26,.08,.09l-.19-.14Z"/><path class="cls-2" d="M1279.83,881.01c-9.33-9.29-17.97-19.35-27.59-28.59-5.31-5.29-10.7-10.51-16.06-15.76-.53-.46-1-1.15-1.81-1.02-.06,0-.19,.19-.17,.27,.74,2.73,1.47,5.46,2.25,8.19,1.19,4.19,M 2.41,8.38,3.62,12.57,.21,.73,.43,1.47,.2,2.23l.12-.06c-1.32-.13-2.06-1.61-3.03-2.39-11.53-11.59-23.34-23.98-36.24-34.17-.15,.13-.36,.33-.33,.46,.29,1.05,.61,2.09,.95,3.13,2.02,6.14,4.06,12.28,6.07,18.42,.24,.72,.36,1.46,.52,2.2,.01,.06-.11,.19-.2,.21-.91-.15-1.56-1.18-2.29-1.71-5.69-5.47-11.28-11-17.08-16.39-4.4-4.08-9.06-7.97-13.62-11.94-.42-.37-.82-.82-1.62-.72-.24,.9,.33,1.69,.61,2.49,1.92,5.49,3.93,10.97,5.88,16.46,.88,2.48,1.67,4.98,2.48,7.47-.01,.23-.41,.35-.6,.19-9.04-7.91-17.69-16.26-26.88-24.12-.91-.79-1.8M 7-1.55-2.83-2.29-.11-.08-.42-.03-.62,.01-.06,.01-.13,.2-.1,.29,.3,.94,.61,1.87,.94,2.8,2.79,7.65,5.61,15.29,8.36,22.95,.33,.91,.9,1.81,.66,2.88-1.38-.35-2.18-1.49-3.25-2.32-6.83-5.81-13.65-11.62-20.49-17.43-.83-.7-1.74-1.34-2.63-1.99-.08-.06-.33-.08-.38-.04-.7,.54,0,1.38,.14,2.06,3.14,8.8,6.29,17.59,9.44,26.39,.18,.5,.53,.99,.14,1.53-1.12-.24-1.72-1.01-2.47-1.61-7-5.51-13.76-11.32-20.89-16.66-.19-.11-.89-.17-.88,.23,.76,2.29,1.54,4.57,2.33,6.86,2.47,7.16,4.96,14.32,7.42,21.48,.25,.72,.39,1.47,.56,2.21,.02,.09-.08,.M 26-.16,.28-.23,.04-.56,.09-.69,0-.91-.64-1.77-1.32-2.65-1.99-5.18-3.93-10.37-7.86-15.56-11.78-2.98-2.17-3.36-2.06-2.1,1.55,3,8.72,5.79,17.48,8.45,26.27,.32,1.05,.62,2.09,.89,3.15,.04,.15-.14,.34-.22,.52-1.02-.15-1.6-.79-2.29-1.28-4.43-3.15-8.85-6.32-13.28-9.46-1.19-.66-2.5-2.09-3.85-2.19-.39,.15-.41,.49-.34,.8,.15,.63,.3,1.27,.5,1.89,2.97,9.62,5.61,19.29,8.25,28.97,.48,2.29,1.19,3.95-1.72,1.89-4.37-2.88-8.72-5.77-13.1-8.64-1.01-.48-2.14-1.69-3.3-1.46-.07,.02-.13,.2-.11,.3,.54,2.22,1.05,4.44,1.64,6.65,2.38,9.9,5.2,1M 9.85,6.75,29.82-.8,.13-1.31-.24-1.84-.57-4.61-2.81-9.18-5.69-13.88-8.37-1.67-.89-1.86-.11-1.64,1.48,2.13,10.62,4.17,21.26,5.93,31.95-.06,1.26,2.02,7.54-1,5.37-4.38-2.55-8.84-4.94-13.29-7.36-.55-.25-1.52-.88-2.01-.3,.63,9.55,2.74,19.02,3.46,28.59,.41,4.19,.81,8.38,1.18,12.57-.02,.64,.21,1.9-.75,1.85-5.2-2.19-10.07-5.12-15.33-7.17-.15-.05-.6,.11-.63,.22,.7,15.66,1.97,31.4,1.79,47.13,0,.29-.55,.56-.87,.46-4.51-1.6-8.81-3.74-13.26-5.49-.84-.32-2.67-1.24-2.95,.06-.58,17.55-.37,35.24-2.32,52.69-2.22,.08-4.22-1.27-6.33-1.M 84-3.2-1.13-6.41-2.26-9.63-3.35-.32-.11-.75,.01-1.14,.02l.04,.05c-.76-1.38-.23-2.95-.2-4.45,.21-2.79,.42-5.59,.63-8.38,1.11-13.21,1.8-26.44,2.19-39.69,.04-1.75,.14-2.73,2.55-1.73,3.91,1.44,7.8,2.92,11.71,4.37,1.46,.47,2.34,.65,2.4-1.23,.18-5.82-.1-11.63-.2-17.44,.05-9.37-.78-18.72-.95-28.08,.52-1.28,3.17,.62,4.13,.78,3.44,1.47,6.87,2.97,10.3,4.46,.48,.21,.96,.4,1.58,.12-.24-14.03-3.16-28.74-4.17-42.68,.63-.61,1.42-.04,2.08,.2,3.93,1.88,7.85,3.77,11.77,5.66,.68,.33,1.29,.8,2.24,.67,.08-3.91-1.26-7.89-1.72-11.81-1.2-M 7.26-2.5-14.51-3.91-21.73-.22-1.17-.49-2.34-.69-3.51-.14-.8-.75-1.61-.05-2.43,1.18-.03,1.98,.63,2.85,1.09,4.46,2.11,8.59,5.1,13.2,6.76,.45,0,.32-1.1,.3-1.42-.87-4.03-1.72-8.06-2.69-12.08-1.64-6.76-3.38-13.51-5.06-20.26-.08-.8-1.02-2.82,.33-2.76,5.05,2.58,9.81,5.7,14.74,8.49,.53,.31,1.03,.71,1.79,.51l-.02,.11-.08-.05c.33-.87,.02-1.71-.21-2.54-1.94-6.81-3.89-13.63-5.87-20.43-1.06-3.67-2.17-7.32-3.25-10.98-.02-.08,.06-.25,.14-.27,.76-.32,1.42,.28,2.05,.6,5.21,3.23,10.39,6.48,15.59,9.73,.18,.07,.88,.03,.83-.35-2.81-10.M 12-6.68-19.93-9.9-29.93-1.78-4.4,2.57-.57,4.07,.24,5.2,3.4,10.18,7.11,15.5,10.31,.35-.51,.22-.91,.07-1.32-3.38-9.64-6.91-19.23-10.51-28.8-.47-1.04,.26-1.31,1.37-.56,6.34,4.29,12.47,8.85,18.65,13.36,.59,.31,1.25,.99,1.93,.95,.39-.38-.16-1.35-.25-1.84-3.15-8.22-6.32-16.45-9.47-24.67-.87-2.48-2.11-4.38,1.42-1.97,7.44,5.59,14.86,11.22,22.2,16.91,0-.02,.04-.18,.04-.18l-.09,.26c.44-.75,.17-1.48-.12-2.2-1.08-2.77-2.15-5.55-3.27-8.32-1.96-4.81-3.97-9.61-5.91-14.42-.27-.67-.93-1.34-.43-2.12,.74,.04,1.22,.44,1.72,.79,1.91,1.M 36,3.82,2.72,5.71,4.1,6.17,4.5,12.36,8.99,18.12,13.84,.35,.3,.84,.49,1.28,.71,.05,.02,.29-.1,.29-.14-2.2-7.57-5.85-14.74-8.68-22.12-.17-.4-.34-.79,.02-1.18,1.2,.33,1.94,1.13,2.82,1.79,9.53,6.88,18.32,14.9,27.7,21.63,.15-.12,.37-.31,.33-.43-.29-.94-.6-1.88-.96-2.8-1.39-3.6-2.8-7.19-4.21-10.79-1.01-2.57-2.03-5.13-3.02-7.7-.1-.27-.01-.59-.01-.89,.81,.1,1.26,.53,1.72,.9,10.57,8.38,20.78,17.14,30.94,25.98,.85,.53,1.53,1.84,2.64,1.63,.07-.01,.16-.19,.14-.27-2.08-6.82-4.75-13.46-7.06-20.21-1.14-2.86,.99-1.16,2.17-.14,12.2M 7,10.63,24.41,21.55,36.16,32.68,.51,.49,1.13,.9,1.71,1.33,.19,.13,.55,.04,.55-.22-1.5-7.11-4.17-14.01-6.09-21.04,.22-1.57,2.63,1.34,3.16,1.68,14.99,13.73,29.27,28.14,43.76,42.35,.06,.06,.29,.1,.34,.07,.17-.13,.44-.3,.42-.44-.07-.75-.18-1.5-.35-2.24-1.16-4.97-2.36-9.94-3.52-14.92-.24-1.79-1.69-5.74,1.36-2.62,17.96,17.72,35.36,36.12,52.5,54.54,1.53,.56,.58-2.14,.69-2.91-.7-5.57-1.52-11.13-2.24-16.7-.04-.29,.1-.6,.23-.89,.3-.42,1.64,.95,2.01,1.39,21.11,22.31,41.18,45.46,61.07,68.76,.89,1.03,1.3,2.06,1.29,3.3-.05,6.14-M .02,12.28-.04,18.42,0,.29-.17,.58-.3,.86-.43,.53-1.66-1.26-2.07-1.72-8.35-9.92-16.64-19.87-25.06-29.75-10.08-11.84-20.25-23.64-30.78-35.23-.71-.78-1.47-1.54-2.2-2.3-.19-.2-.45-.24-.72-.09-.09,.05-.21,.15-.2,.22,.06,1.07,.06,2.15,.21,3.21,.67,5.79,1.89,11.53,2.17,17.34,.02,.28-.14,.42-.49,.4-.77-.1-1.27-1.08-1.85-1.56-5.68-6.42-11.35-12.84-17.04-19.26-10.28-11.61-21.08-22.91-31.94-34.17-.43-.32-.92-1.02-1.52-.9-.1,.04-.21,.17-.2,.24,1.27,6.71,2.84,13.36,4.32,20.03,.18,.84,.42,1.7,.01,2.55l.03-.08Z"/><path class="clsM -2" d="M257.76,597.97c1.93-.77,3.29,1.94,4.75,2.88,7.59,6.85,15.18,13.69,22.78,20.53,1.13,.89,2.08,2.16,3.53,2.54,.68-.66-.5-2.46-.7-3.34-2.79-7.64-5.59-15.27-8.37-22.92-1.44-4.03,.26-2.29,2.26-.64,7.01,5.96,14.02,11.92,21.04,17.87,.83,.7,1.71,1.37,2.61,2.02,.12,.08,.46,0,.68-.05,.07-.01,.14-.19,.11-.27-.41-1.25-.83-2.49-1.27-3.73-2.95-8.39-6.17-16.69-8.98-25.12-.09-.29-.26-.64,.2-.8,1.29,.14,2.42,1.79,3.55,2.49,5.98,4.81,11.96,9.62,17.96,14.41,.65,.52,1.2,1.18,2.33,1.33,.12-1.9-1.14-3.68-1.6-5.53-2.68-7.77-5.35-15M .55-8.03-23.33-.29-.83-.67-1.64-.39-2.52l-.11,.07c1.37,.01,2.29,1.39,3.42,2.05,5.96,4.33,11.57,9.16,17.77,13.15,.9,.32,.45-1.04,.36-1.49-3.43-10.28-6.83-20.57-9.82-30.98,.17-.73,1.16-.02,1.53,.18,5.92,4.39,12.33,8.28,17.96,12.98,.05-.05,.11-.11,.16-.16l-.22,.14c.98-.84,.34-2.05,.12-3.08-2.99-9.61-5.66-19.28-8.26-28.96-.23-.84-.37-1.7-.5-2.55-.02-.14,.23-.33,.39-.46,.74-.08,1.57,.88,2.26,1.2,4.58,3.01,9.15,6.02,13.74,9.02,.6,.39,1.17,.91,2.21,.78-1.03-6.07-3.07-12-4.35-18.03-1.3-6.2-3.13-12.58-4-18.73,.64-.25,1.2,.1M 4,1.73,.45,4.46,2.81,9.01,5.48,13.55,8.17,.61,.36,1.28,1.13,2.05,.7,.67-.38,.2-1.22,.09-1.84-.28-1.6-.65-3.19-.95-4.78-1.07-5.75-2.14-11.5-3.2-17.25-.67-5.1-2.44-10.2-2.28-15.35,.67-.74,1.92,.48,2.65,.72,4.22,2.31,8.43,4.64,12.66,6.94,.33,.11,1.12,.41,1.4,.11-.26-7.39-2-14.77-2.74-22.15-.65-6.95-1.67-13.92-1.84-20.89,1.29-.32,2.2,.63,3.34,1.04,3.8,1.84,7.6,3.68,11.41,5.52,.57,.27,1.15,.59,1.89,.33-.48-15.29-1.83-30.75-1.87-46.13,.02-.58,0-1.59,.81-1.56,4.8,1.56,9.32,3.87,14.02,5.71,3.36,1.54,2.28-2.04,2.52-4.06,.26M -16.24,.48-32.58,2.15-48.73,.74-.72,2.04,.26,2.89,.39,3.82,1.34,7.62,2.72,11.46,4.03,.83,.28,1.66,.77,2.68,.52,.01,0-.04-.05-.04-.05,.33,.36,.53,.76,.5,1.2-.23,3.55-.55,7.09-.81,10.64-1.09,13.43-1.83,26.87-2.22,40.34-.15,.83,.19,2.46-1.06,2.45-4.52-1.28-8.83-3.18-13.26-4.74-.61-.15-1.63-.63-2.1,0-.63,2.6-.23,5.38-.33,8.04,.03,12.93,.81,25.83,1.18,38.74,0,.25-.59,.56-.87,.45-1.21-.47-2.44-.91-3.63-1.41-3.33-1.42-6.64-2.86-9.96-4.29-.48-.21-.97-.35-1.54-.14,.34,14.16,2.83,28.33,4.25,42.45,.05,.4-.68,.73-1.17,.5-3.6-1M .68-7.2-3.37-10.79-5.06-1.45-.6-2.64-1.66-4.26-1.72,1.25,13.08,4.5,26.06,6.72,39.04-.04,.24-.47,.61-.78,.47-.94-.42-1.89-.82-2.79-1.3-3.59-1.91-7.16-3.84-10.73-5.76-.66-.36-1.29-.78-2.29-.81,1.41,10.01,4.36,19.92,6.74,29.83,.56,2.1,1.04,4.22,1.52,6.34,.03,.13-.23,.33-.4,.46-.59,.13-1.23-.42-1.76-.64-4.82-2.75-9.56-5.62-14.42-8.31-.29-.14-.76,.26-.78,.48,2.37,11.27,6.39,22.21,9.43,33.36-.16,1.16-2.49-.64-3.07-.89-4.77-2.99-9.54-5.97-14.29-8.99-.32-.2-.69-.39-1.07-.19-.15,.08-.21,.39-.17,.57,.2,.84,.42,1.69,.7,2.52,3M ,8.94,6.01,17.87,9,26.81,.24,.72,.39,1.46,.55,2.19,.02,.07-.12,.2-.22,.24-.99,.02-2.38-1.23-3.31-1.69-4.86-3.25-9.68-6.52-14.53-9.78-.52-.2-1.88-1.48-2.17-.61,.54,1.67,1.05,3.34,1.65,4.99,2.83,7.75,5.69,15.49,8.54,23.23,.13,.77,1.03,1.73,.29,2.35-.05,.04-.29,.02-.38-.04-6.59-4.14-12.68-9.02-19.07-13.46-.68-.49-1.23-1.16-2.25-1.26-.36,.41-.19,.82-.04,1.23,1.92,5.04,3.83,10.09,5.77,15.13,1.67,4.32,3.38,8.62,5.04,12.94,.05,.13-.16,.35-.3,.5-1.16-.24-2.15-1.3-3.14-1.94-6.32-4.85-12.63-9.7-18.96-14.54-.67-.51-1.21-1.17-M 2.21-1.32-.34,.56-.12,1.06,.08,1.58,3.2,8.23,6.48,16.43,9.86,24.59,.03,.08-.03,.26-.1,.29-.74,.34-1.33-.32-1.93-.68-7.74-5.52-15.44-11.08-22.73-16.99-.67-.44-1.31-1.34-2.17-1.3-.56,.41-.04,1.26,.11,1.79,2.62,6.45,5.24,12.89,7.86,19.34,.21,.51,.38,1.03,.54,1.55,.03,.09-.06,.27-.14,.29-.77,.27-1.35-.4-1.93-.77-9.55-7.43-19.34-14.56-28.2-22.63-.06,.07-.11,.13-.15,.18l.21-.23c-1.02,1.01-.13,2.27,.21,3.38,2.32,5.95,4.65,11.89,6.96,17.84,.19,.68,.92,1.86-.4,1.54-11.76-8.88-22.65-18.71-33.81-28.11-.17-.09-.86-.14-.81,.27,M 1.98,6.6,4.61,13.01,6.84,19.54,.26,.72,.59,1.43,.33,2.2l.11-.07c-1.34-.06-2.25-1.43-3.3-2.15-6.83-6.05-13.69-12.08-20.45-18.19-5.25-4.74-10.36-9.57-15.54-14.36-.34-.31-.63-.71-1.23-.75-.4-.03-.4,.44-.36,.71,1.88,6.25,3.76,12.51,5.66,18.75,.25,.84,.57,1.66,.38,2.53l.08-.06c-.61,.03-.98-.29-1.33-.61-14.43-13.12-28.47-26.75-42.07-40.53-.54-.36-3.92-4.45-4.2-3.04,1.42,6.47,3,12.91,4.52,19.36,.57,2.59-.79,1.75-2.07,.45-17.33-17.34-34.57-34.89-50.98-53.03-.6-.53-1.03-1.49-1.98-1.32-.06,0-.17,.18-.16,.28,.17,1.72,.3,3.43,M .53,5.14,.65,4.82,1.35,9.63,2.02,14.45,0,.28,.05,.72-.32,.79-.61,.09-1.09-.58-1.52-.9-4.52-4.83-9.06-9.65-13.52-14.51-16.16-17.61-31.73-35.51-47.18-53.66-1.28-1.43-2.72-2.98-2.35-4.99-.05-6.23-.16-12.48-.17-18.71,.36-.06,.73-.2,.82-.12,.46,.37,.9,.78,1.27,1.21,6.24,7.42,12.42,14.87,18.7,22.26,12.7,14.97,25.48,29.91,38.81,44.53,.74,.62,1.2,1.73,2.34,1.49-.46-7.1-1.89-14.13-2.72-21.21,.46-1.57,2.15,1.12,2.67,1.56,5.13,5.81,10.26,11.61,15.39,17.42,11.26,12.09,22.32,25.48,34.65,36.36,.09-.04,.2-.15,.2-.23-.03-.64,0-1.2M 9-.13-1.91-1.33-6.83-3.44-13.57-4.36-20.43,1.88,.81,2.81,2.61,4.24,3.96,13.23,13.91,26.63,28.81,41.3,41.25,.06-.2,.23-.42,.18-.61-.59-2.21-1.18-4.42-1.81-6.62-1.31-5.4-3.55-10.69-4.35-16.15,1.89,.81,2.89,2.56,4.37,3.9,11.15,11.16,22.61,22.97,34.98,32.9,.1-.03,.26-.15,.25-.21-.16-.74-.29-1.48-.53-2.2-2.23-6.76-4.48-13.52-6.72-20.29-.07-.45-.44-1.22-.1-1.55,.22-.04,.56-.1,.66,0,.74,.62,1.45,1.27,2.14,1.93,9.82,9.53,19.64,19.04,30.22,27.8,.89,.69,1.89,1.1,1.34-.63-2.68-7.56-5.36-15.12-8.09-22.67-.29-.81-.34-1.72-1.16-M 2.37l-.02,.03Z"/><path class="cls-2" d="M138.15,1155.19c1.49-6.81,2.57-13.68,4.7-20.35l-.15,.11c15.17,2,30.38,3.66,45.61,5.06,10.96,1.06,22.02,1.32,32.95,2.72l-.09-.1c-2.03,4.9-4.08,9.8-6.1,14.7-.38,.91-.67,1.85-.95,2.78-.04,.13,.19,.43,.36,.47,22.24,1.54,44.62,1.24,66.91,1.56,.32,.52,.16,.92-.08,1.32-1.49,2.53-2.96,5.07-4.45,7.61-1.32,2.24-2.66,4.47-3.97,6.71-.26,.51-.88,1.32-.18,1.7,16.08,.32,32.28-1.03,48.37-1.86,3.22-.2,6.44-.43,9.67-.6,1.03-.04,1.34,.44,.79,1.24-3.39,4.79-6.97,9.46-10.42,14.21-.83,1.21-1.96,2.M 48,.47,2.3,17.22-1.24,34.55-3.64,51.62-5.11,.51,.85-.71,1.53-1.09,2.23-4,4.73-8.01,9.45-12,14.18-.43,.51-1.08,.97-.82,1.74,12.23-.95,24.38-3.38,36.56-4.99,3.7-.57,7.38-1.21,11.07-1.81,.24-.04,.74,.05,.74,.1,.14,.83-.53,1.37-1.05,1.93-5.05,5.76-11.06,11.23-15.59,17.19,.57,.62,1.43,.15,2.15,.1,4.47-.76,8.94-1.56,13.42-2.3,9.83-1.56,19.44-3.75,29.23-5.39-.34,1.49-1.65,2.18-2.6,3.29-5.23,5.21-10.47,10.41-15.7,15.61-.45,.64-1.72,1.25-1.42,2.09,13.3-1.75,26.66-5.19,39.89-7.81,.51-.11,1.02-.32,1.64-.06-.64,1.57-2.34,2.52-M 3.47,3.78-6.01,5.67-12.02,11.33-18.03,17.01-.52,.49-1,1.01-1.48,1.52-.07,.07-.08,.26-.02,.31,.6,.56,1.46,.17,2.17,.09,12.02-2.23,24.27-5.88,36.28-7.4-.38,1.57-2.12,2.4-3.16,3.57-7.22,6.54-14.45,13.07-21.67,19.61-.62,.56-1.2,1.16-1.78,1.75-.07,.07-.12,.26-.06,.3,.15,.12,.39,.29,.55,.26,11.4-2.07,22.67-4.7,33.95-7.19,.6-.12,1.25-.37,1.8,.02,.04,.02,0,.22-.08,.3-9.5,8.88-19.45,17.28-29.11,25.98-.73,.72-1.8,1.21-1.93,2.3,.93,.22,1.83,.05,2.74-.18,10.4-1.94,20.68-4.31,31.12-6.01-.59,1.55-2.06,2.25-3.2,3.39-10.74,9.7-23.M 56,19.18-33.45,29.2,.46,.37,1.66,.09,2.25,.08,9.65-1.36,19.22-3.58,28.92-4.38l-.05-.09c.03,.2,.18,.48,.07,.59-.76,.75-1.53,1.5-2.37,2.2-7.55,6.3-15.12,12.58-22.68,18.88-5.5,4.59-10.98,9.19-16.47,13.79-.29,.4-1.68,1.01-1.17,1.53,.17,.13,.46,.23,.69,.22,1.88-.13,3.76-.27,5.63-.46,5.88-.58,11.76-1.18,17.64-1.76,1.46-.15,2.93-.26,4.4-.37,.07,0,.18,.11,.21,.18,.04,.1,.09,.25,.03,.31-.68,.66-1.34,1.34-2.09,1.95-15.58,12.86-31.26,25.62-47.03,38.27-2.14,1.71-2.06,1.63-4.96,1.63-6.87,.01-13.75,.02-20.62,.02-3.63,.05-3.89-.4M 2-.84-2.71,14.76-11.96,29.77-23.64,44.32-35.85,.13-.13,.07-.4,.05-.6-.65-.29-1.6-.09-2.33-.1-8.3,.73-16.59,1.56-24.88,2.32-1.18,.09-2.28-.05-.9-1.29,12.46-10.29,24.91-20.6,37.36-30.91,.48-.56,2.91-2.17,1.79-2.43-10.46,.94-20.88,3.59-31.36,4.24,.03-.24-.05-.51,.08-.64,.87-.82,1.78-1.61,2.7-2.39,9.61-8.15,19.23-16.3,28.84-24.45,1.04-1.01,2.38-1.71,2.94-3.08-9,1-17.91,3.11-26.88,4.5-1.01,0-9.91,2.41-6.69-.38,8.99-7.86,17.97-15.76,26.9-23.68,1.4-1.38,2.67-2.31-.39-1.89-10.21,1.95-20.42,3.92-30.62,5.9-.75,.08-4.38,1.11-M 4.28-.05,8.18-7.91,16.91-15.29,25.03-23.26,.22-.87-.62-.64-1.19-.51-11.72,2.46-23.6,4.37-35.4,6.56-.91,.01-2.29,.66-2.99-.05-.08-.16,.01-.44,.16-.59,.74-.77,1.51-1.52,2.28-2.26,5.77-5.55,11.55-11.1,17.32-16.65,.51-.49,.99-1.02,1.46-1.54,.07-.07,.09-.25,.03-.31-.34-.39-.86-.4-1.34-.29-10.25,1.8-20.5,3.63-30.76,5.4-3.42,.59-6.88,1.03-10.32,1.52-.17,.02-.42-.16-.58-.29-.07-.05-.06-.24,0-.31,.78-.88,1.55-1.76,2.37-2.61,4.86-5.03,9.74-10.05,14.59-15.08,.56-.58,1.32-1.1,1.33-2.06-10.47,1.08-20.83,3.25-31.33,4.4-5.17,.46-M 10.31,1.8-15.5,1.77,0-.28-.1-.54,.02-.69,.56-.73,1.17-1.45,1.78-2.15,3.78-4.32,7.58-8.64,11.36-12.97,.69-.79,1.34-1.61,1.99-2.43,.06-.07,.06-.24,0-.3-.15-.15-.37-.38-.54-.37-1.48,.1-2.96,.2-4.42,.39-10.64,1.39-21.35,2.34-32.02,3.49-4.55,.43-9.11,.75-13.67,1.09-1.95-.09,.22-2.02,.64-2.76,3.62-5.04,7.81-9.73,11.08-14.99,.05-.1-.22-.45-.35-.45-5.24-.11-10.45,.72-15.68,.96-12.63,.77-25.28,1.26-37.93,1.8-.83-.13-3.49,.54-3.41-.68,3.08-5.66,6.84-10.94,9.95-16.59,.19-1.16-1.78-.72-2.5-.85-4.45,.05-8.89,.14-13.34,.19-14.96M ,.21-29.91-.27-44.87-.55-1.21-.03-2.41-.14-3.62-.21-.3-.02-.72-.49-.63-.71,.31-.82,.61-1.65,.96-2.46,1.93-4.92,4.5-9.65,6.06-14.69,.03-.15-.18-.38-.36-.48-2.05-.5-4.28-.39-6.39-.61-16.53-.77-33.02-2.06-49.49-3.62-5.21-.52-10.42-1.08-15.63-1.6-1.05-.1-2.13-.33-3.19,.01l.12,.1Z"/><path class="cls-2" d="M1009.12,190.08c12.91-2.58,25.93-4.91,38.93-7.08,1.98,.1-1.1,2.24-1.51,2.82-5.68,5.46-11.36,10.92-17.04,16.38-.85,.95-2.06,1.61-2.38,2.89,11.93-1.59,23.69-4.1,35.59-5.98,2.23-.38,4.5-.62,6.76-.89,.19-.02,.53,.13,.6,.27M ,.08,.97-1.46,1.87-2.02,2.67-5.29,5.57-10.8,10.95-15.95,16.65-.3,1.52,7.01-.38,8.16-.35,11.63-1.79,23.27-3.53,34.96-4.92,1.17-.14,2.38-.44,3.58-.07l-.09-.07c.12,1.41-1.41,2.22-2.14,3.3-3.78,4.32-7.56,8.64-11.33,12.97-.54,.62-1.02,1.26-1.51,1.91-.15,.31,.38,.6,.61,.62,8.55-.65,17.06-1.9,25.6-2.69,8.41-.67,16.89-2.21,25.29-2.13,0,1.26-1.16,2.11-1.81,3.13-3.27,4.33-6.54,8.66-9.81,12.99-.41,.69-1.18,1.24-.8,2.1,19.13-1.24,38.05-2.36,57.27-2.98,.22,1.55-.92,2.46-1.57,3.73-2.72,4.56-5.65,9.02-8.23,13.66-.31,1.25,3.35,.66M ,4.16,.83,11.04,0,22.08-.1,33.12-.02,9.01,.14,18.04,.24,27.04,.69,1.42,.37,.08,1.95-.1,2.84-2.04,5.01-4.36,9.92-6.25,14.98-.09,.26,.28,.67,.63,.69,2.95,.21,5.9,.47,8.85,.59,13.56,.66,27.08,1.8,40.6,3.04,7.22,.65,14.43,1.41,21.64,2.1,1.01-.02,2.21,.4,3.03-.31l-.02-.05c.15,.74,.3,1.46,.13,2.22-1.25,6.1-2.99,12.13-3.81,18.31l.11-.08c-17.4-1.82-34.76-4.14-52.22-5.53-9.05-.94-18.19-.99-27.2-2.25l.14,.09c2.26-5.41,4.57-10.81,6.84-16.21,.73-1.81-.08-1.85-1.67-1.94-21.78-1.09-43.6-1.27-65.4-1.33-.57-.91,.32-1.65,.67-2.48,2M .75-4.79,5.74-9.47,8.34-14.34-.1-1.1-1.84-.69-2.63-.79-9.83,.32-19.66,.59-29.48,.99-8.87,.43-17.72,1.17-26.6,1.62-2.08-.15,.58-2.57,.94-3.41,2.8-3.81,5.62-7.6,8.42-11.4,.55-.74,1.05-1.5,1.52-2.27,.09-.15-.07-.39-.15-.69-14.44,.91-28.86,2.69-43.26,4.2-3.07,.33-6.14,.63-9.21,.93-.32,.03-.73-.48-.59-.7,.19-.29,.35-.58,.57-.85,4.02-4.86,8.16-9.63,12.22-14.46,1.76-2.25,1.58-2.29-1.23-2.09-11.94,1.6-23.88,3.25-35.79,5.1-3.3,.51-6.6,1.07-9.9,1.6-.1,.02-.3-.07-.33-.14-.08-.18-.19-.42-.1-.57,1.15-1.61,2.66-2.98,3.98-4.47,3.M 7-3.97,7.42-7.94,11.11-11.92,.56-.6,1.06-1.24,1.57-1.87,.06-.08,.07-.26,0-.31-.41-.33-.92-.3-1.4-.18-13.28,2.32-26.6,4.5-39.77,7.22-1.03,.21-2.11,.27-3.16,.38-.21,.02-.48-.27-.36-.46,5.48-5.92,11.42-11.43,17.07-17.2,.76-.76,1.52-1.51,2.24-2.29,.14-.15,.23-.54,.17-.57-.94-.52-2-.08-2.99,.06-11.94,2.2-23.81,4.6-35.61,7.23-3.07,.45-3.67,.45-.98-2,6.35-6.01,12.71-12.01,19.06-18.01,.7-.66,1.39-1.32,2.04-2,.11-.11,0-.37-.06-.55-.78-.29-1.87,.2-2.72,.27-11.96,2.3-23.91,5.61-35.88,7.4,.13-1.29,1.54-1.9,2.35-2.79,8.06-7.39,M 16.31-14.59,24.28-22.08,.49-1.17-1.3-.53-1.9-.5-10.32,2.05-20.59,4.24-30.81,6.6-2.75,.58-5.11,1.24-1.56-1.73,9.77-8.77,19.76-17.32,29.43-26.2,.29-1.01-2.9-.03-3.51-.03-9.01,1.79-18.02,3.59-27.04,5.38-4.72,1-3.52-.02-.68-2.46,10.39-8.9,20.78-17.79,31.17-26.69,.92-.79,1.83-1.58,2.7-2.4,.12-.11,.04-.38,0-.57-9.83,.66-19.82,3.04-29.68,4.41-2.76,.3-1.06-.91,0-1.95,12.99-10.95,26.1-21.78,39.16-32.67,.74-.62,1.38-1.31,2.04-1.97,.06-.06,.01-.22-.05-.31-9.47,.1-19.17,1.9-28.75,2.52-.28-.96,1.26-1.71,1.85-2.37,15.37-12.55,30M .67-25.19,46.18-37.58,1.57-1.32,3.13-2.75,5.36-2.39,7.55,0,15.09-.01,22.64-.01,3.48-.02,.72,1.55-.48,2.67-9.22,7.41-18.45,14.8-27.67,22.21-5.03,4.05-10.04,8.13-15.04,12.2-.57,.6-1.89,1.25-1.53,2.12,6.16-.21,12.3-1.16,18.45-1.62,3.21-.29,6.43-.51,9.64-.76,.34-.03,.52,.13,.5,.38-11.87,10.8-25.06,20.73-37.36,31.24-.93,.77-1.78,1.61-2.65,2.42-.24,.31,.34,.58,.55,.58,10.32-1.37,20.61-3.54,30.98-4.25-.03,.28,.05,.55-.09,.68-.78,.74-1.6,1.46-2.43,2.16-10.71,9.1-21.43,18.2-32.11,27.3,.29,.28,.38,.28,.23,.05-.04-.06-.22-.05M -.34-.08,2.52,.76,5.3-.53,7.87-.72,8.82-1.41,17.56-3.38,26.44-4.4,.11-.01,.35,.07,.35,.12,.01,.2,.05,.46-.08,.59-9.24,8.29-18.63,16.41-27.92,24.64-.39,.46-1.29,1-1.32,1.56,.42,.32,.92,.28,1.41,.15,10.07-1.94,20.13-3.88,30.2-5.81,1.69-.32,3.41-.55,5.12-.81,.1-.02,.28,.07,.34,.15,.06,.08,.06,.24,0,.31-.46,.52-.91,1.05-1.43,1.53-7.24,6.66-14.49,13.31-21.74,19.97-.8,.88-2.15,1.56-1.64,2.67,.04-.32-.06-.4-.3-.26l.3,.19Z"/><path class="cls-2" d="M892.55,367.68c2.59-4.6,5.15-9.23,7.76-13.82-.68-.63-1.44-.2-2.21-.07-13.91,M 3.39-27.43,7.57-41.1,11.6-.2,.02-.87-.17-.68-.53,2.24-4.3,4.98-8.34,7.41-12.54,1.15-2.14-1.44-.91-2.47-.66-5.23,1.71-10.48,3.38-15.67,5.18-7.3,2.27-14.42,5.71-21.79,7.46-.28-.11-.36-.31-.22-.55,1.85-3.11,3.69-6.22,5.57-9.32,.88-1.45,1.85-2.87,2.77-4.31,.17-.27,.4-.61,.01-.85-.35-.23-.74-.04-1.1,.09-4.4,1.63-8.83,3.19-13.18,4.89-7.86,2.86-15.56,6.72-23.46,9.16-.59-.67,.26-1.39,.54-2.04,2.55-4.03,5.11-8.06,7.66-12.1,.24-.58,1.11-1.48,.88-2.04-.15-.24-.39-.3-.69-.18-4.17,1.75-8.37,3.45-12.49,5.26-5.19,2.29-10.3,4.68-1M 5.3,7.23-.67,.34-1.43,.56-2.16,.82-.06,.02-.21-.08-.29-.15-.08-.07-.2-.2-.17-.26,.25-.61,.48-1.23,.82-1.81,2.56-4.39,5.14-8.77,7.7-13.16,1.96-3.3-.09-1.97-2.08-1.11-7.09,3.53-14.16,7.07-21.25,10.6-2.46,1.05-5.9,3.67-2.92-1.2,2.83-4.76,5.68-9.52,8.52-14.28,.52-.93,1.51-1.99,.55-2.98,.15,.13,.29,.26,.43,.39h.01l-.42-.39c-.31,.54-.87,.81-1.43,1.07-8.55,3.88-16.42,8.67-24.73,12.8-.09,.04-.33,.03-.35-.01-.1-.18-.27-.42-.19-.56,3.38-6.52,7.53-12.63,11.38-18.9,.33-.79,1.5-1.82,.98-2.64-.76-.09-1.71,.65-2.44,.92-7.44,3.88-M 14.86,7.77-22.26,11.73-.42,.22-.96,.65-1.39,.37-.71-.46,0-.97,.24-1.43,4.59-7.81,9.75-15.31,14.28-23.16-.2-.8-1.43,.03-1.91,.17-6.89,3.56-13.81,7.06-20.59,10.82-2.67,1.44-3.33,1.67-3.4,1.27-.16-1.02,.65-1.79,1.16-2.63,4.47-7.48,9.35-14.79,14.2-22.11,3.14-4.35,2.79-4.62-1.93-2.18-6.99,3.44-13.89,7.06-20.92,10.4-1.78,.19,.02-1.75,.35-2.4,6.16-10.35,13.96-20.21,20.1-30.47-.17-.22-.42-.26-.71-.15-.97,.37-1.95,.72-2.9,1.11-4.53,1.9-9.05,3.82-13.57,5.72-1.21,.43-2.35,1.26-3.68,.89l.12,.03c6.15-10.43,13.75-20.24,20.75-30.M 29,1.68-2.33,3.27-4.7,4.88-7.05,.04-.06-.03-.19-.09-.26-.08-.08-.24-.19-.31-.17-.76,.21-1.53,.4-2.27,.66-5.9,2.12-11.78,4.25-17.67,6.38-.83,.37-1.36,.13-.92-.92,.4-.67,.89-1.33,1.33-1.99,3.85-5.44,7.64-10.9,11.57-16.3,5.08-6.98,10.19-13.95,15.6-20.78,.71-.9,1.28-1.87,1.9-2.82,.04-.07-.01-.21-.08-.28-.08-.08-.24-.19-.32-.18-1.03,.22-2.07,.43-3.07,.72-5.07,1.45-10.13,2.92-15.2,4.38-1.01,.29-2.04,.56-3.06,.82-.32,.1-.64-.42-.58-.62,9.24-13.34,19.18-26.19,29.29-39.05,2.46-3.09,4.9-6.19,7.33-9.29,.1-.13,0-.39-.08-.57-.2M 7-.24-.8-.13-1.15-.08-6.16,1.1-12.27,2.48-18.41,3.69-1.04,.21-2.1,.36-3.17,.5-.18,.02-.43-.17-.6-.3,12.55-17.88,27.1-34.95,41.11-52.14,.9-1.07,1.82-2.14,2.72-3.21,.3-.36,.54-.74,.4-1.21-.92-.3-1.85-.11-2.78,0-6.81,.75-13.61,1.52-20.41,2.27-.44,0-1.79,.18-1.55-.49,17.01-22.29,35.32-43.79,54.04-64.72,7.84-.29,15.65-.1,23.5-.19,.8,.13,3.66-.3,3.23,.89-9.18,10.29-18.82,20.21-27.84,30.56-8.48,9.59-17.02,19.14-25.18,28.9-.45,.54-.88,1.09-1.25,1.66-.06,.1,.17,.44,.34,.48,8.16-.2,16.27-2.08,24.44-2.09,.21,.99-.83,1.58-1.34M ,2.31-9.44,10.5-18.79,21.04-27.8,31.78-5.03,5.99-10.01,12.01-14.99,18.03-.51,.62-1.21,1.18-1.28,1.97-.01,.15,.3,.48,.4,.46,6.97-1.17,13.87-2.65,20.81-3.99,.56-.08,2.72-.46,2.32,.33-12.28,15.46-25.68,30.19-37.5,45.99-1.06,1.33,.18,1.2,.97,1.1,6.37-1.74,12.73-3.5,19.1-5.25,.58-.07,1.36-.47,1.9-.19,.09,.17,.23,.41,.14,.53-.82,1.11-1.65,2.22-2.54,3.3-9.76,12.39-20.67,24.57-28.96,37.54,.07,.08,.22,.18,.3,.16,.76-.21,1.53-.41,2.27-.66,5.46-1.85,10.91-3.7,16.36-5.55,1.09-.33,2.33-.96,3.41-.29v-.04c-9.71,11.25-18.38,23.51-M 27.13,35.53-.09,.15,.05,.4,.13,.59,.02,.04,.23,.09,.31,.06,8.02-3.25,15.9-6.81,23.87-10.18,1.96-.8,3.05-1.05,1.31,1.25-5.79,7.89-11.61,15.78-17.38,23.68-1.29,1.76-2.44,3.59-3.63,5.4-.09,.13,.08,.38,.18,.56,1.18-.11,2.37-.98,3.52-1.39,7.01-3.21,14.01-6.43,21.03-9.63,.56-.25,1.21-.38,1.82-.55,.04,0,.23,.18,.21,.24-5.31,8.5-11.6,16.49-17.26,24.8-.52,.74-.88,1.58-1.77,2.13,0,0,.2,.09,.2,.09l-.12-.17c1.03,.8,2.21-.15,3.2-.57,6.66-3.18,13.31-6.35,19.97-9.53,1.53-.62,2.95-1.67,4.64-1.74l-.08-.06c.08,1.39-1.22,2.33-1.89,3.M 46-4.77,6.74-9.65,13.35-13.69,20.48,.31,.86,2.36-.6,2.99-.78,8.12-3.89,16.29-8.25,24.79-11.34,.63,.11-.33,1.33-.47,1.69-3.77,5.71-7.55,11.41-11.33,17.12-.39,.77-1.25,1.47-1.02,2.37-.18,.01-.43,.01-.35,.24,.26,.05,.35-.05,.27-.3,1.59,.13,2.88-.97,4.3-1.53,7.94-3.65,15.67-7.72,23.83-10.89,.35-.09,.84,.2,.55,.57-3.78,5.69-7.77,11.33-11.17,17.19-.15,.26-.14,.59-.17,.88,0,.07,.19,.22,.25,.21,2.86-.75,5.47-2.3,8.21-3.41,7.62-3.45,15.48-6.52,23.38-9.55,.45-.09,1.05-.52,1.45-.15,.07,.07,.16,.2,.12,.26-.33,.58-.65,1.17-1.04M ,1.73-3.2,4.49-6.42,8.97-9.62,13.46-.4,.56-.7,1.16-1.02,1.74,.11,.53,.85,.42,1.25,.27,12.33-4.58,24.64-10.16,37.28-13.73,.62,.26-.33,1.3-.58,1.7-2.83,4.16-5.66,8.32-8.48,12.49-.17,.51-1.45,1.65-.7,1.98,12.37-3.76,24.7-8.51,37.25-12.24,1.24-.24,2.55-1.08,3.79-.63-11.29,18.87-15.91,16.75,7.36,10.31,8.97-2.43,18.07-5.34,27.17-7.06,.11,.04,.28,.16,.27,.2-.14,.41-.25,.83-.49,1.21-2.64,4.23-5.51,8.33-7.96,12.67,1.07,.6,2.07-.05,3.16-.21,14.81-3.39,29.8-7.26,44.81-9.4,.72,.23-.11,1.28-.35,1.71-1.93,3.2-3.87,6.4-5.78,9.6-.M 46,.76-1.09,1.48-1.04,2.39,.79,.37,1.58,.16,2.36,.03,3.55-.62,7.08-1.31,10.65-1.86,12.59-1.85,25.13-3.94,37.81-5.19,.9,0,2.53-.4,1.93,1.08-2.37,4.22-4.76,8.43-7.15,12.65l.08-.06c-8.06,1.62-16.8,1.91-25.01,3.31-9.84,1.14-19.46,3.23-29.28,4.45l.09,.08c2.17-3.92,4.28-7.88,6.53-11.76,.21-.41,.72-1.07,.52-1.49-.28-.17-.71-.36-1.02-.3-4.05,.73-8.12,1.43-12.14,2.26-11.81,2.46-23.59,5.02-35.21,7.99l.07,.12Z"/><path class="cls-2" d="M342.27,130.02c-3.54,23.39-7.76,46.69-10.31,70.21-6.34-1.78-14.07-4.47-20.88-6.58-.61-.19-1.M 74-.64-2.08,.1-2.35,19.96-3.22,40.05-4.55,60.1l.14-.05c-6.97-3.26-13.86-6.7-20.88-9.84-.5-.21-1.06,.08-1.1,.58-.49,16.47-.85,32.96-.31,49.44,.13,3.28-.82,2.45-3.07,1.21-5.91-3.58-11.72-7.28-17.71-10.73-.23-.13-.72,.03-1.19,.06,.13,12.64,1.06,25.23,1.81,37.84,.16,2.69,.26,5.38,.36,8.07,0,.18-.17,.37-.27,.56-.59,.5-1.73-.62-2.32-.95-5.8-4.17-11.45-8.51-17.18-12.76-.58-.33-1.22-1.05-1.91-1.03-.25,.2-.6,.41-.52,.77,1.12,13.44,2.31,26.87,3.78,40.27-.02,2.7-2.85-.79-3.77-1.31-5.87-4.9-11.73-9.81-17.61-14.71-.51-.37-1.72-M 1.46-1.98-.33,.58,5.37,1.32,10.72,2.03,16.07,.93,7.07,1.82,14.14,2.81,21.2,.02,.41-.7,.36-.87,.28-7.77-6.8-15.16-14.02-22.8-20.97-2.46-2.08-.46,4.72-.56,5.73,1.3,9.53,3.15,18.99,4.4,28.52-.37,0-.73,.09-.85-.01-.83-.7-1.66-1.41-2.41-2.16-7.8-7.67-15.25-15.72-23.24-23.18-.15-.1-.57-.06-.59,.17,.24,1.92,.44,3.85,.75,5.77,1.33,8.22,2.77,16.43,4.08,24.66,.07,.47,.64,1.15-.2,1.36-.71,.18-1.05-.56-1.43-.97-6.44-6.91-12.86-13.83-19.29-20.75-2.49-2.68-4.97-5.36-7.48-8.04-.13-.14-.43-.18-.67-.24-.49,0-.35,1.07-.37,1.41,.79,6M .33,2.08,12.6,2.94,18.91,1.9,10.74,1.83,10.3-5.12,2.33-8-9.06-16-18.13-24-27.19-.67-.59-1.12-1.73-2.1-1.79-.16,.02-.41,.29-.39,.43,.49,3.97,.99,7.93,1.52,11.89,.45,4.58,1.56,9.28,1.71,13.79-1.17,.02-1.85-1.45-2.65-2.17-11.3-12.87-21.8-26.74-33.48-39.12-1.06-.13-.3,2.83-.38,3.58,.42,6.43,1.46,12.91,1.56,19.32-.61,.63-1.21-.48-1.62-.86-12.59-15.42-25.18-30.85-37.76-46.28-.72-.86-1.56-1.78-1.46-2.93-.13-6.03-.08-12.06-.08-18.1,0-.53,.14-1.06,.25-1.58,.07-.12,.54-.21,.66-.12,12.13,14.03,23.68,28.57,35.68,42.71,.69,.63,M 1.13,1.77,2.24,1.53-.26-7.3-1.14-14.6-1.6-21.9-.03-.41,.11-.83,.21-1.24,.01-.05,.28-.13,.36-.09,11.01,11.86,21.25,24.65,32.01,36.82,.52,.64,1.02,1.33,1.89,1.53,.3,.08,.48-.22,.41-.73-.34-2.79-.68-5.57-1.03-8.36-.72-5.57-1.45-11.13-1.98-16.72-.02-.17,.15-.37,.28-.53,.05-.05,.32-.07,.37-.03,.62,.56,1.28,1.1,1.83,1.71,4.57,5.07,9.1,10.16,13.68,15.22,4.42,4.89,8.89,9.75,13.34,14.62,.39,.44,1.01,1.29,1.75,1.02,.29-2.87-.72-5.77-.96-8.65-.9-6.2-1.73-12.41-2.55-18.62-.08-.77-.61-2.74,.82-2,8.54,8.71,16.88,17.62,25.4,26.36M ,.62,.54,1.14,1.4,2.08,1.32,.04,0,.15-.16,.14-.25-.14-1.18-.29-2.35-.45-3.53-1.21-9.61-3.12-19.2-3.83-28.85,1.21-.21,1.88,1.01,2.74,1.65,6.96,6.72,13.9,13.46,20.86,20.18,.73,.54,1.38,1.53,2.3,1.68,.29,0,.47-.14,.44-.41-.54-5.05-1.33-10.06-1.99-15.09-.81-6.75-1.58-13.51-2.34-20.27-.02-.15,.23-.4,.41-.45,1-.06,1.62,1.04,2.37,1.55,6.36,5.57,12.72,11.14,19.08,16.71,.77,.52,1.43,1.56,2.47,1.37,.08,0,.2-.14,.19-.22-.04-.97-.05-1.93-.15-2.9-1.16-12.21-2.94-24.49-3.41-36.71,.93-.27,1.59,.53,2.3,.98,6.04,4.61,12.08,9.23,18.M 12,13.85,1.25,.87,3.03,2.66,2.83-.23-.94-14.28-2.08-28.59-2.43-42.88,1.16-.36,1.94,.46,2.88,.96,4.75,3.02,9.48,6.05,14.22,9.07,1.63,.84,3.1,2.36,4.92,2.66,.94-.15,.49-1.65,.59-2.35-.1-15.51-.57-31.02-.23-46.53,.03-2.72,3.03-.23,4.32,.25,5.25,2.63,10.5,5.26,15.76,7.88,.7,.25,1.8,1.05,2.45,.41,.98-17.71,1.59-35.52,2.83-53.25,.28-1.09-.26-3.83,1.47-3.51,6.48,2.13,12.95,4.26,19.43,6.38,1.43,.49,2.88,.94,2.99-1.09,1.69-16.65,3.83-33.25,6.03-49.84,.78-4.9,1.05-9.93,2.49-14.7l-.13,.09c5.91,.99,11.83,1.98,17.74,2.97,2.36,.M 26,4.73,1.12,7.1,.69l-.1-.1Z"/><path class="cls-2" d="M1256.91,1041.89c1.6-.11,2.33,1.51,3.38,2.42,8.52,9.16,16.93,18.41,25.51,27.51,.35,.28,1.03,.21,.98-.38-.55-3.63-1.12-7.27-1.68-10.9-.86-5.66-1.79-11.32-2.6-16.99-.02-.13,.23-.4,.39-.41,1.2,.1,1.96,1.81,2.84,2.56,9.02,10.2,18.03,20.41,27.06,30.61,.75,.64,1.41,2.02,2.52,1.76-3.48-34.04-8.49-32.03,14.6-5.95,5.99,7.02,11.79,14.21,17.88,21.14,.22,.32,.75,.26,.91-.09,.06-.32,.13-.64,.11-.95-.5-6.88-1.14-13.75-1.68-20.63,.03-.33,.22-1.02,.68-.92,.38,.3,.78,.59,1.08,.9M 4,2.38,2.87,4.74,5.76,7.1,8.64,9.86,12.09,19.73,24.17,29.57,36.27,2.29,2.82,2.05,2.02,2.07,5.71,.01,2.26,0,4.52,0,6.79-.01,3.55,.1,7.11-.06,10.66-.49,1.64-2.67-1.77-3.18-2.23-7.07-8.53-14.12-17.06-21.19-25.59-3.8-4.58-7.61-9.14-11.44-13.71-.48-.42-1.18-1.58-1.84-1.53-.42,0-.47,.43-.49,.75,.36,7,1.04,13.98,1.59,20.96,.03,.32-.04,.64-.1,.96-.06,.14-.52,.24-.65,.17-8.12-8.56-15.45-17.92-23.29-26.75-3.43-3.84-6.59-7.95-10.23-11.61-.13-.07-.57,.03-.64,.18,.18,7.15,1.75,14.36,2.41,21.52,.17,1.38,.15,2.78,.2,4.18,0,.06-.1M 4,.15-.24,.19-.11,.04-.33,.09-.37,.05-.54-.47-1.11-.94-1.58-1.46-4.41-4.89-8.8-9.8-13.21-14.69-4.26-4.71-8.56-9.41-12.84-14.11-4.63-5.33-2.67-.04-2.35,3.29,1.15,7.8,2.32,15.59,3.07,23.44-.13,.93-1.38-.06-1.69-.44-8.34-8.74-16.72-17.44-25.09-26.15-.32-.33-.73-.61-1.12-.9-.51-.11-.53,.66-.54,1.01,.42,3.21,.87,6.42,1.32,9.63,.85,6.21,1.76,12.41,2.61,18.62,.14,1.07,.17,2.14,.23,3.21,0,.09-.1,.26-.15,.26-1.33,.05-2.1-1.55-3.12-2.26-6.96-6.72-13.9-13.45-20.86-20.17-.67-.57-1.18-1.37-2.21-1.21,.49,6.22,1.63,12.41,2.32,18.M 62,.71,5.57,1.38,11.14,2.05,16.72,.03,.29-.1,.6-.2,.89-.01,.04-.3,.09-.37,.05-.53-.31-1.09-.61-1.53-.99-5.01-4.37-9.98-8.76-14.99-13.12-2.18-1.9-4.41-3.77-6.65-5.63-.12-.1-.5-.04-.75,0-.25,.29-.13,.85-.14,1.24,.9,8.8,2.03,17.58,2.79,26.4,.32,3.54,.62,7.09,.91,10.64-.08,.56,.33,1.65-.53,1.68-.73-.03-1.31-.7-1.91-1.06-6.23-4.76-12.46-9.54-18.69-14.3-.47-.36-.88-.81-1.62-.85-1.24,.09-.11,5.37-.25,6.53,.84,12.47,1.73,24.94,2.05,37.43-.36,1.37-2.43-.44-3.12-.77-5.39-3.4-10.72-6.89-16.12-10.27-.98-.47-1.62-1.48-3.04-1.27M -.68,.78-.32,1.65-.31,2.48-.03,15.71,1.01,31.48,.09,47.15-.03,.22-.7,.54-.93,.44-.94-.42-1.88-.83-2.79-1.28-5.99-2.87-11.79-6.14-17.89-8.78-.29-.12-.87,.17-.89,.44-.87,18.71-1.35,37.49-3.06,56.14-.05,.27-.61,.52-.94,.42-6.49-2.08-12.95-4.25-19.43-6.36-.85-.13-2.26-.99-2.85-.05-2.31,16.79-3.74,33.69-6.3,50.46-.61,4.39-1.21,8.78-1.83,13.16-.11,.75-.25,1.5-.95,2.08,0,0,.14-.08,.14-.08-7.67-1.61-15.52-2.62-23.25-4.05-1.54-.33-.71-2.1-.72-3.17,3.53-22.15,7.72-44.3,9.64-66.64l-.11,.12c7.14,1.57,14.01,4.43,21.06,6.46,.63,M .14,1.66,.67,2.13,.02,2.3-19.99,3.22-40.13,4.45-60.22l-.14,.04c6.59,3.14,13.17,6.29,19.76,9.43,.61,.23,1.5,.89,2.09,.33,1.33-16.42,.68-33.17,.6-49.7-.11-3.15,.69-2.68,3.01-1.35,3.75,2.28,7.48,4.59,11.22,6.88,2.14,1.31,4.28,2.61,6.46,3.88,.25,.14,.73,.02,1.24,.02-.16-15.42-1.62-30.78-2.21-46.18-.07-.59,.84-.51,1.16-.34,6.12,4.16,11.89,8.74,17.85,13.11,.78,.58,1.65,1.09,2.52,1.6,.09,.05,.57-.14,.6-.26,.11-5.56-.89-11.17-1.23-16.74-.77-7.83-1.66-15.66-2.41-23.5-.21-2.8,1.76-.73,2.85,.08,5.96,4.98,11.91,9.96,17.88,14.9M 4,.78,.51,1.47,1.52,2.51,1.27-.45-7.57-1.94-15.21-2.77-22.8-.52-3.74-1.08-7.48-1.57-11.23-.15-1.17-.14-2.35-.19-3.53,0-.06,.14-.15,.24-.19,.6-.27,1.34,.74,1.83,1.05,6.95,6.44,13.89,12.89,20.84,19.33,.55,.47,1.04,1.11,1.86,.91-.66-8.49-2.56-17.09-3.7-25.61-.46-2.88-.94-5.76-1.39-8.65-.03-.18,.12-.38,.18-.57,1.05,.15,1.67,.89,2.35,1.6,7.28,7.34,14.56,14.68,21.85,22.01,.84,.66,1.43,1.88,2.63,1.78-1.04-10.57-3.4-21.13-4.91-31.69h-.09Z"/><path class="cls-2" d="M1074.53,313.27c-19.6,1.34-38.67,3.19-58.19,5.13-.36,0-.76-.M 41-.6-.65,.55-.86,1.08-1.73,1.67-2.58,2.63-3.88,5.53-7.6,7.99-11.59,.2-1.25-3.05-.39-3.83-.44-6.36,.9-12.72,1.84-19.08,2.73-9.42,1.32-18.75,2.96-28.07,4.64-.53,.1-1.05,.12-1.53-.13,.04-.79,.66-1.39,1.15-2.02,2.81-3.67,5.64-7.34,8.45-11.01,.39-.72,2.66-2.67,.83-2.8-15.35,2.52-30.58,5.93-45.7,9.48-.51,.13-1.04,.24-1.53-.08,0-.81,.69-1.38,1.18-2,3.35-4.16,6.76-8.3,10.12-12.46,.3-.55,2.09-2.27,.94-2.37-13.6,2.96-27.04,6.58-40.41,10.19-.75,.1-3.98,1.42-3.69,.2,4.68-5.97,9.95-11.46,14.66-17.41-1.21-.59-2.55,.3-3.81,.47-8M .43,2.24-16.74,4.75-25.06,7.25-4.16,1.25-8.31,2.5-12.48,3.73-.18,.05-.46-.09-.68-.18,.26-1.16,1.52-2.04,2.24-3.01,4.74-5.5,9.8-10.74,14.33-16.4,.26-1.06-3.22,.45-3.79,.5-10.01,3.18-20.07,6.25-29.93,9.71-1.6,.56-3.25,1.02-4.9,1.49-.17,.05-.46-.11-.66-.21,4.96-6.6,11.32-12.6,16.93-18.84,1.59-1.82,3.99-3.87-.38-2.46-10.63,3.37-21.3,6.68-31.73,10.46-2.35,.72-5.09,2.14-1.9-1.33,6.71-7.52,14.17-14.59,20.54-22.33-.56-.31-1.06-.21-1.57-.04-5.21,1.75-10.44,3.48-15.64,5.25-5.57,1.9-11.13,3.84-16.69,5.74-.36,.07-1.16,.29-1.36M -.08,2.81-4.11,6.63-7.56,9.95-11.34,4.48-4.71,9.09-9.35,13.64-14.03,.65-.67,1.49-1.25,1.72-2.15-1.52-.29-3.05,.68-4.53,1-8.2,2.73-16.4,5.47-24.6,8.2-1.23,.27-3.11,1.16-1.48-.88,7.95-9.16,16.4-17.91,24.69-26.79,.8-.86,1.55-1.75,2.31-2.63,.06-.07,.07-.27,.03-.29-.23-.08-.52-.22-.71-.16-8.56,2.56-17.15,5.06-25.64,7.85-.61,.2-1.3,.32-1.69,.81h.04c-.35-.49-.52-1-.07-1.5,3.09-3.38,6.13-6.8,9.31-10.12,7.35-7.68,14.77-15.31,22.16-22.96,.36-.49,1.27-.89,.83-1.58-.78-.27-2.18,.38-3.06,.49-7.15,1.86-14.29,3.73-21.44,5.6-1.24,M .25-2.64,.94-3.84,.24l.06,.03c13.14-13.08,26.01-26.48,39.39-39.35,2.97-2.8-1.61-1.14-3.03-1.02-7.06,1.4-14.11,2.81-21.17,4.21-3.73,.63-1.9-.81-.31-2.5,15.15-15.12,30.65-29.78,46.31-44.44,.34-1.2-1.82-.52-2.49-.62-6.3,.49-12.58,1.12-18.88,1.68-4.14,.35-4.43,.14-1.26-2.82,5.72-5.44,11.43-10.89,17.18-16.32,12.01-11.35,24.3-22.51,36.7-33.59,.94-.82,1.79-1.82,3.18-1.8,7.95-.03,15.9,.02,23.86,.03,1.57,.19,2.03,.37,.55,1.79-19,16.29-38.19,32.32-56.18,49.56-.12,.12-.02,.4,.03,.6,.01,.06,.21,.11,.33,.12,6.68-.19,13.35-1.41,M 20.02-2.01,1.47-.17,2.93-.39,4.4-.52,.59-.05,1.4-.37,1.74,.3,.24,.46-.34,.77-.69,1.08-15.87,13.72-31.07,27.96-46.21,42.4-2.78,2.74,4.16,.44,5.15,.42,7.2-1.36,14.41-2.72,21.62-4.07,2.1-.05-.68,1.87-1.17,2.44-12.68,11.35-24.88,23.19-37.04,35.06-.49,.48-1.15,.9-1.14,1.62,.67,.26,1.3,.08,1.95-.08,5.4-1.35,10.79-2.69,16.19-4.03,3.47-.86,6.95-1.72,10.42-2.57,.62-.14,1.29-.32,1.87,.03-10.89,11.54-23.73,21.86-34.68,33.57-.91,1.72,2.55,0,3.22-.02,10.01-2.62,20.03-6.22,30.05-8.32,.08,.16,.2,.41,.11,.51-.72,.78-1.47,1.54-2.24M ,2.29-9.15,9.06-18.63,17.81-27.6,27.04-.1,.12-.02,.35,.03,.52,.02,.05,.25,.11,.35,.09,10.62-3.07,21.16-6.4,31.75-9.56,.98-.13,2.4-1.06,3.26-.42,0,.59-.93,1.1-1.28,1.59-7.58,7.57-15.16,15.14-22.73,22.71-.37,.53-2.02,1.89-.93,2.02,6.76-1.65,13.3-4.11,19.98-6.04,5.15-1.58,10.34-3.1,15.51-4.63,.34-.1,.77-.05,1.15-.01,.72,.16-.74,1.47-1.08,1.83-6.82,7.18-14.25,13.99-20.53,21.57,.67,.39,1.23,.21,1.9,0,3.51-1.1,7.03-2.17,10.52-3.31,7.73-2.52,15.58-4.79,23.46-6.99,.89-.25,1.75-.58,2.73-.4l.1,.08c-.37,1.67-2.16,2.67-3.19,4-M 5.05,5.7-10.94,10.85-15.51,16.88-.01,.03,.23,.2,.3,.18,1.02-.23,2.06-.45,3.06-.74,12.39-3.61,24.86-7.15,37.42-10.29,.63-.09,.95,.22,.55,.74-5.24,6.26-11.4,11.93-16.21,18.47-.02,.03,.2,.21,.28,.2,.64-.1,1.3-.2,1.92-.37,11.85-3.24,23.89-6.02,35.85-8.96,4.83-1.09,6.24-1.26,6.15-.93-.41,1.65-2.03,2.74-3.14,4.06-3.5,4.22-7.35,8.21-10.76,12.51-.81,1.45,1.45,.96,2.21,.75,14.16-3.16,28.37-6.08,42.66-8.7,.73-.07,1.59-.39,2.22,.13,.08,.05,.11,.23,.06,.3-.4,.56-.81,1.12-1.25,1.66-2.93,3.62-5.88,7.22-8.81,10.84-.77,1.19-2.2,2.M 17-2.27,3.61,10.78-1.17,21.58-3.68,32.44-5,6.23-.83,12.45-1.94,18.72-2.5,.38-.02,.79,.39,.62,.63-3.36,4.81-6.93,9.48-10.37,14.24-.29,.3-.52,.86-.09,1.13,2.94,.25,5.87-.42,8.79-.69,16.27-1.9,32.63-3.37,48.99-4.3l-.08-.12c-3.55,5.37-6.81,10.99-10.53,16.23l.1-.05Z"/><path class="cls-2" d="M1005,333.95c-7.9,1.23-15.88,2.1-23.78,3.26-8.96,1.36-17.93,2.67-26.81,4.34-1.02,.11-2.12,.52-3.11,.09-.11-.69,.39-1.22,.76-1.79,2.36-3.61,4.72-7.22,7.09-10.83,.31-.48,.65-.94,.48-1.51,.05-.04,.11-.08,.16-.12-.25-.02-.27,.03-.05,.17-M .93-.37-1.86-.1-2.76,.07-2.49,.46-4.96,1-7.45,1.48-12.69,2.13-25.23,6.02-37.76,7.96-.09-.17-.22-.4-.14-.53,.46-.78,.94-1.55,1.48-2.29,2.47-3.46,4.96-6.91,7.43-10.38,.27-.53,1.34-1.71,.35-1.89-1.94,.43-3.91,.82-5.82,1.33-7.16,1.88-14.33,3.76-21.46,5.72-5.49,1.45-10.82,3.36-16.34,4.68-.17,.02-.5-.2-.44-.39,3.16-5.42,7.67-10.04,10.84-15.45,.05-.17-.29-.43-.45-.4-.9,.23-1.79,.47-2.67,.72-12.18,3.47-24.04,7.6-36.01,11.49-.69,.25-1.54,.63-2.24,.38-.39-.19-.14-.56,.05-.82,3.88-5.44,8.1-10.65,12.04-16.05-1.02-.71-2.29,.23-M 3.38,.45-10.87,3.77-21.74,7.55-32.4,11.69-1.91,.56-4.98,2.24-2.4-1.14,4.24-5.5,8.56-10.94,12.76-16.48,.18-.24,.14-.42-.13-.52-8.97,2.61-17.75,6.74-26.64,9.89-2.67,1.03-5.28,2.14-7.93,3.21-.52,.21-1.04,.12-1.49-.17l-.1,.08c4.81-6.28,9.19-12.84,14.29-19.01,.36-.45,.8-.87,.61-1.46l.22-.1-.13,.18c-2.56,.01-4.88,1.76-7.32,2.49-7.6,2.84-14.88,6.74-22.39,9.41-.09-.18-.27-.44-.18-.57,2.31-3.28,4.6-6.57,6.99-9.81,2.8-3.8,5.68-7.56,8.52-11.34,.27-.36,.45-.77,.65-1.16,.03-.07-.06-.2-.14-.26-.07-.06-.24-.12-.31-.1-.98,.35-1.97M ,.69-2.91,1.09-8.19,3.48-16.35,7.04-24.56,10.49-.35,.19-.85-.02-.73-.4,5.81-8.32,12.34-16.14,18.45-24.25,1.59-2.23,.44-1.63-1.34-1.1-7.22,2.89-14.44,5.77-21.49,8.92-1.8,.67-6.28,3.37-3.18-.67,7.1-9.14,14.34-18.18,21.37-27.36,.06-.07,.06-.26,0-.28-1.08-.51-2.2,.48-3.26,.73-8.01,2.95-15.81,6.75-23.92,9.26l.07,.09c-.36-1.18,.84-1.92,1.41-2.83,7.48-9.53,15.02-19.03,23.02-28.29,.73-1.08,2.21-1.92,2.07-3.32,.22,.04,.47,.08,.41-.21-.27-.11-.38-.01-.33,.28-.69-.19-1.32,0-1.94,.21-5.76,2.05-11.55,4.06-17.28,6.2-6.89,2.49-7.M 87,2.72-7.72,2.29,9.18-12.92,20.39-24.68,30.78-36.89,1.77-1.97,3.61-3.75-.67-2.54-6,1.55-12.01,3.11-18.01,4.66-.76,.2-1.53,.43-2.33,.09l.11,.05c-.06-.59,.37-1.01,.75-1.45,12.31-14.91,25.71-28.93,38.29-43.62,.27-.38-.4-.53-.63-.52-7.62,1.35-15.22,2.76-22.83,4.14-.12,.02-.33-.02-.37-.08-.4-.52,.14-.94,.45-1.35,11.46-13.07,23.07-26,35.2-38.66,3.28-3.42,6.52-6.86,9.76-10.31,.33-.51,1.56-1.38,.69-1.83-7.88,.17-15.77,1.45-23.65,1.98-1.53-.36,.28-1.69,.71-2.29,17.14-19.2,35.38-37.84,53.65-56.27,.71-.74,1.53-1.15,2.72-1.15M ,7.54-.2,15.09-.14,22.64-.13,2.29,.24,3.97-.28,1.25,2.28-14.76,13.92-29.16,28.21-43.53,42.5-3.55,3.52-6.95,7.14-10.41,10.72-.48,.62-1.54,1.35-.25,1.72,7.36-.41,14.72-1.37,22.07-1.99,3.09-.21,1.75,.84,.36,2.35-6.14,6.14-12.39,12.22-18.43,18.42-8.94,9.18-17.74,18.44-26.59,27.67-.36,.41-.92,.8-.57,1.37,7.42-.52,15.01-2.51,22.45-3.65,.51-.09,1.02-.18,1.49,.1,.01,.72-.63,1.16-1.11,1.66-4.7,4.86-9.44,9.69-14.09,14.57-8.66,8.93-16.9,18.18-25.39,27.17,.1,.03,.19,.06,.27,.08l-.29-.13c1.85,.87,3.87-.52,5.73-.84,6.72-1.89,13.M 45-3.78,20.18-5.66,.5-.07,1.99-.6,1.99,.15-10.35,11.92-21.63,23.27-31.74,35.38-.45,.52-1.08,.98-1.09,1.68,0,.07,.18,.22,.24,.21,8.82-2.32,17.37-5.76,26.16-8.31,.52-.17,1-.29,1.62,.07-8.66,10.16-17.76,19.96-26.28,30.16-.53,.62-.94,1.29-1.4,1.95-.04,.17,.32,.39,.47,.35,8.21-2.56,16.19-5.82,24.31-8.65,1.3-.32,2.81-1.43,4.11-.62l.09-.09c-3.59,3.53-6.7,7.5-9.97,11.3-4.41,5.26-8.79,10.54-13.18,15.82-.18,.31-.69,.81-.35,1.11,.08,.07,.25,.15,.33,.13,.99-.32,2-.62,2.96-1,7.84-3.07,15.64-6.2,23.62-9.02,2.6-.93,2.23-.19,.81,1M .58-6.11,7.3-12.26,14.59-18.1,22.1-.3,.38-.44,.77-.15,1.19-.19-.16-.28-.15-.29,.03l.23-.11c9.71-3.14,19.11-7.48,28.9-10.71,.98-.35,1.98-.67,2.98-.96,.17-.05,.46,.12,.66,.22,.05,.03,.02,.23-.05,.3-.75,.89-1.51,1.78-2.28,2.66-5,5.74-10.01,11.48-15.01,17.23-.54,.62-1.04,1.25-1.51,1.91-.09,.13,.06,.38,.15,.56,.45,.16,1.01-.19,1.47-.3,7.09-2.61,14.2-5.19,21.28-7.83,4.64-1.73,9.33-3.34,14.11-4.81,.19-.06,.48,.09,.71,.18,.04,.01,.01,.2-.04,.29-3.6,4.73-7.85,9-11.64,13.58-1.68,1.95-3.27,3.95-4.89,5.93-.31,1.45,3.28-.48,3.9M 8-.54,7.42-2.56,14.82-5.14,22.25-7.67,4.09-1.39,8.22-2.69,12.34-4.01,.2-.06,.56-.04,.7,.07,.14,.11,.19,.42,.09,.56-.46,.65-.98,1.29-1.49,1.92-3.62,4.41-7.25,8.82-10.87,13.23-.59,.72-1.18,1.44-1.71,2.19-.09,.12,.05,.37,.14,.54,12.47-3.2,25.02-7.91,37.64-11.35,1.24-.21,2.55-1.11,3.78-.64-3.51,5.85-8.83,10.95-12.61,16.77,1.38,.49,2.58-.42,3.93-.64,12.97-3.58,25.93-7.21,39.12-10.27,.72-.17,1.23-.35,1.93,.13-3.44,4.77-7.12,9.37-10.65,14.07-.29,.47-1,1.33-.18,1.6,13.6-2.78,27.19-6.15,40.93-8.71,2.09-.19,4.65-1.41,6.65-.7M 7,.08,.7-.44,1.21-.84,1.77-2.96,4.23-6.2,8.28-8.95,12.64-.06,.21,.27,.72,.59,.67,2.64-.42,5.28-.84,7.92-1.27,14.51-2.38,29.05-4.83,43.67-6.4,.34,0,.72,.44,.57,.69-3.01,4.83-6.13,9.59-9.24,14.35l.1-.06Z"/><path class="cls-2" d="M475.58,1023.98l.03,.03-.12,.03s.01,0,.01-.01h.01s.07-.04,.07-.05Z"/><path class="cls-2" d="M615.21,1028.59l-4.17,12.74c-3.46,1.3-6.94,2.48-10.52,3.47-.12,.04-.55-.26-.53-.35,1.02-3.36,2.57-6.56,3.81-9.84,.16-.41,.23-.84,.34-1.26,.06-.24-.52-.59-.84-.5-12.94,4-25.86,7.96-39,11.43-.49,.13-1.49M ,.3-1.72-.28,.71-3.73,3.03-7.12,3.81-10.82-.01-.17-.3-.47-.43-.46-.8,.08-1.59,.18-2.37,.36-6.21,1.41-12.41,2.83-18.62,4.25-6.47,1.49-13.05,2.6-19.58,3.86-1.14,0-5.48,1.7-5.06-.23,1.17-3.3,2.45-6.59,3.53-9.92,.2-.61-.3-.97-1.18-.88-15.53,2.12-31.02,4.55-46.66,5.73-1.17,.11-2.4,.41-3.57-.11,.58-3.64,2.4-7.04,3.43-10.6,.15-.42,.09-.82-.27-1.17,16.99-1.91,34.11-3.14,51.01-5.93,1.53-.17,1.14,1.35,.84,2.24-.87,2.93-1.86,5.83-2.68,8.76,.69,.71,1.74,.31,2.6,.26,14.1-2.39,27.95-5.41,41.81-8.7,1.49-.13,.96,1.08,.7,1.93-.81,2M .93-2.1,5.77-2.51,8.79-.02,.15,.26,.33,.47,.56,13.35-3.23,26.37-7.41,39.43-11.41,.49-.14,1.13,.3,1.03,.69-.93,3.37-2.29,6.62-3.15,10.01-.1,.37,.27,.73,.64,.62,3.2-.9,6.27-2.15,9.41-3.24Z"/><path class="cls-2" d="M642.45,1019.12c-.02,.12-.04,.23-.06,.35h-.01c-1.9,.46-3.81,.8-5.72,1.01,1-.22,5.59-2.9,5.79-1.36Z"/><path class="cls-2" d="M708.53,1043.42h.02l-.05,.03s-.02,.01-.03,.02c.02-.02,.04-.04,.06-.05Z"/><path class="cls-2" d="M765.03,1034.67c-6.39,4.46-12.76,8.92-19.15,13.36-.38,.28-1.13,.94-1.63,.42-.21-.67,.41-M 1.46,.61-2.14,2.25-5.17,4.28-10.42,6.04-15.72,0-.28-.13-.58-.28-.85-.02-.03-.53,.03-.72,.14-7.48,4.86-14.47,10.43-22.1,15.09-.32,.14-.87-.15-.66-.52,1.92-5.38,4.52-10.56,6.09-16.04,0-.52-.94-.3-1.19-.09-7.8,5.08-15.86,9.8-23.51,15.09-1.11-1.07,.32-2.72,.63-3.93,1.46-3.22,2.43-6.56,3.61-9.85,.14-.59,.49-1.34-.18-1.72-5.4,2.59-10.31,6.59-15.69,9.5,6.99-5.44,13.46-11.5,19.32-17.98-.11,1.01-3.04,6.87-1.18,6.49,7.41-4.58,14.7-9.37,21.77-14.43,.44-.2,1.68-1.26,1.87-.45-.88,4.25-2.59,8.34-3.76,12.53-.08,.6-1.01,2.81,.13,2M .42,4.24-2.68,8.15-5.85,12.25-8.76,2,2.23,4.05,4.41,6.15,6.55-1.3,3.75-2.03,5.05,2.06,2.06,3.08,3.04,6.24,5.99,9.52,8.83Z"/><path class="cls-2" d="M776.09,1043.62c-21.82,14.8-18.63,16.92-9.27-7.41,3.01,2.56,6.1,5.04,9.27,7.41Z"/><path class="cls-2" d="M771.18,1312.07s.02-.03,.03-.05c.02,0,.05,0,.07,0l-.1,.06Z"/><path class="cls-2" d="M821.24,1148.13c-6.14,1.7-11.93,4.94-17.95,7.19-2.32,.76-1.92,.26-1.16-1.66,6.85-13.65,14-27.17,19.58-41.3,0-.07-.19-.23-.24-.21-.51,.12-1.05,.21-1.49,.43-5.69,2.81-11.1,5.82-16.89,8.4M 6-.52-1.32,.52-2.25,.96-3.43,5.19-11.43,11.41-22.95,15.25-34.62-1-.24-1.81,.68-2.67,1.05-4.25,2.48-8.47,4.97-12.72,7.44-.74,.42-1.4,.98-2.39,1.04-.36-.42-.11-.82,.07-1.22,3.74-8.75,7.49-17.5,11.19-26.27-1.45-.61-2.89-1.26-4.31-1.92-3.55,2.24-7.12,4.82-10.84,6.65-.11-.17-.29-.37-.25-.54,1.26-3.22,2.76-6.38,4.01-9.6-7.47-3.89-14.63-8.32-21.46-13.19-2.33,5.97-5.17,11.78-7.6,17.73,.1,.45,1.08,.05,1.32-.09,3.33-2.19,6.62-4.41,9.95-6.6,1.86-1.24,3.76-2.44,5.66-3.64,.16-.07,.86,.04,.78,.39-.19,.63-.36,1.26-.62,1.87-3.29,7M .63-6.6,15.25-10.39,22.73-1.18,2.35-2,4.02,1.31,1.99,4.92-3,9.79-6.06,14.74-9.03,.09-.05,.33-.06,.38,0,.64,.47,.09,1.16-.11,1.73-4.41,9.7-8.75,19.45-13.65,28.99-.48,1.34-.01,1.35,1.12,.89,4.43-2.45,8.84-4.93,13.26-7.39,.99-.55,1.99-1.1,3.01-1.62,.13-.06,.46,.09,.67,.17,.08,.04,.14,.2,.11,.28-.23,.61-.43,1.24-.73,1.84-3,6.11-5.97,12.22-9.05,18.31-2.61,5.18-5.35,10.33-8.04,15.5-.13,.25-.07,.43,.25,.53,5.85-1.96,11.31-5.42,17-7.94,.55-.27,1.07-.59,1.78-.43,.25,.9-.31,1.62-.69,2.39-6.58,13.2-13.64,26.25-20.92,39.2,.87,M .65,1.71,.05,2.6-.22,4.56-1.85,9.11-3.72,13.67-5.58,.97-.36,4.56-2.26,4.21-.71-8.07,15.68-17.06,31-26.08,46.21-.93,1.88-.09,1.49,1.39,1.29,6.4-1.96,12.73-4.16,19.18-5.98,.32-.03,.8,.26,.55,.62-9.79,18.13-20.65,35.59-31.66,53.05-.96,1.53-1.54,2.45,.98,1.89,6.91-1.4,13.74-3.2,20.7-4.32,.3-.05,.67,.46,.53,.72-12.37,21.41-26.33,42.01-39.73,62.83-.14,.24,.29,.66,.67,.64,1.07-.06,2.16-.09,3.22-.21,7.18-.8,14.34-1.62,21.51-2.44,13.34-21.74,26.41-43.54,38.57-65.73,.22-.53,.27-1.24-.58-1.2-7.15,1.53-14.29,3.08-21.46,4.55-.2M ,.04-.48-.12-.69-.23,10.07-19.03,21.67-37.6,30.9-57.1-.92-.75-2.32,.17-3.37,.35-5.38,1.71-10.75,3.44-16.13,5.15-.59,.12-1.7,.68-1.98-.09,7.82-15.33,16.39-30.4,23.66-45.97,.44-.9,.85-1.81,1.26-2.72,.17-.39,.08-.89-.15-.9Zm-19.87-25.54c-.07,.02-.15,.01-.23,0-.03-.19,.07-.25,.28-.18,.01,0-.01,.17-.05,.18Z"/><path class="cls-2" d="M613.73,997.33s-.09,0-.13-.01c.01-.02,.01-.05,.02-.07,0-.01,.08,.05,.11,.08Z"/><path class="cls-2" d="M675.92,992.53c-.06,3.1-.92,6.2-.92,9.29-1.09,.92-2.2,1.82-3.31,2.71-6.94,3.58-13.89,7.13M -21.19,10.23-1.9,.81-3.81,1.6-5.75,2.36-.31,.12-.89,.14-1.1-.01-.23-.17-.31-.6-.24-.89,.3-1.38,.67-2.75,1.01-4.12,.38-1.58,.78-3.17,1.11-4.76,.05-.27-.09-.72-.33-.83-.27-.12-.79-.03-1.12,.1-4.11,1.62-8.2,3.26-12.29,4.91-6.86,2.76-13.93,5.15-20.93,7.66-.47,.18-1.44,.42-1.72-.1,.15-1.07,.32-2.13,.56-3.19,.44-2.2,1.42-4.37,1.28-6.65-.39-.68-1.47-.18-2.08-.07-12.08,3.79-24.1,7.49-36.43,10.57-.82,.19-1.44-.16-1.3-.74,.74-2.95,1.39-5.91,2.01-8.9,.19-.91-.29-1.28-1.28-1.02-13.78,3.43-27.84,6.12-41.9,8.41-.68,.19-1.73,.15-M 1.96-.61-.6-3.19-1.4-6.36-1.99-9.55-.14-.9,.3-1.35,1.52-1.55,14.34-1.88,28.37-5.18,42.49-7.77,1.78,2.61,1.97,5.78,2.97,8.7,.15,.79,.48,1.72,1.51,1.59,13.34-2.74,26.07-7.52,39.06-10.98-.96,3.07-1.16,6.33-1.71,9.48-.04,.29,.16,.6,.24,.89,11.7-2.98,23.13-8.52,34.44-12.66,.31-.11,.84,.22,.81,.51-.11,.97-.2,1.93-.35,2.89-.31,2.14-.65,4.27-.98,6.4-.04,.31,.44,.62,.78,.51,9-3.62,17.82-7.93,26.3-12.57,.79-.34,2.44-1.65,2.79-.24Z"/><path class="cls-2" d="M733.81,1000.69c-1.89,1.37-3.81,2.71-5.74,4.03,1.44-2.03,2.85-4.09,4.1M 7-6.2,.52,.73,1.04,1.45,1.57,2.17Z"/><path class="cls-2" d="M744.13,993.05h-.03s0-.02,.01-.02l.02,.02Z"/><polygon class="cls-2" points="780.21 992.09 780.13 992.09 780.13 992.08 780.21 992.09"/><path class="cls-2" d="M822.93,1306.26l.03-.06s.04,0,.06,0l-.09,.07Z"/><path class="cls-2" d="M835.2,1072.82c-4.1,2.48-8.21,4.99-12.31,7.48-.64,.31-1.26,.95-2.01,.6-.09-.03-.17-.2-.14-.28,1.19-3.7,2.73-7.28,4.09-10.94,3.42,1.16,6.88,2.21,10.37,3.14Z"/><path class="cls-2" d="M842.68,1014.97c-1.16,5.25-2.72,10.4-4.23,15.57-7.8M 5-2.64-15.51-6.14-22.87-10.39,3.4-10.36,3-8.7-4.63-2.78-2.08-1.32-4.14-2.68-6.16-4.11,1.05-3.57,2.11-7.13,3.16-10.69,.12-.41,.28-.81-.04-1.21-.92,.04-1.38,.61-1.93,1.07-2.47,2.06-4.94,4.14-7.41,6.21-1.42-1.1-2.82-2.23-4.2-3.4,.9-3.29,1.69-6.59,2.53-9.89,.07-.59,.41-1.37-.27-1.7-.07-.05-.3-.04-.37,.02-2.69,2.01-5.19,4.25-7.8,6.36-5.66-5.26-11-10.96-15.89-16.98,3.31-2.63,7.19-6.88,10.57-8.94,.17,.14,.43,.33,.41,.47-.72,5.03-1.63,10.03-2.4,15.04,1.02,.38,2.01-.91,2.8-1.45,4.91-4.29,9.86-8.55,14.48-13.04,.6-.58,1.28-1.M 1,1.93-1.64,.14-.09,.58-.01,.63,.16-.22,5.61-1.69,11.09-2.92,16.58-.18,1.93,1.77-.07,2.38-.52,4.07-3.56,7.81-7.5,12.08-10.82,.14-.08,.56,0,.58,.22-.69,6.64-3.24,13.13-3.78,19.73,1.08,.11,1.72-.85,2.51-1.42,3.42-3.05,6.82-6.1,10.24-9.15,.65-.45,1.2-1.37,2.1-1.14,.07,0,.15,.2,.13,.29-1.24,7.6-4.1,14.91-5.42,22.47,0,.1,.09,.28,.16,.28,.92,.2,1.54-.66,2.2-1.12,3.4-2.91,6.78-5.84,10.18-8.75,3.33-2.94,2.13-.36,1.74,2.14-1.39,7.67-4.34,15.07-6,22.69,0,.25,.39,.32,.56,.21,4.9-3.26,9.35-7.12,14.07-10.63,.18-.09,.89-.16,.88,M .26Z"/><path class="cls-2" d="M842.75,1180.57c-.36,.8-.7,1.62-1,2.44-.05,.16,.15,.38,.28,.55,.03,.05,.24,.06,.35,.03,5.93-1.66,11.73-3.78,17.61-5.62,2.11-.56,3.57-1.43,2.27,1.61-8.54,19.88-17.55,39.53-27.03,59.01,.58,.39,1.1,.4,1.63,.28,3.25-.71,6.49-1.42,9.73-2.14,3.24-.72,6.48-1.46,9.73-2.16,.63-.14,1.3-.25,1.93,.36-10.76,24.14-22.81,47.86-35.29,71.27-7.59,.76-15.15,1.68-22.73,2.53-1.89-.04-3.24,.66-1.78-1.94,12.15-21.37,24.1-42.88,35.05-64.88,.26-.66,1.23-1.36,.35-2.02-.65-.49-1.52,.04-2.27,.2-6.36,1.36-12.7,2.8M 5-19.08,4.15-.59,.15-1.47-.02-1.11-.79,4.67-9.18,9.61-18.24,14.23-27.43,5.07-10.3,10.51-20.47,14.84-31.02-.39-.64-1.49-.15-2.08-.03-5.37,1.73-10.72,3.48-16.09,5.2-1.73,.41-4.13,1.73-2.48-1.27,8.17-16.29,15.97-32.6,22.93-49.3,.05-.15-.14-.38-.27-.54-.04-.06-.26-.06-.37-.03-5.66,2.18-11.19,4.72-16.79,7.03-1.05,.37-3,1.42-2.15-.66,6.53-14.22,13.02-28.42,18.51-43.01,0-.19-.08-.48-.25-.56-.18-.08-.54-.02-.75,.08-5.83,2.8-11.36,6.2-17.29,8.77-.42-.5-.27-.92-.1-1.32,5.18-11.81,10.19-23.78,14.5-35.89,4.53,1.11,9.13,2.01,13M .79,2.71-2.51,7.23-5.18,14.42-7.92,21.6-.13,.72-1,1.85-.17,2.33,.06,.05,.28,.04,.38,0,5.13-2.52,10.15-5.3,15.22-7.93,.66-.26,1.81-1.19,2.19-.2-.43,1.47-.85,2.94-1.39,4.38-5,13.75-10.65,27.33-15.84,40.98,.51,.74,1.7-.13,2.37-.28,5.65-2.19,11.05-5.15,16.8-6.95,.42,.37,.32,.8,.17,1.2-6.24,16.65-13.3,32.96-20.63,49.27Z"/><path class="cls-2" d="M378.87,529.22c.56-.16,1.04-.01,1.51,.21,4.55,1.9,8.89,4.8,13.7,5.88,.39-.7,.2-1.34,.08-1.97-.92-4.78-1.9-9.56-2.78-14.35-1.1-7.44-2.95-14.9-3.32-22.39,.02-.11,.43-.3,.59-.26,4.1M 9,1.34,8.14,3.32,12.24,4.9,.71,.17,1.84,.99,2.41,.26-.03-4.81-1.07-9.64-1.45-14.45-.95-8.89-1.83-17.8-2.27-26.73-.02-.42,.12-.84,.23-1.25,.01-.06,.25-.14,.35-.11,5.13,1.3,9.86,4.34,15.18,4.98l-.09-.08c.77,8.78,.97,17.64,1.92,26.42,.46,4.72,.97,9.43,1.48,14.15,.1,.96,.11,1.94,.66,2.84l.16-.13c-3.92,.15-7.86-2.3-11.67-3.25-.99-.34-1.97-.69-2.96-1.03-.29-.1-.84,.24-.83,.5,.75,8.47,2.28,16.88,3.78,25.28,.75,3.71,1.33,7.45,1.96,11.18,.24,1.53-.35,1.87-1.77,1.33-2.92-1.09-5.83-2.2-8.75-3.31-.92-.15-3.78-2.06-4.15-.87,.86M ,7.18,3.12,14.17,4.61,21.26,.95,4.64,2.68,9.19,3.27,13.87-1,.17-1.67-.22-2.36-.5-3.35-1.37-6.68-2.78-10.02-4.17-.96-.29-1.91-1.06-2.93-.7,0,0,.15-.17,.15-.17-.31,.91,0,1.8,.26,2.68,2.75,10.09,6.04,20.06,9,30.12-.46,.62-1.51,.05-2.09-.14-4.35-1.93-8.67-3.92-13.01-5.86-.17-.07-.48,.05-.7,.13-.1,.03-.2,.19-.18,.27,.21,.84,.41,1.69,.67,2.52,2.66,8.34,5.76,16.58,8.79,24.83,2.12,4.92,.69,3.72-2.98,2.03-3.78-1.87-7.54-3.75-11.32-5.62-.53-.16-1.21-.68-1.76-.44-.09,.07-.2,.19-.18,.27,.29,.94,.56,1.88,.92,2.8,3.22,8.1,6.46,1M 6.19,9.68,24.28,1.22,3.02,.17,2.37-2.08,1.36-3.82-2.02-7.63-4.04-11.42-6.09-3.74-2.02-4.3-2.25-4.35-1.89-.19,1.33,.67,2.46,1.16,3.67,2.84,7.07,6.06,14.03,9.39,20.96,.14,.29,.32,.59,.08,.9-.34,.42-1-.02-1.39-.1-6.1-3.07-12.42-5.87-18.09-9.65-.01,.25-.07,.28-.18,.09l.28-.03c-1.16,1.03,.25,2.48,.6,3.62,2.8,5.71,5.62,11.42,8.44,17.12,2.05,3.75-.24,2.24-2.42,1.11-5.53-2.88-10.9-5.96-16.2-9.1-.54-.19-2.75-1.83-2.89-.91,2.58,6.49,6.28,12.57,9.26,18.9,.4,.79,.72,1.61,1.06,2.42,.03,.08-.07,.2-.15,.28-.06,.06-.22,.13-.27,.11M -.81-.38-1.64-.73-2.41-1.16-7.55-4.02-14.6-9.16-21.99-13.05-.68,.56,.06,1.38,.26,2.03,2.91,5.79,5.84,11.58,8.76,17.37,.3,.6,.59,1.2,.87,1.81,.03,.07-.05,.23-.11,.25-1.13,.3-2.05-.81-3.02-1.25-8.28-5.11-16.33-10.55-24.41-15.94-.31-.23-.99-.69-1.28-.18,.1,.52,.15,1.06,.38,1.54,2.92,6.15,5.92,12.27,9.05,18.32,.2,.4,.41,.8-.03,1.3-11.14-6.7-21.54-14.54-32.13-22.04-1.57-.39-.35,1.42-.12,2.13,2.74,6.19,5.75,12.27,8.33,18.52,.05,.39-.6,.37-.79,.3-4.74-3.1-9.22-6.63-13.8-9.95-7.18-5.37-14.43-10.69-21.36-16.27-.69-.45-1.31-M 1.27-2.22-1.13-.06,0-.18,.2-.15,.28,.28,.83,.55,1.66,.89,2.48,2.19,5.32,4.4,10.63,6.59,15.94,.16,.75,1.07,1.71,.4,2.35-9.6-6.29-18.46-14.22-27.44-21.37-5.13-4.27-10.21-8.59-15.31-12.89-.37-.31-.72-.66-1.3-.7-.08,0-.26,.08-.26,.13,1.62,6.52,4.39,12.84,6.41,19.29,.06,.47,.57,1.14,.25,1.55-.22,.04-.55,.11-.67,.02-.9-.65-1.79-1.31-2.63-2-9.96-8.19-19.65-16.58-29.14-25.11-6-5.39-11.91-10.85-17.87-16.27-.42-.39-.78-.88-1.72-.76,.93,6.06,2.89,12,3.68,18.07-.75,.11-1.14-.16-1.5-.49-13.66-12.25-27.17-24.79-40.26-37.53-5.81-M 5.66-11.51-11.39-17.25-17.11-.7-.61-1.19-.54-1.27,.2,.64,5.79,1.38,11.58,2.07,17.36,.04,.31-.04,.64-.1,.95-.07,.15-.5,.24-.64,.15-17.87-16.53-34.81-34.26-51.59-51.8-5.37-5.66-10.64-11.39-16.01-17.06-.95-1-1.39-2.02-1.38-3.27,.04-6.14,0-12.28,0-18.42,.27-1.41,1.56-.24,2.01,.4,18.57,20.64,37,41.16,56.55,60.99,2.49,2.54,4.99,5.08,7.52,7.6,.2,.2,.67,.22,1.08,.35-.08-6.31-1.34-12.47-1.83-18.75,0-.14,.29-.3,.48-.41,16.11,15.82,31.85,32.87,48.62,48.61,2.58,2.49,5.24,4.92,7.86,7.38,1.32,.93,.95-1.3,.75-1.97-1.3-6.26-3.66-1M 2.72-4.3-18.93,.71-.05,1.3,.74,1.84,1.11,4.15,3.97,8.25,7.96,12.41,11.92,10.83,10.32,22,20.39,33.32,30.36,.55,.42,1.07,1.07,1.86,.94-1.35-6.29-4.03-12.73-5.87-19.06-.26-.82-.66-1.66-.17-2.52l-.06,.1c.73,.1,1.11,.57,1.56,.96,12.63,11.29,25.31,22.36,38.6,33.06,.61,.47,1.25,1.3,2.18,1.18,.32-.68-.17-1.27-.39-1.86-1.19-3.2-2.47-6.37-3.68-9.56-1.17-3.09-2.29-6.19-3.41-9.29-.07-.18,.06-.41,.1-.62,.93,.02,1.54,.54,2.18,1.13,2.81,2.32,5.61,4.65,8.45,6.95,8.55,6.62,16.69,14.05,25.84,19.92,.37-.45,.17-.84,0-1.24-2.15-4.99-4.M 3-9.97-6.41-14.96-.73-1.73-1.35-3.49-1.98-5.24-.04-.12,.19-.33,.34-.47,9.91,6.89,19.42,14.94,29.66,21.81,.49,.32,1.29,1.18,1.94,.69-1.67-5.12-4.42-9.89-6.48-14.87-.95-2.12-1.83-4.27-2.71-6.41-.07-.17,.12-.4,.18-.6,.52,.05,.96,.23,1.36,.56,6.99,4.9,13.96,9.81,20.96,14.7,1.68,1.04,3.36,2.75,5.36,3.13,.08-.07,.18-.21,.15-.28-.32-.82-.63-1.64-1-2.44-2.72-5.96-5.46-11.92-8.18-17.89-.19-.65-.91-1.47-.29-2.05,7.41,4.18,14.64,9.52,22.02,14.04,.61,.32,1.24,.97,1.99,.64,.33-.33-.2-1.09-.31-1.51-3.11-7.22-6.75-14.25-9.45-21.6M 3,0-.2,.5-.61,.78-.41,6.41,4.4,12.81,8.6,19.7,12.36,1.94,.97,1.7,.06,1.08-1.47-3.21-7.76-6.43-15.52-9.64-23.29-.2-.81-1.11-1.99-.69-2.75,.35-.21,.75-.03,1.04,.15,5.84,3.86,11.85,7.46,17.8,11.16,.33,.15,1.15,.55,1.35,.17-.02-.31-.03-.62-.14-.91-1.51-3.91-3.07-7.8-4.56-11.71-2-5.25-3.95-10.51-5.91-15.77-.08-.45-.49-1.22-.13-1.55,.21-.08,.53-.19,.67-.12,5.08,2.79,10,5.85,15.04,8.72,.75,.32,1.6,.97,2.43,.94,.43-.39-.12-1.33-.2-1.84-3.42-9.83-7.38-19.55-9.94-29.57,.11-.87,1.5,.12,1.95,.23,4.83,2.55,9.47,5.43,14.48,7.62,M .27,.12,.61-.06,.59-.29-2.72-10.97-6.71-21.67-9.38-32.67-.07-1.64,2.6,.29,3.26,.55,3.66,1.81,7.33,3.62,11.01,5.41,.52,.07,1.85,1.04,2.02,.2-1.21-6.98-3.5-13.92-5.02-20.89-.98-4.01-1.86-8.04-2.71-12.07-.2-.93-.57-1.9-.07-2.86l-.08,.08Z"/><path class="cls-2" d="M187.62,673.04c-.45,.45-.59,.97-.47,1.51,.42,1.91,.85,3.81,1.3,5.72,.84,3.6,1.69,7.19,2.52,10.79,.02,.09-.08,.27-.15,.28-1,.25-1.74-.81-2.51-1.28-13.39-10.92-26.78-21.85-39.64-33.18-6.43-5.66-12.82-11.35-19.23-17.03-.86-.56-1.54-1.82-2.67-1.64-.07,0-.18,.16-.1M 8,.24,.14,5.82,1.35,11.57,2.03,17.35,.1,.77-.07,1.17-.45,1.06-26.11-21.17-50.35-45.1-74.35-68.36-.31-6.61-.11-13.18-.2-19.78,0-.41,.17-.83,.3-1.23,.02-.05,.29-.12,.37-.08,22.96,22.16,44.92,45.4,68.86,66.73,3.38,3.31,2.75,.61,2.5-2.27-.66-4.81-1.37-9.61-1.61-14.46-.02-.27,.18-.41,.51-.39,13.53,11.45,26,24.58,39.68,36.08,6.54,5.73,13.15,11.41,19.73,17.1,.7,.46,1.82,1.83,2.18,.65-1.12-4.98-2.27-9.95-3.39-14.93-.17-.73-.23-1.48-.32-2.23-.01-.09,.1-.28,.15-.28,1.36,.06,2.2,1.48,3.27,2.19,8.9,7.8,17.91,15.52,27.14,23.06,M 7.06,5.77,14.27,11.44,21.42,17.14,.49,.29,1.04,.84,1.64,.76,.1-.05,.23-.19,.21-.26-.83-2.71-1.66-5.43-2.51-8.14-.82-2.61-1.66-5.22-2.45-7.83-.08-.25,.1-.55,.16-.83,.35,.14,.78,.22,1.04,.43,4.69,3.71,9.35,7.45,14.05,11.16,10.11,7.65,20.03,15.99,30.84,22.75,.35-.4,.22-.79,.04-1.2-2.18-4.98-4.35-9.96-6.51-14.94-.57-1.32-1.09-2.66-1.59-4-.04-.11,.18-.32,.33-.44,.05-.04,.28,0,.37,.06,12.51,8.98,24.98,18.22,38.03,26.57,.25,.16,.66,.49,.93,.17,.18-.2,.1-.63-.03-.9-2.65-5.41-5.33-10.82-8-16.22-.44-1.1-1.42-2.11-1.12-3.34,1M .08,.15,1.68,.76,2.38,1.25,10.3,6.92,20.66,14.09,31.56,20.15,.09-.31,.26-.54,.19-.7-.54-1.1-1.12-2.19-1.69-3.28-2.7-5.16-5.41-10.32-8.11-15.49-.21-.39-.36-.8,.1-1.18,8.58,4.84,16.69,10.55,25.53,15.25,.99,.56,2.01,1.07,3.03,1.59,.29,.15,.53,.07,.65-.16,.05-.09,.13-.21,.09-.28-.34-.7-.67-1.4-1.05-2.09-2.91-5.33-5.83-10.65-8.75-15.97-1.93-3.34,.65-1.69,2.3-.7,6.67,4.02,13.71,7.62,20.65,11.34,.55,.3,1.96,1.01,2.09,.54,.32-.75-.54-1.4-.78-2.07-2.88-5.1-5.77-10.2-8.64-15.3-.28-.72-2.53-3.86-.5-3.18,6.57,3.39,13.15,6.74,1M 9.74,10.1,.65,.22,1.42,.81,2.11,.66,.09-.06,.22-.2,.19-.26-.27-.6-.55-1.21-.87-1.8-2.83-5.12-5.67-10.23-8.5-15.36-.47-1.38-2.47-3.15-1.15-4.49l-.12-.05c5.79,3.78,12.55,6.23,18.9,9.22,1.62,.27,.51-1.42,.15-2.12-2.96-5.66-5.93-11.31-8.87-16.98-1.31-2.84-2.13-3.88,1.53-2.23,4.89,2.03,9.67,4.31,14.63,6.18,2.11,.43-.1-2.48-.34-3.3-3.14-6.18-6.16-12.4-8.92-18.69-1.12-2.99,.71-1.62,2.37-1.03,3.81,1.59,7.5,3.46,11.38,4.89,.82,.25,1.69,1.01,2.52,.35,.64-.51-.11-1.2-.35-1.78-3.43-8.72-7.41-17.27-10.56-26.08,.05-.35,.38-.62,.M 8-.44,4.77,1.7,9.33,3.93,14.17,5.45,.45,.13,.98-.22,.82-.71-1.63-4.44-3.32-8.86-4.94-13.3-1.75-5.4-4.26-10.63-5.4-16.17-.03-.24,.28-.4,.57-.33,3.87,1.14,7.59,2.73,11.41,4.04,.76,.1,2.35,1.11,2.72,.05-2.62-9.68-6.11-19.17-8.57-28.87-.23-.84-.36-1.69-.52-2.54-.05-.24,.59-.57,.9-.47,4.21,1.44,8.46,2.78,12.69,4.15,.32,.1,.89-.22,.85-.47-2.04-8.66-4.24-17.3-6.14-26-.53-2.33-1.05-4.66-1.55-6.99-.11-.51-.21-1.04,.24-1.5,4.03,.86,7.78,2.38,11.77,3.41,.68,.2,2.18,.43,2.21-.57-1.4-8.86-2.95-17.7-4.34-26.56-.47-2.99-.76-6-1.1M 1-9-.1-.86-.2-1.72,.13-2.56l-.16,.13c4.95-.24,9.87-1.51,14.66-2.6l-.14-.08c1.22,3.8,1.11,7.86,1.69,11.78,1.07,8.84,2.15,17.74,4.04,26.45l.07-.08c-4.44,1.22-8.83,2.56-13.4,3.45-.69,.13-1.05,.64-.92,1.24,2.27,11.22,4.63,22.48,7.76,33.53l.14-.13c-1.07,.32-2.14,.17-3.17-.09-2.95-.74-5.89-1.52-8.84-2.26-.61-.09-1.78-.42-2.11,.26,2.18,10.41,5.97,20.48,8.95,30.71-.41,.47-.9,.54-1.45,.4-3.32-.88-6.63-1.76-9.95-2.65-.74-.1-2.48-1.05-2.72,0,2.94,9.2,6.66,18.14,9.91,27.24,.28,.79,.85,2.13-.64,1.91-3.69-.98-7.31-2.16-10.96-3.2M 6-.71-.21-2.55-.99-2.52,.23,3.09,8.27,6.55,16.37,10.28,24.44,.36,.78,1.31,2.37-.31,2.19-4.23-.96-8.28-2.54-12.44-3.76-2.8-.87-2.05,.29-1.21,2.18,3.12,6.69,7.18,13.3,9.83,20.04-.81,.5-1.77-.07-2.59-.25-4.56-1.55-9.12-3.13-13.67-4.7-.18,.26-.44,.47-.39,.61,.25,.72,.52,1.44,.9,2.12,3.33,6.23,7.07,12.27,10.18,18.6-.29,.78-1.4,.17-1.97,.04-4.86-1.84-9.72-3.69-14.56-5.56-.74-.29-1.45-.57-2.28-.33,.02,0,.33-.04,.33-.04h-.3c3.42,5.86,6.85,11.71,10.27,17.56,2.32,3.62,2.06,3.95-1.92,2.26-5.11-2.18-10.21-4.37-15.32-6.55-1.33-M .42-2.29-.92-1.4,1,1.95,3.31,3.91,6.62,5.9,9.91,1.64,2.71,3.33,5.41,4.97,8.12,.22,.49-.38,.81-.81,.65-7.65-2.82-14.61-6.95-22.03-10.07-.58,.81,.33,1.62,.63,2.39,2.91,5.09,5.98,10.12,9.19,15.1,.43,.66,.78,1.36,1.11,2.06,.05,.12-.2,.32-.37,.58-7.5-3.3-14.77-7.1-21.93-10.92-1.36-.61-2.57-1.72-4.12-1.81-.24-.02-.28,.5-.05,.89,3.49,5.83,7,11.64,10.49,17.47,.23,.41,.73,1.21-.03,1.28-10.42-4.42-19.87-10.93-29.84-15.88-.62,.78,.51,1.87,.8,2.67,2.74,4.8,5.5,9.59,8.25,14.39,.3,.81,1.49,1.84,.92,2.64-.02,.03-.25,.04-.33,0-10.M 02-5.26-19.69-11.33-29.27-17.23-1.58-1-3.18-1.99-4.79-2.96-.15-.09-.57-.08-.66,0-.14,.14-.19,.42-.12,.59,.36,.81,.76,1.61,1.18,2.4,2.66,5.06,5.32,10.12,7.99,15.18,.26,.5,.6,.97,.18,1.55-14.24-7.67-27.14-17.67-40.79-26.34,0-.03,.03-.06,.04-.1-.47,.62-.24,1.25,.02,1.86,1.76,4.76,4.42,9.6,5.74,14.33-.23,.06-.57,.16-.69,.08-1.89-1.21-3.77-2.42-5.62-3.67-13.05-8.82-25.67-18.03-38.05-27.45-1.1-.7-4.44-3.88-3.27-.43,1.37,4.16,2.78,8.3,4.14,12.46,.27,.82,.39,1.67,.57,2.51-.01,.2-.45,.32-.61,.23-18.72-13.63-36.95-27.69-54.3M 6-42.71,.06,.25,0,.29-.16,.11l.29-.05Z"/><path class="cls-2" d="M924.94,209.92c-.66-.26-1.33-.14-1.96,.01-2.05,.51-4.11,1.04-6.14,1.6-9.42,2.42-18.74,5.64-28.21,7.65-.51-.12,.43-1.1,.61-1.31,8.89-8.54,17.9-16.98,26.9-25.41,.4-.54,1.58-1.08,1.1-1.81-.55-.27-1.33,.14-1.92,.21-8.96,2.34-17.91,4.69-26.87,7.03-1.66,.43-3.33,.86-5.01,1.26-.18,.04-.44-.11-.64-.21,9.93-10.37,21.57-19.8,32.08-29.83,.71-.65,1.37-1.32,2.04-1.99,.28-.36-.36-.54-.6-.56-9.99,2.04-19.98,4.44-29.85,6.9-.64,.07-1.76,.46-2.3,.1,11.4-11.84,24.9-22.62M ,37.33-33.86,1.02-1.07,2.6-1.8,3.05-3.24-9.74,1.06-19.46,3.63-29.18,5.24-.59,.09-1.27,.34-1.75-.15-.07-.05-.06-.24,0-.31,15.26-14.51,32.61-27.58,47.65-42.05-.05-.13-.39-.29-.58-.27-3.87,.43-7.73,.88-11.6,1.33-5.33,.48-10.64,1.57-15.99,1.58-.02-.24-.15-.52-.03-.64,.75-.76,1.52-1.51,2.34-2.22,17.08-14.73,34.38-29.2,51.75-43.62,3.35-2.79,2.47-2.38,6.96-2.4,6.6-.04,13.21-.07,19.81-.09,.95,.13,2.26-.32,2.91,.52,.05,.07,0,.23-.07,.3-.61,.57-1.22,1.14-1.87,1.68-16.54,13.57-33.11,27.11-49.47,40.88-.67,.61-1.63,1.09-1.6,2.0M 9,7.88-.2,15.99-1.69,23.93-2.33,1.54-.03,3.25-.58,4.72-.28,.06,.08,.08,.25,.01,.31-.57,.59-1.11,1.2-1.75,1.74-8.44,7.12-16.91,14.2-25.32,21.33-5.73,4.86-11.4,9.77-17.09,14.66-.45,.48-1.26,.84-1.06,1.58,.52,.26,1.35,.07,1.95,.02,9.2-1.62,18.4-3.25,27.6-4.88,.51-.09,1.03-.17,1.52,.1-.03,.73-.75,1.12-1.28,1.58-5.21,4.51-10.47,8.99-15.65,13.52-6.82,5.96-13.59,11.96-20.38,17.95-.35,.44-1.38,1.02-1.24,1.57,.05,.08,.2,.18,.29,.17,1.05-.15,2.11-.28,3.13-.5,7.93-1.71,15.85-3.45,23.77-5.16,1.69-.36,3.4-.65,5.11-.94,.2-.03,.5M 9,.08,.65,.2,.08,.16-.02,.44-.17,.59-.86,.83-1.76,1.63-2.66,2.43-8.44,7.55-16.89,15.1-25.32,22.65-1.52,1.36-2.98,2.78-4.45,4.18-.29,1.16,2.69-.04,3.3-.08,10.2-2.41,20.4-4.82,30.6-7.23,.41-.16,1.67-.11,1.38,.5-8.15,7.95-16.76,15.45-25.07,23.24-.84,.9-2.61,1.9-2.66,3.07,11.2-1.79,22.39-5.46,33.58-7.9,1.23-.14,2.59-.99,3.78-.49,.05,.02,.03,.23-.04,.3-.63,.69-1.25,1.39-1.94,2.05-6.47,6.21-12.95,12.41-19.42,18.61-.91,.96-2.05,1.66-2.51,2.94,1.41,.24,2.63-.29,3.96-.61,10.98-2.95,22.15-5.39,33.25-8.02,.84-.11,1.84-.58,2.6M 2-.07,.07,.04,.07,.23,0,.3-.39,.44-.79,.87-1.21,1.29-5.92,5.87-11.84,11.74-17.75,17.62-3.15,3.09-1.31,2.42,1.7,1.76,12.9-2.97,25.87-6.17,38.95-8.36,.22-.02,.48,.26,.37,.46-5.3,5.88-10.93,11.47-16.35,17.23-.49,.51-.91,1.06-1.34,1.6-.06,.08-.06,.27,0,.31,.19,.11,.46,.26,.64,.23,3.14-.6,6.27-1.24,9.41-1.84,7.85-1.52,15.7-3.05,23.56-4.52,3.8-.71,7.64-1.3,11.46-1.93,.24-.04,.63,0,.74,.12,.25,.28,.07,.59-.17,.86-4.97,5.64-10.15,11.11-14.99,16.85-.22,.31,.36,.62,.55,.63,11.79-1.64,23.47-3.88,35.31-5.34,4.52-.54,8.99-1.51,M 13.53-1.78,.12,0,.34,.04,.36,.1,.07,.19,.17,.43,.07,.58-4.07,5.5-8.77,10.54-12.8,16.07-.11,1.21,2.21,.48,2.97,.56,17.07-2.01,34.17-3.83,51.32-5.02,.34-.03,.7,.42,.56,.68-.16,.3-.29,.61-.48,.89-3.7,5.25-7.36,10.52-11.04,15.78l-.04,.03c-18.78,1-37.44,3.36-56.14,5.23-.35,.02-.79-.44-.64-.67,.45-.66,.87-1.33,1.36-1.97,2.97-3.85,5.96-7.68,8.94-11.53,.34-.67,2.33-2.38,.92-2.65-11.3,1.15-22.55,3-33.76,4.83-5.4,.88-10.81,1.77-16.22,2.64-.18,.03-.44-.14-.63-.26-.07-.04-.06-.23,0-.31,.47-.65,.92-1.31,1.44-1.93,4.02-5.04,8.95M -9.74,12.49-15-.19-.11-.45-.26-.64-.23-2.11,.35-4.21,.7-6.3,1.1-7.85,1.5-15.71,2.98-23.54,4.55-4.7,.94-9.35,2.02-14.02,3.03-.77,.17-1.55,.4-2.35,.05-.08-.72,.54-1.19,1.01-1.7,4.28-4.7,8.57-9.39,12.86-14.09,.7-.97,2.14-1.69,1.94-3.02,0,.01,.02,.25,.02,.25l-.02-.18c-13.95,2.71-27.73,6.19-41.51,9.52-.59,.07-1.37,.37-1.92,.09-.06-.07-.07-.22-.01-.29,.49-.63,.94-1.29,1.5-1.88,5.52-5.97,11.56-11.53,16.8-17.74,.06-.78-1.53-.16-1.98-.15-9.43,2.2-18.74,4.7-28.07,7.16-3.44,.91-6.9,1.79-10.35,2.67-1.24-.02,.9-1.81,1.16-2.23,5M .82-5.79,11.65-11.57,17.48-17.36,.84-.84,1.66-1.69,2.47-2.55,.06-.07,.05-.27-.01-.3-.19-.11-.45-.26-.63-.23-1.56,.34-3.11,.69-4.64,1.1-7.53,2.01-15.06,4.02-22.58,6.06-3.06,.83-6.08,1.74-9.12,2.61-.5,.14-1.02,.2-1.5-.16,.41-1.04,1.41-1.8,2.25-2.62,5.36-5.26,10.76-10.49,16.16-15.73,1.89-1.83,3.81-3.63,5.72-5.44,.35-.33,.68-.67,.61-1.14,.16-.05,.38-.07,.25-.27-.26,0-.31,.12-.16,.32Z"/><path class="cls-2" d="M1007.3,858.26c4.1,1.05,8.2,2.1,12.31,3.13,.5,.12,1.5,.22,1.72-.32-2.14-10.42-5.98-20.5-8.95-30.74,.44-.47,.94-.M 53,1.49-.39,3.96,1.04,7.9,2.15,11.86,3.15,.38,.09,.88-.24,.79-.52-.32-1.04-.61-2.09-.99-3.12-2.98-8.05-5.98-16.09-8.96-24.14-.19-.6-.73-1.91,.36-1.87,4.54,.86,8.77,2.88,13.3,3.7,.16,.01,.51-.26,.5-.4-2.75-8.23-6.51-16.18-10.02-24.19-1.59-3.17-1.07-3.04,2.06-2.23,4.04,1.14,7.95,2.79,12.06,3.64,.16,.02,.54-.26,.52-.34-1.99-5.3-5-10.21-7.41-15.34-.95-2.31-2.76-4.42-3.21-6.86,0-.23,.79-.26,1.51-.04,4.89,1.47,9.59,3.47,14.48,4.91,.33,.09,.63-.39,.59-.62-2.92-6.3-6.7-12.21-9.96-18.35-.23-.72-1.76-2.2-.9-2.6,1.05-.1,2.01,M .37,2.97,.71,4,1.54,8,3.09,12,4.63,1.19,.39,2.47,1.3,3.72,.67-.12,.06-.23,.11-.33,.16l.33-.13c-4.09-6.01-7.45-12.52-11.26-18.72-.34-.57-.83-1.11-.59-1.8l-.09,.06c.53-.2,1.05-.12,1.54,.09,3.71,1.53,7.43,3.04,11.12,4.6,2.26,.96,4.47,2,6.71,2.99,.77,.41,1.67,0,1-.86-3.71-6.22-7.43-12.43-11.15-18.64-.14-.24-.03-.43,.29-.52,6.31,1.95,12.32,5.34,18.25,8.17,2.2,.97,6.68,4.13,3.58-.76-3.29-5.43-6.57-10.86-9.9-16.26-.26-.43-.23-.86,.05-.86,1.2-.06,2.15,.68,3.2,1.12,7.9,3.41,15.19,8,22.89,11.47,.67-.66-.36-1.62-.63-2.32-3.24M -5.78-7.21-11.23-10.03-17.2,.29-.38,1.06,.03,1.41,.14,2.51,1.26,5.03,2.51,7.49,3.83,6.83,3.66,13.55,7.41,20.15,11.36,3.04,1.6,.56-1.97,.04-2.95-2.69-4.7-5.39-9.4-8.07-14.1-2.46-3.92,1.37-1.38,3.03-.46,10.09,5.94,20.24,11.82,29.98,18.13,.51,.33,1.03,.75,1.69,.52,.07-.01,.16-.19,.12-.25-.57-1.21-1.13-2.42-1.75-3.61-2.68-5.17-5.37-10.34-8.05-15.51-.04-.07,0-.25,.06-.27,.22-.07,.54-.19,.69-.12,12.77,7.52,25.08,15.93,37.23,24.34,1.01,.69,1.87,1.56,3.22,1.88,.37-.41,.21-.8,.04-1.21-1.83-4.39-3.65-8.78-5.47-13.18-.18-.59-M .74-1.23-.14-1.74,15.24,9.27,29.59,20.45,43.8,31.03,1.07,.82,2.2,1.58,3.32,2.35,.09,.06,.34,.1,.38,.06,.14-.13,.34-.33,.3-.46-5.63-19.72-10.68-21.18,8.32-7.06,13.1,9.94,25.91,20.11,38.42,30.53,.62,.36,3.56,3.37,3.7,1.83-1.08-5.65-2.52-11.23-3.79-16.83-.04-.16,.11-.48,.25-.51,14.37,10.18,27.8,22.63,41.28,33.99,6.96,6.15,13.89,12.33,20.84,18.49,.45,.4,.95,.76,1.45,1.11,.13,.06,.58-.08,.62-.26-.11-6.09-1.53-12.18-1.86-18.3,.34-.67,1.16,.02,1.53,.31,25.1,21.79,49.42,44.45,73.02,67.82,.19,6.6,.03,13.16,.07,19.76,0,.4-.1M 7,.81-.3,1.2-.26,.32-.78-.04-1-.22-21.88-22.52-44.47-44.62-67.63-65.99-1.38-1.07-3.28-3.54-2.99-.11,.7,5.57,1.46,11.13,1.88,16.72,.03,.43-.68,.35-.87,.27-17.28-16.47-35.08-32.57-53.18-48.24-2.36-2.07-4.79-4.08-7.21-6.11-.16-.13-.48-.15-.73-.19-.46-.1-.41,.67-.31,1.07,1.18,5.08,2.37,10.16,3.54,15.24,.06,.47,.25,1.18-.04,1.55-.26-.02-.6,0-.75-.13-17.34-14.51-34.19-30.2-52.66-43.21-.17,.12-.42,.31-.39,.43,.34,1.26,.7,2.52,1.1,3.77,1.13,3.55,2.29,7.09,3.4,10.64,.19,.61,.21,1.26,.29,1.9,0,.21-.45,.32-.6,.25-14.29-11.39-M 28.67-22.79-43.78-33.53-.48-.35-.87-.84-1.62-.87-.1,0-.3,.11-.29,.15,2.14,6.78,5.75,13.14,8.14,19.87,.06,.41-.56,.37-.8,.33-12.76-8.91-25.25-18.97-38.74-26.8-.3,.07-.43,.24-.33,.46,.42,.91,.83,1.82,1.27,2.72,2.47,5.01,4.95,10.01,7.41,15.02,.3,.6,.55,1.21,.82,1.82,.11,.23,.03,.41-.27,.5-.12,.04-.31,.05-.39,0-1.97-1.3-3.94-2.61-5.89-3.93-9.05-5.87-17.94-12.38-27.57-17.39-.65-.41-.32,.42,.07-.09-.56,1.09,.41,2.02,.82,3,2.83,5.89,6.58,11.47,8.88,17.56-.32,.35-.97-.13-1.32-.27-4.99-3.1-9.92-6.26-14.96-9.32-3.75-2.28-7.6M 1-4.43-11.43-6.63-.52-.3-1-.71-1.75-.63-.58,.69,.18,1.2,.4,1.76,.24,.61,.66,1.18,.98,1.77,2.7,4.92,5.4,9.84,8.09,14.76,.36,.87,1.23,1.69,.56,2.45-7.78-4.45-15.59-8.81-23.61-12.97-.57-.17-1.58-1.1-2.05-.48,2.26,5.51,6.91,12.31,9.8,17.94,.3,.82,1.35,1.86,.8,2.68-.81,0-1.63-.7-2.4-.99-6.64-3.21-13.01-7.05-19.81-9.89-1.02,.1,.09,1.35,.25,1.88,2.88,5.21,5.77,10.41,8.65,15.63,.5,1.42,2.36,3.06,1.16,4.51v-.03c-5.7-3.83-12.48-6.22-18.79-9.23-.2-.09-.48-.05-.73-.06-.23,0-.32,.54-.14,.89,2.4,4.55,4.84,9.08,7.2,13.64,1.23,2.3M 8,2.35,4.79,3.5,7.19,.08,.35-.57,.47-.77,.45-5.33-2.23-10.54-4.76-15.96-6.82-.61-.25-1.27-.33-1.88,0,.22,.02,.37,.04,.46-.18l-.37,.18c3.57,7.3,7.29,14.54,10.54,21.99,.18,.4,.24,.83,.32,1.26,.02,.08-.09,.23-.18,.27-.98,.41-1.89-.5-2.81-.78-4.26-1.86-8.43-3.92-12.87-5.36-.4-.12-1.04,.2-.91,.68,3.51,9.24,8.05,18.22,11.04,27.61-.16,.88-2.16-.37-2.75-.45-3.74-1.48-7.46-2.99-11.2-4.45-.46-.18-1.03-.2-1.55-.26-.07,0-.25,.16-.24,.23,3.42,10.36,7.5,20.6,10.92,30.99l.08-.12c-4.44-1.82-8.96-3.44-13.51-5.01-.58-.15-1.8-.58-1.9M 8,.25,2.68,9.84,6.22,19.56,8.77,29.44,.2,.71,.54,1.45,.09,2.19-1.16,.48-1.97-.31-2.93-.54-.77-.18-1.47-.53-2.21-.77-2.61-.85-5.23-1.69-7.84-2.54-.71-.23-1.41-.02-1.24,.69,2.91,10.81,5.29,21.71,7.7,32.6,.12,.52,.22,1.06-.16,1.56-.7,.14-1.29-.15-1.88-.35-4.03-1.5-8.32-2.38-12.39-3.82-2.52-11.71-5.06-23.4-8-35.01l-.1,.1Z"/><path class="cls-2" d="M1190.06,521.46c30.44,10.44,60.33,21.99,89.85,34.62,.77,.28,1.55,.11,1.38-.87-.59-4.61-1.22-9.21-1.82-13.81-.18-1.37-.53-2.75-.16-4.15,35.67,13.35,70.11,30.06,104.3,46.65,4.31M ,2.16,3.66,1.4,3.69,5.33,.02,5.96,.07,11.86-.03,17.83-1.29,.43-2.18-.35-3.26-.87-26.06-13.81-52.7-26.86-79.85-39.26-6.67-3.04-13.39-6-20.09-9-.69-.31-1.37-.67-2.22-.51-.39,.9-.09,1.75,.02,2.6,.65,4.71,1.31,9.42,1.97,14.13,.14,.9,.31,2.57-1.14,2.06-13.21-5.82-26.24-11.91-39.63-17.45-15.01-6.33-30.28-12.24-45.65-18-.72-.21-2.02-.95-2.37-.02,.78,4.93,2.52,9.68,3.68,14.54,.1,.71,.54,1.55-.11,2.1-24.39-8.84-48.61-18.34-73.71-25.46-1.83,.03-.07,2.32,.11,3.24,1.36,3.49,2.73,6.99,4.08,10.48,.18,.55,.59,1.52-.28,1.62-20.46-M 6.04-40.7-12.73-61.64-17.36-2.03-.09-.06,2.18,.21,3.08,1.73,3.39,3.48,6.77,5.2,10.16,.2,.48-.43,.81-.85,.72-16.56-4.29-33.29-8.09-50.13-11.27-.76-.15-1.58-.34-2.35,.03-.17,.58,.21,1.03,.51,1.5,2.22,3.44,4.45,6.89,6.66,10.34,.06,.26-.12,.69-.5,.69-11.9-2.29-23.88-4.37-35.94-6.11-1.25,0-9.18-1.71-9.1-.31,1.95,3.26,4.68,6.02,6.95,9.06,.24,.42,.91,.97,.71,1.44-.16,.14-.39,.38-.55,.36-3.33-.4-6.64-.85-9.97-1.25-5.6-.66-11.18-1.41-16.82-1.78-15.86-1.12-12.56-1.85-3.32,8.59,.18,.25,.58,.9,.25,1.14-1.82,.34-3.75-.14-5.61-.M 16-8.96-.55-18.03-1.37-27.01-.97-.18,.1-.38,.42-.31,.51,2.7,3.01,5.91,5.58,8.81,8.41,.57,1.42-3.46,.6-4.35,.77-7.88,.07-15.98-.39-23.75,.67-.03,.2-.09,.48,.05,.6,.9,.8,1.82,1.58,2.77,2.35,2.09,1.68,4.21,3.34,6.27,5.04,.22,.18,.2,.55,.33,.94-8.04,.63-15.91,.65-23.81,1.84-1.27,.7,1.35,1.8,1.82,2.35,2.29,1.67,4.6,3.32,6.89,4.99,.4,.29,.8,.58,.8,1.08-.57,.51-1.41,.52-2.2,.61-2.4,.25-4.82,.45-7.21,.75-3.46,.44-6.9,.96-10.34,1.45-.4,.06-.85,.2-.85,.56,0,.27,.22,.62,.48,.8,1.75,1.18,3.55,2.31,5.3,3.5,1.44,.97,2.85,1.97,4.M 22,3.01,.21,.16,.12,.57,.17,.9-6.02,.99-11.97,1.9-17.64,3.54-.06,.57,.29,.86,.72,1.13,3.26,2.25,7.4,4.11,10.29,6.69,.1,.45-.35,.55-.68,.64-4.73,1.2-9.41,2.57-14.1,3.92-.52,.15-.59,.77-.12,1.06,2.77,1.72,5.55,3.41,8.31,5.14,.95,.59,1.85,1.24,2.74,1.9,.11,.08,.07,.41-.04,.55-4.07,1.64-8.39,2.91-12.4,4.67-.64,.27-1.3,.35-1.9,0-3.87-2.16-7.72-4.33-11.58-6.5-1.22-1.01,1.03-1.52,1.71-1.9,3.59-1.46,7.29-2.73,10.83-4.31,.16-.08,.17-.35,.28-.6-3.66-2.48-7.83-4.45-11.86-6.86,5.26-2.6,10.44-3.61,15.99-5.26-.16-.35-.18-.73-.44M -.9-1.24-.83-2.53-1.61-3.82-2.39-2.05-1.23-4.13-2.42-6.16-3.67-.23-.14-.2-.55-.32-.89,5.93-1.7,11.91-2.97,17.82-4.28,.13-.57-.2-.88-.63-1.15-2.11-1.34-4.22-2.68-6.32-4.03-.95-.61-1.88-1.22-2.82-1.84-.4-.26-.58-.71-.37-.84,6.56-2.11,13.86-2.51,20.71-3.71,.39-.87-.55-1.18-1.31-1.83-2.55-1.76-5.11-3.51-7.67-5.26-.41-.28-.77-.6-.69-1.16,7.92-1.99,16.63-1.43,24.5-3.05,.08-.16,.04-.46-.11-.59-.81-.72-1.66-1.41-2.52-2.09-2.09-1.68-4.2-3.35-6.26-5.05-.22-.18-.19-.55-.32-.95,9.48-1.04,18.83-1.2,28.33-1.47,1.07-.45-.25-1.34-M .66-1.8-10.45-9.55-10.97-7.65,3.24-8.09,6.87,.16,13.74,.31,20.61,.46,.55-.04,1.51,.21,1.76-.39-.09-1.13-1.58-2.01-2.24-2.94-1.95-2.19-4.27-4.12-6.01-6.47-.1-.5,.58-.71,1.02-.65,12.78,.06,25.49,1.7,38.22,2.44,.12,0,.36-.36,.3-.48-2.15-3.41-5.04-6.35-7.49-9.56-.3-.37-.51-.75-.23-1.2,15.35,.63,30.6,3.48,45.82,5.51,1.54-.14-.99-2.69-1.36-3.57-1.67-2.58-3.34-5.16-4.99-7.75-.27-.41-.51-1.19,.1-1.36,18.12,2.04,35.97,6.88,53.74,9.86,.52-.52-.15-1.22-.35-1.76-1.66-3.29-3.33-6.59-4.99-9.88-.32-.79-1.49-2.31,.24-2.23,21.25,4.M 27,42.24,9.94,62.99,15.97,.53-.44,.52-.86,.37-1.28-1.87-4.94-3.72-9.89-5.5-14.86l-.1,.13c26.09,6.73,51.2,15.77,76.61,24.13,.47-.63,.26-1.28,.1-1.9-1.18-5.28-3.23-10.46-3.81-15.84l-.14,.05Z"/><path class="cls-2" d="M1200.1,558.57c25.84,9.54,51.27,21.49,76.07,33.36,3.11,1.51,6.25,2.96,9.38,4.44,.26,.12,.91-.17,.93-.4-.05-5.67-1.43-11.36-2.03-17.02-.07-.72-.14-1.55,.95-1.31,34.6,16.22,68.74,33.5,101.77,52.6,.37,6.57,.05,13.16,.16,19.75,0,2.51-1.07,1.65-2.75,.73-30.91-18.53-62.66-35.92-94.93-52.14-.55-.28-1.18-.48-1.8-M .66-.13-.04-.52,.17-.55,.31-.3,1.29,.04,2.57,.23,3.85,.51,4.81,1.79,9.62,1.87,14.43-.63,.65-1.67-.26-2.35-.49-22.94-12.12-46.4-23.55-70.38-34.3-3.29-1.48-6.6-2.92-9.92-4.35-.55-.17-1.65-.74-2.01-.04,.82,5.47,3.13,10.66,4.04,16.13-.25,1.25-2.2-.16-2.93-.34-22.2-10.11-44.87-19.89-68.18-28.09-.12-.03-.54,.26-.51,.35,.23,.84,.48,1.68,.81,2.49,1.6,4.11,3.49,8.12,4.89,12.31,.03,.08-.06,.23-.15,.27-.22,.08-.52,.21-.69,.15-2.56-.95-5.12-1.92-7.66-2.91-16.99-6.49-34.25-12.79-51.93-17.83-.1-.02-.47,.29-.44,.41,1.8,4.54,4.73,M 8.64,6.72,13.12,.06,.15-.12,.37-.23,.54-.68,.19-1.56-.29-2.25-.43-9.07-3.03-18.24-5.87-27.51-8.48-7.01-1.78-14-4.13-21.11-5.42-.18,.02-.48,.29-.46,.4,1.95,4.27,5.31,7.89,7.44,12.08-.56,.4-1.07,.36-1.6,.23-4.22-1.1-8.45-2.19-12.67-3.3-8.83-2.32-17.83-4.16-26.83-6-.94-.06-2.17-.62-2.97,.04,1.96,3.42,5.17,6.55,7.51,9.88,.32,.42,1.02,.91,.47,1.39-.48,.41-1.28,.15-1.93,.02-1.31-.25-2.6-.56-3.9-.83-10.38-1.93-21.01-4.35-31.52-5.19-.17,.7,.28,1.21,.77,1.67,2.16,2.34,4.33,4.67,6.49,7.02,.42,.67,1.68,1.32,1.25,2.17-5.69-.29M -11.67-1.6-17.46-2.15-4.71-.45-9.66-1.51-14.32-1.1-.04,.2-.13,.46,0,.59,2.68,2.86,5.63,5.5,8.41,8.27,.34,.33,.64,.69,.35,1.21-8.82-.53-17.66-1.48-26.52-1.69-.21-.01-.53,.11-.64,.25-.11,.15-.11,.44,0,.58,2.24,2.34,4.91,4.29,7.31,6.47,.73,.63,1.41,1.3,2.06,1.98,.11,.12,.01,.39-.04,.58-7.49,.49-15.32-.66-22.89,.03-.28,.02-.51,.64-.31,.81,.84,.7,1.68,1.4,2.52,2.09,2.36,1.92,4.72,3.84,7.06,5.78,.16,.13,.25,.42,.18,.58-.07,.17-.36,.33-.59,.39-1.85,.29-3.77,.21-5.64,.29-4.56,.15-9.18,.2-13.67,.93-.22,.88,.84,1.24,1.38,1.7M 7,2.84,2.15,5.69,4.28,8.54,6.42,.39,.3,.78,.6,.66,1.17-5.54,.87-11.43,1.21-16.97,2.17-.27,.58-.04,.92,.39,1.23,2.87,2.12,5.74,4.24,8.6,6.37,2.19,1.52,2.85,2.2-.37,2.63-4.02,.87-8.17,1.3-12.09,2.53-1.16,.67,.68,1.42,1.13,1.92,3.22,2.45,6.62,4.71,9.71,7.31,.23,.2,.23,.57,.32,.84-3.97,1.27-7.85,2.35-11.71,3.71-2.04,.93,.9,2.06,1.58,2.83,3.65,2.97,7.53,5.77,11.05,8.89-.23,.54-.64,.78-1.15,.95-3.08,1.07-6.22,2-9.22,3.28-2.68,.89,2.03,3.24,2.89,4.31,2.89,2.41,5.77,4.83,8.65,7.25,.38,.32,.63,.68,.48,1.1-3.22,1.4-6.41,2.79M -9.61,4.17-.65,.28-1.25,.2-1.83-.25-3.84-3.03-7.69-6.04-11.54-9.05-.47-.37-1.04-.7-1.04-1.39,2.9-1.99,6.45-3.4,9.56-5.26,.6-.61-.45-1.14-.86-1.54-3.56-2.64-7.13-5.26-10.7-7.89-.49-.36-1.08-.65-1.34-1.32,2.55-1.99,6.08-2.99,9.01-4.53,2.34-1.05,2.38-1.09,.27-2.62-3.54-2.71-7.58-4.77-10.83-7.82,4.21-1.96,8.79-2.94,12.98-4.49,.16-.57-.18-.89-.6-1.18-3.18-2.17-6.36-4.33-9.54-6.5-.6-.46-1.32-.69-1.39-1.55,4.83-1.62,9.91-2.63,14.96-3.65-.02-.28,.07-.55-.06-.68-2.92-2.45-6.3-4.37-9.41-6.59-.85-.51-2.32-1.54-.59-2.01,3.03-.M 52,6.06-1.02,9.1-1.48,2.25-.34,4.51-.6,6.77-.92,1.71-.52-.1-1.5-.83-2.08-2.32-1.64-4.65-3.27-6.98-4.91-.79-.67-2.1-.96-1.94-2.2,6.61-1.08,13.14-1.35,19.75-1.81,.32-.03,.61-.59,.4-.77-2.61-2.38-5.57-4.36-8.33-6.57-.48-.37-.92-.77-1.36-1.17-.08-.07-.14-.22-.1-.29,.12-.17,.28-.44,.45-.46,7.64-.71,15.33-.75,23-.82,.43,.02,.61-.42,.39-.72-2.66-2.48-5.64-4.62-8.42-6.97-1.01-.91-2.14-1.98,.25-1.92,6.06,.05,12.13-.08,18.18,.42,2.54,.21,5.1,.18,7.66,.26,.48,.05,.59-.39,.48-.7-2.81-2.92-5.79-5.68-8.71-8.49-.31-1.08,1.43-.66,M 2.07-.76,5.79,.11,11.55,.7,17.31,1.2,4.15,.39,8.28,.87,12.42,1.29,.2,.02,.54-.12,.62-.26,.09-.16,.04-.45-.09-.59-2.53-2.8-5.09-5.59-7.75-8.27-.4-.41-1.09-.88-.65-1.39,.39-.46,1.24-.27,1.89-.2,12,1.2,23.92,2.96,35.8,4.98,1.29-.13-.47-1.79-.77-2.3-2.11-2.63-4.23-5.25-6.33-7.88-.31-.47-1.04-1.3-.24-1.61,13.71,1.99,27.36,4.73,40.8,7.91,1.25,.13,2.64,.93,3.83,.39,.06-.03,.04-.22,0-.31-2.18-4.08-5.34-7.67-7.31-11.83-.03-.11,.31-.42,.44-.41,.93,.1,1.86,.21,2.76,.41,10.52,2.29,20.97,4.8,31.28,7.65,5.34,1.48,10.66,3.02,15.9M 9,4.53,.5,.14,1.03,.23,1.55,.27,.13,0,.45-.31,.41-.42-1.66-3.91-3.97-7.53-5.87-11.33-.18-.6-1.3-1.98-.3-2.24,20.87,4.87,41.02,12.58,61.32,19.06,.56-1.36-.61-2.67-.96-3.99-1.34-3.71-3.26-7.3-4.27-11.09,.29-.86,1.76-.07,2.38,.02,9.39,3.26,18.76,6.54,28.04,9.99,13.8,5.14,27.36,10.67,40.83,16.33,.46,.2,.98,.32,1.48,.45,.32,.08,.56-.05,.54-.33-.64-4.93-2.54-9.67-3.67-14.52-.19-.72-.53-1.46-.01-2.19Z"/><path class="cls-2" d="M236.98,168.26c.96-.1,1.86,.03,2.74,.37,3.64,1.38,7.29,2.75,10.95,4.1,3.63,1.16,7.03,2.97,10.81,3M .57,1.72-10.71,1.56-21.72,2.69-32.54,.72-8.14,1.57-16.28,2.28-24.43,.05-.53,.11-1.07-.37-1.53l-.05,.02c.89-.36,1.8-.32,2.74-.14,7.88,1.32,15.65,3.34,23.59,4.2l-.09-.08c-2.76,20.32-4.83,40.72-6.47,61.16-.11,2.65-1.77,1.48-3.49,1.05-4.68-1.65-9.35-3.33-14.03-4.98-2.13-.58-4.15-1.81-6.39-1.74-1.48,17.84-1.41,35.8-2.17,53.68-.9,1.26-6.12-2.42-7.55-2.88-4.19-2.16-8.37-4.33-12.56-6.49-.99-.39-1.86-1.17-2.99-.76-.16,14.83,.1,29.71,.65,44.54,.02,1.22,.42,3.95-1.73,2.47-6.88-4.49-13.66-9.13-20.58-13.57-.44-.37-.97,.03-1.11,M .45,.18,13.76,1.73,27.52,2.44,41.27-1.1,.48-1.82-.56-2.68-1.08-6.27-4.89-12.53-9.79-18.8-14.68-4.06-3.61-2.66,.59-2.64,3.36,.74,7.84,1.49,15.68,2.26,23.52,.27,2.9,.73,5.78,.78,8.69-.44,1.25-2.27-.94-2.87-1.3-6.58-5.85-13.15-11.7-19.73-17.55-.72-.64-1.48-1.24-2.27-1.82-.12-.09-.47,.03-.78,.06,.34,8.68,1.89,17.38,2.78,26.04,.28,2.36,.57,4.72,.82,7.08-.06,.19-.53,.58-.82,.36-.65-.54-1.32-1.07-1.9-1.65-7.21-7.11-14.4-14.24-21.62-21.35-.84-.83-1.77-1.6-2.68-2.39-.06-.05-.25-.02-.38,0-.11,.02-.29,.08-.3,.12-.03,.43-.08,.M 86-.03,1.28,.76,6.43,1.52,12.87,2.3,19.3,.34,2.79,.73,5.57,1.1,8.35,.11,.82,.02,1.09-.36,1.08-.63-.02-.92-.39-1.23-.72-8.69-9.2-17.38-18.4-26.07-27.59-.56-.59-1.22-1.13-1.86-1.68-.12-.07-.59,.04-.63,.19,.08,5.59,1.09,11.16,1.56,16.74,.33,3,.69,6.01,1.04,9.01,.14,1.11-1.01,.85-1.36,.29-4.3-4.83-8.6-9.65-12.89-14.48-5.46-6.15-10.9-12.31-16.36-18.45-.94-.88-2.98-3.72-2.81-.62,.39,5.16,.82,10.32,1.21,15.48-.09,1.17,1.08,7.69-.76,6.2-11.76-13.33-23.09-27.05-34.67-40.53-1.25-1.21-.94-2.82-1.05-4.35-.02-5.39-.03-10.77-.04M -16.16,.04-.64-.08-1.41,.62-1.75,.05-.04,.29,.03,.36,.1,11.51,12.07,21.88,25.22,33.44,37.23,.12,.08,.57-.03,.61-.2,.01-4.2-.42-8.39-.68-12.58-.2-3.44-.64-6.88-.63-10.33,.18-.6,.73-.85,1.35-.21,10.02,10.51,19.59,21.45,29.79,31.79,.55,.21,.8-.25,.76-.76-.47-5.05-.96-10.09-1.43-15.14-.29-3.11-.57-6.23-.84-9.35-.04-.43-.08-.86-.04-1.29,.07-.42,.7-.87,1.07-.43,8.37,8.12,16.5,16.49,24.79,24.7,1.06,.82,1.8,2.34,3.26,2.32-.76-10.3-2.17-20.6-2.96-30.88,1.15-.37,1.79,.65,2.61,1.24,3.89,3.58,7.76,7.17,11.64,10.75,3.62,3.34,7.M 23,6.68,10.86,10.01,.39,.26,1.1,1.07,1.57,.76,.15-.16,.34-.35,.32-.53-.12-1.72-.27-3.44-.44-5.16-.85-9.56-2.1-19.1-2.38-28.68,.17-.92,1.36-.17,1.78,.19,7.59,5.94,14.82,12.31,22.54,18.08,1.01,.21,.87-.69,.89-1.39-.33-6.89-.99-13.76-1.44-20.65-.31-5.27-.6-10.54-.9-15.82-.02-.43,0-.86,.11-1.28,.24-.3,1.04-.25,1.37,.04,6.82,4.55,13.54,9.22,20.33,13.81,1.72,1.14,2.79,1.9,2.63-.93-.42-13.89-1.16-27.78-1.14-41.68,0-.3,0-.71,.49-.76,.36-.04,.81,.02,1.11,.18,3.39,1.76,6.75,3.56,10.12,5.34,3.6,1.9,7.19,3.8,10.79,5.7,.5,.26,.M 98,.27,1.54-.08,.25-15.69,.18-31.42,.94-47.11-.05-1.27,.36-2.67-.37-3.79h0Z"/><path class="cls-2" d="M1148.11,1317.93c.52-.78,.61-1.64,.71-2.5,.76-6.65,1.58-13.29,2.29-19.95,1.29-12.66,2.62-25.32,3.6-38.01,.2-.88,.04-2.44,1.36-2.31,5.52,1.61,10.85,3.8,16.29,5.65,1.48,.52,2.97,1.02,4.46,1.51,1.61,.52,1.97,.36,2.05-.89,.34-5.06,.63-10.11,.75-15.18,.6-11.19,.77-22.39,1-33.59,.03-1.18,.13-2.36,.2-3.54,.28-.8,1.44-.39,2-.15,6.17,3.06,12.24,6.28,18.36,9.42,.75,.24,2.15,1.41,2.7,.46,.42-13.11,0-26.28-.43-39.4-.11-2.37-.15M -4.74-.19-7.11,0-.18,.17-.37,.27-.56,.11-.2,.71-.16,1.11,.08,6.64,4.18,13.08,8.66,19.63,12.97,.68,.28,1.59,1.36,2.3,.7,.4-6.31-.61-12.69-.77-19.02-.34-7.53-1.1-15.05-1.41-22.57,.91-.31,1.59,.5,2.29,.95,7.08,5.44,14.01,11.09,21.17,16.42,.19,.08,.91,.15,.92-.26-.23-3.11-.42-6.23-.71-9.34-.84-8.91-1.81-17.82-2.7-26.73,.01-.38-.14-.96,.26-1.15,.12-.04,.32-.08,.39-.03,.61,.42,1.24,.81,1.78,1.29,7.42,6.54,14.72,13.2,22.21,19.67,1.5,.86,.97-1.93,.94-2.7-.33-3.22-.68-6.44-1.04-9.66-.71-6.33-1.48-12.65-2.23-18.98,0-.71-.42-M 1.66,.42-2.04,.05-.04,.26,0,.32,.06,8.16,7.68,15.95,15.74,23.98,23.56,.82,.62,1.42,1.89,2.57,1.79,.06,0,.18-.15,.18-.23-.05-1.07-.06-2.15-.18-3.21-.79-7.08-1.74-14.15-2.62-21.22,.05-2.09-1.68-7.79,1.79-3.9,9.11,9.46,17.86,19.27,27.18,28.52,.11,.07,.59-.08,.61-.25-.05-1.5-.04-3.01-.19-4.5-.7-7.08-1.54-14.16-2.24-21.24,0-.24,.43-.68,.71-.57,10.15,10.59,19.51,21.96,29.39,32.83,.7,.79,1.46,1.54,2.23,2.28,.1,.1,.46,.05,.7,.02,.07,0,.17-.16,.18-.25,.01-6.56-.89-13.11-1.23-19.67,.04-.95-.33-2.37,0-3.17,.25,0,.62-.04,.74,.M 07,11.57,13.02,22.62,26.52,34.02,39.7,.69,.81,1.37,1.6,1.37,2.63-.03,6.57-.06,13.14-.09,19.7-.16,2.41-7.18-6.95-7.99-7.51-7.77-8.8-15.54-17.6-23.32-26.39-.7-.79-1.47-1.54-2.22-2.29-.12-.07-.59,.06-.64,.19-.12,6.86,.78,13.76,1.02,20.63,.28,4.19-.83,2.61-2.9,.5-8.6-9.25-17.19-18.5-25.79-27.75-.64-.69-1.33-1.35-1.99-2.03-.2-.21-.45-.3-.7-.12-.55,.44-.29,1.21-.29,1.82,.77,8.37,1.55,16.74,2.28,25.11-1,.34-1.53-.51-2.19-1.06-8.72-8.62-17.23-17.45-26.05-25.96-.39-.26-1.02-.13-1.03,.41,.89,9.77,2,19.53,2.79,29.31,0,.3-.25,M 1.04-.68,.96-1.31-.63-2.26-1.85-3.37-2.75-6.35-5.86-12.69-11.74-19.04-17.6-.88-.81-1.84-1.57-2.77-2.34-.24-.23-.82,.15-.86,.31,.21,7.11,1.12,14.18,1.72,21.26,.33,3.98,.71,7.95,.92,11.93,0,2.45-2.15,.15-2.95-.45-6.14-4.99-12.28-9.99-18.43-14.97-.94-.76-1.93-1.49-2.94-2.2-.18-.08-.88-.09-.89,.3,.23,9.59,1.42,19.13,1.75,28.71,.01,3.32,.73,6.69,.41,9.99-.39,.48-1.28,.1-1.7-.2-6.78-4.61-13.54-9.22-20.33-13.81-.53-.26-1.04-.85-1.67-.74-.32,.03-.47,.17-.49,.43-.16,3.86,.13,7.75,.25,11.62,.42,10.65,.92,21.32,.63,31.97-.27,M .74-1.5,.16-2.01-.12-6.51-3.45-13.02-6.9-19.54-10.35-2.6-1.45-2.39-.26-2.45,2.03-.25,16.26,.01,32.54-1.08,48.78l.14-.06c-7.8-2.53-15.31-5.85-23.15-8.31-.49-.17-1.14,.17-1.17,.59-1.36,19.43-2.9,38.84-4.92,58.22l.12-.11c-8.74-.93-17.25-3.52-26-4.44l.08,.07Z"/><path class="cls-2" d="M945.03,1096.09s.1-.04,.15-.05c-.02,.06-.03,.12-.04,.18l-.11-.13Z"/><path class="cls-2" d="M977.4,1211.23s0-.05,.02-.07h.06l-.08,.07Z"/><path class="cls-2" d="M946.09,966.13c-.47,11.95-.98,23.94-2.39,35.81-2.44,2.72-5.03,5.32-7.75,7.78-1.2M 3,.47-8.98,6.1-9.16,4.58,1.5-9.93,2.48-19.91,3.45-29.9,.28-2.79,.52-5.58,.76-8.37,.03-.26-.15-.41-.47-.43-.61-.07-1.16,.48-1.67,.75-3.92,2.81-7.84,5.61-11.85,8.3-.97,.21-1.08-.33-.99-1.21,.72-10.75,2.32-21.47,2.12-32.25-.66-.63-1.64,.37-2.21,.74-3.58,2.91-6.83,6.2-10.59,8.87-.12,.07-.66-.07-.68-.15-.3-9.43,1.01-18.94,.71-28.4-.15-.56-.65-.93-1.36-.32-2.19,2.01-4.24,4.19-6.39,6.25-1.5,1.28-2.83,3.08-4.49,4.07-1-.3-.52-1.78-.66-2.62,.02-7.21,.36-14.43,.12-21.65-.02-.47,.31-1.22-.58-1.34-.72-.09-1.02,.58-1.4,1-2.68,2.M 97-5.34,5.95-8.03,8.91-.65,.59-1.12,1.45-2.14,1.15-.15-6.35-.21-12.7-.35-19.04-.02-.96,.09-1.94-.43-2.85-.52-.75-1.52,.74-1.92,1.08-2.48,2.95-4.92,5.92-7.39,8.87-.54,.43-1.11,1.75-1.91,1.36-.09-.06-.21-.15-.21-.23-.07-1.07-.18-2.15-.17-3.22,.08-5.07-.65-10.11-.84-15.17,0-.41-.66-.89-1.02-.59-2.94,3.43-5.48,7.15-8.26,10.7-.54,.56-.87,1.55-1.81,1.46-.1,0-.28-.11-.3-.19-.12-.53-.27-1.06-.29-1.59-.16-4.86-.46-9.68-1.05-14.51-.02-.18-.22-.35-.34-.52-.13-.19-.7,.05-.97,.42-2.8,3.8-5.53,7.64-8.34,11.44-.28,.3-.98,1.12-1.4M 3,.84-2.9-17.91,.83-19.71-10.9-3.31-.67,.66-1.09,2.1-2.18,2.01-.09,0-.22-.14-.25-.23-.18-.74-.4-1.48-.51-2.22-.49-1.37-.67-11.4-2.45-10.18-3.15,4.11-6.05,8.4-9.09,12.59-.33,.46-.63,.96-1.34,1.13-.57-.37-.69-.9-.78-1.43-.64-3.37-.9-6.7-2.05-9.96-1.62,.55-2.07,2.16-3.12,3.33-3,3.66-5.51,7.82-8.83,11.18-.15,.08-.57,.02-.65-.15-.32-1.15-.61-2.31-.91-3.47-.52-2-.97-4.02-1.91-5.93-.9-.43-1.57,.93-2.14,1.45-4,5.01-7.77,10.18-12.29,14.77-.19,.21-.88,.03-.98-.24-.9-2.58-1.54-5.24-2.35-7.84-.12-.22-.48-.58-.81-.54,.31-.65,.6M 4-1.3,.97-1.94,4.95-4.89,8.59-10.89,13.02-16.18,.17-.13,.79-.26,.95,.06,1.32,2.67,2.15,5.53,3.3,8.29,.78,.34,1.39-.78,1.84-1.26,2.55-3.55,5.08-7.11,7.61-10.66,1.04-1.24,1.4-2.77,2.98-2.75,1.01,3.33,2,6.55,2.98,9.76,1.15,.17,1.53-.88,2.19-1.67,2.4-3.62,4.77-7.25,7.14-10.87,.37-.57,.65-1.18,1.35-1.57,.58,.14,.8,.52,.9,.93,.95,3.47,1.56,7.03,2.85,10.39,.02,.05,.2,.09,.3,.08,.75-.12,1.35-1.44,1.85-2,2.17-3.34,4.31-6.7,6.47-10.05,.49-.59,.74-1.63,1.69-1.51,.1,0,.26,.11,.29,.2,1.24,3.69,1.52,7.65,2.38,11.45,.13,.37,.19,1M .01,.64,1.11,.24-.01,.58-.02,.68-.14,2.94-3.93,5.43-8.17,8.2-12.23,.24-.27,.78-.82,1.19-.59,1.53,4.66,1.2,9.89,2.59,14.63,.12,.33,.81,.23,.96,.11,.64-.82,1.25-1.66,1.83-2.51,2.13-3.12,4.25-6.24,6.37-9.36,.3-.44,.71-.61,1.39-.36,.86,5.42,1.81,10.87,2.06,16.34,0,.31,.52,.74,.72,.64,.22-.11,.47-.21,.63-.36,2-2.4,3.73-5,5.62-7.48,.95-1.3,1.88-2.61,2.88-3.89,.15-.19,.67-.2,1.12-.31,1.03,6.52,1.26,12.89,2.02,19.4,0,.14,.35,.28,.56,.38,.56-.07,.98-.74,1.37-1.1,2.64-3.26,5.21-6.53,7.85-9.8,.29-.36,.83-.6,.96-.45,.2,.25,.43M ,.53,.46,.8,3.36,24.32-3.24,28.21,11.55,11.79,.43-.4,1.2-1.25,1.8-.72,.95,7.9,.99,15.92,1.03,23.88,.11,.72-.27,2.36,.95,1.97,3.66-3.08,6.89-6.62,10.37-9.89,.37-.37,.8-.55,1.48-.24,.41,8.69,.4,17.41,.17,26.11-.03,1.07,.03,2.15,.1,3.22,.07,.19,.59,.54,.87,.31,3.27-2.35,6.23-5.08,9.37-7.58,.81-.43,2.55-2.66,3.29-1.6,.78,11.28-.67,22.6-.66,33.88,.32,.08,.66,.25,.79,.18,4.28-2.52,8.17-5.61,12.29-8.37,.33-.31,1.02-.46,1.43-.19,.11,.3,.25,.62,.23,.93Z"/><path class="cls-2" d="M993.69,1141.17c-4.01,23.59-10.58,46.74-16.27,M 69.99-7.64,.76-15.24,2.5-22.81,3.69-.7-.54-.49-1.16-.32-1.88,1.47-4.91,3.03-9.81,4.43-14.74,4.95-17.15,9.26-34.46,13.61-51.76,.11-.76,.41-1.8-.74-1.8-5.28,1.17-10.48,2.75-15.72,4.08-1.33,.19-4.94,2.13-4.32-.54,1.42-6.03,3-12.02,4.49-18.03,3.18-13.4,6.39-26.8,8.64-40.37,.03-.27-.54-.57-.88-.45-6.25,2.13-12.41,4.46-18.62,6.68,3.15-15.82,6.52-31.62,8.93-47.58,4.42-3.36,8.64-6.97,12.64-10.8,7.67-3.52,6.41-3.39,5.65,4.48-1.4,10.61-3.02,21.19-4.69,31.76-.61,4.68-2.18,9.36-2.24,14.06,.19,.79,1.92-.08,2.47-.16,3.96-1.36,7.M 91-2.75,11.86-4.12,2.73-.68,5.79-3.17,4.71,1.62-3.36,19.43-7.27,38.78-11.34,58.07-.04,.23,.54,.6,.85,.53,6.24-1.22,12.39-3.58,18.84-3.1,.24,0,.46,.2,.83,.37Z"/><path class="cls-2" d="M1072.64,698.95c-1.4,.77-2.71-.42-3.97-.94-6.16-2.88-12.31-5.78-18.49-8.64-1.21-.37-7.37-3.77-4.72-.23,3.3,4.94,6.61,9.87,9.9,14.81,.98,1.61,2.13,3.21-.79,1.96-5-2.12-9.97-4.27-14.99-6.36-1.91-.8-3.88-1.49-5.86-2.18-.28-.1-.72,.08-1.25,.16,3.95,5.97,7.9,11.8,11.85,17.75,.24,.37,.46,.78-.14,1.21-6.68-2.44-13.15-5.34-20.08-7.4-.19,.19-.5M ,.39-.46,.49,.19,.51,.42,1.01,.73,1.48,3.18,4.87,6.38,9.72,9.57,14.59,.51,.94,1.42,1.8,1.35,2.92-.01,.25-.44,.27-1.07,.06-4.83-1.64-9.66-3.28-14.5-4.91-.99-.22-2.02-.9-3.01-.42,.09,1,.87,1.79,1.4,2.64,3.06,4.91,6.17,9.81,9.25,14.72,.42,.67,.79,1.37,1.12,2.07,.07,.14-.12,.38-.23,.55-.7,.18-1.55-.31-2.25-.45-4.23-1.41-8.55-2.6-12.9-3.74-.38-.1-.79-.26-1.12-.01-.53,.39-.06,.78,.13,1.14,.2,.4,.46,.78,.69,1.17,2.97,5.07,5.94,10.14,8.89,15.22,.56,.97,1.03,1.98,1.52,2.98,.04,.09,.03,.27-.04,.3-.97,.49-2.03-.21-3.03-.35-3.M 46-.88-6.92-1.78-10.38-2.65-.63-.16-1.32-.25-1.94,.11,0,.89,.6,1.61,1.01,2.4,3.12,6.4,6.99,12.56,9.69,19.11,.02,.15-.31,.47-.43,.45-4.34-.67-8.62-1.7-12.93-2.53-1.85,0-.07,2.08,.18,2.92,3.63,7.51,6.89,15.12,9.87,22.83-.42,.46-.93,.5-1.47,.39-4.28-.97-8.58-1.88-12.93-2.5l.1,.06c-3.16-8.39-7.06-16.48-10.79-24.64-.1-.26,.29-.75,.59-.73,3.88,.22,7.75,.63,11.6,1.12,.54,.06,1.03-.42,.83-.84-3.1-6.46-6.77-12.65-10.13-18.98-.27-.59-1.16-1.69-.05-1.91,4.43,.03,8.67,1.5,13.04,1.81,.34-.02,.52-.2,.42-.43-3.01-6.16-7.05-11.82-M 10.46-17.77-.4-.66-1.03-1.27-.88-2.08,.62-.35,1.3-.24,1.94-.12,3.78,.74,7.63,1.31,11.33,2.3,.64,.17,1.3,.29,1.95-.09-2.91-5.93-7.36-11.22-10.83-16.89-.37-.76-1.31-1.46-.94-2.35l-.06,.09c4.6,.09,9.04,2.09,13.57,2.93,.67,.03,3.15,1.09,3.13,.09-3.75-6.23-8.35-11.99-12.33-18.08,.5-.45,1.02-.41,1.52-.28,5.6,1.52,11.19,3.06,16.75,4.72,1.52-.05-.2-1.69-.5-2.31-3.17-4.38-6.36-8.75-9.52-13.14-.6-.83-1.13-1.71-1.67-2.57-.03-.05,.05-.18,.12-.23,.53-.33,1.32,.06,1.9,.15,5.41,1.64,10.81,3.31,16.09,5.22,.85,.31,1.75,.53,2.64,.77M ,.12,.03,.52-.24,.49-.39-3.71-6.04-8.44-11.46-12.35-17.39-.06-.08-.07-.28-.03-.3,.21-.09,.49-.23,.68-.19,7.23,2.24,14.35,4.95,21.37,7.65,.74,.41,3.36,1.32,1.95-.63-3.87-5.42-7.75-10.84-11.62-16.26-.31-.37,.2-.65,.54-.58,5.19,1.67,10.18,3.94,15.25,5.91,3.84,1.57,7.61,3.22,11.43,4.82,.15,.05,.94-.03,.79-.39-.62-1.34-1.63-2.47-2.44-3.71-2.88-4.14-5.76-8.28-8.65-12.42-.31-.39-.8-1.17-.15-1.39,3.36,.81,6.49,2.58,9.68,3.86,7.48,3.14,14.67,6.98,22.1,10,.46-.19-.04-1.12-.18-1.46-2.14-3.48-4.32-6.94-6.47-10.41-.36-.57-.66-1M .17-.97-1.76-.03-.06,.06-.19,.14-.25,.55-.29,1.26,.24,1.8,.39,5.18,2.52,10.4,4.98,15.51,7.59,6.13,3.13,12.15,6.4,18.22,9.6,.64,.21,1.4,.92,2.06,.69,.09-.07,.21-.2,.18-.27-.24-.61-.47-1.23-.79-1.82-1.75-3.27-3.52-6.52-5.28-9.78-2.43-3.91-.46-2.77,2.21-1.38,13.71,7.07,26.68,14.97,39.84,22.63,.1,.05,.36,.07,.38,.03,.11-.17,.29-.4,.22-.55-2.16-4.86-4.37-9.72-6.45-14.61,.33-.77,1.4,.09,1.92,.29,16.78,9.5,32.47,20.24,48.68,30.43,.17,.07,.53-.14,.48-.34-.29-.94-.58-1.88-.92-2.81-1.43-3.93-2.87-7.85-4.3-11.78-.18-.51-.38-1M .03,.13-1.63,17.57,10.46,34.16,22.77,50.72,34.5,2.39,1.74,4.76,3.49,7.16,5.22,.12,.09,.47,.01,.7-.04,.5-.67-.13-1.73-.22-2.51-1.18-4.64-2.37-9.28-3.55-13.92-.34-1.55,1.11-.89,1.84-.32,2.12,1.5,4.25,2.99,6.34,4.51,18.33,13.32,36.62,27.01,54.1,41.27,1.89,1.53,3.82,3.04,5.75,4.54,.15,.12,.54,.15,.74,.07,.23-.14,.38-.55,.31-.83-.63-4.49-1.29-8.99-1.89-13.48-.17-1.58-1.29-6.16,1.65-3.68,26.66,20.93,52.78,42.49,78,65.1,.43,6.66,.06,13.37,.17,20.06-.18,1.21-.21,1.83-1.57,.74-3.28-3-6.54-6.02-9.8-9.03-20.71-19.14-42.18-37.M 93-64.17-55.99-.5-.3-1.35-1.24-1.85-.56,.28,5.6,1.44,11.12,2.08,16.69,.05,.54,.42,1.98-.48,1.97-18.61-14.89-36.6-30.74-55.95-45.19-2.82-2.17-5.64-4.32-8.47-6.48-.48-.37-.97-.76-1.86-.66,.82,5.76,3.1,11.32,3.86,17.1-.04,.22-.48,.62-.77,.45-13.33-10.15-26.6-20.47-40.4-30.27-4.6-3.32-9.31-6.55-13.97-9.81-.61-.36-1.22-.97-2-.77-.07,.01-.16,.19-.14,.29,.09,.42,.19,.84,.33,1.25,1.64,4.77,3.3,9.54,4.93,14.32,.06,.19-.03,.41-.08,.62-.32,.36-1.25-.22-1.64-.54-9.02-6.34-18.04-12.63-27.19-18.83-6.18-4.17-12.57-8.12-18.88-12.1M 6-.49-.21-1.17-.76-1.71-.55-.09,.06-.2,.19-.18,.26,.32,.82,.65,1.64,1.01,2.45,1.7,3.86,3.42,7.71,5.1,11.57,.17,.38,.11,.83,.12,1.25,0,.05-.21,.16-.27,.14-3.49-1.6-6.51-4.16-9.84-6.11-9.67-6.2-19.54-12.2-29.65-17.93-.76-.43-1.6-.78-2.41-1.15-.05-.02-.22,.05-.28,.11-.08,.08-.17,.21-.14,.28,.31,.71,.63,1.42,.99,2.11,1.96,3.78,3.93,7.55,5.89,11.33,.21,.44,.58,1.33-.23,1.27-11.09-6.25-22.07-12.7-33.53-18.56-.78-.41-1.64-.71-2.48-1.04-.03-.01-.27,.16-.25,.21,1.67,4.12,4.65,7.73,6.8,11.65,1.49,2.28,2.6,4.81,4.36,6.9l-.07-M .07c-1.42,.87-2.86-.8-4.16-1.28-8.84-4.71-17.86-9.19-27.06-13.43-1.27-.33-.49,1.16-.08,1.64,3.82,5.64,7.15,11.68,11.27,17.09l.04-.04Z"/><path class="cls-2" d="M329.09,759.62c1.2-1.05-.46-2.45-.81-3.57-1.86-3.58-3.71-7.16-5.58-10.73-.21-.41-.34-.8,.08-1.27,10.94,6.27,21.86,12.56,33.17,18.4,.83,.3,2.35,1.57,3.12,1.06,.32-.78-.76-1.61-1.04-2.33-2.82-4.65-5.64-9.29-8.46-13.94-.34-.77-1.22-1.48-.97-2.36,.64-.54,2.27,.9,3.04,1.15,8.72,4.69,17.69,9.06,26.73,13.34,.44,.21,.87,.51,1.45,.37,.7-.04-.48-1.57-.65-1.98-3.56-5.42M -7.19-10.8-10.48-16.38-.46-1.49,2.46,.16,2.99,.41,8,3.55,15.64,7.79,23.87,10.81,.64-.73-.24-1.38-.59-2.06-3.36-5.03-6.74-10.05-10.09-15.09-.6-1.22-1.69-2.5,.58-1.71,6.6,2.99,13.33,5.66,20.08,8.3,.7,.22,1.48,.67,2.2,.24,.06-.03,.08-.2,.04-.27-.61-.95-1.24-1.9-1.86-2.85-3.33-5.04-6.66-10.08-9.97-15.13-.08-.13,.11-.39,.21-.57,6.87,1.95,13.51,5.66,20.52,7.21,.91-.33-.86-1.97-1.05-2.55-3.45-5.59-7.54-10.87-10.59-16.67,.45-.8,1.72,.12,2.42,.2,5.11,1.65,10.14,3.54,15.28,5.07,1.87,.2,.28-1.64-.13-2.38-3.48-5.45-7.01-10.89-M 10.28-16.47-.21-.36-.17-.82-.25-1.24l-.1,.05c.68-.26,1.31-.06,1.93,.13,3.27,.99,6.52,2.01,9.8,2.97,1.51,.44,3.07,.76,4.62,1.1,.09,.02,.45-.33,.4-.44-3.29-6.27-7.31-12.19-10.55-18.44-.2-.6-1.36-1.97-.38-2.19,4.17,.68,8.18,2.09,12.29,3.03,.92,.13,1.87,.5,2.68-.16-3.48-6.86-7.2-13.62-10.66-20.5-.2-.39-.43-.8,0-1.19,.33-.3,.75-.13,1.12-.06,4.03,.87,8.07,1.63,12.11,2.43,.88,.03,.81-.63,.54-1.19-3.92-8.06-7.53-16.26-10.7-24.58,.5-.42,1.02-.45,1.56-.34,4.28,.96,8.58,1.78,12.9,2.5l-.11-.06c2.87,8.48,7.08,16.44,10.72,24.67,M .18,1.24-3.79,.38-4.67,.44-2-.2-3.99-.47-5.99-.7-.76-.09-1.7-.53-2.23,.11-.48,.58,.18,1.23,.49,1.81,3.35,6.34,6.84,12.62,10.12,19,.13,.26-.26,.69-.62,.65-4.28-.26-8.45-1.18-12.67-1.87-1.24,.07-.43,1.17-.15,1.79,3.17,5.48,6.41,10.93,9.81,16.28,.37,.78,2.03,2.51,.13,2.49-4.2-.61-8.43-1.41-12.54-2.43-3-.68-.86,1.63-.23,2.95,3.14,4.76,6.32,9.5,9.47,14.25,.21,.51,1.71,2.12,.65,2.21-5.01-.61-9.79-2.27-14.71-3.35-.48-.12-1.03-.06-1.55-.06-.07,0-.22,.16-.2,.22,2.43,4.6,5.9,8.67,8.73,13.06,1.05,1.5,2.14,2.99,3.2,4.49,.78,.8M 5-.41,1.03-1.09,.87-21.55-5-21.6-10.22-7.48,9.83,.74,1.02,1.48,2.05,2.19,3.09,.11,.16,.13,.54,.09,.56-.36,.09-.78,.21-1.13,.14-5.55-1.55-10.98-3.55-16.48-5.27-.84-.21-4.79-2.1-3.13,.3,3.38,4.65,6.77,9.3,10.15,13.95,.61,.84,1.21,1.67,1.79,2.52,.16,.24,.07,.43-.22,.53-.62,.16-1.28-.24-1.88-.37-6.87-2.47-13.79-4.8-20.56-7.5-3.77-1.39,.02,2.52,.7,3.72,3.27,4.58,6.7,9.05,9.85,13.71-.29,.13-.56,.35-.7,.3-1.13-.34-2.25-.69-3.34-1.11-6.8-2.6-13.51-5.34-20.12-8.23-1.06-.46-2.15-.87-3.24-1.3-.47-.2-.68,.46-.61,.54,3.19,5.14,M 6.9,9.97,10.29,14.98,.58,.9,1.67,1.94,.64,2.93h.03c-.39-.62-1.19-.83-1.88-1.13-9.92-4.29-19.75-8.75-29.52-13.35-.72,.55-.29,.89,.11,1.71,2.41,3.97,4.96,7.88,7.32,11.87,.08,.15-.08,.4-.17,.59-9.44-3.55-18.46-8.87-27.45-13.41-3.13-1.67-6.31-3.29-9.47-4.92-.09-.05-.34-.06-.36-.03-.11,.18-.3,.41-.24,.56,2.07,4.23,4.49,8.29,6.69,12.45,.14,.42,.67,1.15,.3,1.51-.07,.06-.25,.12-.31,.09-.93-.42-1.87-.83-2.76-1.3-13.88-6.97-26.81-15.32-40.23-22.64-.39,.58-.11,1.07,.12,1.58,1.96,4.35,4.04,8.67,5.92,13.05,.1,.27-.06,.6-.12,1.0M 6-16.33-9.07-31.94-19.21-47.29-29.41-.82-.55-1.68-1.08-2.55-1.58-.13-.08-.44,0-.64,.07-.07,.02-.13,.2-.11,.29,1.57,5.24,3.87,10.28,5.44,15.52,.03,.17-.16,.37-.29,.53-.03,.04-.28,0-.38-.05-19.29-12.07-38.12-25.26-56.35-38.75-2.13-1.52-2.05-.62-1.72,1.41,1.17,4.64,2.38,9.28,3.58,13.91,.12,.52,.35,1.09-.26,1.38-18.61-12.23-36.55-26.45-54.16-40.12-19.54-15.21-14.02-15.36-12.05,7.73-.21,1.07-1.62-.11-2.09-.45-12.61-9.87-25.14-19.81-37.38-29.98-13.27-11.02-26.18-22.28-39.09-33.59-1.97-1.78-1.85-1.49-1.86-3.71,0-5.92-.05-M 11.85-.07-17.77,0-.41-.09-.86,.36-1.18,.44-.35,.96,.25,1.3,.46,8.25,7.54,16.45,15.11,24.76,22.61,15.73,14.18,31.77,27.91,48.17,41.4,.75,.62,1.56,1.18,2.36,1.75,.1,.05,.61-.07,.64-.22-.08-6.12-1.6-12.19-2.16-18.3-.08-.43,.53-.48,.83-.37,20.5,17.05,41.15,34.34,62.66,50.4,.78,.59,1.64,1.11,2.47,1.65,.29,.19,.74-.21,.73-.45-1.33-5.6-2.78-11.18-3.99-16.81-.03-.14,.23-.33,.39-.47,13.8,9.97,27.4,21.03,41.63,30.95,4.2,3.03,8.51,5.97,12.79,8.93,.6,.41,1.3,.73,1.97,1.07,.08,.04,.27,.02,.35-.03,.09-.06,.19-.2,.16-.28-.23-.84-M .46-1.68-.75-2.5-1.45-4.15-2.92-8.29-4.37-12.43-.71-2.09,1.1-1.14,2-.43,4.86,3.41,9.67,6.86,14.57,10.24,10.42,7.14,20.96,14.32,31.93,20.83,.09,.05,.33,.06,.38,.02,.14-.15,.34-.35,.31-.5-1.74-4.77-4.08-9.34-6.04-14.03-.04-.35-.54-.95-.06-1.19,13.91,8.18,27.75,17.34,42.04,25.5,0,0,.15-.11,.15-.11l-.22,.06Z"/><polygon class="cls-2" points="431.54 461.92 431.54 461.99 431.44 461.99 431.54 461.92"/><polygon class="cls-2" points="433.83 504.58 433.98 504.58 433.98 504.67 433.83 504.58"/><path class="cls-2" d="M439.63,542M .73v.07s-.05,.01-.07,.02l.07-.09Z"/><path class="cls-2" d="M500.72,574.81c-12.24,10.19-9.53,13.6-13.22-3.65-1.02-5-1.89-10.01-2.91-15-.56-.58-1.45,.18-1.96,.5-2.64,1.99-5.26,4.01-7.9,6.02-3.71,3.14-3.22-.18-3.81-3.07-1.3-6.48-2.37-12.99-3.18-19.53-.36-2.35-.47-4.76-1.08-7.05-.29-.62-1.18-.44-1.65-.14-3.39,1.89-7.23,3.53-11.02,4.65-1.71-.07-1.61-6-2.05-7.52-1.41-9.19-1.88-18.46-2.97-27.68-.3-1.74-2.41-.75-3.56-.49-3.82,.83-7.54,2.32-11.43,2.73-.66-14.21-2.43-28.35-2.44-42.59,4.51-.35,8.84-1.58,13.28-2.4,.69-.19,2.21M -.4,2.4,.44,.54,13.34,.34,26.74,1.62,40.03,.42,1.53,7.56-1.57,8.7-2.06,1.5-.71,2.93-1.53,4.39-2.3,.64-.34,1.34-.44,1.47-.2,.15,.28,.32,.58,.34,.87,.55,11.43,1.47,22.81,2.68,34.18,.67,1.75,3.01-.78,4.01-1.22,2.36-1.61,4.7-3.23,7.06-4.84,.97-.62,3.11-2.53,3.26-.29,.95,9.89,1.9,19.77,3.69,29.56,.07,.42,.88,.63,1.26,.32,16.53-12.83,9.14-12.69,14.91,13.3,.03,2.48,.07,4.95,.11,7.43Z"/><path class="cls-2" d="M670,602.27s.04-.07,.06-.1c.03,.02,.06,.03,.09,.05l-.15,.05Z"/><path class="cls-2" d="M501.37,620.47c-5.26-14.21-1.M 45-10.71-13.2-1.45-.8,.49-1.3-.35-1.55-.97-2.33-6.86-4.7-13.7-6.68-20.63-.27-.94-.61-1.87-.98-2.79-.04-.1-.48-.2-.67-.15-2.99,1.53-5.7,3.61-8.61,5.33-1.02,.56-2.41,1.66-2.79-.18-2.5-8.81-5.07-17.6-7.09-26.53-.07-.7-.58-1.46-1.41-1.15-3.57,1.53-7.1,3.12-10.76,4.44-.44,.16-1.16-.15-1.26-.54-.64-2.53-1.35-5.06-1.89-7.6-1.53-8.49-4.04-16.89-4.85-25.45,4.47-1.3,8.87-3.54,13.45-4.21,1.82,10.65,3.79,21.3,6.14,31.85,.11,.42,.76,.63,1.27,.42,3.21-1.38,6.22-3.01,9.22-4.66,.57-.27,1.44-.99,2.03-.49,2.58,8.75,4.08,17.8,6.73,26M .57,.42,1.7,2.03,.35,2.85-.29,2.72-2.25,5.36-4.55,8.11-6.77,.44-.35,1.02-.2,1.18,.32,.52,1.78,1.04,3.57,1.53,5.35,1.8,6.02,2.89,12.38,5.52,18.15,1.14,.74,2.68-1.79,3.51-2.43,.07,4.62,.14,9.24,.2,13.86Z"/><path class="cls-2" d="M697.61,575.53c-.09,.33-.07,.68-.26,.94-3.24,4.58-6.45,9.22-9.75,13.77-.27,.34-.96,.48-1.42,.25-2.57-1.24-4.97-2.56-7.64-3.65-3.5,4.93-5.32,10.32-8.48,15.33-2.56-1.32-4.99-2.94-7.63-4.07-.2-.04-.57,.06-.69,.19-2.16,3.61-3.57,7.67-5.44,11.45-.65,1.19-.84,2.63-2.01,3.44-3.13-1.14-4.94-3.29-8.15M -4.37-2.02,4.12-3.43,8.39-5.18,12.61-.31,.8-.49,1.65-1.34,2.42-3.06-1.14-4.93-3.56-7.94-4.84-1.9,.93-4.95,15.69-6.65,14.48-2.12-1.56-3.8-3.62-5.72-5.42-.42-.41-.8-.87-1.66-1-2.37,4.31-2.93,9.47-5.35,13.74-.64,0-1.01-.31-1.32-.66-1.74-1.92-3.46-3.85-5.2-5.77-.57-.57-.9-1.18-1.87-.98-1.74,4.21-2.71,8.88-4.79,12.91-.11,.11-.6,.14-.68,.05-.75-.75-1.48-1.52-2.15-2.32-1.63-1.97-3.22-3.97-4.82-5.96-.17-.21-.93-.16-1.03,.07-1.72,3.92-3.18,7.99-4.64,11.98-.82,.14-1.2-.17-1.62-.73-1.87-2.62-3.7-5.25-5.57-7.87-.47-.5-.95-1.71M -1.8-1.21-2.15,3.6-3.14,7.85-5.22,11.5-.2,.31-.78,.14-.96,0-2.88-3.57-4.71-8.31-7.75-11.64-.62,.29-.89,.78-1.13,1.29-1.73,3.38-3.11,6.94-5.15,10.15-.74-.34-1.05-.81-1.34-1.31-1.95-3.43-3.9-6.86-5.86-10.28-.65-.84-.8-2.14-2.05-2.22-1.5,2.29-2.78,4.73-4.18,7.1-.09-6.38-.18-12.75-.27-19.13,1.41,3.28,2.52,6.69,4.26,9.83,.86,1.21,1.91-.94,2.26-1.62,1.46-2.66,2.91-5.33,4.38-7.99,.26-.46,.45-.99,1.27-1.22,2.52,4.31,4.56,8.96,7.04,13.34,.21,.35,.91,.52,1.17,.09,1.84-3.45,3.39-7.03,5.09-10.54,.19-.4,.47-.76,1.14-.91,2.64,3.M 7,4.21,7.98,7.15,11.48,.67-.05,.97-.36,1.15-.79,1.73-3.83,3.06-7.86,5.12-11.53,.8,.27,1.08,.76,1.39,1.23,1.68,2.58,3.36,5.16,5.07,7.72,.34,.46,.94,1.38,1.61,.92,2.25-3.92,3.12-8.57,5.35-12.48,.17-.26,.78-.26,.99,.02,2.15,2.73,3.91,5.76,6.38,8.21,.92,.4,1.27-1.52,1.65-2.13,1.46-3.57,2.7-7.24,4.28-10.77,.08-.17,.34-.34,.56-.39,.91-.13,1.3,.93,1.85,1.46,1.43,1.7,2.79,3.45,4.24,5.12,.51,.56,.92,.72,1.28,.58,.41-.15,.55-.43,.67-.74,1.39-3.48,2.77-6.97,4.17-10.45,.52-.8,.83-3.19,2.11-2.65,2.02,2.03,4.05,4.02,6.1,6,.2,.19M ,.94,.09,1.05-.14,2.29-4.68,3.82-9.74,6.39-14.27,.08-.11,.56-.18,.7-.1,2.14,1.24,3.94,2.92,5.94,4.36,.39,.29,.84,.55,1.6,.44,2.54-4.77,4.6-9.84,7.22-14.59,.26-.46,.87-.61,1.29-.32,1.43,.97,2.85,1.97,4.3,2.94,.86,.39,2.04,1.81,2.97,.95,2.69-5.01,5.59-10.03,8.08-15.11-.58-1.17-2.02-1.68-3.05-2.5-1.22-.98-2.41-2.02-3.88-2.86-1.2,.56-1.53,1.66-2.15,2.69-1.94,3.55-3.88,7.11-5.83,10.65-.49,.64-.79,1.97-1.79,1.87-2.15-1.15-3.85-3.02-5.8-4.47-.38-.31-.79-.58-1.52-.51-3.01,4.79-5.02,10.16-7.76,15.07-.74,0-1.11-.28-1.43-.62-M 1.84-1.84-3.39-3.98-5.45-5.58-.13-.08-.63,0-.69,.11-.61,1.08-1.23,2.16-1.73,3.27-1.5,3.34-2.96,6.69-4.43,10.04-.18,.43-.47,.76-1.07,1.01-2.6-2.08-4.08-5-6.33-7.33-.73,.12-1,.47-1.17,.87-1.96,4.22-3.5,8.65-5.72,12.74-1.31,1-4.72-5.69-5.8-6.78-1.02-1.43-1.53-2.08-2.44-.07-1.85,3.88-3.2,8.07-5.32,11.81-.42,.17-.98-.35-1.22-.62-1.62-2.6-3.21-5.21-4.8-7.83-.3-.48-.57-.97-1.33-1.31-2.52,4.02-3.87,8.7-6.14,12.87-.72-.1-1.04-.44-1.25-.83-1.52-2.76-3.15-5.48-4.31-8.36-.32-.81-.83-1.57-1.27-2.34-.1-.12-.57-.12-.69,0-2.59,3.8M 6-3.78,8.43-6.46,12.2-1.22-.53-1.44-1.92-1.99-3.01-1.49-3.57-2.95-7.15-4.46-10.82-1.22,.04-1.47,1.18-2,2.03-1.58,2.86-3.15,5.72-4.74,8.57-1.53,2.68-1.82,.18-2.58-1.32-1.61-4.44-3-8.95-4.79-13.34-.05-.13-.36-.19-.53-.27-.65,.3-.89,.81-1.19,1.29-1.44,2.29-2.87,4.59-4.32,6.87-.13-9.42-.27-18.85-.41-28.27,.16-.09,.36-.14,.62-.12,.64,.72,.74,1.59,.96,2.43,1.12,4.32,2.24,8.64,3.39,12.96,.23,.83,.55,1.66,.89,2.47,.12,.15,.76,.35,.96,.07,2.72-3.51,4.6-7.58,7.28-11.13,.11-.13,.47-.14,.72-.17,.42,.11,.41,.76,.58,1.1,1.35,4.3M 9,2.69,8.78,4.06,13.16,.22,.44,.42,1.2,.91,1.38,.22-.05,.52-.11,.6-.25,.55-.86,1.07-1.74,1.57-2.62,1.6-2.84,3.19-5.69,4.81-8.53,.23-.27,.71-.9,1.13-.61,2.21,4.21,3.05,9.14,4.97,13.53,1.2,.08,1.35-.96,1.95-1.85,1.67-3.17,3.33-6.35,4.97-9.54,.31-.59,.61-1.19,1.29-1.6,.73,.59,.91,1.33,1.16,2.06,1.15,3.3,2.29,6.7,4.05,9.79,.08,.13,.35,.21,.56,.26,2.93-3.95,4.2-9.21,7.08-13.3,.64-.36,1,.37,1.25,.84,.99,1.47,3.63,9.64,5.27,8.96,2.65-4.27,4.34-9.08,6.88-13.42,.32-.44,.91-.25,1.14,.13,1.61,2.69,2.86,5.76,5,8.06,1.05,.43,1.M 39-1.39,1.89-2.04,1.93-3.78,3.84-7.58,5.75-11.37,.21-.42,.52-.75,1.24-.91,.89,.97,5.12,9.2,6.42,7.08,2.23-4.27,4.54-8.51,6.81-12.76,1.29-2.5,1.75-2.05,3.19,.02,1.34,1.49,2.7,2.95,4.07,4.42,.23,.25,.82,.18,1.01-.11,3.21-4.98,5.73-10.28,9.11-15.17,.46,.15,.92,.19,1.14,.39,1.81,1.59,3.31,3.49,5.29,4.86,1.28,.49,1.75-1.38,2.46-2.11,2.83-4.04,5.65-8.08,8.47-12.12,.32-.45,.62-.94,1.14-.99,2.42,1.88,4.73,3.68,7.07,5.51,.2,.43-.2,.76-.45,1.12-3.34,4.8-6.75,9.56-10.05,14.39-.25,.38-.14,.88,.29,1.16,1.78,1.14,3.57,2.29,5.37,M 3.42,2,1.23,2.22,.45,3.41-1.14,2.88-4.01,5.75-8.03,8.64-12.05,.32-.46,.64-.94,1.37-1.07,2.66,1.13,5.01,2.91,7.59,4.3Z"/><path class="cls-2" d="M196.48,1198.45c19.59-.23,39.32,.32,58.96-.25,5.19-.09,5.05-.3,2.78,3.32-2.94,4.84-6.18,9.53-8.95,14.47-.23,1.29,2.14,.59,2.9,.74,3.1-.11,6.19-.21,9.29-.38,12.89-.76,25.82-1.27,38.67-2.42,1.31-.11,2.65-.35,4.06,.02-.14,1.37-1.38,2.28-2.11,3.4-3.34,4.3-6.69,8.59-10.03,12.89-.42,.55-.79,1.12-1.17,1.69-.13,.19,.34,.69,.64,.68,13.4-.68,26.76-2.38,40.1-3.8,2.66-.3,5.34-.52,8.01-.M 77,.43-.04,.48,.41,.42,.72-4.93,5.94-10.39,11.53-15.5,17.34-.46,.51-1.05,.99-.92,1.74,14.79-1.07,29.49-4.03,44.24-5.65,1.48,.34-.13,1.37-.78,2.2-5.29,5.31-10.6,10.6-15.89,15.91-.94,1.21-4.53,3.63-.68,3.11,12.98-1.81,25.91-3.96,38.84-6.08,.2,0,.74,.33,.49,.62-6.83,6.86-14.09,13.31-21.08,20.02-.45,.54-3.06,2.49-1.6,2.72,12.29-1.88,24.54-3.99,36.81-5.96,.55-.08,1.04,.21,.55,.75-8.17,7.49-16.6,14.71-24.86,22.1-.81,.72-1.61,1.44-2.38,2.19-.12,.12-.06,.39-.02,.58,.83,.33,2.22-.08,3.15-.11,4.9-.73,9.79-1.47,14.68-2.24,5.6M 2-.66,11.42-2.33,16.98-2.51,.13,.91-1.07,1.46-1.69,2.04-9.37,8.04-18.75,16.07-28.13,24.1-.73,.63-1.44,1.28-2.11,1.95-.12,.12,.01,.39,.04,.67,10.55-.81,20.9-3.02,31.46-3.85,0,.32,.11,.6-.02,.71-.87,.82-1.76,1.63-2.7,2.4-10.58,8.76-21.16,17.51-31.74,26.26-.84,.7-1.67,1.4-2.47,2.13-.14,.12-.17,.43-.08,.57,.7,.5,1.83,.14,2.66,.16,4.15-.36,8.3-.73,12.45-1.09,4.28-.38,8.57-.76,12.85-1.14,.36-.03,.81-.13,.97,.25,.15,.35-.15,.62-.42,.85-.83,.7-1.68,1.4-2.53,2.09-13.61,10.89-27.14,21.9-40.81,32.73-.9,.78-2.27,.63-3.42,.66-7M .14,0-14.28,.02-21.43,.02-5.03,.24-1.35-1.89,.44-3.41,5.6-4.51,11.21-9.02,16.8-13.53,5.78-4.67,11.54-9.36,17.31-14.04,1.75-1.48,4.74-3.28,.22-2.82-8.92,.76-17.73,1.29-26.68,1.94,.07-1.5,1.76-2.09,2.7-3.08,9.7-8.08,19.41-16.16,29.11-24.25,1.65-1.54,4.67-3.33,.11-2.83-9.2,1.06-18.39,2.14-27.59,3.15-.57,0-1.39,.16-1.87-.18-.06-.09-.13-.25-.08-.31,.57-.59,1.13-1.19,1.76-1.74,8.47-7.39,16.94-14.76,25.41-22.15,.65-.71,3.52-2.74,.98-2.52-11.17,1.4-22.23,3.61-33.46,4.36-1.1-.07-.21-1.11,.21-1.46,7.18-6.57,14.39-13.12,21.56M -19.7,.64-.78,4.21-3.36,1.45-3.03-7.96,1.09-15.92,2.19-23.89,3.27-4.39,.5-8.76,1.36-13.18,1.52-1.51-.16,.44-1.72,.86-2.23,5.77-5.69,11.56-11.37,17.33-17.05,2.45-2.42,2.89-3-1.09-2.57-12.89,1.79-25.77,3.51-38.74,4.64-.2-.01-.75-.35-.58-.65,.77-.88,1.54-1.77,2.34-2.63,4.73-5.11,9.48-10.2,14.21-15.31,.32-.5,1.21-1.1,1.07-1.65-.16-.14-.38-.37-.55-.36-3.88,.38-7.75,.8-11.62,1.19-9.09,.92-18.17,1.87-27.27,2.68-2.14,.19-4.29,.34-6.43,.5-.41,.03-.8-.02-1.01-.34-.22-.34,.04-.62,.25-.88,4.59-5.95,9.7-11.56,13.94-17.76,.06-.1M -.21-.47-.34-.47-4.17-.15-8.31,.42-12.47,.65-12.99,.88-26.06,2.03-39.07,2.11-.97-.52,.36-1.59,.55-2.26,3-4.7,6.03-9.39,9.03-14.08,.43-.67,.79-1.36,1.11-2.07,.06-.13-.18-.47-.35-.51-3.46-.36-7,.09-10.48,.05-15.88,.33-31.8,.8-47.67,.27-.79-.37-.06-1.41,.09-2.01,2.25-5.07,4.52-10.14,6.76-15.21,.26-.59,.77-1.16,.44-1.85l-.13,.07Z"/><path class="cls-2" d="M1007.42,688.18c-.81,.29-1.58,.05-2.35-.13-4.13-.94-8.26-1.91-12.39-2.84-1.44-.16-2.91-.94-4.32-.41,3.83,6.01,9.39,11.13,12.99,17.3-.65,.29-1.16,.17-1.68,.05-4.52-1.04M -9.1-1.9-13.73-2.55-.42-.05-1.77-.37-1.6,.32,3.41,5.29,7.47,10.17,11.13,15.3,.33,.67,1.48,1.54,1.03,2.29-.15,.13-.5,.19-.73,.16-4.35-.69-8.72-1.3-13.09-1.85-.77-.05-1.58,.4-.86,1.18,3.26,4.7,6.54,9.39,9.8,14.08,.55,1.04,3.37,3.9,.58,3.65-4.39-.49-8.78-1.02-13.2-1.28l.09,.07c-4.07-5.7-8.14-11.4-12.21-17.1-.33-.46-.77-.9-.32-1.56,4.23-.22,8.54,.29,12.78,.43,.34,.02,.7-.45,.54-.69-3.37-4.96-7.33-9.53-10.94-14.33-.36-.69-1.64-1.46-1.13-2.27,.16-.2,.73-.29,1.1-.26,2.15,.13,4.3,.28,6.43,.49,2.27,.22,4.53,.52,6.8,.76,.22-M .01,.77-.28,.58-.61-3.78-5.15-8.08-9.92-12.08-14.91-.37-.45-.8-.87-.61-1.56,5.44,.13,10.84,1.44,16.27,1.94,.45,.07,.51-.5,.39-.69-4.24-5.12-8.52-10.23-12.87-15.27-.09-.11,.05-.38,.14-.55,.04-.07,.23-.11,.36-.13,6.08,.47,12.18,2.35,18.14,2.77,.45-.52-.05-.96-.38-1.39-1.73-2.05-3.46-4.11-5.23-6.14-.53-1-8.37-8.49-6.35-8.45,7.17,.5,14.03,2.93,21.02,4.22,1.3-.32-4.26-5.81-4.8-6.75-2.21-2.58-4.47-5.12-6.7-7.69-.45-.52-1.03-1.01-1.09-1.7,.59-.38,1.21-.18,1.84-.02,6.7,1.61,13.42,3.18,19.94,5.24,.99,.31,2.04,.51,3.07,.75,.M 1,.02,.26-.07,.35-.14,.06-.05,.1-.18,.06-.24-.3-.48-.59-.97-.95-1.41-2.12-2.62-4.27-5.23-6.41-7.84-.56-.87-1.89-1.67-1.83-2.75,.19-.4,.68-.18,1.05-.08,5.89,1.54,11.66,3.34,17.37,5.26,3.35,1.12,6.68,2.28,10.04,3.4,.21,.07,.56,.03,.74-.07,.13-.07,.2-.39,.11-.52-2.76-4.12-6.14-7.81-8.94-11.9,.74-.38,1.25-.18,1.95,.07,6.58,2.21,13.14,4.46,19.54,6.98,3.99,1.57,7.98,3.11,11.99,4.65,.18,.07,.55,0,.7-.11,.14-.11,.21-.41,.12-.55-.79-1.25-1.6-2.49-2.45-3.71-1.65-2.79-4.45-5.6-5.53-8.54,.13-.25,.37-.32,.67-.21,4.83,1.91,9.72,M 3.72,14.46,5.74,8.13,3.34,16.1,7.05,24.08,10.55,.16-.19,.44-.39,.4-.5-.24-.61-.51-1.22-.85-1.8-1.95-3.31-3.93-6.61-5.89-9.92-.29-.48-.51-.99-.73-1.5-.03-.07,.02-.24,.09-.26,.23-.07,.54-.19,.7-.12,2.27,.94,4.54,1.88,6.76,2.89,13.07,5.7,25.6,12.59,38.31,18.53,.14-.15,.36-.39,.3-.51-1.69-3.51-3.43-7.01-5.13-10.53-.58-1.2-1.09-2.42-1.62-3.63-.02-.16,.32-.4,.5-.34,6.57,2.78,12.76,6.44,19.13,9.63,10.46,5.52,20.7,11.28,30.85,17.16,.87,.5,1.76,.99,2.67,1.45,.14,.07,.44-.03,.64-.1,.37-.41-.26-1.35-.32-1.85-1.65-4.32-3.31-8.M 64-4.95-12.97-.15-.39-.26-.81,.22-1.15,21.22,11,41.16,24.15,61.3,36.87,.58,.13,1.33,.43,1.23-.44-.36-1.48-.77-2.95-1.15-4.42-1.01-3.9-2.03-7.8-3.02-11.7-.03-.27,.19-.78,.58-.65,24.73,14.98,48.65,31.67,72.16,48.28,.13,.04,.56-.12,.62-.29,.06-.21,.12-.42,.09-.63-.58-4.17-1.19-8.34-1.76-12.52,.06-1.17-1.63-6.89,.75-5.24,28.99,19.99,57.33,40.95,84.58,63.1,.27,6.42,.04,12.89,.11,19.32-.08,.63,.22,1.35-.38,1.82-.74,.39-2.05-1.14-2.76-1.63-17.1-14.28-34.28-28.34-52.11-41.97-8.36-6.41-16.88-12.69-25.34-19.03-.71-.44-1.39-1M .22-2.32-1.03-.3,.24-.2,.84-.2,1.2,.58,5.78,2.1,11.53,2.17,17.33,0,.09-.44,.23-.64,.21-1.13-.44-2.05-1.41-3.05-2.08-21.46-16.46-43.8-32.64-66.66-47.47-1.02-.26-.52,1.3-.5,1.83,1.14,4.43,2.32,8.85,3.49,13.27,.24,.73,.41,1.45,.11,2.19-.95-.03-1.64-.49-2.35-1.05-18.89-12.67-38.08-26.52-58.21-37.2-.16,.1-.24,.39-.19,.57,1.5,4.48,3.27,8.88,4.86,13.33,.23,.62,.35,1.26,.51,1.89,.02,.41-.57,.37-.83,.33-16.62-10.2-33.45-20.74-50.96-29.6-.2-.09-.57,.09-.55,.29,2.01,4.82,4.44,9.47,6.6,14.22,.07,.22-.02,.76-.36,.73-13.81-7.06-M 27.12-14.94-41.22-21.56-1.16-.5-2.26-1.37-3.6-1.11,0,0,.18-.14,.18-.14l-.06,.1c.06,.31,.04,.66,.2,.94,2.5,4.36,5.03,8.71,7.55,13.07l.08-.02c-1.63,.7-3.16-.9-4.64-1.42-11.24-5.28-22.43-11.55-34.26-15.55-.37,0-.35,.41,.12,1.14,1.85,2.87,3.72,5.74,5.61,8.59,1.9,2.95,2.26,3.8,1.78,3.78-1.68-.07-2.88-1.01-4.26-1.6-8.52-3.69-17.06-7.36-25.85-10.63-4.52-1.83-2.81-.03-1.06,2.58,2.17,3.22,4.81,6.18,6.69,9.57,0,.15-.38,.37-.53,.33-.74-.24-1.5-.46-2.21-.75-7.95-3.16-16.08-6.09-24.32-8.69-.48-.11-1.06-.46-1.48-.1-.45,.38,.03,.M 78,.3,1.12,.94,1.18,1.9,2.35,2.82,3.54,2.76,3.57,5.5,7.15,8.26,10.73,.35,.46,.76,.9,.51,1.48l.08-.06c-.69,.19-1.31,0-1.94-.2-4.23-1.36-8.45-2.75-12.69-4.07-3-.93-6.04-1.78-9.08-2.63-.3-.08-.71,.08-1.09,.14,3.75,5.79,8.86,10.71,12.66,16.49,.19,.39-.51,.47-.72,.45-5.58-1.54-11.15-3.09-16.74-4.59-1.14-.31-2.31-.55-3.48-.79-.19-.04-.46,.13-.66,.24,.09,.79,1.42,1.99,1.9,2.77,3.39,4.25,6.79,8.5,10.18,12.75,.36,.45,.76,.89,.56,1.48l.09-.06Z"/><path class="cls-2" d="M1112.89,621.47c1.23-1.22-.36-2.66-.81-3.9-1.66-3.18-3.32M -6.36-4.97-9.54-.2-.39-.28-.82-.38-1.24-.02-.08,.1-.2,.19-.27,17.96,6.57,35.43,15.51,52.52,23.84,1.26,.5,5.02,3.09,3.58-.21-1.59-4-3.2-8-4.79-12-.17-.68-.79-1.54-.08-2.06,21.77,9.52,42.49,21.43,63.27,32.88,.54,.17,2.51,1.56,2.64,.65-.6-4.94-2.56-9.67-3.69-14.51-.17-.62-.19-1.27-.26-1.91-.01-.09,.07-.26,.16-.28,.24-.05,.56-.14,.73-.05,17.32,9.19,34.26,19.12,50.86,29.22,7.48,4.59,14.86,9.28,22.3,13.92,.95,.59,1.93,1.17,2.93,1.71,.11,.06,.62-.1,.65-.21,.01-5.97-1.55-11.99-2.12-17.97,.32-1.34,2.03,.13,2.73,.46,30.37,18M .65,60.17,38.16,88.9,59.04,.34,6.57,.07,13.15,.17,19.73,0,.43-.06,.86-.12,1.28-.01,.08-.16,.18-.26,.2-.24,.03-.53,.09-.73,.01-8.98-6.24-17.53-13.1-26.47-19.45-18.59-13.43-37.46-26.38-56.69-38.98-1.24-.82-2.57-1.54-3.89-2.28-.09-.05-.58,.17-.58,.26,.17,5.71,1.5,11.34,2.16,17.01,.29,2.31-1.01,1.47-2.3,.65-23.15-15.76-46.6-30.69-70.96-44.92-.75-.3-2.03-1.55-2.44-.43,.59,2.43,1.21,4.85,1.85,7.27,.81,3.05,1.65,6.1,2.44,9.16-.41,1.4-2.57-.67-3.38-.98-19.39-11.69-38.88-22.91-59.05-33.39-.67-.3-1.33-.88-2.11-.55-.1,.03-.22M ,.19-.2,.26,.27,.83,.54,1.67,.86,2.49,1.62,4.22,3.25,8.43,4.87,12.65,.03,.08-.03,.24-.11,.27-.22,.08-.52,.2-.69,.14-2.36-.98-4.5-2.35-6.76-3.52-15.43-8.25-31.18-16.28-47.37-23.46-.18,.25-.44,.44-.39,.58,.24,.72,.51,1.44,.86,2.14,1.65,3.3,3.34,6.58,5,9.88,.3,.6,.54,1.21,.79,1.83,.03,.08-.02,.25-.1,.27-.97,.42-1.9-.52-2.8-.81-14.24-6.71-28.65-13.46-43.58-19.03-.16-.05-.45,.12-.65,.23-.14,.53,.63,1.51,.87,2.07,1.95,3.19,3.93,6.37,5.88,9.57,.29,.48,.45,1,.64,1.51,.02,.05-.19,.23-.26,.22-4-.99-7.65-3.11-11.53-4.52-8.28-M 3.37-16.7-6.51-25.22-9.48-1.07-.23-2.22-1.14-3.32-.8-.15,.1-.27,.4-.19,.53,2.25,3.59,4.92,6.92,7.37,10.39,.21,.49,1.44,1.71,.39,1.84-10.84-3.45-21.42-7.6-32.48-10.63-.61-.09-1.31-.53-1.89-.22-.2,.11-.27,.36-.14,.54,3.18,3.66,6.02,7.84,9.4,11.23l-.06-.06c-1.37,.95-3.09-.17-4.53-.45-7.92-2.41-15.92-4.65-24.03-6.62-.61-.06-1.35-.44-1.92-.12-.07,.06-.15,.18-.12,.24,.22,.38,.43,.79,.73,1.13,2.92,3.48,6.16,6.72,8.84,10.38-.63,.26-1.14,.18-1.67,.04-6.38-1.71-12.89-3.07-19.38-4.49-1.68-.28-3.35-.97-5.06-.76-.03,.64,.42,1.0M 5,.82,1.47,3,3.31,6.27,6.41,9.08,9.88,.24,.36-.39,.56-.61,.56-6.98-1.07-13.89-2.9-20.96-3.14-1.18,.14,.93,1.87,1.2,2.32,3.55,3.79,7.11,7.57,10.67,11.36,.27,.41,1,.91,.86,1.4-.16,.13-.39,.32-.56,.3-1.73-.2-3.46-.4-5.17-.69-4.09-.69-8.24-1.07-12.38-1.47-.89-.16-1.47,.53-.69,1.19,3.38,3.62,6.76,7.25,10.13,10.88,.87,1.15,2.38,2.04,2.59,3.51-5.18-.03-10.46-.99-15.71-1.04-.88-.15-1.43,.58-.66,1.23,3.92,4.23,7.81,8.5,11.66,12.78,1.06,1.21,1.56,2.07-.6,1.88-4.7-.43-9.4-.44-14.12-.25l-.24-.15c-3.7-4.24-7.74-8.28-11.82-12.29M -.49-.67-3.01-2.24-1.32-2.79,4.01-.47,8.06-.35,12.09-.51,.61-.05,2.38,.16,2.03-.87-3.94-4.42-8.39-8.4-12.52-12.65-.21-.22-.64-.91-.32-1.12,.38-.1,.77-.23,1.16-.24,4.58-.07,9.16-.1,13.73,.15,1.61,.24,2.22-.6,.81-1.62-3.93-3.98-7.92-7.93-12.01-11.76-2.43-2.23,3.65-1.05,4.64-1.14,4.16,.3,8.34,.36,12.47,.89,2.79,.22,.69-1.45-.21-2.43-2.8-2.75-5.63-5.49-8.42-8.25-.55-1.12,1.25-.73,1.88-.71,5.73,.66,11.47,1.27,17.13,2.25,.51,0,3.54,.57,3.15-.29-2.69-3.56-6.25-6.44-9.28-9.72-.91-1.24,1.16-.93,1.94-.82,7.79,1.14,15.49,2.74M ,23.19,4.31,.24,.05,.62,.04,.76-.08,.31-.26,.04-.57-.15-.81-2.6-3.04-5.43-5.9-8.11-8.86-2.32-2.37,.4-1.65,1.99-1.39,7.44,1.49,14.78,3.28,22.05,5.24,.99,.07,6.22,2.16,5.24,.35-2.47-3.23-5.18-6.29-7.74-9.46-.36-.44-.88-.83-.83-1.41,.48-.33,1.02-.24,1.51-.12,1.93,.48,3.84,.99,5.76,1.5,8.29,2.23,16.49,4.67,24.59,7.31,1.36,.38,2.45,1.06,3.93,.65-2.36-3.64-5.07-6.88-7.6-10.37-.26-.48-1.03-1.25-.81-1.72,.48-.42,1.65,.16,2.25,.24,12.56,3.89,24.94,8.11,37.06,12.79,4.41,1.91,1.02-2.11,.12-3.75-1.83-2.87-3.81-5.66-5.41-8.66-.M 19-.38,.51-.48,.71-.48,16.01,5.67,31.95,11.67,47.06,19.1,.06-.07,.11-.13,.17-.19l-.22,.18Z"/><path class="cls-2" d="M375.73,837.52c-.7,.2-1.31-.01-1.93-.24-4.64-1.73-9.3-3.42-13.91-5.19-9.6-3.68-19.06-7.57-28.37-11.69-1.06-.47-2.14-.91-3.23-1.32-.16-.06-.46,.08-.68,.16-.08,.03-.14,.19-.11,.27,.32,.71,.64,1.41,.99,2.11,1.93,3.79,3.87,7.57,5.78,11.36,.07,.14-.14,.38-.26,.55-19.01-6.89-37.22-16.52-55.38-25.11-.15-.06-.46,.06-.66,.14-.33,.33,.09,1.11,.18,1.53,1.65,4.1,3.31,8.19,4.96,12.29,.1,.44,.52,1.21,.18,1.53-.21,.M 08-.47,.18-.67,.14-1.48-.44-2.83-1.24-4.23-1.87-19.69-9.53-38.77-19.66-57.71-30.39-1.35-.59-4.25-2.87-3.32,.43,1.17,4.2,2.35,8.4,3.52,12.61,.08,.83,.85,2.11,.1,2.72-17.63-8.61-34.77-19.33-51.62-29.32-7.49-4.59-14.88-9.27-22.33-13.9-1.1-.49-2.12-1.77-3.39-1.44-.31,2.06,.39,4.06,.64,6.09,.39,4.15,1.54,8.32,1.58,12.45-.69,.21-1.16,0-1.59-.27-16.39-9.9-32.57-20.24-48.43-30.75-13.25-8.83-26.35-17.8-39.19-27.02-.94-.79-2.52-1.38-2.6-2.74-.12-6.25-.02-12.5-.05-18.74-.13-2.89,2.13-.86,3.32,.01,27.44,20.62,55.51,40.46,84.62M ,59.1,.95,.58,1.24-.77,1-1.46-.74-5.57-1.53-11.13-2.3-16.7-.02-.19,.13-.56,.2-.56,20.31,12.19,40.11,26.47,61.08,38.54,3.98,2.4,8.01,4.75,12.03,7.11,.64,.37,1.22,.86,2.12,.79,.29-.53,.12-1.05-.03-1.58-1.17-4.2-2.34-8.41-3.48-12.61-.26-.94-.43-1.9-.61-2.85-.02-.09,.08-.22,.18-.28,.79-.12,1.69,.66,2.41,.95,7.15,4.23,14.24,8.52,21.44,12.69,12.44,7.21,25.11,14.15,37.99,20.85,.78,.29,1.56,1.09,2.42,.66,.08-.03,.14-.19,.11-.28-.18-.63-.36-1.26-.6-1.87-1.61-4.11-3.23-8.21-4.85-12.32-.16-.4-.45-.8-.14-1.27,1.23-.14,2.83,1.1M 9,4.01,1.67,16.28,8.83,33.08,17.26,50.07,24.93,.58,.14,1.42,.27,.93-.77-2.08-4.56-4.81-8.84-6.63-13.51,.32-.86,2.07,.4,2.68,.55,10.19,4.84,20.48,9.54,30.98,13.95,3.81,1.6,7.66,3.15,11.5,4.71,.53,.11,1.76,.81,2,.04-1.88-3.85-4.48-7.34-6.63-11.05-.35-.58-.61-1.19-.88-1.8,0-.14,.36-.4,.51-.38,12.74,4.88,25.27,10.18,38.26,14.56,.46,.16,1.01,.15,1.53,.2,.07,0,.25-.16,.24-.2-.17-.4-.31-.83-.57-1.19-2.45-3.69-5.58-7.11-7.71-10.96-.01-.17,.29-.42,.46-.42,2.05,.4,3.98,1.32,5.96,1.96,8.57,3.15,17.33,5.92,26.17,8.55,.73,.11,1M .59,.58,2.28,.33,.09-.17,.22-.42,.13-.54-2.87-3.88-6.37-7.38-8.97-11.42,.58-.36,1.1-.27,1.61-.12,4.55,1.33,9.09,2.7,13.66,3.98,4.32,1.2,8.69,2.3,13.04,3.43,.47,.06,1.11,.26,1.55-.03,.06-.05,.1-.19,.06-.25-.39-.56-.75-1.14-1.2-1.66-2.46-2.83-4.94-5.65-7.41-8.47-.37-.42-.82-.82-.75-1.44,6.66,1.02,14.08,3.3,20.94,4.57,1.36,.18,3.44,.92,4.68,.71,.09-.16,.23-.41,.14-.53-3.07-3.71-6.71-6.97-9.76-10.7-.11-.14-.04-.38,.01-.56,.01-.05,.24-.11,.36-.1,7.09,.91,14.17,3.11,21.37,3.11,.28-.98-.86-1.51-1.37-2.23-3.56-3.79-7.13-7.M 57-10.69-11.36-1.73-1.85-.9-1.92,1.11-1.62,5.54,.71,11.13,1.89,16.75,1.82,.83-.43-.17-1.11-.5-1.57-3.99-4.47-8.41-8.63-12.17-13.29-.11-.27-.02-.75,.41-.69,5.35,.31,10.7,1.41,16.06,1.07,.89-.52-.66-1.56-.99-2.13-3.81-4.43-8.22-8.45-11.69-13.14-.01-.17,.46-.63,.76-.53,4.96,.51,9.95,.34,14.93,.41l-.1-.06c4.4,4.76,8.98,9.41,13.67,13.99,1.68,1.91-6.07,1.27-7.05,1.52-2.29,.08-4.57,.13-6.86,.2-1.48,.37,.74,1.96,1.14,2.56,3.78,3.79,7.57,7.56,11.36,11.34,.44,.71-.56,.9-1.07,.91-3.9,.02-7.81,.19-11.71-.05-3.37-.12-3.87-.08-3M .78,.34,.22,1.01,1.18,1.63,1.92,2.36,3.48,3.43,6.99,6.83,10.49,10.25,.35,.42,1.27,1.11,.62,1.58-5.34,.02-10.76-.38-16.08-.9-.77-.05-3.76-.51-2.48,.99,3.18,3.21,6.49,6.32,9.71,9.5,.15,.14,.2,.43,.12,.6-.15,.19-.68,.35-.99,.28-5.74-.59-11.47-1.25-17.15-2.15-1.27-.1-2.73-.47-3.95-.25-.06,.19-.17,.46-.06,.59,2.8,3.53,6.82,6.5,9.37,10.02-.13,.15-.32,.38-.5,.39-2.53-.02-5.06-.6-7.55-.98-5.5-1.04-10.98-2.12-16.47-3.2-.51-.1-1-.34-1.5,.02,1.95,3.37,5.3,5.91,7.78,8.96,.55,.6,1.04,1.24,1.53,1.87,.06,.07,.02,.23-.05,.31-.94,.M 31-2.13-.15-3.12-.23-7.44-1.49-14.78-3.26-22.05-5.22-1.75-.27-3.64-1.42-5.38-.83,.3,0,.37-.08,.23-.23l-.13,.21c2.64,3.86,6,7.38,8.85,11.14,.06,.07,.03,.23-.03,.31-.65,.34-1.95-.12-2.69-.21-9.85-2.56-19.59-5.36-29.18-8.48-1.07-.28-2.26-1.01-3.37-.7-.45,.2-.17,.57,.01,.82,2.68,3.8,5.86,7.51,8.21,11.43-.59,.42-1.21,.12-1.82-.07-8.63-2.73-17.29-5.38-25.71-8.51-4.15-1.54-8.3-3.07-12.45-4.59-.46-.17-1.01-.57-1.45-.26-.66,.47,0,.98,.23,1.43,.35,.7,.83,1.35,1.26,2.02,1.9,2.96,3.95,5.85,5.69,8.9,.15,.26,.03,.62,.04,.93l.08-M .07Z"/><path class="cls-2" d="M412.05,773.58c.69-.15,1.32,.03,1.95,.23,4.24,1.37,8.47,2.76,12.74,4.08,3.01,.93,6.06,1.77,9.11,2.62,.28,.08,.68-.1,1.22-.2-4.2-5.64-8.97-10.71-12.82-16.53-.03-.17,.3-.41,.47-.38,5.76,1.45,11.44,3.15,17.18,4.67,3.01,.51,5.56,2.01,2.29-1.95-3.4-4.26-6.83-8.52-10.23-12.78-.42-.53-1.01-1.03-.87-1.75l-.11,.05c.8-.33,1.58-.08,2.34,.09,4.14,.93,8.26,1.89,12.4,2.82,1.39,.16,2.89,.91,4.25,.46,0-.69-.55-1.19-.98-1.73-3.87-5.23-8.53-10.04-11.86-15.6,.64-.28,1.15-.17,1.67-.05,4.78,1.1,9.62,2,14.5M 3,2.65,.26,0,.91-.02,.85-.41-.33-.58-.64-1.17-1.04-1.71-3.65-5.02-7.51-9.9-11.04-15-.49-.6,0-1.13,.7-1,5.01,.74,10.02,1.52,15.03,2.27l-.04-.02c4.11,5.3,8.22,10.61,12.33,15.92,3.7,3.88-12.92-.19-14.32,.59-.08,.7,.45,1.21,.89,1.75,3.62,4.41,7.24,8.81,10.86,13.22,.44,.69,1.32,1.14,.93,2.07-22.1-1.73-20.42-6.68-5.46,11.88,.6,.7,1.17,1.43,1.73,2.16,.05,.07,0,.22-.08,.31-.06,.08-.2,.17-.3,.16-1.46-.13-2.94-.21-4.37-.44-4.08-.67-8.19-1.27-12.2-2.2-2.34-.28-2.45-.08-1.05,1.78,3.21,3.72,6.44,7.43,9.66,11.15,.69,.8,1.34,1.61M ,1.99,2.42,.18,.3-.36,.64-.56,.66-6.61-.72-13.09-2.48-19.49-4.05-1.74-.55-1.94-.04-.88,1.33,3.99,4.73,8.05,9.41,12.02,14.15,.11,.13,.1,.46-.02,.55-.16,.12-.51,.19-.74,.14-7.9-1.77-15.66-3.78-23.37-6.14-.69-.16-1.35,.26-.7,.87,2.97,3.72,5.98,7.42,9,11.1,.19,.23,.13,.42-.14,.52-3.41-.48-6.89-1.8-10.25-2.71-6.26-1.78-12.38-4.51-18.67-5.91-.3,0-.35,.46-.09,.84,2.69,3.93,6.24,7.58,8.59,11.6-.72,.46-1.48-.02-2.21-.22-10.08-3.32-19.94-7.03-29.69-10.93-.71-.24-1.42-.76-2.18-.39,1.76,4.04,5.19,7.75,7.59,11.62,.25,.36,.36,.7M 8,.5,1.18,.02,.05-.19,.21-.28,.2-4.97-1.24-9.71-3.67-14.49-5.5-7.35-3.15-14.63-6.41-21.93-9.64-.81-.36-1.73-.62-2.22-1.33-.06,.07-.13,.13-.19,.2l.23-.18c-1.29,1.34,.69,2.85,1.19,4.14,1.84,3.23,3.89,6.37,5.62,9.66,.06,.17-.01,.46-.17,.57-15.64-5.66-30.38-14.19-45.4-21.41-.7,.57-.21,1.12,.03,1.77,1.82,3.71,3.67,7.41,5.48,11.12,.29,.59,.48,1.22,.68,1.84,.02,.07-.12,.2-.22,.26-10.63-4.16-20.73-10.47-30.86-15.74-7.34-3.99-14.45-8.35-21.85-12.2-.37-.19-.68,.25-.68,.52,1.42,4.84,3.6,9.47,5.29,14.22,.09,.39,.39,.93,0,1.21-M 14.18-6.82-27.63-15.79-41.1-23.83-6.49-4.04-12.89-8.16-19.33-12.24-.63-.34-1.23-.98-2.01-.71,.62,5.55,3.27,11.33,4.06,17.03,0,.2-.43,.38-.6,.3-24.22-14.59-47.35-30.71-70.33-47.07-.62-.39-1.21-1.02-2.02-.79-.07,.01-.16,.18-.15,.27,.07,1.18,.09,2.36,.24,3.53,.53,3.96,1.09,7.92,1.67,11.88,.43,2.67,.43,3.05-.04,3.01-28.94-18.59-56.5-40.37-83.46-61.43-2.72-2.16-2.34-1.7-2.36-4.49,.06-6.13-.27-12.3,.05-18.4,.98-.44,1.79,.66,2.55,1.14,22.36,18.63,44.81,36.76,68.34,54.15,3.16,2.35,6.31,4.7,9.47,7.04,.58,.32,2.42,2.01,2.78,M .87-.31-5.93-1.49-11.77-2.26-17.66-.09-1.94,2.33,.25,2.95,.68,21.83,16.44,44.35,33.51,67.69,47.88,.63-.34,.25-1.21,.17-1.77-.9-3.37-1.82-6.74-2.72-10.1-.35-1.78-1.3-3.55-.93-5.37,.77-.14,1.25,.28,1.75,.62,3.89,2.66,7.77,5.34,11.68,7.98,15.32,10,30.67,20.89,46.92,29.51,.1-.04,.23-.18,.21-.25-.12-.63-.2-1.27-.42-1.88-1.33-3.62-2.69-7.22-4.04-10.83-.35-.93-.69-1.86-.98-2.8,0-.23,.37-.67,.71-.47,16.6,10.08,33.31,20.48,50.68,29.41,.21,.06,.83-.06,.8-.39-.12-.42-.23-.84-.42-1.23-1.81-3.83-3.63-7.65-5.44-11.48-.23-.5-.37-M 1.02-.52-1.54-.02-.08,.09-.21,.18-.28,.07-.05,.24-.09,.31-.06,.92,.43,1.87,.84,2.74,1.33,13.52,7.51,27.24,14.98,41.35,21.45,.15-.28,.38-.5,.31-.64-.44-.9-.92-1.79-1.42-2.67-1.98-3.53-3.98-7.06-5.95-10.61-.07-.13,.11-.38,.22-.55,.97-.06,1.92,.73,2.82,1.08,11.36,5.97,23.5,10.92,35.08,16.6,0,0,.03-.17,.03-.17l-.14,.12c1.09-.92-.15-2.02-.62-2.93-1.92-2.95-3.87-5.9-5.79-8.85-.37-.57-.66-1.17-.98-1.76-.04-.07,.02-.25,.08-.26,.65-.3,1.21,.05,1.8,.3,6.04,2.58,12.06,5.21,18.14,7.73,19.83,7.84,13.67,6.14,4.72-7.9-.09-.13,.08M -.38,.18-.56,.03-.05,.25-.08,.34-.05,8.29,3.08,16.47,6.3,25,8.93,.96,.18,2,.92,2.95,.44-3.33-5.41-8.04-10.41-11.84-15.66-.29-.38-.48-.76-.32-1.21l-.09,.08Z"/><path class="cls-2" d="M496.99,948.69c2.65,3.91,5.62,7.63,7.98,11.73l.16-.1c-16.27,1.16-32.58,.19-48.83,.15-.16,.03-.38,.36-.33,.5,1.61,4.03,4.46,7.53,6.03,11.59-.12,.86-1.71,.5-2.36,.59-9.01-.32-18.03-.69-27.02-1.35-9.13-.57-18.19-1.83-27.28-2.49-.9,.1-.71,1-.47,1.59,1.85,4.27,3.71,8.53,5.57,12.8l.1-.09c-22.82-1.96-45.44-5.55-67.99-9.4-.91-.03-.8,.94-.64,1.54M ,1.32,4.28,2.8,8.51,3.81,12.87,.11,.43,.03,.85-.51,1.25-26.41-4-52.51-9.82-78.38-16.23-.63-.09-1.73-.5-2.11,.17,.15,1.28,.31,2.56,.55,3.83,.97,4.36,1.34,8.73,1.18,13.18l.13-.12c-32.19-7.52-63.78-16.33-95.01-26.26-1.3-.38-1.37,.86-1.3,1.75-.03,5.45,.62,11.06-.15,16.44-1.09,.81-2.92-.31-4.07-.55-37.23-11.25-73.91-24.1-110.08-38.08-.74-.32-1.24-.77-1.23-1.53,.03-1.72-.01-3.45-.01-5.17,.06-5.04-.17-10.12,.1-15.15,.94-.45,1.81,.16,2.69,.44,35.81,14.47,71.63,28.14,108.55,40.06,1.04,.12,3.77,1.84,3.98,.09-.62-5.9-1.28-11.M 8-1.91-17.7-.04-.41,.61-.82,1.07-.68,30.47,10.39,61.22,19.93,92.54,27.96,.66,.22,2.22,.6,2.23-.41-.33-1.7-.66-3.4-1.03-5.09-.07-1.54-3.45-11.73-1.51-11.46,25.1,6.65,50.32,12.95,75.9,17.83,.91,.18,1.85,.29,2.78,.42,1.07,0,.64-1.22,.47-1.87-1.43-4.26-2.88-8.52-4.32-12.78-.21-.61,.34-1.1,1.06-.97,21.34,4.25,42.79,8.17,64.43,10.75,1.67,.15,2.04-.15,1.52-1.34-1.72-4.21-4-8.2-5.48-12.5,.51-.08,.91-.24,1.27-.2,5.85,.74,11.69,1.55,17.56,2.23,12.3,1.29,24.63,2.56,36.96,3.13,1.07,.08,1.31-.56,.89-1.27-1.93-3.32-3.9-6.62-5.75M -9.97-1.4-2.48,4.33-1.06,5.55-1.22,14.22,1.21,28.53,1.3,42.81,1.15l-.09-.06Z"/><path class="cls-2" d="M1192.65,222.76c-18.63,.68-37.07,1.81-55.69,3.23-.13-1.59,1.21-2.37,1.98-3.58,3.41-4.39,6.83-8.78,10.23-13.18,.42-.55,.79-1.12,1.17-1.69,.14-.2-.35-.68-.67-.66-14.87,1.1-29.68,2.83-44.52,4.35-.67,.07-1.33,.2-1.99,.26-.74,.06-1.74,.54-2.16-.1-.39-.6,.49-1.16,.95-1.67,4.63-5.16,9.29-10.31,13.93-15.48,.34-.56,2.1-1.97,1.18-2.36-14.92,1.03-29.73,4.04-44.61,5.64-.21-1.1,1.07-1.74,1.67-2.54,5.29-5.31,10.6-10.61,15.89-15.M 91,.64-.85,2.18-1.67,1.95-2.79-12.6,1.28-25.18,3.51-37.65,5.66-5.12,.95-3.25-.36-.68-2.87,6.27-5.92,12.56-11.82,18.83-17.74,.61-.57,1.16-1.18,1.72-1.79,.07-.07,.07-.25,0-.31-.15-.13-.39-.32-.55-.3-2.91,.43-5.82,.87-8.72,1.34-8.44,1.39-16.87,2.8-25.31,4.18-1.04,.17-2.1,.44-3.18,.13l.08,.08c0-.2-.12-.47,0-.6,.65-.68,1.34-1.35,2.06-1.99,7.95-7.04,15.9-14.07,23.85-21.1,.63-.52,1.28-.97,1.34-1.83-11.34,1.1-22.76,3.34-34.07,5.03-1.55,.09-.59-.77,0-1.42,10.19-8.92,20.68-17.54,30.83-26.5,.76-1.36-2.35-.63-3.02-.65-6.91,.92M -13.81,1.87-20.71,2.8-2.39,.32-4.78,.62-7.18,.9-.2,.02-.55-.11-.61-.24-.06-.92,1.47-1.59,2.04-2.25,10.58-8.76,21.16-17.51,31.74-26.27,3.65-2.97,5.33-3.99-.91-3.36-8.03,.68-16.07,1.37-24.11,1.98-.47,.03-.49-.52-.37-.7,4.02-3.52,8.29-6.77,12.42-10.17,9.79-7.86,19.6-15.72,29.4-23.58,2.63-2.11,2.11-1.87,5.62-1.87,7.75-.01,15.42,0,23.19,0,0,.4,.15,.79-.03,.96-.77,.74-1.63,1.43-2.48,2.12-11.37,9.19-22.75,18.38-34.12,27.58-.94,.76-1.82,1.58-2.69,2.4-.07,.06,.13,.4,.3,.5,9.45-.07,19.03-1.5,28.52-1.75,.02,.22,.15,.49,.03,.6M 2-.57,.6-1.17,1.18-1.82,1.72-9.14,7.62-18.3,15.23-27.44,22.85-1.68,1.4-3.32,2.82-4.95,4.26-.13,.12-.08,.4-.06,.59,.54,.26,1.35,.07,1.96,.07,6.26-.74,12.51-1.53,18.78-2.24,3.47-.39,6.95-.67,10.43-.98,.2-.02,.54,.11,.63,.25,.22,.84-1.13,1.46-1.61,2.06-3.83,3.33-7.67,6.66-11.49,9.99-5.01,4.37-10.01,8.74-15.01,13.11-.81,.56-1.27,1.54,.16,1.4,11.4-1.24,22.82-3.79,34.23-4.22,.5,.5-.93,1.43-1.29,1.85-5.96,5.42-11.93,10.84-17.87,16.27-1.86,1.7-3.66,3.45-5.46,5.19-.12,.12-.04,.39,.01,.58,.01,.06,.23,.1,.36,.11,10.38-.97,20.M 72-2.75,31.09-4.01,2.29-.17,4.84-1.05,7.06-.5,.07,.09,.14,.25,.09,.31-.46,.53-.92,1.06-1.43,1.56-5.77,5.69-11.56,11.37-17.33,17.06-.76,.75-1.5,1.52-2.2,2.31-.12,.13-.02,.4-.02,.64,9.74-.57,19.38-2.67,29.12-3.53,4.27-.46,8.54-.91,12.82-1.34,.17-.02,.4,.18,.55,.31,.06,.06,.05,.23-.01,.31-.51,.63-1,1.27-1.56,1.88-4.65,5.02-9.31,10.03-13.96,15.06-.72,.77-1.36,1.59-1.99,2.41-.06,.08,.2,.47,.31,.47,8.31-.17,16.53-1.84,24.83-2.38,6.96-.63,13.92-1.24,20.89-1.86,.56-.05,1,.13,.95,.37-.19,1.24-1.38,2.07-2.06,3.08-3.71,4.62-7M .42,9.25-11.12,13.88-.72,1.03-2.31,2.58,.14,2.4,16.89-1.22,33.83-2.68,50.76-2.94,.54,.25,.21,1-.08,1.39-3.81,5.94-7.63,11.88-11.44,17.81l.1-.06Z"/><path class="cls-2" d="M1093.82,419.36c26.96,2.92,53.78,7.54,80.34,12.8,1.05,.06,1.15-.95,1.41-1.68,1.1-4.1,2.18-8.21,3.28-12.32,.41-1.51,.84-1.71,2.84-1.35,1.31,.23,2.62,.48,3.93,.74,29.5,5.66,58.59,12.67,87.56,20.46,.34,.08,.92-.15,.98-.39,.25-1.05,.55-2.1,.72-3.17,.66-4.17,1.27-8.34,1.92-12.5,.21-.66,.22-1.8,1.11-1.89,36.82,9.24,73.52,19.99,109.19,32.58,.42,6.58,.04,1M 3.19,.15,19.79-.04,.73-.02,1.88-1.09,1.71-12.02-4.01-23.89-8.44-35.95-12.42-24.57-8.24-49.42-16.1-74.6-22.96-1.93-.46-1.55,2.12-1.96,3.28-.66,4.92-1.72,9.8-1.86,14.76l.13-.06c-30.73-8.71-61.71-17.02-93.09-23.57-2.6-.34-3.85-1.34-3.79,2.11-.07,4.41,.28,8.83-.09,13.23-.41,.82-1.75,.42-2.49,.33-3.12-.68-6.22-1.39-9.33-2.07-22.24-4.85-44.77-8.94-67.37-11.93-.87-.06-1.31,.62-1.22,1.33,.21,4.52,.13,9.05,.93,13.54l.12-.09c-20-2.58-40.03-5.45-60.18-6.86-2.27-.17-4.55-.22-6.83-.31-.49-.02-.98,.42-.97,.84-.03,4.46,1.57,8.74,M 3.16,12.89l.1-.09c-19.69-1.39-39.43-2.95-59.18-2.46-.27-4.03-2.12-7.93-2.34-11.96,.78-.57,1.62-.49,2.41-.52,18.16-.71,36.3,.11,54.44,.82,.52,.02,.99-.41,.93-.85-.25-4.28-1.65-8.55-1.07-12.83l-.13,.1c20.82,1.31,41.68,2.71,62.36,5.5,1.34-.1,6.07,1.47,6-.48-.11-4.72-.22-9.44-.33-14.15l-.13,.09Z"/><path class="cls-2" d="M138.69,233.83c.3-.5,.32-1.03,.29-1.58-.25-3.87-.51-7.74-.75-11.61-.36-5.91-.71-11.82-1.05-17.74-.24-3.14,1.52-1.37,3.05-.48,7.52,5.08,14.75,11.03,22.51,15.56,.26-.19,.61-.39,.55-.75-.37-12.24-1.26-24.5M 5-1.11-36.77,.11-.44,.97-.37,1.34-.12,7.72,4.07,15.13,8.76,22.97,12.57,1.12,.11,.73-1.74,.87-2.47-.04-5.27-.14-10.55-.15-15.82,.07-8.38-.17-16.78,.16-25.15,1.09-.4,2.07,.23,3.1,.52,4.37,1.67,8.73,3.36,13.08,5.05,.85,.33,1.67,.71,2.52,1.03,5.07,1.93,6.02,2.2,6.25,1.78,.89-1.63,.48-3.38,.56-5.07,.44-14.84,.97-29.72,2.1-44.51,.05-.25,.55-.59,.87-.55,1.06,.13,2.13,.22,3.17,.42,7.14,1.47,14.38,2.6,21.46,4.31,.45,1.12,.19,2.14,.15,3.29-.45,6.34-.95,12.68-1.36,19.02-.99,11.01-.68,22.67-2.28,33.5h0c-.18-.27-.28-.67-.56-.78M -2.29-.92-4.59-1.8-6.92-2.66-5.42-1.95-10.74-4.03-16.21-5.85-.94,.94-.66,2.25-.74,3.47-.21,14.53-.15,29.08-.38,43.61-.01,.25-.62,.56-.88,.44-.82-.37-1.66-.71-2.43-1.13-6.13-3.33-12.24-6.68-18.36-10.01-.77-.24-2.41-1.72-2.98-.63,.34,11.51,.46,23.04,1.16,34.54,.14,2.03,.06,4.08,.05,6.12,0,.1-.46,.33-.58,.29-8.07-4.81-15.41-10.88-23.39-15.85-1.33-.42-1.01,1.02-1.08,1.84,.23,3.98,.4,7.96,.71,11.94,.47,7.1,.93,14.19,1.37,21.29,.02,.29-.18,.59-.32,.87-.03,.07-.3,.14-.36,.11-.53-.33-1.07-.65-1.53-1.03-5.65-4.62-11.27-9.26M -16.93-13.88-2.07-1.69-3.96-3.52-6.32-4.98-.12-.07-.56,.03-.69,.15-.39,.95-.04,2.17-.07,3.2,.67,9.14,1.36,18.27,2.19,27.4-.11,2.2-2.12-.11-2.96-.83-7.97-7.3-15.89-14.65-23.84-21.96-.44-.61-1.61-.58-1.48,.35,.41,7.75,1.2,15.47,1.75,23.21,.08,1.07,.07,2.15,.1,3.22,0,.28-.16,.42-.49,.4-9.66-8.58-18.42-18.56-27.77-27.62-.63-.52-1.12-1.44-2.07-1.25-.07,0-.19,.14-.19,.22,0,.86-.01,1.72,.04,2.57,.33,6.88,.96,13.76,1.15,20.65-.28,1.05-1.56-.24-1.95-.65-9.92-10.61-19.83-21.22-29.74-31.84-.88-.88-1.84-1.88-1.74-3.17,0-2.48-.M 06-4.95-.08-7.43-.02-3.45-.02-6.89,0-10.34-.11-3.62,1.65-1.62,3.14-.14,9.35,9.17,18.37,18.67,27.9,27.65,.83,.57,1.09-.56,1.04-1.18-.1-2.48-.22-4.95-.33-7.43-.2-4.52-.4-9.04-.59-13.56,.03-.63-.15-1.41,.58-1.7,.07-.04,.27-.03,.34,.03,9.46,7.98,18.09,16.87,27.44,24.99,.11,.1,.47,.04,.7,.01,.32-.23,.25-.84,.28-1.2-.36-8.92-1.46-17.85-1.56-26.76,.96-.44,1.57,.42,2.29,.88,7.63,6.24,15.24,12.49,22.86,18.73,.69,.48,1.3,1.28,2.24,1.14l.04,.13-.13-.06Z"/><path class="cls-2" d="M1203.01,1271.97c5.12,1.91,10.24,3.83,15.37,5.73M ,2.69,1,5.39,1.97,8.08,2.95,.92,.34,1.49,.02,1.51-.87,.38-14.54,.29-29.08,.32-43.63-.14-3.81,.66-2.85,3.38-1.57,6.35,3.45,12.69,6.91,19.03,10.38,.65,.31,1.27,1.04,2.1,.6,.74-.39,.38-1.18,.38-1.79-.05-6.14-.45-12.28-.63-18.41-.01-6.89-.7-13.78-.74-20.66,.05-.33,.74-.35,.93-.28,7.61,4.89,14.89,10.28,22.39,15.35,.39,.27,.75,.62,1.34,.58,.38,0,.53-.46,.54-.75-.25-4.63-.5-9.25-.79-13.88-.41-6.56-.85-13.12-1.27-19.69,.08-.57-.29-1.63,.54-1.7,.92,.14,1.67,1.05,2.44,1.54,5.18,4.24,10.34,8.49,15.51,12.74,2.26,1.85,4.52,3.69M ,6.81,5.52,.12,.1,.48,.03,.71,0,.15-.08,.25-.4,.25-.58-.22-3.55-.43-7.1-.67-10.65-.58-6.44-1.05-12.9-1.56-19.35-.08-1.84,1.07-1.02,1.94-.22,8.51,7.79,16.9,15.68,25.5,23.37,.13,.11,.5,.07,.76,.06,.1-.06,.22-.43,.19-.59-.61-7.96-1.32-15.91-1.94-23.86-.14-2.75-.61-4.83,2.37-1.76,9.28,8.95,17.93,18.94,27.55,27.35,.2-.11,.5-.27,.5-.4-.09-3.12-.21-6.24-.35-9.36-.2-4.52-.42-9.04-.6-13.56,0-.14,.31-.3,.5-.41,10.57,10.18,20.34,21.73,30.61,32.4,1.16,1.01,1.81,2.3,1.6,3.85,0,5.82,0,11.64,0,17.45,0,.52,.11,1.07-.33,1.53-.07,.0M 7-.31,.15-.36,.11-.5-.34-1.04-.66-1.44-1.06-3.57-3.51-7.14-7.02-10.68-10.55-5.47-5.47-10.91-10.95-16.38-16.43-.69-.54-1.17-1.4-2.19-1.07,.11,7.85,.73,15.7,.98,23.55,.01,.25-.16,.4-.49,.43-1.71-.43-2.84-2.26-4.23-3.3-7.49-6.93-14.97-13.87-22.45-20.8-.6-.43-1.62-1.97-2.31-1.02,.09,9.14,1.32,18.27,1.5,27.42-.32,1.27-1.67,.03-2.22-.44-7.43-6.1-14.86-12.19-22.29-18.29-2.48-2.03-3.41-2.72-3.04,1.24,.44,9.81,1.89,19.93,1.42,29.61-.93,.26-1.61-.55-2.34-.96-7.27-5.15-14.51-10.32-21.82-15.4-.27-.19-.69-.25-1.05-.35-.1-.02-.3M 3,.06-.34,.11-.1,.42-.22,.84-.21,1.27,.3,10.23,.74,20.46,1.09,30.69,.06,1.72,.03,3.44,.03,5.15,0,.24-.67,.53-.92,.42-.24-.1-.49-.18-.71-.3-7.01-3.81-13.94-7.74-20.91-11.62-3.25-1.94-2.59-.21-2.72,2.46,.07,13.38,.42,26.75-.04,40.12-2.37,.15-4.46-1.37-6.7-2.01-5.1-1.95-10.2-3.91-15.3-5.86-.9-.17-2.55-1.37-3.11-.22-1.19,16.54-.63,33.3-2.63,49.75-8.64-.64-17.03-3.36-25.61-4.56l.08,.08c.79-18.57,2.79-37.09,3.24-55.69l-.14,.06Z"/><path class="cls-2" d="M670.91,824.59s-.03,.05-.04,.07l.09-.06s-.03-.01-.05-.01Zm125.27-29.6M s.06,.01,.09,.02c.02-.05,.03-.1,.05-.15l-.14,.13Zm197.34,67.74l.13,.05v-.09s-.09,.03-.13,.04Zm7.28-62.69s.02,.03,.03,.05c.02,0,.05,0,.07,.01l-.1-.06Zm6.49,58.18s.01,.03,.01,.04l.1-.1s-.08,.04-.11,.06Zm3.83-31.36c-3.33-8.91-6.1-18.19-10.29-26.77-1.3-.23-13.47-2.44-12.91-.58,2.81,7.76,5.96,15.41,8.61,23.2,.17,1.18,2.04,3.98,.42,4.48-3.86,1.23-7.44,3.16-11.18,4.46-.83-.03-.95-.88-1.2-1.48-1.87-5.28-3.69-10.57-5.61-15.84-1.05-2.9-2.23-5.76-3.37-8.63-.49-.88-1.7-.34-2.36,.08-2.88,1.77-5.73,3.58-8.6,5.36-.3,.19-.82,.05-.M 97-.25-3.15-6.97-5.76-14.17-9.09-21.06-.22-.47-.39-1.02-1.21-1.32-2.49,1.44-4.5,3.65-6.76,5.42-.86,.47-2.22,2.71-3.19,1.82-3.42-6.24-6.23-12.87-9.8-19.02-.76-.03-1.12,.26-1.44,.61-2.28,2.52-4.55,5.07-6.85,7.59-1.27,.74-1.64-1.34-2.26-2.06-2.79-4.65-5.19-9.53-8.21-14.03-1.02-.72-1.72,1.08-2.32,1.68-1.58,2.26-3.16,4.51-4.73,6.77-.27,.39-.6,.68-1.34,.71-2.72-4.15-5.42-8.39-8.12-12.56-.47-.59-1.08-2.14-2-1.45-1.9,2.64-3.23,5.69-4.91,8.48-1.1,2.06-1.54,1.79-2.82,.06-2.21-3.09-4.3-6.24-6.58-9.27-.39-.56-.89-1.14-1.59-1.3M 3-.48-.1-.69,.27-.82,.56-1.37,2.93-2.71,5.86-4.07,8.78-.32,.6-.79,1.9-1.66,1.16-2.37-2.87-4.66-5.79-7-8.69-.86-1.07-1.73-2.26-2.57-.67-1.41,3.47-2.5,7.07-4.09,10.47-.78,.88-1.62-.7-2.18-1.17-1.96-2.19-3.9-4.39-5.85-6.58-.39-.44-.77-.89-1.6-1.08-1.07,1.27-1.24,3-1.81,4.53-.85,2.59-1.72,5.19-2.56,7.72-.77,.09-1.17-.17-1.51-.52-2.33-2.39-4.56-4.86-7.11-7.03-1.18-.56-1.3,1.33-1.66,2.04-.89,3.04-1.74,6.09-2.64,9.13-.17,.6-.26,1.26-1.01,1.64-.74-.1-1.1-.59-1.54-.99-1.69-1.53-3.38-3.07-5.07-4.61-.59-.59-2.02-1.53-2.42-.41M -1.16,4.21-2.38,8.4-3.61,12.59-.14,.47-.73,.65-1.23,.37-2.82-1.41-5.01-3.44-8.12-4.34-.51,.46-.68,1.08-.86,1.68-1.14,4.13-2.33,8.43-3.66,12.47-.73,.21-1.21,.01-1.66-.23-2.63-1.26-4.98-2.99-7.86-3.74-1.44,4.64-2.88,9.27-4.33,13.9-.26,.82-.95,1.06-1.79,.68-1.99-.9-3.96-1.82-5.95-2.72-.52-.21-1.34-.53-1.81-.08-2.27,4.49-3.24,9.59-5.48,14.11-.15,.28-.64,.4-1.02,.24-2.15-.9-4.3-1.78-6.47-2.62-1.61-.63-1.88-.52-2.52,.98-1.98,4.48-3.45,9.13-5.83,13.43-3.12-.9-5.84-2.33-8.99-3.12-2.87,4.31-4.71,9.19-7.18,13.73-.15,.31-.15,M .61,.26,.82-3.67,.07-6.84-2.41-10.42-2.95-.01,.01-.01,.02-.02,.03-1.85,3.12-4.06,6.07-6.38,9,.11,2.39,.25,4.78,.42,7.16,1.5,.74,3.21,1.11,4.38,2.3-1.19,1.58-2.53,3.1-3.86,4.58,.39,4.38,.86,8.73,1.41,13.05,3.94-4.49,7.8-8.96,11.74-13.45,2.97,1.18,5.26,3.06,8.16,4.41,4.1-4.81,7.35-10.26,11.19-15.27,.7,.12,1.26,.39,1.78,.69,3.56-4.78,7.42-9.44,11.63-13.89-1.83-.73-3.25-2.4-5.32-2.29-2.62,4.86-4.71,9.99-7.9,14.68-.39,0-.72,.08-.91-.02-2.41-1.17-4.8-2.37-7.19-3.58-.45-.22-.5-.61-.22-1.15l7.08-13.38c.22-.56,.92-.87,1.58-M .61,2.56,.89,5.03,2.65,7.65,3.12,2.75-4.46,4.18-9.72,6.61-14.39,.13-.25,.74-.46,1.01-.34,2.61,1.13,5.14,2.26,7.68,3.58,.72-.5,1.01-1.09,1.23-1.7,1.69-4.37,3.15-8.9,5.02-13.19,.72-.14,1.18,.09,1.61,.32,2.26,1.15,4.36,2.6,6.71,3.57,.16,.06,.59-.08,.65-.2,2.08-4.38,3.21-9.1,4.82-13.65,.2-.6,.92-.82,1.56-.44,2.39,1.39,4.71,2.89,7.11,4.24,.15,.07,.62-.01,.68-.11,2.02-4.4,2.96-9.14,4.55-13.79,.42,.04,.93-.03,1.12,.13,1.9,1.67,3.74,3.39,5.61,5.08,.9,.8,1.99,2.05,2.6,.22,1.44-4.01,2.19-8.32,4.01-12.14,.64-.49,1.36,.37,1.8,M .74,1.8,1.89,3.58,3.78,5.36,5.68,.4,.42,.73,.91,1.65,.99,1.85-4.11,2.83-8.45,4.44-12.6,.66-.21,1.08-.01,1.4,.37,2.38,2.73,4.54,5.65,7.1,8.22,.12,.11,.48,.05,.82,.08,6.53-16.34,2.73-14.53,13.44-1.68,.71-.18,1.01-.5,1.19-.93,1.16-2.75,2.32-5.51,3.51-8.25,.42-.64,.8-2.52,1.8-2.09,2.89,3.1,4.84,6.96,7.36,10.36,1.47,2.17,1.77,1.51,2.83-.44,1.24-2.39,2.45-4.78,3.7-7.16,.39-.55,.76-1.74,1.62-1.49,3.34,4.23,5.63,9.3,8.64,13.77,.75-.02,1.07-.32,1.32-.72,1.63-2.6,3.25-5.2,4.9-7.79,.43-.48,.93-1.73,1.73-1.24,3.55,5.16,5.88,10M .92,9.19,16.26,1.85-.87,7.53-10.86,8.71-9.13,3.28,6.03,5.75,12.52,8.85,18.65,.72,.06,1.08-.23,1.41-.57,1.37-.99,7.64-8.93,8.71-7.33,3.25,6.65,5.73,13.67,8.51,20.52,.17,.42,.43,.77,1.15,.94,2.81-2.08,5.72-4.2,8.57-6.26,.41-.32,1.3-.71,1.74-.34,3.24,7.32,5.29,15.14,8.05,22.65,.29,.82,.62,1.64,.99,2.44,.06,.12,.5,.25,.68,.19,3.39-1.49,6.61-3.32,9.93-4.94,.47-.24,.95-.4,1.62-.26,3.17,9.87,6.47,19.93,8.39,30.07,4.53-1.53,9.18-2.78,13.64-4.47-2.46-9.84-5.72-19.46-8.63-29.18-.22-.71-.47-1.82,.65-1.82,3.86,.24,7.61,1.37,11M .45,1.85,1.18-.11,.51-1.5,.36-2.21Zm-258.49,22.39c-2.98,4.69-6.25,9.25-9.65,13.75-.38,.5-1.07,.64-1.72,.33-2.3-1.09-4.6-2.2-6.9-3.31-.42-.2-.52-.75-.22-1.14,1.53-2.02,3.11-4.01,4.59-6.05,2.29-2.75,3.56-6.27,6.43-8.46-.84,1.41,8.65,3.15,7.47,4.88Zm-68.79-49.78c-.79-.14-1.32,.1-1.56,.69-1.1,2.75-2.19,5.51-3.3,8.27-.69,1.13-.78,3.36-2.48,3.34-3.55-.62-7.08-1.33-10.51-2.47,1.37-4.28,3.9-8.16,4.94-12.52-.02,0-.04-.01-.06-.01-3.46-.75-6.92-1.48-10.37-2.25-.73-.16-1.05-.68-.87-1.24,1.4-3.58,2.15-8.05,4.03-11.29,.01-.02,.0M 3-.03,.04-.05-2.47-.86-5.11-1.28-7.67-1.88-4.63-1.07-4.25-1.51-5.62,2.43-.87,2.47-1.85,4.94-2.84,7.37-.37,1.01-.13,1.45,1.02,1.74,2.68,.69,5.38,1.35,8.06,2.04,.7,.3,2,.3,2.15,1.17-1.11,3.95-3.35,7.47-4.86,11.31,3.4,1.75,7.62,1.95,11.14,3.31,.23,.65-.03,1.14-.3,1.63l-4.14,7.68c-.26,.87-1.81,2.2-.7,2.9,3.58,1.22,7.33,1.94,10.97,2.95,2.02-3.71,4.25-7.35,5.93-11.18,.47-1.07,1.01-1.24,2.51-.94,2.49,.51,4.98,.94,7.44,1.56,.17-4.66,.4-9.31,.69-13.94-1.22-.21-2.43-.41-3.64-.62Zm3.13,53.58c-1.43,1.46-2.87,2.91-4.3,4.37-.69,M .71-.58,1.16,.36,1.51,1.45,.53,2.91,1.06,4.37,1.58-.17-2.48-.32-4.97-.43-7.46Zm-2.87-28.8c-2.16,3.88-1.27,3.22,2.37,4.2,.03-3.09,.08-6.18,.17-9.26-.85,1.69-1.69,3.38-2.54,5.06Zm2.42,14.48c-1,1.29-2.39,2.25-3.08,3.81,1,.51,2.07,.89,3.18,1.15-.05-1.65-.09-3.31-.1-4.96Zm100.1-12.13c-.42-.22-1.14,0-1.34,.39-.91,1.86-1.71,3.77-2.57,5.65,1.88-1.71,3.82-3.37,5.83-4.99-.63-.36-1.27-.71-1.92-1.05Z"/><path class="cls-2" d="M169.9,1258.03c.04-.86,0-1.73,.46-2.5,3.02-5.89,5.45-12.19,8.82-17.86l-.09,.06c17-.83,34.21-.58,51.28-1M .29,.9,.2,5.82-.82,4.89,.97-3.54,5.45-7.16,10.86-10.72,16.3-.34,.7-1.44,1.78-.22,2.19,12.9-.1,25.8-1.36,38.69-2.1,3.21-.1,6.44-.78,9.63-.49,.94,.41-.76,1.87-1.06,2.44-4.48,5.64-9.16,11.14-13.54,16.85-.18,.24,.14,.73,.47,.72,13.96-.55,27.84-2.36,41.73-3.78,3.62-.41,.91,1.49-.15,2.89-5.18,5.51-10.39,11.01-15.57,16.52-.27,.45-2,2-.84,2.1,13.28-.94,26.49-3,39.7-4.09-.25,1.41-1.68,2.15-2.58,3.19-6.58,6.42-13.26,12.74-19.78,19.22-.54,.65,.15,1,.81,.88,11.63-.97,23.17-2.82,34.79-3.91,1.38,.21-1.43,2.26-1.8,2.7-7.61,6.84-1M 5.23,13.68-22.84,20.52-.62,.56-1.18,1.17-1.75,1.76-.07,.07-.08,.25-.01,.3,.16,.13,.38,.32,.56,.31,1.74-.15,3.48-.33,5.21-.5,7.09-.69,14.18-1.37,21.26-2.06,3.26-.26,8.77-2.01,3.16,2.39-9.18,7.88-18.44,15.71-27.6,23.62-.51,.44-1.5,.84-1.04,1.57,.32,.5,1.21,.26,1.84,.22,8.99-.41,17.98-1.6,26.97-1.65,.49,.38-.15,1-.53,1.29-12.28,10.02-24.38,20.24-36.77,30.14-8.15,.4-16.39,.05-24.56,.17-.57-.03-2.05,.11-2.13-.5,.21-1.12,1.58-1.68,2.33-2.51,6.37-5.41,12.76-10.82,19.13-16.23,3.6-3.06,7.2-6.12,10.8-9.18,.38-.32,.7-.65,.51-M 1.14-9.47,0-19.05,1.28-28.56,1.52-.68-.05-1.18-.25-.5-1.06,8.36-7.64,16.89-15.1,25.3-22.67,.47-.62,3.8-2.76,1.98-3.08-10.72,.88-21.39,2.15-32.14,2.66-.12,0-.33-.05-.35-.11-.06-.19-.16-.46-.05-.59,.54-.62,1.11-1.21,1.72-1.79,6.49-6.19,12.99-12.38,19.49-18.57,.69-.87,4.11-3.08,1.2-3.09-7.37,.49-14.72,1.37-22.08,2.01-4.42,.19-9.37,1.43-13.69,.97,.42-1.65,2.16-2.66,3.2-4,4.95-5.24,9.92-10.48,14.86-15.73,.56-.81,1.76-1.43,1.61-2.49-13.51,.92-27.03,2.62-40.6,3.21-1.14-.24-.4-.97,0-1.5,5.07-6.23,10.44-12.25,15.35-18.61,.1M 9-.26-.12-.74-.47-.73-5.65,.04-11.26,.76-16.9,1.09-9.27,.53-18.54,1.17-27.83,1.48-.73,.02-1.09-.55-.72-1.14,.85-1.34,1.71-2.69,2.6-4.02,2.48-3.7,4.97-7.4,7.45-11.1,1.02-1.9,3.85-4.25-.37-3.88-12.26,.38-24.51,.86-36.77,1.01-3.77,.04-7.55,.15-11.32,.24-.67,.01-1.35,.02-1.89,.42l.03,.02Z"/><path class="cls-2" d="M1262.17,202.07c-11.54,.6-23.17,.35-34.74,.71-6.06,.12-12.12,.37-18.18,.55-1.07,.03-2.15-.02-3.22-.09-.14,0-.4-.37-.34-.49,3.56-6.33,8.13-12.09,11.78-18.37,.14-.25-.22-.72-.54-.72-13.44,.4-26.87,1.48-40.3,2.34M -2.68,.18-5.35,.55-8.05,.54-1.51-.28,.52-1.96,.86-2.62,4.23-5.25,8.47-10.5,12.7-15.75,.36-.44,.64-.93,.88-1.42,.05-.1-.24-.32-.42-.46-14.42,.88-28.9,2.52-43.31,3.87-1.14-.09,.65-1.68,.89-2.09,5.17-5.52,10.36-11.02,15.53-16.54,.72-.77,1.37-1.59,2.01-2.4,.06-.08-.14-.39-.31-.47-12.9,.93-25.93,2.54-38.79,4.18-2.48,.32-.45-1.45,.35-2.24,6.97-6.86,14.14-13.52,20.99-20.5,.21-.28-.31-.66-.5-.68-11.08,1.15-22.14,2.48-33.2,3.8-.86,.1-1.74,.64-2.6-.02,.03-.87,.93-1.28,1.53-1.82,7.87-7.09,15.76-14.17,23.63-21.26,.62-.56,1.15-M 1.18,1.7-1.78,.06-.06,0-.22-.06-.31-.61-.38-1.56-.12-2.27-.15-8.29,.82-16.57,1.64-24.86,2.48-2.89,.08-8.69,2.08-3.27-2.17,9.61-8.29,19.4-16.41,28.87-24.87,.11-.1,.01-.38-.04-.57-.26-.21-.77-.17-1.11-.19-8.6,.37-17.19,1.18-25.78,1.71-.64,.04-1.3-.05-1.95-.1-.05,0-.12-.21-.09-.3,11.83-10.78,24.86-20.68,37.25-30.96,8.2-.26,16.42-.04,24.63-.11,.73,.06,1.64-.18,2.12,.49,.05,.06,.02,.22-.04,.28-.59,.58-1.15,1.18-1.79,1.73-4.05,3.46-8.12,6.91-12.19,10.36-5.64,4.78-11.28,9.57-16.9,14.36-.85,.74-2.92,2.37-.41,2.23,6.59-.37,M 13.17-.75,19.76-1.13,2.67-.05,5.38-.61,8.04-.38,1,.42-.97,1.78-1.35,2.28-8.73,7.93-17.69,15.62-26.28,23.69-.22,.3,.36,.64,.54,.66,10.88-.68,21.73-2.31,32.61-2.61-.12,.35-.11,.71-.33,.94-1.16,1.19-2.37,2.34-3.58,3.5-5.97,5.7-11.96,11.39-17.92,17.09-.69,.66-1.33,1.35-1.95,2.05-.1,.12,.05,.38,.11,.65,11.24-.67,22.45-2.23,33.69-3.05,5.43-.64,2.21,1.41,.31,3.69-5.52,5.98-11.34,11.72-16.68,17.86-.07,.31,.06,.74,.54,.68,11.79-.91,23.55-2.23,35.36-2.98,3.9-.09,7.65-1.77,3.09,3.19-4.02,4.85-8.05,9.69-12.07,14.54-.59,.72-1.1M 6,1.45-1.68,2.2-.11,.15,.02,.41,.04,.66,14.86-.42,29.77-2.23,44.69-2.53,1.38-.04,1.73,.37,1.13,1.33-.9,1.44-1.82,2.88-2.77,4.31-2.98,4.59-6.21,9.03-9.03,13.72-.22,1.06,1.45,.71,2.09,.79,4.04-.14,8.08-.3,12.12-.43,12.93-.35,25.86-.66,38.8-.82l-.12-.12c-3.15,6.75-6.32,13.48-9.72,20.12l.09-.06Z"/><path class="cls-2" d="M169.87,1258.01c-.57,.12-.87,.44-1.07,.86-1.78,3.72-3.56,7.44-5.34,11.16-1.06,2.21-2.12,4.42-3.17,6.64-.24,.45-.45,1.2,.21,1.37,15.47,.24,30.95-.88,46.42-1.35,2.19-.04,1.81,.42,.93,2.01-2.94,4.36-5.91,8M .71-8.85,13.06-1.09,1.61-2.13,3.24-3.18,4.87-.25,.39,.2,.86,.8,.84,13.73-.31,27.41-1.57,41.12-2.25,.33-.01,.77,.47,.62,.67-.47,.65-.93,1.31-1.45,1.93-4.74,5.76-9.5,11.51-14.24,17.26-.41,.62-1.42,1.48-.14,1.81,2.82-.16,5.65-.29,8.47-.48,9.39-.62,18.78-1.31,28.17-2.03,.23,0,.73,.34,.6,.63-6.54,7.57-14.04,14.37-20.5,22.01-.04,.67,1,.61,1.48,.59,8.32-.59,16.64-1.18,24.96-1.78,1.28,.12,7.2-1.26,7.05,.15-5.52,5.92-11.73,11.23-17.5,16.92-9.71,9.4-9.82,7.73,3.25,7.36,6.05-.29,12.1-.62,18.15-.93,1.57-.09,1.12,.86,.19,1.63-8M .82,7.85-17.63,15.72-26.43,23.59-1.14,.87-2.09,2.19-3.56,2.51-8.07,.19-16.17,.02-24.25,.07-.58-.04-1.89,.08-1.9-.69,8.02-8.61,17.05-16.34,25.27-24.77,.11-.11,.01-.39-.04-.58-.26-.23-.78-.18-1.12-.22-9.28,.45-18.57,.85-27.86,1-.2,0-.49-.18-.58-.33-.09-.16-.08-.45,.04-.59,2.39-2.61,4.77-5.21,7.21-7.79,4.14-4.38,8.32-8.74,12.48-13.11,.56-.59,2.23-2.01,.46-2.14-11.03,.28-22.03,1.46-33.05,1.7-.77-.33,0-1.15,.29-1.61,1.82-2.26,3.66-4.52,5.51-6.77,3.41-4.14,6.82-8.27,10.23-12.41,.36-.44,.83-.87,.43-1.54-11.63,.14-23.33,1.M 38-34.98,1.77-.87-.11-4.49,.68-3.72-.93,4.24-6.63,8.93-12.99,13.09-19.66,.02-.8-1.28-.71-1.86-.71-3.23,.11-6.46,.22-9.69,.34-11.17,.49-22.34,.94-33.52,.98l.14,.11c2.93-6.11,5.86-12.22,8.79-18.33,.32-.76,1.36-2.24-.03-2.48-11.14-.25-22.28,0-33.43-.09-5.36-.12-10.75,.1-16.08-.39-1.05-.29-.43-1.57-.34-2.32,1.42-5.46,2.85-10.92,4.27-16.38,.16-.61,.46-1.26-.21-1.82l-.06,.02c1.12-.49,2.34-.42,3.55-.4,4.98,.08,9.96,.11,14.93,.25,13.01,.71,26.16-.26,39.1,.77,0,0-.03-.02-.03-.02Z"/><path class="cls-2" d="M555.12,270.11c-7,1M .83-13.79,4.34-20.78,6.2-.32,.09-.82-.29-.75-.56,6.68-20.92,14.95-41.42,23.13-61.84,.13-.81,1.53-2.6,.09-2.8-7.13,.88-14.05,3.09-21.18,4-1.41-.19-.12-2,0-2.82,8.89-23.82,18.88-47.2,29.24-70.46,.19-.82,1.38-2.28-.05-2.46-7.65,.34-15.2,1.79-22.85,2.16-2,0-.21-2.24,0-3.22,12.04-28.51,24.92-56.77,38.73-84.5,.33-.12,.57-.28,.82-.29,8.7,.03,17.46-.23,26.14,.01,.34,.53,.27,.95,.06,1.35-.86,1.7-1.71,3.4-2.6,5.08-13.61,25.67-26.43,51.46-38.34,77.78-.48,1.68,2.4,.9,3.36,.93,5.07-.55,10.14-1.12,15.21-1.66,1.73-.18,3.48-.32,5.M 22-.46,.59-.05,.96,.39,.73,.87-11.5,23.85-22.85,47.72-32.65,72.24-.09,1.45,3.69-.15,4.58-.11,5.33-1.13,10.66-2.29,15.99-3.41,.61-.02,1.77-.44,2.09,.27-6.31,15.65-13.81,30.95-19.66,46.79-1.97,5.56-4.9,10.94-6.23,16.68l-.25,.21Z"/><path class="cls-2" d="M433.2,580.83c.01,.05,.01,.1,.02,.15-.06,0-.11-.01-.16-.02l.14-.13Z"/><path class="cls-2" d="M439.57,639.7s.05,.01,.07,.01c.02,.02,.03,.03,.04,.05l-.11-.06Z"/><path class="cls-2" d="M501.85,653.58c-1.85-3.36-2.95-7.08-5.25-10.16-1.43,.61-2.13,1.71-3.14,2.55-2.21,1.74-M 4.01,3.87-6.58,5.17-.84-.52-1.06-1.27-1.37-1.97-2.95-6.89-5.95-13.82-8.87-20.71-.9-.05-1.4,.32-1.92,.65-2.53,1.61-5.06,3.22-7.61,4.81-2.23,1.37-2.28,0-3.09-1.77-2.23-6.09-4.44-12.19-6.65-18.29-.64-1.76-1.23-3.52-1.86-5.28-.45-.91-1.68-.42-2.39-.08-3.2,1.6-6.71,2.71-10.02,4.18-.63,.54-.07,1.47,.06,2.14,2.86,8.53,6.19,16.93,9.38,25.39,.55,1.88-11.46-.31-12.9-.5-.25-.35-.57-.69-.72-1.07-3.49-9.12-7.4-18.14-9.98-27.5,.31-.74,1.45-.31,2.08-.28,3.01,.53,6.02,1.08,9.03,1.61,.6,.06,1.86,.24,1.93-.58-2.74-10.34-6.83-20.42-8M .76-30.91,3.58-.31,6.93-2.15,10.41-3.04,.86-.27,1.65-.75,2.95-.6,2.72,9.81,5.26,19.96,8.57,29.62,.86,.17,1.45-.1,2.01-.38,3.21-1.55,6.29-3.41,9.57-4.78,.64-.08,.96,.62,1.11,1.13,1.66,4.99,3.28,9.99,4.99,14.97,1.03,3.01,2.2,5.99,3.31,8.98,.16,.42,.9,.6,1.31,.32,3.06-2.08,6.1-4.19,8.98-6.49,.29-.22,.88-.14,1.03,.13,3.26,7.01,5.68,14.4,8.98,21.38,.37-.04,.71,0,.88-.11,1.64-1.15,2.87-2.69,4.31-4.06,.07,5.18,.15,10.35,.22,15.53Z"/><path class="cls-2" d="M630.4,655.28c0-.07,0-.13,.02-.2,.06,.03,.11,.05,.17,.08l-.19,.12Z"M /><path class="cls-2" d="M670.15,602.22s-.01,.07-.01,.11c-.05-.02-.09-.04-.14-.06l.15-.05Z"/><path class="cls-2" d="M706.12,597.22c-.17,.27-.25,.58-.41,.95,1.64,.84,3.43,1.36,5.22,1.9-.17,3.63-.39,7.28-.65,10.92-.77,1.6-1.49,3.23-2.12,4.88-.04-.01-.08-.02-.12-.04-3.19-1.11-6.63-1.52-9.64-3.09,1.82-4.6,4.24-9.01,6.42-13.47,.3-.6,.08-1.15-.54-1.38-2.43-.89-4.88-1.77-7.32-2.66-.68-.19-1.22,.26-1.5,.78-2.26,4.47-4.52,8.95-6.76,13.43-.08,.15,.01,.36,.05,.55,.01,.02,.01,.05,.01,.07-2.91-1.1-5.85-2.17-8.77-3.26-.32-.12-.9M 2,.04-1.05,.28-2.49,4.69-3.85,9.94-6.43,14.58-2.64-1.06-5.29-2.12-7.94-3.17-.48-.19-1.14,.03-1.33,.43-1.68,3.94-2.95,8.06-4.49,12.05-.31,.89-.51,1.67-1.36,2.25-2.74-1.04-5.14-2.42-7.86-3.46-.29-.11-.89,.11-.98,.37-1.55,4.7-3.08,9.35-4.61,14.06-.52-.03-.98,.04-1.28-.1-2.44-1.11-4.81-2.36-7.19-3.58-.28-.14-.88,.07-.99,.33-1.63,4.62-3.19,9.42-4.06,14.24-3.23-1.3-5.97-3.5-9.12-4.9-.95,.57-1,1.36-1.2,2.06-.93,3.26-1.8,6.52-2.71,9.77-.32,.82-.54,2.64-1.81,1.7-11.14-9.3-6.43-8.92-11.97,6.46-.72,.11-1.14-.11-1.49-.46-2.38-M 2.34-4.63-4.79-7.11-7.02-.13-.12-.47-.09-.84-.14-1.45,3.3-2.29,6.84-3.47,10.25-.23,.7-.35,1.46-1.03,2.02-.62-.03-.97-.36-1.28-.71-1.89-2.1-3.76-4.21-5.64-6.31-.74-.55-1.66-2.63-2.69-1.68-1.78,3.55-2.61,7.52-4.46,11.03-.92,.83-1.77-1.01-2.4-1.54-1.82-2.26-3.63-4.53-5.45-6.8-.5-.58-1.32-2.05-2.04-1.79-.44,.13-.58,.41-.72,.71-1.55,3.2-2.85,6.54-4.54,9.67-1.19,1.19-2.26-1.47-2.99-2.16-2.13-3-4.23-6-6.34-9.01-.27-.38-.59-.68-1.26-.71-2.3,3.28-3.49,7.23-6.24,10.27-.11-7.39-.21-14.79-.32-22.18,1.58,2.65,3.15,5.31,4.75,7.9M 6,.53,.85,.92,1.8,1.92,2.42,.66-.26,.92-.74,1.17-1.24,1.37-2.69,2.75-5.38,4.13-8.06,.3-.58,.5-1.21,1.22-1.58,.66,.25,.9,.76,1.22,1.23,2.4,3.48,4.58,7.13,7.2,10.47,.95,1.02,1.71-.77,1.95-1.51,1.34-3.05,2.58-6.12,3.98-9.14,.74-.85,1.48,.26,1.95,.83,10.47,14.08,6.19,10.41,12.5-2.95,.76-.01,1.09,.33,1.38,.68,2.2,2.72,4.32,5.51,6.83,7.98,.19,.21,.94,.1,1.03-.14,1.37-3.7,2.52-7.47,3.78-11.21,.21-.57,.7-1.58,1.44-1.02,2.41,2.45,4.54,5.18,7.24,7.34,.11,.08,.62,.02,.67-.07,2-4.12,2.61-8.79,4.42-12.98,.66-.27,1.1-.1,1.48,.26M ,2.27,1.92,4.19,4.39,6.72,5.97,.81,.17,1.02-.8,1.24-1.35,1.13-3.66,2.24-7.32,3.37-10.97,.18-.62,.35-1.26,1.24-1.78,2.6,1.6,5.1,3.39,7.88,4.74,.85-.31,1.02-.82,1.19-1.35,1.16-3.53,2.31-7.08,3.5-10.61,.28-.82,.67-1.63,1.08-2.42,.07-.13,.5-.27,.68-.22,2.37,.92,4.48,2.38,6.73,3.54,.46,.25,.96,.36,1.66,.23,7.88-18.69,2.24-15.59,14.51-10.9,2.43-4.74,5.03-10.46,6.78-15.43,2.78,1.22,5.41,2.76,8.3,3.69,.19,.05,.58-.06,.7-.2,2.6-4.31,4.74-8.89,7.17-13.3,.26-.49,.56-.97,1.35-1.23,2.53,1.05,5.09,2.41,7.79,3.21,.2,.05,.59-.03,.M 73-.16,2.5-2.99,4.51-6.35,6.83-9.48,.46-.66,.93-1.31,1.46-1.93,2.98-3.95,2.44-2.82,7.06-1.04-.05,2.74-.12,5.45-.21,8.13-1.84,2.35-3.6,4.74-5.2,7.2Z"/><path class="cls-2" d="M97.05,1321.32c-.26-.52-.21-1.05-.07-1.58,1.66-6.31,3.3-12.62,4.86-18.95,.52-1.7-1.99-1.36-3.12-1.45-3.63-.05-7.27-.14-10.9-.15-11.29-.13-22.61-.41-33.87-.95-.68-.21-1.05-.89-.98-1.57,.02-6.35,.05-12.69,.09-19.04-.09-1.45,1.46-1.34,2.53-1.34,15.32,.78,30.65,1.17,45.97,1.63,1.39,.32,6.08-.65,5.63,1.55-.67,2.74-1.36,5.48-2.06,8.22-.88,3.48-1.77,6.M 95-2.64,10.43-.16,.42,.06,.99,.51,1.09,15.45,.66,30.94-.26,46.4-.02l-.14-.11c-2.89,6.51-6.08,12.89-9.19,19.3-.35,.78-1.04,1.9,.35,2.09,13.1,.2,26.13-.94,39.23-1.16,.35,1.33-.84,2.19-1.42,3.28-3.73,5.61-7.46,11.21-11.18,16.82-.27,.48-.94,1.33-.2,1.66,11.28,.18,22.59-.94,33.88-1.16,.63-.01,.99,.44,.69,.85-5.6,7.39-12.02,14.21-17.45,21.72-.02,.67,.99,.64,1.49,.64,9.29-.3,18.57-.61,27.86-.9,.39-.06,.7,.18,.98,.4,.21,.3-.21,.6-.38,.84-7.42,7.81-14.59,15.85-22.15,23.53-8.3,.48-16.68,.05-25,.2-3.79,.1-1.15-1.94-.07-3.45,4M .78-5.99,9.57-11.98,14.35-17.96,.58-.71,2.19-2.35,.33-2.51-9.69,.12-19.39,.69-29.07,.55-.28-.02-.69-.51-.6-.71,.09-.2,.15-.42,.27-.61,4.22-6.62,8.53-13.2,12.83-19.78,.59-.91,.18-1.35-1.2-1.3-11.17,.34-22.34,.83-33.52,.93-1.39-.07-.7-1.34-.38-2.08,1.94-4.13,3.9-8.25,5.84-12.38,1-2.11,1.99-4.23,2.97-6.34,.2-.43-.18-.88-.75-.89-13.58,.28-27.26,.19-40.79,.64-.01,0,.09,.05,.09,.05Z"/><path class="cls-2" d="M1344.66,118.75c-.19,.28-.49,.54-.56,.84-1.66,6.53-3.31,13.06-4.95,19.6-.14,.56,.34,1.01,1.12,1.08,14.93,.46,29.87,M .5,44.79,1.11,1.75,.03,2.56,.05,2.49,2.09,0,6.13,0,12.27-.01,18.4-.05,.63,0,1.47-.79,1.63-5.76,.01-11.56-.5-17.32-.7-9.28-.29-18.56-.57-27.84-.85-2.8-.15-5.66,.12-8.38-.66l.14,.13c2.14-6.26,3.27-12.84,4.97-19.23,.11-.57,.38-1.51-.39-1.69-8.17-.55-16.37-.06-24.55-.1-6.05,.06-12.1,.15-18.14,.22-1.04-.07-3.73,.42-2.99-1.35,2.93-6.23,5.96-12.43,8.93-18.64,.47-.98,.12-1.37-1.23-1.38-13.16,.09-26.33,.53-39.46,1.37l.16,.11c3.68-7.1,8.9-13.53,13.09-20.38,.84-1.37,.42-1.84-1.13-1.81-11.08,.26-22.09,.76-33.16,1.31-.28-1.4,1.M 05-2.13,1.74-3.18,4.79-5.86,9.58-11.72,14.36-17.59,1.49-1.89,1.95-2.52-.96-2.43-9.02,.3-18.04,.59-27.07,.8-1.51-.21-.63-1.23,.09-1.92,7.15-7.46,13.99-15.13,21.15-22.58,8.93-.32,17.97-.22,26.9-.05,.31,.51,.12,.88-.18,1.27-3.03,3.82-6.04,7.65-9.08,11.47-2.39,3-4.81,5.98-7.2,8.97-.38,.52-1.36,1.6-.24,1.84,9.83-.09,19.66-.56,29.49-.58,.99,.29,.56,1.02,.21,1.62-4.13,6.41-8.31,12.81-12.43,19.22-.88,1.5,.64,1.51,1.74,1.5,10.51-.31,21.01-.63,31.52-.8,1.94,0,2.36,.21,1.6,2.19-1.98,4.23-4,8.46-5.99,12.69-.9,1.91-1.75,3.84-2.M 62,5.76-.18,.4,.23,.94,.72,.97,13.86,.15,27.75-.63,41.61-.15l-.14-.12Z"/><path class="cls-2" d="M488.94,146.58c11-30.71,22.64-61.24,35.4-91.29,.17-.41,.31-.84,.59-1.19,.58-.69,1.66-.66,2.52-.66,7.68,0,15.37,0,23.05,0,.61-.04,1.9-.04,1.89,.72-4.98,11.98-10.58,23.72-15.59,35.66-7.46,17.5-14.67,35.07-21.37,52.85-.36,1.09-.04,1.49,1.22,1.4,1.88-.13,3.75-.29,5.63-.47,5.22-.5,10.43-1.02,15.64-1.53,.95-.14,2.42-.03,1.91,1.22-10.59,25.37-20.38,50.95-29.09,76.95l.08-.06c-6.93,1.29-13.86,2.59-20.79,3.86-.79,.03-2.51,.66-2.67M -.47,2.7-8.99,5.59-17.91,8.62-26.82,5.62-16.84,11.55-33.58,17.88-50.18,.14-.64,.7-1.72-.15-2-1.34,.01-2.68,.01-4.01,.13-6.95,.53-13.87,1.5-20.84,1.76l.08,.11Z"/><path class="cls-2" d="M1271.78,456.81c37.9,11.66,75.35,24.51,112.26,38.83,1.08,.41,2.29,.69,3.1,1.66,.24,6.39,.05,12.86,.11,19.26-.06,.79,.14,2.22-1.1,1.97-22.58-8.99-45.03-18.03-68.01-26.24-14.84-5.35-29.77-10.66-44.91-15.38-.52-.15-1.19,.19-1.19,.57,.41,5.8,1.28,11.58,1.86,17.37,.02,.21,0,.43,0,.65,0,.25-.58,.64-.84,.55-31.46-10.83-63.55-20.68-95.91-28.9M 5l.07,.08c-.82-5.6-2.66-11.29-1.74-16.95,.43-.66,1.47-.25,2.12-.18,29.7,6.83,59.04,15.19,88.03,24.3,1.85,.58,3.59,1.47,5.65,1.54,.49,.02,.51-.16,.36-4.97,.05-4.65-.68-9.62,.26-14.16l-.13,.06Z"/><path class="cls-2" d="M1001.34,1295.62c-.43-.72-.33-1.44-.11-2.2,.79-2.71,1.54-5.44,2.32-8.16,2.81-9.72,5.37-19.48,7.83-29.26,1.74-6.94,3.48-13.88,5.14-20.83,1.36-5.69,2.61-11.39,3.91-17.09,.22-.95,.39-1.91,1.17-2.71,0,0-.06,.03-.05,.02,.48,.59,1.3,.7,2.05,.87,6.14,1.65,12.62,2.46,18.56,4.68l-.06-.09c-.45,6.23-2.27,12.34-3.M 38,18.5-4.09,18.79-8.3,37.52-13.13,56.15-.13,.99-1.07,2.52,.47,2.83,7.81,1.11,15.63,2.2,23.43,3.41l-.07-.09c-3.31,10.9-5.35,22.19-8.4,33.21-4.7,17.08-8.75,34.48-14.43,51.26-2.82,.26-16.49,.72-27.26,.03,8.33-28.47,17.65-56.76,24.94-85.56,.14-.53,.18-1.07,.25-1.6,.02-.46-.81-1-1.35-1-6.78-.89-13.55-1.78-20.33-2.67-.54-.07-1.07-.05-1.5,.28v.02Z"/><path class="cls-2" d="M418.87,224.39c-.33-.54-.99-.67-1.62-.82-3.96-.92-7.93-1.82-11.89-2.74-2.23-.73-5.77-.93-7.25-2.24,5.17-24.77,10.5-49.52,16.86-74.03,.08-1.05,1.16-2.81M -.47-3.14-6.5-.93-13-1.81-19.5-2.75-.92-.13-1.83-.36-2.72-.59-.2-.05-.43-.33-.43-.5,.84-6.32,2.86-12.49,4.25-18.73,5.56-21.74,11.27-43.51,17.86-64.96,.61-.64,1.79-.4,2.62-.49,7.41,0,14.83,0,22.24,.02,.84,0,2.46-.19,2.41,1-4.75,15.91-10.12,31.69-14.58,47.68-3.49,12.83-7.62,25.53-10.57,38.48-.16,1.04,1.47,1.23,2.31,1.33,4.38,.59,8.76,1.2,13.15,1.77,2.26,.29,4.53,.54,6.8,.78,.23,.02,.49-.14,.73-.21h0c.53,.56,.56,1.19,.37,1.83-3.91,13.36-7.53,26.81-10.92,40.28-2.12,8.42-4.31,16.82-6.03,25.3-.75,3.71-1.71,7.39-2.59,11.0M 8-.15,.65-.51,1.22-1.1,1.7,0,0,.06-.01,.06-.01Z"/><path class="cls-2" d="M1287.14,363.02c-.97,5.98-2.15,11.93-3.26,17.89-.34,1.49-2.25,.69-3.29,.61-28.6-6-57.55-10.64-86.51-14.64l.15,.12c2.27-5.06,3.61-10.59,5.53-15.82,.47-1.77-3.38-1.3-4.48-1.66-3.07-.33-6.13-.64-9.2-.95-20.7-2.28-41.53-2.93-62.3-4.3l.15,.1c1.99-4.1,3.97-8.21,5.99-12.31,1.84-3.73,2.09-3.71-3.31-3.78-9.68-.15-19.36-.1-29.04-.05-10.35,.12-20.69,.64-31.04,.76-1.66-.34-.29-1.81,.11-2.67,2.63-4.35,5.3-8.68,7.91-13.05l-.1,.05c21.86-.81,43.72-1.72,65.6-1M .27l-.09-.1c-1.75,4.63-4.6,8.95-6.72,13.47-.53,1.34-2.21,3.09,.67,3.08,24.21,.52,48.35,2.2,72.47,4.24l-.1-.11c-1.51,5.86-4.27,11.3-5.73,17.19,28.95,3.92,58.02,7.7,86.72,13.3l-.11-.1Z"/><path class="cls-2" d="M1096.34,280.31c19.3-1.43,38.66-2.02,58.01-2.49,.83,.14,4.47-.48,4.09,.81-2.39,4.7-5.14,9.22-7.66,13.85-.25,.73-1.55,2.15-.37,2.54,23.27,.07,46.5,1.04,69.74,2.13l-.14-.09c-1.39,5.36-4.11,10.45-5.99,15.7-.29,.71-.65,1.41-.4,2.23,10.15,1.5,20.53,1.84,30.74,3.05,17.05,1.67,33.95,4.62,50.98,6.27l-.07-.09c-.22,.5-.5M 3,.99-.64,1.5-1.09,5.99-2.75,11.92-3.43,17.95l.13-.05c-9.65-.58-19.25-3-28.9-4.16-18.66-2.73-37.43-4.72-56.18-6.83l.1,.11c2.04-5.7,4.9-11.45,6.2-17.22-23.96-2.93-48.44-2.85-72.62-3.56l.09,.1c2.85-5.22,5.7-10.44,8.55-15.66,.54-1.07-.6-1.27-1.49-1.22-20.73-.09-41.43,.84-62.13,1.92l.08,.12c3.76-5.62,7.51-11.24,11.27-16.87l.04-.03Z"/><path class="cls-2" d="M1189.33,383.81c30.14,4.3,59.95,10.21,89.61,16.81,.72,.14,1.41-.21,1.51-.76,1.04-5.32,1.92-10.65,2.88-15.98,.34-1.99,1.77-1.33,3.25-1.1,33.63,7.05,66.61,15.51,99.38,M 24.94,1.16,.3,1.37,1.15,1.32,2.11,0,5.92,0,11.85,0,17.77,0,2.07-.27,2.56-3.01,1.74-10.45-3.15-20.89-6.34-31.4-9.39-23.4-6.81-47.12-13.01-70.99-18.59-1.14-.26-1.71,.07-1.88,1.1-.88,5.34-1.72,10.68-2.65,16.01-.13,.76-.76,1.08-1.75,.86-30.36-7.78-61.27-13.66-92.08-19.49l.17,.12c2.07-4.64,3.15-9.69,4.81-14.5,.19-.63,.37-1.24,.91-1.75l-.09,.09Z"/><path class="cls-2" d="M52.33,141.44c0-6.17-.02-12.66,0-18.89,.13-.85-.31-2.56,1.11-2.25,4.43,1.92,8.61,4.43,12.93,6.6,4.55,2.27,8.84,5.07,13.53,7.02,.14,.05,.59-.16,.61-.28,.1M 3-.74,.24-1.49,.23-2.23-.09-7.22-.25-14.43-.3-21.65,0-.43,.05-.86,.08-1.29,.37-1.4,3.53,.54,4.51,.71,5.84,2.22,11.67,4.45,17.5,6.67,1.39,.27,5.46,2.94,5.36,.29,0-.65-.02-1.29-.02-1.94,0-9.05-.24-18.1-.04-27.15,.03-1.04,.52-1.36,1.76-1.11,4.44,.88,8.88,1.78,13.32,2.66,2.61,.52,5.23,1.02,7.83,1.56,4.25,.89,4.21,1.44,4.28-2.74,.26-11.09,.33-22.19,.79-33.28,.03-1.31,1.65-1.34,2.69-1.3,8.07,.13,16.2-.23,24.24,.17,1.12,.36,.83,1.67,.86,2.58-.36,7.43-.78,14.85-1.1,22.28-.2,4.63-.26,9.26-.4,13.89-.31,1.36,.72,4.71-1.6,4.33M -8.3-1.13-16.41-3.87-24.72-4.55-1.54,.09-.71,7.51-.95,9.06,0,7.97,0,15.94,0,23.91-.22,1.1,.65,3.9-1.29,3.38-8.01-3.04-15.9-6.4-23.94-9.37-2.04-.92-1.64,1.32-1.66,2.56-.19,9.25,.8,18.55,.4,27.76-.54,.52-1.51-.08-2.08-.35-5.77-3.18-11.51-6.38-17.29-9.55-2.33-1.28-4.73-2.47-7.11-3.69-.3-.16-.88,.09-.9,.39-.24,7.2,.27,14.43,.36,21.63,.06,3,0,3.4-.53,3.33-1.41-.2-2.19-1.15-3.19-1.82-7.65-5.12-15.27-10.25-22.91-15.38-.82-.55-1.75-1.01-2.37-1.99Z"/><path class="cls-2" d="M1305.47,1311.84c.95-.16,1.82,.09,2.67,.47,7.71,3.0M 9,15.42,6.18,23.2,9.12,1.27,.47,1.41-.79,1.35-1.68-.1-8.83-.27-17.66-.45-26.49-.01-.64,.07-1.28,.12-1.93,.02-.24,.65-.54,.89-.42,1.03,.51,2.07,1.01,3.07,1.56,7.44,4.09,14.79,8.34,22.37,12.17,.45,.23,1.12-.1,1.12-.55,.09-8.17-.53-16.35-.52-24.51,.75-.37,1.24-.12,1.85,.28,8.73,6,17.72,11.65,26.3,17.84,.53,6.78,.06,13.73,.21,20.56,.02,.52-.21,1.28-.86,1.19-8.17-3.82-15.97-8.43-24.01-12.53-3.09-1.65-2.73-.79-2.8,2.1,.08,6.68,.18,13.36,.25,20.03,0,.85-.11,1.71-.24,2.56-.47,.62-1.48,.05-2.08-.11-8.07-2.95-15.99-6.3-24.16M -8.96-.27-.09-.85,.27-.85,.52-.02,2.37-.05,4.73-.05,7.1,.03,7.32,.07,14.65,.1,21.97-.06,.72-.01,1.81-1,1.84-8.72-1.21-17.3-4.11-26.01-4.85-.75,11.35-.6,22.79-.98,34.17-.08,3.89,.08,3.71-4.66,3.71-6.6-.01-13.21-.02-19.81-.03-1.33,0-3.67,.26-3.42-1.69,.64-12.05,1.15-24.1,1.44-36.17,.05-1.61,.23-3.22,.35-4.82,.02-.22,.59-.62,.84-.6,7.37,1.01,14.63,2.92,21.96,4.26,3.07,.37,4.24,1.31,4.09-2.57-.19-11.18,.47-22.44-.23-33.58l-.03,.06Z"/><path class="cls-2" d="M161.33,138.68c-.15,13.24,.38,26.5,.36,39.72-.26,.31-1.03,.27-1M .41,.02-5.86-3.01-11.47-6.43-17.24-9.59-1.99-1.11-4.02-2.17-6.05-3.23-2.19-.71-1.01,2.76-1.2,3.91,.33,9.15,.72,18.3,1.18,27.45,.15,1.97-.1,3.27-2.21,1.65-6.19-4.32-12.38-8.64-18.58-12.96-1.72-1.2-3.43-2.42-5.19-3.59-.23-.16-.72-.07-1.17-.11-.07,8.66,.87,17.24,1.22,25.89,.05,.86,0,1.72-.01,2.58-.02,.36-.73,.36-.9,.29-6.21-4.51-11.91-9.67-17.94-14.42-2.83-2.3-5.7-4.58-8.57-6.85-1.85-1.02-1.21,1.73-1.24,2.77,.26,6.46,.53,12.92,.78,19.38-.06,.53,.11,1.52-.31,1.83-.23,.04-.58,.1-.71,0-9.05-7.73-17.63-16.03-26.56-23.91-1M .34-1.32-3.42-2.54-3.19-4.63,.15-6.49-.22-12.99,.15-19.46,1.59-.29,2.55,1.25,3.75,2.01,7.8,6.26,15.59,12.52,23.39,18.77,.69,.44,1.3,1.32,2.22,1.07,.08-.01,.18-.16,.19-.24,.04-.86,.11-1.72,.09-2.57-.2-6.68-.42-13.35-.62-20.03,.06-.74-.31-2.31,.92-2.01,2.42,1.26,4.57,3.01,6.85,4.5,6.11,4.24,12.2,8.48,18.3,12.72,.43,.33,1.17,.8,1.73,.44,.1-.42,.22-.84,.21-1.26-.24-9.35-.92-18.72-.77-28.06,1.21-.42,2.17,.62,3.23,1.04,7.11,3.89,14.22,7.8,21.33,11.69,2.09,1.22,2.16,.48,2.17-1.58-.2-9.26-.42-18.52-.61-27.78-.09-4.58-.04-4M .93,.6-4.95,2.15-.07,3.72,1.1,5.5,1.77,6.83,2.56,13.6,5.21,20.39,7.83l-.08-.08Z"/><path class="cls-2" d="M1305.5,1311.78c-.18-.92-1.32-.9-2.03-1.29-8.13-3.17-16.24-6.39-24.41-9.46l.08,.07c.38-13.13-.51-26.28-.18-39.4,.01-.25,.65-.53,.92-.39,2.24,1.2,4.49,2.38,6.7,3.6,5.2,2.88,10.38,5.79,15.58,8.67,.74,.28,2.13,1.36,2.66,.37,.03-11.07-1.11-22.14-1.16-33.21,.99-.39,1.64,.38,2.43,.83,5.9,4.1,11.79,8.2,17.67,12.31,2.21,1.32,4.06,3.4,6.52,4.19,.1,.02,.32-.06,.35-.13,.58-9.47-1.03-19.13-1.04-28.65,1.25-.21,2.01,.92,2.95,M 1.51,5.57,4.54,11.1,9.1,16.69,13.62,2.65,2.14,5.37,4.23,8.06,6.34,.23,.18,.5,.15,.73-.03,.4-.36,.25-1.03,.31-1.52-.11-2.8-.25-5.6-.35-8.39-.17-4.52-.33-9.04-.47-13.56,.39-1.82,2.22,.47,2.95,1.02,8.72,7.92,17.45,15.84,26.17,23.77,1.33,1.03,.96,2.55,1.02,3.98,0,5.17,0,10.34,0,15.51,.34,4.94-1.76,2.26-4.11,.55-8.05-6.34-15.87-12.97-24.04-19.15-1.18-.56-1.03,1.16-1.03,1.87,.18,5.06,.38,10.12,.55,15.18,.08,2.37,.09,4.74,.12,7.11-.14,.64-.61,.9-1.39,.39-7.81-5.27-15.52-10.67-23.25-16.05-.92-.56-1.77-1.51-2.93-1.51-.5,.03M -.54,.44-.53,.74,.31,9.04,.65,18.08,.94,27.13,.01,2.23-1.25,1.49-2.64,.79-7.22-3.96-14.43-7.93-21.65-11.89-.85-.4-1.56-1.07-2.57-.68-.16,11.93,1.07,23.91,.37,35.83,0,.02,.02-.04,.02-.04Z"/><path class="cls-2" d="M803.51,817.29c-1.68,.98-3.35,2.02-5,3.1,.72-1.49,1.01-3.28,2.06-4.57,1.3,.07,1.99,.91,2.94,1.47Z"/><path class="cls-2" d="M819.05,809.57c-2.4,.98-4.77,2.05-7.12,3.2,.69-1.87,1.39-3.75,2.06-5.63,.15-.39,.12-.9,.74-1.05,.84-.19,1.19,.4,1.59,.78,.92,.89,1.83,1.79,2.73,2.7Z"/><path class="cls-2" d="M833.97,804M .51c-3.12,.84-6.22,1.81-9.31,2.91,.92-2.58,1.8-5.17,2.69-7.76,.17-.38,.29-.9,.88-.93,.3-.01,.71,.29,.94,.54,1.63,1.73,3.18,3.51,4.8,5.24Z"/><path class="cls-2" d="M848.8,801.49c-3.86,.55-7.72,1.28-11.56,2.2,1.28-3.5,2.47-6.98,3.74-10.57,.46,.09,.98,.07,1.14,.26,2.34,2.62,4.46,5.36,6.66,8.09,0,.01,0,.01,.02,.02Z"/><path class="cls-2" d="M907.61,806.44c-18.48-5.69-38.17-7.69-57.71-5.1,1.87-3.88,2.89-8.15,4.76-12.03,.71,.02,1.08,.28,1.36,.67l4.83,6.72c.71,.8,1.22,2.18,2.1,2.7,.78-.07,.97-.86,1.27-1.43,1.39-3.26,2.74-6M .53,4.14-9.79,1.06-1.93,2.54,1.5,3.17,2.28,1.63,2.61,3.23,5.21,4.84,7.82,.29,.47,.57,.95,1.22,1.18,2.2-2.76,3.48-6.95,5.25-10.12,.25-.51,.51-.99,1.28-1.29,2.53,3.58,4.46,7.58,6.72,11.34,.6,.77,.77,2.14,1.89,2.28,.08,0,.25-.08,.3-.16,2.33-3.22,3.79-6.99,6.24-10.11,.07-.08,.57-.05,.64,.05,.49,.63,.98,1.28,1.34,1.97,2.29,4.28,4.37,8.63,6.36,13.02Z"/><path class="cls-2" d="M922.96,812.11c-4.55-1.97-9.2-3.71-13.91-5.22,2.09-2.87,4.11-5.79,6.19-8.69,.26-.37,.55-.74,1.14-.86,.66,.41,.85,1.03,1.12,1.63,1.98,4.33,3.76,8.73,M 5.46,13.14Z"/><path class="cls-2" d="M939.6,820.57c-3.99-2.35-8.08-4.51-12.26-6.47,1.85-2.11,3.69-4.24,5.54-6.36,.32-.37,.72-.62,1.4-.58,2.02,4.35,3.63,8.94,5.32,13.41Z"/><path class="cls-2" d="M957.63,832.98c-3.43-2.75-6.97-5.34-10.62-7.78,1.92-1.63,3.58-3.68,5.8-4.91,.75,.53,.93,1.16,1.15,1.79,1.25,3.63,2.49,7.26,3.67,10.9Z"/><path class="cls-2" d="M976.76,851.38c-2.9-3.35-5.95-6.55-9.13-9.62,1.59-.92,3.01-2.12,4.75-2.77,.18-.06,.63,.02,.69,.14,1.6,3.94,2.44,8.19,3.69,12.25Z"/><path class="cls-2" d="M993.65,862.7M 8s-.06,.03-.09,.04c-.01-.03-.03-.06-.04-.09l.13,.05Z"/><path class="cls-2" d="M999.03,886.16c-3.26-7.29-7.13-14.22-11.51-20.74,2.01-.88,4.03-1.73,6.04-2.6,2.74,7.46,3.71,15.58,5.47,23.34Z"/><path class="cls-2" d="M1246.01,141.96c-9.51,.74-19.07,1-28.58,1.69-4.83,.21-9.66,.86-14.49,.82-1.22-.41,.59-1.79,.91-2.4,3.34-4.04,6.7-8.08,10.03-12.12,1.63-1.98,3.23-3.97,4.81-5.97,.19-.25,.35-.64,.24-.89-.22-.52-.88-.35-1.36-.31-7.38,.52-14.75,1.06-22.13,1.59-4.56,.27-9.11,.81-13.68,.87-.38,.04-.57-.46-.47-.71,5.94-6.71,12.34M -13.04,18.45-19.61,.75-.9,1.84-1.54,1.92-2.79-10.51,.23-20.94,1.48-31.43,2.17-.65-.06-2.23,.38-2.32-.46,7.46-7.86,15.72-14.99,23.39-22.65,1.04-1.01,1.95-2.1-.3-2.04-9.28,.28-18.54,1.04-27.81,1.21-.4-.6,.03-.98,.46-1.4,9.82-8.63,19.35-17.59,29.34-26.03,8.24-.33,16.6-.05,24.86-.14,.66,.05,2.3-.2,1.91,.89-7.86,7.98-16.15,15.57-24.16,23.42-.56,.65-1.6,1.25-.2,1.7,9.42-.33,18.83-.67,28.25-.92,1.43,.18,.32,1.39-.23,1.95-6.25,6.77-12.66,13.41-19,20.1-.34,.51-1.54,1.42-.65,1.82,1.34,0,2.69-.01,4.02-.09,9-.5,18-1.03,27-1.58M ,.89,.06,3.57-.54,2.62,1.09-4.99,6.29-10.18,12.43-15.24,18.66-.5,.84-1.65,1.52-1.43,2.57,1.33,.33,2.66,.08,3.99-.01,11.93-.76,23.91-1.64,35.88-1.66l-.16-.11c-5.04,7.01-9.71,14.27-14.58,21.4l.12-.05Z"/><path class="cls-2" d="M977.41,752.83c3.85,5.96,6.98,12.35,10.46,18.52,.24,.78,1.71,2.49,.39,2.84-2.29,.09-4.57-.04-6.86-.02-5.54,.01-5.43-.47-3.31,3.78,3.26,6.69,6.46,13.38,9.03,20.29-.22,.25-.32,.48-.53,.58-3.7,1.68-7.24,3.96-11.06,5.27-.79-.34-.91-1.02-1.16-1.6-1.19-2.75-2.26-5.52-3.48-8.26-1.81-4.05-3.71-8.08-5.56M -12.12-.23-.51-.48-1.01-1.26-1.3-3.5,1.68-6.37,4.15-9.48,6.39-1.53,.85-1.76-1.38-2.4-2.26-2.38-4.57-4.75-9.14-7.16-13.7-.57-1.09-1.27-2.13-1.95-3.18-.08-.12-.52-.22-.7-.16-2.29,1.31-4,3.5-6.03,5.17-1.01,.83-1.71,2.09-3.07,2.37-3.91-5.34-6.56-11.42-10.42-16.8-.2-.28-.83-.36-1.03-.13-2.35,2.74-4.62,5.53-6.82,8.37-1.47,.91-2.38-2.19-3.22-3.04-2.31-3.41-4.62-6.81-6.93-10.22-.32-.47-.64-.95-1.53-1.12-9.85,13.98-3.28,12.48-16.85-2.81-.69,.21-1,.54-1.2,.95-1.33,2.7-2.67,5.4-4.01,8.1-.33,.61-.54,1.31-1.33,1.44-3.11-3-5.54-M 6.6-8.46-9.81-.42-.4-1.08-1.29-1.72-.77-1.98,3.32-2.72,7.26-4.62,10.63-.97,.78-1.81-.98-2.5-1.5-9.92-10.44-6.87-9.79-11.43,2.97-.22,.53-.51,1.5-1.27,1.31-2.65-1.86-4.72-4.41-7.15-6.54-.52-.32-1.57-1.67-2.13-.95-1.81,3.71-2.08,8.04-3.7,11.85-1.1,.97-2.35-1.17-3.29-1.68-1.77-1.48-3.53-2.96-5.33-4.41-.23-.18-.71-.16-1.14-.24-1.53,4.41-2.08,8.92-3.63,13.2-1.92,.58-9.06-5.8-9.97-3.86-1.05,4-2.04,8-3.03,12.02-.14,.52-.28,1.05-.9,1.4-13.19-4.78-7.16-7.88-13.48,11.19l.15-.13c-5.07-2.39-6.67-3.02-9.49-3.72-1.53,3.94-2.35,8.M 12-3.61,12.15-.24,.82-.4,1.68-1.25,2.43-3.08-.94-5.98-2.57-9.21-3.02,1.44-4.8,2.53-9.71,4.1-14.47,.09-.25,.66-.51,.96-.42,2.25,.71,4.49,1.44,6.73,2.16,1.53,.52,2.25,.68,2.71-1.12,.96-3.91,1.89-7.82,2.83-11.73,.19-.79,.89-1.13,1.73-.83,2.62,.95,5.36,1.95,7.92,2.98,.94-.45,.99-1.14,1.14-1.74,.93-3.91,1.71-7.85,2.7-11.75,.11-.45,.69-.63,1.25-.4,2.63,1.08,5.18,2.28,7.79,3.41,.3,.12,.74,.02,1.13,.02,1.36-4.26,1.82-8.76,3.17-13.03,.07-.21,.78-.42,1.04-.31,2.72,1.09,5.21,2.66,7.83,3.97,.91,.48,1.59,.3,1.79-.49,.37-1.48,.7M 1-2.96,1.07-4.44,.56-2.32,1.11-4.65,1.68-6.97,.15-.63,.85-.77,1.51-.3,2.46,1.8,4.72,3.84,7.09,5.75,.46,.38,.86,.83,1.76,.87,1.68-3.64,2.24-7.73,3.57-11.51,.13-.38,.97-.55,1.32-.26,1.38,1.18,2.76,2.36,4.1,3.57,1.43,1.29,2.79,2.62,4.23,3.9,.21,.19,.7,.19,1.14,.29,1.26-3.47,2.39-6.85,3.62-10.32,.55-1.55,1.49-.98,2.37-.1,2.1,2.1,4.16,4.24,6.27,6.33,.74,.74,1.25,1.66,2.41,2.09,1.43-.58,1.26-1.81,1.73-2.76,1.27-2.57,2.17-5.33,3.54-7.84,.71-.02,1.12,.21,1.45,.58,1.58,1.74,3.2,3.47,4.75,5.22,1.08,.82,4.31,6.25,5.45,4.85,1.M 76-3.15,3.44-6.33,5.38-9.38,.16-.25,.82-.26,1.05,0,3.67,4.02,6.74,8.56,10.25,12.7,.69-.11,1.03-.4,1.29-.78,1.96-2.77,3.82-5.72,5.99-8.33,.74-.02,1.1,.25,1.38,.64,3.45,4.59,6.65,9.36,9.98,14.03,.2,.26,.82,.3,1.06,.06,2.73-2.52,4.88-5.57,8-7.66,.98,.23,1.37,1.24,1.93,1.96,2.95,4.72,5.89,9.44,8.82,14.16,.35,.57,.57,1.2,1.45,1.59,1.86-.84,8.97-7.81,10.3-6.53,3.54,5.61,6.39,11.63,9.67,17.39,.53,.66,.94,2.31,1.97,2.12,3.48-1.83,6.94-3.68,10.39-5.55,.61-.32,.25-1.02,.03-1.49-3.72-6.43-7.06-13.11-11-19.4l-.15,.15c4.16-1.29M ,8.8-.39,13.13-.72l-.09-.06Z"/><path class="cls-2" d="M604.51,977.16s.03,0,.05-.02c.02,.04,.04,.07,.06,.11l-.11-.09Z"/><path class="cls-2" d="M637.65,964.94s-.02-.03-.03-.04c.05-.03,.1-.05,.15-.07l-.12,.11Z"/><path class="cls-2" d="M659.11,944.03s-.01-.03-.01-.05c.02-.01,.03-.01,.05-.02-.02,.02-.03,.06-.04,.07Z"/><path class="cls-2" d="M680.82,896.38c3.2-2.48,6.41-4.96,9.62-7.44-.43-2.86-.82-5.73-1.17-8.6-.67-.3-1.16-.77-2.11-.76-5.36,3.75-10.3,8.14-15.95,11.73-.4,.27-.75,.62-1.44,.56-3.15-1.41-6.19-3.62-9.53-4.62-M 6.31,3.37-12.52,7.09-18.71,10.69-.28,.18-.32,.67-.03,.84,2.6,1.69,5.43,3.12,7.84,5.06,.38,.71-.75,1.08-1.23,1.41-6.61,3.54-13.6,6.51-20.61,9.52-.13,.08-.13,.42-.02,.57,2.3,2.3,5.43,3.78,7.7,6.13,.27,.63-.65,.88-1.1,1.08-8.07,3.22-16.27,6.29-24.6,8.97-.51,.18-.71,.73-.38,1.06,2.19,2.2,4.48,4.3,6.67,6.49,.21,.22,.17,.6,.26,.94-6.25,2.4-12.66,4.27-19.15,6.1-3.44,.93-6.89,1.85-10.33,2.78-.52,.14-.95,.36-1.11,.99,2.29,2.64,4.77,5.32,6.83,8.16-.45,.73-1.25,.87-2.01,1.07-9.31,2.51-18.77,4.63-28.32,6.47-1.8,.58-4.22,.18-5.M 63,1.53,1.57,2.85,3.58,5.52,4.82,8.48,.28,.5,.68,1.11,1.36,1.01,12.32-2.16,24.59-5.49,36.52-9.03,1.77,3.23,3.67,6.39,5.55,9.57,11.08-3.91,22.36-7.49,33.06-12.24-1.82-2.73-4.02-5.27-5.61-8.12-.07-.17,.02-.48,.18-.58,9.07-3.98,18.05-8.02,26.91-12.22-.08-.41-.03-.88-.29-1.18-2.03-2.26-4.3-4.43-6.43-6.6,4.38-2.83,9.26-4.82,13.7-7.58,3.08-1.93,6.81-3.43,9.54-5.74-.22-.81-.88-1.21-1.43-1.65-1.52-1.23-3.08-2.41-4.62-3.62-.44-.44-1.39-.86-.96-1.57,6.42-4.54,13.06-8.29,19.44-12.99-2.46-2.29-5.73-3.66-8.38-5.68,.43-.37,.77-.M 7,1.15-.99Zm-50.81,60.52c-10.14,3.95-20.5,7.68-30.98,10.57-1.85-2.94-4.09-5.73-5.87-8.72,.91-.89,2.04-1.01,3.22-1.37,9.67-2.63,18.96-6,28.28-9.31,2.38,2.56,4.48,5.26,6.7,8.01-.54,.33-.9,.64-1.35,.82Zm48.08-58.7c-4.84,3.27-9.65,6.56-14.79,9.53-1.28,.83-2.75,1.3-3.68,2.56,2.6,1.91,5.17,3.81,7.78,5.73-.49,1.1-1.59,1.41-2.54,2.01-6.38,3.81-13.16,7.06-19.83,10.54-.64,.66,.7,1.31,1.07,1.81,1.74,1.65,3.49,3.28,5.22,4.92,.39,.38,.3,.89-.16,1.13-8.53,4.42-17.58,7.99-26.53,11.55-2.49-2.63-4.98-5.26-7.56-7.99,8.55-3.78,17.52-M 6.49,25.9-10.65,.66-.31,.76-.9,.24-1.36-2.25-1.95-4.59-3.93-6.82-5.87,.18-.69,.82-.89,1.36-1.15,6.94-3.24,13.86-6.53,20.47-10.35,.51-.28,.52-.75,.03-1.08-2.42-1.69-5.05-3.18-7.34-5.04-.13-.12-.14-.45-.02-.58,6.17-3.93,12.67-7.56,18.83-11.54,.37,.04,.69,0,.89,.1,2.81,1.48,5.54,3.04,8.13,4.62,.23,.62-.28,.87-.65,1.11Z"/><path class="cls-2" d="M1271.91,182.14c2.73-7.07,6.55-13.84,9.65-20.8l-.07,.07c17.28-.01,34.6,.47,51.86,.01l-.14-.13c-.71,6.33-3.05,12.44-4.39,18.68-.19,.73-.25,1.49-.3,2.23-.01,.15,.25,.39,.46,.45,14M .71,1.24,29.56,1.19,44.29,2.39,4.03,.25,8.05,.53,12.07,.8,.79,.08,2.01,.02,2.11,1.04,.16,6.45,0,12.91,.04,19.37-.04,.58-.05,1.52-.78,1.63-21.32-1.03-42.62-3.68-63.97-3.86l.1,.09c1.53-6.1,3.07-12.2,4.59-18.31,.05-.88,.86-2.66-.43-2.9-18.39-.7-36.79-.69-55.19-.89l.12,.12Z"/><path class="cls-2" d="M976.39,1292.07c5.18,.62,10.37,1.25,15.55,1.87,3.1,.54,6.5,.36,9.39,1.68v-.02c-.6,.1-.88,.44-1.01,.88-.52,1.78-1.04,3.56-1.55,5.35-8.27,28.13-17.38,56.08-27.38,83.69-.39,.99-1.88,.78-2.79,.83-8.26-.1-16.48,.2-24.74-.15,6.32-M 19.51,14.76-38.71,21.08-58.29,3.91-11.31,7.57-22.66,11.35-34,.21-.63,.39-1.25,.2-1.91,0,0-.1,.06-.1,.06Z"/><path class="cls-2" d="M439.08,144.22c.41-.01,.86-.08,.97-.43,.53-1.67,1.03-3.34,1.52-5.01,8.58-28.57,17.51-57.17,28.03-85.12,8.76-.53,17.57-.01,26.36-.15,.25,0,.49,.14,.73,.21,.27,.55,.05,1.05-.15,1.57-2.01,5.24-4.07,10.48-6.01,15.74-9.6,25.48-18.63,51.2-27.02,77.06-.01,0,.08-.07,.06-.06-.38-.5-1.01-.65-1.68-.73-7.58-1.05-15.4-1.25-22.81-3.09Z"/><path class="cls-2" d="M164.64,1020.42c-36.95-9.62-73.85-19.97-1M 09.74-32.76-.65-7.42-.2-18.46,.08-21.23,1.8-.34,3.52,.83,5.23,1.28,35.47,12.52,71.18,24.54,107.68,34.07l-.1-.08c-1.18,6.27-1.91,12.61-3.27,18.85l.12-.12Z"/><path class="cls-2" d="M266.55,1007.6c.02-5.64-.13-11.27,.02-16.91l-.13,.12c26.46,5.22,52.9,11.41,79.82,14.11,.77-.13,.64-1.09,.66-1.67-.17-3.44-.35-6.88-.53-10.32-.04-1-.42-2.74,1.15-2.58,17.2,2.68,34.51,4.64,51.85,6.2,4.02,.3,8.04,.56,12.06,.84,.8,.06,1.62,.1,2.29,.53l-.08-.07c1.03,3.27,1.1,6.77,1.62,10.15,.14,1.16,.36,2.34-.04,3.51l.13-.1c-20.12-1.34-40.24-2.M 48-60.24-5.14-2.39-.18-4.8-.8-7.2-.65-.22,.04-.51,.25-.54,.41-.42,4.81,.01,9.68-.07,14.51l.12-.09c-27.2-2.72-54.25-7.39-80.99-12.93l.1,.08Z"/><path class="cls-2" d="M158.18,1057.92c-34.73-7.53-69.69-15.4-103.48-26.1-.46-6.71,.02-13.55-.1-20.29,0-.32,.13-.63,.2-.91,.56-.27,1.06-.15,1.57,0,2.77,.84,5.54,1.67,8.31,2.51,31.76,9.85,64.28,18.18,96.7,26.17l-.07-.09c-.51,6.33-2.25,12.55-3.25,18.83l.13-.11Z"/><path class="cls-2" d="M822.93,1306.26c8.25-.92,16.47-2.37,24.78-2.59,.89,.29-.05,1.69-.22,2.29-13.05,26.32-27.1,52.M 19-41.6,77.79-.49,.87-.8,1.84-1.92,2.55-8.15,.24-16.37,.04-24.53,.1-.68-.06-2.24,.2-2.25-.74,15.76-26.21,31.38-52.55,45.84-79.46l-.09,.07Z"/><path class="cls-2" d="M342.37,130.12c4.44-25.31,10.01-50.4,15.64-75.48,.24-1.53,1.96-1.22,3.17-1.27,7.27,0,14.55,0,21.83,0,.93,0,1.9-.11,2.81,.36-6.21,26.36-13.25,52.65-18.43,79.28-.23,1.29-1.75,1.25-2.77,1.01-5.68-.9-11.35-1.81-17.03-2.71-1.6-.29-4.36-.39-5.22-1.2Z"/><path class="cls-2" d="M1073.79,1305.5c7.27,1.12,14.55,2.22,21.81,3.37,2.58,.33,2.62,.81,2.24,3.24-4.58,24.75M -9.6,49.41-15.48,73.9-1.17,.52-2.35,.39-3.58,.41-6.87,0-13.75,0-20.62-.01-2.95-.1-3.58,.41-2.78-2.97,6.94-25.84,12.51-52,18.53-78.03,0,0-.12,.1-.12,.1Z"/><path class="cls-2" d="M154.84,843.36c.94,6.3,1.77,12.61,2.5,18.94-.23,.71-1.01,.55-1.59,.28-29.78-13.91-58.92-28.75-87.62-44.53-3.55-1.95-7.09-3.92-10.63-5.89-1.36-.84-3.39-1.47-3.05-3.42-.02-6.03-.03-12.06-.03-18.09,.06-.73,.02-1.96,1.15-1.55,6.71,3.74,13.21,7.82,19.92,11.6,26.03,15.01,52.55,29.21,79.42,42.75l-.08-.08Z"/><path class="cls-2" d="M1291.21,343.66c19M .67,4.02,39.62,7.12,59.15,11.6,11.43,2.47,22.85,4.99,34.18,7.73,.9,.22,1.85,.33,2.64,1.05,.41,6.56,.03,13.26,.14,19.86,.09,2.43-1.57,1.37-3.13,1.14-32.05-8.44-64.42-15.72-97.05-22.03l.11,.1c1.5-6.46,1.94-13.24,4.09-19.5l-.13,.05Z"/><path class="cls-2" d="M151.08,1095.92c-32.28-4.74-64.34-11.96-96.08-19.4-.71-.64-.71-1.29-.71-1.94-.01-5.92,.02-11.85,.15-17.77-.03-2.97,1.3-1.99,3.43-1.59,31.24,8.07,62.66,15.29,94.41,21.35,.76,.17,2.07,.21,1.94,1.25-.36,2.13-.74,4.26-1.14,6.39-.47,2.56-1.03,5.1-1.43,7.67-.22,1.38-.92,M 2.72-.7,4.14l.12-.1Z"/><path class="cls-2" d="M476.1,686.23s.01,.02,.01,.03c-.05,.03-.11,.05-.16,.08l.15-.11Z"/><path class="cls-2" d="M488.05,704.99s.05,.01,.08,0c.02,.02,.03,.05,.05,.07l-.13-.07Z"/><path class="cls-2" d="M502.57,703.45c-1.16-1.55-2.06-3.1-3.51-4.45-3.35,1.71-6.34,3.67-9.57,5.54-.41,.24-.81,.5-1.36,.45-4.23-6.07-8.71-12.16-12.02-18.73,3.72-1.67,7.1-4.03,10.73-5.84,.93,.38,1.17,1.02,1.53,1.59,3.68,5.33,6.58,11.21,10.71,16.19,1.49-.05,2.24-1.3,3.38-2.02,.04,2.43,.08,4.84,.11,7.27Z"/><path class="clsM -2" d="M646.68,678.52s0,.05-.01,.07c-.68,4.69-1.19,9.52-2.68,14.02-3.25-.71-6.18-2.12-9.37-3.02-.33-.1-.87,.14-.95,.42-.85,2.58-1.07,5.31-1.62,7.96-.28,1.49-.59,2.97-.9,4.46-.09,.42-.7,.64-1.25,.42-3.07-1.01-5.92-2.69-9.02-3.55-.21,0-.6,.14-.64,.27-1.17,4.1-1.67,8.26-2.98,12.34-1.55,0-2.54-.83-3.68-1.34-2.39-.96-4.36-2.61-6.88-3.25-.71,.44-.81,1.63-1.12,2.37-.91,3.09-1.43,6.37-2.67,9.33-.75,.17-1.18-.07-1.57-.36-2.45-1.84-4.89-3.7-7.35-5.54-.62-.34-1.45-1.38-2.2-.88-1.43,3.09-2.31,6.4-3.5,9.59-.22,.62-.72,1.48-1.51M ,1.06-13.86-10.11-7.85-12.22-15.59,2.07-.93-.01-1.36-.44-1.79-.85-3.31-3.08-6.38-6.16-9.8-9.17-2.71,2.9-3.88,6.72-6.34,9.83-1.3-.43-1.97-1.39-2.88-2.29-2.06-2.2-4.12-4.39-6.18-6.58-.04-2.62-.08-5.24-.12-7.86,1.34-1.75,1.93-3.83,3.77-5.34,.36-.29,.42-.24,5.01,4.84,1.13,.9,5.8,7.51,6.9,6.02,1.19-2.28,2.37-4.57,3.55-6.85,.64-.77,1.17-3.51,2.46-2.78,3.39,3,6.31,6.59,9.94,9.28,.75,.2,1.1-.75,1.36-1.27,1.09-2.76,2.15-5.54,3.23-8.31,.18-.51,.54-1.2,1.21-.99,2.54,1.63,4.58,3.93,6.91,5.84,.99,.62,2.76,3.21,3.79,1.63,1.15-3.M 53,2.03-7.16,3.39-10.62,.6-.84,1.59,.27,2.17,.65,2.5,1.97,4.89,4.05,7.52,5.86,.4,.28,1.11,.07,1.23-.39,1.16-3.84,1.82-7.84,3.09-11.62,.18-.06,.32-.14,.4-.12,3.58,1.02,6.16,3.43,9.79,4.5,.24-.24,.63-.45,.7-.71,.4-1.69,.72-3.4,1.1-5.09,.53-2.33,1.08-4.65,1.65-6.97,.04-.15,.33-.26,.61-.46,1.93,.61,3.74,1.62,5.63,2.37,4.69,2.08,4.08,1.69,4.97-2.34,2.87-12.97-.34-10.85,12.12-6.69,.03,.02,.07,.03,.1,.04Z"/><path class="cls-2" d="M771.18,1312.07c7.2-.82,14.39-1.64,21.59-2.46,1.93-.16,4.6-.76,2.99,1.71-14.74,25.38-30.53,50M .37-46.9,74.83-.47,.08-.98,.23-1.5,.23-8.5-.11-17.03,.29-25.5-.14-.21-1.48,1.28-2.53,1.95-3.75,7.65-10.64,15.03-21.4,22.32-32.2,8.69-12.63,16.74-25.56,25.17-38.28l-.11,.06Z"/><path class="cls-2" d="M977.4,1211.23c6.65-.94,13.42-.27,20.13-.41,.64,.03,1.76,.09,1.85,.88-.13,.85-.2,1.72-.42,2.56-4.72,18.35-9.63,36.64-15.03,54.81-2.09,7.12-4.34,14.2-6.52,21.3-.19,.63-.31,1.27-1.03,1.7,0,0,.1-.06,.1-.06-8.36,.13-16.79-.02-25.06,1.26l.15,.07c9.39-27.15,17.98-54.61,25.89-82.18l-.08,.08Z"/><path class="cls-2" d="M1299.31,30M 4.92c29.38,3.86,58.63,8.6,87.69,14.3,.15,.39,.36,.69,.36,.99,0,6.56,0,13.12-.03,19.68-.02,1.89-2.19,.93-3.35,.82-24.8-5.07-49.53-10.16-74.6-13.97-4.68-.91-9.59-1.09-14.11-2.53l.07,.09c-.22-3.21,1.32-6.56,1.75-9.78,.54-2.63,1.04-5.27,1.54-7.9,.12-.64,.29-1.26,.79-1.79l-.11,.08Z"/><path class="cls-2" d="M142.84,1134.84c-28.64-3.11-57.14-8.26-85.46-13.49-1.55-.34-3.73-.32-3.4-2.39,.04-6.35-.03-12.7,.08-19.05,.05-.83,.61-1.2,1.55-1,3.13,.64,6.26,1.28,9.37,1.95,26.83,5.74,55.12,10.7,81.75,14.61-1.41,6.48-3.03,12.93-4.05M ,19.48l.15-.11Z"/><path class="cls-2" d="M476.01,659.08s0,.03-.01,.04c-.02,.01-.03,.02-.05,.03l.06-.07Z"/><path class="cls-2" d="M502.23,680.12c-1.43-2.22-2.79-4.5-4.19-6.74-.16-.24-.5-.39-.85-.65-3.1,2.15-5.8,4.59-8.99,6.6-.59,.38-1.21,.22-1.6-.4-3.64-6.53-7.68-13.06-10.6-19.81,3.66-2,6.71-4.61,10.11-6.84,1.06-.3,1.42,1.45,1.92,2.11,3.1,5.8,5.74,11.89,9.32,17.41,.75,.03,1.17-.25,1.53-.57,1.07-.93,2.14-1.87,3.18-2.82,.06,3.9,.12,7.81,.17,11.71Z"/><path class="cls-2" d="M626.41,670.72c-.93,4.01-1.83,8.04-2.73,12.07-M .13,.5-.21,1.06-.89,1.35-2.96-.77-5.44-2.75-8.21-4.02-.48-.26-.97-.35-1.57-.15-1.35,3.98-2,8.21-3.23,12.24-.06,.24-.79,.43-1.01,.28-2.45-1.61-4.58-3.64-6.88-5.44-.5-.43-1.71-1.59-2.17-1.16-.25,.24-.54,.5-.62,.78-4.55,15.92-1.57,12.27-13.09,3.13-.97-.27-1.17,1.25-1.52,1.88-.91,2.59-1.76,5.19-2.67,7.78-.86,2.16-1.42,1.78-2.89,.35-2.74-2.64-5.18-5.57-8.1-8.03-.14-.09-.48,0-.81,0-1.38,3.16-2.73,6.3-4.13,9.44-.18,.38-.23,.88-.85,1-.85,.15-1.12-.47-1.52-.85-.6-.58-1.14-1.2-1.68-1.82-2.46-2.68-4.63-5.61-7.27-8.12-.12-.09-M .6-.09-.67,0-2.2,3-3.45,6.59-5.61,9.62-.17,.23-.86,.25-1.05,.03-1.18-1.29-2.26-2.64-3.32-4.02-.09-6.56-.18-13.12-.28-19.68,.72,.01,.97,.69,1.31,1.16,.41,.55,.8,1.12,1.22,1.68,2.17,2.85,4.34,5.7,6.51,8.55,.36,.46,.7,.92,1.36,1.15,.6-.29,.87-.78,1.11-1.28,1.67-2.91,2.72-6.57,4.84-9.12,.52-.26,1.08,.62,1.44,.91,2.75,3.18,5.21,6.61,8.21,9.58,.13,.12,.46,.12,.7,.17,.62-.6,.84-1.33,1.12-2.05,1.13-2.87,2.28-5.74,3.44-8.61,.07-.17,.35-.35,.57-.4,.21-.05,.58,.01,.7,.13,2.53,2.66,4.98,5.35,7.54,8,.89,.85,1.92,1.46,2.31-.19,1M .15-3.43,2.29-6.86,3.44-10.28,.73-.96,1.74,.48,2.36,.94,2.31,2.1,4.39,4.43,6.86,6.35,.17,.12,.49,.11,.76,.17,.72-.69,.84-1.55,1.07-2.38,.87-3.15,1.75-6.3,2.63-9.46,.73-1.27,1.95,.24,2.66,.78,2.09,1.68,3.96,3.62,6.18,5.11,.27,.15,.73,.07,1.16,.09,1.4-4.41,2.09-8.88,3.61-13.32,3.72,1.46,6.24,3.35,9.63,5.05,.01,.2,.07,.42,.03,.62Z"/><path class="cls-2" d="M626.45,670.14s-.05-.03-.07-.04v-.02l.07,.06Z"/><path class="cls-2" d="M1048.73,359.22c1.68-4.25,4.15-8.16,6.19-12.25,.43-.99,1.53-2.48-.38-2.43-13.97,.67-27.93,1.46M -41.85,2.75-4.68,.41-9.36,.84-14.02,1.4-.66,.07-1.33,.18-2.09-.18,2.27-5.09,5.7-9.69,8.44-14.56l-.1,.06c19.53-1.86,39.06-4.02,58.68-4.63,1.25,.33,.18,1.5-.12,2.2-2.13,4.06-4.76,7.92-6.57,12.13-.05,.13,.19,.46,.35,.48,5.36,.31,10.77-.14,16.14-.18,16.84-.57,33.68,.04,50.52,.34l-.15-.1c-2.25,5.23-4.49,10.64-7.28,15.59l.1-.05c-22.66-.5-45.33-1.05-68.02-.67l.16,.08Z"/><path class="cls-2" d="M1148.03,1317.86c.33,.5,.27,1.04,.2,1.58-.41,3.1-.79,6.21-1.23,9.31-1.89,13.7-3.97,27.37-6.23,41.02-.85,5.12-1.71,10.24-2.57,15.36-M .09,1.05-1.31,1.44-2.25,1.38-7.95,0-15.89-.01-23.84-.02-.64,0-1.89-.13-1.75-.9,3.65-19.35,7.57-38.66,10.66-58.12,.62-3.62,1.27-7.25,1.84-10.88,.16-1.04,.56-2.12-.04-3.17,0,0-.14,.08-.14,.09,7.9,.73,15.73,2.63,23.59,3.82,.64,.11,1.23,.4,1.84,.61l-.08-.07Z"/><path class="cls-2" d="M317.66,126.38c-8.46-1.47-17.07-2.43-25.38-4.58l.09,.07c1.97-18.53,5.13-37,8.11-55.42,.62-3.73,1.22-7.46,1.85-11.19,.17-1.63,1.31-2.11,2.85-1.98,7.67,0,15.34,.02,23.01,.05,1.14,.06,2.4,.08,2.01,1.62-4.58,23.75-9.58,47.55-12.67,71.5l.13-.09ZM "/><path class="cls-2" d="M410.52,983.6s.02,.07,.03,.1c-.04,0-.08,0-.12,0l.09-.09Z"/><polygon class="cls-2" points="413.65 997.84 413.73 997.84 413.73 997.91 413.65 997.84"/><path class="cls-2" d="M471.87,998.55s.01-.06,.02-.09h.08l-.1,.09Z"/><path class="cls-2" d="M505.19,960.41c-.07,.01-.15,.01-.22,.01l.16-.1,.06,.09Z"/><path class="cls-2" d="M506.29,962.09c-.36-.56-.73-1.12-1.1-1.68,.36,0,.72-.02,1.08-.04,.01,.57,.02,1.15,.02,1.72Z"/><path class="cls-2" d="M518.75,983.74s-.02-.09-.03-.13c.06,0,.12-.01,.18-.01l-.M 15,.14Z"/><path class="cls-2" d="M548.1,956.57h-.05s-.03-.05-.05-.07l.1,.07Z"/><path class="cls-2" d="M555.09,966.55c-13.02,3.06-26.67,3.82-39.99,5.31-2.1,.23-2.19,.37-1.19,2.03,1.83,3.1,4.01,6.21,4.81,9.72-16.34,1.36-32.64,2.43-49.05,2.81-.01,3.27,1.37,6.37,1.95,9.58,.2,.81,.46,1.62,.27,2.46-19.39,.85-38.78-.05-58.16-.62,.11-4.88-1.48-9.54-3.18-14.14,18.83,1.42,37.71,2.72,56.62,2.53,3.35,.22-.08-3.79-.51-5.26-1.07-2.09-2.14-4.17-3.23-6.26-.21-.41-.31-.81-.07-1.23,16.21-.48,32.53,.12,48.74-1.58-.04-.39,.04-.73-.11-M .99-1.72-2.85-3.61-5.6-5.41-8.39l41.16-.59c-.03-1.78-.05-3.56-.08-5.34,.13,0,.26-.01,.39-.02,2.15,2.83,4.29,5.64,6.43,8.47,.34,.45,.74,.9,.61,1.51Z"/><path class="cls-2" d="M548,956.5s.03,0,.04-.01c.02,.03,.04,.05,.06,.08l-.1-.07Z"/><path class="cls-2" d="M658.64,851.69c-3.53,3.01-7.33,5.71-10.97,8.58-.58,.44-1.3,.79-1.54,1.47,2.31,1.68,6.06,2.52,8.75,3.81,1.17,.48,1.19,.86,.13,1.65-4,2.94-8.27,5.5-12.56,8.12-.49,.45-2.32,1.05-1.83,1.79,2.71,1.99,6.35,2.75,8.96,4.79-.26,.68-1.02,1-1.65,1.37-4.76,2.83-9.62,5.54-14.6M 7,8.02-.52,.4-2.04,.67-1.72,1.49,2.47,1.89,5.33,3.29,7.95,4.96,.46,.28,.45,.85,0,1.09-6.68,3.4-13.72,6.04-20.76,8.63-.49,.18-.91,.41-.98,1,2.67,2.22,6.04,3.83,8.5,6.44-8.37,3.68-17.25,6.09-26,8.89-.3,.1-.43,.63-.19,.84,1.89,1.69,3.8,3.35,5.67,5.04,.7,.64,1.63,1.14,1.93,2.02-.41,.47-1.02,.67-1.66,.88-9.14,2.9-18.61,5.11-27.98,7.34-1.36,.38-.47,1.47,.15,2.07,2.12,2.43,4.48,4.53,6.32,7.19-11.84,3.51-24.24,5.15-36.44,7.32-.13-.17-.25-.34-.39-.51-.05-3.62-.1-7.25-.15-10.87,9.49-1.29,19.02-2.69,28.31-4.95,.34-1.48-9.07-8M .22-7.3-8.92,10.03-2.45,20.28-4.02,30.06-7.19-.21-1.03-1.19-1.51-1.87-2.14-1.42-1.31-3.03-2.46-4.49-3.72-.68-.63-1.78-1.03-1.81-2.07,8.27-2.56,16.75-4.55,24.88-7.46,1.04-.38,1.2-.9,.43-1.44-2.12-1.49-4.26-2.97-6.38-4.47-.5-.35-.97-.73-1.45-1.11-.88-.93,2.95-1.56,3.55-1.97,5.3-1.86,10.68-3.59,15.79-5.76,.83-.35,1.63-.75,2.4-1.17,.14-.07,.2-.45,.1-.56-2.47-1.9-5.43-3.17-8.08-4.8-.47-.26-.77-.57-.73-1.16,5.71-2.41,11.5-5.1,16.83-8.15,.46-.33,1.58-.78,1.16-1.44-2.88-1.61-5.93-2.96-8.9-4.41-.3-.15-.31-.66-.02-.85,4.03-2M .53,8.15-4.94,12.21-7.43,1.03-.7,2.16-1.17,2.83-2.25-3.31-1.76-6.95-2.74-10.24-4.43,1.13-1.81,3.66-2.71,5.31-4.06,2.93-1.93,5.41-4.18,8.3-6.17,3.43,1.16,6.75,2.31,10.01,3.57,.47,.18,.61,.77,.24,1.09Z"/><path class="cls-2" d="M1303,284.44c.53-.22,.72-.63,.81-1.05,1.34-5.71,2.7-11.41,3.93-17.14,.57-1.73,3.63-.6,5.04-.71,21.34,2.2,42.64,4.73,63.88,7.7,3.18,.44,6.36,.92,9.53,1.39,.69,.1,1.15,.55,1.19,1.13,.13,6.35,0,12.7,.03,19.06,0,.63,.16,1.3-.48,1.88-18.24-2.25-36.39-6-54.72-8.01-5.44-.72-10.89-1.43-16.34-2.11-3.32-M .42-6.66-.79-9.99-1.18-1.08-.12-2.12-.31-2.9-1l.02,.05Z"/><path class="cls-2" d="M138.02,1155.09c-1.53,5.89-2.87,11.82-4.13,17.75-.28,1.74-1.05,1.73-2.61,1.63-25.75-2.29-51.37-5.63-76.94-9.36-.67-.87-.54-1.84-.57-2.86,.02-5.59,.06-11.18,.1-16.78-.11-2.93,1.14-2.14,3.37-2,16.62,2.67,33.22,5.43,49.93,7.54,8.89,1.19,17.79,2.26,26.7,3.32,1.46,.17,2.95,.26,4.28,.85,0,0-.12-.1-.12-.1Z"/><path class="cls-2" d="M167.88,1001.77c.78-5.56,1.6-11.11,2.41-16.66,.11-.67,.3-1.48,1.22-1.33,31.21,9.08,62.97,17.28,95.03,23.81l-.1-.0M 8c-.99,5.47-2.79,10.82-4.05,16.25l.13-.07c-31.84-6.17-63.67-12.94-94.74-22.01l.1,.08Z"/><path class="cls-2" d="M161.38,1039.29c1.58-6.15,2.49-12.57,3.26-18.87l-.12,.12c30.82,7.29,61.77,14.05,93.13,19.4l-.09-.1c-1.25,5.46-3.33,10.81-4.86,16.24l.14-.08c-30.8-3.61-61.25-10.51-91.53-16.8l.07,.09Z"/><path class="cls-2" d="M1199.82,1327.52c-1.65,14.47-2.68,28.99-4.52,43.44-.4,3.54-.76,7.08-1.17,10.62-.16,1.39-.41,2.77-.64,4.16-.07,.42-.58,.74-1.12,.78-7.81,.18-15.62,0-23.43,.03-.84-.13-2.46,.17-2.89-.65-.06-.53-.08-1.08,M 0-1.61,3.09-20.61,5.63-41.29,7.99-61.99l-.12,.11c8.64,1.81,17.46,3.08,26,5.19l-.08-.08Z"/><path class="cls-2" d="M266.08,117.79c-.16-.46-.58-.7-1.13-.8-7.33-1.37-14.66-2.79-21.98-4.21-.8-.15-1.89-.5-1.78-1.45,.73-11.08,1.85-22.13,3.11-33.17,.88-7.83,1.81-15.65,2.73-23.47,0-1.36,1.33-1.51,2.48-1.48,7.41,0,14.82,.02,22.23,.03,3.76-.19,2.85,1.04,2.64,3.95-1.78,13.16-3.8,26.29-5.36,39.48-.5,4.18-.99,8.36-1.47,12.54-.46,2.89-.06,5.92-1.51,8.6,0,0,.04-.01,.04-.01Z"/><path class="cls-2" d="M241.47,1089.6c-27.16-2.22-54.14M -7.06-81-11.59-1.58-.27-3.14-.59-4.71-.9-.43-.08-.92-.63-.87-.98,.97-6.09,2.21-12.14,3.29-18.21l-.13,.11c29.52,5.69,59.17,11.1,89.08,14.87l-.1-.1c-1.53,5.69-3.86,11.25-5.67,16.89l.11-.09Z"/><path class="cls-2" d="M711.65,574.4c-1.7,1.77-2.86,3.67-4.85,5.33-3.04-1.2-5.87-2.58-8.68-4.15,3.69-4.99,8-9.28,12.01-14,.57-.64,.93-.86,1.51-.71,.05,4.55,.05,9.07,.01,13.53Z"/><path class="cls-2" d="M747.01,609.28h0s-.01,.01-.02,.02c-.01,0-.01,.01-.03,.01,0,0,0-.02,0-.02,.01-.01,.03-.01,.04-.01Z"/><path class="cls-2" d="M756.3M 2,598.06c-1.34,1.54-2.77,3.04-4.05,4.61,.13-2.35,.23-4.7,.32-7.06,1.03,.56,5.22,.59,3.73,2.45Z"/><path class="cls-2" d="M757.36,582.55c-1.5,1.53-3,3.06-4.5,4.58,.07-2.65,.13-5.33,.17-8.04,1.78,.62,3.55,1.2,5.16,1.96,.09,.72-.43,1.09-.83,1.5Z"/><path class="cls-2" d="M780.87,529.52c-6.31,4.13-12.98,7.89-19.16,12.3,.25,.37,.34,.73,.62,.89,2.42,1.52,5.09,2.77,7.4,4.47,.14,.11,.22,.46,.12,.55-4.8,3.64-9.87,6.99-14.44,10.81-.48,.55-2.14,1.27-1.16,2.05,2.66,1.26,5.35,2.45,7.95,3.81,.26,.13,.31,.67,.08,.87-3.06,2.67-6.13,M 5.32-9.18,8,.06-8.08,0-16.38-.26-24.81,2.55-2.06,5.32-3.89,7.74-6.08-.05-.21-.02-.49-.18-.6-2.71-1.59-5.17-3.62-8.04-4.9-.01-.13-.01-.27-.02-.41,6.71-4.39,13.15-8.95,20.03-13.03,2.13,1,5.38,3.33,8.5,6.08Z"/><path class="cls-2" d="M849.57,657.23c4.32,2.23,8.66,4.7,12.87,7.05,1.24-.49,1.59-1.36,2.24-2.01,1.95-2.11,3.77-4.21,5.93-6.15-.26-.31-.41-.63-.71-.81-4.02-2.49-8.22-4.76-12.14-7.41,1.92-2.26,4.3-3.99,6.77-5.67,.9-.61,2.06-1.07,2.48-2.2-3.91-2.76-8.65-4.61-12.44-7.49,2.71-2.15,3.82-2.77,11.63-6.47,.6-.07,.99,.21M ,1.42,.48,3.29,2.06,6.59,4.1,9.88,6.16,.73,.45,1.55,.85,1.97,1.66-3.7,1.97-7.74,3.49-11.23,5.59-.02,.57,.29,.89,.72,1.17,3.36,2.16,6.72,4.32,10.06,6.5,.7,.46,1.54,.83,1.92,1.68-2.69,1.7-5.66,3.26-8.13,5.23-1.75,1.37-1.75,1.43,.09,2.7,3.87,2.71,7.84,5.2,11.57,8.09-2.72,2.85-5.86,4.98-8.61,7.86-3.81-2.28-7.25-4.85-10.94-7.29-.6-.41-1.16-.9-2.2-.99-2.78,2.68-4.25,6.11-6.92,9.05-4.2-2.09-8-4.5-12.19-6.36-.28,.18-.57,.27-.68,.44-1.87,2.99-3.36,6.1-4.78,9.23-.2,.44-.02,.93,.4,1.16,3.6,1.9,7.2,3.79,10.81,5.67,.19,.1,.49,.M 07,.87,.11,1.68-2.64,2.94-5.54,4.58-8.21,.97-1.58,1.33-1.66,2.93-.65,3.32,2.16,6.5,4.53,9.74,6.8,1.06,.75,1.13,1.06,.59,1.94-1.6,2.61-3.21,5.22-4.81,7.82-.57,.92-1.09,.97-2.15,.23-2.9-2.11-5.9-4.1-8.87-6.13-.63-.35-1.72-1.31-2.34-.54-6.83,13.19-1.4,10.97-14.86,4.99-1.36-.65-1.99-.48-2.38,.66-1.12,3.21-2.07,6.47-3.27,9.65-.1,.26-.69,.46-.99,.33-3.74-1.5-7.27-3.28-11.19-4.46l.08,.06c1.69-4,2.02-8.53,4.09-12.34,2.63,1.05,5.21,2.22,7.81,3.34,1.27,.52,2.36,1.38,4.03,1.44,1.55-3.51,2.74-7.03,4.19-10.48,.07-.17-.05-.4-.11M -.73-3.67-1.83-7.5-3.57-11.53-5.09-.29,.32-.63,.54-.74,.82-1.26,3.28-2.49,6.57-3.7,9.87-.1,.27,.08,.61,.13,.92-4.06-1.66-8.23-3.05-12.34-4.6,5.33-15.11,.42-12.68,15.61-7.66,.88-.22,1.12-.72,1.35-1.23,1.15-2.53,2.27-5.06,3.46-7.58,.27-.57,.44-1.25,1.22-1.57,3.7,.95,7.69,3.42,11.33,4.91,.7,.31,1.31,.18,1.68-.38,1.88-3.09,4.14-6.05,5.9-9.15l-.14,.06Z"/><path class="cls-2" d="M150.95,1096.03c27.85,4.91,55.97,8.17,84.08,11.15-1.99,5.23-4.43,11.77-6.61,17.43l.12-.07c-27.37-1.76-54.62-5.35-81.8-9.06l.12,.11c1.46-6.53,2.32M -13.23,4.21-19.65,0,0-.12,.1-.12,.1Z"/><path class="cls-2" d="M1313.16,244.77c-.19-1.62,.51-3.15,.85-4.71,1.23-5.09,2.27-10.28,3.87-15.27l-.08,.07c6.25-.6,12.58,.63,18.85,.92,16.06,1.15,32.08,2.61,48.09,4.27,1.21,.16,2.92,.16,2.72,1.72,.02,3.44,.02,6.88,.01,10.32,0,2.9-.02,5.8-.03,8.71,0,.53,.02,1.07-.52,1.54-12.5-.96-24.96-2.98-37.46-4.15-12.1-1.39-24.34-1.89-36.4-3.52l.1,.09Z"/><path class="cls-2" d="M123.43,1214.96c-21.71-.31-43.77-3.21-65.45-5.06-1.66-.26-4.7,.18-4.42-2.17,0-1.94,.05-3.88,.06-5.81,.02-4.2,.03-8M .4,.06-12.6,0-.63-.08-1.3,.69-1.86,22.35,2.55,44.74,5.25,67.19,6.94,1.74,.15,3.48,.28,5.22,.46,1.26,.13,1.59,.52,1.39,1.53-1.51,6.22-2.75,12.57-4.79,18.64l.08-.07Z"/><path class="cls-2" d="M1332.76,1370.74c.15-5.16-.05-10.35,.34-15.5,.63-1.09,2.6-.26,3.63-.24,7.2,1.38,14.35,2.96,21.56,4.26,2.69,.67,2.13-1.76,2.19-3.46,.02-7.43-.27-14.87-.04-22.29,.02-.42,.69-.74,1.18-.56,3.43,1.25,6.85,2.52,10.28,3.77,4.78,1.74,9.57,3.47,14.35,5.2,.96,.35,1.42,.92,1.41,1.77-.01,1.94,.01,3.88,.01,5.82,0,4.2,0,8.4,0,12.6-.13,.88,.34,M 2.42-1,2.43-8.19-1.1-16.26-3.02-24.39-4.48-1.15-.22-1.67,.15-1.72,1.19-.07,8.08-.01,16.16-.12,24.24,.11,1.74-1.71,1.68-3.1,1.65-7.28,0-14.56-.02-21.84-.03-1-.04-2.74,.14-2.83-1.18-.15-5.06,.07-10.12,.09-15.19h0Z"/><path class="cls-2" d="M1349.41,96.78c-12.27-.05-24.53,.75-36.79,.43,0-.35-.11-.7,.02-.97,2.92-6.36,5.9-12.7,8.77-19.08,1.32-2.41-1.29-1.85-2.81-1.94-8.35,.12-16.7,.25-25.05,.36-.82-.15-3,.37-2.92-.84,4.59-7.32,9.1-14.75,14.04-21.85,8.48-.33,16.97-.04,25.46-.13,2.83-.12,1.62,1.18,.99,2.91-2.56,5.78-5.13,1M 1.56-7.7,17.34-1.1,1.99-.17,2.04,1.68,2.03,9.96-.16,19.95-.04,29.9-.35l-.13-.09c-.65,6.06-2.84,11.98-4.07,17.98-.42,1.47-.38,3.1-1.48,4.27l.1-.07Z"/><path class="cls-2" d="M747.01,609.29s-.02,.05-.03,.07c-.02-.01-.04-.01-.06-.02,.01-.02,.05-.03,.07-.04,.01-.01,.02-.01,.02-.01Z"/><path class="cls-2" d="M786.61,633.33s-.09-.02-.13-.04c.01-.02,.02-.05,.03-.07l.1,.11Z"/><path class="cls-2" d="M799.33,541.24c-.35,.64-1.13,.9-1.78,1.27-5.42,3.2-11.02,6.14-16.34,9.48-.4,.29-.34,.83,.16,1.1,2.7,1.4,5.42,2.81,8.08,4.27,.58,M .74-1.23,1.41-1.72,1.86-4.41,2.67-8.49,5.65-12.61,8.59-.48,.35-.98,.69-1.22,1.3,3.01,1.66,6.53,2.57,9.45,4.25-.14,.79-.84,1.16-1.42,1.59-3.65,2.71-7.23,5.49-10.55,8.47-1.86,1.56-.72,1.75,.94,2.37,2.34,.82,4.7,1.61,7.05,2.42,.66,.23,.79,.84,.29,1.32-3.61,3.57-7.53,6.69-10.88,10.53,3.34,1.22,6.52,2.09,9.85,3.16,.56,.17,.78,.71,.46,1.06-3.16,3.55-6.57,6.78-9.39,10.62,3.61,1.43,7.56,1.81,10.99,3.19,.23,.48,.04,.86-.18,1.26-1.37,2.46-2.73,4.92-4.08,7.39-.49,1.24-2.51,3.35-.15,3.83,3.42,.82,6.8,1.79,10.2,2.72-1.7,3.72-3.M 48,7.4-5.12,11.14-.33,.7-1.43,.63-2.12,.48-3.23-.84-6.57-1.21-9.7-2.38,1-4.08,3.01-7.81,4.77-11.65,.29-1.15-1.94-1.09-2.67-1.44-2.84-.66-5.67-1.28-8.51-1.93-.01,0-.03-.01-.04-.01,0-.03,.02-.05,.02-.08,1.34-4.06,3.86-7.7,5.7-11.56,.19-.35-.12-.94-.59-1.06-3.06-.78-6.12-1.56-9.19-2.32-.73-.18-1.3,.07-1.61,.66-1.99,3.74-3.92,7.52-5.88,11.28-.11,.18-.47,.34-.79,.39,.41-4.71,.77-9.43,1.06-14.17,1.94,.47,3.87,.93,5.76,1.38,.35-.18,.64-.26,.78-.41,3.09-3.53,6.17-7.06,9.24-10.6,.85-1.02-.92-1.4-1.69-1.61-2.56-.77-5.32-1.42M -7.79-2.38-.34-.58,.07-.9,.36-1.22,3.27-3.62,7.01-7.08,10.58-10.46-.14-.62-.64-.81-1.1-.97-2.85-1.04-5.68-1.93-8.52-3.06,.29-1.23,1.4-1.8,2.27-2.62,3.35-2.8,6.71-5.6,10.07-8.39,.47-.39,1-.73,.93-1.47-2.81-1.28-5.96-2.34-8.69-3.9-.15-.09-.25-.42-.17-.56,4.74-4.31,10.57-7.58,15.69-11.46-.01-.6-.34-.9-.82-1.14-1.92-1-3.83-2-5.74-3.01-.51-.42-1.96-.74-1.67-1.54,5.7-4.53,12.58-7.78,18.74-11.59,.37,.07,.68,.07,.87,.18,2.74,1.87,5.99,3.25,8.42,5.43Z"/><path class="cls-2" d="M189.3,102.26c-.68-.5-.54-1.39-.57-2.14,.18-4.31M ,.37-8.61,.57-12.92,.47-7.42,.87-14.85,1.33-22.27,.27-3.65,.41-7.33,.84-10.96,.27-1.06,1.77-.92,2.65-.97,7.68,.01,15.37,.04,23.05,.07,.75-.05,1.6,.15,1.89,.87-.77,11.35-2.08,22.78-2.79,34.17-.43,5.7-.83,11.4-1.26,17.1-.05,.63,.02,1.31-.71,1.8-8.4-1.24-16.63-3.52-25.07-4.79-.02-.01,.06,.06,.06,.06Z"/><path class="cls-2" d="M1252.55,1337.94c-.5,.55-.56,1.2-.6,1.85-.11,1.94-.22,3.87-.28,5.81-.24,7.97-.81,15.92-1.4,23.88-.28,5.27-.65,10.54-1.05,15.81-.05,.53-.24,1.21-.85,1.33-8.04,.51-16.15,.02-24.22,.16-1.04,0-2.66,0-M 2.57-1.36,.53-9.04,1.67-18.04,2.34-27.07,.83-8.46,.78-17.07,2.06-25.45,8.95,1.16,17.78,3.61,26.7,5.16,0,0-.13-.1-.13-.1Z"/><path class="cls-2" d="M1244.37,241.5c22.97,.28,45.86,2.13,68.79,3.27l-.1-.09c-1.62,6.43-3.24,12.86-4.89,19.28-.46,1.77-4,.56-5.41,.72-2.68-.2-5.36-.43-8.03-.66-17.81-1.69-35.67-2.55-53.54-3.27-1.18-.29-5.49,.37-4.85-1.49,2.72-5.91,4.91-12.22,8.14-17.84l-.11,.07Z"/><path class="cls-2" d="M196.62,1198.39c-12.23-.58-24.49-.83-36.72-1.49-5.51-.27-11.02-.66-16.52-1.01-4.43-.29-8.86-.61-13.29-.92-1.M 35-.07-1.27-1.1-1.05-2.01,1.39-5.59,2.78-11.19,4.18-16.78,.14-.55,.47-1.15,1.15-1.18,9.41,.32,18.76,1.47,28.15,2.04,13.95,1.17,27.95,1.44,41.91,2.35,.8,.21,.66,1.1,.36,1.67-2.38,5.38-4.77,10.75-7.16,16.13-.23,.51-.49,1-1.15,1.28-.01,0,.12-.06,.12-.06Z"/><path class="cls-2" d="M112.37,1257.38c-.33-.16-.66-.43-1-.45-2.82-.17-5.65-.29-8.47-.43-13.58-.64-27.17-1.23-40.75-2.07-1.88-.11-3.75-.32-5.63-.42-3.38-.19-3.39-.21-3.37-2.8,.05-5.6,.09-11.2,.14-16.8,.06-1.09-.2-2.62,1.45-2.54,3.36,.12,6.71,.44,10.06,.71,17.16,1.54M ,34.36,2.54,51.57,3.33,1.3,.08,1.76,.47,1.58,1.39-.57,2.88-1.37,5.71-2.09,8.56-.78,3.06-1.57,6.12-2.32,9.18-.21,.86-.48,1.68-1.23,2.35,0,0,.06-.02,.06-.02Z"/><path class="cls-2" d="M1194.07,366.88c.24,.66-.03,1.27-.23,1.9-1.44,5.02-3.57,9.91-4.51,15.03l.09-.09c-26.35-3.7-52.84-6.69-79.4-8.33,2.15-5.21,4.59-10.31,6.56-15.59l-.1,.05c25.96,1.79,51.91,3.86,77.73,7.14l-.15-.12Z"/><path class="cls-2" d="M331.12,1064.38c-1.6,5.36-4.4,10.4-6.45,15.63l.11-.07c-25.97-1.78-51.94-3.66-77.75-7.14l.1,.1c1.94-5.62,3.42-11.42,5.7-M 16.91l-.14,.08c26,4.26,52.29,6.46,78.55,8.42l-.13-.12Z"/><path class="cls-2" d="M1183.54,399.84c.03,.42,.18,.87,.07,1.26-1.31,4.73-2.66,9.45-4.01,14.16-.54,1.84-4.35,.12-5.77,.09-24.88-4.32-49.97-8.24-75.16-10.29l.13,.08c1.87-4.99,3.43-10.1,5.55-15,26.57,2.32,53.03,5.89,79.36,9.81l-.17-.12Z"/><path class="cls-2" d="M1322.73,204.02c-1.51,6.97-3.58,13.84-4.93,20.84l.08-.07c-7.5-1.31-15.32-.86-22.92-1.44-13.06-.52-26.12-1.09-39.19-1.2-2.45-.09-2.84-.03-1.7-2.5,2.69-5.86,5.53-11.66,8.09-17.58l-.09,.06c20.21,.86,40.65,.M 1,60.75,1.98l-.1-.09Z"/><path class="cls-2" d="M179.17,1237.68c-19.76-.78-39.58-.45-59.33-1.69-1.3-.07-1.29-1.1-.94-2.02,1.47-6.34,3.54-12.57,4.51-19.01l-.08,.06c21.14,2.05,42.62,1.92,63.88,2.69,.31,.02,.73,.45,.63,.68-2.74,6.52-6.2,12.76-8.77,19.34l.09-.06Z"/><path class="cls-2" d="M436.03,360.73c-1.33-.36-2.67-.14-3.98,0-4,.41-8.03,.37-12.05,.48-.95,.03-1.88-.02-2.73-.44-.01,0,.04,.05,.03,.04,.2-.26,.56-.5,.61-.78,.79-4.79,1.03-9.65,1.62-14.47,1.77-15.12,3.79-30.24,6.47-45.22,.1-.54,.94-.84,1.53-.83,5.52-.12,11.0M 4-.24,16.56-.35,.78-.05,2.22,.08,2.08,.98-1.95,12.39-4.57,24.68-6.42,37.09-1.11,7.15-1.99,14.33-2.9,21.51-.1,.74-.16,1.51-.91,2.07l.09-.07Z"/><path class="cls-2" d="M1023.11,1078.99c-.96,1.08-.73,2.68-.99,4.03-.67,6.33-1.26,12.67-1.99,18.99-1.59,12.43-3.51,24.83-5.55,37.2-.18,1.29-1.97,.93-2.96,1-4.17,.09-8.35,.18-12.52,.26-1.19-.19-4.4,.72-4.67-.77,1.58-11.01,4.23-21.89,5.66-32.94,.74-4.81,1.49-9.61,2.18-14.43,.82-4.35,.65-8.88,2.01-13.11l-.11,.08c5.28-.63,10.61-.65,15.92-.79,1.07-.03,2.14-.04,3.06,.52,0,0-.04-.05M -.04-.05Z"/><path class="cls-2" d="M161.4,138.76c-.07-13.73-.08-27.52,.64-41.24,.02-.41,.65-.78,1.12-.68,8.71,1.79,17.47,3.37,26.13,5.41,.01,0-.07-.06-.05-.05-.47,.28-.62,.67-.65,1.11-.14,2.25-.34,4.51-.41,6.76-.42,12.57-.57,25.15-1.02,37.72-.13,.76-1.37,.54-1.94,.24-7.93-3.17-16.06-5.96-23.89-9.35l.08,.08Z"/><path class="cls-2" d="M1192.55,222.83c19.87-.69,39.77-1,59.65-.56,.27,1.77-1.07,3.31-1.61,4.97-2.03,4.77-4.39,9.42-6.22,14.27l.11-.08c-20.85-.39-41.72-.07-62.58,.02-.77-.28-.14-1.15,.11-1.64,3.54-5.68,7.09-11M .36,10.64-17.03l-.09,.06Z"/><path class="cls-2" d="M1279.05,1301.04c.32,13.68,.05,27.54-.41,41.24-.05,.45-.62,.79-1.11,.69-8.37-1.5-16.65-3.43-24.99-5.03,0,0,.13,.1,.13,.11-.58-.67-.42-1.44-.4-2.19,.13-4.74,.31-9.48,.43-14.21,.32-9.9,.3-19.82,.8-29.71,.19-.59,1.22-.41,1.7-.19,8.05,2.97,15.97,6.21,23.94,9.37l-.08-.07Z"/><path class="cls-2" d="M670.87,824.67c3.54,.66,6.93,1.71,10.38,2.59,.54,.14,.68,.58,.3,1.03-2.89,3.52-5.86,6.99-8.88,10.41-.31,.35-.1,.91,.41,1.07,2.52,.76,5.04,1.5,7.55,2.27,1.65,.51,2.16,.82,.79,2.M 24-2.72,2.95-5.59,5.8-8.63,8.55-.61,.56-1.37,1.06-1.49,1.96,3.18,1.29,6.63,2.21,9.94,3.7-4.27,4.13-8.86,7.6-13.33,11.48-.23,.19-.19,.74,.06,.86,2.69,1.47,5.78,2.24,8.4,3.83,.35,.34,.08,.85-.28,1.11-4.87,3.78-10.07,7.14-15.07,10.76-.43,.3-1,.32-1.49,.07-2.87-1.67-6.19-2.71-8.76-4.76,5.05-3.7,10.84-6.92,15.65-10.95-.1-.55-.47-.82-.97-1.03-2.71-1.13-5.5-2.24-8.15-3.46,0-.29-.11-.56,.02-.68,.61-.57,1.24-1.13,1.92-1.64,3.44-2.58,6.79-5.24,9.95-8.04,.45-.4,.92-.79,.83-1.47-3.14-1.34-6.71-2.07-9.75-3.54-.03-.73,.53-1.08,.M 95-1.47,3.27-3.15,6.72-6.14,9.89-9.39,.47-.6-.41-.99-.87-1.16-3.15-.94-6.3-1.87-9.37-2.78-.7,.03-.99,.42-1.32,.75-3.44,3.38-7.11,6.79-11.03,9.74-3.63-.6-6.98-2.44-10.51-3.52-.46-.17-.61-.82-.27-1.11,3.5-3.06,7.33-5.9,10.48-9.31-.36-.62-.98-.81-1.6-1.01-3.19-1.23-6.63-1.75-9.56-3.53,3.46-3.29,6.57-6.52,9.61-10.1l-.1,.04c3.7,.66,7.36,2.05,11.03,2.99,.34,.1,.61,.35,.98,.56-2.63,3.61-5.96,6.68-8.97,9.99-.32,.34-.12,.92,.38,1.07,3.14,.97,6.28,1.93,9.42,2.89,.46,.16,1.13,0,1.5-.19,3.7-3.33,6.89-7.18,10.06-10.9l-.09,.07Z"M /><path class="cls-2" d="M1281.56,161.34c-16.21,.57-32.48,1.16-48.7,1.52-1.01-.35,.28-1.6,.53-2.19,4.2-6.24,8.45-12.45,12.62-18.7l-.12,.05c9-.16,17.99-.57,26.98-.93,5.36-.36,10.74-.37,16.11-.42,.65,0,1.33-.06,1.91,.28,.28,.56-.05,1.05-.28,1.54-3.04,6.31-5.89,12.71-9.13,18.92l.07-.07Z"/><path class="cls-2" d="M436.05,360.72l.02,.02s-.09,.04-.13,.06c0,0,.07-.06,.09-.06,0-.01,0-.02,.02-.02Z"/><path class="cls-2" d="M449.34,412.15l-.07,.06v-.05s.05,0,.07,0Z"/><path class="cls-2" d="M455.28,358.63c-.81,7.85-2.37,15.62-3M .19,23.47-5.68-1.38-11.59-2.21-17.64-2.37,.65-5.82,1.3-11.65,1.93-17.48,.06-.52,.13-1.05-.31-1.51,5.63-1.16,11.75-.49,17.25-2.36,.62-.18,1.75-.62,1.96,.25Z"/><path class="cls-2" d="M990.83,1027.9c5.44-1.18,11.06-1.89,16.61-2.23,.96,.13,.82,1.2,.84,1.92-.54,17.3-2.84,34.49-4.12,51.72l.11-.08c-5.3,.55-10.79,.31-15.94,1.75-1.13,.14-3.35,1.2-2.99-.86,1.98-14.1,4.04-28.19,5.19-42.38,.26-2.79,.5-5.58,.75-8.37,.05-.54,.05-1.08-.33-1.55l-.12,.09Z"/><path class="cls-2" d="M90.76,1343.29c-1.36-.59-2.89-.33-4.34-.4-9.57-.04-1M 9.14-.05-28.71-.09-5.56-.19-4.99,.35-4.98-4.06,.13-5.81-.14-11.65,.29-17.44,.45-1.14,2.21-.59,3.2-.73,6.06,.11,12.12,.25,18.19,.33,7.54,.26,15.13-.22,22.63,.41,0,0-.09-.05-.08-.04-.58,.35-.73,.89-.86,1.4-1.97,6.85-3.06,14.01-5.45,20.7l.11-.08Z"/><path class="cls-2" d="M1349.31,96.84c12.37,.12,24.75-.14,37.12,.23,1.2,.1,1.16,1.22,1.18,2.1,0,6.02-.03,12.04-.05,18.07,.03,.73-.1,1.72-.95,1.89-13.97,.01-27.97-.55-41.95-.38l.15,.12c-.27-.51-.22-1.05-.09-1.58,1.42-6.85,4.06-13.57,4.7-20.52l-.1,.07Z"/><path class="cls-2" dM ="M987.92,363.09c20.25-1.6,40.49-3.31,60.81-3.87l-.16-.08c-2.41,4.77-4.65,9.63-7.23,14.32-19.56,1.02-39.21,1.52-58.74,3.44-.78,.06-1.32-.44-1.05-1,2.07-4.32,4.27-8.59,6.44-12.87l-.08,.06Z"/><path class="cls-2" d="M80.48,79.91c-.47-8.03-.07-16.12-.19-24.17-.16-3.09,.55-2.98,3.42-2.95,6.99,0,13.99,0,20.98,.02,1.67,.05,3.55-.3,3.31,2.05-.16,9.88,.07,19.79-.32,29.66-.28,1-1.97,.6-2.78,.5-8.11-1.85-16.56-2.83-24.48-5.18l.08,.07Z"/><path class="cls-2" d="M415.26,463.86s.07,.02,.1,.03v.05l-.1-.08Z"/><path class="cls-2" d=M "M431.44,461.95s.07-.02,.1-.03l-.1,.07v-.04Z"/><path class="cls-2" d="M431.52,428.07c-.23,11.29-.17,22.59-.08,33.88-3.98,1.08-8.19,1.27-12.28,1.9-1.24,.16-2.53,.42-3.8,.04-.89-14.72-.8-29.46-.79-44.2,0-1.17-.1-2.36,.31-3.59,5.19-.97,10.54-1.06,15.81-1.45l.2,6.5c.29-.01,.57-.01,.85-.01-.09,2.31-.18,4.62-.22,6.93Z"/><path class="cls-2" d="M474.26,1010.7c1.27,3.76,1.53,7.95,1.91,11.91,.02,.55-.14,1.04-.67,1.43,0,0,.09-.06,.08-.05-6.1-.28-12.31,.67-18.45,.72-13.4,.48-26.84,.64-40.24,.26l.11,.09c-.7-4.54-.54-9.19-1.63-1M 3.65l-.13,.1c19.71-.05,39.52,1,59.18-.67l-.15-.13Z"/><path class="cls-2" d="M964.38,416.15c19.92-1.71,40.02-1.89,60-1.32l-.11-.09c.98,4.49,.33,9.24,1.64,13.65l.13-.1c-19.05-.16-38.11-.66-57.16,.22-.79-.06-2.08,.16-2.43-.71-.91-3.86-.85-7.94-1.92-11.78l-.14,.12Z"/><path class="cls-2" d="M90.65,1343.37c2.41-1.01,5.32-.26,7.9-.52,7.51-.12,15.01-.26,22.52-.38,1.88-.03,3.75-.05,5.63-.04,1.15,0,1.87,.24,1.36,1.33-3.01,6.85-6.74,13.52-9.3,20.51l.13-.07c-.55,.39-1.23,.37-1.9,.39-9.55,.16-19.1,.44-28.65,.39-.72-.09-2.16,.16M -2.27-.82,.91-7.06,3.83-13.87,4.7-20.88,0,0-.12,.09-.12,.09Z"/><path class="cls-2" d="M80.4,79.84c-.27,8.28-.07,16.56-.05,24.85-.05,2.06,0,2.7-2.28,1.9-8.51-3.24-17.18-6.07-25.61-9.51-.35-6.57-.05-13.15-.14-19.73,0-.82-.1-2.05,1.01-2.14,9.12,1.01,18.04,3.85,27.15,4.7l-.08-.07Z"/><path class="cls-2" d="M118.76,1364.27c9.72,.64,19.64-.28,29.42-.17,2.04,.03,2.46,.28,1.21,2.14-4.29,6.7-8.59,13.4-12.9,20.09-.52,.91-1.85,.84-2.82,.86-8.18-.15-16.42,.43-24.57-.15-.54-.22-.43-.99-.25-1.43,3.08-6.88,6.18-13.76,9.29-20.63,.1M 3-.28,.47-.51,.72-.77,.01,0-.12,.07-.12,.07Z"/><path class="cls-2" d="M85.23,1365.49c-.62,4.99-2.25,9.88-3.29,14.81-.59,2.07-.83,4.3-1.68,6.28-.56,.68-1.67,.66-2.5,.68-7.52,0-15.05,0-22.57,0-1.45-.01-2.97,0-2.84-1.87,.03-6.23,.07-12.46,.11-18.68-.14-1.92,1.65-1.58,3.01-1.66,9-.02,18-.03,27-.02,.91,0,1.89-.19,2.75,.47Z"/><path class="cls-2" d="M1354.98,74.68c1.94-5.74,2.98-11.81,4.33-17.71,1.22-4.75,0-4.2,6.17-4.22,6.33-.02,12.66,0,19,0,1.26,.12,3.32-.4,3.15,1.51,0,6.25,0,12.49-.02,18.74-.05,.64-.04,1.52-.86,1.64-10M .61,.2-21.29,.31-31.91-.04,0,0,.12,.09,.12,.09Z"/><path class="cls-2" d="M463.06,686.97c-4-6.21-7.22-12.95-10.93-19.35-.32-.59-.7-1.17-.44-1.84,3.12-.66,7.11-.02,10.4-.21,.52-.02,1.48,0,1.57-.64-1.64-4.45-4.1-8.6-5.97-12.96-1.47-3.22-2.81-6.49-4.2-9.74-.76-1.56,1.44-1.86,2.41-2.46,3.03-1.35,5.83-3.25,8.96-4.29,.73,.23,.76,.82,.96,1.28,3.23,7.55,6.23,15.1,10.12,22.39l.05-.07c-3.37,2.1-6.8,4.13-10.51,5.85-1.16,.4-.94,1.3-.45,2.17,3.68,6.38,7,13,10.91,19.24l.15-.11c-4.29,.92-8.76,.58-13.13,.67l.08,.06Z"/><path class="M cls-2" d="M706.89,646.23c-.58,4.81-1.2,9.64-1.83,14.47-.05,.11-.09,.23-.15,.34,0,.03-.02,.05-.03,.08-.02-.01-.04-.01-.06-.02-3.43-1-7.02-1.28-10.54-1.94,0-.03,.02-.05,.02-.08,1.55-4.65,2.09-9.58,3.85-14.14,3.02,.02,5.76,1.06,8.74,1.29Z"/><path class="cls-2" d="M522.87,994.6c.38,3.67,2.1,7.11,2.48,10.77,.06,1.23-3.57,1.13-4.55,1.42-15.46,1.59-30.99,3.92-46.54,3.91l.15,.13c.05-2.71-.72-5.33-1.29-7.97-.32-1.47-.31-3.01-1.16-4.4l-.1,.09c17.09-.57,34.11-2.07,51.11-3.89l-.11-.07Z"/><path class="cls-2" d="M659.17,943.94s.M 05,0,.07,0c-.04,.03-.08,.05-.12,.07,0-.01,.02-.04,.03-.06l.02-.02Z"/><path class="cls-2" d="M702.93,940.81c-2.32,1.45-4.13,3.47-6.73,4.44-2.3-2.53-3.45-5.38-6.16-7.61-7.82,4.52-15.33,9.54-23.37,13.64-.76-.03-1.12-.31-1.42-.69-1.59-1.99-3.2-3.98-4.8-5.97-.29-.36-.65-.62-1.21-.67,8.03-4.61,16.23-9.03,23.99-13.9,.67,0,1,.34,1.29,.68,1.7,1.93,3.37,3.89,5.07,5.82,.23,.21,.66,.48,1.01,.4,3.2-1.76,6.13-4.03,9.1-6.15,1,3.35,2.08,6.69,3.23,10.01Z"/><path class="cls-2" d="M867.39,431c14.89-3.8,30.16-6.89,45.39-9.04l-.13-.09cM .91,3.89,1.68,7.79,2.55,11.7-14.99,2.24-29.82,5.03-44.59,8.34l.14,.07c-1.54-3.6-2.56-7.31-3.27-11.07l-.08,.09Z"/><path class="cls-2" d="M518.75,983.74c9.05-1.64,18.28-2.33,27.33-3.97,4.34-.7,8.64-1.58,12.96-2.36,.94-.08,2.26-.62,2.89,.33,1.32,2.81,2.64,5.62,3.94,8.44,.25,.54-.17,1.07-.87,1.23-13.95,2.94-27.98,5.29-42.13,7.19l.11,.07c-.21-.27-.51-.53-.61-.82-1.17-3.41-2.31-6.83-3.47-10.25l-.14,.14Z"/><path class="cls-2" d="M496.99,948.69s.03,0,.05,0c.01,.02,.03,.04,.04,.06l-.09-.07Z"/><path class="cls-2" d="M506.1,9M 48.61c-3.01,.03-6.07,.4-9.06,.09-2.47-3.41-4.94-6.82-7.41-10.23-.63-.95,.85-1.22,1.61-1.14,4.9-.03,9.79-.11,14.69-.17,.06,3.82,.12,7.63,.17,11.45Z"/><path class="cls-2" d="M530.96,935.82h-.04s-.03-.04-.05-.06l.09,.06Z"/><path class="cls-2" d="M787.33,729.68c2.76,.25,5.37,1.32,8.06,1.96,1.13,.39,3.06,1,3.14-.53,.59-3.74,1.18-7.47,1.92-11.18,.56-1.44,2.73-.19,3.8,.06,2.48,.84,4.94,1.69,7.41,2.53l-.09-.09c0,3.19-1.15,6.36-1.59,9.54-.37,1.28-.29,2.86-1.23,3.87-3.19-.73-5.93-2.02-9.06-2.89-.88-.28-1.51,.09-1.66,.9-.67,3M .93-1.26,7.87-1.96,11.8-.09,.41-.7,.73-1.19,.59-2.52-.72-5.04-1.46-7.56-2.19-.64-.18-1.29-.3-1.99,0-1.09,3.9-1.34,8.06-2.13,12.05-.12,.65-.44,1.44-1.25,1.4-3.41-.37-6.65-2.07-10.09-1.96,.71-.96,.75-2.05,.9-3.11,.53-3.74,1.08-7.47,1.62-11.21,15.3,2.35,9.2,5.41,13.04-11.64l-.1,.1Z"/><path class="cls-2" d="M693.59,906.63c-1.57-1.12-3.22-2.18-4.68-3.42-.14-.11-.15-.45-.04-.58,.99-1.05,2.25-1.84,3.38-2.76,.42,2.26,.86,4.51,1.34,6.76Z"/><path class="cls-2" d="M696.87,920.72c-4.13,2.93-8.29,6.02-12.77,8.56-.34,.04-.81,.07M -1.09-.19-2.05-2.1-4.76-3.79-6.43-6.14-.05-.52,.48-.74,.87-1,5.75-3.73,11.5-7.44,16.94-11.58,.76,3.46,1.59,6.91,2.48,10.35Z"/><path class="cls-2" d="M738.4,897.55c-1.02,2.18-2,4.36-2.97,6.52-.22-.95-.43-1.9-.64-2.86,1.21-1.22,2.41-2.44,3.61-3.66Z"/><path class="cls-2" d="M609.5,986.84c-12.32,3.76-24.67,7.39-37.23,10.35-.91,.32-2.21,.09-2.43-.96-.92-2.98-2.46-5.88-2.99-8.93,4.04-1.63,8.45-2.15,12.65-3.32,8.35-1.71,17.24-5.17,25.12-6.74l-.11-.08c1.63,3.26,3.26,6.51,4.89,9.77l.1-.09Z"/><path class="cls-2" d="M786.61,6M 33.33c1.25-2.95,3.12-5.68,4.81-8.48,2.2-3.64,2.64-3.13-2.17-4.53-2.41-.87-5.27-1.04-7.44-2.36,1.82-3.18,7.12-8.03,9.75-10.6,4.07,.95,8.29,2.3,12.08,4.05l-.14-.16c-8.54,8.26-8.64,8.37-9.43,10.36,13.94,5.46,13.28,.42,5.36,14.02-.43,.92-1.47,.84-2.29,.53-3.55-.98-7.1-1.96-10.64-2.94l.1,.11Z"/><path class="cls-2" d="M646.67,818.15c-4.1-1.21-8.11-3.01-12.27-3.89l.14,.1q5.96-9.54,6.4-11.49c-4-1.43-8.28-2.49-12.16-4.17l.08,.12c1.91-3.17,3.47-6.49,5.13-9.79,.24-.47,.42-1.03,1.18-1.19,3.03,.85,6.06,1.7,9.09,2.57,.88,.31,1.8M ,.39,2.44,1.13-.88,2.92-2.54,5.62-3.75,8.43-.25,.95-1.93,2.51-.56,3.18,3.39,1.03,6.8,1.98,10.2,2.98,.81,.27,.7,1.11,.39,1.68-2,3.51-3.98,7.03-6.41,10.38l.1-.04Z"/><path class="cls-2" d="M637.65,964.94c9.69-3.75,18.76-8.35,27.89-12.88,.27-.05,.81,.09,1.01,.36,1.48,1.76,3.94,5.63,5.08,7.98l.09-.08c-9.13,4.89-18.51,10.01-28.39,13.59l.14,.05c-2.17-2.86-3.79-6.09-5.7-9.12l-.12,.11Z"/><path class="cls-2" d="M626.45,670.14c1.5-4.94,2-10.29,4.14-14.98l-.18,.12c2.79,1.49,5.58,2.98,8.62,4.12,.21,.08,.52,.01,.92,.01,1.2-4.6,2M .45-9.22,3.74-13.8,.07-.26,.68-.52,.95-.42,2.9,1.1,5.74,2.3,8.48,3.55,.24,1.07-.13,2-.35,2.94-.95,4-1.9,8-2.85,12-3-.78-5.85-2.09-8.75-3.17-.62-.23-1.43,.07-1.56,.6-.37,1.47-.73,2.93-1.06,4.41-.59,2.63-1.15,5.26-1.72,7.9-.17,.78-.79,1.01-1.74,.64-2.94-1.24-5.79-2.66-8.7-3.98l.07,.06Z"/><path class="cls-2" d="M817.23,696.61c-.34,3.9-1.81,7.8-2.56,11.69-.1,.41-.76,.71-1.24,.56-3.23-1.06-6.44-2.13-9.71-3.04-.64-.07-.89,.67-.97,1.17-.59,3.18-1.15,6.37-1.74,9.55-.22,.71-.27,1.69-1.16,1.87-3.67-.87-7.32-2.11-10.98-3.1l.1M 5,.11c1.5-4.26,1.01-8.8,2.8-13.01,3.59,.48,6.83,1.96,10.36,2.64,.26,.05,.83-.27,.92-.51,1-3.29,1.41-6.76,2.21-10.12,.2-.72,.45-1.77,1.45-1.6,3.65,1.05,7.25,2.21,10.57,3.84l-.08-.06Z"/><path class="cls-2" d="M979,733.46c4.12,6.46,8.61,12.71,11.97,19.54,.1,.24-.1,.46-.39,.45-4.41,.06-8.76-.65-13.17-.62l.09,.06c-3.68-6.6-8.2-12.74-12-19.24,1.54-.72,3.15-.53,4.79-.59,2.94,.09,5.88,.13,8.8,.46l-.09-.07Z"/><path class="cls-2" d="M461.39,706.29c3.86,5.43,7.72,10.86,11.58,16.29,.39,.76,1.46,1.48,.92,2.35-4.69,.22-9.4-.38-1M 4.09-.51l.04,.02c-3.66-5.25-7.33-10.49-10.97-15.75-.31-.73-2.81-3.38-1.36-3.6,4.66,.24,9.28,1.08,13.97,1.25l-.09-.06Z"/><path class="cls-2" d="M461.47,706.35c-4.16-6.45-8.72-12.73-11.99-19.56,.05-.44,.75-.6,1.17-.56,4.15,.12,8.25,.74,12.41,.74l-.09-.06c3.5,6.29,7.62,12.37,11.6,18.45,1.91,2.43-11.82,.76-13.19,.94l.09,.06Z"/><path class="cls-2" d="M702.58,555.4c-4.47,4.82-8.53,9.93-12.65,14.92-.12,.11-.55,.13-.72,.05-2.45-1.31-4.8-3.13-7.02-4.59,0-.37-.1-.63,.01-.79,3.94-5.05,7.71-10.47,12.38-15.01,.43-.21,1.04-.03,1M .4,.26,2.16,1.76,4.79,3.06,6.59,5.16Z"/><path class="cls-2" d="M688.97,877.81c-1.18,1.01-1.76,1.63-3.41,.75-2.24-.99-4.46-2-6.69-3.01-.46-.21-.88-.45-1.05-1,3.26-2.9,6.82-5.59,9.99-8.54,.32,3.94,.7,7.87,1.16,11.8Z"/><path class="cls-2" d="M788.86,715.32c.45,1.39,.03,2.77-.16,4.14-.38,3.41-1.2,6.79-1.37,10.22l.1-.1c-3.72-1.07-7.6-2.11-11.48-2.49,3.73-15.49-2.76-15.13,13.06-11.66l-.15-.11Z"/><path class="cls-2" d="M1228.38,910.98c-.05,.07-.09,.19-.14,.19-.31,0-.28-.04,.09-.09,0-.01,.05-.1,.05-.1Z"/><path class="cls-2M " d="M1279.81,881.08v-.2s.02,.17,0,.2Z"/><path class="cls-2" d="M433.09,751.59c-.28-.18-.27-.23,.03-.15-.04,.06-.09,.13-.13,.19l.1-.05Z"/><path class="cls-2" d="M1240.27,858.9s.12-.06,.12-.06c0,0-.12,.06-.12,.06Z"/><path class="cls-2" d="M393.07,779.89l.28-.25s-.13,.14-.24,.25h-.03Z"/><path class="cls-2" d="M481.61,853.12l.15,.02c-.08-.1-.05-.11-.15-.02Z"/><path class="cls-2" d="M248.66,642.99l.11,.06c0-.15,.02-.14-.11-.06Z"/><path class="cls-2" d="M375.64,837.58l.27,.03c-.13,.19-.19,.16-.18-.09l-.08,.07Z"/><path cM lass="cls-2" d="M1037.31,730.23l-.31-.14c.26-.16,.33-.1,.22,.19l.09-.06Z"/><path class="cls-2" d="M1086.38,834.09l-.3,.07c.09-.03,.19-.07,.29-.11,0,0,0,.04,0,.04Z"/><path class="cls-2" d="M1028.34,666.28c.29-.06,.4,.01,.33,.2-.21,.03-.27-.04-.25-.26l-.08,.06Z"/><path class="cls-2" d="M215.67,631.85l-.23,.11c.12,0,.17,.02,.23-.11Z"/><path class="cls-2" d="M835.41,996.91l-.03-.19c-.19,.08-.15,.11,.14,.11,0,0-.11,.08-.11,.08Z"/><path class="cls-2" d="M1024.12,629.75l-.19,.07c.1-.08,.1-.19,.19-.07Z"/><path class="cls-2M " d="M213.94,629.46s.07-.07,.08-.06-.08,.06-.08,.06Z"/><path class="cls-2" d="M998.52,718.5l-.17,.09c.11,.02,.11,0,.17-.09Z"/><path class="cls-2" d="M1070.09,761.82c.09-.16,.18-.45,.28-.45,.35-.01,.34,.09-.02,.19-.09,.03-.15,.12-.24,.21l-.02,.05Z"/><path class="cls-2" d="M146.85,783.14l-.17,.11c.11,0,.12-.01,.17-.11Z"/><path class="cls-2" d="M1257,1041.9c.08-.04,.16-.08,.24-.13-.1,.04-.2,.08-.31,.12-.02,0,.08,0,.08,0Z"/><path class="cls-2" d="M708.45,1043.49l-.06-.12c.08,.05,.24,.03,.06,.12Z"/><path class="cls-2" dM ="M706.98,1045.42l-.11-.14c.13,.07,.22,.03,.11,.14Z"/><path class="cls-2" d="M1211.59,762.83l-.21,.18c.04-.06,.09-.11,.14-.18,.01,0,.07,0,.07,0Z"/><path class="cls-2" d="M1072.6,698.98l-.42,.2c.1-.04,.47-.27,.42-.2Z"/><path class="cls-2" d="M412.1,696.62l-.23-.12c.26-.09,.3-.03,.14,.18l.1-.05Z"/><path class="cls-2" d="M1092.71,695.04l-.14,.07c.06-.08,.04-.19,.14-.07Z"/><path class="cls-2" d="M775.96,1083.78l.27-.12c0,.2-.11,.22-.33,.04,0,0,.06,.08,.06,.08Z"/><path class="cls-2" d="M257.78,597.94l.51-.18c-.14,.03-.4M 3,.2-.51,.18Z"/><path class="cls-2" d="M718.23,1098.91l-.37-.32c.24-.03,.18,.12,.24,.29,.02,0,.13,.04,.13,.04Z"/><path class="cls-2" d="M1100.78,662.2c-.08,.07-.21,.21-.24,.2-.19-.08-.09-.16,.3-.22,.03,0-.06,.02-.06,.02Z"/><path class="cls-2" d="M624.22,1111.98c-.12-.1-.23-.2-.35-.3,.25,.02,.32,.12,.36,.35,0,.02-.01-.06-.01-.06Z"/><path class="cls-2" d="M646.13,1117.89v-.18c.1,.11,.19,.12,0,.18Z"/><path class="cls-2" d="M310.21,573.78l-.1-.06c0,.15-.03,.14,.1,.06Z"/><path class="cls-2" d="M780.14,1133.02v-.27c.35,.M 06,.31,.13-.09,.22l.09,.06Z"/><path class="cls-2" d="M589.12,1154.23l.04,.21c-.26,0-.25-.05,.05-.15l-.1-.06Z"/><path class="cls-2" d="M605.07,1165.57v.14c-.15-.07-.15-.06,0-.14Z"/><path class="cls-2" d="M378.95,529.15l-.21,.04,.11-.13c0,.06,.01,.11,.02,.16l.08-.08Z"/><path class="cls-2" d="M1007.33,688.24l.31,.13c-.25,.17-.32,.11-.22-.18l-.09,.06Z"/><path class="cls-2" d="M523.46,1191.36l.23,.39c-.08-.13-.16-.26-.24-.42,0-.02,.01,.03,.01,.03Z"/><path class="cls-2" d="M597.35,493.02v-.16c.18,.12,.15,.15-.08,.09l.08,M .07Z"/><path class="cls-2" d="M171.32,461.66l-.27,.08c.21,.14,.25,.09,.11-.13,0,0,.16,.05,.16,.05Z"/><path class="cls-2" d="M412.14,773.5l-.16-.02c.08,.12,.06,.11,.16,.02Z"/><path class="cls-2" d="M555.57,1219.39l-.19-.22c.07,.07,.15,.14,.23,.21,0,0-.04,0-.04,0Z"/><path class="cls-2" d="M628.12,1219.02c.06,.7-1.41,.28-.17-.14l.17,.14Z"/><path class="cls-2" d="M638.3,415.07l-.04,.19c.24-.05,.2-.09-.1-.12,0,0,.14-.07,.14-.07Z"/><path class="cls-2" d="M560.31,1238.68l.46,.32c-.12-.09-.24-.18-.39-.27-.03,0-.07-.04-.07-M .04Z"/><path class="cls-2" d="M476.02,1239.66l-.19,.13c-.01-.2,.07-.21,.25-.05,0,0-.06-.08-.06-.08Z"/><path class="cls-2" d="M796.77,320.09v.21c.21-.02,.19-.07-.09-.13,0,0,.09-.08,.09-.08Z"/><path class="cls-2" d="M660.72,307.27l-.19-.21c.07,.07,.15,.14,.23,.2,0,0-.04,0-.04,0Z"/><path class="cls-2" d="M767.07,301.73l-.08-.06,.08,.06Z"/><path class="cls-2" d="M703.81,286.66c.07,.03,.21,.08,.21,.09-.09,.23-.11,.21-.08-.05-.01,0-.13-.04-.13-.04Z"/><path class="cls-2" d="M479.99,1310.06l.2-.09-.1,.15c-.05-.05-.1-.09-.1M 5-.14,0,0,.05,.09,.05,.09Z"/><path class="cls-2" d="M755.9,264.86l-.26,.15c-.04-.2,.07-.23,.32-.07,0,0-.07-.08-.07-.08Z"/><path class="cls-2" d="M577.14,262.92c.65,.28,.66-.3,.79-.71l-.05-.02c-.4,.12-.77,.2-.74,.68v.04Z"/><path class="cls-2" d="M914.3,249.26c-.17-.36,.47-.5,.58-.18,0,.24-.19,.32-.48,.26l-.1-.08Z"/><path class="cls-2" d="M814.39,243.8l-.02-.22c-.23,.06-.2,.11,.1,.14,0,0-.09,.09-.09,.09Z"/><path class="cls-2" d="M753.96,241.18l-.35-.14c.09,.05,.29,.04,.35,.14Z"/><path class="cls-2" d="M816,219.41l-.3M 2-.47c.16,.22,.25,.35,.35,.47,0,0-.03,0-.03,0Z"/><path class="cls-2" d="M1098.81,212.47v-.19c.22,.14,.19,.18-.09,.11l.09,.07Z"/><path class="cls-2" d="M765.37,204.6l.16,.16c-.25,.12-.27,.08-.05-.11,0,0-.11-.05-.11-.05Z"/><path class="cls-2" d="M819.94,189.58l.51,.23c-.19,.04-.25-.1-.42-.2-.03,0-.09-.03-.09-.03Z"/><path class="cls-2" d="M1036.44,164.59l-.08,.21c-.19-.18-.14-.23,.16-.13l-.08-.08Z"/><path class="cls-2" d="M370.46,678.14l-.14,.14c.04-.16-.04-.23,.14-.14Z"/><path class="cls-2" d="M627.15,771.63l.06-.12sM .04,.01,.06,.01l-.12,.11Z"/><path class="cls-2" d="M643.34,763.23s0-.06,.02-.09c.04,0,.08,.01,.12,.01l-.14,.08Z"/><path class="cls-2" d="M649.17,737.27c-.03,.05-.07,.09-.09,.14-.03,0-.05-.02-.08-.03l.17-.11Z"/><path class="cls-2" d="M657.9,753.56s0-.07,.02-.1c.03,0,.07,.01,.1,.02l-.12,.08Z"/><path class="cls-2" d="M662.05,726.32s.02,.07,.02,.1c-.05-.01-.09-.03-.14-.04l.12-.06Z"/><path class="cls-2" d="M671.64,742.58s.01-.07,.02-.11c.04,.01,.07,.02,.11,.03l-.13,.08Z"/><path class="cls-2" d="M698.9,703.67c-.67,4.55-1M .34,9.11-2.01,13.68-3.47,.11-6.65-.95-10.19-.68-1.26,4.35-.86,9.1-2,13.53,0,.03-.01,.05-.01,.08-2.9-.42-5.8-.88-8.7-1.29-.88-.11-2.43-.32-2.57,.8-.58,4.22-1.17,8.46-1.76,12.68-2.81-.94-5.87-1.11-8.75-1.81-.75-.14-1.57-.28-2.29,.05-.12,.18-.33,.35-.36,.54-.79,4.07-1.57,8.14-2.34,12.21-3.43-.83-6.85-1.66-10.28-2.48-.55-.16-1.5,0-1.65,.55-.87,3.87-1.76,7.74-2.63,11.61-3.9-.49-7.71-2.29-11.53-3.13-.7,.24-.94,.62-1.08,1.04-1.12,3.52-2.06,7.07-3.54,10.46-4.23-1.02-8.08-2.96-12.18-4.39,1.03-3.98,3.05-7.7,4.06-11.68,0-.01,M 0-.02,0-.03,3.91,1.32,7.71,2.98,11.72,4.01,2.06-3.76,2.62-8.26,3.63-12.38,0-.02,.01-.03,.01-.05,3.27,1.49,6.97,2.11,10.41,3.2,.65,.18,1.35-.18,1.5-.72,1.1-3.96,1.08-8.29,2.71-12.06,3.29,1.19,6.81,1.79,10.29,2.46,.49,.1,.93-.24,1.03-.76,.71-4.21,1.48-8.46,1.67-12.69,3,.86,6.17,1.18,9.24,1.8,1.72,.35,2.15,.06,2.41-1.34,.44-4.01,1.44-8.11,1.16-12.13-.01-.02-.01-.04-.02-.06,3.17,.45,6.34,.93,9.51,1.34,1.6,.21,1.99-.04,2.16-1.22,.2-1.39,.34-2.78,.5-4.17,.27-2.35,.52-4.7,.8-7.05,.1-.85,.59-1.19,1.51-1.13,3.2,.32,6.38,.82M ,9.56,1.21Z"/><path class="cls-2" d="M699.27,703.72s-.01,.03-.02,.05c-.03,0-.06,.01-.09,.01,0-.03,0-.05,0-.08,.04,.01,.08,.01,.12,.02Z"/><path class="cls-2" d="M666.93,768.98c-4.1-.79-8.16-2.04-12.28-2.55l.09,.06c1.79-4.05,2.08-8.72,3.29-13l-.12,.07c15.95,2.19,10.53,5.53,13.87-11.06l-.13,.08c3.85-.11,7.55,1.25,11.4,1.17-.02,4.6-1.47,9.06-1.57,13.65-3.61,.05-7.12-.99-10.71-1.33-.46-.06-1.13,.32-1.23,.65-.97,4.1-1.81,8.24-2.74,12.35l.14-.09Z"/><path class="cls-2" d="M622.3,783.28c1.58-3.93,3.79-7.74,4.97-11.76l-.12,.M 12c3.97,1.52,8.01,2.9,12.24,3.91l-.13-.15c.03,.21,.15,.44,.07,.63-1.31,3.36-2.65,6.72-3.98,10.08-.2,.68-.84,1.27-1.64,1.07-3.86-1.14-7.62-2.57-11.42-3.89Z"/><path class="cls-2" d="M654.65,766.43c.28,.64,.12,1.28-.05,1.9-1.05,3.3-1.58,6.83-3,9.98-.11,.21-.73,.42-1.04,.34-3.82-.96-7.7-1.8-11.3-3.26l.13,.15c1.75-4.05,2.56-8.3,4.09-12.38l-.14,.08c3.68,1.45,7.74,1.76,11.4,3.25l-.09-.06Z"/><path class="cls-2" d="M675.9,783.82c-4.19-.08-8.15-1.72-12.33-1.83,.65-4.39,2.07-8.75,3.35-13.01,3.37,.36,8.24,1.71,12.21,1.93-.48,.M 4-.71,.88-.84,1.42-.79,3.13-1.61,6.26-2.39,9.39-.18,.72-.45,1.45-.21,2.21l.21-.11Z"/><path class="cls-2" d="M1021.15,931.2c.02,.54-.47,1-1.18,1.13-3.24,.61-6.46,1.2-9.69,1.8-.45-12.54-2.77-25.27-7.19-37.83,4.04-1.31,8.3-2.06,12.41-3.23,1.72,12.7,4.63,25.32,5.65,38.13Z"/><path class="cls-2" d="M928.04,467.85c-1.5-3.82-4.9-7.1-5.51-11.26,16-2.45,33-2.77,49.28-3.07,2.01,3.99,4.02,7.98,6.03,11.98,.3,.59-.08,.98-.95,1-16.29,0-32.62-.24-48.85,1.35Z"/><path class="cls-2" d="M918.34,445.23c-1.11-3.91-1.88-7.92-3.26-11.74,1M 5.45-1.65,30.87-3.67,46.41-4.46,5.28-.17,4.95-.84,5.61,3.62,.29,1.92,.82,3.81,1.18,5.72,.22,2.11,.76,2.84-1.86,2.88-6.72,.23-13.41,.75-20.12,1.13-9.36,.73-18.73,1.39-27.97,2.86Z"/><path class="cls-2" d="M750.12,666.93v-.09s.07,.01,.11,.01l-.11,.08Z"/><path class="cls-2" d="M753.46,653.27c-1.46,4.45-2.83,8.96-3.34,13.57-1.33-.18-2.66-.37-4-.54,.61-4.55,1.19-9.12,1.74-13.7,1.87,.32,3.7,.69,5.6,.67Z"/><path class="cls-2" d="M763.19,627.42c-2.5,3.99-3.56,8.75-5.68,12.95-.02,.02-.03,.05-.04,.07-2.7-.51-5.39-1.01-8.08-1.M 51,.43-4,.82-8.02,1.17-12.04,.33-.54,.57-1.4,1.36-1.39,3.83,.16,7.46,1.72,11.27,1.92Z"/><path class="cls-2" d="M776.91,657.8c-1.04,4.34-2.68,8.6-3.34,13.01l.12-.08c-4.08-.67-8.13-1.62-12.26-1.94l.1,.13q2.58-10.93,3.8-13.08c3.89,.29,7.74,1.29,11.58,1.95Z"/><path class="cls-2" d="M753.33,653.34c1.26-4.35,3.27-8.57,4.05-13,3.52,.71,7.04,1.41,10.56,2.13,1.54,.34,.59,1.87,.31,2.82-.95,2.91-1.89,5.83-2.85,8.74-.18,.53-.45,1.11-1.09,1.22-3.68-.21-7.4-1.12-10.98-1.91Z"/><path class="cls-2" d="M750.12,666.94c3.76,.76,7.83,.M 69,11.41,1.99l-.1-.13c-.74,4.33-1.83,8.61-2.31,12.97-3.83-.04-7.6-.94-11.43-1.25,.36-4.06,1.34-8.08,1.97-12.12,.09-.52,.37-1.03,.57-1.54l-.11,.08Z"/><path class="cls-2" d="M793.88,688.83c-.22,3.66-1.26,7.23-1.88,10.85-.27,.93-.35,2.37-1.75,2.09-3.11-.68-6.19-1.5-9.35-1.98-1.24-.03-1.27,1.46-1.46,2.35-.37,2.78-.71,5.57-1.09,8.35-.23,.77-.13,2.03-1.13,2.22-3.68-.32-7.35-1.34-11.02-1.92l.16,.11c1.6-4.16,.83-9.35,2.37-13.67,3.36,.65,6.73,1.3,10.09,1.95,.84,.12,1.26-.6,1.3-1.29,.93-3.86,1.01-7.94,2.46-11.64l-.1,.1c3.8,.M 81,7.56,1.84,11.39,2.48Z"/><path class="cls-2" d="M818.05,656.59c-.08-.56,.29-1.02,.56-1.5,1.5-2.72,3-5.45,4.52-8.16,.26-.47,.55-.96,1.34-1.26,4.1,1.51,8.15,3.5,12.3,5.04-2.17,3.37-3.95,7.18-6.34,10.32-.73,.11-1.29-.22-1.88-.46-3.53-1.26-6.81-3.2-10.5-3.97Z"/><path class="cls-2" d="M773.58,670.81c3.81,.84,7.61,1.68,11.42,2.52-.75,4.35-2.16,8.63-2.5,13.02l.1-.1c-4.1-.84-8.19-1.69-12.29-2.53,1.66-4.21,1.52-8.83,3.39-12.99l-.12,.08Z"/><path class="cls-2" d="M809.28,679.77c-5.82,14.87,1.42,13.79-15.52,9.11,1.77-3.73,1.M 67-8.06,3.23-11.86,.09-.24,.66-.49,.97-.41,3.86,.86,7.43,2.37,11.33,3.16Z"/><path class="cls-2" d="M646.55,678.57c1.6-4.82,2.36-9.99,3.28-14.97,3.38,1.43,6.94,2.47,10.61,3.3l-.08-.06c-1.72,4.84-1.64,10.08-3.29,14.96l.12-.12c-3.56-.98-7.01-2.46-10.64-3.12Z"/><path class="cls-2" d="M653.2,710.13c-3.92-.84-7.71-1.98-11.5-3.13,1.57-4.3,1.35-9.09,2.73-13.44,.79-.29,1.41-.11,2.03,.07,2.76,.79,5.51,1.6,8.26,2.39l-.07-.08c.14,4.77-1.22,9.54-1.62,14.31l.16-.12Z"/><path class="cls-2" d="M654.73,696.02c1.29-4.63,1.84-9.55,2.4M 6-14.32l-.12,.11c3.59,.6,7.16,1.47,10.62,2.59l-.08-.09c0,4.81-1.48,9.5-1.51,14.29-3.81-.89-7.63-1.78-11.44-2.67l.07,.08Z"/><path class="cls-2" d="M649.17,737.27c-4.22-.41-8.19-2.19-12.33-3.11,1.66-3.72,1.59-8.02,2.59-11.96,.11-.57,.48-1.11,1.21-.99,14.82,3.75,8.7,4.93,12.57-11.08l-.16,.12c2.97,.66,5.95,1.32,8.92,1.98,1.09,.11,2.14,.85,1.8,2.04-.65,4.02-.57,8.24-1.83,12.12l.12-.07c-2.89-.15-5.65-1.11-8.47-1.66-.84-.15-2.34-.65-2.72,.41-.54,4.1-1.7,8.2-1.85,12.31l.16-.11Z"/><path class="cls-2" d="M731.49,792.98c-.47,M 3.1-1.78,6.01-2.64,9.02,.19-3.11,.42-6.23,.66-9.35,.66,.11,1.32,.22,1.98,.33Z"/><path class="cls-2" d="M731.6,793s-.07-.01-.11-.02c0-.03,.01-.06,.01-.09l.1,.11Z"/><path class="cls-2" d="M742.13,794.84s.01,.1,.01,.15c-.06-.01-.13-.02-.19-.03l.18-.12Z"/><path class="cls-2" d="M772.79,802.59c-3.25-1.09-6.56-1.94-9.72-3.23-1.79,4.87-2.84,10.09-5.14,14.74-3,.02-5.92-1.44-8.79-2.19-.29-.09-.6-.49-.59-.74,1.13-4.8,2.76-9.54,4.07-14.31,0-.03,.01-.05,.02-.08-3.52-.17-7-1.29-10.5-1.79-.68,4.2-2.45,8.24-3.58,12.36-.29,.62-.51M ,1.75-1.39,1.74-2.94-.36-5.79-.99-8.62-1.68-.27,5.15-.46,10.29-.56,15.41,1.1,.41,3.17,.27,3.7,1.43-.68,3.02-2.61,5.7-3.78,8.56,0,2.11,.02,4.22,.06,6.32,2.27,.8,4.73,1.2,6.85,2.37,.01-.02,.02-.05,.04-.07,2.37-4.46,4.6-8.97,6.67-13.58,.14-.3,.22-.6-.05-.89,3.06-.38,6.39,1.56,9.41,2.23,.44,.13,1.16-.12,1.33-.49,8.44-16.83,1.2-14.86,15.29-11.21,2.18-4.86,3.45-9.93,5.37-14.87l-.09-.03Zm-25.12,10.51c-2.12,4.57-3.26,9.72-6.21,13.83-.18-.26-.3-.64-.57-.72-2.68-.94-5.67-1.29-8.23-2.5-.05-.2-.2-.41-.13-.58,1.81-4.35,3.16-8.9M 5,5.27-13.13,.7-.58,1.84-.17,2.64-.07,2.39,.65,4.95,.88,6.96,1.75,.62,.59,.42,1.04,.27,1.42Z"/><path class="cls-2" d="M758.98,767.7c-.1,4.56-1.79,9.1-2.5,13.64-.09,.4-.7,.77-1.18,.7-2.63-.43-5.24-.89-7.86-1.36-1.17-.18-1.76,.16-1.99,1.09-1.29,4.36-1.67,9.04-3.51,13.19l.18-.11c-3.54-.65-7.09-1.3-10.63-1.95l.1,.1c1.32-4.7,2.99-9.48,3.11-14.31,3.28,.36,6.54,.92,9.81,1.37,.78,.11,1.34-.2,1.46-.77,.97-4.49,1.93-8.99,2.5-13.55,3.49,.87,7.16,1.07,10.61,2.04l-.11-.09Z"/><path class="cls-2" d="M761.43,753.6c3.55-.02,7.2,.98M ,10.63,1.82-.11,4.27-1.28,8.44-1.91,12.65-.16,.98-.67,1.82-1.89,1.53-3.09-.62-6.15-1.43-9.27-1.9l.11,.09c1.29-4.67,1.63-9.53,2.46-14.29l-.12,.11Z"/><path class="cls-2" d="M1041.28,373.35c22.91,.41,45.94,.34,68.85,1.97-1.87,4.66-3.75,9.33-5.6,14-.12,.29-.04,.63-.06,.95-22.75-1.75-45.54-2.5-68.35-2.76-.8-.3-.22-1.4-.06-1.99,1.73-4.05,3.81-7.98,5.22-12.16Z"/><path class="cls-2" d="M675.9,783.82s-.09,.09-.12,.14c-.03-.01-.05-.02-.08-.03l.2-.11Z"/><path class="cls-2" d="M689.26,777.52c-.29,2.95-.55,5.91-.8,8.89-.75-.19-M 1.61,.06-1.84,.8-.9,2.7-1.77,5.41-2.7,8.11-1.43,4.14-.68,4.05-6.05,2.94-2.35-.49-4.7-.94-7.05-1.41,2.32-3.99,2.61-8.97,4.96-12.89,3.41,.82,7,1.59,10.51,1.86,.23-.02,.56-.17,.63-.32,1.08-2.57,1.73-5.28,2.34-7.98Z"/><path class="cls-2" d="M690.37,772.89s-.01,.05-.01,.08c-.04-.01-.08-.03-.12-.04,0-.02,.01-.03,.01-.05,.04,0,.08,0,.12,0Z"/><path class="cls-2" d="M702.5,630c-1.34,4.25-2.68,8.5-4.02,12.76-.15,.77-.49,1.71-1.49,1.61-2.75-.46-5.48-.97-8.22-1.48-.65-.11-1.3,.26-1.45,.84-1.19,4.5-2.22,9.04-3.55,13.51l.13-.08cM -2.6-.56-5.2-1.11-7.79-1.67-.77-.16-1.54-.4-2.41-.11-1.86,4.25-1.77,9.15-3.22,13.55-.08,.24-.66,.5-.98,.42-3.02-.83-6.3-1.2-9.13-2.51l.08,.06c.01-.63-.08-1.27,.05-1.88,1.07-4.33,1.54-8.87,3.1-13.05,2.52,1.29,5.53,1.68,8.27,2.49,1.12,.28,1.71-.03,1.98-1.03,.95-3.8,1.89-7.59,2.92-11.37,.17-.62,.3-1.28,1.17-1.73,12.24,2.2,8.48,4.81,12.45-7.3,.45-1.46,.98-2.9,1.5-4.35,.17-.47,.69-.69,1.26-.56,3.12,.61,6.17,1.65,9.35,1.87Z"/><path class="cls-2" d="M672.46,621.58c3.15,1.33,6.35,2.54,9.81,3.25-1.55,4.66-3.06,9.32-4.61,13.M 98-.29,.84-.84,1.09-1.76,.82-2.77-.81-5.51-1.69-8.29-2.44,.97-5.34,3.93-10.31,4.85-15.62Z"/><path class="cls-2" d="M667.74,637.13c-1.91,4.09-2.59,8.71-3.94,13.03-.16,.61-.1,1.26-.14,1.9-3.28-.64-6.24-1.89-9.26-3.04-.49-.18-.71-.59-.58-1.08,.6-2.3,1.2-4.61,1.84-6.91,.52-1.88,1.08-3.76,1.64-5.63,.24-.74,.67-1.75,1.66-1.41,2.93,1.05,5.86,2.1,8.79,3.15Z"/><path class="cls-2" d="M682.15,624.89c2.47-4.82,3.63-10.25,6.53-14.93,2.72,.91,5.44,1.81,8.16,2.72,.9,.28,1,.9,.72,1.59-1.71,4.18-3.41,8.36-5.13,12.53-.22,.53-.93,.83M -1.61,.64-2.9-.84-5.78-1.69-8.68-2.54Z"/><path class="cls-2" d="M709.9,616.2c-.39,5.07-.86,10.15-1.38,15.25-2.07-.39-4.14-.8-6.15-1.38,.01-.03,.03-.05,.04-.08,2.13-4.61,3.71-9.46,5.63-14.16,0-.02,.01-.04,.02-.06,.61,.14,1.23,.29,1.84,.43Z"/><path class="cls-2" d="M774.48,741.3c-3-1.14-6.44-1.27-9.61-2-.97-.17-1.55,.2-1.65,.95-.64,4.44-1.2,8.9-1.79,13.35l.12-.11c-3.42-1.05-7.05-1.22-10.57-1.86-.04-.53-.16-1.06-.11-1.59,.61-4.24,.57-8.62,1.8-12.74l-.1,.1c2.64,.38,5.27,.77,7.91,1.14,.86,.01,2.42,.58,2.83-.46,.75-4.02,M 1.1-8.09,1.61-12.13,.06-.75,1.07-.95,1.81-.8,3.12,.61,6.24,1.22,9.37,1.83-.42,4.78-1.56,9.55-1.62,14.33Z"/><path class="cls-2" d="M754.18,723.08c-.19,.62-.49,1.23-.56,1.86-.35,4.15-1.07,8.3-1.05,12.47l.1-.1c-3.85-.25-7.59-1.07-11.46-1.19,.54-4.78,.63-9.62,1.65-14.33,3.74,.74,7.56,1.12,11.39,1.37l-.07-.09Z"/><path class="cls-2" d="M766.2,710.79c.54,1.64,.02,3.38-.07,5.06-.34,2.64-.52,5.32-1.05,7.93-.31,.9-1.54,.79-2.32,.67-2.86-.47-5.82-.53-8.59-1.38l.07,.09c-.35-4.13,.73-8.37,.95-12.53,.03-.42,.4-.91,.83-.97,3.48-.M 05,6.89,.82,10.33,1.23l-.16-.11Z"/><path class="cls-2" d="M694.41,659.09c-1.12,4.68-1.49,9.62-2.94,14.18-3.35,.3-6.35-.82-9.62-1.16-.86-.04-1.1,.75-1.21,1.41-.61,4.24-1.62,8.49-1.68,12.79l.12-.08c-3.85-.45-7.64-1.29-11.46-1.93l.08,.09c1.08-4.16,1.61-8.45,2.38-12.68,.3-1.77,.69-1.96,2.88-1.53,1.66,.06,7.56,2.47,8.13,.57,.9-4.54,1.86-9.07,2.81-13.6l-.13,.08c3.55,.61,7.05,1.5,10.64,1.86Z"/><path class="cls-2" d="M678.95,686.32c3.3,.4,6.59,1.31,9.92,1.32,.22-.02,.56-.22,.6-.38,.29-1.27,.57-2.54,.77-3.82,.39-2.56,.71-5.M 13,1.08-7.7,.18-.92,.47-1.99,1.66-1.82,3.2,.34,6.41,.61,9.49,1.42l-.08-.09c.17,4.81-1.95,9.54-1.46,14.32-3.12-.7-6.35-.85-9.52-1.34-.68-.08-1.72-.06-1.85,.78-.56,3.73-.98,7.48-1.51,11.21-.12,.58-.16,1.53-.9,1.62-3.61-.13-7.16-.77-10.72-1.28,.61-.62,.67-1.36,.76-2.1,.75-4.05,.44-8.35,1.88-12.22l-.12,.08Z"/><path class="cls-2" d="M702.39,675.26s.06,0,.09,.01c0,.02-.01,.05-.01,.07l-.08-.08Z"/><path class="cls-2" d="M704.62,663.98c-.51,3.77-1.03,7.55-1.57,11.33-.19-.02-.38-.03-.57-.04,.72-3.76,1.52-7.51,2.14-11.29Z"/><M path class="cls-2" d="M705.01,661.05c-.08,.64-.17,1.28-.26,1.91,.04-.64,.05-1.28,.07-1.92,.06,0,.13,0,.19,.01Z"/><path class="cls-2" d="M743.33,714.53c-.11,2.42-.72,4.86-.4,7.27,.01,.02,.01,.05,.01,.07-.03,0-.06,0-.09-.01-1.56-.13-3.13-.27-4.69-.38,.68-4.62,1.37-9.25,2.07-13.89,1.12,.1,2.26,.15,3.4,.08,.39,2.29-.11,4.58-.3,6.86Z"/><path class="cls-2" d="M743.73,707.66s-.07,0-.1,.01c-.01-.06-.02-.11-.03-.17l.13,.16Z"/><path class="cls-2" d="M745.23,694.08s.04-.06,.05-.09c.02,.01,.05,.01,.07,.01l-.12,.08Z"/><path claM ss="cls-2" d="M747.8,680.43c-1.47,4.39-.94,9.25-2.52,13.56-1-.1-2-.19-3-.28,.67-4.55,1.33-9.11,1.97-13.69,1.19,.13,2.36,.27,3.55,.41Z"/><path class="cls-2" d="M694.88,731.43c-.65,4.58-1.27,9.17-1.88,13.77-3.39-.26-6.75-.66-10.04-1.36,1.16-4.4,1.62-9.1,1.63-13.65,3.42,.39,6.84,1.04,10.29,1.24Z"/><path class="cls-2" d="M699.27,703.72s-.01,.03-.02,.05c-.03,0-.06,.01-.09,.01,0-.03,0-.05,0-.08,.04,.01,.08,.01,.12,.02Z"/><path class="cls-2" d="M701,689.49c-.55,3.73-1.11,7.47-1.66,11.22,.5-3.74,.48-7.58,1.44-11.24,.04,.01M ,.09,.01,.13,.01,.03,.01,.06,.01,.09,.01Z"/><path class="cls-2" d="M666.01,698.53c3.48,.83,7.03,1.43,10.6,1.94-.14,4.8-.63,9.61-1.63,14.31-3.42-.78-7.08-1.09-10.39-2.21-.36-2.3-.27-3.17,1.42-14.04Z"/><path class="cls-2" d="M690.37,772.89s-.01,.05-.01,.08c-.04-.01-.08-.03-.12-.04,0-.02,.01-.03,.01-.05,.04,0,.08,0,.12,0Z"/><path class="cls-2" d="M691.27,759.08c-.55,4.55-1.07,9.12-1.54,13.7-3.55-.73-7.2-1.15-10.8-1.78,.36-4.58,1.51-9.1,2.43-13.6,.01-.02,.02-.04,.02-.06,3.05,1.23,6.65,1.06,9.89,1.74Z"/><path class="clsM -2" d="M770.43,683.66c-.4,4.44-1.97,9.28-1.61,13.66-3.55-.52-7.08-1.16-10.66-1.45-.68-.06-1.25,.35-1.33,.95-.51,3.82-.83,7.67-1.51,11.47-.08,.42-.63,.75-1.15,.73-3.53-.33-7.22-.35-10.58-1.51l.14,.16c1.02-4.47,1.4-9.09,1.62-13.66l-.13,.08c3.59,.41,7.17,1.04,10.78,1.24,.36,0,.79-.15,.92-.51,1.02-4.27,1.32-8.77,2.08-13.11,3.52,1.13,7.72,1.55,11.42,1.96Z"/><path class="cls-2" d="M737.05,767.66c-.73,3.7-.98,7.54-2.23,11.11-1.32-.26-2.64-.52-3.97-.72,.46-4.76,1-9.52,1.58-14.3,1.59,.19,3.17,.44,4.73,.78,.38,1.05,.06,2.1-.M 11,3.13Z"/><path class="cls-2" d="M737.24,764.55s-.05-.01-.08-.02c0-.02,0-.04-.02-.06l.1,.08Z"/><path class="cls-2" d="M739.6,750.34c3.88,.05,7.61,1.02,11.47,1.19-.23,.5-.59,.98-.66,1.5-.63,4.27-1.21,8.54-1.81,12.81-3.81-.47-7.62-1-11.45-1.36l.11,.08c1.5-4.51,1.52-9.61,2.46-14.31l-.11,.1Z"/><path class="cls-2" d="M739.6,750.34s.01-.07,.01-.11c.03,0,.07,.01,.1,.01l-.11,.1Z"/><path class="cls-2" d="M741.33,736.02c-.57,4.73-1.16,9.48-1.72,14.21-1.81-.2-3.61-.41-5.42-.62,.63-4.71,1.28-9.42,1.95-14.15,1.73,.18,3.46,.38, 5.19,.56Z"/></g></svg>h! text/plain;charset=utf-8 *{"p":"sns","op":"reg","name":"remax.sats"}h! (((((((((((((((((((((((((((((((((((((((((((((((((( text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 "name": "xxbb.sats" text/plain;charset=utf-8 "name": "uuaa.sats" JSON{"accessors":[{"bufferView":1,"componentType":5126,"count":204,"max":[15.936759948730469,-0.800000011920929,9.800005912780762],"min":[-15.93676471710205,-46.40938949584961,-9.79999828338623],"type":"VEC3"},{"bufferView":1,"byteOffset":2448,"componentType":5126,"count":204,"max":[0.8827050924301147,1.0,1.0],"min":[-0.8827050924301147,-0.4972337484359741,-1.0],"type":"VEC3"},{"bufferView":0,"componentType":5125,"count":270,"type":"SCALAR"}],"asset":{"extras":{"author":"Evil_Katz (https://sketchfabM .com/Evil_Katz)","license":"CC-BY-4.0 (http://creativecommons.org/licenses/by/4.0/)","source":"https://sketchfab.com/3d-models/birth-gemstone-8f1dcfbb11774bdabc6a35301edfeb34","title":"Birth Gemstone"},"generator":"Sketchfab-12.66.0","version":"2.0"},"bufferViews":[{"buffer":0,"byteLength":1080,"name":"floatBufferViews","target":34963},{"buffer":0,"byteLength":4896,"byteOffset":1080,"byteStride":12,"name":"floatBufferViews","target":34962}],"buffers":[{"byteLength":5976}],"materials":[{"alphaMode":"BLEND","doubleSiM ded":true,"name":"wire_196088225","pbrMetallicRoughness":{"baseColorFactor":[0.33108273651581677,0.33108273651581677,0.33108273651581677,0.65],"metallicFactor":0.0,"roughnessFactor":0.00779022}}],"meshes":[{"name":"Object_0","primitives":[{"attributes":{"NORMAL":1,"POSITION":0},"indices":2,"material":0,"mode":4}]}],"nodes":[{"children":[1],"matrix":[1.0,0.0,0.0,0.0,0.0,2.220446049250313e-16,-1.0,0.0,0.0,1.0,2.220446049250313e-16,0.0,0.0,0.0,0.0,1.0],"name":"Sketchfab_model"},{"children":[2],"name":"root"},{"childreM n":[3],"matrix":[1.0,0.0,0.0,0.0,0.0,2.220446049250313e-16,1.0,0.0,0.0,-1.0,2.220446049250313e-16,0.0,0.0,0.0,0.0,1.0],"name":"GLTF_SceneRootNode"},{"children":[4],"matrix":[1.0,0.0,-0.0,0.0,-0.0,0.0,-1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0],"name":"RootNode (gltf orientation matrix)_0"},{"children":[5],"matrix":[1.0,0.0,0.0,0.0,0.0,0.0,-1.0,0.0,0.0,1.0,0.0,0.0,0.0,-23.60469627380371,-23.604692459106445,1.0],"name":"RootNode (model correction matrix)_1"},{"children":[6],"name":"e78e3b53d2d748659fbf1c79e7d1e39f.obj.M cleaner_2"},{"children":[7],"name":"_3"},{"mesh":0,"name":"Object_7"}],"scene":0,"scenes":[{"name":"Sketchfab_Scene","nodes":[0]}]} X text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 The Word Became Flesh 1 In the beginning was the Word, and the Word was with God, and the Word was God. 2 He was in the beginning with God. 3 All things were made through him, and without him was not any thing made that was made. 4 In him was life, and the life was the light of men. 5 The light shines in the darkness, and the darkness has not overcome it. 6 There was a man sent from God, whose name was John. 7 He came as a witness, to bear witness about the light, that all might believe thM rough him. 8 He was not the light, but came to bear witness about the light. 9 The true light, which gives light to everyone, was coming into the world. 10 He was in the world, and the world was made through him, yet the world did not know him. 11 He came to phis own, and his own people did not receive him. 12 But to all who did receive him, who believed in his name, the gave the right to become children of God, 13 who were born, not of blood nor of the will of the flesh nor of the will of man, but of God. the Word became flesh and dwelt among us, and we have seen his glory, glory as of the only Son from the Father, full of grace and truth. 15 (John bore witness about him, and cried out, This was he of whom I said, He who comes after me ranks before me, because he was before me. ) 16 For from his fullness we have all received, grace upon grace. 17 For the law was given through Moses; grace and truth came through Jesus Christ. 18 No one has ever seen God; the only God, who is at the Father The Testimony of John the Baptist 19 And this is the testimony of John, when the Jews sent priests and Levites from Jerusalem to ask him, 20 He confessed, and did not deny, but confessed, I am not the Christ. 21 And they asked him, What then? Are you Elijah? Are you the Prophet? 22 So they said to him, Who are you? We need to give an answer to those who sent us. What do you say about yourself? I am the voice of one crying out in the wilderness, Make straight8 the way of the Lord, as the prophet Isaiah said. 24 (Now they had been sent from the Pharisees.) 25 They asked him, Then why are you baptizing, if you are neither the Christ, nor Elijah, nor the Prophet? 26 John answered them, I baptize with water, but among you stands one you do not know, 27 even he who comes after me, the strap of whose sandal I am not worthy to untie. 28 These things took place in Bethany across the JoM rdan, where John was baptizing. Behold, the Lamb of God 29 The next day he saw Jesus coming toward him, and said, Behold, the Lamb of God, who takes away the sin of the world! 30 This is he of whom I said, After me comes a man who ranks before me, because he was before me. 31 I myself did not know him, but for this purpose I came baptizing with water, that he might be revealed to Israel. 32 And John bore witness: I saw the Spirit descend from heaven like a dove, and it remained on him. 33 I myself M did not know him, but he who sent me to baptize with water said to me, He on whom you see the Spirit descend and remain, this is he who baptizes with the Holy Spirit. 34 And I have seen and have borne witness that this is the Son of God. Jesus Calls the First Disciples 35 The next day again John was standing with two of his disciples, 36 and he looked at Jesus as he walked by and said, Behold, the Lamb of God! 37 The two disciples heard him say this, and they followed Jesus. 38 Jesus turned and sawM them following and said to them, What are you seeking? And they said to him, (which means Teacher), where are you staying? 39 He said to them, Come and you will see. So they came and saw where he was staying, and they stayed with him that day, for it was about the tenth hour. 40 One of the two who heard John speak and followed Jesus was Andrew, Simon Peter s brother. 41 He first found his own brother Simon and said to him, We have found the Messiah (which means Christ). 42 He M brought him to Jesus. Jesus looked at him and said, You are Simon the son of John. You shall be called Cephas (which means Peter12). Jesus Calls Philip and Nathanael 43 The next day Jesus decided to go to Galilee. He found Philip and said to him, 44 Now Philip was from Bethsaida, the city of Andrew and Peter. 45 Philip found Nathanael and said to him, We have found him of whom Moses in the Law and also the prophets wrote, Jesus of Nazareth, the son of Joseph. 46 Nathanael said to him,M Can anything good come out of Nazareth? Philip said to him, 47 Jesus saw Nathanael coming toward him and said of him, Behold, an Israelite indeed, in whom there is no deceit! 48 Nathanael said to him, How ado you know me? Jesus answered him, Before Philip called you, when you were under the fig tree, I saw you. 49 Nathanael answered him, b Rabbi, you are the Son of God! You are the dKing of Israel! 50 Jesus answered him, Because I said to you, do you believe? You will see greater things than these. 51 And he said to him, Truly, truly, I say to you, you will see heaven opened, and the angels of God ascending and descending on the Son of Man. 2 On the third day there was a wedding at Cana in Galilee, and the mother of Jesus was there. 2 Jesus also was invited to the wedding with his disciples. 3 When the wine ran out, the mother of Jesus said to him, 4 And Jesus said to her, what does this have to do with me? My hour has not yet come. 5 His mother said to the servants, Do whatever he tells you. 6 Now there were six stone water jars there for the Jewish rites of purification, each holding twenty or thirty gallons. 7 Jesus said to the servants, Fill the jars with water. And they filled them up to the brim. 8 And he said to them, Now draw some out and take it to the master of the feast. So they took it. 9 When the master of the feast tasted the water now become wineM , and did not know where it came from (though the servants who had drawn the water knew), the master of the feast called the bridegroom 10 and said to him, Everyone serves the good wine first, and when people have drunk freely, then the poor wine. But you have kept the good wine until now. 11 This, the first of his signs, Jesus did at Cana in Galilee, and manifested his glory. And his disciples believed in him. 12 After this he went down to Capernaum, with his mother and his brothers and his disciples, and tM hey stayed there for a few days. Jesus Cleanses the Temple 13 The Passover of the Jews was at hand, and Jesus went up to Jerusalem. 14 In the temple he found those who were selling oxen and sheep and pigeons, and the money-changers sitting there. 15 And making a whip of cords, he drove them all out of the temple, with the sheep and oxen. And he poured out the coins of the money-changers and overturned their tables. 16 And he told those who sold the pigeons, Take these things away; do not make my Father se a house of trade. 17 His disciples remembered that it was written, Zeal for your house will consume me. 18 So the Jews said to him, What sign do you show us for doing these things? 19 Jesus answered them, Destroy this temple, and in three days aI will raise it up. 20 The Jews then said, It has taken forty-six years to build this temple, and will you raise it up in three days? 21 But he was speaking about the temple of his body. 22 When therefore he was raised from the dead, chis disciM ples remembered that he had said this, and they believed the Scripture and the word that Jesus had spoken. Jesus Knows What Is in Man 23 Now when he was in Jerusalem at the Passover Feast, many believed in his name when they saw the signs that he was doing. 24 But Jesus on his part did not entrust himself to them, because he knew all people 25 and needed no one to bear witness about man, for he himself knew what was in man. You Must Be Born Again 3 Now there was a man of the Pharisees named hNicodemus, a ruler M of the Jews. 2 This man came to Jesus by night and said to him, Rabbi, we know that you are a teacher come from God, for no one can do these signs that you do unless God is with him. 3 Jesus answered him, Truly, truly, I say to you, unless one is born again he cannot see the kingdom of God. 4 Nicodemus said to him, How can a man be born when he is old? Can he enter a second time into his mother Truly, truly, I say to you, unless one is born of water and tM he Spirit, he cannot enter the kingdom of God. 6 rThat which is born of the flesh is flesh, and that which is born of the Spirit is spirit.3 7 tDo not marvel that I said to you, You4 must be born again. 8 The wind5 blows where it wishes, and you hear its sound, but you do not know where it comes from or where it goes. So it is with everyone who is born of the Spirit. 9 Nicodemus said to him, How can these things be? 10 Jesus answered him, Are you the teacher of Israel and yet you do not understanM d these things? 11 Truly, truly, I say to you, we speak of what we know, and bear witness to what we have seen, but you do not receive our testimony. 12 If I have told you earthly things and you do not believe, how can you believe if I tell you heavenly things? 13 No one has ascended into heaven except he who descended from heaven, the Son of Man.7 14 And as Moses lifted up the serpent in the wilderness, so must the Son of Man be lifted up, 15 that whoever believes fin him may have eternal life. For God so loved the world, that he gave his only Son, that whoever believes in him should not perish but have eternal life. 17 For God did not send his Son into the world to condemn the world, but in order that the world might be saved through him. 18 Whoever believes in him is not condemned, but whoever does not believe is condemned already, because he has not believed in the name of the only Son of God. 19 And this is the judgment: the light has come into the world, and people loved the darkness M rather than the light because their works were evil. 20 For everyone who does wicked things hates the light and does not come to the light, lest his works should be exposed. 21 But whoever does what is true comes to the light, so that it may be clearly seen that his works have been carried out in God. John the Baptist Exalts Christ 22 After this Jesus and his disciples went into the Judean countryside, and he remained there with them and was baptizing. 23 John also was baptizing at Aenon near Salim, because waM ter was plentiful there, and people were coming and being baptized 24 (for John had not yet been put in prison). 25 Now a discussion arose between some of John s disciples and a Jew over purification. 26 And they came to John and said to him, Rabbi, he who was with you across the Jordan, to whom you bore witness look, he is baptizing, and call are going to him. A person cannot receive even one thing unless it is given him from heaven. 28 You yourselves bear me witness, that I said, I am not the Christ, but I have been sent before him. 29 The one who has the bride is the bridegroom. The friend of the bridegroom, who stands and hears him, rejoices greatly at the bridegroom s voice. Therefore this joy of mine is now complete. 30 He must increase, but I must decrease. 31 He who comes from above is above all. He who is of the earth belongs to the earth and speaks in an earthly way. He who comes from heaven is above all. 32 He bears witness to what he has seen and heard, yet no one receiM ves his testimony. 33 Whoever receives his testimony sets his seal to this, that God is true. 34 For he whom God has sent utters the words of God, for he gives the Spirit without measure. 35 The Father loves the Son and has given all things into his hand. 36 Whoever believes in the Son has eternal life; whoever does not obey the Son shall not see life, but the wrath of God remains on him. Jesus and the Woman of Samaria 4 Now when Jesus learned that the Pharisees had heard that Jesus was making and baptizing more M disciples than John 2 (although Jesus himself did not baptize, but only his disciples), 3 he left Judea and departed again for Galilee. 4 And he had to pass through Samaria. 5 So he came to a town of Samaria called Sychar, near the field that Jacob had given to his son Joseph. 6 Jacob s well was there; so Jesus, wearied as he was from his journey, was sitting beside the well. It was about the sixth hour. 7 A woman from Samaria came to draw water. Jesus said to her, 8 (For his disciples hadM gone away into the city to buy food.) 9 The Samaritan woman said to him, How is it that you, a Jew, ask for a drink from me, a woman of Samaria? (For Jews have no dealings with Samaritans.) 10 Jesus answered her, If you knew the gift of God, and who it is that is saying to you, you would have asked him, and he would have given you living water. 11 The woman said to him, Sir, you have nothing to draw water with, and the well is deep. Where do you get that living water? 12 Are yM ou greater than our father Jacob? He gave us the well and drank from it himself, as did his sons and his livestock. 13 Jesus said to her, Everyone who drinks of this water will be thirsty again, 14 but whoever drinks of the water that I will give him will never be thirsty again. The water that I will give him will become in him a spring of water welling up to eternal life. 15 The woman said to him, Sir, give me this water, so that I will not be thirsty or have to come here to draw water. Go, call your husband, and come here. 17 The woman answered him, Jesus said to her, You are right in saying, ; 18 for you have had five husbands, and the one you now have is not your husband. What you have said is true. 19 The woman said to him, Sir, I perceive that you are a prophet. 20 Our fathers worshiped on this mountain, but you say that tin Jerusalem is the place where people ought to worship. 21 Jesus said to her, me, the hour is coming when neither on this mountain nor in Jerusalem will you worship the Father. 22 You worship what you do not know; we worship what we know, for salvation is from the Jews. 23 But the hour is coming, and is now here, when the true worshipers will worship the Father in spirit and truth, for the Father is seeking such people to worship him. 24 God is spirit, and those who worship him must worship in spirit and truth. 25 The woman said to him, I know that fMessiah is coming (he who is calledM Christ). When he comes, he will tell us all things. 26 Jesus said to her, I who speak to you am he. 27 Just then his disciples came back. They marveled that he was talking with a woman, but no one said, Why are you talking with her? 28 So the woman left her water jar and went away into town and said to the people, 29 Come, see a man who told me all that I ever did. Can this be the Christ? 30 They went out of the town and were coming to him. 31 Meanwhile the discipM les were urging him, saying, 32 But he said to them, I have food to eat that you do not know about. 33 So the disciples said to one another, Has anyone brought him something to eat? 34 Jesus said to them, My food is to do the will of him who sent me and to accomplish his work. 35 Do you not say, There are yet four months, then comes the harvest ? Look, I tell you, lift up your eyes, and see that the fields are white for harvest. 36 Already the one who reaps is receiving wages aM nd gathering fruit for eternal life, so that sower and reaper may rejoice together. 37 For here the saying holds true, t One sows and another reaps. 38 I sent you to reap that for which you did not labor. Others have labored, and you have entered into their labor. 39 Many Samaritans from that town believed in him because of the woman He told me all that I ever did. 40 So when the Samaritans came to him, they asked him to stay with them, and he stayed there two days. 41 And many more beM lieved because of his word. 42 They said to the woman, It is no longer because of what you said that we believe, for we have heard for ourselves, and we know that this is indeed the Savior of the world. 43 After the two days he departed for Galilee. 44 (For Jesus himself had testified that a prophet has no honor in his own hometown.) 45 So when he came to Galilee, the Galileans welcomed him, having seen all that he had done in Jerusalem at the feast. For they too had gone to the feast. Jesus Heals an OfficiM 46 So he came again to Cana in Galilee, where he had made the water wine. And at Capernaum there was an official whose son was ill. 47 When this man heard that Jesus had come from Judea to Galilee, he went to him and asked him to come down and heal his son, for he was at the point of death. 48 So Jesus said to him, Unless you see signs and wonders you will not believe. 49 The official said to him, Sir, come down before my child dies. 50 Jesus said to him, Go; your son will live. n believed the word that Jesus spoke to him and went on his way. 51 As he was going down, his servants met him and told him that his son was recovering. 52 So he asked them the hour when he began to get better, and they said to him, Yesterday at the seventh hour5 the fever left him. 53 The father knew that was the hour when Jesus had said to him, And he himself believed, and all his household. 54 This was now the second sign that Jesus did when he had come from Judea to Galilee. Healing at the Pool on the Sabbath 5 After this there was a feast of the Jews, and Jesus went up to Jerusalem. 2 Now there is in Jerusalem by the Sheep Gate a pool, in Aramaic called Bethesda, which has five roofed colonnades. 3 In these lay a multitude of invalids blind, lame, and paralyzed. 5 One man was there who had been an invalid for thirty-eight years. 6 When Jesus saw him lying there and knew that he had already been there a long time, he said to him, Do you want to be healed? 7 The sick man answM Sir, I have no one to put me into the pool when the water is stirred up, and while I am going another steps down before me. 8 Jesus said to him, Get up, take up your bed, and walk. 9 And at once the man was healed, and he took up his bed and walked. Now that day was the Sabbath. 10 So the Jews said to the man who had been healed, It is the Sabbath, and tit is not lawful for you to take up your bed. 11 But he answered them, The man who healed me, that man said to me, 12 They asked him, Who is the man who said to you, Take up your bed and walk 13 Now the man who had been healed did not know who it was, for Jesus had withdrawn, as there was a crowd in the place. 14 Afterward Jesus found him in the temple and said to him, See, you are well! Sin no more, that nothing worse may happen to you. 15 The man went away and told the Jews that it was Jesus who had healed him. 16 And this was why the Jews were persecuting Jesus, because he was doing theM se things on the Sabbath. 17 But Jesus answered them, My Father is working until now, and I am working. Jesus Is Equal with God 18 This was why the Jews were seeking all the more to kill him, because not only was he breaking the Sabbath, but he was even calling God his own Father, making himself equal with God. The Authority of the Son 19 So Jesus said to them, Truly, truly, I say to you, the Son can do nothing of his own accord, but only what he sees the Father doing. For whatever the Father does, thaM t the Son does likewise. 20 For the Father loves the Son and shows him all that he himself is doing. And greater works than these will he show him, so that you may marvel. 21 For as the Father raises the dead and gives them life, so also the Son gives life to whom he will. 22 For the Father judges no one, but has given all judgment to the Son, 23 that all may honor the Son, just as they honor the Father. Whoever does not honor the Son does not honor the Father who sent him. 24 Truly, truly, I say to you, whoever heM ars my word and believes him who sent me has eternal life. He does not come into judgment, but has passed from death to life. Truly, truly, I say to you, an hour is coming, and is now here, when the dead will hear the voice of the Son of God, and those who hear will live. 26 For as the Father has life in himself, so he has granted the Son also to have life in himself. 27 And he has given him authority to execute judgment, because he is the Son of Man. 28 Do not marvel at this, for an hour is coming when all M who are in the tombs will hear his voice 29 and come out, those who have done good to the resurrection of life, and those who have done evil to the resurrection of judgment. I can do nothing on my own. As I hear, I judge, and my judgment is just, because I seek not my own will but the will of him who sent me. 31 If I alone bear witness about myself, my testimony is not true. 32 There is another who bears witness about me, and I know that the testimony that he bears about me is true. 33 YoM u sent to John, and he has borne witness to the truth. 34 Not that the testimony that I receive is from man, but I say these things so that you may be saved. 35 He was a burning and shining lamp, and you were willing to rejoice for a while in his light. 36 But the testimony that I have is greater than that of John. For the works that the Father has given me to accomplish, the very works that I am doing, bear witness about me that the Father has sent me. 37 And the Father who sent me has himself borne witness about M me. His voice you have never heard, this form you have never seen, 38 and you do not have his word abiding in you, for you do not believe the one whom he has sent. 39 vYou search the Scriptures because you think that in them you have eternal life; and it is they that bear witness about me, 40 yet you refuse to come to me that you may have life. 41 I do not receive glory from people. 42 But I know that you do not have the love of God within you. 43 I have come in my Father s name, and you do not receive me. dIf anM other comes in his own name, you will receive him. 44 How can you believe, when you receive glory from one another and do not seek the glory that comes from the only God? 45 Do not think that I will accuse you to the Father. There is one who accuses you: Moses, on whom you have set your hope. 46 For if you believed Moses, you would believe me; for he wrote of me. 47 But if you do not believe his writings, how will you believe my words? Jesus Feeds the Five Thousand 6 After this Jesus went away to the other sidM e of the Sea of Galilee, which is the Sea of Tiberias. 2 And a large crowd was following him, because they saw the signs that he was doing on the sick. 3 Jesus went up on the mountain, and there he sat down with his disciples. 4 Now the Passover, the feast of the Jews, was at hand. 5 Lifting up his eyes, then, and seeing that a large crowd was coming toward him, Jesus said to Philip, Where are we to buy bread, so that these people may eat? 6 He said this to test him, for he himself knew what he would do. 7 PhM Two hundred denarii worth of bread would not be enough for each of them to get a little. 8 One of his disciples, Andrew, Simon Peter s brother, said to him, 9 There is a boy here who has five barley loaves and two fish, but what are they for so many? Have the people sit down. Now there was much grass in the place. So the men sat down, about five thousand in number. 11 Jesus then took the loaves, and when he had given thanks, he distributed them to those who wereM seated. So also the fish, as much as they wanted. 12 And when they had eaten their fill, he told his disciples, Gather up the leftover fragments, that nothing may be lost. 13 So they gathered them up and filled twelve baskets with fragments from the five barley loaves left by those who had eaten. 14 When the people saw the sign that he had done, they said, This is indeed the Prophet who is to come into the world! 15 Perceiving then that they were about to come and take him by force to make him king, JM esus withdrew again to the mountain by himself. Jesus Walks on Water 16 When evening came, his disciples went down to the sea, 17 got into a boat, and started across the sea to Capernaum. It was now dark, and Jesus had not yet come to them. 18 The sea became rough because a strong wind was blowing. 19 When they had rowed about three or four miles, they saw Jesus walking on the sea and coming near the boat, and they were frightened. 20 But he said to them, It is I; do not be afraid. 21 Then they were glad toM take him into the boat, and immediately the boat was at the land to which they were going. I Am the Bread of Life 22 On the next day the crowd that remained on the other side of the sea saw that there had been only one boat there, and that Jesus had not entered the boat with his disciples, but that his disciples had gone away alone. 23 Other boats from Tiberias came near the place where they had eaten the bread after the Lord had given thanks. 24 So when the crowd saw that Jesus was not there, nor his disciples,M they themselves got into the boats and gwent to Capernaum, seeking Jesus. 25 When they found him on the other side of the sea, they said to him, Rabbi, when did you come here? 26 Jesus answered them, Truly, truly, I say to you, you are seeking me, not because you saw signs, but because you ate your fill of the loaves. 27 Do not work for the food that perishes, but for the food that endures to eternal life, which the Son of Man will give to you. For on him God the Father has set his seal. What must we do, to be doing the works of God? 29 Jesus answered them, This is the work of God, that you believe in him whom he has sent. 30 So they said to him, Then what sign do you do, that we may see and believe you? What work do you perform? 31 Our fathers ate the manna in the wilderness; as it is written, He gave them bread from heaven to eat. 32 Jesus then said to them, Truly, truly, I say to you, it was not Moses who gave you the bread from heaven, but my Father givesM you the true bread from heaven. 33 For the bread of God is he who comes down from heaven and gives life to the world. 34 They said to him, Sir, give us this bread always. 35 Jesus said to them, I am the bread of life; whoever comes to me shall not hunger, and whoever believes in me shall never thirst. 36 But I said to you that you have seen me and yet do not believe. 37 All that the Father gives me will come to me, and whoever comes to me I will never cast out. 38 For I have come down from heaven, not toM do my own will but the will of him who sent me. 39 And his is the will of him who sent me, that I should lose nothing of hall that he has given me, but raise it up on the last day. 40 For this is the will of my Father, that everyone who looks on the Son and believes in him should have eternal life, and I will raise him up on the last day. 41 So the Jews grumbled about him, because he said, I am the bread that came down from heaven. Is not this Jesus, the son of Joseph, whose father and mM other we know? How does he now say, I have come down from heaven 43 Jesus answered them, Do not grumble among yourselves. 44 No one can come to me unless the Father who sent me draws him. And I will raise him up on the last day. 45 It is written in the Prophets, And they will all be taught by God. Everyone who has heard and learned from the Father comes to me 46 not that anyone has seen the Father except he who is from God; he has seen the Father. 47 Truly, truly, I say to you, whoever believeM s has eternal life. 48 I am the bread of life. 49 Your fathers ate the manna in the wilderness, and they died. 50 This is the bread that comes down from heaven, so that one may eat of it and not die. 51 I am the living bread that came down from heaven. If anyone eats of this bread, he will live forever. And the bread that I will give for the life of the world is my flesh. 52 The Jews then disputed among themselves, saying, How can this man give us his flesh to eat? 53 So Jesus said to them, y, I say to you, unless you eat the flesh of the Son of Man and drink his blood, you have no life in you. 54 Whoever feeds on my flesh and drinks my blood has eternal life, and I will raise him up on the last day. 55 For my flesh is true food, and my blood is true drink. 56 Whoever feeds on my flesh and drinks my blood abides in me, and I in him. 57 As the living Father sent me, and I live because of the Father, so whoever feeds on me, he also will live because of me. 58 This is the bread that came down from heavenM , not like the bread the fathers ate, and died. Whoever feeds on this bread will live forever. 59 Jesus said these things in the synagogue, as he taught at Capernaum. The Words of Eternal Life 60 When many of his disciples heard it, they said, This is a hard saying; who can listen to it? 61 But Jesus, knowing in himself that his disciples were grumbling about this, said to them, Do you take offense at this? 62 Then what if you were to see the Son of Man ascending to where he was before? 63 It is the SM pirit who gives life; the flesh is no help at all. The words that I have spoken to you are spirit and life. 64 But there are some of you who do not believe. (For Jesus knew from the beginning who those were who did not believe, and who it was who would betray him.) 65 And he said, This is why I told you that no one can come to me unless it is granted him by the Father. 66 After this many of his disciples turned back and no longer walked with him. 67 So Jesus said to the twelve, Do you want to go away aM 68 Simon Peter answered him, Lord, to whom shall we go? You have the words of eternal life, 69 and we have believed, and have come to know, that you are the Holy One of God. 70 Jesus answered them, Did I not choose you, the twelve? And yet one of you is ma devil. 71 He spoke of Judas the son of Simon Iscariot, for he, one of the twelve, was going to betray him. Jesus at the Feast of Booths 7 After this Jesus went about in Galilee. He would not go about in Judea, because the Jews were seekinM g to kill him. 2 Now the Jews Feast of rBooths was at hand. 3 sSo his brothers2 said to him, Leave here and go to Judea, that our disciples also may see the works you are doing. 4 For no one works in secret if he seeks to be known openly. If you do these things, show yourself to the world. 5 For not even his brothers believed in him. 6 Jesus said to them, My time has not yet come, but your time is always here. 7 The world cannot hate you, but it hates me because I testify about it that its works are eviM l. 8 You go up to the feast. I am not going up to this feast, for my time has not yet fully come. 9 After saying this, he remained in Galilee. 10 But after ahis brothers had gone up to the feast, then he also went up, not publicly but in private. 11 The Jews were looking for him at the feast, and saying, 12 And there was much muttering about him among the people. While some said, No, he is leading the people astray. 13 Yet for fear of the Jews no oneM spoke openly of him. 14 About the middle of the feast Jesus went up into the temple and began teaching. 15 The Jews therefore marveled, saying, How is it that this man has learning,4 when he has never studied? 16 So Jesus answered them, My teaching is not mine, but his who sent me. 17 If anyone s will, he will know whether the teaching is from God or whether I nam speaking on my own authority. 18 The one who speaks on his own authority seeks his own glory; but the one who seeks thM e glory of him who sent him is true, and in him there is no falsehood. 19 Has not Moses given you the law? Yet none of you keeps the law. Why do you seek to kill me? 20 The crowd answered, You have a demon! Who is seeking to kill you? 21 Jesus answered them, I did sone work, and you all marvel at it. 22 Moses gave you circumcision (not that it is from Moses, but from the fathers), and you circumcise a man on the Sabbath. 23 If on the Sabbath a man receives circumcision, so that the law of Moses may not M be broken, are you angry with me because on the Sabbath I made a man s whole body well? 24 Do not judge by appearances, but judge with right judgment. Can This Be the Christ? 25 Some of the people of Jerusalem therefore said, Is not this the man whom they seek to kill? 26 And here he is, speaking openly, and they say nothing to him! Can it be that the authorities really know that this is the Christ? 27 But we know where this man comes from, and when the Christ appears, no one will know where he comes fromM 28 So Jesus proclaimed, as he taught in the temple, You know me, and you know where I come from. But I have not come of my own accord. He who sent me is true, and him you do not know. 29 I know him, for I come from him, and he sent me. 30 So they were seeking to arrest him, but no one laid a hand on him, because his hour had not yet come. 31 Yet many of the people believed in him. They said, When the Christ appears, will he do more signs than this man has done? Officers Sent to Arrest Jesus e Pharisees heard the crowd muttering these things about him, and the chief priests and Pharisees sent officers to arrest him. 33 Jesus then said, I will be with you a little longer, and then I am going to him who sent me. 34 You will seek me and you will not find me. Where I am you cannot come. 35 The Jews said to one another, Where does this man intend to go that we will not find him? Does he intend to go to the Dispersion among the Greeks and teach the Greeks? 36 What does he mean by saying, seek me and you will not find me, Where I am you cannot come Rivers of Living Water 37 On the last day of the feast, the great day, Jesus stood up and cried out, If anyone thirsts, let him come to me and drink. 38 Whoever believes in me, as the Scripture has said, Out of his heart will flow rivers of living water. 39 Now this he said about the Spirit, whom those who believed in him were to receive, for as yet the Spirit had not been given, because Jesus was not yet glorified. ion Among the People 40 When they heard these words, some of the people said, This really is the Prophet. Is the Christ to come from Galilee? 42 Has not the Scripture said that the Christ comes from the offspring of David, and comes from Bethlehem, the village where David was? 43 So there was a division among the people over him. 44 Some of them wanted to arrest him, but no one laid hands on him. 45 sThe officers then came to the chief priests aM nd Pharisees, who said to them, Why did you not bring him? 46 The officers answered, t No one ever spoke like this man! 47 The Pharisees answered them, u Have you also been deceived? 48 vHave any of the authorities or the Pharisees believed in him? 49 But this crowd that does not know the law is accursed. 50 Nicodemus, who had gone to him before, and who was one of them, said to them, 51 Does our law judge a man without first giving him a hearing and learning what he does? Are you from Galilee too? Search and see that no prophet arises from Galilee. [THE EARLIEST MANUSCRIPTS DO NOT INCLUDE 7:53 The Woman Caught in Adultery 53 [[They went each to his own house, 8 but Jesus went to the Mount of Olives. 2 Early in the morning he came again to the temple. All the people came to him, and he sat down and taught them. 3 The scribes and the Pharisees brought a woman who had been caught in adultery, and placing her in the midst 4 they said to him, Teacher, this woman has beM en caught in the act of adultery. 5 Now in the Law, Moses commanded us to stone such women. So what do you say? 6 This they said to test him, that they might have some charge to bring against him. Jesus bent down and wrote with his finger on the ground. 7 And as they continued to ask him, he stood up and said to them, Let him who is without sin among you be the first to throw a stone at her. 8 And once more he bent down and wrote on the ground. 9 But when they heard it, they went away one by one, beginningM with the older ones, and Jesus was left alone with the woman standing before him. 10 Jesus stood up and said to her, Woman, where are they? Has no one condemned you? Neither do I condemn you; go, and from now on sin no more. I Am the Light of the World 12 Again Jesus spoke to them, saying, I am the light of the world. Whoever follows me will not walk in darkness, but will have the light of life. 13 So the Pharisees said to him, ng witness about yourself; your testimony is not true. 14 Jesus answered, Even if I do bear witness about myself, my testimony is true, for I know where I came from and where I am going, but you do not know where I come from or where I am going. 15 You judge according to the flesh; I judge no one. 16 Yet even if I do judge, my judgment is true, for it is not I alone who judge, but I and the Father who sent me. 17 In your Law it is written that the testimony of two people is true. 18 I am the one who bears witM ness about myself, and the Father who sent me bears witness about me. 19 They said to him therefore, Where is your Father? You know neither me nor my Father. If you knew me, you would know my Father also. 20 These words he spoke in the treasury, as he taught in the temple; but no one arrested him, because his hour had not yet come. 21 So he said to them again, I am going away, and you will seek me, and you will die in your sin. Where I am going, you cannot come. Will he kill himself, since he says, Where I am going, you cannot come 23 He said to them, j You are from below; I am from above. kYou are of this world; lI am not of this world. 24 I told you that you would die in your sins, for unless you believe that I am he you will die in your sins. 25 So they said to him, Jesus said to them, Just what I have been telling you from the beginning. 26 I have much to say about you and much to judge, but he who sent me is true, and I deM clare to the world what I have heard from him. 27 They did not understand that the had been speaking to them about the Father. 28 So Jesus said to them, When you have lifted up the Son of Man, then you will know that wI am he, and that I do nothing on my own authority, but speak just as the Father taught me. 29 And he who sent me is with me. He has not left me alone, for I always do the things that are pleasing to him. 30 As he was saying these things, many believed in him. The Truth Will Set You Free So Jesus said to the Jews who had believed him, If you abide in my word, you are truly my disciples, 32 and you will know the truth, and the truth will set you free. 33 They answered him, We are offspring of Abraham and have never been enslaved to anyone. How is it that you say, You will become free 34 Jesus answered them, Truly, truly, I say to you, everyone who practices sin is a slave to sin. 35 The slave does not remain in the house forever; the son remains forever. 36 So if the Son setsM you free, you will be free indeed. 37 I know that you are offspring of Abraham; yet you seek to kill me because my word finds no place in you. 38 I speak of what I have seen with my Father, and you do what you have heard from your father. You Are of Your Father the Devil 39 They answered him, Abraham is our father. Jesus said to them, s children, you would be doing the works Abraham did, 40 but now you seek to kill me, a man who has told you the truth that I heard from God. ThisM is not what Abraham did. 41 You are doing the works your father did. We were not born of sexual immorality. We have one Father 42 Jesus said to them, If God were your Father, you would love me, for I came from God and I am here. I came not of my own accord, but he sent me. 43 Why do you not understand what I say? It is because you cannot bear to hear my word. 44 You are of your father the devil, and your will is to do your father s desires. He was a murderer from the begM inning, and does not stand in the truth, because there is no truth in him. When he lies, he speaks out of his own character, for he is a liar and the father of lies. 45 But because I tell the truth, you do not believe me. 46 Which one of you convicts me of sin? If I tell the truth, why do you not believe me? 47 Whoever is of God hears the words of God. The reason why you do not hear them is that you are not of God. Before Abraham Was, I Am 48 The Jews answered him, Are we not right in saying that you are a M Samaritan and have a demon? 49 Jesus answered, I do not have a demon, but I honor my Father, and you dishonor me. 50 Yet iI do not seek my own glory; there is One who seeks it, and he is the judge. 51 Truly, truly, I say to you, if anyone keeps my word, he will never see death. 52 The Jews said to him, Now we know that you have a demon! Abraham died, as did the prophets, yet you say, If anyone keeps my word, he will never taste death. 53 Are you greater than our father Abraham, who died? And the pM rophets died! Who do you make yourself out to be? 54 Jesus answered, If I glorify myself, my glory is nothing. It is my Father who glorifies me, of whom you say, 55 But you have not known him. tI know him. If I were to say that I do not know him, I would be a liar like you, but I do know him and I keep his word. 56 Your father Abraham rejoiced that he would see my day. He saw it and was glad. 57 So the Jews said to him, You are not yet fifty years old, and have you seen Abraham? 58 Jesus said to them, Truly, truly, I say to you, before Abraham was, I am. 59 So they picked up stones to throw at him, but Jesus hid himself and went out of the temple. Jesus Heals a Man Born Blind 9 As he passed by, he saw a man blind from birth. 2 And his disciples asked him, Rabbi, who sinned, this man or his parents, that he was born blind? It was not that this man sinned, or his parents, but that the works of God might be displayed in him. 4 We must work the works of him wM ho sent me while it is day; night is coming, when no one can work. 5 As long as I am in the world, I am the light of the world. 6 Having said these things, he spit on the ground and made mud with the saliva. Then he anointed the man s eyes with the mud 7 and said to him, Go, wash in the pool of Siloam (which means Sent). So he went and washed and came back seeing. 8 The neighbors and those who had seen him before as a beggar were saying, Is this not the man who used to sit and beg? No, but he is like him. 10 So they said to him, Then how were your eyes opened? The man called Jesus made mud and anointed my eyes and said to me, Go to Siloam and wash. So I went and washed and received my sight. 12 They said to him, 13 They brought to the Pharisees the man who had formerly been blind. 14 Now it was a Sabbath day when Jesus made the mud and openedM his eyes. 15 So the Pharisees again asked him how he had received his sight. And he said to them, He put mud on my eyes, and I washed, and I see. 16 Some of the Pharisees said, This man is not from God, for he does not keep the Sabbath. How can a man who is a sinner do such signs? And there was a division among them. 17 So they said again to the blind man, What do you say about him, since he has opened your eyes? 18 The Jews1 did not believeM that he had been blind and had received his sight, until they called the parents of the man who had received his sight 19 and asked them, Is this your son, who you say was born blind? How then does he now see? 20 His parents answered, We know that this is our son and that he was born blind. 21 But how he now sees we do not know, nor do we know who opened his eyes. Ask him; he is of age. He will speak for himself. 22 (His parents said these things because they feared the Jews, for the Jews had already aM greed that if anyone should confess Jesus to be Christ, he was to be put out of the synagogue.) 23 Therefore his parents said, He is of age; ask him. 24 So for the second time they called the man who had been blind and said to him, Give glory to God. We know that this man is a sinner. Whether he is a sinner I do not know. One thing I do know, that though I was blind, now I see. 26 They said to him, What did he do to you? How did he open your eyes? 27 He answered them, ave told you already, and you would not listen. Why do you want to hear it again? Do you also want to become his disciples? 28 And they reviled him, saying, You are his disciple, but we are disciples of Moses. 29 We know that God has spoken to Moses, but as for this man, we do not know where he comes from. 30 The man answered, Why, this is an amazing thing! You do not know where he comes from, and yet he opened my eyes. 31 We know that God does not listen to sinners, but if anyone is a worshiper of God M and does his will, God listens to him. 32 Never since the world began has it been heard that anyone opened the eyes of a man born blind. 33 If this man were not from God, he could do nothing. 34 They answered him, You were born in utter sin, and would you teach us? And they cast him out. 35 Jesus heard that they had cast him out, and having found him he said, Do you believe in the Son of Man? And who is he, sir, that I may believe in him? 37 Jesus said to him, him, and sit is he who is speaking to you. and he worshiped him. 39 Jesus said, For judgment I came into this world, that those who do not see may see, and those who see may become blind. 40 Some of the Pharisees near him heard these things, and said to him, 41 Jesus said to them, If you were blind, you would have no guilt; but now that you say, your guilt remains. I Am the Good Shepherd Truly, truly, I say to you, he who M does not enter the sheepfold by the door but climbs in by another way, that man is a thief and a robber. 2 But he who enters by the door is the shepherd of the sheep. 3 To him the gatekeeper opens. The sheep hear his voice, and he calls his own sheep by name and leads them out. 4 When he has brought out all his own, he goes before them, and the sheep follow him, for they know his voice. 5 A stranger they will not follow, but they will flee from him, for they do not know the voice of strangers. 6 This figure of sM peech Jesus used with them, but they did not understand what he was saying to them. 7 So Jesus again said to them, Truly, truly, I say to you, I am the door of the sheep. 8 All who came before me are thieves and robbers, but the sheep did not listen to them. 9 I am the door. If anyone enters by me, he will be saved and will go in and out and find pasture. 10 The thief comes only to steal and kill and destroy. I came that they may have life and have it abundantly. 11 I am the good shepherd. The good shepherd layM s down his life for the sheep. 12 He who is a hired hand and not a shepherd, who does not own the sheep, sees the wolf coming and leaves the sheep and flees, and the wolf snatches them and scatters them. 13 He flees because he is a hired hand and cares nothing for the sheep. 14 I am the good shepherd. I know my own and my own know me, 15 just as the Father knows me and I know the Father; and I lay down my life for the sheep. 16 And I have other sheep that are not of this fold. I must bring them also, and they will M listen to my voice. So there will be one flock, one shepherd. 17 For this reason the Father loves me, because I lay down my life that I may take it up again. 18 No one takes it from me, but I lay it down of my own accord. I have authority to lay it down, and I have authority to take it up again. This charge I have received from my Father. 19 There was again a division among the Jews because of these words. 20 Many of them said, He has a demon, and is insane; why listen to him? not the words of one who is oppressed by a demon. Can a demon open the eyes of the blind? I and the Father Are One 22 At that time the Feast of Dedication took place at Jerusalem. It was winter, 23 and Jesus was walking in the temple, in the colonnade of Solomon. 24 So the Jews gathered around him and said to him, How long will you keep us in suspense? If you are the Christ, tell us plainly. 25 Jesus answered them, I told you, and you do not believe. The works that I do in my Father ness about me, 26 but you do not believe because you are not among my sheep. 27 My sheep hear my voice, and I know them, and they follow me. 28 I give them eternal life, and they will never perish, and no one will snatch them out of my hand. 29 My Father, who has given them to me, is greater than all, and no one is able to snatch them out of the Father s hand. 30 I and the Father are one. 31 The Jews picked up stones again to stone him. 32 Jesus answered them, I have shown you many good works from the FathM er; for which of them are you going to stone me? 33 The Jews answered him, It is not for a good work that we are going to stone you but for blasphemy, because you, being a man, make yourself God. 34 Jesus answered them, Is it not written in your Law, I said, you are gods ? 35 If he called them gods to whom the word of God came and Scripture cannot be broken 36 do you say of him whom the Father consecrated and sent into the world, You are blaspheming, ? 37 If I am not doing the works of my Father, then do not believe me; 38 but if I do them, even though you do not believe me, believe the works, that you may know and understand that the Father is in me and I am in the Father. 39 Again they sought to arrest him, but he escaped from their hands. 40 He went away again across the Jordan to the place where John had been baptizing at first, and there he remained. 41 And many came to him. And they said, John did no sign, but everything that John said about thM 42 And many believed in him there. The Death of Lazarus 11 Now a certain man was ill, Lazarus of Bethany, the village of Mary and her sister Martha. 2 It was Mary who anointed the Lord with ointment and wiped his feet with her hair, whose brother Lazarus was ill. 3 So the sisters sent to him, saying, Lord, he whom you love is ill. 4 But when Jesus heard it he said, This illness does not lead to death. It is for the glory of God, so that the Son of God may be glorified through it. 5 Now Jesus loved Martha and her sister and Lazarus. 6 So, when he heard that Lazarus was ill, he stayed two days longer in the place where he was. 7 Then after this he said to the disciples, Let us go to Judea again. 8 The disciples said to him, Rabbi, the Jews were just now seeking to stone you, and are you going there again? Are there not twelve hours in the day? If anyone walks in the day, he does not stumble, because he sees the light of this world. 10 But if anyone walks in thM e night, he stumbles, because the light is not in him. 11 After saying these things, he said to them, Our friend Lazarus has fallen asleep, but I go to awaken him. 12 The disciples said to him, Lord, if he has fallen asleep, he will recover. 13 Now Jesus had spoken of his death, but they thought that he meant taking rest in sleep. 14 Then Jesus told them plainly, Lazarus has died, 15 and for your sake I am glad that I was not there, so that you may believe. But let us go to him. alled the Twin, said to his fellow disciples, Let us also go, that we may die with him. I Am the Resurrection and the Life 17 Now when Jesus came, he found that Lazarus had already been in the tomb four days. 18 Bethany was near Jerusalem, about two miles off, 19 and many of the Jews had come to Martha and Mary to console them concerning their brother. 20 So when Martha heard that Jesus was coming, she went and met him, but Mary remained seated in the house. 21 Martha said to Jesus, Lord, if you had beenM here, my brother would not have died. 22 But even now I know that whatever you ask from God, God will give you. 23 Jesus said to her, Your brother will rise again. 24 Martha said to him, I know that he will rise again in the resurrection on the last day. 25 Jesus said to her, I am the resurrection and the life. Whoever believes in me, though he die, yet shall he live, 26 and everyone who lives and believes in me shall never die. Do you believe this? 27 She said to him, Yes, Lord; I believe M that you are the Christ, the Son of God, who is coming into the world. 28 When she had said this, she went and called her sister Mary, saying in private, The Teacher is here and is calling for you. 29 And when she heard it, she rose quickly and went to him. 30 Now Jesus had not yet come into the village, but was still in the place where Martha had met him. 31 When the Jews who were with her in the house, consoling her, saw Mary rise quickly and go out, they followed her, supposing that she waM s going to the tomb to weep there. 32 Now when Mary came to where Jesus was and saw him, she fell at his feet, saying to him, Lord, if you had been here, my brother would not have died. 33 When Jesus saw her weeping, and the Jews who had come with her also weeping, he was deeply moved in his spirit and greatly troubled. 34 And he said, Where have you laid him? 35 Jesus wept. 36 So the Jews said, See how he loved him! 37 But some of them said, t he who opened the eyes of the blind man also have kept this man from dying? Jesus Raises Lazarus 38 Then Jesus, deeply moved again, came to the tomb. It was a cave, and a stone lay against it. 39 Jesus said, Take away the stone. Martha, the sister of the dead man, said to him, Lord, by this time there will be an odor, for he has been dead four days. 40 Jesus said to her, Did I not tell you that if you believed you would see the glory of God? 41 So they took away the stone. And Jesus lifted M up his eyes and said, Father, I thank you that you have heard me. 42 I knew that you always hear me, but I said this on account of the people standing around, that they may believe that you sent me. 43 When he had said these things, he cried out with a loud voice, 44 The man who had died came out, his hands and feet bound with linen strips, and his face wrapped with a cloth. Jesus said to them, Unbind him, and let him go. The Plot to Kill Jesus 45 Many of the Jews therefore, wM ho had come with Mary and had seen what he did, believed in him, 46 but some of them went to the Pharisees and told them what Jesus had done. 47 So the chief priests and the Pharisees gathered the council and said, What are we to do? For this man performs many signs. 48 If we let him go on like this, everyone will believe in him, and the Romans will come and take away both our place and our nation. 49 But one of them, Caiaphas, who was high priest that year, said to them, You know nothing at all. 50 Nor doM you understand that it is better for you that one man should die for the people, not that the whole nation should perish. 51 He did not say this of his own accord, but being high priest that year he prophesied that Jesus would die for the nation, 52 and not for the nation only, but also to gather into one the children of God who are scattered abroad. 53 So from that day on they made plans to put him to death. 54 Jesus therefore no longer walked openly among the Jews, but went from there to the region near the M wilderness, to a town called Ephraim, and there he stayed with the disciples. 55 Now the Passover of the Jews was at hand, and many went up from the country to Jerusalem before the Passover to purify themselves. 56 They were looking for Jesus and saying to one another as they stood in the temple, What do you think? That he will not come to the feast at all? 57 Now the chief priests and the Pharisees had given orders that if anyone knew where he was, he should let them know, so that they might arrest him. ry Anoints Jesus at Bethany 12 Six days before the Passover, jJesus therefore came to Bethany, where Lazarus was, whom Jesus had raised from the dead. 2 So they gave a dinner for him there. Martha served, and Lazarus was one of those reclining with him at table. 3 Mary therefore took a pound of expensive ointment made from pure nard, and anointed the feet of Jesus and wiped his feet with her hair. The house was filled with the fragrance of the perfume. 4 But Judas Iscariot, one of his disciples (he who was about tM o betray him), said, 5 Why was this ointment not sold for three hundred denarii and given to the poor? 6 He said this, not because he cared about the poor, but because he was a thief, and having charge of the moneybag he used to help himself to what was put into it. 7 Jesus said, Leave her alone, so that she may keep it for the day of my burial. 8 For the poor you always have with you, but you do not always have me. The Plot to Kill Lazarus 9 When the large crowd of the Jews learned that Jesus was theM re, they came, not only on account of him but also to see Lazarus, whom he had raised from the dead. 10 So the chief priests made plans to put Lazarus to death as well, 11 because on account of him many of the Jews were going away and believing in Jesus. 12 The next day the large crowd that had come to the feast heard that Jesus was coming to Jerusalem. 13 So they took branches of palm trees and went out to meet him, crying out, Hosanna! Blessed is he who comes in the name of the Lord, evenM the King of Israel! 14 And Jesus found a young donkey and sat on it, just as it is written, Fear not, daughter of Zion; behold, your king is coming, 16 His disciples did not understand these things at first, but when Jesus was glorified, then they remembered that these things had been written about him and had been done to him. 17 The crowd that had been with him when he called Lazarus out of the tomb and raised him from the dead continued to bear witness. 18 The reasoM n why the crowd went to meet him was that they heard he had done this sign. 19 So the Pharisees said to one another, You see that you are gaining nothing. Look, the world has gone after him. Some Greeks Seek Jesus 20 Now among those who went up to worship at the feast were some Greeks. 21 So these came to Philip, who was from Bethsaida in Galilee, and asked him, Sir, we wish to see Jesus. 22 Philip went and told Andrew; Andrew and Philip went and told Jesus. 23 And Jesus answered them, come for the Son of Man to be glorified. 24 Truly, truly, I say to you, unless a grain of wheat falls into the earth and dies, it remains alone; but if it dies, it bears much fruit. 25 Whoever loves his life loses it, and whoever hates his life in this world will keep it for eternal life. 26 If anyone serves me, he must follow me; and where I am, there will my servant be also. If anyone serves me, the Father will honor him. The Son of Man Must Be Lifted Up Now is my soul troubled. And what shall I say? Father, save me from this hour ? But for this purpose I have come to this hour. 28 Father, glorify your name. Then a voice came from heaven: I have glorified it, and I will glorify it again. 29 The crowd that stood there and heard it said that it had thundered. Others said, An angel has spoken to him. 30 Jesus answered, This voice has come for your sake, not mine. 31 Now is the judgment of this world; now will the ruler of this world be cast out. 32 And I, when I am lifted up from the earth, wilM l draw all people to myself. 33 He said this to show by what kind of death he was going to die. 34 So the crowd answered him, We have heard from the Law that the Christ remains forever. How can you say that the Son of Man must be lifted up? Who is this Son of Man? 35 So Jesus said to them, The light is among you for a little while longer. Walk while you have the light, lest darkness overtake you. The one who walks in the darkness does not know where he is going. 36 While you have the light, believe in tM he light, that you may become sons of light. The Unbelief of the People When Jesus had said these things, he departed and hid himself from them. 37 Though he had done so many signs before them, they still did not believe in him, 38 so that the word spoken by the prophet Isaiah might be fulfilled: Lord, who has believed what he heard from us, and to whom has the arm of the Lord been revealed? 39 Therefore they could not believe. For again Isaiah said, He has blinded their eyes lest they see with their eyes, and understand with their heart, and turn, and I would heal them. 41 Isaiah said these things because the saw his glory and spoke of him. 42 Nevertheless, many even of the authorities believed in him, but for fear of the Pharisees they did not confess it, so that they would not be put out of the synagogue; 43 for they loved the glory that comes from man more than the glory that comes from God. Jesus Came to Save the World 44 And Jesus cried out and said, elieves in me, believes not in me but in him who sent me. 45 And whoever sees me sees him who sent me. 46 I have come into the world as light, so that whoever believes in me may not remain in darkness. 47 If anyone hears my words and does not keep them, I do not judge him; for I did not come to judge the world but to save the world. 48 hThe one who rejects me and does not receive my words has a judge; the word that I have spoken will judge him on the last day. 49 For I have not spoken on my own authority, but the FM ather who sent me has himself given me a commandment what to say and what to speak. 50 And I know that his commandment is eternal life. What I say, therefore, I say as the Father has told me. Jesus Washes the Disciples 13 Now before the Feast of the Passover, when Jesus knew that his hour had come to depart out of this world to the Father, having loved his own who were in the world, he loved them to the end. 2 During supper, when the devil had already put it into the heart of Judas Iscariot, Simon s son, to betray him, 3 Jesus, knowing that the Father had given all things into his hands, and that he had come from God and was going back to God, 4 rose from supper. He laid aside his outer garments, and taking a towel, tied it around his waist. 5 Then he poured water into a basin and began to wash the disciples feet and to wipe them with the towel that was wrapped around him. 6 He came to Simon Peter, who said to him, Lord, do you wash my feet? 7 Jesus answered him, What I am doing you do not undersM tand now, but afterward you will understand. 8 Peter said to him, You shall never wash my feet. Jesus answered him, If I do not wash you, you have no share with me. 9 Simon Peter said to him, Lord, not my feet only but also my hands and my head! 10 Jesus said to him, The one who has bathed does not need to wash, except for his feet, but is completely clean. And you are clean, but not every one of you. 11 For he knew who was to betray him; that was why he said, Not all of you are clean. text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 0{"p":"sns","op":"reg","name":"CashHendrix.sats"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 (((((((((((((((((((((((((((((((((((((((((((((((((( text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 FjDs:RUNE:thor1js3w7y099d0hwstw3499rvnnqgduycs8v2esf3:177108183224:ss:0 >j<=:BCH.BCH:qq3fcx859e8jeyz49npc75pv74nvd7ct9qseexlllz::wr:100 CjA=:ETH.ETH:0x1ed7cC5fAf7561eF06d40e421315BEC87fE0c3cd:122454155::0 text/plain;charset=utf-8 CjA=:BNB.BNB:bnb1wqn507h29zz0z8fpjatp05y80cqmkrh32yaqu7:470290332::0 CjA=:ETH.ETH:0xeFE2069FfC5e6f9602387783035cb1a32Ef65Fb8:723369308::0 0d/Foundry USA Pool #dropgold/ (((((((((((((((((((((((((((((((((((((((((((((((((( DjB=:BNB.BNB:bnb1jac2te6aj2wfqngm3shufd7r3u70c4cfvx8m4k:35650006:te:0 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stEvtM ="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMM:History> <rdf:Seq> <M rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </rdf:Seq> </xmpMM:HistM ory> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> sMuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu text/plain;charset=utf-8 D{"p":"brc-20","op":"deploy","tick":"APEZ","max":"1000000","lim":"1"}h! Bj@=:BNB.BNB:bnb18wtr4e2ct9u4q7f0ywdnlujkj3cmztswkyvfzt:14072720::0 text/plain;charset=utf-8 6{"p":"brc-20","op":"transfer","tick":"domo","amt":"1"}h! DjB=:BNB.BNB:bnb1talnxmkyp5mykg9sd2xe0hfyppql0u7g76ge2f:69057768:te:0 FjDOUT:A9CAC4F5EEA1932A1388F519AD3365E52C0DF2446452FD73F2B13E11755252AA text/plain;charset=utf-8 FjDOUT:26EE19FF5624562BB30C6D22A958B0B46E2CF64AA00B97CF00284A401801725A FjDOUT:F3B05255FE182930E8E52F7BFEAB66A44661ABF708CBB0CD0F7391F936366552 FjDOUT:E0EAAB65A2C6503CD87C3D27256206739E92F0B448CA85E396EEDA30BD61D524 FjDOUT:910F236189CCD0F7A16224EE2464D6EB600336EED59E1B6097FC6D4F54C2E91B text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 :{"p":"brc-20","op":"transfer","tick":"wzrd","amt":"57000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 ,{"p":"sns","op":"reg","name":"Muverse.sats"}h! text/plain;charset=utf-8 +{"p":"sns","op":"reg","name":"Kaszek.sats"}h! text/plain;charset=utf-8 +{"p":"sns","op":"reg","name":"M^ZERO.sats"}h! text/plain;charset=utf-8 /{"p":"sns","op":"reg","name":"DelphiLabs.sats"}h! text/plain;charset=utf-8 3{"p":"sns","op":"reg","name":"KaszekVentures.sats"}h! text/plain;charset=utf-8 5{"p":"sns","op":"reg","name":"PolyhedraNetwork.sats"}h! text/plain;charset=utf-8 0{"p":"sns","op":"reg","name":"NibiruChain.sats"}h! text/plain;charset=utf-8 ,{"p":"sns","op":"reg","name":"guolong.sats"}h! <?xml version="1.0" encoding="UTF-8"?><svg id="sagittarius" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" viewBox="0 0 1440 1440"><defs><style>.cls-1{fill:url(#linear-gradient);}.cls-2{fill:#fff;}.cls-3{fill:url(#linear-gradient-2);}</style><linearGradient id="linear-gradient" x1="120.22" y1="-5259.03" x2="1319.78" y2="-4252.49" gradientTransform="translate(0 -4395.76) scale(1 -1)" gradientUnits="userSpaceOnUse"><stop offset="0" stop-color="#6aba71"/><stop offset=".25" stop-color="#6M 4c195"/><stop offset=".5" stop-color="#8da07c"/><stop offset=".75" stop-color="#b7529a"/><stop offset="1" stop-color="#aa5457"/></linearGradient><linearGradient id="linear-gradient-2" y1="-4592.92" y2="-3586.38" gradientTransform="translate(0 5169.65)" xlink:href="#linear-gradient"/></defs><rect class="cls-1" width="1440" height="720"/><rect class="cls-3" y="720" width="1440" height="720"/><g><path class="cls-2" d="M633.84,829.95c-.42-.25-.91-.45-1.39-.62l1.13,1.74c.27-.32,.67-.76,.26-1.12Zm-1.43-14.06h-.01c.05,.04M ,.1,.07,.15,.1l-.14-.1Zm-3.04-1.24c-.89-.31-1.78-.62-2.67-.93l-3.09,2.09,3.53,5.4c1.75-1.77,3.5-3.54,5.26-5.31-.92-.56-1.99-.88-3.03-1.25Zm-16.85,70.33c-1.63-.94-3.38-1.75-4.84-2.81,.15-.55,.55-.79,1.08-.97,2.2-.75,4.37-1.53,6.52-2.38l-5.45-8.34c-4.32,1.61-8.78,2.9-13.11,4.51-.5,.19-.56,.77-.07,1.05,2.4,1.39,4.81,2.76,7.21,4.16,3.55,1.95,1.64,1.99-.97,2.95-5.99,1.96-12.18,3.48-18.28,5.16-.54,.15-.6,.68-.11,1.01,2.66,1.83,5.41,3.55,8.11,5.33,.42,.27,.82,.57,.82,1.09-7.5,2.69-15.62,3.86-23.5,5.48-.94,.06-2.58,.57-1.4M 6,1.48,2.25,1.88,4.62,3.61,6.92,5.44,.69,.44,1.93,1.56,.52,1.95-9.47,2.18-19.24,2.93-28.77,4.77-.08,.73,.44,1.1,.87,1.5,2.1,1.96,4.2,3.92,6.3,5.89,.43,.41,.94,.79,.94,1.4-4.36,1.44-9.24,1.37-13.81,2.02-6.82,.66-13.64,1.31-20.5,1.64-1.38,.42,.41,1.74,.78,2.36,2.38,2.58,4.79,5.15,7.2,7.72,2.41,.25,4.77-.29,7.16-.53,9.62-1.13,19.26-1.84,28.66-4.08-.1-.33-.08-.68-.29-.9-2.5-2.77-5.66-4.88-7.87-7.89,10.12-2.07,20.28-3.44,30.23-6.08-.05-.3,0-.55-.12-.7-2.37-2.25-5.07-4.16-7.57-6.27-.38-.3-.7-.63-.63-1.22,8.45-2.1,17.24-4M .08,25.53-6.73,.14-.53-.1-.88-.54-1.17-1.09-1-9.13-5.22-8.21-6.19,5.61-1.86,11.32-3.42,16.84-5.42,1.82-.76,3.86-.95,5.34-2.32-1.63-1.07-3.29-1.97-4.93-2.91Zm.55-116.38c-4.42-1.18-8.11-3.88-12.5-4.98-1.89,3.02-3.05,6.27-4.99,9.31l1.28,1.95c2.64,1.21,5.28,2.41,7.92,3.63l5.31-3.6c1.12-2.06,1.61-4.48,3.16-6.26-.06-.02-.12-.03-.18-.05Zm-26.66,99.14c5.62-1.88,11.36-3.29,16.87-5.49-2.59-2.42-6.78-3.76-9.9-5.6-.47-.25-.8-.56-.94-1.11,2.03-.73,4.12-1.46,6.16-2.23l-5.85-8.95c-3.86,1.32-7.72,2.63-11.59,3.93-.52,.18-.91,.41-1.M 07,.99,3.16,1.99,6.58,3.7,9.83,5.54,.43,.24,.84,.49,.94,1.05-5.85,2.29-12.12,3.42-18.16,5.22-.36,.11-.43,.57-.1,.77,3.19,1.98,6.46,3.89,9.64,5.87,.26,.17,.31,.55,.51,.92-6.94,1.98-14.02,3.04-21.07,4.53-1.46,.96,7.55,5.71,8.57,6.72,.42,.28,.85,.54,.86,1.04-.74,.52-1.69,.62-2.59,.76-7.22,1.33-14.53,2.2-21.84,3.16-1.27,.63,.46,1.43,.94,1.97,2.31,1.81,4.62,3.62,6.94,5.42,.38,.3,.74,.61,.67,1.1-2.47,.92-5.28,.8-7.89,1.18-6.93,.85-13.98,.97-20.88,1.67-.16,.11-.28,.46-.19,.55,2.01,1.88,4.09,3.72,6.07,5.61,.93,.89,2.33,1.4M 9,2.61,2.77-1.18,1.02-2.77,.46-4.16,.64-9.65,.86-19.39,.56-29.07,.78-.38,.01-.72,.45-.53,.69,2.43,3.15,5.56,5.76,8,8.9,.15,.19-.24,.69-.55,.71-1.34,.05-2.69,.15-4.03,.15-9.73-.04-19.46-.23-29.15-.94l-4.28,2.9c1.76,2.27,3.52,4.53,5.28,6.81,.28,.36,.54,.74,.17,1.28-5.3,.19-10.73-.61-16.04-.92l-15.34,10.38c13.32,1.2,26.73,2.41,40.1,2.22,1.48-.28-1.03-2.51-1.37-3.23-1.74-2.3-3.51-4.6-5.25-6.9-.19-.26-.54-.59-.19-.88,.24-.19,.69-.35,1.02-.32,12.64,.53,25.34,.46,37.99-.05,1.1-.07,1.44-.6,.85-1.28-2.36-2.91-5.28-5.39-7.48M -8.41-.16-.24,.18-.69,.55-.7,11.28-.29,22.58-.76,33.77-2.22,.02-.26,.15-.52,.04-.65-2.59-2.79-5.84-4.98-8.32-7.88-.19-.22,.1-.74,.45-.77,1.73-.15,3.48-.24,5.2-.44,7.71-1.01,15.45-1.72,23.11-3.1,1.94-.51-1.44-2.17-1.93-2.77-2.06-1.55-4.14-3.08-6.19-4.65-.24-.19-.31-.53-.52-.93,8.35-1.79,16.97-2.43,25.09-4.91,.22-.9-.85-1.25-1.42-1.76-2.36-1.61-4.75-3.19-7.1-4.8-.28-.18-.55-.51-.56-.78-.02-.34,.44-.51,.83-.6,3.1-.72,6.22-1.39,9.31-2.14,3.35-.82,6.66-1.72,10-2.58,.54-.14,.94-.38,1.19-.94-3.06-2.27-6.72-3.82-9.79-6.09-M .51-.76,1.29-.94,1.78-1.21Zm-8.42-19.42c-.42-.26-.82-.54-1.24-.8l-4.56,3.08c.87-.41,6.87-.99,5.8-2.28Zm-7.59,12.49c-1.98-1.77-4.48-2.96-6.68-4.47l-12.32,8.34c5.96-.78,11.91-1.69,17.76-2.93,.48-.13,1.44-.3,1.24-.94Zm-4.37-57.35c-1.85,.89-3.7,1.78-5.55,2.66-.58,.27-1.2,.49-1.52,1.16,.52,.36,1.06,.76,1.62,1.14l6.03-4.08-.58-.88Zm-7.83-11.99c-.26,.18-.5,.36-.72,.56,.38,1.13,1.6,1.36,2.42,2.04l-1.7-2.6Zm1.13,81.3c-2.89-2.68-6.59-4.45-9.61-6.96l-30.41,20.58c8.19-.2,16.39-.56,24.53-1.47,.11-.02,.28-.4,.21-.54-.63-1.48-10.M 38-7.37-8.86-8.24,6.93-.87,13.93-1.21,20.81-2.24,1.06-.15,2.11-.38,3.14-.62,.12-.02,.28-.43,.19-.51Zm-30.41,64.62h-.05l.1,.06s-.04-.04-.05-.06Zm-4.72-42.14c-2.49-2.4-5.11-4.66-7.68-6.97l-11.66,7.89c6.34,.13,12.67,.24,19-.17,.36,0,.59-.52,.34-.75Zm-25.52,9.66c-.88-.93-1.76-1.85-2.64-2.77l-5.89,3.98c2.91,.09,5.91,.47,8.81,.14,.63-.34,.06-.99-.28-1.35Zm-53.66,43.05c-1.15-2.9-3.22-5.36-4.76-8.08l-10.83,7.33c4.67,.56,9.35,.95,14.04,1.34,.45-.04,1.68,.11,1.55-.59Zm-29.42-51.18c-1.23-.25-2.48-.43-3.72-.64,1.98,2.96,3.91,5M .96,5.81,8.97l9.12-6.17c-3.75-.67-7.48-1.41-11.21-2.16Zm-3.06,35.63c-10.03-1.57-20-3.35-29.97-5.17-.35-.06-.83,.32-.72,.59,1.7,4.45,4.49,8.47,6.09,12.96-.26,.56-1.15,.41-1.69,.33-21.1-3.76-41.94-8.55-62.6-13.98-1.78-.19-.75,1.63-.52,2.53,1.35,3.61,2.73,7.22,4.07,10.83,.13,.63,.77,1.74-.12,2.01-18.43-3.91-36.64-9.46-54.63-14.85-6.4-1.98-12.73-4.1-19.11-6.13-.98-.31-1.9-.84-3.03-.72-.43,.51-.3,1.04-.17,1.57,1.1,5.07,2.88,10.08,3.57,15.2-.36,.83-2.85-.28-3.59-.39-15.65-4.96-31.18-10.14-46.55-15.64-14.08-4.82-27.74-10.M 7-41.64-15.64-.62-.06-.66,.55-.67,.98,.61,4.82,1.23,9.64,1.84,14.46,.15,1.17,.47,2.34,.13,3.51-37.09-12.49-73.51-29.44-109.12-45.46-.76-.33-1.43-.09-1.47,.51-.02,.43-.04,.86-.04,1.29l.09,17.13c0,1.3-.16,2.55,1.43,3.08,35.35,15.58,71.34,29.8,107.86,42.7,.97,.35,1.99,.62,3,.9,.31,.09,.58-.06,.59-.28-.1-5.91-1.36-11.79-1.9-17.68-.24-2.32,2.74-.36,3.84-.15,28.11,10.49,56.97,19.82,85.92,28.21,2.21,.49,5.64,2.54,4.23-1.57-1.02-4.76-2.56-9.45-3.11-14.29,0-.11,.41-.38,.56-.35,1.03,.21,2.06,.44,3.05,.75,13.07,4.02,26.3,7.67M ,39.63,11.11,10.64,2.74,21.35,5.28,32.13,7.65,.9,.2,1.83,.31,2.76,.4,.17,.02,.56-.25,.55-.37-.92-4.71-3.05-9.14-4.44-13.74-.21-.52-.31-1.24,.42-1.31,6.4,1.07,12.69,2.86,19.07,4.14,14.96,3.14,30.07,6.12,45.29,8.22,1.84,.22,1.09-1.47,.56-2.41-1.59-3.66-3.64-7.15-4.91-10.92-.03-.13,.25-.43,.41-.44,.66-.03,1.34-.05,1.98,.04,10.11,1.56,20.19,3.16,30.36,4.32l-9.43-13.93Zm-37.6-19.91c9.37,1.89,18.64,4.09,28.06,5.81l-1.51-2.23,11.77-7.97c-11.2-2.1-22.28-4.56-33.28-7.22-4.39-.98-8.66-2.44-13.11-3.11-.07,0-.26,.14-.26,.22-.0M 1,.31-.05,.66,.09,.93,1.9,3.68,3.83,7.36,5.73,11.04,.22,.54,.72,1.45-.14,1.64-21.12-4.39-41.68-11.05-62.12-17.39-.12,.4-.35,.73-.26,.99,1.59,4.58,3.52,9.04,5.29,13.56,.13,.3,.24,.69-.17,.86-25.17-6.19-49.34-16.36-73.72-25.1-.29-.09-.86,.28-.81,.53,.05,.32,.09,.64,.18,.96,1.26,4.85,2.69,9.66,3.81,14.54,.04,.21,.04,.42,.05,.64,.03,.26-.56,.55-.9,.42-5.24-1.96-10.52-3.87-15.71-5.91-23.94-9.12-47.48-19.26-70.75-29.81-.52-.22-1.18,.08-1.14,.51,.13,1.5,.27,3.01,.46,4.5,.38,4.59,1.66,9.28,1.58,13.8-.9,.32-1.55-.21-2.21-.5M -33.97-14.83-67.3-30.94-100.02-48.14-1.09-.41-3.37-2.23-3.28,.1,.18,6.75-.37,13.62,.26,20.32,28.67,14.49,57.92,27.77,87.57,40.34,5.84,2.46,11.71,4.87,17.57,7.3,.82,.34,1.61,.8,2.67,.66,0-5.95-1.55-11.99-2.04-17.96-.1-.86,.29-1.3,1.43-.85,27.91,11.94,56.3,23.01,85.13,32.79,1.11,.38,2.25,.69,3.38,1.02,.3,.08,.5-.07,.57-.33,.24-.87-.08-1.71-.3-2.54-1.12-4.32-2.27-8.64-3.39-12.96-.53-2.26,1.65-.86,2.82-.64,23.5,8.61,47.48,16.07,71.67,22.73,.52,.14,1.43,.39,1.63-.25-1.36-4.52-3.3-8.87-4.91-13.3-.12-.53-.57-1.5,.19-1.69,M 11.87,3.01,23.59,6.7,35.59,9.52,8.35,2.08,16.77,4,25.23,5.8,.64,.14,1.31,.23,1.96,.33,.63,.09,1.11-.29,.92-.71-1.75-3.74-3.7-7.4-5.53-11.1-.19-.62-1.39-2.07-.05-2.15Zm36.88-16.46l-.15,.06c.07,.01,.14,.02,.21,.04-.02-.03-.04-.07-.06-.1Z"/><path class="cls-2" d="M1040.92,841.21c21.28,8.14,18.43,13.4,11.07-9.98-1.58-4.67-3.59-9.22-5.03-13.94-.01-.18,.32-.41,.51-.35,5.73,2.06,10.86,5.68,16.56,7.73,.33-.5,.16-.92,0-1.33-3.47-9.4-7.49-18.61-11-27.99-.01-.27,.29-.73,.65-.57,6.03,2.69,11.57,6.31,17.52,9.14,.47-.45,.38-.86,M .2-1.26-3.46-8.05-6.87-16.11-10.7-24-.18-1.51,1.84-.24,2.56,.07,5.68,3.02,11.71,5.55,17,9.19,.1-.13,.19-.24,.4-.52-.24,.29-.34,.41-.45,.54,1.11-1.24-.31-2.69-.74-3.94-2.99-6.09-5.99-12.17-8.96-18.27-.1-.3-.29-1.02,.14-1.07,7.48,3.44,14.89,7.72,21.67,12.18l.18-.17-.25,.14c1.13-1.06-.31-2.48-.68-3.62-2.83-5.59-5.67-11.17-8.5-16.76-1.73-3.39,.12-1.95,2.11-.97,6.94,3.91,13.62,8.1,20.32,12.27,2.75,1.67,2.46,.79,1.29-1.55-2.76-5.49-5.54-10.98-8.3-16.47-.27-.87-1.31-1.81-.78-2.7,9.17,4.71,17.84,11.15,26.48,16.81,.6,.32,1.M 29,.97,1.97,.99,.1-.18,.28-.41,.21-.56-1.9-4.03-3.79-8.06-5.74-12.07-1.32-2.71-2.71-5.39-4.07-8.09-.12-.24-.08-.42,.23-.54,.62-.06,1.19,.48,1.71,.74,10.61,6.89,20.81,14.33,31.16,21.55,.41-.47,.28-.86,.09-1.27-2.97-6.57-5.95-13.15-8.83-19.76-.03-.07,.08-.21,.17-.27,.51-.22,1.19,.43,1.64,.64,3.6,2.6,7.23,5.17,10.76,7.83,8.43,6.19,16.66,12.61,24.92,18.89,.13,.08,.44,0,.64-.06,.34-.35-.17-1.09-.25-1.53-2.43-5.93-4.87-11.86-7.31-17.79-.21-.51-.46-1.02-.05-1.54,.89,.08,1.38,.63,1.95,1.07,14.32,11.09,28.6,22.41,42.07,34.4M 2-.1-.24-.05-.28,.15-.12l-.28,.07c.59-1.04,.22-2.05-.18-3.1-1.8-5.28-3.62-10.56-5.42-15.85-.25-1.01-1.06-2.18-.13-3.07h-.05c17.3,14.97,34.93,29.35,51.02,45.41,0,0,.08-.14,.08-.14l-.17,.09c1.19-1.04,.29-2.72,.19-4.04-.9-4.13-1.84-8.26-2.75-12.4-.05-.69-.54-1.64,.27-2.01,11.78,9.37,22.62,20.55,33.71,30.78,8.19,7.86,16.25,15.81,24.2,23.82,.43,.32,.91,1,1.48,.94,.18-.12,.46-.29,.44-.43-.58-5.15-1.19-10.29-1.79-15.43-.2-1.73-.7-4.48,1.72-2.14,23.23,22.37,45.67,45.51,67.4,69.26,.02,7,.04,13.89,.06,20.78,.01,.35-.57,.51-.M 86,.24-20.63-22.99-41.66-46.02-63.44-68.13-2.93-2.84-2.63-1.77-2.36,1.44,.53,5.15,1.09,10.29,1.6,15.44,.01,.13-.3,.29-.5,.41-18.82-18.45-37.03-38.62-57.04-56.41-.8-.26-.63,.57-.53,1.1,1.39,6.6,3.69,13.4,4.44,19.95-.22,.03-.57,.08-.67,0-1.06-.97-2.08-1.97-3.11-2.97-12.29-12-24.96-23.74-37.94-35.27-2.43-1.97-4.53-4.42-7.18-6.07-1.03-.28-.27,1.41-.25,1.87,1.97,6.15,3.95,12.3,5.92,18.45,.09,.29,0,.62-.04,.93,0,.03-.23,.1-.3,.06-14.03-11.74-27.57-24.22-41.97-35.77-.08,.06-.14,.1-.2,.15,.11,0,.18-.1,.27-.16-.82,.84-.1,1.M 86,.18,2.76,2.1,5.56,4.21,11.11,6.31,16.67,.27,.72,.52,1.45,.72,2.18,.04,.13-.17,.33-.31,.46-12.13-8.99-23.54-19.74-36.29-28.35-.16-.05-.36-.19-.43,.02,.21,.16,.38,.11,.5-.12-.6,.94,.07,1.83,.4,2.74,2.58,6.34,5.51,12.57,7.88,18.99,.02,.07-.1,.25-.17,.25-1.03,.14-1.68-.89-2.47-1.38-8.92-7.03-18.09-13.86-27.49-20.48-.5-.26-1.06-.93-1.64-.82-.61,.6,.09,1.4,.28,2.07,2.67,5.98,5.36,11.95,8.02,17.93,.27,.6,.44,1.23,.62,1.86-.21,.57-.93,.16-1.25-.12-7.18-5.05-14.35-10.11-21.55-15.14-1.51-1.06-3.14-2-4.73-2.99-.07-.05-.27-M .02-.37,.03-.66,.2,.59,1.85,.67,2.37,2.73,5.96,5.46,11.92,8.18,17.88,.23,.78,1.02,1.62,.51,2.4-1-.15-1.6-.78-2.3-1.26-6.37-4.32-12.84-8.54-19.44-12.63-.74-.37-1.53-1.08-2.34-1.18-.13,.16-.34,.38-.29,.53,.3,.82,.65,1.64,1.01,2.45,2.67,5.98,5.35,11.95,8.02,17.93,.36,.81,.69,1.63,.99,2.46,.05,.15-.12,.37-.24,.54-.91-.1-1.77-.99-2.58-1.43-5.58-3.91-11.4-7.56-17.5-10.94-1.42-.74-2.42-1.05-1.51,1,3.42,7.71,6.59,15.48,9.64,23.29,.36,.92,.69,1.85,.98,2.79,.04,.13-.17,.32-.27,.5-5.85-3.16-11.19-7.09-16.91-10.49-2.67-1.41-4.M 22-2.82-2.44,1.33,3.29,8.2,6.48,16.41,9.44,24.69,.33,.92,.49,1.9,1.28,2.69v-.04c-1.28,.74-2.41-.44-3.49-1-4.24-2.48-8.48-4.97-12.72-7.44-1.24-.67-3.67-2.27-2.55,.56,3.49,9.28,6.62,18.64,9.71,28.01,.58,2.18,.67,2.77-1.62,1.55-4.71-2.51-9.28-5.26-14.12-7.53-.23-.07-.89-.05-.89,.33,2.58,9.9,5.98,19.65,8.63,29.54,.08,.72,1.43,4.19,.29,3.81-5.34-2.09-10.19-5.53-15.62-7.25-.27,.09-.33,.59-.29,.84,1.4,5.59,2.85,11.18,4.21,16.78,1.42,5.81,2.84,11.63,3.88,17.49,.05,.3-.06,.62-.13,.92-.47,.32-1.28-.24-1.78-.36-3.74-1.71-7.46M -3.45-11.2-5.17-.69-.31-1.36-.72-2.23-.61-.47,.47-.33,1.01-.24,1.52,.32,1.81,.65,3.62,1.02,5.43,2.06,10.51,4.09,21.06,5.2,31.68,0,.24-.24,.39-.56,.32-4.2-1.27-8.15-3.31-12.26-4.87-1.33-.52-2.96-1.33-2.54,.93,1.44,13.51,3.24,27.01,3.81,40.59-.19,1.7-2.57,0-3.53-.22-3.69-1.29-7.31-2.83-11.06-3.94-1.43-.24-1.07,1.41-1.1,2.28,.23,6.24,.56,12.49,.66,18.74,.07,7.11,.06,14.22,.06,21.33,0,1.51-.06,3.02-.13,4.52,.04,.74-.86,1.03-1.67,1.07-4.42,.38-8.84,.76-13.26,1.13-.66,.03-1.77,.17-2.14-.48,.18-14.52,.72-29.08,.29-43.62-.M 18-1.16,.5-3.35-1.45-3.1-4.36,.59-8.64,1.65-12.97,2.44-2.4,.34-1.26-2.93-1.55-4.31-.1-11.64-.51-23.27-1.22-34.89-.13-.7-.05-1.79-.97-1.92-3.98,.69-7.87,2.3-11.27,4.19-1.36,.61-2.97,1.93-2.91-.64-.37-10.77-1.54-21.51-2.52-32.25-.18-.68,.16-1.84-.75-2.01-.36-.01-.81,.1-1.08,.28-2.79,1.86-5.55,3.76-8.33,5.63-1.03,.69-2.08,1.36-3.13,2.03-.28,.18-.94,0-1.01-.25-1.41-10.11-1.67-20.52-3.98-30.5-.73-.92-1.81,.36-2.47,.81-2.44,2.01-4.86,4.04-7.29,6.06-.79,.57-1.42,1.46-2.46,1.56-.67-.61-.68-1.38-.78-2.12-.32-2.25-.66-4.49-.M 9-6.75-.57-5.59-1.92-11.09-2.85-16.64-.17-.58-.39-1.86-1.23-1.66-15.02,13.2-8.16,14.96-14.77-11.32-.21-.95-.56-1.88-.89-2.81-.03-.08-.57-.16-.66-.08-3.51,2.92-5.58,7.38-9.17,10.12-.06,.03-.29-.02-.31-.06-1.4-3.44-1.63-7.19-2.61-10.75-.8-3.27-1.75-6.52-2.67-9.77-.02-.08-.54-.18-.64-.11-11.74,14.31-7.08,15.94-12.97-3.89-.74-1.82-.91-4.99-2.97-1.82-1.88,2.98-3.73,5.97-5.6,8.96-.43,.61-.73,1.28-1.66,1.07-1.43-5.1-2.94-10.23-4.88-15.27-.07-.18-.31-.32-.48-.47-.68,.24-.94,.74-1.21,1.23-1.69,3.05-3.37,6.11-5.08,9.15-.58,.M 79-.82,1.87-2.02,1.84-6.78-19.61-3.21-16.56-12.73-.65-1.43-.99-1.42-2.72-2.09-4.19-.91-2.59-1.98-5.14-3.26-7.64-.07-.14-.39-.31-.53-.28-.23,.04-.51,.21-.6,.38-2.13,4.05-4.06,8.21-6.1,12.3-.21,.43-.54,.72-1.25,.65-1.56-3.16-2.91-6.49-4.68-9.58-.16-.26-.58-.42-1-.71-2.48,4.72-4.5,9.5-7.13,14.19-1.79-.82-2.1-3.25-3.23-4.79-.62-.9-2.08-4.27-3.43-3.92-2.41,4.3-4.45,8.78-6.72,13.14-1.2,2.32-1.58,1.01-2.61-.47-1.12-1.85-2.44-3.6-3.89-5.28-.42-.55-1.27-.31-1.49,.25-2.53,4.75-4.68,9.69-7.68,14.2-.33-.04-.67,0-.8-.12-1.98-2.M 06-3.58-4.35-5.71-6.3-1.69,.79-1.98,2.73-3,4.15-2.36,3.72-4.17,7.84-6.92,11.29-.09,.09-.59,.08-.71-.02-2.11-1.73-3.78-4.21-6.27-5.33-4.18,5.05-7.25,10.83-11.39,15.96,1.84,2.23,3.62,4.37,5.4,6.52,.21,.25,.85,.27,1.06,.03,4.19-4.81,7.48-10.23,11.14-15.34,.18-.24,.87-.29,1.05-.06,1.57,1.99,3.17,3.95,4.51,6.09,1.05,.75,1.72-1.01,2.28-1.64,2.83-4.4,5.55-8.86,8.42-13.24,1.25-1.52,2.97,3.3,3.72,4.11,.56,.98,1.03,1.99,1.58,2.97,.08,.14,.38,.31,.56,.3,.23-.02,.55-.16,.66-.32,.64-.95,1.27-1.9,1.83-2.88,1.97-3.42,3.9-6.86,5.8M 5-10.29,.33-.58,.55-1.21,1.34-1.69,1.76,1.73,2.26,4.33,3.42,6.47,.37,.81,.73,1.62,1.11,2.42,.03,.07,.2,.17,.27,.15,1.11-.13,1.39-1.46,1.99-2.24,1.94-3.43,3.86-6.88,5.81-10.31,.56-.74,.81-1.89,1.96-1.8,1.4,2.9,2.39,5.92,3.52,8.91,.25,.44,.64,1.67,1.32,1.19,2.96-4.37,4.89-9.38,7.82-13.76,.68,.18,.93,.55,1.07,.95,1.28,3.7,2.45,7.27,3.78,10.98,.42-.15,.93-.2,1.05-.4,1.03-1.75,1.98-3.54,2.96-5.31,1.37-2.45,2.75-4.9,4.15-7.34,.07-.12,.46-.13,.7-.16,.41,.13,.46,.75,.64,1.1,1.24,3.64,2.42,7.28,3.24,11,.12,.54,.27,1.06,.96,M 1.34,.77-.33,1-.98,1.33-1.55,1.94-3.32,3.86-6.64,5.79-9.96,.28-.48,.52-1,1.19-1.25,.77,.53,.89,1.28,1.07,2,.86,3.48,1.7,6.97,2.57,10.46,.26,1.05,.62,2.09,.94,3.13,.1,.13,.54,.14,.66,.03,2.56-3.19,4.41-6.9,6.7-10.29,.48-.62,.83-1.56,1.77-1.55,1.85,4.93,2.88,10.52,3.87,15.75,.09,.63,.4,1.24,.63,1.85,.03,.07,.18,.14,.27,.15,.75-.08,1.19-1.2,1.69-1.7,1.93-2.72,3.84-5.44,5.76-8.16,1.83-2.62,2.11-1.54,2.67,.93,1.16,5.96,2.29,11.91,3.45,17.98,.4-.06,.91-.02,1.06-.19,2.83-3.26,5.4-6.69,8.16-10.01,.19-.23,.73-.5,.92-.43,.3,M .11,.56,.48,.62,.77,.36,1.59,.72,3.18,.97,4.78,.91,5.85,1.64,11.77,2.65,17.59,1.1,.2,1.54-.57,2.23-1.21,2.84-2.85,5.34-6.05,8.42-8.65,.24-.18,.58-.09,.64,.16,1.58,5.84,1.86,11.96,2.56,17.94,.25,2.68,.59,5.36,.91,8.04,.02,.18,.24,.35,.38,.52,1.05,.5,2.09-1.35,2.94-1.86,2.42-2.17,4.84-4.34,7.28-6.5,.55-.4,1.15-1.1,1.91-.7,1.42,7.65,1.63,15.68,2.39,23.48,.18,2.26,.34,4.51,.51,6.77,.02,.23,.77,.44,.99,.29,2.6-1.65,4.92-3.66,7.43-5.45,1.39-1.02,2.84-1.98,4.27-2.96,1.64-.5,1.3,2.83,1.5,3.81,.73,10.43,.72,20.9,1.24,31.32,M .52,.56,1.5-.09,2.04-.36,4.03-2.33,7.89-4.96,12.02-7.1,1.09-.35,1.05,.89,1.12,1.6,.86,12.92,.26,25.84,.2,38.76,.3,.52,1.26,.26,1.72,.02,1.62-.77,3.2-1.6,4.83-2.35,1.99-.72,7.79-4.05,9.41-2.21,.55,13.65-.47,27.36-1.07,41.01-.31,1.7,.18,4.05-1.03,5.33l.11-.08c-5.88,1.34-11.02,4.56-16.74,6.33-.84,.04-.73-.95-.72-1.52,.46-4.72,.99-9.44,1.45-14.17,.47-10.11,1.71-20.21,1.67-30.33,0-.27-.61-.49-.92-.35-4.63,2.13-9.07,4.65-13.61,6.96-.45,.23-.92,.47-1.6,.1-.04-13.15,1.68-26.44,.73-39.57-.05-.13-.5-.33-.61-.28-4.23,2.18-8.0M 1,5.09-12.06,7.58-3.07,2.41-2-1.85-2.07-3.62,.39-9.7,.03-19.39-.33-29.08-.03-.56-.1-1.6-.88-1.52-3.93,2.5-7.37,5.68-11.09,8.47-.53,.51-1.8,1.11-1.92-.1-.27-9.79-.44-19.62-1.32-29.37-.97-.85-1.92,.67-2.67,1.21-2.55,2.37-5.07,4.75-7.63,7.12-1.12,.99-2.31,2.03-2.38-.3-.55-7.09-1.07-14.19-1.64-21.28-.09-1.17-.41-2.33-.63-3.5-.01-.07-.16-.15-.27-.17-1.53-.27-10.22,12.11-11.05,10.37-.52-1.06-.43-2.34-.59-3.49-.28-4.74-.95-9.45-1.59-14.15-.22-1.6-.44-3.2-.71-4.8-.02-.15-.35-.28-.56-.38-.45,0-.83,.55-1.14,.84-2.27,2.79-4.4M 5,5.65-6.7,8.46-.63,.62-1.04,1.75-1.99,1.89-.17,0-.36-.22-.5-.37-.33-1.88-.48-3.87-.77-5.78-.6-4.39-1.15-8.79-2.06-13.14-.06-.3-.33-.57-.53-.85-.52-.1-1,.69-1.34,.99-1.15,1.09-7.6,12.08-8.43,10.4-1.69-5.61-1.83-11.59-3.31-17.27-.44,.15-.94,.18-1.09,.39-2.59,3.76-5.01,7.63-7.54,11.42-.27,.41-.63,.68-1.35,.53-.8-4.67-1.87-9.34-2.89-13.97-.11-.51-.23-1.05-.91-1.33-.75,.36-.98,1-1.33,1.57-2.18,3.58-4.35,7.17-6.53,10.75-.24,.39-.54,.75-1.31,.72-1.62-4.28-1.72-8.92-3.56-13.14-.74-.61-1.59,1.47-2.03,1.94-2.04,3.39-4.06,6.M 8-6.1,10.2-.28,.46-.51,.99-1.24,1.16-.67-.46-.76-1.11-.93-1.74-.58-1.42-2.09-10.43-3.6-9.79-2.77,3.43-4.61,7.54-7.01,11.24-.29,.49-.54,.99-.91,1.44-.4,.48-.43,1.4-1.44,1.25-.7-.1-.67-.85-.85-1.36-1.23-2.83-1.68-6.39-3.55-8.81-.79,.48-1.07,1.09-1.41,1.67-2.15,3.59-4.3,7.19-6.47,10.77-.47,.77-1.04,1.5-1.58,2.25-.06,.08-.26,.17-.34,.15-.21-.07-.48-.17-.56-.32-1.61-2.78-2.19-6.15-4.22-8.65-1.03,.59-1.34,1.46-1.84,2.21-2.6,3.89-5.16,7.81-7.75,11.7-.54,.67-.91,1.51-1.94,1.47-1.19-2.27-2.4-4.54-3.59-6.82-.22-.42-.56-.72-1M .28-.85-3.61,4.89-6.96,9.93-10.85,14.69-.57,.5-1.23,1.89-2.13,1.49-1.04-1.22-1.44-2.78-2.32-4.11-.65-1.02-.67-2.34-2.19-2.95-1.19,.6-1.65,1.64-2.38,2.52-3.41,4.14-6.79,8.29-10.18,12.43-.37,.45-.71,.9-1.55,1.06-1.93-2.28-3.4-4.82-5.21-6.95-.1-.72,.35-1.01,.64-1.36,4.06-4.95,8.12-9.91,12.17-14.87,.71-.87,.66-1.2-.25-1.98-1.91-1.66-3.87-3.28-5.89-4.63-.92-.06-1.14,.38-1.4,.71-4.06,4.92-7.55,10.03-12.08,14.61-2.93-1.29-4.87-3.7-7.59-5.1-.99,0-1.29,.53-1.68,.93-4.69,4.52-8.83,9.72-13.9,13.8-2.02-1.13-6.33-4.13-7.78-5.41M ,4.67-4.74,9.25-9.56,13.95-14.25,.37-.34,.99-.42,1.44-.15,2.53,1.52,4.88,3.07,7.48,4.5,4.37-4.36,8.23-9.07,11.9-13.93,1.04-1.31,1.39-1.37,2.78-.49,2.22,1.25,4.04,3.05,6.43,3.96,4.21-4.98,7.17-10.29,11.15-15.46,3.08,1.28,4.67,3.42,7.5,5.08,3.04-4.28,5.09-9.06,7.74-13.57,.79-1.31,1.19-2.59,2.83-1.23,1.53,1.22,3.04,2.45,4.55,3.67,1.3,1.05,1.67,.97,2.49-.49,1.86-3.57,3.59-7.2,5.39-10.8,.59-1.07,.84-2.39,1.88-3.13,.86,.26,1.27,.84,1.76,1.35,1.55,1.62,3.09,3.26,4.64,4.88,.88,.55,1.36-.7,1.68-1.32,1.02-2.22,2.03-4.45,3.03M -6.68,.87-1.92,1.72-3.85,2.59-5.77,.19-.42,.98-.56,1.3-.22,1.87,1.93,3.4,4.13,5.12,6.19,.28,.34,.55,.72,1.17,.74,.6-.47,.83-1.09,1.09-1.7,1.52-3.56,3.06-7.12,4.6-10.68,.32-.67,.68-1.88,1.62-1.24,2.17,2.54,3.95,6,6.2,8.25,.72-.27,.91-.79,1.13-1.28,1.42-3.25,2.8-6.51,4.22-9.77,.31-.71,.67-1.4,1.07-2.08,.04-.07,.57-.09,.66,0,2.38,2.62,3.79,5.93,5.71,8.87,.23,.39,.54,.7,1.26,.74,1.86-3.64,3.39-7.47,5.09-11.19,.26-.59,.46-1.22,1.18-1.61,.59,.32,.87,.8,1.15,1.3,2,3.3,3.5,6.74,5.2,10.15,1.63,1.52,5.63-11.25,7.5-12.29,3.01M ,4.41,4.18,9.25,6.22,14.01,.68,.07,1.02-.21,1.24-.62,2.21-3.56,3.83-7.89,6.45-11.04,.23,.03,.6,.08,.66,.2,2.09,4.49,3.38,9.29,5.11,13.93,1.12,3.46,1.81,1.3,3.14-.51,1.71-2.69,3.39-5.38,5.1-8.07,.24-.38,.59-.68,1.29-.53,2.55,5.96,4.01,12.22,6.08,18.34,.37-.11,.72-.12,.84-.26,2.57-3.12,4.82-6.47,7.28-9.68,.19-.24,.85-.78,1.17-.6,.28,.49,.62,.96,.77,1.48,1.95,6.37,3.66,12.79,5.43,19.2,.11,.2,.69,.5,.96,.25,3.08-2.92,5.55-6.39,8.61-9.35,.31-.25,1.08-.14,1.22,.29,1.15,4.43,2.3,8.85,3.39,13.29,.7,2.85,1.28,5.72,1.95,8.58M ,.23,.59,.35,1.86,1.24,1.63,3.57-2.68,6.39-6.22,10.03-8.81,.74-.4,1.03,.87,1.22,1.34,1.77,8.6,3.8,17.15,5.17,25.82,.62,.97,1.83-.41,2.49-.78,3.18-2.32,6.18-4.88,9.48-7.02,.92-.38,1.16,.98,1.33,1.61,.66,3.62,1.3,7.25,1.93,10.87,1.01,5.86,1.73,11.76,2.57,17.64,.07,.53,.13,1.08,.89,1.42,4.12-1.98,8.42-3.82,12.74-5.44l-.12-.12c2.46,11.07,2.99,22.48,4.18,33.74,.29,1.11-.19,3.37,1.58,3.16,4.1-1.06,8.19-2.13,12.31-3.1,.5-.12,1.13,.23,1.17,.64,1.26,12.87,2.18,25.79,2.57,38.71,.01,.85-.01,1.74,.43,2.49,2.37,.25,8.73-1.18,14M .02-1.53,.51-.03,1-.28,1.61-.46-.17-13.9-2.02-27.75-3.32-41.59-.07-1.32,1.51-.87,2.28-.6,3.47,1.18,6.93,2.38,10.39,3.57,.61,.21,1.19,.52,1.92,.32,.5-.82,.22-1.68,.1-2.51-1.34-11.83-3.98-23.46-5.74-35.23-.04-1.17,1.77-.61,2.49-.24,3.27,1.27,6.54,2.54,9.82,3.79,.71,.27,1.37,.72,2.23,.56,.42-.5,.3-1.04,.2-1.56-.3-1.6-.57-3.2-.96-4.78-2.14-9.73-4.79-19.4-6.91-29.11,.84-.25,1.42,.07,1.97,.3,3.36,1.37,6.7,2.77,10.04,4.16,.83,.16,3,1.82,3.33,.54-2.67-11.23-6.41-22.24-9.81-33.29l-.08,.12Z"/><path class="cls-2" d="M1028.86,M 457.73l-.1,.09c.05,.01,.1,.01,.15,.02-.02-.04-.03-.07-.05-.11Zm64.61-6.38l.12,.03v-.12l-.12,.09Zm0,0l.12,.03v-.12l-.12,.09Zm291.8,93.67c.39-2.35-1.88-2.91-3.6-3.69-35.69-15.35-71.59-30.31-108.62-42.7-.95,.1-.65,1.22-.69,1.89,.36,3.32,.78,6.64,1.14,9.97,.25,2.24,.45,4.5,.66,6.75,.02,.24-.6,.58-.89,.47-30.9-11.4-62.19-21.91-94-30.83-1.35-6.03-2.44-12.12-4.08-18.08-26.78-7.3-54.23-12.5-81.6-17.42,.34,4.82,2.59,9.37,3.8,14.02,.47,1.58,.25,2.25-1.61,1.86-22.15-4.02-44.45-7.26-66.87-9.42,1.77,4.13,3.56,8.27,5.32,12.41,.2M 3,.68,.74,1.75-.34,1.94-10.58-.83-21.11-2.22-31.72-2.79-8.06-.49-16.12-1.04-24.21-1.13-.56,0-.94,.47-.73,.9,1.79,3.62,3.87,7.1,5.76,10.67,.53,.97,.19,1.3-1.25,1.3-15.69-.43-31.5-1.38-47.14,.07-.24,.51-.01,.9,.24,1.27,1.22,1.8,2.45,3.6,3.68,5.39,.84,1.23,1.72,2.44,2.51,3.69,.14,.22-.04,.58-.08,.96-9.12,.22-18.17,.52-27.24,1.33l32.68,5.07c-1.27-1.82-2.69-3.56-3.81-5.49-.15-.26,.13-.71,.45-.75,9.94-.37,19.94-.05,29.88,.41,5.77,.19,11.55,1.03,17.31,.82,.8-.36-.06-1.41-.27-1.98-1.81-3.24-3.74-6.43-5.51-9.69-.18-.39,.28-M .92,.8-.9,18.81,.59,37.51,3.63,56.17,5.36-1.36-4.81-4.45-8.97-5.81-13.74,.78-.35,1.46-.29,2.12-.21,6.65,.85,13.28,1.75,19.89,2.78,14.54,2.27,28.95,4.99,43.32,7.85,.64,.07,1.75,.46,2.15-.21-.89-4.47-2.86-8.75-4.14-13.13-.27-.82-.85-2.02,.64-1.97,26.84,4.88,53.43,11.33,79.62,18.84,1.34,5.47,2.68,10.94,3.93,16.43,.1,.43,.09,.84-.42,1.26-25.72-7.45-51.5-14.89-77.81-20.25-1.32,.02-.61,1.35-.46,2.11,1.35,3.95,2.72,7.89,4.08,11.83,.84,2.18-1.17,1.45-2.5,1.24-19.95-4.7-40.08-8.71-60.36-11.92-3.22-.4-3.8-.32-2.55,2.3,1.66,3M .63,3.55,7.17,4.92,10.91,.04,.12-.28,.46-.41,.45-.93-.04-1.87-.11-2.79-.25-17.33-2.64-34.7-5.46-52.23-6.46-1.35,.36,.14,1.76,.41,2.48,1.55,2.51,3.12,5.01,4.67,7.52,.23,.68,1.59,1.89,.58,2.38,.07,0,4.41,.7,4.48,.69,16.67,2.19,33.38,4.79,49.87,7.98,.79,.18,3.08,.81,2.72-.55-1.79-3.84-3.78-7.6-5.63-11.41-.75-1.44-.4-1.92,1.2-1.58,21.68,3.86,43.08,8.93,64.35,14.41-1.73-4.68-3.47-9.35-5.18-14.04-.22-.72-.51-1.29,.21-1.87,26.34,6.21,52.08,14.24,77.74,22.41-1.32-4.09-2.09-8.37-3.18-12.53-.33-1.38-.6-2.76-.87-4.14-.08-.44,M .49-.87,1-.74,28.24,8.44,55.75,18.56,83.1,29.24,2.56,.95,5.04,2.08,7.63,2.95,.86,.17,1.02-.38,.99-1.02-.66-5.79-1.61-11.55-2-17.36,.31-1.6,3,.27,3.99,.42,35.78,13.55,70.89,28.91,105.58,44.71,.32,.12,.88-.16,.91-.44,.32-6.33,.02-12.7,.1-19.05Zm-291.8-93.67l.12,.03v-.12l-.12,.09Zm0,0l.12,.03v-.12l-.12,.09Zm-64.61,6.38l-.1,.09c.05,.01,.1,.01,.15,.02-.02-.04-.03-.07-.05-.11Zm-95.69,22.55c-2-3.77-4.64-7.22-6.92-10.83-.01-.03-.03-.05-.05-.08-14.32,1.22-28.72,2.48-42.81,5.24,1.62,2.99,4.04,5.52,5.99,8.31,.4,.54,1,1.03,.88M ,1.87-5.4,1.2-11.01,1.77-16.43,2.9l21.96,3.4c-1.32-1.95-3.41-3.64-4.25-5.83,.37-.54,1.07-.62,1.69-.72,1.72-.27,3.45-.52,5.18-.7,11.49-1.27,23.01-2.21,34.54-2.98,.08-.19,.3-.43,.22-.58Zm-24.11,64.53c-2.32-2.09-4.71-4.14-7.02-6.24-.27-.25-.48-.56-.21-.87,.12-.15,.4-.3,.62-.31,5.51-.26,10.99-.83,16.53-.78l-23.02-3.56c1.7,1.51,4.55,4.07,3.73,4.2-1.43,.78-3.11,.51-4.69,.68-2.27,.24-4.55,.43-6.81,.71-5.19,.64-10.37,1.32-15.55,2.01-.6,.18-2.84,.27-2.18,1.25,2.97,2.32,6.05,4.56,8.91,7.01,.1,.08-.02,.5-.12,.52-8.41,1.68-16.M 88,2.72-25.2,4.82,.18,.38,.22,.73,.46,.91,2.93,2.06,5.95,4.05,8.88,6.1,.26,.18,.08,.68-.29,.78-6.93,1.91-13.97,3.22-20.86,5.27,.1,.31,.07,.72,.3,.87,1.36,.88,2.77,1.7,4.17,2.54,1.51,.91,3.03,1.8,4.55,2.7,.44,.26,.81,.56,.87,1.16-5.72,1.77-11.47,3.6-17.18,5.38-.63,.19-1.23,.39-1.48,1.05,16.61,9.51,12.23,3.59-5.15,12.77,.04,1.06,1.43,1.23,2.19,1.75,14.29,7.12,8.75,2.32-4.33,12.22-.71,.18-1.16-.05-1.65-.25-3.11-1.28-6.23-2.54-9.34-3.83-.34-.14-.61-.41-.89-.64-.05-.04-.05-.21,.01-.26,3.75-3.18,8.39-5.3,12.25-8.36,.29-.M 82-1.21-1.12-1.75-1.48-2.48-1.1-4.96-2.18-7.45-3.26-.49-.21-.88-.48-1.05-1.03,4.52-3.07,9.9-5.28,14.98-7.46,.47-.2,.5-.83,.04-1.06-2.84-1.45-5.68-2.9-8.54-4.31-1.42-.73-1.45-1.21-.06-1.79,1.91-.8,3.83-1.59,5.8-2.28,3.69-1.31,7.45-2.47,11.16-3.76,.56-.21,.71-.74,.28-1.01-2.44-1.55-5.02-2.9-7.52-4.37-2.95-1.62-1.88-1.78,.62-2.65,5.24-1.7,10.6-3.14,15.97-4.54,4.71-1.12,3.96-1.12,.37-3.55-1.97-1.31-3.95-2.61-5.9-3.93-.65-.43-.48-.87,.39-1.14,6.11-1.75,12.33-3.1,18.61-4.29,2.01-.46,4.22-.49,6.07-1.41-.1-.7-.63-1.05-1.11M -1.43-2.31-1.81-4.63-3.61-6.94-5.41-.4-.31-.69-.66-.43-1.23,5.31-1.34,10.92-2.14,16.43-2.98l-26.45-4.09c2.6,2.31,5.63,4.24,8.07,6.73,.1,.13,0,.5-.09,.53-8.56,2.18-17.29,3.94-25.59,6.82-.07,.54,.29,.84,.7,1.11,1.88,1.24,3.76,2.46,5.62,3.7,.53,.55,3.45,1.77,2.33,2.55-6.92,2.07-13.82,4.23-20.57,6.67-1.31,.51-1.44,.97-.39,1.58,2.83,1.64,5.71,3.24,8.52,4.91,1.19,1.11-4.11,2.07-4.83,2.59-4.26,1.8-8.73,3.25-12.75,5.55-.87,.48-.82,.96,.17,1.46,2.8,1.47,5.78,2.72,8.47,4.38,.47,.71-.79,1-1.25,1.33-4.33,2.2-8.44,4.63-12.46,7.M 17-.53,.29-1.52,1.03-.61,1.45,3.12,1.41,6.4,2.65,9.43,4.19,.12,.58-.35,.83-.72,1.18-3.89,2.66-7.79,5.31-11.68,7.97-.44,.3-.96,.55-1.46,.37-3.32-1.18-6.6-2.41-9.9-3.63-.31-.12-.4-.65-.13-.86,4.03-3.36,8.41-6.34,12.72-9.33-.05-.2-.04-.32-.1-.36-3.11-1.71-6.72-2.71-9.87-4.3-.09-.52,.19-.85,.64-1.13,2.54-1.59,5.07-3.21,7.64-4.77,2.15-1.3,4.35-2.54,6.53-3.82,.48-.28,.5-.81,.04-1.04-2.9-1.58-6.13-2.64-8.91-4.41-.14-.1-.2-.44-.11-.53,4.56-2.96,9.5-5.28,14.62-7.45,.68-.45,4.21-1.3,3.24-2.27-1.97-1.35-4.11-2.44-6.18-3.63-3.M 64-2.02-3.44-1.96,.43-3.45,6.36-2.43,12.76-4.63,19.21-6.92-.6-1.65-2.79-2.33-4.08-3.47-1.47-1.21-3.46-1.99-4.5-3.58,.66-.68,1.6-.84,2.44-1.12,7.38-2.46,14.97-4.52,22.52-6.61l-23.06-3.57c-3.76,1.36-7.67,2.44-11.27,4.16-.56,.46,.14,1.01,.53,1.32,2.2,1.59,4.41,3.16,6.62,4.74,.39,.28,.79,.56,.79,1.04-.84,.76-2.06,1-3.15,1.39-6.58,2.54-13.24,4.69-19.28,8.26,2.6,2.25,6.1,3.58,8.74,5.62,0,.57-.41,.82-.88,1.04-5.56,2.64-10.86,5.59-16.05,8.68-1.5,.9-1.46,1.25,.2,2.06,2.48,1.29,5.15,2.29,7.51,3.78,.12,.1,.13,.46,0,.55-3.11,2M .29-6.58,4.1-9.79,6.23-1.68,1.08-3.28,2.23-4.9,3.37-.37,.27-.78,.57-.51,1.15,2.91,1.22,5.97,2.43,8.87,3.67,.3,.13,.47,.44,.77,.73-4.36,3.36-8.89,6.55-13.01,10.12,.11,.57,.5,.82,1.01,1,2.46,.88,4.92,1.75,7.37,2.64,.51,.28,1.69,.46,1.54,1.18-3.42,3.33-7.35,6.28-10.56,9.75-.37,.39-.24,.89,.32,1.06,3.6,.92,7.05,2.63,10.74,3.04,3.86-3.27,7.56-7.07,11.77-9.88,2.45,.46,4.74,1.71,7.1,2.53,1.41,.57,3.02,.87,4.17,1.84-.47,1.48-2.24,2.05-3.36,3.08-2.64,2.16-5.56,4.29-7.74,6.85,3.98,1.13,7.74,2.64,11.47,4.06,.02,.7-.43,1.1-.85M ,1.51-2.73,2.74-5.69,5.36-8.18,8.3,.42,.59,1.02,.81,1.64,1.03,3.08,1.08,6.15,2.18,9.22,3.27,.52,.18,.87,.47,.98,.99-1.38,2.08-2.77,4.18-4.17,6.29l8.02-5.43c-1.09-.51-2.27-.66-3.02-1.67,2.76-3.23,6.02-6.08,9.39-8.83,2.14,.21,3.86,1.5,5.85,2.23l12.07-8.17c-.76-.61-6.33-2.48-5.13-3.46,3.03-1.8,6.24-3.35,9.62-4.7,1.18-.47,2.55-.71,3.54-1.66-3.49-2.55-7.88-4.09-11.55-6.39,.43-1,1.63-1.09,2.54-1.52,3.96-1.35,7.93-2.69,11.89-4.03,.61-.2,1.24-.38,1.53-.92-3.15-2.55-7.34-3.88-10.63-6.33-.1-.07-.05-.46,.08-.53,5.78-2.37,12.1M 3-3.41,18.14-5.2-.09-.57-.44-.88-.88-1.14-1.74-1.01-3.48-2.03-5.21-3.05-1.46-1.09-3.54-1.59-4.39-3.23,6.88-2.11,14.06-3.07,21.1-4.52,.31-.1,.51-.64,.27-.81-1.92-1.35-3.86-2.69-5.78-4.03-1.21-.85-2.42-1.7-3.6-2.57-.1-.07-.03-.44,.1-.52,7.77-2.15,16.07-2.6,24.09-3.79,.64-.1,.82-.6,.36-.96-2.89-2.4-6.04-4.54-8.78-7.1-.57-.7,1.66-.89,2.09-1.01,5.75-.54,11.47-1.3,17.26-1.56,3.08-.17,6.18-.29,9.25-.61,.99-.64-.57-1.53-1.01-2.07Zm-72.06,69.36c-3.57,2.65-7.02,5.31-10.61,7.95-3.8-1.42-7.42-3.01-11.13-4.45-.39-.19-.66-.28-.8M 3-.74,3.38-3.3,7.25-5.88,11.34-8.87,3.97,1.65,7.59,3.25,11.11,5,.44,.22,.51,.81,.12,1.11Zm351.02-91.19s.03,.07,.05,.11l.14-.06c-.06-.02-.13-.04-.19-.05Zm-12.85-54.24s0,.04,.02,.06c.02,.01,.04,.01,.06,.02l-.08-.08Zm-59.92,47.74s.04,.11,.06,.16l.1-.12c-.05,0-.11-.03-.16-.04Zm-21.78-65.13l.12,.03v-.12l-.12,.09Zm-64.61,6.38l-.1,.09c.05,.01,.1,.01,.15,.02-.02-.04-.03-.07-.05-.11Zm-145.5,16.82l-.16,.1c.06-.01,.13-.03,.19-.04l-.03-.06Zm-76.32,167.02c-3.2-.95-6.4-2.3-9.68-2.91-.78,.32-1.07,.81-1.32,1.31-1.13,2.29-2.26,4.6-M 3.37,6.9-.62,.98-.63,2.74-2.05,2.88-3.72-.59-7.38-2.01-11.11-2.56-.83,.45-1.03,1.1-1.24,1.71-1.21,3.52-2.37,7.05-3.48,10.6,1.47,.29,2.93,.64,4.39,.99l10.82-7.32h.01c.36-.95,.77-1.89,1.33-2.82,.91,.07,1.51,.1,2.26,.39l13.51-9.15s-.05-.01-.07-.02Zm-5.52-28.69l.14,.16s.05-.07,.08-.1c-.07-.02-.15-.04-.22-.06Z"/><path class="cls-2" d="M639.76,708.51c-14.14-3.52-9.5-6.94-13.03,8.74-.03,.61-.63,1.12-1.28,.89-3.02-1.15-6.06-2.29-9.02-3.58-1.16-.38-1.44,.95-1.64,1.77-.62,2.75-1.21,5.51-1.85,8.26-.17,.72-.23,1.5-1.01,2.03-.8M 9,.07-1.54-.38-2.22-.7-2.64-1.28-5.26-2.61-7.89-3.91-.33-.16-.87-.01-1,.26-1.42,3.31-1.98,6.94-3.27,10.31-.19,.55-1,.71-1.6,.31-2.91-1.88-5.6-4.01-8.37-6.07-.49-.36-.92-.8-1.65-.89-.64,.28-.84,.79-1.03,1.3-.87,2.27-1.72,4.53-2.61,6.79-.5,.81-.77,2.77-2.09,2.24-3.74-2.52-6.89-5.82-10.64-8.34-.14-.08-.61-.02-.68,.08-.48,.69-.88,1.41-1.25,2.15l9.62,14.73c1.33-2.39,2.08-5.18,3.81-7.31,.36,.05,.56,.07,.84,.23,3.64,2.52,7.28,5.05,10.92,7.58-.94,3.34-2.88,6.66-4.18,9.99-.08,.19-.24,.39-.43,.53-.18,.12-.51,.25-.66,.2-1.88-M .84-3.41-2.22-5.13-3.31l4.26,6.51c.48-.91,.84-1.67,1.68-2.37,4.34,1.94,7.66,4.31,12.11,6.05,1.99-3.63,2.82-7.35,4.57-10.76,.39-.02,.69-.12,.87-.04,3.77,1.63,7.52,3.3,11.29,4.94,0-.01,.01-.03,.01-.04,1.05-3.86,2.27-7.68,3.32-11.54,.11-.42,.7-.62,1.26-.42,3.53,1.36,7.14,2.47,10.76,3.58,0-.01,0-.02,.01-.03,.67-4.33,2.3-8.63,2.38-13t-.02-.01c-3.74-1.24-7.48-2.47-11.23-3.71,.78-3.67,1.56-7.34,2.34-11.02,.11-1.07,.46-2.32,1.86-1.79,2.84,.97,5.64,1.98,8.51,2.86,.79,.25,1.46-.32,1.54-1.06,.58-4.15,1.65-8.25,1.87-12.42-.02,M 0-.03,0-.05,0Zm-34,41.17c-.27,.67-.6,1.76-1.56,1.51-3.94-1.63-7.72-3.69-11.32-5.82,1.38-3.62,2.86-7.31,4.18-10.93,.72-.21,1.19-.03,1.64,.19,3.38,1.74,6.79,3.41,10.29,4.91-1.08,3.38-2.14,6.76-3.23,10.14Zm17-13.36c-.55,2.4-1.16,4.8-1.76,7.19-.13,.53-.94,.84-1.56,.59-3.53-1.41-7.17-2.67-10.37-4.56,1.22-3.99,1.73-8.26,3.45-12.07,2.36,.72,8.06,3.04,11.08,4.48-.27,1.46-.5,2.92-.84,4.37Zm-75.55,74.48c3.43-1.17,7.01-2.1,10.35-3.51,.11-.97-.89-1.25-1.5-1.8-2.95-2.05-5.91-4.09-8.85-6.14-3.16-2.01-1.13-1.96,1.05-3.05,2.69-1.2M 2,5.43-2.38,7.89-3.89,.51-.72-.88-1.26-1.31-1.72-3.78-2.91-7.83-5.52-11.45-8.63-.21-.19-.08-.71,.22-.86,1.98-.99,3.93-2.03,5.87-3.08l-7.25-11.08c-.88-.81-2.46-1.47-2.19-2.86,.12,.02,.22,.02,.32-.01l-9.66-14.79c-1.67,1.21-3.33,2.28-4.77,3.07-.23-.1-.52-.16-.68-.31-4.29-4.13-8.71-8.17-12.45-12.66-.04-.3,.05-.69,.35-.85,2.41-1.67,4.82-3.35,7.23-5.03l-10.31-15.78c-.19-.28-.88-.31-1.19-.14-2.42,1.54-4.83,3.09-7.27,4.62-.97,.67-2.74,1.93-3.54,.37-3.99-5.31-8.2-10.47-11.95-15.95-3.78,1.21-7.89,.89-11.87,1.49-.36,1.34,1.02M ,2.35,1.63,3.46,2.93,3.98,5.88,7.94,8.82,11.92,.4,.77,1.48,1.41,.99,2.33-3.83,.48-7.74,.54-11.59,.85-.35,.02-.63,.46-.45,.73,3.36,4.7,7.26,9.01,10.83,13.57,.25,.53,2.14,2.2,1.13,2.45-3.01,.65-6.13,.28-9.19,.42-1.07,.02-2.14,.07-3.21,.1-.3,0-.72,.5-.58,.69,4.23,5.39,9.01,10.34,13.46,15.56,4.17,.09,8.3-.43,12.42-.81,.56-.07,1.88-.29,1.49-1.1-3.77-4.21-7.63-8.34-11.42-12.53-1.55-1.82-1.66-2.2,.89-2.37,2.92-.37,5.85-.72,8.76-1.14,1.58-.23,1.69-.54,.7-1.69-3.64-4.11-7.1-8.39-10.63-12.58-.45-.53-.97-1.04-1.06-1.72,.35-.5M 5,1.05-.63,1.68-.69,2.95-.28,5.83-.82,8.68-1.48,1.02-.24,1.52-.1,2.09,.55,.99,1.15,1.95,2.33,2.95,3.48,2.97,3.46,6.09,6.82,8.97,10.35,.7,1.49-8.93,2.75-10.32,3.47-.3,.09-.47,.61-.27,.84,1,1.14,1.98,2.31,3.04,3.42,2.6,2.75,5.21,5.49,7.88,8.2,2.4,2.42,1.73,2.22-1.3,3.01-2.91,.74-6.06,.95-8.95,1.72-.09,.92,.7,1.39,1.26,2.02,3.83,3.89,8.02,7.48,11.65,11.55,.15,.2,.03,.43-.27,.52-3.97,1.12-8.16,1.3-12.23,2.01-.89,.33,.03,1.18,.4,1.58,4.11,3.99,8.48,7.75,12.43,11.88,.08,.09-.1,.47-.24,.51-17.62,3.34-18.9-2.27-3.95,11.88,M .7,.92,4.41,2.88,1.89,3.57-4.41,.35-8.88,.48-13.3,.76-.63,.15-2.31-.21-2.23,.7,3.1,3.34,6.86,6.05,10.15,9.2,.72,.66,.09,1.03-.48,1.11-6.28,.19-12.4-.1-18.68-.49,.1,.41,.05,.78,.26,.99,2.86,2.91,6.07,5.49,9.07,8.25,.39,.41,1.36,1.12,.56,1.52-6.84,.05-13.7-.72-20.46-1.65-1.21-.09-2.85-.32-1.34,1.24,2.58,2.49,5.18,4.96,7.76,7.44,.52,.5,.98,1.02,1.44,1.54,.06,.07,.02,.22-.04,.31-2.89,.55-6.12-.42-9.06-.69-5.57-.78-11.1-1.73-16.65-2.6-.29-.01-.87-.08-.96,.26,.11,.3,.19,.63,.42,.86,2.56,2.64,5.15,5.26,7.72,7.9,.49,.5,.89M ,1.06,1.31,1.61,.07,.08,.07,.27,.02,.3-.57,.38-1.23,.15-1.85,.05-8.7-1.46-17.33-3.14-25.87-5.11-.9-.1-2.35-.65-3.11-.35-.07,.17-.18,.43-.07,.55,2.56,3.03,5.15,6.05,7.73,9.08,.45,.52,1.06,.99,1.13,1.68-.61,.38-1.24,.16-1.86,.02-9.63-2.05-19.15-4.39-28.53-7.07-2.12-.43-4.02-1.58-6.23-1.31,2.48,4.14,6.25,7.72,8.45,11.81-.17,.13-.43,.33-.59,.29-1.56-.33-3.12-.66-4.64-1.09-11.45-3.18-22.77-6.63-33.91-10.44-1.03-.21-2.47-1.18-3.35-.42,2.32,3.9,5.02,7.61,7.45,11.44,.17,.35,.51,.84,.35,1.19-.21,.1-.51,.26-.67,.21-15.54-4.9M 1-31.02-10.34-46.03-16.54-.84-.24-1.68-.94-2.55-.5-.29,.42,.42,1.31,.56,1.79,1.89,3.57,3.78,7.13,5.68,10.7,.25,.49,.49,.97,.29,1.51-2.03,.13-3.92-1.18-5.84-1.74-17.65-6.61-34.69-14.6-51.72-21.86-.13,.17-.32,.39-.27,.55,1.34,4.08,3.18,8,4.72,12.01,.33,.82,.61,1.65,.94,2.47,.3,.54-.56,.76-.92,.65-21.89-9.48-43.41-20.06-64.26-31.13-.88-.34-1.78-1.25-2.77-.87-.08,.02-.17,.19-.14,.27,1.39,5.38,2.93,10.72,4.36,16.09,.22,.76-.69,.9-1.19,.57-21.19-10.6-42.15-21.96-62.54-33.89-4.78-2.8-9.53-5.64-14.3-8.46-.52-.31-1.02-.7-1.M 76-.59-.49,1.59,.11,3.36,.21,5.02,.51,4.57,1.69,9.16,1.87,13.74-.61,.22-1.09,.06-1.53-.19-3.28-1.88-6.61-3.72-9.84-5.65-27.05-15.98-53.85-32.35-79.85-49.93-1.38-.78-3.52-3.05-3.46,.38,0,5.81,.03,11.63,.05,17.44,.06,.87-.09,1.85,.78,2.41,.72,.48,1.44,.97,2.18,1.43,29.68,18.88,60.26,36.56,91.31,53.31,.77,.42,1.61,.77,2.44,1.1,.11,.05,.57-.18,.57-.28-.1-5.61-1.48-11.11-2.15-16.67-.37-2.91,1.1-1.61,2.71-.85,25.89,14.25,52.14,28.6,79.26,40.39,.51-.46,.33-1,.19-1.5-1.27-5.15-3.27-10.22-4.06-15.45-.03,0-.07,0-.11-.01,.04,M 0,.08-.01,.12-.01,.05-.06,.09-.11,.14-.17,.03,.07,.04,.12,.02,.15,.97-.24,1.78,.39,2.61,.77,14.09,6.97,28.38,13.66,42.98,19.93,7.77,3.16,15.38,6.88,23.32,9.58,.85-.07,.46-1.05,.32-1.58-1.32-3.28-2.68-6.55-4.01-9.82-.42-1.02-.86-2.04-1.21-3.08-.09-.27,.01-.73,.24-.86,1.1-.25,2.22,.66,3.25,1,11.68,4.9,23.42,9.73,35.43,14.11,6,2.18,12.03,4.31,18.07,6.45,.6,.21,1.27,.29,1.92,.4,.08,.02,.29-.14,.28-.2-1.43-4.3-4.21-8.12-6.17-12.21-.17-.47-.62-1.03-.4-1.51,.12-.26,.35-.34,.65-.23,2.58,.91,5.17,1.81,7.75,2.74,12.65,4.54,2M 5.53,8.64,38.6,12.36,1.66,.25,4.91,2.01,2.72-1.15-2.29-3.53-4.84-6.93-6.99-10.56-.08-.15,.08-.39,.18-.57,12.62,3.04,25.25,7.39,38.17,10.13,1.42,.29,2.85,.73,4.29,.89,.13-.01,.33-.02,.37-.08,.08-.16,.2-.4,.11-.51-2.07-2.77-4.18-5.52-6.27-8.28-.63-.83-1.23-1.67-1.79-2.53-.11-.22,.2-.71,.52-.66,8.44,1.72,16.73,4.07,25.28,5.57,3.53,.68,7.08,1.28,10.63,1.9,.17,0,.49-.29,.38-.48-.42-1.46-10.55-10.79-8.49-10.82,9.34,1.42,18.66,3.24,28.09,4.41,1.02,.16,2.08,.36,3.13,.07,.16-.44-.1-.78-.44-1.1-2.3-2.24-4.6-4.48-6.89-6.73-3.M 18-2.93-2.27-2.81,1.42-2.41,7.41,1.07,14.89,1.67,22.35,2.35,.87,.08,1.42-.06,1.35-.32-.08-.29-.18-.63-.42-.85-1.68-1.53-3.41-3.03-5.1-4.56-1.33-1.2-2.66-2.42-3.93-3.66-.2-.2-.16-.53-.21-.82,7.19-.11,14.44,.73,21.67,.77,.5,.04,1.01-.09,1.28-.52-2.41-2.91-6.08-5.14-8.94-7.79-.45-.38-.83-.82-1.23-1.25-.06-.07-.09-.24-.03-.3,.51-.64,1.43-.39,2.15-.42,5.78,.12,11.61,.18,17.35-.35,.67-.52-.37-1.15-.75-1.54-2.63-2.16-5.29-4.3-7.92-6.46-.6-.66-1.85-1.08-1.63-2.1,5.56-.71,11.27-.51,16.78-1.54,.38-.88-.69-1.29-1.2-1.86-2.93-M 2.38-5.88-4.75-8.8-7.14-.38-.39-1.33-1.08-.69-1.57,4.48-.73,8.96-1.46,13.43-2.28,.79-.14,.94-.69,.34-1.22-4.37-3.85-9.05-7.32-13.22-11.38,.4-.27,.66-.58,.99-.66,3.66-.67,7.31-1.45,10.9-2.38,.5-.12,.97-.33,1.17-.88-4.22-4.06-9.01-7.58-13.13-11.74-.21-.23-.03-.69,.31-.79,3.93-.99,7.8-2.68,11.77-3.26,4.08,3.12,11.97,9.76,13.61,11.44-.17,.44-.53,.73-1.05,.92-3.29,1.21-6.64,2.32-9.89,3.64-.65,.55,.38,1.17,.76,1.57,3.64,2.88,7.3,5.75,10.93,8.63,.55,.43,1.32,.75,1.41,1.69-3.97,1.63-8.31,2.75-12.51,4.07,.02,.82,.71,1.22,1.M 29,1.65,2.86,2.13,5.74,4.24,8.61,6.36,.45,.48,2.11,1.26,1.63,1.94-4.55,1.79-9.63,1.91-14.33,3.16-.57,.58,.47,1.16,.87,1.54,3,2.24,6,4.46,9.01,6.67l11.13-7.53c-1.63-1.18-3.47-2.16-4.92-3.57-.36-.81,1.73-1,2.29-1.32Zm-206.65,40.05c.06,.03,.14,.06,.21,.08-.22,.12-.29,.09-.21-.08Zm147.12-14.3s-.08,.01-.12,.02c.04-.04,.08-.08,.12-.12v.1Zm49.6-70.53c-2.56,1.19-5.15,2.32-7.86,3.26-.79,.27-1.36,.23-1.84-.17-4.4-4.02-9.24-7.78-12.9-12.3,.23-.44,.78-.53,1.24-.68,2.98-.98,5.96-1.94,8.95-2.9,.67-.22,1.25-.11,1.79,.37,3.43,3.02M ,6.84,6.05,10.27,9.07,.93,.58,1.85,2.17,3.08,1.52-.83,.7-1.68,1.35-2.73,1.83Zm-10.66,60.35c-.58,.16-4.88,.25-4.17,1.08,1.36,1.4,3.07,2.45,4.61,3.65l8.56-5.79c-2.98,.44-5.97,.83-9,1.06Zm-12.72,11.09c-1.82,.43-.08,1.47,.66,2.1l3.32-2.24c-1.33,.05-2.66,.08-3.98,.14Zm-14.09,9.66c-.45,.74,.42,1.04,1,1.75l2.58-1.75c-1.19-.02-2.38,0-3.58,0Zm-13.82,8.52c-1.32-.15-2.64-.42-3.95-.17-.31,.5,0,.85,.34,1.18,.95,.92,1.91,1.84,2.86,2.75l4.96-3.35c-1.41-.12-2.81-.26-4.21-.41Zm.06-149.02s.05,.07,.07,.1c.02-.01,.05-.02,.07-.03l-.14-M .07Zm.04,53.67h-.05l.1,.06s-.04-.04-.05-.06Zm-6.45,94.41s-.01,.03-.02,.05l.08-.07s-.04,.01-.06,.02Zm-12.23,8.54c-2.74-.17-5.64-1.14-8.32-.89-.04,.2-.1,.46,.02,.6,2.63,2.93,5.36,5.79,7.95,8.76l10.66-7.22c-3.44-.41-6.87-.83-10.31-1.25Zm-5.97,9.28c-9.75-1.63-19.54-3.14-29.13-5.33-.59-.06-1.4-.35-1.94-.07-.09,.17-.24,.43-.16,.54,2.04,2.66,4.11,5.31,6.17,7.96,.36,.69,2.94,2.9,1.45,3.17-9.07-1.36-18.04-3.59-26.92-5.68-5.01-1.25-9.99-2.58-14.99-3.87-.51-.14-1.02-.27-1.65,.07,2.08,4.28,5.77,8.05,7.53,12.33-.63,.54-1.5,.18-M 2.22,.06-13.32-3.45-26.59-7.02-39.56-11.27-1.13-.09-11.09-4.42-9.5-1.78,2.24,4.25,4.61,8.47,6.79,12.76-.9,.62-1.77,.04-2.69-.15-17.11-5.24-33.91-11.06-50.39-17.46-2.19-.84-4.37-1.69-6.56-2.51-.44-.15-1.02-.09-1.09,.13-.06,.19-.17,.41-.1,.58,1.31,3.28,2.66,6.56,3.98,9.83,.54,1.34,1.04,2.67,1.53,4.02,.07,.17-.04,.39-.08,.58-.92,.72-2.93-.73-4.02-.94-22.25-8.28-43.85-17.32-65.22-27.12-.58-.26-1.14-.58-2-.48,.39,4.84,2.61,9.68,3.67,14.47,.2,.72,.46,1.46,.23,2.22-.24,.87-2.2-.35-2.79-.46-12.44-5.38-24.68-11.03-36.85-16.M 81-14.75-6.94-29.08-14.42-43.5-21.76-.46-.22-1.09,.12-1.05,.59,.13,1.39,.26,2.79,.45,4.18,.68,4.91,1.39,9.8,2.08,14.71,28.14,13.73,56.8,26.83,86.02,38.31,1.45,.15,.33-2.3,.26-3.11-1.19-4.42-2.51-8.82-3.63-13.25-.04-.19,.02-.46,.17-.6,.98-.5,2.24,.61,3.23,.86,22,9.35,44.67,17.93,67.48,25.63,1.42,.47,3.02,1.04,1.96-1.27-1.6-4.44-3.85-8.71-5.06-13.26,0-.12,.33-.39,.52-.39,1.28-.04,2.3,.58,3.39,.97,18.89,6.32,38.25,13.81,57.87,17.64,.07-.67-.35-1.24-.66-1.82-1.57-2.98-3.15-5.95-4.73-8.92-.32-.93-2.4-3.24-.25-3.02,17.23M ,5,34.45,9.62,52.12,13.19-2.58-3.97-5.16-7.95-7.72-11.92-.14-.29-.48-1.02-.04-1.15,12.05,2.14,23.93,5.32,36.08,7.15l5.3-3.58c-1.67-2.1-3.44-4.13-4.99-6.31-.08-.12,.1-.37,.21-.54,4.01,.17,8.23,1.33,12.31,1.75l12.32-8.34c-1.22-.14-2.43-.33-3.63-.53Zm-49.84,23.47s.05,.07,.07,.11l.15-.06c-.07-.02-.15-.03-.22-.05Zm-186.08-66.45h-.01v.02c.1,.02,.16,0,.17-.04-.06,.01-.11,.01-.16,.02Zm-72.61,15.49s-.05-.03-.07-.04l.08,.08s0-.03-.01-.04Zm-8.11-60.17h.03s.02-.07,.03-.1l-.06,.1Z"/><path class="cls-2" d="M807.19,522.8c-1.38-1.M 06-2.79-1.97-4.04-3.21,.38-.32,.61-.59,1.02-.75l-2.75-.42c.4,.28,.54,.64,.82,1.1-7.52,3.82-15.49,7.01-22.43,11.46,2.2,2.29,5.35,3.64,7.93,5.56,.44,.28,1,.26,1.51,0,5.63-2.82,11.19-5.61,17.03-8.06,1.62-.71,3.53-1.05,4.83-2.21,.34-.31,.28-.35-3.92-3.48Zm-36.6-9.15h-.01c-2.02,1.15-4.04,2.31-6.06,3.45-.65,.36-1.21,.88-2.29,.89-2.24-1.85-4.51-3.82-6.6-5.93-.34-.34-.26-.84,.2-1.13,2.78-1.78,5.59-3.6,8.52-5.19l1.98-12.77c-6.23,3.25-11.79,7.21-17.85,10.61-2.64-2.27-3.72-5.23-6.13-7.58-1.12,.18-1.73,.79-2.42,1.28-5.63,4.01-M 11.35,7.95-16.68,12.23-.71,.43-1.71,1.69-2.55,.91-1.5-2.29-2.95-4.59-4.41-6.89-.26-.41-.92-.47-1.36-.14-6.05,4.53-11.27,9.86-16.86,14.81-.36,.32-1.13,.17-1.29-.24-.8-2.15-1.26-4.4-1.94-6.59-.08-.28-.25-.68-.52-.77-.85-.21-1.28,.63-1.85,1.04-4.57,4.39-9.22,8.73-13.48,13.31-.47,.51-.82,1.14-1.88,1.26-1.62-2.6-1.5-5.62-2.84-8.28-.65-.05-1.03,.23-1.36,.59-1.89,2.1-3.8,4.18-5.67,6.29-2.77,3.05-5.34,6.26-8.2,9.22-.13,.12-.5,.16-.71,.11-.62-.18-.68-.85-.83-1.36-.66-2.31-1.31-4.61-1.99-6.92-.05-.18-.29-.4-.5-.46-.6-.08-1.0M 8,.53-1.44,.92-4.62,4.97-8.37,10.63-12.95,15.59-1.35,.42-2.03-4.68-2.46-5.69-.43-1.16-.5-3.1-1.14-4.02-.95-.05-1.36,.88-1.91,1.46-2.8,3.68-5.58,7.37-8.38,11.05-.63,.72-.99,1.73-2.06,1.91-1.55-2.9-1.31-6.32-2.11-9.45-.12-.63-.14-1.3-.79-1.79-.75,.14-1.02,.66-1.34,1.11-2.48,3.46-4.95,6.92-7.43,10.38-.53,.74-1.12,1.46-1.69,2.19-.06,.08-.27,.16-.35,.13-.77-.16-.81-.96-.96-1.58-.69-3.72-.61-7.59-1.84-11.18-1.19,.04-1.59,1.3-2.29,2.07-2.33,3.27-4.63,6.56-6.96,9.84-.55,.6-.89,1.56-1.9,1.32-1.07-4.54-1.16-9.2-1.7-13.81-.31M -1.76-1.96,.26-2.36,.92-2.7,3.59-5.3,7.25-7.98,10.85-.1,.14-.45,.17-.7,.21-.05,.01-.19-.12-.22-.2-1.05-4.71-.83-9.68-1.18-14.48-.37-2.48-.59-2.79-2.27-.79-2.81,3.55-5.35,7.27-8.27,10.72-.1,.11-.47,.08-.72,.08-.46-.09-.39-.77-.48-1.13-.37-4.95-.83-9.89-.77-14.85-.19-.86,.45-3.91-.92-3.24-3.18,3.27-5.87,6.97-8.85,10.41-.42,.39-1.03,1.28-1.63,1.25-.12-.03-.29-.11-.31-.19-.12-.52-.29-1.05-.3-1.57-.1-4.31-.18-8.62-.25-12.92-.04-2.27-.04-4.53-.07-6.79,0-.5-.25-.83-.53-.74-.34,.12-.75,.25-.95,.47-2.86,3.13-5.69,6.28-8.55,M 9.42-.45,.35-1.09,1.35-1.69,1.15-.11-.04-.26-.1-.28-.17-.49-2.19-.19-4.53-.28-6.76,.05-5.28,.15-10.56,.21-15.84-.13-.83,.33-2.29-.62-2.65-.06-.03-.27,.02-.34,.08-14.27,12.73-12.14,16.78-11.53-4.56,.15-4.62,.28-9.25,.42-13.88,.01-.24-.21-.38-.53-.38-4.33,2.72-7.86,6.85-12.08,9.86-.13,.1-.49,.03-.73,0-.34-.09-.33-.56-.35-.84,.26-10.67,1.4-21.31,2.3-31.93,.02-.29-.15-.6-.27-.89-.03-.06-.29-.12-.37-.08-2.1,.42-14.06,10.99-14.4,8.86,.53-7.27,1.55-14.59,2.12-21.89,.41-5.59,1.74-11.26,2.03-16.76-1.43-.01-2.46,1.06-3.67,1.M 68-3.79,2.24-7.59,4.48-11.39,6.71-.52,.13-1.36,.29-1.26-.65,1.38-12.03,2.78-24.04,5.04-35.95,.35-2.62,1.26-5.37,1.01-7.99-.05-.13-.47-.29-.6-.24-.95,.38-1.9,.79-2.82,1.23-4.43,2.02-8.71,4.4-13.23,6.2-1.35,.05-.67-1.61-.67-2.43,.99-6.09,1.9-12.18,3.02-18.25,1.38-7.46,2.95-14.89,4.45-22.33,.55-2.76,1.14-5.52,1.71-8.28,.02-1.62-2.3-.06-3.13,.07-5.19,1.7-10.21,4.09-15.52,5.36-1.01,.19-.38-2.02-.4-2.59,2.74-14.41,6.1-28.66,9.51-42.93,.97-4.66,2.74-9.2,3.35-13.94-.39-1.03-1.94-.23-2.75-.12-5.37,1.42-10.73,2.86-16.1,4.27-M .64,.05-1.7,.6-2.06-.18,3.79-18.37,9.27-36.53,14.26-54.66,1.22-4.31,2.57-8.59,3.84-12.88,.15-.52,.19-1.06,.26-1.59,.04-.3-.41-.66-.76-.6-6.98,1.13-13.96,2.33-20.94,3.48-.53,.09-1.08-.32-1.01-.75,6.83-27.37,16.55-54.1,25.08-81.03-7.54,.71-15.1,1.12-22.68,1.06-.86,.06-1.84-.13-2.57,.41-8.14,26.46-16.24,53.03-22.36,80.01,.09,.64,1.01,.72,1.54,.75,5.93,0,11.86,0,17.79-.01,1.93-.16,2.81-.02,2.29,1.52-5.99,21.92-11.35,44.02-15.83,66.29-.04,.74-.47,2.1,.46,2.34,6.45,.57,12.63-1.88,18.84-3.12,1.85-.16,.76,1.9,.71,2.91-3.46M ,15.22-6.55,30.54-9.29,45.91-.64,3.52-1.23,7.04-1.82,10.56-.11,.63-.28,1.28,.26,1.99,6.21-1.35,12.07-4.23,18.2-5.91,.32-.08,.87,.24,.83,.51-2.01,13.69-4.83,27.26-6.42,41.01-.57,3.63-.9,7.28-1.17,10.94,.47,1.11,1.89-.02,2.66-.23,3.87-1.74,7.75-3.49,11.62-5.23,.76-.29,3.4-1.91,3.46-.35-2.07,14.76-3.83,29.55-4.71,44.42,.42,1.7,2.85-.61,3.77-.87,3.64-2.05,7.26-4.11,10.88-6.18,.47-.26,.94-.38,1.5-.19,.33,.96,.1,1.92-.04,2.88-1.39,11.88-2.06,23.85-2.39,35.8,.04,.86,.76,.84,1.28,.6,4.3-2.73,8.26-5.92,12.57-8.61,.31-.12,.9M 4-.02,.89,.36-.07,2.9-.02,5.81-.25,8.71-.56,8.36-.77,16.78-.44,25.14,.65,.3,1.08,.08,1.47-.24,2.81-2.32,5.63-4.65,8.44-6.97,.7-.43,3.3-3.33,3.73-1.8-.01,8.83-.34,17.67,.04,26.5,.13,2.41-.11,4.25,2.46,1.8,3.28-2.97,6.11-6.44,9.67-9.08,.09-.06,.61,.12,.62,.22,.1,.85,.19,1.71,.19,2.57-.05,7.33,.23,14.65,.79,21.96,.05,.56,.02,1.15,.7,1.32,.66-.13,1.13-.92,1.63-1.34,2.51-2.8,5.01-5.61,7.52-8.41,.49-.42,.99-1.2,1.64-1.32,.21,.1,.53,.24,.53,.38,.63,7.37,.36,14.99,1.85,22.2,.36,.27,.95-.3,1.19-.5,2.27-2.8,4.51-5.63,6.76-8.M 43,.58-.73,1.2-1.44,1.84-2.13,.17-.12,.87-.16,1.04,.09,.77,4.33,.74,8.82,1.27,13.2,.17,1.93,.44,3.86,.69,5.79,.02,.18,.23,.34,.36,.51,1.08,.23,1.88-1.97,2.61-2.66,2.04-2.78,4.09-5.57,6.15-8.34,.39-.41,1.06-1.32,1.68-.77,.74,3.66,.84,8.17,1.57,12.17,.17,1.5,.52,2.98,.8,4.47,.01,.08,.15,.21,.21,.21,.25-.01,.62,0,.73-.12,2.74-3.53,5.04-7.36,7.62-11.01,1.76-2.71,2.28-.96,2.49,1.23,.55,4.03,.96,8.16,1.85,12.13,.71,.16,1.09-.05,1.37-.47,2.25-3.44,4.51-6.87,6.78-10.29,1.15-1.66,2.29-3.59,2.87-.28,.38,3.44,1.26,6.82,1.96,1M 0.22,.09,.27,.26,.72,.58,.78,.23,0,.59,0,.68-.1,.43-.54,.82-1.1,1.19-1.67,2.16-3.35,4.3-6.71,6.47-10.05,.62-.75,.95-1.79,2.09-1.84,1.01,3.57,1.85,7.16,2.84,10.73,.07,.26,.49,.45,.74,.67,.91-.47,1.18-1.22,1.62-1.88,2.38-3.62,4.75-7.25,7.15-10.86,.41-.47,.79-1.31,1.43-1.47,.23,.06,.57,.14,.62,.27,.39,1.14,.72,2.3,1.07,3.45,.62,1.98,1.25,3.96,1.9,5.93,.04,.12,.41,.19,.63,.23,3.52-3.68,6.39-8.88,9.61-13.01,.67-.76,1-1.76,2.19-1.84,.75,1.15,2.73,9.75,4.04,8.61,4.16-4.84,7.71-10.15,11.91-14.98,.52-.48,1.42-2.06,2.16-1.17M ,.76,1.95,1.52,3.9,2.26,5.86,.27,.73,.5,1.46,1.22,2.01,.87-.21,1.19-.83,1.64-1.36,3.65-4.26,7.29-8.53,10.95-12.8,.73-.62,1.33-1.98,2.38-1.95,.22,.06,.46,.26,.54,.44,.99,2.31,1.54,4.93,3.02,6.98,.39,.21,.96-.33,1.23-.54,4.2-4.62,8.64-9.09,13.19-13.49,.59-.57,1.05-1.26,2.14-1.55,2.31,2.1,3.16,4.93,5.49,7.09,1.41-.23,2.18-1.46,3.18-2.33,4.28-4.16,8.83-8.13,13.6-11.94,.55-.43,.99-1.01,2-1.07,1.82,2.2,3.67,4.44,5.53,6.68,.24,.18,.47,.14,.84,.21,6.63-4.7,13.01-9.77,19.93-14.07,.43-.27,1.09-.18,1.41,.19,1.83,2.38,4.38,4.3M 6,5.68,7.02-7.03,4.41-13.58,9.46-20.37,14.13-.88-.19-1.26-.64-1.67-1.05-1.67-1.69-3.31-3.39-4.97-5.09-.24-.25-.78-.28-1.08-.07-5.55,4.31-10.98,8.92-16.05,13.65-.49,.48-.89,1.07-1.85,1.22-2.56-1.7-3.41-4.61-5.96-6.36-.39-.22-.64,0-4.05,3.39-.42,.42-.85,.84-1.27,1.26-3.16,3.22-6.31,6.44-9.49,9.66-.48,.48-.84,1.1-1.93,1.26-1.97-2.09-3.32-4.58-5.19-6.81-.83,.09-1.18,.54-1.54,.97-3.32,4.06-6.64,8.11-9.96,12.17-.92,.75-2.23,3.99-3.55,2.27-1.23-2.16-2.24-4.41-3.59-6.49-.79-.4-1.43,.74-1.92,1.19-3.93,4.77-7.24,9.84-10.97,1M 4.69-.17,.22-.89,.19-1.03-.05-1.37-2.33-2.65-4.68-3.93-7.06-.14-.25-.83-.26-1.02-.01-3.3,4.39-6.17,9.07-9.21,13.64-.41,.51-.69,1.32-1.51,1.21-.1,.01-.27-.09-.31-.18-.89-1.91-1.77-3.82-2.66-5.74-.42-.9-.54-1.9-1.45-2.71-1.4,.57-1.89,2.22-2.74,3.36-1.88,3.11-3.73,6.22-5.6,9.32-.52,.62-.77,1.9-1.7,1.96-.23-.04-.5-.23-.58-.41-1.12-2.65-2.21-5.3-2.91-8.05-.17-.63-.3-1.28-.95-1.74-1,.37-1.37,1.52-1.97,2.32-2.52,3.87-4.51,8.17-7.36,11.81-1.45,.58-2.85-7.86-3.4-9.17-.29-.69-.42-1.98-.99-2.4-1.06,.13-1.37,1.46-1.97,2.19-2.0M 4,3.39-4.05,6.8-6.09,10.2-.27,.45-.46,1-1.22,1.13-.54-.39-.69-.93-.81-1.45-.88-3.92-1.83-7.84-2.83-11.73-.02-.08-.16-.22-.22-.21-1.05,0-1.35,1.18-1.9,1.86-1.95,3.2-3.87,6.4-5.82,9.59-.34,.57-.57,1.22-1.41,1.59-.23-.24-.63-.46-.69-.72-.99-4.24-2.1-8.45-2.7-12.74-.16-.49-.07-1.61-.63-1.74-.97-.12-1.26,.89-1.76,1.5-2.35,3.51-4.54,7.12-6.98,10.56-.12,.14-.48,.24-.69,.2-.18-.02-.4-.26-.43-.43-.56-2.98-1.12-5.96-1.63-8.95-.66-2.77-.43-5.75-1.75-8.31-1.19,.69-1.64,1.65-2.41,2.68-2.18,2.96-4.13,6.09-6.47,8.94-.17,.11-.86,.M 17-.99-.13-1.08-4.97-1.97-9.98-2.41-15.04-.13-1.5-.46-2.99-.71-4.48-.7-.6-1.43,.69-1.91,1.11-2.55,3.17-4.98,6.42-7.59,9.54-.29,.34-.77,.51-.98,.33-.18-.14-.41-.3-.43-.48-.2-1.39-.33-2.78-.52-4.17-1.06-6.07-1.14-12.26-2.2-18.28-.72-.15-1.09,.16-1.41,.51-3.1,3.23-5.85,6.81-9.19,9.81-.09,.08-.61-.01-.64-.09-.22-.51-.45-1.02-.5-1.55-.86-8.13-1.02-16.38-2.06-24.48-.73-.61-1.51,.53-2.08,.91-2.46,2.29-4.9,4.59-7.35,6.88-1.79,1.63-3.34,3.4-3.31-.49-.4-9.26-1-18.51-1.13-27.77,0-.08-.13-.2-.22-.21-1.05-.25-1.72,.81-2.52,1.29M -2.69,2.12-5.37,4.24-8.06,6.36-.85,.6-2.63,2.51-2.96,.49-.13-2.8-.23-5.6-.32-8.4-.27-7.65-.26-15.3,.01-22.94-.08-.8,.32-1.9-.38-2.46-.98-.31-1.83,.73-2.67,1.11-3.04,1.97-6.06,3.94-9.1,5.91-.75,.38-2.22,1.8-2.77,.52-.18-8.62,.22-17.24,.43-25.85,.06-4.41,.58-8.82,.5-13.23-.53-1.03-1.9,.13-2.64,.4-3.5,1.82-6.98,3.66-10.49,5.48-.86,.19-2.4,1.69-3.04,.64-.05-11.31,1.24-22.59,2.12-33.86,.31-3.54,.68-7.09,1.02-10.63,.06-.66,.15-1.58-.77-1.52-5.67,2.14-11.11,4.76-16.93,6.72-1.3,4.79-.7,9.84-1.21,14.76-.53,10.22-.85,20.46-.M 72,30.69,.35,3.34,10.14-2.36,12.03-2.99,1-.23,3.88-2.58,4.22-.86-.02,2.04,0,4.09-.09,6.14-.46,10.55-.39,21.11,.14,31.66,.15,.77-.24,2.66,1.11,2.25,4.14-2.13,7.99-4.76,12.01-7.1,.54-.29,1.53-.93,2.05-.34,.55,10.96,.33,24.04,1.71,34.84,.6,.83,1.66-.13,2.26-.52,2.58-1.9,5.14-3.81,7.71-5.71,.98-.47,3.11-3.18,3.81-1.42,.33,4.09,.64,8.17,.95,12.26,.51,5.91,.6,11.87,1.84,17.69,.57,.55,1.41-.24,1.87-.61,3.19-2.78,6.22-5.7,9.51-8.36,.19-.15,.97,.07,1.02,.28,.09,.43,.21,.85,.26,1.27,.62,5.8,1.21,11.6,1.86,17.39,.4,2.43,.51,5M .01,1.31,7.34,.85,1.07,1.81-.69,2.5-1.19,2.27-2.4,4.53-4.82,6.8-7.23,.51-.54,1.57-1.9,2.18-.78,1.15,7.47,2.14,15.02,3.63,22.41,.91,1.35,1.94-.6,2.58-1.26,1.89-2.36,3.77-4.73,5.66-7.08,.71-.86,1.16-1.88,2.49-1.77,1.21,6.62,2.39,13.02,3.73,19.56,.41,1.4,1.46,.46,1.98-.27,2.54-3.41,4.72-7.11,7.52-10.31,.12-.09,.56-.08,.65,.09,1.86,5.82,2.18,11.98,4.39,17.71,.96-.12,1.27-.96,1.76-1.65,1.76-2.79,3.5-5.58,5.26-8.37,.5-.68,1.4-2.76,2.34-1.54,1.2,4.65,2.26,9.3,3.5,13.94,.15,.35,.33,.96,.74,1.08,.22,0,.57-.02,.64-.13,10.71-M 16.73,6.04-16.72,12.47,1.18,.7-.06,1.05-.35,1.27-.77,1.07-1.98,2.14-3.96,3.21-5.93,1.23-2.15,2.2-4.46,3.7-6.44,.22-.27,.84,.01,.95,.18,1.32,3.61,2.51,7.26,3.86,10.86,.06,.17,.34,.35,.56,.4,.98,0,1.15-1.31,1.66-1.95,1.83-3.36,3.65-6.71,5.47-10.07,.32-.59,.57-1.22,1.27-1.61,.1,.03,.26,.03,.3,.09,1.96,3.3,2.54,7,4.42,10.31,.86-.12,1.1-.62,1.38-1.1,2.15-3.84,4.3-7.67,6.47-11.49,1.84-3.28,2.13-1.6,3.26,.82,1.03,1.96,1.55,4.25,3.03,5.94,.96,.38,1.31-1.15,1.8-1.71,11.13-18.41,5.75-14.8,13.51-5.12,3.62-4.88,6.4-10.33,9.93-M 15.29,.53-.78,1.06-.49,1.51-.06,1.25,1.79,2.46,3.59,3.71,5.37,.29,.43,.95,1.03,1.48,.63,1.08-1.48,2.13-2.98,3.16-4.49,2.5-3.7,5.15-7.32,8-10.85,.31-.39,1.03-.39,1.34-.02,1.42,1.7,2.83,3.4,4.25,5.11,.3,.36,.68,.64,1.38,.72,4.02-4.79,7.97-9.69,11.98-14.51,.43-.52,.8-1.12,1.78-1.34,2.2,2.07,3.84,4.38,6.47,6.16,4.87-4.63,9.4-9.48,14.15-14.21,.5-.5,.94-1.07,1.93-1.19,2.15,1.86,4.34,3.75,6.52,5.66,.15,.13,.14,.38,.21,.6-4.76,4.62-9.3,9.49-13.95,14.23-.34,.35-.6,.7-.46,1.28,2.34,1.63,5.05,3.21,7.46,4.7,.98-.17,1.37-.78,1.M 85-1.27,4.18-4.36,8.33-8.74,12.82-12.9,.91-.97-1.06-1.6-1.65-2.17-1.85-1.25-3.71-2.49-5.3-3.9,.05-.28,.01-.53,.14-.68,1.85-2.12,13.88-12.2,17.29-14.52,3.05,1.62,4.89,4.34,8.07,5.83,6.58-4.7,13.42-9.32,20.22-13.66,2.7,1.36,5.22,4,7.8,5.75,.79,.54,1.81-.04,2.54-.45,4.66-2.68,9.38-5.31,14.24-7.65l-16.21-2.51ZM486.86,148.09l-.03,.12s.08-.01,.12-.01l-.09-.11Zm-39.59,265.75s.05-.02,.07-.02c0-.01,0-.03,.01-.04l-.08,.06Z"/><path class="cls-2" d="M508.81,221.8s-.02,.03-.03,.05c-.02,0-.03,.01-.05,.01l.08-.06Z"/><path class="M cls-2" d="M575.14,264.55s-.01,0-.02,.01c.01-.02,.01-.03,.02-.05v.04Z"/><path class="cls-2" d="M595.35,494.65h-.05s-.02-.05-.03-.07l.08,.07Z"/><path class="cls-2" d="M768.33,480.02l-.4,2.63c-1.07-2.39-2.47-.87-4.1-.09-7.3,3.78-13.89,8.48-20.9,12.54-.72-.1-1.02-.45-1.25-.85-1.09-1.85-2.17-3.7-3.27-5.55-.33-.56-.55-1.2-1.25-1.58-.86,.09-1.41,.59-2.01,1.01-5.04,3.58-10.16,7.09-14.87,10.95-1.44,1.01-2.53,2.5-4.35,2.83-1.2-2.72-1.15-5.56-1.94-8.28-.95-.19-1.61,.56-2.33,1.05-5.73,4.4-10.77,9.33-16.18,13.99-.35,.24-1.12,.0M 8-1.25-.33-.51-2.55-.92-5.11-1.37-7.67-.03-.14-.36-.27-.57-.36-.36-.02-.73,.27-1,.48-4.64,4.34-9.28,8.68-13.92,13.02-.78,.73-1.55,1.47-2.34,2.2-.25,.24-.88-.07-.95-.27-.54-2.77-.87-5.56-1.47-8.3-.05-.17-.35-.3-.57-.4-.72,.08-1.44,1.04-1.99,1.49-4.04,4.31-8.07,8.63-12.1,12.94-.79,.65-1.36,1.91-2.51,1.87-.06,0-.18-.14-.2-.22-.84-3.04-1.24-6.15-1.76-9.25-.03-.18-.24-.34-.39-.5-.69-.34-1.53,.9-2,1.37-3.29,3.81-6.58,7.62-9.86,11.44-1,1.15-1.92,2.36-2.96,3.46-.31,.33-.8,.46-1.01,.26-.16-.15-.4-.31-.43-.49-.4-2.24-.76-4.4M 8-1.15-6.72-.19-1.06-.41-2.13-.66-3.18-.04-.16-.31-.38-.48-.38-1.04,.2-1.57,1.44-2.27,2.14-2.75,3.45-5.48,6.91-8.23,10.36-.49,.43-.88,1.32-1.59,1.33-.41,.01-.45-.41-.55-.71-.88-3.83-.63-7.72-1.4-11.55-.01-.09-.18-.24-.25-.24-1.02,.05-1.45,1.14-2.07,1.78-2.71,3.47-5.39,6.96-8.1,10.43-.35,.44-.79,.84-1.22,1.25-.05,.04-.35,.02-.37-.03-.16-.28-.36-.57-.38-.87-.23-3.87-.42-7.74-.64-11.62-.04-.63-.17-1.27-.28-1.9-.37-.27-1.01,.26-1.26,.5-3.33,4.02-6.3,8.33-9.74,12.25-.24,.19-.92,.2-.9-.2-2.52-16.39,3.86-23.32-10.15-5.66-M .62,.59-1.16,1.72-1.95,1.96-.22-.08-.57-.21-.58-.34-.11-1.07-.22-2.14-.21-3.21,.02-4.53,.09-9.05,.12-13.58,0-.53-.1-1.06-.18-1.59-.01-.06-.18-.13-.29-.16-.52-.18-.83,.4-1.18,.68-2.5,2.94-4.98,5.88-7.47,8.83-.92,.85-1.43,2.4-2.92,2.21-1.74-22.57,6.44-29.46-9.84-11.79-2.82,3.15-2.47,.84-2.42-1.85,.3-6.24,.61-12.49,1.16-18.71,.07-.97,.1-1.93,.13-2.9-.06-.37-.75-.24-.93-.14-3.51,3.07-6.72,6.46-10.12,9.64-.68,.53-1.21,1.38-2.2,1.06,.34-7.73,1.04-15.48,1.78-23.19,.16-1.71,.28-3.43,.41-5.14,0-.09-.08-.26-.15-.27-1.03-.25-M 1.7,.81-2.47,1.32-3.46,2.85-6.71,5.95-10.3,8.65-.14,.1-.48,.05-.72,.02-.43-5.49,1.09-11.38,1.33-16.99,.35-5.27,1.5-10.47,2.12-15.72,0-.09-.09-.27-.17-.28-1.04-.2-1.78,.79-2.6,1.26-3.81,2.74-7.53,5.58-11.39,8.25-.16,.1-.53,.13-.71,.05s-.36-.34-.34-.51c.44-3.97,.9-7.93,1.38-11.9,.82-8.6,3.23-17.01,3.87-25.62,.01-.09-.47-.33-.58-.28-4.38,2.44-8.51,5.29-12.83,7.86-.63,.38-1.33,.7-2.04,1-.11,.05-.56-.16-.56-.24,.46-4.18,.97-8.35,1.6-12.51,1.74-10.15,3.82-20.23,5.98-30.3,.26-1.73-1.53-.76-2.36-.35-4.84,2.34-9.53,4.97-14.M 46,7.09-.29,.12-.88-.22-.83-.5,.26-1.49,.55-2.98,.8-4.47,2.64-15.29,6.59-30.35,10.18-45.44-.4-1.5-3.13,.65-4.09,.69-4.88,1.78-9.58,4.05-14.56,5.53-.3,.08-.6-.08-.58-.33,3.24-17.19,8.16-34.05,12.93-50.91,.62-2.09,1.2-4.19,1.78-6.29,.14-.52,.28-1.06-.33-1.59-5.59,1.41-11.15,3.11-16.71,4.65-1.02,.1-3.91,1.73-3.74-.23,6.36-22.81,12.96-45.65,20.88-67.96,7.44-1.42,14.85-3.01,22.3-4.34,.39-.06,.85,.28,.75,.56-2.31,6.52-4.7,13.02-7.01,19.54-5.06,15.44-11.11,30.83-14.98,46.53,.52,.63,1.49,.17,2.15,.05,6.04-1.78,12.07-3.67,1M 8.11-5.39,.81,.59,.33,1.4,.16,2.17-2.01,6.25-4.13,12.49-6.05,18.76-3.25,10.76-6.37,21.57-9.38,32.39-.37,1.37-.63,2.76-.93,4.13-.05,.25,.59,.55,.91,.43,5.45-2.08,10.8-4.4,16.21-6.58,2.25-.83,2.28-.19,1.75,1.89-4.46,15.6-9.04,31.2-12.02,47.1-.03,.28,.58,.51,.93,.34,4.72-2.25,9.28-4.79,13.94-7.16,.78-.29,1.65-1.01,2.48-.92,.19,.24,.44,.52,.31,.85-.37,1.47-.76,2.95-1.12,4.43-2.68,10.63-5.07,21.35-7.33,32.07-.38,1.8-.58,3.62-.86,5.44-.01,.09,.07,.27,.15,.28,.92,.27,1.65-.52,2.39-.89,3.49-2.2,6.97-4.42,10.46-6.62,.96-.45M ,1.85-1.56,2.97-1.46,.45,.16,.46,.72,.32,1.1-2.01,12.14-5.65,24.09-6.49,36.38,.67,.15,1.1-.08,1.51-.38,2.74-2.07,5.49-4.13,8.25-6.2,.86-.4,5.47-4.99,5.32-2.5-1.68,9.15-3.25,18.31-4.45,27.54-.04,.88-1.05,4.21,.36,4.12,4.01-2.95,7.6-6.4,11.46-9.55,.62-.48,2.35-1.95,2.17-.17-1.47,9.16-3.09,18.34-3.58,27.6,1.03,.21,1.51-.6,2.2-1.16,3.21-3.05,6.39-6.11,9.61-9.16,.32-.3,.8-.51,1.22-.74,.07-.04,.32,.02,.36,.09,.64,3.61-.97,8.08-1.11,11.84-.41,4.08-.69,8.17-1,12.25,.66,1.6,2.63-1.53,3.32-2.02,2.35-2.5,4.7-4.99,7.06-7.48,.7M 1-.55,1.24-1.72,2.28-1.49,.07,.01,.16,.17,.16,.26-.13,6.88-1.18,13.76-1.34,20.62,.53,1.38,2.04-1.02,2.6-1.45,2.93-3.23,5.84-6.46,8.77-9.69,.3-.32,.62-.68,1.23-.61,.34,.59,.2,1.21,.17,1.83-.13,5.48-.78,11-.61,16.46,.72,1.03,1.49-.45,2.11-1.01,3.31-3.65,6.23-7.66,9.77-11.08,.11-.06,.61,.05,.66,.16,.08,.53,.18,1.07,.16,1.6-.04,4.63-.54,9.26-.12,13.88,.01,.14,.33,.28,.53,.38,4.11-3.58,7.15-8.65,11.06-12.59,1.6-1.43,1.31,1.18,1.31,2.1,.05,3.66,.11,7.32,.19,10.98,0,.18,.21,.36,.34,.53,.55,.42,1.36-.62,1.73-1.05,3.48-4.12M ,6.92-8.24,10.61-12.19,.11-.12,.47-.12,.71-.13,.37,.3,.28,1.05,.38,1.51,.19,2.91,.36,5.81,.55,8.72,.19,.6-.22,1.98,.66,2.01,1-.09,1.45-1.18,2.14-1.77,2.68-2.97,5.34-5.95,8.05-8.91,1.35-1.48,2.72-2.95,4.17-4.36,.62-.6,.95-1.57,2.29-1.51,.78,.62,.45,1.41,.49,2.12,.33,2.88-.17,5.89,.75,8.65,.48,.89,1.8-.88,2.28-1.2,4.34-4.39,8.67-8.8,13.01-13.19,.58-.59,1.24-1.13,1.92-1.66,.09-.07,.64,.03,.66,.11,.74,3.04,.63,6.22,1.03,9.32,.38,1.09,1.32,.51,1.94-.18,3.25-3.44,6.86-6.64,10.42-9.88,1.86-1.7,3.8-3.35,5.74-5,.22-.18,.68-M .16,1.13-.26,.59,3.11,.65,6.05,1.17,9.08,.04,.18,.89,.36,1.07,.21,6.21-5.07,11.89-10.69,18.44-15.36,.27-.21,.93,0,.96,.29,.4,2.77,.37,5.62,1.03,8.34,.75,1.05,2.85-1.34,3.66-1.77,5.59-4.35,11.48-8.58,17.5-12.46,.23-.13,.95,.11,.98,.34,.4,2.55,.53,5.15,.75,7.72,.58,1.25,2.06-.14,2.82-.58,7.01-4.31,13.83-9.13,21.35-12.74,.74-.13,1.1,.79,1.43,1.3,1.15,2.07,2.28,4.14,3.44,6.2,.22,.4,.53,.74,1.31,.85,.28-.14,.58-.28,.89-.44Z"/><path class="cls-2" d="M868.75,443.6s-.07,.02-.11,.02l-.03-.09,.14,.07Z"/><path class="cls-2" dM ="M883.2,474.65s-.04-.05-.05-.07l.21-.03-.16,.1Z"/><path class="cls-2" d="M919.73,457.05c-.09,1.12-1.7,.89-2.51,1.14-3.71,.49-7.42,.98-11.13,1.44-8.78,1.02-17.41,2.59-26.05,4.17-.83,.26-2.95,.33-2.36,1.56,1.4,3.23,3.26,6.29,5.47,9.22-11.79,1.87-23.25,4.66-34.76,7.59-.65,.18-2.04,.41-1.64,1.33l-2.29-.35c.32-.1,.63-.19,.94-.29,.17-.44,.03-.64-.15-1.01-1.8-2.63-3.61-5.26-5.4-7.86-2.65-.1-13.42,3.87-18.34,5.61,0,0-40.16-6.22-40.16-6.22,3.21-1.54,6.45-3.02,9.71-4.48,1.17-.53,2.41-.96,3.62-1.42,.26-.1,.92,.1,1.05,.32,1.5M 8,2.49,3.07,5.03,4.64,7.53,.18,.26,.55,.43,.9,.69,10.58-4.31,21.51-7.87,32.31-11.8,.22-.17,.33-.6,.21-.88-1.42-2.9-2.77-5.82-4.38-8.75-11.67,3.22-22.54,8.22-33.92,12.27-2.15-2.67-3.2-5.64-4.75-8.58-.19-.38-.93-.59-1.37-.39-8.26,3.51-16.17,7.66-24.1,11.82-.82,.24-2.74,1.93-3.31,.79-.15-2.8-.08-5.6-.41-8.38-.85-1.28-8.1,3.97-9.6,4.62-4.84,2.92-9.63,5.89-14.44,8.84-.24,.15-.94-.08-.98-.31-.51-2.75-.2-5.58-.4-8.38,.03-.58-.85-.47-1.19-.32-6.45,4.16-12.78,8.62-18.81,13.23-.71,.37-2.11,2.04-2.79,1.04-.4-2.99-.12-6.01-.15M -9.02,0-.25-.17-.39-.5-.42-.5-.05-.96,.34-1.35,.58-5.38,4.02-10.53,8.29-15.62,12.64-.65,.55-1.27,1.13-1.95,1.65-.45,.34-.81,.96-1.62,.66-.6-.23-.42-.75-.42-1.15-.03-2.8,.12-5.61-.03-8.4-.01-.18-.19-.37-.34-.53-.07-.07-.26-.14-.36-.12-1.05,.35-1.79,1.28-2.65,1.92-5.1,4.45-10.33,8.8-15.13,13.46-1.91,1.8-1.77-.98-1.74-2.26-.03-2.57,.09-5.18-.06-7.75-.02-.18-.2-.37-.37-.51-.23-.18-.48-.12-.71,.08-.89,.8-1.82,1.58-2.67,2.41-4.91,4.45-9.3,9.8-14.49,13.78-.34,0-.53-.12-.53-.39-.03-2.48-.08-4.95-.08-7.42,0-1.4,.06-2.8,.06-M 4.19,0-.13-.33-.28-.54-.37-5.52,4.15-10.14,9.81-14.99,14.71-.64,.68-1.37,1.31-2.07,1.95-.06,.06-.25,.05-.36,.03-.55,0-.45-1.01-.49-1.41,.18-4.08,.45-8.18,.55-12.26,0-.08-.12-.22-.2-.22-.94-.21-1.42,.76-2.02,1.28-3.83,3.76-7.18,8.4-11.32,11.69-.21-.09-.55-.23-.55-.35,.01-1.4,.05-2.8,.13-4.19,.05-3.71,.76-7.66,.48-11.25-.23-.03-.6-.07-.69,.02-4.12,4.08-7.97,8.34-11.78,12.7-.77-.28-.86-.66-.83-1.37,.08-5.73,1.19-11.38,1.63-17.06-.99-.2-1.5,.62-2.14,1.18-3,3.18-5.98,6.38-8.99,9.56-.48,.51-1.04,.97-1.59,1.44-.06,.05-.26M ,0-.37-.03-.1-.03-.25-.12-.25-.18-.01-.86-.08-1.72,.02-2.57,.64-5.25,1-10.56,1.98-15.75,.99-4.56-1.66-1.44-3.22,.04-2.72,2.68-5.42,5.37-8.14,8.05-.42,.41-.92,.78-1.4,1.15-.11,.06-.58-.12-.62-.25,.05-1.18,.02-2.37,.2-3.54,.92-6.09,1.9-12.18,2.84-18.27,.36-2.57-.46-2.11-2.02-.81-3,2.77-5.96,5.56-8.95,8.34-.61,.56-1.29,1.08-1.96,1.61-.05,.04-.26-.02-.37-.06-.1-.04-.25-.11-.26-.18-.25-1.41-.03-2.8,.23-4.18,1.12-6.07,2.31-12.13,3.44-18.2,.29-1.59,.43-3.2,.62-4.8-.5-.83-1.58,.48-2.11,.78-3.99,3.2-7.64,6.79-11.82,9.71-.15M ,.08-.56,0-.6-.2,1.39-10.52,4.33-20.78,6.07-31.25,.02-.13-.26-.31-.43-.42-.81,0-1.54,.86-2.24,1.24-3.46,2.57-6.9,5.15-10.36,7.71-.61,.32-1.22,1.13-1.95,.97-.1-.03-.26-.11-.25-.17-.02-3.36,1.13-6.59,1.79-9.87,1.52-6.46,3.03-12.91,4.58-19.36,.06-1.31,2.85-7.51,.86-7.11-4.68,2.66-9.11,5.72-13.7,8.54-.63,.39-1.21,.87-2.17,.86,1.12-7.47,3.77-15.88,5.65-23.38,1.73-6.09,3.46-12.17,5.17-18.26,0-1.61-2.23,.13-2.95,.37-4.06,2.13-8.1,4.27-12.16,6.4-.72,.3-2.56,1.72-2.7,.24,1.87-7.95,4.42-15.75,6.61-23.63,2.24-7.43,4.77-14.8,7M .04-22.22,.21-.71,.7-1.42,.15-2.18-6.3,1.8-12.1,5.29-18.38,7.29-.42,.18-.69-.35-.68-.57,5.69-18.91,11.85-37.66,19.08-56.07l.25-.21c7.24-2.32,14.5-4.65,21.74-6.96-7.24,17.31-13.91,34.82-19.99,52.43-.29,.82-.5,1.66-.69,2.51-.02,.08,.41,.36,.54,.32,6.26-2.06,12.05-5.39,18.33-7.35,.14-.03,.57,.24,.55,.33-.16,.73-.35,1.47-.62,2.18-5.45,14.2-10.29,28.54-14.81,42.94-.16,.52-.22,1.06-.3,1.59-.02,.09,.05,.26,.14,.29,.21,.07,.52,.18,.68,.11,5.51-2.62,10.73-5.8,16.22-8.49,.22-.06,.89-.07,.89,.32-.17,.74-.32,1.48-.55,2.21-3.73M ,10.86-7.04,21.87-10.27,32.88-.5,1.68-.93,3.36-1.37,5.05-.04,.18,.04,.48,.21,.58,.14,.09,.54,.07,.72-.04,4.74-2.78,9.29-5.89,13.95-8.8,.52-.33,1.02-.72,1.91-.58-.39,4.68-2.9,9.15-3.85,13.77-1.51,5.91-3.02,11.81-4.71,17.69-.36,1.25-.64,2.53-.92,3.8-.03,.13,.2,.33,.35,.46,.74,.07,1.88-1.05,2.57-1.43,3.59-2.6,7.16-5.23,10.76-7.83,.91-.55,2.6-1.99,2.12,.23-2.32,7.61-4.11,15.35-5.99,23.07-.53,2.22-.99,4.45-1.46,6.67-.02,.09,.09,.28,.15,.28,.93,.13,1.54-.69,2.23-1.16,3.5-2.84,6.98-5.69,10.49-8.52,.55-.45,1.18-.85,1.8-1.2M 5,.05-.04,.32,.02,.35,.08,.09,.19,.2,.42,.16,.6-.59,2.43-1.27,4.85-1.8,7.29-1.33,6.04-2.59,12.09-3.87,18.14-.34,2.2,1.17,.83,2.06,.13,3.93-3.39,7.68-6.98,11.69-10.27,.27-.21,.75,.19,.77,.41-.13,.96-.27,1.92-.53,2.87-1.62,6.11-2.59,12.29-3.6,18.5-.04,.51-.32,1.78,.41,1.68,.23-.08,.54-.12,.68-.26,3.12-2.97,6.21-5.96,9.31-8.94,.86-.82,1.75-1.63,2.66-2.42,.17-.09,.88-.18,.86,.24-1.06,6.61-2.51,13.19-3.28,19.84,.22,1.35,1.6-.27,2.08-.64,3.48-3.43,6.94-6.87,10.42-10.29,.43-.28,1.02-.95,1.57-.82,.09,.31,.22,.63,.18,.93-.6M 3,4.5-1.29,8.99-1.93,13.48-.06,.96-1.06,4.72,.96,3.1,4.14-3.96,7.95-8.23,12.26-12.01,.14-.09,.87-.19,.9,.16-.07,1.18-.11,2.36-.26,3.53,.05,1.36-2.52,12.74-.32,11.59,5.38-4.92,10.22-10.28,15.84-15.08,.63-.42,1.31-1.38,2.1-1.35,.39,.04,.39,.49,.38,.77-.81,3.94-.67,7.95-1.23,11.91-.07,.41,.13,.8,.29,1.17,.86,.4,1.96-1.24,2.65-1.73,4.58-4.24,9.15-8.48,13.74-12.72,.89-.6,1.8-2.1,2.97-1.86,.27,3.72-.69,7.73-.76,11.54,.02,.91,.77,.79,1.26,.49,3.53-2.96,7.03-5.95,10.57-8.91,2.88-2.2,5.45-4.95,8.63-6.72,.54-.15,.54,.6,.57,.M 94-.32,3.01-.67,6.01-.99,9.01,0,.57-.01,1.61,.82,1.43,6.35-4.78,12.21-10.03,18.85-14.59,.8-.5,1.4-1.21,2.48-1.01-.28,3.34-.8,6.64-.68,9.99,.35,1.46,1.84,.03,2.58-.48,6.37-4.78,13.08-9.46,19.92-13.68,.32-.17,.89,.03,.91,.33,.16,2.69-.29,5.37-.35,8.06-.36,1.5,.72,1.91,1.86,.96,7.15-4.28,14.01-8.8,21.42-12.7,.69-.23,1.73-1.2,2.36-.46,.27,2.87-.26,5.8-.29,8.69-.03,.61,.72,.88,1.42,.52,8.64-4.62,17.35-9.21,26.54-12.92,.56-.21,1.17,.07,1.15,.52-.09,1.61-.2,3.22-.29,4.84,.18,1.04-1.05,4.67,.85,4.15,9.83-3.76,19.43-7.92,29M .54-11.23,1.11-.37,2.22-.76,3.34-1.13,.57-.18,1.14,0,1.3,.43,.98,2.81,2.14,5.56,3.33,8.29,.32,.75,.92,.94,1.92,.66,12.45-3.74,24.92-7.51,37.71-10.25,.79,2.24,1.6,4.49,2.38,6.73,1.52,4.37,1.99,3.57-3.41,4.87-10.31,2.48-20.56,5.07-30.6,8.17-2.74,.85-2.76,.84-1.52,2.96,1.21,2.04,2.45,4.07,3.68,6.1,.59,1.33,1.92,.76,3,.46,10.92-3.21,21.94-5.88,33.14-8.17,.52-.15,1.39-.33,1.44-.94-.91-3.25-3.02-6.16-3.98-9.4,.88-.6,1.99-.68,3.02-.98,13.38-2.62,26.93-5.21,40.53-6.65,.05,0,.1,0,.15,0,1.09,3.42,2.4,6.79,3.26,10.28Z"/><pathM class="cls-2" d="M635.75,1093.88c.55,.13,1.06,.02,1.54-.19,3.79-1.63,7.59-3.24,11.37-4.9,5.67-2.48,11.16-5.2,16.67-7.9,.27-.09,1.23-.46,1.3,.02-2.6,5.81-6.35,11.13-9.39,16.75-.28,.36,.26,.65,.6,.55,9.34-3.97,18.17-9.61,27.54-13.23,.11,.17,.3,.41,.23,.55-.5,.99-1.03,1.98-1.61,2.95-2.77,4.66-5.56,9.32-8.34,13.98-.34,.58-.61,1.18-.89,1.78-.03,.06,.1,.19,.2,.26,.33,.19,.75-.06,1.06-.17,4-1.99,8.03-3.93,11.98-5.99,4.06-2.12,8.02-4.35,12.04-6.52,.99-.52,2.52-1.12,1.5,.73-3.72,6.73-7.96,13.18-11.99,19.73-.12,.29-.33,1.01M ,.12,1.07,8.46-3.75,16.48-8.54,24.72-12.77,.59-.31,1.22-.43,1.86-.06l-.11-.03c-4.74,8.2-10.09,16.11-14.94,24.3-.13,.36,.58,.47,.74,.42,7.64-3.79,15.17-7.74,22.62-11.84,1.56-.74,3.57-2.02,1.88,.86-4.72,7.97-9.91,15.75-15.07,23.55-2.57,3.81-2.51,4.16,1.72,2.01,7.33-3.42,14.51-7.73,21.93-10.69,.49,.74-.37,1.39-.67,2.05-6.44,10.42-13.69,20.45-20.45,30.76,0,.13,.37,.39,.53,.34,.75-.23,1.51-.43,2.22-.72,5-2.1,9.99-4.22,14.99-6.33,.58-.18,3.46-1.77,3.03-.31-4.38,6.82-9.11,13.42-13.7,20.11-3.28,4.7-6.67,9.34-10,14.01-.51,1M .09-2.3,2.23-1.4,3.46,0-.23-.06-.32-.29-.36l.28,.3c6.75-2.43,13.49-4.86,20.25-7.27,.16-.06,.47,.11,.68,.21,.06,.03,.06,.2,.02,.28-.67,1.56-1.82,2.88-2.74,4.31-8.85,12.94-18.58,25.41-27.86,38.19,.13,.94,2.14-.03,2.78-.07,6.35-1.76,12.62-3.81,19.02-5.38,.88,.17,.22,1.08-.06,1.56-2.84,3.91-5.69,7.82-8.55,11.72-8.45,11.52-17.24,22.87-26.3,34.09-.5,.62-1.16,1.2-1.16,2.01,.64,.35,1.32,.23,1.96,.1,2.35-.47,4.69-.97,7.04-1.44,4.3-.88,8.61-1.74,12.92-2.61,.46-.15,1.14-.21,1.49,.07,.11,.14,.05,.43-.07,.6-.58,.85-1.17,1.7-1.8M 1,2.52-6.41,8.23-12.79,16.47-19.24,24.67-7.43,9.62-15.43,18.91-23.08,28.44-.08,.28,0,.76,.43,.7,2.4-.23,4.81-.45,7.21-.71,5.21-.52,10.4-1.27,15.61-1.69,1.32-.21,2.02,.37,.95,1.47-17.51,21.6-34.69,43.52-53.74,63.85-8,.28-16.1,.05-24.12,.12-2.28-.09-3.49,.01-1.31-2.21,10.46-11.17,20.76-22.52,30.89-33.97,6.68-7.56,13.25-15.2,19.85-22.8,.86-1.21,2.31-2.13,2.45-3.67-7.67,.36-15.25,1.58-22.9,2.25-.49,0-2.21,.27-1.94-.48,15.33-17.94,31.61-35.31,45.79-54.05-.45-.06-.83-.19-1.15-.13-3.53,.67-7.06,1.39-10.59,2.07-3.92,.75-7.M 85,1.48-11.79,2.19-.11,.02-.47-.3-.43-.39,11.45-14.73,24.32-28.66,35.52-43.52,1.35-1.7,4.33-4.74-.07-3.42-6.12,1.66-12.23,3.34-18.34,5.01-.62,.17-1.26,.43-1.85,.03,10.25-13.85,22.06-26.87,31.81-41.15-.31-.82-2.12,.2-2.78,.29-5.32,1.81-10.64,3.65-15.96,5.46-.86,.29-1.76,.5-2.66,.73-.08,.02-.24-.1-.32-.18-.29-.35,.42-1.05,.61-1.4,7.54-9.57,14.85-19.24,22.02-28.99,1.3-1.76,2.5-3.56,3.73-5.35,.28-.33-.21-.71-.57-.58-7.77,3.17-15.41,6.63-23.13,9.91-1.74,.65-3.8,1.55-1.77-1.07,6.97-9.71,14.42-19.11,20.97-29.1,.3-1.51-3.2M 4,.82-3.84,.9-7.39,3.31-14.64,6.93-22.12,10.05-1.46,.06-.44-.86-.05-1.55,5.68-8.07,11.36-16.14,17.04-24.21,.26-.37,.49-.77,.64-1.17,.05-.14-.17-.35-.31-.6-8.91,3.96-17.46,8.67-26.49,12.35-.14,.02-.47-.24-.4-.41,.55-.86,1.08-1.73,1.68-2.56,4.78-6.87,9.8-13.56,13.86-20.79-.34-.81-1.76,.16-2.33,.34-7.45,3.89-15.25,7.31-22.94,10.86-2.39,1.1-3.42,1.29-1.52-1.42,3.84-5.81,7.69-11.61,11.52-17.42,.3-.45,.79-.88,.59-1.46-.03-.09-.22-.23-.27-.21-.73,.26-1.48,.49-2.17,.82-8.61,4.24-17.49,7.98-26.01,12.35l.12-.05c-1.22-1.12,.7M 8-2.65,1.29-3.75,3.03-4.3,5.86-8.67,8.57-13.1,.41-.67,.77-1.36,1.09-2.06,.07-.15-.14-.38-.24-.61-10.8,4.64-21.64,9.4-32.75,13.66l.02,.08c-.94-1.12,.67-2.21,1.17-3.19,2.93-4.11,5.88-8.22,8.81-12.34,.46-.65,.9-1.32,1.29-2,.08-.14-.08-.37-.17-.55-11.55,3.8-22.96,8.96-34.66,12.88-1.55,.34-5.42,2.48-3.03-.79,2.88-4.26,5.77-8.51,8.65-12.78,.25-.37,.41-.79,.58-1.19,.03-.06-.09-.18-.17-.24-.52-.37-1.27,.14-1.83,.24-9.88,3.69-20.05,6.83-30.1,10.22-2.72,.92-5.44,1.88-8.34,2.41-.85-.2-.2-1.08,.08-1.57,2.88-4.25,5.92-8.42,8.59M -12.8,.08-.13,0-.43-.14-.53-1.28-.41-2.85,.57-4.16,.79-12.21,3.68-24.51,7.17-36.97,10.3-.96,.17-1.83,.64-2.78,.07,2.48-4.67,5.95-8.83,8.29-13.57-.26-.78-1.81-.17-2.41-.11-14.79,3.56-29.71,7.15-44.81,9.61-1.44-.14-.25-1.4,.05-2.08,2.06-3.51,4.26-6.95,6.26-10.49,.13-.29,.25-.71,.08-.92-.74-.67-2.12-.08-3.05-.03-10.74,2.07-21.61,3.58-32.48,5.08-5.45,.66-10.88,1.64-16.37,1.91-1.48-.24,.14-1.98,.37-2.75,1.68-3.05,3.4-6.09,5.08-9.15,.21-.5,.73-1.39,.03-1.69-3.72-.26-7.48,.57-11.21,.75-8.42,.87-16.9,1.28-25.34,1.87-6.44,.M 54-12.92,.5-19.36,.91-1.08,.12-3.39,.16-2.61-1.31,1.81-4.04,4.2-7.88,5.63-12.07,.07-.26-.33-.69-.67-.7-1.07-.04-2.14-.09-3.21-.09-21.4,.13-42.84-.14-64.19-1.77l.13,.12c1.82-4.49,3.64-8.98,5.46-13.48,.18-.48,.29-1.26-.37-1.4-6.49-.91-13.06-1.28-19.58-1.97-19.82-1.95-39.52-4.81-59.2-7.82l.09,.1c1.68-5.4,2.84-10.98,4.89-16.25l-.13,.07c26.58,4.42,53.27,8.92,80.17,10.99l-.15-.14c.13,.66-.12,1.27-.35,1.9-1.45,4.22-3.32,8.36-4.42,12.67,6.76,1.54,14,1.03,20.93,1.74,14.11,.77,28.26,1.12,42.4,1.17,1.21,.25,5.47-.79,4.53,1.44M -1.38,3.15-2.83,6.27-4.2,9.42-1.46,2.98-1.32,2.98,2.53,2.95,8.36-.07,16.69-.49,25.02-.96,9.14-.43,18.26-1.19,27.35-2.02,4.51-.66,3.94,.04,2.55,2.84-1.52,3.11-3.26,6.13-4.76,9.25-.78,1.55,1.86,1.04,2.79,.99,4-.47,8-.9,11.98-1.43,12.33-1.64,24.62-3.54,36.88-5.58,1.7-.04,.6,1.46,.23,2.25-1.88,3.56-4.07,6.99-5.76,10.65-.13,.29,.31,.6,.75,.52,4.32-.81,8.66-1.56,12.95-2.47,11.03-2.39,22.07-4.69,32.99-7.5,.22-.05,.5,.04,.74,.09,.66,.23-.13,1.3-.35,1.74-1.96,3.83-4.8,7.55-6.29,11.48,1.03,.62,2.27-.23,3.37-.34,10.15-2.54,20M .13-5.46,30.09-8.44,3.14-.94,6.3-1.87,9.46-2.78,.18-.05,.47,.12,.69,.22,.17,.34-.17,.85-.31,1.2-2.24,3.8-4.57,7.56-6.85,11.34-.36,.6-.61,1.2-.12,1.81,.04-.22,.03-.34-.19-.43l.2,.38c13.27-4.37,26.52-8.93,39.61-13.72,.2,.23,.5,.42,.46,.54-.17,.51-.37,1.03-.67,1.5-2.26,3.67-4.55,7.33-6.82,10.99-.36,.57-.66,1.17-.97,1.76-.03,.06,.05,.19,.12,.26,.46,.42,1.29-.1,1.83-.19,6.17-2.15,12.22-4.51,18.23-6.94,5.53-2.23,11.04-4.49,16.57-6.72,.46-.19,.99-.38,1.53,.11-2.81,4.89-6.01,9.6-9,14.39-.31,.48-.64,.95-.4,1.52-.4-.21-.68,.M 27-.28,.39,.29-.01,.39-.15,.3-.38Z"/><path class="cls-2" d="M1248.04,892.82c-.37,.86-.06,1.71,.15,2.55,1.39,5.48,2.82,10.96,4.22,16.44,.59,2.32,1.16,4.64,1.7,6.97,.04,.15-.18,.48-.27,.48-1.1-.12-1.63-1.38-2.42-2.04-10.13-10.76-20.2-21.56-30.39-32.25-1.33-1.22-4.93-5.82-3.48-.87,2.27,7.97,4.57,15.94,6.84,23.92,.09,.59,.48,1.38-.28,1.67-9.65-8.67-18.54-18.78-27.93-27.93-.97-.83-4.88-5.34-3.75-1.38,2.7,9.22,5.78,18.34,8.25,27.63,.02,.08-.12,.27-.18,.27-1.15,.03-1.72-1.22-2.55-1.83-8.66-8.03-16.8-16.72-25.74-24.39-.04-M .02-.3,.09-.29,.13,.27,3.56,1.97,6.89,2.84,10.35,1.89,6.97,4.5,13.78,5.93,20.84-1.73-.53-2.55-1.87-3.87-2.95-6.4-5.83-12.79-11.66-19.21-17.48-1.73-1.32-3.21-2.97-2.27,.64,2.79,9.76,5.6,19.51,8.39,29.26,.04,.32,.16,.99-.22,1.14-.89-.03-1.9-1.33-2.67-1.83-5.87-5.05-11.73-10.1-17.61-15.15-1.07-.73-3.22-3.01-2.53-.02,3.08,10.59,5.7,21.25,8.43,31.9,.04,.38,.21,.94-.09,1.23-1.07,.1-1.8-.92-2.5-1.45-5.32-4.28-10.61-8.57-15.93-12.85-.55-.32-2.77-2.44-2.87-1.12,2.5,10.23,4.79,20.52,7.07,30.8,.4,1.8,.71,3.61,1.05,5.42,.02,.0M 9-.08,.26-.17,.28-.67,.24-1.14-.21-1.63-.58-5.86-4.45-11.9-8.69-17.66-13.27-.02,.08-.03,.14-.05,.21l.1-.23c-.47,.58-.49,1.22-.37,1.87,.4,2.13,.81,4.25,1.22,6.38,1.73,9.15,3.49,18.29,5.07,27.47,.38,3.6,1.69,6.25-2.65,2.89-4.42-2.99-8.84-5.98-13.28-8.96-.61-.35-1.67-1.28-2.27-.67,.02,5.26,1.48,10.47,2.03,15.7,1.11,8.88,2.41,17.75,3.12,26.67,.01,.13-.3,.29-.49,.41-.35,.11-.78-.17-1.08-.31-4.77-3.01-9.62-5.89-14.44-8.83-.61-.35-1.81-1.19-2.21-.22,.75,13.65,2.23,27.27,2.62,40.95,.09,1.83,.18,3.65,.26,5.48,.01,.27-.58,.5M 5-.89,.42-5.5-2.65-10.89-5.57-16.37-8.27-.95-.31-1.04,.62-1.06,1.29-.04,16.47,.35,32.96-.4,49.41-.13,2.99-1.45,1.8-3.45,1.07-4.03-1.74-8.04-3.5-12.07-5.24-.93-.2-2.42-1.41-3.18-.47-.92,13.97-2.01,27.94-3.4,41.88-.23,4.2-.81,8.37-1.38,12.54-.53,1.6,.43,5.9-2.18,4.87-5.57-1.9-11.14-3.89-16.81-5.48-.5-.12-1.18,.18-1.25,.56-.34,2.13-.66,4.27-1.02,6.4-2.6,16.78-5.67,33.51-9.01,50.17-.69,3.4-1.48,6.78-2.21,10.18-.11,.52-.25,1.07,.26,1.53,0,0,.06-.02,.06-.02-6.98-.58-13.76-3.02-20.65-4.31-1.22-.31-.87-1.35-.73-2.23,1.43-6M .14,2.92-12.27,4.3-18.41,3.87-16.36,6.59-32.97,9.99-49.4,.61-.69,1.81-.04,2.57,.07,4.16,1.24,8.31,2.51,12.47,3.77,4,1.21,4.13,1.62,4.51-2.1,2.58-17.73,4.4-35.56,5.85-53.42,.12-1.28,.4-2.55,.62-3.82,.05-.26,.29-.38,.61-.31,5.23,1.51,10.16,3.96,15.28,5.8,1.57,.59,1.95,.44,2.06-.83,1.23-17.19,1.18-34.46,1.43-51.67,.76-1.23,2.76,.68,3.77,.83,4.07,1.91,8.12,3.83,12.18,5.75,.48,.23,.97,.34,1.59-.03-.06-15.7-1.64-31.37-2.37-47.04-.02-.3,.56-.55,.88-.39,5.23,2.59,10.26,5.56,15.41,8.3,.52,.2,1.32,.28,1.25-.62-1.3-11.15-2.28M -22.35-4.01-33.44,.04-1.39-2.15-9.13-.49-8.92,5.38,2.68,10.32,6.21,15.47,9.29,.42,.28,.93,.62,1.42,.35,.46-.25,.33-.77,.28-1.19-.11-.86-.19-1.72-.33-2.57-1.49-9.19-3.2-18.35-5-27.48-.35-1.81-.82-3.61-1.07-5.42-.14-1-.86-2.04,.01-3.06,1.27,.16,2.03,.96,2.92,1.56,4.23,2.84,8.41,5.73,12.61,8.6,.83,.43,1.59,1.43,2.61,1.17-1.43-10.43-4.8-20.97-6.97-31.42-.4-1.69-.83-3.38-1.2-5.08-.03-.13,.23-.32,.4-.44,.76-.03,1.6,.85,2.27,1.21,4.88,3.56,9.74,7.13,14.61,10.69,.72,.38,1.4,1.28,2.24,1.23,.1-.03,.24-.13,.24-.2-.02-.64,.03-M 1.29-.13-1.9-1.13-4.32-2.27-8.64-3.46-12.95-1.58-6.42-4.01-12.75-5.18-19.22,.16-.99,2.27,.92,2.72,1.14,6.11,4.69,12.02,9.64,18.23,14.19,.75,.34,.61-.71,.48-1.14-2.46-8.16-4.94-16.32-7.37-24.49-.68-2.3-1.67-4.54-2.01-6.9-.01-.09,.1-.22,.19-.27,.09-.05,.28-.06,.36-.02,.72,.47,1.48,.91,2.12,1.45,6.15,5.13,12.29,10.28,18.43,15.42,.65,.54,1.31,1.08,1.99,1.6,.06,.05,.28,.02,.39-.02,.1-.05,.23-.17,.21-.25-.14-.74-.25-1.49-.48-2.22-2.76-8.54-5.55-17.09-8.33-25.63-.24-1.17-1.14-2.31-.77-3.48,1.34,.38,2.19,1.48,3.23,2.32,6.6M 8,5.92,13.36,11.84,20.04,17.76,1.25,1.09,3.92,3.8,2.7,.04-2.99-9.18-6.24-18.38-9.09-27.59-.03-1.21,2.07,.9,2.34,1.07,5.8,5.39,11.6,10.78,17.38,16.18,3.15,2.95,6.26,5.92,9.4,8.87,.17,.12,.88,.28,.91-.14-2.67-9.25-5.9-18.34-8.8-27.52-.72-2.43,1.26-.38,2.05,.3,10.5,9.83,20.47,20.04,30.67,30.04,.26,.24,.77-.12,.79-.32-2.17-8.56-5.17-16.93-7.63-25.42-.13-.41-.16-.84-.22-1.26,0-.07,.1-.2,.17-.21,12.48,10.89,23.59,23.86,35.21,35.69,.51,.34,2.73,3.34,3.14,2.3-1.32-7.75-4.16-15.34-6.02-23.03-.14-.53-.31-1.05-.42-1.58-.08-.4M 1-.4-.99,.1-1.21,.64-.29,.86,.38,1.14,.68,14.45,14.93,28.08,30.59,42.33,45.68,.24,.14,.88,.16,.76-.31-1.63-7.97-3.37-15.92-5.17-23.86-.02-.09,.06-.28,.12-.29,.22-.02,.56-.05,.67,.05,.77,.74,1.54,1.49,2.24,2.27,6.74,7.54,13.52,15.04,20.18,22.63,8.97,10.23,17.81,20.53,26.73,30.79,.28,.32,.93,.55,1.03,.38,.1-.17,.24-.37,.22-.55-.91-6.85-1.9-13.7-2.82-20.55-.3-2.98,1.51-.55,2.4,.37,18.22,21.16,36.13,42.55,53.85,64.1,.7,1,1.88,1.88,1.85,3.16-.02,6.57-.04,13.14-.09,19.71,0,.13-.32,.28-.51,.38-.64-.17-1.05-.95-1.52-1.4-16M .37-20.18-32.83-40.23-49.74-60.09-.76-.66-1.52-2.3-2.63-2.22-.53,.37-.09,1.25-.09,1.79,.87,6.75,1.75,13.5,2.61,20.24,.02,.19-.11,.39-.2,.58-.08,.16-.73-.1-1.01-.41-2.83-3.27-5.57-6.61-8.38-9.9-11.87-14-23.85-27.93-36.13-41.7-.77-.65-1.29-1.94-2.42-1.89-.31,.57,.11,1.82,.16,2.53,1.38,7.35,3.32,14.61,4.39,22-1.2,0-1.61-.99-2.37-1.7-9.42-10.51-18.81-21.02-28.25-31.52-3.3-3.67-6.71-7.29-10.07-10.92-.31-.33-.64-.7-1.29-.6,.05-.26-.01-.3-.19-.13l.27,.07Z"/><path class="cls-2" d="M320.28,495.33c.31-.51,.23-1.05,.13-1.58-.M 38-2.02-.73-4.05-1.16-6.07-1.48-7.01-2.77-14.04-3.91-21.09-.52-3.31-1.34-6.58-1.65-9.93-.13-1.33,1.01-1.06,1.61-.46,5.49,3.64,10.76,7.64,16.48,10.9,.1,.05,.58-.17,.58-.26,0-.96,.02-1.94-.15-2.89-.98-5.55-1.64-11.12-2.33-16.7-.78-7.64-2.63-15.53-2.52-23.1,1.03-.28,1.85,.66,2.72,1.07,4.29,2.61,8.58,5.22,12.87,7.83,.7,.32,1.61,1.21,2.36,.63-.32-14.93-2.48-30.1-2.61-45.14-.17-2.76,1.44-1.65,3.02-.8,4.81,2.32,9.41,5.17,14.36,7.18,1.04-.03,.67-1.49,.8-2.2,0-16.38-.37-32.76,.49-49.12,.02-2.38,1.9-1.08,3.25-.62,4.15,1.79,8M .28,3.61,12.43,5.39,.78,.19,2.22,1.14,2.85,.41,1.15-14.49,2.08-29.04,3.58-43.52,.72-5.22,.85-10.61,2.03-15.72,.88-.77,2.31,.42,3.3,.51,5.14,1.51,10.13,3.74,15.37,4.83,.64,.04,.9-.71,.97-1.22,.76-4.7,1.49-9.4,2.27-14.1,2.17-13.81,4.75-27.53,7.51-41.23,.7-3.94,1.95-7.8,2.35-11.79,.01-.16-.27-.34-.42-.51l-.06,.02c6.36,.36,12.47,2.63,18.71,3.81,3.38,.8,3.33,.35,2.69,3.21-4.61,19.32-8.87,38.72-12.42,58.26-.65,2.96-.75,6.04-1.69,8.93-.54,.84-1.75,.18-2.52,.06-4.17-1.23-8.33-2.48-12.5-3.71-1.19-.13-3.52-1.75-4.2-.25-1.28,M 7.33-1.93,14.78-2.94,22.16-1.81,12.4-2.36,24.93-3.9,37.34-.04,.24-.68,.5-.97,.4-5.42-1.84-10.61-4.26-16.01-6.15-1.04-.17-1,1.01-1.07,1.72-.24,4.74-.5,9.47-.69,14.21-.36,11.31-.77,22.62-.58,33.93,.03,3-.03,3.32-.58,3.34-1.46,.05-2.45-.78-3.58-1.29-3.75-1.7-7.43-3.49-11.15-5.24-.67-.19-1.94-1.13-2.32-.14,0,8.08,.44,16.16,.97,24.21,.47,7.42,.94,14.85,1.41,22.27-.12,1.89-2.46-.18-3.3-.41-4.5-2.33-8.81-5.04-13.42-7.14-.12-.04-.52,.16-.58,.3-.13,.29-.17,.63-.14,.94,1.24,11.06,2.25,22.12,4.01,33.12,.38,2.86,1.06,5.74,.97,M 8.62-.67,.21-1.14,.02-1.58-.25-4.18-2.55-8.35-5.11-12.52-7.66-1.08-.49-2.09-1.72-3.32-1.58-.18,.07-.36,.32-.35,.49,.11,2.38,.57,4.72,.97,7.06,1.19,6.5,2.4,12.99,3.6,19.49,.75,4.05,1.49,8.09,2.2,12.14,.02,.13-.27,.31-.45,.44-5.27-2.49-10.72-7.18-15.84-10.38-.72-.33-1.78-1.66-2.4-.61,1.28,6.45,2.88,12.93,4.32,19.39,1.3,5.61,2.69,11.21,4.02,16.81,.03,.13-.21,.32-.36,.45-1.2-.06-2.16-1.27-3.18-1.86-4.77-3.5-9.53-7-14.29-10.49-.51-.25-1.04-.94-1.63-.82-.68,.37-.35,1.13-.26,1.74,.88,3.37,1.75,6.75,2.69,10.11,1.96,7.04,3.M 96,14.07,5.94,21.11,.15,.52,.29,1.05-.04,1.64-1.48-.29-2.5-1.51-3.7-2.33-5.19-4.08-10.38-8.16-15.57-12.24-.57-.44-1.05-1-2.1-1.06,2.55,10.48,6.12,20.75,9.27,31.09,.99,3.74-1.7,.74-3.01-.15-6.24-5.22-12.46-10.45-18.7-15.67-.36-.3-.63-.71-1.24-.72-.1,0-.29,.09-.29,.14,.02,.53-.04,1.07,.11,1.58,1.13,3.66,2.28,7.31,3.47,10.96,1.91,5.83,3.86,11.65,5.79,17.48,.14,.41,.26,.82-.08,1.26-1.2-.37-2.03-1.33-2.96-2.1-6.42-5.67-12.83-11.35-19.24-17.03-1.25-.89-2.2-2.45-3.72-2.84-.22-.03-.38,.44-.26,.81,.36,1.15,.72,2.3,1.1,3.44,M 2.66,8.01,5.32,16.02,7.99,24.03,.17,.52,.44,1.02,.17,1.56-.59,.01-.99-.26-1.35-.58-1.79-1.61-3.61-3.2-5.36-4.84-6.02-5.66-12.01-11.35-18.03-17.02-1.31-1.23-2.65-2.44-4-3.64-.12-.11-.45-.08-.69-.07-.36,.28,0,1.13,.08,1.55,2.74,8.44,5.49,16.88,8.24,25.31,.11,.58,.62,1.31-.09,1.67-.68-.07-1.21-.86-1.75-1.25-10.61-9.87-20.55-20.32-30.99-30.22-.9-.4-.42,.99-.34,1.43,2.43,7.95,4.88,15.89,7.31,23.84,.09,.53,.42,1.42,.14,1.85-1.15,0-1.77-1.2-2.59-1.84-10.78-10.76-21.33-21.68-31.71-32.69-1.4-1.28-2.24-2.97-4.13-3.65,1.84,8.M 77,4.81,17.28,6.92,26-.15,1.42-2.38-1.36-2.82-1.68-13.86-14.44-27.13-29.27-40.6-43.92-.12-.12-.47-.11-.72-.12-.04,0-.14,.19-.14,.28,.97,8.11,3.92,15.88,4.84,24.01-1.91-.53-2.73-2.34-4.08-3.6-9.9-11.16-19.82-22.3-29.68-33.49-5.04-5.72-9.95-11.53-14.92-17.29-.55-.51-1.03-1.56-1.91-1.44-.34,.19-.32,.8-.26,1.16,.66,4.71,1.33,9.42,1.99,14.13,.31,2.25,.62,4.5,.89,6.75,.02,.14-.2,.42-.34,.43-.23,.03-.59-.05-.72-.18-.73-.77-1.43-1.56-2.12-2.36-6.54-7.64-13.16-15.25-19.61-22.95-11.25-13.42-22.4-26.9-33.59-40.35-.93-1.23-2.3M 6-2.39-2.31-4.03,0-6.36,0-12.71,0-19.07,0-.44,.37-.82,.62-.66,3.21,2.78,5.49,6.67,8.36,9.85,14.33,17.6,28.83,35.12,43.62,52.48,.6,.71,1.29,1.36,1.96,2.03,.12,.09,.59-.03,.62-.21-.43-5.7-1.28-11.36-2.01-17.02,0-1.12-1.77-7.48,.89-4.71,14.36,17.01,28.74,33.88,43.59,50.55,.96,.99,1.57,2.17,2.97,2.66-.8-7.27-2.99-14.46-4.28-21.71-.13-1.03-.61-2.15-.07-3.12,.14-.26,.4-.15,.91,.42,4.62,5.17,9.2,10.36,13.86,15.51,8.76,9.53,17.26,19.34,26.23,28.69,.28,.27,.72-.08,.76-.28-.58-2.43-1.17-4.86-1.79-7.29-1.45-5.7-2.92-11.39-4.3M 7-17.09-.12-.45-.48-1.66,.31-1.64,11.76,11.72,22.88,24.26,34.54,36.17,.47,.49,.83,1.13,1.88,1.19-2.28-9.55-5.5-18.83-7.85-28.42,1.45,.23,1.86,1.2,2.84,2.05,8.34,8.46,16.67,16.93,25.02,25.38,1.33,1.35,2.78,2.63,4.19,3.93,.06,.06,.27,.05,.38,.02,.1-.03,.25-.15,.24-.21-.18-.84-.33-1.69-.58-2.52-2.5-8.27-5.02-16.53-7.52-24.79-.16-.52-.21-1.06-.29-1.6-.01-.09,.07-.26,.16-.28,1.03-.31,1.77,1.13,2.54,1.66,7.68,7.37,15.35,14.74,23.03,22.1,.92,.67,1.64,2.01,2.88,2.02,.05,0,.18-.19,.16-.28-.81-2.72-1.64-5.44-2.44-8.16-2.18-7M .33-4.35-14.66-6.5-22-.06-.19,.06-.41,.1-.61,.92,.09,1.5,.65,2.09,1.27,3.88,3.58,7.74,7.18,11.66,10.74,3.47,3.16,7,6.27,10.51,9.39,.36,.25,.84,.73,1.32,.58,.1-.05,.2-.19,.18-.28-.51-1.89-1.04-3.78-1.58-5.66-2.37-8.93-5.41-17.8-7.44-26.77,.31-.9,2.1,1.11,2.59,1.38,5.88,5.05,11.74,10.1,17.62,15.15,1,.85,3.63,3.23,2.82,.14-3.07-10.7-5.82-21.45-8.5-32.23-.31-1.03,.76-.89,1.32-.41,2.65,2.15,5.25,4.34,7.91,6.48,3.52,2.83,7.07,5.62,10.62,8.42,.37,.2,1.36,.95,1.54,.26-1.4-7.36-3.45-14.59-5.07-21.9-.93-4.02-1.77-8.06-2.62-1M 2.09-.07-.76-.37-1.96-.08-2.53,.25-.03,.59-.09,.74,0,.93,.62,1.82,1.28,2.7,1.94,4.34,3.23,8.67,6.47,13.02,9.69,.93,.54,1.76,1.6,2.93,1.5,0,.22,.05,.23,.14,.04l-.22,.04Z"/><path class="cls-2" d="M809.59,724.06s.07,.03,.1,.04c0,.02-.01,.03-.01,.05l-.09-.09Z"/><path class="cls-2" d="M953.54,686.32l-2.97,13.41h0s-.03,.13-.04,.16v.04l-3.14,14.15c-3.27-3.88-6.56-7.76-9.83-11.64-.36-.42-.87-.82-.58-1.51,3.79-1,7.86-1.04,11.88-1.65,.16-1.36-1.14-2.11-1.89-3.11-3.48-3.84-7.05-7.61-10.5-11.47-.32-.39-.05-.96,.5-1.02,4.45-.29M ,9.11-1.29,13.5-.85,1.02,1.16,2.05,2.33,3.07,3.49Z"/><path class="cls-2" d="M959.72,756.27c-2.75,1.36-5.5,3.56-8.35,4.51-.75-.32-.98-.97-1.34-1.53-1.26-1.99-2.52-3.97-3.78-5.96l13.47,2.98Z"/><path class="cls-2" d="M968.57,599.66c-.33,.39,.11,.77,.4,1.1,.91,1.04,1.92,1.99,2.88,2.98l-1.31,5.93c-5.55-.86-11.1-1.88-16.71-2.38-.84-.08-2-.62-2.52,.21-.38,.61,.67,1.07,1.16,1.55,2.8,2.76,5.64,5.49,8.44,8.25,.12,.12,.05,.39,.01,.59-.01,.05-.23,.1-.36,.11-2.67-.07-5.3-.76-7.98-.91-4.55-.39-9.09-.95-13.68-.93-.21,0-.51,.17-.5M 9,.32-.08,.16-.04,.44,.09,.58,2.75,2.68,5.75,5.14,8.57,7.74,.53,.48,.99,1.02,1.41,1.57,.09,.11-.1,.36-.18,.63-6.28-.35-12.65-.82-18.92-.4-.19,.09-.44,.4-.38,.48,.35,.46,.73,.9,1.18,1.3,2.62,2.32,5.26,4.62,7.88,6.94,2.06,1.89,1.93,2.16-.84,2.2-4.57,.27-9.14,.53-13.7,.79-1.94,.55,2.38,3.19,2.88,3.92,3.2,2.91,6.38,5.84,9.57,8.76,.38,.35,.53,.74,.07,1.22-4.72,.32-9.58,.46-14.26,1.48-.02,.28-.16,.55-.04,.66,.56,.61,1.18,1.18,1.78,1.75,3.65,3.46,7.29,6.92,10.94,10.38,.36,.35,.53,.74,.11,1.19-3.65,.52-7.36,1.04-11.07,1.58M -.54,.11-1.91,.31-1.54,1.08,3.8,3.94,7.82,7.68,11.71,11.53,.47,.61,1.38,1.12,1.04,1.97-3.85,.82-7.9,1.13-11.52,2.39-.19,.62,.12,.97,.45,1.31,4.02,4.24,8.29,8.39,12.06,12.85-.36,.68-1.03,.8-1.65,.95-3.13,.77-6.19,1.39-9.28,2.37,.06,1.24,1.17,1.87,1.88,2.79,3.58,4.1,7.14,8.34,10.79,12.37,3.28-.18,6.08-1.16,9.3-1.41l-2.36,10.67c-2.16-2.78-4.13-5.69-6.45-8.35-.64-.61-1.49-.06-2.11,.27-1.93,1.17-3.84,2.37-5.79,3.51-1.06,.61-1.7,1.71-3.23,1.77-4.11-4-7.44-8.68-11.34-12.91-.37-.43-.67-.95-1.38-1.11-.25,.04-.57,.02-.73,.14M -3.08,2.25-5.85,4.72-8.23,7.38,.02,.19-.02,.32,.04,.4,4,4.58,7.73,9.39,11.9,13.81,.12,.11,.57,.13,.73,.04,2.81-1.94,5.33-4.25,8.03-6.34,.72-.58,1.31-.51,1.9,.26,3.53,4.56,7.05,9.13,10.35,13.85,.34,.46,.59,.98,1.28,1.27,.92,.13,1.41-.59,2.13-.92l-.74,3.34c-.38-.53-.83-1.04-1.39-1.48-2.12,.4-3.11,1.94-4.59,2.98-1.71,1.21-3.27,2.55-4.81,3.77-.77-.03-1.09-.33-1.37-.72-2.82-3.92-5.65-7.84-8.49-11.75-1.05-1.01-2.06-4.12-3.83-2.46-2.21,2.12-4.06,4.56-6.1,6.84-.31,.36-.63,.7-1.4,.75-3.29-3.84-6.49-7.86-9.73-11.76-.43-.53-.M 8-1.12-1.6-1.38-.7,.2-1,.69-1.31,1.17-1.8,2.63-3.3,5.48-5.33,7.95-.71,.46-1.28-.45-1.75-.85-3.04-3.29-5.89-6.74-9.13-9.87-.22-.2-.69-.22-1.12-.35-2.11,3.32-3.33,6.87-5.32,10.1-.91,0-1.26-.47-1.67-.88-2.65-2.58-5.29-5.17-7.95-7.75-.46-.39-1.3-1.14-1.93-.69-1.57,2.91-2.46,6.15-3.73,9.2-.2,.52-.43,1.02-1.1,1.43-3.36-2.32-6.14-5.43-9.39-7.93-.64-.53-1.32-.45-1.52,.17-1.15,3.6-2.29,7.32-3.42,10.9-.74,.09-1.18-.12-1.58-.44-1.9-1.53-3.79-3.07-5.71-4.58-.98-.52-2.71-2.75-3.69-1.31-.95,3.46-1.73,6.97-2.63,10.44-.14,.66-.45,M 1.54-1.32,1.24-2.88-1.41-5.64-2.97-8.59-4.22-.3-.12-.74-.02-1.12-.02-1.32,4.17-1.68,8.61-3.05,12.74-.1,.13-.48,.24-.67,.2-2.61-.76-4.99-2.12-7.53-3.09-2.08-1-2.5,.07-2.74,1.84-.62,3.19-1.23,6.38-1.87,9.57-.12,.63-.21,1.29-1.03,1.8-2.98-.8-5.85-2.15-8.83-2.95-.36-.11-.91,.1-.98,.36-1,3.99-1.71,8.07-2.59,12.09-.16,1.05-.48,1.81-1.9,1.3-2.77-.75-5.46-1.93-8.29-2.35-.2,.26-.42,.42-.47,.62-1.1,3.87-1.74,7.84-2.65,11.76-.23,.65-.4,1.76-1.29,1.77-1.96,.11-8.9-3.4-9.62-1.24-1.03,4.54-2.67,9.04-3.35,13.61-3.58-.78-7.14-1.58M -10.63-2.6,.01,0,.01-.03,.02-.04,1.58-4.4,2.35-9.02,3.58-13.53,.5-1.66,7.41,.95,9.05,1.07,1.03,.23,1.63-.02,1.8-.77,.9-4.25,1.79-8.49,2.71-12.73,.57-1.53,7.77,1.23,9.41,1.4,.31,.07,.95-.17,1.01-.38,1.38-4.34,1.5-9.06,2.87-13.34,.15-.14,.49-.33,.65-.29,2.93,.8,5.82,1.68,8.76,2.44,.87,.13,1.18-.67,1.33-1.32,.65-3.85,1.29-7.69,2.02-11.52,.11-.55,.88-.91,1.51-.71,2.89,.83,5.66,2.06,8.56,2.87,.33,.09,.81-.18,.87-.5,.85-4.13,1.35-8.35,2.55-12.41,.06-.25,.67-.46,.99-.35,2.58,.85,5.03,2.07,7.54,3.09,.81,.38,2.26,1.01,2.53-M .25,.64-2.97,1.25-5.94,1.9-8.91,.41-.91,.29-3.16,1.69-2.89,3.03,1.37,6.01,2.83,8.98,4.32,.47,.23,1.16,0,1.28-.41,.97-3.59,1.94-7.14,2.96-10.72,.41-.94,1.67-.26,2.22,.25,2.15,1.62,4.3,3.26,6.45,4.89,.84,.38,1.94,2,2.84,1.15,1.21-3.3,2.35-6.62,3.55-9.93,.27-.76,1.04-.87,1.82-.28,2.96,2.32,5.75,4.84,8.64,7.25,.36,.31,.73,.62,1.48,.59,1.58-2.88,2.8-6.01,4.19-8.99,.23-.52,.5-1,1.09-1.31,.71,.13,1.13,.57,1.56,.97,2.7,2.55,5.39,5.11,8.09,7.65,.51,.49,.92,1.08,1.93,1.27,2.39-3.02,3.75-6.72,6.21-9.7,4.08,2.89,7,7.2,10.61,10M .65,.4,.43,.74,.91,1.53,.97,2.37-2.1,4.39-5.58,6.58-8.05,.76-.96,.82-1.19,.04-2.01-3.65-3.72-7.19-7.57-10.93-11.21-.4-.35-1.09-.35-1.38,.04-2.06,2.85-4.2,5.74-6.16,8.64-.88-.06-1.29-.49-1.72-.89-2.82-2.61-5.63-5.22-8.47-7.82-.61-.55-1.13-1.22-2.25-1.49-2.15,2.36-3.29,5.59-4.83,8.38-.82,1.8-1.47,1.59-2.69,.55-2.76-2.38-5.64-4.63-8.46-6.94-.47-.37-.93-.79-1.85-.81-2.02,3.25-2.6,7.18-4.55,10.46-.89,.04-1.35-.38-1.84-.74-2.47-1.83-4.94-3.67-7.42-5.48-.74-.43-1.44-1.15-2.37-.9-1.85,3.68-1.88,7.56-3.87,11.24-3.61-1.14-6.M 6-3.44-10.18-4.66-.43-.16-1.14,.14-1.24,.55-.4,1.58-.78,3.16-1.17,4.75-.48,2-.96,4.01-1.47,6.02-.07,.26-.36,.49-.52,.69-3.71-1.02-7.22-2.9-10.87-4.23,.86-4.01,1.73-8.03,2.56-12.05,.13-.57,.81-.81,1.55-.51,2.78,1.1,5.51,2.24,8.26,3.4,1.4,.54,1.91,.54,2.24-.74,.76-2.95,1.59-5.89,2.39-8.84,.17-.63,.32-1.26,1.11-1.8,3.7,1.32,7.02,3.66,10.72,4.95,.2,.03,.57-.11,.66-.26,1.38-2.99,2.3-6.19,3.52-9.25,.46-1.83,1.78-.79,2.8-.15,2.64,1.84,5.26,3.7,7.9,5.54,.5,.34,.91,.81,1.82,.83,1.9-2.48,2.88-5.71,4.43-8.45,.35-.63,.82-1.79,M 1.74-1.26,3.69,2.82,7.25,5.8,11.03,8.52,.76,.31,1.27-.6,1.63-1.09,1.76-2.6,3.28-5.46,5.27-7.88,.92,.01,1.34,.45,1.78,.83,2.62,2.32,5.23,4.64,7.84,6.97,1.18,.92,1.95,2.28,3.54,2.55,2.59-2.65,4.98-5.39,7.82-7.71,1.08,.15,1.49,.75,1.97,1.23,3.69,3.69,7.36,7.41,11,11.16,.35,.36,.98,.4,1.41,.09,3.03-2.13,6.05-4.26,9.06-6.38-1.83-2.48-4.21-4.97-11.06-11.54-.68-.65-1.19-1.46-2.36-1.84-3.67,1.78-6.07,4.87-9.84,6.6-3.76-3.28-7.39-6.56-11.13-9.85-.69-.49-1.63-1.68-2.56-1.13-2.32,2.01-4.19,4.42-6.05,6.82-.35,.44-.62,.95-1.28,M 1.16-4.29-2.66-8.22-6.23-12.28-9.12-.28-.6,.11-.93,.38-1.29,2.12-2.59,3.73-5.64,6.2-7.91,.82-.33,1.66,.56,2.31,.94,3.63,2.72,7.05,5.69,10.79,8.26,.57,.22,1.25-.3,1.65-.66,2.39-2.21,5.2-4.06,7.89-5.92,.87-.05,1.27,.43,1.7,.81,4.05,3.54,8.16,7.11,12.16,10.7,3.9-.52,7.56-2.41,11.36-3.45,.14-.6-.32-1.01-.75-1.4-3.98-3.99-8.56-7.46-12.27-11.69,3.67-1.65,7.71-2.48,11.68-3.63-.13-.35-.14-.69-.36-.89-4.13-3.86-8.46-7.54-12.7-11.28-1.33-1.94,11.59-2.75,12.7-4.04-.15-.75-.84-1.16-1.38-1.62-3.95-3.39-7.98-6.69-11.9-10.11-.39-M .35-.16-.85,.45-.96,2.49-.45,4.99-.91,7.49-1.33,1.97-.33,3.96-.61,5.94-.93,1.3-.63-.74-1.67-1.2-2.25-2.93-2.38-5.87-4.75-8.81-7.12-.39-.32-.7-.65-.46-1.23,5.07-.87,10.41-.93,15.56-1.33,1.43,.12,1.85-.71,.56-1.53-3.12-2.55-6.26-5.08-9.36-7.65-1.26-1.31,.12-1.14,1.16-1.31,5.91-.36,11.85-.19,17.75-.27,1.63-.62-5.98-5.7-6.73-6.66l4.95-3.35c4.15,.16,8.29,.44,12.42,.73,.86-.06,1.93,.44,2.58-.28,.06-.05,.05-.22-.01-.28-2.01-2.12-4.31-3.94-6.45-5.94l4.75-3.22c6.15,.47,12.24,1.4,18.38,1.96,.21,0,.72-.33,.57-.63-2.59-2.99-5.M 74-5.55-8.44-8.45-.32-.4-.81-.7-.55-1.28,5.81-.14,11.76,1.53,17.58,2.18l-2.11,9.52c-1.26-.09-2.92-.82-4.09-.45Z"/><path class="cls-2" d="M1016.73,589.04s-.07,.02-.1,.03c.01-.02,.02-.05,.03-.07,.01,0,.03,0,.04,0,.01,.02,.02,.04,.03,.05Z"/><path class="cls-2" d="M1385.37,689.28c0,2.58-.03,5.17-.06,7.75-.55,1.54-2.55-.48-3.35-.88-16.23-10.8-32.36-21.51-49.11-31.63-13.61-8.1-27.05-16.54-40.92-24.21-.43-.2-1.05,.02-1.09,.52,.39,5.6,1.55,11.13,2.27,16.69,.06,.58,.18,1.58-.67,1.49-20.75-11.98-41.44-24.26-62.84-35.25-5.34-M 2.71-10.54-5.69-16.02-8.14-.27-.12-.81,.3-.81,.51,1.26,5.19,2.77,10.31,4.19,15.46,.08,.44,.3,1.48-.49,1.24-21.5-10.78-42.61-21.95-64.87-31.52-.8-.26-1.71-.82-2.54-.78-.12,.18-.3,.41-.24,.57,1.85,4.84,3.77,9.65,5.65,14.48,.16,1.39-2.16,0-2.76-.25-17.81-8.23-36-16.23-54.66-22.98-.3-.05-.93,.18-.68,.55,.8,1.6,1.58,3.2,2.41,4.79,1.29,2.48,2.63,4.95,3.92,7.44,.13,.48,.84,1.49-.04,1.61-9.73-3.63-19.3-7.65-29.22-11.01-6.28-2.2-12.65-4.26-18.99-6.36-.2-.07-.56-.03-.72,.08-.59,.68,.91,1.92,1.11,2.59,2.03,3.44,5.03,6.71,6.47M ,10.33-.71,.49-1.47-.04-2.19-.23-11.77-4.01-23.69-7.71-35.77-11.07-1.27-.35-2.58-.61-3.88-.87-.18-.03-.45,.14-.64,.26,2.22,4.05,5.98,7.6,8.34,11.71-.32,.12-.59,.32-.77,.28-3.75-.87-7.41-2.07-11.14-3.02l4.42-19.96c8.1,2,16.11,4.22,24.07,6.58,2.52,.75,5.05,1.47,7.59,2.18,.18,.05,.47-.13,.68-.23,.05-.63-.86-1.67-1.19-2.32-2.09-3.14-4.19-6.27-6.26-9.41-.17-.26-.15-.6-.18-.91,0-.06,.21-.21,.3-.19,.65,.1,1.31,.18,1.92,.36,11.4,3.29,22.73,6.73,33.8,10.67,4.55,1.61,9.11,3.21,13.68,4.79,.18,.06,.48-.07,.7-.16,.25-.21-.02-.6M 3-.1-.89-1.74-3.39-3.57-6.74-5.34-10.11-.63-1.47-2.59-3.74,.59-2.73,19.25,6.54,38.07,14,56.7,21.95,2.06,.53,.08-2.79-.14-3.63-1.34-3.28-2.69-6.55-4.01-9.83-.25-.78-.73-1.48-.06-2.21,23.36,9.06,45.8,19.82,68.3,30.65,1.66,.53,.91-1.54,.74-2.4-1.27-4.73-2.73-9.42-3.78-14.2-.05-.37,.62-.47,.82-.41,15.5,6.99,30.72,14.77,45.74,22.55,10.92,5.74,21.72,11.61,32.42,17.62,.88,.49,1.79,.95,2.72,1.39,.12,.05,.6-.12,.63-.24,.25-3.61-.88-7.28-1.18-10.9-.18-2.55-1.09-5.19-.82-7.68,.74-.13,1.29,.2,1.85,.49,2.91,1.56,5.83,3.11,8.72,M 4.69,21.97,12.03,43.55,24.42,64.78,37.55,7.04,4.34,14.07,8.67,21.01,13.14,.65,.44,.97,.99,.97,1.69-.01,3.99,.02,7.97,.02,11.96Z"/><path class="cls-2" d="M658.78,308.89c-1.02-1.05,.27-2.26,.68-3.31,6.82-12.72,14.57-25.08,22.03-37.51-.42-.1-.84-.32-1.09-.23-2.57,.93-5.13,1.9-7.67,2.89-3.63,1.41-7.25,2.85-10.87,4.29-.35,.14-.8,.35-1.03,0-.15-.23-.1-.64,.05-.89,3.58-6.03,7.09-12.09,10.8-18.07,5.55-9.2,11.74-18.09,17.11-27.4-1.33-.5-2.56,.39-3.87,.64-5.4,1.66-10.8,3.34-16.2,5-.61,.1-1.68,.69-1.95-.11,10.34-18.1,22.78-35M .2,34.13-52.74,.23-1.07-2.94,.09-3.55,.04-6.25,1.32-12.48,2.67-18.73,3.99-.43,.11-1.04-.16-.88-.67,12.49-20.08,26.27-39.43,40.16-58.63,.46-.64,.83-1.34,1.2-2.02,.13-.24-.05-.45-.37-.47-.53-.03-1.07-.07-1.59-.01-6.94,.78-13.86,1.65-20.8,2.39-1.68,.37-2.61-.24-1.26-1.71,11.54-16.6,23.19-33.11,35.28-49.36,4.45-6.03,9.06-11.98,13.6-17.97,.21-.28,.47-.53,.63-.83,.6-1.22,2.02-1.31,3.37-1.27,7.41-.01,14.82-.03,22.24-.03,.66,0,1.33,.09,1.97,.21,.15,.03,.38,.39,.31,.51-17.37,22.13-35.49,43.81-51.64,66.73-.13,.21,.32,.69,.64M ,.67,.94-.04,1.89-.04,2.81-.14,6.81-.71,13.6-1.58,20.42-2.18,.21-.02,.54,.11,.64,.26,.1,.15,.08,.43-.03,.59-1.51,2.04-3.02,4.08-4.59,6.08-13.05,16.73-25.6,33.56-37.62,50.89-.27,.46-.95,1.38-.11,1.58,7.22-1.25,14.35-2.9,21.53-4.36,2.54-.38,.93,1.06,.2,2.2-3.46,4.74-6.94,9.48-10.4,14.22-8.13,11.59-16.97,23.01-23.97,35.06,.23,.08,.52,.21,.73,.16,1.53-.41,3.05-.85,4.56-1.3,4.92-1.47,9.83-2.94,14.75-4.41,.63-.09,1.63-.7,2.06,.03-9.05,13.86-19.07,27.47-27.77,41.55-.45,.96-1.49,1.83-1.38,2.9,.03,.21,.6,.25,1.1,.06,5.72-2.M 18,11.44-4.33,17.17-6.48,.73-.27,1.5-.48,2.25-.7,.15-.02,.46,.27,.42,.43-7.76,12.42-16.29,24.43-23.73,37.06-1.75,2.93,.23,1.91,2.16,1,5.17-2.31,10.34-4.63,15.52-6.93,.45-.2,.99-.26,1.5-.35,.07-.01,.28,.15,.27,.21-.67,1.9-2.06,3.5-3.07,5.25-5.4,8.31-10.38,16.79-15.43,25.25-1.7,3.06-3.15,4.82,1.78,2.25,4.8-2.39,9.58-4.81,14.39-7.2,.44-.22,.97-.33,1.47-.46,.06-.02,.3,.15,.28,.2-1.7,4-4.58,7.51-6.62,11.36-3.34,5.76-6.6,11.55-9.86,17.34-.15,.26-.05,.61-.03,.92,0,.06,.2,.17,.25,.15,7.11-3.51,13.83-7.88,20.81-11.68,1-.44,M 2.36-1.44,3.41-1.52,.1,.18,.27,.42,.2,.57-.46,.89-1,1.76-1.49,2.64-3.98,7.07-7.97,14.13-11.93,21.21-.26,.47-.7,.93-.51,1.5,.03,.08,.22,.19,.26,.18,8.45-4.23,16.26-9.65,24.61-14.09,.16,.26,.41,.47,.35,.59-.32,.7-.68,1.4-1.08,2.07-3.75,6.33-6.96,12.84-10.37,19.28-.21,.39-.44,.79,.04,1.3,7.88-4.63,15.87-9.21,23.95-13.65,1.96-1.01,1.74-.05,.98,1.43-3.26,5.9-6.67,11.72-9.63,17.78-.13,.25-.12,.47,.19,.54,1.37,.03,2.48-1.22,3.71-1.74,5.91-3.39,11.82-6.79,17.75-10.15,1.42-.8,2.94-1.49,4.45-2.19,.12-.06,.44,.14,.73,.25-3.23M ,5.64-6,11.51-8.95,17.29-.11,.22,0,.4,.31,.49,8.94-4.02,17.43-9.5,26.45-13.59,.65-.22,1.22-.17,.88,.79-2.56,4.85-5.33,9.61-7.56,14.62-.09,1.73,3.25-.76,4.01-.95,6.73-3.37,13.45-6.77,20.36-9.91,1.4-.64,2.84-1.22,4.27-1.81,.3-.13,.54-.04,.66,.21-1.47,4.79-4.91,9.27-6.76,14.07-.06,.15,.14,.38,.27,.54,.83,.02,1.75-.56,2.54-.82,10.12-4.51,20.59-8.48,30.91-12.67,.93-.24,1.99-1,2.93-.48,.07,.03,.1,.2,.06,.27-.35,.7-.69,1.4-1.07,2.08-1.79,3.25-3.6,6.49-5.39,9.75-.16,.47-.61,1.03-.38,1.51,.13,.24,.37,.33,.66,.23,1.36-.46,2.M 74-.89,4.08-1.39,10.51-3.89,21.05-7.71,31.81-11.15,1.13-.21,2.29-1.1,3.4-.46-1.97,4.34-4.65,8.45-6.58,12.8,.89,.61,1.74,.02,2.66-.17,13.66-4.28,27.49-8.43,41.48-11.74l-.07-.12c-2.13,3.8-4.09,7.69-6.08,11.56-.2,.58-.96,1.75,.02,1.9,15.7-3.68,31.45-7.15,47.38-10.16l-.09-.08c-1.61,3.68-3.54,7.21-5.35,10.79-.33,.84-1.66,2.59,.1,2.6,14.11-2.36,28.3-4.29,42.51-6.03,2.79-.34,5.61-.55,8.42-.78,.3-.02,.64,.19,1.05,.33-1.21,3.07-2.69,5.89-4.07,8.87-2,4.21-2.07,3.85,3.5,3.56,10.85-1.02,21.73-1.5,32.61-1.9,6.73-.31,13.45-.59,2M 0.18-.52,.62,.08,1.8-.16,1.96,.63-1.2,4.1-3.38,7.9-4.64,11.99-.17,1.6,3.73,.79,4.83,1.05,21.34,.64,42.78,1.17,63.98,3.77l-.13-.08c-1.69,4.73-2.86,9.71-4.85,14.29l.13-.09c-23.16-2.39-46.38-4.12-69.67-4.52l.11,.09c3.13-7.83,4.43-11.51,4.58-13.01,.01-.1-.08-.2-.16-.4-18.81-.34-37.67,.56-56.45,1.73-.66-.08-2.7,.41-2.64-.69,1.31-3.63,2.89-7.17,4.32-10.75,.56-1.86-4.5-.61-5.51-.71-15.34,1.55-30.6,3.66-45.82,6.05-.52,.08-1.08-.38-.94-.77,1.24-3.32,2.86-6.5,4.26-9.75,1.37-2.83-1.53-1.57-3.12-1.44-13.43,2.7-26.87,5.32-40.15M ,8.66-.77,.03-3.02,1.03-3.09-.14,1.26-3.67,3.19-7.08,4.75-10.62,.37-1.32-.54-1.29-1.85-.9-12.84,3.44-25.75,7.01-38.29,11.22-.59,.2-1.28,.25-1.92,.35-.07,.01-.27-.16-.25-.23,.92-3.73,3.08-7.1,4.51-10.67,1.42-2.49-.84-1.58-2.25-1.13-5.44,1.87-10.92,3.68-16.31,5.63-6.13,2.22-12.2,4.55-18.3,6.84-.63,.29-2.07,.8-1.9-.36,1.56-3.56,3.34-7.04,4.97-10.58,.13-.63,1.06-1.67,0-1.9-11.54,3.97-22.74,9.28-33.92,14.08-.45-.46-.42-.87-.24-1.29,1.68-4.09,3.51-8.12,5.09-12.25,.02-.07-.1-.19-.2-.26-.69-.23-1.76,.56-2.46,.77-7.89,3.73-M 15.53,7.76-23.19,11.78-1.28,.68-3.7,2.18-2.43-.63,1.85-4.38,4.05-8.63,5.66-13.09-.32-.76-1.46,.15-1.97,.31-5.11,2.8-10.24,5.59-15.3,8.44-3.26,1.61-6.06,4.15-9.45,5.34-.36-.47-.11-.87,.06-1.27,2.09-4.77,4.19-9.54,6.27-14.32,.85-2.51-2.72,.34-3.53,.68-6.56,3.96-13.12,7.92-19.67,11.88-.72,.37-1.53,1.16-2.36,1.05-.15-.07-.26-.4-.19-.56,2.34-5.53,5.11-10.88,7.64-16.33,.76-1.51,.53-1.99-1.08-1.17-7.47,4.2-14.43,8.95-21.6,13.58-.48,.31-1.02,.95-1.65,.54-.6-.39-.02-1.02,.19-1.49,2.44-5.36,4.75-10.76,7.51-16.02,.83-1.92,2.4M 9-4.34-.93-2.22-6.13,3.87-12.25,7.76-18.37,11.64-1.05,.67-2.11,1.34-3.19,1.98-.14,.08-.47,0-.69-.05-.07-.01-.15-.19-.12-.27,.25-.61,.49-1.23,.79-1.83,3.19-6.52,6.39-13.03,9.58-19.54,.92-1.96,.68-2.39-1.27-1.24-5.18,3.27-10.35,6.56-15.52,9.84-1.9,1.2-3.79,2.41-5.71,3.6-.18,.07-.86,.03-.79-.34,3.65-9.07,9-17.47,13.08-26.39,.04-.15-.31-.41-.49-.33-.7,.32-1.42,.61-2.07,.99-5.04,2.88-10.01,5.86-15.06,8.71-1.47,.46-.23-1.64-.02-2.22,4.49-9.46,9.56-18.75,14.69-27.99,.16-.63-.18-1.03-1.08-.53-5.77,2.96-11.45,6.06-17.2,9.07M -.15,.08-.48-.04-.71-.11-.29-.43,.28-1.04,.42-1.48,5.62-10.54,11.28-20.98,17.5-31.24,.49-1.01,2.46-3.34-.17-2.48-5.94,2.95-12.25,5.31-17.96,8.65h.05Z"/><path class="cls-2" d="M655.29,1059.86c8.98-4.12,17.66-8.8,26.41-13.35,.55-.29,1.07-.66,1.81-.44l-.09-.07c.34,.65,.03,1.26-.23,1.86-1.38,3.13-2.77,6.25-4.17,9.38-.51,1.2-1.31,2.32-1.2,3.67-.3,.04-.32,.08-.07,.14v-.2c.55,.16,1.02-.01,1.47-.27,2.09-1.17,4.18-2.34,6.29-3.48,5.67-3.07,11.33-6.15,16.68-9.57,.82-.53,1.89-1.2,2.8-.49l.06-.08c-.78,.64-.99,1.51-1.34,2.31-1.3M 8,3.15-2.71,6.31-4.07,9.46-1.96,4.49-3.11,5.98,2.25,2.59,6.12-3.7,12.24-7.4,18.36-11.11,.98-.43,2.24-1.86,3.3-1.51,.26,.31,.13,.61,0,.91-2.35,5.16-4.87,10.26-7.28,15.4-.2,.67-.94,1.46-.29,2.05,.04,.05,.29,.04,.38-.01,8.21-4.6,15.88-9.97,23.89-14.88,.17,.26,.39,.45,.35,.58-.3,.82-.63,1.64-.99,2.45-2.48,5.57-5,11.14-7.85,16.6-.2,.38-.53,.75-.32,1.2,.04,.08,.22,.2,.26,.18,.47-.19,.98-.35,1.39-.61,6.65-4.21,13.29-8.43,19.93-12.65,.84-.43,1.72-1.25,2.64-1.39,.62,.75-.46,1.87-.7,2.68-2.95,6.01-5.9,12.01-8.85,18.02-.39,.8M -.73,1.61-1.07,2.43-.03,.08,.06,.2,.11,.29,.11,.21,.37,.3,.64,.13,3.11-1.88,6.24-3.75,9.3-5.68,4.33-2.73,8.61-5.52,12.93-8.27,.13-.08,.47,.01,.7,.06,.3,.3-.16,.83-.25,1.18-3.63,7.92-7.74,15.62-11.8,23.33-.36,.69-.66,1.4-.97,2.11-.03,.08,.04,.25,.11,.27,1.1,.31,2.06-.77,3.03-1.16,4.25-2.47,8.48-4.95,12.73-7.42,.75-.44,1.39-1.04,2.39-1.13l-.06-.09c.41,.88-.12,1.62-.5,2.42-4.09,8.61-8.57,17.09-13.29,25.49-.52,1.08-1.51,2.04-1.41,3.29l-.12-.07c1.58,.05,2.83-1.06,4.2-1.69,4.13-2.21,8.25-4.43,12.38-6.63,.75-.28,1.6-.99,2M .41-.88,.09,.07,.21,.2,.18,.27-.31,.71-.61,1.42-.97,2.11-5.43,10.28-11.03,20.5-17.09,30.56-.41,.67-.76,1.37-1.07,2.08-.07,.15,.1,.38,.22,.56,5.95-1.94,11.63-5.35,17.46-7.83,.58-.27,1.14-.58,1.86-.35l-.09-.06c.2,.56-.05,1.05-.33,1.55-4.01,7.06-7.95,14.14-12.05,21.16-3.19,5.46-6.6,10.84-9.9,16.26-.23,.38-.37,.8-.52,1.21-.02,.06,.11,.19,.21,.25,.83,.19,1.75-.44,2.57-.64,4.96-1.94,9.91-3.89,14.86-5.84,.95-.24,1.91-1.11,2.9-.64,.08,.03,.15,.19,.12,.26-.23,.5-.45,1.01-.73,1.5-8.29,15.12-18.76,29.66-27.1,44.62,.07,.08,.23M ,.2,.3,.18,.9-.21,1.81-.42,2.68-.69,5.4-1.66,10.8-3.34,16.2-5,.93-.2,1.79-.74,2.68-.11-10.61,18.11-22.71,35.48-34.36,52.94,.81,.47,1.46,.34,2.11,.2,6.37-1.37,12.73-2.77,19.1-4.14,.67-.1,2.3-.56,2.11,.48-9.1,14.78-19.09,28.96-29.05,43.24-3.64,5.16-7.38,10.27-11.06,15.41-.46,.65-.83,1.34-1.2,2.02-.25,.58,.8,.51,1.14,.53,6.94-.77,13.86-1.62,20.8-2.36,1.94,0,3.71-.53,1.91,1.96-16.21,23.36-32.68,46.57-50.21,69-8.32,.47-16.69,.07-25.03,.19-.68,0-1.83,.05-1.97-.65,16.6-21.39,34.08-42.35,49.78-64.21,.68-.92,1.31-1.88,1.94-M 2.82,.17-.25-.21-.74-.53-.72-1.87,.12-3.74,.37-5.61,.56-4.8,.55-9.59,1.12-14.39,1.65-.86-.07-4.46,.89-3.99-.61,12.06-15.94,24.37-31.75,35.83-47.98,2.07-2.9,4.1-5.82,6.12-8.74,.32-.46,.55-.97,.75-1.48,.03-.08-.3-.37-.47-.37-6.8,1.15-13.54,2.84-20.32,4.17-.71,.03-1.67,.45-2.33,.12-.09-.18-.21-.43-.13-.56,.49-.76,1.03-1.51,1.58-2.25,11.62-16.01,23.47-31.86,33.9-48.46-.75-.5-1.48-.12-2.26,.08-6.55,1.74-13.08,4.4-19.66,5.61-.64-.61,.38-1.38,.67-1.96,7.31-10.06,14.05-20.36,20.87-30.63,2.59-3.9,5.02-7.86,7.51-11.79,.15-.2M 3,.05-.44-.23-.54-1.92-.01-3.67,1.27-5.5,1.8-4.89,1.77-9.71,3.79-14.66,5.39-.24,.04-.94-.12-.73-.46,8.27-12.7,16.96-25.14,24.33-38.27,.06-.13-.14-.37-.27-.53-.04-.05-.27-.04-.37,0-5.94,2.49-11.76,5.23-17.67,7.8-.45,.2-.99,.29-1.49,.4-.07,.01-.29-.15-.28-.21,.57-1.92,2.04-3.49,3.02-5.24,5.95-9.42,11.84-18.78,17.15-28.5,.01-.33-.37-.64-.76-.39-5.88,2.8-11.66,5.81-17.5,8.68-.32,.08-1.15,.42-1.35-.01,4.39-8.02,9.55-15.66,13.85-23.68,.93-1.67,1.82-3.36,2.69-5.05,.27-.52,.16-1.06-.26-1.52,.07,.05,.13,.09,.2,.13-.22,.06-.M 24,0-.06-.17-7.03,4.98-15.08,8.67-22.5,13.12-2.84,1.46-2.09,.13-.96-1.71,4.14-7.37,8.27-14.73,12.4-22.1,.15-.4,.75-1.16,.41-1.48-.75-.31-1.36,.34-2,.64-6.4,3.76-12.8,7.53-19.21,11.29-.98,.57-1.96,1.14-2.98,1.67-.16,.08-.55,.05-.69-.05-.41-.72,.74-1.9,1.02-2.63,3.59-6.03,6.64-12.24,9.87-18.4,1.31-2.54-.57-1.62-1.93-.69-6.85,4.37-14.19,8.2-21.34,12.24-2.41,1.22-2.06,.19-1.09-1.64,3.13-5.71,6.48-11.33,9.32-17.18,.12-.25-.06-.59-.12-1.06-7.5,4.15-14.74,8.42-22.18,12.63-1.09,.62-2.26,1.17-3.4,1.75-.29,.14-.53,.09-.65-.1M 1-.24-.49,.33-1.02,.48-1.5,2.62-5.07,5.25-10.14,7.87-15.22,.21-.4,.41-.8-.04-1.3-6.91,3.43-13.62,7.26-20.48,10.82-1.91,1.01-3.88,1.94-5.83,2.9-.46,.23-.91,.21-1.08,.03-.3-.32-.09-.61,.06-.89,1.58-2.97,3.2-5.93,4.76-8.91,.94-1.79,1.82-3.59,2.67-5.4,.12-.25-.08-.59-.13-.9-8.32,3.41-16.12,7.89-24.31,11.65-1.48,.6-3.08,1.57-4.63,1.82-.12-.17-.3-.39-.24-.54,2.08-4.45,4.44-8.78,6.63-13.18,.2-.4,.27-.83-.21-1.3-11.87,4.75-23.78,10.46-35.92,14.33-.1-.18-.27-.42-.2-.56,2-3.89,4.25-7.67,6.31-11.53,.31-.58,.46-1.22,.66-1.84,.M 02-.06-.16-.22-.26-.22-13.02,4.02-25.62,9.68-38.89,13.29-.19,.04-.47-.12-.67-.22-.18-.56,.55-1.52,.76-2.11,1.76-3.49,3.9-6.82,5.39-10.43,.06-.15-.14-.38-.27-.55-13.58,3.73-27.11,8.33-40.96,11.68-.76,.19-.75,.21-2-.14,2.11-3.83,4.02-7.75,5.98-11.64,.38-.75-.53-.87-1.06-.89-11.63,2.69-23.23,5.53-35,7.78-3.53,.62-7.03,1.67-10.62,1.88-1.19-.25-.03-1.55,.18-2.21,1.63-3.3,3.51-6.49,4.88-9.91,.18-.75-.86-.73-1.35-.66-9.64,1.55-19.27,3.17-28.96,4.38-4.52,.59-9.04,1.16-13.57,1.7-2.86,.15-5.86,1.04-8.68,.57-.17-.87,.38-1.53,M .69-2.22,1.1-2.43,2.28-4.84,3.41-7.25,.41-1.15,2.2-3.35-.28-3.28-12.35,.86-24.7,1.8-37.08,2.13-6.06,.2-12.11,.6-18.18,.52-.8-.01-1.61-.06-2.4-.15-.16-.02-.41-.32-.38-.46,1.09-4.23,3.71-8.04,4.58-12.32,.05-.26-.11-.44-.42-.48-3.86-.47-7.79-.31-11.68-.44-18.92-.58-38-1.17-56.75-3.58l.15,.14c1.91-4.66,3.2-9.56,4.88-14.31l-.12,.09c23.14,2.58,46.4,3.98,69.68,4.52l-.11-.09c-1.54,4.12-3.08,8.25-4.61,12.37-.21,.56,.26,1.04,1.01,1.08,10.64,.2,21.29-.28,31.92-.56,8.47-.36,16.92-1.04,25.4-1.35,.37-.02,.81,.36,.75,.62-.98,3.81M -2.92,7.37-4.23,11.09-.11,.28,.27,.69,.61,.7,16.96-1.07,33.81-3.92,50.62-6.36,.63-.09,1.06,.28,.89,.74-1.15,3.12-2.65,6.1-3.96,9.15-.29,.77-1.34,2.34,.16,2.4,14.94-2.45,29.74-5.92,44.47-9.4,.45-.03,1.17-.2,1.41,.19-1.22,3.98-3.51,7.65-5,11.56-.12,.28,.36,.61,.76,.52,8.74-2.04,17.32-4.73,25.93-7.18,5.06-1.45,9.98-3.28,15.04-4.69,1.16-.03,.58,1.14,.31,1.8-1.42,3.14-2.85,6.27-4.26,9.41-.08,.34-.53,1.34,.02,1.42,4.33-.91,8.5-2.71,12.7-4.07,8.61-2.93,17.04-6.73,25.69-9.29,.62,.51,.15,1.2-.07,1.79-1.62,3.42-3.25,6.84-4.8M 9,10.26-.2,.41-.33,.82,.12,1.22,11.7-4.03,22.99-9.58,34.27-14.16,.11,.05,.24,.18,.23,.25-.15,.63-.26,1.28-.51,1.88-1.41,3.37-2.87,6.72-4.3,10.08-.26,.61-.52,1.23-.09,1.85-.07-.09-.14-.17-.2-.25l.2,.19Z"/><path class="cls-2" d="M553.63,1221.01c-.99-1.21,.96-2.1,1.6-2.98,7.4-7.4,14.81-14.8,22.21-22.2,.42-.58,1.48-1.05,1.14-1.84-.02-.06-.25-.13-.34-.1-11.26,3.15-22.38,6.82-33.6,10.15-.88,.27-1.78,.5-2.68,.71-.15,.03-.41-.17-.56-.29,6.26-7.42,13.83-14.29,20.52-21.53,.3-.45,2.03-1.94,.98-2.07-4.34,1.04-8.56,2.56-12.81,3M .88-7.85,2.57-15.83,4.85-23.83,7.1-.63,.18-1.25,.4-1.91,.04,.05-.81,.8-1.33,1.36-1.91,5.72-6.37,12.2-12.27,17.55-18.9-.56-.28-1.09-.24-1.6-.09-3.04,.88-6.08,1.75-9.1,2.65-9.46,2.82-19.07,5.29-28.63,7.88-.57,.2-1.39,.33-1.91,.1-.7-.45,1.48-2.09,1.78-2.63,4.26-4.71,8.52-9.42,12.76-14.15,.61-.68,1.42-1.29,1.55-2.2-.78-.32-1.55,0-2.31,.18-11.2,3.09-22.59,5.7-33.9,8.5-2.3,.57-4.6,1.22-7.02,1.43-.2,.02-.45-.15-.63-.27,0-.97,1.21-1.69,1.73-2.47,4.1-4.81,8.44-9.42,12.37-14.36,.2-1.29-3-.06-3.73-.03-14.45,2.97-28.85,6.51-43M .43,8.67-1.12-.1,.51-1.67,.75-2.14,3.29-4.07,6.61-8.12,9.9-12.19,1.78-2.11,1.78-2.79-1.19-2.26-12.44,2.39-25.04,4.15-37.6,6.06-3.57,.54-7.17,.93-10.76,1.38-.25,.03-.72-.05-.74-.12-.22-.8,.4-1.41,.85-2.01,3.25-4.47,6.69-8.81,9.8-13.37,.16-.24-.21-.71-.56-.68-5.9,.35-11.73,1.31-17.6,1.93-13.24,1.27-26.49,2.51-39.77,3.36l.06,.11c2.63-4.5,5.53-8.83,8.38-13.21,2.08-3.14,1.69-3.19-2.22-3.03-20.4,.87-40.81,1.6-61.24,1.27l.09,.1c2.32-5.29,5.41-10.25,7.79-15.52,.2-.4-.19-.92-.72-.95-2.01-.11-4.01-.28-6.02-.29-22.53-.46-45.0M 3-2.07-67.48-4.03l.14,.11c2.14-5.86,4.22-11.74,6.44-17.58l-.11,.09c25.19,3.46,50.75,4.12,76.13,5.85l-.15-.09c-1.9,4.75-4.43,9.24-6.62,13.86-.29,.65-.91,1.68,.16,1.94,18.02,.81,36.11,.21,54.14-.29,3.23-.1,6.46-.23,9.69-.34,.71-.02,1.16,.58,.86,1.13-2.46,4.2-5.06,8.33-7.59,12.49-.52,.8-1.08,1.9,.57,1.86,13.42-.78,26.85-1.79,40.2-3.24,5.34-.53,10.67-1.33,16.03-1.56,.35,0,.79,.43,.65,.65-3.02,4.86-6.62,9.35-9.71,14.16-.17,.26,.18,.7,.54,.66,2.27-.24,4.55-.42,6.79-.75,14.85-2,29.6-4.63,44.39-6.94,.35-.04,.76,.42,.59,.66M -3.19,4.67-6.86,9-10.25,13.53-.41,.53-.92,1.04-.92,1.79,7.26-.63,14.43-2.7,21.62-3.97,8.07-1.69,16.18-3.3,24.13-5.34,.59-.07,1.4-.36,1.94-.09,.1,.16,.25,.4,.17,.53-.43,.67-.9,1.32-1.41,1.96-3.61,4.54-7.43,8.94-10.92,13.58-.06,.08-.09,.27-.03,.31,.73,.62,1.74,.04,2.57-.05,12.66-2.98,25.22-6.2,37.68-9.67,1.43-.22,2.9-1.18,4.31-.58-4.22,5.45-8.91,10.5-13.32,15.79-.45,.53-.84,1.08-1.24,1.64-.05,.07,0,.22,.06,.29,.75,.34,1.87-.2,2.68-.3,13.02-3.22,25.81-7.97,38.65-11.08,.09,.16,.23,.41,.14,.52-.55,.74-1.13,1.46-1.75,2.1M 6-4.35,4.93-8.71,9.85-13.06,14.78-.54,.61-1,1.27-1.47,1.91-.04,.06,0,.2,.05,.25,.63,.35,1.61-.13,2.28-.23,12.24-3.68,24.43-8.35,36.67-11.62,.29,.12,.2,.51-.35,1.12-5.98,6.96-12.51,13.47-18.56,20.36-.07,1.12,1.45,.3,2.06,.2,11.82-3.89,23.84-7.26,35.29-11.96l-.12,.07c.34,.37,.53,.77,.18,1.18-.76,.89-1.53,1.77-2.33,2.63-6.31,7.15-13.68,13.84-19.43,21.26,.07,.08,.25,.19,.33,.17,.89-.24,1.78-.48,2.64-.77,9.65-3.28,19.29-6.57,28.93-9.85,1.09-.23,2.23-1.08,3.34-.65,.09,.52-.76,1.19-1.05,1.66-7.85,8.81-15.99,17.7-24.73,25.M 86,.3,0,.33,.04,.11,.12l-.03-.22c1.44,.79,3.09-.36,4.54-.67,8.33-2.76,16.65-5.54,24.97-8.31,.62-.21,1.2-.5,1.9-.17-7.52,9.73-16.62,18.51-25.08,27.66-.9,.93-1.73,1.9-2.58,2.87-.05,.06,0,.21,.07,.29,.07,.08,.23,.18,.31,.17,.78-.17,1.56-.33,2.31-.56,7.03-2.16,14.06-4.34,21.09-6.5,1.38-.42,2.77-.83,4.17-1.21,.15-.04,.41,.14,.58,.26,.05,.04,0,.23-.06,.3-10.07,11.44-20.92,22.19-31.46,33.21-1.87,2.01-1.86,2.37,.99,1.71,7.29-1.9,14.58-3.82,21.87-5.73,1.34-.21,2.57-1.03,3.93-.57-7.36,8.35-15.49,16.02-23.29,23.98-5.46,5.71-1M 1.72,10.95-16.8,16.89-.01,.63,1.63,.15,2.11,.09,8.22-1.68,16.46-3.28,24.73-4.75,1.07,.32,.42,.82-.13,1.42-2.86,2.86-5.7,5.73-8.59,8.57-9.11,8.96-18.39,17.76-27.68,26.55-3.57,3.37-7.21,6.69-10.81,10.03-.25,.33-.83,.67-.63,1.11,.52,.42,1.58,.11,2.25,.16,7.47-.45,15-1.72,22.46-1.67,.83,.58-.81,1.53-1.16,2.07-17.91,17.01-35.86,33.97-54.34,50.41-2.48,2.24-2.01,2.08-5.87,2.09-6.74,.01-13.47,.02-20.21,.02-2.4-.1-4.33,.1-1.28-2.38,16.8-14.2,33.43-28.68,49.65-43.37,2.15-1.93,4.15-3.96,6.2-5.95,.21-.33-.3-.52-.54-.66-8.51,.9M 1-17.07,1.93-25.6,2.78-.22,.02-.59-.07-.68-.2-.19-.79,.95-1.27,1.4-1.82,8.86-7.97,17.79-15.88,26.57-23.91,6.29-5.76,12.38-11.66,18.54-17.5,.46-.58,1.41-1.12,.99-1.92,0,.23,.08,.27,.28,.14l-.26-.05c-9.22,1.37-18.33,3.41-27.51,5.03-.88-.17-.68-.54-.11-1.1,13.42-12.44,27.78-24.76,39.62-38.08-.07-.08-.24-.18-.33-.16-.91,.17-1.83,.34-2.73,.56-8.88,2.13-17.71,4.48-26.61,6.49-.18,.04-.44-.12-.64-.22,0-.6,1.11-1.32,1.51-1.83,11.31-10.7,22.99-20.99,33.63-32.35-1.62-.39-2.8,.4-4.31,.74-8.86,2.54-17.72,5.07-26.59,7.6-1.1,.28-M 2.38,.81-3.43,.12l.04,.03c10.14-8.99,19.5-18.92,29.36-28.24,.38-.46,1.23-.96,1.07-1.59-.11-.13-.49-.22-.69-.16-1.02,.27-2.02,.58-3.02,.88-7.02,2.16-14.03,4.33-21.06,6.47-3.41,1.21-7.22,1.72-10.44,3.32h.05Z"/><path class="cls-2" d="M374.96,214.19c-.59,.32-1.22,.43-1.91,.24-3.81-1.08-7.62-2.14-11.42-3.23-2.81-.68-5.53-1.9-8.39-2.25-.22,0-.57,.16-.63,.31-3.76,20.55-5.39,41.55-7.33,62.36-.06,2.49-1.66,1.24-3.14,.79-5.27-2.16-10.54-4.34-15.81-6.5-.59-.23-1.68-.78-2.04-.01-1.63,18.12-1.7,36.38-2.24,54.57,.04,1.96-1.48,1.M 06-2.57,.51-4.35-2.35-8.7-4.72-13.04-7.08-1.1-.32-4.24-3.26-4.77-1.41-.21,16.36,.99,32.75,1.46,49.06-.97,.38-1.69-.33-2.48-.75-4.69-3.07-9.36-6.16-14.04-9.24-1.15-.57-2.24-1.94-3.56-1.9-.19,.06-.44,.3-.43,.45,.25,4.09,.48,8.17,.82,12.26,.77,9.13,1.75,18.26,2.64,27.38-.09,.94,.94,5-.21,4.93-.36-.1-.76-.18-1.03-.38-6-4.28-11.73-8.88-17.56-13.38-.48-.33-.91-1.01-1.64-.64-.62,.31-.3,.97-.28,1.48,.03,.65,.1,1.29,.19,1.93,1.43,12.55,3.63,25.04,5.16,37.56-1.12,.12-1.8-.79-2.63-1.36-5.58-4.68-11.14-9.37-16.72-14.05-.7-.42-M 2.6-2.8-2.99-1.15,1.64,12.44,4.59,24.77,6.22,37.19-2.11-.55-3.3-2.49-4.97-3.76-5.49-5.04-10.96-10.08-16.45-15.12-.78-.58-1.35-1.58-2.45-1.46,1.44,10.54,4.19,21.04,6.07,31.57,.19,.96,.34,1.92,.46,2.88,.02,.13-.28,.3-.47,.41-.94-.28-1.91-1.63-2.73-2.27-6.71-6.61-13.41-13.22-20.11-19.83-.88-.7-1.44-1.84-2.69-1.85,.85,7.37,3.03,14.65,4.38,21.98,.61,2.87,1.25,5.73,1.86,8.59,.11,.52,.24,1.06-.09,1.56-.03,.05-.29,.07-.38,.03-1.95-1.11-3.27-3.11-4.91-4.63-6.84-7.21-13.68-14.42-20.52-21.63-.79-.64-1.37-1.91-2.48-1.96-.13,.0M 1-.33,.31-.3,.46,.22,1.28,.47,2.56,.74,3.83,1.23,5.73,2.47,11.46,3.7,17.19,.55,2.55,1.1,5.09,1.62,7.64,.06,.28-.11,.6-.21,.89-.55,.19-1.34-.8-1.74-1.13-9.82-10.66-19.46-21.48-29.37-32.06-.12-.12-.48-.1-.74-.12-.03,0-.13,.19-.12,.28,1.36,9.1,3.48,18.08,5.22,27.11-.3,1.4-1.77-.61-2.18-1.04-11.39-12.38-21.85-25.95-33.44-37.95-1.08-.23-.21,2.39-.31,2.95,1.04,7.47,3.02,15.02,3.51,22.46-1.46-.35-2.11-1.82-3.09-2.82-10.26-12.26-20.52-24.53-30.79-36.79-1.95-2.32-3.91-4.64-5.9-6.94-.1-.12-.48-.1-.73-.11-.45,.42-.18,1.27-.17M ,1.83,.68,6.22,1.37,12.44,2.04,18.67,.07,.64,.03,1.28,.02,1.93-.09,.36-.77,.17-.92,.07-14.72-17.71-28.96-35.82-43.51-53.67-.76-.96-1.73-1.94-1.56-3.24-.02-6.25-.05-12.5-.06-18.74,0-.3,.16-.61,.29-.9,.02-.05,.32-.11,.37-.07,13.69,15.93,26.51,32.72,39.95,48.91,.89,.84,1.61,2.54,2.94,2.5-.15-5.27-1.03-10.5-1.46-15.76-.23-2.25-.46-4.51-.67-6.76,.27-1.08,1-.43,1.51,.1,11.32,13.51,22.64,27.02,33.98,40.53,.6,.55,2.9,3.82,3.2,2.29-1.06-8.42-2.96-16.94-3.56-25.32,1.02-.11,1.51,1,2.17,1.6,9.73,11.12,19.46,22.24,29.2,33.36,.4M 8,.5,3.01,3.83,2.99,1.58-1.57-8.74-3.24-17.46-4.72-26.21-.07-.41,.07-.84,.13-1.25,0-.02,.3-.06,.38,0,9.92,9.99,19.11,20.86,28.81,31.13,.3,.32,.51,.76,1.13,.81,.09,0,.28-.1,.28-.16-.18-3.99-1.36-7.87-1.99-11.81-1.15-6.07-2.29-12.14-3.43-18.2-.24-1.15,.95-.8,1.33-.31,3.2,3.33,6.41,6.66,9.62,9.98,4.78,4.94,9.58,9.88,14.38,14.8,.58,.59,1.23,1.13,1.87,1.68,.12,.08,.58-.02,.63-.18-1.01-9.08-3.56-18.05-4.78-27.15-.31-1.81-.59-3.63-.84-5.45,.37-1.46,1.7,.35,2.36,.82,6.43,6.23,12.85,12.47,19.28,18.7,.85,.83,1.78,1.61,2.71,2M .38,.11,.09,.49-.01,.87-.03-.91-8.79-3-17.47-4.18-26.24-.42-3.2-1.25-6.38-1.34-9.61,.44-.82,2.11,.99,2.64,1.33,5.49,4.89,10.95,9.8,16.43,14.7,2.8,2.21,5.28,5.88,4.09-.63-1.12-7.59-2.28-15.18-3.2-22.79-.34-4.38-1.59-8.8-1.39-13.16,.7-.63,1.83,.69,2.46,1.05,4.85,3.9,9.67,7.81,14.52,11.7,1.33,1.07,2.71,2.09,4.1,3.11,.13,.1,.49,.03,.73-.02,.08-.01,.18-.18,.17-.28-.22-2.47-.43-4.93-.68-7.4-.96-8.9-1.86-17.81-2.61-26.73-.24-2.79-.41-5.59-.62-8.39-.03-.44,.21-.76,.49-.79,.45-.05,.75,.15,1.04,.35,3.85,2.69,7.69,5.41,11.56,M 8.09,2.34,1.62,4.72,3.21,7.1,4.79,.16,.11,.53,.13,.74,.06,.76-.35,.39-1.39,.46-2.06-.29-5.06-.79-10.1-.85-15.17-.38-9.58-.95-19.16-.99-28.75,.13-.88-.28-2.49,1.04-2.35,5.78,3.08,11.33,6.59,17.03,9.83,.86,.23,2.3,1.78,2.98,.68,.17-18.2,.43-36.4,1.1-54.59l-.14,.05c6.28,2.66,12.5,5.46,18.76,8.17,1.13,.35,3.11,1.59,3.06-.53,1.41-20.5,3.06-41,5.82-61.38l-.13,.12c6.79,2.07,13.6,4.07,20.4,6.1,.63,.19,1.27,.36,2.08,.01,2.87-19.84,6.37-39.63,10.07-59.34,.7-3.72,1.53-7.43,2.31-11.14,.2-.95,.71-1.2,2.01-1.04,5.96,.81,11.9,1.7M 8,17.84,2.66,1.32,.2,2.63,.46,3.93,.73,.79,.33,.4,1.43,.35,2.09-3.26,14.48-6.46,28.99-9.21,43.56-1.82,9.13-3.38,18.29-4.97,27.45-.08,.43-.11,.85,.18,1.25h0Z"/><path class="cls-2" d="M1061.9,1228.43c5.16,.76,10.15,2.88,15.25,4.12,1.61,.13,7.1,3.06,7.29,.51,2.55-17.85,4.63-35.76,6.39-53.71,.46-2.96-.04-6.11,.96-8.96,.66-.62,1.77,.13,2.5,.31,5.28,2.16,10.54,4.33,15.82,6.49,1.08,.44,2.25,.95,2.43-.71,1.31-18.26,1.25-36.6,2.11-54.87,1.07-.4,1.97,.4,2.92,.8,4.79,2.61,9.57,5.23,14.35,7.84,.75,.42,2.41,1.67,2.89,.52,.37-16M .35-.91-32.78-1.37-49.07,.67-.64,1.68,.31,2.33,.6,5.63,3.69,11.22,7.41,16.85,11.1,.35,.22,1.04,.29,1.12,.12-.02-14.7-2.56-29.65-3.59-44.41,.42-1.61,2.45,.59,3.19,.97,4.97,3.8,9.92,7.61,14.88,11.41,.81,.46,1.54,1.42,2.48,1.5,.31-.02,.48-.16,.47-.43-.05-3.13-.54-6.23-.95-9.33-1.22-10.39-3.07-20.78-4.33-31.12,.99-.32,1.73,.71,2.49,1.19,5.67,4.76,11.33,9.53,17,14.29,.65,.54,1.35,1.05,2.04,1.55,.06,.05,.26,0,.38-.04,.1-.03,.25-.11,.25-.17,0-.64,.08-1.29-.03-1.92-.93-5.55-1.89-11.09-2.85-16.64-.96-6.29-2.46-12.59-3.21-18M .85,1.25-.11,2.08,1.23,3.03,1.9,5.85,5.36,11.68,10.72,17.53,16.08,.99,.69,1.92,2.27,3.19,2.22,.3-.37,.11-1.07,.09-1.54-2.04-10.21-4.09-20.41-6.13-30.61-.02-.76-.64-1.92,.22-2.35,.07-.05,.3-.03,.36,.03,8.43,7.58,16.02,16.05,24.43,23.66,.11,.06,.59-.08,.63-.23,0-.64,.06-1.29-.07-1.92-2.01-9.77-4.12-19.54-6.23-29.29-.04-.2,.03-.42,.08-.63,.08-.18,.49-.22,.63-.13,5.32,4.89,10.02,10.42,15.09,15.57,3.91,4.12,7.82,8.24,11.75,12.34,.22,.23,.63,.36,.96,.52,.34,.02,.39-.49,.36-.74-2.05-9.66-4.18-19.3-6.19-28.97,.23-1.47,1.79M ,.5,2.22,.94,9.13,10.01,18.25,20.02,27.39,30.03,1.43,1.42,3.06,3.8,2.51-.16-1.47-7.88-3.03-15.75-4.67-23.61-.1-.52-.04-1.06-.03-1.59,0-.07,.13-.16,.23-.19,.12-.03,.33-.05,.39,0,.67,.67,1.36,1.33,1.97,2.04,9.39,10.79,18.76,21.58,28.14,32.37,1.38,1.59,2.76,3.19,4.18,4.76,.19,.21,.67,.26,1.21,.46-1.02-7.64-2.43-14.98-3.68-22.55-.14-.85-.13-1.71-.18-2.57,0-.1,.1-.28,.14-.28,.24,0,.59,0,.71,.11,.75,.76,1.47,1.54,2.14,2.34,11.45,13.7,22.9,27.41,34.35,41.11,.75,.89,1.53,1.77,2.34,2.63,.1,.11,.46,.09,.7,.08,.06,0,.17-.17,.M 17-.26-.32-6.89-1.18-13.74-1.83-20.61-.11-3,1.45-.75,2.41,.31,6.99,8.57,13.99,17.14,20.93,25.73,6.72,8.32,13.38,16.68,20.07,25.02,.75,1.09,2.01,2.05,2.06,3.44-.07,6.66,.32,13.39-.16,20.02-.09,.1-.54,.19-.67,.08-.71-.78-1.43-1.56-2.09-2.37-7.38-9.14-14.73-18.29-22.12-27.43-5.75-6.87-11.1-14.13-17.17-20.73-.12-.06-.58,.08-.62,.23-.03,.64-.1,1.29-.04,1.92,.68,6.76,1.41,13.51,1.92,20.28,0,.09-.1,.26-.17,.26-.7,.15-1.09-.32-1.49-.79-11.5-13.82-23.08-27.56-34.63-41.35-.52-.62-1.13-1.19-1.72-1.78-.13-.1-.57-.04-.65,.12,.7M 2,8.31,2.67,16.64,3.45,25-.05,.56-.68,.54-1,.22-10.44-11.75-20.71-23.65-31.09-35.45-.59-.62-1.13-1.75-2.2-1.72,.2,5.34,1.93,11.06,2.72,16.51,.64,3.73,1.46,7.43,1.76,11.2,.03,.27-.17,.41-.48,.39-9.47-9.07-18-19.65-27.14-29.23-.91-.76-1.75-2.36-2.99-2.39-.32,.47-.03,1.32-.01,1.89,1.77,9.47,3.67,18.93,5.35,28.42,.01,.58-.73,.54-1.03,.26-8.07-8.2-15.99-16.53-24.01-24.78-4.75-5.23-2.48,.34-2.11,3.51,1.49,7.99,2.99,15.97,4.47,23.96,.45,3,1.26,5.75-1.91,2.49-6.68-6.49-13.35-12.98-20.04-19.46-.68-.66-1.45-1.27-2.19-1.89-.1M 4-.08-.58,.03-.66,.15,0,4.41,1.4,8.74,1.96,13.12,1.12,6.72,2.23,13.45,3.28,20.18,.15,.95,.48,1.91,.11,2.87-1.26-.02-2.03-1.28-2.99-1.97-5.57-4.98-11.13-9.97-16.71-14.94-.9-.8-1.87-1.54-2.82-2.3-.06-.05-.26-.02-.37,0-.11,.03-.27,.1-.28,.16-.06,.42-.16,.85-.1,1.27,.34,2.68,.72,5.35,1.1,8.03,1.34,9.84,2.98,19.66,3.81,29.56-.04,.46-.63,.86-1.05,.47-.87-.67-1.77-1.32-2.62-2.01-5.85-4.61-11.46-9.51-17.5-13.88-.29-.06-.93-.03-.85,.4,.76,10.86,2.24,21.67,3.05,32.53,.29,3.33,.54,6.66,.79,10-.37,1.41-1.95-.09-2.63-.5-5.78-4.M 05-11.54-8.14-17.41-12.06-2.42-1.51-1.06,3.73-1.22,4.86,.82,14.29,1.64,28.63,1.67,42.94-.51,1.14-1.81-.11-2.54-.42-5.11-2.99-10.21-5.99-15.33-8.97-1.06-.59-1.92-1.35-3.24-.94-.21,18.23-.12,36.44-1.09,54.65l.14-.04c-6.28-2.65-12.49-5.45-18.74-8.17-1.79-.73-3.14-1.45-3.06,1.24-1.45,20.22-2.77,40.64-5.85,60.67l.11-.12c-6.81-2.02-13.6-4.07-20.4-6.1-1.43-.45-1.98-.03-2.15,1.43-1.8,14.03-4.47,27.96-6.71,41.93-1.56,9.58-4.1,19.14-5.44,28.69l.13-.1c-7.97-1.35-16.78-2.68-24.44-3.65,.22-4.7,1.97-9.3,2.78-13.96,1.19-5.39,2.4-M 10.78,3.5-16.19,2.92-14.95,5.86-29.89,8.28-44.93l-.14,.13Z"/><path class="cls-2" d="M1189.45,948.75c.49-.58,.5-1.22,.36-1.86-.33-1.48-.67-2.97-1.06-4.44-2.25-8.42-4.52-16.84-6.78-25.25-.09-.42-.28-1.51,.46-1.16,8.23,7.23,15.71,15.33,23.67,22.88,1.25,1.09,2.03,2.47,3.68,3.05-1.83-9.69-5.14-19.21-7.47-28.84-.14-.52-.18-1.05-.24-1.58,0-.08,.07-.22,.15-.24,.81,.05,1.66,1.18,2.3,1.67,5.88,6.03,11.76,12.06,17.61,18.11,3.38,3.49,6.71,7.01,10.08,10.51,.1,.1,.45,.07,.68,.05,.28-.19,.07-.62,.01-.91-1.96-8.48-4.28-16.88-6.51-M 25.3-.21-.95-.54-1.94,0-2.83l-.05,.09c11.02,10.93,21.27,22.57,31.72,33.94,.91,.77,1.68,2.36,2.93,2.4-.04,.29,.03,.34,.22,.14l-.31-.07c.4-.86,.1-1.71-.09-2.55-1.69-7.19-3.42-14.38-5.13-21.57-.17-.73-.26-1.48-.37-2.22-.01-.1,.08-.29,.12-.29,.25,0,.6-.02,.72,.1,.93,.92,1.86,1.84,2.71,2.8,8.67,9.74,17.33,19.48,25.97,29.23,2.88,3.25,5.69,6.54,8.55,9.8,.47,.4,.98,1.28,1.63,1.31,.24-.2,.48-.44,.34-.75-1.43-7.34-2.87-14.67-4.28-22.01-.77-4.35,1.5-1.14,2.89,.33,13.21,15.21,26.25,30.52,39.03,45.97,.74,.9,1.5,1.79,2.26,2.67,.M 4,.47,.8,.62,.95,.38,.11-.18,.29-.37,.27-.55-.46-5.81-1.26-11.58-1.96-17.37-.17-1.39-.38-2.78-.53-4.17-.02-.15,.19-.42,.34-.44,.23-.03,.59,.04,.72,.18,.72,.78,1.4,1.58,2.07,2.39,4.92,5.92,9.88,11.82,14.73,17.77,10.73,13.17,21.44,26.35,32.12,39.55,1.38,1.32,1.66,2.84,1.64,4.52-.18,6.02,.19,12.07-.16,18.08-.03,.14-.33,.27-.54,.36-.05,.02-.22-.08-.31-.14-15.99-18.66-30.47-39.54-47.3-57.22-.32,.22-.2,.84-.21,1.19,.74,7.06,1.88,14.13,2.27,21.21-.34,.03-.71,.14-.8,.06-.6-.57-1.19-1.16-1.71-1.78-6.13-7.34-12.21-14.71-18.3M 7-22.04-6.38-7.6-12.83-15.16-19.26-22.73-.68-.8-1.38-1.59-2.11-2.36-.11-.12-.47-.11-.71-.12,.64,7.93,2.81,16.22,4.03,24.25,.05,.29-.1,.6-.19,.89-.27,.1-.82-.16-1.01-.37-11.2-12.79-22.38-25.59-33.58-38.38-.77-.88-1.6-1.73-2.44-2.57-.12-.12-.47-.09-.72-.14l-.03-.18,.13,.12c-.37,.97-.05,1.92,.16,2.86,1.78,8.15,3.67,16.22,5.3,24.42-1.14,.22-1.6-.85-2.34-1.47-6.47-7.11-12.9-14.25-19.4-21.35-3.49-3.81-7.08-7.55-10.64-11.32-.39-.41-.71-.93-1.52-.88l.09-.06c.99,7.93,3.68,15.64,5.33,23.49,.41,1.69,.75,3.39,1.11,5.09,.1,.45-M .11,.81-.39,.75-9.36-8.41-17.72-18.48-26.75-27.44-.79-.62-1.41-1.88-2.54-1.78-.05,0-.16,.19-.14,.29,2.17,10.09,4.73,20.09,7.07,30.14,.13,2.17-2.65-1.09-3.15-1.57-7.48-7.35-14.83-14.83-22.39-22.1-.43-.6-1.61-.68-1.28,.35,2.37,10.84,5.39,21.92,7.25,32.7-.91,.17-1.44-.74-2.08-1.21-4.02-3.77-8.02-7.56-12.05-11.32-2.8-2.62-5.63-5.22-8.46-7.83-.44-.39-.94-.91-1.59-.87-.12,.01-.3,.32-.27,.47,.27,1.38,.59,2.76,.88,4.14,2.08,9.87,4.29,19.72,6.16,29.63,.06,.62,.41,1.38-.34,1.72-.06,.04-.28,.02-.34-.03-.75-.62-1.5-1.24-2.23-1M .87-6.29-5.29-12.22-11.05-18.74-16.05-.74-.16-.64,.69-.55,1.22,2.28,12.45,4.79,24.88,6.52,37.41-1.19,.32-2.23-1.09-3.2-1.67-4.78-3.8-9.53-7.61-14.31-11.42-.86-.68-1.76-1.33-2.67-1.97-.15-.1-.49-.06-.74-.03-.08,0-.2,.17-.19,.26,.74,7.52,2.34,14.94,3.16,22.46,.67,5.25,1.34,10.5,1.99,15.75,.12,.96,.09,1.93,.12,2.9,.03,.41-.68,.39-.87,.34-5.6-3.65-10.93-7.68-16.43-11.48-.83-.45-1.63-1.37-2.66-1.11,.46,8.07,1.7,16.31,2.11,24.47,.55,6.98,1.31,13.96,1.49,20.97,0,.17-.18,.41-.37,.49-1.22,.17-2.25-1.08-3.31-1.56-4.36-2.71-8M .72-5.43-13.09-8.13-1.01-.53-2.86-2.01-2.88,.17,.44,16.47,1.27,32.95,.91,49.43-.01,.28-.58,.58-.86,.45-5.59-2.52-10.97-5.47-16.47-8.17-3.22-1.88-2.47,.74-2.61,2.92-.47,17.87-1.29,35.78-2.88,53.58-.44,.82-1.74,.27-2.44,.03-3.87-1.52-7.73-3.06-11.6-4.57-2.1-.63-4.09-2.01-6.31-1.92-2.91,22.13-5.02,44.49-9.27,66.46l.14-.13c-7.2-2.18-14.57-4.29-21.94-5.82l.06,.09c4.81-21.94,7.7-44.32,10.76-66.58,.24-2.43,2.95-.66,4.31-.3,4.29,1.55,8.58,3.11,12.87,4.66,.81,.23,2.24,1.13,2.83,.23,1.18-6.69,1.37-13.51,2.08-20.26,.67-12.04,M 1.77-24.08,2.04-36.14,.1-.77-.16-2.23,1.06-2.04,5.87,2.27,11.38,5.37,17.19,7.78,1.14,.28,1.11-.81,1.18-1.58,.05-8.07,.45-16.15,.2-24.23-.26-8.29-.3-16.58-.42-24.87-.09-2.16,1.85-.76,2.89-.25,5.1,2.78,10.01,5.92,15.22,8.49,.56,.12,.9-.75,.83-1.21-.22-3.76-.47-7.53-.71-11.29-.48-6.12-.76-12.26-1.27-18.38-.25-5.25-1.5-10.51-1.35-15.75,1.21-.27,2.11,.75,3.11,1.26,4.26,2.81,8.51,5.63,12.77,8.44,.78,.36,2.9,2.45,3.25,.88-.62-6.98-1.51-13.95-2.48-20.89-.87-6.95-2.34-13.88-2.89-20.84,0-.09,.08-.25,.15-.25,.92-.23,1.63,.55,M 2.35,.98,5.46,4,10.89,8,16.27,12.1,.8,.35,1.36,.19,1.15-.92-2.06-12.84-4.87-25.6-6.91-38.41,1.54,.24,2.36,1.31,3.53,2.15,5.21,4.21,10.42,8.42,15.64,12.62,.54,.44,.98,1.07,1.95,1,.23-1.39-.44-3-.61-4.44-2.11-10.62-4.97-21.14-6.88-31.78,.37-.88,1.89,.76,2.37,1.03,5.67,4.9,11.32,9.82,16.99,14.72,1.07,.71,1.9,2.16,3.25,2.18v.14l-.1-.08c.34-.86,.06-1.72-.14-2.55-2.57-10.44-5.21-20.87-7.77-31.32,.03-.66,1.16-.22,1.4,.11,7.89,7.2,15.93,14.26,23.34,21.83-.11-.24-.07-.29,.14-.13l-.28,.08Z"/><path class="cls-2" d="M169.17,46M 3.24c10.66,11.81,21.24,23.67,32.27,35.16,.51,.38,1.44,1.01,1.21-.24-1.88-7.82-3.77-15.64-5.65-23.46-.38-1.58-.72-3.18-1.04-4.77-.03-.14,.19-.44,.31-.44,.79,0,1.21,.76,1.71,1.24,9.1,9.62,18.46,19.02,27.4,28.78,.01-.25,.07-.28,.17-.1l-.28,.03c1.05-1.03,.12-2.51-.01-3.74-1.99-9.4-4.99-18.84-6.47-28.22,.59,0,.97,.29,1.31,.63,2.27,2.28,4.52,4.56,6.81,6.82,5.68,5.61,11.39,11.2,17.08,16.81,.41,.4,.79,.84,1.53,.88-1.66-11.04-5.5-22.18-7.25-33.37,.35-1.04,2.77,1.77,3.34,2.12,6.24,5.8,12.46,11.61,18.69,17.42,.64,.46,1.26,1.3M 4,2.04,1.47,.25-.17,.57-.38,.43-.72-1.16-5.3-2.35-10.6-3.48-15.91-1.22-5.73-2.39-11.47-3.55-17.21-.58-3.85,1.1-1.65,2.81-.37,5.66,4.91,11.31,9.84,16.97,14.75,.64,.42,1.38,1.32,2.14,1.36,.16-.13,.38-.31,.36-.45-.53-2.98-1.11-5.96-1.65-8.95-1.66-9.83-3.88-19.62-5.02-29.51,1.6,.14,2.51,1.46,3.74,2.31,4.87,3.87,9.74,7.75,14.62,11.62,.8,.5,1.53,1.47,2.58,1.31,.06,0,.16-.18,.15-.28-.9-8.05-2.54-16.01-3.45-24.06-.6-5.36-1.51-10.7-1.9-16.08,0-.48-.41-1.13,.48-1.37,.58-.16,.96,.29,1.33,.55,4.54,3.21,9.06,6.45,13.6,9.66,1.54M ,.91,2.75,2.37,4.64,2.51-.83-10.12-1.9-20.21-2.73-30.34-.37-4.62-.65-9.25-.96-13.88,0-.57-.24-1.43,.32-1.8,.99-.29,1.85,.73,2.69,1.11,4.37,2.71,8.72,5.43,13.09,8.13,.82,.32,3.03,2.34,3.53,1.12,.13-5.69-.27-11.42-.45-17.11-.44-11.09-.63-22.19-.41-33.28,.01-.27,.62-.5,.94-.35,5.66,2.67,11.2,5.58,16.82,8.34,2.47,1.26,2.05-.33,2.18-2.18,.16-10.34,.77-20.67,1.33-31.01,.54-7.84,.69-15.74,1.73-23.54,.75-.93,2.28,.16,3.21,.38,4.35,1.71,8.69,3.44,13.04,5.15,1.08,.42,2.14,.92,3.36,1.02,.19,.02,.54-.15,.6-.29,.16-.4,.25-.83,.M 3-1.26,2.58-21.86,4.79-43.93,9.24-65.47-.02,.32-.03,.69,.38,.82,1.23,.4,2.47,.77,3.73,1.11,5.17,1.39,10.35,2.75,15.52,4.14,.53,.14,1.03,.17,1.53-.04,0,.01-.07-.09-.07-.09-.75,7.59-2.86,15.1-3.82,22.7-.56,3.63-1.23,7.25-1.84,10.88-1.86,11.08-3.15,22.25-4.76,33.37-.23,2.58-3.25,.42-4.67,.16-4.79-1.71-9.58-3.44-14.37-5.16-1.6-.34-1.28,2.85-1.56,3.88-1.49,18.3-3.07,36.56-3.7,54.92-1.46,.21-2.48-.57-3.73-1.11-4.31-2.01-8.61-4.02-12.91-6.02-.64-.29-1.95-1.04-2.41-.26-.77,16.67-.05,33.39,.06,50.07,.13,2.56-1.45,1.28-2.84,M .66-4.52-2.54-9.01-5.11-13.52-7.66-1.31-.71-2.66-1.57-2.55,.74,.72,14.96,2.19,29.88,3.24,44.81-.57,.75-1.65-.29-2.26-.55-4.28-2.8-8.54-5.61-12.8-8.41-1.32-.74-2.34-2.02-3.96-2.02,.93,13.64,3.5,27.25,5.23,40.85,.01,.61,.35,1.86-.57,1.86-5.85-3.61-11.1-8.17-16.74-12.13-.71-.43-2.7-2.18-2.55-.28,1.37,8.11,2.72,16.23,4.31,24.3,.87,4.58,1.75,9.15,2.62,13.72-.33,1.49-3.12-1.43-3.79-1.8-5.54-4.4-10.95-8.94-16.55-13.26-.2-.09-.9-.18-.91,.23,1.7,9.39,3.97,18.67,6.01,28,.51,2.54,1.39,5.04,1.63,7.63-.02,.21-.5,.61-.77,.42-.6-M .43-1.21-.86-1.76-1.33-5.49-4.74-10.97-9.5-16.46-14.24-.91-.79-1.84-1.57-2.8-2.33-.13-.11-.48-.04-.88-.05,1.9,10.87,5.33,21.53,7.78,32.31,.98,3.38-1.76,.64-2.81-.27-6.44-5.95-12.85-11.9-19.29-17.85-.58-.36-1.99-2.28-2.54-1.47,1.55,9.25,4.85,18.3,6.95,27.49,.15,.8,1.86,4.59,.31,4.3-9.13-8.04-17.41-17.01-26.27-25.35-.14-.09-.88-.14-.84,.26,2.23,9.43,4.95,18.75,7.48,28.11,.06,.52,.45,1.54,.07,1.87-.24-.01-.57-.01-.7-.13-9.27-9.03-18.16-18.47-27.01-27.82-.89-.72-1.53-2.11-2.78-2.12-.3,.55,.13,1.84,.21,2.51,2.06,8.74,4.M 93,17.41,6.59,26.18-.73-.07-1.06-.41-1.39-.76-2.62-2.74-5.28-5.45-7.84-8.22-7.37-7.97-14.7-15.96-22.05-23.94-1.16-1-2.15-2.92-3.6-3.35-1.01,.07,.47,3.77,.49,4.58,1.59,7.39,3.96,14.81,5.13,22.2-.22,0-.56,.08-.65-.01-.71-.64-1.42-1.29-2.04-1.99-11.84-13.36-23.76-26.64-35.51-40.08-.42-.33-.85-1.09-1.46-.93-.43,.15-.22,1.1-.22,1.47,1.49,7.85,3.14,15.54,4.5,23.43-1.63-.18-2.18-1.68-3.23-2.69-8.83-10.31-17.69-20.6-26.49-30.92-4.47-5.25-8.83-10.56-13.26-15.84-.86-.78-1.4-2.19-2.7-2.21,.19,6.13,1.46,12.21,2.06,18.32,.59,4.M 84,.34,5.63-3.03,1.32-15.81-19.27-31.72-38.44-47.34-57.86-.85-1.04-1.23-2.09-1.22-3.33,.04-6.14,0-12.28-.01-18.42-.02-1.26,.95-.6,1.39-.2,14.57,18.15,29.33,36.13,43.99,54.2,1.14,1.14,1.84,2.94,3.52,3.33-.3-7.25-1.6-14.64-2.2-21.94-.04-.41-.04-.87,.79-.93,12.95,15.46,25.77,31.02,39,46.34,.76,.88,1.57,1.74,2.4,2.59,.11,.11,.45,.09,.68,.08,.05,0,.15-.19,.13-.29-1-6.09-2.12-12.15-3.19-18.22-.11-1.88-2.64-9.9,1.21-5.06,8.31,9.55,16.61,19.1,24.94,28.64,3.16,3.62,6.39,7.2,9.62,10.79,.21,.24,.62,.37,.95,.53,.33,0,.35-.5,.3M 2-.75-1.77-7.95-3.6-15.88-5.26-23.85-.24-1.15-.68-2.33,.06-3.49l-.16-.05Z"/><path class="cls-2" d="M669.74,961.96s-.05,.04-.08,.07l.07-.08s0,0,.01,0Z"/><path class="cls-2" d="M675.34,970.72c-.16,.03-.35,.02-.55-.02-1.35-2.35-2.72-4.71-4.09-7.08l4.64,7.1Z"/><path class="cls-2" d="M904.2,1225.66c.06-.01,.11-.02,.17-.03-.02,.05-.04,.11-.06,.16l-.11-.13Z"/><path class="cls-2" d="M943.14,1097.85c-.05,.02-.1,.04-.15,.05,.01-.06,.03-.12,.04-.18l.11,.13Z"/><path class="cls-2" d="M949.6,1294.97h-.18s.01-.05,.02-.07l.16,.07ZM "/><path class="cls-2" d="M924.84,1294.62c-.17,.73-.9,2.03,.26,2.24,8.13-.28,16.2-1.68,24.32-1.89-10.73,31.3-22.93,62.14-35.8,92.62-.37,.13-.62,.29-.86,.3-8.78-.02-17.51,.21-26.29-.01-.35-1.36,.62-2.52,1.04-3.77,4.97-11.26,10.06-22.49,14.88-33.79,4.55-10.69,8.97-21.42,13.27-32.18,2.59-6.46,5.01-12.95,7.54-19.42,.59-1.33-.31-1.55-1.45-1.42-7.35,.67-14.7,1.39-22.06,2.05-1.92,.04-.55-1.97-.25-2.9,2.38-5.83,4.8-11.65,7.13-17.49,7.48-18.65,14.36-37.42,20.91-56.3,.29-.93,.17-1.62-1.72-1.24-7.13,1.41-14.25,2.83-21.39,4.21M ,7.94-22.07,16.25-44.27,22.4-66.84-.34-.9-2.08,0-2.79,.07-5.95,1.58-11.74,3.97-17.77,5.11-.51-.63-.17-1.24,.03-1.86,2.11-6.56,4.27-13.12,6.32-19.7,3.06-9.81,5.8-19.69,8.61-29.55,.54-1.89,.98-3.8,1.41-5.7,.07-.27-.07-.73-.3-.84-.83-.29-1.81,.35-2.6,.62-4.32,1.77-8.63,3.53-12.95,5.3-.99,.24-3.23,1.92-3.25,0,4.42-15.95,8.95-31.87,12.38-48.06,.13-1.76-2.08-.28-2.84,.07-4.8,2.36-9.37,5.17-14.3,7.24-.28,.1-.58-.07-.54-.33,2.54-10.89,5.23-21.75,7.47-32.7,.02-1.08,2.88-10.85,1.17-10.17-5.29,2.58-9.88,6.38-15.08,9.14-.85,.0M 7-.59-1.05-.55-1.59,1.54-8.09,3.28-16.15,4.87-24.23,.6-3.41,1.04-6.84,1.53-10.26,.06-.42,0-.85-.03-1.28,0-.06-.16-.13-.26-.16-.72-.12-1.37,.63-1.97,.95-3.54,2.65-7.06,5.32-10.6,7.97-1.29,.84-2.5,1.93-2.15-.57,1.88-9.46,3.4-18.95,4.58-28.5,.09-.74,.03-1.5,.01-2.25-.07-.12-.51-.26-.65-.2-17.67,13.86-13.91,16.04-11.19-6.38,.46-3.53,.81-7.08,1.19-10.62,.02-.3,.03-.71-.17-.9-1.05-.17-1.67,.92-2.41,1.46-3.44,3.15-6.61,6.61-10.22,9.58-.14,.06-.59-.02-.67-.15-.08-.31-.19-.63-.15-.94,.39-3.43,.72-6.87,1.25-10.29,.66-4.17,.6M 8-8.38,1.07-12.57,0-.3-.14-.76-.57-.66-.59,.06-.88,.44-1.2,.78-2.76,2.92-5.51,5.85-8.27,8.77-.77,.6-1.37,1.89-2.43,1.94-.19-.05-.44-.3-.43-.45,.14-2.47,.29-4.95,.48-7.42,.31-3.98,.65-7.95,.94-11.93,.04-.42-.09-.85-.18-1.27-.02-.07-.17-.14-.29-.18-.62-.27-1.19,.9-1.64,1.17-3.43,3.56-6.41,7.57-10.08,10.86-.46,.07-.59-.66-.61-1,.23-5.06,.5-10.12,.73-15.17,.03-.75-.06-1.5-.12-2.25-.06-.12-.54-.25-.67-.18-4.21,3.73-7.1,8.75-11.34,12.45-.05,.04-.35-.02-.37-.07-.13-.4-.32-.8-.31-1.21-.25-1.68,1.36-16.71-.78-14.67-3.98,4.0M 5-7.02,9.27-11.33,12.86-.2-.1-.51-.23-.54-.37-.26-3.97-.1-7.96-.22-11.95,0-.53-.1-1.07-.17-1.6,0-.07-.16-.19-.25-.19-1.28-.21-1.74,1.51-2.6,2.17-2.82,3.29-5.63,6.58-8.45,9.87-.58,.55-1.04,1.47-1.98,1.34-.87-3.81-.59-8.18-1.11-12.14-1.01-.3-1.48,.6-2.11,1.17-4.6,5.07-9.06,10.25-13.92,15.08-.26,.27-.6,.41-1.02,.3-.48-.12-.44-.49-.46-.8-.06-.86-.08-1.72-.12-2.58-.2-2.46,.1-5.01-.58-7.39-.05-.14-.37-.25-.59-.32-4.85,3.95-10.36,10.48-15.16,15.03-.65,.51-1.85,2.3-2.43,.82-.26-2.68-.48-5.37-.73-8.05-.08-.59-.08-1.61-.93-1M .46-5.25,4.47-10,9.59-15.37,14.09-.79,.49-2.34,2.72-3.1,1.29-.4-2.88-.5-5.81-1.06-8.67-.14-.28-.82-.28-1-.18-5.67,4.57-10.74,9.66-16.59,14.12-.8,.41-2,2-2.77,.92-.27-2.69-.54-5.35-.89-8.03-.07-.48-.77-.71-1.18-.42-6.22,4.8-12.56,9.44-19.13,13.9-.57,.42-1.05,.73-1.84,.63-.71-2.7-.5-5.56-1.01-8.31-.03-.2-.38-.35-.69-.35l11.91-7.78-.43-.66c2.98-2.15,5.76-4.51,8.67-6.74,.46-.35,.91-.95,1.64-.66,.63,.24,.68,.89,.78,1.42,.42,2.23,.83,4.46,1.25,6.77,.4-.05,.9,.01,1.13-.16,1.84-1.42,3.7-2.83,5.43-4.34,3.46-3.01,6.84-6.09,1M 0.26-9.14,.75-.56,1.34-1.56,2.36-1.6,.32-.02,.5,.14,.54,.39,.35,1.92,.7,3.83,1.04,5.75,.12,.78-.02,1.97,.87,2.3,1.08-.07,1.83-1.2,2.62-1.83,4.67-4.32,9.47-8.55,13.78-13.11,.29-.27,.79-.74,1.22-.75,.23,.09,.57,.21,.6,.35,.55,2.76,.92,5.55,1.5,8.3,.11,.23,.63,.57,.92,.33,5.46-5.07,10.12-10.92,15.43-16.15,.16-.13,.83-.33,.95,.03,.32,1.38,.64,2.75,.91,4.13,.36,1.8,.66,3.62,1,5.42,.19,.3,.72,.43,.98,.14,5.15-5.13,9.41-11.06,14.38-16.37,.15-.1,.85-.12,.97,.18,1.03,3.31,.92,6.88,2,10.19,.04,.14,.33,.25,.53,.34,.7-.06,1.32M -1.14,1.82-1.62,3.33-4.03,6.32-8.34,9.86-12.19,.12-.1,.59-.05,.66,.09,1.09,3.88,1.02,7.89,1.5,11.86,.02,.19,.24,.38,.4,.54,.56,.07,1.24-.89,1.62-1.25,3-3.83,5.96-7.69,8.96-11.52,.25-.25,.87-.73,1.25-.48,.77,3.88,.51,7.95,.88,11.9,.04,.75,.15,1.5,.26,2.25,.01,.06,.19,.12,.31,.14,.56,.14,1.01-.63,1.38-.96,2.51-3.19,4.99-6.39,7.5-9.58,.57-.73,1.17-1.44,1.76-2.16,.18-.22,.44-.31,.69-.16,.67,.46,.38,1.41,.5,2.1,.26,4.41,.65,8.81,.48,13.23,.05,.34,.21,1.07,.68,.98,.39-.27,.83-.53,1.1-.87,3.12-3.77,6.14-7.59,9.23-11.38,.0M 9-.1,.48-.07,.73-.06,.09,0,.25,.12,.25,.19,.09,1.07,.23,2.15,.23,3.22-.02,4.31-.1,8.61-.13,12.92-.01,.75,.09,1.5,.16,2.25,0,.07,.15,.14,.24,.2,.28,.18,.49,.14,.69-.08,3.37-3.59,6.38-7.46,9.61-11.17,.2-.24,.6-.37,.92-.52,.53-.06,.51,.68,.57,1.04-.01,5.17,.25,10.34-.4,15.5-.2,1.6-.18,3.22-.23,4.84,0,.16,.18,.41,.36,.49,.99,.16,1.53-1.06,2.21-1.59,2.83-3.02,5.64-6.05,8.47-9.06,.31-.33,.75-.59,1.15-.86,.05-.04,.33,.03,.36,.1,.63,2.44-.09,5.15-.02,7.67-.24,5.81-.65,11.6-1.14,17.39,1.17,.33,1.75-.71,2.55-1.32,2.85-2.73,5M .67-5.48,8.52-8.21,.66-.66,2.45-2.22,2.34-.25-.85,9.13-1.43,18.26-2.26,27.38,.36,1.28,2.03-.57,2.59-.94,2.86-2.43,5.7-4.88,8.56-7.31,.77-.51,1.44-1.56,2.47-1.35,.07,.01,.19,.15,.19,.23-.08,3.44-.45,6.88-.84,10.29-.57,7.42-1.72,14.78-2.7,22.17-.01,.41,.69,.36,.88,.29,4.52-3.02,8.82-6.33,13.26-9.46,.22-.1,.82-.16,.93,.21-.41,7.38-1.67,14.81-2.78,22.15-.74,5.12-2.15,10.17-2.3,15.36,.54,.72,1.66-.26,2.27-.48,3.74-2.3,7.45-4.63,11.18-6.93,.77-.4,1.51-1.09,2.44-.88-.44,7.44-2.14,14.97-3.36,22.41-1.06,6.72-3.51,15.23-4.06M ,21.64,.95,.07,1.58-.37,2.26-.71,4.82-2.35,9.55-4.9,14.44-7.12,1.35-.18,.67,1.63,.63,2.4-1.29,5.93-2.39,11.9-3.63,17.84-2.07,9.11-4.06,18.26-6.4,27.29-.06,.89-1.41,3.58,.14,3.4,6.33-2.22,12.46-4.97,18.81-7.14-3.78,16.48-7.79,32.85-12.58,49.11-.89,3.04-1.73,6.08-2.58,9.13-.12,.42-.18,.85,.36,1.3,6.08-1.49,12.15-3.35,18.19-4.99,.71-.13,2.1-.75,2.3,.27-4.51,17.52-9.83,34.85-15.3,52.12-1.42,5.13-3.81,10.08-4.79,15.31,.35,.84,1.78,.31,2.49,.31,6.51-1.22,13.09-2.43,19.58-3.57,.24,.26,.52,.43,.51,.6-.01,.53-.06,1.07-.22,1M .58-1.93,5.82-3.62,11.69-5.56,17.51-6.58,19.45-13.35,38.81-20.55,58.04Z"/><path class="cls-2" d="M587.22,1155.92c-.11-.59,.35-1.01,.73-1.45,3.14-3.62,6.3-7.23,9.44-10.86,2.09-2.5,4.32-4.89,6.21-7.53,.18-.24,.14-.42-.13-.52-12.94,3.6-25.52,9.24-38.66,12.68-1.12-.09,.19-1.29,.45-1.76,3.98-4.86,7.98-9.7,11.95-14.56,.51-.62,.92-1.3,1.36-1.96,.03-.05-.06-.18-.13-.23-.45-.28-1.02,.06-1.49,.15-2.24,.72-4.49,1.44-6.72,2.18-10.17,3.41-20.57,6.33-30.86,9.49-.73,.22-1.53,.32-2.3,.45-.07,.01-.27-.13-.27-.18,3.54-5.42,8.13-10.3M 6,12-15.64,.36-.46,.64-.95,.29-1.49,0,.01,.14,.25,.14,.25l-.13-.16c-14.65,3.47-29.25,8.91-44.08,11.12-.07-.07-.13-.22-.08-.29,.35-.57,.68-1.15,1.09-1.69,2.95-3.86,5.91-7.71,8.86-11.56,.32-.57,1.24-1.43,1.12-2.02-.17-.13-.43-.33-.58-.3-1.95,.41-3.9,.84-5.83,1.3-13.14,3.19-26.45,5.84-39.78,8.48-.51,.1-1.05,.14-1.59,.15-.33,0-.56-.19-.45-.38,2.6-4.43,5.96-8.41,8.86-12.65,.46-.64,1.08-1.25,1.08-2.04-.46-.31-.98-.27-1.5-.18-3.95,.67-7.9,1.33-11.85,2.01-8.15,1.42-16.33,2.74-24.57,3.79-4.89,.38-9.8,1.95-14.68,1.72-.32-.62M ,.12-1.07,.41-1.52,2.21-3.45,4.44-6.89,6.65-10.33,.39-.84,2.26-2.66,.47-2.9-15.77,1.47-31.53,3.24-47.38,4-3.22,.12-6.43,.59-9.66,.5-1.25-.31-.13-1.5,.14-2.19,2.13-4.06,4.78-7.9,6.57-12.12-.12-.79-1.34-.54-1.94-.62-21.68,.64-43.35,.59-65.04,.04l.15,.09c2.43-5.2,4.86-10.4,7.29-15.59l-.11,.07c22.41,.6,44.88,.7,67.3,.63,.45,.66,.11,1.16-.14,1.64-1.55,2.98-3.12,5.95-4.68,8.93-.28,.98-2.77,3.75-.78,3.88,14.79-.46,29.54-1.62,44.27-2.88,4.41-.39,8.8-.97,13.22-1.27,.34-.03,.75,.42,.63,.67-2.23,4.42-5.14,8.49-7.47,12.86-.2,1M .29,2.16,.57,2.91,.63,16.49-1.97,32.81-4.69,49.17-7.45,.2-.03,.47,.14,.67,.25,.13,.61-.68,1.48-.93,2.07-2.53,4.02-5.38,7.88-7.7,12.02,.89,.46,1.68,.26,2.46,.1,4.57-.91,9.13-1.86,13.7-2.76,9.67-1.91,19.19-4.23,28.76-6.42,.9-.21,1.82-.39,2.74-.53,.16-.02,.4,.19,.55,.33,.12,.62-.75,1.45-1.05,2.04-2.33,3.27-4.68,6.54-7,9.81-1.53,2.28-2.71,3.44,1.12,2.55,6.52-1.71,13.02-3.45,19.55-5.14,6.02-1.56,11.91-3.39,17.85-5.12,1.3-.2,2.9-1.24,4.14-.72,.06,.03,.09,.2,.05,.28-.33,.58-.62,1.19-1.02,1.74-2.85,3.9-5.73,7.79-8.59,11.69M -1.71,2.35-1.2,2.35,1.32,1.69,9.5-2.72,18.85-5.77,28.15-8.9,3.35-1.13,6.72-2.21,10.08-3.31,.3-.1,.57-.09,.69,.15,.27,.55-.23,1.01-.53,1.44-4.01,5.06-7.57,10.55-11.88,15.35,.16,.14,.21,.3,.43,.29l-.52-.31c2.13,.97,4.62-.91,6.74-1.36,10.97-3.62,21.79-8.17,32.65-11.65,.9,.25-1.32,2.53-1.57,3.08-4.25,5.18-8.03,10.81-12.6,15.71,0,0,.17,.08,.17,.08l-.09-.15c1.01,.81,2.28,0,3.32-.34,10.58-4.02,21.25-7.9,31.6-12.3,.26-.09,1.22-.37,1.29,.06-3.97,6.79-9.14,12.97-13.93,19.27-2.39,3.06,5.41-1.06,6.25-1.19,6.49-2.63,12.89-5.39,M 19.21-8.27,1.23-.37,2.68-1.61,3.94-1.22,.21,.38-.45,1.05-.64,1.42-3.54,4.83-7.08,9.66-10.63,14.49-1.5,2.04-3.04,4.07-4.54,6.11-.53,.97-.25,1.33,1.21,.76,8.71-3.62,17.32-7.45,26.01-11.11,.39-.13,1.04,.11,.77,.64-4.35,6.1-9.11,11.95-13.62,17.95-1.76,2.29-3.56,4.57-5.31,6.87-.29,.48,.29,.82,.73,.67,8.07-3.16,16.14-6.46,24.01-9.99,.84-.26,2.08-1.04,2.89-.9,.09,.17,.23,.41,.15,.54-.5,.76-1.05,1.5-1.61,2.24-6.15,8.69-15.4,18.96-20.87,27.13,.07,.08,.23,.19,.3,.17,.75-.23,1.52-.44,2.24-.72,7.24-2.87,14.47-5.76,21.7-8.63,1.M 11-.27,2.19-1.31,3.3-.68-8.62,11.65-18.25,22.65-27.31,33.93,1.13,.67,2.59-.36,3.79-.63,7.13-2.54,14.25-5.11,21.38-7.65,.59-.13,1.3-.53,1.88-.26,.08,.05,.17,.19,.13,.24-.37,.57-.72,1.15-1.15,1.68-10.08,12.51-20.66,24.79-31.3,36.9-1.05,1.56,.56,.96,1.5,.84,5.9-1.51,11.79-3.04,17.68-4.55,1.05-.14,2.49-.88,3.45-.6,.07,.05,.13,.18,.09,.24-.21,.39-.4,.8-.7,1.15-4.1,4.81-8.13,9.65-12.33,14.39-8.09,9.15-16.26,18.24-24.4,27.36-2.6,2.66-1.52,2.71,1.57,2.2,6.7-1.13,13.34-2.76,20.07-3.62,1.39,.17-.76,2.02-1.11,2.57-13.97,16.12M -28.65,31.83-43.51,47.41-.51,.71-1.66,1.16-1.43,2.18,.9,.42,1.85,.18,2.75,.09,5.62-.55,11.22-1.14,16.84-1.69,1.46-.14,2.95-.19,4.42-.26,.33-.02,.51,.14,.51,.39-16.91,20.3-36.55,39.27-55.21,58.47-.61,.67-1.54,.86-2.48,.85-7.82,.04-15.63,.08-23.45,.11-.77,.01-1.87-.08-1.72-.85,18.36-18.02,37.14-35.65,54.89-54.27,.44-.6,1.39-1.12,1.1-1.94-1.34-.29-2.95,.05-4.36,.07-5.22,.46-10.43,1.03-15.64,1.53-1.34,.11-2.68,.17-4.02,.23-.33,.02-.51-.15-.5-.4,11.19-12.17,23.76-23.66,35.02-35.85,3.76-3.94,7.49-7.9,11.23-11.85,.56-.56,M 1.14-1.1,1.16-1.92-7.9,.6-15.72,2.92-23.66,3.76-1.2-.12,.96-1.88,1.21-2.31,13.04-13.6,26.3-26.93,38.41-41.16,.38-1.08-2.86,.26-3.4,.28-7.9,2.11-15.68,4.69-23.65,6.49-1.14-.12,.6-1.58,.86-2.03,4.58-4.93,9.26-9.8,13.75-14.78,5.83-6.46,11.52-13.01,17.26-19.53,2.21-2.66-1.48-.92-2.72-.63-7.11,2.32-14.21,4.64-21.31,6.96-.87,.28-1.7,.67-2.7,.52l-.17-.14c.11-.3,.12-.66,.33-.9,3.73-4.23,7.51-8.42,11.21-12.66,5.01-5.74,9.97-11.51,14.95-17.27,.24-.39,.92-.98,.75-1.4-1.31-.4-2.75,.69-4.05,.98-6.99,2.53-13.98,5.06-20.97,7.59-1M .15,.28-2.21,1.13-3.41,.69,2.48-3.51,5.58-6.57,8.27-9.92,4.9-6.17,10.52-11.91,14.98-18.35,.02-.04-.21-.22-.27-.21-.63,.14-1.28,.26-1.86,.49-8.61,3.35-17.15,6.82-25.88,9.87-.58,.11-1.35,.07-.67-.82,6.49-7.78,13.05-15.51,19.2-23.54,.26-.42-.04-1.02-.63-.71-9.19,3.6-18.38,7.19-27.72,10.54-1.22,.44-2.49,.82-3.74,1.21-.14,.02-.5-.23-.44-.41,1.84-2.82,4.46-5.1,6.58-7.72,3.77-4.33,7.5-8.68,11.24-13.03,.38-.44,.68-.92,1.01-1.39,.04-.06,.01-.23-.04-.25-.23-.07-.49-.16-.73-.15-7.38,2.53-14.66,5.44-22.03,8.05-4.29,1.56-8.63,3M .02-12.95,4.53-.62,.22-1.26,.38-1.94,.15l.09,.06Z"/><path class="cls-2" d="M611.76,998.97c-1.06-2.18-3.45-8.12-4.25-10.5l-.1,.09c11.42-4.14,23.03-8.12,34.08-12.97l-.14-.05c1.49,2.88,2.97,5.76,4.47,8.63,.19,.37,.39,.79,1.19,.89,9.18-3.85,17.96-8.57,26.69-13.15,.27-.14,.91,.11,.93,.36,.32,2.68,.37,5.36,.48,8.05,.02,.45,.72,.75,1.17,.5,7.36-3.86,14.25-8.48,21.34-12.78,1.89-1.14,2.74-1.76,2.73,1.03,.04,2.15,.04,4.31,.08,6.46,0,.3-.02,.66,.49,.77,1.17,.07,1.97-1.03,2.94-1.53,5.63-3.85,11.25-7.71,16.59-11.83,1.2-.74,3.01M -2.67,3.17,.03-.03,2.48-.13,4.95-.16,7.43,0,.28,.17,.63,.42,.83,.37,.3,.76,0,1.03-.2,2.34-1.78,4.72-3.54,6.98-5.39,3.57-2.93,7.06-5.93,10.59-8.9,.72-.48,1.31-1.34,2.29-.88,.14,2.89,0,5.8,.03,8.69,.04,.59,0,1.6,.87,1.44,5.82-4.45,11.06-9.74,16.68-14.48,.64-.44,1.25-1.33,2.02-1.46,.21,.11,.52,.25,.54,.4,.29,3.33,.09,6.68,.17,10.01-.12,1,.92,.82,1.46,.32,5.03-4.6,9.75-9.48,14.63-14.23,.7-.53,1.29-1.64,2.25-1.62,.2,.05,.45,.27,.47,.43,.52,3.86-.02,7.73-.02,11.61,.1,.35,.67,.47,.92,.18,2.34-2.23,4.74-4.41,6.99-6.69,3.1-M 3.12,6.02-6.36,9.07-9.51,.32-.33,.82-.48,1.01-.3,.16,.15,.37,.33,.37,.5-.02,2.05-.03,4.09-.13,6.14-.1,2.26-.47,4.51-.4,6.77-.06,.39,.57,.5,.85,.34,4.11-3.73,7.61-8.09,11.48-12.07,.47-.39,1.13-1.3,1.77-.77,.07,4.85-.43,9.68-.69,14.52-.04,.66,.03,1.29,.58,1.82,.01,.06-.21-.28-.05,.02,3.75-4.47,7.75-8.91,11.9-13.02,2.51-.56-1.02,15.91-.64,18.14,.58,.55,1.3-.46,1.74-.8,3.17-3.35,6.31-6.72,9.48-10.07,.66-.56,1.11-1.46,2.13-1.12-.24,6.22-1.03,12.47-2.1,18.63-.13,.63-.07,1.28-.08,1.92,0,.06,.14,.15,.23,.18,.66,.13,1.29-.7M 8,1.79-1.13,3.62-3.47,7.02-7.15,10.75-10.49,.28-.14,.9-.1,.84,.33-.06,.97-.07,1.94-.21,2.9-.95,6.2-1.93,12.39-2.88,18.59-.47,3.52,.87,1.93,2.57,.54,2.99-2.78,5.94-5.58,8.92-8.36,.51-.33,1.17-1.28,1.8-1.09,.1,.04,.24,.13,.24,.19-.04,1.29,.03,2.58-.19,3.85-1.38,7.78-2.95,15.53-4.19,23.33-.02,.09,.09,.27,.17,.28,1.04,.19,1.71-.86,2.49-1.37,3.15-2.66,6.28-5.34,9.43-8,.77-.49,1.44-1.56,2.46-1.32-.92,9.9-3.98,20.01-5.79,29.94-.08,.57-.34,1.4,.02,1.84,1.55-.03,2.57-1.4,3.81-2.16,2.86-2.13,5.7-4.28,8.56-6.4,.86-.51,1.57-1.M 46,2.68-1.21,.28,1.19-.06,2.35-.33,3.51-2.25,10.92-5.29,21.78-7.56,32.67,.35,.83,2.03-.63,2.59-.84,4.03-2.53,8.04-5.07,12.06-7.61,.52-.33,1.04-.7,1.93-.59-1.73,9.57-4.62,18.98-7.06,28.43-1.14,4.21-2.42,8.39-3.62,12.59-.05,.35-.26,.95,.05,1.23,.72,.09,1.5-.45,2.16-.7,3.72-1.94,7.43-3.9,11.15-5.86,1.37-.57,2.59-1.82,4.15-1.67,.47,.65-.09,1.72-.2,2.48-3.11,10.81-6.16,21.64-9.58,32.36-1.28,4.07-2.62,8.13-3.92,12.2-.1,.31-.1,.64-.15,.96-.03,.24,.57,.56,.88,.45,5.97-2.16,11.65-5.03,17.62-7.17,.76-.28,.87,.63,.69,1.13-5.3M 8,17.27-10.87,34.51-17.4,51.42-.41,1.02-.67,2.08-.98,3.12,.05,1.09,1.58,.38,2.22,.26,5.4-1.67,10.8-3.35,16.2-5.01,.72-.06,1.99-.8,2.45,.04-4.66,15.21-10.48,30.07-16.21,44.97-2.35,5.95-4.78,11.89-7.16,17.83-.2,.51-.38,1.03-.48,1.56-.02,.12,.3,.37,.5,.4,.39,.05,.82,.04,1.2-.04,7.16-1.53,14.35-2.93,21.53-4.35l-.11-.13c-9.3,25.74-20.41,50.83-31.25,75.96,.68,.49,1.36,.41,2.01,.35,7.21-.75,14.42-1.53,21.63-2.28,.97-.08,1.32,.6,1,1.31-12.14,29.39-25.61,58.21-39.63,86.76-8.94,.46-18.02,.3-26.98,.09-.28-.49-.24-.9-.03-1.32,M 1.08-2.09,2.11-4.19,3.22-6.27,13.18-25.48,26.59-50.91,37.7-77.25,.02-.14-.29-.45-.43-.44-1.74,.06-3.48,.1-5.21,.28-4.94,.52-9.87,1.11-14.8,1.64-1.3,.02-2.73,.46-3.94-.07-.16-.79,.3-1.46,.63-2.16,3.33-6.93,6.72-13.85,9.98-20.8,7.56-15.99,14.54-32.13,21.4-48.39,1.12-2.18-.02-2.36-1.94-1.84-6.11,1.3-12.22,2.61-18.34,3.9-1.7,.33-2.29,.21-1.49-1.69,2.95-6.7,5.99-13.37,8.84-20.1,5.7-13.66,11.65-27.21,16.41-41.19,.02-.1-.37-.39-.5-.36-.78,.15-1.56,.32-2.31,.56-5.77,1.78-11.46,3.79-17.26,5.45-1.29,0-.45-1.43-.27-2.13,3.09-M 7.8,6.27-15.57,9.25-23.39,3.64-9.57,7.3-19.09,10.24-28.86-.45-.76-1.73,.04-2.38,.19-5.51,2.24-10.9,4.74-16.47,6.84-1.24,.11-.19-1.84-.02-2.46,4.02-10.39,7.62-20.86,11.08-31.38,1.27-3.85,2.5-7.71,3.72-11.57,.13-.73,.48-1.5,.13-1.87-.97-.46-1.88,.54-2.76,.85-4.15,2.21-8.29,4.42-12.44,6.63-.59,.22-2.22,1.51-2.56,.51,3.93-13.08,8.45-25.99,11.97-39.19,.74-2.58-.8-1.58-2.28-.68-4.57,2.84-8.97,5.92-13.66,8.56-1.84,.27,.65-4.8,.81-5.83,1.96-5.71,3.25-11.55,4.82-17.33,1-3.68,2.03-7.36,3.03-11.04,.11-.42,.17-.85,.23-1.27,.01M -.09-.07-.27-.15-.28-1.01-.3-1.74,.78-2.55,1.19-3.59,2.61-7.16,5.23-10.75,7.84-.69,.58-1.4,1.02-2.33,1.07-.33-1.13,.42-2.33,.63-3.46,1.85-6.07,3.17-12.22,4.69-18.34,.68-2.74,1.29-5.5,1.92-8.25,.09-.38,.42-.88-.25-1.09-.6-.18-.96,.3-1.31,.58-4.19,3.34-8.26,6.84-12.5,10.11-.21,.1-.87,.25-.9-.17,1.25-6.49,3.09-12.88,4.24-19.38,.5-2.33,.97-4.67,1.44-7.01,.09-.63-.44-.72-.94-.45-4.45,3.82-8.97,7.71-13.16,11.8l.11-.07c-.49-.43-.61-.95-.5-1.5,.36-1.7,.66-3.41,1.13-5.09,1-3.58,1.44-7.23,2.12-10.85,.25-2.15,1.07-4.26,.75-6.M 43-1.14-.21-2.05,1.28-2.92,1.91-3.37,3.22-6.72,6.45-10.1,9.67-.18,.12-.86,.28-.91-.13,.3-2.78,.92-5.54,1.44-8.3,.81-3.82,1.33-7.67,1.81-11.53-.24-1.66-1.96,.53-2.53,1.05-3.04,3.02-6.07,6.05-9.13,9.06-.75,.59-1.38,1.59-2.46,1.43,.26-5.55,1.62-11.11,2.15-16.68,.12-2.12-1.4-.62-2.17,.11-3.37,3.36-6.73,6.73-10.1,10.09-.54,.4-1.03,1.18-1.74,1.2-.31,0-.49-.15-.46-.42,.34-3.87,.96-7.71,1.4-11.56,.17-3.34,.6-5.18-2.64-1.82-4.58,4.66-9.19,9.29-14.2,13.67-.56,.36-1.12,1.17-1.81,1.15-.16-.12-.41-.31-.38-.44,.76-4.48,.92-8.99,M 1.29-13.5-1.16-.3-1.76,.74-2.56,1.34-5.57,4.94-10.73,10.36-16.54,15.02-.1,.06-.62-.05-.67-.16,.1-3.87,.63-7.73,.9-11.59-.29-1.2-1.16-.53-1.86,.12-5.67,4.75-11.35,9.5-17.03,14.25-.58,.42-1.14,1.09-1.94,.81-.08-.01-.16-.19-.15-.29,.33-3.54,.88-7.06,.94-10.61-.21-.86-1.42-.11-1.84,.24-5.91,4.95-11.81,9.76-18.15,14.27-.5,.31-1.37,1.09-1.94,.56,.04-3.32,.74-6.63,.38-9.97-.06-.36-.67-.35-.91-.31-7.26,4.85-14.12,10.53-21.84,14.81-.91-.04-.63-1.27-.66-1.91,.16-2.37,.37-4.73,.53-7.09-.04-.37-.06-1.07-.59-1-.73,.02-1.21,.42-M 1.73,.74-4.82,2.94-9.59,5.93-14.46,8.82-2.59,1.54-5.33,2.92-8,4.37-.3,.16-.9-.08-.91-.36-.33-2.98,.79-6.07,.1-8.99-.05-.13-.5-.31-.64-.25-.83,.34-1.64,.73-2.43,1.14-7.8,4.11-15.63,8.15-23.74,11.66-.45,.2-.91,.55-1.48,.3-.76-.33-.45-.93-.44-1.43,.02-.65,.12-1.29,.15-1.93-.18-1.19,.95-6.13-.61-6.09-10.29,3.57-20.17,8.2-30.65,11.55-1.09,.38-2.34,.56-3.18,1.34,0,0,.13,.09,.13,.09Z"/><path class="cls-2" d="M648.71,387.33c.75,.04,1.24-.36,1.75-.7,3.84-2.54,7.67-5.09,11.51-7.63,.76-.29,4.53-3.68,4.17-1.58-3.39,7.77-7.25,1M 5.49-9.77,23.56-.03,.25,.33,.4,.54,.27,6.77-4.32,13.14-9.24,19.77-13.77,.68-.48,1.27-1.12,2.3-1.17,.37,.56-.05,1.05-.25,1.54-2.05,5.01-4.11,10.02-6.17,15.03-.38,.92-.85,1.82-1.1,2.77-.18,.67-.99,1.32-.29,2.08,.92-.01,1.38-.61,1.97-1.02,6.51-4.52,13-9.05,19.51-13.57,.5-.26,1.09-.78,1.68-.73,.1,.05,.23,.19,.21,.26-.28,.82-.54,1.66-.9,2.46-2.2,5.39-4.71,10.75-6.04,16.34,.72,.06,1.13-.2,1.53-.47,1.83-1.27,3.67-2.54,5.49-3.81,5.63-3.66,10.71-8.1,16.66-11.22,.11,.22,.32,.42,.27,.57-1.87,5.4-4.37,10.6-6.12,16.03,.23,1.08,M 2.22-.56,2.77-.82,7.42-4.55,14.67-9.79,22.32-13.78,.65,.7-.34,1.89-.54,2.69-1.69,3.75-2.88,7.62-4.24,11.45-.15,.41-.25,.83,.21,1.3,8.02-4.61,15.59-9.89,23.9-14.24,.54-.3,1.08-.71,1.72-.43,.09,.02,.19,.19,.17,.27-.25,.84-.5,1.67-.81,2.5-1.08,3.52-3.09,6.89-3.53,10.54,.09,.96,2.74-.94,3.29-1.11,7.88-4.25,15.77-8.83,24-12.46,.18-.06,.57,.16,.57,.34-.3,.93-.61,1.86-.94,2.79-1.12,3.1-2.46,6.15-3.19,9.33-.02,.1,.31,.33,.51,.36,10.73-4.59,21.4-10.06,32.61-14.02,.52,.38,.47,.79,.31,1.2-1.16,2.98-2.33,5.95-3.48,8.94-.24,.61M -.38,1.25-.55,1.88-.02,.08,.05,.24,.14,.28,.21,.09,.51,.25,.67,.19,1.23-.44,2.43-.93,3.63-1.41,10.89-4.18,21.86-8.55,33.11-11.9,1.4,.05,.19,1.72,.04,2.45-1.09,2.77-2.2,5.54-3.29,8.31-.17,.42-.12,.84,.35,1.29,13.46-4.27,27.13-8.41,40.84-11.91,.69,.46,.56,.84,.32,1.48-1.09,2.77-2.2,5.54-3.28,8.31-.21,.7-.87,2.15,.37,2.14,12.97-2.92,25.91-5.93,39.02-8.25,.65-.13,1.31-.26,1.96-.38,3.29-.63,4.08-.68,4.21-.3,.4,1.14-.45,2.09-.79,3.1-.86,2.6-1.87,5.16-2.82,7.75-.16,.43,.35,.82,.95,.74,16.58-2.35,33.19-4.85,49.92-5.8,.95,.M 21,.7,1.27,.46,1.95-1.4,3.43-2.09,7.3-3.96,10.47l.14-.12c-17.35,1.23-34.72,2.98-51.87,5.83l.13,.09c.98-3.78,2.67-7.46,3.2-11.31-.01-.15-.35-.42-.52-.42-.94,.04-1.89,.09-2.8,.25-13.83,2.35-27.44,5.3-41.05,8.48-1.93,.42,0-3.32,.16-4.5,.61-1.99,1.25-3.96,1.87-5.95,.13-.42-.44-.87-.95-.76-11.81,2.93-23.46,6.36-34.95,10.06-1.49,.48-3.03,.88-4.56,1.28-.12,.03-.52-.23-.51-.36,.31-3.24,1.96-6.25,2.83-9.38,1.15-2.93-2.51-.91-3.8-.59-10.94,3.85-21.8,7.85-32.51,12.27-.31,.12-.92-.22-.86-.47,.21-.95,.39-1.91,.67-2.85,.75-2.51,M 1.55-5.01,2.31-7.52,.06-.18-.06-.41-.12-.6-.17-.4-1.38,.06-1.82,.24-9.4,3.77-18.55,7.88-27.39,12.44-.92,.31-2.43,1.66-2.88,.5,.8-2.94,1.65-5.88,2.47-8.82,.29-1.11,1.2-3.64-.93-2.4-8.78,4.35-17.1,9.48-25.68,13.97-.36-.47-.24-.88-.12-1.29,1.06-3.78,2.26-7.52,3.17-11.34,.02-.08-.1-.26-.18-.27-.23-.04-.56-.1-.72-.01-7.09,4.03-13.95,8.39-20.73,12.9-.7,.31-3.48,2.7-3.75,1.51,.52-4.21,2.46-8.14,3.62-12.22,.85-2.17-1-.95-1.96-.41-6.9,4.48-13.95,8.82-20.5,13.65-.47,.44-1.1,.6-1.7,.78-.07-.29-.26-.61-.18-.87,1.42-4.71,2.95-9M .39,4.35-14.1-.2-1.09-2.17,.61-2.66,.9-5.88,4.28-11.74,8.58-17.61,12.86-.78,.43-1.66,1.44-2.53,1.49-.71-.37-.26-1.12-.16-1.71,1.36-4.83,3.05-9.6,4.82-14.34,.5-1.85-1.23-.71-1.91-.16-4.53,3.22-9.12,6.39-13.41,9.83-1.81,1.45-3.65,2.87-5.49,4.3-.48,.37-.91,.82-1.67,.84-.34-.38-.13-.78,0-1.19,1.9-5.61,3.81-11.22,5.7-16.83,.16-.51,.44-1.05-.09-1.44-.85,.09-1.78,1.06-2.53,1.51-5.54,4.25-11.07,8.52-16.6,12.78-.69,.41-1.37,1.26-2.17,1.34-.17-.11-.44-.3-.41-.41,.19-.85,.43-1.69,.69-2.52,1.66-5.33,3.58-10.6,5.64-15.84,.36-.9M 2,.72-1.85,1.03-2.78,.05-.14-.16-.35-.29-.51-.03-.04-.28,0-.38,.06-5.42,3.32-10.23,7.96-15.66,11.08-.7-.37-.22-1.12-.08-1.69,2.73-7.66,5.53-15.29,8.43-22.91,.01-.16-.16-.34-.3-.49-.04-.04-.28,0-.38,.06-4.81,3.05-9.31,6.54-14,9.77-.54,.26-1.37,1.02-1.97,.85-.43-.35,.03-1.08,.1-1.54,3.32-8.53,6.55-17.08,10.25-25.52,.23-.65,.74-1.18,.14-1.82-5.9,3.2-11.01,7.2-16.77,10.62-.4-.6-.33-1.02-.15-1.43,1.37-3.26,2.74-6.53,4.13-9.79,2.96-6.93,5.94-13.85,8.9-20.77,.1-.38,.48-.92,.08-1.21-.7-.14-1.7,.66-2.37,.94-4.58,2.66-9.14,5M .34-13.72,7.99-.42,.24-.94,.38-1.42,.54-.05,.02-.27-.12-.27-.17,1.62-5.33,4.33-10.38,6.48-15.56,2.95-6.47,6.03-12.91,9.04-19.36,.37-.8,.64-1.63,.94-2.46,.03-.07-.09-.21-.18-.28-.64-.21-1.47,.44-2.09,.64-5.26,2.62-10.42,5.4-15.73,7.92-.3,.15-.78-.27-.77-.49,5.87-14.27,13.1-28.09,20.04-41.92,.21-.41,.35-.8-.21-1.23-6.38,2.43-12.59,5.42-19.01,7.73-.38,.14-.62-.34-.6-.6,7.38-15.82,15.44-31.27,23.91-46.6,1.21-2.16,1.29-2.5,.78-2.64-1.17-.32-2.07,.29-3.03,.59-5.92,1.71-11.66,4.07-17.67,5.42-.56-.11-.02-1.08,.09-1.44,9.49M -19.03,20.15-37.47,30.69-55.98-1.66-.54-3.1,.24-4.74,.48-5.72,1.22-11.4,2.61-17.15,3.73-.38,.06-.82,.17-1.14-.1-.59-.64,.37-1.43,.58-2.06,5.94-10.73,12.02-21.42,18.3-32.02,6.25-10.62,12.85-21.09,19.15-31.71,.23-.9-1.19-.66-1.74-.64-5.74,.63-11.47,1.27-17.21,1.92-1.92,.05-3.78,1.01-5.66,.23,14.02-26.03,30.83-50.79,46.95-75.69,1.05-1.57,3.53-.77,5.17-.97,6.87,0,13.75-.02,20.62-.01,.64,.04,1.83-.12,1.93,.65-1.09,2.24-2.86,4.14-4.22,6.24-15.04,21.11-29.17,42.61-43.22,64.31-.49,.75-.88,1.55-1.26,2.35-.05,.11,.19,.38,.38M ,.47,6.76-.24,13.59-1.52,20.38-2.09,.82,.08,3.99-.72,3.8,.52-13.54,20.85-27.64,41.47-39.85,63.08,.61,.31,1.14,.33,1.67,.21,2.34-.51,4.67-1.03,7.01-1.54,4.29-.93,8.58-1.86,12.87-2.78,.37-.08,.79-.04,1.18-.02,.35,.02,.5,.21,.38,.45-10.75,17.75-21.9,35.16-31.88,53.31-.27,.48-.37,1.02-.52,1.54-.01,.05,.19,.21,.28,.2,.52-.04,1.07-.05,1.55-.2,6.02-1.87,12.01-3.84,18.03-5.69,.48-.12,1.04-.5,1.48-.16,.64,.49-.07,.98-.27,1.44-.27,.61-.67,1.17-1.02,1.76-8.31,14.66-18.42,30.04-24.94,45.04,.69,.23,1.51-.35,2.19-.51,5.89-2.37,1M 1.73-4.86,17.65-7.15,.17,.28,.42,.51,.36,.64-.29,.71-.63,1.41-1.02,2.09-4.47,7.84-8.79,15.73-12.94,23.68-2.49,4.77-4.91,9.56-7.36,14.34-.25,.49-.54,.99,.15,1.56,5.59-2.47,11.04-5.32,16.57-7.94,.57-.28,1.19-.48,1.8-.71,.05-.02,.2,.08,.27,.14-4.86,11.74-12.96,24.09-17.69,36.28,.35,.82,1.72-.33,2.28-.51,4.64-2.59,9.26-5.2,13.9-7.79,.59-.22,1.47-.89,2.09-.68,.09,.06,.2,.19,.18,.26-.24,.61-.47,1.23-.78,1.83-4.76,9.15-8.83,18.51-13.12,27.8-.18,.64-.94,1.52-.4,2.09,1.09,.03,2.01-1.04,2.97-1.49,4.06-2.5,8.12-4.99,12.18-7.4M 9,.58-.37,3.23-2.02,2.47-.13-4.18,8.24-7.81,16.73-11.58,25.15-.27,.6-.58,1.22-.15,1.86-.16-.09-.38-.12-.42,.07,.14,.14,.26,.08,.35-.15Z"/><path class="cls-2" d="M636.17,416.76c.86,.8,.21,1.85,0,2.78-1.94,6.6-3.88,13.2-5.8,19.8-.04,.14,.15,.34,.27,.49,.32,.05,.76-.25,1.03-.43,4.12-3.4,8.18-6.86,12.29-10.28,.66-.42,1.29-1.34,2.17-1.01,.08,.02,.17,.19,.15,.28-.13,.63-.24,1.28-.45,1.9-1.71,5.21-2.98,10.49-4.29,15.77-.08,.74-.22,1.69,.6,1.47,6.14-4.78,12-9.9,18.05-14.8,1.5-1.14,2.52-1.95,2,.74-1.18,4.53-2.4,9.05-3.58,13M .58-.13,.52-.12,1.06-.15,1.59,0,.08,.08,.21,.17,.25,.8,.05,1.53-.87,2.19-1.26,3.84-3.17,7.65-6.37,11.51-9.53,1.98-1.62,4.05-3.16,6.08-4.73,.39-.3,.82-.56,1.48-.51,.03,2.63-1.4,5.21-1.88,7.83-.62,2.42-1.14,4.86-1.69,7.29-.02,.1,.04,.29,.1,.3,1.11,.25,1.91-.97,2.8-1.46,6.28-4.7,12.31-9.75,18.74-14.24,.28-.2,.79,.18,.8,.39-.89,4.35-1.89,8.69-2.81,13.04-.05,.4,.66,.4,.84,.32,6.8-5.07,13.66-10.07,20.87-14.77,.52-.26,1.12-.78,1.74-.68,.4,.29,.06,1.07,.05,1.5-.79,3.8-2.14,7.52-2.6,11.36,1.06,.02,1.6-.51,2.21-.91,4.35-2.89M ,8.68-5.81,13.04-8.69,2.39-1.57,4.84-3.09,7.28-4.62,.64-.35,1.33-.89,2.12-.64,.08,.02,.15,.19,.14,.29-.23,2.91-1.25,5.71-1.75,8.58-.17,.88-.93,1.78-.12,2.7,1.31-.08,2.13-.86,3.08-1.42,6.6-3.92,13.2-7.83,20.08-11.42,1.01-.38,2.03-1.39,3.14-1.23,.17,.08,.33,.36,.3,.52-.46,3.51-1.8,6.96-1.91,10.48,.84,.2,1.38-.16,1.93-.44,3.53-1.79,7.03-3.61,10.57-5.37,5.26-2.63,10.7-4.99,16.21-7.26,.67-.16,1.52-.84,2.17-.4,.16,.12,.23,.4,.18,.59-.74,2.84-1.51,5.68-2.11,8.55-.19,1.74,.15,1.82,1.76,1.32,10.31-4.27,20.76-8.19,31.37-11.9M ,.88-.15,3.08-1.59,3.19-.02-.54,2.99-1.44,5.91-2.09,8.88-.23,1.18,.73,1.3,1.6,.91,12.58-3.84,25.15-8.02,38.01-10.79,.63,.12,.6,.86,.47,1.36-.77,3.28-1.56,6.55-2.35,9.82l.08-.09c-12.72,3-25.19,6.84-37.65,10.7-.62,.16-1.75,.61-2.01-.22-.11-3.11,1.12-6.19,1.03-9.28-.51-.66-1.43-.05-2.08,.09-10.89,3.74-21.51,7.84-32.1,12.19-.68,.27-1.35-.14-1.26-.77,.41-2.99,1.11-5.95,1.13-8.97,0-.26-.21-.4-.55-.34-3.1,.78-5.97,2.46-8.93,3.66-6.74,2.94-13.01,6.55-19.56,9.68-1.78,.28,.28-8.13,.24-9.57,.03-.92-.68-.83-1.24-.62-7.77,4.06-M 15.14,8.53-22.59,13.05-.62,.23-1.69,1.25-2.28,.55-.23-3.44,.93-6.83,1.29-10.25,.01-.09-.06-.26-.15-.29-.87-.34-1.66,.44-2.37,.82-6.49,4.38-12.96,8.77-19.44,13.15-.94,.58-2.52,1.98-2.26-.17,.46-3.1,.95-6.2,1.41-9.3,.3-1.79-1.12-1.05-1.99-.41-5.07,3.55-10.13,7.1-14.8,10.99-.98,.5-6.49,6.36-5.93,2.82,.47-3.75,1.09-7.47,1.72-11.2,.01-.09-.09-.27-.15-.27-1.04-.14-1.74,.85-2.54,1.35-5.52,4.42-11.03,8.85-16.55,13.27-.64,.37-1.43,1.41-2.16,1.28-.36-.07-.39-.51-.38-.8,.69-4.16,1.58-8.29,2.13-12.47,.04-.55-.64-.7-1.02-.45-5.M 63,4.57-10.91,9.54-16.41,14.26-.84,.55-1.57,1.83-2.66,1.72-.66-.57-.07-1.99-.07-2.78,.67-3.84,1.38-7.67,2.05-11.51,.37-2.51-1.87-.17-2.69,.4-4.98,4.38-10.05,8.71-14.75,13.29-.63,.52-1.16,1.37-2.03,1.45-.32,.02-.5-.12-.47-.4,.49-5.7,1.97-11.28,3-16.91,.05-.27-.39-.35-.56-.24-4.42,3.32-8.2,7.42-12.38,11.04-.57,.38-1.08,1.19-1.78,1.19-.23-.2-.5-.45-.38-.77,1.22-5.62,2.44-11.24,3.66-16.86,.1-.7,.73-1.9,0-2.42-.12-.04-.32-.06-.39,0-.59,.43-1.2,.86-1.74,1.34-3.43,3.04-6.83,6.1-10.25,9.14-.67,.44-1.29,1.31-2.13,1.36-.09-.M 01-.22-.1-.22-.16,.69-4.8,2.3-9.5,3.35-14.25-.01-1.08,3.88-10.86,.57-8.23-3.5,2.98-6.99,5.98-10.5,8.96-.73,.63-1.5,1.23-2.27,1.83-.07,.06-.3,.09-.37,.04-.17-.12-.44-.31-.41-.43,1.72-8.43,4.14-16.71,6.69-24.93,.21-.46,0-1.35-.64-1.1-4.86,3.31-9.25,7.26-14.02,10.69-.15,.1-.48,.05-.71,.02-.08,0-.2-.19-.17-.27,1.36-5.05,2.66-10.11,4.13-15.14,1.19-4.09,2.6-8.13,3.89-12.2,.26-.83,.4-1.68,.57-2.52,.02-.08-.09-.21-.19-.26-.1-.05-.31-.08-.39-.03-.94,.6-1.9,1.18-2.8,1.83-4.07,2.81-7.89,5.96-12.13,8.52-.63,.25-.84-.68-.6-1.12M ,2.35-7.85,4.66-15.71,7.51-23.45,1.07-2.89,2.04-5.8,3.05-8.7,.03-.52,.57-1.1,.25-1.55-.2-.06-.51-.15-.64-.08-3.03,1.79-6.05,3.6-9.05,5.42-2.04,1.24-4.04,2.51-6.08,3.75-.39,.24-.81,.52-1.4,.34-.26-.55,.08-1.05,.24-1.56,2.68-8.56,5.63-17.07,8.77-25.53,1.34-3.61,2.74-7.21,4.1-10.81,.23-.61,.56-1.21,.35-1.88-.03-.08-.17-.22-.22-.21-.38,.08-.79,.13-1.1,.3-4.4,2.29-8.78,4.61-13.18,6.91-.9,.47-1.82,.92-2.75,1.36-.32,.14-.72-.28-.73-.52,1.86-6.64,4.7-13.02,7.05-19.53,3.1-7.91,6.34-15.78,9.51-23.66,.18-.79,.98-1.7,.36-2.42-M 5.69,1.67-11.18,4.75-16.8,6.91-.65,.15-1.92,.99-2.36,.21,4.46-13.74,10.75-27.06,16.46-40.48,1.68-3.75,3.36-7.5,5.04-11.25,.18-.41,.31-.83-.17-1.25-6.32,1.58-12.41,4.04-18.65,5.95-.63,.21-1.25,.4-1.95,.22l.05,.02c-.33-.66-.01-1.27,.25-1.87,1.93-4.48,3.82-8.97,5.81-13.43,6.58-15.41,14.28-30.43,21.21-45.69,.04-.13-.27-.46-.4-.45-.79,.05-1.61,.1-2.37,.26-5.97,1.3-11.94,2.63-17.91,3.95-.67,.16-2.27,.61-1.98-.57,10.4-23.34,21.92-46.19,34.01-68.76,.29-.55,.86-1.11,.48-1.8-.78-.31-1.58-.13-2.38-.04-6.53,.74-13.07,1.49-19.6M ,2.23-.75-.04-2.64,.48-2.61-.64,8.94-18.7,18.78-36.91,28.75-55.14,4.44-7.96,8.88-15.93,13.35-23.89,.54-.97,.9-2.04,2.03-2.87,8.15-.27,16.38-.03,24.55-.1,3.32-.18,2.25,1.06,.99,3.08-15.12,24.52-29.56,49.43-43.22,74.76-.91,1.26-.73,2.29,1.12,1.98,7.48-.57,15.31-2.36,22.74-2.16,.23,.62-.08,1.11-.36,1.59-1.52,2.64-3.11,5.26-4.6,7.91-10.93,19.39-21.62,38.84-31.36,58.8-.12,.29,.34,.62,.76,.53,7.15-1.53,14.29-3.08,21.44-4.62,1.6,0-.12,1.96-.32,2.68-9.85,18.68-19.81,37.44-28.25,56.69,.37,.67,1.45,.17,2.05,.04,6.14-1.93,12.M 22-4.02,18.38-5.85,1.39-.26,.59,1.38,.21,1.98-8.09,16.31-16.16,32.58-22.9,49.33,.37,.69,1.42,.11,1.98-.07,5.83-2.37,11.56-5.1,17.45-7.31,.52,.48,.37,.91,.19,1.3-6.3,13.7-12.54,27.51-18.01,41.48-.19,.7-.81,1.5-.22,2.13,.03,.04,.27,.04,.37,0,4.78-2.12,9.28-4.78,13.95-7.11,1.02-.53,2.06-1.02,3.12-1.49,.14-.06,.44,.05,.64,.13,.08,.03,.16,.2,.13,.28-.24,.72-.46,1.46-.78,2.16-4.51,10.03-8.54,20.19-12.44,30.38-.71,1.85-1.27,3.73-1.89,5.6-.03,.09,.06,.26,.14,.29,1.11,.31,2-.85,2.96-1.26,4.53-2.71,9.05-5.43,13.59-8.13,.19-.M 07,.83-.04,.8,.34-2.77,8.1-6.19,16.04-9.13,24.1-.33,1.39-3.92,9.4-2.5,9.45,4.35-2.35,8.2-5.57,12.37-8.24,1.02-.7,2.1-1.34,3.16-1.99,.37-.2,.67,.24,.65,.5-2.24,6.78-4.84,13.45-7.17,20.19-.94,2.69-1.74,5.42-2.58,8.14-.09,.28,.03,.6,.05,.9,.97-.07,1.45-.63,2.03-1.07,4.13-3.09,8.26-6.19,12.39-9.28,.4-.22,.86-.71,1.36-.54,.1,.04,.22,.17,.21,.25-.18,.84-.32,1.69-.58,2.52-2.11,6.46-4.25,12.91-6.36,19.36-.37,1.14-.68,2.3-1.01,3.46-.02,.09,.05,.27,.12,.28,.64,.24,1.15-.21,1.61-.56,4.61-3.79,9.46-7.31,13.91-11.26l-.14,.06Z"/M ><path class="cls-2" d="M514.25,1304.52c.91,.4,1.85,.16,2.75,0,2.63-.45,5.25-.94,7.87-1.44,6.02-1.16,12.03-2.33,18.05-3.49,.72-.07,1.59-.41,2.19,.14-13.96,13.66-29.89,26.26-44.77,39.36-2.86,2.42-4.31,3.58,.74,2.92,8.13-.87,16.23-2.1,24.39-2.69,.11,0,.33,.07,.34,.13,.04,.19,.11,.46-.01,.58-.77,.75-1.57,1.47-2.39,2.19-17.73,15.34-35.78,30.51-53.98,45.45-.98,.87-2.51,.75-3.78,.76-7.79-.14-15.62,.34-23.38-.2-1.05-.77,1.6-2.12,2.07-2.7,16.3-13.47,32.59-26.93,48.88-40.41,.35-.44,2.51-1.8,1.59-2.23-9.35,.38-18.63,2.28-28,M 2.66-.18,0-.41-.35-.32-.49,.68-.66,1.34-1.34,2.08-1.96,14.11-11.83,28.18-23.72,42.09-35.76,3.53-2.91-1.41-1.23-3.03-1.14-8.81,1.53-17.62,3.07-26.43,4.59-1.69-.37,1.47-2.2,1.94-2.8,12.08-10.67,24.92-20.89,36.24-32.07-.56-.41-1.19-.12-1.79,0-8.83,1.93-17.65,3.86-26.48,5.77-1.55,.34-3.14,.59-4.71,.86-.11,.02-.34-.04-.36-.1-.06-.17-.14-.42-.04-.53,10.65-10.26,22.91-19.55,32.99-30.2-12.26,2.45-23.65,5.87-35.97,8.23,.68-1.65,2.04-2.31,3.21-3.54,7.43-6.82,14.86-13.64,22.28-20.47,.92-1.01,2.37-1.74,2.66-3.12,.17-.03,.39-.0M 5,.28-.25-.26-.02-.33,.09-.19,.31-.8-.29-1.58-.08-2.34,.11-3.7,.91-7.38,1.86-11.08,2.78-7.94,1.73-15.76,4.36-23.8,5.5l.06,.09c-.03-.2-.18-.47-.07-.59,.71-.78,1.44-1.55,2.22-2.29,6.64-6.38,13.29-12.74,19.93-19.12,.52-.5,1.03-1,1.49-1.53,.1-.11,0-.37-.08-.54-.76-.25-1.88,.25-2.69,.37-11.52,3.01-23.15,5.71-34.8,8.37-3.14,.77-2.07-.49-.53-1.95,6.26-6.35,12.8-12.45,18.91-18.94,.3-1.15-1.4-.44-1.99-.38-12.5,3.03-25.14,5.66-37.74,8.39-.82,.07-1.87,.59-2.55-.05-.07-.06-.07-.24-.01-.31,.53-.62,1.06-1.24,1.63-1.84,4.99-5.22,M 9.99-10.43,14.98-15.66,.32-.45,1.63-1.65,.61-1.79-14.38,2.75-28.71,5.79-43.21,8.19-.73,.06-1.6,.35-2.21-.17-.07-.05-.09-.23-.03-.31,4.78-5.92,10.3-11.25,15.08-17.17,.1-.22-.12-.75-.47-.69-10.72,1.63-21.34,3.61-32.11,5-5.58,.7-11.12,1.73-16.71,2.31-.26-.03-.74-.29-.57-.62,3.73-4.9,7.77-9.57,11.62-14.38,.32-.57,2.33-2.43,.96-2.64-4,.44-8,.91-11.99,1.35-14.11,1.4-28.3,3.38-42.44,3.86-.16-.75,.37-1.28,.76-1.83,2.44-3.47,4.89-6.94,7.34-10.41,.6-.84,1.23-1.67,1.76-2.54,.39-.65,1.38-1.31,.74-2.04-.46-.53-1.5-.24-2.28-.18-M 19.51,1.31-39.04,2.04-58.59,2.32-.46-1.31,.66-2.23,1.15-3.36,2.2-3.93,4.42-7.86,6.61-11.79,1.49-2.58-.23-1.98-2.17-2.14-22.51,.08-44.98-.98-67.45-2.01l.09,.1c2.43-6.07,4.86-12.13,7.29-18.2l-.12,.07c24.25,2,48.57,2.9,72.9,3.25l-.09-.1c-2.84,5.22-5.68,10.44-8.51,15.66-.42,.78-.06,1.18,1.12,1.17,20.85,.12,41.66-1.01,62.47-1.86l-.06-.11c-3.46,5.11-6.92,10.22-10.38,15.33-.3,.47-.49,1.2,.3,1.32,10.47-.6,20.89-1.64,31.32-2.68,7.89-.75,15.75-1.68,23.6-2.61,.34-.04,.78,.42,.65,.66-.17,.29-.31,.6-.51,.87-3.28,4.34-6.69,8.59-M 10.01,12.9-.49,.64-.93,1.31-1.37,1.97-.21,.4,.34,.46,.62,.56,16.87-1.79,33.57-5.37,50.34-7.41,.2,.64-.26,1.06-.62,1.48-4.36,5.18-8.88,10.25-13.17,15.49-.08,.22,.14,.72,.51,.66,1.85-.22,3.69-.62,5.52-.94,13.5-2.45,26.89-5.38,40.34-8.03,1.06,.2-.31,1.36-.59,1.82-4.28,4.7-8.58,9.39-12.86,14.09-.71,.78-1.39,1.58-2.07,2.38-.29,.35,.32,.55,.54,.55,13.44-2.62,26.67-6.03,39.94-9.2,1.02-.15,2.07-.69,3.08-.3,.05,.6-.49,.97-.89,1.38-5.86,6.33-12.18,12.28-17.84,18.78,1.27,.34,2.26-.14,3.25-.37,4.9-1.18,9.77-2.42,14.63-3.68,7.5M 9-2.16,15.44-3.72,22.88-6.28l-.02-.05c.86,1.14-.68,1.96-1.33,2.77-5.57,5.54-11.14,11.08-16.71,16.62-1.03,1.24-5.53,4.61-.98,3.38,11.98-3.24,24.05-6.18,35.93-9.73,1.38,.06-.89,1.99-1.25,2.43-6.86,6.8-13.74,13.6-20.81,20.2-1.24,1.26-4.29,3.67-.25,2.61,10.83-2.94,21.66-5.87,32.45-8.93,3.55-.99,1.25,.81,.04,2.15-6.14,5.86-12.3,11.71-18.47,17.55-.59,.93-10.64,8.92-8.22,8.72,11.07-2.62,22.01-5.69,33.01-8.59,3.22-.52-.59,2.19-1.3,3.01-10.02,9.16-20.04,18.32-30.06,27.48-.53,.49-1.05,.98-1.52,1.51-.1,.11,0,.36,.07,.53,.03,.M 06,.25,.13,.36,.1,3.11-.68,6.24-1.33,9.33-2.06,7.23-1.69,14.45-3.42,21.68-5.13,.4,0,1.2-.32,1.28,.14-12.14,12.22-25.76,23.14-38.51,34.8-.7,.62-1.67,1.12-1.84,2.06-.18,.23-.16,.26,.08,.09l-.19-.14Z"/><path class="cls-2" d="M1277.84,882.64c-9.33-9.29-17.97-19.35-27.59-28.59-5.31-5.29-10.7-10.51-16.06-15.76-.53-.46-1-1.15-1.81-1.02-.06,0-.19,.19-.17,.27,.74,2.73,1.47,5.46,2.25,8.19,1.19,4.19,2.41,8.38,3.62,12.57,.21,.73,.43,1.47,.2,2.23l.12-.06c-1.32-.13-2.06-1.61-3.03-2.39-11.53-11.59-23.34-23.98-36.24-34.17-.15,.13-M .36,.33-.33,.46,.29,1.05,.61,2.09,.95,3.13,2.02,6.14,4.06,12.28,6.07,18.42,.24,.72,.36,1.46,.52,2.2,.01,.06-.11,.19-.2,.21-.91-.15-1.56-1.18-2.29-1.71-5.69-5.47-11.28-11-17.08-16.39-4.4-4.08-9.06-7.97-13.62-11.94-.42-.37-.82-.82-1.62-.72-.24,.9,.33,1.69,.61,2.49,1.92,5.49,3.93,10.97,5.88,16.46,.88,2.48,1.67,4.98,2.48,7.47-.01,.23-.41,.35-.6,.19-9.04-7.91-17.69-16.26-26.88-24.12-.91-.79-1.87-1.55-2.83-2.29-.11-.08-.42-.03-.62,.01-.06,.01-.13,.2-.1,.29,.3,.94,.61,1.87,.94,2.8,2.79,7.65,5.61,15.29,8.36,22.95,.33,.91,.M 9,1.81,.66,2.88-1.38-.35-2.18-1.49-3.25-2.32-6.83-5.81-13.65-11.62-20.49-17.43-.83-.7-1.74-1.34-2.63-1.99-.08-.06-.33-.08-.38-.04-.7,.54,0,1.38,.14,2.06,3.14,8.8,6.29,17.59,9.44,26.39,.18,.5,.53,.99,.14,1.53-1.12-.24-1.72-1.01-2.47-1.61-7-5.51-13.76-11.32-20.89-16.66-.19-.11-.89-.17-.88,.23,.76,2.29,1.54,4.57,2.33,6.86,2.47,7.16,4.96,14.32,7.42,21.48,.25,.72,.39,1.47,.56,2.21,.02,.09-.08,.26-.16,.28-.23,.04-.56,.09-.69,0-.91-.64-1.77-1.32-2.65-1.99-5.18-3.93-10.37-7.86-15.56-11.78-2.98-2.17-3.36-2.06-2.1,1.55,3,8.7M 2,5.79,17.48,8.45,26.27,.32,1.05,.62,2.09,.89,3.15,.04,.15-.14,.34-.22,.52-1.02-.15-1.6-.79-2.29-1.28-4.43-3.15-8.85-6.32-13.28-9.46-1.19-.66-2.5-2.09-3.85-2.19-.39,.15-.41,.49-.34,.8,.15,.63,.3,1.27,.5,1.89,2.97,9.62,5.61,19.29,8.25,28.97,.48,2.29,1.19,3.95-1.72,1.89-4.37-2.88-8.72-5.77-13.1-8.64-1.01-.48-2.14-1.69-3.3-1.46-.07,.02-.13,.2-.11,.3,.54,2.22,1.05,4.44,1.64,6.65,2.38,9.9,5.2,19.85,6.75,29.82-.8,.13-1.31-.24-1.84-.57-4.61-2.81-9.18-5.69-13.88-8.37-1.67-.89-1.86-.11-1.64,1.48,2.13,10.62,4.17,21.26,5.93,3M 1.95-.06,1.26,2.02,7.54-1,5.37-4.38-2.55-8.84-4.94-13.29-7.36-.55-.25-1.52-.88-2.01-.3,.63,9.55,2.74,19.02,3.46,28.59,.41,4.19,.81,8.38,1.18,12.57-.02,.64,.21,1.9-.75,1.85-5.2-2.19-10.07-5.12-15.33-7.17-.15-.05-.6,.11-.63,.22,.7,15.66,1.97,31.4,1.79,47.13,0,.29-.55,.56-.87,.46-4.51-1.6-8.81-3.74-13.26-5.49-.84-.32-2.67-1.24-2.95,.06-.58,17.55-.37,35.24-2.32,52.69-2.22,.08-4.22-1.27-6.33-1.84-3.2-1.13-6.41-2.26-9.63-3.35-.32-.11-.75,.01-1.14,.02l.04,.05c-.76-1.38-.23-2.95-.2-4.45,.21-2.79,.42-5.59,.63-8.38,1.11-13.2M 1,1.8-26.44,2.19-39.69,.04-1.75,.14-2.73,2.55-1.73,3.91,1.44,7.8,2.92,11.71,4.37,1.46,.47,2.34,.65,2.4-1.23,.18-5.82-.1-11.63-.2-17.44,.05-9.37-.78-18.72-.95-28.08,.52-1.28,3.17,.62,4.13,.78,3.44,1.47,6.87,2.97,10.3,4.46,.48,.21,.96,.4,1.58,.12-.24-14.03-3.16-28.74-4.17-42.68,.63-.61,1.42-.04,2.08,.2,3.93,1.88,7.85,3.77,11.77,5.66,.68,.33,1.29,.8,2.24,.67,.08-3.91-1.26-7.89-1.72-11.81-1.2-7.26-2.5-14.51-3.91-21.73-.22-1.17-.49-2.34-.69-3.51-.14-.8-.75-1.61-.05-2.43,1.18-.03,1.98,.63,2.85,1.09,4.46,2.11,8.59,5.1,13.M 2,6.76,.45,0,.32-1.1,.3-1.42-.87-4.03-1.72-8.06-2.69-12.08-1.64-6.76-3.38-13.51-5.06-20.26-.08-.8-1.02-2.82,.33-2.76,5.05,2.58,9.81,5.7,14.74,8.49,.53,.31,1.03,.71,1.79,.51l-.02,.11-.08-.05c.33-.87,.02-1.71-.21-2.54-1.94-6.81-3.89-13.63-5.87-20.43-1.06-3.67-2.17-7.32-3.25-10.98-.02-.08,.06-.25,.14-.27,.76-.32,1.42,.28,2.05,.6,5.21,3.23,10.39,6.48,15.59,9.73,.18,.07,.88,.03,.83-.35-2.81-10.12-6.68-19.93-9.9-29.93-1.78-4.4,2.57-.57,4.07,.24,5.2,3.4,10.18,7.11,15.5,10.31,.35-.51,.22-.91,.07-1.32-3.38-9.64-6.91-19.23-1M 0.51-28.8-.47-1.04,.26-1.31,1.37-.56,6.34,4.29,12.47,8.85,18.65,13.36,.59,.31,1.25,.99,1.93,.95,.39-.38-.16-1.35-.25-1.84-3.15-8.22-6.32-16.45-9.47-24.67-.87-2.48-2.11-4.38,1.42-1.97,7.44,5.59,14.86,11.22,22.2,16.91,0-.02,.04-.18,.04-.18l-.09,.26c.44-.75,.17-1.48-.12-2.2-1.08-2.77-2.15-5.55-3.27-8.32-1.96-4.81-3.97-9.61-5.91-14.42-.27-.67-.93-1.34-.43-2.12,.74,.04,1.22,.44,1.72,.79,1.91,1.36,3.82,2.72,5.71,4.1,6.17,4.5,12.36,8.99,18.12,13.84,.35,.3,.84,.49,1.28,.71,.05,.02,.29-.1,.29-.14-2.2-7.57-5.85-14.74-8.68-22M .12-.17-.4-.34-.79,.02-1.18,1.2,.33,1.94,1.13,2.82,1.79,9.53,6.88,18.32,14.9,27.7,21.63,.15-.12,.37-.31,.33-.43-.29-.94-.6-1.88-.96-2.8-1.39-3.6-2.8-7.19-4.21-10.79-1.01-2.57-2.03-5.13-3.02-7.7-.1-.27-.01-.59-.01-.89,.81,.1,1.26,.53,1.72,.9,10.57,8.38,20.78,17.14,30.94,25.98,.85,.53,1.53,1.84,2.64,1.63,.07-.01,.16-.19,.14-.27-2.08-6.82-4.75-13.46-7.06-20.21-1.14-2.86,.99-1.16,2.17-.14,12.27,10.63,24.41,21.55,36.16,32.68,.51,.49,1.13,.9,1.71,1.33,.19,.13,.55,.04,.55-.22-1.5-7.11-4.17-14.01-6.09-21.04,.22-1.57,2.63,1M .34,3.16,1.68,14.99,13.73,29.27,28.14,43.76,42.35,.06,.06,.29,.1,.34,.07,.17-.13,.44-.3,.42-.44-.07-.75-.18-1.5-.35-2.24-1.16-4.97-2.36-9.94-3.52-14.92-.24-1.79-1.69-5.74,1.36-2.62,17.96,17.72,35.36,36.12,52.5,54.54,1.53,.56,.58-2.14,.69-2.91-.7-5.57-1.52-11.13-2.24-16.7-.04-.29,.1-.6,.23-.89,.3-.42,1.64,.95,2.01,1.39,21.11,22.31,41.18,45.46,61.07,68.76,.89,1.03,1.3,2.06,1.29,3.3-.05,6.14-.02,12.28-.04,18.42,0,.29-.17,.58-.3,.86-.43,.53-1.66-1.26-2.07-1.72-8.35-9.92-16.64-19.87-25.06-29.75-10.08-11.84-20.25-23.64-3M 0.78-35.23-.71-.78-1.47-1.54-2.2-2.3-.19-.2-.45-.24-.72-.09-.09,.05-.21,.15-.2,.22,.06,1.07,.06,2.15,.21,3.21,.67,5.79,1.89,11.53,2.17,17.34,.02,.28-.14,.42-.49,.4-.77-.1-1.27-1.08-1.85-1.56-5.68-6.42-11.35-12.84-17.04-19.26-10.28-11.61-21.08-22.91-31.94-34.17-.43-.32-.92-1.02-1.52-.9-.1,.04-.21,.17-.2,.24,1.27,6.71,2.84,13.36,4.32,20.03,.18,.84,.42,1.7,.01,2.55l.03-.08Z"/><path class="cls-2" d="M255.77,599.6c1.93-.77,3.29,1.94,4.75,2.88,7.59,6.85,15.18,13.69,22.78,20.53,1.13,.89,2.08,2.16,3.53,2.54,.68-.66-.5-2.46M -.7-3.34-2.79-7.64-5.59-15.27-8.37-22.92-1.44-4.03,.26-2.29,2.26-.64,7.01,5.96,14.02,11.92,21.04,17.87,.83,.7,1.71,1.37,2.61,2.02,.12,.08,.46,0,.68-.05,.07-.01,.14-.19,.11-.27-.41-1.25-.83-2.49-1.27-3.73-2.95-8.39-6.17-16.69-8.98-25.12-.09-.29-.26-.64,.2-.8,1.29,.14,2.42,1.79,3.55,2.49,5.98,4.81,11.96,9.62,17.96,14.41,.65,.52,1.2,1.18,2.33,1.33,.12-1.9-1.14-3.68-1.6-5.53-2.68-7.77-5.35-15.55-8.03-23.33-.29-.83-.67-1.64-.39-2.52l-.11,.07c1.37,.01,2.29,1.39,3.42,2.05,5.96,4.33,11.57,9.16,17.77,13.15,.9,.32,.45-1.04,.M 36-1.49-3.43-10.28-6.83-20.57-9.82-30.98,.17-.73,1.16-.02,1.53,.18,5.92,4.39,12.33,8.28,17.96,12.98,.05-.05,.11-.11,.16-.16l-.22,.14c.98-.84,.34-2.05,.12-3.08-2.99-9.61-5.66-19.28-8.26-28.96-.23-.84-.37-1.7-.5-2.55-.02-.14,.23-.33,.39-.46,.74-.08,1.57,.88,2.26,1.2,4.58,3.01,9.15,6.02,13.74,9.02,.6,.39,1.17,.91,2.21,.78-1.03-6.07-3.07-12-4.35-18.03-1.3-6.2-3.13-12.58-4-18.73,.64-.25,1.2,.14,1.73,.45,4.46,2.81,9.01,5.48,13.55,8.17,.61,.36,1.28,1.13,2.05,.7,.67-.38,.2-1.22,.09-1.84-.28-1.6-.65-3.19-.95-4.78-1.07-5.75-M 2.14-11.5-3.2-17.25-.67-5.1-2.44-10.2-2.28-15.35,.67-.74,1.92,.48,2.65,.72,4.22,2.31,8.43,4.64,12.66,6.94,.33,.11,1.12,.41,1.4,.11-.26-7.39-2-14.77-2.74-22.15-.65-6.95-1.67-13.92-1.84-20.89,1.29-.32,2.2,.63,3.34,1.04,3.8,1.84,7.6,3.68,11.41,5.52,.57,.27,1.15,.59,1.89,.33-.48-15.29-1.83-30.75-1.87-46.13,.02-.58,0-1.59,.81-1.56,4.8,1.56,9.32,3.87,14.02,5.71,3.36,1.54,2.28-2.04,2.52-4.06,.26-16.24,.48-32.58,2.15-48.73,.74-.72,2.04,.26,2.89,.39,3.82,1.34,7.62,2.72,11.46,4.03,.83,.28,1.66,.77,2.68,.52,.01,0-.04-.05-.04-M .05,.33,.36,.53,.76,.5,1.2-.23,3.55-.55,7.09-.81,10.64-1.09,13.43-1.83,26.87-2.22,40.34-.15,.83,.19,2.46-1.06,2.45-4.52-1.28-8.83-3.18-13.26-4.74-.61-.15-1.63-.63-2.1,0-.63,2.6-.23,5.38-.33,8.04,.03,12.93,.81,25.83,1.18,38.74,0,.25-.59,.56-.87,.45-1.21-.47-2.44-.91-3.63-1.41-3.33-1.42-6.64-2.86-9.96-4.29-.48-.21-.97-.35-1.54-.14,.34,14.16,2.83,28.33,4.25,42.45,.05,.4-.68,.73-1.17,.5-3.6-1.68-7.2-3.37-10.79-5.06-1.45-.6-2.64-1.66-4.26-1.72,1.25,13.08,4.5,26.06,6.72,39.04-.04,.24-.47,.61-.78,.47-.94-.42-1.89-.82-2.79M -1.3-3.59-1.91-7.16-3.84-10.73-5.76-.66-.36-1.29-.78-2.29-.81,1.41,10.01,4.36,19.92,6.74,29.83,.56,2.1,1.04,4.22,1.52,6.34,.03,.13-.23,.33-.4,.46-.59,.13-1.23-.42-1.76-.64-4.82-2.75-9.56-5.62-14.42-8.31-.29-.14-.76,.26-.78,.48,2.37,11.27,6.39,22.21,9.43,33.36-.16,1.16-2.49-.64-3.07-.89-4.77-2.99-9.54-5.97-14.29-8.99-.32-.2-.69-.39-1.07-.19-.15,.08-.21,.39-.17,.57,.2,.84,.42,1.69,.7,2.52,3,8.94,6.01,17.87,9,26.81,.24,.72,.39,1.46,.55,2.19,.02,.07-.12,.2-.22,.24-.99,.02-2.38-1.23-3.31-1.69-4.86-3.25-9.68-6.52-14.53-9M .78-.52-.2-1.88-1.48-2.17-.61,.54,1.67,1.05,3.34,1.65,4.99,2.83,7.75,5.69,15.49,8.54,23.23,.13,.77,1.03,1.73,.29,2.35-.05,.04-.29,.02-.38-.04-6.59-4.14-12.68-9.02-19.07-13.46-.68-.49-1.23-1.16-2.25-1.26-.36,.41-.19,.82-.04,1.23,1.92,5.04,3.83,10.09,5.77,15.13,1.67,4.32,3.38,8.62,5.04,12.94,.05,.13-.16,.35-.3,.5-1.16-.24-2.15-1.3-3.14-1.94-6.32-4.85-12.63-9.7-18.96-14.54-.67-.51-1.21-1.17-2.21-1.32-.34,.56-.12,1.06,.08,1.58,3.2,8.23,6.48,16.43,9.86,24.59,.03,.08-.03,.26-.1,.29-.74,.34-1.33-.32-1.93-.68-7.74-5.52-15.M 44-11.08-22.73-16.99-.67-.44-1.31-1.34-2.17-1.3-.56,.41-.04,1.26,.11,1.79,2.62,6.45,5.24,12.89,7.86,19.34,.21,.51,.38,1.03,.54,1.55,.03,.09-.06,.27-.14,.29-.77,.27-1.35-.4-1.93-.77-9.55-7.43-19.34-14.56-28.2-22.63-.06,.07-.11,.13-.15,.18l.21-.23c-1.02,1.01-.13,2.27,.21,3.38,2.32,5.95,4.65,11.89,6.96,17.84,.19,.68,.92,1.86-.4,1.54-11.76-8.88-22.65-18.71-33.81-28.11-.17-.09-.86-.14-.81,.27,1.98,6.6,4.61,13.01,6.84,19.54,.26,.72,.59,1.43,.33,2.2l.11-.07c-1.34-.06-2.25-1.43-3.3-2.15-6.83-6.05-13.69-12.08-20.45-18.19-5.M 25-4.74-10.36-9.57-15.54-14.36-.34-.31-.63-.71-1.23-.75-.4-.03-.4,.44-.36,.71,1.88,6.25,3.76,12.51,5.66,18.75,.25,.84,.57,1.66,.38,2.53l.08-.06c-.61,.03-.98-.29-1.33-.61-14.43-13.12-28.47-26.75-42.07-40.53-.54-.36-3.92-4.45-4.2-3.04,1.42,6.47,3,12.91,4.52,19.36,.57,2.59-.79,1.75-2.07,.45-17.33-17.34-34.57-34.89-50.98-53.03-.6-.53-1.03-1.49-1.98-1.32-.06,0-.17,.18-.16,.28,.17,1.72,.3,3.43,.53,5.14,.65,4.82,1.35,9.63,2.02,14.45,0,.28,.05,.72-.32,.79-.61,.09-1.09-.58-1.52-.9-4.52-4.83-9.06-9.65-13.52-14.51-16.16-17.61M -31.73-35.51-47.18-53.66-1.28-1.43-2.72-2.98-2.35-4.99-.05-6.23-.16-12.48-.17-18.71,.36-.06,.73-.2,.82-.12,.46,.37,.9,.78,1.27,1.21,6.24,7.42,12.42,14.87,18.7,22.26,12.7,14.97,25.48,29.91,38.81,44.53,.74,.62,1.2,1.73,2.34,1.49-.46-7.1-1.89-14.13-2.72-21.21,.46-1.57,2.15,1.12,2.67,1.56,5.13,5.81,10.26,11.61,15.39,17.42,11.26,12.09,22.32,25.48,34.65,36.36,.09-.04,.2-.15,.2-.23-.03-.64,0-1.29-.13-1.91-1.33-6.83-3.44-13.57-4.36-20.43,1.88,.81,2.81,2.61,4.24,3.96,13.23,13.91,26.63,28.81,41.3,41.25,.06-.2,.23-.42,.18-.61M -.59-2.21-1.18-4.42-1.81-6.62-1.31-5.4-3.55-10.69-4.35-16.15,1.89,.81,2.89,2.56,4.37,3.9,11.15,11.16,22.61,22.97,34.98,32.9,.1-.03,.26-.15,.25-.21-.16-.74-.29-1.48-.53-2.2-2.23-6.76-4.48-13.52-6.72-20.29-.07-.45-.44-1.22-.1-1.55,.22-.04,.56-.1,.66,0,.74,.62,1.45,1.27,2.14,1.93,9.82,9.53,19.64,19.04,30.22,27.8,.89,.69,1.89,1.1,1.34-.63-2.68-7.56-5.36-15.12-8.09-22.67-.29-.81-.34-1.72-1.16-2.37l-.02,.03Z"/><path class="cls-2" d="M136.16,1156.82c1.49-6.81,2.57-13.68,4.7-20.35l-.15,.11c15.17,2,30.38,3.66,45.61,5.06,10.M 96,1.06,22.02,1.32,32.95,2.72l-.09-.1c-2.03,4.9-4.08,9.8-6.1,14.7-.38,.91-.67,1.85-.95,2.78-.04,.13,.19,.43,.36,.47,22.24,1.54,44.62,1.24,66.91,1.56,.32,.52,.16,.92-.08,1.32-1.49,2.53-2.96,5.07-4.45,7.61-1.32,2.24-2.66,4.47-3.97,6.71-.26,.51-.88,1.32-.18,1.7,16.08,.32,32.28-1.03,48.37-1.86,3.22-.2,6.44-.43,9.67-.6,1.03-.04,1.34,.44,.79,1.24-3.39,4.79-6.97,9.46-10.42,14.21-.83,1.21-1.96,2.48,.47,2.3,17.22-1.24,34.55-3.64,51.62-5.11,.51,.85-.71,1.53-1.09,2.23-4,4.73-8.01,9.45-12,14.18-.43,.51-1.08,.97-.82,1.74,12.23-M .95,24.38-3.38,36.56-4.99,3.7-.57,7.38-1.21,11.07-1.81,.24-.04,.74,.05,.74,.1,.14,.83-.53,1.37-1.05,1.93-5.05,5.76-11.06,11.23-15.59,17.19,.57,.62,1.43,.15,2.15,.1,4.47-.76,8.94-1.56,13.42-2.3,9.83-1.56,19.44-3.75,29.23-5.39-.34,1.49-1.65,2.18-2.6,3.29-5.23,5.21-10.47,10.41-15.7,15.61-.45,.64-1.72,1.25-1.42,2.09,13.3-1.75,26.66-5.19,39.89-7.81,.51-.11,1.02-.32,1.64-.06-.64,1.57-2.34,2.52-3.47,3.78-6.01,5.67-12.02,11.33-18.03,17.01-.52,.49-1,1.01-1.48,1.52-.07,.07-.08,.26-.02,.31,.6,.56,1.46,.17,2.17,.09,12.02-2.23,M 24.27-5.88,36.28-7.4-.38,1.57-2.12,2.4-3.16,3.57-7.22,6.54-14.45,13.07-21.67,19.61-.62,.56-1.2,1.16-1.78,1.75-.07,.07-.12,.26-.06,.3,.15,.12,.39,.29,.55,.26,11.4-2.07,22.67-4.7,33.95-7.19,.6-.12,1.25-.37,1.8,.02,.04,.02,0,.22-.08,.3-9.5,8.88-19.45,17.28-29.11,25.98-.73,.72-1.8,1.21-1.93,2.3,.93,.22,1.83,.05,2.74-.18,10.4-1.94,20.68-4.31,31.12-6.01-.59,1.55-2.06,2.25-3.2,3.39-10.74,9.7-23.56,19.18-33.45,29.2,.46,.37,1.66,.09,2.25,.08,9.65-1.36,19.22-3.58,28.92-4.38l-.05-.09c.03,.2,.18,.48,.07,.59-.76,.75-1.53,1.5-2.M 37,2.2-7.55,6.3-15.12,12.58-22.68,18.88-5.5,4.59-10.98,9.19-16.47,13.79-.29,.4-1.68,1.01-1.17,1.53,.17,.13,.46,.23,.69,.22,1.88-.13,3.76-.27,5.63-.46,5.88-.58,11.76-1.18,17.64-1.76,1.46-.15,2.93-.26,4.4-.37,.07,0,.18,.11,.21,.18,.04,.1,.09,.25,.03,.31-.68,.66-1.34,1.34-2.09,1.95-15.58,12.86-31.26,25.62-47.03,38.27-2.14,1.71-2.06,1.63-4.96,1.63-6.87,.01-13.75,.02-20.62,.02-3.63,.05-3.89-.42-.84-2.71,14.76-11.96,29.77-23.64,44.32-35.85,.13-.13,.07-.4,.05-.6-.65-.29-1.6-.09-2.33-.1-8.3,.73-16.59,1.56-24.88,2.32-1.18,.M 09-2.28-.05-.9-1.29,12.46-10.29,24.91-20.6,37.36-30.91,.48-.56,2.91-2.17,1.79-2.43-10.46,.94-20.88,3.59-31.36,4.24,.03-.24-.05-.51,.08-.64,.87-.82,1.78-1.61,2.7-2.39,9.61-8.15,19.23-16.3,28.84-24.45,1.04-1.01,2.38-1.71,2.94-3.08-9,1-17.91,3.11-26.88,4.5-1.01,0-9.91,2.41-6.69-.38,8.99-7.86,17.97-15.76,26.9-23.68,1.4-1.38,2.67-2.31-.39-1.89-10.21,1.95-20.42,3.92-30.62,5.9-.75,.08-4.38,1.11-4.28-.05,8.18-7.91,16.91-15.29,25.03-23.26,.22-.87-.62-.64-1.19-.51-11.72,2.46-23.6,4.37-35.4,6.56-.91,.01-2.29,.66-2.99-.05-.08-M .16,.01-.44,.16-.59,.74-.77,1.51-1.52,2.28-2.26,5.77-5.55,11.55-11.1,17.32-16.65,.51-.49,.99-1.02,1.46-1.54,.07-.07,.09-.25,.03-.31-.34-.39-.86-.4-1.34-.29-10.25,1.8-20.5,3.63-30.76,5.4-3.42,.59-6.88,1.03-10.32,1.52-.17,.02-.42-.16-.58-.29-.07-.05-.06-.24,0-.31,.78-.88,1.55-1.76,2.37-2.61,4.86-5.03,9.74-10.05,14.59-15.08,.56-.58,1.32-1.1,1.33-2.06-10.47,1.08-20.83,3.25-31.33,4.4-5.17,.46-10.31,1.8-15.5,1.77,0-.28-.1-.54,.02-.69,.56-.73,1.17-1.45,1.78-2.15,3.78-4.32,7.58-8.64,11.36-12.97,.69-.79,1.34-1.61,1.99-2.43,M .06-.07,.06-.24,0-.3-.15-.15-.37-.38-.54-.37-1.48,.1-2.96,.2-4.42,.39-10.64,1.39-21.35,2.34-32.02,3.49-4.55,.43-9.11,.75-13.67,1.09-1.95-.09,.22-2.02,.64-2.76,3.62-5.04,7.81-9.73,11.08-14.99,.05-.1-.22-.45-.35-.45-5.24-.11-10.45,.72-15.68,.96-12.63,.77-25.28,1.26-37.93,1.8-.83-.13-3.49,.54-3.41-.68,3.08-5.66,6.84-10.94,9.95-16.59,.19-1.16-1.78-.72-2.5-.85-4.45,.05-8.89,.14-13.34,.19-14.96,.21-29.91-.27-44.87-.55-1.21-.03-2.41-.14-3.62-.21-.3-.02-.72-.49-.63-.71,.31-.82,.61-1.65,.96-2.46,1.93-4.92,4.5-9.65,6.06-14.6M 9,.03-.15-.18-.38-.36-.48-2.05-.5-4.28-.39-6.39-.61-16.53-.77-33.02-2.06-49.49-3.62-5.21-.52-10.42-1.08-15.63-1.6-1.05-.1-2.13-.33-3.19,.01l.12,.1Z"/><path class="cls-2" d="M1007.13,191.71c12.91-2.58,25.93-4.91,38.93-7.08,1.98,.1-1.1,2.24-1.51,2.82-5.68,5.46-11.36,10.92-17.04,16.38-.85,.95-2.06,1.61-2.38,2.89,11.93-1.59,23.69-4.1,35.59-5.98,2.23-.38,4.5-.62,6.76-.89,.19-.02,.53,.13,.6,.27,.08,.97-1.46,1.87-2.02,2.67-5.29,5.57-10.8,10.95-15.95,16.65-.3,1.52,7.01-.38,8.16-.35,11.63-1.79,23.27-3.53,34.96-4.92,1.17-.14M ,2.38-.44,3.58-.07l-.09-.07c.12,1.41-1.41,2.22-2.14,3.3-3.78,4.32-7.56,8.64-11.33,12.97-.54,.62-1.02,1.26-1.51,1.91-.15,.31,.38,.6,.61,.62,8.55-.65,17.06-1.9,25.6-2.69,8.41-.67,16.89-2.21,25.29-2.13,0,1.26-1.16,2.11-1.81,3.13-3.27,4.33-6.54,8.66-9.81,12.99-.41,.69-1.18,1.24-.8,2.1,19.13-1.24,38.05-2.36,57.27-2.98,.22,1.55-.92,2.46-1.57,3.73-2.72,4.56-5.65,9.02-8.23,13.66-.31,1.25,3.35,.66,4.16,.83,11.04,0,22.08-.1,33.12-.02,9.01,.14,18.04,.24,27.04,.69,1.42,.37,.08,1.95-.1,2.84-2.04,5.01-4.36,9.92-6.25,14.98-.09,.2M 6,.28,.67,.63,.69,2.95,.21,5.9,.47,8.85,.59,13.56,.66,27.08,1.8,40.6,3.04,7.22,.65,14.43,1.41,21.64,2.1,1.01-.02,2.21,.4,3.03-.31l-.02-.05c.15,.74,.3,1.46,.13,2.22-1.25,6.1-2.99,12.13-3.81,18.31l.11-.08c-17.4-1.82-34.76-4.14-52.22-5.53-9.05-.94-18.19-.99-27.2-2.25l.14,.09c2.26-5.41,4.57-10.81,6.84-16.21,.73-1.81-.08-1.85-1.67-1.94-21.78-1.09-43.6-1.27-65.4-1.33-.57-.91,.32-1.65,.67-2.48,2.75-4.79,5.74-9.47,8.34-14.34-.1-1.1-1.84-.69-2.63-.79-9.83,.32-19.66,.59-29.48,.99-8.87,.43-17.72,1.17-26.6,1.62-2.08-.15,.58-2.M 57,.94-3.41,2.8-3.81,5.62-7.6,8.42-11.4,.55-.74,1.05-1.5,1.52-2.27,.09-.15-.07-.39-.15-.69-14.44,.91-28.86,2.69-43.26,4.2-3.07,.33-6.14,.63-9.21,.93-.32,.03-.73-.48-.59-.7,.19-.29,.35-.58,.57-.85,4.02-4.86,8.16-9.63,12.22-14.46,1.76-2.25,1.58-2.29-1.23-2.09-11.94,1.6-23.88,3.25-35.79,5.1-3.3,.51-6.6,1.07-9.9,1.6-.1,.02-.3-.07-.33-.14-.08-.18-.19-.42-.1-.57,1.15-1.61,2.66-2.98,3.98-4.47,3.7-3.97,7.42-7.94,11.11-11.92,.56-.6,1.06-1.24,1.57-1.87,.06-.08,.07-.26,0-.31-.41-.33-.92-.3-1.4-.18-13.28,2.32-26.6,4.5-39.77,7.M 22-1.03,.21-2.11,.27-3.16,.38-.21,.02-.48-.27-.36-.46,5.48-5.92,11.42-11.43,17.07-17.2,.76-.76,1.52-1.51,2.24-2.29,.14-.15,.23-.54,.17-.57-.94-.52-2-.08-2.99,.06-11.94,2.2-23.81,4.6-35.61,7.23-3.07,.45-3.67,.45-.98-2,6.35-6.01,12.71-12.01,19.06-18.01,.7-.66,1.39-1.32,2.04-2,.11-.11,0-.37-.06-.55-.78-.29-1.87,.2-2.72,.27-11.96,2.3-23.91,5.61-35.88,7.4,.13-1.29,1.54-1.9,2.35-2.79,8.06-7.39,16.31-14.59,24.28-22.08,.49-1.17-1.3-.53-1.9-.5-10.32,2.05-20.59,4.24-30.81,6.6-2.75,.58-5.11,1.24-1.56-1.73,9.77-8.77,19.76-17.3M 2,29.43-26.2,.29-1.01-2.9-.03-3.51-.03-9.01,1.79-18.02,3.59-27.04,5.38-4.72,1-3.52-.02-.68-2.46,10.39-8.9,20.78-17.79,31.17-26.69,.92-.79,1.83-1.58,2.7-2.4,.12-.11,.04-.38,0-.57-9.83,.66-19.82,3.04-29.68,4.41-2.76,.3-1.06-.91,0-1.95,12.99-10.95,26.1-21.78,39.16-32.67,.74-.62,1.38-1.31,2.04-1.97,.06-.06,.01-.22-.05-.31-9.47,.1-19.17,1.9-28.75,2.52-.28-.96,1.26-1.71,1.85-2.37,15.37-12.55,30.67-25.19,46.18-37.58,1.57-1.32,3.13-2.75,5.36-2.39,7.55,0,15.09-.01,22.64-.01,3.48-.02,.72,1.55-.48,2.67-9.22,7.41-18.45,14.8-27M .67,22.21-5.03,4.05-10.04,8.13-15.04,12.2-.57,.6-1.89,1.25-1.53,2.12,6.16-.21,12.3-1.16,18.45-1.62,3.21-.29,6.43-.51,9.64-.76,.34-.03,.52,.13,.5,.38-11.87,10.8-25.06,20.73-37.36,31.24-.93,.77-1.78,1.61-2.65,2.42-.24,.31,.34,.58,.55,.58,10.32-1.37,20.61-3.54,30.98-4.25-.03,.28,.05,.55-.09,.68-.78,.74-1.6,1.46-2.43,2.16-10.71,9.1-21.43,18.2-32.11,27.3,.29,.28,.38,.28,.23,.05-.04-.06-.22-.05-.34-.08,2.52,.76,5.3-.53,7.87-.72,8.82-1.41,17.56-3.38,26.44-4.4,.11-.01,.35,.07,.35,.12,.01,.2,.05,.46-.08,.59-9.24,8.29-18.63,M 16.41-27.92,24.64-.39,.46-1.29,1-1.32,1.56,.42,.32,.92,.28,1.41,.15,10.07-1.94,20.13-3.88,30.2-5.81,1.69-.32,3.41-.55,5.12-.81,.1-.02,.28,.07,.34,.15,.06,.08,.06,.24,0,.31-.46,.52-.91,1.05-1.43,1.53-7.24,6.66-14.49,13.31-21.74,19.97-.8,.88-2.15,1.56-1.64,2.67,.04-.32-.06-.4-.3-.26l.3,.19Z"/><path class="cls-2" d="M890.55,369.3c2.59-4.6,5.15-9.23,7.76-13.82-.68-.63-1.44-.2-2.21-.07-13.91,3.39-27.43,7.57-41.1,11.6-.2,.02-.87-.17-.68-.53,2.24-4.3,4.98-8.34,7.41-12.54,1.15-2.14-1.44-.91-2.47-.66-5.23,1.71-10.48,3.38-15M .67,5.18-7.3,2.27-14.42,5.71-21.79,7.46-.28-.11-.36-.31-.22-.55,1.85-3.11,3.69-6.22,5.57-9.32,.88-1.45,1.85-2.87,2.77-4.31,.17-.27,.4-.61,.01-.85-.35-.23-.74-.04-1.1,.09-4.4,1.63-8.83,3.19-13.18,4.89-7.86,2.86-15.56,6.72-23.46,9.16-.59-.67,.26-1.39,.54-2.04,2.55-4.03,5.11-8.06,7.66-12.1,.24-.58,1.11-1.48,.88-2.04-.15-.24-.39-.3-.69-.18-4.17,1.75-8.37,3.45-12.49,5.26-5.19,2.29-10.3,4.68-15.3,7.23-.67,.34-1.43,.56-2.16,.82-.06,.02-.21-.08-.29-.15-.08-.07-.2-.2-.17-.26,.25-.61,.48-1.23,.82-1.81,2.56-4.39,5.14-8.77,7.7M -13.16,1.96-3.3-.09-1.97-2.08-1.11-7.09,3.53-14.16,7.07-21.25,10.6-2.46,1.05-5.9,3.67-2.92-1.2,2.83-4.76,5.68-9.52,8.52-14.28,.52-.93,1.51-1.99,.55-2.98,.15,.13,.29,.26,.43,.39h.01l-.42-.39c-.31,.54-.87,.81-1.43,1.07-8.55,3.88-16.42,8.67-24.73,12.8-.09,.04-.33,.03-.35-.01-.1-.18-.27-.42-.19-.56,3.38-6.52,7.53-12.63,11.38-18.9,.33-.79,1.5-1.82,.98-2.64-.76-.09-1.71,.65-2.44,.92-7.44,3.88-14.86,7.77-22.26,11.73-.42,.22-.96,.65-1.39,.37-.71-.46,0-.97,.24-1.43,4.59-7.81,9.75-15.31,14.28-23.16-.2-.8-1.43,.03-1.91,.17-6.M 89,3.56-13.81,7.06-20.59,10.82-2.67,1.44-3.33,1.67-3.4,1.27-.16-1.02,.65-1.79,1.16-2.63,4.47-7.48,9.35-14.79,14.2-22.11,3.14-4.35,2.79-4.62-1.93-2.18-6.99,3.44-13.89,7.06-20.92,10.4-1.78,.19,.02-1.75,.35-2.4,6.16-10.35,13.96-20.21,20.1-30.47-.17-.22-.42-.26-.71-.15-.97,.37-1.95,.72-2.9,1.11-4.53,1.9-9.05,3.82-13.57,5.72-1.21,.43-2.35,1.26-3.68,.89l.12,.03c6.15-10.43,13.75-20.24,20.75-30.29,1.68-2.33,3.27-4.7,4.88-7.05,.04-.06-.03-.19-.09-.26-.08-.08-.24-.19-.31-.17-.76,.21-1.53,.4-2.27,.66-5.9,2.12-11.78,4.25-17.67M ,6.38-.83,.37-1.36,.13-.92-.92,.4-.67,.89-1.33,1.33-1.99,3.85-5.44,7.64-10.9,11.57-16.3,5.08-6.98,10.19-13.95,15.6-20.78,.71-.9,1.28-1.87,1.9-2.82,.04-.07-.01-.21-.08-.28-.08-.08-.24-.19-.32-.18-1.03,.22-2.07,.43-3.07,.72-5.07,1.45-10.13,2.92-15.2,4.38-1.01,.29-2.04,.56-3.06,.82-.32,.1-.64-.42-.58-.62,9.24-13.34,19.18-26.19,29.29-39.05,2.46-3.09,4.9-6.19,7.33-9.29,.1-.13,0-.39-.08-.57-.27-.24-.8-.13-1.15-.08-6.16,1.1-12.27,2.48-18.41,3.69-1.04,.21-2.1,.36-3.17,.5-.18,.02-.43-.17-.6-.3,12.55-17.88,27.1-34.95,41.11-5M 2.14,.9-1.07,1.82-2.14,2.72-3.21,.3-.36,.54-.74,.4-1.21-.92-.3-1.85-.11-2.78,0-6.81,.75-13.61,1.52-20.41,2.27-.44,0-1.79,.18-1.55-.49,17.01-22.29,35.32-43.79,54.04-64.72,7.84-.29,15.65-.1,23.5-.19,.8,.13,3.66-.3,3.23,.89-9.18,10.29-18.82,20.21-27.84,30.56-8.48,9.59-17.02,19.14-25.18,28.9-.45,.54-.88,1.09-1.25,1.66-.06,.1,.17,.44,.34,.48,8.16-.2,16.27-2.08,24.44-2.09,.21,.99-.83,1.58-1.34,2.31-9.44,10.5-18.79,21.04-27.8,31.78-5.03,5.99-10.01,12.01-14.99,18.03-.51,.62-1.21,1.18-1.28,1.97-.01,.15,.3,.48,.4,.46,6.97-1.M 17,13.87-2.65,20.81-3.99,.56-.08,2.72-.46,2.32,.33-12.28,15.46-25.68,30.19-37.5,45.99-1.06,1.33,.18,1.2,.97,1.1,6.37-1.74,12.73-3.5,19.1-5.25,.58-.07,1.36-.47,1.9-.19,.09,.17,.23,.41,.14,.53-.82,1.11-1.65,2.22-2.54,3.3-9.76,12.39-20.67,24.57-28.96,37.54,.07,.08,.22,.18,.3,.16,.76-.21,1.53-.41,2.27-.66,5.46-1.85,10.91-3.7,16.36-5.55,1.09-.33,2.33-.96,3.41-.29v-.04c-9.71,11.25-18.38,23.51-27.13,35.53-.09,.15,.05,.4,.13,.59,.02,.04,.23,.09,.31,.06,8.02-3.25,15.9-6.81,23.87-10.18,1.96-.8,3.05-1.05,1.31,1.25-5.79,7.89-1M 1.61,15.78-17.38,23.68-1.29,1.76-2.44,3.59-3.63,5.4-.09,.13,.08,.38,.18,.56,1.18-.11,2.37-.98,3.52-1.39,7.01-3.21,14.01-6.43,21.03-9.63,.56-.25,1.21-.38,1.82-.55,.04,0,.23,.18,.21,.24-5.31,8.5-11.6,16.49-17.26,24.8-.52,.74-.88,1.58-1.77,2.13,0,0,.2,.09,.2,.09l-.12-.17c1.03,.8,2.21-.15,3.2-.57,6.66-3.18,13.31-6.35,19.97-9.53,1.53-.62,2.95-1.67,4.64-1.74l-.08-.06c.08,1.39-1.22,2.33-1.89,3.46-4.77,6.74-9.65,13.35-13.69,20.48,.31,.86,2.36-.6,2.99-.78,8.12-3.89,16.29-8.25,24.79-11.34,.63,.11-.33,1.33-.47,1.69-3.77,5.71-M 7.55,11.41-11.33,17.12-.39,.77-1.25,1.47-1.02,2.37-.18,.01-.43,.01-.35,.24,.26,.05,.35-.05,.27-.3,1.59,.13,2.88-.97,4.3-1.53,7.94-3.65,15.67-7.72,23.83-10.89,.35-.09,.84,.2,.55,.57-3.78,5.69-7.77,11.33-11.17,17.19-.15,.26-.14,.59-.17,.88,0,.07,.19,.22,.25,.21,2.86-.75,5.47-2.3,8.21-3.41,7.62-3.45,15.48-6.52,23.38-9.55,.45-.09,1.05-.52,1.45-.15,.07,.07,.16,.2,.12,.26-.33,.58-.65,1.17-1.04,1.73-3.2,4.49-6.42,8.97-9.62,13.46-.4,.56-.7,1.16-1.02,1.74,.11,.53,.85,.42,1.25,.27,12.33-4.58,24.64-10.16,37.28-13.73,.62,.26-.M 33,1.3-.58,1.7-2.83,4.16-5.66,8.32-8.48,12.49-.17,.51-1.45,1.65-.7,1.98,12.37-3.76,24.7-8.51,37.25-12.24,1.24-.24,2.55-1.08,3.79-.63-11.29,18.87-15.91,16.75,7.36,10.31,8.97-2.43,18.07-5.34,27.17-7.06,.11,.04,.28,.16,.27,.2-.14,.41-.25,.83-.49,1.21-2.64,4.23-5.51,8.33-7.96,12.67,1.07,.6,2.07-.05,3.16-.21,14.81-3.39,29.8-7.26,44.81-9.4,.72,.23-.11,1.28-.35,1.71-1.93,3.2-3.87,6.4-5.78,9.6-.46,.76-1.09,1.48-1.04,2.39,.79,.37,1.58,.16,2.36,.03,3.55-.62,7.08-1.31,10.65-1.86,12.59-1.85,25.13-3.94,37.81-5.19,.9,0,2.53-.4,1M .93,1.08-2.37,4.22-4.76,8.43-7.15,12.65l.08-.06c-8.06,1.62-16.8,1.91-25.01,3.31-9.84,1.14-19.46,3.23-29.28,4.45l.09,.08c2.17-3.92,4.28-7.88,6.53-11.76,.21-.41,.72-1.07,.52-1.49-.28-.17-.71-.36-1.02-.3-4.05,.73-8.12,1.43-12.14,2.26-11.81,2.46-23.59,5.02-35.21,7.99l.07,.12Z"/><path class="cls-2" d="M340.28,131.65c-3.54,23.39-7.76,46.69-10.31,70.21l.13-.12c-7.12-1.58-13.98-4.43-21.01-6.46-.61-.19-1.74-.64-2.08,.1-2.35,19.96-3.22,40.05-4.55,60.1l.14-.05c-6.97-3.26-13.86-6.7-20.88-9.84-.5-.21-1.06,.08-1.1,.58-.49,16.47-M .85,32.96-.31,49.44,.13,3.28-.82,2.45-3.07,1.21-5.91-3.58-11.72-7.28-17.71-10.73-.23-.13-.72,.03-1.19,.06,.13,12.64,1.06,25.23,1.81,37.84,.16,2.69,.26,5.38,.36,8.07,0,.18-.17,.37-.27,.56-.59,.5-1.73-.62-2.32-.95-5.8-4.17-11.45-8.51-17.18-12.76-.58-.33-1.22-1.05-1.91-1.03-.25,.2-.6,.41-.52,.77,1.12,13.44,2.31,26.87,3.78,40.27-.02,2.7-2.85-.79-3.77-1.31-5.87-4.9-11.73-9.81-17.61-14.71-.51-.37-1.72-1.46-1.98-.33,.58,5.37,1.32,10.72,2.03,16.07,.93,7.07,1.82,14.14,2.81,21.2,.02,.41-.7,.36-.87,.28-7.77-6.8-15.16-14.02-22M .8-20.97-2.46-2.08-.46,4.72-.56,5.73,1.3,9.53,3.15,18.99,4.4,28.52-.37,0-.73,.09-.85-.01-.83-.7-1.66-1.41-2.41-2.16-7.8-7.67-15.25-15.72-23.24-23.18-.15-.1-.57-.06-.59,.17,.24,1.92,.44,3.85,.75,5.77,1.33,8.22,2.77,16.43,4.08,24.66,.07,.47,.64,1.15-.2,1.36-.71,.18-1.05-.56-1.43-.97-6.44-6.91-12.86-13.83-19.29-20.75-2.49-2.68-4.97-5.36-7.48-8.04-.13-.14-.43-.18-.67-.24-.49,0-.35,1.07-.37,1.41,.79,6.33,2.08,12.6,2.94,18.91,1.9,10.74,1.83,10.3-5.12,2.33-8-9.06-16-18.13-24-27.19-.67-.59-1.12-1.73-2.1-1.79-.16,.02-.41,.2M 9-.39,.43,.49,3.97,.99,7.93,1.52,11.89,.45,4.58,1.56,9.28,1.71,13.79-1.17,.02-1.85-1.45-2.65-2.17-11.3-12.87-21.8-26.74-33.48-39.12-1.06-.13-.3,2.83-.38,3.58,.42,6.43,1.46,12.91,1.56,19.32-.61,.63-1.21-.48-1.62-.86-12.59-15.42-25.18-30.85-37.76-46.28-.72-.86-1.56-1.78-1.46-2.93-.13-6.03-.08-12.06-.08-18.1,0-.53,.14-1.06,.25-1.58,.07-.12,.54-.21,.66-.12,12.13,14.03,23.68,28.57,35.68,42.71,.69,.63,1.13,1.77,2.24,1.53-.26-7.3-1.14-14.6-1.6-21.9-.03-.41,.11-.83,.21-1.24,.01-.05,.28-.13,.36-.09,11.01,11.86,21.25,24.65,3M 2.01,36.82,.52,.64,1.02,1.33,1.89,1.53,.3,.08,.48-.22,.41-.73-.34-2.79-.68-5.57-1.03-8.36-.72-5.57-1.45-11.13-1.98-16.72-.02-.17,.15-.37,.28-.53,.05-.05,.32-.07,.37-.03,.62,.56,1.28,1.1,1.83,1.71,4.57,5.07,9.1,10.16,13.68,15.22,4.42,4.89,8.89,9.75,13.34,14.62,.39,.44,1.01,1.29,1.75,1.02,.29-2.87-.72-5.77-.96-8.65-.9-6.2-1.73-12.41-2.55-18.62-.08-.77-.61-2.74,.82-2,8.54,8.71,16.88,17.62,25.4,26.36,.62,.54,1.14,1.4,2.08,1.32,.04,0,.15-.16,.14-.25-.14-1.18-.29-2.35-.45-3.53-1.21-9.61-3.12-19.2-3.83-28.85,1.21-.21,1.88M ,1.01,2.74,1.65,6.96,6.72,13.9,13.46,20.86,20.18,.73,.54,1.38,1.53,2.3,1.68,.29,0,.47-.14,.44-.41-.54-5.05-1.33-10.06-1.99-15.09-.81-6.75-1.58-13.51-2.34-20.27-.02-.15,.23-.4,.41-.45,1-.06,1.62,1.04,2.37,1.55,6.36,5.57,12.72,11.14,19.08,16.71,.77,.52,1.43,1.56,2.47,1.37,.08,0,.2-.14,.19-.22-.04-.97-.05-1.93-.15-2.9-1.16-12.21-2.94-24.49-3.41-36.71,.93-.27,1.59,.53,2.3,.98,6.04,4.61,12.08,9.23,18.12,13.85,1.25,.87,3.03,2.66,2.83-.23-.94-14.28-2.08-28.59-2.43-42.88,1.16-.36,1.94,.46,2.88,.96,4.75,3.02,9.48,6.05,14.22M ,9.07,1.63,.84,3.1,2.36,4.92,2.66,.94-.15,.49-1.65,.59-2.35-.1-15.51-.57-31.02-.23-46.53,.03-2.72,3.03-.23,4.32,.25,5.25,2.63,10.5,5.26,15.76,7.88,.7,.25,1.8,1.05,2.45,.41,.98-17.71,1.59-35.52,2.83-53.25,.28-1.09-.26-3.83,1.47-3.51,6.48,2.13,12.95,4.26,19.43,6.38,1.43,.49,2.88,.94,2.99-1.09,1.69-16.65,3.83-33.25,6.03-49.84,.78-4.9,1.05-9.93,2.49-14.7l-.13,.09c5.91,.99,11.83,1.98,17.74,2.97,2.36,.26,4.73,1.12,7.1,.69l-.1-.1Z"/><path class="cls-2" d="M1254.91,1043.52c1.6-.11,2.33,1.51,3.38,2.42,8.52,9.16,16.93,18.41,M 25.51,27.51,.35,.28,1.03,.21,.98-.38-.55-3.63-1.12-7.27-1.68-10.9-.86-5.66-1.79-11.32-2.6-16.99-.02-.13,.23-.4,.39-.41,1.2,.1,1.96,1.81,2.84,2.56,9.02,10.2,18.03,20.41,27.06,30.61,.75,.64,1.41,2.02,2.52,1.76-3.48-34.04-8.49-32.03,14.6-5.95,5.99,7.02,11.79,14.21,17.88,21.14,.22,.32,.75,.26,.91-.09,.06-.32,.13-.64,.11-.95-.5-6.88-1.14-13.75-1.68-20.63,.03-.33,.22-1.02,.68-.92,.38,.3,.78,.59,1.08,.94,2.38,2.87,4.74,5.76,7.1,8.64,9.86,12.09,19.73,24.17,29.57,36.27,2.29,2.82,2.05,2.02,2.07,5.71,.01,2.26,0,4.52,0,6.79-.0M 1,3.55,.1,7.11-.06,10.66-.49,1.64-2.67-1.77-3.18-2.23-7.07-8.53-14.12-17.06-21.19-25.59-3.8-4.58-7.61-9.14-11.44-13.71-.48-.42-1.18-1.58-1.84-1.53-.42,0-.47,.43-.49,.75,.36,7,1.04,13.98,1.59,20.96,.03,.32-.04,.64-.1,.96-.06,.14-.52,.24-.65,.17-8.12-8.56-15.45-17.92-23.29-26.75-3.43-3.84-6.59-7.95-10.23-11.61-.13-.07-.57,.03-.64,.18,.18,7.15,1.75,14.36,2.41,21.52,.17,1.38,.15,2.78,.2,4.18,0,.06-.14,.15-.24,.19-.11,.04-.33,.09-.37,.05-.54-.47-1.11-.94-1.58-1.46-4.41-4.89-8.8-9.8-13.21-14.69-4.26-4.71-8.56-9.41-12.84-M 14.11-4.63-5.33-2.67-.04-2.35,3.29,1.15,7.8,2.32,15.59,3.07,23.44-.13,.93-1.38-.06-1.69-.44-8.34-8.74-16.72-17.44-25.09-26.15-.32-.33-.73-.61-1.12-.9-.51-.11-.53,.66-.54,1.01,.42,3.21,.87,6.42,1.32,9.63,.85,6.21,1.76,12.41,2.61,18.62,.14,1.07,.17,2.14,.23,3.21,0,.09-.1,.26-.15,.26-1.33,.05-2.1-1.55-3.12-2.26-6.96-6.72-13.9-13.45-20.86-20.17-.67-.57-1.18-1.37-2.21-1.21,.49,6.22,1.63,12.41,2.32,18.62,.71,5.57,1.38,11.14,2.05,16.72,.03,.29-.1,.6-.2,.89-.01,.04-.3,.09-.37,.05-.53-.31-1.09-.61-1.53-.99-5.01-4.37-9.98-8.M 76-14.99-13.12-2.18-1.9-4.41-3.77-6.65-5.63-.12-.1-.5-.04-.75,0-.25,.29-.13,.85-.14,1.24,.9,8.8,2.03,17.58,2.79,26.4,.32,3.54,.62,7.09,.91,10.64-.08,.56,.33,1.65-.53,1.68-.73-.03-1.31-.7-1.91-1.06-6.23-4.76-12.46-9.54-18.69-14.3-.47-.36-.88-.81-1.62-.85-1.24,.09-.11,5.37-.25,6.53,.84,12.47,1.73,24.94,2.05,37.43-.36,1.37-2.43-.44-3.12-.77-5.39-3.4-10.72-6.89-16.12-10.27-.98-.47-1.62-1.48-3.04-1.27-.68,.78-.32,1.65-.31,2.48-.03,15.71,1.01,31.48,.09,47.15-.03,.22-.7,.54-.93,.44-.94-.42-1.88-.83-2.79-1.28-5.99-2.87-11.M 79-6.14-17.89-8.78-.29-.12-.87,.17-.89,.44-.87,18.71-1.35,37.49-3.06,56.14-.05,.27-.61,.52-.94,.42-6.49-2.08-12.95-4.25-19.43-6.36-.85-.13-2.26-.99-2.85-.05-2.31,16.79-3.74,33.69-6.3,50.46-.61,4.39-1.21,8.78-1.83,13.16-.11,.75-.25,1.5-.95,2.08,0,0,.14-.08,.14-.08-7.67-1.61-15.52-2.62-23.25-4.05-1.54-.33-.71-2.1-.72-3.17,3.53-22.15,7.72-44.3,9.64-66.64l-.11,.12c7.14,1.57,14.01,4.43,21.06,6.46,.63,.14,1.66,.67,2.13,.02,2.3-19.99,3.22-40.13,4.45-60.22l-.14,.04c6.59,3.14,13.17,6.29,19.76,9.43,.61,.23,1.5,.89,2.09,.33,1M .33-16.42,.68-33.17,.6-49.7-.11-3.15,.69-2.68,3.01-1.35,3.75,2.28,7.48,4.59,11.22,6.88,2.14,1.31,4.28,2.61,6.46,3.88,.25,.14,.73,.02,1.24,.02-.16-15.42-1.62-30.78-2.21-46.18-.07-.59,.84-.51,1.16-.34,6.12,4.16,11.89,8.74,17.85,13.11,.78,.58,1.65,1.09,2.52,1.6,.09,.05,.57-.14,.6-.26,.11-5.56-.89-11.17-1.23-16.74-.77-7.83-1.66-15.66-2.41-23.5-.21-2.8,1.76-.73,2.85,.08,5.96,4.98,11.91,9.96,17.88,14.94,.78,.51,1.47,1.52,2.51,1.27-.45-7.57-1.94-15.21-2.77-22.8-.52-3.74-1.08-7.48-1.57-11.23-.15-1.17-.14-2.35-.19-3.53,0-.0M 6,.14-.15,.24-.19,.6-.27,1.34,.74,1.83,1.05,6.95,6.44,13.89,12.89,20.84,19.33,.55,.47,1.04,1.11,1.86,.91-.66-8.49-2.56-17.09-3.7-25.61-.46-2.88-.94-5.76-1.39-8.65-.03-.18,.12-.38,.18-.57,1.05,.15,1.67,.89,2.35,1.6,7.28,7.34,14.56,14.68,21.85,22.01,.84,.66,1.43,1.88,2.63,1.78-1.04-10.57-3.4-21.13-4.91-31.69h-.09Z"/><path class="cls-2" d="M1072.54,314.9c-19.6,1.34-38.67,3.19-58.19,5.13-.36,0-.76-.41-.6-.65,.55-.86,1.08-1.73,1.67-2.58,2.63-3.88,5.53-7.6,7.99-11.59,.2-1.25-3.05-.39-3.83-.44-6.36,.9-12.72,1.84-19.08,2.7M 3-9.42,1.32-18.75,2.96-28.07,4.64-.53,.1-1.05,.12-1.53-.13,.04-.79,.66-1.39,1.15-2.02,2.81-3.67,5.64-7.34,8.45-11.01,.39-.72,2.66-2.67,.83-2.8-15.35,2.52-30.58,5.93-45.7,9.48-.51,.13-1.04,.24-1.53-.08,0-.81,.69-1.38,1.18-2,3.35-4.16,6.76-8.3,10.12-12.46,.3-.55,2.09-2.27,.94-2.37-13.6,2.96-27.04,6.58-40.41,10.19-.75,.1-3.98,1.42-3.69,.2,4.68-5.97,9.95-11.46,14.66-17.41-1.21-.59-2.55,.3-3.81,.47-8.43,2.24-16.74,4.75-25.06,7.25-4.16,1.25-8.31,2.5-12.48,3.73-.18,.05-.46-.09-.68-.18,.26-1.16,1.52-2.04,2.24-3.01,4.74-5.5M ,9.8-10.74,14.33-16.4,.26-1.06-3.22,.45-3.79,.5-10.01,3.18-20.07,6.25-29.93,9.71-1.6,.56-3.25,1.02-4.9,1.49-.17,.05-.46-.11-.66-.21,4.96-6.6,11.32-12.6,16.93-18.84,1.59-1.82,3.99-3.87-.38-2.46-10.63,3.37-21.3,6.68-31.73,10.46-2.35,.72-5.09,2.14-1.9-1.33,6.71-7.52,14.17-14.59,20.54-22.33-.56-.31-1.06-.21-1.57-.04-5.21,1.75-10.44,3.48-15.64,5.25-5.57,1.9-11.13,3.84-16.69,5.74-.36,.07-1.16,.29-1.36-.08,2.81-4.11,6.63-7.56,9.95-11.34,4.48-4.71,9.09-9.35,13.64-14.03,.65-.67,1.49-1.25,1.72-2.15-1.52-.29-3.05,.68-4.53,1-8M .2,2.73-16.4,5.47-24.6,8.2-1.23,.27-3.11,1.16-1.48-.88,7.95-9.16,16.4-17.91,24.69-26.79,.8-.86,1.55-1.75,2.31-2.63,.06-.07,.07-.27,.03-.29-.23-.08-.52-.22-.71-.16-8.56,2.56-17.15,5.06-25.64,7.85-.61,.2-1.3,.32-1.69,.81h.04c-.35-.49-.52-1-.07-1.5,3.09-3.38,6.13-6.8,9.31-10.12,7.35-7.68,14.77-15.31,22.16-22.96,.36-.49,1.27-.89,.83-1.58-.78-.27-2.18,.38-3.06,.49-7.15,1.86-14.29,3.73-21.44,5.6-1.24,.25-2.64,.94-3.84,.24l.06,.03c13.14-13.08,26.01-26.48,39.39-39.35,2.97-2.8-1.61-1.14-3.03-1.02-7.06,1.4-14.11,2.81-21.17,4M .21-3.73,.63-1.9-.81-.31-2.5,15.15-15.12,30.65-29.78,46.31-44.44,.34-1.2-1.82-.52-2.49-.62-6.3,.49-12.58,1.12-18.88,1.68-4.14,.35-4.43,.14-1.26-2.82,5.72-5.44,11.43-10.89,17.18-16.32,12.01-11.35,24.3-22.51,36.7-33.59,.94-.82,1.79-1.82,3.18-1.8,7.95-.03,15.9,.02,23.86,.03,1.57,.19,2.03,.37,.55,1.79-19,16.29-38.19,32.32-56.18,49.56-.12,.12-.02,.4,.03,.6,.01,.06,.21,.11,.33,.12,6.68-.19,13.35-1.41,20.02-2.01,1.47-.17,2.93-.39,4.4-.52,.59-.05,1.4-.37,1.74,.3,.24,.46-.34,.77-.69,1.08-15.87,13.72-31.07,27.96-46.21,42.4-2M .78,2.74,4.16,.44,5.15,.42,7.2-1.36,14.41-2.72,21.62-4.07,2.1-.05-.68,1.87-1.17,2.44-12.68,11.35-24.88,23.19-37.04,35.06-.49,.48-1.15,.9-1.14,1.62,.67,.26,1.3,.08,1.95-.08,5.4-1.35,10.79-2.69,16.19-4.03,3.47-.86,6.95-1.72,10.42-2.57,.62-.14,1.29-.32,1.87,.03-10.89,11.54-23.73,21.86-34.68,33.57-.91,1.72,2.55,0,3.22-.02,10.01-2.62,20.03-6.22,30.05-8.32,.08,.16,.2,.41,.11,.51-.72,.78-1.47,1.54-2.24,2.29-9.15,9.06-18.63,17.81-27.6,27.04-.1,.12-.02,.35,.03,.52,.02,.05,.25,.11,.35,.09,10.62-3.07,21.16-6.4,31.75-9.56,.98-M .13,2.4-1.06,3.26-.42,0,.59-.93,1.1-1.28,1.59-7.58,7.57-15.16,15.14-22.73,22.71-.37,.53-2.02,1.89-.93,2.02,6.76-1.65,13.3-4.11,19.98-6.04,5.15-1.58,10.34-3.1,15.51-4.63,.34-.1,.77-.05,1.15-.01,.72,.16-.74,1.47-1.08,1.83-6.82,7.18-14.25,13.99-20.53,21.57,.67,.39,1.23,.21,1.9,0,3.51-1.1,7.03-2.17,10.52-3.31,7.73-2.52,15.58-4.79,23.46-6.99,.89-.25,1.75-.58,2.73-.4l.1,.08c-.37,1.67-2.16,2.67-3.19,4-5.05,5.7-10.94,10.85-15.51,16.88-.01,.03,.23,.2,.3,.18,1.02-.23,2.06-.45,3.06-.74,12.39-3.61,24.86-7.15,37.42-10.29,.63-.0M 9,.95,.22,.55,.74-5.24,6.26-11.4,11.93-16.21,18.47-.02,.03,.2,.21,.28,.2,.64-.1,1.3-.2,1.92-.37,11.85-3.24,23.89-6.02,35.85-8.96,4.83-1.09,6.24-1.26,6.15-.93-.41,1.65-2.03,2.74-3.14,4.06-3.5,4.22-7.35,8.21-10.76,12.51-.81,1.45,1.45,.96,2.21,.75,14.16-3.16,28.37-6.08,42.66-8.7,.73-.07,1.59-.39,2.22,.13,.08,.05,.11,.23,.06,.3-.4,.56-.81,1.12-1.25,1.66-2.93,3.62-5.88,7.22-8.81,10.84-.77,1.19-2.2,2.17-2.27,3.61,10.78-1.17,21.58-3.68,32.44-5,6.23-.83,12.45-1.94,18.72-2.5,.38-.02,.79,.39,.62,.63-3.36,4.81-6.93,9.48-10.37M ,14.24-.29,.3-.52,.86-.09,1.13,2.94,.25,5.87-.42,8.79-.69,16.27-1.9,32.63-3.37,48.99-4.3l-.08-.12c-3.55,5.37-6.81,10.99-10.53,16.23l.1-.05Z"/><path class="cls-2" d="M1003.01,335.58c-7.9,1.23-15.88,2.1-23.78,3.26-8.96,1.36-17.93,2.67-26.81,4.34-1.02,.11-2.12,.52-3.11,.09-.11-.69,.39-1.22,.76-1.79,2.36-3.61,4.72-7.22,7.09-10.83,.31-.48,.65-.94,.48-1.51,.05-.04,.11-.08,.16-.12-.25-.02-.27,.03-.05,.17-.93-.37-1.86-.1-2.76,.07-2.49,.46-4.96,1-7.45,1.48-12.69,2.13-25.23,6.02-37.76,7.96-.09-.17-.22-.4-.14-.53,.46-.78,.94-M 1.55,1.48-2.29,2.47-3.46,4.96-6.91,7.43-10.38,.27-.53,1.34-1.71,.35-1.89-1.94,.43-3.91,.82-5.82,1.33-7.16,1.88-14.33,3.76-21.46,5.72-5.49,1.45-10.82,3.36-16.34,4.68-.17,.02-.5-.2-.44-.39,3.16-5.42,7.67-10.04,10.84-15.45,.05-.17-.29-.43-.45-.4-.9,.23-1.79,.47-2.67,.72-12.18,3.47-24.04,7.6-36.01,11.49-.69,.25-1.54,.63-2.24,.38-.39-.19-.14-.56,.05-.82,3.88-5.44,8.1-10.65,12.04-16.05-1.02-.71-2.29,.23-3.38,.45-10.87,3.77-21.74,7.55-32.4,11.69-1.91,.56-4.98,2.24-2.4-1.14,4.24-5.5,8.56-10.94,12.76-16.48,.18-.24,.14-.42-.M 13-.52-8.97,2.61-17.75,6.74-26.64,9.89-2.67,1.03-5.28,2.14-7.93,3.21-.52,.21-1.04,.12-1.49-.17l-.1,.08c4.81-6.28,9.19-12.84,14.29-19.01,.36-.45,.8-.87,.61-1.46l.22-.1-.13,.18c-2.56,.01-4.88,1.76-7.32,2.49-7.6,2.84-14.88,6.74-22.39,9.41-.09-.18-.27-.44-.18-.57,2.31-3.28,4.6-6.57,6.99-9.81,2.8-3.8,5.68-7.56,8.52-11.34,.27-.36,.45-.77,.65-1.16,.03-.07-.06-.2-.14-.26-.07-.06-.24-.12-.31-.1-.98,.35-1.97,.69-2.91,1.09-8.19,3.48-16.35,7.04-24.56,10.49-.35,.19-.85-.02-.73-.4,5.81-8.32,12.34-16.14,18.45-24.25,1.59-2.23,.44-M 1.63-1.34-1.1-7.22,2.89-14.44,5.77-21.49,8.92-1.8,.67-6.28,3.37-3.18-.67,7.1-9.14,14.34-18.18,21.37-27.36,.06-.07,.06-.26,0-.28-1.08-.51-2.2,.48-3.26,.73-8.01,2.95-15.81,6.75-23.92,9.26l.07,.09c-.36-1.18,.84-1.92,1.41-2.83,7.48-9.53,15.02-19.03,23.02-28.29,.73-1.08,2.21-1.92,2.07-3.32,.22,.04,.47,.08,.41-.21-.27-.11-.38-.01-.33,.28-.69-.19-1.32,0-1.94,.21-5.76,2.05-11.55,4.06-17.28,6.2-6.89,2.49-7.87,2.72-7.72,2.29,9.18-12.92,20.39-24.68,30.78-36.89,1.77-1.97,3.61-3.75-.67-2.54-6,1.55-12.01,3.11-18.01,4.66-.76,.2-1M .53,.43-2.33,.09l.11,.05c-.06-.59,.37-1.01,.75-1.45,12.31-14.91,25.71-28.93,38.29-43.62,.27-.38-.4-.53-.63-.52-7.62,1.35-15.22,2.76-22.83,4.14-.12,.02-.33-.02-.37-.08-.4-.52,.14-.94,.45-1.35,11.46-13.07,23.07-26,35.2-38.66,3.28-3.42,6.52-6.86,9.76-10.31,.33-.51,1.56-1.38,.69-1.83-7.88,.17-15.77,1.45-23.65,1.98-1.53-.36,.28-1.69,.71-2.29,17.14-19.2,35.38-37.84,53.65-56.27,.71-.74,1.53-1.15,2.72-1.15,7.54-.2,15.09-.14,22.64-.13,2.29,.24,3.97-.28,1.25,2.28-14.76,13.92-29.16,28.21-43.53,42.5-3.55,3.52-6.95,7.14-10.41,1M 0.72-.48,.62-1.54,1.35-.25,1.72,7.36-.41,14.72-1.37,22.07-1.99,3.09-.21,1.75,.84,.36,2.35-6.14,6.14-12.39,12.22-18.43,18.42-8.94,9.18-17.74,18.44-26.59,27.67-.36,.41-.92,.8-.57,1.37,7.42-.52,15.01-2.51,22.45-3.65,.51-.09,1.02-.18,1.49,.1,.01,.72-.63,1.16-1.11,1.66-4.7,4.86-9.44,9.69-14.09,14.57-8.66,8.93-16.9,18.18-25.39,27.17,.1,.03,.19,.06,.27,.08l-.29-.13c1.85,.87,3.87-.52,5.73-.84,6.72-1.89,13.45-3.78,20.18-5.66,.5-.07,1.99-.6,1.99,.15-10.35,11.92-21.63,23.27-31.74,35.38-.45,.52-1.08,.98-1.09,1.68,0,.07,.18,.22M ,.24,.21,8.82-2.32,17.37-5.76,26.16-8.31,.52-.17,1-.29,1.62,.07-8.66,10.16-17.76,19.96-26.28,30.16-.53,.62-.94,1.29-1.4,1.95-.04,.17,.32,.39,.47,.35,8.21-2.56,16.19-5.82,24.31-8.65,1.3-.32,2.81-1.43,4.11-.62l.09-.09c-3.59,3.53-6.7,7.5-9.97,11.3-4.41,5.26-8.79,10.54-13.18,15.82-.18,.31-.69,.81-.35,1.11,.08,.07,.25,.15,.33,.13,.99-.32,2-.62,2.96-1,7.84-3.07,15.64-6.2,23.62-9.02,2.6-.93,2.23-.19,.81,1.58-6.11,7.3-12.26,14.59-18.1,22.1-.3,.38-.44,.77-.15,1.19-.19-.16-.28-.15-.29,.03l.23-.11c9.71-3.14,19.11-7.48,28.9-10M .71,.98-.35,1.98-.67,2.98-.96,.17-.05,.46,.12,.66,.22,.05,.03,.02,.23-.05,.3-.75,.89-1.51,1.78-2.28,2.66-5,5.74-10.01,11.48-15.01,17.23-.54,.62-1.04,1.25-1.51,1.91-.09,.13,.06,.38,.15,.56,.45,.16,1.01-.19,1.47-.3,7.09-2.61,14.2-5.19,21.28-7.83,4.64-1.73,9.33-3.34,14.11-4.81,.19-.06,.48,.09,.71,.18,.04,.01,.01,.2-.04,.29-3.6,4.73-7.85,9-11.64,13.58-1.68,1.95-3.27,3.95-4.89,5.93-.31,1.45,3.28-.48,3.98-.54,7.42-2.56,14.82-5.14,22.25-7.67,4.09-1.39,8.22-2.69,12.34-4.01,.2-.06,.56-.04,.7,.07,.14,.11,.19,.42,.09,.56-.46,M .65-.98,1.29-1.49,1.92-3.62,4.41-7.25,8.82-10.87,13.23-.59,.72-1.18,1.44-1.71,2.19-.09,.12,.05,.37,.14,.54,12.47-3.2,25.02-7.91,37.64-11.35,1.24-.21,2.55-1.11,3.78-.64-3.51,5.85-8.83,10.95-12.61,16.77,1.38,.49,2.58-.42,3.93-.64,12.97-3.58,25.93-7.21,39.12-10.27,.72-.17,1.23-.35,1.93,.13-3.44,4.77-7.12,9.37-10.65,14.07-.29,.47-1,1.33-.18,1.6,13.6-2.78,27.19-6.15,40.93-8.71,2.09-.19,4.65-1.41,6.65-.77,.08,.7-.44,1.21-.84,1.77-2.96,4.23-6.2,8.28-8.95,12.64-.06,.21,.27,.72,.59,.67,2.64-.42,5.28-.84,7.92-1.27,14.51-2.38M ,29.05-4.83,43.67-6.4,.34,0,.72,.44,.57,.69-3.01,4.83-6.13,9.59-9.24,14.35l.1-.06Z"/><path class="cls-2" d="M769.29,1313.64c-7.19,.82-14.39,1.65-21.58,2.46-.92,0-4.06,.69-3.89-.43,13.39-20.82,27.37-41.42,39.73-62.83,.14-.26-.22-.77-.53-.72-6.96,1.13-13.79,2.92-20.7,4.32-2.35,.51-2.08-.19-.98-1.9,11.01-17.46,21.88-34.91,31.66-53.04,.24-.36-.22-.66-.55-.63-6.44,1.84-12.77,4.02-19.18,5.98-.47,.15-1.03,.13-1.55,.16-.08,0-.27-.16-.26-.21,.12-.41,.2-.85,.42-1.23,9.01-15.22,18.01-30.53,26.07-46.22,.37-1.72-3.55,.61-4.21,.M 71-4.56,1.86-9.11,3.73-13.67,5.59-.89,.26-1.73,.87-2.59,.21,7.28-12.94,14.34-26,20.91-39.19,.4-.79,.94-1.53,.68-2.44,.18,.02,.4,.04,.35-.18-.23-.08-.33,.01-.27,.25-.73-.2-1.28,.14-1.85,.41-5.68,2.52-11.15,5.99-16.99,7.94-.32-.1-.38-.28-.26-.53,2.69-5.16,5.43-10.31,8.05-15.5,3.07-6.08,6.04-12.2,9.05-18.31,.29-.6,.5-1.22,.73-1.84,.03-.08-.03-.24-.11-.27-.21-.09-.54-.24-.67-.17-1.02,.51-2.02,1.06-3.01,1.62-4.42,2.46-8.83,4.94-13.25,7.39-1.05,.41-1.64,.53-1.12-.89,4.89-9.55,9.24-19.29,13.65-28.99,.19-.58,.75-1.26,.11-1M .74-.05-.05-.3-.05-.38,0-4.94,2.97-9.82,6.03-14.74,9.03-3.3,2.05-2.49,.35-1.31-1.99,3.78-7.48,7.1-15.1,10.39-22.73,.26-.61,.43-1.24,.62-1.87,.03-.09-.04-.25-.12-.28-.21-.07-.54-.19-.66-.11-5.29,3.3-10.41,6.82-15.61,10.24-2.45,1.16-.65-1.21-.33-2.35,3.07-7.32,6.91-14.46,8.94-22.06-1.29,.21-1.91,.97-2.7,1.52-5.97,4.19-11.92,8.4-17.88,12.6-.6,.31-1.27,1.02-1.98,.94-.11-.05-.25-.19-.23-.25,.29-.83,.59-1.65,.92-2.46,2.39-6.16,5.19-12.19,7.37-18.43-.1-.9-1.69,.49-2.09,.66-6.6,4.6-13.19,9.2-19.79,13.8-.38,.28-1.11,.94-1.6M 3,.42-.21-.67,.42-1.46,.61-2.14,2.18-4.86,3.94-9.83,5.77-14.78,.29-.6,.4-1.21,0-1.78-1.13,.05-2.23,1.23-3.21,1.78-6.55,4.47-12.84,9.3-19.61,13.44-.3,.14-.87-.15-.66-.52,1.92-5.38,4.52-10.56,6.09-16.04,0-.52-.94-.3-1.19-.09-7.82,5.11-15.95,9.82-23.59,15.17l.1-.06c-1.13-1.12,.3-2.7,.61-3.94,1.46-3.23,2.44-6.57,3.62-9.86,.14-.58,.49-1.35-.18-1.71-.07-.05-.3-.04-.39,0-1.18,.71-2.37,1.4-3.51,2.14-6.13,3.99-12.4,7.84-18.94,11.4-.99,.49-2.03,1.43-3.19,.87h.09c1.63-4.43,3.27-8.86,4.89-13.3,.03-.08-.08-.21-.17-.28-.53-.2-1.M 26,.3-1.74,.49-7.4,4.32-15.18,8.18-22.81,12.22-.89,.47-1.86,.83-2.81,1.22-.19,.06-.53-.17-.52-.36,.99-3.7,2.56-7.23,3.78-10.86,.18-.48,.39-1.35,.11-1.55-.22-.06-.5-.13-.69-.07-1.68,.65-3.26,1.51-4.88,2.28-8.71,4.19-17.76,8.33-27,11.53-.19,0-.6-.23-.58-.31,.16-.73,.34-1.47,.61-2.18,1.1-2.88,2.24-5.75,3.34-8.63,.09-.35,.22-.99-.2-1.16-12.44,4.28-24.73,9.74-37.49,13.42-.11,.03-.55-.26-.52-.35,1.02-3.36,2.57-6.56,3.8-9.85,.21-.74,.79-1.77-.5-1.76-12.94,4.02-25.86,7.96-39,11.44-.53,.13-1.46,.29-1.72-.28,.75-3.4,2.51-6.5M 8,3.63-9.88,.18-.45,.35-1.24-.25-1.4-7.07,1.15-13.98,3.14-20.99,4.61-7.78,1.72-15.66,3.17-23.53,4.54-.83,.13-1.34-.29-1.12-.91,1.18-3.3,2.45-6.59,3.54-9.92,.4-1.01-1.24-.95-1.98-.8-15.25,2.2-30.49,4.44-45.86,5.66-1.17,.11-2.39,.4-3.56-.12,.57-3.63,2.4-7.05,3.43-10.59,.15-.43,.09-.85-.3-1.2,0,0-.09,.06-.09,.06,17.08-1.97,33.93-3.11,51.13-5.96,1.53-.16,1.13,1.35,.84,2.25-.87,2.92-1.88,5.82-2.68,8.76,.69,.7,1.73,.3,2.6,.25,14.1-2.39,27.95-5.4,41.8-8.7,1.49-.13,.96,1.08,.7,1.93-.81,2.93-2.11,5.77-2.51,8.79-.02,.15,.26,M .33,.47,.56,13.35-3.24,26.38-7.41,39.43-11.42,.49-.14,1.13,.3,1.03,.69-.92,3.37-2.29,6.62-3.15,10.01-.3,1.45,3.01-.22,3.63-.31,10.17-3.7,20.45-7.21,30.31-11.44,.82-.35,1.72-.59,2.58-.88,.3-.1,.82,.26,.77,.54-.77,3.51-2.04,6.9-2.98,10.37-.05,.17,.14,.4,.27,.58,10-3.11,19.56-8.24,28.88-12.77,1.37-.61,3.61-2.26,2.72,.6-.85,3.36-2.25,6.64-2.77,10.07,.16,.87,1.84-.3,2.32-.43,7.54-3.97,15.1-7.91,22.27-12.31,1.62-.8,3.18-2.21,2.49,.8-.9,3.15-1.84,6.29-2.76,9.43-.05,.38-.29,.96,.03,1.24,.22,.07,.56,.18,.69,.11,7.28-3.96,14M .12-8.58,21.05-13.09,4.99-3.53,3.52-1.04,2.47,2.92-.07,1.18-4.17,9.9-2.1,9.27,5.03-3.01,9.88-6.35,14.79-9.53,2.38-1.58,4.66-3.27,6.99-4.89,.52-.26,1.09-.81,1.7-.73,.38,.37,0,1.07-.05,1.54-1.17,3.76-2.38,7.51-3.54,11.27-.22,.72-.33,1.46-.47,2.2-.01,.07,.11,.19,.21,.22,.93,0,1.77-.98,2.58-1.41,6.51-4.67,12.87-9.55,19.46-14.1,.78-.23,.89,.88,.64,1.42-1.14,3.65-2.1,7.34-3.54,10.94-.57,1.43-1,2.9-1.47,4.36,.38,.81,1.37-.19,1.87-.44,7.01-4.73,13.43-9.97,20.14-14.94,.09-.06,.32-.1,.38-.06,.16,.12,.39,.31,.35,.43-.57,1.88-M 1.16,3.76-1.78,5.63-1.36,4.05-2.74,8.1-4.13,12.15-.14,.41-.27,.82,0,1.22,.72-.07,1.2-.45,1.69-.82,6.66-4.81,12.89-10.19,19.61-14.89,1.3-.41-.16,2.45-.21,3.08-1.89,6.28-4.4,12.42-6.62,18.63-.07,.42,.58,.35,.78,.27,4.38-2.77,8.36-6.1,12.58-9.09,1.15-.65,2.07-2.03,3.45-2.01l-.13-.05c.16,.77-.12,1.49-.39,2.21-2.65,7.12-4.99,14.31-7.9,21.36-.17,.58-.76,1.24-.12,1.72,.04,.04,.28,0,.37-.07,5.23-3.32,10.04-7.24,15.25-10.58,.21-.08,.86-.15,.83,.27-2.94,9.09-6.79,17.9-10.51,26.77-.2,.59-.77,1.22-.22,1.76,.02,.03,.28-.01,.37-M .07,5.04-3.02,9.96-6.2,14.82-9.48,.51-.34,1-.74,1.75-.71,.35,.52,.1,1.02-.12,1.54-1.64,3.87-3.26,7.75-4.91,11.62-2.65,6.21-5.31,12.42-7.97,18.63-.17,.4-.42,.8-.07,1.23,.99-.06,1.66-.62,2.39-1.04,4.25-2.47,8.48-4.96,12.72-7.44,.86-.37,1.68-1.28,2.67-1.04-3.85,11.68-10.05,23.18-15.25,34.62-.43,1.17-1.48,2.1-.96,3.43,5.79-2.65,11.2-5.65,16.89-8.46,.44-.22,.98-.31,1.49-.44,.05-.01,.25,.15,.24,.21-5.56,14.13-12.74,27.64-19.58,41.3-.3,.58-.45,1.2-.64,1.81-.02,.05,.2,.22,.27,.21,6.42-1.93,12.41-5.21,18.73-7.51,2.27-.56-.1M 3,2.69-.37,3.58-7.27,15.57-15.84,30.64-23.66,45.96,.28,.77,1.4,.21,1.98,.09,5.38-1.71,10.75-3.44,16.13-5.15,1.06-.18,2.44-1.11,3.37-.35-9.22,19.5-20.84,38.08-30.9,57.1,.21,.11,.49,.26,.69,.22,7.17-1.46,14.31-3.02,21.46-4.54,.84-.04,.81,.65,.58,1.2-12.18,22.2-25.24,44.04-38.6,65.77l.11-.06Z"/><path class="cls-2" d="M821.03,1307.82c-7.61,.76-15.19,1.68-22.79,2.54-1.89-.04-3.23,.66-1.79-1.94,12.15-21.37,24.12-42.88,35.05-64.88,.26-.65,1.23-1.36,.35-2.02-.65-.49-1.52,.04-2.27,.2-6.37,1.36-12.7,2.86-19.08,4.15-.58,.15-1M .47-.02-1.1-.79,4.67-9.17,9.61-18.24,14.22-27.43,5.08-10.3,10.51-20.47,14.85-31.02-.4-.64-1.49-.15-2.08-.03-5.37,1.73-10.72,3.48-16.09,5.2-1.74,.41-4.12,1.73-2.48-1.27,8.16-16.28,15.98-32.59,22.93-49.3,.06-.15-.14-.38-.26-.54-.04-.05-.27-.06-.37-.02-5.67,2.16-11.18,4.72-16.8,7.03-1.05,.37-2.99,1.42-2.15-.66,6.53-14.22,13.03-28.42,18.51-43.01,.01-.19-.08-.48-.25-.56-.18-.08-.54-.03-.74,.07-5.82,2.81-11.37,6.2-17.29,8.78-.42-.5-.27-.92-.1-1.33,1.66-3.86,3.37-7.72,4.99-11.59,3.41-8.16,6.69-16.36,9.63-24.64,.08-.45,.52M -1.2,.16-1.54-1-.28-1.78,.71-2.64,1.09-4.18,2.54-8.36,5.08-12.54,7.62-.63,.31-1.26,.95-2.01,.6-.08-.03-.16-.2-.14-.28,.3-.94,.6-1.87,.95-2.8,2.45-6.38,4.94-12.74,7.35-19.13,1.21-3.19,2.29-6.41,3.42-9.62,.25-.83,.56-1.79-.24-2.44,0,0,.11,.12,.11,.12l.02-.18c-4.4,3.71-9.54,6.62-14.22,10.03-.5,.24-1.1,.86-1.68,.65-.1-.06-.23-.19-.21-.26,.2-.73,.4-1.47,.66-2.19,2.97-8.95,7.1-17.98,9.01-27.06-.33-.06-.74-.12-1.02,.12-4.74,3.81-10.09,7.08-14.49,11.21l.05-.02c-.99-.85-.31-2.05-.06-3.07,2.11-6.45,4.25-12.89,6.35-19.34,.4-1M .24,.67-2.51,.98-3.76,0-.25-.39-.34-.57-.21-5.04,3.46-9.49,7.67-14.45,11.23-.21,.09-.87,.18-.84-.25,1.76-7.08,4.11-14.02,6.1-21.04,.12-.41,.28-.81-.04-1.2-.92,.03-1.38,.61-1.93,1.07-3.63,3.03-7.24,6.08-10.87,9.11-.68,.43-1.67,1.58-2.44,1.56-.7-.34-.3-1.11-.18-1.69,1.8-5.3,3.04-10.69,4.41-16.07,.08-.59,.41-1.36-.27-1.7-.7-.06-1.25,.8-1.83,1.13-5.43,4.49-10.85,8.98-16.28,13.46-.83,.73-2.87,2.32-2.29-.05,1.23-5.38,3.25-10.65,3.89-16.13,0,0-.07,0-.07,0l.2,.02c-1.21-.14-2.11,1.22-3.08,1.82-4.22,3.48-8.41,6.99-12.66,10.4M 5-.56,.35-5.55,4.93-5.93,3.64,1.15-4.96,2.84-9.85,3.62-14.87-.48-.85-1.2-.13-1.77,.25-5.86,4.63-11.81,9.15-17.74,13.7-.7,.4-1.75,1.48-2.55,1.46-.15-.12-.37-.31-.34-.44,.95-4.35,1.94-8.69,2.89-13.03-.43-1.45-2.76,1.1-3.45,1.49-5.71,4.59-11.97,8.68-18.14,12.87-.49,.26-1.49,1.18-1.94,.47,.46-3.77,1.66-7.4,2.51-11.09,.1-.41-.01-.85-.05-1.27-.79-.26-1.48,.36-2.04,.73-4.14,2.76-8.25,5.55-12.42,8.28-2.92,1.91-5.9,3.75-8.88,5.61-.29,.18-.73,.22-1.1,.29-.07,.01-.25-.1-.25-.15-.02-.42-.09-.86,0-1.27,.65-2.75,1.34-5.49,1.99-8M .24,.76-3.4-1.18-1.77-2.94-.83-6.5,3.85-12.95,7.74-19.72,11.28-1.09,.42-2.29,1.55-3.47,1.45-.22-.22-.43-.54-.4-.8,.37-2.68,1.07-5.32,1.6-7.97,.85-3.54-1.71-1.67-3.44-.82-6.55,3.41-13.17,6.72-20.07,9.67-1.9,.81-3.81,1.6-5.75,2.36-.74,.28-1.56,0-1.35-.9,.68-2.96,1.51-5.9,2.12-8.88,.14-.93-.75-1.04-1.45-.74-4.1,1.62-8.2,3.27-12.28,4.91-6.86,2.76-13.93,5.15-20.93,7.66-.53,.18-1.4,.42-1.72-.1-.18-1.82,3.1-10.04,1.31-10.18-4.12,.77-8.06,2.41-12.09,3.55-8.26,2.63-16.67,4.91-25.13,7.1-.71,.29-2.3,.46-2.07-.54,.75-2.95,1.39M -5.92,2.01-8.89,.19-.91-.29-1.28-1.28-1.03-13.78,3.44-27.84,6.12-41.89,8.41-.71,.19-1.71,.16-1.97-.6-.11-.53-.19-1.06-.31-1.59-.45-2.12-.92-4.24-1.38-6.36-.22-1.36-.97-2.92,1.21-3.15,14.34-1.88,28.37-5.18,42.5-7.77,1.77,2.62,1.98,5.78,2.97,8.7,.14,.79,.48,1.72,1.51,1.59,13.39-2.7,26.14-7.65,39.21-10.97,0,0-.13-.09-.12-.09-.98,3.09-1.17,6.37-1.73,9.55-.04,.29,.15,.6,.23,.89,11.75-2.99,23.1-8.5,34.44-12.66,.31-.11,.84,.22,.81,.51-.3,3.11-.87,6.19-1.32,9.29-.05,.31,.44,.62,.77,.51,8.99-3.61,17.83-7.93,26.3-12.57,.74-.M 33,2.48-1.64,2.79-.24-.08,2.37-.54,4.71-.77,7.07-.01,.76-.46,1.88,.02,2.48,1.33,.15,2.35-.84,3.48-1.36,6.62-3.52,12.92-7.38,19.23-11.23,.97-.45,1.91-1.51,3.03-1.39,.18,.06,.4,.32,.38,.47-.46,3.2-1.02,6.4-1.4,9.61,.06,1.91,2.72-.42,3.46-.8,6.17-4.16,12.51-8.17,18.46-12.54,.61-.31,1.29-1.02,2.02-.88,.38,.21,.21,.81,.22,1.17-.49,3.3-1.31,6.58-1.43,9.92,.52,1.12,1.71-.19,2.39-.53,4.68-3.25,9.28-6.55,13.59-10.11,1.78-1.47,3.6-2.9,5.43-4.33,.16-.13,.51-.19,.73-.15,.56,.19,.46,.92,.38,1.39-.52,2.76-.55,5.58-1.3,8.32-.14,1M .12-.76,2.54,.27,3.41l-.15-.08,.05,.13c6.3-5.67,13.25-10.7,19.78-16.14,.39-.31,.78-.56,1.51-.35-.4,4.05-1.46,8.06-2.1,12.09-.09,.52-.03,1.07-.01,1.6,0,.05,.17,.12,.27,.14,.12,.03,.32,.07,.38,.02,.69-.51,1.4-1.01,2.03-1.56,4.9-4.29,9.79-8.6,14.68-12.9,.72-.64,1.47-1.25,2.22-1.87,.28-.2,.73,.23,.75,.44-.72,5.02-1.62,10.02-2.4,15.03,1.04,.39,1.99-.9,2.8-1.44,4.9-4.29,9.86-8.55,14.48-13.04,.6-.58,1.27-1.11,1.93-1.64,.13-.09,.58,0,.63,.16-.22,5.61-1.68,11.09-2.92,16.58-.19,1.93,1.77-.06,2.37-.52,4.07-3.56,7.81-7.5,12.09M -10.82,.15-.09,.57,0,.58,.23-.69,6.63-3.23,13.12-3.78,19.72,1.09,.11,1.72-.85,2.51-1.42,3.42-3.04,6.83-6.1,10.24-9.14,.65-.45,1.2-1.37,2.1-1.14-.08,3.59-1.62,7.43-2.4,11.07-.88,3.37-1.81,6.73-2.7,10.1-.06,.48-.38,1.54-.04,1.87,.92,.19,1.54-.66,2.21-1.12,3.4-2.91,6.78-5.84,10.18-8.75,.55-.47,1.15-.89,1.75-1.32,.07-.05,.28,0,.39,.04,.09,.04,.2,.17,.19,.24-.18,1.06-.36,2.12-.58,3.18-1.4,7.67-4.33,15.08-6,22.7,.31,.88,2.2-1,2.71-1.23,3.98-3.06,7.93-6.14,11.92-9.19,.13-.1,.48-.05,.72-.02,.08,0,.18,.18,.17,.28-.35,1.92-.M 95,3.8-1.42,5.69-1.94,7.26-4.16,14.47-6.55,21.64-.25,1.02-.85,2.12-.23,3.1-.05-.31-.16-.38-.31-.23l.3,.18c4.93-3.51,9.83-7.05,14.8-10.5,.18-.12,.49-.14,.75-.17,.65,.18,.2,1.25,.07,1.75-3.08,11.03-7.03,21.88-10.74,32.77-.05,.15,.15,.36,.28,.52,.03,.04,.28,0,.38-.05,.99-.55,2-1.08,2.96-1.67,4.31-2.57,8.47-5.38,12.85-7.83,.22-.08,.88-.07,.85,.32-3.74,12.6-8.34,24.93-13.02,37.28-.14,.73-1,1.84-.18,2.33,5.34-2.08,10.39-5.41,15.61-7.94,.65-.26,1.8-1.2,2.19-.2-.43,1.46-.85,2.94-1.39,4.38-4.99,13.76-10.64,27.33-15.84,40.98M ,.49,.76,1.71-.14,2.37-.28,5.65-2.2,11.04-5.14,16.8-6.95,.42,.37,.32,.81,.17,1.21-6.26,16.64-13.3,32.96-20.63,49.26-.21,.7-1.78,3.11-.37,3.02,5.94-1.66,11.73-3.78,17.61-5.62,.74-.24,1.51-.44,2.29-.6,.14-.03,.55,.24,.53,.33-8.13,20.71-18.02,40.73-27.57,60.88,.57,.4,1.09,.4,1.63,.28,3.24-.71,6.49-1.42,9.73-2.14,3.24-.72,6.48-1.45,9.72-2.16,.63-.14,1.31-.25,1.93,.36-10.76,24.16-22.84,47.9-35.32,71.33l.09-.07Z"/><path class="cls-2" d="M376.88,530.85c.56-.16,1.04-.01,1.51,.21,4.55,1.9,8.89,4.8,13.7,5.88,.39-.7,.2-1.34,.M 08-1.97-.92-4.78-1.9-9.56-2.78-14.35-1.1-7.44-2.95-14.9-3.32-22.39,.02-.11,.43-.3,.59-.26,4.19,1.34,8.14,3.32,12.24,4.9,.71,.17,1.84,.99,2.41,.26-.03-4.81-1.07-9.64-1.45-14.45-.95-8.89-1.83-17.8-2.27-26.73-.02-.42,.12-.84,.23-1.25,.01-.06,.25-.14,.35-.11,5.13,1.3,9.86,4.34,15.18,4.98l-.09-.08c.77,8.78,.97,17.64,1.92,26.42,.46,4.72,.97,9.43,1.48,14.15,.1,.96,.11,1.94,.66,2.84l.16-.13c-3.92,.15-7.86-2.3-11.67-3.25-.99-.34-1.97-.69-2.96-1.03-.29-.1-.84,.24-.83,.5,.75,8.47,2.28,16.88,3.78,25.28,.75,3.71,1.33,7.45,1.96,M 11.18,.24,1.53-.35,1.87-1.77,1.33-2.92-1.09-5.83-2.2-8.75-3.31-.92-.15-3.78-2.06-4.15-.87,.86,7.18,3.12,14.17,4.61,21.26,.95,4.64,2.68,9.19,3.27,13.87-1,.17-1.67-.22-2.36-.5-3.35-1.37-6.68-2.78-10.02-4.17-.96-.29-1.91-1.06-2.93-.7,0,0,.15-.17,.15-.17-.31,.91,0,1.8,.26,2.68,2.75,10.09,6.04,20.06,9,30.12-.46,.62-1.51,.05-2.09-.14-4.35-1.93-8.67-3.92-13.01-5.86-.17-.07-.48,.05-.7,.13-.1,.03-.2,.19-.18,.27,.21,.84,.41,1.69,.67,2.52,2.66,8.34,5.76,16.58,8.79,24.83,2.12,4.92,.69,3.72-2.98,2.03-3.78-1.87-7.54-3.75-11.32-5M .62-.53-.16-1.21-.68-1.76-.44-.09,.07-.2,.19-.18,.27,.29,.94,.56,1.88,.92,2.8,3.22,8.1,6.46,16.19,9.68,24.28,1.22,3.02,.17,2.37-2.08,1.36-3.82-2.02-7.63-4.04-11.42-6.09-3.74-2.02-4.3-2.25-4.35-1.89-.19,1.33,.67,2.46,1.16,3.67,2.84,7.07,6.06,14.03,9.39,20.96,.14,.29,.32,.59,.08,.9-.34,.42-1-.02-1.39-.1-6.1-3.07-12.42-5.87-18.09-9.65-.01,.25-.07,.28-.18,.09l.28-.03c-1.16,1.03,.25,2.48,.6,3.62,2.8,5.71,5.62,11.42,8.44,17.12,2.05,3.75-.24,2.24-2.42,1.11-5.53-2.88-10.9-5.96-16.2-9.1-.54-.19-2.75-1.83-2.89-.91,2.58,6.49,M 6.28,12.57,9.26,18.9,.4,.79,.72,1.61,1.06,2.42,.03,.08-.07,.2-.15,.28-.06,.06-.22,.13-.27,.11-.81-.38-1.64-.73-2.41-1.16-7.55-4.02-14.6-9.16-21.99-13.05-.68,.56,.06,1.38,.26,2.03,2.91,5.79,5.84,11.58,8.76,17.37,.3,.6,.59,1.2,.87,1.81,.03,.07-.05,.23-.11,.25-1.13,.3-2.05-.81-3.02-1.25-8.28-5.11-16.33-10.55-24.41-15.94-.31-.23-.99-.69-1.28-.18,.1,.52,.15,1.06,.38,1.54,2.92,6.15,5.92,12.27,9.05,18.32,.2,.4,.41,.8-.03,1.3-11.14-6.7-21.54-14.54-32.13-22.04-1.57-.39-.35,1.42-.12,2.13,2.74,6.19,5.75,12.27,8.33,18.52,.05,.M 39-.6,.37-.79,.3-4.74-3.1-9.22-6.63-13.8-9.95-7.18-5.37-14.43-10.69-21.36-16.27-.69-.45-1.31-1.27-2.22-1.13-.06,0-.18,.2-.15,.28,.28,.83,.55,1.66,.89,2.48,2.19,5.32,4.4,10.63,6.59,15.94,.16,.75,1.07,1.71,.4,2.35-9.6-6.29-18.46-14.22-27.44-21.37-5.13-4.27-10.21-8.59-15.31-12.89-.37-.31-.72-.66-1.3-.7-.08,0-.26,.08-.26,.13,1.62,6.52,4.39,12.84,6.41,19.29,.06,.47,.57,1.14,.25,1.55-.22,.04-.55,.11-.67,.02-.9-.65-1.79-1.31-2.63-2-9.96-8.19-19.65-16.58-29.14-25.11-6-5.39-11.91-10.85-17.87-16.27-.42-.39-.78-.88-1.72-.76,.M 93,6.06,2.89,12,3.68,18.07-.75,.11-1.14-.16-1.5-.49-13.66-12.25-27.17-24.79-40.26-37.53-5.81-5.66-11.51-11.39-17.25-17.11-.7-.61-1.19-.54-1.27,.2,.64,5.79,1.38,11.58,2.07,17.36,.04,.31-.04,.64-.1,.95-.07,.15-.5,.24-.64,.15-17.87-16.53-34.81-34.26-51.59-51.8-5.37-5.66-10.64-11.39-16.01-17.06-.95-1-1.39-2.02-1.38-3.27,.04-6.14,0-12.28,0-18.42,.27-1.41,1.56-.24,2.01,.4,18.57,20.64,37,41.16,56.55,60.99,2.49,2.54,4.99,5.08,7.52,7.6,.2,.2,.67,.22,1.08,.35-.08-6.31-1.34-12.47-1.83-18.75,0-.14,.29-.3,.48-.41,16.11,15.82,31M .85,32.87,48.62,48.61,2.58,2.49,5.24,4.92,7.86,7.38,1.32,.93,.95-1.3,.75-1.97-1.3-6.26-3.66-12.72-4.3-18.93,.71-.05,1.3,.74,1.84,1.11,4.15,3.97,8.25,7.96,12.41,11.92,10.83,10.32,22,20.39,33.32,30.36,.55,.42,1.07,1.07,1.86,.94-1.35-6.29-4.03-12.73-5.87-19.06-.26-.82-.66-1.66-.17-2.52l-.06,.1c.73,.1,1.11,.57,1.56,.96,12.63,11.29,25.31,22.36,38.6,33.06,.61,.47,1.25,1.3,2.18,1.18,.32-.68-.17-1.27-.39-1.86-1.19-3.2-2.47-6.37-3.68-9.56-1.17-3.09-2.29-6.19-3.41-9.29-.07-.18,.06-.41,.1-.62,.93,.02,1.54,.54,2.18,1.13,2.81,2M .32,5.61,4.65,8.45,6.95,8.55,6.62,16.69,14.05,25.84,19.92,.37-.45,.17-.84,0-1.24-2.15-4.99-4.3-9.97-6.41-14.96-.73-1.73-1.35-3.49-1.98-5.24-.04-.12,.19-.33,.34-.47,9.91,6.89,19.42,14.94,29.66,21.81,.49,.32,1.29,1.18,1.94,.69-1.67-5.12-4.42-9.89-6.48-14.87-.95-2.12-1.83-4.27-2.71-6.41-.07-.17,.12-.4,.18-.6,.52,.05,.96,.23,1.36,.56,6.99,4.9,13.96,9.81,20.96,14.7,1.68,1.04,3.36,2.75,5.36,3.13,.08-.07,.18-.21,.15-.28-.32-.82-.63-1.64-1-2.44-2.72-5.96-5.46-11.92-8.18-17.89-.19-.65-.91-1.47-.29-2.05,7.41,4.18,14.64,9.52,M 22.02,14.04,.61,.32,1.24,.97,1.99,.64,.33-.33-.2-1.09-.31-1.51-3.11-7.22-6.75-14.25-9.45-21.63,0-.2,.5-.61,.78-.41,6.41,4.4,12.81,8.6,19.7,12.36,1.94,.97,1.7,.06,1.08-1.47-3.21-7.76-6.43-15.52-9.64-23.29-.2-.81-1.11-1.99-.69-2.75,.35-.21,.75-.03,1.04,.15,5.84,3.86,11.85,7.46,17.8,11.16,.33,.15,1.15,.55,1.35,.17-.02-.31-.03-.62-.14-.91-1.51-3.91-3.07-7.8-4.56-11.71-2-5.25-3.95-10.51-5.91-15.77-.08-.45-.49-1.22-.13-1.55,.21-.08,.53-.19,.67-.12,5.08,2.79,10,5.85,15.04,8.72,.75,.32,1.6,.97,2.43,.94,.43-.39-.12-1.33-.2-M 1.84-3.42-9.83-7.38-19.55-9.94-29.57,.11-.87,1.5,.12,1.95,.23,4.83,2.55,9.47,5.43,14.48,7.62,.27,.12,.61-.06,.59-.29-2.72-10.97-6.71-21.67-9.38-32.67-.07-1.64,2.6,.29,3.26,.55,3.66,1.81,7.33,3.62,11.01,5.41,.52,.07,1.85,1.04,2.02,.2-1.21-6.98-3.5-13.92-5.02-20.89-.98-4.01-1.86-8.04-2.71-12.07-.2-.93-.57-1.9-.07-2.86l-.08,.08Z"/><path class="cls-2" d="M185.63,674.67c-.45,.45-.59,.97-.47,1.51,.42,1.91,.85,3.81,1.3,5.72,.84,3.6,1.69,7.19,2.52,10.79,.02,.09-.08,.27-.15,.28-1,.25-1.74-.81-2.51-1.28-13.39-10.92-26.78-21.M 85-39.64-33.18-6.43-5.66-12.82-11.35-19.23-17.03-.86-.56-1.54-1.82-2.67-1.64-.07,0-.18,.16-.18,.24,.14,5.82,1.35,11.57,2.03,17.35,.1,.77-.07,1.17-.45,1.06-26.11-21.17-50.35-45.1-74.35-68.36-.31-6.61-.11-13.18-.2-19.78,0-.41,.17-.83,.3-1.23,.02-.05,.29-.12,.37-.08,22.96,22.16,44.92,45.4,68.86,66.73,3.38,3.31,2.75,.61,2.5-2.27-.66-4.81-1.37-9.61-1.61-14.46-.02-.27,.18-.41,.51-.39,13.53,11.45,26,24.58,39.68,36.08,6.54,5.73,13.15,11.41,19.73,17.1,.7,.46,1.82,1.83,2.18,.65-1.12-4.98-2.27-9.95-3.39-14.93-.17-.73-.23-1.48M -.32-2.23-.01-.09,.1-.28,.15-.28,1.36,.06,2.2,1.48,3.27,2.19,8.9,7.8,17.91,15.52,27.14,23.06,7.06,5.77,14.27,11.44,21.42,17.14,.49,.29,1.04,.84,1.64,.76,.1-.05,.23-.19,.21-.26-.83-2.71-1.66-5.43-2.51-8.14-.82-2.61-1.66-5.22-2.45-7.83-.08-.25,.1-.55,.16-.83,.35,.14,.78,.22,1.04,.43,4.69,3.71,9.35,7.45,14.05,11.16,10.11,7.65,20.03,15.99,30.84,22.75,.35-.4,.22-.79,.04-1.2-2.18-4.98-4.35-9.96-6.51-14.94-.57-1.32-1.09-2.66-1.59-4-.04-.11,.18-.32,.33-.44,.05-.04,.28,0,.37,.06,12.51,8.98,24.98,18.22,38.03,26.57,.25,.16,.6M 6,.49,.93,.17,.18-.2,.1-.63-.03-.9-2.65-5.41-5.33-10.82-8-16.22-.44-1.1-1.42-2.11-1.12-3.34,1.08,.15,1.68,.76,2.38,1.25,10.3,6.92,20.66,14.09,31.56,20.15,.09-.31,.26-.54,.19-.7-.54-1.1-1.12-2.19-1.69-3.28-2.7-5.16-5.41-10.32-8.11-15.49-.21-.39-.36-.8,.1-1.18,8.58,4.84,16.69,10.55,25.53,15.25,.99,.56,2.01,1.07,3.03,1.59,.29,.15,.53,.07,.65-.16,.05-.09,.13-.21,.09-.28-.34-.7-.67-1.4-1.05-2.09-2.91-5.33-5.83-10.65-8.75-15.97-1.93-3.34,.65-1.69,2.3-.7,6.67,4.02,13.71,7.62,20.65,11.34,.55,.3,1.96,1.01,2.09,.54,.32-.75-.M 54-1.4-.78-2.07-2.88-5.1-5.77-10.2-8.64-15.3-.28-.72-2.53-3.86-.5-3.18,6.57,3.39,13.15,6.74,19.74,10.1,.65,.22,1.42,.81,2.11,.66,.09-.06,.22-.2,.19-.26-.27-.6-.55-1.21-.87-1.8-2.83-5.12-5.67-10.23-8.5-15.36-.47-1.38-2.47-3.15-1.15-4.49l-.12-.05c5.79,3.78,12.55,6.23,18.9,9.22,1.62,.27,.51-1.42,.15-2.12-2.96-5.66-5.93-11.31-8.87-16.98-1.31-2.84-2.13-3.88,1.53-2.23,4.89,2.03,9.67,4.31,14.63,6.18,2.11,.43-.1-2.48-.34-3.3-3.14-6.18-6.16-12.4-8.92-18.69-1.12-2.99,.71-1.62,2.37-1.03,3.81,1.59,7.5,3.46,11.38,4.89,.82,.25,1M .69,1.01,2.52,.35,.64-.51-.11-1.2-.35-1.78-3.43-8.72-7.41-17.27-10.56-26.08,.05-.35,.38-.62,.8-.44,4.77,1.7,9.33,3.93,14.17,5.45,.45,.13,.98-.22,.82-.71-1.63-4.44-3.32-8.86-4.94-13.3-1.75-5.4-4.26-10.63-5.4-16.17-.03-.24,.28-.4,.57-.33,3.87,1.14,7.59,2.73,11.41,4.04,.76,.1,2.35,1.11,2.72,.05-2.62-9.68-6.11-19.17-8.57-28.87-.23-.84-.36-1.69-.52-2.54-.05-.24,.59-.57,.9-.47,4.21,1.44,8.46,2.78,12.69,4.15,.32,.1,.89-.22,.85-.47-2.04-8.66-4.24-17.3-6.14-26-.53-2.33-1.05-4.66-1.55-6.99-.11-.51-.21-1.04,.24-1.5,4.03,.86,7M .78,2.38,11.77,3.41,.68,.2,2.18,.43,2.21-.57-1.4-8.86-2.95-17.7-4.34-26.56-.47-2.99-.76-6-1.11-9-.1-.86-.2-1.72,.13-2.56l-.16,.13c.53,0,1.07,.05,1.58-.03,4.41-.7,8.8-1.46,13.08-2.57l-.14-.08c1.22,3.8,1.11,7.86,1.69,11.78,1.07,8.84,2.15,17.74,4.04,26.45l.07-.08c-4.44,1.22-8.83,2.56-13.4,3.45-.69,.13-1.05,.64-.92,1.24,2.27,11.22,4.63,22.48,7.76,33.53l.14-.13c-1.07,.32-2.14,.17-3.17-.09-2.95-.74-5.89-1.52-8.84-2.26-.61-.09-1.78-.42-2.11,.26,2.18,10.41,5.97,20.48,8.95,30.71-.41,.47-.9,.54-1.45,.4-3.32-.88-6.63-1.76-9.9M 5-2.65-.74-.1-2.48-1.05-2.72,0,2.94,9.2,6.66,18.14,9.91,27.24,.28,.79,.85,2.13-.64,1.91-3.69-.98-7.31-2.16-10.96-3.26-.71-.21-2.55-.99-2.52,.23,3.09,8.27,6.55,16.37,10.28,24.44,.36,.78,1.31,2.37-.31,2.19-4.23-.96-8.28-2.54-12.44-3.76-2.8-.87-2.05,.29-1.21,2.18,3.12,6.69,7.18,13.3,9.83,20.04-.81,.5-1.77-.07-2.59-.25-4.56-1.55-9.12-3.13-13.67-4.7-.18,.26-.44,.47-.39,.61,.25,.72,.52,1.44,.9,2.12,3.33,6.23,7.07,12.27,10.18,18.6-.29,.78-1.4,.17-1.97,.04-4.86-1.84-9.72-3.69-14.56-5.56-.74-.29-1.45-.57-2.28-.33,.02,0,.33-M .04,.33-.04h-.3c3.42,5.86,6.85,11.71,10.27,17.56,2.32,3.62,2.06,3.95-1.92,2.26-5.11-2.18-10.21-4.37-15.32-6.55-1.33-.42-2.29-.92-1.4,1,1.95,3.31,3.91,6.62,5.9,9.91,1.64,2.71,3.33,5.41,4.97,8.12,.22,.49-.38,.81-.81,.65-7.65-2.82-14.61-6.95-22.03-10.07-.58,.81,.33,1.62,.63,2.39,2.91,5.09,5.98,10.12,9.19,15.1,.43,.66,.78,1.36,1.11,2.06,.05,.12-.2,.32-.37,.58-7.5-3.3-14.77-7.1-21.93-10.92-1.36-.61-2.57-1.72-4.12-1.81-.24-.02-.28,.5-.05,.89,3.49,5.83,7,11.64,10.49,17.47,.23,.41,.73,1.21-.03,1.28-10.42-4.42-19.87-10.93-2M 9.84-15.88-.62,.78,.51,1.87,.8,2.67,2.74,4.8,5.5,9.59,8.25,14.39,.3,.81,1.49,1.84,.92,2.64-.02,.03-.25,.04-.33,0-10.02-5.26-19.69-11.33-29.27-17.23-1.58-1-3.18-1.99-4.79-2.96-.15-.09-.57-.08-.66,0-.14,.14-.19,.42-.12,.59,.36,.81,.76,1.61,1.18,2.4,2.66,5.06,5.32,10.12,7.99,15.18,.26,.5,.6,.97,.18,1.55-14.24-7.67-27.14-17.67-40.79-26.34,0-.03,.03-.06,.04-.1-.47,.62-.24,1.25,.02,1.86,1.76,4.76,4.42,9.6,5.74,14.33-.23,.06-.57,.16-.69,.08-1.89-1.21-3.77-2.42-5.62-3.67-13.05-8.82-25.67-18.03-38.05-27.45-1.1-.7-4.44-3.88-M 3.27-.43,1.37,4.16,2.78,8.3,4.14,12.46,.27,.82,.39,1.67,.57,2.51-.01,.2-.45,.32-.61,.23-18.72-13.63-36.95-27.69-54.36-42.71,.06,.25,0,.29-.16,.11l.29-.05Z"/><path class="cls-2" d="M922.95,211.55c-.66-.26-1.33-.14-1.96,.01-2.05,.51-4.11,1.04-6.14,1.6-9.42,2.42-18.74,5.64-28.21,7.65-.51-.12,.43-1.1,.61-1.31,8.89-8.54,17.9-16.98,26.9-25.41,.4-.54,1.58-1.08,1.1-1.81-.55-.27-1.33,.14-1.92,.21-8.96,2.34-17.91,4.69-26.87,7.03-1.66,.43-3.33,.86-5.01,1.26-.18,.04-.44-.11-.64-.21,9.93-10.37,21.57-19.8,32.08-29.83,.71-.65,1.3M 7-1.32,2.04-1.99,.28-.36-.36-.54-.6-.56-9.99,2.04-19.98,4.44-29.85,6.9-.64,.07-1.76,.46-2.3,.1,11.4-11.84,24.9-22.62,37.33-33.86,1.02-1.07,2.6-1.8,3.05-3.24-9.74,1.06-19.46,3.63-29.18,5.24-.59,.09-1.27,.34-1.75-.15-.07-.05-.06-.24,0-.31,15.26-14.51,32.61-27.58,47.65-42.05-.05-.13-.39-.29-.58-.27-3.87,.43-7.73,.88-11.6,1.33-5.33,.48-10.64,1.57-15.99,1.58-.02-.24-.15-.52-.03-.64,.75-.76,1.52-1.51,2.34-2.22,17.08-14.73,34.38-29.2,51.75-43.62,3.35-2.79,2.47-2.38,6.96-2.4,6.6-.04,13.21-.07,19.81-.09,.95,.13,2.26-.32,2.9M 1,.52,.05,.07,0,.23-.07,.3-.61,.57-1.22,1.14-1.87,1.68-16.54,13.57-33.11,27.11-49.47,40.88-.67,.61-1.63,1.09-1.6,2.09,7.88-.2,15.99-1.69,23.93-2.33,1.54-.03,3.25-.58,4.72-.28,.06,.08,.08,.25,.01,.31-.57,.59-1.11,1.2-1.75,1.74-8.44,7.12-16.91,14.2-25.32,21.33-5.73,4.86-11.4,9.77-17.09,14.66-.45,.48-1.26,.84-1.06,1.58,.52,.26,1.35,.07,1.95,.02,9.2-1.62,18.4-3.25,27.6-4.88,.51-.09,1.03-.17,1.52,.1-.03,.73-.75,1.12-1.28,1.58-5.21,4.51-10.47,8.99-15.65,13.52-6.82,5.96-13.59,11.96-20.38,17.95-.35,.44-1.38,1.02-1.24,1.57,M .05,.08,.2,.18,.29,.17,1.05-.15,2.11-.28,3.13-.5,7.93-1.71,15.85-3.45,23.77-5.16,1.69-.36,3.4-.65,5.11-.94,.2-.03,.59,.08,.65,.2,.08,.16-.02,.44-.17,.59-.86,.83-1.76,1.63-2.66,2.43-8.44,7.55-16.89,15.1-25.32,22.65-1.52,1.36-2.98,2.78-4.45,4.18-.29,1.16,2.69-.04,3.3-.08,10.2-2.41,20.4-4.82,30.6-7.23,.41-.16,1.67-.11,1.38,.5-8.15,7.95-16.76,15.45-25.07,23.24-.84,.9-2.61,1.9-2.66,3.07,11.2-1.79,22.39-5.46,33.58-7.9,1.23-.14,2.59-.99,3.78-.49,.05,.02,.03,.23-.04,.3-.63,.69-1.25,1.39-1.94,2.05-6.47,6.21-12.95,12.41-19.4M 2,18.61-.91,.96-2.05,1.66-2.51,2.94,1.41,.24,2.63-.29,3.96-.61,10.98-2.95,22.15-5.39,33.25-8.02,.84-.11,1.84-.58,2.62-.07,.07,.04,.07,.23,0,.3-.39,.44-.79,.87-1.21,1.29-5.92,5.87-11.84,11.74-17.75,17.62-3.15,3.09-1.31,2.42,1.7,1.76,12.9-2.97,25.87-6.17,38.95-8.36,.22-.02,.48,.26,.37,.46-5.3,5.88-10.93,11.47-16.35,17.23-.49,.51-.91,1.06-1.34,1.6-.06,.08-.06,.27,0,.31,.19,.11,.46,.26,.64,.23,3.14-.6,6.27-1.24,9.41-1.84,7.85-1.52,15.7-3.05,23.56-4.52,3.8-.71,7.64-1.3,11.46-1.93,.24-.04,.63,0,.74,.12,.25,.28,.07,.59-.1M 7,.86-4.97,5.64-10.15,11.11-14.99,16.85-.22,.31,.36,.62,.55,.63,11.79-1.64,23.47-3.88,35.31-5.34,4.52-.54,8.99-1.51,13.53-1.78,.12,0,.34,.04,.36,.1,.07,.19,.17,.43,.07,.58-4.07,5.5-8.77,10.54-12.8,16.07-.11,1.21,2.21,.48,2.97,.56,17.07-2.01,34.17-3.83,51.32-5.02,.34-.03,.7,.42,.56,.68-.16,.3-.29,.61-.48,.89-3.7,5.25-7.36,10.52-11.04,15.78l-.04,.03c-18.78,1-37.44,3.36-56.14,5.23-.35,.02-.79-.44-.64-.67,.45-.66,.87-1.33,1.36-1.97,2.97-3.85,5.96-7.68,8.94-11.53,.34-.67,2.33-2.38,.92-2.65-11.3,1.15-22.55,3-33.76,4.83-5M .4,.88-10.81,1.77-16.22,2.64-.18,.03-.44-.14-.63-.26-.07-.04-.06-.23,0-.31,.47-.65,.92-1.31,1.44-1.93,4.02-5.04,8.95-9.74,12.49-15-.19-.11-.45-.26-.64-.23-2.11,.35-4.21,.7-6.3,1.1-7.85,1.5-15.71,2.98-23.54,4.55-4.7,.94-9.35,2.02-14.02,3.03-.77,.17-1.55,.4-2.35,.05-.08-.72,.54-1.19,1.01-1.7,4.28-4.7,8.57-9.39,12.86-14.09,.7-.97,2.14-1.69,1.94-3.02,0,.01,.02,.25,.02,.25l-.02-.18c-13.95,2.71-27.73,6.19-41.51,9.52-.59,.07-1.37,.37-1.92,.09-.06-.07-.07-.22-.01-.29,.49-.63,.94-1.29,1.5-1.88,5.52-5.97,11.56-11.53,16.8-17.M 74,.06-.78-1.53-.16-1.98-.15-9.43,2.2-18.74,4.7-28.07,7.16-3.44,.91-6.9,1.79-10.35,2.67-1.24-.02,.9-1.81,1.16-2.23,5.82-5.79,11.65-11.57,17.48-17.36,.84-.84,1.66-1.69,2.47-2.55,.06-.07,.05-.27-.01-.3-.19-.11-.45-.26-.63-.23-1.56,.34-3.11,.69-4.64,1.1-7.53,2.01-15.06,4.02-22.58,6.06-3.06,.83-6.08,1.74-9.12,2.61-.5,.14-1.02,.2-1.5-.16,.41-1.04,1.41-1.8,2.25-2.62,5.36-5.26,10.76-10.49,16.16-15.73,1.89-1.83,3.81-3.63,5.72-5.44,.35-.33,.68-.67,.61-1.14,.16-.05,.38-.07,.25-.27-.26,0-.31,.12-.16,.32Z"/><path class="cls-2"M d="M1005.31,859.89c4.1,1.05,8.2,2.1,12.31,3.13,.5,.12,1.5,.22,1.72-.32-2.14-10.42-5.98-20.5-8.95-30.74,.44-.47,.94-.53,1.49-.39,3.96,1.04,7.9,2.15,11.86,3.15,.38,.09,.88-.24,.79-.52-.32-1.04-.61-2.09-.99-3.12-2.98-8.05-5.98-16.09-8.96-24.14-.19-.6-.73-1.91,.36-1.87,4.54,.86,8.77,2.88,13.3,3.7,.16,.01,.51-.26,.5-.4-2.75-8.23-6.51-16.18-10.02-24.19-1.59-3.17-1.07-3.04,2.06-2.23,4.04,1.14,7.95,2.79,12.06,3.64,.16,.02,.54-.26,.52-.34-1.99-5.3-5-10.21-7.41-15.34-.95-2.31-2.76-4.42-3.21-6.86,0-.23,.79-.26,1.51-.04,4.89,M 1.47,9.59,3.47,14.48,4.91,.33,.09,.63-.39,.59-.62-2.92-6.3-6.7-12.21-9.96-18.35-.23-.72-1.76-2.2-.9-2.6,1.05-.1,2.01,.37,2.97,.71,4,1.54,8,3.09,12,4.63,1.19,.39,2.47,1.3,3.72,.67-.12,.06-.23,.11-.33,.16l.33-.13c-4.09-6.01-7.45-12.52-11.26-18.72-.34-.57-.83-1.11-.59-1.8l-.09,.06c.53-.2,1.05-.12,1.54,.09,3.71,1.53,7.43,3.04,11.12,4.6,2.26,.96,4.47,2,6.71,2.99,.77,.41,1.67,0,1-.86-3.71-6.22-7.43-12.43-11.15-18.64-.14-.24-.03-.43,.29-.52,6.31,1.95,12.32,5.34,18.25,8.17,2.2,.97,6.68,4.13,3.58-.76-3.29-5.43-6.57-10.86-9.M 9-16.26-.26-.43-.23-.86,.05-.86,1.2-.06,2.15,.68,3.2,1.12,7.9,3.41,15.19,8,22.89,11.47,.67-.66-.36-1.62-.63-2.32-3.24-5.78-7.21-11.23-10.03-17.2,.29-.38,1.06,.03,1.41,.14,2.51,1.26,5.03,2.51,7.49,3.83,6.83,3.66,13.55,7.41,20.15,11.36,3.04,1.6,.56-1.97,.04-2.95-2.69-4.7-5.39-9.4-8.07-14.1-2.46-3.92,1.37-1.38,3.03-.46,10.09,5.94,20.24,11.82,29.98,18.13,.51,.33,1.03,.75,1.69,.52,.07-.01,.16-.19,.12-.25-.57-1.21-1.13-2.42-1.75-3.61-2.68-5.17-5.37-10.34-8.05-15.51-.04-.07,0-.25,.06-.27,.22-.07,.54-.19,.69-.12,12.77,7.52M ,25.08,15.93,37.23,24.34,1.01,.69,1.87,1.56,3.22,1.88,.37-.41,.21-.8,.04-1.21-1.83-4.39-3.65-8.78-5.47-13.18-.18-.59-.74-1.23-.14-1.74,15.24,9.27,29.59,20.45,43.8,31.03,1.07,.82,2.2,1.58,3.32,2.35,.09,.06,.34,.1,.38,.06,.14-.13,.34-.33,.3-.46-5.63-19.72-10.68-21.18,8.32-7.06,13.1,9.94,25.91,20.11,38.42,30.53,.62,.36,3.56,3.37,3.7,1.83-1.08-5.65-2.52-11.23-3.79-16.83-.04-.16,.11-.48,.25-.51,14.37,10.18,27.8,22.63,41.28,33.99,6.96,6.15,13.89,12.33,20.84,18.49,.45,.4,.95,.76,1.45,1.11,.13,.06,.58-.08,.62-.26-.11-6.09-M 1.53-12.18-1.86-18.3,.34-.67,1.16,.02,1.53,.31,25.1,21.79,49.42,44.45,73.02,67.82,.19,6.6,.03,13.16,.07,19.76,0,.4-.17,.81-.3,1.2-.26,.32-.78-.04-1-.22-21.88-22.52-44.47-44.62-67.63-65.99-1.38-1.07-3.28-3.54-2.99-.11,.7,5.57,1.46,11.13,1.88,16.72,.03,.43-.68,.35-.87,.27-17.28-16.47-35.08-32.57-53.18-48.24-2.36-2.07-4.79-4.08-7.21-6.11-.16-.13-.48-.15-.73-.19-.46-.1-.41,.67-.31,1.07,1.18,5.08,2.37,10.16,3.54,15.24,.06,.47,.25,1.18-.04,1.55-.26-.02-.6,0-.75-.13-17.34-14.51-34.19-30.2-52.66-43.21-.17,.12-.42,.31-.39,.M 43,.34,1.26,.7,2.52,1.1,3.77,1.13,3.55,2.29,7.09,3.4,10.64,.19,.61,.21,1.26,.29,1.9,0,.21-.45,.32-.6,.25-14.29-11.39-28.67-22.79-43.78-33.53-.48-.35-.87-.84-1.62-.87-.1,0-.3,.11-.29,.15,2.14,6.78,5.75,13.14,8.14,19.87,.06,.41-.56,.37-.8,.33-12.76-8.91-25.25-18.97-38.74-26.8-.3,.07-.43,.24-.33,.46,.42,.91,.83,1.82,1.27,2.72,2.47,5.01,4.95,10.01,7.41,15.02,.3,.6,.55,1.21,.82,1.82,.11,.23,.03,.41-.27,.5-.12,.04-.31,.05-.39,0-1.97-1.3-3.94-2.61-5.89-3.93-9.05-5.87-17.94-12.38-27.57-17.39-.65-.41-.32,.42,.07-.09-.56,1.0M 9,.41,2.02,.82,3,2.83,5.89,6.58,11.47,8.88,17.56-.32,.35-.97-.13-1.32-.27-4.99-3.1-9.92-6.26-14.96-9.32-3.75-2.28-7.61-4.43-11.43-6.63-.52-.3-1-.71-1.75-.63-.58,.69,.18,1.2,.4,1.76,.24,.61,.66,1.18,.98,1.77,2.7,4.92,5.4,9.84,8.09,14.76,.36,.87,1.23,1.69,.56,2.45-7.78-4.45-15.59-8.81-23.61-12.97-.57-.17-1.58-1.1-2.05-.48,2.26,5.51,6.91,12.31,9.8,17.94,.3,.82,1.35,1.86,.8,2.68-.81,0-1.63-.7-2.4-.99-6.64-3.21-13.01-7.05-19.81-9.89-1.02,.1,.09,1.35,.25,1.88,2.88,5.21,5.77,10.41,8.65,15.63,.5,1.42,2.36,3.06,1.16,4.51v-.M 03c-5.7-3.83-12.48-6.22-18.79-9.23-.2-.09-.48-.05-.73-.06-.23,0-.32,.54-.14,.89,2.4,4.55,4.84,9.08,7.2,13.64,1.23,2.38,2.35,4.79,3.5,7.19,.08,.35-.57,.47-.77,.45-5.33-2.23-10.54-4.76-15.96-6.82-.61-.25-1.27-.33-1.88,0,.22,.02,.37,.04,.46-.18l-.37,.18c3.57,7.3,7.29,14.54,10.54,21.99,.18,.4,.24,.83,.32,1.26,.02,.08-.09,.23-.18,.27-.98,.41-1.89-.5-2.81-.78-4.26-1.86-8.43-3.92-12.87-5.36-.4-.12-1.04,.2-.91,.68,3.51,9.24,8.05,18.22,11.04,27.61-.16,.88-2.16-.37-2.75-.45-3.74-1.48-7.46-2.99-11.2-4.45-.46-.18-1.03-.2-1.55-M .26-.07,0-.25,.16-.24,.23,3.42,10.36,7.5,20.6,10.92,30.99l.08-.12c-4.44-1.82-8.96-3.44-13.51-5.01-.58-.15-1.8-.58-1.98,.25,2.68,9.84,6.22,19.56,8.77,29.44,.2,.71,.54,1.45,.09,2.19-1.16,.48-1.97-.31-2.93-.54-.77-.18-1.47-.53-2.21-.77-2.61-.85-5.23-1.69-7.84-2.54-.71-.23-1.41-.02-1.24,.69,2.91,10.81,5.29,21.71,7.7,32.6,.12,.52,.22,1.06-.16,1.56-.7,.14-1.29-.15-1.88-.35-4.03-1.5-8.32-2.38-12.39-3.82-2.52-11.71-5.06-23.4-8-35.01l-.1,.1Z"/><path class="cls-2" d="M863.92,603.15l-7.96,5.38c-.92-.51-1.85-1.03-2.76-1.58,3.6M 1-1.93,7-2.57,10.72-3.8Z"/><path class="cls-2" d="M954.2,542.06l-21.71,14.71c-2.95,.01-6.02-.32-8.94,0-.18,.09-.39,.42-.32,.51,1.02,1.22,2.26,2.31,3.43,3.4l-8.49,5.75c-4.71,.18-9.63-.14-14.23,.69-.03,.2-.09,.47,.05,.59,1.77,1.61,3.67,3.07,5.54,4.57l-6.5,4.39c-4.48,.44-9.07,.35-13.48,1.2-.32,.08-.49,.61-.24,.8,1.69,1.3,3.43,2.54,5.16,3.8l-8.34,5.65h-.01c-2.26,.32-4.54,.66-6.81,.98-2.32,.5,.75,2.07,1.51,2.6l-12.75,8.64c-3.03-1.98-6.21-3.72-9.29-5.62-.23-.14-.2-.54-.31-.89,5.92-1.7,11.9-2.97,17.81-4.28,.13-.57-.2-.88-M .63-1.15-2.1-1.34-4.21-2.68-6.31-4.03-.95-.61-1.89-1.22-2.82-1.84-.4-.26-.58-.7-.38-.84,6.56-2.11,13.86-2.52,20.71-3.71,.36-.86-.41-1.09-1.31-1.83-2.54-1.77-5.11-3.51-7.66-5.27-.42-.28-.77-.6-.69-1.16,7.78-1.98,16.88-1.45,24.49-3.05,.08-.16,.04-.46-.1-.58-.82-.72-1.67-1.41-2.52-2.1-2.09-1.68-4.2-3.34-6.26-5.04-.22-.18-.2-.55-.32-.96,9.47-1.03,18.83-1.2,28.33-1.47,.32-.03,.54-.55,.32-.79-2.07-2.15-4.45-4.03-6.63-6.07-.53-.67-3.17-2.29-1.61-2.7,3.49-.24,6.99-.41,10.5-.33,7.14,.16,14.28,.34,21.41,.47,.65,.05,1.3-.3,.8M 4-.98-1.86-2.19-3.94-4.22-5.92-6.31l14.48,2.24Z"/><path class="cls-2" d="M1115.41,516.52c.02,.05,.04,.11,.06,.16-.05-.01-.11-.03-.16-.04l.1-.12Z"/><path class="cls-2" d="M1188.21,523.03v.11s-.09-.03-.14-.05l.14-.06Z"/><path class="cls-2" d="M1385.32,605.41c0,1.07-.03,2.15-.05,3.28-1.29,.45-2.18-.35-3.26-.87-26.05-13.81-52.7-26.86-79.84-39.25-6.67-3.05-13.4-6.01-20.1-9-.68-.31-1.36-.67-2.21-.51-.39,.9-.1,1.75,.02,2.6,.65,4.71,1.31,9.42,1.96,14.13,.14,.89,.31,2.58-1.14,2.05-13.21-5.81-26.24-11.91-39.63-17.45-15.01-6.M 33-30.28-12.24-45.64-18-.72-.2-2.02-.97-2.37-.02,.78,4.92,2.51,9.69,3.67,14.54,.1,.7,.56,1.57-.11,2.09-24.39-8.83-48.6-18.34-73.7-25.46-1.83,.03-.08,2.32,.1,3.24,1.37,3.5,2.74,6.99,4.09,10.49,.17,.55,.59,1.51-.28,1.62-20.46-6.05-40.71-12.73-61.64-17.37-2.03-.08-.05,2.17,.21,3.08,1.74,3.39,3.49,6.77,5.2,10.16,.08,.16,0,.44-.15,.56-.9,.45-2.07-.23-3.02-.37-12.56-3.37-25.35-6.26-38.14-8.82l2.59-11.69c10.08,1.83,20.04,4.11,30.05,6.25,.43,.1,1.03-.18,.91-.69-1.71-3.75-3.73-7.38-5.54-11.09-.33-.79-1.47-2.32,.24-2.22,21.2M 6,4.27,42.24,9.94,63,15.97,.52-.44,.52-.86,.36-1.28-1.85-4.89-3.68-9.78-5.43-14.7,26.04,6.73,51.08,15.75,76.45,24.09,.47-.63,.26-1.28,.1-1.9-1.17-5.25-3.18-10.4-3.81-15.73,30.38,10.42,60.24,21.95,89.7,34.57,.75,.29,1.57,.08,1.38-.87-.59-4.61-1.22-9.21-1.82-13.81-.18-1.38-.53-2.75-.16-4.15,35.66,13.35,70.1,30.07,104.3,46.65,4.31,2.16,3.66,1.41,3.69,5.33,.04,4.85,.02,9.7,.02,14.55Z"/><path class="cls-2" d="M907.37,673.36c-3.22,1.4-6.41,2.78-9.61,4.16-.65,.29-1.24,.21-1.82-.24-3.84-3.02-7.69-6.04-11.55-9.05-.47-.38-1.M 04-.7-1.04-1.39,2.9-1.99,6.45-3.39,9.56-5.27,.59-.6-.45-1.14-.86-1.54-3.56-2.64-7.13-5.26-10.7-7.89-.48-.36-1.08-.65-1.33-1.32,2.5-1.96,6.12-3.01,9.01-4.53,2.34-1.05,2.37-1.09,.27-2.61-1.85-1.31-3.73-2.58-5.59-3.89l10.65-7.2c3.32,2.57,6.89,4.91,10.11,7.61,.23,.21,.23,.57,.33,.84-3.97,1.27-7.84,2.35-11.71,3.71-2.04,.93,.89,2.06,1.57,2.83,3.66,2.98,7.53,5.77,11.05,8.89-.23,.54-.64,.78-1.15,.95-3.08,1.07-6.22,1.99-9.22,3.28-2.7,.88,2.06,3.26,2.89,4.31,2.89,2.41,5.77,4.83,8.65,7.25,.39,.32,.63,.67,.49,1.1Z"/><path clasM s="cls-2" d="M907.87,627.75c-.2,.24-.61,.4-.97,.51-2.82,.45-5.66,1.04-8.47,1.57l6.84-4.62c.77,.57,1.52,1.14,2.28,1.72,.29,.23,.56,.54,.32,.82Z"/><path class="cls-2" d="M977.66,580.8c-.03,.08-.23,.16-.33,.15-1.83-.26-3.67-.54-5.5-.79l3.68-2.49c.77,.83,1.56,1.65,2.24,2.56,.1,.14-.02,.39-.09,.57Z"/><path class="cls-2" d="M1385.34,651.62c-.02,2.52-1.06,1.65-2.75,.73-30.9-18.52-62.66-35.92-94.93-52.14-.63-.19-1.84-1.07-2.35-.35-.29,1.29,.04,2.57,.23,3.85,.63,4.38,1.29,8.77,1.92,13.15,.07,.57,.17,1.56-.63,1.54-26.84-13.6M 8-54.08-27.43-82.07-39.4-.53-.17-1.66-.75-2.01-.04,.77,4.82,2.54,9.47,3.69,14.21,.88,3.26-.18,2.59-2.58,1.58-22.21-10.11-44.87-19.9-68.19-28.09-.11-.03-.53,.27-.51,.36,.23,.83,.48,1.67,.81,2.49,1.61,4.12,3.5,8.12,4.89,12.31,0,.33-.63,.45-.84,.41-18.75-7.24-37.51-14.14-56.91-20.04-.88-.27-1.78-.5-2.68-.7-.1-.02-.47,.29-.45,.41,1.8,4.54,4.73,8.64,6.73,13.12,.06,.14-.12,.37-.24,.54-.68,.19-1.56-.29-2.25-.43-9.07-3.02-18.24-5.86-27.51-8.47-7.01-1.78-14-4.14-21.11-5.42-.18,.02-.49,.29-.46,.4,1.95,4.27,5.32,7.88,7.44,12.M 08-.56,.4-1.06,.36-1.59,.23-6.35-1.63-12.63-3.36-19-4.89l2.34-10.55c1.1,.02,9.61,2.86,9.15,1.31-2.18-4.08-5.34-7.67-7.32-11.83,.15-.86,2.54-.04,3.2,0,16.55,3.35,32.57,8.22,48.82,12.44,.96-.3-.21-1.62-.38-2.24-1.68-3.17-3.4-6.33-5.08-9.5-.19-.61-1.29-2-.3-2.24,20.87,4.89,41.03,12.56,61.32,19.07,.57-1.36-.61-2.68-.96-3.99-1.34-3.72-3.25-7.3-4.27-11.09,.3-.85,1.76-.07,2.38,.02,9.38,3.26,18.76,6.54,28.04,9.99,13.8,5.14,27.36,10.67,40.83,16.34,.46,.19,.98,.31,1.48,.45,.31,.08,.56-.05,.54-.33-.64-4.94-2.54-9.67-3.67-14.5M 2-.19-.72-.53-1.46-.01-2.19,25.84,9.53,51.26,21.49,76.07,33.36,3.11,1.5,6.25,2.96,9.38,4.44,.27,.12,.91-.17,.93-.4-.03-5.67-1.42-11.35-2.03-17.02-.04-.31,0-.63-.01-.95,0-.27,.61-.5,.97-.36,34.6,16.23,68.75,33.5,101.77,52.6,.37,6.57,.05,13.17,.16,19.75Z"/><path class="cls-2" d="M234.99,169.89c.96-.1,1.86,.03,2.74,.37,3.64,1.38,7.29,2.75,10.95,4.1,3.63,1.16,7.03,2.97,10.81,3.57,1.72-10.71,1.56-21.72,2.69-32.54,.72-8.14,1.57-16.28,2.28-24.43,.05-.53,.11-1.07-.37-1.53l-.05,.02c.89-.36,1.8-.32,2.74-.14,7.88,1.32,15.65,3M .34,23.59,4.2l-.09-.08c-2.76,20.32-4.83,40.72-6.47,61.16-.11,2.65-1.77,1.48-3.49,1.05-4.68-1.65-9.35-3.33-14.03-4.98-2.13-.58-4.15-1.81-6.39-1.74-1.48,17.84-1.41,35.8-2.17,53.68-.9,1.26-6.12-2.42-7.55-2.88-4.19-2.16-8.37-4.33-12.56-6.49-.99-.39-1.86-1.17-2.99-.76-.16,14.83,.1,29.71,.65,44.54,.02,1.22,.42,3.95-1.73,2.47-6.88-4.49-13.66-9.13-20.58-13.57-.44-.37-.97,.03-1.11,.45,.18,13.76,1.73,27.52,2.44,41.27-1.1,.48-1.82-.56-2.68-1.08-6.27-4.89-12.53-9.79-18.8-14.68-4.06-3.61-2.66,.59-2.64,3.36,.74,7.84,1.49,15.68,2M .26,23.52,.27,2.9,.73,5.78,.78,8.69-.44,1.25-2.27-.94-2.87-1.3-6.58-5.85-13.15-11.7-19.73-17.55-.72-.64-1.48-1.24-2.27-1.82-.12-.09-.47,.03-.78,.06,.34,8.68,1.89,17.38,2.78,26.04,.28,2.36,.57,4.72,.82,7.08-.06,.19-.53,.58-.82,.36-.65-.54-1.32-1.07-1.9-1.65-7.21-7.11-14.4-14.24-21.62-21.35-.84-.83-1.77-1.6-2.68-2.39-.06-.05-.25-.02-.38,0-.11,.02-.29,.08-.3,.12-.03,.43-.08,.86-.03,1.28,.76,6.43,1.52,12.87,2.3,19.3,.34,2.79,.73,5.57,1.1,8.35,.11,.82,.02,1.09-.36,1.08-.63-.02-.92-.39-1.23-.72-8.69-9.2-17.38-18.4-26.07-M 27.59-.56-.59-1.22-1.13-1.86-1.68-.12-.07-.59,.04-.63,.19,.08,5.59,1.09,11.16,1.56,16.74,.33,3,.69,6.01,1.04,9.01,.14,1.11-1.01,.85-1.36,.29-4.3-4.83-8.6-9.65-12.89-14.48-5.46-6.15-10.9-12.31-16.36-18.45-.94-.88-2.98-3.72-2.81-.62,.39,5.16,.82,10.32,1.21,15.48-.09,1.17,1.08,7.69-.76,6.2-11.76-13.33-23.09-27.05-34.67-40.53-1.25-1.21-.94-2.82-1.05-4.35-.02-5.39-.03-10.77-.04-16.16,.04-.64-.08-1.41,.62-1.75,.05-.04,.29,.03,.36,.1,11.51,12.07,21.88,25.22,33.44,37.23,.12,.08,.57-.03,.61-.2,.01-4.2-.42-8.39-.68-12.58-.2-M 3.44-.64-6.88-.63-10.33,.18-.6,.73-.85,1.35-.21,10.02,10.51,19.59,21.45,29.79,31.79,.55,.21,.8-.25,.76-.76-.47-5.05-.96-10.09-1.43-15.14-.29-3.11-.57-6.23-.84-9.35-.04-.43-.08-.86-.04-1.29,.07-.42,.7-.87,1.07-.43,8.37,8.12,16.5,16.49,24.79,24.7,1.06,.82,1.8,2.34,3.26,2.32-.76-10.3-2.17-20.6-2.96-30.88,1.15-.37,1.79,.65,2.61,1.24,3.89,3.58,7.76,7.17,11.64,10.75,3.62,3.34,7.23,6.68,10.86,10.01,.39,.26,1.1,1.07,1.57,.76,.15-.16,.34-.35,.32-.53-.12-1.72-.27-3.44-.44-5.16-.85-9.56-2.1-19.1-2.38-28.68,.17-.92,1.36-.17,1.M 78,.19,7.59,5.94,14.82,12.31,22.54,18.08,1.01,.21,.87-.69,.89-1.39-.33-6.89-.99-13.76-1.44-20.65-.31-5.27-.6-10.54-.9-15.82-.02-.43,0-.86,.11-1.28,.24-.3,1.04-.25,1.37,.04,6.82,4.55,13.54,9.22,20.33,13.81,1.72,1.14,2.79,1.9,2.63-.93-.42-13.89-1.16-27.78-1.14-41.68,0-.3,0-.71,.49-.76,.36-.04,.81,.02,1.11,.18,3.39,1.76,6.75,3.56,10.12,5.34,3.6,1.9,7.19,3.8,10.79,5.7,.5,.26,.98,.27,1.54-.08,.25-15.69,.18-31.42,.94-47.11-.05-1.27,.36-2.67-.37-3.79h0Z"/><path class="cls-2" d="M1146.12,1319.56c.52-.78,.61-1.64,.71-2.5,.7M 6-6.65,1.58-13.29,2.29-19.95,1.29-12.66,2.62-25.32,3.6-38.01,.2-.88,.04-2.44,1.36-2.31,5.52,1.61,10.85,3.8,16.29,5.65,1.48,.52,2.97,1.02,4.46,1.51,1.61,.52,1.97,.36,2.05-.89,.34-5.06,.63-10.11,.75-15.18,.6-11.19,.77-22.39,1-33.59,.03-1.18,.13-2.36,.2-3.54,.28-.8,1.44-.39,2-.15,6.17,3.06,12.24,6.28,18.36,9.42,.75,.24,2.15,1.41,2.7,.46,.42-13.11,0-26.28-.43-39.4-.11-2.37-.15-4.74-.19-7.11,0-.18,.17-.37,.27-.56,.11-.2,.71-.16,1.11,.08,6.64,4.18,13.08,8.66,19.63,12.97,.68,.28,1.59,1.36,2.3,.7,.4-6.31-.61-12.69-.77-19.0M 2-.34-7.53-1.1-15.05-1.41-22.57,.91-.31,1.59,.5,2.29,.95,7.08,5.44,14.01,11.09,21.17,16.42,.19,.08,.91,.15,.92-.26-.23-3.11-.42-6.23-.71-9.34-.84-8.91-1.81-17.82-2.7-26.73,.01-.38-.14-.96,.26-1.15,.12-.04,.32-.08,.39-.03,.61,.42,1.24,.81,1.78,1.29,7.42,6.54,14.72,13.2,22.21,19.67,1.5,.86,.97-1.93,.94-2.7-.33-3.22-.68-6.44-1.04-9.66-.71-6.33-1.48-12.65-2.23-18.98,0-.71-.42-1.66,.42-2.04,.05-.04,.26,0,.32,.06,8.16,7.68,15.95,15.74,23.98,23.56,.82,.62,1.42,1.89,2.57,1.79,.06,0,.18-.15,.18-.23-.05-1.07-.06-2.15-.18-3.2M 1-.79-7.08-1.74-14.15-2.62-21.22,.05-2.09-1.68-7.79,1.79-3.9,9.11,9.46,17.86,19.27,27.18,28.52,.11,.07,.59-.08,.61-.25-.05-1.5-.04-3.01-.19-4.5-.7-7.08-1.54-14.16-2.24-21.24,0-.24,.43-.68,.71-.57,10.15,10.59,19.51,21.96,29.39,32.83,.7,.79,1.46,1.54,2.23,2.28,.1,.1,.46,.05,.7,.02,.07,0,.17-.16,.18-.25,.01-6.56-.89-13.11-1.23-19.67,.04-.95-.33-2.37,0-3.17,.25,0,.62-.04,.74,.07,11.57,13.02,22.62,26.52,34.02,39.7,.69,.81,1.37,1.6,1.37,2.63-.03,6.57-.06,13.14-.09,19.7-.16,2.41-7.18-6.95-7.99-7.51-7.77-8.8-15.54-17.6-23.M 32-26.39-.7-.79-1.47-1.54-2.22-2.29-.12-.07-.59,.06-.64,.19-.12,6.86,.78,13.76,1.02,20.63,.28,4.19-.83,2.61-2.9,.5-8.6-9.25-17.19-18.5-25.79-27.75-.64-.69-1.33-1.35-1.99-2.03-.2-.21-.45-.3-.7-.12-.55,.44-.29,1.21-.29,1.82,.77,8.37,1.55,16.74,2.28,25.11-1,.34-1.53-.51-2.19-1.06-8.72-8.62-17.23-17.45-26.05-25.96-.39-.26-1.02-.13-1.03,.41,.89,9.77,2,19.53,2.79,29.31,0,.3-.25,1.04-.68,.96-1.31-.63-2.26-1.85-3.37-2.75-6.35-5.86-12.69-11.74-19.04-17.6-.88-.81-1.84-1.57-2.77-2.34-.24-.23-.82,.15-.86,.31,.21,7.11,1.12,14.1M 8,1.72,21.26,.33,3.98,.71,7.95,.92,11.93,0,2.45-2.15,.15-2.95-.45-6.14-4.99-12.28-9.99-18.43-14.97-.94-.76-1.93-1.49-2.94-2.2-.18-.08-.88-.09-.89,.3,.23,9.59,1.42,19.13,1.75,28.71,.01,3.32,.73,6.69,.41,9.99-.39,.48-1.28,.1-1.7-.2-6.78-4.61-13.54-9.22-20.33-13.81-.53-.26-1.04-.85-1.67-.74-.32,.03-.47,.17-.49,.43-.16,3.86,.13,7.75,.25,11.62,.42,10.65,.92,21.32,.63,31.97-.27,.74-1.5,.16-2.01-.12-6.51-3.45-13.02-6.9-19.54-10.35-2.6-1.45-2.39-.26-2.45,2.03-.25,16.26,.01,32.54-1.08,48.78l.14-.06c-7.8-2.53-15.31-5.85-23.1M 5-8.31-.49-.17-1.14,.17-1.17,.59-1.36,19.43-2.9,38.84-4.92,58.22l.12-.11c-8.74-.93-17.25-3.52-26-4.44l.08,.07Z"/><path class="cls-2" d="M943.15,1097.85c3.43-16.88,6.9-33.75,9.46-50.78,.51-2.64-.92-1.77-2.51-1.11-4.77,2.22-9.43,4.64-14.26,6.74-1.24,.14-.73-1.36-.69-2.1,.63-3.63,1.3-7.25,1.92-10.87,1.66-10.46,2.88-20.97,4.13-31.48-.36-1.28-2.08,.15-2.77,.46-3.79,2.25-7.56,4.51-11.35,6.75-.48,.21-2.12,1.36-2.28,.48,.27-2.14,.54-4.27,.86-6.41,1.25-7.79,1.69-15.66,2.59-23.49,.27-2.79,.51-5.58,.76-8.37,.02-.26-.16-.41-.4M 7-.43-.62-.07-1.16,.48-1.67,.75-3.93,2.8-7.84,5.61-11.85,8.3-.14,.1-.49,.02-.74-.02-.37-.23-.26-.81-.26-1.19,.73-10.74,2.32-21.47,2.12-32.25-.66-.63-1.64,.37-2.21,.74-2.95,2.51-5.86,5.06-8.81,7.58-1.81,1.45-2.73,2.28-2.63-.77,.36-8.83,.98-17.65,.87-26.48,0-.18-.21-.36-.32-.53-.14-.21-.69-.1-1.03,.21-3.55,3.36-6.93,6.89-10.54,10.21-.07,.07-.27,.14-.34,.11-.21-.09-.52-.23-.54-.36-.08-.75-.13-1.5-.12-2.25,.02-7.22,.35-14.44,.12-21.65-.02-.47,.31-1.22-.58-1.34-.72-.1-1.02,.58-1.4,1-2.68,2.97-5.35,5.95-8.03,8.91-.64,.6-M 1.12,1.43-2.13,1.15-.16-6.35-.21-12.7-.35-19.05-.02-.96,.09-1.94-.43-2.85-.51-.75-1.51,.74-1.92,1.08-2.47,2.95-4.92,5.92-7.39,8.88-.54,.42-1.12,1.75-1.91,1.35-.09-.06-.21-.15-.21-.23-.07-1.07-.18-2.14-.16-3.22,.07-5.07-.65-10.11-.85-15.17,.03-.4-.68-.9-1.01-.59-2.94,3.42-5.48,7.15-8.26,10.7-.54,.56-.88,1.54-1.81,1.46-.1,0-.28-.11-.3-.2-.12-.53-.27-1.05-.3-1.58-.15-4.85-.46-9.69-1.04-14.51-.02-.18-.22-.35-.34-.52-.13-.18-.7,.06-.97,.42-2.78,3.81-5.53,7.64-8.33,11.45-.29,.29-.99,1.12-1.43,.84-2.93-17.91,.86-19.74-10.M 91-3.31-.66,.67-1.09,2.08-2.18,2.01-.09,0-.23-.14-.25-.24-.19-.74-.41-1.47-.51-2.22-.49-1.36-.67-11.41-2.45-10.18-3.15,4.11-6.04,8.4-9.09,12.59-.33,.46-.63,.96-1.33,1.14-.57-.37-.7-.9-.79-1.44-.64-3.36-.9-6.7-2.05-9.96-1.62,.56-2.07,2.15-3.12,3.34-2.66,3.5-5.33,6.99-8.01,10.47-.31,.3-.7,.83-1.21,.71-1.44-2.78-1.47-6.6-3.07-9.56-.87-.46-1.59,.95-2.15,1.45-4,5.02-7.77,10.18-12.29,14.77-.96,.46-1.18-.82-1.4-1.49-.64-2.2-1.27-4.4-1.93-6.6-.05-.18-.31-.32-.49-.46-.22-.19-.69-.05-1.01,.29-.83,.84-1.56,1.75-2.35,2.63-3.43M ,3.87-6.86,7.73-10.3,11.59-.71,.66-1.24,1.64-2.34,1.65-1.26-2.7-1.38-5.66-2.72-8.31-.8,.05-1.15,.37-1.46,.71-4.01,4.47-8.51,8.62-12.89,12.86-.84,.76-2.92,3.35-3.46,1.24-.59-2.22-1.22-4.41-1.93-6.6-1.02-1.35-2.53,1.2-3.43,1.75-4.9,4.4-9.52,9.26-15.04,13.05-.21,.07-.82-.05-.97-.32-1.55-2.5-3.1-5-4.66-7.51,5.34-4.77,11-9.18,15.93-14.2,.76-.62,1.37-1.53,2.47-1.55,2.12,2.12,3.38,4.85,5.26,7.11,1.08-.25,1.48-.84,1.98-1.32,4.54-4.41,8.99-8.87,13.18-13.5,.39-.43,.73-.9,1.61-.88,1.59,2.23,1.86,4.94,3.22,7.22,.78,.51,1.5-.61M ,2.02-1.05,4.23-4.86,8.35-9.8,12.61-14.63,1.65-1.37,3.18,6.9,4.32,7.95,.85-.16,1.19-.63,1.57-1.07,3.75-4.35,7.11-8.89,10.53-13.41,.59-.57,1.54-2.71,2.48-1.84,1.32,2.67,2.15,5.54,3.3,8.29,.02,.06,.55,.11,.64,.02,3.99-4.45,6.92-9.77,10.66-14.44,.15-.18,.66-.15,1.12-.25,1.02,3.32,2,6.55,2.98,9.76,1.19,.16,1.55-.93,2.19-1.68,2.4-3.62,4.77-7.24,7.14-10.87,.37-.57,.65-1.18,1.35-1.57,.59,.14,.8,.52,.91,.93,.95,3.47,1.55,7.03,2.85,10.39,.02,.05,.2,.09,.3,.08,.78-.15,1.34-1.42,1.85-2,2.17-3.34,4.31-6.7,6.47-10.05,.49-.59,.7M 5-1.62,1.69-1.51,.1,0,.26,.11,.3,.2,1.23,3.69,1.52,7.65,2.37,11.45,.13,.37,.19,1.02,.65,1.11,.23,0,.58-.02,.67-.14,2.95-3.94,5.43-8.18,8.2-12.24,.24-.26,.79-.83,1.2-.58,1.52,4.66,1.22,9.88,2.58,14.63,.12,.31,.81,.22,.96,.1,.64-.82,1.25-1.66,1.83-2.51,2.13-3.12,4.25-6.24,6.37-9.36,.29-.43,.7-.6,1.39-.35,.86,5.41,1.81,10.86,2.06,16.34,.01,.31,.52,.74,.72,.64,.22-.11,.47-.21,.63-.36,2-2.39,3.72-5,5.61-7.48,.96-1.3,1.88-2.61,2.88-3.89,.15-.19,.67-.2,1.12-.32,1.03,6.52,1.26,12.89,2.02,19.41,.01,.14,.35,.28,.56,.37,.56-.M 06,.98-.74,1.37-1.1,2.63-3.26,5.22-6.54,7.85-9.79,.29-.36,.84-.61,.96-.45,.2,.25,.43,.52,.46,.8,3.34,24.39-3.22,28.17,11.55,11.79,.42-.4,1.2-1.23,1.8-.72,.94,7.91,.99,15.92,1.03,23.88,.12,.73-.27,2.37,.95,1.97,3.66-3.08,6.89-6.62,10.37-9.89,.37-.36,.8-.55,1.48-.23,.42,8.68,.4,17.41,.17,26.11-.03,1.07,.03,2.15,.1,3.22,.07,.19,.6,.55,.88,.31,3.27-2.34,6.23-5.07,9.37-7.58,.83-.43,2.51-2.66,3.29-1.6,.77,11.28-.67,22.6-.66,33.88,.99,.54,2.13-.69,3.03-1.18,3.36-2.33,6.69-4.68,10.04-7.02,.33-.3,1.02-.45,1.43-.19,.11,.3,.2M 5,.62,.24,.93-.28,6.13-.36,12.28-.92,18.4-.33,4.62-.65,9.25-.99,13.87-.1,2.02-.92,4.07-.5,6.09,.59,.2,1.06,.03,1.51-.23,2.31-1.31,4.6-2.63,6.92-3.93,2.2-1.23,4.43-2.44,6.66-3.65,.27-.15,.92,.1,.95,.34,.14,6.85-1.15,13.76-1.56,20.62-.74,8.06-2.05,16.07-2.98,24.11-.05,.41,.65,.76,1.13,.55,4.73-2.05,9.41-4.2,14.11-6.29,.71-.34,2.38-1.16,2.59,.02-.19,2.04-.35,4.08-.61,6.12-1.4,10.61-3.02,21.19-4.68,31.76,.04,1.68-3.65,15.14-1.66,14.38,5.68-1.51,11.11-3.86,16.73-5.61,1.67-.52,2.07-.23,1.9,1.34-3.25,19.89-7.4,39.63-11.5,M 59.36-.04,.24,.54,.6,.84,.54,6.23-1.23,12.4-3.58,18.85-3.11,.23,0,.46,.2,.82,.38-4,23.6-10.59,46.79-16.28,70.06l.08-.08c-7.66,.74-15.29,2.51-22.87,3.7-.7-.53-.49-1.16-.33-1.88,1.47-4.91,3.03-9.81,4.43-14.74,4.95-17.16,9.27-34.46,13.61-51.77,.12-.76,.43-1.78-.73-1.8-5.29,1.16-10.47,2.75-15.72,4.08-1.34,.18-4.94,2.13-4.33-.54,1.42-6.03,3-12.02,4.5-18.03,3.18-13.4,6.39-26.8,8.63-40.37,.03-.27-.54-.57-.87-.45-6.29,2.15-12.51,4.5-18.78,6.73l.11,.13Z"/><path class="cls-2" d="M1070.65,700.58c-1.4,.77-2.71-.42-3.97-.94-6.1M 6-2.88-12.31-5.78-18.49-8.64-1.21-.37-7.37-3.77-4.72-.23,3.3,4.94,6.61,9.87,9.9,14.81,.98,1.61,2.13,3.21-.79,1.96-5-2.12-9.97-4.27-14.99-6.36-1.91-.8-3.88-1.49-5.86-2.18-.28-.1-.72,.08-1.25,.16,3.95,5.97,7.9,11.8,11.85,17.75,.24,.37,.46,.78-.14,1.21-6.68-2.44-13.15-5.34-20.08-7.4-.19,.19-.5,.39-.46,.49,.19,.51,.42,1.01,.73,1.48,3.18,4.87,6.38,9.72,9.57,14.59,.51,.94,1.42,1.8,1.35,2.92-.01,.25-.44,.27-1.07,.06-4.83-1.64-9.66-3.28-14.5-4.91-.99-.22-2.02-.9-3.01-.42,.09,1,.87,1.79,1.4,2.64,3.06,4.91,6.17,9.81,9.25,14.M 72,.42,.67,.79,1.37,1.12,2.07,.07,.14-.12,.38-.23,.55-.7,.18-1.55-.31-2.25-.45-4.23-1.41-8.55-2.6-12.9-3.74-.38-.1-.79-.26-1.12-.01-.53,.39-.06,.78,.13,1.14,.2,.4,.46,.78,.69,1.17,2.97,5.07,5.94,10.14,8.89,15.22,.56,.97,1.03,1.98,1.52,2.98,.04,.09,.03,.27-.04,.3-.97,.49-2.03-.21-3.03-.35-3.46-.88-6.92-1.78-10.38-2.65-.63-.16-1.32-.25-1.94,.11,0,.89,.6,1.61,1.01,2.4,3.12,6.4,6.99,12.56,9.69,19.11,.02,.15-.31,.47-.43,.45-4.34-.67-8.62-1.7-12.93-2.53-1.85,0-.07,2.08,.18,2.92,3.63,7.51,6.89,15.12,9.87,22.83-.42,.46-.93M ,.5-1.47,.39-4.28-.97-8.58-1.88-12.93-2.5l.1,.06c-3.16-8.39-7.06-16.48-10.79-24.64-.1-.26,.29-.75,.59-.73,3.88,.22,7.75,.63,11.6,1.12,.54,.06,1.03-.42,.83-.84-3.1-6.46-6.77-12.65-10.13-18.98-.27-.59-1.16-1.69-.05-1.91,4.43,.03,8.67,1.5,13.04,1.81,.34-.02,.52-.2,.42-.43-3.01-6.16-7.05-11.82-10.46-17.77-.4-.66-1.03-1.27-.88-2.08,.62-.35,1.3-.24,1.94-.12,3.78,.74,7.63,1.31,11.33,2.3,.64,.17,1.3,.29,1.95-.09-2.91-5.93-7.36-11.22-10.83-16.89-.37-.76-1.31-1.46-.94-2.35l-.06,.09c4.6,.09,9.04,2.09,13.57,2.93,.67,.03,3.15,1M .09,3.13,.09-3.75-6.23-8.35-11.99-12.33-18.08,.5-.45,1.02-.41,1.52-.28,5.6,1.52,11.19,3.06,16.75,4.72,1.52-.05-.2-1.69-.5-2.31-3.17-4.38-6.36-8.75-9.52-13.14-.6-.83-1.13-1.71-1.67-2.57-.03-.05,.05-.18,.12-.23,.53-.33,1.32,.06,1.9,.15,5.41,1.64,10.81,3.31,16.09,5.22,.85,.31,1.75,.53,2.64,.77,.12,.03,.52-.24,.49-.39-3.71-6.04-8.44-11.46-12.35-17.39-.06-.08-.07-.28-.03-.3,.21-.09,.49-.23,.68-.19,7.23,2.24,14.35,4.95,21.37,7.65,.74,.41,3.36,1.32,1.95-.63-3.87-5.42-7.75-10.84-11.62-16.26-.31-.37,.2-.65,.54-.58,5.19,1.67M ,10.18,3.94,15.25,5.91,3.84,1.57,7.61,3.22,11.43,4.82,.15,.05,.94-.03,.79-.39-.62-1.34-1.63-2.47-2.44-3.71-2.88-4.14-5.76-8.28-8.65-12.42-.31-.39-.8-1.17-.15-1.39,3.36,.81,6.49,2.58,9.68,3.86,7.48,3.14,14.67,6.98,22.1,10,.46-.19-.04-1.12-.18-1.46-2.14-3.48-4.32-6.94-6.47-10.41-.36-.57-.66-1.17-.97-1.76-.03-.06,.06-.19,.14-.25,.55-.29,1.26,.24,1.8,.39,5.18,2.52,10.4,4.98,15.51,7.59,6.13,3.13,12.15,6.4,18.22,9.6,.64,.21,1.4,.92,2.06,.69,.09-.07,.21-.2,.18-.27-.24-.61-.47-1.23-.79-1.82-1.75-3.27-3.52-6.52-5.28-9.78-2.M 43-3.91-.46-2.77,2.21-1.38,13.71,7.07,26.68,14.97,39.84,22.63,.1,.05,.36,.07,.38,.03,.11-.17,.29-.4,.22-.55-2.16-4.86-4.37-9.72-6.45-14.61,.33-.77,1.4,.09,1.92,.29,16.78,9.5,32.47,20.24,48.68,30.43,.17,.07,.53-.14,.48-.34-.29-.94-.58-1.88-.92-2.81-1.43-3.93-2.87-7.85-4.3-11.78-.18-.51-.38-1.03,.13-1.63,17.57,10.46,34.16,22.77,50.72,34.5,2.39,1.74,4.76,3.49,7.16,5.22,.12,.09,.47,.01,.7-.04,.5-.67-.13-1.73-.22-2.51-1.18-4.64-2.37-9.28-3.55-13.92-.34-1.55,1.11-.89,1.84-.32,2.12,1.5,4.25,2.99,6.34,4.51,18.33,13.32,36.6M 2,27.01,54.1,41.27,1.89,1.53,3.82,3.04,5.75,4.54,.15,.12,.54,.15,.74,.07,.23-.14,.38-.55,.31-.83-.63-4.49-1.29-8.99-1.89-13.48-.17-1.58-1.29-6.16,1.65-3.68,26.66,20.93,52.78,42.49,78,65.1,.43,6.66,.06,13.37,.17,20.06-.18,1.21-.21,1.83-1.57,.74-3.28-3-6.54-6.02-9.8-9.03-20.71-19.14-42.18-37.93-64.17-55.99-.5-.3-1.35-1.24-1.85-.56,.28,5.6,1.44,11.12,2.08,16.69,.05,.54,.42,1.98-.48,1.97-18.61-14.89-36.6-30.74-55.95-45.19-2.82-2.17-5.64-4.32-8.47-6.48-.48-.37-.97-.76-1.86-.66,.82,5.76,3.1,11.32,3.86,17.1-.04,.22-.48,.6M 2-.77,.45-13.33-10.15-26.6-20.47-40.4-30.27-4.6-3.32-9.31-6.55-13.97-9.81-.61-.36-1.22-.97-2-.77-.07,.01-.16,.19-.14,.29,.09,.42,.19,.84,.33,1.25,1.64,4.77,3.3,9.54,4.93,14.32,.06,.19-.03,.41-.08,.62-.32,.36-1.25-.22-1.64-.54-9.02-6.34-18.04-12.63-27.19-18.83-6.18-4.17-12.57-8.12-18.88-12.16-.49-.21-1.17-.76-1.71-.55-.09,.06-.2,.19-.18,.26,.32,.82,.65,1.64,1.01,2.45,1.7,3.86,3.42,7.71,5.1,11.57,.17,.38,.11,.83,.12,1.25,0,.05-.21,.16-.27,.14-3.49-1.6-6.51-4.16-9.84-6.11-9.67-6.2-19.54-12.2-29.65-17.93-.76-.43-1.6-.7M 8-2.41-1.15-.05-.02-.22,.05-.28,.11-.08,.08-.17,.21-.14,.28,.31,.71,.63,1.42,.99,2.11,1.96,3.78,3.93,7.55,5.89,11.33,.21,.44,.58,1.33-.23,1.27-11.09-6.25-22.07-12.7-33.53-18.56-.78-.41-1.64-.71-2.48-1.04-.03-.01-.27,.16-.25,.21,1.67,4.12,4.65,7.73,6.8,11.65,1.49,2.28,2.6,4.81,4.36,6.9l-.07-.07c-1.42,.87-2.86-.8-4.16-1.28-8.84-4.71-17.86-9.19-27.06-13.43-1.27-.33-.49,1.16-.08,1.64,3.82,5.64,7.15,11.68,11.27,17.09l.04-.04Z"/><path class="cls-2" d="M327.1,761.25c1.2-1.05-.46-2.45-.81-3.57-1.86-3.58-3.71-7.16-5.58-10.7M 3-.21-.41-.34-.8,.08-1.27,10.94,6.27,21.86,12.56,33.17,18.4,.83,.3,2.35,1.57,3.12,1.06,.32-.78-.76-1.61-1.04-2.33-2.82-4.65-5.64-9.29-8.46-13.94-.34-.77-1.22-1.48-.97-2.36,.64-.54,2.27,.9,3.04,1.15,8.72,4.69,17.69,9.06,26.73,13.34,.44,.21,.87,.51,1.45,.37,.7-.04-.48-1.57-.65-1.98-3.56-5.42-7.19-10.8-10.48-16.38-.46-1.49,2.46,.16,2.99,.41,8,3.55,15.64,7.79,23.87,10.81,.64-.73-.24-1.38-.59-2.06-3.36-5.03-6.74-10.05-10.09-15.09-.6-1.22-1.69-2.5,.58-1.71,6.6,2.99,13.33,5.66,20.08,8.3,.7,.22,1.48,.67,2.2,.24,.06-.03,.08M -.2,.04-.27-.61-.95-1.24-1.9-1.86-2.85-3.33-5.04-6.66-10.08-9.97-15.13-.08-.13,.11-.39,.21-.57,6.87,1.95,13.51,5.66,20.52,7.21,.91-.33-.86-1.97-1.05-2.55-3.45-5.59-7.54-10.87-10.59-16.67,.45-.8,1.72,.12,2.42,.2,5.11,1.65,10.14,3.54,15.28,5.07,1.87,.2,.28-1.64-.13-2.38-3.48-5.45-7.01-10.89-10.28-16.47-.21-.36-.17-.82-.25-1.24l-.1,.05c.68-.26,1.31-.06,1.93,.13,3.27,.99,6.52,2.01,9.8,2.97,1.51,.44,3.07,.76,4.62,1.1,.09,.02,.45-.33,.4-.44-3.29-6.27-7.31-12.19-10.55-18.44-.2-.6-1.36-1.97-.38-2.19,4.17,.68,8.18,2.09,12.2M 9,3.03,.92,.13,1.87,.5,2.68-.16-3.48-6.86-7.2-13.62-10.66-20.5-.2-.39-.43-.8,0-1.19,.33-.3,.75-.13,1.12-.06,4.03,.87,8.07,1.63,12.11,2.43,.88,.03,.81-.63,.54-1.19-3.92-8.06-7.53-16.26-10.7-24.58,.5-.42,1.02-.45,1.56-.34,4.28,.96,8.58,1.78,12.9,2.5l-.11-.06c2.87,8.48,7.08,16.44,10.72,24.67,.18,1.24-3.79,.38-4.67,.44-2-.2-3.99-.47-5.99-.7-.76-.09-1.7-.53-2.23,.11-.48,.58,.18,1.23,.49,1.81,3.35,6.34,6.84,12.62,10.12,19,.13,.26-.26,.69-.62,.65-4.28-.26-8.45-1.18-12.67-1.87-1.24,.07-.43,1.17-.15,1.79,3.17,5.48,6.41,10.9M 3,9.81,16.28,.37,.78,2.03,2.51,.13,2.49-4.2-.61-8.43-1.41-12.54-2.43-3-.68-.86,1.63-.23,2.95,3.14,4.76,6.32,9.5,9.47,14.25,.21,.51,1.71,2.12,.65,2.21-5.01-.61-9.79-2.27-14.71-3.35-.48-.12-1.03-.06-1.55-.06-.07,0-.22,.16-.2,.22,2.43,4.6,5.9,8.67,8.73,13.06,1.05,1.5,2.14,2.99,3.2,4.49,.78,.85-.41,1.03-1.09,.87-21.55-5-21.6-10.22-7.48,9.83,.74,1.02,1.48,2.05,2.19,3.09,.11,.16,.13,.54,.09,.56-.36,.09-.78,.21-1.13,.14-5.55-1.55-10.98-3.55-16.48-5.27-.84-.21-4.79-2.1-3.13,.3,3.38,4.65,6.77,9.3,10.15,13.95,.61,.84,1.21,1.M 67,1.79,2.52,.16,.24,.07,.43-.22,.53-.62,.16-1.28-.24-1.88-.37-6.87-2.47-13.79-4.8-20.56-7.5-3.77-1.39,.02,2.52,.7,3.72,3.27,4.58,6.7,9.05,9.85,13.71-.29,.13-.56,.35-.7,.3-1.13-.34-2.25-.69-3.34-1.11-6.8-2.6-13.51-5.34-20.12-8.23-1.06-.46-2.15-.87-3.24-1.3-.47-.2-.68,.46-.61,.54,3.19,5.14,6.9,9.97,10.29,14.98,.58,.9,1.67,1.94,.64,2.93h.03c-.39-.62-1.19-.83-1.88-1.13-9.92-4.29-19.75-8.75-29.52-13.35-.72,.55-.29,.89,.11,1.71,2.41,3.97,4.96,7.88,7.32,11.87,.08,.15-.08,.4-.17,.59-9.44-3.55-18.46-8.87-27.45-13.41-3.13-1M .67-6.31-3.29-9.47-4.92-.09-.05-.34-.06-.36-.03-.11,.18-.3,.41-.24,.56,2.07,4.23,4.49,8.29,6.69,12.45,.14,.42,.67,1.15,.3,1.51-.07,.06-.25,.12-.31,.09-.93-.42-1.87-.83-2.76-1.3-13.88-6.97-26.81-15.32-40.23-22.64-.39,.58-.11,1.07,.12,1.58,1.96,4.35,4.04,8.67,5.92,13.05,.1,.27-.06,.6-.12,1.06-16.33-9.07-31.94-19.21-47.29-29.41-.82-.55-1.68-1.08-2.55-1.58-.13-.08-.44,0-.64,.07-.07,.02-.13,.2-.11,.29,1.57,5.24,3.87,10.28,5.44,15.52,.03,.17-.16,.37-.29,.53-.03,.04-.28,0-.38-.05-19.29-12.07-38.12-25.26-56.35-38.75-2.13-1M .52-2.05-.62-1.72,1.41,1.17,4.64,2.38,9.28,3.58,13.91,.12,.52,.35,1.09-.26,1.38-18.61-12.23-36.55-26.45-54.16-40.12-19.54-15.21-14.02-15.36-12.05,7.73-.21,1.07-1.62-.11-2.09-.45-12.61-9.87-25.14-19.81-37.38-29.98-13.27-11.02-26.18-22.28-39.09-33.59-1.97-1.78-1.85-1.49-1.86-3.71,0-5.92-.05-11.85-.07-17.77,0-.41-.09-.86,.36-1.18,.44-.35,.96,.25,1.3,.46,8.25,7.54,16.45,15.11,24.76,22.61,15.73,14.18,31.77,27.91,48.17,41.4,.75,.62,1.56,1.18,2.36,1.75,.1,.05,.61-.07,.64-.22-.08-6.12-1.6-12.19-2.16-18.3-.08-.43,.53-.48,.8M 3-.37,20.5,17.05,41.15,34.34,62.66,50.4,.78,.59,1.64,1.11,2.47,1.65,.29,.19,.74-.21,.73-.45-1.33-5.6-2.78-11.18-3.99-16.81-.03-.14,.23-.33,.39-.47,13.8,9.97,27.4,21.03,41.63,30.95,4.2,3.03,8.51,5.97,12.79,8.93,.6,.41,1.3,.73,1.97,1.07,.08,.04,.27,.02,.35-.03,.09-.06,.19-.2,.16-.28-.23-.84-.46-1.68-.75-2.5-1.45-4.15-2.92-8.29-4.37-12.43-.71-2.09,1.1-1.14,2-.43,4.86,3.41,9.67,6.86,14.57,10.24,10.42,7.14,20.96,14.32,31.93,20.83,.09,.05,.33,.06,.38,.02,.14-.15,.34-.35,.31-.5-1.74-4.77-4.08-9.34-6.04-14.03-.04-.35-.54-.M 95-.06-1.19,13.91,8.18,27.75,17.34,42.04,25.5,0,0,.15-.11,.15-.11l-.22,.06Z"/><path class="cls-2" d="M429.45,463.62c4.54-.33,8.91-1.58,13.38-2.4,.69-.19,2.21-.41,2.39,.44,.55,13.33,.34,26.74,1.62,40.02,.41,1.53,7.56-1.56,8.7-2.05,1.5-.71,2.93-1.53,4.39-2.3,.65-.34,1.34-.44,1.47-.19,.15,.28,.32,.57,.34,.87,.56,11.42,1.47,22.81,2.69,34.18,.66,1.76,3.01-.78,4-1.22,2.36-1.61,4.71-3.22,7.06-4.83,.96-.62,3.12-2.54,3.26-.29,.97,9.88,1.9,19.78,3.69,29.56,.07,.42,.88,.62,1.26,.32,3.45-2.71,6.8-5.51,10.19-8.3,.32-.29,1.06-.2M 4,1.21,.21,1.56,8.46,2.32,16.58,4.2,25.28,.08,.52,.38,1.01,.56,1.47,.76,.02,1.12-.29,1.45-.63,2.98-2.91,5.75-6.03,8.87-8.79,.15-.12,.49-.08,.87-.12,1.91,7.87,2.57,16.07,5.08,23.78,.71-.01,1.08-.3,1.39-.67,2.64-3.12,5.17-6.33,7.92-9.36,.32-.3,1-.29,1.13,.23,1.74,6.71,2.72,13.65,5.02,20.24,1.16-.03,1.52-1.05,2.17-1.8,2.01-2.8,3.99-5.62,6-8.42,.25-.35,.52-.73,1.18-.68,.64,.73,.75,1.59,.96,2.43,1.12,4.32,2.24,8.64,3.39,12.96,.22,.84,.55,1.66,.89,2.48,.12,.15,.77,.34,.96,.07,2.71-3.52,4.61-7.58,7.28-11.13,.11-.13,.47-.1M 4,.72-.17,.43,.11,.41,.75,.58,1.1,1.35,4.39,2.7,8.78,4.07,13.16,.21,.44,.41,1.2,.91,1.38,.22-.05,.52-.11,.6-.25,.55-.86,1.07-1.74,1.56-2.62,1.61-2.84,3.19-5.7,4.82-8.54,.23-.27,.71-.9,1.13-.6,2.21,4.2,3.03,9.15,4.97,13.53,1.18,.09,1.36-.96,1.95-1.85,1.67-3.18,3.32-6.36,4.97-9.54,.31-.6,.6-1.2,1.28-1.61,.73,.59,.92,1.33,1.16,2.06,1.15,3.31,2.29,6.71,4.05,9.8,.87,.85,1.28-.8,1.69-1.4,1.62-3.31,3.22-6.62,4.85-9.93,.29-.59,.71-1.15,1.09-1.71,.04-.06,.21-.08,.32-.08,.54-.06,.7,.57,.93,.92,.99,1.48,3.62,9.62,5.27,8.96,2.M 67-4.27,4.33-9.09,6.89-13.43,.3-.44,.91-.26,1.13,.13,1.62,2.68,2.86,5.76,5.01,8.05,1.03,.45,1.4-1.4,1.89-2.03,1.93-3.79,3.84-7.58,5.75-11.38,.21-.41,.52-.75,1.23-.91,.9,.97,5.12,9.18,6.43,7.08,2.22-4.28,4.53-8.52,6.81-12.77,1.28-2.5,1.75-2.04,3.19,.03,1.33,1.48,2.7,2.95,4.07,4.42,.23,.25,.82,.18,1.01-.11,3.21-4.98,5.74-10.28,9.11-15.17,.46,.15,.92,.19,1.14,.39,1.8,1.59,3.31,3.49,5.29,4.86,1.29,.49,1.75-1.38,2.46-2.11,2.82-4.04,5.64-8.09,8.47-12.13,.32-.45,.62-.94,1.13-.99,2.42,1.88,4.73,3.68,7.08,5.51,.2,.43-.2,.76M -.46,1.13-3.34,4.8-6.74,9.56-10.05,14.38-.25,.38-.14,.88,.29,1.16,1.78,1.15,3.57,2.3,5.37,3.42,2,1.24,2.21,.45,3.4-1.14,2.89-4.01,5.76-8.04,8.64-12.05,.33-.46,.64-.94,1.37-1.07,2.65,1.15,5.01,2.9,7.59,4.3-.09,.33-.07,.68-.26,.94-3.25,4.59-6.45,9.22-9.75,13.77-.27,.34-.96,.48-1.43,.26-2.57-1.24-4.97-2.56-7.63-3.66-3.52,4.97-5.36,10.39-8.54,15.44l.14-.05c-2.59-1.33-5.04-2.98-7.72-4.12-.2-.05-.57,.06-.69,.19-2.18,3.61-3.57,7.67-5.45,11.44-.64,1.19-.83,2.63-2.01,3.44-3.12-1.14-4.95-3.29-8.15-4.37-2.01,4.12-3.43,8.39-5.M 18,12.61-.32,.8-.5,1.65-1.35,2.42-3.05-1.15-4.93-3.56-7.94-4.84-1.88,.91-4.97,15.72-6.65,14.48-2.13-1.55-3.8-3.62-5.72-5.41-.42-.42-.8-.87-1.66-1-2.37,4.32-2.92,9.47-5.35,13.74-.63,0-1-.31-1.32-.66-1.74-1.92-3.46-3.85-5.19-5.77-.57-.57-.9-1.18-1.87-.98-1.75,4.2-2.71,8.89-4.8,12.91-.11,.1-.6,.14-.68,.05-.75-.75-1.48-1.52-2.15-2.32-1.63-1.98-3.22-3.97-4.82-5.96-.17-.21-.93-.16-1.03,.07-1.73,3.91-3.18,7.99-4.63,11.98-.82,.14-1.2-.16-1.63-.73-1.86-2.62-3.7-5.25-5.56-7.87-.48-.49-.96-1.72-1.8-1.2-2.15,3.59-3.14,7.84-5.2M 2,11.49-.19,.31-.78,.14-.96-.01-2.9-3.61-4.67-8.25-7.75-11.64-.62,.3-.89,.78-1.13,1.29-1.73,3.38-3.11,6.94-5.15,10.15-.74-.35-1.05-.82-1.33-1.31-1.95-3.43-3.9-6.86-5.87-10.29-.65-.84-.8-2.13-2.05-2.22-1.98,3.01-3.57,6.27-5.5,9.31-.3,.42-.32,1.18-1.23,1.06-.77-.1-.82-.78-1.12-1.23-2.78-4.67-4.79-10.2-7.34-14.61-.63,.05-.95,.38-1.22,.76-1.79,2.53-3.58,5.06-5.37,7.59-.39,.55-.68,1.18-1.48,1.49-.69-.23-.9-.74-1.12-1.24-1.35-3.16-2.73-6.31-4.03-9.48-.92-2.25-1.75-4.53-2.61-6.79-.2-.52-.42-1.02-.97-1.38-.22,.09-.52,.14-.M 66,.28-2.44,2.7-4.79,5.47-7.2,8.2-.32,.37-.72,.62-1.37,.65-2.33-4.71-3.85-9.86-5.82-14.74-.72-1.11-1.72-7.81-3.35-6.65-2.93,2.68-5.74,5.46-8.8,8-.79,.48-1.3-.36-1.54-.98-2.33-6.86-4.7-13.7-6.68-20.63-.27-.94-.62-1.87-.98-2.79-.04-.1-.48-.2-.66-.15-3.59,1.77-6.66,4.51-10.31,6.18-.66,.18-.96-.53-1.09-1.04-1.55-5.46-3.13-10.91-4.61-16.38-.98-3.57-1.73-7.19-2.66-10.77-.13-.43-.77-.72-1.24-.52-2.26,.96-4.5,1.95-6.76,2.89-1.31,.55-2.65,1.04-3.99,1.54-.44,.17-1.16-.14-1.26-.54-2.68-10.08-4.46-20.35-6.6-30.55-.17-.84-.1-1.M 71-.14-2.56l-.07,.08c4.5-1.3,8.92-3.55,13.52-4.23,1.74,10.34,3.74,20.64,5.9,30.91,.12,.81,.42,1.77,1.51,1.36,3.72-1.53,7.04-3.6,10.59-5.31,1.01-.24,1.19,1.95,1.49,2.66,1.73,8.08,3.7,16.1,5.91,24.08,.05,.21,.17,.4,.26,.61,.08,.19,.86,.31,1.08,.16,2.83-1.9,5.27-4.31,7.92-6.44,.78-.45,2.16-2.49,2.87-1.06,2.24,7.43,3.88,14.97,6.44,22.33,.24,.55,.5,1.5,1.27,1.31,3.14-2.32,5.52-5.57,8.35-8.25,.34-.35,.7-.65,1.4-.6,2.69,6.88,4.15,14.38,7.26,21.06,.7,.39,1.34-.48,1.75-.92,2.29-2.79,4.36-5.73,6.76-8.42,.17-.12,.83-.18,.99,.M 11,.42,1.02,.84,2.04,1.21,3.07,1.66,4.54,3.31,9.09,4.97,13.64,.22,.62,.4,1.25,1.1,1.66,.68-.22,.98-.7,1.29-1.18,1.74-2.67,3.49-5.35,5.25-8.01,.43-.5,.98-1.67,1.78-1.3,2.05,4.29,3.63,8.79,5.51,13.15,1.18,2.52,1.69,4.29,3.47,.77,1.46-2.66,2.91-5.33,4.39-7.98,.26-.46,.45-.99,1.27-1.23,2.51,4.31,4.55,8.96,7.04,13.34,.21,.36,.91,.52,1.17,.09,1.83-3.45,3.39-7.03,5.09-10.54,.19-.4,.47-.75,1.14-.9,2.63,3.69,4.21,7.98,7.14,11.48,.68-.05,.97-.36,1.16-.79,1.73-3.83,3.06-7.86,5.12-11.53,.8,.28,1.08,.76,1.38,1.23,1.69,2.58,3.36M ,5.15,5.07,7.72,.99,1.41,1.62,1.43,2.27-.24,6.71-15.29,2.32-14.31,12.06-3.1,.92,.41,1.27-1.52,1.65-2.12,1.46-3.58,2.7-7.24,4.28-10.77,.09-.17,.34-.35,.56-.4,.91-.12,1.3,.94,1.85,1.46,1.42,1.7,2.78,3.45,4.24,5.12,.51,.56,.92,.72,1.27,.59,.42-.16,.55-.44,.67-.74,1.39-3.49,2.77-6.98,4.17-10.46,.51-.78,.86-3.23,2.11-2.64,2.02,2.01,4.04,4.01,6.1,5.99,.2,.19,.94,.09,1.05-.14,2.3-4.68,3.82-9.73,6.4-14.26,.07-.11,.55-.18,.7-.1,2.14,1.24,3.94,2.92,5.94,4.36,.39,.29,.83,.55,1.59,.44,2.54-4.77,4.6-9.85,7.22-14.59,.26-.46,.87-M .61,1.29-.33,1.44,.98,2.85,1.97,4.3,2.94,.86,.39,2.04,1.81,2.97,.95,2.71-5.01,5.6-10.03,8.08-15.11-.58-1.17-2.02-1.68-3.04-2.5-1.23-.98-2.41-2.02-3.89-2.86-1.19,.55-1.52,1.66-2.14,2.69-1.95,3.55-3.88,7.1-5.83,10.65-.49,.63-.8,1.98-1.79,1.86-2.15-1.15-3.85-3.02-5.8-4.46-.39-.32-.79-.58-1.52-.51-3,4.78-5.02,10.16-7.76,15.07-.74,0-1.11-.28-1.43-.63-1.84-1.83-3.39-3.98-5.45-5.58-.12-.08-.63,0-.69,.12-.61,1.08-1.22,2.15-1.73,3.26-1.51,3.34-2.96,6.7-4.43,10.05-.19,.42-.48,.76-1.08,1-2.59-2.07-4.08-5-6.33-7.33-.73,.12-1,.M 47-1.17,.87-1.96,4.22-3.49,8.66-5.72,12.74-1.27,1.05-4.74-5.72-5.8-6.78-.99-1.42-1.56-2.06-2.44-.07-1.85,3.9-3.2,8.08-5.33,11.81-.41,.18-.99-.36-1.21-.62-1.62-2.6-3.22-5.21-4.81-7.83-.3-.49-.56-.98-1.33-1.31-2.53,4.03-3.87,8.7-6.14,12.87-.72-.1-1.04-.44-1.26-.84-1.51-2.76-3.15-5.48-4.3-8.36-.32-.81-.83-1.57-1.27-2.34-.1-.11-.58-.12-.69,.01-2.58,3.86-3.78,8.43-6.46,12.2-1.22-.54-1.44-1.93-1.99-3.01-1.48-3.57-2.95-7.15-4.46-10.82-1.22,.03-1.47,1.18-2,2.03-1.58,2.85-3.15,5.71-4.74,8.56-1.54,2.69-1.81,.19-2.59-1.32-1.6M 1-4.45-3.01-8.96-4.78-13.34-.05-.13-.36-.19-.54-.27-.65,.3-.88,.82-1.18,1.29-1.75,2.79-3.5,5.58-5.27,8.37-.38,.55-.92,1.63-1.7,1.42-2.46-5.57-3.96-11.63-5.84-17.44-.17-.42-.21-1.04-.86-.86-2.99,3.03-5.3,7.02-8.13,10.32-.68,.46-1.23-.53-1.37-1.08-1.81-6.18-3.65-12.34-5.17-18.59-.09-.6-.65-1.54-1.37-1.1-2.78,3.04-5.51,6.12-8.3,9.14-.6,.58-1.19,.45-1.46-.15-.46-1.68-.92-3.37-1.32-5.06-1.29-5.39-2.56-10.78-3.86-16.17-.18-.73-.43-1.46-.71-2.17-.03-.08-.53-.16-.65-.08-3.57,2.65-6.33,6.34-10.06,8.76-.77,.17-1.03-.8-1.19-1M .35-1.6-7.2-3.04-14.43-4.4-21.68-.27-1.38-.51-2.77-.81-4.14-.55-.57-1.46,.17-1.96,.49-3.27,2.4-6.36,5.03-9.75,7.27-1.9,.55-1.61-3.22-1.96-4.31-1.95-8.8-2.72-17.75-4.26-26.58-.08-.27-.66-.53-.94-.42-.24,.09-.51,.15-.71,.28-3.14,1.9-6.78,3.08-10.25,4.51-.41,.15-1.14,.25-1.43-.08-1.01-2.3-.97-4.86-1.4-7.3-1.42-9.18-1.88-18.46-2.97-27.68-.29-1.73-2.42-.75-3.55-.49-3.87,.82-7.64,2.38-11.58,2.74l.14,.08c-.64-14.25-2.44-28.47-2.44-42.75l-.09,.07Z"/><path class="cls-2" d="M194.49,1200.08c19.59-.23,39.32,.32,58.96-.25,5.19-M .09,5.05-.3,2.78,3.32-2.94,4.84-6.18,9.53-8.95,14.47-.23,1.29,2.14,.59,2.9,.74,3.1-.11,6.19-.21,9.29-.38,12.89-.76,25.82-1.27,38.67-2.42,1.31-.11,2.65-.35,4.06,.02-.14,1.37-1.38,2.28-2.11,3.4-3.34,4.3-6.69,8.59-10.03,12.89-.42,.55-.79,1.12-1.17,1.69-.13,.19,.34,.69,.64,.68,13.4-.68,26.76-2.38,40.1-3.8,2.66-.3,5.34-.52,8.01-.77,.43-.04,.48,.41,.42,.72-4.93,5.94-10.39,11.53-15.5,17.34-.46,.51-1.05,.99-.92,1.74,14.79-1.07,29.49-4.03,44.24-5.65,1.48,.34-.13,1.37-.78,2.2-5.29,5.31-10.6,10.6-15.89,15.91-.94,1.21-4.53,3.6M 3-.68,3.11,12.98-1.81,25.91-3.96,38.84-6.08,.2,0,.74,.33,.49,.62-6.83,6.86-14.09,13.31-21.08,20.02-.45,.54-3.06,2.49-1.6,2.72,12.29-1.88,24.54-3.99,36.81-5.96,.55-.08,1.04,.21,.55,.75-8.17,7.49-16.6,14.71-24.86,22.1-.81,.72-1.61,1.44-2.38,2.19-.12,.12-.06,.39-.02,.58,.83,.33,2.22-.08,3.15-.11,4.9-.73,9.79-1.47,14.68-2.24,5.62-.66,11.42-2.33,16.98-2.51,.13,.91-1.07,1.46-1.69,2.04-9.37,8.04-18.75,16.07-28.13,24.1-.73,.63-1.44,1.28-2.11,1.95-.12,.12,.01,.39,.04,.67,10.55-.81,20.9-3.02,31.46-3.85,0,.32,.11,.6-.02,.71-.M 87,.82-1.76,1.63-2.7,2.4-10.58,8.76-21.16,17.51-31.74,26.26-.84,.7-1.67,1.4-2.47,2.13-.14,.12-.17,.43-.08,.57,.7,.5,1.83,.14,2.66,.16,4.15-.36,8.3-.73,12.45-1.09,4.28-.38,8.57-.76,12.85-1.14,.36-.03,.81-.13,.97,.25,.15,.35-.15,.62-.42,.85-.83,.7-1.68,1.4-2.53,2.09-13.61,10.89-27.14,21.9-40.81,32.73-.9,.78-2.27,.63-3.42,.66-7.14,0-14.28,.02-21.43,.02-5.03,.24-1.35-1.89,.44-3.41,5.6-4.51,11.21-9.02,16.8-13.53,5.78-4.67,11.54-9.36,17.31-14.04,1.75-1.48,4.74-3.28,.22-2.82-8.92,.76-17.73,1.29-26.68,1.94,.07-1.5,1.76-2.0M 9,2.7-3.08,9.7-8.08,19.41-16.16,29.11-24.25,1.65-1.54,4.67-3.33,.11-2.83-9.2,1.06-18.39,2.14-27.59,3.15-.57,0-1.39,.16-1.87-.18-.06-.09-.13-.25-.08-.31,.57-.59,1.13-1.19,1.76-1.74,8.47-7.39,16.94-14.76,25.41-22.15,.65-.71,3.52-2.74,.98-2.52-11.17,1.4-22.23,3.61-33.46,4.36-1.1-.07-.21-1.11,.21-1.46,7.18-6.57,14.39-13.12,21.56-19.7,.64-.78,4.21-3.36,1.45-3.03-7.96,1.09-15.92,2.19-23.89,3.27-4.39,.5-8.76,1.36-13.18,1.52-1.51-.16,.44-1.72,.86-2.23,5.77-5.69,11.56-11.37,17.33-17.05,2.45-2.42,2.89-3-1.09-2.57-12.89,1.79-M 25.77,3.51-38.74,4.64-.2-.01-.75-.35-.58-.65,.77-.88,1.54-1.77,2.34-2.63,4.73-5.11,9.48-10.2,14.21-15.31,.32-.5,1.21-1.1,1.07-1.65-.16-.14-.38-.37-.55-.36-3.88,.38-7.75,.8-11.62,1.19-9.09,.92-18.17,1.87-27.27,2.68-2.14,.19-4.29,.34-6.43,.5-.41,.03-.8-.02-1.01-.34-.22-.34,.04-.62,.25-.88,4.59-5.95,9.7-11.56,13.94-17.76,.06-.1-.21-.47-.34-.47-4.17-.15-8.31,.42-12.47,.65-12.99,.88-26.06,2.03-39.07,2.11-.97-.52,.36-1.59,.55-2.26,3-4.7,6.03-9.39,9.03-14.08,.43-.67,.79-1.36,1.11-2.07,.06-.13-.18-.47-.35-.51-3.46-.36-7,.0M 9-10.48,.05-15.88,.33-31.8,.8-47.67,.27-.79-.37-.06-1.41,.09-2.01,2.25-5.07,4.52-10.14,6.76-15.21,.26-.59,.77-1.16,.44-1.85l-.13,.07Z"/><path class="cls-2" d="M977.09,735.15l-.08-.07h.03s.03,.05,.05,.07Z"/><path class="cls-2" d="M991.33,736.17c-1.8,.54-4.36-.36-6.3-.39l1.62-7.33c1.55,2.27,3.23,4.49,4.64,6.83,.15,.26,.22,.72,.04,.89Z"/><path class="cls-2" d="M994.51,719.14c-.15,.13-.5,.19-.73,.16-1.64-.24-3.28-.54-4.93-.76l1.35-6.11c1.46,2.04,3.11,3.99,4.4,6.13,.09,.16,.05,.46-.09,.58Z"/><path class="cls-2" d="M999.M 36,703.73c-.65,.29-1.16,.18-1.68,.06-1.76-.41-3.53-.79-5.31-1.13l1.44-6.51c1.86,2.48,4.17,4.84,5.55,7.58Z"/><path class="cls-2" d="M1005.35,689.83c-3.14,.17-6.56-1.37-9.72-1.86l1.91-8.63c2.41,3.02,4.83,6.03,7.24,9.05,.35,.44,.74,.87,.57,1.44Z"/><path class="cls-2" d="M1005.35,689.83s.05-.01,.08-.02l-.09,.06s.01-.03,.01-.04Z"/><path class="cls-2" d="M1026.35,667.9s.01-.03,.02-.05c.02,0,.04,0,.06-.01l-.08,.06Z"/><path class="cls-2" d="M1385.44,784.4c.18,3.28-1.51,1.54-3.14,.2-17.09-14.29-34.28-28.35-52.11-41.97-8.37-M 6.41-16.88-12.69-25.34-19.03-.71-.45-1.39-1.22-2.32-1.03-.3,.24-.19,.85-.2,1.2,.68,5.14,1.49,10.27,2.19,15.41,.55,4.13-2.06,1.14-3.72,.05-21.63-16.3-43.93-33.26-67.05-47.46-.1,.03-.22,.15-.22,.22,.02,.53-.03,1.08,.11,1.59,1.14,4.42,2.32,8.85,3.48,13.27,.25,.73,.4,1.44,.12,2.19-.95-.03-1.65-.49-2.36-1.05-18.89-12.68-38.07-26.51-58.21-37.21-.16,.1-.24,.39-.18,.57,1.49,4.48,3.26,8.88,4.85,13.33,.23,.61,.36,1.25,.51,1.88,.02,.41-.56,.37-.84,.34-16.62-10.21-33.45-20.75-50.96-29.6-.19-.1-.57,.1-.55,.28,2.01,4.82,4.44,9.4M 7,6.6,14.22,.07,.23-.02,.75-.36,.73-13.81-7.05-27.11-14.95-41.22-21.56-1.13-.47-2.19-1.34-3.48-1.12,.06,.31,.04,.64,.2,.91,2.5,4.36,5.03,8.71,7.55,13.06h.02s-.03,.02-.04,.02h-.01c-.1,.04-.19,.07-.3,.1h-.01c-1.5,.25-2.87-1.07-4.22-1.56-11.23-5.28-22.43-11.55-34.26-15.55-.37,0-.35,.4,.12,1.14,1.86,2.86,3.72,5.74,5.61,8.58,1.9,2.95,2.26,3.8,1.78,3.78-1.68-.07-2.88-1.01-4.26-1.6-8.52-3.7-17.06-7.36-25.85-10.64-4.52-1.82-2.8-.03-1.06,2.58,2.18,3.22,4.81,6.18,6.69,9.57,.01,.14-.37,.38-.53,.33-.74-.23-1.49-.46-2.21-.74-7.M 96-3.16-16.08-6.1-24.32-8.7-.48-.11-1.06-.46-1.48-.1-.45,.38,.03,.78,.3,1.12,.94,1.18,1.9,2.35,2.82,3.54,2.76,3.57,5.51,7.15,8.26,10.73,.34,.45,.74,.87,.53,1.43-.67,.17-1.27-.02-1.88-.21-4.23-1.36-8.44-2.75-12.69-4.07-3-.94-6.04-1.79-9.08-2.64-.3-.08-.71,.09-1.09,.14,3.57,5.38,8.08,10.16,11.96,15.35,.22,.39,.82,.99,.68,1.42-1.22,.45-2.5-.49-3.74-.67-3.92-1.08-7.86-2.16-11.79-3.23l5.82-26.26c2.45,.49,5.15,1.99,7.58,1.85,.18-.45-.64-1.21-.9-1.66-1.75-2.17-3.52-4.32-5.29-6.48l.78-3.48c4.97,1.37,9.85,2.92,14.69,4.55,3.M 35,1.12,6.68,2.28,10.03,3.4,.21,.07,.57,.03,.75-.07,.13-.08,.2-.39,.11-.52-2.75-4.13-6.15-7.8-8.94-11.9,.74-.37,1.25-.18,1.94,.07,6.58,2.21,13.14,4.46,19.55,6.98,3.98,1.57,7.98,3.12,11.98,4.65,.18,.07,.56,.01,.7-.1,.14-.11,.21-.41,.12-.55-.79-1.25-1.6-2.49-2.44-3.71-1.64-2.76-4.48-5.65-5.53-8.54,.13-.25,.37-.33,.67-.21,4.83,1.91,9.72,3.72,14.46,5.75,8.13,3.33,16.1,7.05,24.08,10.54,.16-.19,.44-.38,.4-.5-.24-.61-.51-1.21-.85-1.79-1.95-3.31-3.93-6.61-5.89-9.92-.29-.49-.5-.99-.73-1.5-.04-.07,.02-.24,.09-.26,.22-.07,.54M -.19,.7-.12,2.27,.94,4.55,1.88,6.77,2.89,13.07,5.7,25.59,12.59,38.3,18.53,.14-.16,.36-.39,.3-.52-1.69-3.51-3.42-7.01-5.13-10.52-.58-1.2-1.09-2.42-1.62-3.64,0-.15,.33-.4,.5-.34,6.56,2.79,12.76,6.43,19.13,9.63,10.46,5.51,20.7,11.28,30.84,17.16,.88,.5,1.76,.99,2.67,1.45,.14,.07,.44-.03,.64-.1,.36-.42-.25-1.34-.33-1.85-1.64-4.32-3.31-8.64-4.95-12.97-.15-.39-.26-.81,.22-1.15,21.22,11,41.17,24.14,61.3,36.87,.51,.12,1.35,.45,1.24-.44-.37-1.48-.77-2.95-1.15-4.43-1.02-3.9-2.03-7.79-3.02-11.7-.04-.27,.2-.78,.57-.65,24.73,14.M 98,48.64,31.69,72.17,48.28,.14,.04,.56-.12,.61-.29,.06-.2,.12-.42,.09-.63-.59-4.17-1.19-8.34-1.77-12.51,.05-1.23-1.62-6.89,.75-5.25,29,20.01,57.33,40.96,84.58,63.1,.25,6.42,.04,12.89,.11,19.32Z"/><path class="cls-2" d="M968.42,619.24l-.98,4.39c-3.78-4.08-7.59-6.05,.98-4.39Z"/><path class="cls-2" d="M962.91,639.89c.23,.31,.47,.62,.73,.92h0l-2.7,12.14c-6.81-.99-3.76,.71-.88,4l-2.32,10.43c-7.52-.76-4.22,.73-1,4.52l-2.4,10.83c-1.29,.01-2.58,.04-3.87,.1,0,0-.24-.16-.25-.16-14.8-17.61-21.55-14.75,.55-15.69,1.33-.48-.55-1M .74-.95-2.34-3.71-3.69-7.43-7.38-11.14-11.07-.2-.25-.64-.9-.31-1.13,4.88-.65,9.96-.19,14.89-.08,1.57,.23,2.24-.57,.81-1.62-3.93-3.98-7.92-7.93-12.01-11.77-.33-.23-.84-1.01-.48-1.13,1.64-.51,3.42-.01,5.12,0,4.16,.29,8.34,.36,12.47,.89,.5,.03,1.52,.11,1.44-.6-3.12-3.56-6.76-6.7-10.07-10.08-.14-.14-.08-.41-.06-.62,0-.05,.21-.1,.34-.13,5.15,.2,10.31,1.1,15.42,1.75l-2.3,10.4c-.35,0-1.29-.15-1.03,.44Z"/><path class="cls-2" d="M1022.03,631.34h0s.03-.02,.04-.03l.06,.07s-.06-.03-.09-.04Z"/><path class="cls-2" d="M1385.42,74M 0.38c.12,3.11-2.27,.7-3.56-.18-27.56-20.56-55.39-40.79-84.61-59.04-.08-.05-.58,.16-.58,.26,.17,5.71,1.5,11.33,2.16,17,.28,2.31-1,1.47-2.3,.65-23.16-15.75-46.6-30.69-70.97-44.92-.73-.29-2.05-1.56-2.44-.43,1.33,5.5,2.85,10.96,4.29,16.43-.41,1.4-2.59-.67-3.38-.98-19.39-11.69-38.88-22.9-59.05-33.39-.67-.3-1.33-.89-2.11-.55-.1,.03-.22,.19-.2,.26,.27,.83,.55,1.66,.86,2.49,1.62,4.21,3.26,8.43,4.87,12.64,.03,.08-.03,.25-.11,.27-.22,.08-.52,.21-.69,.14-2.35-.97-4.51-2.35-6.76-3.52-15.44-8.25-31.18-16.28-47.38-23.45-.17,.25-M .43,.44-.39,.57,.24,.73,.51,1.45,.86,2.14,1.65,3.3,3.34,6.59,5,9.88,.3,.6,.54,1.22,.79,1.83,.03,.08-.03,.25-.1,.27-.97,.42-1.89-.52-2.79-.81-14.24-6.72-28.65-13.46-43.58-19.04-.16-.05-.46,.12-.65,.23-.17,.5,.63,1.53,.87,2.07,8.06,13.76,10.66,13.32-5.27,6.79-8.29-3.37-16.7-6.51-25.22-9.49-1.07-.23-2.22-1.15-3.31-.8-.16,.1-.27,.4-.19,.53,.6,.96,1.22,1.92,1.89,2.85,1.81,2.51,3.66,5.02,5.48,7.53,.33,.46,.58,.97,.84,1.46,.03,.06-.04,.19-.12,.26-.43,.28-1.04-.02-1.49-.11-2.59-.91-5.17-1.84-7.74-2.77-7.73-2.8-15.63-5.27-2M 3.59-7.62-.61-.09-1.3-.52-1.88-.22-.21,.1-.27,.36-.14,.54,3.13,3.68,6.02,7.68,9.29,11.19-.42,.26-.91,.47-1.43,.35-3.95-.98-7.81-2.31-11.74-3.37l4.26-19.2c6.91,1.92,13.74,3.98,20.51,6.19,1.37,.37,2.44,1.07,3.93,.65-2.36-3.65-5.06-6.88-7.6-10.38-.34-.45-.6-.94-.87-1.43-.05-.07,0-.21,.06-.29,.48-.4,1.66,.16,2.25,.24,12.56,3.9,24.94,8.11,37.07,12.79,4.41,1.91,1.02-2.1,.12-3.75-1.84-2.87-3.81-5.66-5.41-8.66-.2-.37,.51-.49,.71-.47,15.99,5.66,31.93,11.65,47.02,19.08,.01,0,.03,.01,.04,.02,.06-.07,.12-.13,.17-.19-.07,.05-.1M 4,.11-.21,.17,1.23-1.22-.38-2.66-.82-3.9-1.65-3.18-3.32-6.35-4.96-9.54-.17-.42-.59-1.24-.19-1.51,17.96,6.58,35.43,15.51,52.51,23.84,1.29,.51,5,3.1,3.59-.21-1.6-4-3.21-7.99-4.79-11.99-.16-.68-.8-1.53-.09-2.07,22.57,9.69,43.65,22.49,65.35,33.82,2.05,1.03-3-13.24-3.13-14.8-.17-.62-.2-1.27-.27-1.91-.01-.1,.08-.27,.16-.28,.23-.06,.56-.14,.73-.06,1.15,.56,2.28,1.14,3.39,1.75,24.93,13.49,48.73,28.23,72.7,43.1,.84,.13,.82-.9,.78-1.48-.44-3.43-.91-6.86-1.37-10.28-.29-2.14-.6-4.28-.88-6.42-.04-.54,.69-.65,1.07-.46,31.04,18.7M 3,61.29,38.77,90.56,59.96,.35,6.56,.08,13.16,.18,19.73Z"/><path class="cls-2" d="M373.74,839.15c-.7,.2-1.31-.01-1.93-.24-4.64-1.73-9.3-3.42-13.91-5.19-9.6-3.68-19.06-7.57-28.37-11.69-1.06-.47-2.14-.91-3.23-1.32-.16-.06-.46,.08-.68,.16-.08,.03-.14,.19-.11,.27,.32,.71,.64,1.41,.99,2.11,1.93,3.79,3.87,7.57,5.78,11.36,.07,.14-.14,.38-.26,.55-19.01-6.89-37.22-16.52-55.38-25.11-.15-.06-.46,.06-.66,.14-.33,.33,.09,1.11,.18,1.53,1.65,4.1,3.31,8.19,4.96,12.29,.1,.44,.52,1.21,.18,1.53-.21,.08-.47,.18-.67,.14-1.48-.44-2.83-1.M 24-4.23-1.87-19.69-9.53-38.77-19.66-57.71-30.39-1.35-.59-4.25-2.87-3.32,.43,1.17,4.2,2.35,8.4,3.52,12.61,.08,.83,.85,2.11,.1,2.72-17.63-8.61-34.77-19.33-51.62-29.32-7.49-4.59-14.88-9.27-22.33-13.9-1.1-.49-2.12-1.77-3.39-1.44-.31,2.06,.39,4.06,.64,6.09,.39,4.15,1.54,8.32,1.58,12.45-.69,.21-1.16,0-1.59-.27-16.39-9.9-32.57-20.24-48.43-30.75-13.25-8.83-26.35-17.8-39.19-27.02-.94-.79-2.52-1.38-2.6-2.74-.12-6.25-.02-12.5-.05-18.74-.13-2.89,2.13-.86,3.32,.01,27.44,20.62,55.51,40.46,84.62,59.1,.95,.58,1.24-.77,1-1.46-.74-5M .57-1.53-11.13-2.3-16.7-.02-.19,.13-.56,.2-.56,20.31,12.19,40.11,26.47,61.08,38.54,3.98,2.4,8.01,4.75,12.03,7.11,.64,.37,1.22,.86,2.12,.79,.29-.53,.12-1.05-.03-1.58-1.17-4.2-2.34-8.41-3.48-12.61-.26-.94-.43-1.9-.61-2.85-.02-.09,.08-.22,.18-.28,.79-.12,1.69,.66,2.41,.95,7.15,4.23,14.24,8.52,21.44,12.69,12.44,7.21,25.11,14.15,37.99,20.85,.78,.29,1.56,1.09,2.42,.66,.08-.03,.14-.19,.11-.28-.18-.63-.36-1.26-.6-1.87-1.61-4.11-3.23-8.21-4.85-12.32-.16-.4-.45-.8-.14-1.27,1.23-.14,2.83,1.19,4.01,1.67,16.28,8.83,33.08,17.26,M 50.07,24.93,.58,.14,1.42,.27,.93-.77-2.08-4.56-4.81-8.84-6.63-13.51,.32-.86,2.07,.4,2.68,.55,10.19,4.84,20.48,9.54,30.98,13.95,3.81,1.6,7.66,3.15,11.5,4.71,.53,.11,1.76,.81,2,.04-1.88-3.85-4.48-7.34-6.63-11.05-.35-.58-.61-1.19-.88-1.8,0-.14,.36-.4,.51-.38,12.74,4.88,25.27,10.18,38.26,14.56,.46,.16,1.01,.15,1.53,.2,.07,0,.25-.16,.24-.2-.17-.4-.31-.83-.57-1.19-2.45-3.69-5.58-7.11-7.71-10.96-.01-.17,.29-.42,.46-.42,2.05,.4,3.98,1.32,5.96,1.96,8.57,3.15,17.33,5.92,26.17,8.55,.73,.11,1.59,.58,2.28,.33,.09-.17,.22-.42,.1M 3-.54-2.87-3.88-6.37-7.38-8.97-11.42,.58-.36,1.1-.27,1.61-.12,4.55,1.33,9.09,2.7,13.66,3.98,4.32,1.2,8.69,2.3,13.04,3.43,.47,.06,1.11,.26,1.55-.03,.06-.05,.1-.19,.06-.25-.39-.56-.75-1.14-1.2-1.66-2.46-2.83-4.94-5.65-7.41-8.47-.37-.42-.82-.82-.75-1.44,6.66,1.02,14.08,3.3,20.94,4.57,1.36,.18,3.44,.92,4.68,.71,.09-.16,.23-.41,.14-.53-3.07-3.71-6.71-6.97-9.76-10.7-.11-.14-.04-.38,.01-.56,.01-.05,.24-.11,.36-.1,7.09,.91,14.17,3.11,21.37,3.11,.28-.98-.86-1.51-1.37-2.23-3.56-3.79-7.13-7.57-10.69-11.36-1.73-1.85-.9-1.92,1.M 11-1.62,5.54,.71,11.13,1.89,16.75,1.82,.83-.43-.17-1.11-.5-1.57-3.99-4.47-8.41-8.63-12.17-13.29-.11-.27-.02-.75,.41-.69,5.35,.31,10.7,1.41,16.06,1.07,.89-.52-.66-1.56-.99-2.13-3.81-4.43-8.22-8.45-11.69-13.14-.01-.17,.46-.63,.76-.53,4.96,.51,9.95,.34,14.93,.41l-.1-.06c4.4,4.76,8.98,9.41,13.67,13.99,1.68,1.91-6.07,1.27-7.05,1.52-2.29,.08-4.57,.13-6.86,.2-1.48,.37,.74,1.96,1.14,2.56,3.78,3.79,7.57,7.56,11.36,11.34,.44,.71-.56,.9-1.07,.91-3.9,.02-7.81,.19-11.71-.05-3.37-.12-3.87-.08-3.78,.34,.22,1.01,1.18,1.63,1.92,2.3M 6,3.48,3.43,6.99,6.83,10.49,10.25,.35,.42,1.27,1.11,.62,1.58-5.34,.02-10.76-.38-16.08-.9-.77-.05-3.76-.51-2.48,.99,3.18,3.21,6.49,6.32,9.71,9.5,.15,.14,.2,.43,.12,.6-.15,.19-.68,.35-.99,.28-5.74-.59-11.47-1.25-17.15-2.15-1.27-.1-2.73-.47-3.95-.25-.06,.19-.17,.46-.06,.59,2.8,3.53,6.82,6.5,9.37,10.02-.13,.15-.32,.38-.5,.39-2.53-.02-5.06-.6-7.55-.98-5.5-1.04-10.98-2.12-16.47-3.2-.51-.1-1-.34-1.5,.02,1.95,3.37,5.3,5.91,7.78,8.96,.55,.6,1.04,1.24,1.53,1.87,.06,.07,.02,.23-.05,.31-.94,.31-2.13-.15-3.12-.23-7.44-1.49-14.7M 8-3.26-22.05-5.22-1.75-.27-3.64-1.42-5.38-.83,.3,0,.37-.08,.23-.23l-.13,.21c2.64,3.86,6,7.38,8.85,11.14,.06,.07,.03,.23-.03,.31-.65,.34-1.95-.12-2.69-.21-9.85-2.56-19.59-5.36-29.18-8.48-1.07-.28-2.26-1.01-3.37-.7-.45,.2-.17,.57,.01,.82,2.68,3.8,5.86,7.51,8.21,11.43-.59,.42-1.21,.12-1.82-.07-8.63-2.73-17.29-5.38-25.71-8.51-4.15-1.54-8.3-3.07-12.45-4.59-.46-.17-1.01-.57-1.45-.26-.66,.47,0,.98,.23,1.43,.35,.7,.83,1.35,1.26,2.02,1.9,2.96,3.95,5.85,5.69,8.9,.15,.26,.03,.62,.04,.93l.08-.07Z"/><path class="cls-2" d="M410.M 06,775.21c.69-.15,1.32,.03,1.95,.23,4.24,1.37,8.47,2.76,12.74,4.08,3.01,.93,6.06,1.77,9.11,2.62,.28,.08,.68-.1,1.22-.2-4.2-5.64-8.97-10.71-12.82-16.53-.03-.17,.3-.41,.47-.38,5.76,1.45,11.44,3.15,17.18,4.67,3.01,.51,5.56,2.01,2.29-1.95-3.4-4.26-6.83-8.52-10.23-12.78-.42-.53-1.01-1.03-.87-1.75l-.11,.05c.8-.33,1.58-.08,2.34,.09,4.14,.93,8.26,1.89,12.4,2.82,1.39,.16,2.89,.91,4.25,.46,0-.69-.55-1.19-.98-1.73-3.87-5.23-8.53-10.04-11.86-15.6,.64-.28,1.15-.17,1.67-.05,4.78,1.1,9.62,2,14.53,2.65,.26,0,.91-.02,.85-.41-.33-.5M 8-.64-1.17-1.04-1.71-3.65-5.02-7.51-9.9-11.04-15-.49-.6,0-1.13,.7-1,5.01,.74,10.02,1.52,15.03,2.27l-.04-.02c4.11,5.3,8.22,10.61,12.33,15.92,3.7,3.88-12.92-.19-14.32,.59-.08,.7,.45,1.21,.89,1.75,3.62,4.41,7.24,8.81,10.86,13.22,.44,.69,1.32,1.14,.93,2.07-22.1-1.73-20.42-6.68-5.46,11.88,.6,.7,1.17,1.43,1.73,2.16,.05,.07,0,.22-.08,.31-.06,.08-.2,.17-.3,.16-1.46-.13-2.94-.21-4.37-.44-4.08-.67-8.19-1.27-12.2-2.2-2.34-.28-2.45-.08-1.05,1.78,3.21,3.72,6.44,7.43,9.66,11.15,.69,.8,1.34,1.61,1.99,2.42,.18,.3-.36,.64-.56,.66-6M .61-.72-13.09-2.48-19.49-4.05-1.74-.55-1.94-.04-.88,1.33,3.99,4.73,8.05,9.41,12.02,14.15,.11,.13,.1,.46-.02,.55-.16,.12-.51,.19-.74,.14-7.9-1.77-15.66-3.78-23.37-6.14-.69-.16-1.35,.26-.7,.87,2.97,3.72,5.98,7.42,9,11.1,.19,.23,.13,.42-.14,.52-3.41-.48-6.89-1.8-10.25-2.71-6.26-1.78-12.38-4.51-18.67-5.91-.3,0-.35,.46-.09,.84,2.69,3.93,6.24,7.58,8.59,11.6-.72,.46-1.48-.02-2.21-.22-10.08-3.32-19.94-7.03-29.69-10.93-.71-.24-1.42-.76-2.18-.39,1.76,4.04,5.19,7.75,7.59,11.62,.25,.36,.36,.78,.5,1.18,.02,.05-.19,.21-.28,.2-4.M 97-1.24-9.71-3.67-14.49-5.5-7.35-3.15-14.63-6.41-21.93-9.64-.81-.36-1.73-.62-2.22-1.33-.06,.07-.13,.13-.19,.2l.23-.18c-1.29,1.34,.69,2.85,1.19,4.14,1.84,3.23,3.89,6.37,5.62,9.66,.06,.17-.01,.46-.17,.57-15.64-5.66-30.38-14.19-45.4-21.41-.7,.57-.21,1.12,.03,1.77,1.82,3.71,3.67,7.41,5.48,11.12,.29,.59,.48,1.22,.68,1.84,.02,.07-.12,.2-.22,.26-10.63-4.16-20.73-10.47-30.86-15.74-7.34-3.99-14.45-8.35-21.85-12.2-.37-.19-.68,.25-.68,.52,1.42,4.84,3.6,9.47,5.29,14.22,.09,.39,.39,.93,0,1.21-14.18-6.82-27.63-15.79-41.1-23.83-6M .49-4.04-12.89-8.16-19.33-12.24-.63-.34-1.23-.98-2.01-.71,.62,5.55,3.27,11.33,4.06,17.03,0,.2-.43,.38-.6,.3-24.22-14.59-47.35-30.71-70.33-47.07-.62-.39-1.21-1.02-2.02-.79-.07,.01-.16,.18-.15,.27,.07,1.18,.09,2.36,.24,3.53,.53,3.96,1.09,7.92,1.67,11.88,.43,2.67,.43,3.05-.04,3.01-28.94-18.59-56.5-40.37-83.46-61.43-2.72-2.16-2.34-1.7-2.36-4.49,.06-6.13-.27-12.3,.05-18.4,.98-.44,1.79,.66,2.55,1.14,22.36,18.63,44.81,36.76,68.34,54.15,3.16,2.35,6.31,4.7,9.47,7.04,.58,.32,2.42,2.01,2.78,.87-.31-5.93-1.49-11.77-2.26-17.66-M .09-1.94,2.33,.25,2.95,.68,21.83,16.44,44.35,33.51,67.69,47.88,.63-.34,.25-1.21,.17-1.77-.9-3.37-1.82-6.74-2.72-10.1-.35-1.78-1.3-3.55-.93-5.37,.77-.14,1.25,.28,1.75,.62,3.89,2.66,7.77,5.34,11.68,7.98,15.32,10,30.67,20.89,46.92,29.51,.1-.04,.23-.18,.21-.25-.12-.63-.2-1.27-.42-1.88-1.33-3.62-2.69-7.22-4.04-10.83-.35-.93-.69-1.86-.98-2.8,0-.23,.37-.67,.71-.47,16.6,10.08,33.31,20.48,50.68,29.41,.21,.06,.83-.06,.8-.39-.12-.42-.23-.84-.42-1.23-1.81-3.83-3.63-7.65-5.44-11.48-.23-.5-.37-1.02-.52-1.54-.02-.08,.09-.21,.18-.M 28,.07-.05,.24-.09,.31-.06,.92,.43,1.87,.84,2.74,1.33,13.52,7.51,27.24,14.98,41.35,21.45,.15-.28,.38-.5,.31-.64-.44-.9-.92-1.79-1.42-2.67-1.98-3.53-3.98-7.06-5.95-10.61-.07-.13,.11-.38,.22-.55,.97-.06,1.92,.73,2.82,1.08,11.36,5.97,23.5,10.92,35.08,16.6,0,0,.03-.17,.03-.17l-.14,.12c1.09-.92-.15-2.02-.62-2.93-1.92-2.95-3.87-5.9-5.79-8.85-.37-.57-.66-1.17-.98-1.76-.04-.07,.02-.25,.08-.26,.65-.3,1.21,.05,1.8,.3,6.04,2.58,12.06,5.21,18.14,7.73,19.83,7.84,13.67,6.14,4.72-7.9-.09-.13,.08-.38,.18-.56,.03-.05,.25-.08,.34-.0M 5,8.29,3.08,16.47,6.3,25,8.93,.96,.18,2,.92,2.95,.44-3.33-5.41-8.04-10.41-11.84-15.66-.29-.38-.48-.76-.32-1.21l-.09,.08Z"/><path class="cls-2" d="M495,950.32c2.65,3.91,5.62,7.63,7.98,11.73l.16-.1c-16.27,1.16-32.58,.19-48.83,.15-.16,.03-.38,.36-.33,.5,1.61,4.03,4.46,7.53,6.03,11.59-.12,.86-1.71,.5-2.36,.59-9.01-.32-18.03-.69-27.02-1.35-9.13-.57-18.19-1.83-27.28-2.49-.9,.1-.71,1-.47,1.59,1.85,4.27,3.71,8.53,5.57,12.8l.1-.09c-22.82-1.96-45.44-5.55-67.99-9.4-.91-.03-.8,.94-.64,1.54,1.32,4.28,2.8,8.51,3.81,12.87,.11,.43M ,.03,.85-.51,1.25-26.41-4-52.51-9.82-78.38-16.23-.63-.09-1.73-.5-2.11,.17,.15,1.28,.31,2.56,.55,3.83,.97,4.36,1.34,8.73,1.18,13.18l.13-.12c-32.19-7.52-63.78-16.33-95.01-26.26-1.3-.38-1.37,.86-1.3,1.75-.03,5.45,.62,11.06-.15,16.44-1.09,.81-2.92-.31-4.07-.55-37.23-11.25-73.91-24.1-110.08-38.08-.74-.32-1.24-.77-1.23-1.53,.03-1.72-.01-3.45-.01-5.17,.06-5.04-.17-10.12,.1-15.15,.94-.45,1.81,.16,2.69,.44,35.81,14.47,71.63,28.14,108.55,40.06,1.04,.12,3.77,1.84,3.98,.09-.62-5.9-1.28-11.8-1.91-17.7-.04-.41,.61-.82,1.07-.68,3M 0.47,10.39,61.22,19.93,92.54,27.96,.66,.22,2.22,.6,2.23-.41-.33-1.7-.66-3.4-1.03-5.09-.07-1.54-3.45-11.73-1.51-11.46,25.1,6.65,50.32,12.95,75.9,17.83,.91,.18,1.85,.29,2.78,.42,1.07,0,.64-1.22,.47-1.87-1.43-4.26-2.88-8.52-4.32-12.78-.21-.61,.34-1.1,1.06-.97,21.34,4.25,42.79,8.17,64.43,10.75,1.67,.15,2.04-.15,1.52-1.34-1.72-4.21-4-8.2-5.48-12.5,.51-.08,.91-.24,1.27-.2,5.85,.74,11.69,1.55,17.56,2.23,12.3,1.29,24.63,2.56,36.96,3.13,1.07,.08,1.31-.56,.89-1.27-1.93-3.32-3.9-6.62-5.75-9.97-1.4-2.48,4.33-1.06,5.55-1.22,14.M 22,1.21,28.53,1.3,42.81,1.15l-.09-.06Z"/><path class="cls-2" d="M1190.65,224.39c-18.63,.68-37.07,1.81-55.69,3.23-.13-1.59,1.21-2.37,1.98-3.58,3.41-4.39,6.83-8.78,10.23-13.18,.42-.55,.79-1.12,1.17-1.69,.14-.2-.35-.68-.67-.66-14.87,1.1-29.68,2.83-44.52,4.35-.67,.07-1.33,.2-1.99,.26-.74,.06-1.74,.54-2.16-.1-.39-.6,.49-1.16,.95-1.67,4.63-5.16,9.29-10.31,13.93-15.48,.34-.56,2.1-1.97,1.18-2.36-14.92,1.03-29.73,4.04-44.61,5.64-.21-1.1,1.07-1.74,1.67-2.54,5.29-5.31,10.6-10.61,15.89-15.91,.64-.85,2.18-1.67,1.95-2.79-12.6,1.M 28-25.18,3.51-37.65,5.66-5.12,.95-3.25-.36-.68-2.87,6.27-5.92,12.56-11.82,18.83-17.74,.61-.57,1.16-1.18,1.72-1.79,.07-.07,.07-.25,0-.31-.15-.13-.39-.32-.55-.3-2.91,.43-5.82,.87-8.72,1.34-8.44,1.39-16.87,2.8-25.31,4.18-1.04,.17-2.1,.44-3.18,.13l.08,.08c0-.2-.12-.47,0-.6,.65-.68,1.34-1.35,2.06-1.99,7.95-7.04,15.9-14.07,23.85-21.1,.63-.52,1.28-.97,1.34-1.83-11.34,1.1-22.76,3.34-34.07,5.03-1.55,.09-.59-.77,0-1.42,10.19-8.92,20.68-17.54,30.83-26.5,.76-1.36-2.35-.63-3.02-.65-6.91,.92-13.81,1.87-20.71,2.8-2.39,.32-4.78,.6M 2-7.18,.9-.2,.02-.55-.11-.61-.24-.06-.92,1.47-1.59,2.04-2.25,10.58-8.76,21.16-17.51,31.74-26.27,3.65-2.97,5.33-3.99-.91-3.36-8.03,.68-16.07,1.37-24.11,1.98-.47,.03-.49-.52-.37-.7,4.02-3.52,8.29-6.77,12.42-10.17,9.79-7.86,19.6-15.72,29.4-23.58,2.63-2.11,2.11-1.87,5.62-1.87,7.75-.01,15.42,0,23.19,0,0,.4,.15,.79-.03,.96-.77,.74-1.63,1.43-2.48,2.12-11.37,9.19-22.75,18.38-34.12,27.58-.94,.76-1.82,1.58-2.69,2.4-.07,.06,.13,.4,.3,.5,9.45-.07,19.03-1.5,28.52-1.75,.02,.22,.15,.49,.03,.62-.57,.6-1.17,1.18-1.82,1.72-9.14,7.62M -18.3,15.23-27.44,22.85-1.68,1.4-3.32,2.82-4.95,4.26-.13,.12-.08,.4-.06,.59,.54,.26,1.35,.07,1.96,.07,6.26-.74,12.51-1.53,18.78-2.24,3.47-.39,6.95-.67,10.43-.98,.2-.02,.54,.11,.63,.25,.22,.84-1.13,1.46-1.61,2.06-3.83,3.33-7.67,6.66-11.49,9.99-5.01,4.37-10.01,8.74-15.01,13.11-.81,.56-1.27,1.54,.16,1.4,11.4-1.24,22.82-3.79,34.23-4.22,.5,.5-.93,1.43-1.29,1.85-5.96,5.42-11.93,10.84-17.87,16.27-1.86,1.7-3.66,3.45-5.46,5.19-.12,.12-.04,.39,.01,.58,.01,.06,.23,.1,.36,.11,10.38-.97,20.72-2.75,31.09-4.01,2.29-.17,4.84-1.05,M 7.06-.5,.07,.09,.14,.25,.09,.31-.46,.53-.92,1.06-1.43,1.56-5.77,5.69-11.56,11.37-17.33,17.06-.76,.75-1.5,1.52-2.2,2.31-.12,.13-.02,.4-.02,.64,9.74-.57,19.38-2.67,29.12-3.53,4.27-.46,8.54-.91,12.82-1.34,.17-.02,.4,.18,.55,.31,.06,.06,.05,.23-.01,.31-.51,.63-1,1.27-1.56,1.88-4.65,5.02-9.31,10.03-13.96,15.06-.72,.77-1.36,1.59-1.99,2.41-.06,.08,.2,.47,.31,.47,8.31-.17,16.53-1.84,24.83-2.38,6.96-.63,13.92-1.24,20.89-1.86,.56-.05,1,.13,.95,.37-.19,1.24-1.38,2.07-2.06,3.08-3.71,4.62-7.42,9.25-11.12,13.88-.72,1.03-2.31,2.5M 8,.14,2.4,16.89-1.22,33.83-2.68,50.76-2.94,.54,.25,.21,1-.08,1.39-3.81,5.94-7.63,11.88-11.44,17.81l.1-.06Z"/><path class="cls-2" d="M1091.83,420.99c26.96,2.92,53.78,7.54,80.34,12.8,1.05,.06,1.15-.95,1.41-1.68,1.1-4.1,2.18-8.21,3.28-12.32,.41-1.51,.84-1.71,2.84-1.35,1.31,.23,2.62,.48,3.93,.74,29.5,5.66,58.59,12.67,87.56,20.46,.34,.08,.92-.15,.98-.39,.25-1.05,.55-2.1,.72-3.17,.66-4.17,1.27-8.34,1.92-12.5,.21-.66,.22-1.8,1.11-1.89,36.82,9.24,73.52,19.99,109.19,32.58,.42,6.58,.04,13.19,.15,19.79-.04,.73-.02,1.88-1.09,1M .71-12.02-4.01-23.89-8.44-35.95-12.42-24.57-8.24-49.42-16.1-74.6-22.96-1.93-.46-1.55,2.12-1.96,3.28-.66,4.92-1.72,9.8-1.86,14.76l.13-.06c-30.73-8.71-61.71-17.02-93.09-23.57-2.6-.34-3.85-1.34-3.79,2.11-.07,4.41,.28,8.83-.09,13.23-.41,.82-1.75,.42-2.49,.33-3.12-.68-6.22-1.39-9.33-2.07-22.24-4.85-44.77-8.94-67.37-11.93-.87-.06-1.31,.62-1.22,1.33,.21,4.52,.13,9.05,.93,13.54l.12-.09c-20-2.58-40.03-5.45-60.18-6.86-2.27-.17-4.55-.22-6.83-.31-.49-.02-.98,.42-.97,.84-.03,4.46,1.57,8.74,3.16,12.89l.1-.09c-19.69-1.39-39.43-2.M 95-59.18-2.46-.27-4.03-2.12-7.93-2.34-11.96,.78-.57,1.62-.49,2.41-.52,18.16-.71,36.3,.11,54.44,.82,.52,.02,.99-.41,.93-.85-.25-4.28-1.65-8.55-1.07-12.83l-.13,.1c20.82,1.31,41.68,2.71,62.36,5.5,1.34-.1,6.07,1.47,6-.48-.11-4.72-.22-9.44-.33-14.15l-.13,.09Z"/><path class="cls-2" d="M136.7,235.45c.3-.5,.32-1.03,.29-1.58-.25-3.87-.51-7.74-.75-11.61-.36-5.91-.71-11.82-1.05-17.74-.24-3.14,1.52-1.37,3.05-.48,7.52,5.08,14.75,11.03,22.51,15.56,.26-.19,.61-.39,.55-.75-.37-12.24-1.26-24.55-1.11-36.77,.11-.44,.97-.37,1.34-.12,7M .72,4.07,15.13,8.76,22.97,12.57,1.12,.11,.73-1.74,.87-2.47-.04-5.27-.14-10.55-.15-15.82,.07-8.38-.17-16.78,.16-25.15,1.09-.4,2.07,.23,3.1,.52,4.37,1.67,8.73,3.36,13.08,5.05,.85,.33,1.67,.71,2.52,1.03,5.07,1.93,6.02,2.2,6.25,1.78,.89-1.63,.48-3.38,.56-5.07,.44-14.84,.97-29.72,2.1-44.51,.05-.25,.55-.59,.87-.55,1.06,.13,2.13,.22,3.17,.42,7.14,1.47,14.38,2.6,21.46,4.31,.45,1.12,.19,2.14,.15,3.29-.45,6.34-.95,12.68-1.36,19.02-.99,11.01-.68,22.67-2.28,33.5h0c-.18-.27-.28-.67-.56-.78-2.29-.92-4.59-1.8-6.92-2.66-5.42-1.95-M 10.74-4.03-16.21-5.85-.94,.94-.66,2.25-.74,3.47-.21,14.53-.15,29.08-.38,43.61-.01,.25-.62,.56-.88,.44-.82-.37-1.66-.71-2.43-1.13-6.13-3.33-12.24-6.68-18.36-10.01-.77-.24-2.41-1.72-2.98-.63,.34,11.51,.46,23.04,1.16,34.54,.14,2.03,.06,4.08,.05,6.12,0,.1-.46,.33-.58,.29-8.07-4.81-15.41-10.88-23.39-15.85-1.33-.42-1.01,1.02-1.08,1.84,.23,3.98,.4,7.96,.71,11.94,.47,7.1,.93,14.19,1.37,21.29,.02,.29-.18,.59-.32,.87-.03,.07-.3,.14-.36,.11-.53-.33-1.07-.65-1.53-1.03-5.65-4.62-11.27-9.26-16.93-13.88-2.07-1.69-3.96-3.52-6.32-4M .98-.12-.07-.56,.03-.69,.15-.39,.95-.04,2.17-.07,3.2,.67,9.14,1.36,18.27,2.19,27.4-.11,2.2-2.12-.11-2.96-.83-7.97-7.3-15.89-14.65-23.84-21.96-.44-.61-1.61-.58-1.48,.35,.41,7.75,1.2,15.47,1.75,23.21,.08,1.07,.07,2.15,.1,3.22,0,.28-.16,.42-.49,.4-9.66-8.58-18.42-18.56-27.77-27.62-.63-.52-1.12-1.44-2.07-1.25-.07,0-.19,.14-.19,.22,0,.86-.01,1.72,.04,2.57,.33,6.88,.96,13.76,1.15,20.65-.28,1.05-1.56-.24-1.95-.65-9.92-10.61-19.83-21.22-29.74-31.84-.88-.88-1.84-1.88-1.74-3.17,0-2.48-.06-4.95-.08-7.43-.02-3.45-.02-6.89,0-10M .34-.11-3.62,1.65-1.62,3.14-.14,9.35,9.17,18.37,18.67,27.9,27.65,.83,.57,1.09-.56,1.04-1.18-.1-2.48-.22-4.95-.33-7.43-.2-4.52-.4-9.04-.59-13.56,.03-.63-.15-1.41,.58-1.7,.07-.04,.27-.03,.34,.03,9.46,7.98,18.09,16.87,27.44,24.99,.11,.1,.47,.04,.7,.01,.32-.23,.25-.84,.28-1.2-.36-8.92-1.46-17.85-1.56-26.76,.96-.44,1.57,.42,2.29,.88,7.63,6.24,15.24,12.49,22.86,18.73,.69,.48,1.3,1.28,2.24,1.14l.04,.13-.13-.06Z"/><path class="cls-2" d="M1201.01,1273.6c5.12,1.91,10.24,3.83,15.37,5.73,2.69,1,5.39,1.97,8.08,2.95,.92,.34,1.49M ,.02,1.51-.87,.38-14.54,.29-29.08,.32-43.63-.14-3.81,.66-2.85,3.38-1.57,6.35,3.45,12.69,6.91,19.03,10.38,.65,.31,1.27,1.04,2.1,.6,.74-.39,.38-1.18,.38-1.79-.05-6.14-.45-12.28-.63-18.41-.01-6.89-.7-13.78-.74-20.66,.05-.33,.74-.35,.93-.28,7.61,4.89,14.89,10.28,22.39,15.35,.39,.27,.75,.62,1.34,.58,.38,0,.53-.46,.54-.75-.25-4.63-.5-9.25-.79-13.88-.41-6.56-.85-13.12-1.27-19.69,.08-.57-.29-1.63,.54-1.7,.92,.14,1.67,1.05,2.44,1.54,5.18,4.24,10.34,8.49,15.51,12.74,2.26,1.85,4.52,3.69,6.81,5.52,.12,.1,.48,.03,.71,0,.15-.08,M .25-.4,.25-.58-.22-3.55-.43-7.1-.67-10.65-.58-6.44-1.05-12.9-1.56-19.35-.08-1.84,1.07-1.02,1.94-.22,8.51,7.79,16.9,15.68,25.5,23.37,.13,.11,.5,.07,.76,.06,.1-.06,.22-.43,.19-.59-.61-7.96-1.32-15.91-1.94-23.86-.14-2.75-.61-4.83,2.37-1.76,9.28,8.95,17.93,18.94,27.55,27.35,.2-.11,.5-.27,.5-.4-.09-3.12-.21-6.24-.35-9.36-.2-4.52-.42-9.04-.6-13.56,0-.14,.31-.3,.5-.41,10.57,10.18,20.34,21.73,30.61,32.4,1.16,1.01,1.81,2.3,1.6,3.85,0,5.82,0,11.64,0,17.45,0,.52,.11,1.07-.33,1.53-.07,.07-.31,.15-.36,.11-.5-.34-1.04-.66-1.44-1M .06-3.57-3.51-7.14-7.02-10.68-10.55-5.47-5.47-10.91-10.95-16.38-16.43-.69-.54-1.17-1.4-2.19-1.07,.11,7.85,.73,15.7,.98,23.55,.01,.25-.16,.4-.49,.43-1.71-.43-2.84-2.26-4.23-3.3-7.49-6.93-14.97-13.87-22.45-20.8-.6-.43-1.62-1.97-2.31-1.02,.09,9.14,1.32,18.27,1.5,27.42-.32,1.27-1.67,.03-2.22-.44-7.43-6.1-14.86-12.19-22.29-18.29-2.48-2.03-3.41-2.72-3.04,1.24,.44,9.81,1.89,19.93,1.42,29.61-.93,.26-1.61-.55-2.34-.96-7.27-5.15-14.51-10.32-21.82-15.4-.27-.19-.69-.25-1.05-.35-.1-.02-.33,.06-.34,.11-.1,.42-.22,.84-.21,1.27,.3M ,10.23,.74,20.46,1.09,30.69,.06,1.72,.03,3.44,.03,5.15,0,.24-.67,.53-.92,.42-.24-.1-.49-.18-.71-.3-7.01-3.81-13.94-7.74-20.91-11.62-3.25-1.94-2.59-.21-2.72,2.46,.07,13.38,.42,26.75-.04,40.12-2.37,.15-4.46-1.37-6.7-2.01-5.1-1.95-10.2-3.91-15.3-5.86-.9-.17-2.55-1.37-3.11-.22-1.19,16.54-.63,33.3-2.63,49.75-8.64-.64-17.03-3.36-25.61-4.56l.08,.08c.79-18.57,2.79-37.09,3.24-55.69l-.14,.06Z"/><path class="cls-2" d="M668.92,826.22s-.03,.05-.04,.07l.09-.06s-.03,0-.05,0Zm21.26,37.39s-.02,.03-.04,.05l.08-.04s.01-.01,.02-.01h-.M 06Zm104-66.99s.07,.01,.1,.02c.02-.05,.03-.1,.05-.15l-.15,.13Zm197.35,67.74l.13,.05v-.09s-.09,.03-.13,.04Zm7.28-62.69s.02,.03,.03,.05c.02,0,.05,0,.07,0l-.1-.06Zm6.49,58.18s.01,.03,.01,.04l.1-.1s-.07,.04-.11,.06Zm3.82-31.36c-3.32-8.92-6.12-18.18-10.28-26.77-1.31-.23-13.47-2.44-12.91-.58,3.18,8.92,6.94,17.61,9.71,26.64,.13,.41-.17,.86-.68,1.04-3.86,1.23-7.44,3.16-11.18,4.46-.83-.03-.95-.88-1.21-1.48-1.86-5.28-3.69-10.57-5.6-15.84-1.05-2.9-2.24-5.76-3.38-8.63-.47-.89-1.7-.34-2.35,.08-2.88,1.77-5.74,3.58-8.6,5.36-.31,.1M 9-.83,.05-.97-.25-3.15-6.97-5.76-14.17-9.09-21.06-.22-.47-.4-1.02-1.22-1.32-2.48,1.44-4.5,3.65-6.75,5.42-.87,.48-2.22,2.71-3.2,1.82-3.42-6.24-6.22-12.87-9.8-19.02-.75-.03-1.12,.26-1.43,.61-2.29,2.52-4.56,5.07-6.85,7.59-1.27,.74-1.65-1.34-2.27-2.06-2.77-4.65-5.18-9.53-8.2-14.03-1.02-.72-1.72,1.07-2.32,1.68-1.59,2.26-3.16,4.51-4.73,6.77-.27,.39-.61,.68-1.34,.71-2.73-4.14-5.42-8.39-8.12-12.56-.47-.58-1.09-2.14-2.01-1.45-1.89,2.65-3.22,5.68-4.91,8.48-1.09,2.05-1.54,1.8-2.81,.06-2.21-3.09-4.29-6.24-6.59-9.27-.38-.57-.88M -1.14-1.58-1.33-.49-.1-.69,.27-.83,.56-1.36,2.93-2.7,5.86-4.06,8.78-.34,.61-.79,1.9-1.67,1.16-2.35-2.88-4.66-5.79-7-8.69-.86-1.07-1.71-2.27-2.56-.67-1.41,3.47-2.5,7.07-4.09,10.47-.79,.87-1.62-.7-2.19-1.17-1.95-2.19-3.89-4.39-5.85-6.58-.39-.44-.76-.89-1.59-1.08-1.07,1.27-1.25,3-1.81,4.53-.86,2.59-1.72,5.19-2.56,7.72-.77,.09-1.17-.17-1.52-.52-2.32-2.39-4.56-4.86-7.11-7.03-1.18-.56-1.3,1.33-1.65,2.04-.89,3.04-1.74,6.09-2.64,9.13-.18,.6-.26,1.26-1.02,1.64-.74-.1-1.09-.59-1.53-.99-1.7-1.53-3.38-3.07-5.08-4.61-.59-.6-2.0M 1-1.53-2.42-.41-1.15,4.21-2.37,8.41-3.6,12.59-.14,.47-.74,.65-1.24,.37-2.81-1.41-5.02-3.44-8.11-4.34-.51,.46-.69,1.08-.86,1.68-1.14,4.13-2.35,8.43-3.66,12.47-.74,.21-1.21,.01-1.66-.23-2.64-1.26-4.99-2.99-7.86-3.74-1.44,4.64-2.88,9.27-4.34,13.9-.25,.82-.94,1.06-1.79,.68-1.98-.9-3.96-1.82-5.95-2.72-.5-.21-1.35-.53-1.8-.08-2.28,4.49-3.22,9.6-5.49,14.11-.14,.28-.64,.4-1.01,.24-2.15-.89-4.3-1.78-6.47-2.62-1.62-.63-1.88-.52-2.52,.98-1.98,4.48-3.46,9.13-5.83,13.43-3.13-.9-5.84-2.33-8.99-3.12-2.87,4.31-4.71,9.19-7.18,13.73M -.16,.31-.16,.61,.25,.82-3.67,.06-6.83-2.41-10.41-2.95-.01,.01-.01,.02-.02,.03-2.99,5.02-6.88,9.6-10.67,14.32-3.26-1.26-6.38-2.22-9.26-3.51,0-.88,.73-1.4,1.2-2.02,2.98-4.06,6.42-7.83,9.12-12.08-.01,0-.03-.01-.04-.01-3.27-.81-6.47-1.77-9.79-2.73,.33-1.85,1.53-3.28,2.28-4.84,1.52-3.04,2.99-6.13,4.37-9.23-2.6-.53-5.2-1.07-7.8-1.6-1.15-.19-2.99-.88-3.5,.44-2.05,4.02-3.95,8.25-6.26,12.12-.44,.06-.72,.17-.95,.12-3.26-.64-6.49-1.36-9.57-2.29-.04-.2-.12-.32-.08-.41,1.86-4.37,4.24-8.59,6.29-12.89-.02,0-.05,0-.07-.02-3.2-.69M -6.4-1.38-9.61-2.08-1.77-.45-.49-2.02-.18-3.06,1.45-3.44,2.51-7.05,4.23-10.36-3.53-.62-7.06-1.24-10.6-1.84-.78-.14-1.31,.1-1.55,.69-1.1,2.75-2.19,5.51-3.3,8.27-.69,1.14-.79,3.37-2.49,3.34-3.55-.62-7.07-1.33-10.51-2.47,1.38-4.27,3.9-8.16,4.94-12.52-.02,0-.03-.01-.05-.01-3.45-.75-6.92-1.48-10.37-2.25-1.98-.57-.12-2.71,.02-3.97l-4.38,2.96c.76,.31,2.51,.37,2.66,1.3-1.12,3.95-3.36,7.46-4.87,11.31,3.42,1.75,7.63,1.95,11.15,3.31,.22,.65-.03,1.14-.3,1.63-1.39,2.56-2.77,5.12-4.15,7.68-.26,.87-1.8,2.18-.7,2.9,3.58,1.21,7.34,M 1.94,10.98,2.95,2.02-3.71,4.25-7.35,5.93-11.18,.47-1.07,1-1.24,2.51-.94,3.19,.65,6.23,1.17,9.39,2.09-1.6,4.21-3.95,8-5.82,12.08-.18,.39,.12,.95,.58,1.07,2.98,.74,6.17,1.54,9.07,2.28,.33,.71-.03,1.17-.36,1.63-2.55,3.9-6.14,7.08-8.78,10.92,2.94,1.36,6.23,1.9,9.33,2.88,1.79,.65-1.13,2.57-1.63,3.39-2.81,2.88-5.65,5.74-8.47,8.61-.69,.71-.58,1.16,.37,1.51,3.04,.91,6.02,2.62,9.14,3.05,3.94-4.07,7.98-8.08,11.57-12.36,.2-.24,.62-.36,.96-.54,3.04,.97,6.1,1.8,8.89,2.93,.28,.54,.13,.93-.19,1.29-3.64,4.2-7.21,8.34-11.04,12.4,.2M 6,.28,.42,.64,.72,.77,2.77,1.23,5.52,2.16,8.19,3.65-4.29,5.01-9.6,9.01-14.21,13.66,1.75,1.42,5.26,3.34,8.64,4.75,.72-.13,1.08-.61,1.52-1,4.59-4.08,8.91-8.34,12.84-12.8-.14-.52-.53-.8-1-1.03-2.25-1.16-4.68-2.08-6.81-3.45-.63-.67,.75-1.62,1.1-2.21,3.33-3.8,6.72-7.53,10-11.36,.48-.54,1.06-.69,1.73-.46,2.75,1.11,5.8,1.84,8.06,3.68-3.78,4.74-7.98,9.19-11.97,13.77-.31,.36-.2,.89,.25,1.13,2.33,1.28,4.67,2.55,7.01,3.82,.85,.53,1.61-.38,2.13-.95,3.97-4.54,7.89-9.04,11.86-13.59,2.98,1.18,5.27,3.06,8.16,4.41,4.11-4.8,7.36-10.M 26,11.19-15.27,2.2,.52,3.49,1.96,5.38,2.94,.86,.48,1.47,1.29,2.68,1.31,.79-.49,1.06-1.22,1.43-1.9,2.12-3.95,4.24-7.91,6.34-11.87,.27-.5,.45-1.02,1.09-1.32,2.53,.71,4.63,2.97,6.93,4.29,.31,.21,.82,.11,1.02-.16,2.66-4.74,4.76-9.85,7.21-14.72,.09-.19,0-.42,0-.84-2.25-1.47-4.65-3.01-7.25-4.35-.42-.22-1.13,0-1.34,.39-2.22,4.61-4.06,9.4-6.41,13.93-.24,.41-.91,.6-1.34,.37-2.01-1.09-4.01-2.18-6.01-3.27-.46-.25-.93-.42-1.64-.29-2.62,4.86-4.71,9.99-7.9,14.68-.4,0-.72,.08-.91-.02-2.41-1.17-4.8-2.37-7.19-3.58-.45-.22-.51-.61-.M 22-1.15,2.35-4.46,4.71-8.92,7.08-13.38,.2-.56,.92-.86,1.57-.61,2.56,.88,5.05,2.66,7.66,3.12,2.75-4.46,4.18-9.72,6.6-14.39,.13-.25,.74-.46,1.01-.34,2.62,1.14,5.15,2.26,7.69,3.58,.72-.5,1-1.09,1.23-1.7,1.69-4.37,3.13-8.91,5.02-13.19,.72-.14,1.18,.09,1.61,.32,2.25,1.15,4.36,2.59,6.7,3.57,.17,.06,.6-.08,.66-.2,2.07-4.38,3.2-9.1,4.81-13.65,.2-.6,.92-.82,1.56-.44,2.41,1.39,4.7,2.89,7.12,4.24,.15,.07,.62-.01,.67-.11,2.04-4.39,2.96-9.14,4.55-13.79,.42,.04,.94-.03,1.12,.13,1.9,1.67,3.75,3.39,5.62,5.08,.89,.81,1.99,2.04,2.6,M .22,1.42-4.01,2.19-8.31,4-12.14,.64-.49,1.36,.36,1.81,.74,1.8,1.89,3.57,3.78,5.35,5.68,.4,.42,.73,.91,1.65,.99,1.85-4.11,2.83-8.45,4.45-12.6,.66-.21,1.07-.01,1.39,.37,2.39,2.73,4.55,5.65,7.11,8.22,.12,.11,.47,.05,.81,.08,6.56-16.34,2.72-14.53,13.45-1.68,.7-.18,1-.5,1.18-.93,1.16-2.75,2.32-5.51,3.51-8.25,.31-.71,.7-1.4,1.11-2.07,.05-.09,.59-.12,.7-.02,2.88,3.1,4.83,6.96,7.36,10.36,1.46,2.17,1.78,1.51,2.82-.44,1.25-2.39,2.46-4.78,3.71-7.16,.37-.54,.77-1.74,1.61-1.49,3.35,4.23,5.64,9.3,8.64,13.77,.75-.02,1.08-.32,1.33M -.72,1.62-2.6,3.24-5.2,4.89-7.79,.43-.48,.94-1.73,1.74-1.24,3.55,5.16,5.87,10.92,9.19,16.26,3.02-2.74,4.88-6.31,7.71-9.22,.21-.24,.82-.18,1,.09,3.28,6.03,5.75,12.52,8.85,18.65,.71,.06,1.07-.23,1.41-.57,1.38-1.01,7.6-8.91,8.71-7.33,3.24,6.66,5.74,13.67,8.51,20.52,.16,.42,.43,.77,1.15,.94,2.8-2.08,5.71-4.2,8.56-6.26,.41-.32,1.3-.71,1.75-.34,3.24,7.32,5.28,15.14,8.05,22.65,.28,.82,.61,1.64,.99,2.44,.05,.12,.5,.24,.68,.19,3.39-1.49,6.61-3.32,9.93-4.94,.46-.24,.95-.4,1.61-.26,3.17,9.87,6.48,19.92,8.4,30.07,4.53-1.53,9.1M 7-2.79,13.64-4.47-2.47-9.84-5.72-19.46-8.63-29.18-.23-.71-.47-1.83,.65-1.82,3.86,.24,7.62,1.37,11.45,1.85,1.17-.11,.5-1.5,.35-2.21Zm-296.82,9.2c-3.01,4.08-6.27,8.02-9.39,12.04-.41,.53-1,.68-1.73,.45-2.88-.9-5.83-1.64-8.93-2.84,2.83-3.9,5.77-7.41,8.7-11.21,.61-.72,1.1-1.79,2.26-1.52,2.99,.63,5.96,1.3,8.83,2.24,.32,.1,.45,.53,.26,.84Zm38.34,13.19c-2.98,4.69-6.25,9.25-9.65,13.75-.39,.5-1.08,.64-1.72,.33-2.31-1.09-4.61-2.2-6.9-3.31-.42-.2-.52-.75-.23-1.14,1.53-2.02,3.12-4.01,4.59-6.05,2.29-2.74,3.56-6.25,6.42-8.45-.69,M 1.44,8.61,3.12,7.49,4.87Z"/><path class="cls-2" d="M167.9,1259.66c.04-.86,0-1.73,.46-2.5,3.02-5.89,5.45-12.19,8.82-17.86l-.09,.06c17-.83,34.21-.58,51.28-1.29,.9,.2,5.82-.82,4.89,.97-3.54,5.45-7.16,10.86-10.72,16.3-.34,.7-1.44,1.78-.22,2.19,12.9-.1,25.8-1.36,38.69-2.1,3.21-.1,6.44-.78,9.63-.49,.94,.41-.76,1.87-1.06,2.44-4.48,5.64-9.16,11.14-13.54,16.85-.18,.24,.14,.73,.47,.72,13.96-.55,27.84-2.36,41.73-3.78,3.62-.41,.91,1.49-.15,2.89-5.18,5.51-10.39,11.01-15.57,16.52-.27,.45-2,2-.84,2.1,13.28-.94,26.49-3,39.7-4.09-.M 25,1.41-1.68,2.15-2.58,3.19-6.58,6.42-13.26,12.74-19.78,19.22-.54,.65,.15,1,.81,.88,11.63-.97,23.17-2.82,34.79-3.91,1.38,.21-1.43,2.26-1.8,2.7-7.61,6.84-15.23,13.68-22.84,20.52-.62,.56-1.18,1.17-1.75,1.76-.07,.07-.08,.25-.01,.3,.16,.13,.38,.32,.56,.31,1.74-.15,3.48-.33,5.21-.5,7.09-.69,14.18-1.37,21.26-2.06,3.26-.26,8.77-2.01,3.16,2.39-9.18,7.88-18.44,15.71-27.6,23.62-.51,.44-1.5,.84-1.04,1.57,.32,.5,1.21,.26,1.84,.22,8.99-.41,17.98-1.6,26.97-1.65,.49,.38-.15,1-.53,1.29-12.28,10.02-24.38,20.24-36.77,30.14-8.15,.4-1M 6.39,.05-24.56,.17-.57-.03-2.05,.11-2.13-.5,.21-1.12,1.58-1.68,2.33-2.51,6.37-5.41,12.76-10.82,19.13-16.23,3.6-3.06,7.2-6.12,10.8-9.18,.38-.32,.7-.65,.51-1.14-9.47,0-19.05,1.28-28.56,1.52-.68-.05-1.18-.25-.5-1.06,8.36-7.64,16.89-15.1,25.3-22.67,.47-.62,3.8-2.76,1.98-3.08-10.72,.88-21.39,2.15-32.14,2.66-.12,0-.33-.05-.35-.11-.06-.19-.16-.46-.05-.59,.54-.62,1.11-1.21,1.72-1.79,6.49-6.19,12.99-12.38,19.49-18.57,.69-.87,4.11-3.08,1.2-3.09-7.37,.49-14.72,1.37-22.08,2.01-4.42,.19-9.37,1.43-13.69,.97,.42-1.65,2.16-2.66,3.M 2-4,4.95-5.24,9.92-10.48,14.86-15.73,.56-.81,1.76-1.43,1.61-2.49-13.51,.92-27.03,2.62-40.6,3.21-1.14-.24-.4-.97,0-1.5,5.07-6.23,10.44-12.25,15.35-18.61,.19-.26-.12-.74-.47-.73-5.65,.04-11.26,.76-16.9,1.09-9.27,.53-18.54,1.17-27.83,1.48-.73,.02-1.09-.55-.72-1.14,.85-1.34,1.71-2.69,2.6-4.02,2.48-3.7,4.97-7.4,7.45-11.1,1.02-1.9,3.85-4.25-.37-3.88-12.26,.38-24.51,.86-36.77,1.01-3.77,.04-7.55,.15-11.32,.24-.67,.01-1.35,.02-1.89,.42l.03,.02Z"/><path class="cls-2" d="M1260.18,203.7c-11.54,.6-23.17,.35-34.74,.71-6.06,.12-1M 2.12,.37-18.18,.55-1.07,.03-2.15-.02-3.22-.09-.14,0-.4-.37-.34-.49,3.56-6.33,8.13-12.09,11.78-18.37,.14-.25-.22-.72-.54-.72-13.44,.4-26.87,1.48-40.3,2.34-2.68,.18-5.35,.55-8.05,.54-1.51-.28,.52-1.96,.86-2.62,4.23-5.25,8.47-10.5,12.7-15.75,.36-.44,.64-.93,.88-1.42,.05-.1-.24-.32-.42-.46-14.42,.88-28.9,2.52-43.31,3.87-1.14-.09,.65-1.68,.89-2.09,5.17-5.52,10.36-11.02,15.53-16.54,.72-.77,1.37-1.59,2.01-2.4,.06-.08-.14-.39-.31-.47-12.9,.93-25.93,2.54-38.79,4.18-2.48,.32-.45-1.45,.35-2.24,6.97-6.86,14.14-13.52,20.99-20.5M ,.21-.28-.31-.66-.5-.68-11.08,1.15-22.14,2.48-33.2,3.8-.86,.1-1.74,.64-2.6-.02,.03-.87,.93-1.28,1.53-1.82,7.87-7.09,15.76-14.17,23.63-21.26,.62-.56,1.15-1.18,1.7-1.78,.06-.06,0-.22-.06-.31-.61-.38-1.56-.12-2.27-.15-8.29,.82-16.57,1.64-24.86,2.48-2.89,.08-8.69,2.08-3.27-2.17,9.61-8.29,19.4-16.41,28.87-24.87,.11-.1,.01-.38-.04-.57-.26-.21-.77-.17-1.11-.19-8.6,.37-17.19,1.18-25.78,1.71-.64,.04-1.3-.05-1.95-.1-.05,0-.12-.21-.09-.3,11.83-10.78,24.86-20.68,37.25-30.96,8.2-.26,16.42-.04,24.63-.11,.73,.06,1.64-.18,2.12,.49M ,.05,.06,.02,.22-.04,.28-.59,.58-1.15,1.18-1.79,1.73-4.05,3.46-8.12,6.91-12.19,10.36-5.64,4.78-11.28,9.57-16.9,14.36-.85,.74-2.92,2.37-.41,2.23,6.59-.37,13.17-.75,19.76-1.13,2.67-.05,5.38-.61,8.04-.38,1,.42-.97,1.78-1.35,2.28-8.73,7.93-17.69,15.62-26.28,23.69-.22,.3,.36,.64,.54,.66,10.88-.68,21.73-2.31,32.61-2.61-.12,.35-.11,.71-.33,.94-1.16,1.19-2.37,2.34-3.58,3.5-5.97,5.7-11.96,11.39-17.92,17.09-.69,.66-1.33,1.35-1.95,2.05-.1,.12,.05,.38,.11,.65,11.24-.67,22.45-2.23,33.69-3.05,5.43-.64,2.21,1.41,.31,3.69-5.52,5.9M 8-11.34,11.72-16.68,17.86-.07,.31,.06,.74,.54,.68,11.79-.91,23.55-2.23,35.36-2.98,3.9-.09,7.65-1.77,3.09,3.19-4.02,4.85-8.05,9.69-12.07,14.54-.59,.72-1.16,1.45-1.68,2.2-.11,.15,.02,.41,.04,.66,14.86-.42,29.77-2.23,44.69-2.53,1.38-.04,1.73,.37,1.13,1.33-.9,1.44-1.82,2.88-2.77,4.31-2.98,4.59-6.21,9.03-9.03,13.72-.22,1.06,1.45,.71,2.09,.79,4.04-.14,8.08-.3,12.12-.43,12.93-.35,25.86-.66,38.8-.82l-.12-.12c-3.15,6.75-6.32,13.48-9.72,20.12l.09-.06Z"/><path class="cls-2" d="M167.87,1259.64c-.57,.12-.87,.44-1.07,.86-1.78,3.M 72-3.56,7.44-5.34,11.16-1.06,2.21-2.12,4.42-3.17,6.64-.24,.45-.45,1.2,.21,1.37,15.47,.24,30.95-.88,46.42-1.35,2.19-.04,1.81,.42,.93,2.01-2.94,4.36-5.91,8.71-8.85,13.06-1.09,1.61-2.13,3.24-3.18,4.87-.25,.39,.2,.86,.8,.84,13.73-.31,27.41-1.57,41.12-2.25,.33-.01,.77,.47,.62,.67-.47,.65-.93,1.31-1.45,1.93-4.74,5.76-9.5,11.51-14.24,17.26-.41,.62-1.42,1.48-.14,1.81,2.82-.16,5.65-.29,8.47-.48,9.39-.62,18.78-1.31,28.17-2.03,.23,0,.73,.34,.6,.63-6.54,7.57-14.04,14.37-20.5,22.01-.04,.67,1,.61,1.48,.59,8.32-.59,16.64-1.18,24.M 96-1.78,1.28,.12,7.2-1.26,7.05,.15-5.52,5.92-11.73,11.23-17.5,16.92-9.71,9.4-9.82,7.73,3.25,7.36,6.05-.29,12.1-.62,18.15-.93,1.57-.09,1.12,.86,.19,1.63-8.82,7.85-17.63,15.72-26.43,23.59-1.14,.87-2.09,2.19-3.56,2.51-8.07,.19-16.17,.02-24.25,.07-.58-.04-1.89,.08-1.9-.69,8.02-8.61,17.05-16.34,25.27-24.77,.11-.11,.01-.39-.04-.58-.26-.23-.78-.18-1.12-.22-9.28,.45-18.57,.85-27.86,1-.2,0-.49-.18-.58-.33-.09-.16-.08-.45,.04-.59,2.39-2.61,4.77-5.21,7.21-7.79,4.14-4.38,8.32-8.74,12.48-13.11,.56-.59,2.23-2.01,.46-2.14-11.03,.M 28-22.03,1.46-33.05,1.7-.77-.33,0-1.15,.29-1.61,1.82-2.26,3.66-4.52,5.51-6.77,3.41-4.14,6.82-8.27,10.23-12.41,.36-.44,.83-.87,.43-1.54-11.63,.14-23.33,1.38-34.98,1.77-.87-.11-4.49,.68-3.72-.93,4.24-6.63,8.93-12.99,13.09-19.66,.02-.8-1.28-.71-1.86-.71-3.23,.11-6.46,.22-9.69,.34-11.17,.49-22.34,.94-33.52,.98l.14,.11c2.93-6.11,5.86-12.22,8.79-18.33,.32-.76,1.36-2.24-.03-2.48-11.14-.25-22.28,0-33.43-.09-5.36-.12-10.75,.1-16.08-.39-1.05-.29-.43-1.57-.34-2.32,1.42-5.46,2.85-10.92,4.27-16.38,.16-.61,.46-1.26-.21-1.82l-.06M ,.02c1.12-.49,2.34-.42,3.55-.4,4.98,.08,9.96,.11,14.93,.25,13.01,.71,26.16-.26,39.1,.77,0,0-.03-.02-.03-.02Z"/><path class="cls-2" d="M553.13,271.73c-7,1.83-13.79,4.34-20.78,6.2-.32,.09-.82-.29-.75-.56,6.68-20.92,14.95-41.42,23.13-61.84,.13-.81,1.53-2.6,.09-2.8-7.13,.88-14.05,3.09-21.18,4-1.41-.19-.12-2,0-2.82,8.89-23.82,18.88-47.2,29.24-70.46,.19-.82,1.38-2.28-.05-2.46-7.65,.34-15.2,1.79-22.85,2.16-2,0-.21-2.24,0-3.22,12.04-28.51,24.92-56.77,38.73-84.5,.33-.12,.57-.28,.82-.29,8.7,.03,17.46-.23,26.14,.01,.34,.53,.2M 7,.95,.06,1.35-.86,1.7-1.71,3.4-2.6,5.08-13.61,25.67-26.43,51.46-38.34,77.78-.48,1.68,2.4,.9,3.36,.93,5.07-.55,10.14-1.12,15.21-1.66,1.73-.18,3.48-.32,5.22-.46,.59-.05,.96,.39,.73,.87-11.5,23.85-22.85,47.72-32.65,72.24-.09,1.45,3.69-.15,4.58-.11,5.33-1.13,10.66-2.29,15.99-3.41,.61-.02,1.77-.44,2.09,.27-6.31,15.65-13.81,30.95-19.66,46.79-1.97,5.56-4.9,10.94-6.23,16.68l-.25,.21Z"/><path class="cls-2" d="M431.21,582.46c.01,.05,.01,.1,.02,.15-.05,0-.11-.01-.16-.02l.14-.13Z"/><path class="cls-2" d="M437.58,641.33s.04,.0M 1,.06,.01c.02,.02,.03,.03,.04,.05l-.1-.06Z"/><path class="cls-2" d="M628.41,656.91c.01-.07,.01-.13,.01-.2,.06,.02,.11,.05,.17,.08l-.18,.12Z"/><path class="cls-2" d="M668.15,603.85s-.01,.07-.01,.11c-.04-.02-.09-.04-.13-.06l.14-.05Z"/><path class="cls-2" d="M723.85,589.06s.05-.05,.07-.08c.01,0,.03,.01,.04,.01l-.11,.07Z"/><path class="cls-2" d="M735.94,575.41c-3.61,4.74-8.1,9-12.02,13.57-2.67-.99-5.33-1.98-8.01-2.96-1.27-.47-1.72-.4-2.39,.42-3.41,4.39-7.29,8.5-9.8,13.36,2.77,1.42,5.99,1.94,8.86,3.13,.13,1.31-.79,2.24-M 1.25,3.4-1.75,3.71-3.72,7.37-5.17,11.17-3.24-1.12-6.7-1.55-9.76-3.13,1.85-4.59,4.22-9.02,6.43-13.47,.29-.6,.08-1.15-.54-1.38-2.44-.89-4.88-1.77-7.33-2.66-.68-.19-1.21,.25-1.49,.78-2.27,4.47-4.53,8.95-6.76,13.43-.08,.15,.01,.36,.05,.55,0,.03,.01,.05,.01,.07-2.92-1.1-5.85-2.17-8.78-3.26-.32-.12-.91,.04-1.04,.28-2.49,4.67-3.85,9.91-6.4,14.54,0,.01-.02,.03-.03,.04-.02-.01-.04-.02-.06-.02-2.63-1.06-5.25-2.11-7.88-3.15-.48-.19-1.14,.03-1.33,.43-1.68,3.94-2.95,8.06-4.49,12.05-.32,.89-.52,1.68-1.37,2.25-2.73-1.04-5.14-2.43M -7.85-3.46-.3-.11-.89,.11-.98,.37-1.55,4.7-3.08,9.35-4.62,14.06-.51-.03-.97,.04-1.28-.1-2.45-1.11-4.8-2.37-7.19-3.58-.27-.14-.87,.07-.98,.33-1.63,4.62-3.18,9.43-4.07,14.24-3.21-1.3-5.97-3.49-9.11-4.9-.95,.57-1,1.36-1.2,2.06-.93,3.26-1.81,6.52-2.72,9.77-.31,.82-.54,2.64-1.81,1.7-11.1-9.27-6.45-8.96-11.96,6.46-.73,.11-1.14-.11-1.49-.46-2.37-2.34-4.64-4.78-7.11-7.02-.14-.12-.48-.09-.84-.14-1.46,3.3-2.29,6.84-3.48,10.25-.23,.7-.34,1.46-1.03,2.02-.62-.03-.96-.36-1.28-.71-11.26-12.47-6.43-10.02-12.78,3.04-.93,.82-1.77-1.M 01-2.4-1.54-1.83-2.26-3.64-4.53-5.45-6.8-.5-.58-1.32-2.05-2.05-1.79-.43,.13-.58,.41-.72,.71-1.53,3.21-2.86,6.53-4.53,9.67-1.2,1.19-2.25-1.47-2.99-2.16-2.13-3-4.23-6-6.34-9.01-.27-.38-.6-.68-1.27-.71-2.4,3.27-3.43,7.6-6.48,10.38-3.6-4.41-6.11-9.61-9.52-14.17-1.18-.76-3.63,4.19-4.54,5.1l-9.83-15.04-4.15,2.71c-.38,.03-.59,.27-.78,.52l-8.97,5.86c-3.36-5.65-5.41-11.99-8.98-17.46-1.43,.61-2.13,1.71-3.14,2.55-2.22,1.74-4.01,3.87-6.58,5.17-.84-.52-1.07-1.27-1.37-1.97-2.95-6.89-5.95-13.82-8.88-20.71-.89-.05-1.39,.32-1.91,.6M 5-2.54,1.61-5.06,3.22-7.61,4.81-2.25,1.37-2.26,.01-3.1-1.77-2.23-6.09-4.44-12.19-6.65-18.29-.63-1.76-1.23-3.52-1.85-5.28-.45-.91-1.69-.42-2.39-.08-3.22,1.59-6.72,2.71-10.02,4.18-.64,.53-.08,1.47,.05,2.14,2.86,8.54,6.21,16.92,9.38,25.39,.09,.28-.26,.71-.58,.71-.94,.01-1.9,.11-2.81-.01-3.17-.41-6.4-.53-9.51-1.2-.24-.35-.56-.69-.71-1.07-3.49-9.12-7.41-18.14-9.98-27.5,.3-.74,1.44-.31,2.07-.28,3.02,.53,6.03,1.08,9.04,1.61,.6,.06,1.85,.24,1.93-.58-2.75-10.34-6.84-20.42-8.76-30.91,3.58-.31,6.92-2.15,10.41-3.04,.85-.27,1.6M 4-.75,2.95-.6,2.71,9.81,5.25,19.96,8.57,29.62,.86,.17,1.44-.1,2-.38,3.22-1.55,6.29-3.41,9.58-4.78,.17-.05,.55,.1,.67,.24,2.11,5.14,3.5,10.62,5.43,15.86,1.03,3.01,2.19,5.99,3.31,8.98,.16,.42,.89,.6,1.3,.32,3.06-2.08,6.11-4.18,8.99-6.49,.29-.22,.88-.14,1.02,.13,3.27,7.01,5.69,14.4,8.99,21.38,1.06,.07,1.58-.66,2.28-1.25,2.1-2.1,4.18-4.22,6.26-6.34,.35-.35,.73-.62,1.43-.59,2.95,5.94,5.41,12.15,8.44,18.07,.21,.43,.52,.73,1.25,.84,2.59-2.77,4.67-6.04,7.21-8.86,.14-.15,.46-.17,.71-.25,.75,.51,.93,1.26,1.29,1.93,2.58,4.61,M 4.84,9.4,7.64,13.88,.19,.28,.85,.36,1.01,.11,1.39-2.09,2.76-4.18,4.13-6.28,.68-1.04,1.36-2.1,2.04-3.14,.17-.25,.87-.3,1.03-.08,2.51,3.64,4.54,7.56,6.89,11.31,.52,.85,.91,1.8,1.92,2.42,.65-.26,.91-.74,1.17-1.24,1.37-2.69,2.75-5.38,4.13-8.06,.29-.58,.49-1.21,1.21-1.58,.67,.25,.91,.76,1.23,1.23,2.4,3.48,4.58,7.13,7.19,10.47,.96,1.01,1.71-.75,1.95-1.51,1.34-3.05,2.59-6.12,3.99-9.14,.73-.85,1.49,.27,1.94,.83,10.45,14.04,6.21,10.45,12.5-2.95,.77-.01,1.09,.33,1.38,.68,2.21,2.72,4.33,5.51,6.84,7.98,.19,.21,.93,.1,1.02-.14,M 1.39-3.69,2.52-7.47,3.78-11.21,.22-.57,.71-1.58,1.44-1.02,2.42,2.45,4.54,5.18,7.25,7.34,.11,.08,.62,.02,.67-.07,1.99-4.12,2.62-8.79,4.42-12.98,.66-.27,1.09-.1,1.47,.26,2.29,1.92,4.2,4.38,6.73,5.97,.79,.17,1.03-.8,1.23-1.35,1.13-3.66,2.24-7.32,3.37-10.97,.19-.62,.35-1.26,1.25-1.78,2.59,1.6,5.1,3.39,7.88,4.74,.85-.31,1.02-.82,1.19-1.35,1.16-3.53,2.31-7.08,3.5-10.61,.27-.82,.67-1.63,1.07-2.42,.07-.13,.51-.27,.69-.22,2.36,.92,4.48,2.38,6.73,3.54,.46,.25,.95,.36,1.65,.23,7.91-18.69,2.23-15.59,14.52-10.9,2.58-4.71,4.37-9M .73,6.62-14.6,.11-.27,.11-.55,.15-.83,2.78,1.22,5.41,2.77,8.31,3.69,.19,.05,.58-.06,.69-.2,2.61-4.3,4.74-8.89,7.17-13.3,.27-.49,.56-.97,1.36-1.23,2.52,1.05,5.1,2.41,7.78,3.21,.2,.05,.6-.03,.73-.16,3.01-3.62,5.35-7.73,8.29-11.41,2.88-3.45,1.82-3.23,6.34-1.34,1.89,.69,3.55,1.73,5.59,1.95,4.18-4.44,7.87-9.33,12.27-13.53,.26-.14,.8-.19,1.13-.05,2.73,1.14,5.47,2.28,8.15,3.4,0,.21,.01,.32-.01,.42Z"/><path class="cls-2" d="M95.06,1322.95c-.26-.52-.21-1.05-.07-1.58,1.66-6.31,3.3-12.62,4.86-18.95,.52-1.7-1.99-1.36-3.12-1.45M -3.63-.05-7.27-.14-10.9-.15-11.29-.13-22.61-.41-33.87-.95-.68-.21-1.05-.89-.98-1.57,.02-6.35,.05-12.69,.09-19.04-.09-1.45,1.46-1.34,2.53-1.34,15.32,.78,30.65,1.17,45.97,1.63,1.39,.32,6.08-.65,5.63,1.55-.67,2.74-1.36,5.48-2.06,8.22-.88,3.48-1.77,6.95-2.64,10.43-.16,.42,.06,.99,.51,1.09,15.45,.66,30.94-.26,46.4-.02l-.14-.11c-2.89,6.51-6.08,12.89-9.19,19.3-.35,.78-1.04,1.9,.35,2.09,13.1,.2,26.13-.94,39.23-1.16,.35,1.33-.84,2.19-1.42,3.28-3.73,5.61-7.46,11.21-11.18,16.82-.27,.48-.94,1.33-.2,1.66,11.28,.18,22.59-.94,33.M 88-1.16,.63-.01,.99,.44,.69,.85-5.6,7.39-12.02,14.21-17.45,21.72-.02,.67,.99,.64,1.49,.64,9.29-.3,18.57-.61,27.86-.9,.39-.06,.7,.18,.98,.4,.21,.3-.21,.6-.38,.84-7.42,7.81-14.59,15.85-22.15,23.53-8.3,.48-16.68,.05-25,.2-3.79,.1-1.15-1.94-.07-3.45,4.78-5.99,9.57-11.98,14.35-17.96,.58-.71,2.19-2.35,.33-2.51-9.69,.12-19.39,.69-29.07,.55-.28-.02-.69-.51-.6-.71,.09-.2,.15-.42,.27-.61,4.22-6.62,8.53-13.2,12.83-19.78,.59-.91,.18-1.35-1.2-1.3-11.17,.34-22.34,.83-33.52,.93-1.39-.07-.7-1.34-.38-2.08,1.94-4.13,3.9-8.25,5.84-12M .38,1-2.11,1.99-4.23,2.97-6.34,.2-.43-.18-.88-.75-.89-13.58,.28-27.26,.19-40.79,.64-.01,0,.09,.05,.09,.05Z"/><path class="cls-2" d="M1342.67,120.38c-.19,.28-.49,.54-.56,.84-1.66,6.53-3.31,13.06-4.95,19.6-.14,.56,.34,1.01,1.12,1.08,14.93,.46,29.87,.5,44.79,1.11,1.75,.03,2.56,.05,2.49,2.09,0,6.13,0,12.27-.01,18.4-.05,.63,0,1.47-.79,1.63-5.76,.01-11.56-.5-17.32-.7-9.28-.29-18.56-.57-27.84-.85-2.8-.15-5.66,.12-8.38-.66l.14,.13c2.14-6.26,3.27-12.84,4.97-19.23,.11-.57,.38-1.51-.39-1.69-8.17-.55-16.37-.06-24.55-.1-6.05,.0M 6-12.1,.15-18.14,.22-1.04-.07-3.73,.42-2.99-1.35,2.93-6.23,5.96-12.43,8.93-18.64,.47-.98,.12-1.37-1.23-1.38-13.16,.09-26.33,.53-39.46,1.37l.16,.11c3.68-7.1,8.9-13.53,13.09-20.38,.84-1.37,.42-1.84-1.13-1.81-11.08,.26-22.09,.76-33.16,1.31-.28-1.4,1.05-2.13,1.74-3.18,4.79-5.86,9.58-11.72,14.36-17.59,1.49-1.89,1.95-2.52-.96-2.43-9.02,.3-18.04,.59-27.07,.8-1.51-.21-.63-1.23,.09-1.92,7.15-7.46,13.99-15.13,21.15-22.58,8.93-.32,17.97-.22,26.9-.05,.31,.51,.12,.88-.18,1.27-3.03,3.82-6.04,7.65-9.08,11.47-2.39,3-4.81,5.98-7.2,M 8.97-.38,.52-1.36,1.6-.24,1.84,9.83-.09,19.66-.56,29.49-.58,.99,.29,.56,1.02,.21,1.62-4.13,6.41-8.31,12.81-12.43,19.22-.88,1.5,.64,1.51,1.74,1.5,10.51-.31,21.01-.63,31.52-.8,1.94,0,2.36,.21,1.6,2.19-1.98,4.23-4,8.46-5.99,12.69-.9,1.91-1.75,3.84-2.62,5.76-.18,.4,.23,.94,.72,.97,13.86,.15,27.75-.63,41.61-.15l-.14-.12Z"/><path class="cls-2" d="M486.95,148.21c11-30.71,22.64-61.24,35.4-91.29,.17-.41,.31-.84,.59-1.19,.58-.69,1.66-.66,2.52-.66,7.68,0,15.37,0,23.05,0,.61-.04,1.9-.04,1.89,.72-4.98,11.98-10.58,23.72-15.59,35M .66-7.46,17.5-14.67,35.07-21.37,52.85-.36,1.09-.04,1.49,1.22,1.4,1.88-.13,3.75-.29,5.63-.47,5.22-.5,10.43-1.02,15.64-1.53,.95-.14,2.42-.03,1.91,1.22-10.59,25.37-20.38,50.95-29.09,76.95l.08-.06c-6.93,1.29-13.86,2.59-20.79,3.86-.79,.03-2.51,.66-2.67-.47,2.7-8.99,5.59-17.91,8.62-26.82,5.62-16.84,11.55-33.58,17.88-50.18,.14-.64,.7-1.72-.15-2-1.34,.01-2.68,.01-4.01,.13-6.95,.53-13.87,1.5-20.84,1.76l.08,.11Z"/><path class="cls-2" d="M1269.79,458.44c37.9,11.66,75.35,24.51,112.26,38.83,1.08,.41,2.29,.69,3.1,1.66,.24,6.39,.M 05,12.86,.11,19.26-.06,.79,.14,2.22-1.1,1.97-22.58-8.99-45.03-18.03-68.01-26.24-14.84-5.35-29.77-10.66-44.91-15.38-.52-.15-1.19,.19-1.19,.57,.41,5.8,1.28,11.58,1.86,17.37,.02,.21,0,.43,0,.65,0,.25-.58,.64-.84,.55-31.46-10.83-63.55-20.68-95.91-28.95l.07,.08c-.82-5.6-2.66-11.29-1.74-16.95,.43-.66,1.47-.25,2.12-.18,29.7,6.83,59.04,15.19,88.03,24.3,1.85,.58,3.59,1.47,5.65,1.54,.49,.02,.51-.16,.36-4.97,.05-4.65-.68-9.62,.26-14.16l-.13,.06Z"/><path class="cls-2" d="M999.35,1297.25c-.43-.72-.33-1.44-.11-2.2,.79-2.71,1.54-M 5.44,2.32-8.16,2.81-9.72,5.37-19.48,7.83-29.26,1.74-6.94,3.48-13.88,5.14-20.83,1.36-5.69,2.61-11.39,3.91-17.09,.22-.95,.39-1.91,1.17-2.71,0,0-.06,.03-.05,.02,.48,.59,1.3,.7,2.05,.87,6.14,1.65,12.62,2.46,18.56,4.68l-.06-.09c-.45,6.23-2.27,12.34-3.38,18.5-4.09,18.79-8.3,37.52-13.13,56.15-.13,.99-1.07,2.52,.47,2.83,7.81,1.11,15.63,2.2,23.43,3.41l-.07-.09c-3.31,10.9-5.35,22.19-8.4,33.21-4.7,17.08-8.75,34.48-14.43,51.26-2.82,.26-16.49,.72-27.26,.03,8.33-28.47,17.65-56.76,24.94-85.56,.14-.53,.18-1.07,.25-1.6,.02-.46-.81-M 1-1.35-1-6.78-.89-13.55-1.78-20.33-2.67-.54-.07-1.07-.05-1.5,.28v.02Z"/><path class="cls-2" d="M416.88,226.02c-.33-.54-.99-.67-1.62-.82-3.96-.92-7.93-1.82-11.89-2.74-2.23-.73-5.77-.93-7.25-2.24,5.17-24.77,10.5-49.52,16.86-74.03,.08-1.05,1.16-2.81-.47-3.14-6.5-.93-13-1.81-19.5-2.75-.92-.13-1.83-.36-2.72-.59-.2-.05-.43-.33-.43-.5,.84-6.32,2.86-12.49,4.25-18.73,5.56-21.74,11.27-43.51,17.86-64.96,.61-.64,1.79-.4,2.62-.49,7.41,0,14.83,0,22.24,.02,.84,0,2.46-.19,2.41,1-4.75,15.91-10.12,31.69-14.58,47.68-3.49,12.83-7.62,2M 5.53-10.57,38.48-.16,1.04,1.47,1.23,2.31,1.33,4.38,.59,8.76,1.2,13.15,1.77,2.26,.29,4.53,.54,6.8,.78,.23,.02,.49-.14,.73-.21h0c.53,.56,.56,1.19,.37,1.83-3.91,13.36-7.53,26.81-10.92,40.28-2.12,8.42-4.31,16.82-6.03,25.3-.75,3.71-1.71,7.39-2.59,11.08-.15,.65-.51,1.22-1.1,1.7,0,0,.06-.01,.06-.01Z"/><path class="cls-2" d="M1285.15,364.64c-.97,5.98-2.15,11.93-3.26,17.89-.34,1.49-2.25,.69-3.29,.61-28.6-6-57.55-10.64-86.51-14.64l.15,.12c2.27-5.06,3.61-10.59,5.53-15.82,.47-1.77-3.38-1.3-4.48-1.66-3.07-.33-6.13-.64-9.2-.95-2M 0.7-2.28-41.53-2.93-62.3-4.3l.15,.1c1.99-4.1,3.97-8.21,5.99-12.31,1.84-3.73,2.09-3.71-3.31-3.78-9.68-.15-19.36-.1-29.04-.05-10.35,.12-20.69,.64-31.04,.76-1.66-.34-.29-1.81,.11-2.67,2.63-4.35,5.3-8.68,7.91-13.05l-.1,.05c21.86-.81,43.72-1.72,65.6-1.27l-.09-.1c-1.75,4.63-4.6,8.95-6.72,13.47-.53,1.34-2.21,3.09,.67,3.08,24.21,.52,48.35,2.2,72.47,4.24l-.1-.11c-1.51,5.86-4.27,11.3-5.73,17.19,28.95,3.92,58.02,7.7,86.72,13.3l-.11-.1Z"/><path class="cls-2" d="M1094.35,281.93c19.3-1.43,38.66-2.02,58.01-2.49,.83,.14,4.47-.48,4M .09,.81-2.39,4.7-5.14,9.22-7.66,13.85-.25,.73-1.55,2.15-.37,2.54,23.27,.07,46.5,1.04,69.74,2.13l-.14-.09c-1.39,5.36-4.11,10.45-5.99,15.7-.29,.71-.65,1.41-.4,2.23,10.15,1.5,20.53,1.84,30.74,3.05,17.05,1.67,33.95,4.62,50.98,6.27l-.07-.09c-.22,.5-.53,.99-.64,1.5-1.09,5.99-2.75,11.92-3.43,17.95l.13-.05c-9.65-.58-19.25-3-28.9-4.16-18.66-2.73-37.43-4.72-56.18-6.83l.1,.11c2.04-5.7,4.9-11.45,6.2-17.22-23.96-2.93-48.44-2.85-72.62-3.56l.09,.1c2.85-5.22,5.7-10.44,8.55-15.66,.54-1.07-.6-1.27-1.49-1.22-20.73-.09-41.43,.84-62.13M ,1.92l.08,.12c3.76-5.62,7.51-11.24,11.27-16.87l.04-.03Z"/><path class="cls-2" d="M1187.34,385.43c30.14,4.3,59.95,10.21,89.61,16.81,.72,.14,1.41-.21,1.51-.76,1.04-5.32,1.92-10.65,2.88-15.98,.34-1.99,1.77-1.33,3.25-1.1,33.63,7.05,66.61,15.51,99.38,24.94,1.16,.3,1.37,1.15,1.32,2.11,0,5.92,0,11.85,0,17.77,0,2.07-.27,2.56-3.01,1.74-10.45-3.15-20.89-6.34-31.4-9.39-23.4-6.81-47.12-13.01-70.99-18.59-1.14-.26-1.71,.07-1.88,1.1-.88,5.34-1.72,10.68-2.65,16.01-.13,.76-.76,1.08-1.75,.86-30.36-7.78-61.27-13.66-92.08-19.49l.17,.1M 2c2.07-4.64,3.15-9.69,4.81-14.5,.19-.63,.37-1.24,.91-1.75l-.09,.09Z"/><path class="cls-2" d="M50.34,143.07c0-6.17-.02-12.66,0-18.89,.13-.85-.31-2.56,1.11-2.25,4.43,1.92,8.61,4.43,12.93,6.6,4.55,2.27,8.84,5.07,13.53,7.02,.14,.05,.59-.16,.61-.28,.13-.74,.24-1.49,.23-2.23-.09-7.22-.25-14.43-.3-21.65,0-.43,.05-.86,.08-1.29,.37-1.4,3.53,.54,4.51,.71,5.84,2.22,11.67,4.45,17.5,6.67,1.39,.27,5.46,2.94,5.36,.29,0-.65-.02-1.29-.02-1.94,0-9.05-.24-18.1-.04-27.15,.03-1.04,.52-1.36,1.76-1.11,4.44,.88,8.88,1.78,13.32,2.66,2.61,.M 52,5.23,1.02,7.83,1.56,4.25,.89,4.21,1.44,4.28-2.74,.26-11.09,.33-22.19,.79-33.28,.03-1.31,1.65-1.34,2.69-1.3,8.07,.13,16.2-.23,24.24,.17,1.12,.36,.83,1.67,.86,2.58-.36,7.43-.78,14.85-1.1,22.28-.2,4.63-.26,9.26-.4,13.89-.31,1.36,.72,4.71-1.6,4.33-8.3-1.13-16.41-3.87-24.72-4.55-1.54,.09-.71,7.51-.95,9.06,0,7.97,0,15.94,0,23.91-.22,1.1,.65,3.9-1.29,3.38-8.01-3.04-15.9-6.4-23.94-9.37-2.04-.92-1.64,1.32-1.66,2.56-.19,9.25,.8,18.55,.4,27.76-.54,.52-1.51-.08-2.08-.35-5.77-3.18-11.51-6.38-17.29-9.55-2.33-1.28-4.73-2.47-7.M 11-3.69-.3-.16-.88,.09-.9,.39-.24,7.2,.27,14.43,.36,21.63,.06,3,0,3.4-.53,3.33-1.41-.2-2.19-1.15-3.19-1.82-7.65-5.12-15.27-10.25-22.91-15.38-.82-.55-1.75-1.01-2.37-1.99Z"/><path class="cls-2" d="M1303.48,1313.47c.95-.16,1.82,.09,2.67,.47,7.71,3.09,15.42,6.18,23.2,9.12,1.27,.47,1.41-.79,1.35-1.68-.1-8.83-.27-17.66-.45-26.49-.01-.64,.07-1.28,.12-1.93,.02-.24,.65-.54,.89-.42,1.03,.51,2.07,1.01,3.07,1.56,7.44,4.09,14.79,8.34,22.37,12.17,.45,.23,1.12-.1,1.12-.55,.09-8.17-.53-16.35-.52-24.51,.75-.37,1.24-.12,1.85,.28,8.7M 3,6,17.72,11.65,26.3,17.84,.53,6.78,.06,13.73,.21,20.56,.02,.52-.21,1.28-.86,1.19-8.17-3.82-15.97-8.43-24.01-12.53-3.09-1.65-2.73-.79-2.8,2.1,.08,6.68,.18,13.36,.25,20.03,0,.85-.11,1.71-.24,2.56-.47,.62-1.48,.05-2.08-.11-8.07-2.95-15.99-6.3-24.16-8.96-.27-.09-.85,.27-.85,.52-.02,2.37-.05,4.73-.05,7.1,.03,7.32,.07,14.65,.1,21.97-.06,.72-.01,1.81-1,1.84-8.72-1.21-17.3-4.11-26.01-4.85-.75,11.35-.6,22.79-.98,34.17-.08,3.89,.08,3.71-4.66,3.71-6.6-.01-13.21-.02-19.81-.03-1.33,0-3.67,.26-3.42-1.69,.64-12.05,1.15-24.1,1.44M -36.17,.05-1.61,.23-3.22,.35-4.82,.02-.22,.59-.62,.84-.6,7.37,1.01,14.63,2.92,21.96,4.26,3.07,.37,4.24,1.31,4.09-2.57-.19-11.18,.47-22.44-.23-33.58l-.03,.06Z"/><path class="cls-2" d="M159.33,140.31c-.15,13.24,.38,26.5,.36,39.72-.26,.31-1.03,.27-1.41,.02-5.86-3.01-11.47-6.43-17.24-9.59-1.99-1.11-4.02-2.17-6.05-3.23-2.19-.71-1.01,2.76-1.2,3.91,.33,9.15,.72,18.3,1.18,27.45,.15,1.97-.1,3.27-2.21,1.65-6.19-4.32-12.38-8.64-18.58-12.96-1.72-1.2-3.43-2.42-5.19-3.59-.23-.16-.72-.07-1.17-.11-.07,8.66,.87,17.24,1.22,25.89,.05M ,.86,0,1.72-.01,2.58-.02,.36-.73,.36-.9,.29-6.21-4.51-11.91-9.67-17.94-14.42-2.83-2.3-5.7-4.58-8.57-6.85-1.85-1.02-1.21,1.73-1.24,2.77,.26,6.46,.53,12.92,.78,19.38-.06,.53,.11,1.52-.31,1.83-.23,.04-.58,.1-.71,0-9.05-7.73-17.63-16.03-26.56-23.91-1.34-1.32-3.42-2.54-3.19-4.63,.15-6.49-.22-12.99,.15-19.46,1.59-.29,2.55,1.25,3.75,2.01,7.8,6.26,15.59,12.52,23.39,18.77,.69,.44,1.3,1.32,2.22,1.07,.08-.01,.18-.16,.19-.24,.04-.86,.11-1.72,.09-2.57-.2-6.68-.42-13.35-.62-20.03,.06-.74-.31-2.31,.92-2.01,2.42,1.26,4.57,3.01,6.8M 5,4.5,6.11,4.24,12.2,8.48,18.3,12.72,.43,.33,1.17,.8,1.73,.44,.1-.42,.22-.84,.21-1.26-.24-9.35-.92-18.72-.77-28.06,1.21-.42,2.17,.62,3.23,1.04,7.11,3.89,14.22,7.8,21.33,11.69,2.09,1.22,2.16,.48,2.17-1.58-.2-9.26-.42-18.52-.61-27.78-.09-4.58-.04-4.93,.6-4.95,2.15-.07,3.72,1.1,5.5,1.77,6.83,2.56,13.6,5.21,20.39,7.83l-.08-.08Z"/><path class="cls-2" d="M1303.51,1313.41c-.18-.92-1.32-.9-2.03-1.29-8.13-3.17-16.24-6.39-24.41-9.46l.08,.07c.38-13.13-.51-26.28-.18-39.4,.01-.25,.65-.53,.92-.39,2.24,1.2,4.49,2.38,6.7,3.6,5.2,2M .88,10.38,5.79,15.58,8.67,.74,.28,2.13,1.36,2.66,.37,.03-11.07-1.11-22.14-1.16-33.21,.99-.39,1.64,.38,2.43,.83,5.9,4.1,11.79,8.2,17.67,12.31,2.21,1.32,4.06,3.4,6.52,4.19,.1,.02,.32-.06,.35-.13,.58-9.47-1.03-19.13-1.04-28.65,1.25-.21,2.01,.92,2.95,1.51,5.57,4.54,11.1,9.1,16.69,13.62,2.65,2.14,5.37,4.23,8.06,6.34,.23,.18,.5,.15,.73-.03,.4-.36,.25-1.03,.31-1.52-.11-2.8-.25-5.6-.35-8.39-.17-4.52-.33-9.04-.47-13.56,.39-1.82,2.22,.47,2.95,1.02,8.72,7.92,17.45,15.84,26.17,23.77,1.33,1.03,.96,2.55,1.02,3.98,0,5.17,0,10.34,M 0,15.51,.34,4.94-1.76,2.26-4.11,.55-8.05-6.34-15.87-12.97-24.04-19.15-1.18-.56-1.03,1.16-1.03,1.87,.18,5.06,.38,10.12,.55,15.18,.08,2.37,.09,4.74,.12,7.11-.14,.64-.61,.9-1.39,.39-7.81-5.27-15.52-10.67-23.25-16.05-.92-.56-1.77-1.51-2.93-1.51-.5,.03-.54,.44-.53,.74,.31,9.04,.65,18.08,.94,27.13,.01,2.23-1.25,1.49-2.64,.79-7.22-3.96-14.43-7.93-21.65-11.89-.85-.4-1.56-1.07-2.57-.68-.16,11.93,1.07,23.91,.37,35.83,0,.02,.02-.04,.02-.04Z"/><path class="cls-2" d="M985.19,903.26c-1.28-10.75-3.6-21.35-5.83-31.94-.25-1.19-1.07M -1.06-2.02-.62-3.43,1.6-6.74,3.52-10.14,5.16-.3-.19-.61-.29-.65-.43-.56-2.21-1.11-4.43-1.61-6.65-1.68-6.81-2.95-13.94-5.39-20.5-.68-.46-1.47,.2-2,.56-2.7,2.26-5.38,4.53-8.06,6.8-.37,.31-.74,.59-1.35,.54-.62-.73-.75-1.59-.98-2.43-1.83-6.73-3.49-13.49-5.72-20.15-.21-.62-.36-1.27-1-1.72-.59,.03-.95,.34-1.28,.68-2.48,2.55-4.96,5.1-7.43,7.66-.34,.35-.71,.64-1.33,.63-3.01-6.76-3.99-14.4-7.38-21.07-.67-.45-1.28,.45-1.69,.87-2.29,2.79-4.36,5.73-6.78,8.41-.17,.13-.83,.22-1.01-.03-.42-1.02-.83-2.04-1.21-3.07-1.63-4.44-3.24-8M .89-4.88-13.33-.26-.7-.43-1.45-1.12-2-.61,.09-.9,.45-1.15,.83-2.19,3.21-4.1,6.6-6.5,9.66-.22,.28-.75,.04-.88-.15-1.83-4.39-3.63-8.79-5.49-13.17-.34-.81-.81-1.59-1.27-2.36-.07-.12-.43-.16-.67-.18-.68,.31-.97,1.29-1.41,1.87-1.42,2.56-2.81,5.13-4.23,7.68-.41,.51-.84,1.77-1.67,1.28-2.22-3.88-4.09-7.95-6.19-11.91-.31-.6-.59-1.2-1.46-1.6-2.42,3.75-3.72,8.11-6.1,11.88-.84-.24-1.07-.74-1.34-1.22-1.98-3.3-3.73-6.73-5.92-9.9-.17-.23-.62-.32-1.08-.55-1.93,3.96-3.3,8.02-5.26,11.95-1.2,1.15-2.23-1.9-2.93-2.6-1.67-2.12-2.95-5.27M -5.04-6.88-.49-.16-.73,.54-.93,.87-1.63,3.87-3,7.85-4.77,11.65-.08,.15-.37,.34-.53,.32-.23-.03-.51-.18-.64-.35-1.3-1.76-2.56-3.54-3.87-5.3-.69-.92-1.46-1.81-2.2-2.7-.21-.25-.83-.19-.97,.08-1.94,3.96-3.23,8.22-4.97,12.28-.16,.41-.41,.78-.98,.93-.77-.3-1.09-.91-1.53-1.45-1.49-1.79-2.98-3.59-4.48-5.38-.31-.37-.71-.64-1.46-.57-1.74,4.24-3.45,8.57-5.17,12.83-.21,.52-.43,1.02-1.11,1.31-2.42-1.79-4.11-4.22-6.36-6.21-1.35-.88-1.6,1.2-2.05,2.02-1.72,3.96-3.26,8-5.1,11.91-.38,.77-1.02,.86-1.84,.22-2.12-1.64-4.23-3.3-6.36-4.9M 6,1.44-5.05,3.88-9.85,5.7-14.8,.08-.2,.29-.36,.45-.54,1.18,.04,1.85,.78,2.67,1.29,1.99,1.09,3.18,2.72,5.49,3.39,.17-.21,.45-.42,.55-.68,1.59-4.23,3.19-8.44,4.71-12.69,.26-1.57,1.6-1.23,2.32-.26,1.95,1.77,3.61,3.82,5.69,5.44,.15,.1,.46,.03,.84,.04,1.68-4.15,3.01-8.47,4.5-12.69,.28-1,1.06-1.25,1.82-.39,2.09,2.25,4.1,4.54,6.21,6.76,.21,.23,.91,.14,1.02-.12,1.65-4.24,3.04-8.45,4.59-12.79,.46,.1,.98,.08,1.14,.26,2.33,2.63,4.46,5.37,6.66,8.09,.12,.14,.46,.28,.64,.24,.22-.05,.45-.26,.54-.45,1.81-3.89,2.86-8.09,4.71-11.96,M .7,.02,1.08,.29,1.36,.67,1.61,2.24,3.22,4.48,4.83,6.72,.6,.84,1.18,1.69,1.78,2.53,.22,.31,.77,.08,.95-.1,1.88-3.51,3.13-7.34,4.78-10.96,.19-.43,.58-.72,.82-.59,1.17,.58,1.63,1.88,2.36,2.88,1.62,2.6,3.23,5.21,4.84,7.81,.29,.47,.57,.95,1.22,1.18,2.23-2.82,3.46-6.92,5.25-10.12,.24-.51,.51-.99,1.28-1.29,2.97,4.25,5.18,8.99,7.93,13.37,.15,.16,.77,.39,.98,.09,1.92-2.8,3.45-5.83,5.21-8.74,1.46-2.59,1.88-1.12,3.01,.64,2.42,4.44,4.48,9,6.62,13.53,.27,.45,.91,.32,1.17-.04,2.1-2.88,4.11-5.81,6.19-8.7,.27-.37,.56-.74,1.14-.86,M .66,.41,.85,1.04,1.12,1.63,2.16,4.76,4.1,9.57,5.93,14.41,.39,.84,.57,3.02,1.94,2.75,2.71-2.6,4.98-5.62,7.5-8.39,.32-.37,.72-.62,1.39-.58,12.4,27.38,3.02,24.73,18.53,13.13,.75,.53,.93,1.16,1.15,1.79,2.75,7.6,4.97,15.38,7.51,23,.94,.12,1.41-.3,1.93-.63,2.53-1.61,5.06-3.22,7.6-4.82,.55-.29,1.47-.95,2.07-.51,3.38,9.35,5.27,19.16,7.97,28.72,1.79-.09,3.01-1,4.41-1.56,2.75-1.13,5.46-2.34,8.19-3.5l-.13-.05c1.71,3.82,2.16,8.16,3.22,12.21,1.35,6.43,2.62,12.87,3.91,19.31,.19,.94,.45,1.89,.26,2.86-4.77,1.02-9.21,2.95-13.84,4.4M 1l.12,.12Z"/><path class="cls-2" d="M1244.02,143.59c-9.51,.74-19.07,1-28.58,1.69-4.83,.21-9.66,.86-14.49,.82-1.22-.41,.59-1.79,.91-2.4,3.34-4.04,6.7-8.08,10.03-12.12,1.63-1.98,3.23-3.97,4.81-5.97,.19-.25,.35-.64,.24-.89-.22-.52-.88-.35-1.36-.31-7.38,.52-14.75,1.06-22.13,1.59-4.56,.27-9.11,.81-13.68,.87-.38,.04-.57-.46-.47-.71,5.94-6.71,12.34-13.04,18.45-19.61,.75-.9,1.84-1.54,1.92-2.79-10.51,.23-20.94,1.48-31.43,2.17-.65-.06-2.23,.38-2.32-.46,7.46-7.86,15.72-14.99,23.39-22.65,1.04-1.01,1.95-2.1-.3-2.04-9.28,.28-18.M 54,1.04-27.81,1.21-.4-.6,.03-.98,.46-1.4,9.82-8.63,19.35-17.59,29.34-26.03,8.24-.33,16.6-.05,24.86-.14,.66,.05,2.3-.2,1.91,.89-7.86,7.98-16.15,15.57-24.16,23.42-.56,.65-1.6,1.25-.2,1.7,9.42-.33,18.83-.67,28.25-.92,1.43,.18,.32,1.39-.23,1.95-6.25,6.77-12.66,13.41-19,20.1-.34,.51-1.54,1.42-.65,1.82,1.34,0,2.69-.01,4.02-.09,9-.5,18-1.03,27-1.58,.89,.06,3.57-.54,2.62,1.09-4.99,6.29-10.18,12.43-15.24,18.66-.5,.84-1.65,1.52-1.43,2.57,1.33,.33,2.66,.08,3.99-.01,11.93-.76,23.91-1.64,35.88-1.66l-.16-.11c-5.04,7.01-9.71,14.2M 7-14.58,21.4l.12-.05Z"/><path class="cls-2" d="M794.18,796.62c.02-.06,.04-.12,.05-.18,.03,.02,.07,.03,.1,.05l-.15,.13Z"/><path class="cls-2" d="M986.27,775.83c-2.28,.08-4.57-.04-6.85-.02-5.54,0-5.43-.47-3.31,3.77,3.26,6.69,6.46,13.39,9.03,20.29-.22,.25-.33,.48-.53,.58-3.7,1.67-7.23,3.96-11.06,5.27-.8-.34-.91-1.02-1.16-1.6-1.18-2.75-2.26-5.52-3.48-8.26-1.81-4.05-3.71-8.08-5.56-12.12-.23-.51-.47-1-1.25-1.3-3.51,1.68-6.37,4.15-9.48,6.4-1.54,.84-1.77-1.39-2.4-2.27-2.38-4.56-4.75-9.14-7.16-13.69-.57-1.09-1.27-2.14-1.95-M 3.18-.08-.13-.52-.22-.7-.16-2.29,1.3-3.99,3.51-6.03,5.17-1,.83-1.71,2.1-3.07,2.37-3.92-5.34-6.55-11.41-10.42-16.8-.21-.28-.84-.36-1.03-.13-2.34,2.73-4.63,5.53-6.82,8.37-1.48,.91-2.38-2.19-3.23-3.04-2.3-3.41-4.62-6.82-6.93-10.22-.32-.47-.64-.95-1.53-1.12-9.84,14-3.29,12.46-16.85-2.81-.69,.21-1,.54-1.2,.95-1.33,2.71-2.67,5.41-4.01,8.11-.33,.6-.55,1.3-1.33,1.43-3.12-2.99-5.54-6.61-8.47-9.81-.41-.4-1.08-1.29-1.72-.76-1.99,3.32-2.73,7.26-4.62,10.63-.98,.77-1.81-.98-2.5-1.5-9.92-10.44-6.85-9.8-11.44,2.96-.22,.54-.51,1.51M -1.27,1.31-2.64-1.87-4.72-4.41-7.14-6.54-.54-.32-1.54-1.66-2.13-.95-1.83,3.71-2.08,8.04-3.71,11.85-1.11,.96-2.34-1.17-3.29-1.68-1.77-1.47-3.53-2.96-5.33-4.41-.23-.18-.71-.16-1.15-.24-1.52,4.41-2.07,8.92-3.62,13.2-1.93,.56-9.06-5.8-9.98-3.86-1.04,4-2.04,8-3.03,12.01-.13,.52-.28,1.06-.9,1.4-13.18-4.77-7.17-7.84-13.43,11.01-4.99-2.35-6.59-2.97-9.39-3.67-1.53,3.95-2.35,8.11-3.61,12.16-.24,.82-.4,1.68-1.25,2.42-3.08-.93-5.98-2.57-9.22-3.02,1.45-4.81,2.54-9.71,4.1-14.47,.09-.25,.66-.51,.96-.41,2.25,.71,4.49,1.44,6.73,2.1M 6,1.54,.5,2.26,.69,2.71-1.13,.96-3.9,1.89-7.82,2.83-11.72,.19-.79,.89-1.14,1.74-.84,2.63,.95,5.35,1.96,7.92,2.99,.93-.45,.99-1.14,1.14-1.74,.93-3.91,1.71-7.85,2.69-11.75,.11-.45,.7-.64,1.25-.4,2.64,1.07,5.18,2.27,7.79,3.41,.3,.12,.74,.02,1.13,.02,1.36-4.27,1.82-8.76,3.17-13.03,.07-.2,.78-.42,1.03-.31,2.73,1.09,5.21,2.67,7.83,3.97,.91,.48,1.59,.3,1.79-.48,.37-1.48,.71-2.96,1.07-4.44,.56-2.33,1.11-4.65,1.68-6.98,.15-.63,.85-.76,1.51-.3,2.45,1.8,4.72,3.85,7.08,5.75,.47,.38,.87,.83,1.76,.87,1.69-3.64,2.24-7.73,3.57-11.M 51,.13-.38,.97-.56,1.32-.26,1.37,1.18,2.75,2.36,4.09,3.57,1.43,1.29,2.8,2.62,4.24,3.9,.21,.19,.7,.19,1.14,.3,1.26-3.48,2.39-6.85,3.62-10.32,.53-1.56,1.49-.98,2.36-.1,2.1,2.11,4.16,4.24,6.27,6.33,.75,.74,1.25,1.66,2.41,2.09,1.43-.57,1.27-1.81,1.73-2.76,1.26-2.57,2.17-5.33,3.54-7.84,.71-.02,1.12,.22,1.45,.58,1.58,1.74,3.19,3.47,4.75,5.22,1.06,.81,4.35,6.27,5.45,4.85,1.78-3.14,3.44-6.33,5.38-9.38,.16-.25,.82-.25,1.05,0,3.67,4.02,6.73,8.56,10.24,12.7,.69-.11,1.03-.4,1.3-.78,1.96-2.78,3.81-5.73,5.99-8.33,.73-.02,1.09,.2M 5,1.38,.64,3.44,4.59,6.66,9.36,9.97,14.03,.21,.26,.83,.3,1.06,.06,2.73-2.51,4.88-5.56,8-7.65,.98,.22,1.38,1.24,1.93,1.96,2.95,4.72,5.88,9.44,8.81,14.16,.36,.57,.57,1.21,1.45,1.59,1.85-.86,8.98-7.82,10.3-6.53,3.53,5.61,6.39,11.62,9.66,17.39,.53,.66,.94,2.32,1.98,2.12,3.47-1.83,6.94-3.68,10.38-5.55,.62-.32,.26-1.01,.04-1.49-3.22-5.77-6.45-11.53-9.68-17.3l15.2,3.37c2.29,4.13,4.56,8.28,6.83,12.42,.25,.79,1.71,2.49,.39,2.85Z"/><path class="cls-2" d="M602.51,978.79s.03-.01,.05-.02c.02,.04,.04,.07,.06,.11l-.11-.09Z"/><patM h class="cls-2" d="M635.66,966.57s-.02-.03-.03-.04c.05-.03,.1-.05,.15-.07l-.12,.11Z"/><path class="cls-2" d="M631.88,956.96c8.7-3.37,16.84-7.57,25.22-11.35-.08-.41-.02-.88-.28-1.18-2.04-2.26-4.3-4.43-6.43-6.6,.71-.71,1.6-1.11,2.47-1.51l-5.46-8.35c-1.43,.74-3.04,1.29-4.36,2.23-.15,.1-.26,.44-.17,.55,2.03,2.16,4.34,4.11,6.46,6.18,.93,1.14-1.18,1.52-1.86,1.99-8.02,4.03-16.47,7.35-24.83,10.69-2.5-2.63-4.99-5.26-7.57-7.99,8.55-3.77,17.53-6.5,25.91-10.65,.66-.31,.76-.9,.24-1.36-2.25-1.95-4.6-3.93-6.83-5.87,.18-.69,.83-.8M 9,1.37-1.15,2.06-.99,4.13-1.96,6.2-2.94l-5.29-8.1c-3.59,1.81-7.52,3.09-11.16,4.85-.38,.5,.36,1.02,.73,1.31,1.87,1.4,3.76,2.78,5.63,4.18,1.08,.91,2.27,1.61,.21,2.29-8.07,3.22-16.26,6.29-24.6,8.97-.51,.18-.7,.73-.37,1.06,2.19,2.2,4.47,4.31,6.66,6.49,.22,.22,.18,.6,.27,.94-6.25,2.4-12.66,4.27-19.15,6.1-3.44,.93-6.89,1.85-10.33,2.78-.52,.14-.95,.36-1.11,.99,2.29,2.64,4.76,5.32,6.82,8.16-.44,.73-1.24,.87-2,1.07-9.32,2.51-18.77,4.63-28.33,6.47-1.8,.58-4.21,.18-5.63,1.53,1.59,2.84,3.58,5.52,4.82,8.48,.29,.51,.68,1.11,1.37M ,1.01,12.32-2.17,24.6-5.49,36.52-9.03,1.76,3.24,3.68,6.39,5.54,9.57,11.09-3.91,22.37-7.49,33.07-12.24-1.81-2.73-4.03-5.26-5.61-8.12-.09-.88,1.25-1.07,1.86-1.45Zm-3.87,1.57c-10.14,3.96-20.5,7.69-30.98,10.57-1.85-2.94-4.08-5.73-5.86-8.72,.91-.89,2.05-1.01,3.21-1.37,9.68-2.63,18.96-6,28.29-9.31,2.37,2.56,4.47,5.26,6.69,8.01-.53,.33-.9,.64-1.35,.82Z"/><path class="cls-2" d="M657.1,945.61s.04-.01,.06-.02c-.01,.02-.03,.05-.04,.06,0,.01-.01,.01-.01,.01,0-.02-.01-.03-.01-.05Z"/><path class="cls-2" d="M686.05,904.68c-1.1,.7M 8-2.03,1.48-2.97,2.13l-4.85-7.42c2.54,1.82,5.54,3.16,7.82,5.29Z"/><path class="cls-2" d="M693.82,886.25c-5.14,4.42-10.74,8.24-15.96,12.58l-5.33-8.16c4.42-2.93,8.31-6.56,12.63-9.46,2.92,.69,5.63,2.71,8.41,3.92,.48,.24,.59,.82,.25,1.12Z"/><path class="cls-2" d="M1269.92,183.76c2.73-7.07,6.55-13.84,9.65-20.8l-.07,.07c17.28-.01,34.6,.47,51.86,.01l-.14-.13c-.71,6.33-3.05,12.44-4.39,18.68-.19,.73-.25,1.49-.3,2.23-.01,.15,.25,.39,.46,.45,14.71,1.24,29.56,1.19,44.29,2.39,4.03,.25,8.05,.53,12.07,.8,.79,.08,2.01,.02,2.11,1.0M 4,.16,6.45,0,12.91,.04,19.37-.04,.58-.05,1.52-.78,1.63-21.32-1.03-42.62-3.68-63.97-3.86l.1,.09c1.53-6.1,3.07-12.2,4.59-18.31,.05-.88,.86-2.66-.43-2.9-18.39-.7-36.79-.69-55.19-.89l.12,.12Z"/><path class="cls-2" d="M974.4,1293.7c5.18,.62,10.37,1.25,15.55,1.87,3.1,.54,6.5,.36,9.39,1.68v-.02c-.6,.1-.88,.44-1.01,.88-.52,1.78-1.04,3.56-1.55,5.35-8.27,28.13-17.38,56.08-27.38,83.69-.39,.99-1.88,.78-2.79,.83-8.26-.1-16.48,.2-24.74-.15,6.32-19.51,14.76-38.71,21.08-58.29,3.91-11.31,7.57-22.66,11.35-34,.21-.63,.39-1.25,.2-1.91M ,0,0-.1,.06-.1,.06Z"/><path class="cls-2" d="M437.08,145.85c.41-.01,.86-.08,.97-.43,.53-1.67,1.03-3.34,1.52-5.01,8.58-28.57,17.51-57.17,28.03-85.12,8.76-.53,17.57-.01,26.36-.15,.25,0,.49,.14,.73,.21,.27,.55,.05,1.05-.15,1.57-2.01,5.24-4.07,10.48-6.01,15.74-9.6,25.48-18.63,51.2-27.02,77.06-.01,0,.08-.07,.06-.06-.38-.5-1.01-.65-1.68-.73-7.58-1.05-15.4-1.25-22.81-3.09Z"/><path class="cls-2" d="M162.65,1022.05c-36.95-9.62-73.85-19.97-109.74-32.76-.65-7.42-.2-18.46,.08-21.23,1.8-.34,3.52,.83,5.23,1.28,35.47,12.52,71.18,M 24.54,107.68,34.07l-.1-.08c-1.18,6.27-1.91,12.61-3.27,18.85l.12-.12Z"/><path class="cls-2" d="M264.56,1009.23c.02-5.64-.13-11.27,.02-16.91l-.13,.12c26.46,5.22,52.9,11.41,79.82,14.11,.77-.13,.64-1.09,.66-1.67-.17-3.44-.35-6.88-.53-10.32-.04-1-.42-2.74,1.15-2.58,17.2,2.68,34.51,4.64,51.85,6.2,4.02,.3,8.04,.56,12.06,.84,.8,.06,1.62,.1,2.29,.53l-.08-.07c1.03,3.27,1.1,6.77,1.62,10.15,.14,1.16,.36,2.34-.04,3.51l.13-.1c-20.12-1.34-40.24-2.48-60.24-5.14-2.39-.18-4.8-.8-7.2-.65-.22,.04-.51,.25-.54,.41-.42,4.81,.01,9.68-.07,M 14.51l.12-.09c-27.2-2.72-54.25-7.39-80.99-12.93l.1,.08Z"/><path class="cls-2" d="M156.19,1059.55c-34.73-7.53-69.69-15.4-103.48-26.1-.46-6.71,.02-13.55-.1-20.29,0-.32,.13-.63,.2-.91,.56-.27,1.06-.15,1.57,0,2.77,.84,5.54,1.67,8.31,2.51,31.76,9.85,64.28,18.18,96.7,26.17l-.07-.09c-.51,6.33-2.25,12.55-3.25,18.83l.13-.11Z"/><path class="cls-2" d="M820.94,1307.89c8.25-.92,16.47-2.37,24.78-2.59,.89,.29-.05,1.69-.22,2.29-13.05,26.32-27.1,52.19-41.6,77.79-.49,.87-.8,1.84-1.92,2.55-8.15,.24-16.37,.04-24.53,.1-.68-.06-2.24,.2-M 2.25-.74,15.76-26.21,31.38-52.55,45.84-79.46l-.09,.07Z"/><path class="cls-2" d="M340.38,131.75c4.44-25.31,10.01-50.4,15.64-75.48,.24-1.53,1.96-1.22,3.17-1.27,7.27,0,14.55,0,21.83,0,.93,0,1.9-.11,2.81,.36-6.21,26.36-13.25,52.65-18.43,79.28-.23,1.29-1.75,1.25-2.77,1.01-5.68-.9-11.35-1.81-17.03-2.71-1.6-.29-4.36-.39-5.22-1.2Z"/><path class="cls-2" d="M1071.8,1307.13c7.27,1.12,14.55,2.22,21.81,3.37,2.58,.33,2.62,.81,2.24,3.24-4.58,24.75-9.6,49.41-15.48,73.9-1.17,.52-2.35,.39-3.58,.41-6.87,0-13.75,0-20.62-.01-2.95-.1-3.M 58,.41-2.78-2.97,6.94-25.84,12.51-52,18.53-78.03,0,0-.12,.1-.12,.1Z"/><path class="cls-2" d="M152.85,844.99c.94,6.3,1.77,12.61,2.5,18.94-.23,.71-1.01,.55-1.59,.28-29.78-13.91-58.92-28.75-87.62-44.53-3.55-1.95-7.09-3.92-10.63-5.89-1.36-.84-3.39-1.47-3.05-3.42-.02-6.03-.03-12.06-.03-18.09,.06-.73,.02-1.96,1.15-1.55,6.71,3.74,13.21,7.82,19.92,11.6,26.03,15.01,52.55,29.21,79.42,42.75l-.08-.08Z"/><path class="cls-2" d="M1289.22,345.29c19.67,4.02,39.62,7.12,59.15,11.6,11.43,2.47,22.85,4.99,34.18,7.73,.9,.22,1.85,.33,2.64M ,1.05,.41,6.56,.03,13.26,.14,19.86,.09,2.43-1.57,1.37-3.13,1.14-32.05-8.44-64.42-15.72-97.05-22.03l.11,.1c1.5-6.46,1.94-13.24,4.09-19.5l-.13,.05Z"/><path class="cls-2" d="M149.09,1097.55c-32.28-4.74-64.34-11.96-96.08-19.4-.71-.64-.71-1.29-.71-1.94-.01-5.92,.02-11.85,.15-17.77-.03-2.97,1.3-1.99,3.43-1.59,31.24,8.07,62.66,15.29,94.41,21.35,.76,.17,2.07,.21,1.94,1.25-.36,2.13-.74,4.26-1.14,6.39-.47,2.56-1.03,5.1-1.43,7.67-.22,1.38-.92,2.72-.7,4.14l.12-.1Z"/><path class="cls-2" d="M474.1,687.86s.01,.03,.01,.04c-.05,.02M -.1,.05-.15,.07l.14-.11Z"/><path class="cls-2" d="M486.05,706.62s.06,.01,.09,0c.02,.02,.03,.05,.05,.07l-.14-.07Z"/><path class="cls-2" d="M508.99,716.17c-4.32-4.93-7.62-10.62-11.92-15.54-3.35,1.7-6.34,3.67-9.57,5.54-.41,.24-.82,.49-1.36,.45-4.25-6.06-8.69-12.16-12.03-18.72,3.73-1.68,7.1-4.05,10.74-5.85,.93,.38,1.17,1.02,1.53,1.59,3.67,5.33,6.58,11.21,10.7,16.19,.43,.01,.78-.09,1.07-.25l10.84,16.59Z"/><path class="cls-2" d="M644.69,680.15s0,.05-.01,.07c-.68,4.69-1.19,9.52-2.68,14.02-14.11-3.91-8.9-6.48-12.85,9.82-.0M 9,.42-.69,.64-1.24,.42-3.08-1.01-5.91-2.69-9.02-3.55-.21,0-.61,.14-.64,.27-1.18,4.09-1.67,8.26-2.98,12.34-1.56,0-2.54-.83-3.69-1.34-2.38-.95-4.36-2.6-6.87-3.25-.16,.09-.31,.14-.34,.21-1.55,3.69-1.9,7.83-3.46,11.49-.75,.17-1.18-.07-1.57-.36-2.45-1.84-4.89-3.7-7.34-5.54-.63-.34-1.46-1.38-2.2-.88-1.45,3.09-2.31,6.4-3.5,9.59-.23,.63-.71,1.48-1.52,1.06-13.83-10.09-7.86-12.23-15.58,2.07-.93-.01-1.36-.45-1.79-.85-2.33-2.19-4.63-4.38-6.96-6.58l-2.64-4.04c1.64-3.15,3.22-6.32,4.94-9.44,.14-.26,.8-.33,1.02-.12,2.96,2.78,5.81,M 5.65,8.75,8.44,.47,.38,1.22,1.19,1.86,.71,1.75-2.91,2.55-6.34,3.93-9.45,.18-.51,.54-1.2,1.2-.99,2.55,1.63,4.57,3.93,6.91,5.84,.96,.6,2.83,3.24,3.79,1.63,.91-2.92,1.79-5.85,2.7-8.77,.38-.76,.45-2.59,1.68-2.06,2.99,2.13,5.66,4.66,8.7,6.72,.41,.28,1.11,.07,1.24-.39,1.16-3.84,1.81-7.84,3.09-11.62,.18-.06,.31-.14,.4-.12,3.58,1.02,6.15,3.43,9.79,4.5,.24-.24,.63-.45,.69-.71,.41-1.69,.72-3.4,1.11-5.09,.52-2.33,1.07-4.65,1.65-6.97,.03-.15,.33-.26,.61-.46,1.92,.61,3.74,1.62,5.62,2.37,4.7,2.08,4.09,1.69,4.98-2.34,2.83-13.09-.M 23-10.78,12.22-6.65Z"/><path class="cls-2" d="M769.19,1313.7c7.2-.82,14.39-1.64,21.59-2.46,1.93-.16,4.6-.76,2.99,1.71-14.74,25.38-30.53,50.37-46.9,74.83-.47,.08-.98,.23-1.5,.23-8.5-.11-17.03,.29-25.5-.14-.21-1.48,1.28-2.53,1.95-3.75,7.65-10.64,15.03-21.4,22.32-32.2,8.69-12.63,16.74-25.56,25.17-38.28l-.11,.06Z"/><path class="cls-2" d="M975.41,1212.86c6.65-.94,13.42-.27,20.13-.41,.64,.03,1.76,.09,1.85,.88-.13,.85-.2,1.72-.42,2.56-4.72,18.35-9.63,36.64-15.03,54.81-2.09,7.12-4.34,14.2-6.52,21.3-.19,.63-.31,1.27-1.03,1.M 7,0,0,.1-.06,.1-.06-8.36,.13-16.79-.02-25.06,1.26l.15,.07c9.39-27.15,17.98-54.61,25.89-82.18l-.08,.08Z"/><path class="cls-2" d="M1297.32,306.55c29.38,3.86,58.63,8.6,87.69,14.3,.15,.39,.36,.69,.36,.99,0,6.56,0,13.12-.03,19.68-.02,1.89-2.19,.93-3.35,.82-24.8-5.07-49.53-10.16-74.6-13.97-4.68-.91-9.59-1.09-14.11-2.53l.07,.09c-.22-3.21,1.32-6.56,1.75-9.78,.54-2.63,1.04-5.27,1.54-7.9,.12-.64,.29-1.26,.79-1.79l-.11,.08Z"/><path class="cls-2" d="M140.85,1136.47c-28.64-3.11-57.14-8.26-85.46-13.49-1.55-.34-3.72-.32-3.4-2.39,M .04-6.35-.03-12.7,.08-19.05,.05-.83,.61-1.2,1.55-1,3.13,.64,6.26,1.28,9.37,1.95,27.06,5.87,54.49,10.42,81.87,14.73l-.12-.11c-1.41,6.48-3.03,12.93-4.05,19.48l.15-.11Z"/><path class="cls-2" d="M474.01,660.71s-.03,.05-.05,.07l.05-.07Z"/><path class="cls-2" d="M482.8,676.09l3.24,4.96c-.8,.43-1.46-.36-1.78-1.08-3.54-6.34-7.4-12.67-10.26-19.22,3.67-2,6.71-4.62,10.12-6.84,.15-.08,.64-.03,.71,.08,3.01,4.99,5.27,10.38,8.14,15.45l-10.17,6.65Z"/><path class="cls-2" d="M624.41,672.35c-.92,4.01-1.82,8.05-2.73,12.07-.12,.5-.21,1M .06-.88,1.35-2.97-.77-5.44-2.75-8.22-4.02-.48-.26-.96-.35-1.56-.15-1.36,3.97-2.01,8.21-3.23,12.24-.07,.24-.79,.43-1.02,.28-2.44-1.61-4.58-3.64-6.88-5.44-.5-.44-1.7-1.59-2.16-1.16-.25,.24-.54,.5-.62,.78-4.56,15.91-1.56,12.29-13.09,3.13-.99-.28-1.17,1.24-1.53,1.88-.9,2.59-1.76,5.19-2.67,7.78-.86,2.17-1.41,1.79-2.88,.35-2.75-2.64-5.18-5.58-8.1-8.03-.14-.09-.48,0-.82,0-1.37,3.16-2.73,6.3-4.13,9.44-.42,1.53-1.65,1.16-2.36,.15-3.15-3.17-5.71-6.86-8.96-9.94-.87-.37-1.21,.88-1.62,1.41-1.02,1.84-2.02,3.68-3.03,5.53l-10.12-1M 5.48c.9-1.4,1.8-3.01,2.67-4.41,.29-.44,.43-1.15,1.2-1.1,.72,.04,.95,.7,1.29,1.16,.41,.55,.79,1.12,1.21,1.68,2.17,2.85,4.35,5.7,6.52,8.55,.35,.46,.7,.92,1.36,1.15,.59-.29,.86-.78,1.11-1.28,1.65-2.85,2.75-6.68,4.84-9.12,.51-.26,1.08,.63,1.43,.91,2.77,3.18,5.21,6.61,8.22,9.58,.13,.12,.45,.12,.69,.17,.62-.6,.85-1.33,1.13-2.05,1.13-2.87,2.27-5.74,3.44-8.61,.07-.17,.34-.35,.57-.4,.21-.05,.57,0,.7,.13,2.52,2.66,4.99,5.35,7.53,8,.87,.84,1.93,1.47,2.31-.19,1.16-3.43,2.3-6.86,3.44-10.28,.75-.96,1.74,.47,2.37,.94,2.31,2.1,4.3M 8,4.43,6.86,6.35,.17,.12,.49,.11,.76,.17,.72-.69,.83-1.55,1.06-2.38,.88-3.15,1.76-6.3,2.64-9.46,.73-1.27,1.95,.24,2.66,.78,2.08,1.68,3.95,3.62,6.17,5.11,.27,.15,.74,.07,1.16,.09,1.41-4.41,2.09-8.88,3.61-13.32,3.73,1.46,6.26,3.35,9.64,5.06,.02,.2,.07,.41,.02,.61Z"/><path class="cls-2" d="M624.45,671.77l-.06-.03v-.03l.06,.06Z"/><path class="cls-2" d="M1046.73,360.85c1.68-4.25,4.15-8.16,6.19-12.25,.43-.99,1.53-2.48-.38-2.43-13.97,.67-27.93,1.46-41.85,2.75-4.68,.41-9.36,.84-14.02,1.4-.66,.07-1.33,.18-2.09-.18,2.27-5.09M ,5.7-9.69,8.44-14.56l-.1,.06c19.53-1.86,39.06-4.02,58.68-4.63,1.25,.33,.18,1.5-.12,2.2-2.13,4.06-4.76,7.92-6.57,12.13-.05,.13,.19,.46,.35,.48,5.36,.31,10.77-.14,16.14-.18,16.84-.57,33.68,.04,50.52,.34l-.15-.1c-2.25,5.23-4.49,10.64-7.28,15.59l.1-.05c-22.66-.5-45.33-1.05-68.02-.67l.16,.08Z"/><path class="cls-2" d="M1146.04,1319.49c.33,.5,.27,1.04,.2,1.58-.41,3.1-.79,6.21-1.23,9.31-1.89,13.7-3.97,27.37-6.23,41.02-.85,5.12-1.71,10.24-2.57,15.36-.09,1.05-1.31,1.44-2.25,1.38-7.95,0-15.89-.01-23.84-.02-.64,0-1.89-.13-1.75M -.9,3.65-19.35,7.57-38.66,10.66-58.12,.62-3.62,1.27-7.25,1.84-10.88,.16-1.04,.56-2.12-.04-3.17,0,0-.14,.08-.14,.09,7.9,.73,15.73,2.63,23.59,3.82,.64,.11,1.23,.4,1.84,.61l-.08-.07Z"/><path class="cls-2" d="M315.67,128.01c-8.46-1.47-17.07-2.43-25.38-4.58l.09,.07c1.97-18.53,5.13-37,8.11-55.42,.62-3.73,1.22-7.46,1.85-11.19,.17-1.63,1.31-2.11,2.85-1.98,7.67,0,15.34,.02,23.01,.05,1.14,.06,2.4,.08,2.01,1.62-4.58,23.75-9.58,47.55-12.67,71.5l.13-.09Z"/><path class="cls-2" d="M502.98,962.05c14.45-.49,28.79-2.27,43.13-3.85l-.M 1-.06c2.16,2.84,4.32,5.69,6.47,8.53,.34,.45,.75,.9,.61,1.52-13.01,3.05-26.67,3.83-39.98,5.3-2.11,.24-2.19,.38-1.2,2.03,1.85,3.13,4.07,6.28,4.85,9.85l.14-.14c-16.4,1.35-32.76,2.44-49.22,2.82-.02,3.27,1.37,6.37,1.95,9.58,.2,.84,.48,1.68,.25,2.56l.1-.09c-19.45,.84-38.88-.06-58.32-.62l.08,.07c.13-4.94-1.52-9.65-3.21-14.31l-.1,.09c18.87,1.43,37.79,2.72,56.74,2.54,3.37,.2-.09-3.8-.51-5.26-1.06-2.09-2.14-4.17-3.22-6.26-.21-.41-.31-.81-.08-1.24,16.21-.48,32.53,.13,48.74-1.57-.04-.39,.04-.74-.11-1-2.17-3.59-4.58-7.06-6.85-1M 0.59l-.16,.1Z"/><path class="cls-2" d="M546.01,958.13s.03,0,.04-.01c.02,.03,.04,.05,.06,.08l-.1-.07Z"/><path class="cls-2" d="M623.29,891.08c-1.21-.69-2.43-1.38-3.65-2.07-.46-.26-.77-.57-.73-1.16,.58-.25,1.17-.52,1.76-.78l2.62,4.01Z"/><path class="cls-2" d="M624.24,916.53c-8.36,3.69-17.24,6.08-25.99,8.89-.3,.1-.43,.63-.19,.84,1.89,1.69,3.79,3.35,5.67,5.04,.7,.64,1.62,1.14,1.93,2.02-.41,.47-1.03,.67-1.66,.88-9.15,2.9-18.62,5.11-27.99,7.34-1.36,.38-.46,1.48,.16,2.07,2.11,2.43,4.47,4.52,6.32,7.19-11.84,3.51-24.24,5.15M -36.44,7.32-2.45-3.3-5.17-6.47-7.54-9.8-.06-.08-.01-.21-.01-.43,11.74-2.11,23.76-3.13,35.31-6.1,.33-1.52-9.03-8.16-7.3-8.92,10.03-2.44,20.28-4.03,30.07-7.19-.22-1.03-1.19-1.51-1.88-2.14-1.4-1.31-3.04-2.46-4.48-3.72-.69-.63-1.78-1.03-1.81-2.07,8.25-2.56,16.76-4.53,24.87-7.47,1.04-.37,1.21-.89,.44-1.43-2.59-1.87-5.32-3.6-7.83-5.58-.29-.22-.16-.61,.25-.77,6.59-2.49,13.45-4.45,19.84-7.31l5.32,8.14c-4.79,2.08-9.63,4.01-14.57,5.76-.49,.18-.91,.41-.99,1,2.67,2.22,6.06,3.83,8.5,6.44Z"/><path class="cls-2" d="M656.64,853.32M c-1.78,1.58-3.72,2.99-5.61,4.45l-5.56-8.5c.29-.22,.6-.42,.93-.61,3.43,1.16,6.75,2.31,10.01,3.57,.47,.18,.6,.77,.23,1.09Z"/><path class="cls-2" d="M1301.01,286.07c.53-.22,.72-.63,.81-1.05,1.34-5.71,2.7-11.41,3.93-17.14,.57-1.73,3.63-.6,5.04-.71,21.34,2.2,42.64,4.73,63.88,7.7,3.18,.44,6.36,.92,9.53,1.39,.69,.1,1.15,.55,1.19,1.13,.13,6.35,0,12.7,.03,19.06,0,.63,.16,1.3-.48,1.88-18.24-2.25-36.39-6-54.72-8.01-5.44-.72-10.89-1.43-16.34-2.11-3.32-.42-6.66-.79-9.99-1.18-1.08-.12-2.12-.31-2.9-1l.02,.05Z"/><path class="cls-2M " d="M136.03,1156.71c-1.53,5.89-2.87,11.82-4.13,17.75-.28,1.74-1.05,1.73-2.61,1.63-25.75-2.29-51.37-5.63-76.94-9.36-.67-.87-.54-1.84-.57-2.86,.02-5.59,.06-11.18,.1-16.78-.11-2.93,1.14-2.14,3.37-2,16.62,2.67,33.22,5.43,49.93,7.54,8.89,1.19,17.79,2.26,26.7,3.32,1.46,.17,2.95,.26,4.28,.85,0,0-.12-.1-.12-.1Z"/><path class="cls-2" d="M165.89,1003.4c.78-5.56,1.6-11.11,2.41-16.66,.11-.67,.3-1.48,1.22-1.33,31.21,9.08,62.97,17.28,95.03,23.81l-.1-.08c-.99,5.47-2.79,10.82-4.05,16.25l.13-.07c-31.84-6.17-63.67-12.94-94.74-22.01M l.1,.08Z"/><path class="cls-2" d="M159.38,1040.92c1.58-6.15,2.49-12.57,3.26-18.87l-.12,.12c30.82,7.29,61.77,14.05,93.13,19.4l-.09-.1c-1.25,5.46-3.33,10.81-4.86,16.24l.14-.08c-30.8-3.61-61.25-10.51-91.53-16.8l.07,.09Z"/><path class="cls-2" d="M1197.83,1329.15c-1.65,14.47-2.68,28.99-4.52,43.44-.4,3.54-.76,7.08-1.17,10.62-.16,1.39-.41,2.77-.64,4.16-.07,.42-.58,.74-1.12,.78-7.81,.18-15.62,0-23.43,.03-.84-.13-2.46,.17-2.89-.65-.06-.53-.08-1.08,0-1.61,3.09-20.61,5.63-41.29,7.99-61.99l-.12,.11c8.64,1.81,17.46,3.08,26,5.19M l-.08-.08Z"/><path class="cls-2" d="M264.09,119.42c-.16-.46-.58-.7-1.13-.8-7.33-1.37-14.66-2.79-21.98-4.21-.8-.15-1.89-.5-1.78-1.45,.73-11.08,1.85-22.13,3.11-33.17,.88-7.83,1.81-15.65,2.73-23.47,0-1.36,1.33-1.51,2.48-1.48,7.41,0,14.82,.02,22.23,.03,3.76-.19,2.85,1.04,2.64,3.95-1.78,13.16-3.8,26.29-5.36,39.48-.5,4.18-.99,8.36-1.47,12.54-.46,2.89-.06,5.92-1.51,8.6,0,0,.04-.01,.04-.01Z"/><path class="cls-2" d="M239.48,1091.22c-27.16-2.22-54.14-7.06-81-11.59-1.58-.27-3.14-.59-4.71-.9-.43-.08-.92-.63-.87-.98,.97-6.09,2.M 21-12.14,3.29-18.21l-.13,.11c29.52,5.69,59.17,11.1,89.08,14.87l-.1-.1c-1.53,5.69-3.86,11.25-5.67,16.89l.11-.09Z"/><path class="cls-2" d="M745.02,610.92c-3.24-.4-6.47-1.46-9.69-2.12-.32-.08-.55-.42-.85-.67,2.81-4.45,6.53-8.13,9.48-12.5-2.57-1.39-5.45-1.84-8.19-2.8-.53-.16-.93-.42-1.21-.92,3.11-4.13,7.04-7.92,10.71-11.65,.34-.34,.61-.71,.5-1.3-2.73-1.39-5.94-2.27-8.89-3.75,3.93-4.84,9.3-8.67,13.78-12.96-.08-.55-.43-.83-.92-1.07-2.52-1.24-5.03-2.51-7.54-3.76-.6-.03-.97,.28-1.31,.61-4.83,4.24-9.15,9-14.2,12.93-2.93-1.1M 3-5.64-2.73-8.63-4.01-5.01,4.46-8.44,9.77-13.25,14.43-3.04-1.2-5.88-2.58-8.69-4.16,3.69-4.98,8.01-9.27,12.01-14,.86-.98,1.26-.97,2.65-.21,2.01,1.09,4.02,2.16,6.05,3.22,.72,.38,1.28,.31,1.76-.19,4.21-4.55,8.76-8.77,13.35-12.96,.48-.45,1.16-.49,1.82-.14,2.37,1.23,4.69,2.54,7.09,3.73,1.24,.6,2.07-.55,2.97-1.16,4.89-3.87,10.01-7.48,14.76-11.49-.06-.2-.03-.49-.19-.59-2.73-1.6-5.2-3.67-8.11-4.93-6.27,3.92-11.66,9.16-17.54,13.58-2.31-1.15-6.22-3.48-7.78-4.65-.28-.21-.36-.66-.16-.88,5.36-4.86,10.88-9.69,16.93-13.89,3.15,1.M 36,5.54,3.72,8.55,5.47,6.73-4.4,13.18-8.97,20.08-13.05,2.12,1,5.38,3.33,8.5,6.07-6.31,4.15-12.98,7.88-19.16,12.31,.24,.37,.34,.72,.62,.89,2.43,1.53,5.09,2.76,7.4,4.47,.14,.11,.22,.46,.12,.54-4.79,3.65-9.88,6.99-14.44,10.81-.48,.55-2.13,1.28-1.16,2.05,2.66,1.25,5.35,2.45,7.95,3.81,.26,.13,.31,.67,.08,.87-4.46,4.09-9.36,7.67-13.49,12.1,3.07,1.55,6.48,2.3,9.4,3.67,.09,.73-.43,1.1-.83,1.51-3.52,3.74-7.35,7.1-10.6,11.08,13.98,5.64,12.31-.8,.26,15.65Z"/><path class="cls-2" d="M815.24,698.24s.05,.02,.08,.03c0,.01,0,.02,0,M .03l-.07-.06Z"/><path class="cls-2" d="M882.5,666.93c-2.71,2.86-5.86,4.98-8.6,7.87-3.82-2.29-7.25-4.86-10.94-7.29-.61-.41-1.16-.9-2.21-.99-2.78,2.68-4.25,6.11-6.91,9.05-4.2-2.1-8-4.5-12.19-6.37-.28,.18-.58,.27-.68,.44-1.87,2.99-3.36,6.1-4.79,9.24-.2,.44-.02,.93,.41,1.15,3.6,1.9,7.2,3.79,10.81,5.67,.19,.1,.49,.07,.87,.12,1.68-2.64,2.94-5.55,4.58-8.21,.97-1.59,1.32-1.66,2.92-.66,3.32,2.16,6.5,4.52,9.75,6.8,1.05,.75,1.12,1.06,.59,1.93-1.6,2.61-3.21,5.22-4.81,7.83-.57,.91-1.09,.97-2.16,.22-2.9-2.12-5.89-4.09-8.86-6.12-M .63-.35-1.72-1.32-2.34-.54-6.85,13.19-1.4,10.97-14.87,4.98-1.36-.65-1.99-.48-2.38,.67-1.12,3.21-2.07,6.47-3.27,9.65-.1,.26-.69,.46-.99,.33-3.72-1.48-7.22-3.26-11.11-4.43,1.68-3.97,2.02-8.49,4.06-12.27-.82-.37-1.66-.68-2.5-.98l3.36-2.28c-.26,1.08-1.18,2.13-.75,3.27,2.61,1.03,5.15,2.19,7.73,3.3,1.27,.51,2.36,1.38,4.03,1.44,1.55-3.51,2.74-7.03,4.19-10.49,.07-.17-.06-.4-.11-.73-1.98-.99-4.01-1.95-6.1-2.87l22.81-15.43c2.84,1.46,5.63,3.21,8.41,4.67,1.24-.49,1.59-1.36,2.23-2.01,1.96-2.12,3.77-4.2,5.93-6.15-1.47-1.77-3.87-M 2.5-5.74-3.84l10.46-7.08c1.8,1.41,4.31,2.22,5.64,4.1-2.68,1.69-5.66,3.26-8.13,5.22-1.75,1.37-1.76,1.44,.09,2.7,3.86,2.71,7.84,5.2,11.57,8.09Z"/><path class="cls-2" d="M148.96,1097.66c27.85,4.91,55.97,8.17,84.08,11.15-1.99,5.23-4.43,11.77-6.61,17.43l.12-.07c-27.37-1.76-54.62-5.35-81.8-9.06l.12,.11c1.46-6.53,2.32-13.23,4.21-19.65,0,0-.12,.1-.12,.1Z"/><path class="cls-2" d="M1311.17,246.4c-.19-1.62,.51-3.15,.85-4.71,1.23-5.09,2.27-10.28,3.87-15.27l-.08,.07c6.25-.6,12.58,.63,18.85,.92,16.06,1.15,32.08,2.61,48.09,4.27,1M .21,.16,2.92,.16,2.72,1.72,.02,3.44,.02,6.88,.01,10.32,0,2.9-.02,5.8-.03,8.71,0,.53,.02,1.07-.52,1.54-12.5-.96-24.96-2.98-37.46-4.15-12.1-1.39-24.34-1.89-36.4-3.52l.1,.09Z"/><path class="cls-2" d="M121.44,1216.59c-21.71-.31-43.77-3.21-65.45-5.06-1.66-.26-4.7,.18-4.42-2.17,0-1.94,.05-3.88,.06-5.81,.02-4.2,.03-8.4,.06-12.6,0-.63-.08-1.3,.69-1.86,22.35,2.55,44.74,5.25,67.19,6.94,1.74,.15,3.48,.28,5.22,.46,1.26,.13,1.59,.52,1.39,1.53-1.51,6.22-2.75,12.57-4.79,18.64l.08-.07Z"/><path class="cls-2" d="M1330.77,1372.37c.15M -5.16-.05-10.35,.34-15.5,.63-1.09,2.6-.26,3.63-.24,7.2,1.38,14.35,2.96,21.56,4.26,2.69,.67,2.13-1.76,2.19-3.46,.02-7.43-.27-14.87-.04-22.29,.02-.42,.69-.74,1.18-.56,3.43,1.25,6.85,2.52,10.28,3.77,4.78,1.74,9.57,3.47,14.35,5.2,.96,.35,1.42,.92,1.41,1.77-.01,1.94,.01,3.88,.01,5.82,0,4.2,0,8.4,0,12.6-.13,.88,.34,2.42-1,2.43-8.19-1.1-16.26-3.02-24.39-4.48-1.15-.22-1.67,.15-1.72,1.19-.07,8.08-.01,16.16-.12,24.24,.11,1.74-1.71,1.68-3.1,1.65-7.28,0-14.56-.02-21.84-.03-1-.04-2.74,.14-2.83-1.18-.15-5.06,.07-10.12,.09-15.19hM 0Z"/><path class="cls-2" d="M1347.42,98.4c-12.27-.05-24.53,.75-36.79,.43,0-.35-.11-.7,.02-.97,2.92-6.36,5.9-12.7,8.77-19.08,1.32-2.41-1.29-1.85-2.81-1.94-8.35,.12-16.7,.25-25.05,.36-.82-.15-3,.37-2.92-.84,4.59-7.32,9.1-14.75,14.04-21.85,8.48-.33,16.97-.04,25.46-.13,2.83-.12,1.62,1.18,.99,2.91-2.56,5.78-5.13,11.56-7.7,17.34-1.1,1.99-.17,2.04,1.68,2.03,9.96-.16,19.95-.04,29.9-.35l-.13-.09c-.65,6.06-2.84,11.98-4.07,17.98-.42,1.47-.38,3.1-1.48,4.27l.1-.07Z"/><path class="cls-2" d="M738.59,624.65c-.18-.55,.07-1.04,.32-1M .54,2.04-4.06,4.07-8.12,6.11-12.19l-.09,.06c3.48,1.08,7.19,1.81,10.65,2.68,.35-.18,.64-.26,.78-.42,3.09-3.53,6.17-7.06,9.24-10.6,.86-1.02-.91-1.4-1.68-1.61-2.57-.78-5.31-1.43-7.8-2.38-.33-.58,.07-.91,.37-1.22,3.26-3.62,7.02-7.08,10.58-10.46-.14-.62-.64-.81-1.1-.97-2.85-1.03-5.68-1.92-8.51-3.06,.27-1.23,1.4-1.79,2.26-2.62,3.35-2.8,6.71-5.6,10.07-8.39,.46-.38,1-.73,.93-1.47-2.81-1.27-5.95-2.34-8.69-3.9-.16-.09-.25-.42-.17-.56,4.74-4.32,10.57-7.58,15.69-11.46-.01-.6-.34-.89-.82-1.14-1.92-1-3.84-2-5.74-3.01-.52-.41-1.9M 4-.73-1.67-1.53,5.7-4.53,12.57-7.78,18.74-11.59,.37,.07,.68,.07,.87,.18,2.74,1.86,5.98,3.25,8.42,5.43-.34,.65-1.13,.9-1.78,1.27-5.42,3.2-11.02,6.14-16.34,9.49-.4,.28-.34,.83,.16,1.1,2.7,1.4,5.42,2.8,8.08,4.27,.59,.74-1.24,1.41-1.72,1.86-4.41,2.67-8.49,5.65-12.61,8.59-.49,.35-.99,.69-1.22,1.3,3.01,1.66,6.53,2.58,9.44,4.25-.13,.79-.83,1.16-1.41,1.59-3.66,2.71-7.23,5.49-10.55,8.46-1.85,1.58-.72,1.75,.94,2.38,2.34,.82,4.7,1.61,7.05,2.42,.66,.23,.79,.84,.29,1.32-3.62,3.57-7.52,6.69-10.89,10.52,3.34,1.22,6.51,2.09,9.86,3M .16,.55,.17,.78,.71,.46,1.06-3.18,3.54-6.57,6.79-9.4,10.62,3.61,1.43,7.56,1.81,11,3.19,.22,.48,.04,.86-.18,1.26-1.37,2.46-2.73,4.92-4.08,7.38-.49,1.24-2.5,3.36-.16,3.84,3.47,.83,6.9,1.81,10.33,2.76l-.1-.11c-1.71,3.74-3.5,7.45-5.16,11.21-.33,.69-1.43,.63-2.11,.47-3.23-.84-6.57-1.19-9.7-2.38,.99-4.07,3.01-7.81,4.77-11.64,.28-1.16-1.93-1.09-2.68-1.45-2.85-.66-5.7-1.29-8.55-1.94,1.31-4.09,3.86-7.76,5.73-11.64,.19-.36-.13-.94-.59-1.06-3.06-.78-6.13-1.56-9.2-2.32-.72-.18-1.29,.07-1.6,.66-1.57,2.96-3.11,5.93-4.66,8.9-.67,M .97-.75,2.7-2.2,2.79-3.4-.4-6.76-1.34-10.14-1.95l.16,.13Z"/><path class="cls-2" d="M187.31,103.88c-.68-.5-.54-1.39-.57-2.14,.18-4.31,.37-8.61,.57-12.92,.47-7.42,.87-14.85,1.33-22.27,.27-3.65,.41-7.33,.84-10.96,.27-1.06,1.77-.92,2.65-.97,7.68,.01,15.37,.04,23.05,.07,.75-.05,1.6,.15,1.89,.87-.77,11.35-2.08,22.78-2.79,34.17-.43,5.7-.83,11.4-1.26,17.1-.05,.63,.02,1.31-.71,1.8-8.4-1.24-16.63-3.52-25.07-4.79-.02-.01,.06,.06,.06,.06Z"/><path class="cls-2" d="M1250.55,1339.57c-.5,.55-.56,1.2-.6,1.85-.11,1.94-.22,3.87-.28,5M .81-.24,7.97-.81,15.92-1.4,23.88-.28,5.27-.65,10.54-1.05,15.81-.05,.53-.24,1.21-.85,1.33-8.04,.51-16.15,.02-24.22,.16-1.04,0-2.66,0-2.57-1.36,.53-9.04,1.67-18.04,2.34-27.07,.83-8.46,.78-17.07,2.06-25.45,8.95,1.16,17.78,3.61,26.7,5.16,0,0-.13-.1-.13-.1Z"/><path class="cls-2" d="M1242.38,243.13c22.97,.28,45.86,2.13,68.79,3.27l-.1-.09c-1.62,6.43-3.24,12.86-4.89,19.28-.46,1.77-4,.56-5.41,.72-2.68-.2-5.36-.43-8.03-.66-17.81-1.69-35.67-2.55-53.54-3.27-1.18-.29-5.49,.37-4.85-1.49,2.72-5.91,4.91-12.22,8.14-17.84l-.11,.07Z"M /><path class="cls-2" d="M194.63,1200.02c-12.23-.58-24.49-.83-36.72-1.49-5.51-.27-11.02-.66-16.52-1.01-4.43-.29-8.86-.61-13.29-.92-1.35-.07-1.27-1.1-1.05-2.01,1.39-5.59,2.78-11.19,4.18-16.78,.14-.55,.47-1.15,1.15-1.18,9.41,.32,18.76,1.47,28.15,2.04,13.95,1.17,27.95,1.44,41.91,2.35,.8,.21,.66,1.1,.36,1.67-2.38,5.38-4.77,10.75-7.16,16.13-.23,.51-.49,1-1.15,1.28-.01,0,.12-.06,.12-.06Z"/><path class="cls-2" d="M110.38,1259.01c-.33-.16-.66-.43-1-.45-2.82-.17-5.65-.29-8.47-.43-13.58-.64-27.17-1.23-40.75-2.07-1.88-.11-3.7M 5-.32-5.63-.42-3.38-.19-3.39-.21-3.37-2.8,.05-5.6,.09-11.2,.14-16.8,.06-1.09-.2-2.62,1.45-2.54,3.36,.12,6.71,.44,10.06,.71,17.16,1.54,34.36,2.54,51.57,3.33,1.3,.08,1.76,.47,1.58,1.39-.57,2.88-1.37,5.71-2.09,8.56-.78,3.06-1.57,6.12-2.32,9.18-.21,.86-.48,1.68-1.23,2.35,0,0,.06-.02,.06-.02Z"/><path class="cls-2" d="M1192.08,368.5c.24,.66-.03,1.27-.23,1.9-1.44,5.02-3.57,9.91-4.51,15.03l.09-.09c-26.35-3.7-52.84-6.69-79.4-8.33,2.15-5.21,4.59-10.31,6.56-15.59l-.1,.05c25.96,1.79,51.91,3.86,77.73,7.14l-.15-.12Z"/><path clasM s="cls-2" d="M329.13,1066.01c-1.6,5.36-4.4,10.4-6.45,15.63l.11-.07c-25.97-1.78-51.94-3.66-77.75-7.14l.1,.1c1.94-5.62,3.42-11.42,5.7-16.91l-.14,.08c26,4.26,52.29,6.46,78.55,8.42l-.13-.12Z"/><path class="cls-2" d="M1181.55,401.46c.03,.42,.18,.87,.07,1.26-1.31,4.73-2.66,9.45-4.01,14.16-.54,1.84-4.35,.12-5.77,.09-24.88-4.32-49.97-8.24-75.16-10.29l.13,.08c1.87-4.99,3.43-10.1,5.55-15,26.57,2.32,53.03,5.89,79.36,9.81l-.17-.12Z"/><path class="cls-2" d="M1320.74,205.65c-1.51,6.97-3.58,13.84-4.93,20.84l.08-.07c-7.5-1.31-15.3M 2-.86-22.92-1.44-13.06-.52-26.12-1.09-39.19-1.2-2.45-.09-2.84-.03-1.7-2.5,2.69-5.86,5.53-11.66,8.09-17.58l-.09,.06c20.21,.86,40.65,.1,60.75,1.98l-.1-.09Z"/><path class="cls-2" d="M177.18,1239.31c-19.76-.78-39.58-.45-59.33-1.69-1.3-.07-1.29-1.1-.94-2.02,1.47-6.34,3.54-12.57,4.51-19.01l-.08,.06c21.14,2.05,42.62,1.92,63.88,2.69,.31,.02,.73,.45,.63,.68-2.74,6.52-6.2,12.76-8.77,19.34l.09-.06Z"/><path class="cls-2" d="M434.04,362.36c-1.33-.36-2.67-.14-3.98,0-4,.41-8.03,.37-12.05,.48-.95,.03-1.88-.02-2.73-.44-.01,0,.04,.0M 5,.03,.04,.2-.26,.56-.5,.61-.78,.79-4.79,1.03-9.65,1.62-14.47,1.77-15.12,3.79-30.24,6.47-45.22,.1-.54,.94-.84,1.53-.83,5.52-.12,11.04-.24,16.56-.35,.78-.05,2.22,.08,2.08,.98-1.95,12.39-4.57,24.68-6.42,37.09-1.11,7.15-1.99,14.33-2.9,21.51-.1,.74-.16,1.51-.91,2.07l.09-.07Z"/><path class="cls-2" d="M1021.12,1080.62c-.96,1.08-.73,2.68-.99,4.03-.67,6.33-1.26,12.67-1.99,18.99-1.59,12.43-3.51,24.83-5.55,37.2-.18,1.29-1.97,.93-2.96,1-4.17,.09-8.35,.18-12.52,.26-1.19-.19-4.4,.72-4.67-.77,1.58-11.01,4.23-21.89,5.66-32.94,.74M -4.81,1.49-9.61,2.18-14.43,.82-4.35,.65-8.88,2.01-13.11l-.11,.08c5.28-.63,10.61-.65,15.92-.79,1.07-.03,2.14-.04,3.06,.52,0,0-.04-.05-.04-.05Z"/><path class="cls-2" d="M159.41,140.39c-.07-13.73-.08-27.52,.64-41.24,.02-.41,.65-.78,1.12-.68,8.71,1.79,17.47,3.37,26.13,5.41,.01,0-.07-.06-.05-.05-.47,.28-.62,.67-.65,1.11-.14,2.25-.34,4.51-.41,6.76-.42,12.57-.57,25.15-1.02,37.72-.13,.76-1.37,.54-1.94,.24-7.93-3.17-16.06-5.96-23.89-9.35l.08,.08Z"/><path class="cls-2" d="M1190.56,224.46c19.87-.69,39.77-1,59.65-.56,.27,1.77-M 1.07,3.31-1.61,4.97-2.03,4.77-4.39,9.42-6.22,14.27l.11-.08c-20.85-.39-41.72-.07-62.58,.02-.77-.28-.14-1.15,.11-1.64,3.54-5.68,7.09-11.36,10.64-17.03l-.09,.06Z"/><path class="cls-2" d="M1277.06,1302.67c.32,13.68,.05,27.54-.41,41.24-.05,.45-.62,.79-1.11,.69-8.37-1.5-16.65-3.43-24.99-5.03,0,0,.13,.1,.13,.11-.58-.67-.42-1.44-.4-2.19,.13-4.74,.31-9.48,.43-14.21,.32-9.9,.3-19.82,.8-29.71,.19-.59,1.22-.41,1.7-.19,8.05,2.97,15.97,6.21,23.94,9.37l-.08-.07Z"/><path class="cls-2" d="M644.68,819.77s-.02,.03-.04,.04c-.02,0-.05,M .01-.07,.01l.11-.05Z"/><path class="cls-2" d="M668.97,826.23s-.04,.05-.06,.07c-.01-.01-.02-.01-.03-.01l.09-.06Z"/><path class="cls-2" d="M680.25,844.8c-2.69,3.56-6.15,6.52-9.43,9.65-.62,.56-1.38,1.06-1.5,1.96,3.18,1.3,6.64,2.21,9.95,3.7-4.28,4.14-8.87,7.6-13.34,11.48-.64,.91,.84,1.2,1.43,1.54,2.32,1.07,4.84,1.83,7.03,3.15,.15,.11,.19,.4,.14,.58-2.02,2.27-4.98,3.67-7.38,5.57l-5.21-7.97c.89-.62,1.77-1.24,2.5-1.94-.1-.55-.47-.82-.97-1.03-1.6-.66-3.19-1.32-4.77-1.98l-2.13-3.26c3.64-2.78,7.27-5.58,10.64-8.58,.45-.4,.91-M .79,.83-1.47-3.14-1.35-6.71-2.07-9.75-3.54-.03-.73,.53-1.08,.95-1.47,3.27-3.15,6.71-6.14,9.88-9.39,.48-.6-.41-1-.87-1.16-3.15-.94-6.3-1.87-9.38-2.78-.7,.03-.99,.42-1.32,.75-3.42,3.38-7.12,6.77-11.02,9.74-.84,.04-1.23-.17-1.93-.42l-4.92-7.53c2.18-1.99,4.64-3.77,6.55-5.99-.36-.62-.98-.81-1.6-1.01-3.18-1.23-6.63-1.75-9.56-3.53,3.44-3.27,6.56-6.49,9.57-10.06,3.68,.74,7.32,2.04,10.96,3,.34,.09,.62,.34,.98,.56-2.63,3.61-5.95,6.68-8.96,9.99-.32,.33-.12,.91,.37,1.07,3.14,.97,6.28,1.93,9.42,2.89,.46,.16,1.13,0,1.5-.19,3.67-M 3.31,6.84-7.13,10-10.83,3.53,.67,6.91,1.7,10.35,2.59,.54,.13,.68,.58,.31,1.03-2.9,3.52-5.86,6.99-8.88,10.41-.31,.35-.1,.91,.41,1.06,2.96,.99,6.1,1.6,8.96,2.85,.16,.09,.27,.41,.19,.56Z"/><path class="cls-2" d="M1279.57,162.97c-16.21,.57-32.48,1.16-48.7,1.52-1.01-.35,.28-1.6,.53-2.19,4.2-6.24,8.45-12.45,12.62-18.7l-.12,.05c9-.16,17.99-.57,26.98-.93,5.36-.36,10.74-.37,16.11-.42,.65,0,1.33-.06,1.91,.28,.28,.56-.05,1.05-.28,1.54-3.04,6.31-5.89,12.71-9.13,18.92l.07-.07Z"/><path class="cls-2" d="M447.35,413.78c-5.31,.65-1M 0.6,1.53-15.94,1.98-1.4,.13-1.22-1.36-1.2-2.3,.73-12.79,1.43-25.6,2.94-38.33,.41-3.75,.83-7.5,1.23-11.25,.06-.53,.13-1.07-.34-1.53-.01,0-.1,.08-.1,.08,5.64-1.28,11.84-.51,17.38-2.42,.61-.2,1.75-.62,1.96,.25-2.25,17.81-5.32,35.63-6.02,53.58l.07-.06Z"/><path class="cls-2" d="M988.84,1029.53c5.44-1.18,11.06-1.89,16.61-2.23,.96,.13,.82,1.2,.84,1.92-.54,17.3-2.84,34.49-4.12,51.72l.11-.08c-5.3,.55-10.79,.31-15.94,1.75-1.13,.14-3.35,1.2-2.99-.86,1.98-14.1,4.04-28.19,5.19-42.38,.26-2.79,.5-5.58,.75-8.37,.05-.54,.05-1.08-.3M 3-1.55l-.12,.09Z"/><path class="cls-2" d="M88.77,1344.92c-1.36-.59-2.89-.33-4.34-.4-9.57-.04-19.14-.05-28.71-.09-5.56-.19-4.99,.35-4.98-4.06,.13-5.81-.14-11.65,.29-17.44,.45-1.14,2.21-.59,3.2-.73,6.06,.11,12.12,.25,18.19,.33,7.54,.26,15.13-.22,22.63,.41,0,0-.09-.05-.08-.04-.58,.35-.73,.89-.86,1.4-1.97,6.85-3.06,14.01-5.45,20.7l.11-.08Z"/><path class="cls-2" d="M1347.32,98.47c12.37,.12,24.75-.14,37.12,.23,1.2,.1,1.16,1.22,1.18,2.1,0,6.02-.03,12.04-.05,18.07,.03,.73-.1,1.72-.95,1.89-13.97,.01-27.97-.55-41.95-.38l.15,M .12c-.27-.51-.22-1.05-.09-1.58,1.42-6.85,4.06-13.57,4.7-20.52l-.1,.07Z"/><path class="cls-2" d="M985.93,364.71c20.25-1.6,40.49-3.31,60.81-3.87l-.16-.08c-2.41,4.77-4.65,9.63-7.23,14.32-19.56,1.02-39.21,1.52-58.74,3.44-.78,.06-1.32-.44-1.05-1,2.07-4.32,4.27-8.59,6.44-12.87l-.08,.06Z"/><path class="cls-2" d="M78.48,81.53c-.47-8.03-.07-16.12-.19-24.17-.16-3.09,.55-2.98,3.42-2.95,6.99,0,13.99,0,20.98,.02,1.67,.05,3.55-.3,3.31,2.05-.16,9.88,.07,19.79-.32,29.66-.28,1-1.97,.6-2.78,.5-8.11-1.85-16.56-2.83-24.48-5.18l.08,.07M Z"/><path class="cls-2" d="M413.37,465.57c-.89-14.74-.8-29.49-.79-44.25,0-1.17-.1-2.36,.31-3.58,5-1,10.15-.93,15.23-1.47,.55-.02,1.47-.03,1.71,.54-.3,15.59-.66,31.22-.38,46.82l.09-.07c-4,1.13-8.26,1.29-12.37,1.93-1.28,.15-2.6,.43-3.9,0l.09,.08Z"/><path class="cls-2" d="M472.27,1012.33c1.27,3.76,1.53,7.95,1.91,11.91,.02,.55-.14,1.04-.67,1.43,0,0,.09-.06,.08-.05-6.1-.28-12.31,.67-18.45,.72-13.4,.48-26.84,.64-40.24,.26l.11,.09c-.7-4.54-.54-9.19-1.63-13.65l-.13,.1c19.71-.05,39.52,1,59.18-.67l-.15-.13Z"/><path class="clM s-2" d="M962.39,417.78c19.92-1.71,40.02-1.89,60-1.32l-.11-.09c.98,4.49,.33,9.24,1.64,13.65l.13-.1c-19.05-.16-38.11-.66-57.16,.22-.79-.06-2.08,.16-2.43-.71-.91-3.86-.85-7.94-1.92-11.78l-.14,.12Z"/><path class="cls-2" d="M88.66,1345c2.41-1.01,5.32-.26,7.9-.52,7.51-.12,15.01-.26,22.52-.38,1.88-.03,3.75-.05,5.63-.04,1.15,0,1.87,.24,1.36,1.33-3.01,6.85-6.74,13.52-9.3,20.51l.13-.07c-.55,.39-1.23,.37-1.9,.39-9.55,.16-19.1,.44-28.65,.39-.72-.09-2.16,.16-2.27-.82,.91-7.06,3.83-13.87,4.7-20.88,0,0-.12,.09-.12,.09Z"/><path clM ass="cls-2" d="M78.41,81.46c-.27,8.28-.07,16.56-.05,24.85-.05,2.06,0,2.7-2.28,1.9-8.51-3.24-17.18-6.07-25.61-9.51-.35-6.57-.05-13.15-.14-19.73,0-.82-.1-2.05,1.01-2.14,9.12,1.01,18.04,3.85,27.15,4.7l-.08-.07Z"/><path class="cls-2" d="M116.77,1365.9c9.72,.64,19.64-.28,29.42-.17,2.04,.03,2.46,.28,1.21,2.14-4.29,6.7-8.59,13.4-12.9,20.09-.52,.91-1.85,.84-2.82,.86-8.18-.15-16.42,.43-24.57-.15-.54-.22-.43-.99-.25-1.43,3.08-6.88,6.18-13.76,9.29-20.63,.13-.28,.47-.51,.72-.77,.01,0-.12,.07-.12,.07Z"/><path class="cls-2" d="MM 83.24,1367.12c-.62,4.99-2.25,9.88-3.29,14.81-.59,2.07-.83,4.3-1.68,6.28-.56,.68-1.67,.66-2.5,.68-7.52,0-15.05,0-22.57,0-1.45-.01-2.97,0-2.84-1.87,.03-6.23,.07-12.46,.11-18.68-.14-1.92,1.65-1.58,3.01-1.66,9-.02,18-.03,27-.02,.91,0,1.89-.19,2.75,.47Z"/><path class="cls-2" d="M1352.99,76.31c1.94-5.74,2.98-11.81,4.33-17.71,1.22-4.75,0-4.2,6.17-4.22,6.33-.02,12.66,0,19,0,1.26,.12,3.32-.4,3.15,1.51,0,6.25,0,12.49-.02,18.74-.05,.64-.04,1.52-.86,1.64-10.61,.2-21.29,.31-31.91-.04,0,0,.12,.09,.12,.09Z"/><path class="cls-2" dM ="M461.07,688.6c-4-6.21-7.22-12.95-10.93-19.35-.32-.59-.7-1.17-.44-1.84,3.12-.66,7.11-.02,10.4-.21,.52-.02,1.48,0,1.57-.64-1.64-4.45-4.1-8.6-5.97-12.96-1.47-3.22-2.81-6.49-4.2-9.74-.76-1.56,1.44-1.86,2.41-2.46,3.03-1.35,5.83-3.25,8.96-4.29,.73,.23,.76,.82,.96,1.28,3.23,7.55,6.23,15.1,10.12,22.39l.05-.07c-3.37,2.1-6.8,4.13-10.51,5.85-1.16,.4-.94,1.3-.45,2.17,3.68,6.38,7,13,10.91,19.24l.15-.11c-4.29,.92-8.76,.58-13.13,.67l.08,.06Z"/><path class="cls-2" d="M727.04,622.02c3.85,.86,7.73,1.61,11.55,2.63l-.16-.13c-2.15,3.M 91-3.58,8.27-5.44,12.35-.12,.28-.01,.61-.01,1.01,3.67,.93,7.5,1.43,11.22,2.17-2.06,4.08-2.68,8.77-4.59,12.9-3.76,.15-7.18-.87-10.88-1.18,.7-4.36,2.44-8.54,3.39-12.86,.14-.55-.29-1.07-.98-1.2-3.15-.36-6.27-1.61-9.43-1.31-1.65,4.45-3.02,8.91-4.24,13.4-3.34,.1-6.6-.95-9.92-1.3-.47-.07-1.11,.29-1.21,.67-1.33,4.51-2.05,9.11-3.46,13.59-3.45-1.02-7.07-1.3-10.6-1.96,1.54-4.68,2.1-9.64,3.86-14.23,3.29,.03,6.3,1.26,9.58,1.34,.32,.01,.79-.22,.96-.45,1.29-3.46,2.26-7.1,3.46-10.62,.47-.9,.47-2.66,1.84-2.58,2.9,.44,5.79,.98,8.69M ,1.44,.71,.11,1.24-.21,1.48-.83,1.68-4.31,3.36-8.63,5.03-12.94l-.15,.08Z"/><path class="cls-2" d="M520.88,996.23c.38,3.67,2.1,7.11,2.48,10.77,.06,1.23-3.57,1.13-4.55,1.42-15.46,1.59-30.99,3.92-46.54,3.91l.15,.13c.05-2.71-.72-5.33-1.29-7.97-.32-1.47-.31-3.01-1.16-4.4l-.1,.09c17.09-.57,34.11-2.07,51.11-3.89l-.11-.07Z"/><path class="cls-2" d="M657.18,945.57s.05,0,.07,.01c-.04,.02-.09,.05-.13,.07,.01-.01,.03-.04,.04-.06,.01-.01,.02-.01,.02-.02Z"/><path class="cls-2" d="M663.19,952.13c-1.58-1.96-3.16-3.92-4.73-5.88-.29-M .36-.65-.62-1.21-.67,.4-.24,.79-.48,1.19-.71l4.75,7.26Z"/><path class="cls-2" d="M714.82,932.02c-3.23,2.77-6.71,5.3-10.19,7.77l-5.49-8.41c2.84-2.07,5.68-4.15,8.52-6.22,.6-.5,1.64-1.29,2.33-.57,1.71,2.18,3.43,4.36,5.09,6.57,.14,.19-.03,.67-.26,.86Z"/><path class="cls-2" d="M865.4,432.62c14.89-3.8,30.16-6.89,45.39-9.04l-.13-.09c.91,3.89,1.68,7.79,2.55,11.7-14.99,2.24-29.82,5.03-44.59,8.34l.14,.07c-1.54-3.6-2.56-7.31-3.27-11.07l-.08,.09Z"/><path class="cls-2" d="M516.76,985.37c9.05-1.64,18.28-2.33,27.33-3.97,4.34-.7,8M .64-1.58,12.96-2.36,.94-.08,2.26-.62,2.89,.33,1.32,2.81,2.64,5.62,3.94,8.44,.25,.54-.17,1.07-.87,1.23-13.95,2.94-27.98,5.29-42.13,7.19l.11,.07c-.21-.27-.51-.53-.61-.82-1.17-3.41-2.31-6.83-3.47-10.25l-.14,.14Z"/><path class="cls-2" d="M528.88,937.4c2.56,3.01,5.12,6.02,7.68,9.02,.31,.37,.5,.74,.32,1.26-6.06,1.23-12.47,1.17-18.63,1.88-7.74,.24-15.52,1.11-23.25,.77l.09,.06c-2.48-3.43-4.97-6.85-7.45-10.28-.38-.53,.03-1.08,.8-1.12,13.52-.13,27.06-.18,40.53-1.54l-.09-.05Z"/><path class="cls-2" d="M785.34,731.3c2.76,.25,5.M 37,1.32,8.06,1.96,1.13,.39,3.06,1,3.14-.53,.59-3.74,1.18-7.47,1.92-11.18,.56-1.44,2.73-.19,3.8,.06,2.48,.84,4.94,1.69,7.41,2.53l-.09-.09c0,3.19-1.15,6.36-1.59,9.54-.37,1.28-.29,2.86-1.23,3.87-3.19-.73-5.93-2.02-9.06-2.89-.88-.28-1.51,.09-1.66,.9-.67,3.93-1.26,7.87-1.96,11.8-.09,.41-.7,.73-1.19,.59-2.52-.72-5.04-1.46-7.56-2.19-.64-.18-1.29-.3-1.99,0-1.09,3.9-1.34,8.06-2.13,12.05-.12,.65-.44,1.44-1.25,1.4-3.41-.37-6.65-2.07-10.09-1.96,.71-.96,.75-2.05,.9-3.11,.53-3.74,1.08-7.47,1.62-11.21,15.3,2.35,9.2,5.41,13.04-11.M 64l-.1,.1Z"/><path class="cls-2" d="M711.76,895.93c-4.77,5.15-10.75,9.33-16.24,13.85-.37,.33-.38,.84,.02,1.16,2.26,1.83,4.58,3.55,6.71,5.53-2.33,2.72-5.69,4.42-8.49,6.69l-5.38-8.23c6.54-5.32,8.26-3.2,.57-8.53-1.34-1.21-3.39-1.51-1.01-3.11,5.15-3.89,10.17-7.95,15.1-12.1,.82-.66,1.72-.05,2.45,.39,5.21,3.11,6.52,4,6.27,4.35Z"/><path class="cls-2" d="M727.45,907.61c1.09-.32,1.6-.98,2.18-1.57,3.76-3.8,7.51-7.6,11.26-11.4,.75-.76,1.5-1.51,2.3-2.24,.12-.11,.47-.08,.72-.07,2.09,1.68,3.87,3.88,5.83,5.75,.34,.34,.3,.8-.08,1.M 18-4.84,4.9-9.68,9.8-14.53,14.69-.38,.37-1.03,.92-1.59,.61-1.68-1.46-2.84-3.39-4.33-5.03-1.28-1.5-1.66-1.45-2.95-.25-5.03,4.78-10.48,9.32-15.97,13.7-.43,.33-1.11,.34-1.42,.02-1.98-2.03-3.94-4.07-5.89-6.08,.08-.25,.07-.51,.22-.63,5.85-4.58,11.31-9.62,16.96-14.27,.22-.07,.61-.1,.74,0,2.32,1.69,4.56,3.57,6.55,5.59Z"/><path class="cls-2" d="M607.51,988.47c-12.32,3.76-24.67,7.39-37.23,10.35-.91,.32-2.21,.09-2.43-.96-.92-2.98-2.46-5.88-2.99-8.93,4.04-1.63,8.45-2.15,12.65-3.32,8.35-1.71,17.24-5.17,25.12-6.74l-.11-.08c1.63M ,3.26,3.26,6.51,4.89,9.77l.1-.09Z"/><path class="cls-2" d="M723.86,589.06c3.15,.89,6.23,1.92,9.27,3.02,.28,.16,.32,.29,.56,.59-3.14,4.17-6.85,8.44-9.85,12.69,.34,.57,.75,.82,1.28,.96,2.68,.69,5.38,1.3,8.03,2.1,.32,.09,.56,.54,.43,.8-2.17,4.27-4.35,8.54-6.53,12.8l.15-.08c-3.59-.2-7.01-1.88-10.59-1.84,1.26-4.57,3.81-8.68,6.05-12.9,.21-.37,.55-.74,.22-1.21-2.83-1.67-6.59-1.57-9.45-3.24,3.18-4.84,7.08-9.12,10.55-13.75l-.11,.08Z"/><path class="cls-2" d="M784.62,634.96c1.25-2.95,3.12-5.68,4.81-8.48,2.2-3.64,2.64-3.13-2.1M 7-4.53-2.41-.87-5.27-1.04-7.44-2.36,1.82-3.18,7.12-8.03,9.75-10.6,4.07,.95,8.29,2.3,12.08,4.05l-.14-.16c-8.54,8.26-8.64,8.37-9.43,10.36,13.94,5.46,13.28,.42,5.36,14.02-.43,.92-1.47,.84-2.29,.53-3.55-.98-7.1-1.96-10.64-2.94l.1,.11Z"/><path class="cls-2" d="M632.41,815.89c.07,.01,.13,.01,.2,.01l-.06,.09-.14-.1Z"/><path class="cls-2" d="M644.57,819.82s.03-.05,.05-.07c.02,.01,.04,.01,.06,.02l-.11,.05Z"/><path class="cls-2" d="M651.2,808.83c-1.82,3.81-4.13,7.38-6.58,10.92-4.01-1.21-7.94-2.87-12.01-3.85,4.58-7.34,5.61-8.M 99,6.04-10.27l1.48-1c3.41,1.22,7,2.05,10.47,3.13,.46,.13,.75,.69,.6,1.07Z"/><path class="cls-2" d="M635.78,966.46s.02,.03,.03,.05c-.05,.02-.1,.04-.15,.06l.12-.11Z"/><path class="cls-2" d="M641.35,975.54s.05-.01,.08-.02c.02,.02,.03,.05,.05,.07l-.13-.05Z"/><path class="cls-2" d="M669.62,962.01c-9.07,4.87-18.4,9.92-28.19,13.51-2.13-2.83-3.75-6.02-5.62-9.01,8.99-3.56,17.6-7.65,26.01-12.01,.8-.32,1.56-1.09,2.46-.68,.01,0,.01,.01,.02,.01,1.7,1.72,3.98,5.57,5.26,8.06,.03,.04,.05,.08,.06,.12Z"/><path class="cls-2" d="M669.M 73,961.95l-.07,.08h-.02s-.01-.01-.02-.02c.01,0,.01-.01,.02-.01,.03-.02,.06-.03,.09-.05Z"/><path class="cls-2" d="M624.46,671.77c1.5-4.94,2-10.29,4.14-14.98l-.18,.12c2.79,1.49,5.58,2.98,8.62,4.12,.21,.08,.52,.01,.92,.01,1.2-4.6,2.45-9.22,3.74-13.8,.07-.26,.68-.52,.95-.42,2.9,1.1,5.74,2.3,8.48,3.55,.24,1.07-.13,2-.35,2.94-.95,4-1.9,8-2.85,12-3-.78-5.85-2.09-8.75-3.17-.62-.23-1.43,.07-1.56,.6-.37,1.47-.73,2.93-1.06,4.41-.59,2.63-1.15,5.26-1.72,7.9-.17,.78-.79,1.01-1.74,.64-2.94-1.24-5.79-2.66-8.7-3.98l.07,.06Z"/><pathM class="cls-2" d="M815.24,698.24c-.34,3.9-1.81,7.8-2.56,11.69-.1,.41-.76,.71-1.24,.56-3.23-1.06-6.44-2.13-9.71-3.04-.64-.07-.89,.67-.97,1.17-.59,3.18-1.15,6.37-1.74,9.55-.22,.71-.27,1.69-1.16,1.87-3.67-.87-7.32-2.11-10.98-3.1l.15,.11c1.5-4.26,1.01-8.8,2.8-13.01,3.59,.48,6.83,1.96,10.36,2.64,.26,.05,.83-.27,.92-.51,1-3.29,1.41-6.76,2.21-10.12,.2-.72,.45-1.77,1.45-1.6,3.65,1.05,7.25,2.21,10.57,3.84l-.08-.06Z"/><path class="cls-2" d="M977.09,735.15h-.04s-.02-.05-.04-.07l.08,.07Z"/><path class="cls-2" d="M988.59,755.08M c-2.59,.01-5.18-.12-7.75-.42l2.26-10.17c.51,1.2,7.26,10.63,5.49,10.59Z"/><path class="cls-2" d="M459.4,707.92c3.86,5.43,7.72,10.86,11.58,16.29,.39,.76,1.46,1.48,.92,2.35-4.69,.22-9.4-.38-14.09-.51l.04,.02c-3.66-5.25-7.33-10.49-10.97-15.75-.31-.73-2.81-3.38-1.36-3.6,4.66,.24,9.28,1.08,13.97,1.25l-.09-.06Z"/><path class="cls-2" d="M459.48,707.97c-4.16-6.45-8.72-12.73-11.99-19.56,.05-.44,.75-.6,1.17-.56,4.15,.12,8.25,.74,12.41,.74l-.09-.06c3.5,6.29,7.62,12.37,11.6,18.45,1.91,2.43-11.82,.76-13.19,.94l.09,.06Z"/><path cM lass="cls-2" d="M700.59,557.03c-4.47,4.82-8.53,9.93-12.65,14.92-.12,.11-.55,.13-.72,.05-2.45-1.31-4.8-3.13-7.02-4.59,0-.37-.1-.63,.01-.79,3.94-5.05,7.71-10.47,12.38-15.01,.43-.21,1.04-.03,1.4,.26,2.16,1.76,4.79,3.06,6.59,5.16Z"/><path class="cls-2" d="M690.14,863.66c2.13,1.15,4.56,1.84,6.79,2.84,.8,.36,1.82,.48,2.33,1.21-.03,.19,.02,.44-.11,.56-4.06,4.03-8.23,7.98-12.77,11.67-1.06,.86-1.38,.89-2.81,.25-2.24-.99-4.46-2-6.69-3.01-.46-.21-.88-.45-1.05-1,4.9-4.11,9.8-8.3,14.41-12.57,0,0-.1,.05-.1,.05Z"/><path class="clM s-2" d="M786.87,716.94c.45,1.39,.03,2.77-.16,4.14-.38,3.41-1.2,6.79-1.37,10.22l.1-.1c-3.72-1.07-7.6-2.11-11.48-2.49,3.73-15.49-2.76-15.13,13.06-11.66l-.15-.11Z"/><path class="cls-2" d="M1226.39,912.61c-.05,.07-.09,.19-.14,.19-.31,0-.28-.04,.09-.09,0-.01,.05-.1,.05-.1Z"/><path class="cls-2" d="M1277.81,882.71v-.2s.02,.17,0,.2Z"/><path class="cls-2" d="M431.1,753.22c-.28-.18-.27-.23,.03-.15-.04,.06-.09,.13-.13,.19l.1-.05Z"/><path class="cls-2" d="M1238.28,860.53s.12-.06,.12-.06c0,0-.12,.06-.12,.06Z"/><path class="clsM -2" d="M391.07,781.51l.28-.25s-.13,.14-.24,.25h-.03Z"/><path class="cls-2" d="M479.62,854.75l.15,.02c-.08-.1-.05-.11-.15-.02Z"/><path class="cls-2" d="M246.67,644.62l.11,.06c0-.15,.02-.14-.11-.06Z"/><path class="cls-2" d="M373.65,839.21l.27,.03c-.13,.19-.19,.16-.18-.09l-.08,.07Z"/><path class="cls-2" d="M1035.31,731.86l-.31-.14c.26-.16,.33-.1,.22,.19l.09-.06Z"/><path class="cls-2" d="M1084.39,835.72l-.3,.07c.09-.03,.19-.07,.29-.11,0,0,0,.04,0,.04Z"/><path class="cls-2" d="M1026.35,667.9c.29-.06,.4,.01,.33,.2-.21,.0M 3-.27-.04-.25-.26l-.08,.06Z"/><path class="cls-2" d="M213.68,633.48l-.23,.11c.12,0,.17,.02,.23-.11Z"/><path class="cls-2" d="M833.42,998.54l-.03-.19c-.19,.08-.15,.11,.14,.11,0,0-.11,.08-.11,.08Z"/><path class="cls-2" d="M1022.13,631.38l-.19,.07c.1-.08,.1-.19,.19-.07Z"/><path class="cls-2" d="M211.94,631.09s.07-.07,.08-.06-.08,.06-.08,.06Z"/><path class="cls-2" d="M996.52,720.13l-.17,.09c.11,.02,.11,0,.17-.09Z"/><path class="cls-2" d="M798.45,1027.99l-.16-.05s.14,.05,.16,.05Z"/><path class="cls-2" d="M1068.1,763.45cM .09-.16,.18-.45,.28-.45,.35-.01,.34,.09-.02,.19-.09,.03-.15,.12-.24,.21l-.02,.05Z"/><path class="cls-2" d="M808.41,1040.68l-.17-.18c.07,.05,.14,.11,.21,.16,0,0-.05,.02-.05,.02Z"/><path class="cls-2" d="M144.86,784.76l-.17,.11c.11,0,.12-.01,.17-.11Z"/><path class="cls-2" d="M1255.01,1043.53c.08-.04,.16-.08,.24-.13-.1,.04-.2,.08-.31,.12-.02,0,.08,0,.08,0Z"/><path class="cls-2" d="M684.58,1043.96c.13,0,.34-.03,.37,.02,.19,.24,.09,.25-.26-.02-.03,0-.12,0-.12,0Z"/><path class="cls-2" d="M706.46,1045.11l-.06-.12c.08,.05,M .24,.03,.06,.12Z"/><path class="cls-2" d="M683.51,1046.07l.05-.26c.3,.13,.25,.19-.14,.19l.09,.07Z"/><path class="cls-2" d="M704.99,1047.05l-.11-.14c.13,.07,.22,.03,.11,.14Z"/><path class="cls-2" d="M1209.59,764.46l-.21,.18c.04-.06,.09-.11,.14-.18,.01,0,.07,0,.07,0Z"/><path class="cls-2" d="M1070.61,700.61l-.42,.2c.1-.04,.47-.27,.42-.2Z"/><path class="cls-2" d="M410.11,698.25l-.23-.12c.26-.09,.3-.03,.14,.18l.1-.05Z"/><path class="cls-2" d="M1090.72,696.67l-.14,.07c.06-.08,.04-.19,.14-.07Z"/><path class="cls-2" d="M7M 73.96,1085.41l.27-.12c0,.2-.11,.22-.33,.04,0,0,.06,.08,.06,.08Z"/><path class="cls-2" d="M255.79,599.57l.51-.18c-.14,.03-.43,.2-.51,.18Z"/><path class="cls-2" d="M716.24,1100.54l-.37-.32c.24-.03,.18,.12,.24,.29,.02,0,.13,.04,.13,.04Z"/><path class="cls-2" d="M1098.79,663.83c-.08,.07-.21,.21-.24,.2-.19-.08-.09-.16,.3-.22,.03,0-.06,.02-.06,.02Z"/><path class="cls-2" d="M622.23,1113.6c-.12-.1-.23-.2-.35-.3,.25,.02,.32,.12,.36,.35,0,.02-.01-.06-.01-.06Z"/><path class="cls-2" d="M644.14,1119.52v-.18c.1,.11,.19,.12,0,.18M Z"/><path class="cls-2" d="M308.21,575.41l-.1-.06c0,.15-.03,.14,.1,.06Z"/><path class="cls-2" d="M778.15,1134.64v-.27c.35,.06,.31,.13-.09,.22l.09,.06Z"/><path class="cls-2" d="M587.13,1155.85l.04,.21c-.26,0-.25-.05,.05-.15l-.1-.06Z"/><path class="cls-2" d="M603.08,1167.2v.14c-.15-.07-.15-.06,0-.14Z"/><path class="cls-2" d="M376.96,530.78l-.21,.04,.11-.13c0,.06,.01,.11,.02,.16l.08-.08Z"/><path class="cls-2" d="M1005.34,689.87l.31,.13c-.25,.17-.32,.11-.22-.18l-.09,.06Z"/><path class="cls-2" d="M521.47,1192.99l.23,.39M c-.08-.13-.16-.26-.24-.42,0-.02,.01,.03,.01,.03Z"/><path class="cls-2" d="M595.35,494.65v-.16c.18,.12,.15,.15-.08,.09l.08,.07Z"/><path class="cls-2" d="M169.33,463.29l-.27,.08c.21,.14,.25,.09,.11-.13,0,0,.16,.05,.16,.05Z"/><path class="cls-2" d="M410.15,775.13l-.16-.02c.08,.12,.06,.11,.16,.02Z"/><path class="cls-2" d="M553.58,1221.02l-.19-.22c.07,.07,.15,.14,.23,.21,0,0-.04,0-.04,0Z"/><path class="cls-2" d="M626.12,1220.64c.06,.7-1.41,.28-.17-.14l.17,.14Z"/><path class="cls-2" d="M636.31,416.7l-.04,.19c.24-.05,.2-.M 09-.1-.12,0,0,.14-.07,.14-.07Z"/><path class="cls-2" d="M558.32,1240.31l.46,.32c-.12-.09-.24-.18-.39-.27-.03,0-.07-.04-.07-.04Z"/><path class="cls-2" d="M474.03,1241.29l-.19,.13c-.01-.2,.07-.21,.25-.05,0,0-.06-.08-.06-.08Z"/><path class="cls-2" d="M794.78,321.72v.21c.21-.02,.19-.07-.09-.13,0,0,.09-.08,.09-.08Z"/><path class="cls-2" d="M658.73,308.9l-.19-.21c.07,.07,.15,.14,.23,.2,0,0-.04,0-.04,0Z"/><path class="cls-2" d="M765.08,303.36l-.08-.06,.08,.06Z"/><path class="cls-2" d="M701.82,288.29c.07,.03,.21,.08,.21,.0M 9-.09,.23-.11,.21-.08-.05-.01,0-.13-.04-.13-.04Z"/><path class="cls-2" d="M478,1311.69l.2-.09-.1,.15c-.05-.05-.1-.09-.15-.14,0,0,.05,.09,.05,.09Z"/><path class="cls-2" d="M753.91,266.49l-.26,.15c-.04-.2,.07-.23,.32-.07,0,0-.07-.08-.07-.08Z"/><path class="cls-2" d="M575.15,264.55c.65,.28,.66-.3,.79-.71l-.05-.02c-.4,.12-.77,.2-.74,.68v.04Z"/><path class="cls-2" d="M912.31,250.88c-.17-.36,.47-.5,.58-.18,0,.24-.19,.32-.48,.26l-.1-.08Z"/><path class="cls-2" d="M812.4,245.43l-.02-.22c-.23,.06-.2,.11,.1,.14,0,0-.09,.09-.0M 9,.09Z"/><path class="cls-2" d="M751.97,242.81l-.35-.14c.09,.05,.29,.04,.35,.14Z"/><path class="cls-2" d="M814.01,221.04l-.32-.47c.16,.22,.25,.35,.35,.47,0,0-.03,0-.03,0Z"/><path class="cls-2" d="M1096.81,214.1v-.19c.22,.14,.19,.18-.09,.11l.09,.07Z"/><path class="cls-2" d="M763.38,206.23l.16,.16c-.25,.12-.27,.08-.05-.11,0,0-.11-.05-.11-.05Z"/><path class="cls-2" d="M817.95,191.21l.51,.23c-.19,.04-.25-.1-.42-.2-.03,0-.09-.03-.09-.03Z"/><path class="cls-2" d="M1034.45,166.22l-.08,.21c-.19-.18-.14-.23,.16-.13l-.08-.08M Z"/><path class="cls-2" d="M368.47,679.77l-.14,.14c.04-.16-.04-.23,.14-.14Z"/><path class="cls-2" d="M625.27,773.15l-.12,.11,.06-.12s.04,.01,.06,.01Z"/><path class="cls-2" d="M647.17,738.9c-.03,.05-.07,.09-.09,.14-.02-.01-.05-.02-.07-.03l.16-.11Z"/><path class="cls-2" d="M660.05,727.95s.02,.07,.02,.1c-.04-.01-.09-.03-.13-.04,.03-.01,.11-.06,.11-.06Z"/><path class="cls-2" d="M697.28,705.35s0,.03-.02,.05c-1.02,3.73-.91,7.71-1.5,11.54l-2.89,1.96c-2.78-.16-5.29-.81-8.16-.6-.86,2.13-.65,4.55-1.02,6.81l-8.42,5.7c-3.28-.5M -3.92-.79-4.14,2.8h-.01l-41.67,28.2h-.01l-.22,.15-.02,.02-12.24,8.28c-1.3-.51-2.62-1.01-3.92-1.51,1.01-3.98,3.04-7.69,4.06-11.67,0-.01,.01-.03,.01-.04,.03,.01,.07,.02,.1,.04,3.88,1.29,7.63,2.95,11.61,3.97,2.09-3.75,2.61-8.26,3.64-12.38,0-.02,.01-.03,.01-.05,.03,.02,.06,.04,.09,.05,3.25,1.44,6.91,2.08,10.32,3.15,.65,.18,1.35-.18,1.5-.72,1.07-3.97,1.09-8.29,2.7-12.06,3.29,1.19,6.8,1.78,10.3,2.46,.48,.1,.93-.24,1.02-.76,.72-4.21,1.48-8.46,1.67-12.69,3,.86,6.17,1.18,9.25,1.8,1.72,.35,2.14,.06,2.41-1.34,.42-4.02,1.44-8.M 11,1.16-12.13-.01-.02-.01-.04-.02-.06,3.17,.45,6.33,.93,9.51,1.34,1.59,.21,1.98-.04,2.15-1.22,.21-1.39,.35-2.78,.5-4.17,.27-2.35,.53-4.7,.81-7.05,.1-.85,.58-1.19,1.51-1.13,3.32,.34,6.62,.84,9.93,1.26Z"/><path class="cls-2" d="M673.7,785.56l-.03-.12c.08,0,.16,0,.24,.01l-.21,.11Z"/><path class="cls-2" d="M673.91,783.35c-.17,.68-.42,1.37-.24,2.09-1.48-.05-2.89-.27-4.33-.58l5.05-3.42c-.16,.63-.32,1.27-.48,1.91Z"/><path class="cls-2" d="M998.82,898.63c4.77-1.63,9.81-2.57,14.69-3.93,1.73,12.7,4.63,25.33,5.65,38.14,.02,.5M 4-.47,1-1.18,1.13-4.2,.71-8.38,1.69-12.6,2.24-1.29,.02-1.19-1.45-1.43-2.34-.38-3.32-.68-6.65-1.07-9.97-.84-7.3-2.08-14.55-3.18-21.81-.18-1.17-.21-2.37-.88-3.46Z"/><path class="cls-2" d="M926.05,469.47c-1.5-3.82-4.9-7.1-5.51-11.26,16-2.45,33-2.77,49.28-3.07,2.01,3.99,4.02,7.98,6.03,11.98,.3,.59-.08,.98-.95,1-16.29,0-32.62-.24-48.85,1.35Z"/><path class="cls-2" d="M916.35,446.86c-1.11-3.91-1.88-7.92-3.26-11.74,15.45-1.65,30.87-3.67,46.41-4.46,5.28-.17,4.95-.84,5.61,3.62,.29,1.92,.82,3.81,1.18,5.72,.22,2.11,.76,2.84-1.M 86,2.88-6.72,.23-13.41,.75-20.12,1.13-9.36,.73-18.73,1.39-27.97,2.86Z"/><path class="cls-2" d="M725.48,665.33c2.82,.71,5.76,.87,8.65,1.25,1.99,.26,2.45,.28,2.87-1.68,.7-3.26,1.52-6.5,2.31-9.75,.19-.57,.38-1.46,1.12-1.53,3.73-.06,7.3,1.29,11.02,1.27-1.46,4.49-2.87,9.02-3.34,13.67l.11-.08c-3.55-.45-7.09-1.07-10.66-1.3-.44-.03-1.08,.37-1.16,.74-.27,1.26-.58,2.52-.8,3.78-.45,2.53-.85,5.07-1.26,7.61-.09,.53-.12,1.06,.2,1.56-3.55-.53-7.12-.98-10.68-1.42-1.03-.13-.92-1.14-.82-1.88,.83-4.12,1.18-8.33,2.54-12.33l-.11,.1Z"/>M <path class="cls-2" d="M755.48,642.07c-3.8-.58-7.59-1.7-11.4-1.95,1.8-4.2,2.96-8.73,5.18-12.72,.11-.15,.45-.28,.67-.26,3.83,.15,7.46,1.72,11.27,1.92-2.5,4.02-3.57,8.8-5.72,13.02Z"/><path class="cls-2" d="M759.44,670.42s.09,.01,.13,.01c0,.04-.02,.08-.03,.12l-.1-.13Z"/><path class="cls-2" d="M771.58,672.44s.01-.07,.01-.1"/><path class="cls-2" d="M774.92,659.43c-.45,1.61-.88,3.23-1.33,4.84l-9.87,6.68h-.01c-1.37-.26-2.74-.4-4.14-.52q2.54-10.81,3.76-12.95c3.9,.27,7.74,1.3,11.59,1.95Z"/><path class="cls-2" d="M751.34,654M .97c1.26-4.35,3.27-8.57,4.05-13,3.52,.71,7.04,1.41,10.56,2.13,1.54,.34,.59,1.87,.31,2.82-.95,2.91-1.89,5.83-2.85,8.74-.18,.53-.45,1.11-1.09,1.22-3.68-.21-7.4-1.12-10.98-1.91Z"/><path class="cls-2" d="M748.24,668.48s-.02,.06-.04,.09c-.02,0-.05-.01-.07-.01l.11-.08Z"/><path class="cls-2" d="M759.43,670.49c-.17,1.3-.48,2.59-.75,3.87l-11.71,7.93c-.42-.05-.85-.1-1.27-.15,.35-4.06,1.35-8.08,1.97-12.12,.08-.49,.34-.96,.53-1.45,3.7,.73,7.68,.73,11.23,1.92Z"/><path class="cls-2" d="M759.54,670.55s-.07-.03-.11-.06c0-.02,.01-.M 05,.01-.07l.1,.13Z"/><path class="cls-2" d="M776.29,712.49c-.31,1.76-.71,2.16-2.52,1.71l2.52-1.71Z"/><path class="cls-2" d="M644.56,680.2c1.6-4.82,2.36-9.99,3.28-14.97,3.38,1.43,6.94,2.47,10.61,3.3l-.08-.06c-1.72,4.84-1.64,10.08-3.29,14.96l.12-.12c-3.56-.98-7.01-2.46-10.64-3.12Z"/><path class="cls-2" d="M651.21,711.76c-3.92-.84-7.71-1.98-11.5-3.13,1.57-4.3,1.35-9.09,2.73-13.44,.79-.29,1.41-.11,2.03,.07,2.76,.79,5.51,1.6,8.26,2.39l-.07-.08c.14,4.77-1.22,9.54-1.62,14.31l.16-.12Z"/><path class="cls-2" d="M652.74,697.6M 5c1.29-4.63,1.84-9.55,2.46-14.32l-.12,.11c3.59,.6,7.16,1.47,10.62,2.59l-.08-.09c0,4.81-1.48,9.5-1.51,14.29-3.81-.89-7.63-1.78-11.44-2.67l.07,.08Z"/><path class="cls-2" d="M647.18,738.9c-4.22-.41-8.19-2.19-12.33-3.11,1.66-3.72,1.59-8.02,2.59-11.96,.11-.57,.48-1.11,1.21-.99,14.82,3.75,8.7,4.93,12.57-11.08l-.16,.12c2.97,.66,5.95,1.32,8.92,1.98,1.09,.11,2.14,.85,1.8,2.04-.65,4.02-.57,8.24-1.83,12.12l.12-.07c-2.89-.15-5.65-1.11-8.47-1.66-.84-.15-2.34-.65-2.72,.41-.54,4.1-1.7,8.2-1.85,12.31l.16-.11Z"/><path class="cls-2"M d="M723.02,839.85c2.57-3.99,4.24-8.51,6.4-12.73,.2-.56,.57-1.38-.1-1.75-3.05-1.1-6.37-1.49-9.52-2.31,1.54-4.63,3.83-9.17,4.96-13.85-.51-.6-1.35-.7-2.1-.85-1.82-.36-3.66-.64-5.48-1-.91-.25-2.65-.39-2.16-1.74,1.37-4.36,2.75-8.72,4.13-13.08l-.15,.12c3.48,.92,7.08,1.31,10.62,1.96l-.1-.1c-.72,4.15-2.48,8.1-3.63,12.16-.21,.78-.82,1.95,.35,2.27,2.94,.73,5.9,1.39,8.94,1.77,.88,0,1.1-1.12,1.4-1.74,1.11-4.17,3-8.25,3.57-12.51l-.18,.11c3.57,.51,7.1,1.66,10.69,1.82-1.31,4.8-2.95,9.56-4.09,14.39,0,.25,.31,.66,.59,.75,2.86,.75,M 5.79,2.2,8.79,2.19,2.29-4.67,3.36-9.86,5.14-14.75,3.18,1.31,6.54,2.16,9.8,3.26-1.92,4.95-3.19,10.01-5.37,14.87-14.08-3.65-6.86-5.63-15.29,11.21-.17,.37-.89,.63-1.33,.49-2.5-.77-5-1.55-7.51-2.27-.68-.22-1.31,0-1.95,.05,2.98-4.11,4.11-9.29,6.24-13.87,.15-.38,.35-.83-.27-1.42-2.01-.87-4.58-1.1-6.97-1.75-.8-.11-1.94-.51-2.63,.06-2.12,4.18-3.46,8.79-5.28,13.13-.06,.17,.08,.39,.13,.58,2.56,1.2,5.55,1.56,8.23,2.5,.28,.08,.4,.49,.6,.75,.26,.29,.19,.6,.05,.9-2.08,4.62-4.32,9.17-6.71,13.64-3.07-1.53-6.56-2.14-9.81-3.28Z"/><pM ath class="cls-2" d="M756.99,769.33c-.1,4.56-1.79,9.1-2.5,13.64-.09,.4-.7,.77-1.18,.7-2.63-.43-5.24-.89-7.86-1.36-1.17-.18-1.76,.16-1.99,1.09-1.29,4.36-1.67,9.04-3.51,13.19l.18-.11c-3.54-.65-7.09-1.3-10.63-1.95l.1,.1c1.32-4.7,2.99-9.48,3.11-14.31,3.28,.36,6.54,.92,9.81,1.37,.78,.11,1.34-.2,1.46-.77,.97-4.49,1.93-8.99,2.5-13.55,3.49,.87,7.16,1.07,10.61,2.04l-.11-.09Z"/><path class="cls-2" d="M759.44,755.23c3.55-.02,7.2,.98,10.63,1.82-.11,4.27-1.28,8.44-1.91,12.65-.16,.98-.67,1.82-1.89,1.53-3.09-.62-6.15-1.43-9.27-1.M 9l.11,.09c1.29-4.67,1.63-9.53,2.46-14.29l-.12,.11Z"/><path class="cls-2" d="M1039.28,374.98c22.91,.41,45.94,.34,68.85,1.97-1.87,4.66-3.75,9.33-5.6,14-.12,.29-.04,.63-.06,.95-22.75-1.75-45.54-2.5-68.35-2.76-.8-.3-.22-1.4-.06-1.99,1.73-4.05,3.81-7.98,5.22-12.16Z"/><path class="cls-2" d="M697.96,818.53c1.84-4.57,4.07-9.01,5.67-13.66,2.61,.47,5.22,.94,7.82,1.42,.83,.28,2.83,.25,2.69,1.43-1.16,3.64-2.68,7.16-4.01,10.75-.4,.7-.66,1.96-1.65,2-3.56-.34-6.94-1.53-10.52-1.93Z"/><path class="cls-2" d="M719.14,792.55c-3.86,.11M -7.58-1.13-11.44-1.24l.09,.1c.58-4.33,2.03-8.58,2.93-12.87,.16-.6,.7-.93,1.41-.87,3.44,.29,6.88,.62,10.22,1.39-1.61,4.4-2.11,9.1-3.36,13.61l.15-.12Z"/><path class="cls-2" d="M703.73,804.97c-3.81-.65-7.62-1.3-11.42-1.95,1.32-4.57,3.22-9.02,4.14-13.67l-.12,.09c3.78,.85,7.72,1.01,11.45,1.98l-.09-.1c-1.32,4.55-2.63,9.11-3.97,13.66Z"/><path class="cls-2" d="M668.83,798.48c2.37-4.04,2.56-9.13,5.08-13.03l-.21,.11c3.04,.91,6.27,1.2,9.39,1.86,.56,.07,1.46,.2,1.83-.29,1.69-4.04,2.4-8.39,3.34-12.61,3.85,.23,7.57,1.12,11.43,1.M 26-1.06,4.57-1.99,9.16-3.36,13.66l.12-.09c-3.51-.08-6.86-1.01-10.34-1.35-.69-.08-1.28,.26-1.48,.84-.91,2.7-1.77,5.41-2.7,8.11-1.43,4.14-.68,4.06-6.05,2.94-2.34-.49-4.7-.94-7.04-1.41Z"/><path class="cls-2" d="M700.5,631.63c-1.34,4.25-2.68,8.5-4.02,12.76-.15,.77-.49,1.71-1.49,1.61-2.75-.46-5.48-.97-8.22-1.48-.65-.11-1.3,.26-1.45,.84-1.19,4.5-2.22,9.04-3.55,13.51l.13-.08c-2.6-.56-5.2-1.11-7.79-1.67-.77-.16-1.54-.4-2.41-.11-1.86,4.25-1.77,9.15-3.22,13.55-.08,.24-.66,.5-.98,.42-3.02-.83-6.3-1.2-9.13-2.51l.08,.06c.01-.63M -.08-1.27,.05-1.88,1.07-4.33,1.54-8.87,3.1-13.05,2.52,1.29,5.53,1.68,8.27,2.49,1.12,.28,1.71-.03,1.98-1.03,.95-3.8,1.89-7.59,2.92-11.37,.17-.62,.3-1.28,1.17-1.73,12.24,2.2,8.48,4.81,12.45-7.3,.45-1.46,.98-2.9,1.5-4.35,.17-.47,.69-.69,1.26-.56,3.12,.61,6.17,1.65,9.35,1.87Z"/><path class="cls-2" d="M670.47,623.21c3.15,1.33,6.35,2.54,9.81,3.25-1.55,4.66-3.06,9.32-4.61,13.98-.29,.84-.84,1.09-1.76,.82-2.77-.81-5.51-1.69-8.29-2.44,.97-5.34,3.93-10.31,4.85-15.62Z"/><path class="cls-2" d="M665.75,638.76c-1.91,4.09-2.59,8.7M 1-3.94,13.03-.16,.61-.1,1.26-.14,1.9-3.28-.64-6.24-1.89-9.26-3.04-.49-.18-.71-.59-.58-1.08,.6-2.3,1.2-4.61,1.84-6.91,.52-1.88,1.08-3.76,1.64-5.63,.24-.74,.67-1.75,1.66-1.41,2.93,1.05,5.86,2.1,8.79,3.15Z"/><path class="cls-2" d="M680.15,626.52c2.47-4.82,3.63-10.25,6.53-14.93,2.72,.91,5.44,1.81,8.16,2.72,.9,.28,1,.9,.72,1.59-1.71,4.18-3.41,8.36-5.13,12.53-.22,.53-.93,.83-1.61,.64-2.9-.84-5.78-1.69-8.68-2.54Z"/><path class="cls-2" d="M716.69,620.02c-2.46,4.14-3.29,9.1-5.58,13.32-.31,.35-.97,.4-1.44,.31-3.12-.57-6.27-1M .08-9.29-1.96,2.17-4.64,3.75-9.55,5.69-14.29,3.53,.9,7.16,1.47,10.62,2.62Z"/><path class="cls-2" d="M772.49,742.93c-3-1.14-6.44-1.27-9.61-2-.97-.17-1.55,.2-1.65,.95-.64,4.44-1.2,8.9-1.79,13.35l.12-.11c-3.42-1.05-7.05-1.22-10.57-1.86-.04-.53-.16-1.06-.11-1.59,.61-4.24,.57-8.62,1.8-12.74l-.1,.1c2.64,.38,5.27,.77,7.91,1.14,.86,.01,2.42,.58,2.83-.46,.75-4.02,1.1-8.09,1.61-12.13,.06-.75,1.07-.95,1.81-.8,3.12,.61,6.24,1.22,9.37,1.83-.42,4.78-1.56,9.55-1.62,14.33Z"/><path class="cls-2" d="M750.58,737.12c-.06,.6-.01,1.2,0,M 1.81-3.81-.26-7.54-1.07-11.36-1.18,0-.07,.01-.13,.02-.19l12.09-8.18c-.27,2.58-.51,5.16-.75,7.74Z"/><path class="cls-2" d="M750.58,739.03v-.1s.06,.01,.09,.01l-.09,.09Z"/><path class="cls-2" d="M763.74,720.98c-.6,6.77-.81,5.21-6.8,4.6l6.8-4.6Z"/><path class="cls-2" d="M692.42,660.72c-1.12,4.68-1.49,9.62-2.94,14.18-3.35,.3-6.35-.82-9.62-1.16-.86-.04-1.1,.75-1.21,1.41-.61,4.24-1.62,8.49-1.68,12.79l.12-.08c-3.85-.45-7.64-1.29-11.46-1.93l.08,.09c1.08-4.16,1.61-8.45,2.38-12.68,.3-1.77,.69-1.96,2.88-1.53,1.66,.06,7.56,2.47M ,8.13,.57,.9-4.54,1.86-9.07,2.81-13.6l-.13,.08c3.55,.61,7.05,1.5,10.64,1.86Z"/><path class="cls-2" d="M717.39,649.7c3.63,1.3,7.64,1.27,11.44,1.98-1.77,4.35-2.13,9.12-3.34,13.65l.11-.1c-3.85,.07-7.63-.83-11.44-1.29l.12,.09c.53-4.84,2.15-9.56,3.12-14.34Z"/><path class="cls-2" d="M676.96,687.95c3.3,.4,6.59,1.31,9.92,1.32,.22-.02,.56-.22,.6-.38,.29-1.27,.57-2.54,.77-3.82,.39-2.56,.71-5.13,1.08-7.7,.18-.92,.47-1.99,1.66-1.82,3.2,.34,6.41,.61,9.49,1.42l-.08-.09c.17,4.81-1.95,9.54-1.46,14.32-3.12-.7-6.35-.85-9.52-1.34-.68M -.08-1.72-.06-1.85,.78-.56,3.73-.98,7.48-1.51,11.21-.12,.58-.16,1.53-.9,1.62-3.61-.13-7.16-.77-10.72-1.28,.61-.62,.67-1.36,.76-2.1,.75-4.05,.44-8.35,1.88-12.22l-.12,.08Z"/><path class="cls-2" d="M702.83,662.67c3.87,.13,7.6,.99,11.45,1.37l-.12-.09c-.69,4.78-2.1,9.53-2.3,14.34-3.78-.66-7.6-1.12-11.46-1.4l.08,.09c.8-4.76,2.22-9.47,2.35-14.31Z"/><path class="cls-2" d="M702.11,762.2l-.11,.1s.02-.07,.02-.11c.03,0,.06,.01,.09,.01Z"/><path class="cls-2" d="M715.05,749.28l-.11,.07s.03-.05,.04-.07h.07Z"/><path class="cls-2" M d="M745.81,682.06c-.09,.41-.21,.82-.32,1.23l-13.07,8.84c.81-3.73,.63-7.7,1.92-11.29,.02-.03,.03-.06,.04-.09,3.81,.43,7.62,.88,11.43,1.31Z"/><path class="cls-2" d="M698.79,691.1c3.54,.43,7.13,.59,10.61,1.3-.06,3.98-.52,7.93-.98,11.88-.05,1-.38,1.92-1.64,1.79-3.23-.08-6.39-.83-9.61-.66,.26-4.75,.62-9.65,1.62-14.31Z"/><path class="cls-2" d="M710.94,706.67l-2.93,1.98c.06-2.13,.96-2.26,2.93-1.98Z"/><path class="cls-2" d="M729.41,694.17l-9.3,6.29c.25-2.05,.4-4.13,.78-6.16,.06-.29,.78-.73,1.2-.7,2.45,.17,4.88,.36,7.32,.57M Z"/><path class="cls-2" d="M709.25,692.49c.68-.97,.68-2.06,.83-3.13,.54-3.73,1.09-7.46,1.64-11.2,14.16,1.76,10.7-1.22,9.54,12.77-.15,.97-.27,2.32-1.62,2.2-3.48-.11-6.91-.89-10.4-.65Z"/><path class="cls-2" d="M664.02,700.15c3.48,.83,7.03,1.43,10.6,1.94-.14,4.8-.63,9.61-1.63,14.31-3.42-.78-7.08-1.09-10.39-2.21-.36-2.3-.27-3.17,1.42-14.04Z"/><path class="cls-2" d="M688.81,771.69c-.15,.97-.29,1.94-.44,2.91-.94-.32-1.92-.5-2.91-.64l3.35-2.27Z"/><path class="cls-2" d="M722.24,779.11c.88-4.77,1.16-9.63,2.54-14.29l-.12,.07M c3.58,.2,7.12,.54,10.59,1.3l-.11-.08c.41,1.07,.08,2.14-.09,3.19-.73,3.7-.99,7.54-2.23,11.11-3.48-.69-6.98-1.29-10.59-1.3Z"/><path class="cls-2" d="M737.61,751.97c3.88,.05,7.61,1.02,11.47,1.19-.23,.5-.59,.98-.66,1.5-.63,4.27-1.21,8.54-1.81,12.81-3.81-.47-7.62-1-11.45-1.36l.11,.08c1.5-4.51,1.52-9.61,2.46-14.31l-.11,.1Z"/><path class="cls-2" d="M702.11,762.2s-.01,.07-.02,.11c-.03-.01-.06-.01-.09-.01l.11-.1Z"/><path class="cls-2" d="M712.53,768.89c-.41,2.53-1.03,5.05-1.57,7.56-.09,.44-.6,.73-1.13,.7-3.45-.16-6.83-.88-1M 0.26-1.29,.01-.03,.02-.06,.02-.09,1.14-4.44,1.82-8.95,2.5-13.46,3.76,.28,7.54,.6,11.24,1.27,.19,1.81-.5,3.54-.8,5.31Z"/><path class="cls-2" d="M713.43,763.6s-.07-.01-.1-.02c0-.02-.01-.05-.01-.07l.11,.09Z"/><path class="cls-2" d="M713.32,763.51s.08,0,.12,0c0,.03-.01,.05-.01,.08l-.11-.09Z"/><path class="cls-2" d="M715.05,749.28v.08s-.07-.01-.11-.01l.11-.07Z"/><path class="cls-2" d="M724.66,764.88s.01-.05,.01-.08c.04,0,.07,.01,.11,.01l-.12,.07Z"/><path class="cls-2" d="M725.93,755.35c-.44,3.14-.84,6.3-1.26,9.45-3.74-.M 42-7.49-.85-11.23-1.28,.45-3.13,.92-6.26,1.32-9.39l5.99-4.07c1.84,.21,3.69,.4,5.53,.59,.24,1.58-.13,3.14-.35,4.7Z"/><path class="cls-2" d="M726.37,750.66s-.06-.01-.09-.01c0-.03,0-.05,0-.08l.1,.09Z"/><path class="cls-2" d="M726.27,750.57s.07,.01,.11,.01c0,.03-.01,.05-.01,.08l-.1-.09Z"/><path class="cls-2" d="M737.6,751.97s.01-.07,.01-.11c.03,0,.07,.01,.1,.01l-.11,.1Z"/><path class="cls-2" d="M739.33,737.65c-.56,4.73-1.15,9.48-1.72,14.21-3.74-.42-7.49-.85-11.23-1.28,.29-1.6,.52-3.2,.71-4.8l12.05-8.15c.06,0,.13,.02,.1 9,.02Z"/></g></svg>h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 E{"p":"brc-20","op":"deploy","tick":"Loki","max":"666666","lim":"666"}h! text/plain;charset=utf-8 ,{"p":"sns","op":"reg","name":"huafang.sats"}h! text/plain;charset=utf-8 *{"p":"sns","op":"reg","name":"00966.sats"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"bits","amt":"1000"}h! FjDOUT:DD9BE3DB83F031F0E170601F32CEA42BBF64D45CB956D6B91CCB257F5DFB166F text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 :{"p":"brc-20","op":"mint","tick":"sats","amt":"100000000"}h! DjB=:BNB.BNB:bnb105clfhm5kdlmkgcp0g75djdj7e9drrvkvw6s0c:80007351:te:0 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! iTXtXML:com.adobe.xmp <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP Core 6.0.0"> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:exif="http://ns.adobe.com/exif/1.0/"> <exif:PixelXDimension>200</exif:PixelXDimension> <exif:PixelYDimension>200</M exif:PixelYDimension> </rdf:Description> iTXtXML:com.adobe.xmp <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP Core 6.0.0"> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:exif="http://ns.adobe.com/exif/1.0/"> <exif:PixelXDimension>200</exif:PixelXDimension> <exif:PixelYDimension>200</M exif:PixelYDimension> </rdf:Description> iTXtXML:com.adobe.xmp <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP Core 6.0.0"> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:exif="http://ns.adobe.com/exif/1.0/"> <exif:PixelXDimension>200</exif:PixelXDimension> <exif:PixelYDimension>200</M exif:PixelYDimension> </rdf:Description> iTXtXML:com.adobe.xmp <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP Core 6.0.0"> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:exif="http://ns.adobe.com/exif/1.0/"> <exif:PixelXDimension>200</exif:PixelXDimension> <exif:PixelYDimension>200</M exif:PixelYDimension> </rdf:Description> iTXtXML:com.adobe.xmp <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP Core 6.0.0"> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:exif="http://ns.adobe.com/exif/1.0/"> <exif:PixelXDimension>200</exif:PixelXDimension> <exif:PixelYDimension>200</M exif:PixelYDimension> </rdf:Description> iTXtXML:com.adobe.xmp <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP Core 6.0.0"> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:exif="http://ns.adobe.com/exif/1.0/"> <exif:PixelXDimension>200</exif:PixelXDimension> <exif:PixelYDimension>200</M exif:PixelYDimension> </rdf:Description> iTXtXML:com.adobe.xmp <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP Core 6.0.0"> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:exif="http://ns.adobe.com/exif/1.0/"> <exif:PixelXDimension>200</exif:PixelXDimension> <exif:PixelYDimension>200</M exif:PixelYDimension> </rdf:Description> iTXtXML:com.adobe.xmp <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP Core 6.0.0"> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:exif="http://ns.adobe.com/exif/1.0/"> <exif:PixelXDimension>200</exif:PixelXDimension> <exif:PixelYDimension>200</M exif:PixelYDimension> </rdf:Description> iTXtXML:com.adobe.xmp <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP Core 6.0.0"> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:exif="http://ns.adobe.com/exif/1.0/"> <exif:PixelXDimension>200</exif:PixelXDimension> <exif:PixelYDimension>200</M exif:PixelYDimension> </rdf:Description> iTXtXML:com.adobe.xmp <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP Core 6.0.0"> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:exif="http://ns.adobe.com/exif/1.0/"> <exif:PixelXDimension>200</exif:PixelXDimension> <exif:PixelYDimension>200</M exif:PixelYDimension> </rdf:Description> iTXtXML:com.adobe.xmp <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP Core 6.0.0"> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:exif="http://ns.adobe.com/exif/1.0/"> <exif:PixelXDimension>200</exif:PixelXDimension> <exif:PixelYDimension>200</M exif:PixelYDimension> </rdf:Description> iTXtXML:com.adobe.xmp <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP Core 6.0.0"> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:exif="http://ns.adobe.com/exif/1.0/"> <exif:PixelXDimension>200</exif:PixelXDimension> <exif:PixelYDimension>200</M exif:PixelYDimension> </rdf:Description> iTXtXML:com.adobe.xmp <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP Core 6.0.0"> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:exif="http://ns.adobe.com/exif/1.0/"> <exif:PixelXDimension>200</exif:PixelXDimension> <exif:PixelYDimension>200</M exif:PixelYDimension> </rdf:Description> iTXtXML:com.adobe.xmp <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP Core 6.0.0"> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:exif="http://ns.adobe.com/exif/1.0/"> <exif:PixelXDimension>200</exif:PixelXDimension> <exif:PixelYDimension>200</M exif:PixelYDimension> </rdf:Description> iTXtXML:com.adobe.xmp <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP Core 6.0.0"> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:exif="http://ns.adobe.com/exif/1.0/"> <exif:PixelXDimension>200</exif:PixelXDimension> <exif:PixelYDimension>200</M exif:PixelYDimension> </rdf:Description> text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 xr:d:DAFffIdKjww:7,j:2346379297,t:23040804 http://ns.adobe.com/xap/1.0/ <x:xmpmeta xmlns:x='adobe:ns:meta/'> <rdf:RDF xmlns:rdf='http://www.w3.org/1999/02/22-rdf-syntax-ns#'> <rdf:Description rdf:about='' xmlns:dc='http://purl.org/dc/elements/1.1/'> <rdf:li xml:lang='x-default'>Untitled design - 1</rdf:li> </rdf:Description> <rdf:Description rdf:about='' xmlns:Attrib='http://ns.attribution.com/ads/1.0/'> <Attrib:Ads> <rdf:li rdf:parseType='Resource'> <Attrib:Created>2023-04-08</Attrib:Created> <Attrib:ExtId>47d14b53-d192-46a3-8dfb-2e7dae228483</Attrib:ExtId> <Attrib:FbId>525265914179580</Attrib:FbId> <Attrib:TouchType>2</Attrib:TouchType> </Attrib:Ads> </rdf:Description> <rdf:Description rdf:about='' xmlns:pdf='http://ns.adobe.com/pdf/1.3/'> <pdf:Author>Mitchell Westhead</pdf:Author> </rdf:Description> <rdf:Description rdf:about='' xmlns:xmp='http://ns.adobe.com/xap/1.0/'> <xmp:CreatorTool>Canva</xmp:CreatorTool> </rdf:Description> </x:xmpmeta> (((((((((((((((((((((((((((((((((((((((((((((((((( %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz &'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz &'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz (((((((((((((((((((((((((((((((((((((((((((((((((( %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz &'()*56789:CDEFGHIJSTUVWXYM %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz &'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz &'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 (((((((((((((((((((((((((((((((((((((((((((((((((( %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz &'()*56789:CDEFGHIJSTUVWXYM %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz &'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz text/plain;charset=utf-8 text/plain;charset=utf-8 xr:d:DAFffIdKjww:5,j:2346326347,t:23040804 http://ns.adobe.com/xap/1.0/ <x:xmpmeta xmlns:x='adobe:ns:meta/'> <rdf:RDF xmlns:rdf='http://www.w3.org/1999/02/22-rdf-syntax-ns#'> <rdf:Description rdf:about='' xmlns:dc='http://purl.org/dc/elements/1.1/'> <rdf:li xml:lang='x-default'>Untitled design - 1</rdf:li> </rdf:Description> <rdf:Description rdf:about='' xmlns:Attrib='http://ns.attribution.com/ads/1.0/'> <Attrib:Ads> <rdf:li rdf:parseType='Resource'> <Attrib:Created>2023-04-08</Attrib:Created> <Attrib:ExtId>540c5f03-070b-4e28-850f-a85ced34a3cd</Attrib:ExtId> <Attrib:FbId>525265914179580</Attrib:FbId> <Attrib:TouchType>2</Attrib:TouchType> </Attrib:Ads> </rdf:Description> <rdf:Description rdf:about='' xmlns:pdf='http://ns.adobe.com/pdf/1.3/'> <pdf:Author>Mitchell Westhead</pdf:Author> </rdf:Description> <rdf:Description rdf:about='' xmlns:xmp='http://ns.adobe.com/xap/1.0/'> <xmp:CreatorTool>Canva</xmp:CreatorTool> </rdf:Description> </x:xmpmeta> (((((((((((((((((((((((((((((((((((((((((((((((((( %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz &'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz &'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz &'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 "name": "myai.sats" text/plain;charset=utf-8 text/plain;charset=utf-8 %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz &'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz text/plain;charset=utf-8 text/plain;charset=utf-8 %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz &'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz text/plain;charset=utf-8 text/plain;charset=utf-8 /{"p":"sns","op":"reg","name":"aws.amazon.sats"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 "name": "ibrc.sats" text/plain;charset=utf-8 text/plain;charset=utf-8 (((((((((((((((((((((((((((((((((((((((((((((((((( %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz &'()*56789:CDEFGHIJSTUVWXYM text/plain;charset=utf-8 text/plain;charset=utf-8 JSON{"accessors":[{"bufferView":2,"componentType":5126,"count":24,"max":[35.35533905029297,35.35533905029297,50.0],"min":[-35.35533905029297,-35.35533905029297,-50.0],"type":"VEC3"},{"bufferView":2,"byteOffset":288,"componentType":5126,"count":24,"max":[0.8164966106414795,0.8164966106414795,0.5773503184318542],"min":[-0.8164966106414795,-0.8164966106414795,-0.5773503184318542],"type":"VEC3"},{"bufferView":1,"componentType":5126,"count":24,"max":[0.5,0.5],"min":[-0.5,-0.5],"type":"VEC2"},{"bufferViewM ":0,"componentType":5125,"count":24,"type":"SCALAR"}],"asset":{"extras":{"author":"Tamiya (https://sketchfab.com/Tamiya)","license":"CC-BY-4.0 (http://creativecommons.org/licenses/by/4.0/)","source":"https://sketchfab.com/3d-models/block-shape-diamond-998a836ab30044178bfe0907c553f096","title":"Block Shape Diamond"},"generator":"Sketchfab-12.66.0","version":"2.0"},"bufferViews":[{"buffer":0,"byteLength":96,"name":"floatBufferViews","target":34963},{"buffer":0,"byteLength":192,"byteOffset":96,"byteStride":8,"name":"fM loatBufferViews","target":34962},{"buffer":0,"byteLength":576,"byteOffset":288,"byteStride":12,"name":"floatBufferViews","target":34962}],"buffers":[{"byteLength":864}],"materials":[{"doubleSided":true,"name":"Scene_-_Root","pbrMetallicRoughness":{"metallicFactor":0.0,"roughnessFactor":0.6}}],"meshes":[{"name":"Hedra001__0","primitives":[{"attributes":{"NORMAL":1,"POSITION":0,"TEXCOORD_0":2},"indices":3,"material":0,"mode":4}]}],"nodes":[{"children":[1],"matrix":[1.0,0.0,0.0,0.0,0.0,2.220446049250313e-16,-1.0,0.0,0M .0,1.0,2.220446049250313e-16,0.0,0.0,0.0,0.0,1.0],"name":"Sketchfab_model"},{"children":[2],"matrix":[1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,-1.0,0.0,0.0,0.0,0.0,0.0,1.0],"name":"f12a162cfb3c45d69ba91ed162498571.fbx"},{"children":[3],"name":"RootNode"},{"children":[4],"matrix":[1.0,0.0,0.0,0.0,0.0,2.220446049250313e-16,-1.0,0.0,0.0,1.0,2.220446049250313e-16,0.0,7.597099304199219,49.04388427734375,-18.24660301208496,1.0],"name":"Hedra001"},{"mesh":0,"name":"Hedra001__0"}],"scene":0,"scenes":[{"name":"Sketchfab_Scene","M text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 xr:d:DAFffIdKjww:4,j:44810062709,t:23040804 http://ns.adobe.com/xap/1.0/ <x:xmpmeta xmlns:x='adobe:ns:meta/'> <rdf:RDF xmlns:rdf='http://www.w3.org/1999/02/22-rdf-syntax-ns#'> <rdf:Description rdf:about='' xmlns:dc='http://purl.org/dc/elements/1.1/'> <rdf:li xml:lang='x-default'>Untitled design - 1</rdf:li> </rdf:Description> <rdf:Description rdf:about='' xmlns:Attrib='http://ns.attribution.com/ads/1.0/'> <Attrib:Ads> <rdf:li rdf:parseType='Resource'> <Attrib:Created>2023-04-08</Attrib:Created> <Attrib:ExtId>60874c1e-5b61-461a-9ae9-f92ebf53ced0</Attrib:ExtId> <Attrib:FbId>525265914179580</Attrib:FbId> <Attrib:TouchType>2</Attrib:TouchType> </Attrib:Ads> </rdf:Description> <rdf:Description rdf:about='' xmlns:pdf='http://ns.adobe.com/pdf/1.3/'> <pdf:Author>Mitchell Westhead</pdf:Author> </rdf:Description> <rdf:Description rdf:about='' xmlns:xmp='http://ns.adobe.com/xap/1.0/'> <xmp:CreatorTool>Canva</xmp:CreatorTool> </rdf:Description> </x:xmpmeta> (((((((((((((((((((((((((((((((((((((((((((((((((( %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz &'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h! text/plain;charset=utf-8 Adobe Photoshop 22.5 (Macintosh) cropWhenPrintingbool http://ns.adobe.com/xap/1.0/ " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 7.1-c000 79.89d63a01, 2021/12/10-15:20:20 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:abM out="" xmlns:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmpMM:DocumentID="adobe:docid:photoshop:fc27431c-1957-1547-9743-d64e9fd7747f" xmpMM:InstanceID="xmp.iid:198a53a3-1e38-4354-8ece-91ed765b84c7" xmpMM:OriginalDocumentID="338AD8600AC7E1DC39248D931F4F7285" dc:format="image/jpeg" photoshop:ColorMode="3" photoshop:ICCProfM ile="" xmp:CreateDate="2019-07-03T17:43:03-04:00" xmp:ModifyDate="2023-04-08T00:15:30-04:00" xmp:MetadataDate="2023-04-08T00:15:30-04:00"> <xmpMM:History> <rdf:Seq> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:b8386ea7-c548-49d8-aefb-f788a62e00c8" stEvt:when="2023-04-08T00:13:36-04:00" stEvt:softwareAgent="Adobe Photoshop 22.5 (Macintosh)" stEvt:changed="/"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:198a53a3-1e38-4354-8ece-91ed765b84c7" stEvt:when="2023-04-08T00:15:30-04:00" stEvt:softwareAgM ent="Adobe Photoshop 22.5 (Macintosh)" stEvt:changed="/"/> </rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> M M M M <?xpacket end="w"?> text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz &'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 JSON{"accessors":[{"bufferView":2,"componentType":5126,"count":36,"max":[0.3840000033378601,0.6651080250740051,0.06755000352859497],"min":[-0.7680000066757202,-0.6651080250740051,-0.06755000352859497],"type":"VEC3"},{"bufferView":2,"byteOffset":432,"componentType":5126,"count":36,"max":[0.7559288144111633,0.8660253882408142,0.6546538472175598],"min":[-1.0,-0.8660253882408142,-0.6546538472175598],"type":"VEC3"},{"bufferView":1,"componentType":5126,"count":36,"max":[1.0,1.0],"min":[0.0,0.0],"type":"VEM C2"},{"bufferView":0,"componentType":5125,"count":54,"type":"SCALAR"}],"asset":{"extras":{"author":" (https://sketchfab.com/enealefons)","license":"CC-BY-4.0 (http://creativecommons.org/licenses/by/4.0/)","source":"https://sketchfab.com/3d-models/simple-small-triangle-e8ba296888b34f4881622844635bba41","title":"simple small triangle"},"generator":"Sketchfab-12.68.0","version":"2.0"},"bufferViews":[{"buffer":0,"byteLength":216,"name":"floatBufferViews","target":34963},{"buffer"M :0,"byteLength":288,"byteOffset":216,"byteStride":8,"name":"floatBufferViews","target":34962},{"buffer":0,"byteLength":864,"byteOffset":504,"byteStride":12,"name":"floatBufferViews","target":34962}],"buffers":[{"byteLength":1368}],"extensionsRequired":["KHR_materials_pbrSpecularGlossiness"],"extensionsUsed":["KHR_materials_pbrSpecularGlossiness"],"materials":[{"doubleSided":true,"extensions":{"KHR_materials_pbrSpecularGlossiness":{"diffuseFactor":[1.0,1.0,1.0,1.0],"glossinessFactor":0.4,"specularFactor":[0.0,0.0,0.M 0]}},"name":"scene_material"}],"meshes":[{"name":"Object_0","primitives":[{"attributes":{"NORMAL":1,"POSITION":0,"TEXCOORD_0":2},"indices":3,"material":0,"mode":4}]}],"nodes":[{"children":[1],"matrix":[1.0,0.0,0.0,0.0,0.0,2.220446049250313e-16,-1.0,0.0,0.0,1.0,2.220446049250313e-16,0.0,0.0,0.0,0.0,1.0],"name":"Sketchfab_model"},{"children":[2],"name":"540f7f2ea6cd42968dc6c663ad5a458a.obj.cleaner.materialmerger.gles"},{"mesh":0,"name":"Object_2"}],"scene":0,"scenes":[{"name":"Sketchfab_Scene","nodes":[0]}]} X text/plain;charset=utf-8 G{"p":"brc-20","op":"deploy","tick":"PESO","max":"1000000","lim":"1000"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz &'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 "name": "n_n.sats", text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 3{"p":"sns","op":"reg","name":"naughtyamerica.sats"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 Adobe Illustrator 24.1 (Windows) iTXtXML:com.adobe.xmp <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP Core 6.0.0"> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:xmpGM Img="http://ns.adobe.com/xap/1.0/g/img/" xmlns:pdf="http://ns.adobe.com/pdf/1.3/" xmlns:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:illustrator="http://ns.adobe.com/illustrator/1.0/" xmlns:tiff="http://ns.adobe.com/tiff/1.0/" xmlns:pdfx="http://ns.adobe.M <xmp:Thumbnails> <rdf:Alt> <rdf:li rdf:parseType="Resource"> <xmpGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA
AQBIAAAAAQAB/+IMWElDQ19QUk9GSUxFAAEBAAAMSExpbm8CEAAAbW50clJHQiBYWVogB84AAgAJ
AAYAMQAAYWNzcE1TRlQAAAAASUVDIHNSR0IAAAAAAAAAAAAAAAAAAPbWAAEAAAAA0y1IUCAgAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARY3BydAAAAVAAAAAz
ZGVzYwAAAYQAAABsd3RwdAAAAfAAAAAUYmtwdAAAAgQAAAAUclM hZWgAAAhgAAAAUZ1hZWgAAAiwA
AAAUYlhZWgAAAkAAAAAUZG1uZAAAAlQAAABwZG1kZAAAAsQAAACIdnVlZAAAA0wAAACGdmlldwAA
A9QAAAAkbHVtaQAAA/gAAAAUbWVhcwAABAwAAAAkdGVjaAAABDAAAAAMclRSQwAABDwAAAgMZ1RS
QwAABDwAAAgMYlRSQwAABDwAAAgMdGV4dAAAAABDb3B5cmlnaHQgKGMpIDE5OTggSGV3bGV0dC1Q
YWNrYXJkIENvbXBhbnkAAGRlc2MAAAAAAAAAEnNSR0IgSUVDNjE5NjYtMi4xAAAAAAAAAAAAAAAS
c1JHQiBJRUM2MTk2Ni0yLjEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAFhZWiAAAAAAAADzUQABAAAAARbMWFlaIAAAAAAAAAAAAAAAAAAAAABYWVogAAAA
AAAM Ab6IAADj1AAADkFhZWiAAAAAAAABimQAAt4UAABjaWFlaIAAAAAAAACSgAAAPhAAAts9kZXNj
AAAAAAAAABZJRUMgaHR0cDovL3d3dy5pZWMuY2gAAAAAAAAAAAAAABZJRUMgaHR0cDovL3d3dy5p
ZWMuY2gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAZGVzYwAA
AAAAAAAuSUVDIDYxOTY2LTIuMSBEZWZhdWx0IFJHQiBjb2xvdXIgc3BhY2UgLSBzUkdCAAAAAAAA
AAAAAAAuSUVDIDYxOTY2LTIuMSBEZWZhdWx0IFJHQiBjb2xvdXIgc3BhY2UgLSBzUkdCAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAGRlc2MAAAAAAAAALFJlZmVyZW5jZSBWaWV3aW5nIENvbmRpdGlvbiBp
biBJRUM2MTk2Ni0yLjEAAAAAAAAAAAAAACxSZM WZlcmVuY2UgVmlld2luZyBDb25kaXRpb24gaW4g
SUVDNjE5NjYtMi4xAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB2aWV3AAAAAAATpP4AFF8uABDP
FAAD7cwABBMLAANcngAAAAFYWVogAAAAAABMCVYAUAAAAFcf521lYXMAAAAAAAAAAQAAAAAAAAAA
AAAAAAAAAAAAAAKPAAAAAnNpZyAAAAAAQ1JUIGN1cnYAAAAAAAAEAAAAAAUACgAPABQAGQAeACMA
KAAtADIANwA7AEAARQBKAE8AVABZAF4AYwBoAG0AcgB3AHwAgQCGAIsAkACVAJoAnwCkAKkArgCy
ALcAvADBAMYAywDQANUA2wDgAOUA6wDwAPYA+wEBAQcBDQETARkBHwElASsBMgE4AT4BRQFMAVIB
WQFgAWcBbgF1AXwBgwGLAZIBmgGhAakBsQG5AcEByQHRAdkB4QHpAfIB+gIDAgwCFAIdAiYM CLwI4
AkECSwJUAl0CZwJxAnoChAKOApgCogKsArYCwQLLAtUC4ALrAvUDAAMLAxYDIQMtAzgDQwNPA1oD
ZgNyA34DigOWA6IDrgO6A8cD0wPgA+wD+QQGBBMEIAQtBDsESARVBGMEcQR+BIwEmgSoBLYExATT
BOEE8AT+BQ0FHAUrBToFSQVYBWcFdwWGBZYFpgW1BcUF1QXlBfYGBgYWBicGNwZIBlkGagZ7BowG
nQavBsAG0QbjBvUHBwcZBysHPQdPB2EHdAeGB5kHrAe/B9IH5Qf4CAsIHwgyCEYIWghuCIIIlgiq
CL4I0gjnCPsJEAklCToJTwlkCXkJjwmkCboJzwnlCfsKEQonCj0KVApqCoEKmAquCsUK3ArzCwsL
Igs5C1ELaQuAC5gLsAvIC+EL+QwSDCoMQwxcDHUMjgynDMAM2QzzDQ0NJg1ADVoNdA2ODakNww3e
DfgOEw4uDkkOZA5/DpsOtg7SM Du4PCQ8lD0EPXg96D5YPsw/PD+wQCRAmEEMQYRB+EJsQuRDXEPUR
ExExEU8RbRGMEaoRyRHoEgcSJhJFEmQShBKjEsMS4xMDEyMTQxNjE4MTpBPFE+UUBhQnFEkUahSL
FK0UzhTwFRIVNBVWFXgVmxW9FeAWAxYmFkkWbBaPFrIW1hb6Fx0XQRdlF4kXrhfSF/cYGxhAGGUY
ihivGNUY+hkgGUUZaxmRGbcZ3RoEGioaURp3Gp4axRrsGxQbOxtjG4obshvaHAIcKhxSHHscoxzM
HPUdHh1HHXAdmR3DHeweFh5AHmoelB6+HukfEx8+H2kflB+/H+ogFSBBIGwgmCDEIPAhHCFIIXUh
oSHOIfsiJyJVIoIiryLdIwojOCNmI5QjwiPwJB8kTSR8JKsk2iUJJTglaCWXJccl9yYnJlcmhya3
JugnGCdJJ3onqyfcKA0oPyhxKKIo1CkGKTgpaymdKdAqAio1KmgqmyrPKwM IrNitpK50r0SwFLDks
biyiLNctDC1BLXYtqy3hLhYuTC6CLrcu7i8kL1ovkS/HL/4wNTBsMKQw2zESMUoxgjG6MfIyKjJj
Mpsy1DMNM0YzfzO4M/E0KzRlNJ402DUTNU01hzXCNf02NzZyNq426TckN2A3nDfXOBQ4UDiMOMg5
BTlCOX85vDn5OjY6dDqyOu87LTtrO6o76DwnPGU8pDzjPSI9YT2hPeA+ID5gPqA+4D8hP2E/oj/i
QCNAZECmQOdBKUFqQaxB7kIwQnJCtUL3QzpDfUPARANER0SKRM5FEkVVRZpF3kYiRmdGq0bwRzVH
e0fASAVIS0iRSNdJHUljSalJ8Eo3Sn1KxEsMS1NLmkviTCpMcky6TQJNSk2TTdxOJU5uTrdPAE9J
T5NP3VAnUHFQu1EGUVBRm1HmUjFSfFLHUxNTX1OqU/ZUQlSPVNtVKFV1VcJWD1ZcVqlW91dEV5JX
4FgvWH1Yy1kM aWWlZuFoHWlZaplr1W0VblVvlXDVchlzWXSddeF3JXhpebF69Xw9fYV+zYAVgV2Cq
YPxhT2GiYfViSWKcYvBjQ2OXY+tkQGSUZOllPWWSZedmPWaSZuhnPWeTZ+loP2iWaOxpQ2maafFq
SGqfavdrT2una/9sV2yvbQhtYG25bhJua27Ebx5veG/RcCtwhnDgcTpxlXHwcktypnMBc11zuHQU
dHB0zHUodYV14XY+dpt2+HdWd7N4EXhueMx5KnmJeed6RnqlewR7Y3vCfCF8gXzhfUF9oX4BfmJ+
wn8jf4R/5YBHgKiBCoFrgc2CMIKSgvSDV4O6hB2EgITjhUeFq4YOhnKG14c7h5+IBIhpiM6JM4mZ
if6KZIrKizCLlov8jGOMyo0xjZiN/45mjs6PNo+ekAaQbpDWkT+RqJIRknqS45NNk7aUIJSKlPSV
X5XJljSWn5cKl3WX4JhMmLiZJJmQmfyaaJrVm0Kbr5wcnM Imc951kndKeQJ6unx2fi5/6oGmg2KFH
obaiJqKWowajdqPmpFakx6U4pammGqaLpv2nbqfgqFKoxKk3qamqHKqPqwKrdavprFys0K1Erbiu
La6hrxavi7AAsHWw6rFgsdayS7LCszizrrQltJy1E7WKtgG2ebbwt2i34LhZuNG5SrnCuju6tbsu
u6e8IbybvRW9j74KvoS+/796v/XAcMDswWfB48JfwtvDWMPUxFHEzsVLxcjGRsbDx0HHv8g9yLzJ
Osm5yjjKt8s2y7bMNcy1zTXNtc42zrbPN8+40DnQutE80b7SP9LB00TTxtRJ1MvVTtXR1lXW2Ndc
1+DYZNjo2WzZ8dp22vvbgNwF3IrdEN2W3hzeot8p36/gNuC94UThzOJT4tvjY+Pr5HPk/OWE5g3m
lucf56noMui86Ubp0Opb6uXrcOv77IbtEe2c7ijutO9A78zwWPDl8XLx//KM8xnzp/Q09ML1UPXe&#xM A;9m32+/eK+Bn4qPk4+cf6V/rn+3f8B/yY/Sn9uv5L/tz/bf///+4ADkFkb2JlAGTAAAAAAf/bAIQA
BgQEBAUEBgUFBgkGBQYJCwgGBggLDAoKCwoKDBAMDAwMDAwQDA4PEA8ODBMTFBQTExwbGxscHx8f
Hx8fHx8fHwEHBwcNDA0YEBAYGhURFRofHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8f
Hx8fHx8fHx8fHx8fHx8f/8AAEQgBAAA0AwERAAIRAQMRAf/EAaIAAAAHAQEBAQEAAAAAAAAAAAQF
AwIGAQAHCAkKCwEAAgIDAQEBAQEAAAAAAAAAAQACAwQFBgcICQoLEAACAQMDAgQCBgcDBAIGAnMB
AgMRBAAFIRIxQVEGE2EicYEUMpGhBxWxQiPBUtHhMxZi8CRygvElQzRTkqKyY3PCNUQnk6OzNhdU
ZHTD0uIIJoMJChgZhJRFRqS0VtNVKBryM 4/PE1OT0ZXWFlaW1xdXl9WZ2hpamtsbW5vY3R1dnd4eX
p7fH1+f3OEhYaHiImKi4yNjo+Ck5SVlpeYmZqbnJ2en5KjpKWmp6ipqqusra6voRAAICAQIDBQUE
BQYECAMDbQEAAhEDBCESMUEFURNhIgZxgZEyobHwFMHR4SNCFVJicvEzJDRDghaSUyWiY7LCB3PS
NeJEgxdUkwgJChgZJjZFGidkdFU38qOzwygp0+PzhJSktMTU5PRldYWVpbXF1eX1RlZmdoaWprbG
1ub2R1dnd4eXp7fH1+f3OEhYaHiImKi4yNjo+DlJWWl5iZmpucnZ6fkqOkpaanqKmqq6ytrq+v/a
AAwDAQACEQMRAD8A9A3X5bflvPfz3dx5W0ua7vA/1uVrCF/W9SRZWM3wFXYyRhqvU1xVSk/K38rZ
iqv5Q0hxAoWNTp0HFVVi/FKx8QCzkkDrXFVS3/LH8tYj6lv5T0qEOpDIljbxowZSp5M xhApPB2WrC
oDMOjGqqta+RfIdo8UVvodjA1s4mjVIIxxaRGhWtBuOFUUHZQABQAYqvg/L7yLb3cF3baBp9vcWv
H6vJBbRRcChiKkBFUVX6tFxPbiAMVZBirsVUpnkVlKq7AdQvGhqD1rvtTtiqSeWvL2qaXPfT3Wq3
OoLeMGigumZvRCs5olXkG4cDanQZlanURyCIERGu7ryaMOEwJuRlf2J8GcuV4EAAHmSKE1Ow77U8
MxW9v4vAff8A2Yq6reH44q4E7bYq3iqhdJOyr6SB2B3DSvEKEEHdFauKqkHq+mPVUJJVqqrFx1NP
iYKentt0xVymX1SOK+lT7XI8uVenGlKU71+jFV+KrQZPUI4j06faqeXLbbjT+OKraj1VWorRjSu/
XrTD0QqYEoPUIY34MzQIw+yZ059KlqfGnbFVe2jCRBaqSC1TGCi15Gu1W+nfrirgg9ctVfs0pQ8/
tH9qvT2piqpxHv8AecVM UwG+sHccSvTi1aj/LrT6KYq1yT6wift8XIPFjtUV+P7I+Xf6MlWyOqtkU
oe7Sc09OWSMbf3YRulSftK3X/axVdbrOsQDuXapq0nHluTT7AC/LFVw9X1D140HWnGtT0/a/hiq7
957fjirv3lT0+n5Yqs5P6yKQaEMSwHw7HoT1+WGtkKuBKFvfq/w+t6++49D1/wBnff0f49cVREUa
xoFUsVHTkzMdzXqxJxVsIA3LetKdTTrXp0xVvFXU6++KtcByB3qK03239sVbxVCXemW93Ksk1HCc
eKMkTj4W5Hd0Zvi6Hf5UO+Krjp1qLR7WCNbeJ+oiSMDt+yysnbuMBCCLbtbCC3HwgM1SQ5SNSK9Q
OCpiAojSIwpdirsVdirw2fVo7PVLrVNCu7u80VJooNOll1XWb1biasUnxo9/xSkqupDRhPTBLtwJ
zX5s+W/Rw8PeeJysOCOQCjv+Px3dbQN1+c/5vrNBpkWm6LFrdwzLaM wXJT9+/oiZY0jh1GZ4zw+Lk
54kMvjXL5akRBMhQHlL/AIlEsA5A2f8AN/4pyfnj+arQT6cNF0seZYJI4pYZma3iRpOQDIklxzuE
Zwq8omIAYP8AZoDKUzwwyWPCnyPO966cvd9zjZYkTABA777/AMeR/Syg/md+Zuo6bep5X8oRarql
kxilkmvLa1j9RXQVMBmdgHVn4/viKod+lRg1AyXW/CSDz+HPybDgnjFZa4zuANxwkmid9th875KM
nmf/AJyRS6qnlPTpbP4OQDQpMCz1cIDqJR1SMUDsyFmI+BRWk48fWuf2fj3r6L68vt/H4CJ1XzL/
AM5CGeNdI8p6eICE5teSxVFVq+0V7seRpQVpvuwoTImQPLZJGPgB347+FPVcm1PA/wArvyv8leaI
H1v9GadJ5fdprWO3WG8WdgqKq/6Quq6hBKoV2RiF+0D07RGQzjwkbRO32HnzbRM45y4Dz2NefP7+
j0TRfyM S/K7ReB0zQktpIgwimE1y0qcwwYpK8jSKxDkcg1abdMGTHGcTGQuJ6NQNGwvvvyZ/La+kE
t1pBklA4iUXV2r0+ED4llB24LTwoKZLHEQx+HEDgHIUNuu3dfWufW0ykSQb3CfeXvKegeXYni0e1
+rJKqLJV5JWYR8uPJ5Gdz9s9T3yvHhjC+EVaykZGyU3y1DsVdirqD78VdirsVdirsVdirsVeMaF+
av5sTNPc635RnsIYZCkemRabfz3EqGIsri5RjAq86cvhZu3E/aymXi0DER3Nbkj7KPzNDzDKUojp
I/L73qnlzWJdY0qO/ktJ7FpGcC2u4Xt5lCMV+OOSjCtKjxG+TgJixPh4gf4TY+BoX8mF2TXIHb9a
Z5NLsVdirsVdirsVdirsVdirsVdirsVdirsVdirsVdirsVdirsVdirsVdirsVdirsVeDXv5J+e5r
9b/S4fLvlu+tW+s2OoaWgiuxcCJkIkljsYOUUjN8M a06VB5KeOUaeGTEKlIZd+co8Ox7hEncdN9/J
s/dncgg1yB2vpz+3ZN/Lfk3/AJyA0xJLa78wafcwmAQxXT3d1PMH+CkjLcW0gJX95SjAtyHIniMv
zAEyMTz5d3ys19v6pYZQ4hxj03vXNGW/k786v8Xadf3XmG0bRIroXOo20c9wDKpKAxRwmEIiIi8Q
DIa7k/E3IY8ITr1He/0p1Rxk1jBrbnz6dz1bMhodirsVdirsVdirsVdirsVQuradHqelXumyySQx
XsEts80DBJUWVChaNiGow5VBp1xCsc/5VnoH+Af8D+rP+iK19T9z63+9P1qn916VOe3930998HCK
qtmPDtTLBIhcoGHMCpWu9PlkqNWgTjfDYvubwM3Yq7FXYq7FXYq888rX1ldeer7VLfQNVtrzUg8N
9dy3OkT2sX1ZUiPJbW9uJlIaBU48T8ROw+IiAjEni6sq2uvi9DybF2KuxV2KuxV2Kvn3yP5O/MM fy
f5ruNR0PycbXSZ7I25tZLmz5evVXZzHFepB8XphQwXl26VOEz9NAe7+0tuTezfPpW3y/H6WXx+Y/
+cgZLeS3/wALafDeRMwXUJJIjBMtTxK2yXzSR9usprQ/ZrQY5lkEiQLj0HI/Hcj8VZ5qYwob77X5
d/vHd386HJfda7+fsEVkyeX9PuTNCv1wQCMyQzBV5/BNqECOhYtwpL2+Lj1wcWWzsK6fjdIGOtyW
aeWL3zXcG5TzBYRWZhES280LKRPVSZJPTDy+lvQcC7U/mYbkYJZCTxjbp9vmb7722I2BtoJ9R7k8
zJS7FXYq7FXYq7FXYq7FXYq7FXYq7FXYq7FXYq7FXYq7FXYq7FXYq7FXYq7FXYq7FXYq7FXYq7FX
Yq8Wg/5yY8uLdUv5dJgsRQm6hutVlYKOLsODaREPUEDFwgbqOJpWuR4w2TwyjdiqZzF+bnkOXVjp
C3lyNUFKWTaffpK1QD8CNAC+zCvM GtK5COaJqjdr4UqulJPzl/LmTUtR0yPU5ZL/SJfQ1GBLK9YxS
8zGENISCzOvFQK1Ow6jJTyxiOKRoDr0a/wCIR6nl8rQ8356/lXBKYZ9b9GdWeNreS1vElVol5sGj
aEOPhrSo3oaVocYZIyjxAghl4crqj8ijLH83/wAvL/RLzXbTVGl0iwmNtdXgtbsIkwAYx7xAswDA
kLXrk0xxyOwUJfzr/LaEsk2pTwyqKmCSw1BJqcSwIiaASEEDag3O3XBMiPNEYmXJC/8AQwH5S/o7
9Jfptvqdaep9Svq+NePocqe9KZX40eLhvdl4UqutnmVzZW8d0tvP5p8nzy2siy3Omah+ijXigqCy
aZCyMVonLhUAlqdEEDEiXKP6fucg8IjVzB+HcPx7lbzBperw6FZy67c+T4bxZLo6pBd2kYT0jHDN
H9Xs5dNa6EywRF2hckn4WqVoqHHhEAeGuIjntv3XQH3NG91KUpR/nbX+q/1ILM Q7G1mntVvdR8v6V
JYHiL+z0mG1kjT0w7y3H17SPTtDxjIUFlVW+AlmplMsglwiPBUufW/d3pnDYkSNi6uPys8Y4fPaS
PvNOuBcQxWnn3y1FaOGlhkvItHeeSDkziW24afbxBAAWZuMgY8gGXiWyJwnHxEDHv5cPu4jvZ6fj
aWMxIiZGXGPv68J6JfqflrWAIHi8z+SWsjHGgur+x0+RBMX5r6ZjsoYxWBWCqXJO5AFKiyOTrQ4j
033H+lurry622zxg7RiTde//AHRv30Pdtup+V3kW88y6Z+km1Lyxr2nyi4S3+qaRY2ciXEVRFJ++
0uqkdSGi2rUch9q/xfVwki+m+/y7rcXJL0ggeq/q3/HLf4Jr/wAqU/Nr9E/UP0j5Vrzr6n6Gs6da
ep6f1T0+Xp/Bx4+/LtkP3t3+n9PCzvFV16vx5/jveh2n5F/lTaW/1aDQEFvyaT0mnuXUuy8ORDyt
Uheh7dRuMuAAYeM JLvR2rflV5H1a7N5f2c8t0ziVplvr6N2dY2hVmMcycisTsgr0UkdDh62gTIFIa
D8mPy6t9RbUoNPuIdRckveR6hqCzMSCPicThm2Yjc4igKAHyH2d3wQJEEm7vv3HyOy2f8lfy3uFd
bjTZ5hJUSCS/v35BizENynNatIzGvck9cEogii2DNIR4RQHuH6lSy/J38vbEOLOwnthJx5+lf36V
4BgPszj+c18dq9BkTjiRRAPvFsfEld3uE20LyN5b0G6e50qCaCSSvNWurmaM8goJ9KWSSMN8A+IL
X7zkRhiDdb9/X581yZZTriN0n2WsHYq7FXYq7FXYq7FXYq+erL8+tCg1FfU1/wAz3yhyGtJYPLwX
lFJGzKXiihYAiqEcuRqeNGWojAkgmuQv4Bu8A3zHv6e73vRdY/OnyzpcFrcywTz2t7I0MEsTQ7yL
wqnCSSN+Xx/ZAJ79KVx8eqjORA5d/MH3VfKt7r37tktNRokXM 8P10k+rf85FeWLK9lgt9Mvr23hVn
+sqiwLOqqGP1MXBi9cr0dRRgdgGO2ZVit/hz+3uazhI3/H7fg1pH/OSPkzUdUs9Pksb3TGuzT6zq
RtLSGL4S1ZDJOHpQdlP35MY5H6QS11EgmMga+Hw/s2Xf9DIeRTrUmlpFO3pvJGboyWsUTNFyNUE0
0cjxuEqkqp6ZqByrtlEpSiPVH8fY5GHTHJLhB3ruJ+6z9ikn/OTn5dNcejILqDlam6ikkWNkdgaf
Vw0LzBZjTYPxWm/KhFZR4iOIxIi1Sx8Jondv/oYzy763q/o2f9E8ef6Q9SLjSvDx9Ll6m3H1K8fi
+zkuKHh8Vm+6t/x9vl1ar3p5haeens57bUrnzd5pv0ua2q6NLp1zAY2kBWKZ5TqEMfJvhcKJCSjV
4g/EutJjl9MZyjW/FGUTfl/Ft37cxz6OXDDOUiYwvbl+noPx3J3qXme0sLU2MfnTzFdT2skd0Lt4
2M Jv4ZIxLHFEfrlpQA/Aw+BviAI/ay7MSIipGjtsBtz9Vn39b5DZtnKWQ+qMeIXsBw/MRFIGPzYln
qFxqd3501+KK4jWd9MmWkKiKH4ooOWqOyM7dW50J3VgvxZjQjOVYxOZlvUq395rY9K9Pv3SNOOLi
nHbc1xcPL5j5/BBaP521GLXv0vL56197QC4+p2ktpbm3QXKMYXkVtTlSUIZl4807U+HYjInIYoH1
HijV8yTXOhdD7Oe1sBh3uhwHz5DzND7kFceYb/TfMUM9/wCdvN+qrJM9xDaWkSC2mgaeVUobfVVU
J6kbGpoPT24qKUyxhPhGYkAAa37/AI/jq45kIn1j9HPkm8euSTLpzt5281aZM0y3TWWowupKAMFS
aIXyT+nJ9uquVKkd9xiynwESJ4hy29/PnX6XIGLjiTECvfv+v9CUf451Gv6b/wAaeZPrvoet6f1e
HhTj6f8Axyf0zy+z29Kv+7a8fjy+j/O+7+xM dvr8MV3XL7uLi+3myP8v7TUfOU8+lQ+dtZju5IzcJ
eR3OqL6ccLBBx53Zj5sH+NW6N+yQKtVjyS4qN/Z+Px8F1mCOIR5XLpZO1Hr3iqIO9+VPULz8sPNE
9vDbwedtQs0jP72SJrh5pVAA4l5rmXjyH2ioBrQrx+LnkSieYO/zHycXjjVV+Px8fND3f5W+eJKC
Dz7eRqqemvOO4YkEANyKXkVa8ftUDjejb5EQltZ3/b3fYkzjZICT/wDKkPzAb1Gk/M/VCWlmkSJB
eJEqyFPTjFL/ANUrFxelZKmoqdjyBhIm7/H4rovGL3F18Puq0fZ/lH56t+Jf8wLyQiNonqt+QytI
ZA1H1GSjitOQ7CnSoIliuJHEd2zFmhGQMoCQ6jcf2fjopal+SvnGW0ji0/8AMfWLOZDRp5JLqcsp
BJBBu0/aYlTWoFBuAtI4oZAbnIS90a/SWXj4wNob+/b5Vz87b/5U152+o/UP+Vial6PDhM 9Y5X31r
lxp6nrfX6cuXxU4ce3GmDwJcXFxG/s593Llt3+d7o8bH4fBwfG9/x1Y5qej/AJ7afrEcuhaE18I0
Wa4uLzW9QFtLMj+oUitpNYm4AmNQoYcSGKv8OTxnJZ4gOe1d345tXDA8j8/0c2Tz6v8A85GreQ+h
o+ivZmQfWAyMsixfGTwP18h2og6hRVl/yuIlkmCRw38vLzHefl7rZRh0KKOs/n0+sRIuh6VFpCOD
cSM3qTvEI1YiIC6RVfnyQctujGnQwyTygERFnpew51Z3O38W29bc1EYk7mh8/wBH473oWmvfPYQN
fqqXpQG4RNlD/tBd228Nz88uxGRiOLm0xvr3n70TliXYq7FWPWX5i/l9fXAtrHzPpN1cllQQQ31t
I/J3EaLxVyas7qo8SQMVZDirsVdirsVdirsVf//Z</xmpGImg:image> <xmpGImg:width>52</xmpGImg:wM <xmpGImg:height>256</xmpGImg:height> <xmpGImg:format>JPEG</xmpGImg:format> </rdf:li> </rdf:Alt> </xmp:Thumbnails> <xmp:ModifyDate>2021-03-14T13:33:34Z</xmp:ModifyDate> <xmp:CreatorTool>Adobe Illustrator 24.1 (Windows)</xmp:CreatorTool> <xmp:CreateDate>2021-03-14T16:33:34+03:00</xmp:CreateDate> <xmp:MetadataDate>2021-03-14T16:33:34+03:00</xmp:MetadataDate> <pdf:Producer>Adobe PDF library 15.00</M <xmpMM:DerivedFrom rdf:parseType="Resource"> <stRef:renditionClass>default</stRef:renditionClass> <stRef:documentID>xmp.did:77136de0-3838-0643-80d0-c90fcf6fc9ae</stRef:documentID> <stRef:instanceID>xmp.iid:77136de0-3838-0643-80d0-c90fcf6fc9ae</stRef:instanceID> <stRef:originalDocumentID>uuid:65E6390686CF11DBA6E2D887CEACB407</stRef:originalDocumentID> </xmpMM:DerivedFrom> <xmpMM:History> <rdf:Seq> <rdfM :li rdf:parseType="Resource"> <stEvt:softwareAgent>Adobe Illustrator 24.1 (Windows)</stEvt:softwareAgent> <stEvt:changed>/</stEvt:changed> <stEvt:when>2021-03-04T18:40:21+03:00</stEvt:when> <stEvt:instanceID>xmp.iid:11f4d629-9d38-a649-9273-aeb17a9f0420</stEvt:instanceID> <stEvt:action>saved</stEvt:action> </rdf:li> <rdf:li rdf:parseType="Resource"> <stEvt:softwareAgent>Adobe IlluM strator 24.1 (Windows)</stEvt:softwareAgent> <stEvt:changed>/</stEvt:changed> <stEvt:when>2021-03-14T16:33:34+03:00</stEvt:when> <stEvt:instanceID>xmp.iid:a3f0deee-79d4-6f4f-8941-9d19b0a5d347</stEvt:instanceID> <stEvt:action>saved</stEvt:action> </rdf:li> </rdf:Seq> </xmpMM:History> <xmpMM:RenditionClass>default</xmpMM:RenditionClass> <xmpMM:OriginalDocumentID>uuid:65E6390686CF11DBA6E2D887CEM ACB407</xmpMM:OriginalDocumentID> <xmpMM:DocumentID>xmp.did:a3f0deee-79d4-6f4f-8941-9d19b0a5d347</xmpMM:DocumentID> <xmpMM:InstanceID>xmp.iid:a3f0deee-79d4-6f4f-8941-9d19b0a5d347</xmpMM:InstanceID> <dc:format>image/jpeg</dc:format> <rdf:Alt> <rdf:li xml:lang="x-default">2-CryptoPixelPepe_1000</rdf:li> </rdf:Alt> </dc:title> <illustrator:StartupProfile>Web</illustrator:StartupProfile> <illustrator:CreatorM SubTool>Adobe Illustrator</illustrator:CreatorSubTool> <tiff:Orientation>1</tiff:Orientation> <pdfx:CreatorVersion>21.0.0</pdfx:CreatorVersion> </rdf:Description> text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 "name": "v_v.sats", text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 4j2DC-L5:SEUYeUI2ELKBVq5+/CzaVG8/K6QWNyr1Fsr0rGevgzI= xxxxxxxxxxxxxxxxxxxxxxxxK Aj?=:ETH.ETH:0xE0936Fb93a8B3D58678947009652E050d96115E0:1846266::0 EjC=:ETH.ETH:0x9D4D9D17661d1Db75dd7Fa0C79DAe2aA359d37A3:579442385:te:0 text/plain;charset=utf-8 LL{"p":"brc-20","op":"deploy","tick":"wise","max":"21000000","lim":"21000000"}h! xxxxxxxxxxxxxxxxxxxxxxxxK {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "bloody"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "orc"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "frozen staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "rainbow"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "blue fire"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "parrot"}]} text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! FjDOUT:63162D1D206B27AA0C549DAF63B2DCAE7C7F7B16091A2FFEC2FBEF29644E0FFE 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobeM .com/xap/1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"M > <xmpMM:History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed=M "/"/> </rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> >Kuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu "oGuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu FjDOUT:21546EC390558D1F4BA9DDD01FBE6369A703CE301ECF911CD90C183B9A6938C7 FjDOUT:D16CFCCA5BC2AB6C409991E72F5A8351303FCC8844D68EB475BED4DCDDB5B21E FjDOUT:12EB753AA526BF234804D97A00F0FCF76C764B34608029587A3CEDCC54973FE1 '#*" "*#>1++1>H<9<HWNNWmhm '#*" "*#>1++1>H<9<HWNNWmhm 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobeM .com/xap/1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"M > <xmpMM:History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed=M "/"/> </rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> >Kuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu "oGuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu Compressed by jpeg-recompress text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h! text/plain;charset=utf-8 6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 E{"p":"brc-20","op":"deploy","tick":"rcks","max":"21000000","lim":"1"}h! wwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwy ffffffffffffffffffffffffffffffg mUUUUUUUUUUUUUUUUUUUUUUUUUUUUUV text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h! text/plain;charset=utf-8 6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> text/plain;charset=utf-8 "name": "c_c.sats", text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> text/plain;charset=utf-8 6{ "p": "sns", "op": "reg", "name": "greenlight.sats" }h! text/plain;charset=utf-8 xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx x`nvT|s]cmH_f8PeUi_Ge^FcNP';V-6 xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxx; lpyttt,,,zzzoooVVVLLL666 xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx)o xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; text/plain;charset=utf-8 xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxx ]QlPQ\CNmhMVVMT]LK=L mqU]k[[P[MO[+M#(5"&/ sX`nRWdPS[9BP[IO[EN7:B*3@ tyzn]bmnscnocngbEO`@JX=DS[eP xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxx[ text/plain;charset=utf-8 0d/Foundry USA Pool #dropgold/ text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "rainbow"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "fire"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "broadsword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "none"}]} text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_532", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 4, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 20, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "cka+PLG/jL3zozI9AJ4oPPOvzDvwxGi8uXJAPMpslD3STfM9K+bNPBqfCj10z+27Ke3bPAkIOrxsUhw9eHcLPY4BiztpY608s2OYPK4IuTzPhxQ9k4fxvIqfD70ryDU98MECPUrmnDwGllQ9yhmCvAQ0lj3ALUs8SQVtPfIpBzt67fM9SGJVPYiwDTz8cDS9exQBvauH/Dz8eCK8OfcfvUlFaT2L2Ta9Zu4M 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 m7Nk8ctiBvJIRYj0tiEK8Mq8jPSjChzzArmc9mTcPPZB3UzyAN3M8qRddPamkKz3eOWi7BWUHvWYvAD7TDts88VEovAjIAL0Yvas9SEIJPQ7JhjzWwPK89WfFPSqnuDxqH7U8Zb7EvI4/tj027wA95RrbPAvWNbyu84A8juFgPdycZD2Bf5Y8VjS0Pe0duT2hCqs9FRVUvZZStD2r4z09XJRdvM/EnLzJiak8r4kEPcc1jLx52IY8FtOuPSu/0j2yYqE9AP52vTf32T2AlFA80Mw1PDzxqbx8nsI8LaPiO59TWT1TMk68wRGVPeJaVT0p+Xw8L0oqvC5v0j21tu08u6r7vEYpnLppKV09hXFePUzAgz1fbBi9I0qqPU6MND2jxME9CWsuu4Gyyz11BzW8QaYOvQbwI73zk/o89kGQPcqDzLtKcTm9nKfTPWYGvz0c5J49WoprPGiP9T3NgUA9VCpcPdgSRbt2kq08FJRGPeOkhTyNQGc8nV2+PVZamj3d5sG6hmmM 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 nbuO7FfdsvCK7mjxAF/08r5WvPZijqz0j+4o9oDISvNzJpT3jkBw95eUYvRaoWby1zAq6oi6dPY7iyrsR5IQ8p1KIPUUniD2YFGI8rPaOPKNa6j0+VQ875V0GPBl3gjxEsyw9F2/0PEpDxDtM96+8R0uePeZK0zwRaGc8h6UAvU3lDT24/B67A/hiPWoM/brHKqY9R0k+vDGMfj3Yege8MQR0PR50lj1VyTc7qhQavdR9+z1f+oM9ScYyO2RPoTwYuZ494PtkPNyIUTxbE1295at3PZohtz31MlU9ns5ovSXuhj0sFUc9gzi9PNF55bxXhRM8bTb7PGEe5LyuYRy8B1j6PUe1iD2DqSc9WoAvvYIMkj1Eg+M489UhPSy5TryLAjU9wjBdPblcYD1XlRy9NLK6PKrWTD32CSM7oIQHvelXsT1tP068nNHBujQjEr1pgA49HXFJvP3rAT2whwy9L17hPIFraz3unoU9h9UkvVHdwT1pZ0W8tFkWPRb/VzvErRY8qvIM JPYwGJT2O8c06pAR3PdgIVT26DK09HcxivN4xtj1TYBe9QLEkPEvbWDmM0hK9KfD/vGoK0LzbF3A9YFDnOsrHhrz3n3I8zjghPWpjizwFWXE8SiXNPDLPKT3kIas8uh8sPSEO7busWOE899dCPa0xaD0NxLo9CHO3vCVxpLxQhFq7YZJGPW134Lzsh5o7iJoCvXXY47ymLoc9HPetvF2BHD2DF5o9JOf7u0z9TTwoBoi8VebLPCzUIr1KoQ29grRCPU4+bT1AeME8fb8hPVwdqz0KVpM90l9CvFuRDj28y0c8So1QO5lyGT0JUJC8X/P7PI5nID0qu3g7ny13PUMxlrzFdqM9BWhCPMqjKz2PwBK9Zm8XvPgLIz3yQWI9BxCzPD+UMbwXN3a7qRQWPYDu5jxg5iS8WnLkPPVfxj01uqS83J7iPN8mcLxNRfe74vSXOrjmwDswvAu9Stp4PRAx4DwHq5E9DoWHu4RAtTz0CD89N+QGPFWLCLv82K09PmhMPRAkCz1M 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 BOP87n68UPMKCXb06WAw9ND1JPfgxsLzvIGy9bSRbPYpzhz1e+AK8gyOLvNnCrD36i3A9pYnduxtvZjvI6ck9K3jCPLJ6sDvnx3u95MWHPUnP4jxgDpo9ZuAXvUtCoT3mCWs9GSmMu4quZr3DZa498ckjPcw47Dw9mFc8LAwBPtCJn7vGFfO75Z9lvegitD1tvgK9b0xHPA6iDT3Pm6+8GSiQvHrHQb2CHAI9oNAVPSxnQbwFP5U8vJf6POanuzztEmE9WXdUO+wa5LxUbtI7yF6qu3XGJLwd3Rg8Ap0FvfhRJLygfKs9f9rjvITuOj1cUre7KtYsPQge4Lx7NGi8jgJ+vf/gxD3ElyW9dn8duweSFDzqQbs9DCaVvXG4Jj0WTVa8P/W1PcdwLr1ArE49Dnc7vTewnT1C6Ac98+08vF7BGL0pTeA9U1NAvJCU6Lz0Tu+8TLqdvehryj3u4NW8FpY0u+zapb3D1+I8MiJtvBKJV7wKSg48xfxRPXhrt7xF3ZY76S+M 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 RvICZtzox0js8l40xPUP/OrwMTe67yyOgvQZRDb2yjiI9Voq9PL3c7jzbIEY94WPgu00+Cb0tcaM8E3nBvGNogr2oap48qbmCvE+fKz3N1oa8ia8tvOblDb34Fmm8BKYsPU8Okb3V54Y8jjjuvY7ATDyuTnU6MSLiPLqvz72cnaw9r2yevXTTSz04ZI+9vGocvDXyp7wpeD69QqOmvTAoiTx4kNi8gwo2PHl4AL6QnzA8H0hovCjXoLtPLAO9XJ0fvUblF70VzQC9Dtz+vPyJ3LzmXns55dxpu8Teir0HhyS9+CqRPTigIzuL7Hc85/VLPYQVWL2b/RS9r/oJve6Jcj1MAHi98RlNPCQB0LvxEMo82rxEPZiQTzwmQsg8kfiPPfpwLL2ApqG8a0IkPKU1nz1q42O9uST1u30zdbzyd709tNY2vbEf4jo7aBM7qxqwvZ3zij0idNe808crvQmM+bye2JM9Msupur8OL7u7HRA9W9rJuwbPqzsbG8u8t9ujvYG+ID0M 4+R29gAt7PbVZx72Sea07/6jvPDxSNTywInK9R071PKP5DD0pg1g9NAbFPAJ6n70B/i49O9MrvWb9NT5YkdC9OM8FPahXq72B9vk922TXvFLCtLxdQ928/8pUvoNNKD1E1wE+1SC/PeeeCb42SYc99IAPvLgziLxXSKO990yOPdEqab2eReS7k72HPfRl/7x8RYm8f4X+vG/Woz3f1Aw9ywVvvZCSHb3zY9M8erLPu6TIBL3pFHk8AnYrPTuJ7zyOPe48UdbAvS/SUTq7TAq9FAKUvJVho721elS7lWOpPMroLbzWTiQ7UX9DvdkCxr2Ia0I9k76XPCq2aL2CpgS+8wbZPcpSRL3pS7q9fcswvqjMmz3V4IQ8qq2gO5947z1veL2942ElPgYeCT0b8TE+31QIvpNWPT51TE89ncfSPVdDEr6iLko93A+MPY3lkD4oofy9g8kuPi/cuz1twog+RBcVvhXxTj4YkS0+Mx1qPjjwc74E8Yk9sua4vjmSdb0700w+rw0M 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 SArS8RbEXPQhI8LyZuBk71r/Cu+DvrbwKD6k8v1GAvff/LL1i2+k8oz0fPFOF9Ly16uW8fnlkPS0PozxaOQW9FPyZvR9F3j24Zgi7ufGpvQ7uWb0utMw90ouYvIkQEL2i0VW9u6ZivH5Wt7w/CUs88rbovY6XurxKX5G8cbVvvBN5AL1LwOG93VyCPVupfD3mHhq9FE90PXa/KToKdC+9FSgnvLxguLrwd2O6NZS/PHGKiDz+loq9M5JhPdKN2zsrcwg9mKWXPXkuerz6Qb68lnPaPOCYgz2c5SI8TituPNg/vLxvjcm8LrpaPb7i0DwJHCm89avAPfRSIb3bKKY7luJEPEOGgz07pF+9AEIMu3WG17zYOMM9EukSvX6+qzxgUDg8nwvOvWDlyT08b4C8qk0uvYVjKr2PPqs8kk6LvcQdvb3hBjM9YFKUPY9MV7vEnQi9LikJvfYpYTzDS4u8qaprPUiYDD3IOBU9P6CGPTKy9jxQn4E9/5oDvf0rnzzVXjo8FctM 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 SPOcyAzzzZBi9epecPRyZtjwb91297SWDvdBz2j1/RL48LysfvVqRC741gjQ+iKEUPUTjjr3PrE296MUgvA4S4byD02K8yljGuoL0SL0LuZg8SFNcvaQ9trxIvpS9gM+2PXaI+rwAcA+8y9MJPfYq2jxagwG8DxCbvZJOoLyZmo+8tpUbPZNdJb2hj7y9fwLFPHeCZDvHK8Y8tCzjvM7GzTxNrhs95npxvI1p4LupAeY8cq4dvTPuhbyZEeC9y31tPUQZUToDreU8deZlvTVoJL02nXQ9ZyyBPRmAVr0aWRK9hk+yPXPNUz3fzD69aISDvEv0TjxdxE68IqEgPZEIdryDf1c8XOlQvXO7sT30xSu8jGnpu6l1071JgCs92aU7PWz4J7wugWS9R+YGvJraMDyNMjm5ThKGvVe70LyKwcE8ZPMzPXpeITyB5rO8fi3gPPZ/7DtMplU8F1i3PaJTj72jdrE8new1PYLFjTzQaPK9R3itPSlyDT74ZCM9hy8IvjQnbT0M 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 +PMUPFr6ToOA9piqaPRbjxDxXoA++eQuFPP54yTx4gwA9R6IZvSbsfz1AziY9GlGou75E7TonjMM9vLoivbo64zwHXv69PJ0kPQ3o7zwiQhQ+BQ6ZPQYYkDzNhgQ+GmziuxJS2jxWdKw9pt5bPRKLAT1iCoq9C4g9PCWaTz2k1BM9YQ4pPvnbz7wAMeY9ieNNvQUIED6xfgs8yk25Pf62hbvsX1M9adbOvBjpCTz8QTg9McEaPv4e0b2LHaY9Ydl5vY2jPD3Fl2G9OdCgPQyb4rwoNz89gZKIvTDCqT1J/Ju8Xva/vMsDg7271a89oemCPaSiY72Diz29G/ACPtNB8T3LHjs8eD2LvbAogjr99JQ93qkfPAEBND0P7rQ9dv+EPVaJSb3LSJg9T8olPqWjMj4U76U9O7cRPHl4rz0tkrw9pq42PkDACD3kKBA9N0RuPQbFNj5Y7pI85ABEPWMdoj0Bbso9XKhlPJ8UpD2eeL09yO01Ps1mHb0Ku249tp8fvaS8uT2M 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 LPbUqjTwytv48iFjEuwojxjyKwwe9IrocvIxJurvul507OwOEvTQCtr2T7c88LKijPSigRb1DmWa8z+CqPG3+bTym7Ji9MwKYvP3trbtSxoY91XCcvdcc473Qf8s7bovOPTtNG7yvjoy9/vaUvO3rdT0xQwm8OBNmvDuvKr2a8mA9b+9dvcUynr3qg6c5WgjYPfQVe72MFm88qfDEO4gWTD3KLcu90ovevBZqmbwTFv89DjUPvp4yAL3FKM6965TmPf3Ga70OzSC8J8bfO89kmD3dY9+9YxHcPLUl1LzyA6M9SbiqvVzG07tZpmK9YCSVPcV2gr15Ed87Nl0pPW0FHT3vbWk72a0QPK/tpDzMXBI9+JgkvTvYg73ZJWC9IXcLProarb3zRaE6kJCfvIwCRD1pvya91n8+vQwMLjvvjNg9AAYLvubfDLyH2mu9ZxSbPb5wgL0JRWc5tQS9PDEQizxqLT+9zxTcu9UrEzyvnw89mrbhveQgUL2Eg6G9cRjIParvZL3M 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 l6NK8p3wxvZ13Bb77H6o97JPCO++X1bwLQ129Yu5IPCanPb07/Cc88Zc6vtdUYzwXx009AJt9vOTfMr6k6ZI8dIMwvXo7cjyYtxi+4j63Pe6b37wxkX+84xZ8vfNkiT1uO8u8cew5PaJorr1TnX68NEgIPYVqurukOdG9SOG0PVS66ryW6lk7Xf7mPAXNqTzg3Tc8EZ+MvckqAL0EN4W8oPAzvVI/cjzCZO67wVk/PciTDj0B/HG85oYMPbssojxEFHC9RVYePBcFOD3sWyY9aVUSvXsvWr2oG3Y8hs+xPU4AGj0AlPu8hc4RPSUFPz3EA5a8MwWSvfjjqD0QvUM9FnA0vQIwlr2JCzE9DUClPREtGL0RoTa8zRi9PdCOij3GdIG7gEsovRs39TyRZA09nSrmvd8lQL3gaw497ZpPPXeoFb2d4uO7l9q7PerlST3PO0C8W121vUDGwjy30Ng9A0N0vZ5XZ71PYkM872moPfsK0L3+6oy8IrkLPKs1hjx9VA+9dAFM 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", "traM ining_traits": {"structure_gen": "Random", "n_layers": 2, "max_nodes": 20, "activation_func": "ReLU", "epoch_num": 5}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).gM etTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=mapM (n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a)M ,this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constrM uctor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertexM (i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearM Gradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.pushM (new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0M )&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let rM =0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertexM (78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599M ,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=2M 5,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.M 9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96M .6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVerteM x(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(M 383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,M 49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,M 251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezieM rVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertexM (57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVeM rtex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(1M 80.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),M e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.M 899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230M .1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,M 434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.M 5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,M 147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),M e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.M 8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bM ezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,31M 2.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVerM tex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.M 5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.beM zierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezieM rVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVM ertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.M 2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,20M 6.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.M 1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.M bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099M ,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVM ertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;M ++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWiM dth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static _M _tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1)M );const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;M ++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>eM .out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1M )}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}functioM n q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=oM [0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{cM onstructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=argumeM nts[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._M pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",thisM .elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,""M );this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[eM ]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&winM dow.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidthM ||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,M 255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentEleM ment)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=M >{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="533";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!M 0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}funcM tion _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722M F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffeM 373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1M ]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){letM n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),M ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButM ton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=cM reateInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButtM on.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_fuM nc,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,MathM .ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let eM =0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].lengtM h);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,ptM =[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,M ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mtM ,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${EtM }`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].puM sh(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=FM (tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,iM t,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),WM e.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTM ER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}funM ction Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,M s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(letM e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to"M ,width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.mM ap((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.imaM ge(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your M Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*leM ,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rrM (l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}funM ction rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*lM e,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 HM ours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135M -t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.textM ("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,heigM ht/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpCM olor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContM ext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,heightM /2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!M =vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recogniM tion ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognitiM on ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),M `${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],[M "2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74M /14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation M Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10cL 1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b454fbc4b745497","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> ms|W_ld[faWe;AP2<J#(4 kotZes_epS\jPXda[cEO`@JXNRT'->, ddd<<<777hhheeeEEE))) xxxxxxxxxxxxxxxxxxxxxxxxx 5Rb\W|p 2O!$BWrhR^Y! xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; xT|s]cm8PeUi_MeTw\NAOA6P=YD:R;1 xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxx[ Copyright (c) 1998 Hewlett-Packard Company IEC http://www.iec.ch IEC http://www.iec.ch .IEC 61966-2.1 Default RGB colour space - sRGB .IEC 61966-2.1 Default RGB colour space - sRGB ,Reference Viewing Condition in IEC61966-2.1 ,Reference Viewing Condition in IEC61966-2.1 ]UUUUUUUUUUUUUUUUUUUUUUUUUUUUUS text/plain;charset=utf-8 kq~loz;>L)2E)/@'.:$*:!$, nuyelxkot_cmZ`mV`lEO`7i]ST[:AO<AL3=L8>J,5D36? _ly]huX_qR[iUXfUZbJQ`CH\>ER@EK08H8;D'-> ikqW^kHUcPT^JTZINWORR3=F*4@698 xxxxxxxxxxxxxxxxxxxx[ wWclayiFbeUUU@^S@@@111 ~H]|cny]ntFioQoiFV^"9QNhN xxxxxxxxxxxxxxxxxxxxxx xT|sQ`jTlf8PeWxdPe[FZZ>^R[QO[ENAOA6P= xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxM xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxxxxxx bmyTZhRWcGT`BI[=DR9>J ouzimrX`qY`mFN`@JX=AP9AP:?M3<L(.:"(5%)4 kmw]iw^bmNXdVZc2<F-6F8;D)4B/5@'-> mowafpLRZINWORR68@698 xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx4 xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx xT|sKllWxdUi_MeTPPPDDD x`nvqwtT|sQ`jTlfH_f8PeQhT>^RAOA6P=777 zFioVwfYycFV^"9Q222%%% PGW/+6ZQcJAR%*292?G>NVL]@8G,'2$ xT|s]cmUak8PeWxdUi_BZZI`XAOM xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxxxxK oooY_nUZeRWdBI\=ERLLLEEE'.:$*:788 lr~{{{xxx_iwYbsimrV_lGT`@JXVVV=AP9AP8;C:::--- ntzglxS\jNXdJQ`EN`YYYOPQ2>L/7H3=F@@@25@(.>111 anzlnu^coWalggg^^^UX^ x`nvT|s8PeG\[>^R[`PAOA6P= xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxxxxxxV xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxx o]cmUak8PeWxdUi_FZZMeT>^RAOM xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxx U--n`8[44{lEwiAse>j\4\Ya0 } xxxxxxxxxxxxxxxxxxx; Q9}ZdtQWd?)]<'[:%X)2E[K4M=%A1 HBDH7:B(/>ox:`P9"'5I9!E5 ZasEO`RU]KRZ@JWOQQ=BP;?J(.:hp3: P=AM2>L/7H3=F%)4!#+h> xxxxxxxxxxxxxxxxxxxxxxxx lr}pppU_lbbbCI[VVVRRS)1E#&0 loz^kwtttXaqY_mIT`FO`#*:'.9!$, elxjos_dpjjjUYfU[a@JXNNN2>L8=JFFF36?*0?:::--- pvz[buZetPT]YYYKKK2<F-4F8;D+5A???'->111 [^XX\eLSJ7MUYLbQLBBB555 xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxxxxK ls|zzztttV_kPXdaaaRT\ORREEE(.>'.:$*: xxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxK v)WaK]VW9TMXS CRl=RNRN!*GO65-JO&ON4OL4[H xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxf xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx W5]K9zB000orM%M<jNguSe xxxxxxxxxxxxxxxxxxxx[ UZO@F<LSGGNB\[[tttCJ>PWJ26/--(<B88=4X`Q^gW_iXak[\eU! ZbScm\+'$HD>LHA01,@<7750D@:<83QNH(*%m 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> xxxxxxxxxxxxxxxxxxx; lp{zzzkmvtttpppkkkPPPLLL text/plain;charset=utf-8 xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; [lTYfPWdIRa;>L.7G6<E$*: xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxxxx text/plain;charset=utf-8 xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; _NGIJCEB;>6/3>6;F?A;370+.@1+G90$!$*&' xxxxxxxxxxxxxxxxxxx; text/plain;charset=utf-8 xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxV text/plain;charset=utf-8 xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxxxxxxxxxxw^ xxxxxxxxxxxxxxxxxxxxxxx {{{pppLLLiiiaaa[[[EEE???:::666VVV xxxxxxxxxxxxxxxxxxxx[ text/plain;charset=utf-8 x`nvT|s8PeWxdUi_B^VMeTAOA xFio``mQoiAhaFV^"9Q>^N4OA9Q9 xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxK T|s[jpUak8PeWxdUi_FZZMeT>^RPPPDDDAOA6P= xxxxxxxxxxxxxxxxxxxxx x`nvT|sXdkQ`jH_f8PeWxdUi_Ge^AOA6P= zFio``mQoiFV^"9QNhNqN xxxxxxxxxxxxxxxxxxxx[ x`nvT|sChhTlf8PeWxdQda xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxx; lo}abhQ[bPVJ26//2+^hX 9>5HMS<AE771\eU*%0"! A<72.)JF?*,&+'$94?FA:=83VLA E=L/*5XN`&!,>6EKBSSIZ xxxxxxxxxxxxxxxxxxx; kotXaqY`mT[hRWc@IX=ES3<L.5A#*; pv|]iwNXdJQ_9AO>AL8>J8;D*3@!$. dnz`mxhkwikqHUcEN`FS^INWORRAFK/7I698"$) xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxxxxxxxxM xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx< QQQe^9\U0(((XXXVtWEEEjeB??? xxxxxxxxxxxxxxxxxxxxxx tttpppXXXLLL666{{{xxxkkmFFFAAA xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxKM xxxxxxxxxxxxxxxxxxxxxxxxK Ybr/TnGP`QT\;BQ)1E)1? lqybmykothkt=aq<ykS[i@}gRWdD y_hvHUcORRAFK&,>698#I1 xxxxxxxxxxxxxxxxxxxxxxxxx QK;;;,,,ooojjjdddLLL111 xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx nWjmrVj~R_UQZ?3W\BTJ7MUYLfa<I!! xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; |\YYY\uN K777&&&+n] xxxxxxxxxxxxxxxxxxxxxx Eln9XZ,BD935?9;E?@'*3JEEULOa]]xuv_SV0*+"%- uY6z]8oT3A3$bJ-UF9cTCq`M|jU xxxxxxxxxxxxxxxxxxx; x`nvT|sUak8PeWxdB^VMeTPPPDDDAOA6P= zFio``mAhaFV^Th["9Q>^N u^L[^RT\CJ[:1Q6:B-4@(/?'.9 fmx_kxVZcEO`@JXNRU CR xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx oFnkAmePWcBI\=ER+4@(.?'.:$*: xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxM xxxxxxxxxxxxxxxxxxxxxxxx4 xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx Ro}WclayiJ`gSkb@^S>O> xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxx; {PPPEEE???|bmWd\)))J xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxxxxxxxx bnyknt]alU\eDO`ST[@JX=ES:CP=AP/WE26? xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxx NNN===ggg%%%aaa^^^G`9 xxxxxxxxxxxxxxxxxxxxxx zzzddd=DRLLL;>L=AK.7GEEE333#'0 nuykotZesX`qoooY`maaaEO`IR_VVV3=L8>J*0?$*: lr~]iw[bukkkR[j\_^YYY\tL8;D@@@+5@"%/!#* qqqikqafp^cohhhHUc?KXMRWAIWAFK3=F68@05M cmykotX_pPWcFO`7=J7:B(.>$*:'.9$(4!$, lt{pvzmoz]iwVYfITbIQ[2>L@EK-6F+5A"(6 TjjCgYAV]OdggCI>OVI6:1--( ^<B8UV7D>-9>525.]fV_hXakZQF5!! [cTcm\+'$vwLHD>LHA01+82&YaR@<7950D@:=94PMF(*% knt_epV]k@JXOQQ7=K;?J68<(.: pvzlszanyglx]iwZatU`kEN`2>LAEK-4F8;D"(6 m}P\'N\=~X*RR"KR 2O:`L!-I xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxM xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxK (((((((((((((((((((((((((((((((((((((((((((((((((( xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxM xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxK oKll8PeWxdUi_B^VMeTAOA xxxxxxxxxxxxxxxxxxxxxx \fvY`nIS`(.;$+:[L&N&& cmyYbs_epV[b~oH7:B*2?26= xxxxxxxxxxxxxxxxxxx; xi|v`nvT|smzrKll8PeQhTAOA xxxxxxxxxxxxxxxxxxxxxx jl|}txwiukwpzsoSAoZZ] chVgdcQUiMSH0SUYLbQL===fa<$$$ xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxx x`nv]cmUakTlf8PeWxdPe[AOA6P= zR|vW|qFioAha"9QNhN>^N xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxx[ S!-IGQG0SF3VEAVDU]AH]A xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxM xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx dddh=.,,,___orM888}}}WWW$L; xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxx T|s]cmUakChh8PeWxdUi_MeT <XXX@@@666'''pppSSSDDD XiMSJ7MUYLIIIWGF===777i xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx ```WWWHHH{{{???,,,oooiii:::666 TH0SZSMRQ=P';V-6\21: xxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxxxxxxxx wxx^jx^epoooXXX=DRnmF$*<`_9788 VMMM3=LIII@@@36@"(5j xxxxxxxxxxxxxxxxxxxxxxxx ~X#gC@000877($))'1/.752< xxxxxxxxxxxxxxxxxxx; j|tWclayiJ`gddd@^S>O> zFioQoiiiiWjcAhaFV^Th[Mc["9QNhN4OA222%%% xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxx[ \boWpHb{S\uMMf>!"#\\\LLLHa9 xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx Pm}uuum{sWclayihhhUufC[Y zg|vWjcAhaYYY"9QNhN>^NBBB4OA9Q9 xxxxxxxxxxxxxxxxxxxxx text/plain;charset=utf-8 xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxx quyknykot_epSXdM+_NS\ST[3=L8>J(.?(.:"(5%)4 \fwijnS\jhWjdddNXdIScCH\NQT@EK#$' xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx [^cQUH0SXGRPPNUYLbQLi `nvT|s]cmKllUak8PeWxdB^VMeTAOA6P= kkkkkkkkkkkkkkkkkkkkkkkkkk; xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx x`nvKllQ`jcyi[yfH_f8Pe zR|vW|qVwfWjcAhaFV^Th[Mc["9QNhN4OAa )$+*($''-2@7-0=0''8L9=CEHIH+6OUNFT@GHE !E.'.EEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxxxxxxxxV kotXaqZ`mRWd@JW=ES8>J-6G+4@36? jp{lszmozbnz]iwiksUYfUYbDP`QU^JR^CH\QS[CK[2>L@EK)0?'->#*; mq~pt|ckvZdvafp^coHUcHOaKRXORR:DP4:J698 xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxM xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Y_mU_kBI\<AM3<K-5G7:B+3@'.:$*:!$, jp|nuyimrRWdHTaHO^@JW=ES9BQ=AP;?J nr~cnz_jwX`qR[jVYfNXdUYbDP`MQV:>L@DK8>J)/? lpzY`mCJ[<ER:AP<@L%(4!$, _kwkntZes_do@JX=AP:>L3=L8>J(.: ZbsTYaDP`IS^@EK-6F8;D/5?'->"(5 pt|dnznvxhkw[ewY_rikqHUcHOaMRWORR19I3=F68@698 xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxG xxxxxxxxxxxxxxxxxxxxxx WpH===Mf>G`98Q*yT@%%%\uNK xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx x`nv]cmUak8PeWxdPe[AOA zR|vW|qFioQoiWjcAha"9QNhN>^N4OA9Q9 xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxx xg|vFio``mQoiNahWjcAhaFV^Th["9QNhN xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx ]Q\CNmhM=PASK?f@=QW; xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx x`nv]cm8PeWxdDddHZaUi_AOA6P= H]|R|vW|qFioQoiMc["9QNhNm (()8>M,2>$$%!,569@!!# xxxxxxxxxxxxxxxxxxxxxx |_epY`mISbEO`@JX3=L)1Fa`:j gUX`JR[43O@EK_~I.6H/5@o xxxxxxxxxxxxxxxxxxxxxxxx text/plain;charset=utf-8 "name": "uupaotui.sats", xxxxxxxxxxxxxxxxxxxxxxxxxxV mr~Zes_epISbEO`KRZ@JX3=L8>J2;G36?*0? ntzanyglx]iwS[jRXd>ER@EK.6G8;D+5A'->#*; xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxx[ knSsg8PeHZaUi_Ge^AOA xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx?f^( lpz^foPWdIS`PT[.5C(.;$+: ujouZctV`lZ_lCJ[AIX=ER*3@ zslwrzsrX`qS[iUXfEO`cQQ3=L2;G68< _fxXuw^jvSAoUZbOOURXN@EK8;Df_: text/plain;charset=utf-8 xxxxxxxxxxxxxxxxxxx; FgW@0 laWt}>nw8]f(w xxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxK x`nvT|sZ`mXdkChhTlf8PeWxdMeTAOA6P= xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxxxxxxK 8PeSh]RbDhZ1b_.vf+if+ xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxx; ^jxknuZcuZ`lV_lISa=ER9AP t_epS[iVYeEO`3=L;?J68<#*;g xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxV lr{Zcu^epY_nBI\QT[$(4 lozelxkntYbrV`lRWcISbEO`@JX<CR3=L8>J2;G+6B)0?(.: kq~]iwV]lS[gUXfNXdNS^NQT>ER9AQ@EK8;D'->$*;$,9"(6 xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxxxx apyayiM`hUufOfW@^Sn,F v}vvjmvP@q{lpyuoWjmrVj xxxxxxxxxxxxxxxxxxxxxxxxxxxw^ xxxxxxxxxxxxxxxxxxxxxx xi|vmzrKllQ`jcyiH_f8PeUi_MeTAOA zR|vuuu]ntW|qAhaFV^"9Q4OA9Q9%%% DeWgaWdO+_XXX@@@poo= xxxxxxxxxxxxxxxxxxxxxx text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_5", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.00784M 313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 10, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 19, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 10, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "dtWkvHmqGb0aLRg9J2/dvIDlZbv7auC7Q4tmPB3ZFj1c34s8gyUMvbWktrwKvwa9IRnSPUz0RL0wF009uSQjvKt8PLy6yCw8jy0aPK0XG71/Dlm9ENThu0tjuryx+Ro9j+GDvGUNBr1dnYu976MSO5P4hD1lM 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 PdkmijzoPoG8yCzRvFdXgTyOK488x6wAPMzvDrzo3l49e8gCPJ6KtztnuKq8BOajvaDuEL1Rc9+6+vDNOczP9zxSu8C8spkxPEo3U7zyoI071NxkvPREtj19NgE9rEmjPDoAAjxfL0O8c5wdPTS6+TybN9m8D00hvVNbPD0TOTw8sIGEvK0+jDx/adI8Q326OV45RrztIhc9Oo+/PMPRCL0yDu68Npb1vDZAzzxsshs9xGUyvU/OBD0/Yme9VKLzvEoRbr2DQKy9aesxvUa+nT3NGS49tvSGvZ2XO739A7Q8mU9bvXeBTj0496K8MnOHPOcMKT1X0J28IUIXvfBVPb02UBs9++AKPVYIdDyy7ru58HtJvT3Afb0N2q69qXQCvaGn/DtSw1y8igAIveEweDu19rc8qffFu0JmgL3a99y8lqLSPNStBj6ZlzA7LQTFvIWcD71vz5g79RxDvcfokzzTvdA5NblnOx9IgbsJRAA8j0AWvcPjMbobFrI87SWDPUEBObyJM 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 jW07sIXLvFB8c713Npk6qJ4RvXZ2jzqMTA+8Fv5hPDMmvTuBG4q8MkUFvb6QjL2dEyG8E+x4vfFdnz3tUXW994RjvUDSjjy71bW8dG/UvJbh1jwpjwS9OmHPvNb4BDoV0Y08qHHCOrwUeTygd8k9bPCtPfmQETxQGvw8mjFMvZN4yrwFt0+9+9JqvKGkP73XQI28Y4ZcPVdInz0A7Xi9po6LPCCiFjwJFKG9YhRGvT2OgT0UiSg86vQpvZ45rTrc0328vg+VvaTDSLy675m8yFjtPARemTw/opY8xmKEPJgJjL1w86s9OE2TPWfFrrtv01S7QPcrvXoKob3Via68yPpkvYe6g73V1VG9vXOBO+mMojyCGc68RRpXPQUlvTuZ4vm9/C5jPDrkcz2mG5k7s3lIPLayErw4KH09RBIxvZ0yST3S6BS96/ZOvHDoGT0VfhI7GNDOOkb9LL30UI89S8Y0Pb617rzwclI8F6GUvRv+fL3jl1K82x7vu4T/Ob2xzGW9LFNqM 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 PW9ZZjxn90k9ZGsFvcg4Aj0Mvag9Q9q+PJnH8jyiTTg6rBpcvJ6/Grw0+Lm8Yj8svTsQIDvDlwI8qV9xPH4Fjb13BkE9r5YrPV4MzTz3CG+9zplvPdEg3j3pQd68S8/DvOPaX71gdXm95DyLPOGbAjzhDpK89qslPWnjP7tn0yk9C+suO9JDB70GzLQ9aMe5u7QHJb0sjt86uJeevCPeGL1W3Sy9AQ6+vfXIAD17bME8YOdGOt5mVb2gU8s8zgHzuy5burxcyTS95cTyPLsGpj2ar6I8rIkzvcaUDrzxTP28gCINvALA3Lwi85U8uc7MPPFxDzugmTo9wZaWvToH7jw4Rr496By2OowBUT24+mU9FedKu4UWHL06NbG8rp7TvA4s17yFRMw7iJVePQfBPDxmxvw5OMdHPW0CCjzFlxM5qaLAu6h1cT2fqSK9PwkFPRzrKbxZxZk8OzIDvNykJj06ixy7pOXPvNZUCT0qnMg8ckDJPAuAArz6JIs9kn+NPc/vJzxXM 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 vZhMizx9a8E8V6SEO76Sb71ne088diYYPY/lWr0aErS8fpL8O4mHOr27xEm9/CakvTH02DuMVFa8JtGdPP+EuLzQeuY7vxbTO50TOT3XywA8L1C3vCN8bD37Wsm8YxggPP/LHr2RgLg88hKRvBUe+7tgKKG8m2chvUWpOzym7c+8BY4rvY16L723nKc9yJDSPAmxgjxpDJs8PkjRvJHWBD052k+9o8ajvaGVNr0O8iE9FhwrvduyszxYOqS8xFGKvX93sDyxE8a8OWy+vH/jNT0wmQ09tPDHuuk1CTycFyc9GpgrPVCUd72Ez8y8ejz5vI29/LwEFCM97IoqvEbOXb1Mp189XDiPu7c597yJaxm8oZb8PAj6jzyEn0S9PNiJvRrwlDweCuC81Mohua8iPL0qSCC9AhfVvLxcpTyvYUG9cw0bPaPWED2BVSK9VJebvZk697uUB848zPDAO7MIYTugMEY9cztPPPvQO7zpnVI9hrnjPK9BXr1r7wW9KHjRvPjJA70aM 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 wOm6crmkvGPUoLxEnjW8JnHluutxV73erek73SZNPBLrsrwdEnw8A1OkO/aS9DwW+qy8L3MTu5EQlj3KSr886UzkOYJti7sn3yW95I9Iu58yHr1M4Pq7XbT/PAu1s7qtCd+8AVmNu8mRy7zBUxu9gXA/vbWT7ry3jCA7Cr6mPKF4N7z+y5i6Nx+4vRyoYb3dz0K8+HXAvDQ227wdxQA8B10VPF3iM70vKpo9fmfsPLpGTLw5HTc9IAkdvZ9vEr0BhU87dbbDPNjDd71K5rI9n7LAPIcZwzyPEDE81clAu9SdLD2Oeum7FK2cPIAGqjzJq4E81C9UPbUkHL1s1Tg8Dx9wvfSesDvO4OQ8G8FLO5DaR7uAMiy9H4S0vCZ1FbwGzZe8LdxZvYRJB735nxm9TnUAvTfYI73LK7k8rqJTPaIVC7w3lZQ8/PxLvQkrOz3mvOs8QWKxvKjTXb2uOoi7nHBHPcf+aL2E2hy9FOXsu5U05TyBtBi8l22WvWgAx7emXkK9glfsM 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 v4O851KevHQ4rbxifWW6TEeEu//nmz2yj8o8FUf/vJMtSjwSx1893A6oO4HVLb1b2Qc9ba/xPXK4STl5BxE9nzGGvWr7gr1V42m9eVoxveRECbxNQ1e9+Hs3PdoQIDz3GOc7sHkCPfM21juGZk29GVEKPa7cEj4graK9Sp/OPNGYDTlaP4o90btnvSBTGDwYmVa83fLRPOHJr7ys8qE7tVtkvBptjzt6JVc9+zYBPlJ0Db1iZ1c9G+DVvFZnob3qK3O81vbOO2TT2LxsKzk9GwyWuwIUjj3ZWKa8W0SNPZSfKr00RQy9v9/mPBPr1T1z6DW98ajjPAB1nrwXTxE99eUsPKCH7Lx58u08KbukvNY7tjuUNuo7NzOgPM8buTzF4XM9IxH3PQkRxzx7xso7BjlOvNnvtL0axnw6Tp89PJlwMr0v/S+94oYxvRXLSLzhZrw8Si7wPGkl+LxkBC69N0MdvVNioT162IU84wP8vFZLIz3Q01y8NRJJvWloFr0+Xqo8wdgjM vWrFNzyA/aM6Yz4WPFzaJz1dYis9lpm5PZ6HPzuikII9chu2vB/Hsby9lJ+8WVK5vCWPED01YB487Mo+vE+9w7mq5jo9cho4vYweUTtXE/e8YJbxPIutYT3n83k8jY5DPRsVMD0jthQ5FLgkPcju6Dy115e87PNVPftgFL0fNwQ9rODqPPsvl7pBVbQ93hhrPZnPhj2YIQe9z2YDvcjaPT13cyC9zKrgvcD8Jj1suEU9uVdCPTVhYzyHq5O8iSvTO+rMBr3Ilys7oBwhPRqKPz0S3UK9QDcMPewPdb3cKTM94gNYPS2PGr1cPr28/slkvc9wuDwDxPK82fpqPL0y/TyGJ189Yc+VPQCtjTwK05A7bUpzvaDsnb0y28s8wqMAvYGpGD2sr+485x3CvEnFVr1FHho9dJSCPK+c+rumEZy8gT60PAQJjT2ucqk8IcBvvSAiSbte4Jg9i2AJO0PKR70mig08lltYvZX9EL0pvls9nwWQPdDfUb06R7w71ajFPf68O70YM 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 vCFP6DrSKxO94B8hPc5P9jyPAKM7eulovdqpjLvDFEq8XsfPPPccQjwuJKU83Gq1PKzCPr2NXci8MTWuvFnA6bxNW5886dkVvcshk73SMQk7IULHu1Hye73/iEW96LBFvX6wijv5AHq8kFcWPdAhD707YBW9efKrOy4YFDydxhA8XVFTvV9I8zycsjK8EuCcuyNcCLxNksu8pXuKucsXsLwPFTE91nqOPO63Ab0b4aC6lbaNvOFJNjzkd9o7ausFveIyJTvx/cG9IDi4vGeSzzxzlCU8kzNDvSWWqjwlG7M8IHafPWrgDDwwt7i8raCYvRk0Gb3kg049aeI4vHtPYb2yE8g8+x1UPQ1oyjs0cza9/WCivCNdGDxQ0Gc83+bPvFXfBrz1fVS9kiS3vSZp+LtFNoM9dEhjPCzLRD0IHDq9VxDXvBxrFD3e+F+8c9ydvKqTeL3RWUI9QRqjPa65kTxVad48SfRNPfGao7w/NYI9p95wOwBZ97xtq1K8HgcBPKbYSjweM 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 HE27yxwvvu5k173mvRI+GM6+PXrWAj1ziiY+F6+EO+hB4T25DCY9DNm3POerJL4kh7K9qmwPPjogrz1Nkwo9oBnFvO0DqL1kRKG9H0H1vE2GZL0FoIg9bnisvWs1pTyUFH290cL7PTOGojtsv+i9rmanPEleC7v3NJu9IJAJvd4+N75ZRYk9Taa5PRVbsjpOnnU9JgSfvCaNBz6kHJi8JTNcvQEOF778uLe9EeCFPeottD0sZ2a8Jz3LvOg+u73mv9q7v3OCvNRMOb1m5K49q7r4vVN+mr23M9i94KD0PZCTDL1WFwy+flPkvM55vzqfcCe9dpQkvSG+A76MteS8Tit3PC6Nkj2qKYk9eHFGvUut3T2/vI29QI8CvUCeF71C2/+8g6gUvZear7wuo+O8Db+xvfezuztGSce9UwrkvCx5nbx9YLs9ISe9u2ZZlb290aa9LBYePndrjr034aO9sl7qvSXKbb0jzgi9bGa5Pakcq7ye80e9TkhVvFvKhD2VU6m9vtBlM 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 vdydkjzXIGA9tO9cPWn5Vjz5udQ8z/0uvBglFj06yzW9Mpl5u4jIKb3bmf+8gilevQlspzyaTPY8FecmOj4PIr20MrM8FW6bO9gfn7v3owQ9ZidCvQLpXT17w/C8Y22VvTwOSLxwpS+8WtFKvZQZN73ROyK9skFWvXUUSry3BAM8a1VgPaURJbtOl4m8qym7PUOlCr34rSO9ifURvW3zhb3fJgy95zI3vR/Wcrrx6ku8WYWlvfBaAjuAf567yp6xvNwDTL1b1iK92qKbvFTHcD18IqY8VnwkPFRvpD0xBpS9NVbXPDx0DT1n5B29SQY1PWtXkT0KC0I8peyTPSlcvDsRZKO8KFxwvPweDz1mZcy7rkcDuqzikz1cd6E8kl1mvakfhD3u8yS96E0tvcbEJ73GlAo9PWxcPIzh/Lw4bDQ8+HDvOw5zB70GqHc9CIcdPQfg8jv2tTe9QQL5PJMBvjz7+BC8KNGEuzH7/rq3ryE9WU2TvSQKgLzGIOg7KistPTkfb72jM 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 r588RnfcvfLmBz4Gwzm+F46vvVO25bz7VHI+JrZWPs5/H74hvjm+eZmnPV256L2mw9E9CSMovjGVlL1RwIu9wOhKPvC2Jj6dlBK+HgoRvsYVMjsS0xi+0hp2PVHv0L0TpGW9Jdp0PMyCLT7lS909BV6WvX977L2+wT896ymZPZ7KmT0xSrg8meMxO8UZHj1LFpY9NPE0PnbuBz3s3te9ODuKveY9SL0wFFM99VxbPeMc/bxgLPm8DbEfPa30mrz2Byq8vo1TveMVWr0G/6i9uT5PvdFc8rzAgu69+fkUPdBgAD0S0AM9hUTRvQLabb01+Ik8xCQ2PYSV0jv+BUE9VrScPWA4U7xI3gs9xd1Nuz/aST0hG7e88FBdPcG/BDrNn6298J3KPU7ofz0o5VC83bMCvmcP5b0iSeU8aKf9PTRIwjylQ3a80Uk8veZ507qTo8S8N69GPT3Rcb3Gd368v/JwPP5ScjxaE5Q8WZlcvi7GgT0hnUu9q6rvvLbzAL5pyAo+IRMgM vYTe97zG0VY8I3xHPLUedL6y4LO9UP1ovX+ksL1dLrW9SnzwPdHQAb2j2w6+Fcn1PBG77Tx8TSm+N3mavNy/hb1+anm90B/QPBKfLT4cb608R9sRvpzVDT1WkUc97MrwvNFvEzwEtn08hq8XPUWhAz1ZO6Y8pS11vekyfz2r2AK8M9VsPWdahjzAwpg9UZ/KPdWsfz03kXA9wXiIvaw9bL2OX049fRUTPUFJs7wqW789WINJu2WhnT2WIYG7zkwDPns/Ar2ZuU+8rzUJPpFvXT3CHpC8zbwLvciLsbtKmcQ9SZ2EvaNaG7s1Vgo9fyPZveh1g715Uxs85yVZvLjBbbxB30Q9jYWZPaGAtb0D87Y9zvMTvVnhLb339Wm9kruNPTEY0b1ZVgc9/b7TvHKApz111ti9bsn4PWjLl73QIRC9xZOBPKv3QT1BHXy9gClkvfYKJL1FDdS9pichvdNqtr2Q0h8+VDZVPRhNxb3frx+91uy+PfojNL1//ru8ej0mvmx9ATyAM 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 PMgKu7siIAm9KaXGPEJMurtDG+E98ZKTPFP3gD2NgeO8ptjvvA9HEj1MKDM903hSvZcJAbxR1Cc86qOVvLBzwDuoE8E8DJujvRAN/rxtZuO8ZSB4PESCj7tBnys9ZeGQvY4ccLyTogG9LRdKvfnwLL0EYoG9iE+AveWsJ7ySss28j5UIPTIU9bydFMu7XzI1vZ1LST0bNJg789IMPS/fwryY1YO9gvRZPb3nWLwyNu48gQbRvEHsgz0Tzuc89YOcvMWw77w4fY67lOQKPR/i1Dzdpry8ipHDvfgftbxJQBQ9yJnePOVsEj0WEEc81iOau1mzjb0PFZ895/uSvAJTBrwSiY28SdQFPVm+qzzuy609W4WrPYApGDzi2U69DbNVOknmLjxxd8W75OBcPLHZmj1Gje88OfolPWv3DD1gM8m25h0Xu1OHhz0UkKe8X8W7PIj2pjxchyW8bCWwvAN5eTxkG0O9iJQ3vUBpb72/Nx49nmSlPOVORT3k0tw8RvBQPfT8L70uM 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 vIWD7ryGGGo9zgDWPey1kb2qLLA86GO4vDUkQLp/m1u9tyxhPJPiM73wDhE9Wi8wvV/F/DxXUEa941HUPFMiBDxl8xI8NdnwvB0WrzxZ2Ni6hDVVvR2aPr2fTHo6IodbPTS6hDwXyvY7O6zYPd5OmDuUSxY841mUPBORELu5TuE8gN6IPXJRxzwZG4o8CLxtPG6Vyz2yq488QUgGvNI4mzw/HKw97z0svWnpSLvYwkw8k7govTL1pbzWxzQ9gEZkO+t7oLzeHS2997sOvCi05TsNMo89hkJvPf+Y4j2gfHW8NRKWvaFpnDxTsIu93NGWPVEJDL1Q71g9YN6zvTSsXD20bBQ9i0rNPB0xe70Nen09n8cCvbGTgjwLJh09eMEDvfbkS7wxQf28qIA/vGRD9zxPSv68JSogPc3gWr1ZQqg9Wl6vPEwWeD0/Tac8FPX2vIDggTxTAi67tT62vEctnD3/aY68GY/9PUTWa70vaea8gZ/yvDMASTubi/M9LIzmPOzkZL0gM 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 4hy+ikFWuy/X2LyEwOE8P0ofPZOFAz6VVrw8lgGevfOfCjyB/rs8kI6DO/MKPrzaToS8EZxEPA3qGTu/2r89TyvcO3Qdtr1+vQW8UmIEPgrJz7294Ha7Ugj6vc6s6D0pNUc9o0xJPsRjqz19LcK9Bju/vRrzKD6TqiS+T7hYPXwv17xrNQs+MUUlvONvRD7XwY094KVdvZLsH72gRBc++na+vcjfMT0KpcE7d2MPPtiU+zu1Ig4++kIYPV88XL31sMu8yN0APj1O8r3Fzho8H/iMPBZFwD3NY548Isv2PVUVRj1WAbO9P6ukve5IYT5OH+i9mSoCPi78nD27zBA+7R+RvcqkFz4lT0o7xZvXvYuD4b3xyTs+5MW+PDFchT17t2C9vj8fPqk28LsK+B8+5g+OPRTdErybR7q9so/HPUHImb2MFW49kwX/vKKKjTtURza9FVUfPLcC+zxGrgs8TrxevS9xFj45Fri8doMTPGpSBT0UD4s9jPRnPE8xtj120tM81k4AM vB0ymLzbSK086PCiPCQsDbwROHU8/6C1Pcu5Mr0IDwU9VutwPF97ej0AVCg8kJCZPVvmsrwdwxU9c8QAvaGbQj2Eqmg9oytSPU7/iT046Vy8u0tKvdQHvD1Art+9TUKDPLYmIz2ZogE+jrcFPGnFUD1jMh+9XUpGvSVsj71zZBI94gJBPSJpy7uxLVi9bYGRPWVCL70fgow9PxDIPPtT4LzYCYa9P32VPRcJ5L2C71A9J2mQvGk2Nz0ZGE483ieNPT32uj0EiJy8oWITvojEVj5kmQ++i7h3PQSc1z1eqwc+lfAOvfK9Fz5G3FQ9Ujlkvf8jEr2C5qw9PHE+PA4pvT0qR4c8gV7aPZooqzzTn7g9BfFvPMmwHj2fbzO99SG/PZq3a71/tRg9sq8svTAaJz1k5K+8+vybPcufzj0+zlW9pZkBvtnEBj46POi95toGPjJ3rz1sZcc92L8/vehSAT7E+qk9wGaCvEzX2b1noQE+jIWUPNH51DwX6bc9h9gIPi57x70yM 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 PGl7iTxNHx09kICHPTiPIT0jtAM8Z5IavXMDJr1HNOo8vz2zOUhw2by/yB+92Y6JPSt4Mb55aW89jwTRvSStcrlaExc9Lz4LPkOjib1tUt69RnLJvdirZj1P5BG+xB+YPT/YHr0eHTs9OVNgvTNZLT77VZ68Z06bvNoO9ryyYf48dk0yPb8WVz1TSvw8y0pNvBRmhLw1dt09TLJ5u5G5F70HErK8QC0MPauP9b2bx6U9mITtvTu8pD1z3nk9s7/FPQYo4zutUM+9mq8ivd/cGj6mGQK+DdaWPRVH1DsRM8s9NRMcvdfbvj3nTN68/x+HvaTBl7tHVLg9VJCvPbuYaDybKnC9GX6mPXrRQr2qacM9qBrzvH+DLr22shK9vZNOPdTEqb2GIQG84cLOvZZimj2AJR89ZC2fPU5MoD2jxCS9UewovSrXnD1FUAW+bPtPPe8OEjwgQIM9yyz2POzzmj1EF709Wd6DvZCk27ufUOE9TDsIPfQQjjzhJCo8FGmIPefK7ry4M 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 OiPIzDxLJgK9tESmvIAzaz3rmjU9WV4TvFtUvrwenGM7IWjvPHS2gT3bgeS68wuYvfrc/zxKei278ne3uy0bNr1QTl28F+vIPISGV7xkrZo9KlRvPa43Pr1oHoo7z9yxPI9uOD1U1W09psbGvBdLvD2pYgy97g3FPbhAlL3UA+K8R3oUvm1cDj2zmNw9Q98hPVCOSLwt7Z49rf7DvemNrj29F466H8O7PF+1mb2iDs88kle3PTGo4zxiJBe9YdzaPdREqzx+5Zk9X1xDPXhIwzqcI2S9FalQPVR1qjxbvW87CA8+PX73qD2qIC+9QF08PFsPPz0nH9a8aT1ovRQ1sbsF/T+7EZzxPJXltzzma4k9hRttvLkM3jwFH7o87DkYOzH4lL1sXIG8Z1QQPRvWAbzHofU8g4GWPcXylL38cVo9RupfPNP0mDzzvgq9SrRePWK2Kr2eISG976vtPW5mP7zZHQU9ioNiO2T3Lj0yZt08feJdPfLx6TwkHU873bucvNdEVj3TM 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 pFm9B7GaPDxEWz0Te7A5Cfc1vVOnjLw2DRw8NUsGPUC5er3QplC9oJsDPYV0C72wWxI3QC8xvckFnr0xcE29rOqQPfpckT3F3Ga8c2mVvbPzKD2+DAI8gjgpPJZlYDxE3dO8bpndPdbQDzzw+PE8OyKCvYFKaLzz7r48OPumPZwZ9jx+p7G6NSL+O078wL2fT3e9EG8UvEYnQrv4kve8Mg9BPSejljxlLGY90NQwPcTIQb1/hgS9IeQqPdAegTxUWTi9lXeUvWGiCT07O5W9D7hQvQvjDD2QBiS9rcnwPUyFKr2t4dC7NQvhvDo3kL3UVQG9ORn8PAFzZj2A3Gg9PZu5PPrL5L2NQmG9snFzvWKEXDxpm8A7P7vVPN4Cw7uKk/k8IqsJPRzMCryWUb29rmG+PPRdvbyTHp+9X3y8PN82rTxCahQ8MDWfvI664zxPkLm9/QWqPUZEYr1joZ67DPmMvC+2jDwOC8C8xkXjvDMekL0lFSc9Qi8vPBD8DL6DrAe+/mbjM 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 C5C9BYwrvZ3NrL1ZoRS9ICLJO1TrWb1wit08PK2TvQn8eb3ACws9d1XZOs3JJLz96pE8TflGPOOD7TycI0u7T0dbPSI3hry073Y6ZMEtvbZZwrtXuUK9sbQDPJivRr2OwdK8Mf4rvHCYIj2MneE9A4aKvdZs7DwON1i9midZvEsJU73TyGm9QWQ4uyqXUTxj8Fa7TtrYvHVcDj1AzsG6wgZEPdFwAb0fF7S7O5BvvfsDhTydbRm9RoAkPHR3oDv5BAG966lBvYyyt7tKATC9GhROvdCnVryArTW8+l6yvP7CWDueHGg9EvotvK0UQDxRWPo8+0kUPApjO7z/zaO8MjFdPSDkcL3/xXU7WVMkvfexCr2jik09DOlqPOAaFrxSttG8rDpiOekfJD3yRXi9jI3oPK8aLD2TDh68+dVpvbv7MjwEqUG9hm0oPZjudb1PNAY7aizcOyhyr7yu4R88HgeRvCTySz1TWgS8UfMSvEm4ojw/rlW8uzYevdUrkL2AXJ08r6gjM 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 JqA8qmpfvXonzLvwUjU8hKxnPS2RjT3yg1s9VuR2vU/G/TzX/Qe58JIfPQxu4bxCjz89hJjsO6gipDz57Eq922/DPKexgzyT+rY80+QvPVBbNryMj1m8n5mtvAEHNz1YGis9Kib0PKkqh7x6ggY9BAWOPfx9eT3cq0i9KflIvcU9lr2HC4Y9d+bIPHIa8Lxk3hu837JYvYKtszy1egu9md+xPUN/7TmCX3M6rtOhPTshaj0cb3k8JUCyO1YEArzFqTA7T5J4PXlYIb1bVSk9mrkVO06pyT2kXbU7Ds+NPJzdWTsL1Jk8nPAHu1UBdT393Ym9IfbvvLmSHD1TZY49xnVVPSki7Tyset484/QFubx41ro9mss9XjxsO94y7TtV5jq8h6pmPRkEuj31JYQ9WKmpPR1nbT0ATmu7D+aIuwU2Ub1jKi497QXrO5sGNT0mKBI8IrGwPXzVSzyGoDA97UiWPXVhkD2tSA88LcKKvf6+m7zOA2M9Xf/Jupeugj24e5I6qWy4M vRgDmj3T3DM9VoHvu0ncd72xaz49ZjC+PRW6gDwLXSk9TyDnPCcTcT0qCQc9tmIOPVZmIL2+iGE7hYo9PUvTCj1jJho79CWOPboyLT0yJzs9IjdDPQhB9Tsgiwq9p/crvTH9VT3fkGU9UbI2PRqGM7zV9Mm7uSslvTbA0jycAb08fsmBvDlSrLz4dT09MMqdPTlcGz3uyMe8/kg9PYVkpj2HjgY9SFG+O05/Qz29YTW9tbKZPQ/3u7xW32S9SMmZvHb+JD2MXjW7pT2EPSrDRL1CoPa8tpawvdCCYjuJ9as9xA/lu8WdozySvl89KMUTvcyxSD0w1AM9JeruvOiasr2Yq4Q95hRfPIR1/jwSLN+8MS/ZPDIH2DwI79A9vFllvXT4uT1YxB+9fsDmPE0gU707RNo8rUDOvTLOWz3cCDK8cG+yPWjQQr1/0i09HmHpvVN6IryqYxc8g4cqvaaGjzw7ji096tExPdQ2uz37d6i9nxs/PQlhUL3NM2s92jj/vLyHijxBM 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 vfOqnjvp1iS9x/XTPEKfET114gk969izvCFCoT1gSlW952AKvGvnSz1waWo9eSrMvaaSgjyGWDo8kvGuvA4orb3AGaS80SFyvc6DIz32Gdg8npAIvJt4L7zBfAE98RbhvOV6Wrx5fhK9toXYPNWIiL2us6e8fGynPIfuN7ykx2q9XGcCvbfCZ71I3kW8P+kIvE2O2jwhRv+8wAtdPDiV7TtHGK87ZwomvUzyWj1+VMa8TZQivM+aaL2W2k0987ZdvIixM7xI7Zg9wAF7PcQz/DpFmzC8qc2mPPpuRr38ddu8ciFVvJC0wbxU14Q9ssSdPKgxarw5naa9ayz3PEyeEL0cuTI97bGCvao++rvhZ4K8BzN8PdHSuD176Tq9ewVivd1iWD29q/A8sa7xPOoPCb0Kpmu8pEogO1DXQjzk78g9ifp0PC2Ah71yDZO8Q7gxPdfwXTznjWS9UnY1PMf9IT3zROW8KjaJPBD0R70/jS28AcxivZlQM7012p892NAXPDuLrLymM 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 PId8PTwP74q82Y9zuwYnAzzorbK8ysP8PMANxT3jiDe9I6w1vNwNLj1BRBc9uxahvcGqUj3qOv+7W8hsu4dVeL15cRs76QePO4xKMDxdq7s8kJqWO4W1ZDxfYkc920SFO718G72kDEO8d37JPC+l/bySi2I85zUpvfSdgD0AQ208v50+PcL+ybwBpGE81JlRvWBRpD1q5QW9T8ggPR3hXjxe2si86vutvX0x2zzJRaO8TlaOvFjZJL0ZsUI9Cq2svRCFwTxtKQI9CoTMvAH8WTy62AA91+kFu2vKLbwC8JC9BUgZPYsdDr23Mog9gP38vNMsZj0F4H88d3vUvIIpmTxzLog9r8TPvLA/Zzwut0W8f8RIPDX6UD3GOhm9j+DZvImdZjzuVl29f/FYPfngbLyZn8A7KopVvYm9Sz3qgKE7ChSXOw9xJzxI6Es80IjMPDGaPb1g30i90Gp8PCHcj7vE85m7enIeO2o1lD3ppVY86l03PRQBK7tBH0e87ThJvQ3Yv7qVM ua29B1w4PWWtvT1Ql268pX0cu8c3kT0bJ548docIPVTaHb3TFWg9UlkivfNcpjsIPWQ8+yUoPOrncjxXi6k8cDsvPQM7trtfHiy9z49tPEtePr0UNyO9InkKvXI6oT1J3q88bz03PUqFHbtPvIE88mAoux3+nj3X3ZC94l+Duhr2ND1g1Oo8pm65vbmxMz0iCY88jp5MPTFLor3YVbs8WvPgvQAmurs0+p09PnUNOwGffbzjcyk8I6ORPHcGg71YnZC9mpQSvQ92mr3OCqY5chzDvO2mgT3vm+i807Z9vOA7pbzXU5e8T4AIuS8FeT1TEn+9FZF/PMAhYT1SqxG9xraxvRDsWjwaghm9tke+PGDNsL1X0R09K70WvMbVGLraDLw9lbN8PQGa+zzT3ik80V8GOyb8y70TL6a7hxDzvKo5uzwRZxY87mgrvaBqF7wI5r692YSQvIe8VL0Ijng9EgCvvZmZM7ooIAq9PGyPvCeYzD2hO0q9ng6ovV64hT37a248XMGXM 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 vo9T+r55KGe+0VsCv8IBAb//yOc+EHjHvhVz/75KpNC9pn+2vjxig774fJi+D6EcPu7FTD4aGbU+p4bZO8dkXb6DAJG921nqvQmGCD5wSgg+PzvjvZGn5zuZiZs+PQnePg6qL7+i7Um/1zfHPkDk/T7n5Nk8ZN6Iv39FTz/5kjy/61WIvSh0Iz+2aw+/SKNOvuuVbD+M7R2+4FfoPWf2Qb9Wi4U/M5EMvjCfRT8i2QG/oZdTvhbViz8E9x0/A39JP5FzSr94wYe/J6aJP1s62b57W3M/Vdxxv/m4a7+/8E0+wtRMP72ow74UHAi/62BXP8zjA7+RcRY/4XqEPBZOOTxffa05ajF2vA==", "training_traits": {"structure_gen": "Symmetric", "n_layers": 3, "max_nodes": 19, "activation_func": "Tanh", "epoch_num": 4}, "classes_name": ["Cryptoadz", "CrypM topunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1M e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,M 0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeurM onsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.sizM e/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,M this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.gM lobalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1M ])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;M (min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,M 0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(M 33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449M .7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,M 433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8M ,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.M 1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(M 469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.M 2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,M 111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,3M 76.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,M 473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVeM rtex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.beziM erVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.beM zierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.M 299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.M 7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243M .2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,M 301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,25M 6.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezM ierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVerteM x(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.M 3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezM ierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,40M 0.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,M 242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(M 172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.M vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.M 599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,M 305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,M 246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,M 377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.59M 9,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7M ),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVerM tex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVM ertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){lM et r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constrM uctor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}staticM linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binaryM _op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{construM ctor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalM Neurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.M min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.liM near}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new WM (e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:thiM s.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{wiM dth:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)thiM s.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0==M =t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloatM (this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");reM turn n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),M r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!=M =arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],thiM s.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsTM ext(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="6";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,M Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphicM s(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await PrM omise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["M #111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77cM 4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cM n==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,M loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(M ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!=M =key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(wM idth/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),M Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDM im,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_M r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;tM <Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++M )if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let eM =0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){conM st[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.staM ge,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;eM <inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}foM r(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slM ice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(M CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,M ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStylM e(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+M 1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,tM ,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.M noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think thiM s image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(exaM mple);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTEM LLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the M decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.tM extWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(M a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)aM =a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PEM RCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF M REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.M text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",wiM dth/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2M +5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){letM n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}fM unction xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,M t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can M detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teM en. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`M ${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,M t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST"M ,70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let M e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"HardwareM Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b465b278ceaa1e6","version":"2023.3.0","b":1,"token":"6c07c178c94442fLP695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxx mr~knu_dpV_lUYdHT`(.>(.:$+:!$, bmyS\iOXdSWdRT]@JW:>L3=L(3E,5D {ntzZfu[buYbrEN`CH\PSZ2<F8;D(/D*3@ ^iwikqJP_AK\INWORR9AQBDK/7I68@05?698 Wwl9`e?eb 2OGQG&MDU]AH]A xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxxxxxxxK {ZeLSXGRPPPJ7MUYLbQLDDD xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxx[ kq}lpz[fvYbrFnlIS`RT\(.? xxxxxxxxxxxxxxxxxxxxxxxxxxxx hhhMMMIIIEEE]f))))N>&###G7 xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx j xxxxxxxxxxxxxxxxxxxxxxx x`nv]cmcyiSsg[yfWff8PeAOA zg|vR|vW|qFioT`mAhaFV^"9Q4OA9Q91 bmyYbs`doY`mV^lUYfEO`ST[@JW=AP:AO<AL lr~kothksU`kHScUYbJS^OT\CH\CK[NQT2>L.6H2<F)/? Ql~cp{T|s]cmcyi[yfH_f8PeMeTAOA6P= xxxxxxxxxxxxxxxxxxx; lozZatHR_BI[=DR-5@'.:$*:$(4!$, nr}^ivkothkt_epX`n@JXNRU=AP:AO3=L8>J*0? lt{cnzYdsR[jOXdVZcEN`QT^RS[08H-4F8;D'->"(6 lpzcmytttkntaaaLLLEEE(.?'.:$*:788$(4333 {{{xxxkkmOXdUYbST[MRZ@JX3=L*3@:::g pv{]iwXaq.6H2<F8;D-6A47?"(6!#* xxxxxxxxxxxxxxxxxxxxxxx bk>ihvRg=aSGcR\gQhNP HT\BTQ\QPhPaOPJ7M5OJ+OJ!-IRQ= xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx x`nvT|s]cmUakH_f8PeWxdUi_FZZMeT>^RAOA6P= xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxM xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx ZCfV?t}>bR;_O8QA)iYAmu7 tq^eqU^lRT\=ER<ALox:E5 }bmyYarUYfeeeU[aFO`@JXNRU3=L#*;687"#)9( xxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxx text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! Bj@=:ETH.ETH:0xe76B4fB2884b9873c087e2b820094C1a40E3469a:30538632::0 text/plain;charset=utf-8 B{"p":"brc-20","op":"deploy","tick":"888 ","max":"88888","lim":"8"}h! text/plain;charset=utf-8 A{"p":"brc-20","op":"deploy","tick":" 0 ","max":"10000","lim":"1"}h! 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> text/plain;charset=utf-8 {"type":"btcdomain","name":"formula1.btc","first_owner":"bc1p5qyjqud5lmzd00n9gwx7s4fav7lvuqlu60mezwhtyt4ats4xpqwsx93lvw","createDate":1680930167025,"registerDate":1680930167025,"expireDate":1712466167025,"img_url":"https://btcdomains.io/images/domain/formula1.jpeg","sig":"3045022100cdfaa9b1b6292a2c1339c0e31c7d833867513b00918956e783e9aef7b7d58ec602201589859fcfd857bb93205357afa0e3c0577ca7dbbaf0e916880589c1196c2eed"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/html;charset=utf-8 <meta charset="UTF-8"> <title>Zombie Pixels</title> height: 100%; background: black; display: flex; align-items: center; justify-content: center; border: 4px solid red; margin: 10px; position: relative; right: 10px; width: 300px; padding: 10px; background-color: rgba(0, 0, 0, 0.8); border-radius: 5px; text-align: center; color: white; #pause-button { display: 'block'; visibility: 'visible'; margin: 0px; width: 200px; justify-content: center; #restart-button { display: 'block'; margin: 0px; width: 200px; justify-content: center; <div id="controls"> 1>ZOMBIE PIXELS</h1> <h2>@BTC_RetroArcade</h2> <h3>How To Play:</h3> <p>Use the arrow keys to move the player.<br> Avoid the red zombie pixels!<br> Don't touch the edge! <button id="pause-button">Pause</button> <button id="restart-button">Restart Game</button> <canvas id="game-canvas" width="600" height="600"></canvas> // Created by Shane Masters 2023 for @BTC_RetroArcade the initial number of opposing team members let initialNumOpponents = 4; let maxOpponents = 40; // Create an array to hold the opposing team member objects const opponents = []; // Get the canvas and context const gamecanvas = document.getElementById("game-canvas"); const canvasctx = gamecanvas.getContext("2d"); let playerX = gamecanvas.width / 2; let playerY = gamecanvas.height / 2; // Set the player's radius const playerRadM const playerSize = playerRadius*2; // Set the size of the opposing team squares const opponentSize = 20; const pauseButton = document.getElementById("pause-button"); pauseButton.addEventListener("click", pauseGame); // Get the restart button element and add an event listener to it const restartButton = document.getElementById("restart-button"); restartButton.addEventListener("click", restartGame); let isPaused = false; nction initializePlayers() for (let index = 0; index < initialNumOpponents; index++) { addOpponent(); drawPlayer(playerX, playerY); // Set the player's speed const playerSpeed = 0.5; // Move the player with arrow keys function movePlayer(deltaTime) if(isPaused) return; // Calculate the distance to move based on player speed and deM const distance = playerSpeed * deltaTime; // Check for arrow key presses and move player accordingly if (keys.ArrowUp && playerY > 0) { playerY -= distance; if (keys.ArrowDown && playerY < gamecanvas.height) { playerY += distance; if (keys.ArrowLeft && playerX > 0) { playerX -= distance; if (keys.ArrowRight && playerX < gamecanvas.width) { playerX += distance; // Ensure player stays inside the canvas playerX = Math.max(0, Math.min(playerX, gamecanvas.width)); playerY = Math.max(0, Math.min(playerY, gamecanvas.height)); // Check if player is outside canvas and end game if true if (playerX === 0 || playerX === gamecanvas.width || playerY === 0 || playerY === gamecanvas.height) endGame(); // Set up keyboardM const keys = {}; document.addEventListener("keydown", e => { keys[e.code] = true; document.addEventListener("keyup", e => { keys[e.code] = false; // add an event listener to the game over condition document.addEventListener('gameOver', () => { // change the display property of the restart button to show it again restartButton.style.visibility = 'visible'; pauseButton.style.visibility = 'hidden';M // Define a custom game over event const gameOverEvent = new Event('gameOver'); function drawPlayer(positionX, positionY) // Get the canvas element and its context const canvas = document.getElementById("game-canvas"); const ctx = canvas.getContext("2d"); // Set the player's color to cyan ctx.fillStyle = "cyan"; // Draw the player circle ctx.beginPath(); ctx.arc(positioM nX, positionY, playerRadius, 0, 2 * Math.PI); ctx.fill(); function drawOpponents() const canvas = document.getElementById("game-canvas"); const ctx = canvas.getContext("2d"); // Draw the opposing team members as squares opponents.forEach(opponent => // Set the color of the opposing team members to red ctx.fillStyle = "brown"; ctx.fillRect(opponent.x, opponent.y, opM ponentSize, opponentSize); function addOpponent() // Generate initial positions for the opposing team members const opponentX = Math.floor(Math.random() * (gamecanvas.width - opponentSize)); const opponentY = Math.floor(Math.random() * (gamecanvas.height - opponentSize)); if(opponents.length > maxOpponents) return; if(gameStarted == false) if(gameOver) return; if(isPaused) return; if(checkSpawningCollisions(opponentX, opponentY) == false) return; opponents.push({ x: opponentX, y: opponentY }); let lastUpdateTime = performance.now(); // get the current time in milliseconds let deltaTime = 0; function updateDeltM const currentTime = performance.now(); // get the current time in milliseconds deltaTime = currentTime - lastUpdateTime; // calculate the time difference lastUpdateTime = currentTime; // update the last update time // Set the time interval to add a new opponent const intervalTime = 5000; // 5 seconds // Start the interval timer to add opponents const opponentInterval = setInterval(addOpponent, intervalTime); function checkSpawningCollisions(newOpponentX, newOpponentY) const thresholdDistance = 20; // Check if the new opponent is too close to the player const dx = playerX - (newOpponentX + opponentSize / 2); const dy = playerY - (newOpponentY + opponentSize / 2); const distanceFromPlayer = Math.sqrt(dx * dx + dy * dy); if (distanceFromPlayer < playerSize / 2 + opponentSize / 2 + thresholdDistance) return falM return true; function checkCollisions() // Check if any opponent has collided with the player for (const opponent of opponents) const dx = playerX - (opponent.x + opponentSize / 2); const dy = playerY - (opponent.y + opponentSize / 2); const distance = Math.sqrt(dx * dx + dy * dy); if (distance < playerSize / 2 + opponentSize / 2) // The player has collided with an opponent, end the game endGame(); return; function displayGameOverMessage() // Get the canvas element and its context const canvas = document.getElementById("game-canvas"); const ctx = canvas.getContext("2d"); // Display the "Game Over" message ctx.font = "72px Arial"; ctx.fillStyle = "white"; ctx.textAlign = "center"; ctx.fillText("Game Over", gamecanvas.width / 2, gamecanvas.height / 2); if(gameScore > highScore) localStorage.setItem('zombiePixelsHighScore', gameScore); function endGame() // Set the game over flag to true gameOver = true; document.dispatchEvent(gameOverEvent); // Set the wait time and jitter range for the opposiM const waitTimeMin = 1000; // 1 second const waitTimeMax = 5000; // 3 seconds const jitterRange = 2; // 5 pixels // Set the speed of the opposing team members in pixels per second const opponentSpeed = 200; // Set the countdown time for the start of the game const countdownTime = 3000; // 3 seconds // Set a flag to indicate if the game has started let gameStarted = false; // Create a variable to store the time elapsedM since the start of the game let elapsedTime = 0; let lastplayerTime = 0; gameOver = false; // Create a game loop that updates the positions of the opposing team members function gameLoop() // Get the canvas element and its context const canvas = document.getElementById("game-canvas"); const ctx = canvas.getContext("2d"); // Clear the canvas ctx.clearRect(0, 0, canvas.width, canvas.height); // Check if the game has started if (!gameStarted) updateDeltaTime(); // If not, update the elapsed time elapsedTime += deltaTime; //Added here instead of below to remove the timer gameStarted = true; restartButton.style.visibility = 'hidden'; initializePlayers(); // Check if the countdown has finished if (elapsedTime >= counM // If so, set the flag to indicate that the game has started gameStarted = true; initializePlayers(); else // If not, draw the countdown on the canvas const countdown = Math.ceil((countdownTime - elapsedTime) / 1000); ctx.font = "72px Arial"; ctx.fillStyle = "white"; ctx.textM ctx.fillText(countdown, canvas.width / 2, canvas.height / 2); // Request the next frame of the game loop requestAnimationFrame(gameLoop); return; if(gameStarted) updateDeltaTime(); drawOpponents(); checkCollisions(); if(gameOver == false) if(!isPM moveOpponents(); movePlayer(deltaTime); // Update the game score and draw it in the top left of the canvas gameScore += deltaTime / 1000; displayGameOverMessage(); drawPlayer(playerX, playerY); ctx.font = "24px Arial"; ctx.fillStyle = "white"; ctx.baseline = 'top'; ctx.textAlign = 'left'; ctx.fillText(`Score: ${Math.floor(gameScore)}`, 10, 40); displayHighScore(); // Request the next frame of the game loop requestAnimationFrame(gameLoop); function moveOpponents() // Update the positions of the opposing team members opponents.forEach(opponent => // Check if the opponent is waiting if (!opponent.waitTime) // If not, set a new wait time and jitter value opponent.waitTime = Math.floor(Math.random() * (waitTimeMax - waitTimeMin)) + waitTimeMin; opponent.jitter = { x: Math.floor(Math.random() * (jitterRange * 2)) - jitterRange, y: Math.floor(Math.random() * (jitterRange * 2)) - jitterRange }; opponent.jitterTime = 0; else // If so, update the jitter valuM opponent.jitterTime += deltaTime; if (opponent.jitterTime >= 1000 / 60) { opponent.jitter.x = Math.floor(Math.random() * (jitterRange * 2)) - jitterRange; opponent.jitter.y = Math.floor(Math.random() * (jitterRange * 2)) - jitterRange; opponent.jitterTime = 0; } // Subtract the time elapsed since the last frame from the wait time opponent.waitTime -= deltaTime; if (opponent.waitTime <= 0) { // If the wait time has elapsed, reset it and calculate a new direction towards the player opponent.waitTime = 0; const dx = playerX - (opponent.x + opponentSize / 2); const dy = playerY - (opponent.y + opponentSize / 2); const distance = Math.sqrt(dx * dx + dy * dy); M opponent.dx = dx / distance * opponentSpeed; opponent.dy = dy / distance * opponentSpeed; } // Update the position of the opponent based on its direction and jitter value opponent.x += (opponent.dx || 0) * deltaTime / 1000 + opponent.jitter.x; opponent.y += (opponent.dy || 0) * deltaTime / 1000 + opponent.jitter.y; // Draw the opponent at its updated position //ctx.fillM Rect(opponent.x, opponent.y, opponentSize, opponentSize); function pauseGame() isPaused = !isPaused; const pauseButtonText = isPaused ? "Resume" : "Pause"; pauseButton.innerText = pauseButtonText; // Function to restart the game function restartGame() //Redisplay highscore highScore = localStorage.getItem('zombiePixelsHighScore') || 0; // Reset any necessary gaM pauseButton.style.visibility = 'visible'; restartButton.style.visibility = 'hidden'; playerX = gamecanvas.width / 2; playerY = gamecanvas.height / 2; gameScore = 0; opponents.length = 0; gameOver = false; initializePlayers(); function displayHighScore() // Get the canvas element and its context const canvas = document.getElementById("game-canvas"); const ctx = canvas.getContext("2d"); ctx.font = "24px Arial"; ctx.fillStyle = "cyan"; ctx.baseline = 'bottom'; ctx.textAlign = 'left'; ctx.fillText(`High Score: ${Math.floor(highScore)}`, 10, 20); // Start the game loop let lastFrameTime = Date.now(); let gameScore = 0; let highScore = localStorage.getItem('zombiePixelsHighScore') || 0; text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! D<"G@&JB$MF)i]6ta*th8xk;}qC `V3dY2j]2l\(mb:sa*ukDvb RJ*YK!\S1_Q$cY1jZ)ma5nZM $oc8pe;sb+ukEvh2xlC{i-|pC i^5k[*la:p^,pd9q^&uc-ujBymCzi3~k+ \R1aV2cS#dX1fX%pd9ub-vb XN,aU,cX2eZ-lZ%q^&zi3 bV,i^4kZ#p^-ub-ukCynD hW$i^5k[*k`:ma5p^-qe:ub-ujBxk:{j2 aV2cY2hW$j^4k[*la7ub,ue4wkBxk; LD*QF#^Q aV2cY2fX&k\*q^+~k+ dY2eX.i^4k\*ma5ti=zj3 cY2eX.i]3ka:l\%ma5pd:sc$ti=zj3 e]9fY.j^3k\+ka9l[$q^+sd4uc,uj<zm; dY2e\9j^4m\*tjCuc,ze j^4m`-sb!se3tb,uj<yf+ymBzj2 XN*`W3aT+cT#cY2jZ$j^4l\+ma6sb"te4vd,xl<{k1 XN+[R2aT*cT#cY3fX&i]2k[#k\+mb7p^*rf:se3tc+uj>xf,zi-zm> ZL!\P%\R2`T+bT"eZ3i]3k[#l\*qf9sb,se3uj>xe,zj2 \N#\R,aU+aV2dU#eZ2hW i]3kZ"k\+la4nc;p_&re7sb,vh4vj<xf-zm<|k1 [M"\R,]S2aU,dU#eY,eZ3iW SI$UL*\R+]T1aU,dU#eZ2fX%i]3ma4p_&sc,ui; aU,dU$dY+i]4jZ"k]+ma4sc,ui<|k2 XN)ZM#]P#aV1cU#dY*dZ2i]3jZ#k\+l`4mb9rd4rf9sa$tc,ui9ukCvh3xf,|k2|oB Q+^Q#aU,dU#eZ1fX&i]3kZ#ma9re5sa$sc,vh4xf+{i+{m<|k1|pC aV-bT$eZ1fX&i]2jZ#j\+mb9q_ re5sb,uh9vh3wlC{k2{n<}qF k],la6o`%sa$se6tc,wi3wlCzg#{i+{m< i]2k[#k\+mb3p^ qe:rb+vh5xf+xk9xmB|j,}p= ]P"aU,eY,eZ2fX$od:|j, KB"PF"VL*YM"]P"aU+fX$i]3k\*l[#n`+od:xf*znA{k2 l["p]#re4sb#sb+vh4wlCyk9|i,|k2}qD ]P#bU,cT"dZ2eY+i]2l[ l]*m\#ma3re3sb*vh5xf*xmC|i+|l2 fX fY+l\#mb3p]#qf:}j#}jM k]+l[#ma3od9rb+rd2sb%M ZN#\Q*^Q%aU+eX,gY&ma3p^!rb+rd2ud$vh8xmCyf*}m3~p< aU,cX1dU"fX%k[#k]+m[ ma4od9rb*rc2ud$vh6xk:zf+znC|l3 od9p^!rb+rd2th;ud$xmCyf,{n;}j cY3eY,i]2k]+ob3od9th<zf,{n<{oC}j* k[$l`3n`+p^$p_(rd4rf9scM cT!k[$k\+l`4mb;p^$re4rf:ui;{l3|i!|n; dY0j^2k[$n`*yf*|i"|j+|l3 l`4n`+qf9re3tc+ui;ukB{i+{m:}m2}qB~p; \R*^Q#bT!bV+cY2fX%hW"k[$lZ l`3p^#re3td+uh3ui<{m:|j+}l2 [T:\Q*fX%j^2k[$k]+lZ mb:n`*re3rg:tc+ynD{m:|j+}qB m`3re3rf:sa#sc+uh6ui;ukB{h#{m:}qB~k+~m2~p< aU+c[<dU"dX,h\2iZ#lZ rb+re3s`$ui;ujBzg){g#}l2}p<}qB~k+ dX,eZ2fX%jZ#k]*k_2lZ mb<rb+re3sg:{i+{m:}l2 mc<s`$sc+se3ujB{m:|j+~m2~tL c[=dU"dX+jZ#k\*k_2lZ lb;o`+rc+s`#se3ujCzm:{g#|j+}m2~p< d\<jZ#k]+mb<rb+sg:|j+~m2~p; c[=dU#dX,fX%k]*k_2lZ cU#c[>dX-fX$g\2k[#k]*lZ b*rd2sa#ui:ujBvh4yf*{m;}m2}qB~p; ma3pd;qd3rb*uh:vh3vkCxf)}j+}qA YM$\R*aU*c[=dY-k[#pd;uh:zg#}p<~l, [S2]P#cU#cZ6dY-fX$j^3k]*l[#ma3od;r_ rd3sa#uh:ujCxf)zk3}qB~l,~p; \R*dZ6fX$j^2qb*rd3sa#uh:vh3xf)}m2}qA [S3]Q#e\=fX$h\2k[#lZ ma3od;rb*rd2wk;xf)zk3~l,~qB dU#f\<h\2k[#k]*ma2od;rb*rd3sa#vh2vkExf)xk:|j+|l3}qB cT#d\>eY-fX%g\3j\+k[$ma2pd:r`#rb+re2th:vlEyg)zf#zm:{l3|j,}p< SK+TJ$XN)ZN$\Q+\T2aU+cR cU#d[>fX$g\3i[+k[$ma2rb+re3s`#zg${l3{m:|j,~p< KC"PF!SK+XN)\T3]P#d[=fX$g\3i\+ma2od:re2vkEzg#|j, ZN$d[=n`+od:s`#tc+th:zf#{l3{m:}k,~p< PF!SJ+TJ$XN)]P#d[<fX$g\3k[$ma2od:r^ KC"SK*fX$g\3k[$ma2od:re3{l3~p< dT"dZ3eX,fX%k\#k]+l_2lb<r^ rf:sa$sc*se3ujCzg#{i*|l3}pC j^2k[#k\+ma2od;rb*rd2s`#th:ujByf){k3{m;~k+ dU"dY,d[;h]2j[$j\+kZ ma2pd:rb*yg)zf#{k3~k+ rf:s`#sc*se2zf#|j*|l3}pC rb*rd2s`#th:yg)zg#{k3~k+ h]2j\+m`2pd:rc*sd2ukCvh5xk;yf*zg#|l3}p@ ma2od:sa#sc*se2ukBvi5xk;zg#}l3}p@ rb+rd2s`#ui:ukEvh4xf*zg#zm:|j,|l3}qC cU#eY,i^3jZ#j\*m`2od;qd3uh:ujCvh4xf*zg#zm;|l3~k, KC"KD+PF!SK+TI$XN*\R+bU+cR ma2pd;rd2vh4xf*yl:|l3 SK+TI#XN*dZ6eY+i^3j\+ma2xf* m`2pe;uh:ukCvh5xf*{g#|l3}qC \Q*]P#^T2aU*cU"dZ5eY-hV qd3sa$sc+ui<vkDyf+zk3{m:|rK~k+ text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! FjDOUT:F376EECD2FC71AA58EB2836BDF58F9FD45CFE25FF69DA9112988C0B63302EDF4 {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "blue fire"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "lamp"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "pauldrons"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "blue fire"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "silver"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "frozen staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "mage robes"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "pauldrons"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "mage robes"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "parrot"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "midas touch"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "pauldrons"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "laser"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "orc"}, {"trait_type": "Mane", "value": "fire"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "bloody"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "tribal tattoo"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "bloody"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "zombie"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "lamp"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "fire sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "poisoned dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "blue fire"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "parrot"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "pauldrons"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "quiver"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "eagle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "blue fire"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "rainbow"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "dragon wings"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "blue fire"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "rainbow"}, {"trait_type": "Claws", "value": "midas touch"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "fire"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "eagle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "tribal tattoo"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "rainbow"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "rainbow"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "bag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "midas touch"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "pirate flaM {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "fire"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "mage robes"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "blue fire"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "fire"}, {"trait_type": "Claws", "value": "blue fire"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "eagle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "parrot"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "tribal tattoo"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "fire"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "parrot"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "rainbow"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "tribal tattoo"}, {"trait_type": "Mane", "value": "blue fire"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "poisoned dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "rainbow"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "poisoned dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "rainbow"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "mage robes"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "tribal tattoo"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "bloody"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "bag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "blue fire"}, {"trait_type": "Claws", "value": "bloody"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "parrot"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "whale"}, {"trait_type": "Claws", "value": "bloody"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "lamp"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "blue fire"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "bag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "tribal tattoo"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "whale"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "bag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "frozen staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "zombie"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "eagle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "midas touch"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "pauldrons"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "parrot"}]} text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "bloody"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "zombie"}, {"trait_type": "Mane", "value": "rainbow"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "blue fire"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "rainbow"}, {"trait_type": "Claws", "value": "bloody"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "laser beams"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "dragon"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "crown"}, {"trait_type": "Artifacts", "value": "bag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "whale"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "rainbow"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "dragon"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "quiver"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "parrot"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "diamond hands"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "eagle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "whale"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "rainbow"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "crown"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "lamp"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "ghostly companion"M {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "eagle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "bloody"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "dragon"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "laser"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "diamond hands"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "frozen staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "lamp"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "blue fire"}, {"trait_type": "Claws", "value": "bloody"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "crown"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "golden"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "parrot"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "pauldrons"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "broadsword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "fire"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "laser"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "blue fire"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "tribal tattoo"}, {"trait_type": "Mane", "value": "whale"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "orc"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "fire"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "ghostly companion"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "dragon"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "broadsword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "robot"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "lamp"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "rainbow"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "lamp"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "lamp"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "golden"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "poisoned dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "rainbow"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "pauldrons"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "frozen staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "broadsword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "pepe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "midas touch"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "dragon wings"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "pauldrons"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "frozen staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "zombie"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "tribal tattoo"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "whale"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "rainbow"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "frozen staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "rainbow"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "tribal tattoo"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "whale"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "fire"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "bag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "tribal tattoo"}, {"trait_type": "Mane", "value": "fire"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "eagle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "dragon"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "eagle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "midas touch"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "blue fire"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "pauldrons"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "fire"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "dragon wings"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "zombie"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "rainbow"}, {"trait_type": "Claws", "value": "bloody"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "blue fire"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "pauldrons"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "orc"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "pauldrons"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "parrot"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "orc"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "dragon"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "fire"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "lamp"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "whale"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "shielM {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "laser beams"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "rainbow"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "eagle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "laser beams"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "frozen staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "poisoned dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "tribal tattoo"}, {"trait_type": "Mane", "value": "fire"}, {"trait_type": "Claws", "value": "bloody"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "quiver"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "fire"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "eagle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "parrot"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "fire sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "orc"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "fire sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "laser"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "undead staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "poisoned dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "mage robes"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "blue fire"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "eagle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "rainbow"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "poisoned dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "bloody"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "whale"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "parrot"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "bag"}]} text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "golden"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "midas touch"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "tribal tattoo"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "blue fire"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "lightning bolt"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "whale"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "wizard staff"}M {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "tribal tattoo"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "broadsword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "fire"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "mage robes"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "frozen staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "mage robes"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "laser"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "eagle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "dragon"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "mage robes"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "blue fire"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "bag"}]} text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "pauldrons"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "undead staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "parrot"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "mage robes"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "rainbow"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "parrot"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "lamp"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "blue fire"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "fire"}, {"trait_type": "Claws", "value": "blue fire"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "fire"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "tribal tattoo"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "bloody"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "dragon"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "hobo bindle"}M {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "parrot"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "undead staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "poisoned dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "pauldrons"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "midas touch"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "midas touch"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "eagle"}]} text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "fire"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "undead staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "tribal tattoo"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} text/plain;charset=utf-8 "name": "jumper.sats", {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "blue fire"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "fire"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "laser"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "dragon"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "bloody"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "crown"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "quiver"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "blue fire"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "eagle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "whale"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "laser beams"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "golden"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "bag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "blue fire"}, {"trait_type": "Claws", "value": "blue fire"}, {"trait_type": "Eyes", "value": "laser"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "tribal tattoo"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "blue fire"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "blue fire"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "pauldrons"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "poisoned dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "orc"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "laser"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "broadsword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "dragon"}, {"trait_type": "Claws", "value": "fire"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "pauldrons"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "blue fire"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "lamp"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "orc"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "lamp"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "rainbow"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "orc"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "bloody"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "tribal tattoo"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "axe"}]} text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> (((((((((((((((((((((((((((((((((((((((((((((((((( o@s[o@s[o@s[o@s[o@s[Sc o:iDASF8GCBC?>>99:447.14-.0)*4)!</'B5,ZL=bJ-]ZYUQPyy}x Lcw&&9'&.( ,47?OSZGVi:>E>DJWcj/2G<BHUq {{{wwwk{tYbljjjVVV;O?=- xxxxxxxxxxxxxxxxxxxxxxx x`nvT|s]cmUak8PeWxdB^VAOA6P= zFioQoiAhaFV^"9QNhN>^N2x x_kxkot_cmOXd3=L.6G!*G xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx VW~JVkGG`BBY>>S89M34E.0?++9334578:8:>9?BCAHHHMOOVVQ@?;../**+$$$!!! knuX`qHS`BI\RT[=DR9AP*4D7:B$*<$(4 lozbmyZctX`m]alUZb@JX)/?(.: [fthksNXdEN`LRZ2>L@EK.6H2<F)0F/5@*3@!$. xxxxxxxxxxxxxxxxxxx; SJ-1 xjBte>j[4Q))o`8G xxxxxxxxxxxxxxxxxxxx[ YYYPPPEEE(((ppp@@@lox xxxxxxxxxxxxxxxxxxxxxxx ///[[[999fffOOODDDsss xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxx RRRuuu```WWW---pppLLL:::555zzziiiEEE???4 xT|sUjkUak8PeWxdUi_?c[I`XAOA6P= z]ntFio``mFV^"9QNhN>^N xxxxxxxxxxxxxxxxxxxxxxxxxxxw^ msz]iwXaqRYfUYbGUaJQ`KPW<AM:>L.6H2<F)0F!$. uikq]`jQTaAK\ORR?ALAFK698"$) xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; }WclayihhhJ`gUuf@^SCCC x`nvtttT|s``fUi_S^ZPPPAOA zFio<Pe5PeAhaFV^"9QNhN4OA9Q9888Y xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; lve]p^ULLLT,J666O5(J) xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxI.xxxxxxxxxxxxxxxxxxxxxxxxxxz xT|s]cmUakTlf8PeWxdPeM SUyIKmBE]7=V:<I:57D=>JBDRIKUNNVRNZTR]WT_ZVa]Xc^Ye`[fb\NFGXOPUKN(%(1-/necvlj xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxM xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx4 xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxM xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx fwdgsOirINWORR68@698 xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx text/plain;charset=utf-8 xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxV xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxxx 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> xi|v`nvT|smzr]cmUakTlf8PeWxdPeM xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxxxxxxxxxx text/plain;charset=utf-8 xxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; XaqTZgBI\=DR7:B$(4!$, ns|kp{lrzZftimrGT`@JWKPU<AL/7H(3E$*: `lxlnw[bu_doZ`mWalT^kNXdPT`JQ`EN`QSZ2>L@EK)0?'->"(6 dnzgkw_guX_lZ`cTU\3=F)/F698 xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx ]Q^QN\CNmhMVVMT]LK=LfQJ text/plain;charset=utf-8 xxxxxxxxxxxxxxxxxxxx[ xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxx[ VVV???***ooo6h\-_S;oe999 xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxx RRRCCCuuu```XXX;;;555--- xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx ~eeeR_YR^Y&OM!*G/C Q|s( xxxxxxxxxxxxxxxxxxxM xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxC xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxx x`nvT|sFek8PeWxd>^RAOA6P=QP) xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx bmyEO`@JXNRT@CK+4A(.: ntzhksX`q_doVYfUYbGUaJQ`:AO2>L.6H2<F/5@!#* xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx [etUXdQWdCI[:@O$+;"%0 lpzYbs^bmT[hEO`=DR=AP ns{_kwkntMRU3<L8>J*3@(/> lr}hksW`mY_lIS^PT]ST[>AL.6H2<F dnzimyX_pV`kKVc?KXAIWAFK,6B05?698!#-"$) text/plain;charset=utf-8 xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxx text/plain;charset=utf-8 x`nvT|s]cmUak8PeWxdB^VAOM zFioQoiWjcAhaFV^"9Q>^N4OA9Q9 xxxxxxxxxxxxxxxxxxx; kp}ntykothktU\a@JX)1E.5@*3@69;(.:hY3W//O''I!!C cnz_jw_doFN_2>L@EK.6H2<F*3FzkE8;D$*;%-9!#* xxxxxxxxxxxxxxxxxxxxxxx (((((((((((((((((((((((((((((((((((((((((((((((((( xxxxxxxxxxxxxxxxxxxxxxxxK nt|lrz_jxY`nUZf7^M8=K#*: |qvRgVW^QTZ@EKXQI8;D)Q@f_: xxxxxxxxxxxxxxxxxxxxxx "RqmJ;;;,,,oooiiid[faaa@@@|||FFF ~mT@mT]_XGXH0SbIQZSMODERZCi xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx x]ntFio``mWjcFV^Th["9QNhN xxxxxxxxxxxxxxxxxxxxx XXX999xP(}}}```RRRLLL@@@ xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxxxxx ^Pe[GhWm[R|}MaLCR;1S2 xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx (((((((((((((((((((((((((((((((((((((((((((((((((( xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxx[ zzziiiLLL666HdqVVVAAA xxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx `nvT|sChhTlf8PeWxdBZZAOA6P=Sm;1K xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxx JJJttt,,,oooiii```::: xxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxxxx 0d/Foundry USA Pool #dropgold/ 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> "name": "onemillion.btc" text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 B{"p":"brc-20","op":"deploy","tick":" 000","max":"10000","lim":"1"}h! text/plain;charset=utf-8 B{"p":"brc-20","op":"deploy","tick":"lol ","max":"10000","lim":"1"}h! 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> Bj@=:BNB.BNB:bnb1evf6jr78jp4hpgkfqx2fkuk2jvee6dzr3jmypk:17716937::0 xxxxxxxxxxxxxxxxxxxxxxxxK Bj@=:ETH.ETH:0xb8b9273021A455f3cC06dd8b7D6e306287a3eFEa:25067057::0 Bj@=:BNB.BNB:bnb1tr67rh2ddp8lh8n4pf26ht5k54dctdluchh0pe:18762027::0 CjA=:ETH.ETH:0x52C95052De5Fc865A7a1926c36Bcd132F15A5704:434021198::0 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 <!DOCTYPE html><html><head><title>987654</title><style>body{background-color:black}.container{display:flex;justify-content:center;align-items:center;height:100vh}</style></head><body><div class="container">< a href=" "style="color: #ffffff; text-decoration: none; font-weight: bold; font-size: 18px; text-align: center;">987654</ a></div></body></html>h! text/plain;charset=utf-8 .{"p":"sns","op":"reg","name":"redhoodie.sats"}h! xr:d:DAFffdozyTk:3,j:2347415809,t:23040805 http://ns.adobe.com/xap/1.0/ <x:xmpmeta xmlns:x='adobe:ns:meta/'> <rdf:RDF xmlns:rdf='http://www.w3.org/1999/02/22-rdf-syntax-ns#'> <rdf:Description rdf:about='' xmlns:dc='http://purl.org/dc/elements/1.1/'> <rdf:li xml:lang='x-default'>Untitled design - 1</rdf:li> </rdf:Description> <rdf:Description rdf:about='' xmlns:Attrib='http://ns.attribution.com/ads/1.0/'> <Attrib:Ads> <rdf:li rdf:parseType='Resource'> <Attrib:Created>2023-04-08</Attrib:Created> <Attrib:ExtId>a12e4cb9-126a-4062-b37c-d9b3d5a2f596</Attrib:ExtId> <Attrib:FbId>525265914179580</Attrib:FbId> <Attrib:TouchType>2</Attrib:TouchType> </Attrib:Ads> </rdf:Description> <rdf:Description rdf:about='' xmlns:pdf='http://ns.adobe.com/pdf/1.3/'> <pdf:Author>Mitchell Westhead</pdf:Author> </rdf:Description> <rdf:Description rdf:about='' xmlns:xmp='http://ns.adobe.com/xap/1.0/'> <xmp:CreatorTool>Canva</xmp:CreatorTool> </rdf:Description> </x:xmpmeta> (((((((((((((((((((((((((((((((((((((((((((((((((( %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz &'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz FjDOUT:E829C6F1E53234C00C96F1BEA9711555AF9294A2F58C72D058EADF9C886DC24B text/html;charset=utf-8 <meta charset="UTF-8"> <title>Zombie Pixels</title> height: 100%; background: black; display: flex; align-items: center; justify-content: center; border: 4px solid red; margin: 10px; position: relative; right: 10px; width: 300px; padding: 10px; background-color: rgba(0, 0, 0, 0.8); border-radius: 5px; text-align: center; color: white; #pause-button { display: 'block'; visibility: 'visible'; margin: 0px; width: 200px; justify-content: center; #restart-button { display: 'block'; margin: 0px; width: 200px; justify-content: center; <div id="controls"> 1>ZOMBIE PIXELS</h1> <h2>@BTC_RetroArcade</h2> <h3>How To Play:</h3> <p>Use the arrow keys to move the player.<br> Avoid the red zombie pixels!<br> Don't touch the edge! <button id="pause-button">Pause</button> <button id="restart-button">Restart Game</button> <canvas id="game-canvas" width="600" height="600"></canvas> // Created by Shane Masters 2023 for @BTC_RetroArcade the initial number of opposing team members let initialNumOpponents = 4; let maxOpponents = 40; // Create an array to hold the opposing team member objects const opponents = []; // Get the canvas and context const gamecanvas = document.getElementById("game-canvas"); const canvasctx = gamecanvas.getContext("2d"); let playerX = gamecanvas.width / 2; let playerY = gamecanvas.height / 2; // Set the player's radius const playerRadM const playerSize = playerRadius*2; // Set the size of the opposing team squares const opponentSize = 20; const pauseButton = document.getElementById("pause-button"); pauseButton.addEventListener("click", pauseGame); // Get the restart button element and add an event listener to it const restartButton = document.getElementById("restart-button"); restartButton.addEventListener("click", restartGame); let isPaused = false; nction initializePlayers() for (let index = 0; index < initialNumOpponents; index++) { addOpponent(); drawPlayer(playerX, playerY); // Set the player's speed const playerSpeed = 0.5; // Move the player with arrow keys function movePlayer(deltaTime) if(isPaused) return; // Calculate the distance to move based on player speed and deM const distance = playerSpeed * deltaTime; // Check for arrow key presses and move player accordingly if (keys.ArrowUp && playerY > 0) { playerY -= distance; if (keys.ArrowDown && playerY < gamecanvas.height) { playerY += distance; if (keys.ArrowLeft && playerX > 0) { playerX -= distance; if (keys.ArrowRight && playerX < gamecanvas.width) { playerX += distance; // Ensure player stays inside the canvas playerX = Math.max(0, Math.min(playerX, gamecanvas.width)); playerY = Math.max(0, Math.min(playerY, gamecanvas.height)); // Check if player is outside canvas and end game if true if (playerX === 0 || playerX === gamecanvas.width || playerY === 0 || playerY === gamecanvas.height) endGame(); // Set up keyboardM const keys = {}; document.addEventListener("keydown", e => { keys[e.code] = true; document.addEventListener("keyup", e => { keys[e.code] = false; // add an event listener to the game over condition document.addEventListener('gameOver', () => { // change the display property of the restart button to show it again restartButton.style.visibility = 'visible'; pauseButton.style.visibility = 'hidden';M // Define a custom game over event const gameOverEvent = new Event('gameOver'); function drawPlayer(positionX, positionY) // Get the canvas element and its context const canvas = document.getElementById("game-canvas"); const ctx = canvas.getContext("2d"); // Set the player's color to cyan ctx.fillStyle = "cyan"; // Draw the player circle ctx.beginPath(); ctx.arc(positioM nX, positionY, playerRadius, 0, 2 * Math.PI); ctx.fill(); function drawOpponents() const canvas = document.getElementById("game-canvas"); const ctx = canvas.getContext("2d"); // Draw the opposing team members as squares opponents.forEach(opponent => // Set the color of the opposing team members to red ctx.fillStyle = "yellow"; ctx.fillRect(opponent.x, opponent.y, oM pponentSize, opponentSize); function addOpponent() // Generate initial positions for the opposing team members const opponentX = Math.floor(Math.random() * (gamecanvas.width - opponentSize)); const opponentY = Math.floor(Math.random() * (gamecanvas.height - opponentSize)); if(opponents.length > maxOpponents) return; if(gameStarted == false) if(gameOver) return; if(isPaused) return; if(checkSpawningCollisions(opponentX, opponentY) == false) return; opponents.push({ x: opponentX, y: opponentY }); let lastUpdateTime = performance.now(); // get the current time in milliseconds let deltaTime = 0; function updateDelM const currentTime = performance.now(); // get the current time in milliseconds deltaTime = currentTime - lastUpdateTime; // calculate the time difference lastUpdateTime = currentTime; // update the last update time // Set the time interval to add a new opponent const intervalTime = 5000; // 5 seconds // Start the interval timer to add opponents const opponentInterval = setInterval(addOpponent, intervalTime); function checkSpawningCollisions(newOpponentX, newOpponentY) const thresholdDistance = 20; // Check if the new opponent is too close to the player const dx = playerX - (newOpponentX + opponentSize / 2); const dy = playerY - (newOpponentY + opponentSize / 2); const distanceFromPlayer = Math.sqrt(dx * dx + dy * dy); if (distanceFromPlayer < playerSize / 2 + opponentSize / 2 + thresholdDistance) return faM return true; function checkCollisions() // Check if any opponent has collided with the player for (const opponent of opponents) const dx = playerX - (opponent.x + opponentSize / 2); const dy = playerY - (opponent.y + opponentSize / 2); const distance = Math.sqrt(dx * dx + dy * dy); if (distance < playerSize / 2 + opponentSize / 2) // The player has collided with an opponent, end the game endGame(); return; function displayGameOverMessage() // Get the canvas element and its context const canvas = document.getElementById("game-canvas"); const ctx = canvas.getContext("2d"); // Display the "Game Over" message ctx.font = "72px Arial"; ctx.fillStyle = "white"; ctx.textAlign = "center"; ctx.fillText("Game Over", gamecanvas.width / 2, gamecanvas.height / 2); if(gameScore > highScore) localStorage.setItem('zombiePixelsHighScore', gameScore); function endGame() // Set the game over flag to true gameOver = true; document.dispatchEvent(gameOverEvent); // Set the wait time and jitter range for the opposM const waitTimeMin = 1000; // 1 second const waitTimeMax = 5000; // 3 seconds const jitterRange = 2; // 5 pixels // Set the speed of the opposing team members in pixels per second const opponentSpeed = 200; // Set the countdown time for the start of the game const countdownTime = 3000; // 3 seconds // Set a flag to indicate if the game has started let gameStarted = false; // Create a variable to store the time elapseM d since the start of the game let elapsedTime = 0; let lastplayerTime = 0; gameOver = false; // Create a game loop that updates the positions of the opposing team members function gameLoop() // Get the canvas element and its context const canvas = document.getElementById("game-canvas"); const ctx = canvas.getContext("2d"); // Clear the canvas ctx.clearRect(0, 0, canvas.width, canvas.height); // Check if the game has started if (!gameStarted) updateDeltaTime(); // If not, update the elapsed time elapsedTime += deltaTime; //Added here instead of below to remove the timer gameStarted = true; restartButton.style.visibility = 'hidden'; initializePlayers(); // Check if the countdown has finished if (elapsedTime >= couM // If so, set the flag to indicate that the game has started gameStarted = true; initializePlayers(); else // If not, draw the countdown on the canvas const countdown = Math.ceil((countdownTime - elapsedTime) / 1000); ctx.font = "72px Arial"; ctx.fillStyle = "white"; ctx.texM ctx.fillText(countdown, canvas.width / 2, canvas.height / 2); // Request the next frame of the game loop requestAnimationFrame(gameLoop); return; if(gameStarted) updateDeltaTime(); drawOpponents(); checkCollisions(); if(gameOver == false) if(!isM moveOpponents(); movePlayer(deltaTime); // Update the game score and draw it in the top left of the canvas gameScore += deltaTime / 1000; displayGameOverMessage(); drawPlayer(playerX, playerY); ctx.font = "24px Arial"; ctx.fillStyle = "white"; ctx.baseline = 'top'; ctx.textAlign = 'left'; ctx.fillText(`Score: ${Math.floor(gameScore)}`, 10, 40); displayHighScore(); // Request the next frame of the game loop requestAnimationFrame(gameLoop); function moveOpponents() // Update the positions of the opposing team members opponents.forEach(opponent => // Check if the opponent is waiting if (!opponent.waitTime) // If not, set a new wait time and jitter value opponent.waitTime = Math.floor(Math.random() * (waitTimeMax - waitTimeMin)) + waitTimeMin; opponent.jitter = { x: Math.floor(Math.random() * (jitterRange * 2)) - jitterRange, y: Math.floor(Math.random() * (jitterRange * 2)) - jitterRange }; opponent.jitterTime = 0; else // If so, update the jitter valM opponent.jitterTime += deltaTime; if (opponent.jitterTime >= 1000 / 60) { opponent.jitter.x = Math.floor(Math.random() * (jitterRange * 2)) - jitterRange; opponent.jitter.y = Math.floor(Math.random() * (jitterRange * 2)) - jitterRange; opponent.jitterTime = 0; } // Subtract the time elapsed since the last frame from the wait time opponent.waitTime -= deltaTime; if (opponent.waitTime <= 0) { // If the wait time has elapsed, reset it and calculate a new direction towards the player opponent.waitTime = 0; const dx = playerX - (opponent.x + opponentSize / 2); const dy = playerY - (opponent.y + opponentSize / 2); const distance = Math.sqrt(dx * dx + dy * dy); M opponent.dx = dx / distance * opponentSpeed; opponent.dy = dy / distance * opponentSpeed; } // Update the position of the opponent based on its direction and jitter value opponent.x += (opponent.dx || 0) * deltaTime / 1000 + opponent.jitter.x; opponent.y += (opponent.dy || 0) * deltaTime / 1000 + opponent.jitter.y; // Draw the opponent at its updated position //ctx.filM lRect(opponent.x, opponent.y, opponentSize, opponentSize); function pauseGame() isPaused = !isPaused; const pauseButtonText = isPaused ? "Resume" : "Pause"; pauseButton.innerText = pauseButtonText; // Function to restart the game function restartGame() //Redisplay highscore highScore = localStorage.getItem('zombiePixelsHighScore') || 0; // Reset any necessary gM pauseButton.style.visibility = 'visible'; restartButton.style.visibility = 'hidden'; playerX = gamecanvas.width / 2; playerY = gamecanvas.height / 2; gameScore = 0; opponents.length = 0; gameOver = false; initializePlayers(); function displayHighScore() // Get the canvas element and its context const canvas = document.getElementById("game-canvas"); const ctx = canvas.getContext("2d"); ctx.font = "24px Arial"; ctx.fillStyle = "cyan"; ctx.baseline = 'bottom'; ctx.textAlign = 'left'; ctx.fillText(`High Score: ${Math.floor(highScore)}`, 10, 20); // Start the game loop let lastFrameTime = Date.now(); let gameScore = 0; let highScore = localStorage.getItem('zombiePixelsHighScore') || 0; 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "bag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "laser beams"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "blue fire"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "laser beams"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "parrot"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "tribal tattoo"}, {"trait_type": "Mane", "value": "rainbow"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "eagle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "lamp"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "tribal tattoo"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "dragon"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "wizard staff"}]M {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "parrot"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "bloody"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "diamond hands"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "eagle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "bag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "blue fire"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "rainbow"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "laser beams"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "hobo binM {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "rainbow"}, {"trait_type": "Claws", "value": "bloody"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "tribal tattoo"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "undead staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "rainbow"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "mage robes"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "ghostly compM {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "rainbow"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "eagle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "laser"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "pauldrons"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "rainbow"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "ghostly companion"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "bloody"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "lamp"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "zombie"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "whale"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "broadsword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "lamp"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "bag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "blue fire"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "tribal tattoo"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "blue fire"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "lamp"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "pauldrons"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "crown"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "parrot"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "rainbow"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "eagle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "eagle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "robot"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "fire"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "zombie"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "parrot"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "orc"}, {"trait_type": "Mane", "value": "fire"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "frozen staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "fire sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "bloody"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "laser"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "lamp"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "bag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "rainbow"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "diamond hands"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "fire"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "silver"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "frozen staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "parrot"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "rainbow"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "eagle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "tribal tattoo"}, {"trait_type": "Mane", "value": "blue fire"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "lightning bolt"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "silver"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "laser beams"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "bloody"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "dragon wings"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "golden"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "fire sword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "zombie"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "honey pot"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "broadsword"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "fire"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "parrot"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "fire"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "rainbow"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "poisoned dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "brown"}, {"trait_type": "Mane", "value": "dragon"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "blue fire"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "bag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "zombie"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "bloody"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "wizard hat"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "fire"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "quiver"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "red"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "parrot"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "mage robes"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "hobo bindle"}]} >Kuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu "oGuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "blue fire"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "bull horns"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "fire"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "eagle"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "skull"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "moon"}, {"trait_type": "Body", "value": "black"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "blue fire"}, {"trait_type": "Eyes", "value": "laser beams"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "hobo bindle"}M {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "white"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "fire"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "shield"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "blue"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "wrapped"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "dagger"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "blue"}, {"trait_type": "Body", "value": "armor"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "badger"}, {"trait_type": "Artifacts", "value": "pirate flag"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "yellow"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "black"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "green"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "axe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "white"}, {"trait_type": "Claws", "value": "long claws"}, {"trait_type": "Eyes", "value": "red"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "dragon wings"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "cape"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "blue fire"}, {"trait_type": "Eyes", "value": "blue"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "parrot"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "tiger"}, {"trait_type": "Mane", "value": "grey"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "mohawk"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "pink"}, {"trait_type": "Body", "value": "dark blue"}, {"trait_type": "Mane", "value": "blonde"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "undead"}, {"trait_type": "Artifacts", "value": "wizard staff"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "golden tribal tattoo"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "fire"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "unicorn"}, {"trait_type": "Artifacts", "value": "pickaxe"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "zombie"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "white"}, {"trait_type": "Headgear", "value": "dark wizard hat"}, {"trait_type": "Artifacts", "value": "arrow wounds"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "green"}, {"trait_type": "Body", "value": "carrot"}, {"trait_type": "Mane", "value": "greenish"}, {"trait_type": "Claws", "value": "BTC whitepaper"}, {"trait_type": "Eyes", "value": "regular"}, {"trait_type": "Headgear", "value": "thief hood"}, {"trait_type": "Artifacts", "value": "none"}]} {"name": "Honey Badgers", "description": "Honey Badgers is a generative 10k PFP collection inscribed on the Bitcoin Blockchain through Ordinals. It is an experiment to see if a native NFT community can emerge and thrive on the native Bitcoin ecosystem. The project doesn\u2019t have a roadmap and its solely purpose is to deliver high quality pixelated art and a fun place to hang out with friends. The collection is Bitcoin themed with the M honey badger meme being the center of it, but also has many other traits related to crypto and specifically the Bitcoin culture.", "creator": "Honey Badgers Team", "attributes": [{"trait_type": "Background", "value": "purple"}, {"trait_type": "Body", "value": "golden armor"}, {"trait_type": "Mane", "value": "toxic green"}, {"trait_type": "Claws", "value": "regular"}, {"trait_type": "Eyes", "value": "golden"}, {"trait_type": "Headgear", "value": "none"}, {"trait_type": "Artifacts", "value": "bag"}]} text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"gold","amt":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> x`nvqwtT|s]cmUak8PeWxdI`XQhT>^RAOA6P= zFioQoiiiiWjcAhaFV^"9Q xxxxxxxxxxxxxxxxxxx; xxxxxxxxxxxxxxxxxxxxxxxxx 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> "name": "lakers.btc" 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":" 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> FjDOUT:1348C6E7CC28588EFBB33BD6A0DBB3435C150C2C067EECE4404789A9ED8F05E3 text/plain;charset=utf-8 KjI=:BNB.BUSD-BD1:bnb1y92g347syy4tlwlufwd8clgxp648d6uv9pphz0:6031583113:te:0 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 2{"p":"sns","op":"reg","name":"redhoodielabs.sats"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_523", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 5, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 17, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "CO+uPGr03LwBZWW9R9rfPOYKZTz3coe8U7LWPD9S+70XhMo9EGAcvAdoQj0VvUU9dxCsvXcO8jyLMA09zSMuPTM9Y7wghJ69I3qDPXWqID2R4RM88BLQvEkYYb2pb5E88DTCPI+Xmz1l2r09YM/FvbiGVT0herU91hsCvJAKLT33zpK9iysHPZnugD38aIQ9g3VWvEU8bb0X/LQ8TYyHPYmhGT2MsM 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 L+7Th+evfSO2zyfGE48hU3JOq9Bujs3OMY88shYPKSKK72Sz7W9lGCBPPd2xLtZPGc7teiLveOZFTth2UM9S5alvUyAAD2gVSe9vHoPvel+Uj0xCCc8+ne3PJXTDb3YHWa91WHpvEHskL2Wc8O8/UaBvdnSPTz3Fiw9menzvQCGUL08ria8INZTvTZ43DylJvI8RmXYPA52Nr0GMsO93wCWPGrMqLx3NIU9anmmvUXilTtb62U9FeITvXyso7xkp8O7EjCgvQ4rn7uJrci8/khePcG9lrypwca9hvGJPIM71L3zMq49TVY7vc91QL0Izgg9CxnjvSFhUjwMs1w4HAeVvcucTDyNk5e9lq4UvPei+rz/U8K9TuCUvEtvvb3L96g9/zd3vPBwpL0bCHm9HK4vvs3A9rkPH427yewtveTxDb26ypK8x2lIPXcBoLs5S+m988yVvag0Lb5iPvw9NmJTvA9U1DvaBFK8VOotvsKooz0ajhA9qJ27vA6mVby39b29xaEMuM 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 80bfD3TUHI9/LTIPeUWtL2GMSS8SQMWPJ9SSrsbiDw9j0oPvgLvqrzqVKw9bfMNPd5KnLrVBSW758O/PKUe5DsraKM9tOd1Pc3mfD06VZm9tp9ZPbj/LD0Nr3s9IG2WPOQLsrwjWlA9dPrnveVy7b0h+LA9bB1qPTmfKr1fQla9WMKxvRdEBj5DEyg9Ca2WvfxUgr2JSom9SGGIPRDuTj0pZm68ERgNPuWW2zvemcO8Zk3tPYReUj08Fq49pLyOPDKzV72Huoo9qg+muzH/5T0wtyy9eHiNPCr/e7t8riU9O2bXvcchgr1yues9PkrlPUSGlL3Ih8W9yKkJPS/b9D1euRE9FfAQvicQDj2/jFI8L5vTPXOwTr1gl6G9XMGfvTmmrr2K8+69DpBdPZu8Fz4Gkhu9/LHqvTpWPjsVm/M9FXo5Pu0D6LxPnx89j+IlPXHBlz3rKFU9CmQMvaY5Yr3d6rw9Qb0yvVe8KTtvjcs97ud1upP1XT2L78w6fvDNPfS1Iz3PrM 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 Yk+0llQPhETgL4DfTW+D2yPPUe+Sr4+wtq9A5YkPohj0z10NZ88DImgvuTcZr2A/FQ+5YHuPbrffz7IwIm+UXMWvWnQQT5X24M+oUcGveeTyrwqDNC9GP67PAquJD1AJ5i9VwgzvmqlVb5Rw4k9PWVYPfVOwDwtZzK+gcAAvpjM+T0a50I+YyOAOwp4yT6ydik+8CDIvn81Ib3PdWq9JganPlL30j1c3bG+zInPvRltj719eI4+fJwDPe9Khb4QBp29+2JzvU5ojb5wx/49jwqjPVSAI76Qu0q9Ht2dvSWvGT79Ota7yH+kvXOAHL5Z9uy9yGsSPqXFELveKwS+rzhhPqBeWj1laLS7aNmYvW5C5z2wby4+u+FlPe4ogD2lMhG+PqAePR/0tD3xVye7LXj2OnxKVryHiIk99Xs7vQccLr0UvTa+10skPiaenj06GOs8WG3nO7wLKL4T3/s9n/U1PnDgKb0byL28Kwb1vducCj5JaAw+vDtivWSkBT5WrTy7MDFWvM 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 8O9a9VOvXpCDD0vq669O3sgvh1wpz70E4g+7SqcvvUhsr756Ii+G5ljPnGYGT48Cnq+wwncvlivDL75JDY+JVsOPchwar6NJHC+jphbvhEijT0EuYA+2zgOvvIchL4zXLi+OTuYPQ+O5T0z9g++KhiqvvM7bL5yia09Hnj1OoO2Gr6rgjO+5UfQvHngKj7psbm9TKZhvoHh5jzH9k2+uO8tPuk6Ar4QDUW++Pg4vo1nVb7IHgQ+xorcvScuJb5sFlG+rpNBPnPHRD66RGi+Wa6kvV3kDT7wtp09oEeZPevw473WiTK9YvQqPOX+m7z+IOy9PvPGvQjonj0njSg8vFVrPspDdr1QBQO+4bSDPRnfRD4Ypbw91evIvvc1YL54a0A+85kqPpx8MT7nmea+j7M6vv4bgj4b24Y+iIPavXdMKL2PVwm+2gfvPcki3r1d6YO+XGVIvmHNCL6Lz6A9ca4Nvn/yZL4VyIK+bSI/vpobfj00FYy8wNVFPcPdej5sAYA+SVaEvM 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 Zt4v72x10i+wz4dPs4om75Tg4m97Dq7vQ1vir7hhoI8JfldvihOND2ujCC9aBomPdH6gz0UuTW9/YzsPRUkvrwVcVy+QrEnvltHCb5otlg+g+uwvZNQG77vH2499q6HvSeK6byGJqU9e5iJvSPoPb691Xq8lMWsPsyhOb5L1K++1My7vuSfIjz0jek+Mq+MvgxJWL4Iyxm+a4w4vIwttT0oao68cykGO8vg4b2f3OY9f7WfPRv0Bb4N3Pq9S5dnvks54D0BWGw+nAYUvggX2b1UrAK+H5HeOj7l3j2o4J69QFnxO2nwEr03UCw8y/vTuyfeAb5NwRG+z7v6uY/C0T2PmdS9DosjvifTUL623le+oLoIPfFxET7PvaG9S0dMvVZlPr3V4RO89//hvBpF+70+h4G9LRwSPgWVUj2T/I29+vW8veusgL5ljBe+XSYxPdxQID7W2hW+aZXauq1yhj3NWgy+ML9Uu1YCyL3EIlO8xXIsPnIANr2LdRu+XkwHvlBfbb6jZM 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 867EdptPUIbHb1S4Lo88h4bvF3yaT09FT89cPE8vbBZrr1vFXq8Hd0jPf84ez1OaY697pYnPKgkxjz+H8g9As6FPTqoT72rNFC888QOvOPcED2k4Fw8JPG4veomFj1fyXA8Scx6PXKNgD3buMO9lZEkvZB8JD1s+9E9S/AIvL5g6Ls6Zy89bpJwPfKyVT0huoa9rQ2XvAl1KD3MtnE9BDuUPQAG87v+Bg29kyERPRGH0z31/MQ9rwt1PRrksbzgZlk919C5PZih4T2JK+g8lCRvvc7BBT0unvM9T3TKOdFo4Dv8GoG9CfqVucYHvz1tD+k8l0PEPEFhJbxi8Iu8nOQSvaL35b0AmtM8dtkePTJq9LnXXDc94d3ivTAjrj3Ft7o8J9advaj9KL1TeGW97gU0Pi7EnT3k+pG9cNPWvbn+Ub57j/o8FvwJPlzM6r1Yndy9qpYQvquFpT3N2949Xxacvd5nXr25j2u9XcWaPSUSTj2E3IG9IrtCvRpP+72qAwY+qUy0PM 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 9w98ivpvXtljTw=", "training_traits": {"structure_gen": "Random", "n_layers": 2, "max_nodes": 17, "activation_func": "Sigmoid", "epoch_num": 9}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseM Int(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stM age=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTM ime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(M t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vM ertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drM awingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i)M ,s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-lM <t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){conM st n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.M 199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.M 8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.filM l(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVeM rtex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4M ,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,3M 99.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386M .3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertM ex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),eM .bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5M ,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296M .4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2M ,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.M 7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,18M 5.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599)M ,e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,12M 5.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.beziM erVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVeM rtex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9M ,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4M ,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.beM zierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428M .3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7M ),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,1M 19.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierM Vertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.M 3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370M .2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292M ,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187M .399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,2M 26.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertM ex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.M 299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVerteM x(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,3M 51.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(eM ){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.sliM ce(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/M (1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=tyM peof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<eM .n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=thM is.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?M t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forwardM (e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){conM st e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32M (0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=aM rguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAtM tribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._M setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValuM e(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventLisM tener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throwM i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(functioM n(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.pM ush(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.dM ata=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEvenM tListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="524";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,M hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await M En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#M ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29",M "#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[]M ,ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(leM t t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.reM ct(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButM ton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115M *le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reM load()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=M Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,winM dow.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?AeM *=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.lengtM h;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(BeM ,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function M $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let tM =0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.cM eil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++M )n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const M t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[eM ]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENM TER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke)M ,Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),iM mage(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}funM ction Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.M line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeliM ng this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,heiM ght/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,6M 0,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak perfoM rmance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,heightM /2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWiM dth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/M 2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(widtM h/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 DM ays"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:widthM /2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*lM e,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fillM (ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(letM e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.liM ne(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,M 75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}fM unction yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I aM m now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old PeM rceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();returM n 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],M ["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["CM achet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.trainiM ng.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdM E0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b481d09d805a1f9","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> text/plain;charset=utf-8 {"p": "brc-20", "op": "transfer", "tick": "$OG$", "amt": "2000", "to": "bc1pm663zhwawss8kdqxcekw30e6ar6sxr902qpx7kugjvj6kaav8djsntaw4f"}h! text/plain;charset=utf-8 {"p": "brc-20", "op": "transfer", "tick": "$OG$", "amt": "1000", "to": "bc1p9jvfrxc9kyg3uyk9m8k0k0394hhllpj85f9cu54y6hhdlgq7sx8qu4x0kt"}h! text/plain;charset=utf-8 {"p": "brc-20", "op": "transfer", "tick": "$OG$", "amt": "500", "to": "bc1pr2ktnnv5eftj7jd8xqpreghxata7g8x5qrt48070stc6jkcn3hksg02424"}h! text/plain;charset=utf-8 {"p": "brc-20", "op": "transfer", "tick": "$OG$", "amt": "500", "to": "bc1pz2tluczwv2slt26ywnjyckjlmgltj5vk8zcw5rh3shacpltzkjtqvsn408"}h! text/plain;charset=utf-8 {"p": "brc-20", "op": "transfer", "tick": "$OG$", "amt": "5000", "to": "bc1pd7nr5ysy76z25s27sn5qyvxflz5g42uysgfxf68zwmhughxyffwq6dn05p"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! 6j4ion:1.QmWJi6GUAETsfPrZpDteuoNmrAMZzozNEcRRAESMYrLYbu FjDOUT:8750CBAEE86A8B4A1EB7436E60840AFB01916C92A44EB62A8788A67E450CB711 FjDOUT:FDE09C1D9BA169604BD647BA0B5CE973EDEA25E505676926D363489396ADB310 "name": "streamer.sats" "name": "hoops.sats" "name": "streamers.sats" text/plain;charset=utf-8 "to": "bc1pahjwd2j6hdtd9mpthu44xazc39memygnsq58g77mg99dlrzy999sh9se64" Bj@=:BNB.BNB:bnb1tr67rh2ddp8lh8n4pf26ht5k54dctdluchh0pe:56960210::0 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"PESO","amt":"1000"}h! "name": "summit.sats" text/plain;charset=utf-8 E{"p":"brc-20","op":"deploy","tick":" nat","max":"21000000","lim":"1"}h! 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! siTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 5.6-c148 79.164036, 2019/08/13-01:06:57 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmpMM:OriginM alDocumentID="xmp.did:de767d66-9358-744d-a7b2-1b8c83fb4bcc" xmpMM:DocumentID="xmp.did:6A1F5F6FCB5011EDA52ED342DC503A0B" xmpMM:InstanceID="xmp.iid:6A1F5F6ECB5011EDA52ED342DC503A0B" xmp:CreatorTool="Adobe Photoshop 21.0 (Windows)"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:00c94df4-2307-0849-b84e-099ef1d50d6e" stRef:documentID="xmp.did:de767d66-9358-744d-a7b2-1b8c83fb4bcc"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> siTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 5.6-c148 79.164036, 2019/08/13-01:06:57 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmpMM:OriginM alDocumentID="xmp.did:de767d66-9358-744d-a7b2-1b8c83fb4bcc" xmpMM:DocumentID="xmp.did:46873097CBA011ED964BB0CC0D43BC0C" xmpMM:InstanceID="xmp.iid:46873096CBA011ED964BB0CC0D43BC0C" xmp:CreatorTool="Adobe Photoshop 21.0 (Windows)"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:00c94df4-2307-0849-b84e-099ef1d50d6e" stRef:documentID="xmp.did:de767d66-9358-744d-a7b2-1b8c83fb4bcc"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> siTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 5.6-c148 79.164036, 2019/08/13-01:06:57 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmpMM:OriginM alDocumentID="xmp.did:de767d66-9358-744d-a7b2-1b8c83fb4bcc" xmpMM:DocumentID="xmp.did:2868ED4DCB5111EDB3BEB91F052F0B24" xmpMM:InstanceID="xmp.iid:2868ED4CCB5111EDB3BEB91F052F0B24" xmp:CreatorTool="Adobe Photoshop 21.0 (Windows)"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:00c94df4-2307-0849-b84e-099ef1d50d6e" stRef:documentID="xmp.did:de767d66-9358-744d-a7b2-1b8c83fb4bcc"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> =Al_][%,;%-;1=\8Cf+)=9-$ text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! CjA=:ETH.ETH:0xeFE2069FfC5e6f9602387783035cb1a32Ef65Fb8:723470625::0 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! Bj@=:ETH.ETH:0xeD6534132eD110b874A9E7532E76d09fb75402af:65895767::0 text/plain;charset=utf-8 rare sub-1M inscription #985177 "name": "tweets.btc" "name": "ordies.btc" text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10K","amt":"1"}h! DjB=:ETH.ETH:0xe99A3E643F2fAb5a45385dF2FD1fF39fa45fa3E4:1172866779::0 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_115", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 8, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 8, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 3, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "tzPuPKuUE71xOMU8JIc9PX4fHr0t54E8oVHTPDw4iLwi2IQ6KcklPSJh6zwe6aE9vP/eOwYcp7xq5ZK8DA4HvVeqgD0WSaY94iIePcAylz0YejU9pPIkvMdCwrpAxco8iHhsPU2cwLwM 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 Vs2A9LzRfuxHoAz1hIUQ8P6n/vPFHELtfI9Y8BkiWPMA3fLs4klG9FniJvE2CjDylfKk8eN9nPXJXT7zqL2s9U7eePCGUZjtMOuo7uRybvH5u2zw8T+s7db6MPJhFubuI4bs73AU4PaTYZz19mys9XiKHvDbimTzrejY86X81vcIe+zxl+ha98x4lPSipOz2LuIU92lMPPdLI1bxcdjG77atiO6LpGbygv2g9AJ3+uwawLLy8thc9ZphnPPfpAL1vMZ49+7lcvFBkGj2Ij2g44cIGvCVm5DwV8iQ9AyaavMSgQz03AFW9PAKcPBeoBj2MTO49tWg1vMsBsD3MtqU7UbvKO6QWlLzlmZg9oNdRPSsPsTyYTyw9FirLPDat0LzPq8e4BqrousbCmD3/z4Q9/uW7PN49hDyG+wI+H3eCvCwsHT0NQWS9G1MxPH3Zkj0ZWfk9c7STvbul8DwKiQs9zN3vPLp9Xj1qc0Q9zW0yPPnbWT2oIFi9aBMnPY9Rujw0nZw7jA5M 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 kO5iYn7zTg707wW16vBkbjT1Q+6497p04PDMkAL286Dk95tptvetwSztfPs+7QR5cPHt28rvz9Zm8BreDPfwdYruR8xS9aooePHlwlrokQAw9KogEvVhunjxuEcY6hmlHvT0aRr10CQm8qqWSvBmqELwplYc9YomXPZLCnLyNWkC7CyxIvR/XRD3piuY8/WQfvIQ0Wj3GKBw9eZKCPTzBrbyhpwy8ar6/PFFesDzEUfW8got5vQoQ2by5WKQ9RQSOvF0oOT3C4AC9pB7rPNw/gj3R6E673HmPPcBQlTyYDAs8+L2uvbFMLzyHHh49mVg7PUZ/DT3oDgS91Io3PVe7GL06t0E9CFP+PNnaXLw69j87bKU4POVA1DwnEn89FDm5vaEEtbvBU1K9x50yvGGc9rvI+ic9ApErOxSBnD1EEbY8dO11Oy+Xiz15g1E9gdiPPb6zjjxbTQO9ne1uPYsLg71/cSK9vXFju9ifybxTwAc93a8eO/MO0LzlE9Y9aR5jvQEvNzzM 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 gPZA9gTq74HE9l6dNuy5dqj1Ekoo9tmm1vA7qQ70Qglw91yIEvdZNJDzf2DO9IvCVvEdlTj2S6/w9jSyZvC+GUz2QvU09QSzRvDKvFb2qgD89kYYiPMCWqj3JxTQ96b7EPWyQ7TwH7BE9yIT3PPq2Lbx44Zc9QiMQPYgOWr3Xlsc9ZB7HPIDHlz3NkjS74HULPaYj5j3ipoU9S3qJva4JfD3MsjY9nEXBOtwN6rzIz6e8ubG8vMHNobuNfTS9/NysO5jjwjqrdHo9HKiiPBSI2DxLi3Q9aB8nu4iocb1Fzdo9tWUmvD1lsT1yMp24brt4vHWq8Tw89I496rCUO5MKrj0utO286MSNPEV82LqshM08OjxEPQeyDjueGA69+48dPShlSL0ZJ3e84vY+PWrDYT255u28sfN6vBTE+Ly0wJU9DfHJPOiwBD1OnTg7M+o0PMGEvz0xvNg92s8bvRSz+rmKEf+6BqUpvY6K/zyIoMC7+Vqruz6iLDxMkSo8eshHvXrukbyM 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 SvPuxAD3WvLc8z+6SvTHZTTzBM8G7hyOKPDlwdr1o8D68mXArPA/lQr0wKq69ofGEvWJGgT2SCVY9L8i/O3VHmjympMw7Bt9gPRy1Zb3+9oo9+k5/vY3ORD1pACO8M54mvXP8LDvDsh09oMWXvaqlqD0qAmO8wmTNPM7TgjxDiPM8yDWCOmedU7vok5+99ysLvHgNLTzycRo8UhMWPbsEuz1xAgi9IoJhPENQo73eS1k8zn7WvEZw/jppXII9+PE2PF77UzwnK4w9tnCNvenshz3Szci9NIvlvFAPxT2O6JQ9qK5wOxgvpz1N75u9JKarPPWbGD2GsYE9q3mJOxwuqD0H/4O7hqYqvAeZGr19qJI9Uss3vfTeE73ZoC09nnQ3PXdLSLvgLwo931IHPfXa0TscI4470yGfO/xxjj1diZI9330qvfwUhz0D5rw7rbP3upJHKT1uKEc7W4/hPM+9Cby06ck8al3pvAjctryyFfW8gKD6OjbTSDyFuSq876Q7vRqUP71M 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 8uzB0Tz3WL4g97L42PEFa5zp9eX48ssN6PflisrvqO9+8u7xQvdw6hjzK1YE8LUmdPZi/rb0VriE8YdOovI8cpLyxRwW8f7tcPaGF7zohGKS8/TbqvP104zvy1DW9Pczvve0bh7yDZ8E7OnrJvT6wKTynuGo9HcEOvYMwKz3+xl29GG+IPJ4XsLzxcp29R++zPDXf6LvxKP48F5MzPU60v739k6y8qmKDvWNXJL0nc1E8ueoBveCzQT3eJFC8BwBcvfTus7xKEju+c1mjvXkcjz0tDz09b72NPZOmYT2DP4m9s8uvvMJg2r0ueC88v8IjO4pIubsItT29YtQVvVj8g7wIow+95ixbvSpkkrwCPlg9xdfBvUHW9Lx1DiQ9O/cyve1VULy9ub29au/lva21XT3Ge+Y86I5DPVWDcD2Kmcq9dwJdvFyAO733kdO9Xjc/vQ4rTjxXYi88BvHFPZVtRb3kL/i8OQoRvd1Iqr1rKhy9cuH4vKVphjym7gw9Oz/9POoaTz2M 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 Pqpg9AfyMPAvsOLycCQm+u5wePBtnEL67EiG9woGCPdzdQT3CRxo9tc6ovehUGL7E7o+9sKcAvMEIsL3gjVA928gtu8W4/buEwAC9vmxgPLYmdryKICC+VPKMPTu4jjvRAJA8oWEKPZKhQ7xMLaI8j05GvZhOrL3tj6M8hDObPHsxvbxmfNs8UX0cvknZN7xkLIu9FC6rvIMdkDvrhzk9SqQwO/xHZbzcp/S8CIHgPe7Cizzhjyu9vzzdPcKzwr3yhUU8PBQpPd03vL1FPys9ojUpvbJ2Fr1tZUY9x9TGvbmqlbvpwIE7Yk2vvZyPjD2KgCc9AipRPdY6Uz3VAro8PqwNvWPgnT1almu9j0zCPE/JSbyR1Ee9CvRpPWNujrsYSJs8NIWCPTFaLLyrCiy9D/fLuzkQ1LyCEYY8FgNAPNQO0rwjgo09PMCZvQwCST21rRY9RgJzPSl2VDtET4C9shdhPKREsj0vEsS9ZXzGvOP0xLyvhas9rjivvPxsTb0gWMG8V9sM qPaIiOz1k1Os7kGLRvfYOVj1Mlzq92xi5vXPIHj3cwi6861ccux8LqrxJOz69XY9PPUrTT73IQdm8pG0yPaiDfT2/tws98Nlvvb5XyLxexkY9zEwMvQYh4zzrPHO9fkKYPXLXkLz42Ve9QvacvbBpaT0oi3Q9vjCkvTzQ0zw7PRQ9MP6gvcinqLyhFTU8LHvrPSqsdzww6HA7WZntuhZuzDyV6568DLykOx8jg7wYASy8E4DeO4gglDw7GU898MUvPZLFK7vDN5E9TH9TPAq337ysj0U9RmGju4J9+rz+Pbk7ZeZ/vXySWT2supA9d7p2u/N4nz0IGoO8U+eLu/PU3jy/gQu9ks8bPVOhMD3FNDK8pnaUPfCtFLxBwfU8kaYDvRWl8by0WMa72B7CO3k/qrtJbwA+f0sivZBYyjx7ZqI8NVmDPOTSFz0bco89ayWSOk0+Yrp1Ew09n6ckPcIv1bsq0Yu8DCsGPAJ4lLvT9Dk9NQ7TPDjyIT1Aucy7J1eCvGCQNj1M 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 jPPb9rLyuJM68W1OkvW/smbnSyCY9XF3XPFsaZrydSmu9d7IIvT89ub3Zmy87XS60vIetHjuCv7483I4BuyvUU70Q93o72nbIvE1GwryXvcs8CaeZPYr70b0ZPEo9EmhAO2cN4DxwcUy9ZraXvTGlCb0oLZC8GgISO9WKozyi4hO9YDcxPSqq4r1+uVY7hG3avW53IT2SY5286JzHPL3JFT4YqyW9NhzVPV3Wa71pn3I9QxmWPYtkF77jBTQ9/r0FPjX99TqX8dA95FE5vmlOdzw68Qe77ACuvd8rjz28NTs9834CvYQ4y7ztNJu9RQazvF3tFT091Iq9Mp4AvTHoDD46TE+6XtkTPgjvTr6lFZg9ErLYPcFET75UsOM9bZhQPhpPFTwfiRI+joucvjmKfz2Rhvc9bzA0vq3KvTxVq3o+OKNJPZODzT0AOpK+bLbIPSrdG7wL7MY70vLgvH5sqz3a2vi9XJK8Pd3Anb3/Xi4+tK91PeoCFb5Nwjo9oM8xPoTnIb1M 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 z66C7CMfpvG+J8Dxw+uk8iHicvA6QET53JK27VzTfPXgS3r00kmw7t0auPPz1cb22fnc9WKcUPlHadTzhRZM93C5Lvvl5bz0jwb68HDbqvcx+QDwosXY8iZWgOgQVJ7wMbHi9zTynvdaZjL190Mu8iAItuxfFzT2IAXm9XfGoPaxMnr2Vu2g9ad8aPJOogr0Jhx09JTsZPrmwGb0617Q92YItvhw6UrxWjJU9lBK9vafpqj1+Y9M91QFTvSQAQbxMSTC+UkKTvAhndb0CjdI9bCujvUdGCr40bpq9f6CQvS2nsz1joqI9QG1ivdeihj39xxk9vTcbvuUl+r1BiXK9VQayPS+poDyaoiK9XDDEPMDb07WWIi2+yXHkvPHk0r1Ff1g9hM/sPQP3771Xwxw+uikjvKnjt754Usa9J1yQvXPrHj7YrKI9ZSgqvuoO0z08w5q9zAuovpTtA77EC569YZBGPmXxnD1Ik/29jtrQPAsjOTzqfg++lf3UvdBlmztpRXE9rbgM 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 68ss97TiYvc+I0TxPjfC8tf6WvakBF73pKow9jv2LPPKkM71Uc4u9IBcYOgjthjzsbRm+EP4hvTDpnT3Fuhy9cd7yPLrldr2lgh+95azaPEqWZLw7GEO9+R6nPGCchr31loA9pGUUPe42Uj02i3S9/UiOvElZwj1ejam9fEzpPRwHC77GU6w8YsiaPNdtFDwzBNk8QZRHPSRVib3FYQU+YabovSx39zvDr5Y9E7luvJJJZzwjGaY9MyfbvKXgjD1ipL29EdWpPRXoCD1zc1u9wOzEPZ3VmL32JtA80uKkvWCpWb2RiNc9ASvLPE7Sqrzx4uM9RCCTvej/g709uti84n7rvde/rj0APmQ9TnQ5vf/Mnz0mzMw7BvLTutXLBr2sesG9B0PQvTA+GT2W3Rc9A3ksvXDos724Wai85MSfPHAw1Twwbsu8mPTwvIacZD1/OVu8D6cnvWphkbrBlCG95iEpPCGfOr1qPbm7GuiiPXvPYjzRy5q9VytJvJ9KfTwx9R887ovM 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 oEQe9TxiDvS0l5jzVeeq87WuBPA2ZXj2uzNs83HB8vQF+ubzMvEI8I1tevfZTWLzQtA09/o4PPN1Rnj2vh9Q857uiPYliDjrK4f68+b5svSN77zymJVc99fddPYHMAzx/qcM88IudvYvamzw/hjG96Gf0POT8AD1PNog9kXkZvNC87LyPGge8u/5DvX4egT3x0QC++VgoPT8S4zxXbV8945GjvXobRDiJGxC9gqIXu22kxL2GXwk9PUh8PQX4iD11gI29kPOWPCIBlL1FpFQ9pl45vJltPbuicqu7Y1nsPHEaE72kzoo9hOeNvVxumbyoTPm9WZFpvG7Mab2rYDo9RgXEvY9alD2IWAS+MQ6CunNTc728oo27T1kIuqrxTj3EddO9BF7zPSHC7r3Yzg+9ZdpvPGrNm71DzS+7P1RNPcZTgLy/tyU+T04mPSEjozkCzf688hvYuwdjDr0FL0O84iqWvTopmD1oo/g7Mc+PvaGMpT1Eb6a8wVgovaQx1bzQ+9a8cimM 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 aPT3oJr5laho+q56VPO4Lmj34RJk9G2ZrPRBFg72Jk5q8tnlbvaIfxbmYGMW7XNypPKnywD112ug84dbgvI+bOT12PlK9qyZcPWTdEz0jurY92pHfvDi8qT05Uv06W1klPfN83r36YZs9Pu5xPO7omT0dIUQ9x/1PPNbXnLvao8O8HO1LPTr7Fb6Cf2c9z7iMPKhdlD1g4io9nEkNPbxJYr09NDq8bco8O+XDIj3KMpE9Nwu4vBkJ1T2NlkU9v+DevCh+17yNd6S8NHQqPQi2Sj2zUX07VS+6vC44uTztc3q9y8V/PJrUF77COr49l4sAPpXqLD1QzzI9WH7wvCVWqLpNS9u8ZMruvW/uUz2WMUY9rocrPNwhcj0YaCU9AGdkveuM0Tq00n29J1IgPUX6Tz1ZZ5+9C0c/PPjdK733DhI9N8o6vZclFr7wDG+7weqwPS4f5L1wbZw8u/qtvRcFlzyU7N69iSOnutvqWT16h6M9ZFFyvJdahD17IhA9YlhavSzYtrwM 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 2vJRL8Lk6Yga806fWPIdKcL3fkpY9OFfnvZTwMD6OVw++/P7GPcjk+LqT0DA98CmgvYq9ID2b2c69qWRHPbAhJr2jlxE9O5gjvmg3gDwXJRa++csMPYU3QzzORLQ9xv+SvUzYszxvgJG9Hsq7vPQ3Kb68ZmE9fAzCvdLzaT7Tz/+9K7knPBU2lb1hN+U8joEivorqjzzawjI9jiKqPWICkb1rr5482A4OvvhzJj1+Lzu+QdLyPCwLpb0SgbY933qGvTg5o71qtgK9lvizPSIIJL7M3Q88fGutvdmUMD4aowm+V9diPOu6Ar0mmc07YMe+vcoRxT0hh3w83G+QPUi06Lxxnk29JqMBvNUllT0dyAa+40QWPX8dhr09eb49qx6svSd8KboOGH29FvalPbDJdb0g1MA9VScOvtKsHD6AkwO+RBtQPVmxpTv7Lig7Z4qHvXF1Bz71rCa9nf4pPV8u970JYAK8qRyou3cwET1V7xK+aaKXPPXF9rw2Bl49adfTvfB/xrzM 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 Rc1o9pVD0O5lYDD7Ew++9KWM5PIAGy73IdY09jkm7vO5V+7v71NI8ERgFPiWdgr0qudA91fk4vGunjzqb2oG9kMYEvfELob0G35U91W/yvdU03D38RKq9X/MavQZFcL3AA4K8dEC5vN/wlzsoy6O9NI20PSVs4r0lWgI99uBGPQ28XjuB14m9a9a6PRrb1r3RGrw9q/ixPT1MODsYrw29wj0VPDviZ73A+Ca9HKg7vCTLzD36IQy9omeivOI6Cr3Krhs8h4IwvU7/ZT0fqSy9hfbOPOHQvDvkUjQ8PJ9zPG469DxTSOO8tBi/PUE9obxSYIM9wSwhPXSmIT2QpuC8PQuAPQSdTjwqLh68xwnLPJ5UELwi9mK8nBnEvfQsiry6+Cg9rNP2OyZ7jb0yTAa9ECQqvavLjbyWFOe81hgtPdssAz2okji9glztO5ol9rv3nZg9C5yYPFu4Tzu7nT+9D2gYPdf1dLze6SC90hJ9PWbK+Dzgn7y8/bwkvYMTFT2xeYa87C0M 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 HvZvVx724xsg7grqVPbb19zqNnlu8Z6RIvWwDqL0upve8pJE+veZd1bwEN9k8crbiPZq9yDyZq4Q9/FqAuzOm5TyHso+90Ed0OzyYobumqkM96VEWvS+Mvj0xFI46l0Ebve2RGT1T6Vc806a3uxlXZb3vS4a8082kPYGo07zFtQ49g+IevUjOPb3IBDG8eQXKPKs5O71oEW09o7POPBIKA71eDxK95pWFO6y6vLqOZJQ8UlriuvLdAz0DflO9CnA2vRQFqzw+sWG93pYHvcXDKL3egpO93TCbPejgb73HK289yNUivRdLtboaqEQ8hr0GvSwxfL1UGHg9UzsSvAusujzMceo80QQ/vdDhlbyGDaO8BKZUulYGpD38PzK8jJBivZ339DvVVSO9Eq8HvTPLnbtBqYW7kDGYPON9cb2NRis7/HkGuwwfTb1eSrw8IEl9vTBsFT0qOCk9OvcCPRfQb7ukXuy8/tYcvY+6Tr2r1Um80iIWPNinzDvwpSY9XWnovPdqGz3M HUZc8+1CIvfp+0LwuDbM8zyo3PJY1rTpZdYy8StkvPccYsDvsrEC9F5XsvCZMvrvnHqM9NqGFPMvqxTw4hiW9MO+Eu40GyDzJ2Ze9plQJPRmxKT1cRTc9z9ISvfGAkj1i2xC81Cj/PNBCk70kZ6K8egBou1fSf70Y7SA9LpGmPdGUWr2cnO27Rq0evX/HWT21TIw9RAPBOwugkjzrlXY8AL95O2D/TjyQ2YC9lIxfvHcpLz3wcqS3r6v/vJCjcz1UY0I6mNhsu2HHsb2Zj0a9lvI4Pfe8jb1VHf28B+IDPVbRI70QOxM9Rt1YPJXwtzwkQ8s9ex31O+QYUDxYKy+9V9gXvWhkVbxfN7I5/M+ZOwW+gj2w0Ni7Y0FRPCmbfT1fy6m9IS+svIv0O71SvZ88520sPU7wpr0dF/G8rOJVPAc38rwYvd88tWCCve6oXry457A82MwVO8lBWb1c+by8dUwmPY0D8zwmlZG8kgXIvObd4DzoLYU8+BclObOFzbwxkjY53spM 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", "traininM g_traits": {"structure_gen": "Triangle", "n_layers": 3, "max_nodes": 8, "activation_func": "LeakyReLU", "epoch_num": 5}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1)M .getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=mM ap(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*M a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{consM tructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertM ex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLineM arGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.puM sh(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.xM >0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(letM r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertM ex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.5M 99,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,sM =25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,45M 3.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(M 96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVerM tex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVerteM x(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.M 6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.M 7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezM ierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertM ex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierM Vertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertexM (180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299M ),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,6M 4.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(2M 30.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.M 8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,35M 7.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.M 6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83M ),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,32M 3.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),eM .bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,M 312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVM ertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,10M 9.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.M bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezM ierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezieM rVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(18M 7.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,M 206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,24M 1.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),M e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.0M 99,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezieM rVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.lengtM h;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textM Width(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));staticM __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,M 1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.M m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=M >e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-eM ,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}functM ion q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],nM =o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class KM {constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguM ments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*thisM ._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",thM is.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,M "");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._eventsM [e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&wM indow.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidM th||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,25M 5,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentEM lement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(M e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="116";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dnM =!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}fuM nction _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#7M 22F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#fM fe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut]M [1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){lM et n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,heightM ),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultBM utton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vtM =createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitBuM tton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_M func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,MaM th.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(letM e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].lenM gth);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,M pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/102M 4,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(M mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${M Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].M push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);geM =F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(eM ,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st)M ,We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CEM NTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}fM unction Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,M l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(lM et e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs tM o",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=ZtM .map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.iM mage(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`YouM r Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*M le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=M rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}fM unction rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170M *le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12M Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(1M 35-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.teM xt("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,heM ight/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerM pColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingCoM ntext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,heigM ht/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return nulM l!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recogM nition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recogniM tion ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+oM ),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5]M ,["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",M 74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"ActivatioM n Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV1L 0c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b48406d0d4ba226","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_391", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 6, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 3, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "GR/YvFyypryeXFUM 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 9gzIcvFysHj0zOXY9dMdfPWoKmrxF1+s7TmADvjodO739Kt09vCSMPbTbsb0zOg+8pABqPNCCerqzL7w9P7hdPT5YWb0ufto8J/4/PWcYHD1hlao9Z9ePPbz3qTtaYZ29SEbOvSNtgb1v8fY9L3W9PbpkQL4it1S9vTQBvOQA/TwI8nM9wQyIPABUJzzE7pC8C9jgPAmgRjyH1gE+UoCTPUmdgj3BQsE8hqMzvrYeQrw2ukk9P56pPWWkIb68cVM8VUDvPAJ8WDoRVvQ9Ub5BPYV7N723mPQ8RpaIvH7LEDzUebk9SPITPcHTHz3KB248YDw4vpBFhL2g0gA9bzHtPS0yFL5Bn0g86GUQvLQvWjxuMwE+726KPYM4S7xeeOE8JnPvvDqrtjx8M509l0qkPYyVej05oCi9C9MwvhzA77z3+h891rHqPRFIA74Yh6C83X94u+5mq7zcOEg90sIpPZ4ETjp87wY9PZemPL5QoDyjVfs95VY1PI7jjj1cBTO8ycUOvjRM 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 86bEkPb/6NLwQLtY9iBEgPRqdv7zznqY8RpolOHnW0jy7OlY9ozurPMUg/zyjOyO9YagCvnPLprxrZos9wSN6PUm0ML7xxFs8Ke/8PKwq9bwAyHs9rgM3PT4ozrz12SI9kJrmPBH4D7nS5dU9kYu+O1Z8Jz2N+lY8LZe7vbXQir2pDCo9bcWwPYkCKr4c1zg8uuEqPSMg5jzAmBE+69d5PKqQ2TuLoO88690UvPqdOr0QBQ4+RvCHPUZQwjyB3jW9ITA5vihboL3aGfs9aUzDPSdH3L2mzuK5yFTePLNT/rx7LtI9fHmjPWr9pTtc4AE9w2hIvEdWijySha09f971PIrAgLsW24C9XNcvvmaCfL3yZF09ncH+Pejr8b01Kyy8iqt9vLGzRTqlj2U9wZWaPWdYXL2MVr48Z4KHO/Uasbyq99Q9MFqdPavYKj26aIO9Qy8qvtWVkb2EjuI9/swaPbWoHr4qcYe7ypU8vRgTbDibZD497QSGOsaj0ju2DwM9HqnZvItM 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 fGL1a3jY97pJSvLLfLT2OWv+8ON1evYtUljw5hIW78yYuPdMz1T2OCWe9MWuMveAE9btp7Fa8TDIOvnk7JbzDDgm8jNOrvEZc5L1GmIg75tB4PaU9BT3Axtq7ghafvX/BljuONSA8YqBjPYk8gjyKjXo7ZeT8PLM0bT30yvU8RO34vfkAULzetIO8C0msPA28y72vdjo8lJt3PX7wED0gGZC7GGB9vevuuTthhxa9PaQ4PcKOtTwu/bu83LIZvMSAHDsjtQS82MnivYOHwry/+K+7LVqwPL8PWr1g08S8IQO4vEoblz33Hh894HWlvEGUij3pVI88YT1jPB+aFz107IM91IxHvJ1nrTs967g6bysLvveC2Dx4WBY7hKguPRcM0b16gHs8NTm6PMYWXLvnvk49mlwrPaSKkzuagQW8qtFuPDvhSj2mAwk9ikDTvLGaED0PrQ09MmAQvrLtszz2YXw59/qkO5vzhL0MJVG9h5kKPVdePDz5PHo9SJO8u/vvfz13pqmM 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 7ej0ePaLNbb1sY7I8poJUPThI8D3o6Co9/vMCvLvg8L2GY2M8kIdzvCmvDz5mRSG9lJTuvKCOj73jNpa8pJA1vZ5g8DwtFFW8cooXvSANkb3Y8Qi8JheiPaBK3D1rx2I95CW8u+74m71zegw8+oXKvG3gFD1nPCm7hmEavb6i27wOQb296+4VvL+YZL0/wRu9pRx8vS+ghL2W7vM8P8WePfKECTxp/wA9lfVFvSeLV70r0Jk8WYzcvHTKlD3ItsG9F83gu+M8LjwbQ0e965yivM1nAzypVTe9WCGJvbRFZr3UN7Y8QyVmPDJ+uD2NejU93PTOvaahBr0v4YW9NvgIvb7ygT08BAO9ZJl1vFFdFj2nPpG9ACKBvTaXyrwfscO8j5oXvW3aYL2b/f08qn0rvHYYmD0s/xE9Qwbru8lHX73+oVC9m3hwvVv5Az0LARO9w/jivLZ1kbtgdiq9Svs+vfnArDu+UuK8jORWPZkvUT1X0zO919d7vFW1jj3lk649TBhTPOwM 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 8sfW0vX9WtT1XbAc8AgGkOw7e0j05WSm9QQdUvW4jjToixxA9b47Tvfy4lT322d+9UuyjvWZWmL1eBIs9boVHvR1xRD14vpE8Bre6vbE0ejx462a706qQPU2tED38JGg9lPcBvRd7ML0fYIk7GvpuvZKPNT16MgW9zV3BvRMExb124H89YsOJPbc7J72jY1U9kj69up4o7jtX4Cs9ewdlPdFrOLsCuxs8ha+WPOhC4bzlseI8urcIvj/1tT35L7e8ZCXlvGGXvr1wFCU9+mCQPVglgzwKv009dmNWvTry0zxaI607WqObvWAv0ru1v3k9hK0UPfZhV7yzphc9B+9gvmc9YTxkYAM8cCgOPSzSbr1n/jU9jpmSvfoNIr1zprg9+hJ7u6Lt/Dw4p0+8BYWivYWB/Dvh0o08OoSNPTnGaL1JKJo9HbEfvlRERL3GbKo8Y6HSPHwxpb30PkA9ws0QvZZCO71dibs8mw0HPVcJm73utsc8R5udvQB+jL3O0x89UtB7PSCM 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 8ezwsPXeX5zsykcg9OA3fvUeHs72dols9U++5PRS6Pb0N2bG5sw7Pvc8a/jw/n1c8+oDjPXqrnD3NuQg9cKYrvu3/lL0uuYG9gJe7PQMel7x5Wq49oAWyvVGoU72aDgM8NclHPgeElDwypOW9m7BjvcDMezwhXRi95xRkPs1Nej2hAIK9g58Cvg7ZAz0o3dq9oacsPThdk71ivPI9OfJFvOYiwb0x3au8ZTIVPdNBzjvXMTC+Kln0vdQTAD6e+Oc5wWW+PYFoqjzeNjC+nZakvRTKBz2v/la9MgLeu4jd1r27Ss48mV3BOtksozyand68geMmvWuyeryZyx2+alglPIjKRD5UgoW9ODWwvMlJk70dPay9hIBSvW9bTz7pTIa9d//cuoxXsL0J4Me9UfiaPe8BvT2zOIw7oWmnvb46sL0Ts8c8VKDmPX/IAz5wWti8rGcdvj/6XL1CfZU8ZBJFPSqDOz4lb9i8o2pTvZVgOb06c7i9p4McPXOcHz6rYMU8Qn2EvmnM 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 bCjphb9I7COGOPW7oMr3y4Ac86ozEvNGZR71zFv87/n98PTa5xjtvCEk9VeSIPHaIjLyVrX09ylF2vT+TJ70Alm+8277NPKGkkLwHDtO6crTyvK2PCD2KCRW9bL9hvVrqpzylKgu9acU/PfKdkz0pC4m78pwMvM+97LyETqc9HwY1PVE3e72+nK09WwzVvDbtC7yP94I9iZwvvMj9jrwsk3i9h8aDvQknHL0CCuW8a/vfPRWm071m7E49+2mwPRLaTjzvPaQ84TCcvXAQjLx0bQ8+gqXYPUyDuz35vae9RbiKvSOAJL1bkwk9pP5QORX9uj3n1VC92d18PEw9Ub3gvdc9N60APq+Urj2iH348Yc1cval7j71PeKQ9OuJzPXBZqD2aVJ089a0+veknFL6zIqU8qDiBPTNLwztFksg7oh6MvBgUCr2tp248OEXBPSrS9z3sSbM8QWpKvVdz3r2zqXM9JgaSPX+5/j0ijVQ8+gYevlcP+70XJVm98WuiPdGSO73Kjb0M 9mpI1PYlA67ubmoc8NL+/PWjjV71wfe+92I2LPQ54tT0yMEO+vDM/PbTZHb3Nhvi9xt/VOoDKcj2UQ22+DozBPSa5ib0bhK+9xJnQPZP6Fj6gBpy9Ni8BPsiSQb5tto29xbJkPorzez5NaJ++RlLYO3EdAr6UQGm+McfDPXLjcj44EJS+F9AkPXi8F75OzwK+9SEKPmRQdz7PqA6+CWcRPrLkML5+0BO+FUcUPpuN/T3F0BK+LPCdPaeYt72tJHG+TtatvJXOfT7xth++lT5yPWpeibyqLH6+On5FveySPD5zXhq93r1lPWbRAL7lCH68QzWsPTHGzrw/+oq9eZPmPQJ+bz0/2we+p34dvsoiiz0NmO28ecIjPVfAQj6BJoW+59FzvvvTzD2suQg+Y3S2Pe5fYL3GgGY9OFqbvKNg2r3OZQ89/AHVPbbwuj19iMg7BMwxvoMANT2oMJO9V/sIPTLDzD04x6K9NpoSvu8DzDu4jAo9mHxfPZxnjr0Rfrw98+aXPLKM 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 yRj3MSy29oxmvvZLaor2Lxgq9ePaDPV10x7w3gy+8hzGcvf8Uvb1nD+48/cZ0PYoHyb3DLOE8dPlmPTr5mr0Me4k6nMlfPkEa5j2+qPe9/9h8vnLCkbwANx4+b7EWPr34zj2wZUe9f/pevq1zAb0aalA+xQOBPbyxmLonmpY8zwc4vYjbprtqDQ4+fesrPu+LtDxlQrg9PnMCvgNAB76nEMk932oOPkNy0zy2iro96uofvtlHB75tWC8+hen3PWcKib3HazI+kgYNO7vw7L2GqQw+GGOqPRmvTb04Tr+8oiIQPWnaJT0lXr28l0q9PU4f8r1GTtG8WmrdPYgwfTx51Wi9d72NPUoILb4SFvk8xOoKPpc2qrsmVYA93jABPBHcZT0vSQK+YM4PPTemwz1byu69RqUbvdpgC72/UNS9aiebPUMRJT5kOIC9FIuMPUks2r2hDOO9zN7BPeZNEz7Ll5k8o0gBvaGUwjyXB5m9SbKiPMXZvz1WOHy9jKa+vIh7C71fx52M 9845bPLYTyD3hh8W9e7CrPFf6Cr2SR6O81wT4PQoAHD7suAY9AnmgPcKK5Dw5GUi8EMY2PNmWCb3UOyu9u6+QvId5Bb2EhI09HwCQPXaOkD2x4Vu9xGUjvXhh2b0VKcI8+yBEPjbZzD3WaLI91k9BPR83JLuxEgW9BPpOOyQ/rb3Cgy283fPAPF67wjvoyr09ppZsPVdIQb0w+T69RqK+PCAEL77u/sQ9lpIlPguUN71Cuto5LjyaPao+bj32RmE8/LBavcoVnbxXTw+9eU+YO7NXPL2dXfk97qnEuw1Aw73j3ei8yOSIvFxL+r1qTi4+4SGoPbrSmryvKio95BlbPb4sz72wvME6P+mWPcNPDjzSVuW92+5QPBaOKL6D5cM9LpMNPj4K1LxEVK+9VFiHPLAFJb6nXyE+q9E0Pl3TkbzN82E9OlBwPGu+hjzLPlm+XpSxvTvZmj1HbEG9e/X9vE/RET7eVI++bBlJvtdPkT4tyM89/US8PRnnrz03vIu+JGXWvdCM 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 Yqr0v4hy+ZQh4vTiZA75PgMU9ytdAPnToeb3Wc7i9fcVmvPqQQr5Qjbc85WsbPtounD2E8tc8gzUuvB71ED0iGMm7/FzXN8b3iL3ABS295fu2veCx9L1dfCY93RSsPY/5ArxI7Ti5puPHOsdimb2qDXq9w9PHvIVqPT0/1Pk9VckIvQTWyj29z5W8KTd4vW2wzL3u8Tg9N4+qO5GQgz0TpgG+mk1mvdCFKr226dk9alyjuwu1cb1Dq2u8QYXQPKIkBrxSeYA9xstPPuXBU7xtTrO8gIvHve4gL76Ht0Y7l5nUPYpwwbwyAgu+rbylvTDXDL1GP6I9/9SYPBKDijst+cW9zqm0vXFsU70ZlzE+cShNPsYZ8j3N2gm+qThqvn364jv6gQ0+e1m1PUNgBz4LREi+ZQGvvuHEtD2MDWo+6+6YPV9cDz42my++Uk+KvpmUSj30FYw+TkiNPQjWfr1mMzQ9SgtKvWEV5b1dSFo9g6ByPMdGGDzsIZs9S5dPvWGG57zzL/YM 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 Zhb1Jd609zJlxOyO9bj1SYYG94rUTvahbdj1jozG6EgMLPdq3HzwlJGO9TRB7PC5rbj2o5yU9Fd7FvWD9Rzv5YOC9+akKvZ5DbL2t0qI951SYvQrwFbt70OW8kdQxvFMtfT1LZAG9mmGbPO2UsL2nKMA9FG4tPYyWkD1mYpq95+hUvdN5/72BPaq788QDPTlEnLzyBy09bKVkvfvYILytlTk9Es+xPbIUPz2zXj29unTPvYu8w70s0QQ+8xQrPht7yjwlO5K9IiuevQBUAb7gnQM+A3f7PSDqab16fZ291sGmvSQAPL2X3Io9eDACPogIgzxvCwE75yT2vWwbAD3CVzs9mC+ovJ9pL70LKsG9HIf0vUC4vLzH3qY9MMpVu0eTvr0bN4S91vhdvWeKSL1q3aA9c8LbO61lizzKiQk9OUajPR9aCD4GCba9PHbgvXfd2rwlBow8ppSKPfNcED3UouC9ECqqvYQeuLyBBqw9bAQEvOBEKz0Cn7O9lbj6vFb0uT3tVKIM 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 9a32dPO1Svj3v+yi9Z3NdvS80ET08GTk9KmebPWEJUj1wQ268V1GsPKhWvz2NqMA8j3yvutcKSTx4Zw2++OCtvAskh71cs5E9CVfRO+AwgD0647W94H18vfKjyD3j3cg8NfLvufP/Az3sHPo8j2KsPCFqmj3Q+0a8JHpUvL6SPb2zGla9FkoIvUF+ZrvVSlY9/i+NvdzZKj3G7Fq9SqMgPNSTpT1mtVw8tWt/PemKRL1Prbu8qxApPWsKtj18oiw7L06wvaCIwbvLruq8DXmwvFgyqDtErlI9hm3PvSm4yrwlrO680gykPADCmT1q1yi9DOMRvLeHwr35LXk9772cPZPZiz3d8AO+GiTlvb9M4r0MiFE9VGVBPcCYKzwQ2Tu9dHfFvXhjf71lIZo9Z0GqPT0UqT3ydaa9ycymvd+nab0ZSvY9IabpPZeGFrzlUBC+xq/AvfrJ0709dYQ9rKr2PaTVuL1Td7S8LpK/vbkm0b0V5QA91LmGPQx2rz1045O9iH8hvdYM 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 ijLym/xU88xPQusX5Aj0BXwm9fVPovPoLAj5HrTI8HKSDu09+uT1LlLG8NArPvEHiAD5YxpA9pqA6vNgEcT1Ps6K9wp8gvhAVJbyEw6Y9+aqmPOWYxz1eMHm9iRBHvBfcUT3Z8xG9uKODPTIRrzyQqKC9hEpBO4gLBj6fcVs8k7Q6vQi9pD2PRJW9+/zQvYc1rr1WMXs787d2vRllQTsLnUy9VhWWvWlUvz342Io81y+qO04BWj3bmTK95+/Lu8cfAD47SeW6rZc+vVt85TyvRt+9+szTvYaaSb3d8q49DCXgvF5P7jz34jq98rYUO60H2j2t31270gWtO371XD3osPO8LrwFveQF+j2rKqY8cm+TvYyi0jyPP9S9GOEIviIAub0rKao8F0SSuwsOrz2Qbfg8GY4cvc3PnzzecZK8elxDvUWDA71Oc+e8aZCFPX3/eD3baIU95IMPvdGGxDscMYm7hjmovQwW3LziT7A91F5dvcO5iD292Ay9Vly9OscDozwwVigM 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 Xij2Yb7O9jh6DvWMltr3dSpw96pB9vSW1Ezzj20Y8T81IvQhDCTxF/a08vaUdPY0r0D23WSO9YqYBvUzZ+j3lgSY9rCAvvbM8Zj2dsGK9HYEHvurx5rw36QE9K3UIPBhyDT2pGrG5G1l2vcMetD3JwAu9FyxPPFwE9z0TIrO85vUtvazClT1ySUs9mm2rvc2a2z2L89S9ysISvk/TnTs3tQE9oa0hvZBoHD3w+IW8gfeKvU0XTD3K/js9PTYjPUTP7z2gXmm7DyOavVrPnj25CgU8zQa4vY3JeD2vhcO9aRrgvWVbib2hiGg9rHH3vDjivz2ZRk694xjWvIM1wz3lOYQ8gfkpPfdqIj0Lj2A7/jCcvYfz7D255Qa72iYnvSULTj2L2L69v73FvU58Hb0hgtI96o4DvcBCrT3By7S9WZiBvKBzVj0/wjo98afDPN45CD3dm4O9QzucvUgDDj4rgzc9oat/vGWBrD017cm9emcwvo8LNDtbmcM9/foTvUUbIz0+f82M 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 HnjxouxC8wxe/OzLP6T17Zj29AKrXveH+7D2rNAC9G6wrvYGZ7D3rite9BpTWvQ0QV72h8ek9K4R4veVkpT13WMC99iosvUU3NT1yeWE9RgQEPhZL0T3iO+G98AdLvX6GEz7+lj89DwqUvP/CFT7cS0S+M1gTvlCZL70CAzY9rwwNvPjTkz0qD3O9HzhLvUCemT0hvIo8oV3WPb59wj35LPS9exyvvcep+z01flY9lj0WO9At/z0/+wa+Sir/vVB2dD3gioQ9asMOPJ7c5j3Sb4q9+WT6vccBET5xbeG8BPnEPDbdEj42H6G9B8AFvuGwJD4NjDs9AAowvekMPT6bb/69nlZCvplC9zznvJw99B+7PKLr8j2UaxK+JywMvrIKSz2dMSO9MlyEvMc3jD3G5ky99hEKvh8vQD6lO408Wx8gvYiK7T1UYFu+UdIivqxdAr1c83k9MigcO6HzHj5K8cC9ICnNvdQFHT6naBY9EyqoPcQi/D0x1bu9cesNvimqEj5ZXB8M 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 1Jz93f6o95gPEPiJEsD3RHoC+JLfyPj/cGr+f+w8/1L65PeyLcz5osoE+cL7/vS2K8D2ymEW/29wJP8koZb+sX8u+pL2Bvi03Db/IRxU/Ou09Pxe44z6mxiu/dgdDvrvUfL8K5Ai//BTSP2Pr2L51Cng+nLuavqYSCr+mKdi8SsZ+v/1CEj567fI8z2LePBIOhL2yJji/+qM/P3SqIr/xqlO/L0rmPiojuD+EmHU/cJMqvU3A170W6qq+AmlRvyDiV79oSw49mmg1OlzGijrqQmy/jgZCP8hJrr0BT1S/YIaZP5gFgb4zTTm7KAMLPVi/f7/WScS+a2UmP6ULBj8ryEM+dxiWP4AOSb2PN6i+XgyeP1Qbhj8o+72//933PQ==", "training_traits": {"structure_gen": "Regular Triangle", "n_layers": 5, "max_nodes": 6, "activation_func": "ReLU", "epoch_num": 4}, M "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=36M 5/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,thisM .stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeuroM ns(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*tM his.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=M e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1M ,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;eM <=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=thisM .wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}functiM on I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,6M 4.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,18M 2.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2M ,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.beziM erVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,M 12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6M ,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457M .1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVM ertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bM ezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.filM l(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79M .1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172M .2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,M 144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(M 190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertexM (236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.09M 9),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.beM zierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.beziM erVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256M .8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9M ,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.M bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6M ,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,4M 14.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertexM (150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225M .499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,27M 9.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertM ex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVerteM x(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVeM rtex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7M ,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),M e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.M 099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299M ,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599M ,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>seM tTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&M &13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[eM ][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r}M ;static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.sM cale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currenM tOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);fM or(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":retuM rn H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=M q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){iM f(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,tM ){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensiM ty,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2M ]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this)M :"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=M document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"M ),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function()M {var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=eM .type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.tM ype)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="392";let ae,le,se,he,ce,ue,fe,de,xe,ge,peM ,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeigM ht;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(M ){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221M "],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"]M ,["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblM click",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ueM =0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0M ,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt)M ,"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(JM t||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,M 600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);coM nst e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex(M (e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<M Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){lM et t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),M bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;foM r(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();GM t=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let M e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=M Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floM or(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.M rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,hM eight/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),JeM .textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,M l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),M 1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),UM e.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170M *le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BM OLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fillM (xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stabM le for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,M r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):sM >n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.puM sh(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(M 15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.leM ngth],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.teM xtAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0=M =wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3M ==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.M push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),M o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.reM sizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(12807M 5)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence."M :t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is M decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=M height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["StandaM rd",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["MuM ltiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning FrM amework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b4840c82c2ea244","version":"202Lu3.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> DjB=:ETH.ETH:0xa9bC7485205D8Fc83800a3c644D0e2ddc1d17a34:1172861076::0 KjISWAPTX:0xa37bd0cf2b9cfc21ade387db225793252cf79671597ae42bfef36d85d27dd201 FjDOUT:C4FCC99CBE84078CA76C16BE20C83302C2E7E2546E8998F9178584AE5A876B68 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> %!'&$!$#).;2),8,#$3F48=?BCB(1HMH@M;AB? ?*$*?????????????????????????????????????????????????? text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_545", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 5, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "relu"}}, {"class_name": "Dense", "config": {M "units": 5, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "zxRHvBo0Kb38Oq89C3YUvMw63DwuYVe9vK19PSYHTT1xXSk8BOnGvGm7lTyXIIC7k0WRPYiYoDxnrOA9WF2ZvcjMUDs7v5k9t7OVPdj8hTyC/nm7I6qVPeZ+Bz71uUa8uzrJOlgbfL0Vrb088tZRPfhutz2TUTE9HA6GPM9uk73VE2A9na/svNB9KzzLvLU8bTQMPePEEj485Xe7ETVVvZd/zLxyuvI8ygDAPK6+sD219/k8AZlIvCR5jjkM 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 sveOxYj0HSsc7hnUBPq0wnLwZIf87A20QuwRIQ71t8a49OyAQvBk8aj0IAbO8IOZkvC8HVz7ZinQ9p3trvS7VvTsgigc7JjQCPjQ4oD0dxX49s3rkvJbMR71uFAQ8opgxPTLGiz2Afws9ysFCPfPs5j26Jqq8/vsCvQHxM7x2lVm8F/QWPY3rnzyQfA49/yk0POOSD71mH3s9W6PqO9n2Nj3iph89ZoPFPXLWFj4Yb0Q9CnJkvQiiPT2YpA27HZGrPOgQmD3XPKI97Pg5vX89V70tOIM9EW6NPIVrPTzeBea8wGyDPLOb8D3jz2I8/1n0vSrJpruNAvA86guXPciu8zwcZQM9ZQQbveRNq734EhU9aNS1PBiO2zwyyYm9+SEAvTmx/z3+Wjk9HkDSvT1z7byjBGm9a9znPeK5TT2uM7A8TQEMvQZYib1y8N08ejIrPF9uRT0LMMc8TQ48PYa9sz1N/OA8sQDSvZdgwrygaUK9y0m0PaiGKD2Kp7Q9ioqIPOSIvDxM v4Ig9lEjMvNyCBD3YYze9mE+ZPWkQmz0U8IG7bH2EvfhMID0orKG84RJmPQ736TyL2/k8sVTNOyUVgjuwr6c9VO69vJodP7tKBUU9vRKXPRDmKD5AEsS8GhvWvT2IGb10Cr48ozLqPMf+DD3WOII9DSOTvQeKmr3D7tk9ROiTPFkrnD0lVBM9vPhpPBRYKD4LQF09NypVvZ3Lz7z8Roa9PeuCPWu3AT2oQoo83R+EOtWZbr2QTWA9Tst+usYCYj32j7q8DSSIPABcFz6bx6e7PQk0vYNWNTycRpO8PGUfPmBl+DyCI209Sn1qPDExvL03Jck9MYATPC/Npz0YSSa9xVQWvS0HjD4MFO28ewrivWyz3TzR4by9hgEpPvbUcT10nD49YuWmuzAM1Lum34w96+kYvXM4GDxgvNE6H40vvemqkD5Qa8G8URoevk9rWrsfwGq8dYkgPj6ZjD3clR28/KlqvRA0/7waSek9yPdBvcWlkzyX0lO9pjaCPSBgXD6/dfu8BWeM uvTUbqjtV5EG9CI45PnmkFT0sEII9Xv8evdI/7bzmZmc9O84SvS3aBDxxPPc8hIqSPdLnOj54LNo7yGuuvUdBAT22DS29E5DRPdvxhz2jSAM9md/wPIUhhL08D6I99T2wu0HVkD1fbnG81WKYPQ3DLT6D9tg86LrsvRWEXTygtYK9regGPrE+2jsBzvC7MRiJvIbESL2f6LQ9pr/JO5VrnT0b5468jUtrPeeVHj4WXRC9znDJvRW4krzGTim9qEYZPsMrLD3cqhA9ttAwvfbfJrwGRA49xKKOvJSD+zz4cDU8o/9qPZtLvT1bkz69Tqu6vYZNzbxeG9w8FXvmPTgzXz27XPE879BhOzsZmrzxHEA9hFP/O9MFmz1Nr808vOXJPVOUHT63Wew8EkyjvUlpfD0sQ2o9jpTYPWGU2Lsuum09C00+vbI96TyNtjY8YmFaPQSsYT2BhfS85eXBPXuCKT5uJSs9SFjLvWoGG71vbD29CSLBPZaDtTyPXGw9QT/RPHQAD7zM 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 F/oc9yeh/PT/CpDzkVhG9v41LPZSmED76Dzi9xknMveZVVj3u+8u8sSEHPrgfUT0Xs8w80dLnO2Q4Dz0ws6s8vCLgPIHUVzyndh47eVGqPdgAwj0AiMS64LWPvbtLhT0Bdki7GbsLPGdHYT1QSd89V7iwvC3Gfjpqrie9I8gfPX4lOLpOnU48VLZMPXI0zz161Ry9wapGOweJ07s5JNO8mEIwPSnHDDzfb/U9FiWhvSIRjr0gETg9+1ZfPSqDKDxSMhG9hAvTOkIv4z2how89sB0hvgq5ML0dxA29HzlFPQyCtjxVcIe6D41KvTHdKLyn8L09mlZRPVQf6Lutg+K8U7ilPR+SDD6/w0u8+kW6vWjUAT0JiP68K2MvPZ145Lv/i8g7M/wHPemMm701TQw9vYnTvHJmjT0fh6G79mQaPV/Oaz7SVy4813a5vZjmgT26wuq8iKDpPUh7bj00jL48zcc9u0eI0L03VHM9F6msu90rUrx05OM82eD5PBlFhz7xAfy8XNMM 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 ou5bRqD0xz4o9aH5MPbW3Wb1fn9M83qmCvXqxczrQuF49/D/yOoRdDz2XdOg7uqFuPUdZ8j2jN5K9JBtBvBtDKb1quiS8mpm+PSI/MzwzbLI9c1mpvRHaZr3KCF09GE1mOeTquTzhNL28D0AIPWo6BD64vIC7WTMxvb5aBr37pwo8TdhTPTv1JLzyct893wiMve4fCr3Dw/881H5SPHEyD7wNMQW9a6xePfx7MT5wCLo8qNeYvYwxNrxnuJO9SOY8PdGkB72GXcU9QQOGvVAmHb2u2Ns9OontvEHUND0o2tY8aM70PH8fST7PV7w8MBCUvfqQHj14LUO9DnkHPhgptjz0s2A9IlYOvX6Q3L0/Tb89kkqKOqcSgz1tuza9tXDzPAIGgD5mMiO99uiyvWI46DuprKy82x4XPlrA2TzqaHQ8SvAovZXkerw7lY4940QzOzIkDT28K5S9NIdMve8Liz4tKdU8NBLVvf9H1DxFBkC9PBUwPtVUKT1YWAA9Mx4YPBP5nr3M 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 vJOY9gV3lPSBN6Ty2z469OWaGu99hLb3YaGI9131wPYD4N70tk3E8aX8zvI7RIDx0Nro8nBW8vQV4kr2tiDw+7qivPTkb4LxDZCG+tTf5vS4wmj2mJPI9f63IPF45lL2xKy09ZdTrPKzk/DvQzV07sTwMuyCOcr3Yr5W8R8/tPZPHjr3MXQm+PA18vRK6LT2f0zI+lpJpPSJ+P772eC+9iPeEPQvH0z1hVgW6HnwfvmZSJD0yjlm94BJzPjo79jy7q22+hDLAvT/KT72MGqA+FF9gPJf/pL6iii2+ZXcDPjMufj62PXG9S6rRvdPcAT7QAxy+NUVVPkbAOD6Hco2+S26/vM0m0L3Ulo4+3jfiPehix75iES2+NkaePSeLmz6g2bO8Vcx+PFTuWz717Pi9fC8Jvdk0Vj5uGrm9GHqnPYk2Ar6OJuw9sAczPpYnLL7W0gG+7F2rPLaj8T1uQiG9V60TPoo5ej5zExi+DLYDvhOgHT7xm+w9yAYNPm47jb46Kni9uPfM 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 V8sE9ceURPUyay72dLj494D0ZvQwkmzvyoV69gouxvWyDBT0yQcM7G9SxPS/mZ7yHWuO9d7BQvaQCR7xgnSQ9yzFUPKL9Yb1poM88rWQhPRzTub2kAtC9x5aTPUG6Hz0oSo47ZVEzvVhXT7zsDAY8apuTPcNjGb6BG589EedLvAdJOr5BmWA9RNZFvgmO+72ttIS84PsWvb1TVj3BtNy9WFRQvPpjc7z/+ui9QaOHPVeTpTwP8qO9cA1tPa2oVruXODI9oOAEO6urZ778mQU8yoVOPZbLED2NYRg9KebrvdCETL1Ui5a89z5aPaBWCj2WOi+7zDJPPWmMgz30sZ67jmllPTdvz70CwUE974nyPPsWir0QATO8BOlEPfy59jzbuXS9q1oHvuopnb0cCBQ9BIbsPcJImj07gFW+wgNtvQFsQ73EwCs+gzcSPf7wKb6mB8K9bpE2PbKZKz6eZUW98mPsPa1rFbxWj4u9qAIrvquh5zx/d/89M08vPsUuL767lXm9anWM 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 vWSs9molfPXwkLz7akxa+/jZqPReCCT2O+0I9sEmOPenTkL1O4dk9hcJovDuDJL1rt5c9dyytvP6V07u5iE89iZONvZXAubxCba29NS7PvMfeIT4IqRE65Si1vTsUm7yBwTY71HPrPNT0l72khjg9wVdePdpmdT2G4fw9qT10vdRSyD39AXI9JVyFOlkogj0cU7S9KY+lPTnEQbvlNZ48/KiFPQ3ad71Hfx49SvAyPWe3oD2kFmG9qcUUPc64STzObgS8veGpPUac/L1fTMc8UvEPO87Sn7xrlvs72AkOvnGWLb0+vwe8ud8wvT/Mj70gm9U8F46SPb6FEL5YrHC9sVBkO5gNnj0HQII9rr15vWhgR7y4lSe9bVNTPJzvkD2Zyqu7IjXIvRx+E77wRtQ9tExkvBTl0L0xsKG9nSLHvf8s5T2eMug8kuWrvaXRoDxnQ+i9nRl1PZRo6joH4zY6pNXaPDhhu7wmRKo8gg51va6vtry7LEk9HBy/u875gzwXbUi9DkjM 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 kPHadBL3R3sA9KdtgPtaNIb4u9bo8oA6fPDjjgb3pxz8+pTWyvbtPkLu9QMU8TIHFvVXNRz7+Jfq90wMbvnT7jDqpqW49sC8APqG0IL7f+iS9zA/JvSm8V770QIA+Z3gOvbqZ7L1btri9NLCtvrGenD4R3Ui+GnAYvrWoPbzAaNu9xidvPlvBMb7bKSa9BgBlvfj8sL2PTqo9v9BwPB9fybxRNYO9RRFAvl/HsDpk1Ae+kDQkO+kLj73QOSu92GXJPUqx6r1oTJ69F9DHvTOPbTxVAzk8salEvJK3bbwprwc9Whuiva8TF750bra9eEAlvUWfk72QsZC9SHtdPR19qL3tcBy9shebvAS0Zjswjk+8xjFtvRL+Vjzbxcc91jSjvZamzr2R6zC+edzAvLutQLu7Ao29hsCQPenLJr4MEo+9MCKNO/74RLyiqJM8DJiZve1Gdz3aXjI99K0SvNk88LySm+i95c0AvSCEcjxnxvi7YrGcPepSF750WLu9zaI2vUBg9j1M 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 IPeT+l7y2vUo9X+Tdva608DsWkSW8ZMEsPDmVsLwZ0/09cEOFPLLepb21iKm9StnAvbknxz3ji0A92XeNPEqXWL1OC4G959x1vHlOgr3LISW9Y9lZvM2e3r09c7U9cg0fvcAAbr0zDyE9r6j7vbc25D0oYfy8vZWYvWwwLz3mcKG9sSeQPJhvtL0I//68Bq3GPRWbwjvzaQ28Z2lhvbqO3ruMKJE9pZSNOxIXWT1GU6q9biPdvP13tTyGSMM80fBUvIuT2b3OksE7U5KRPdkZQj0CQsW9SorcvHvz+Tsm0hY9i8zWPa29rr3030y9pcYcvOxeHz2ClUQ9B0olvbDByTw6n5c8VvMLvRM6qj2eRQO+3+O6PCZgTz3ujIE9BmWXPd4K+r3eiJQ9FFRHvYJbPD2ViFM968IEvrpJyLxyKrE9xiIRPUDAOD3/lbO9mgcxPd6MDj1DkEs9Yo9yPeH7+L3ij4s9Z0+NPCrXkDtLtl68o+KzvQGASbxhIJg9wrm+Pc/lpD1M 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 K4AW8OINzPIge4r17Krg9amLuO8KxB76389C8RTmcvZKnUD2aGte9EVtkvYt/RTyV49W9woZPPadrDrzOucm9l6QIPX9Lv7wWd6M92DLhuoXICL4smIS8o1Pxu3w2wz0siIC8/OojvWQ7mrvleGq9dKzZPLGYkLsvAai9s500vL0A9jytlQw9H1SEPWQbzb0QbwY90UGiPP/YWT1h+RS9eqQNvk+BBj0ecf65bVNQPSj4VjyVjO29H7UHO4Cvk7x11Xi78Hg8PbUPLr63gRi8gYFrPaGfaz28pzs9dvEAvf9iqroQ0BQ9+Pe6PM/YBz1bcna9JstauQZEAL16CqA8cO3PPE2PUb3YwXk7Ug6FPDA3RLww0xq9sWyAvYWnpDzItO28vbe5PFl1bTyWeuS9bctIvbv4IT2c0Ms8b86+Pdf77L38F0e8yDvDvK93N7wxtBQ806+qvEQq2DxO3/28Ea5ivWndgTxvvtu6uTTOPAT7sTxXQOy8wCLfvG0FCj143JC7IOGM muxa8Vz0Zbt+936wwvQ8EPD0n30+81QyxPOMKjjzZJEs9cg9ZPUfS87qrb4K8UNVPvTbYUz0QHjm8+dPPvJTQLrsrTPK914BOvaYhBDxddB29lUAEPaGH67wSj+g8OFsLvSHD/Dz4Mo096RUpPdOVxTwIEAc9E+DmPAYmAz1WEki9dq2vvAAdPb2qYZa9qmZpvMez0rwHtYA854ljPDPal70gcsO8nK+evdykUb0o4pi8DCQAvk9biT190Oe9aFX7PCFLwrwCMsa98zxqvVOinL2+rSS7P1oRPWg8q72rIgg8KKlMvVHbqLwvW8Q56gJTvegTUT2PdNK99rmNvXoebrx8KX69py1ZvcUxGDx7sUG9M3qhPKguPj1vpns9V47+PbEU7r0acWg9pDmsOzyaTj3ArP28nr0zvW9CNj0Bdbc9ehxgPXregD0cQ+m8XZxdvbToJj009LM9sJ+aPScS0b0ge6c8zYPXPFQ2gD16WIk963DBvRQALLz++yc9FHK9vLLDODxM 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 kvsLlUD89SPe8b7ATP5khDT1ou6w8A/EdvhAuLb5JX5I+3YfXPl6DVL/108A+W8K1vg+QR705LGu90kegvlt6Qz1tr6w+G/iKvyWjFT5KYLY+HL7FvokxGz/egIQ/VkgPvk36nj5pwQA/l2KwPmHGK74EK4S/j6d4PxHDNr9+F5+8pt6yvg==", "training_traits": {"structure_gen": "Zigzag", "n_layers": 9, "max_nodes": 6, "activation_func": "ReLU", "epoch_num": 4}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){M const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;thM is.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextM StateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.neM xtStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.M stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,M e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;thisM .nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.M 001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(M ),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,2M 4.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,46M 8.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),M e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.beM zierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,M 53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9M ,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2M ,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,38M 0.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,13M 3.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,1M 25.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365M .1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.M 6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,M 174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),eM .bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),M e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,M 220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472M .5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(2M 88.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVeM rtex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,M 41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,1M 13.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertM ex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5M ,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1M ),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(M 95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,2M 08.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,M 414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertM ex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364M .5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertexM (279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.beM zierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.M 399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.M 299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertM ex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t)M {return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;returnM new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy()M {return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unaM ry_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)M n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b)M ;return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totaM lNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)eM =t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("ReM scaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffM er(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguM ments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceofM HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elM t.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.stylM e[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){returnM !1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.fM iles[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return M n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("tyM pe",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("applicatM ion/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=eM ;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="546";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,M Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createM Graphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function SnM (){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313dM ","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffM ff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEvM entListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((M e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("ClM ose",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}fuM nction On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButM ton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hidM e(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkNM ame=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>M e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){letM t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;eM <en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8M ,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.pM ush(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,winM dow.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(EM e/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,M ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}functioM n Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectModM e(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWM eight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),M Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(CeM [e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.sM trokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,wM idth/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this imaM ge belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,heigM ht/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(MM s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2M -360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){ifM (l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.lengtM h-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function M ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("PercepM tron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STAM TE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),grM (Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stM roke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],oM =r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,M l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.pM ush(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.M resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.lenM gth}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adultM hood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=eM .getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60M Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10M ",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}fuM nction Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPaletM <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b489270b8e85401","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_116", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 4, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, M "weight_b64": "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 MtiPapnA7wKm7S7VlyOvSytqj3KD1g9uX3TvbCKvLxZIAM+VfidvX82bjyzyXO9+UUdvIDwxTsOSK09Y6rGvLX2AbtDeB48eZy7vPHgjbtbBpc9BEyWPINUiD2J1m09P7PjPMbfhbwiRR49cMiivc9lrD1oSA49FjI0vOfxGT31bq09DU4/vaRvwj0tM4I8n727PBCpITrdYmI9Gr/lvfhzQD1GZT2878NUPN59vb2GAIk96eiTPPXpQDy6lYi9aWtFO9cSpby/+ZW8waOJvV05hz1iLg+9QqGdu8JJLb4cFaw9XGwvPAg5hLy/G7K94zNgPWgaED29KPC8t3YhvoU0CryTEjC9rLErvUlE2b1fFTG8o+c7PIPT7ruZW3y9yaxmPN087TxqgrS9uP83vk0EzjxDhuG8EoZyvUiB9b0WvYi9lfBfvKxppjtIjWW8x0wlvcinxDs118W8GEtYvh1zpLxKnZK8NvoevAweWb5soAq9grWBPdTJkjxMD9a8lG3IvQn8+M 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 72MXee7ZrGKva35Vz6w5RK9CeqVvZ89+L30cBs+zNmzPFV4wbwVHvK8bGmHPRDf47xoMhG8YDGTveMv9T2TKug8sArSO5Ygcj0uqos9Zs8vPnAXQLxOmz28HzcKPlZ5dT2wv1E8ZkaiuvdGNj52eRY+CjO6vRoMRD28GZc985eiPD2obr2M5qM9UxCkPS/iFL2khlI9x/mRPCqmKj4pPCC9UpEZOuJPCj7OyMQ9XKgMvlSNOb3Y54c9YCmTPBxsaL6QTAI+rJWNPfLkCT3LaGy90q3jvBKIwT1bLm89A96jPWXF9r1WGZa9+LEBvotdl7peRpS9+ioBvvSf/7x01Fg8I/c1voO/aL2FSBO+JFMhPFF5KL28v2w8bqV7vddb+LxxEJW84ZgZvkAsxL2Aw2I8TUoCvshW0boKM02+awFtPP4o2b07HMa950O+vaBBUb029xa8l/EIvjjtpr25O4E9XpkWvge7BL19jTe+327vPVIX9b1vqEW+hIP1vXZiID19Wr28WM 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 4ztOydUBTxwpK698+GkPFSoOr1iC0q9g797vjV36rzkLaS7nWo3PXrBgb6Vg/e9GoL3vGCturwBgKu+D4sWvdkv+ju830K+oUg6PmrNMz5ec/E97Z5/PjQufj7J2D4+FPq3Pc8RWj6Cw0I+/TUHPoIv4j2SBgk+fv4BPw84/Dx+eFo9o35RPh6pDD8apZw9kekJPewaVj6nO/I+PtWCvEApzDyoSIU+YKC3vcmRhb7MJIa+eMkSv/2TML4wn2a8txphvHfko75zLYa7hpvcPZK4KD6JiSe+Qx6HvtGTYL7NXQK++JeIvgpeo76qvda9jEgpvtAmib4UjIe+Z0wGvl/ztb0Iql++Bqk4vGE9yD1i0F8+Z2QSPiOEBz6YIyM+wyAIPUaydD5bA9w9KfBaPJLPZLuUayE+OH2OvnNDNL3jqVQ8PIyLvkAPmr7AlLy9PE0Gvlzkx759Q6e+kT7YvSsDC75WMAW/yKfrvVhlPz1cYZY9/r+nvAu7LL6gP0Y9lPFXPfhShM 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 bTHPc9ZuDrTn409glnePAJN5D3/cA098I/dPKg3ET3w5vm8gGW2vQCr0jwSnm88GcIAPurnNb0XZI49qbovPdle8D1GAd68ZMCdPRVMqT2zXGc9otkdPWZRTb17T3G97JqmPUSJJTyB+Je94JYFvo0dgj2ceu87lftFPPcIbb3+QM095SRQPIR9Qb3eX7a8RgCKvbUh8bxBwkm9OW6QPDlPfr2Ww9O8tcgcvKvcBj1HHgi+96ZavrFHTj2GLNU87RyruzHYA77Ir4A9GO3NPUjlOjxfs4u8QD5SPZAVqD1UJiK8wzMkPgFMzr1T60m+5blwPKKwSD696K+9mQtzvXzj7D1Rsqc9axNbvYpe1b2h3o485lOWvG1nET4BfzQ+PFqsPkgX7Tz0QRU+pLspPuTlpz464cG9bSpGPsMcUj715UQ+i4YoPdWqcDy9Osm8gF/NPiyjlDz7JLW9oMeuvYJiez4XOQK+7lcTvQzmX72mPI09oIg4vlhZ0718OMm9o04WvbxGeM 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 3MWu0MXPjwyivm96wS1vZ/jSzy/w7S9kzBnvFIFE71MKJC7+nM+vowerbs+4zo9P0savt6+cr41rvg9RLdSPokMRr4lhqy+nMkhPkWJQD6I84e+AfQ1vgUvkL0o4yA+4xhLvvykp75adss9ihhkPpCHjL5wCL++J2RJPrFXez5+C4a+3VM5vjjZgzzPYRQ+OYoTviooSr59vBM+pJGOPoxfYr7SEZ6+lNw/PhPTiT6GDE2+xSk6vdk6rT02vs09uyg1vHz6f7zZJtQ9pn0mPicWyb1TjVi+zl86Pr5jfz5w/iK+aGyMPlxKDT1dXdK8oTk8Ps/4tj4iUTU89aTDvCQCEj7pHQQ+A188PAGIW7yHT2A8IiSHPsJwNL0eh8U8ABKPPgL++z4wRFO+ISo0vvFb4D4ixJg+lpYdvkxvXL4/l1o+AsCEvlZ3C7v1wO48I5czPRnSXjuuCx28KoQOvKvjkz4irYq90n+Ivc4047yKgBQ+o0r+vVQvD72F/E++IFG6PVZ78M 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 l+yvUW3Az59vmc+cYu7vF4IT727c7U8OAvqPePnUL3m/dK87/PGvYZ1sT0I4aO8FiVKvYPiqD1sz549wdStvTPiZb0oJjC+7mOxPWy1A71VlvA7Ahqdvdaxgj22MBq9xfyCvVMXzjsnlGU9IWiavd/BeL2VCzi+woYLvJ2nrzxgJ4Q6ls8SvpGxVLyVfS69LVaKPILMGz0T9QY9w/YJvaMFHLxaDRm+NiA7vnu9i7x8F8o9WGZPvv2DPr5/VIa8VYCHu40pFb0RY8C9XrEIOxDDYrxYeCK+te2rvRsc5DzuohO8GGJIvWC1Kr4My7e8pDOove1/T7q6vYS9wUigPTe9ibx9PxG84sRcPkNSx72IawG+ZNk1PvqcZT2Ke9a9s21Avt/Wwz0BhEw9VpNbvS9Syb1milY9NbX7vKS3NT0M0ME9o93MPYIr1r0QZ6k9wP2ZPUiVAz3rUQi+fr7GPeGUHD4ZHcm8lNlIvsk+0TySI+o7nFXqvQwgI77XAtq8y+2PPZAyJM 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 T0r3tO8CEoaPG84+T0tzBg+l3sCvReKMbySnJC973QEPm6enTwc/DG9sWo9vR5FtjyW4so8dxQbvV7QkT0anu49wMyZvG92k70Jkse9wppaPSUvSL24wpM7UGPavc0I9jzvs8+7fq3VvWXV1DygxRg+hJ8qOb+xiLy85zO++54ivFTYQTwidUG8QPrlvQfIxzvFhve8nsZmvSJiubwte1490H3oOwoqjb1nGTS+62NzvuAx+zzxYSi8pl2QvmaPJr7XXmM7AXk5vb6eSr5hCL+9CtI3PZZQIrxIXV++1A37vUmdAD3+GYa9BMEfvv36XL70kVK9sGcTvfjyab0a1hO+vYljPURdK7z6wye+QHzzPQfNv70yvf+9tnPSPVSlhz2ejxu+YZgvvsjIsDzV7sQ8TCgQvnpbG77EW6S9YRmmPRM/jD2qCRA+cifOPW2Qzzy8rMU8Sd97PfZZ+zyC5xu+NgNSPB2m5T02Apm9eJXDvBeoAj6dSmo+y8dFPo9dpr2+mCc+SM dGYPjo3oz2MRzy+blcOPpwBkT6qyA48WoUavu+RgzvoQi49dWcFvmoEVr5UIV49+HgOPqBjYb67U4y97PJQPPix0j1jhZu9YlzAvhOoR71HiIW8SEWbvkUKrb4FKuo6oSYlPjsmnr7+7w6+DGWNPMpokT1a30S+LVbnvd6Yn71+A469qmXgvUaT3L2WjEi9c26NPTj8Dr7kJrG9FpGcOrijEb2Dckq+ar7XPLftX73PqP+8GCWmPTV74T3CKwe91rLQu2w6hD20u0W9a142u+qmAbynU5W9tHZhPS2JmL1C2208v4QXPurOTz4pJ+G8b6EvPS09ST61OhK90WCiPXyFmz02Qzw8mJaku9llTDyuyZA9zPkxPp7T7T3kwMM9DAnfPBc3JT5gfzG9U0vnPbEkKD2Zyfm7w3w/PM1OZz0OMGG8JnppPl+40T30gSw9tz8bvIT3ZT42QA+9wR7ePYEYzDxt/Ys9K6XNvX93XD3JVtg8u6x/PnnSMb1kNkM9kAFzvLTVPM 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 z+XKnC+KfRiv/atfT6GypM+e8IxP1e9C76+jHo/lP1tP5jjRT8RW4m/wjVjP9o22z7yZ2C/KFilPuiaAD8opYq99C0/v+sq8b6777Y+72dLPfszTj8RXFA/qyNwPj7UHr8cpuK+ZAanPuYgl71foAk/paDPPvUl5T56ARM/9DUlPyxbUb6Lkpm+F+JYv21u1bnPI04/axAGP34E7z5iKdU+cnvBvLxpnD5MgMK+i9QJP0fHXb8LbH8+x68Gv4kpOb+g8Co+BVuPvzZzCT9e3fg+KhI0vmlYTz/M0RE/dJN3vl+ypjzwN6U+MbSaPr08Pz4Fic0+6IiyuzEIGT8jzmw/t31DPX1j/b4v+Hk/miLVvva5yr4XvlE/608eP8+wZr77UpE8RUSrPC6MvT5I3+E+pWmKvwLht71W1qq7SitVvxQO/T6pS7i9aByYPkI/gr4mKry8", "training_traits": {"structure_gen": "Random", "n_layers": 5, M "max_nodes": 5, "activation_func": "LeakyReLU", "epoch_num": 6}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));M const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.M stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteratiM on)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shM ape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.M endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1M ,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);M a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-M a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){cM onst a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(M 102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9M ,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStrM oke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66M .4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45M .8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(43M 8.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,M 501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,M 189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,M 6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVerM tex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(6M 4.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVerM tex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(1M 83.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),M e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.M 799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertexM (243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,M 297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.M 9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.M 7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezieM rVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,M 330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezM ierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,M 428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezieM rVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,M 111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.beM zierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.beM zierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.beziM erVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,28M 1.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5)M ,e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.19M 9,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.beM zierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369M .399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499)M ,e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(M e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var M t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){conM st n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;iM <r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){M this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIterationM =null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){consM t t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoidM ":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subM array(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=thM is.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="blocM k",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.M elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanM ceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}valM ue(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.remoM veEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=doM cument.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.M length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLM END),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=M function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),neM w e("global");const oe="117";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vnM =null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)M }function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2eM 5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6aM 8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pM n=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0M ==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.stM rokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function kM eyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*M le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show(M ))}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAccelerM ation))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,OM e=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...M Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(heiM ght-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=M 3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(M we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.M push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,M Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(letM e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),M Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cnM ;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStrokeM (),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8M *le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(M let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,M 0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}funcM tion tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("M I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPM hrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let rM ,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It ing and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+2M 25*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let eM =0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;M e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+hM eight-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",BM (12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.tM extSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*lM e),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*lM e),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.spliM ce(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.seM tLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/M 2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}functiM on wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very acM curate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying M state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTimM e=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["PM lain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["LiminaM Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs"M :e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dKL 1pQ==" data-cf-beacon='{"rayId":"7b4892bc0e7e3ffe","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> Aj?=:ETH.ETH:0xB360525716b997bD7b7a3dC618f9D2799FdFA651:3791972::0 ;j9=:ETH.ETH:0xdff8a316c839D09925bC6fe5d7f17c67e38146e5:te:0 text/plain;charset=utf-8 @{"p":"brc-20","op":"deploy","tick":" ","max":"777","lim":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 EjC=:ETH.ETH:0x80D7CF02B5722Ea4AA7e026cCCddc292dd9FB2dD:115665875:te:0 KjI=:BNB.BUSD-BD1:bnb1yutgpcrat4uv0gy0unxu0vxw8fed2skgpqcuf3:4490606505:te:0 text/plain;charset=utf-8 LjJ=:BNB.BUSD-BD1:bnb1m5d4z06ucj543kh0qkrrw9lw9xwl3vq54xfa68:23859439626:te:0 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 CjA=:ETH.ETH:0xd121acBfb4544FaE3A428C9a4052f65466701E5B:2204956:te:0 CjA=:ETH.ETH:0x638AC38E4B56AbFbEa9f587A7D128011DF3376b7:2447927:te:0 text/plain;charset=utf-8 >{"p":"brc-20","op":"deploy","tick":" ","max":"8","lim":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 +{"p":"sns","op":"reg","name":"ordtec.sats"}h! text/plain;charset=utf-8 "name": "liq.sats" text/plain;charset=utf-8 "name": "gri.sats" text/plain;charset=utf-8 "name": "gpi.sats" text/plain;charset=utf-8 "name": "HSM.sats" text/plain;charset=utf-8 ,{"p":"sns","op":"reg","name":"fintech.sats"}h! text/plain;charset=utf-8 "name": "rsn.sats" text/plain;charset=utf-8 "name": "lig.sats" text/plain;charset=utf-8 "name": "lir.sats" text/plain;charset=utf-8 "name": "liw.sats" text/plain;charset=utf-8 "name": "rzn.sats" !Powered by Luxor Tech1003 text/plain;charset=utf-8 KjISWAPTX:0xaa332c68ae54ae0b87a75fadd7969018ab59463af796916fbdc192bc8a75a031 IjGREFUND:F1591EF5AE656F306968C67741A5156F79A67EBE43000B004FB9093E021A8BF8 FjDOUT:9822C64F1E7180FD9F42898F6EC2B39CF24037B7335446EBA4C2F586B60F927F text/plain;charset=utf-8 ){"p":"sns","op":"reg","name":"cdmx.sats"}h! text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_536", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 5, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "leaky_relu"}},M {"class_name": "Dense", "config": {"units": 4, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "rFV+PQUtkr3b2za9yVIZvTUH/bxvg+08EeqGvUofRryQ4R69mWE8u/DJx7zqt4a90dkXPZbXBj3jsOI84RV3PTBCs7uECho7Lai1vGvDjjyalLY9w9cSvaJVY73fdIW9udkIPf6pZzw6jjy94v0aPMHcyjxqY908/KvdOdg7t7zyRmI8SahOPO7+oDwR1LQ92IzHvM 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 Pf8er3xEZA8oPFnvaH/4D0EkDy9OGYnvXB6gjuti1w9DrNiPc/qML0lxlk8S+HMvELrCr3W+gU+vgOQvXjkWjw4Rce8PFwDPaSUoT1iAb29a41Lvbbg8jwRfae8TMdaPMD4dDxqyFa9lUvcvGjeR73I2p49HB25vJMuID35Dgw9QRBVvAYwND0lAB69jHEqPcj1gT2wGyE9zL4+PeZ91LqaI3e7ScLRvKI3rLoimf89zCSvvUmMr7x07Ui982RovR5URj2uL9K9FRXFu6CfuT2K/zo92GXbPPSN67ytgT29KTrMvPbjkrxEboY9JWGjvZ8+Dj2flA89Fo7XPMkJEz6Wnsm9HykDvUVYcj2UL8q8m+RIPRQ8jb0iABe8OHEQPeivV7yhsAY+tsnZvZ6w+7xyXwc9J8Y+vfiLiT0qhAG9jUiXPH5DwD2JbxM9TPP2PBc1ALzxGf28/EEKvC9SbrziqMA9BZvYvZ9A3Ts2Dhm9CRUcPcCrrz1LZMS8x+O9vLqqKz16mM 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 XeGLrxQqHs8cDwpPCd0xj0MO0e9g18vPOBp3zvtChu9NO7WuvmZ1zysvTA9uF28PJIkj71lsJM9uDWTvXnT5ryEFFQ9H/6sPH70xT2gT1y9hutrPYH7xD2J3708mh2fPNXIYTsu0NC7cLl9vMLg3jzIxKo9ib3CvRyfCLyXpsS8BXRlPER7uT3hzT+92++duknQiT2z7X28bh3ivItvBj2LJ4s7w2pGvLCCkr2JjxA9EO5LvYWyg71ppZO9+xOQOw8+lT1/dGE9EbnxvCiT2DtwRZe6TFVkPFV3x7ueJEg9cSjKPCz+CL0+Tr66SwJYO0ccmrxWfrU8ilxIPYlyjTzhWgY9K8r6vDYR9rzwgIA8745VO1CnpTzxRSg8BaeIPOZY/ruBWUA8vfxEvZ0qvDws6aE8LNO7vLQnbr1w6DM9GcsUPZaA2ry3z9e8C+xCvQ5VFj0Qw487etIfPG5hGb09k829WGIMPUviGLw/ggy9E5ETPTO6nb3OkyI9g3kEPCmkorsr3M j47GkRtvYAd8T2nLWS9ND3nvAJGKTzIfrO9uTYCPf5WQr3gbS69gXLSu+K0vb1Pw3E9CFOcvLD4hDsbW7O8NymCvHGJNj24HgS94V+IO1c5wLp3YNw5+cGZPUxtLz3YM6w80XUCPI/bZjwX/X09yWofPMGiez2V+9s7uL68vejJlTu/gwS9iH6KPIVJkT3n46K9KoFtPVNLsTy2WTA9NhgYvaljDL7WLoQ99DJPvc1FjTwRlDO9sDSwvTHE+jzHkGw9yHpCO4k5yD2ipuC9z8D+PaGdd7y/CDk84KKjPM72L73D8+I9f9vhvBE1GD0x27U939qyuzvJp7y0OSQ9phDTvPtEKT0jta67LaijPf12hz0/ZBI9TUTFPdZ4nrw4JZw87buOPVXGKj0dRzE90VrNPS2QwrzdL8M8l3quO464qT0hhkY9AJN4PfKIrD0WMSy8qmlEPVJn9juFmoA9Sr+SvM49Br0ypP485JqmPD/x27zqHbk89EBovVmJnjwe9vS7jMbAPM 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 Z09lpxSvp9etj13Oj2+FzEgvlqyPL786Q++Fn4XPqVllr0pZ6C83SfUvT+IJ73NHky9szzXvPuLgjynKZS9jkHUvfUwFD4aPbC+HgWJvn59Mb7qbxO+DOFfPikhq74ulIq+A8V1visDDb7lzMk9yQ93vq+Vfr6RqTy+PBXUPA3Nwj2bthO+QQrZvWGU7rw2V4c9nM1DPt0OOb7wkgC+osSdvffKGb3Hnck9J+cmvgmKUb61njW8/G2CPuwKyDqNjgc+OBy0PTezrj3fLRA+uzMVPvKd6D1nFAk+Dt+2PSgDBz3l2Mw9pcGFPWKwUD0Cg7k95xQNPX6RQL3Bj549PuKKPftRxT2n5rG6a5jJu57NWDvZGOM8S3GUPS00RryJq1u7IsdOPTBVM7xYJjg8v0a6PO9lrbpy6lw9gmSwPVU30zzcSjC8ez4AvJAouz0/ESM7wmy9PZRbXzxsWOg8y6oyPaOCsz2Wg0y8accxvGFbLr3QdZq83AqQPTAjrbz/h7O9xmNEPM 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 7C9QIStvFe1vr13HGq7S1ZbO7NRxTyqBBm9ktV7O3NHGj2LwgU9LG6fO7Nakzr3d5e8c7MPvf/WVT18DJy90QievWE5Ej0J/JM9TnUaOnyF7jz5z1s6Gn0yPQne7z3HoS89WkH1PXA/brwxMEm9djmCPZpTMz1W/oo9nmpSPZxGlDxA+MW8OlCqvaRfXr19lnM9o4NOvbkqaD0gmEK9v1ggPNB2dT3klNW9u4aePPQXQL37LTu8+fTHPdyKdL6yLco70m1ivd+wPr1wxjQ+c05svikXQ72a6iM9N9oMvpVi1D14Sne+tsuEvY5n2rzAUx6+lPTcPEv8wb2JXTg9JHCAPEp06D1Up648H00nPSns4jxK3wm9H8WkvCA8kj1IUyu9GgyNOxvHtL3TaL28RtRTveSfxj1Txl69uCRVvaEbLb0216G9nEhpPr4Izr3P9dm9uozYvcJnAzuLxZM8doe5vX0YlL207pe9ibk4vlh6Cz6cbHo9IlKcO3mZvTuA/We+Fv1zPM 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 A0+5wnVPXXXDb6/lBU9FbPmvHLS2j2btl0+gluxvH1QIT3E1Uw9QnPnPTy9dD7HD9u9jupHu+e2oj2+lao8qgMPvrCsQT4cmIO+FMOAvlPXNL7aKjq+oge4Posvbb5VXGa+fvoGvnSw4r0fFxU+3fAavgWVCr4FdB++96CUvYLpBj7GpZO9s75IveUGA76xmI2+ziHePlSiiLzhnRG+HJT4vaQcP74+NFw+wA3FN8rJoL3FMUO9oz1ZPfRUo71hIBI+jL4cPkqc6j2rTLi9MhQhPmEepz0oqBc9g0+ePf4ytr0Sy887raCnPf6NYz0qn7A9cUNkPVmSBb53ogq79JQ9PaY+pDxwVPw62/iSvJHyoD1M0Mg9TuzhvLbjLj2M8Ci98HmdPW9Mrz3UWiK84HACPq4ZuL03Waa8SZBSPciAS703N749eM6hvcZ6gT2QN+w9u5KPvY8VpT0s01e9uFwVPRqwmry0bB697QCavftVpDyvA9K9CIP+vd33rL0P7Q68ZZH9PM 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 uK8baJSPPeFNj3Wfz685BC8vWnOAb1GM9u98XzVPPQLk71fSOm8h9yMvaVVGb34ct49HNQgvRVdSzwf/Dq9+xU/PUphbb0a2N+8Vq0gPcVQabo7aue7zeAvvGIskr2PnxK99UM9vQaOsrz2nMg9Y0KOvdX077zNWI29FpjoPSLz3b2amBa9PHEFPasUr73GWPE9FmKbvSj5czxT+q49jn21vTY3LT2HvJQ91Aw0vaiYQL1gWRK+flSnuzpPir04Ixg9AiynPWOhGTwJY0M9/0rEvZD2ED0dlGo9FeHluyJuNDzA/vq8KoIovcuPGr2S8vC8xX4pvfErT72hBr89mdZQPVH7Yz3XPt09W8EsvgdP+D2ataw9Z/rsPc1luDx60AW+wHZdPSMhCryuPAM+DpTqvHfSQLz2wUg9qJKtuzoahDw5zM07TaYcvtydlD1L3To9kC6DPf/usbw2gje+fCqcPajh2LyYxMg9/M7tvAce0L1Jo548wYIWPTMYE72qGNg9NyMPvM 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 6e9/LnCvIytlD1ocR69ri61vcb9Or1pL3u9lHOAPbVXDL3l6YS97Tg0vQU7ir0F35c930PMvaaokL1hE/W9b4L/vJCbIjy4d7S8FcuAvVj/d70aOc29DyTQPQycrL2Fc1a9ILufvU0mR73D3Qc+zKBgvZGOVb2MjXq92jWFvdoxyT3HjVG9AQb8vKEph72TFeG9/XU0PapZOr2JlYi92N62vT9Kwr2FvrQ9wrVovd5lQb1AJXS9h1WwvPVGZz0g6yI5gHSOvcFCKLyera29dFTCPT18q70z3Ce9n6EUvXEQgL1LrRE+AryOvaoQk71C3ha9G1z6PCJELL2gR5o8q7vSvK6wBb3PUzm9WwznvDQea7wv/D28zwoKu1SyEr3uhzY9+eYPvZiIDDo7oKO9V7TjPeebYb2c6GA9C3WkPXg8IT3syg094cDDvfpYTT2gw+k9393TPLbEvD2t7Eg8qTY1vE6teTwQUIa90w4ZPWZeyb2VLlo8WkPjPSgllLw3f7M7AhchvM 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 jg97/CjvThkp7sUSM88VdOvPc8EtbxPnCa+/unPPea+L7tnr+47t6BaPbqImL3iufo92mYGPdO8WDuLSEI94L2TvSmZTj33BIw772kLvAXsHz2i2Ce+GKesPcUwGj3IUFM8RmWTPZgu1r3dbAQ+idhdvfIZgbuXxqo7cDx8vQ9Poz3r/4i98y2uPfZFvrzpFQ6+6yblPX+MfL2SPZS79+F3PLxr/71aY3A+sl2VvfldS73oOFO9a2g4vVGqrT0q3zs8DqUYPfDblj1Lyvu9jnu5PZ8wUL1RMSo7xOZavLKIhb3yz3M+WnLWvCwhX71J9py9mK2GvbR7Sj0yrji66mciPeyH7Tx1Kim+EuXpPSrSlbxz7xY8RVMevRiltb2wGDk+sILKvU8tQL0QCmC9DsMOvse+wT2kvD29oPoIPM69PD1sTEG+dVAgPdyaxrt/ev480R9VPdLU5r10dyY+lbO0vdcmZL3GPS+98VLIvbdjzj2LTyG92YWQvL2NiTxnAkS++yxwPM 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 T7B+jxJ8+29jpriPVIYkb1MzcE9GxAaPVHktr3I5g49612mvXCvRr09Gy89ggeZvGWJzT2mwii9J5xevbg/4j2xU0c9RRL7PXvpWT1knds7gGF/PTAnOD112cc97HwQvhZKyj64O7C+K2q3vgLvCr5Oj0K/I6A9v0JjrT42Gm4/5XyQvdFqMb9NNwy/lGhUvzaaez4KuhG/kvPePofl2T3byTU/nYcyPu3rvD/K7g2/UdQmvwOIA7/PHHe+yVadP0mg4DxnqTO9jNyNPhleor2CmfQ+sWhHP3S03z1AUIy9bggivwLQwb44Shi/Vic/P6pVRr+tV0O/CyY1PzuFgL43rDK9pP6APzNt5L2lrMS+SUhKv4o/M7+mmgE/gx2Wv+cGiD7gFti9bG1EPSscLT7shoE+zbCrP+DYHb9dUom/5rwrvj3qhL+ipai/0u5gPiQtgz/q7BO/N4cIP20uxD6bFjQ/sot8PyfNBz/EDYu+gYanvrXsUr/6m36/xhi6Plsg3rz7+M Y0+mvtBPJ9kKT5/2WM9nE2Kv/we5D+hcJu8pYecvRuez77oB8o/s+AmvrlwCr9P+zo/9ErfPgE59r58Xw4/GPYUP3dF0r472WQ/j7tGPwoQsj1iALQ+IZddvZ9Toz1DTQM/giplPzGtob/abRG/OqaNP7vc5bzozd0/lCAeP80cJr/ba64+ILtdP6+xiL/7dfU92bpwP2nibb+RYH6/ESaCPtcj2ToEmnI9nph0PnnICb6EblW/tvptPwKWcj9zSL2/Zdv2vdNLCb/EGiW/um3hPP4ShL4rU7k/1pJLPm86Mj8WEIg/vrUvv3IDXj9rEEc+2mzQPJ79Sj+PARa/bhZHv/BWD79/FHC/PUTzvkUMbD9Zcdu+Hk+UPrxihr+rfii/J/3QP2a7qb5x8Da/2BULvwfACT/PVhi/oLV5PqDcwT58NYY/TDIfvh2kYD/Grf0+J7JYvw==", "training_traits": {"structure_gen": "Random", "n_layers":M 9, "max_nodes": 5, "activation_func": "LeakyReLU", "epoch_num": 6}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/M 2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,tM his.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteM ration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,thiM s.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7M ),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStM op(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=AM (e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(aM .y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodeM s){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVerM tex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(4M 53.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.nM oStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.M 9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.M 4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVerteM x(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(34M 8.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,5M 1.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,27M 7.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezieM rVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertM ex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezieM rVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertM ex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.3M 99),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2M ,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVeM rtex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,36M 6.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,M 256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,M 148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bM ezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,18M 0.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),eM .bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,35M 0.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bM ezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.M 199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),M e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),M e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.M bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.M 3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,17M 8.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(33M 3.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),M e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5M ,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.M 499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}functioM n P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){M var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t)M {const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let iM =0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(eM ,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteraM tion=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){M const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigM moid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=iM .subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.widtM h=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="M block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",tM his.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t inM stanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return thisM }value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.M removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var M r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=M n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendModM e(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._lM oad=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})M ),new e("global");const oe="537";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=nulM l,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeedM (Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#fM 9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0M ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#uploadM "),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;M if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$M e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}functiM on keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2M -40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.sM how())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAccM eleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*M le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=maxM (...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=M (height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(leM t e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=M min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0])M ,wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLM ife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){forM (let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*M de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;M e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStM roke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeigM ht(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;M for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,maM p(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}M function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.teM xt("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaM ultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}lM et r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It ecaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,widthM /2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(lM et e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let M e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*leM ,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAMEM :",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),M qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+M 20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(M 75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.M splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContexM t.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(wiM dth/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}fuM nction wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not verM y accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the DecayM ing state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrenM tTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=M [["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["LiM Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training EpoM chs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cVL 78dK1pQ==" data-cf-beacon='{"rayId":"7b489e2868f4548b","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> xxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxK text/plain;charset=utf-8 9{"p":"brc-20","op":"transfer","tick":"ordi","amt":"5000"}h! text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_87", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.0078M 4313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 8, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 8, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 8, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 8, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 7, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "relu"}}, {"class_name": "Dense", "config": {"M units": 6, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 3, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "yX4MPVatybwcpRQ9bluBPDDjVbsG4EO9Cr4uPXO3NL0BlwC9ewyPPDQfVj2r8Cg9TU0dPdsh1zyFozG9bNStvNIVpLxpjky90QMtPR6vpjwKqKi8miLWPGBc77v3//S8kMgrvY3aMr3ySac8APgau0tIPr1UiNy8U0Iru6hUELxnxzA9L1+kPM 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 NoL7rwkhAC9m9MUPWQ6MLw+G0w7N+/7PBucRT112w89KM9GvSAFWT3pFky9cGY1vVA67LxyOhq98iMyvcpS17wJDN08zeESvGALnrsEqbm8xkdpPBT4Lb3Dtbe8N1LtvBiDAD3AYCc9/xERvbYTgrw+Ljc9MNtJO/orGb3AZ326DHoEPaZoMTozpRi9BV4bPXIfBL1+F1y9VEBlvFCYRbvZ76S8goslvbJ8Ob1UcCS8qI0fvTPjQD0mhs08CuHPvOY8YjmkRIu8vJRwPK/GDD3wRaw8uCH5vEw5Nb0kyIq82/KQvFGN67xYRwK8wB0DOlVLH71f9A68yum5PA7SJr1R3q88CLROvWcXOD2yULo8esnXvBh+Bb1iRqC8PUswPX8fFz1m16G8A0MqPT0UOD3u1Xi8njM9PDtW+bz7WiI9EiEgvDFu7bz8hgi8yH3FOz+ZC716CGG9Un5LvczoAr2VoqY8qIB1u5CdNDvkoLC8uK8bvQdQFj2g9io7Fg7HPOcJ+Lyl0M 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 b4o8DygpEE7zxHcu42eFbzmCdo8yNYQvO+YTLzxyZ+8mlidPEF2Er0lyg09N3M1PDNuJD2zJDe980osPfO1bzw+FZQ8+AI9PCv+bbz0mCU9i2AjPZh+jrxR/sC7+4uEvCIJiLzAvNq8q+6PPLqERj1nFzC90k3gPH4oKT1XZPg80ozyPJZrpzx0xSm996UaPHTJDLy0R2g8Nc5DPURJ1LwAPTs6QAS0Ow0JMD2ZlIo8vPMLvYZ6pjw7fyC9p6gBvWCPjroQhAm9n+VDu0X/l7wmlso8PLyrvHdx2bynOiE90hDZvPJd3Dzd8q88qKtSvbIQEL1v0hG9tmvtPEsKVzzwcv+7oKPjuhVrVj1WbO48YHr+OgiRAL0NGOA84jhyvC6yyjwohq07ets1vYDVsjuIT/o7U5zBvDYAJLy5chc8zWMaPaB5Drw15q67C9swPfrI4bwvzAK9p/4LPc+8NTwO9Pk8vLwVPMMhQj21MV27MPw5PKChAr25IRK9npiHuyJPCb2WxM 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 ThpwzvhXyE9OicbvfsL1TyZTBa9xVUSvY5y5zxno2u8lmqxPFNdLz08dtk8fgF7vIxyHrzNjkc9/13ru3BkWz2QBdw7IPQrvOnQjrx9Bdg85sIAvSCwSryxJqE8/JMUvZ6CvDz6ct68pIwouwHPPT297DW9ZaAkPQ3yCb0A71o9MrWivH00OD3MEy89fxs6O3wfZjzQJIA79aaAPNG7Dj3RT8O8jhcBvZEN7DyXnkS8HPsIPDZ/M71lBDk9bpZAvUhKGjwYiCI8xTogPX9TUD2CYoA8hLckvJu7UT38Im06HpbhPOelp7xyRmI7lBqcvFzuh7zcY0C8G5+/PE1fgzqQJEK8uOXxO92lXr353688wEZpuzwBubx/B+K8uqwZvQrshDyIXUO8428Tvan7Gbw8oSO9KRMXvQrfuTyHZMm8DDglvQCsKb1AmX26/xEFvYuPoLw7CE09PuURPWWtM7uUTP+82+wuvfz9dzvEgB+9FA64vEhCP7zHhwK9q/QrPaueEL121M 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 Mc8vlzUPArHzDxVaq27MFPJvFD1Kbt+vgy9X9CbvEd85jzX2iM9DDxrPIgyhDzNeTQ83iO6PCLM3Twnptw6zmkLPBSycrwnIqq8JWzdOvhhBj1YgBK8LCY2PEbWXL1bZL68LtM2vdfqET0RvY68TTC4vGhoAb3baiE9OrWuPE42dru1GCc9ePDBOxpsXDxEXBU9G5lLvTC/VztBJDo8efQAvWwrNb27Dx49SiQYPW7qFz2ZFBw96FPCuw++szzkxPE8gws0vSKIqjycnxu9ZTGaPKKBgrxQd4I754dMPNPayDzC6Py8gq7QvAq4hjucVE07GHWmu87ryzwdPhC9xTpDvVOaRz0a14w8v/YHvQYmQz1NOKK8BoIXvWyjDzu8RVi9j9QAPcGzubzzvEw89/UsPUwDTDz8B4a8rqGlvPtHOr3wRl+7shkdvQqdpzwe67w8wFy8OvuB1Lwzi8m81hw7PDmhAD2mNfY8fmclPUW/8bxdZBS94Mw6vHoocDyB+po8skjyPM 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 c8yhjs0ySW9ZtSgPMPHNr3Fpos8Hg+DPBRB0ry87UW98nLZvN6OCb1fERI9Y2HuvI34ULyujMU8s9vLvNWRlbx9Iy099Y8NvYAqGTvPAEu9/jeyO+6/Lr0g/v07OR8tvV7TLL249fU7Nq2NvJa8xzxEYik9kydMveBn6DsohRY9uh0yPduOBD3AUzo7Xfb0vLHXA73gcYI6GJIzvcG3Or1QUfa8jg4RvdzVNb1VB767XSiGPGwyFrxmiu88y+hDPZgE6TugH7M7Cx4YveNoDz3Q/wW9ltvMPGYPsLw4tCk9jAoFvV9XGj3xp8i80MRHO+NPVLurirW83dk8vRHU3Lyysc+85y06PUgTE7xbUIe8619RvV4wH73u8oM82RTgOFsZ9rwdjkU9kGSPvPEUGD0lhi67GDOuO0zrTL1lNtK8P9GDvKkDRD2om7+8F2eRPPuc7bzcVha9LrpNvfBB97vZriE8kHrKu6IXFL2Ce7a8tUKovOQdN7zAgSW7OQMvvXC9nbyE0M 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 ns8ePWfOhI4CLxwLye9oGK+OvqwRD1yRBM8KmPYPLXPMr2dJeM8p+8ePUNp5rwOdUO9CgItvVIO+byu+rw8aaFCPQXL0zzmBSi92Tg6PRIE0TyZPS095xh4vCB2bTsMlXU8z4SOPG/xHz12v+s8CMYSPCdwcTyMGA+9jtm1PHK6tDyddKK8vUqEusROqLxM0He8aPMePe2AOrzY8wi9LAnnvKz6C71DmZo8qvvtPBz1OL0GFJ+6idAmOy45wjyAA7286C4YPRqYJj0Yyoi8Sj3PPLIdOT1PCym8v5E8PfbyizzXqB89ZV9kPKCSwrsvRgQ9GhA1Par7Xz0dUq+8HuLTvDSg97wJM9e8BAIvvG7gA71XUT+9YqDHvABRNrtwdUi8pTIVPR8sbLwJMN+8AAesuXpd5TvT+ii95r4NvS0LxbwU1Em9umTXvL9NPz1kowY8SvADvIqJdrza9ao80sEHvfjq3by0+lc9ZGUwPPkDpLzXwde8WfEzvZChMbtQgXm8XQ1GvM XNhebzq+jm9gG3UOYtQNz3oqqG8820yvcy8DbyjnPq80+O1vBj8nDsMRIu8PF5jPbRfj7xjY0c9WPSeO+9MGb3OEU49RpnRvIcrED2rL2s4rmMBPGyfcjyuwos8blruvOXKA70aTT29XbHwvKH+MzxJgB49NBZbPGWhHj3yZx69zBOGO0FCQ70MBzS9T9FBPZ1lUrw63zi9VkGkvBhuFzuMPsG8wpDjPACAmjtU9cw8AJnevIcQAL14QPu76IsYPc2A2jyXUk09IN0euw+DL73qDRa9leA0vU4H2DyTlyU8Sae8PDwOM7zB0wE9NXOzvBsxhLwfwDm9s3HAvK6uqzyCxkc9z2xLvQSuIryIT0U8+erPOwPQNT2tGje9bj9RPbAtiLmPJks9nVVIvQoN4LvtOSw9pT3JvFf0Pz2tB7s8rQIqPRqph7wVmS49njwAvWBUBz37Wse8VMA6vYXuDr2kujQ9ujHuPMmISz1ChDm9D+0cvdTlaTylODM95CIVvaXA8rzqkM 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 KM8yAwWPD3bNz1zb5287qOovCjrP70VuAs9h646veDGxLzZ+U89aP6XO3ksAj1bhGY8m9LqvGn+TD2tsgY9xb6iPBdF7TvuvsE82kWJPDxNZbwt79k64WxCvVAzB70NCi88vhSvO01MKT29uze9qNFNvYmPG71HxAQ9D2sdPXzZCz112u68+ufsvKZtojxnrXW8hcPuvER8AL27iLu8fZIWPfwWOTz40oi8tJ8tPEb7Jbwh8Bk8GboIPcB7FrulYGK9GSMYPLUgnrwaj/Q8cGOyvOV+0TzMAwC8n+k8PVn+QD08Pg29xecrPZA2CbskyDC9vNXwu6AfnDpoog88aYZDPWG0iLsQkPA7Cwa6vIl1Pr2rtUS8kLtxvGS3fDz3Dvm8XzVnPLig57s5rC09xz5KvX/gg7wXW0s9MQNLPSGwwLzslEA9w4YmPeMHAj2yEDK9nnsIveEoFL1wMo67E0SuvPdw1byAlZQ7kTonvZL9mjxkoBA90NkDvewXGjzwnRc94uOfOM 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 iC98OkPu3S5NrxySa+8Z5p4vChkxzva5/U8HlAMvZsISb2y+Io8+r/0vLJNV7uequA8aea4vFyJNTxK/Jg8nUoXvd/j2Lywwd68WhXlvKeiF70dVkU9dEIWvLJhmjsXBKC8NCTgvB87Qb0iwSi8QOs+PdzgH7xojOm88mrkPH0NODvqyPM84LXpOg9XwLyrwAk9ehKwvCg2lbvcSVo7hFvJOyuNFD3ADD+9p1oOPbZJdjxgeNu7iygIPVh0g7wzv4q8nhngPJ1yEj1HgoI59Y9LvMot+TysI029Z6gLvJ8Qyrw3xxk9TlQMvbSWmzwTpvC8qXwqPW8lNj0zyoA8Hrc1PRYU5TyQB9U78aIgO3HoNb0A+Te9CsUNvZAORD0f9PU8xUkAvQBeabmq3fs6ttrGvPgn37zzjgA9m2nvu+7l6ziADKO8ACDatzilDL2t1hS9hWI4PZtOOL35w8g6fJfyO9UkQT0AuFO4rN05vRR0Er1pGho9ID4Su7zg/zyKogg9+x49vM 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 beIKr0cEDk8jV7vvHz3dDxYYDg9D5yZPDp+s7xM6eS8QC0HPEoolrsMVV48rG5WPIelDD3VZlA92lSnPLk/ST35Oqe8dC9HO8n1Sb3Q7YK89hDkPOvwSj1msUa9VkXCPFVHmbxHHjk8I10wPWPHCz0qPwG9AKMHPagRaLy4HJ67IcnCvNEfu7yB4NC8AL1JuTgR7Dy+iTa8QpnXPKGmO73EeIE721MpPbKsNr1MrTe8fu/+vHEE77yU6g28nwFFvQKzGr3m3A89AHtyOd7I2DxKzay8kySlvIS8lLxgkja9GHlyudeqVL3OwSO9K2xOvWEZOzx3kM08wIUGurbNjbz4Rus8ILQavCKf7DxYil+80C4IPFP4MT25jzq9RkOEvEJ4EzwLqvI8rY8nPaWLJ73xcrq8rHsKPep4vzyiJE693QxBvLaVnzwRmNe8f0UDPVO5jbyNKYE7mtqyPJo1Fb0iVou8lw/ZvDlR4by0cjc8+77zvBTaqLzS6bQ8LmTIPGTqyTzgyM 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 NDn3by68B89IhbFPLL1/zyS2Ui98tQ3PH3JDr286SU87GJQvLGOw7t1e+q8NYLUvBZP07wrvRa96NPkOxQXHTzYngC86y7svCgPsLugUzk7b0OjvOZvG7xOzfU8QhywvLwbSjycGty8HZWTvM7RlTwfzkW9Z9WXvCyQIz0uVoE8AhzJPP/CDr1gJuA81CpsPBBFGzukGR69p1rzO0QrHDzGecy8FE3YvNkvDDz87lo8H+o2vUSe0rxR22g86K3duwBSMbk7rd28IEezvBwNDjy9jBc9aiIJPYviYDyAeAm8AFSxO+k8MTw/D927kEgiPF+bI71RG5A8HRevPLCgnbvQKm67V0invC3oIb0HVk09YhbrPF7xzzxTAha9LEGPvCHBH735nfG7IS5fO2imQb2RrQs9iC/zvN8dH73Acbs7XoUnvXyQIDtgneU8yIkRPLcnDj1hch28onk6vfEoMb1dJeq882gavV+HLTzwRP+8fBkFvKnlZDun3RE8hKQvvcr1qzxwEM 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 Fk8NHa+vLWrSz1dMX25zkrwPOzOODyXj528yswOPSIDBr3mp4o8m1Etu7WsD7ulicS8a1wOPVnomLwY4xA88BQuu8G7xbykerM7j+tmPD4B/Tz00oC8sL3OPKB83Lwszwq8XsCevKZlrbx38388UveWPCT2A714uAe86f7PPFIJ4TzocS68mpSUvJbHJ73wtlC7GnjwPFQcSz2gvM48+XlJPbiSH72HGRE8kkQIPRDPwLsYykq8I9EHPbwDGL0yE4q8I49EPRdduryFq+28FMI2PPvExbx88wK9ifXEvAqkhjzGRua8jhYIPUmytDudYyW9MRi0vGu59zxu5S28NofiPAYYtjy/iQw9urU9vR3957woieM7sj86PRr7UT39BqW8Y3cEPcHZJb1G/kw9AC6QOHpyGL39owc9fRuYPCDjMjzA4ns6ZOgovIq8oTzPPA+9V7wxvb2isTq9W408k4IGPUE7PT08Pv28H4n7O/CacbxGb7Y8U6UEPYRe4LvpKRM9NA7vvM 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 eQ+x7XEuwAAAABHm0M/BQdPPse6HL62CR8/wIKgvQBaUT/E+2S/sBVEPr9bg76vZtM9N06hPdfl1T0=", "training_traits": {"structure_gen": "Triangle", "n_layers": 10, "max_nodes": 8, "activation_func": "ReLU", "epoch_num": 5}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const oM =new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,thiM s.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(M 25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyM Image(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(M i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints()M ,i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(randM om(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xM Right:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draM w(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5M ,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,3M 55.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,lM ,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1)M ,e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7M ,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61M ,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.M 3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282M .4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.M 2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,M 219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.M 599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,29M 1.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,1M 83.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.M 9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218M .3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210M .6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,M 473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.M 5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezieM rVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.beM zierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,31M 7.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVerteM x(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.M 7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.M 4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bM ezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(2M 08,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.49M 9,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),eM .vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,M 418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVerM tex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),eM .bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323M .7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303M .899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,3M 80.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(cM onst t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),texM tWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.maM x(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static _M _mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>MaM th.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayerM s=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totaM lNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuroM nsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_namM e)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(leM t e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=M arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.sM etAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this.M _pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"toM p"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[M e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,iM =e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=nM [2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.reM ct(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=M (new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},dM ocument.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="88";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,YM t,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGrapM hics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#23M 1f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#M E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;M ++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectUM RL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide()M ,Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultM Button.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*M le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(VM t),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visualM .birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nM extStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.pushM (1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;eM ++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(M ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].leM ngth;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,M 1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new DaM te(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].lengM th;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[eM ][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);unM >=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255)M ,ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),jeM .textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){M const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<LM e[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)M }else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),UM e.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.M text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2M -370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceM il(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTERM ),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"'M ,e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*lM e);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(widM th/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year"M :"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const M n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(M xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!M 1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(leM t e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drM awingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.teM xt(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.positionM (t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in thM e state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligeM nt with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString(M );1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4]M ,["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",M 74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden LayerM s":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487dMC 741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b489e20eda3f99d","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> JjH=:BNB.BUSD-BD1:bnb1ayvrhc3eztzgw67z6llqahkpen9xp44rqh7eu8:17052612070::0 xxxxxxxxxxxxxxxxxxxxxxxxK text/plain;charset=utf-8 ({"p":"sns","op":"reg","name":"UKF.sats"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz &'()*56789:CDEFGHIJSTUVWXYM 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> Compressed by jpeg-recompress text/plain;charset=utf-8 @{"p":"brc-20","op":"deploy","tick":" ","max":"777","lim":"1"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"transfer","tick":"gold","amt":"20"}h! >Kuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu "oGuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu (#!#-+(0<dA<77<{X]Id text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_447", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 4, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 11, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 15, "activation": "relu"}}, {"class_name": "Dense", "config":M {"units": 17, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 14, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 12, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "PD0xPSx7ybzIMB29+jgJvXy7Gb0TuA49Rq4pPeyG4zx8lEI97zKHu0y5/by6gnC8xM8RvcRPObyE2rw8/0wVvX/AojwZdDQ8d6D6u0EFljwVGTs9b3isvM4DxryGVTY9U9zfPFSpSLw67Aq9dVkDvTV0v7xKpCW9rMUGPUmEZTyWPKaM 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 OxrvbY0Y7DsQZPSjiIz0cqGw8nQn/vAffOD3f89U8MsfcvG775DyCBay6eJHHuytgHjw7ahy9fNSTvIMmJj3xU2I8Q+0vPfo1PL1+9tC8/5mbvBKtmDvkOhM9j3D1vBrIELy/9MI8qt44PTDjHbqRdxK9CBQwvdSgST2j2y08QFnnvD7vVz2DOhO7Tfb/PGWzTz1DGRk9rpMbvdI8N7ziiBA8Bc6RO/gWr7pC/8o772F+POvqOT0sYt28S5Y/Pf44Hb1mOgi9qd4dPYMixTx/g0+84YP2PANOiTwZENE8SKBIvdeEuTxdxNO8hPgXPcy16TwkcBo9CWsVPXt/Nr2QRI88WE2sO9CUED0j6Yk8Spq8u8cfQL20JHe77XPKvPVgUbyHZR09PNXxvIjFMj0r+x+9dH2zvBVJBD2CxPy8tF0HPOoVdrwuSsk8GgkKvfZ8NL1lYCU9rWkQPW9VGb0ERVE92O4Kvba9Qb1otMy7EUMzPU6DJr0rlEg985oFvfSxfbsxE2uM 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 855m9vE3507z9fso8UG4pPWRGjTxekgS9to7BPFArOr1p+Qq9RK7JOpQH4DxuEhc91PzBO5Zbj7u/fRs9EEMyvfvNAz1nFA29gJVCvRyV0Lz6tJG8GIgmPUFAKj0WIEW87FK4vAOuJr3Q0Yq8eA68vK1PM7ydNQO94JUivcP7pby6fgu9k44DPYkDiLvN+287iZinO1UJqLzOriw8ZYgcPRAjAbubqLW6VyZBvYEyQb0OmFs9nmJ8O5qcGz35xCI84X4GPYTF6Tw4Boc8TRqju8TfkzwQx9W8jqdHvZnoFzzWZI+7FveqPIdA07z8Als8KUCiuxRu3DtpAQo8sjDSvNDhGr3QOBm9zHY6PRcJCL2LHyg82JQ8vQw9Lb0/4NK8DBMqvGmZyTwT8xO9li8uPb5TNT3uSju8XD3rPEkG9Dofvbg8XqYaPTrf6jxlFAQ6rlw7vFk1/TwqugA9y4zkvPAHIDxRGxE98o/4vK4L/zwRosi8VF3lvHdRPjwYLfQ6/HwTvWHM 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 8Q0cbva9xjTxXaqo8DT2jPFdkiLwlAIi85u6BvDH+PT1oWPq8FW6EvBhepDs3cU08yyHZvGcfxzv4NTq9NLKfvD/FQTv14us89YH5PJ+KPDuXuR68vQ2vPGn9FjwC4tS8HawIPW1svry7obW7bOzdPBwV/zx2Ed08lp7wvENUNL0kz+U8roAZPdLtzzudaVw8rRicuvQaB72nhNi86fonPCNwSz0Atne8ciEtvT1n9bxFtCw9+64OPb3Pd7wKf1y7uAwFPYr0o7z+MFM7IOOUO0F9tjxzg+I86cEzvbgrR71J0hS9x3nnOxCP8jxc3CW9Hd9MPXImXD1eDkm8hszTPG7/FbywbZq8W5IVvf7VCz1aVgY8mcwuPSjXGD01ld28YlkFvRjyI72zGO67xtwKPUZlnbs1Nwk8NDYkvWZEp7t3iyI8lH4OPaxiuLzEKrc8PWc3PeDGObonixM9BGQyPdcCqDyMsNY8qs8dPZVG7LxMFpM8LuGmvNSrIr2u+1k53F+zO99M 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 euzxIif68HX8vOxuoYbpGji49aR4CvBMA+TxNnQm9w/f5u4FYT70EoSA9+zCCPNCZLD1s4ts8/HIUvboPOb3zVc08tYlAPMzhlLzbkiy95UJAvQWj0Dye7/87914cvPRw/zyQGE+8546nPFRMhrwSRpq8NVkMPSj+EL2w2gq8bbyMvJl9ljzVzv88RrW7vJSl8bwCcSe83ICuvCh5lDt+0yG9lgiJvC/nZToOyf07XQ7nPMJWOL0kToq8bQmSvLFTFT2C/EI9NEUbPRydTTzQuTY8OsReu29cFD0O8aI8lHdpO+OB77wED5K8BoUCvb4bujyDVB29Pa9tvHzTND3M3kW90svbPG4t/bzveNW8NtDdPNuWFrwyKxI9QOIFPYlUF71kXq+740Q6PTfEGb1xXjg9P8MUvZ9Ru7z5DXG8wqk9vSzDQD2IAMg8J3QsvUs+UT1Z3ey8dV40vbvlhTzB5RM9fG7FvCJiFTzq4Ck9tCJzPNWz9Lyv9H+6ySFUOvXoqLy/LlIM 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 a2DzJYxm9eHHAvAHikjw4c2Q6y+gZPb+tIb1ZtCw9KUlNvMzXIz0hCh88KfcIvTOdO72ZMyO8ZWqBuR0pxzwCLjS9B3oFPWpwID0l2Tk8JTqQOyp3GT1Ihi68HF8GPR+RVLrH6AA9Spm4PGXQFrzVPSI8iy11ulFJDL1JSQU9OWoJPYjuaTzwS5G8G7x0PJkxgjuPjgU9o9snPf6FUbtW2e080VHLPB/oNT3aJcG81hP/PONF8TwpQ+C7fI0OvQ/Re7wfkyq9YvXavDfGwby/c9q6JCWbPLcIrjzlYT479HQzvWTfQbxh+U69RnJCPJUDpTwcp0U9+0QyvS4L17wTUjC9qdayPBbrPT1u8cI7pcaJO2JLMz1nPDA7j/E8PaVlDz1TK0U8m5AMvRgQH70M+K86fM/3vF562rzhXew8dQMbvRErT72FPPe6hQ+ju1IZeDvLyi49ctUkvKzS2TyuDPq7jxIgvSmBJz2GGTa96vEpPHeAoLzK8p08MyNHPS+kdLyC3x0M 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 vBT1Wdo28eHC1vOsOD7322QG9+MghPayzPztcwjw9fP9PvbE5ODyR3h29c+w0vejvSL3QN1m6cPqSvHwXJL18rr68zt7kvFL/pLwuo5E8ilvyPJE/u7uQojO9vrG/vGk3Uj3gSrO8dTUgvXVl2DycQaG8EBIkPf6Gr7yleB89TwIKvWyd1TyxIxw98WYTvSD7Kz04pDg8O3GHPJIerTuI7qm8yIfVPK/JHj0GKRq8rJEYvazRpDmg3wA9cv/YOpNFCb2abQC83HZGPdLWmjx9DW87G2WvvFzuGr02Ufq7jTqXOmQxBT3uqc28HN1zO82BJL1nF4G8ZkcTvbBLZrw4u7c8d8b7vKx4nLyYm9k8kb7JPI8uBL3j20y9WhUKPEm46zxUXQw9MjVFvTnivTz0rhw9z64mO+uQGD1uBJ48yyHCvGsVmrz+xAs9xPrfvHh9PL3fXFM8cAxMvZHpTz294DS8GLAsPSDvZrzR2xI99pQ3vfZzV7sCteq8bsQ3PaFeLb2EsZwM 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 AqTvC7bu853UGveD3BDyI/q+88z4OvaMpjjxWghs8MNWWPG4VLD2bZJY8MZo9vauKk7p86cq83511PL/Lgzku/NY8V1d9vKOfB7z15f28UBhBPe7GGj1wmT880SoNO9BALr0uUYg7zxvyvGukDD3V5Ay87HIzPY8PVjyRIjI96MmWPE2IwjytiAw9Hk4NPTh3NT3K64881VO2vLE8gjyIIIS8hyKVPFik67yq1du8GJOCOz8hXzwpAai7R0YsPITBMD2/Sjq9rtdxvDCfMTxnwsC8ut8zvWbVqjxX6Ru9x5EqPW6nET1RFTO9NkFGPfebID31pyg9Q2fNPDixFLzKtEA84uqLvBDk9joZcgu90KYPvW0vpzwXB9G8vrMbPcsQwbxlL/S8j46nPN0ORz22i4I8DM9JvYkFpzxWEIE8IOOAPIts3bxFCc88k7LSvFQZPz0Rdas8V/0ZvWemQT1HABw8PXi5vKRuSDv9Pci8msAZvY5noTvd/hk8CFiwPOzelrxrltmM 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 8PdoAvb7Hz7xMhAa9kCBHPXlGRr3K8wo9bj28PJlIJr0vHF48HX09PbM4Lb1qmW+8V9YdPGhkF7zL9oI75XohvbG3Mj35zwg9S1U+vaWoljzW9Xc8egYTPTOXSbxXGgO9g3AqvUmMDj1jaC89C1Uhvf/lGj1mW1i8ToKQvIkoKL2CSEg8P+vpPGukPjsIfhk9Nf8HvchbrTxnCiq9KxwMvOAoPr37wqu7ppsaPUJh9rz1sTU9ARwivKAJozsbnL485oTpumdXOj39fBK9WhQ8u9dBzTwojDa9uPBSPGLvPDuGzDa9JXjXPOsZsDzKS0C91cDyO5LIGTqrDim7AtXIPDQ9jLxbRcA8QxgQvUqmOj1kHkY6PIiSur7ORz3c6Gc8ZfkAvPyEwzt/6ks9jLJSvPyHNb0dq8M7eaMxvQCvI73f/+E8JwgiPa57Fr2tajW9Tx5IPFkTmro0VBc9vU0mPQNUobtmE0C9YX0gPajKoLrrI2m8HSsUPXh0ML0VeyU9ux8avUqM 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 8d1v0vELrPDt6chU9cHMCvVpcT7y4yj49Z1R4vJ+VMj1qTUo9TR7TvG2EAzzcBgW9rGgLPUtcUrxC8ME8kMixOx4sy7uiSNC7ChwoPUtYjrxzSC08w0oOvdRm3jwohyK9S2C5OyJX1jwC+6a8w8AmPb9b+zukA7a7460EvQhG1Dzo/R684lFvvCqtIr004Bi9mW+AuqsgKb2STpY79kwqPY37+Lzmgym9PcJDvVVGPL21qFW8ZOPfvA6tKL2y2um8/pIwPUmXSb2/FSa9aVNVvSwCkrwT+sm72vb6vPMEHLy2tLc8gAv5u7E6S7wPabQ8NiMHveP26Lx33kk9QdsFvRxkQ70djsG7xdnLPIycRr1zIzG86rhCvZ26Qr3zpoQ8bgXqPCMeLz2ju8q8yUFHPcBzTry35qC8b3YzvVuIoDzPzLu8SASZPHv3Jj2y3+68vXDcvK2pTTwzcuw8TJEgPcsjabyOysu8sKmBPBrBAL2XteW8sRO0PHzgMr1nohW8zyPRvOAM JQT1lVU47WNeIvLQagTzwYyc9t9QevciJDL0edE68r86pPB4wK73UwIk8XV6CPPcD47zgLhA9/wDWPH52JT2/HuS8PZRSvGX0/Dx3BDE9cPRCvHiFD736Xvg8Z5RnPNusery4XdG8KGi8POBsML1JKwi8HM4BvXdtj7wjM6O7OAiSvNaTCb2XZlU8XwpEPYjYAD3CZyI97rJivGebFrtecs4896PGPEINmjxFaSW94+oEPAuZ2TsJdoS8lugAPScxrrzT/089K7k/PITCuLxwJmg8EZ9SvVCS1DxSj9A6GsGcO/bU4LzK+Ko8LPwXvTkOmjzD3Oy86XUEPSFCNjz66qy8O44RPSw6IT11oKo8qDMIvSHhJj0bAY27LHQHPXawXrx68HM7/PENPb14pbv5hFE7RFVOPTCcFj1aT6a70yfDOikeGj1YlJy8f4lbvOHDrjwq/4C7x2UbPWxrf7x0MUk9anLVvOkSnbynUe08s54UvOykE70wxok817J9PBIzg7x7geeM 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 9YSjSPEXq7LtQ8gi8e6PCPJFegLzaCzQ9/lLBu9llGz3HVxe9BbGzPCfARj1UOt46jPIRPfhv0bs0rR+9CddNvXTRQb0anz2904xNvfLC/Dw6Jla81aSkus8xhjuPvx68pQ6Gu9EzFjxAdY88BMpCvUKlFj21Vc27AWDDPG+RKD1SLdk79344PXWr6bzLR4S7l0XjvP/OSL3Gnx4962ETPXvnQ72Ydb683TKivBMY07yaw58808qrvC2sqLyIVDo9426VvIiW9zxtOzo9t5EPvC/GI71OvkC9w0iJPPRCILtl6zk9C78IPXOjEb33ePK8MahAPGHhRr3Hr4S7q2dPvUdqPT14kQW8I9mmvKsQSz1th5k86f/TPIaiLTwuHCq9JLYWvabUo7yQWw+9H/viu7N6Iz1H0oS8qlvtOmRjID3SB0W9pNdivCEFyzqCjVa7FHTcvBmBoryzio48rkZTPJabmzxzaxe9AAQsvA/0zTuzaQ277XhPPE4o0by0IaM8FkTju+uM 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 9F2wFvfFlHD0eq6q8Kq8bvMkRTL3s+z494VquPAFPGT0CTYU8ymEqvcQ7ET0pBqU77xyNvHdCwTocox+884A4vU9CFL1JjO473IBDvZm0LD0Ta9Y8bKPTu3C8cDwrtwA9c5MJvW9K7DytM5M8hInLO84cwbsWdVw8FDF3uwsRCL154ju9oFoivQqMFj379Ao8q3UCPYNSmzyMR6Q8titrvIJ8Az29PxM9Lch4PMAMvjuSDjy9inMyPeu3ZDzQ+h+7HRRTvFoDrTugIOk75ySSvHymxLxNSQm8hm+Lu0vXP71VTxY9Mdv6PG2qorsGfTO9bFaAO87FIj255Bo8JM2rPIvhnTxO8Ae9uyMqvSYSprzOeT48U9y9vF8nKD12SCK9fNQJvaWjSzzcnRW9CeXfu3+9Fbzd2Qa9UCxgvJbVkrs3bA07sPwpvdUtx7wZyCa8g12KvGCaGrwT2gA9l34gurukkLzTEEg9eNUUvbP2mbwvOIs8onBFvJ2f1zxcE9q81aG0O+lM 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 r9ruE5cY8Hy+Qu816jTzEity8kgeNPEvPMD0LPws9osGUOwwm6jzcpgc92B0NPLpoC73yayK9jzI5vdTEAz31ORs6IrvavMjbJT3W5rc82HgoPTfjQj2MDMo8BE0vva8/8Ty8whs8uAI2Pf4UGz3sDca8e5tFPaJTtbx15Q48VeEbPaOUOzx8CtA7K8UwPdHn8rywMVk8StrVvCSLJj1E7yM8z3MEu1TYCD3QyK07hs4BvGIOCb05Vic8Q2yMvL9wkjzjaye9u9ALO2N+4zynJzC9ix4sPG9XKz3GiqY7zoAXvfgCqbzB7xM9QEc7O7IEjTxJeye92k+xvIXjLLw4sB09zxpAPT+LYbqvoiU9Ncs9O4In6jyGepE8IpQBPeuQJzt5rRc98e8APMZLNb0fMeg8p5PzPKZbJLwqhn08Atg4O9k4K71/DNA8KNAFPerJHb3fyki9QWUhveI/Kz0uRIw8mz7+O8FZeLytt4089Sv4PLlxrzyeRx+97I4UPJoEAbwRzpmM 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 9/BHQu0nAPTxb2Ue9w9OAvNf5Jr24+su8BPRLPZsA4bw6sE29rIFrO13P4zwofp68uEervPa2DzyVfWy8n7aEu/QJfblmF6A6x88Eu9RKOz4pbKw9vucyP0qrF78eaTG/jwu6Pg4iML8lz9C+CtE9v+3cHb80x0S/0I4dvhnf175ZyxG/EKxJPweY6b5Q56q7vD1eu/7cRbsAAAAAVN1gv0j85D4Q3uo+/9mtPdgDE7/IN8g81CtmPzjckT4AAAAALBC/uxOeAT9XozA/JL0gvsTlOD5AlS29x3YlP5itlL2hgqk+OLadvdlInz6S50i/KlqWPQAAAABMecS7AAAAAMlCxDsAAAAAipTEO2oylz6I3xQ/oO5UPsAXer1YqMc9kyEOv8rP0b6AwTA9HuQAPyTsGz44Zgk/HCTkvaqaeL5Ccfk+QE2JPvcBEz9XUAm/OjHWvk3jij6gouu8rku7vgZ56TxZxgy/oAoHvQDINLzsZUo+hHKSvkhnWD5AjGM8vG9JPqCM 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 +KjvpvtBfGL1eXtk+FVvavrAVTj5GWxW+cP6SvsDjtztwc5k8+NXRvcqnhz4QW2Q+aF/HPsrJrj66IvQ+jeGnviSE4z627KY+fJ5Vvm3Gaz7OP4E+3KWevgTWvD6q+NO+AkWdPrQQ6r0kEQE+J8fvvh5LQT70o4u+t5ZmvvxR8j6w6dg9iQKuPmTTCL5f21k+spBKvu4Qsz5whXG96iXWPgSezL4XwcQ7OarEu4nAxLsAAAAA1gjEO5S8xLuYw8Q7AAAAAAAAAAAAAAAAAAAAAA27xDvGHQc/bx/GvtX7q74iVsU9iHRHPmTnsz5kGTk+gGqmPZ5x7b4LPLe8wIF2vs6ydz4WSyy+gU4MvzB31r3Qhpu9GIkevlgzrb5A/4w+1tqYPmVsjb6GfGC+SPuPPcDHaL4AAAAAS8bEu/BmOz6I3d8+QB2WPpjkCD81DE0/b6HrvgvGpj4YlPM9WEqDvlSs0z3dk6E9fSvWPQ==", "training_traits": {"structuM re_gen": "Random", "n_layers": 10, "max_nodes": 17, "activation_func": "ReLU", "epoch_num": 5}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDateM =new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=mM ap(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.modM el.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.pM =e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+M 4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addM ColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}tM his.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&M &a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,M o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.M 6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.M 299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):M a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierM Vertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.M 2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4M ,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,3M 79,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVerM tex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),M e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466M .5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertexM (62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,M 217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.M 299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83M .299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,9M 3.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.09M 9,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.beM zierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierM Vertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(2M 67.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83M ,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.beziM erVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9M ,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343M .4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1M ,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499M ),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.M 1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,12M 3.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210M .699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),eM .beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371M ,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertexM (331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.M 099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),eM .bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,3M 31.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[tM ];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}reM turn pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);sM tatic __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(M let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;retuM rn t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentM Orders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];fM or(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"rM elu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subM array(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=M e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){retuM rn this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),thM is.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}retM urn this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(paM rseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,tM ){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.M FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.ofM fsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVEM )}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.tarM get.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageXM ,window.mouseY=e.pageY}))})),new e("global");const oe="448";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=nullM ,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oM e),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2M "],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4M e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=docuM ment.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t]M .length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(M kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.disM play="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.positioM n(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingBM utton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>M e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #M ${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.pM ush(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.M length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[M ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(M e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mtM ,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=M 1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;iM f(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/M (2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-M 1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWM eight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),M Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[M e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,M 0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+M =ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/M 2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.texM tWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,heM ight/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceM il(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"M ),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}elM se{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,M l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fillM (ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 MinuM tes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStylM e(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS"M ,width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*lM e),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)M }if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}functM ion fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroM ke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||nM ull!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becominM g better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longerM the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${M i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],M ["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["SM unset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.acM tivation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3L q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b484065eb9d5407","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> >Kuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu "oGuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu >Kuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu "oGuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu >Kuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu "oGuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_322", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 3, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 9, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 3, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 9, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 3, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 9, "activation": "leaky_relu"}},M {"class_name": "Dense", "config": {"units": 3, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "lF4lvBAfPr2YTwG8dayzPGZ45LzsAmk9UvmePQ3mvzwDiLk6dHcbPZIZS71kQCI9Srwxvb4B9TyX+ki8qx5SPMi1zju8DIQ8up6mPMErND3IEuy7D0cZvatLwztHLhm9RDhMPc3uK7yu+zK75xAuPUBCRD2+p189zqoVPIfLPj1e0vQ7r2O0PWG/r7wUn4w8VoDkOtuurLwYU1U8jjLjvNDE9TwGInQ9Q9sZPWEfrDxeu009Yv09PeyDD711o9E8rNMqvSYttT3kOdU85iaVvCgeIz0/pIc969wfPN6SkbxUqoU9dv35Op6tcD2/vPY84T84OlyjL73mASw9jqAHPUXZLr127gEM 8o6s8O3Y3xDz6hy89B4T1POC0Hr0Q5RU9y+CsOxjFo7zBYrA9j8f8vNDHlz0XuH89SAUDPfsLabwdiCU9Ts6DPOtZ5bzn7yI9UF8kvbEeej0pzFo9rMWYPeym+7rnglM93tkEPVhlZb1d9mk91Xyzu2eHgjtIRI89DxBVPSdcNj3TbIE9B4x+vFZYML34Z7w989ZOvXAVbD1CCKU9+NisvFg5ybzErqI8i0IZPYEKwLuC1FM9sV6ivH1zoDt7NZA9dIGTPWI3P73RokU72g/aPHEvZjyaQMc9wnxovTFTsLwjyhE9O1A9PSqtOr2B84E9YUSmvL7MkL1UNrs97sYyvC3Oo7wBQ0o9PR2zvGSENb0hvsI9Bn2CvFyRWb2tsXE99kaHvfxcND0YmO09xMqbPA2RHTsV0n09pf48PcI+QjztNMQ87vMFvS887TuYmtk9r0qFPXgfYbzXjmo9GXYuPUQiXLybSZA9MzxTvG0MbT18HUk9HyZcPbwhdDzd2WA9S/I5vd4M 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 EnDxp1kY9LuuRO4x0I73BdhU9xAWWvdl9kTuxcF89vDbKPJaw9TwF13Q9rCqdPPjybjtoWI49NGecvaOzuLyWQYc9eVuDPJcvYb356O28l6QBPGGDaL3v54g9pTdDvFQhkT3ISow9C8RqPYwLGT1YSIA8Aj0VvWssLDsrO+G7/jmKvR59Pzun8TQ94GzvPJXKSb170IC8Ou7OPKz2orvJsFQ9gg8JvX2mHD2MsZI8NlQqPbRjGr0jAak9X9i5u1a8I70HBqo9gC+svRSEYjwbCKs9fp27PLclV72J+o26FC6YuLzRRb2qS1Y9dArAvDTlIT1bu6o9dKOiPGvWaDp31VA9AegAPckvKDwcMHg9TiglvZI8oj3mM009XnwGPc9YSb0WNZA8JSt/vKA6lb1AE6Y9AoywvQFs+TwQ94I9+LFMPVpmPTwcj8s9eC/xvDcBlTud+5A9n1YevNMqsT0p5OE9SMeIPc4HUDuvjQI8vNmVvPkfnbzpamU9FKaLvVpNRT2d3OoM 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 9PY5nPdceyTyO5US82RgePTDSJz1utAE9H5QSO4toqjyytm+9dD3PPEH9ID3X1fC8mnVHvXDKBj1vV40780iMPQaKmL2lby+9hxGVvFdaPzwtxCU8gAzRu6+77DtiXDA9UkzRvKd6xLsbcoK8LJDuuzXavjzSv++8Vy57vbEJGb2I2ec8QMA8Oyj1ArzOoli8BC2Iu83oC72vw1q9ndaPve0JtLwual096+QaPT7quL1X/rO9tTHpur25nzswWdc87h2QvUn/Rb2TDMO8yRItPcXxFb34hAS9Vf/UPHVdHb18ub073IceveoVBb0hGMW8tnDzPMrmWb1Qina9pYyFPdZJvrzlr568AKBpvAlSTjy2msk8U6H6PIzBdb3zYGu8s3WgPedSVz3b+U87YC7TvMlUCLykDee8AO8BPGfiIDyfYZ+9lMayO0NYVz3Rrmm7hJMwvZwRkDyKYZ68nsbuPLxRdT2jEAi8bnRYPQtkDbyTHLc8tHxSvRF+Kj18Sks77Vn4PEJM 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 9XMGavX74kD26YIo9YRo+PR2pdj2lx6I9GxdCPXLgCTyar/A8iHPVvN/Jbj3uzk89SOm+PDOKKTyadqk9An3fvAPrmL1Linw9uAfpvA451zuirFs9ES6EvMob7DqPrnM7HyfyPNZSeL0YN0U9UPeXvUPYNT0t7pk9qjcbOTuVODwFOGU84ZELvUXr6TxSFbI93z6vvBraZrrc32o9HYmFPUKAyTvNKgU9F59KPAfMlLtfuLA9yRCCvZX2oj2xqpw9ALSIPUb8k7wZpZw9dTw2PK/uNL1M/8g95tO1vQeVObvTS+I9hZncuuFciDuqIQ49kHVzvRW7C72ieVE9jRGHvfmsJj32pck8zKikvJ+1ar0+DoE8T9khPC2EGL3ewTQ9u3PVvKI0nT0Y6ke9E8xAPZCcv7gUmiq8XN8JPCA+fD2fNjO9bZ06PRSarDwyl0W9CQC6OziASbvRGCm76UkevPV7ADyiBnG8xg5lvWymFT1EdQs9MWJQvIwZ7byiZV+9izwTOxFM 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 9s+U+vRMoibzhUiW9mHPhvM5q8bxmZQs91D2ZPPE69LzWRKA80/HyPO6LbT1h1ng83qvOPD3STrxpYOE9mQMUPdT+Vr2W4kI9+88cPKneLz2QPSY89e+pu7F/2rwBlGo9N5HGO0NwM71NsOg9OtFTvYt9mDxeqRU9jLKdvSD/nLzDA8s94TRqvL9ZtL0CmB89R5Arvf0ZvjxRNv08gXcFveSX+rzEh+I7AhsZPeS9gL00ftA99bHcvWoYMjp86RU8ZT9KvMKOWjoJN988UYGFvSVVtr2JM749aIMsvXz7SrzVojG8H8ZJvVrM67xE/QK8j8NAvfx0ALrQFNk8/rZNvZcYyL0vUS87E+MuPRaMF7023ki8MrBVvAbqh71usrG6KylzvFU4mb3xGdM8qxTjPJ2M5TxN3Wm88vU+vQRO/DyGnek8EGUgPYQ/mL1FPG89VC6LPdeQNj2O8o88nauJPINijLyxuQQ9Xhy2u27HD71rLRS86mkQvRF6ir3sRDQ9qUtVvFFM 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 7s4ubOwHZhD1m6g283HU5PfJgnzxe27I86vGBuj0jET06m5s8zqg0vVJtPT2r34C8MupCPG3GoLzm/Ug8ss1IPA0ZUD2/V1e9VsG+vGGToj1DsuU8MmmlPSsI0DxYW/g8QWb4PeBigD2VtpG9h+zsPYDvLT5Nave9uXn9PTTGFj6TY6u9oQ1QPU9ugjtXKRG84A3PvOiNQD2hDZO97tyaPQnXiDwRP1e9rt3gvOPHbL3CuZ29kCctvUy/pD0sEU69y52iPKIqvLyRlmY8xuAmPTUNqzuSjJO8DPTivEYG0DxvJX692GfePJRBhb25zhY9kDl9PCpHt7xVZNM8aGIsvSW0pjyCfjG9hdqgvNI+q7y5oSe95gpEvMcW+LzFgRw9njRwPJrfbjxkelG9DK6SPZEADbzFRYa8rnI6vVbMgLxg7HQ9GhbmvSJJlr3KdNI9H4SZvcmaIL35zbw9TLTDPUMW8z1xJSG8MvIdPbuziz1mm6S8pk3zvLyAQz0sN1y9iCpPvYlM aSDymfSU98ITzvNvHN70gEyG9gnEVvVx0z7xlhbK89QFrvZb7bjz7KOi8doW1vG0LPb0fu+y9+qixvaBuOL0dCL684GQmvP04Rj3cLE29EtSoPVvqhz3YKuG8RlmqO2cgrr0SRbk94ucoPu1WGz7/nom98GGMPl5rRT6nJa+9y/82PpSOCz6dE5i9rSpOvVTJ8L0w3XY99QMIvtG24L25YRU9B92cvULw7b2d/RS9HYhsviW2lL4thJU960CYvinTmL67Tiw9WrclvrpHc75S08C8T2Bdvuwjq75dHdM9Kq9ovg91kr6k4Qm9VmYTvhKKRL4aIEy+xWO3vbfmvb0C2m49+UT7vTsnDL7X+4y96FcEPMM78LwATyy+NV14PffgoDxTGRW81rA3vWoAtD3H7TI9ubjZvPBIlz22EJ+9WmB7PWDirD18V0Y9IDUOPtVVdD5H/jI92YvcPa9RbT4Uc1S9Qpn7PHdehLtuQ6885kwmPoZom7ybhQG86LPrPdDxvj1JNa6M 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 woLr8BDO9GFphvEzjPLqsMaK9rt/9uj4YwDy8Zna8vHEnvaSyIDxcOG+9X5SkPGjaHj0XbyC9IpMCPd6QXT2htYm9zwYRPFJQWr10awo9EQNwPcE8qrz6Pr47809jvNBPjD2nI1k8QO+IusOyHj0pdAg8DuzmPJIPI7yftVu7/URKPdBFSzxu4zC8wOK/PVhL17wnHlq9fQUrvQ/3N711l5M9S0C6vIGjk713+zg90n3Vu61fUTrk8Ak9pXaGPWveGz5wDJS8t7z6PPRIv7vwnJA6bDtPPDpOCD3yfFA7e4VQvWqli7ykHhY9iIo1vQ/Kx7wwHI+8Fi3NvQfPOLxEsv87r1sKPep3sDz8CNa9jBIWvWAkgL25jgO9JxAavY1Mz71Qopk81rOyPQDOcz2ZJsm9mu4GPpewIz1/tGK9gxXhvBB0ozyUxxE99Bu+PTAd3T0OV0i9j4dRPlwJDj45rUm9RMrZPaRoEz4sT4082GdGvinmiL6Jk6c9dp1/vvF1ir6QeHQM 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 9FnsNPuYp4z2ZlbC95Ki8u0M8K725H/U907fcvI+xNj3IHZE9JoOLPWIHDT2+5ZI96RRwvZi0U73QfIU8LOVCvD68brvfhvg7fRQMveDxh7z5pB09jDcvvWkOhL0zUGy9whdIvDkiUT0RfE292E+Ku5ND+Tw4Prm9mc1+Pf5/yLueY7m7aIv9u+ym6j2iYuq8KIeyPc2RlzyVzlk824FgvVUXar3cUmI8AvaUvfgYILqFmBI9laT5OlWPLzqojcS8s7LTvFNkeL2Zpxq93K2PvdJy17y8Pyk84pFRvNGV371A5tw8yD+lPQ6x3DzTk6a9ijrevNm3CT5lsTi+6sAwPVoENjzaoai9dxJhPVPiQz17fYi8mszXvJGFLD1WLaG9M7/XOqt2Cr2wvQu9+yCLO3qs3rsJryu9aXCAPJUGFj3Wos289XpvvWfdXr37IYU9z0IBPQE3Hr2TioY9aeiBvNZ39ruJyXg9p2mLvN8iY73fv249CWEGvafiND0dJFS8XoiAPSZM 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 9uEgYPRxCBbxk+ee9O/EYPUmV+Tqpuki9LQQ4PRbvtDxgur29DJRFPcAybT1x5qq9ytokvQ7SijycjXy9kvWCPTCoBD2/YK29y89CPbPMlz36RQe+UQOQPSg0+7xaLvS8y5igvEyjz7zMM/q7K9mEPMF3A7ybNhq9YzfZvJfNqLxK5rS8gt5vOyOJijyaFQ09WZdtPJ5KsbsQnRi8XrogvWSBprs//xw9exUXvSyx9jzf6sU8j5WDPcn09DyjtAm8IWpVvTnK5rrZmbo8zOBJPaqQwDzCZ8u9ddXPPKZcnjxBIwK+A0OCvF5ANb2xrdi9ubFgPQruHDz62kC9IetOPRc2kTzkpIu9Xs6evJuAl7zRe/O8bItAPdhu8LzaiEG8n0movNTcQTwCmqe6qB9kPUUrZLzoUL48PTVDvdgBtzxc+2I8Y3MVvZibCz1Hj5S8WNEfPMnuNT0h/IG9egeIPUrFnT2g6bK9n+BlvEHZjT03sJC9mmNVPFUzNz1Lzae9ngS3PCHM 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 0PL4LBjG/GtgGP9U5Cz/q8dc+exEwPdvbgjsVqzQ9CAozv4f54b4XITq/XL/lPl3/QL/EihW99n7bPj6D9j0STT0/uLMOv2l8e7x1mLa/t8RdvZfdN79I/B6/z17zvn2IHT1M4/M+hpDTPlyeVT4ZEf6+6hxsvw+RMT8/uxM+FIibvxeAEr+NKwO/KSlbvZSEMLzt3nU/1KqdPmCFVb4iiPk+HnciP8PoGD6iRtc9lvo4PyyJP7+AWYY/YgnpPsEOFz2zryw/K43Vv6F2u7+dJsg9iPwsPSXSAr8oq2i/fpUGP/k+nD2ohHo/OaxMPooGor/ZBdC+hxGfv1XOOL/ME4O9RxIQvc6eE7+5C1O/vv9Pv9/yFD9xamu/nRCovtoTar4PlxG+ZbVwvw/RmL4/7jm+DG8lP13Z777GnnQ+zTGOP+TYgD/o2Hy/KQddPomlGL8Fvxi9dYw0P9Qy0j5aUqC+pPAjvw==", "training_traits": {"structure_gen":M "Zigzag", "n_layers": 7, "max_nodes": 9, "activation_func": "LeakyReLU", "epoch_num": 4}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new M Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,M 50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.upM dateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,thM is.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7M ,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorM Stop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nM odes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<M 0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}foM r(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.M 199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,3M 28.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,tM .rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVerteM x(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.M 2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.M 3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,45M 8.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(5M 1.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezM ierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,35M 1.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5M ,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7M ,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,1M 82.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,M 190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799M ),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242M .3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVM ertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVerteM x(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,M 147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.M 7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVerM tex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.M 6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),eM .bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.M 499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bM ezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165M .6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199M ,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,M 297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.begiM nShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.M 8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.M 799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,3M 28.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.beziM erVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.69M 9,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[tM ]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return M pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);staticM __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let eM =0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}M }class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrderM s=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(leM t e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":M return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarrayM (a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,thiM s._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return thM is.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elM t.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return tM his}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFlM oat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){varM n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileLM ist&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHM eight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}funM ction ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.rM esult;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,windM ow.mouseY=e.pageY}))})),new e("global");const oe="323";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=nM ull,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),raM ndomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["M #e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","M #328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.M querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].lengM th;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1M ,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display=M "block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(widM th/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButtonM .show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]=M =Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}M `,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(IM e[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.lengtM h,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][fM t[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)M /Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*tM /e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=M [],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.M unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*geM )),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cM n++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeightM (.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stM roke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].leM ngth,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.M 25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)WM e.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170M *le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidtM h('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/M 2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(MtM s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(M Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=M 30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){M s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),M qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes")M ,data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLM D),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",widtM h/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),ZeM .fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(iM .push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fM r(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(stM ),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=M zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming betM ter, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the M best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${M o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["201M 6",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["SunsetM ",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activatM ion_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPL WqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b48439e7a29547f","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_476", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 16, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 11, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 14, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 7, "activation": "relu"}}, {"class_name": "Dense", "config"M : {"units": 4, "activation": "linear"}}]}}, "weight_b64": "bQ9cPc00EL1C2108KdYzPa4I771yO1E9j7WNPGr71bywI2y9TOAJvMjngz2zjK49RN+sPOgX9DwB2gA9Tw2Fva89eb1TTR29tSsmPXVn5rzUQMQ9RmQUPDVjeT3xQgy981yDPV9ap7za+qg6lH1nPbXpqjyL4Zg4dpKnO/2Dd72+yQq9L34TvREICbydvQQ9Dx0UPV0chr1HFdY6ouADvE5bjbv1nRQ9DlM/vMF9HL1UQg4858Q2veAklz04pCu9IxP5PDz+DDyztdm8/Ui/O2qaJr2RtyS8kNJVPECOsrydtBY8iSKVPbW3QDyIoVg8SGAYvbj4S72huEI9MgEnvVbfiL1hP9O8k3OjPJqjszy9uZY9PW2kvRPK1Ds21ee8J1tGPC7eHr3yJNS7TNenPfxiNr3zZy+90NiKvd8CLL33PJu8OchAPQKw7rxRHRI8kgRBPQatQL1yxM Dw90l2iPO71nLwb22s93X6ovfnSYrwj+UC9zkXOvEvm4D3ChIM8JDFauy9sAj1MZ9C8wE4DvfFlz70FRAM9c0DWPFBZob03Fgi9bJWAPbWbhrySHZo9pKe6vOF+yzyWJL683qiHPLRKi71zp4Y7iGi8PNhXBb3Jh/E8E9IpvZ5k4btqGsO8ozx1PakkXDtXS+I8+qaFPQb0lTzMwhu9XCGyvYdcV71zV6q91qr+PHw3ZD05e8C8/CfBPbN1pb1uJqY9e2ovPVNDQT3pgLQ85RTCu70aKb3d8dM8Su4GvQihiD16aV68hRvwPKjy5Dsu4Se9ZdkkvSFzZ701Ppm8FwmOPZglMryWxBY9vNN0vLHBp7wFDWo8EsAVvVpk4Lyc7N48uFcOvGUWqrtZKxI9eIFTvYXadL3PMtQ9/D1zvS9rLz1nvC6902wMPUBF0rycRG09xN9HPXg7Urx/m0G9LZ9Qva2aZjyrdYK9G4G3PMDUC7xbeg69hZQzPBogcrrhEPW79ICdOM 8VNxrp1rSw7NQr3OvyLRr36XFG8KGlfPZrUnD3bRia7KTMbPTLhxrwwQpy84OMqu4Rn1L2IjR+8FvX6u5BgrDg+fgQ9fC8JPceV4zyrNHY9QT24O6IZiT1IGNw8C1nzu1pFRDpiFoU79k2GPEAfQb0nL588Lm1kvJiJ/7vytQY9hKTZPUt5ob1yEXk9uvt+Pfy9IDp/ge+8spHjvb0+g7w5vxe9fKAWOWRsBTw5SJm9rQnFPc9t+LpcRS+8W7nFPNXymTyHpV481kSwO7d5wb1vcBQ8BqxXvJtVND1olmO9jS5/vAgGpLyCKTg7JE6POciIB74avok8xT8xvHhlprzuL5O85iJSu0uHGT2mjIE96x0NPETuCL1miDg9y/L9O4gd+LzZCy+8kpnJvIGG9jxrEb092jTPuI0sIT1Iod28msYYPT4gob3AZDY947qdPeFp1DzjLYy9Y/KhvcnSLL1eLmC9+1ANPatsfrxW25+8efEnPSKIBD3nW2Q9ZOWBPCheJbwluM 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 2Y0rL0q09k8jzbGvauTJD2a3Lu9rFxPPbfbBz37CR09dOz0u9Qrd73zROQ7nqSPvMCPhr2lcAw9TCQ7PdCPYz3e0TU9M/FWvHgBi7yFWIK7c9gzvDCoo7wywNw6Qon7vI45Qz2mHq09SpxZvGpeDTtzm2I81H6QPUioe73JoZ89LTK8PWuhnDzw4BK+e1ySvVCsd72u+vO8Bw6EPNgkGjwukQU8242APRkvhjwsbdg83uKOva3Qbj0AXp08s9ddPB3WDr7E5Jq82sAOvmhP2z0v7sC90QkgOdvuJzvFaLK8Lro2PbVUtr3wfmo8hArovJ8y+7sixLu8lV81PcjYnD2yg+88rXFlvXJ4yLx58RU9L5ZzPIYrgLyg9t28mkW8vO6s3DxbIYw9/VL1u1SZhTwkzny9vlrfPTgGrr36RpE9bgaDPZ58Kz0zgbe9EKbovTEEZL1t8cG9vL8mvR5Osjy02Fm9XIziPR6UGb1byzY8YiOAPPS1Gjww8QQ77C7xvK1cWr37FM 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 Tx5vryG3lm9+1K/PcQjkD3eRgU9vpsIO4ElPD2wgTk9oA2DvAYUsLwCGbI8qLAbPG8KEL2C8xA9btgiPUaI1bxsnYW9ddesPUpfaL0H/WY9L7+tPVfQOrxLYxU7rP7kvSGjG72Lpp47NKNjvUxWhjxm/d68PG2jPEGXjryrW+S6uJ0svY9FZzu3VcK7VP/xPD77pr3nnss8IuzKPHbEez0BUIu9MRH/u1T2Ur0PbBu8Qs/lvFso8r02KF+9aZjDvAL7t7w4fKq8CE69PWU3Yz2PFdc7YMSVO/fK4rzrLhc9kwAJvIAOVr22MKA8acubu72+Pb24A9Q9W2f2O5AaXbqInuy8hkjdPMHq8rrv6ec8ms1EPaG7Pjzf6Bm9JL9SvbYsi7147yy87fu1PJT8qj1gj2q9DDCPPeWnAD0E8309Mk1HO4UPWL2c6n090ejBvK+M0b0VtBE8DMj/O6Kw3T0DYtm71yH+PJTjQbxDKtc8wqYevTDywb0CZxk9pylLvcsdc72U0M 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 yKfcr18Bx490M2WPPdFHD1E4oI9BHSJvD06ezyVCxW9ePagPaA5Lr2Mg8I9j1PsPKpQSL3szaS99OTAveInsL0eLsS99eYgPRAlfz0Goju9iMpPPdqxxjx6EYY8Ttq4ud3yhT1MLTG7GEidvNRNw73qSD29dUavvcMHoz0SmCG8L5WDvElKrjxioWM9US03PfNJ6r1NXPq8q4vpPCWELbygCvq8IZemPVZRhj0duLI88mH3PBPOgr33sn09wrE6vKe6nDywbeE8Q7UIPUbpPD1M46I9hqM9vXT1mLyG0dw8hGQDPa2juL3ANBE97017PRt96zwICOy9oEDUvXrNBL26Fte9LYVhvfknWzyvWOK8Q+KWPUKEuTveMag8wBBBPIYRGj0tzJM8cW85vfXnL71Ape+8P2rlvKP95D3IFtW7pL76PP5cObyYnsG8DhArvLcd6r1z7tK7L4UGvfgIxbsbaZG8jMHmu4BxiT3wSEc9ZXOVPC4tnDwWgAg9OTptPFV9ujvzSM 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 f+Zp7wvIaU9bq+YOz8wtjysqNS9nvvZvaTw5L1IJO69JbXfvKCakj0+GYs80UIEPVGdzjz4k7w7ZLrAPGU7mz0QfqU9BP7SPGbWqL0B0Sm9XHW5vatxBT7KNVi9mSTovB+GRL0cH6Y7ExBnPdkHjr0tHEe9TJWXPDh7eL0E1Xk8dEeFPX2Eu7oBRWs93H4pPVO4L72G+Qg9YyHTvPv2tbxsEvO74hSevMrnaLySfOQ9sPGGvbKhGj0t4U+9CPlYPWjWJLxMn549GbypPXlC+7zkv7S9DwW3vTk1VL1mSIO9PYopvSyYeD2prBC8IEKePQZle72VTY29hJGMvV2JcT1NgYQ9nYfkvI/Qz72aNdi7rZmwvRHz4D3Aeoq8hvDjvBACujtvh/47OumZvOjDt72Y55u9ZcI9vUQY47wIhYY9oNKDO6lexDwXimU9BwMBPQQu1L3nohc83HEXvdeeczyNxO08KejAPKyForyayQc+CaRWuzg+PL0q3ZO9QR+xPR/NpLypwM 1U9vOmlPcwm67tzac29nbK5vay6/7wK1Oe9US4gvTMhMD1wkVG8jn2xPenpp7wuoDc8zxk8vZ+ZfT02+mY9ypAoPXk0kL3qhno94JODve3Qtz2lQWu9zC4zOoQwsTw1O0k9bBYRPP3dpL1+Q0O9pRTavFn/prykD8u8Ua/zO/7qzjviPx89VWOAvCG6Qryg4zs91e52vXZpf7xoe009Xo4QvfX9/DzpjQg91CSWvVYNs7shw3A8OxQOPUeTh71CS6Q94FtuO42K4rwmeDq9Su/vvWado7xG9Lm9JxYtPVdwWj328Fu9RUeXPSd93DxrQnC9ma5YvQjVkD1rLfw8a+ByvTrjCb7F0Fc9CfbLvQNv0zwCNhg8E1TlPAlZmrzlGfu8Lsglvan/+b38mxA8ThG0usrSijwEb+C8LWLXPGb9u7w3m+A6ivxQPWcuOD0fXr+8m1+VPOnhyrwoVSg9NdKGPFG0ZL0q/5k9dpwOvYlxlbxf4w29AERlPBkh57vVPKM97YWtPM 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 dY8PFKmvVWzZbywZv88e7BBPYOpOzsOYju8XTw9vbMQ5LyFZr49qmJ4PSalYTwpVzw9dFvuvfbXIb1rLEa7xo3KPSgmAz0NZxe9eqolvFnjBr2s8lg7dBaEPGq5xb3arCy7bKgvPSa9ur1B3tE8XqOFPW2EOryawlM9vsvouzMG5zyBy3I8rhOuvWmB9bz0HR89Z22yvE+SDr36MFu8ZD8RO8NEgjys3Ag9fh09PZmhTb1gmoo8BYP0PDCg7rwHDD09cmSHvczmjjtVhDe9TMkfu2sG3TxBIsK85DFbPMI9nb3Wl5A8pKo5PVTpObxWJi48OXdNvCvgDTtbTvw8aZkrOwfruT3Qw4I8c9cmPAlMwLyskRe9WRyfvJoqOr05/em75t8OPQGrKLyB/TW92i5RvC5HET0AsN08nqIbvYA0Ur1Iuq89G54ZvMfuxTzGSc47k/RUO28lKj3SIJs995PLvB78rzyBuIS8ceQNvPHIULxK6489fG6MPNZTmLzmaW89IRaSvM 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 mK9tXIjvEogpzxpeLG7xvJ9vCDEW73OD5s9onLcPPNagr3Giwu9xE4yPUSAOr3uQRu9w7AAPtEGBzzx38k8NQe9PTwy57xhO7w8kwQcPUNR5L1SNpO8qOGJPElYUr2PrN+8PEioPEhKIT21+xS7RhDEvJXd4ju2mw88SWGePDNJWD2VRts8IBJivAt5JjwdOx89PgfYuyrNRbzI2Im8J7MNvTf1R71kPG497Pg6PRAnX7xDGL07TwjFvVi8uDx3sn28H3YRPKd+AD0UxD89o3GevCqVnr3IsLo8hUewPBwfJ7ssETi9rlctvXme6bw6LiI5KK25PcXKVD1q8WU9nC/bPFIB5Dwp1DS6fsngPHuH9L3AUtg8SSyUvG1t/bwoudy7DvxRvUMbyjx+Db+5whXKOqHpMj3VQUq93ZKwPNKinz3CLxU9NZi/PLEjubz7bnG9vggPPS7Q4rwS++Q7/rpVvAe7ybvOzYw910uAu7jnG729oAw9BheLvetAVj0YWt87gB6PvM OayYT0zaYY9RDqnvKpP87yFwL09UaBJPaeUijzdtuu8WY8pPb0wyr3Bjtq72VabPQQ6FTxc2Hk8dFWPPLQsv7zOq0A84ExNvIP6yL3WxvI8y3mXPcGmTr3Q0pE8QXApPRTj3bylcRW8um2PvZbdXj0zw/48k7HdPIx9ST241yK9c0ZGPfOLM7t+GkG9hel7PJfSBD1DTe08nN01OpMWqL0D7JS7PvFTPNAfRr3VVAE9A/fgvdu9az0iIBe9ouAbPctfkD3lPNM6QrcJvNLDjrsypEQ9WpmTPP4warxLVF29pK3bO2xjbL1D+428zXVhPf1XSL230Na8JraAPIhBWDz3opQ8KakevBPu0b0nUSk9PDPFu0C+5rxIar68tCc6vQ2nuryNzdI7MB1tvXqoM7y+dHY7QAXaPJbJG73JzyW9/fOdu2DOojxvvjs9C/vxvHQPeLufSXK8OXsevMsNlr3aWFg9OLY7u087obt6JSE9/V2mvUJIprpb+gm96JGUPIcZUD1ImM 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 XW0RDyLVnW9NJs+PW24yL3Om5o7z6VgPSMjXr2aB0Y9lVosPQXubrxcaYY9/QsFPSaYc7wcFvQ7QeEzvSmn2byWhbI8x/fBvf6DmbxkP327ON+ePJQO4D2suAA8Djk0PRCc3jwRFJa8fBekPXb8fj2gVGg8lYW3vV9bVb0lgaG7HMY5PUhcSL2pSti8pHTmvGfqATxhfAY99Ll/PUALPb1UKVw9hYS/vU2iYr0uXFa6rj0qPeFegj30FQe9GIDbvFgLzLz6No+69DYLPVDBzLync0W9GCUWPT3nxr3JjuS8om2/PG6hFL39R4s8QDKMPBqUjL1sJ7Q7dMMqvJYpkrwkfYE81V+JvWcCbT2tfOs8DNYUPQ5YoT2AY3k8g/U6PVM/WL1h3Sk6CRfRPUQWET2kJpY8ID2Cvdq4cbzvV5q8fHcqvWDdPD0nZQ29zhoUu5PZN72Jg9M8kFYyPENbZr3JY6M9++Kgu0tgmrrfmhA9UXDcvHTBdD0UW9O6QjtkPWKcKr1R2M 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 ZmtoT2OvAa9M+43vIL5Ej24xS49GQPUu+BTrL2pO+A7mGzIPN69obyaZhg9YekAPYgmYb2FwgA8/RSiPVeTgL3hDqs8BNT+uXOApLwHH2M8KLLEvHVSw7306Ak96q3CvPonV71Bbri7fSgNPa44zbyAryW6xYjlPPe/iLybvZY8Mi9oPWuqir2yxym7xDjsPPYXSL1o5YU8nCcJve0NRb0PYQK9QPhVPElPjrxLI6c8F6AUveRcb7zuQ6A7CCqpvdvtJzxlu+y7QiihvBPtCj10m0i9VJppvNi2X7y77Xe80+LPu8dIs70pIAc8UK05uwWLerzoOpk8GS8nPTf3ML2CfUY9TEoUvfSHg7yyipc92K9YPdLLZL3ytDO77utZvfLDjL03Kq68aQZ1vATGyzyopYq7UEGNPNXNNr3qdoO883mZvR9GTL3//4K9IxqNPUA12DwGA7O7UllBPDWDJrz8j+k7DkfcPMmabb3Qf5w9LxnUPLFUg72yAha9a3KJvWFQCr03LM Fs70bvTOxYc1T2ESm29QDSRPDD1SbyAowO9aLB0PQz2trwseKo8Dp1OPCiTYr3x4Zy8y9EMPbiGYz20RI29mAKdvIUHIL1FSMc9n4aBPBSWzL3PCJo82jJQvVEVFb18fgC7D9crPXDLGT1m58i8tMj4vJUqHL3kXf88aQ7evYJGar1qG1u9XuPtPDFGCr20mXs9LsABPVhqubyZFaO8AaNNPNpypzxzy4s876yPPEb9F73s88e9+fBrvZpDHr0Euw29A/RwvDZFrD0akOi7LcuQPcQh17wFLAU9TOVAPSwWnDpX9SQ83LIevcVa3rzu5hy9LioTPDgNFz1ZcFO9OuCMPSNv/7y+Lwm7yjE/vT2+2b2LoWi8sdjyu5Pdd73kQIY8ZcODPby5ez3obEi8gii7PJyy97yOc049+tOuvHJp7jx4gzm8U+xiPM2JpLvePWc994djPch2Cjz5kwK8hjeEPaxhVrthrp08bWfPPR5B2jxyJZC9ZgKvvY80PryUOPW8OuVVvM 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 ZkBP73XnMK80UvHuwdpiD3tC2c9MpRxPBAjpL2cPyw962cEvt0Zjj1nWry9lq3YO4+vxLy11xY9IERfPdxbwb0/hjO7EM/tO/+l4L1fxIQ9mLWyPJpqG7yyNVQ9h36evMHndr31cuA7nZUAOqzcIr2kCr0892LtPLmxT7x3aZk9iaxIvaKe2LqR7KY7wOmTPXhdi7wQxyo9mhkhPD2BRD3YLfW9Y0oRvn4sgL1I7r+9eqYbPVQAlz3USHq9H22tPVHt1DtMk4i94Db1PMQ2XDxiF1s9ZHJvvWgBib3HbjE9NizfvToCCj1T+Ac7MA+VPVWSDb3E41Y99BY3PQDFFb6A8i07NpjtvNnZAr149AK8Yk0xPfhhp7w+cDu83Ci8PJC1YL07r2Y9JL6MPOZYfr3Wyc67MStPPNI7J7yPBsw9f3yxuyCrhbx1qZg77AZ8PaPbmr2FO6I9D3msPf1DBDwxJ0S9fSiEvTBUrbySUIy9VbsFvWRrkj0NTYO8lDUUPddH9LxsgM 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 z++wDxHs2u8Fr9HPEyfCD0sF8K70Wa9Pd6WcLzUF5K6O0WpPSWsBb0EJZM81zBfvecZqry8jxq9UzP/PFFKTjuzuHu9jcacvcqDrT2wy9C8YsSMPejkozvhQRC9rWnyvNqnjLyfz6o7YVR/Pb0hhL072aA9zo+mPFwfYj3IqwY9F9MPPK/lrbzfbUI9DrXpvTONlz3o40W8q+GKvfxBXz2llv28uCl8O8eVSr0E3bM8Yv4lvNY9lbtlwnA9U06rvPsDMb11rXa8AgGtPXXnBj1mgTk9FU2Aut8+8rwJ1dM8P5pLPQvLBz0YzF+9VIUEvmyTqL2+CoS8pYCdPaeaJDyiuEK8jZqrO6APF71Yx1W9Id81PXy7mT26AQm8HbIFPWeB8zzbPSQ8Vz8LvcYwtL0HzIy7489BvWxb6TqCRys8GQFtPQW647ypQVQ9Rxt+vTy9Mz04RSa9vDwfvSRgVjxsRwa9Y7guvf9bsr0YB429fU4uvb2L2zzX8DC8S/v5PHo3fDynIM 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 zk8e6UkPKhkljoVYFY9H2GbPcCp3Tu7gjk9i1AnvTZsF7wKynO8I1+Ru7KX6z1+71E94SclPZSx1TsiU7S8MyFfPD0TiTxat1s9SnjCvVlg57zWgRu8sn2FPXB0AL2rN1+9X/01vU8hvT3/0+W9JL/jPHUmpj0/FiO9O6XjvJ1VJb1yDEE9oA6IvDARzr0zMWY8C/OGu6bAd7yRfws9JYRdPSF7LD2gaZQ93clGvkKQhj1gnWY9MzubPKBgdrxwIVs9S2Z3PRxJorxOlIm9/BMpPXyWN73LzSw9X72PvWD8krz8DPw8++ahPXs2Wb1u/7I9UK+WvaLvebsnc3E9fjgmPVzeBj7t6T29O97gvfHqjLzg8j87WqKWO3IyDbzwEF48dAMqPDIoBr0rltK8GB+ZvHH+vjx2VhS8GJYIO3fuM73zygg+oh+tvcI6wr0guTi9FVoMvX4AY70hbRq7pblcOyQMlTyO0u282q6svBpsqLvxjgm8D3psvf0+Zz1H2UY8osWGPM diNuzv7MDu9/K0qvZpmhzywq7w8yV8HPUATST3ZCqs8uwJ8PSr0U72gyWg7CaLovLxY3ztLxao7XqJtPWMdb7txw1C983HUvXJN8bzieVi8oMhSPYf3Hb3PR4S9u/ETPCmqRD0mAQ29baYePOOh+Ty8FRK9hhWfvN7Ij70+jfo7/HpcO1vf7L0Jv/A8tdZYvX4xNTyPl4m82K8iPJbSBrzpJD09/n6GvaiuUT1WPbY8rY9UPfRljj1SAQy9IFoNvZgW/Dz6AYq8xsufvSGDIDzRjPY6ox1uvWRJyjz5zNQ7LuoVPVS69LzoGCY7idKXvdAIFzwrbIY9MmSGvZSGqzvi2629QZKqvZfy5LwHXkY9Ctz0PLGupjwyrCo9R+zUPFaAwb3698Q9JlXkvJaiID2Z9FI86SB6vD2xiL0UC688GAPdvR5i+r1y+ly9TBcJPWYnCrzDWqm9IhGLPca9KD2zZpi9+R6rPc+n1Ltxtxc9NeozPTtNcTyigqK6cNT/vOVw6rxxOM 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 Vi8/GRrO2Qepb3JF0g9fjSDPbR8aDzIkEc9TNBvPa6jNj2mVyK9tiVsPfaaxDxLkR499XQZvQ5elb3ZWk09r3ZWPOH9GTzBtLC7rem1PS/l3TzMoMe8jNe3PS1w4jyYPSm895Q3vh6PzDx6ZjM7/F8GPdFVGL21POa9YR9UvOVeOjyJRTq8UEVevEaL8jzVj5M9646cvb1Q3r1CHHG7ul56vYJjWD0dpJA92E7rPIETSb2BLxK9mCj1OvuQ7LzigIK9D3wqPbCmp72nyMI9NGs9vIBeDr0iEbG8qUmHPKXDE75wjkg8fdCZvWBG2LzUW9+8+AeevVeEpr0WJmQ9VX0bvTwm67s23ku9++RJPYt5ersSEFk9SPNdPZxssLwRNwW+atxevZ92qb1xq9q8PwI/vf8EKLw9EtO77zA0PQ6B0zyRKo89B8A6veIhUT22zLU9mDvaupG8t72HWs484Zc7vlKdIj5/c4+9+SMVPpgVW72EVVc9C38cvXoG5L2TcV89Yg7rvM 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 q/0Yb3Jiby8NscGOyKgsD1uD487FjHTO3hNzbzAirE9LqhbPJ30Vz19IIE9jOhcvfv4e703pFs9vG1QvfghHb6JiWG9sO2pvVJRZLw1VIk8c98bPcGagDxKlaS9M5mUPNoquTx+oJ87Tt9vPVLZIb3rXcq8YE2SO6lebD2TN2e8r+GNvYDl6L0HV7M897b/vTqKjrzHUJa8/R8OPeUaHzx0CnE9AdXAvNbmfr3nvJK9+kH3PBChkj3GpsS9nNdWva+8nL2ExQg9whdQvZrf9jyV8bY9bCxcPWhbh71e0PI8xywlPtTtgju4ucA9WGPgvVOfFb1ztpI9h7jevVnRbDxDgxG9UPYfvTx80r3cFBc98LUSPqKjw7uWiQS+E9wHveOkJD6mfIO9IUvdPBmSh73y35o8wzaDPcrD5L3MdEE8uEjNvVDZeL21/q29dwWZvHw14j1v1Ds9ICBgvf/Kv72UGCU+A5yovbXhLrwDW9G9JNEKPgwVLr5AYjI99VTlPE3av71jjM 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 hk8yn1rve6kFLnGMjO90TPFPbipUL23gw09K4/MPSTXOL0PKu69Kh3/PI0S7L2pQ8e9pqNjveU3jj04WSC8u93SvKA9fr3ty0Q9d1+PvBeJqDzMjhw6vbnEvFDJrr3YCCm9fGwNvo75Aj6vHgS9J7hKPZ2cab1fY8g8V9uqu7W58L1WdCK8kgj2O6boqz1nuqS8vh9zvOh0AD3cFSc9jFEtPYf+5j3R31A8cRKTvAkMmDxMM1I9bD0MvYADkL316Ai7ZfCzPN5KMj2h4wO9sdpiPZo81zrJpiC9qudyPWoxi7nINRg9hEmEveYzgrvOTn09QRcKvP0/Kz2nt2y9+rAmvUJikD119oO8t+89PYx5GDyl3F0734YGvZZqV726cUi9bkaTvO00wjyUKyC93y2Tun9UFDyuq5u7JqYJvSzz/bxeeOq6E33gvfoZgj1ixbC8pf67O9VXDb33Q1i90lQgPTpGkT1XJwG+pB9gPQD8VT0EWq88kg7dvMWSET2EroK8hs5xuM 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 9Y8BmDEPLTYebykd3W9JB2LvaBQDzzJxaK732LPvD7eXT21Wuk8OM6OPc321byzFPM8Z/APvmW+l7xOn7W8WwoMPfoHhb0vq0I9QX4vvTRDTbz4cI+7tLquPM6jEL4wTuw9yCxpvRMUxTyn5pa7Wq1kvsnInLxegj49WbGsPU9Paj3uyO+8MwihPD0dBb01Ka8813JmvDy4jD3dMKg9J1SkPLyqJT3Vgbo8sINxvQNnmr1ikWc9y/J4vTQMWD0SSlI9TSCfvYvCDDwhMzC6XRnQPWXb1Ly8XIs8KiGoPWRXDzwL9ZE8D6hZveYHu7sNMZg8J7fUvGB8vzxkM2Y9Fr0BOmKzy70Mh1W9n2+/PEHghTz5kze8EglMO99Rgzyog428O4tzvdOSnTxyK6+90mpqvndNNLz666c8FVdWu549AD5uXes8IO9APRc3j709Jlw9pr1/PXOMmTwWF6c9WMsBPcwL/rwdU949lwHTveYa9LyOOC+9m/3gvS3fnLv4mi084RUDPM 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 P9UQzwH9FA9quHQvWx7Ij00NyG8yIwlvbygvD1BtRG921pqvOXygDzXCnA91eT8vTWRFz2UgFG+bJGRuJTNu72kmWI9s7gfPYHjgj1epKM9mMZmvKYTuT36Ug+9mewyvc+YGL0Hh4o8nU0uO+TI2D0kLNi8lbPkPDPbZTxva7+9aSMTvLk+cbz5dYg9vkVpvPpzwDzRNUe8RTyGvabbQb3fslC9jRE/vGfC5Lyb0es7RJIVva8EmD0gvr498zUjva2BAb2Yawq8EA2dvUk9Xz3Ey/08LFQIPeFslDzLy0K83skTPdFrc715iVC98POYPPdHojuY5u08M6jKPUjwI7xhPj09xxMhvCQbRb2kcxE70kqUOly+uT0bWjI7EIFrPQ3hkjxHwco8EChgPaQPzz0S6Li98TqlPPansDyeJkQ9f8yAu01AKryE4/08jrhBvVh3azpCk5+8MVMWvXHjGz2A2PK7TpYKPZlHuLyOjSo9bgTGvYE92ryCYJo94YtJPCovvDynYM 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 a7Pbz1NRYI9ZiKkvcwme70yFFE8f2SmPcVKm71oL5M94PS6vQFFhrzSZT89XTqJO9/wgL0ApXa8xSFjPIcerr2GOuu7k9mvPaAvCLyzA4U8A3u3OwXvxr3MK4E9NCWHO+0qejv1lia9fVSjvIVEHD32gbc9Sxk8vBBjcLxllcy8VlUwPSM1sbs8FpO7lIoDPXJ1Qj11UJS9YsM9PaZt6Lw5SIq8UWEpPQSnKT3Wqpi6s4+bvBhLjD1QWru8TQPru1FnNL2wooI9/CNtvUVpj72ZB+W8G4y0vN/p0DxuaY890ImAvQo5WL2qqnQ7ttqyPEngerxmKmi7oNYXvVou3byqBfg8hj8GPVedjjvMzAI9O0C6O9QymL3/Gbk92AzavFpqgr3PUaI8iPQLPNS3F73/Hnc9gDEXvfOGtjs1M1m9HRdUPYYTeDwl3YA8HDawO5eH0zyJu6q9MBQ5PVQRTr3i9WO9GeEJvWI7hT1Ujby8qL83PfIvhDxkpuw8r70XPT4kDj0PSM 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 Lpe17va9Yw8Qf04PLLQHr3M7n+9JjMbvkOe2jx1W4q9zfXGOdgKerxjLO+9+tAsvUZ4hzyfOi48JqIPvf4iB76irDU9cDWbPQVyPr5TIX09KupxvV8Dkr21iwu9nuSlvcvJAj3FVt683U8Uvor/Xj3r9mG8EaYLvcc7nrvlycK9CuluPcCLMD0X+0m+5vXPPRMXOb1S7hg8t1GvPGVKi7x8bMq8+ONivToN5rxvEQE+/gplvVEPQL2Q6NK84NK1vVHEHz3QJ8G8b+QCvquzCT2JO0C8UdgxvZ81vD3dM4a9WOJMvW5gB72sS6e8ndW/vVnPJT0f+QC90zw/PbaRRb1dhX69Li/kPCEqpD3vW++8iEDTPf/POD2ChqU95pecvdFQarxj/2O98tsbvR7iND1QIZA9HSU5vLyDpzwpc5C9h8Ylvag7Hr1choI9uX4pO/4y+z1u2oE9FXwQPV0UkL1gRFc96NcOvtZzgD28R/S8OE4ruwTBkb3RFpw88dolvYv8ST3JLM 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 ok99wzJvBNGM7xM1Kw81vEBu6ucQT0BBiy87PX9PPW6p70QDoI9k/r5O1eZAD2Bt6o8tYOHuy04AjzVYWc8tvsIPVGZjD0GvG49oreHvep6wTzAB0S7AvWQPfMbAz1CX369K32Fu7RBSz0fMLy9Fr+dPRuadz2FqI48/twBPRxNz71THZ481CadPXgDIL2yYxg9uJA3vRtKMD1bQby8qkJsvVTnlr3GRVO9j+42vawXn73yNli9YOPTPRwxMT2hu048WZ6uPN6sxr3PvaE9SQtrPKLjjz2d7Z46+1FHOp8KR70EA0o9aHMYvMVmCL1EKfs83cQKPYEvgjoWfCG9KzpqPb/qPrsbFSo9RjLQvJBHvz1WYcU9zrGCPZaYcD2IWYe6RAT3PCX1qzxZ88e9rJgzPfANIT2biY48l1+/vHEO4r3HKvm8gDaMPDmUQr03rlo99W1IvW3MR72byG49OSCRvIR877txWey9IHQfPWopa713uiY9fgkNPbmTgLuMD1M9ffwwvM XeLnr1fGFU9HzrovGRLab3sYI07Zpz/PNawwjw7x4I93rRTPYmjL70dnbc7TaBTPLH3RT3v0g29TB+rPdYbm7xh6ME6rl3yu58pLz3arvE82GxyvD01Jj3DW0K9EEhrvP0Jy7oesuw6GneyPPwe3LzmZTM8UCogu/Q3x7zuWci83+VEPB4dxLzIM7A9O0cDvVCuGr3wmZs9MLJ+vVxNirhFKMm905WqvI7u9LxLzck8FSVtPUw0UTzFjaM9S2gaPbP0N71RO4o9ht7AvG5yVr2I3ZE8CM7dvJHlJL2gB+I9Ya/AvKpdcDxNUBK9V7BjPSaOY72Y6Ko7Vpn7PXKZR70/asm9nXlovC6VtLyrhsC8I41kvcWngj0izDq9+d8qPQbY0Lwj4DQ9hzRQvXytTD3qiIg8rAySPaKWv7xl3lm9mqyovRShrz2Uzpy9bFboPa7HabyjT+g8vcvivQ08tb2hxQQ82pVzvbeVYT2JQl67onFnPYjKFr0kkj68iocuvA62WT4SXM 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 bzqLb2ir5m7VzkCvsbNqb16qrc9igcdPu4zTT61Efi9463LvZZu/z2fH+O99gtFvacwpb063YA8lL1XPgSDwr13BZE9j5JAu+TXRz3DZAa+9CsTvo8uGT7uWiA+llDavbY2Ab6TKXs+jDetvdKuPL48Sgq+XgUOvvnDUb1SeQC8p+VEPWODhjziKls8r8xqPdoPQj0LfIu96XX4uxpeHT20Nyu7Ri2zvLuhW7yul78990/UvVevFz0TltS9z2SePBFc1z2s51s8n46SvYeAcz1v/cu8W44WvQIEjL305aU9Hsbjva/cjb19GZ+9V3yXPN6nLb3/OJ08hEWFvHdVujyJECE+mXumvAWOpj1+Wz07bEsmvhgZqryDQ5O8oe+qPXKkvr10cnQ82caUvcfVSb2DEBW+3F8aPamzQb7gIcE9xIJ9PTlNMr3k4809YUUFPo3E1z1dCXe+VTEsvQza3j2oy0m8RY0bvgPSMT6nj6Q86gwEPlVuJz7oU9+9qhK7PQVEJT0QdM 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 OK9gdNQPiWa+jyBaEa9ddcFvgfQND6keN29QKwmvBjp6r07b/s8aPFqPiK6bjokMUu9kYVZvRgw1Lz0GQC+vp0+vpL3Sz6eo4Q9WG9xvZmlAr4q014+Lvn+vQGbrb0Dd+u9OITpvAiuarz/mOM92zrlPaHHkj24xwI9gEZXvcwd7T2Uqb88Cu/vu0cISz19lJu9nxluPQnFIz3EyAi81EycvNnF1zz715a88hsyPbBIAD2zDBA9fPpbvXvxar1dak49t28APK4kcTyDmsQ9t9kNvrRP9rvPLG28066ZvccoQ7yuNnU9P0V/vAho7j3vOlE98cEnPZYQhT0OEC2+jwAEvlXzaz3ET7i8lQMOPnl1eb1UfSG8LIzKvUnnAr0WvpK9uMc5vF+yWr0WpN497moSPqKrczxFpNw95RyjPbd6PT6sp+W9NNpuvYlJ1zyyveQ7EPJMvVChtj338Iy9VoDvPaz5CT6P2zq9g0oju0dvz7utFcK9rk8lPsv+XD4euwY+WwM1vM 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 JC92KSDPQ46CL1JjLo9ja04ugV1h727qBY9y99avefj1TzWkES95jd9vSNtyL07EI893K+ivbNoVj175f68hcGOvNQCyDy1w+g7KGievGfBMz3t7Q69Dgxnu3hczbwaYRy95FD0vWdy3D2iBNW9ZZ4ivTpiuLx6+BU9+l/dPHqba70zr9684e99PZ+Rgj2KhB+9Pfd9PAzs/bwGpAw9F4gyPeqjGj34+OE9hwJyPM6cc7zNoR29XqA6vVkZFby3K1o98hYlvZEhbz0WYl69wRMYu0sF7ztWi2S9E5QpPY7m/LzlvLm79MoePe3rrztO/II9p7ERvYukLjxTHAU9mOsavZaZDj0HeFw95lEBPS7gmr1/kV29mDbtuwhRRD0GXVa9d/FxvVRWnzxfWmc702q9vdPzDD1x3sK8lt1qvd+AdL3y5qk9PRVXPLfniz1Yrj69ooqCPNK1s7zvPRY9cYeiPNWd4T0zfUC803myvEIJGr1MTIQ96cfiOuEUcD1tTNc8YH6zPM 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 gs9lt82PBtjAb4ThzI8ATNGPVfzHD26MC8+8IJZvQQ4RD2yWpo8ve39vfiqCL5iYQ2+ac6qPWsFPT6IZAM+6orRvPijiD1cjhW+GnlovQ+/UzytMug9p9OlPXWCYz2uMS8+wPrUPZYr2r0l9Iu9MrtXvQ6GQD7oXGI9/wgsvefeDz1ZpxE9LXZ8vRsaH7wU+/y7Th6fvcA+1zz3zxW7ZItKviCnmLyPkDy90p1CvbJzpj1ox1+9+V7gPZf4DD0DIxo9rU60vL90RL2W4IA8qyQfPERbqT0Ie1A9WyB0PX6PtD342928W4Nuvf8FxL3J5jy9AGgbPRAk0j3350s+6mYJvRhv0TzTDKi8y+Q/vea+ezqci6Q9oriqPE69Tz4eWyk+40LCPaDMAL57ozK9zWWvvXu+Kz4WZ+q85hy0PH9dID0LzrO8/koOPSKf1Dw0avY8Vj6Vu3FDbrqIfRM8qvpPvvd267wc/5k9r/tQvVmvOz2gXQy9lSTBu6XPdzzKj7w9ShwBvM 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 8M8qgIEvVwK9zu73DE+YhKzvRPXvz342wG9IRebPYErBD7KQ4a9ALHivOw8Kz2/x8u9fPuyPaNMrru07KY8NLi4vf2Gc728Bxa9x9pPvrhW9bucu1s99q+dvcUjgj2S90u9yIiOPbOVoD2OwJA9qCssvcdEbr0tKO086qMaPUHMAj0boA4+qDDZvKeqkb1/cBG94F6sPECykr2aWwY9RK2xvdoiBj1z1Co9eDVsPae/+zyOHa88UBbjuyUXBL3jofi8uwNUPTj3Cr3bjBC80DeLPJzHlT37yFC9V6yHPSySkz3C5uc6Fo6GvejVtT2U25S9E1ewPdeUJzxORug83rkQvgNLOz3GtZm9s+SLvuiLl7xOxKu8cnIMO50Vhjxy98C9+H8fPRnEUz3gYts9v9OFOpH6NDycfHC9pjUjPTTFWb2cKM49YYfevZFl9729VZm91jxMPcM2yL1IiLg8me/IvbQ1xrwg3AQ9ZZ8GPsciPbzXIxA9RtS4vSjDKT0SZJa9UE57PM 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 pm9COESvIJsxr3eYN096Qs9PrAN8j2IZPC82uIkvj34lT39eYu89c++vA+xFL3I/W+93Fkbu67dzT2byfO9y8tlvS56Pz2noTW9O+oPPgqOXD4fCIA9mrERvSUce773CPK6n5iLPfY6XT2C1xA9XD6nvcRGRrywlXe9zacqvkj13b3nQxY+MZMEvbdy6LzE3F89gzWgPSrpFD6VWzS+WFe+vUuntzz0LSc9ptk9vVitH7qHRCM9t01EvlfBgL0I+Ii8OECOvbvvL7wCvtg9C643PmnANT3SlPS8I4Invpnawj1WiY89rhNpPX/yLryAIKy9icabPS9EZ70etwm+KasDvmHEGbz9Hmu9QDobPoTTUz4kFQY+YJaAPSWfgL7lbpQ6LOJyPTvTVD12gKw9g6UNvrCkTT08e+m9JpYwvsJBGr5bf7c9US3nvFkdSbvDc5s9uEY9PqVnZz5YOAy+zUAivr3ndz0xPzK9kuv3u6urHjzN22s8egZZvrayl72qsZq9ePWtvM 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 QFieT06oCW9XIoGPGBA3j2O11s9suwUvUBxpj2PQXQ7pQVLve76Kz5vSUO7UnPjvM4umbt/zeG9fsbYPR5CJr4rIN097X68vRCWAL3L/Q89OaN7vMHWt73TPbg9PC09vW6GKb3Hg9o8Vy5hPQsZfb2bV7A9tKWrvWBiAz1V/QS+qeO6PVeiRz28/Xq9gGD0vAJ7uTui2qi9u9KyPUL1Hz3K/lO9r2CPvXaYMT1dhYC9gdLtvWk0271I9sc9DEQCvrIdij13G5C9JW7iu9rVyTzt7+A8ntmJvdoJlj3Az488Cw7VvUrE0z1U0yM9FUk0vVjFlb1agBu9YAKKPaxA273yq5I9mNyAvetjHbxfwqE8jhOfO76otLw053w9MK4CvZy98L3nDVc8Yfi7Pd8ZiL2jvpg9VZw0vSqzvD3T76i96rPXPVoxiz2eXpS7Kh65u79U4zyJl7y9xwDjPQq1Y7vpYQO+rt/HvbnCaj2Clg6+ozaEvUImPTyX+IC9YkzVvKW8r7zfAM 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 Km99kI5Pa3e8TzyOfO8/FzvvG4127yg+Cc98uIxvOHQvDzIAYs8mbe5PUIfUD3Ca8y8NS+ZPSySsrxP09E8ttwsvSkxGj0dbeQ7wSZuvbPSUzyYvho9/FayvNxpTLwqj/Q9NGrNvEE4oz3Qv8g96ziNvf7FD729D8y987alPQKySr1ZOcY7/xm4Pc9Nk72McgM38CjPPQLPUr0EJbU9F6q0vVm+azy/O3U9HmthPTw7ST2dPbK9na6iPR+Ixr0vYoK9DAkWPQGcOzzErh28C6HMvT2twjjCPLs91cThvHPGWzwsue+8cNwBPKMn9j0WiSg9NndxPU9hv7zaOUE9zj7fvQP/jDw1v6k87d7SPNJkCT0dWUE9EtaYvJZvQTy7V4U9Cy/HvA4BXrxNDgI+oPPkvBlBOL0zhNw8VsnlPEg71L1c9YC8eyiUPeoCnDs+B4q9Q55rPd0ypbyCVJc97GiUvYRbTrgN9Nc7y02hPN0odj39hi29YTPTPdDNHL7TE1S75Cg+PM 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 +Q9U1fAvd8LLDz6VbQ9ByDGPVJ6Ujujpr88J0bcu+oiUztWRoW9gdGvPDtCB77N/xA93F7UOVvbjLwANYM9DRYWPktWQT1oC4e9gJJTutvErjxqdX48dozmvKc8gD2UPve8JS8xvvIJKj2lUJ+9ISkPvuE+Yr2xgcU9VhgCvRTFuj2CEF29+R9+PVx6yz1oREA8Ce4ivf1pUrwifqA9crk0vF24hj3qTzw98k50vRZa57ycbG693uliPZ3QNb0ruB4+Phl0vMA0KL0A6QQ9CFkhPQpkCLx3JZu7ujp4PAzYp7yLk6G9LggQvXzaU72klSk9U6INvRmbMz340MW793c7Pkk60T1sQjE7oKQ/vQfwDD2kp7Q8Tg4rPDhvKT3xPga9rwIEvnEHfj2+W+K9XuwjvmTxhb0c3YE9Wsj3vKBUGT5HOga+lY8AvajbyD3oKvQ8j18HvWf6HjtkmrA9xoJOvU6APT1cFyw9Vq+LvSKnizwSRt+9iSQaPQqfjb1J7RE+hBqCvM O4hf7san7M9h+SOPf/FVr0YvbG8KDUfPdHpeb2CkTm9ijDaOwrcabte96M9q8O7vI89UT3tAqa82AbjPSlsBj7pCTW9c7fDPD0pVz3ur6Q8WX8BPMk62zxaqQ09FrM6vrf7BL1vbqW9qRIWvihE8b0ri6M9WGxovI9luz0hd069m6m4vQozCD4pIlk8uWOmO+Y/oD2BEIY9IvsPPZ3MST16Y7I8xfXPvSJbnLxnYwm++wOiPXGf/71rGeY9cG1zveef5jpHKwM+rTi4PE5fqTxW1U89ZYNtPb3dxb260Mi7TP6YOiNUeL00Ly498Lkgvf1Ekj25/1W9r/oBPnZP2D1B3Ga9PEKsvH20dT0jqm48oVa5usvMmz0UGou9YgUIvuN7+7w+kQm+RSEJvq13Er6xoqA9eUuuvZQu0z2XE069/doOPS20GD6EsBG9bsg3vRgklT1uJbs8xWOJvahU4j0NMZM9I7tevaHPGr2Oaby9MmVMPf3c2L0vlAw+9HJGvf+yJr23tM w09ZV7WvIq1lb1SQaU97+fRvAyPBr7bzma9oGpRvSjTq71g7Dc912xzvcndIz0C+p69BKtOPsPW1T1vqqA8yye9vDC/TbpECow7vVt4PVNq4DzR4t290eLcvVOI1D13koi9nNMLvgnRer2a8ac9kvawvZo7Zz2Uoxu9pFcRvOUlrD2wZpW8rFWdva5PCT04dhy9jn49vOVxHD3OTDE9r2qCvUi2sb3YtaS9cLPxPZzxS73E5Us+uQxUvZBMpr2Rhpk9OSYJPPg8sDqG0Xk9CJfsuquom72wHfq8O2KQPeCJnr3UXGE8KsWyverzVD3HG3W9Sg8oPjtjiz1+eee7giSqvYZoTz0ATTS9ZCwAPvjX4zxkEzG9hRIrvk+u2Dzpn+C9onF7vQiiCr3UxfW8deDbvYabvTwWuoC8yPmcPEMj0z1LZ6w9xK79uzAqyrxmqnO9fpkEPb/yCT1pE9k7rW+qvRbnYb0aTH+9z4IFvVideb25Vhs+CJncvbYTqbxxuvM9KmptPM 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 WA9SW7LvFXCyLyILmg8ufmevZcsxDyUiBQ+pgsUvTnAYb3APpC8qh6zPSFkerx1/i+9Wx3tPO+ZhbuS2Aq86ivLPIZYXL1XCbA98Bb8vd0qjLzOBIM8paA0PR/Ejz3W7EG8JzVPPT98hr3ftxe90SP2vFdsdD2UyIo9+9hUvU8tNL0ZlAI960tavX7KRD1UKA691wByvUwNhT1XVpm80o6gPZgubz3Aeee8bi6XvPTHWD2HJxO8Yq43PRTzzzx2qcM96cUwPU9nSD3Ug9s8QFaDvaJ1ybw3XAk+SBGRvSVeTjywRQk9OL6EPVD2Yb2frO88ecACPfZZNjwwAxe9I95HPbgKcD0G1NK7DjwGvok6MLsyi1K98Z+JPeo3SzsP19W8PVA1PW+SPL58jWK9/cZ6PXTMsbymj0c9xd91uxyZ371X/Pw9gGXTO0wKojxwaOu8r1bqvOeS6T3PyRO9HWU5PUpEfrtf7mC8TccLvUXPFD2OL7Q8ew5fPWQA8TwFE7o9n/ZKPM 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 1u9/ttCPasZw7zX3TC7nduqPaA+Nb15CwO8L7miPeCszb1piiu8+FvyvUaGqT0uMXu95w3pPT4Nfb0gi3C9djrVvNBng70PGS88HZ6IPdRs1LxIs6K9bctZPSYk7jyPpKW8kBCtPPlGJb3h/lY7JtOXve+/cj225cG8KDxlPfk0371YieO8974/PbpqIT0ks+q8Gao5vWKryT0rf7A6UX2RvVVAFL3mo0Q9dBugvIBwNz3qNSI9f3DWvJqasDuSJqa9PBkpPX5jajwIkc481mK+PPJZrb3k/xG8gv7qvESxG7w3xk08gQqVvIVfjD2WGk2941kjOwO0PL2TsC69gZlmvUwhIzxzOVU950K+PF4jS72hJA08qrWQPFiAGz6LlHm8hnuePQ2RZLzvHVc9wKYfvhuW4b3oyqK96p6TPGHXOzzl5wY94h3cPelzXLwDD7C97zsyO6jTsD2UUxU9OMoMvfmLDr0WAYM9GNEDPc1dO73N16a9pH/CvYd3Yrs4Eqk80TMtPM 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 AroqL2lNmK93tpUvVvZoT2KXCQ85mhePV2Qob0FcVI8Zg+evcBqWDwmT6m76k/nOZOmk7147ES9+jRbPT2+0D20ORa+CaYSPZPXHb3py1Q90izdvWYe8j3QEBG9OhCBu96Elr3Ukzo8gJpxvLEvnT04xoy9Aff7vBJLLT3hxAe8tx6TvXz4j73AN989Ur6VPVJ7K7zfCA0+xNMtvUuPDL0+pKi9B8lHPVIfCz0LTCU9+Nk2vQgMPLxpAnM9Dw6dPNEtmL0t9kK9F+LMvX+RnDvWh/O8jFjNPT2qGT3jRg49X6LMvbUbbb2eqjW8anqQPIh8ADw0eEu8vYhhPZIf3jsCDrC9Xr9HvYHYUb0LxEy8cXUqvTP18T2UPw290eiWvArJNb0M2DY8WdRNOOBnWz3W99w7FZrCvFbx3zy2OGM7TDOSO2UXnL3cEQA9nQXWvGtqU7xkxNw9FZ51PNfLWL1BBRK+8ea8uxX41rwcDkS9p0vuuRg9vTxasza9/yAMPcar0L0atM 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 AA9jiZDvSmYGT5AKVE8nc8dPEkfJTy/vNI7qSKWPeE0ND2qAYu9T07jO/Q4Uz0xDS+9kjO8vZJW7rwJSLM9FoJvumxCUb1rFJo97ap4vblCV7yRwnq9GZi1PVi6GbyUKao8puSvOfV0TL0YA0w9JjFtvTddwL2Cxm293HIevV5oIjyWEQE8/B/qPM3rl7vCBw48aSKDvcyqYr3LY4q88s9KPWN7Q7xio9W8VYlCOyoiwLy9AW+9WWVmvbtMsryTrY68X1+fvfwdKz5AZMw81m1LvQirLL1VMmK8y++LPeTJEr3IJIa8yM72vHYJrD2z2Gy9yZN7vZJDAL4sZok9c1NcPTqn07xlld09LgQnva5mmbyD4BO9mCEHPdjCWDr1Uyk948dJvfj97Ly9C3A8q3P+O4/X6rwh3cK9KkMIvRausDz4X8Q8X3/GPciJoLyUI0090NgHvv0s1rzPDM88oRivPO1ClTy2kY29QJoEPb8t/ryBcBe94JoOvW8oiT3mgl09gaJKvM 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 Ck7R3EgvcnXYbyAj0E8pfDbPP42iDzl968848BBPFnJ0Tyz+Su9TaYCPaAXWDxFeQc+icsevUXw+L3O7g281zWPPVffx7yRgYS7VzYgvCEWXL37lWG9jAvRO2I1mTsEDSQ9levZvaIzg7zq89W8gkq/PfJcJT0CQiW9TMmoPJzdCL7gK5A6WoDyO8ToST1mSF6674BpvZGzn72cF6E9NYaCPETF0jwH1Xy8Q5vHu4ycZDwE/l28ccATPQDDpTv9BHe8+ayAPN9dm7xpRIu92dXrO0y5BrzPB+c8KFcZPY1UYj2RTMA8uGJYPVz7c7wuYvI9FD7DvEpPiL1Qsuo7DfS3PRxNzbxoLsQ7a03NO+0aLr30g029lnYevVTSWz1yxPo8LrHNvQVoJjxXK0m9rH5DPX0ZRTsAYo+9NGr4vBCsrb1kocu8VvJ5PSDdxbxjT948wY0oPeRYAr2nXIS9Od8XPWFufjxik2Q9PotfvT2owD02AeK8zvKru/HpmjwPPFo9bMAZvM 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 bK8EbEqPDoCJDwI56g7Lzy+PQMymjz4QqQ8IgmzvbX2Lj2BOYu9cZ5RPIC5aDxmYAi8FAZtPQC/s701EiK9LdSvPGjmpL18Z+8836uZu03UjL0uOcQ8uuUBPc58jTwpYHc93ho1va7SvzurPwe98quxPQb3oT1bt6g9EvNzPCW7d70vpUu9wi6ePctT7Dx+FHQ80IcaPZxIGT1OK7o9aIUbu/ojTL1tv5A95sk2PPGIyrz8ZEg9nnjTPfPekL1rrgi9SStIvQgf/bylwwa971EYvGfyxTyOc689pYSGvZ2gvLzUCEi9KR24O9CqSrs50Yu8I0T6PCtkBb57k9c7umfFPHxodbvW4PA8bk/XPLM4rr2fnJY8Kx5bPAQ9Hz3CiRk98mfBvdyv3j2uXk28OaT4PHCz3j0klH89QCSmvafTX73FE5y9vIBFPR3KOz38tuQ8SW9rPcRCTT37y4u8r2c/vP+yojyD4/Q9gc5UPJhev71jhAM+Z0lUPZXyZbvPOiy9NHMmPM U42Bb3O81K9li+XPas2hT3adZo9nclLvRPr9btrDf28c8kNPQrkeT0Y0oW9tz6lPDmrqr0q9la9O4HSuw6tNjzx2IA8Jy7VvGjySL1Egm68p/rCPNbxJDwAiNC79gKKvSLGfTxGPHs9hfhLPdSKyD3k/zW5AHeyuoe9Prw8Mbe90ke5PS9InrstSsm7V5otPcUbOD25jVA8sKu6vB/vHzo6DPk99JsWPGVA1r0J2nc9dFvyPLVnk70cHQk9gP+NvFE5Gb384Lc8mIBqPcvGiD0Bdhk9MH2SvQs9N7ystrG8jJ1LPVq7hDxtNYW9dCuOPbbZBr61Z4O88A6BPZPOQrwrYjA9xJ2KveQGFL02Cbo8LnAkOzvTUT3Pmnc9Ss+JvbvbnT3dARw9nFueO76bdz23aAi928w5PWk+JT1PVme99OGEvKFRUD3uYBE92cX6PP3MZLytIQW9QzBEujzSEr2sLSs9c0g8PTTe2L0iPno9ImZsOg4CIr2cSW68m87qOxzL4bxWlM 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 Siyob1T9Aa6aVC3PRo9l73lEbS9Ld6MPIOwmr3eAJw8iv1JvV7RiLxAK/07LWe8PIsjfz2S9aQ6/yqMvX+tAb03etq8dqmdPZZU0D1YWIE9n3qTvW8YuDtSWSm9f0uMPa/XXLyr+Jk93WRGvD2X7D2lCpM9otlbu9rWMr2BRU+9hf/4vNZ6ir3vo8I9CIYHPu6xib3Y0ki9/u81vErDwrwIyyI8bdPmPKYALD0e9ps9SYsEvoaTu7zTAGy7DBZwvR2BNb0GI+C8l6GjPRYGgb0oz629sMuRPOEyOb2FojI9r2dlvHZDVTzNzvc8gQu/PZlL8DwtFvU8i5+tvV11mL19wuQ8A2grPV/w4z0jvUc9//pMveYz8LzV8Qq8DL4mO2AxOr0sscg96YWAvZTa8z0zs1491pCJu5taUL12LSe9odaLvVB4GLwaH4g810oYPrysT73Yk4w46xNDPEV6ib0RG0K99uyGPEEwBr2f8w0+ENEZvdOABT3LSqi947YZvMQmqrupJM 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 1U9U/2VvSLRxzsE8Sw9Bm25PXOwnbxNBA49lG6evOj5lD0PTjW9ELA8PD79oz27c5s9JZsnvffy8TzgX0g8zkdPPRDVp71uKI09sfs1PPRuGL052zU6XpWgPSABDTiTdo09jNdFvSoxPb2ySw68c5imPcjRdLtXhxc9DufCvXcHmzy20ma8+Nwmu+/LAz1xzpa9ajtevGBd273BAHG6EuC7O/Yiib1rLfK7rwghvZ8SoTtUOxy92Bj0PHGv0LukJ6U9UnuNvfIH8zxU7Iy8wnGCPc5aM7u0xy09kEH4vD77Uj37usy9Fy38PK8lMz3H8cu89FCWvUCcujye/Qe8XuPZOqNidr2dhcY9jEvkOiMNRTy56hy98sOxO2SlW72W+Iw9Ly+OvY1/xLyHY4U7tV60PUZANL1MQLs9DvKWvfnTtD0RK4e91d0WvREdmzwXIB290oShPc2Q+bxWjww8SI25PSJ9Rr2/AWs9Au8dPYDZoL3h0cU73bcnPXnXJb2AOUw9WFtivM 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 BM+32IavoBuNb2EMwI/zgP/PoMytT4hf2u8ZsajPhp8bb1V97K+c/EaPp9T1z2ZH+c8eGfXvUjbHj7Lx4a+c9lOPcLLBj+DdIS+yypHO8KBfT46V4K++AxQvqmz0j3estG+1cCGPn+Izj6HOwa/8JHAO9TYPr08NYm+XOe7vUCrkL73AoO8NQ7dPocz+z5CBvW9mguAvLrrCb990a6+OroTvVncwz6V8xu9U0oMv/KTAL72Z8k+KBRAvnJd1z1JlIi+mnu5PjXJtb6wFKI+nI3SPuDlib4jv9Q+buEePi0bBr7xrw+/+prTPjAkFT7YMrg+W+voPr1jpT6RyiO+EiiEPqRqhT6Qvbe+1uBHvX7dq74fx6G+EdbXPl8voz4p9T8+SneyPnPiHT1dLLW+kG6jPC4tLj5oUnU+LiMzPk2VQr0chmm+yNdAPjCyA74Ja6++xpLcPWJFsr7kFdk+As8IPuhv0r5qHJq9eufMPtByRj9IEoo+/FIBvfykCj8GO6S+1GodvM 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 jy+mzmmPeIK+75Ur1A/dXH0PrJF4z5URPu+eKclP0NHo75rPEI/wDI8vsUrZ75pjJu+rMIfPbcooz4tgI4+jGqOP0BVQD6t0QI+TBomP+amWr6lOp++W98fPyrzTD6qrFq9APL+veLLkD3/h968Aou1vHoU2DvEp6g+qU+EvjcBiz5/c348gvaaPqWMFD5Y9cQ+SGYKv3seXb76/Q4+JKtJv2Cs6L2hqUk/6eYIv9i5Dr9Y9yS/uOGgvXSCAD7Eu4O/iuRRvnVjL785UsU+BwjCPiYI/L5WVz6/H/cZv904BD4vd08/Dkxlvnd5or6MuGy+XFz6Pv8Gzb4=", "training_traits": {"structure_gen": "Random", "n_layers": 6, "max_nodes": 16, "activation_func": "ReLU", "epoch_num": 6}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "M Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,M .8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-nM )/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.staM ge,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.adM d(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,thM is.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function SM (e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;forM (let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||M max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStrM oke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26M .599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455M .8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7)M ,e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(4M 3.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezieM rVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,45M 8.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.M 5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96M .1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVerteM x(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(16M 4,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305M .499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,10M 5.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.2M 99,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.M 6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,23M 4.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.M bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVerM tex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(M 256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8M ,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,M 348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVerM tex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,39M 4,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.M 9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(15M 0.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.M 899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.beM zierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVerteM x(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(19M 4.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(31M 7.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5)M ,e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.M bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5M ),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.6M 99,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,43M 7,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1eM 3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,thM is.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unaM ry_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static M add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){returM n e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randM omSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuroM nsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){coM nst n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const M s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.M elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidthM ,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[iM ]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":M "))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elM t.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(nM .value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("chanM ge",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[M 0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.nameM =e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|M audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="477";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,PM e,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphiM cs(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)M ]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#DM 3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#fffffM f","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();elsM e{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(M e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(M Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==M Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,heightM /2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(M xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=M e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==M Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){lM et n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){constM [t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hrM (mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.pusM h([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.reM birthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.pusM h(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;M e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.pushM (ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textM Style(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rM ect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),M Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,M o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(sM .beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(M st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",wiM dth/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split("M ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2M -275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait unM til ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=M 0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.M length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+rM [0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",M width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toStringM ()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}M function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/M 2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("M DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floM or(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){reM turn mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(M e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFTM collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition abiM lity almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However,M this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,iM ),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMM AGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1M );return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visuaM l.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b481d107ea0a1ff","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si:":100}' crossorigin="anonymous"></script> text/plain;charset=utf-8 "name": "mps.sats" text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_362", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 4, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 16, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 13, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 14, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 15, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "leaky_reluM "}}, {"class_name": "Dense", "config": {"units": 12, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 8, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 10, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "/F78PCkZzjybmSK9zwogPcTiaTzrIBG68rWsuyCAgz3wb5o9cVyUPXF/tTxogI28CbgOPEOMVrpZzZ086Uatu3J8NLr8G1w9WIktON+0Qbq5BWg9UAM 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 N5PMWCXDzw1AO9laOcvPT0jTzKTxU9eA/pO89HgDxdlOQ6IrcCPVcNWD3a3fS7N06PPZ4+kbwzOyq9EmzxPNcjeD37hEW8iqf9PBDqLL09yok8d/dyPWhslj335CO8il1pPVOiuTyUOUS90y6OPA+47jxze5g8Esk5Pa8opDxwnTU9VjedPWVQVzyGPla9z85iPcdv6TtO3V+9ndB5vQPlrT04kUk9A7s7PVGuoDtQDLY9ieQ8PYq7Iz0l4Uu9nhOhPC2EkTxRz6q8wMpJvGoybz37h/u8rWiLPbE2aT3nwW89xJK4PUCLbzw8B429hULEPXsSsz1X7ds8qNVHOyJDND3Cmjc81hzgvFDoUTz7BPG872dNPQiFjz2LWC29Ip2pPcNvjjz7qsO7VsF2vSuwHb2M9AY9hI4WPRfSnbx70oo7Fx18OzfDrj1F3g69qKmcPU6Cmz1SkfE880SQPIBDJD2IKDU81EGzOCscyDyTEsE7PWprPOpMqz1rvga8ZNIDPQUnPLM 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 lyvWsI8T2gfho927MVPk1kgbzdArc9okroPJQnYT0Et7a87lFKPSW/hz2Iy9Y8MLQ1vXeF3T1fSLs9uHGRPW8OYL0YqiE95dT4PIu0UDwgfis895CUvEIyTbpYxAs8x1OSPcutEryPUYo9LEBAu77MeD0NEKG6pw+mPIhuQTz8QTQ9ZEY+PGQqDrqYxoG9mF3PPLJ4ITvLRiG9Fx8OPXssBT2yckU8+eWYvYGzED1R+DM6EzslPZjI7Lx2ONo8F9hpPTkYXz3MSK69Qvs+PSFdKz0RJYc8pCt6vTiFj7y3z0U9/vztu2HD4Dze/ig9hUvZPPgYWT02XhK8uEMqPQAepz2fPeA7WOU3PJVhxjyo/QK8LuCLOwE+jT08eyo9IJlpPTtpPj1ZzA09nmyvO57qFDzm/UW9gKJnPN6P3LxhSJg9zbFDPF1lRz1cwLG8XivgPNu1gLyfnso8WDkivaXzm7wcpyK8UifOPGHiwDwx0aA801HvvBRvRLuBI5O90xaWPGRAdzM 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 1Vgim9Kul9vRbKKTxnZYm9dtmdvHU7wztt6oI9l2pJvT/Acr3xWos8k+/3PLCHozwnk+q7oPKfvQl6dz3J+xa9FL0OO6AXBT3VRKE5w8KjvbMzbj3cKp+5QZXQvHDLCz38dmA9gYSbvQsQRTzKHBW9yhQlPapUbD23s/g7TnyXvYYRJT2c/Zu8MFeXOgv1ibtyKdw8GvQavWmJyD0QHp295RsGPR2OKT3ic+S7KWFDPBs2ID0ZZXU8bZzdO4FDCz1tAis9bpCWvK1qijzG6po8mL5mPXXcgD3LXlm8oqiVO3w1ALxWarG8MR2vvNH6B70jNpq88qoKPA2d0Tu2YQG81akoPcSNjT2RB4q8DE8SPbO/Hj0oUd28FfXrPIF2jDxfixg80RizPGkqjjwyEPK5cFqMPPzcbTxwkk29vGmePK+DYT1KPa88k6/TO0oQ1Ts7Jvy8KnJGvUR01z0Jt1m99bRXPTGxIjx/7Zc9RXCaPHOi2rww7Qq94FZrPa/FSj3joA29DZM 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 yuPc009rvzU5y8aJ10va+JVz2j+x29PzBzPYC6fzy23Z48cgGMPGG9tj2OlbG8nqJ4PWdE9zz2+ik9+qJvPCPUuD0o4aG6pV/aPWKHID1VXQE9dYMcPcwevz0EkzM7fqrEvN5+vD3MOYk9c8VXPb8+gT3ZFWk5uZIcPTLaJT1n2PC8CqxyPWAPQD3HtIG8z7QKvVH+pD2uX2w8lSU9vdlfvjzNcjY9MDgGPRb1Cb3YDLm8yZYGPGus0D3ZmQ+8kGviOy51Pz0vM2g9z4HovP2wnL3GmUg9EfEgPWjFgj1aiuq8i6bfPCGIrD2ai9o8lc4Bu9AgyD1LW4U9FUbWPSCRt70b7Uo9vYMIPW3yDzxi9ku9tO2IPXPOyj36A049595GvRmcAD7Y/Ae83B2MPePx172/tMc8bnr6vC2zsjzyJ3Q6pBinOMd/1LzYi2A9UpqYvEKkUz3KO4M8vHWYPRKFBj1zkkQ8rHKpvUz9+bs4mE09zgArvYMtTr2aw/08qkSKPZHdUjM 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 4svDJ0jT1749U7GaX6PCjxb7wL6jQ9MD48PXkT6D0YNps8c0KfPRRnG7xItAM96vWdu6aj2D35dD49OOPQu2RQILtMgBM9ktwMPUllmj2Ng508i3kFPpMvOTwSPo87+JOSvbjFWz3tyZo8dkkWvZNLiL0ajn485CVEPWPNAz0CE9y9WLi5Pf9NIL1RhSk9WAptve4xsTxikOS8GXGVPA8fX71zt6A8DWZgPESxRztcgn+9Bs/sPLQgCzx7uIM8dwavvZKQJD175/C8zX8OvFXdw71nfSK8oG7WPTLL0Dw2BZI6HZmVPBMAlDspzLi8XKRHvSRY5D0Kw7q7R9GUPYq6xrgqEpA94hwhPXaY0rsX7qq8kthyPZb2zDtN6/W7MLmPOxaCP73umgK9eIvGPH3FpLyUbXA9GOa3POyOjz1N7iA811WBPZN2Ej1fVJ29cP+ju7RUXL3qv9m9dbFYO/nvQb22yjy95x88vbMrdz0/PYC9CqqBveO7tryjuB08tAKKvYy3Y7M 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 opPVGFTb0eaOG9RsZ1PVOeAzpZQf68GqLWPJZcEr0qBpC9Poy4PQikJb1n1h49BE+Jvdc1nz0P6QO8AqRDPTjCjr1Iw0Q92bhKPVZfG71n5HA8TWmAvUcGDz422RU9P5mXPbX1ID2p6s49SKDLvOiVmD0y7gA9Id3bvGEKkr2hwNc7qGJ/vaN4Nrrt+Yi8rF+dPBybz7xIIIO8+aisO6pAkLxLp0s9PyuHu2uX37ycjJe9xpmsu9907bxo+1U8WHfmvG75nD3DwQW6uMeBPVQ2ZDs6nF490GL5vIzxJb0JE2+9lLjrPKilXbshPVW9R3QAPdBiSj1QbYc8Gho+vRBI/TrI+4i8m0YzvcpFqb1l6rM8zPVyvaXNUTwjCXm8JK0RPYh4xjlSwGO9UC8KO2ig0bslz7W9967uvOrcqrmW2rM9xFzHvYCywb0kbcU8Bz4FPiaowr1nntG9eXaEPUgigT32QGi9TqUtva6wlrw8mti8tbj8PKyuzL0+RGu930ktPR2NLTM 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 JavR4EdL2WbaU7wYgOvhNE7D3v1As+lCnnvVF/XL46zWg8nN6xPQ9Ef73iAxW+l7QBu8o00LzQJTK8VTtXvBipfj1VIA+9/VO3Pa48vL2rm789EvZPvVEnyz0XZNq9Y7moPbG6+r0h5AI+vyE6vBUyHz3l2eS9feERPjfn+LwCFdo9yNcvvmByYj5HUqE9X92mPWbvNL4twVk+hqsLPWp/pz3Bou87SyndPDC8Rj5aZmU9m40rPU8CyD1D908+CgnePcxV0zyQY4g9RelFvSSorTxqNIC8WLXBPQa3Yz0kG7e7Enmtu4fukz171s09+d+YPVYwfD0avtU9X3tKvYAH5j2ADyU+b/erPNjC07wZdMk7RaYFPqX0crwPHJ09yPbCPSV87zyw2G09VjakPOiBcj7ADtY6R7CmPaBXOLxypAQ+2MmBvdhiOj79BSU97GMDPnEJqL0fUlQ+MnE1PSFFlD3d3ga9cyoYPRLTIT0t4Lg6LnzEvZIPAD5m7LQ9OhlBPSSuwLM 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 xkhyy98GAevOE2x71OUTA8ln9ZO4URNL1vWYm9hMDkumm6iT1HStq9k7+gvQkAwTus8ci8EAqFvTU/Nr3WtDs9OHdkPZijBT2/jw091AJYvUyMPT3cM9u88Q6DPSAjjDye0ZM84m62vN3cJ7uKapy9ZyqsPDf5EL1YbcQ8PUwYvR4Z37xV5J+9B/tMPfNxjL02gAM9JlQAvP3Rtj2+edy9o2MyPYtV7Tqr8KM91xOjvQpJFD37gay9FtVqPRFZib3lBYc9L9quvTmb+Tzx3/688FuxPCEsorzqNK89b3VwvJB0FLrhLLK9jtemPe8Yb739Uja8JQtQvH2fjj0GRo68zS4gPabgebvVuUc9WK/9vIN/hD1y0929vnQyPEOPK71YlV09zBW/versibx9L4i8wm3HPevrIDzsG4q93LWMPaJ1JzzotTu9Y/UwuybITz01osg6zOfNvctfvL3KiUe9ymq5Oqx4Gr1ZozW+PeXVPRRuBj1DPI29umO/vSZIVz3YK7W7JnM 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 9JvMVgnTyhdkS8R+hvvaP7gL145xg9XPMcPYFK8LwYLe6855+TPYk9U70hZhu99eZmvOMY4D1dq9o6I0INvY2Nwr0wCly8c5BAPRhWIj0vHbW93iDBPFegjL26eYu9nnKHvC59jTwLjqC96fmNvWmrjLxm1+Y8fo/kvOYxvLz36te7CCHmPG/RD72oK+e8iS+sPeGJKTynJIy9k5SdvMt69byJp5K9EZOXvR4/cbvUtYw94huEvBTFwr0UIam9OxHjPWEdg73NgkM8dG3TvCedb7ylxE+93ufFusyFT7yehjA9zsWQvdNOS73mIya9GAEVPeyDZb1tcW66vUGnvQ7IAT1RbsW9rei4vIAmDD3gdww8U+xgvUqLrL1gj107hH8wPTTnyrzd58S9HBJovQSosbvWcKe9/JWcvf67xjz+OUW8EnuOu0WlE71H9pq9UTOjPUyPeb3JVIm99b3gvUSNbbxTupS8zrSGPbAE+7t31cy7gM4UOitOeryFEPS84IoDPccuGDM 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 3JKNO9LOfZvRy5ij293qy9krMqvUJcpjyrJJ48jk26vR/z6L07Lea9Pdm4Pf/l7b17Qmq9ZWFeveCZDLy3UMG9uVltvTeI9Lxisa49yBWlvfJnJb18d1y9iPJuPaPpEL13vre8bGmAvZ2gmbwQyMm9lb5BvD4sLDyI8Zk9FgzDu0Laf7vlp5e9KYMVPcWzI735yXa9N3DwvB1vJT1zmwe9ftwpvdwKbT1HtJY8lnxRvZhkiryaho+9EekNPb+ugL03V7A8smIevQq5PL1gdry9qLVVvR+7MT2rFbm8djMYPSOvj7yiQd+86c79O+qvtrwL6AS9g6AZvcXBob3SAha9sZTYvOypAb3HB6S9r5d/PTAt/bwRu8m95AKJvPrI5bx707m8/FCNvRaQsr0uB/s8G3atvZUJLL1k4K88tmd0PA8zVr35TfK7ahWBPSU0j7uqZfO84lm2vB2RXTvqaBW9ZlzKvT/aTztbntM8HQSGvebM4b0IVza9Ljh1PQSrRTzx8/C88FM 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 +5Prygiz6zEa++mLFNPs0BE74wggO/IQvGPoJZGb8HwS4+l1aoPiNW+r2Q6MC+XK+/PoU6MD7uC8+99SCkvgROiT7v1cm6Gy02PjJN3L434X49Pd2yPa3y+z4YBuu+NkilvSyXvb3Vwek9WkF+vkhaGT8pGWg+p67nvhD7677+rXQ+rviVPlWF6z77KpW7DI4IvriRwD7u5sE+K/upPovajT7YgMO+xPQGvvqEtL7vCAA/yZehPsP7g764Pak+QaufPXBnbb4IGom+ndNLPREbE7/2PhM/LnSlPtI81T46cA6+Q6qevjKZQb/Sueo7J2TiPbqWBb2AroA9VpjWPlBE4T7SmIm+ocaPPUJnCz5wUp4+Cu6OPcYPFT2kVqi+gJaIPmONY70GqU8+dadivsDAur0b5WM+GfKTvnI0jr4JU6k9nevCvThklj3mJd8+dJYDvyCY9L7p7LK94hKUPq8LKL2RDps95tYAP7NFpr4C4Ia8MlMDP2bcjD4pVJY9rPYDv7gYSjM 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 8425E+xHAdP13pnL725rm+//YQvkpJL70xkP49/p4SvVAjjL3xrJi7r/qVvRTHFT5mbZK9Aj3YPTgzBL+kr6C+BWAeP31q5L32OPy+DO4AP5NVEr+z25m9Cw8YPyM0r776j9k+qBPdPpH5BDwGlxG+aActvZamsz4WCDa/G28tP1LsmD5Q5YY+a5X3vn7vDD91doy+gIQWPw/i9b5hoxM/2bxxPh7yT7+TYzw+bMgVPp7Ny74T8kK/LR6APcwe175J+Vc+xuVnPjEC3D0xiDC/j9bmvpNvhz4zb18+nuaHvJsosL3BAdG9", "training_traits": {"structure_gen": "Random", "n_layers": 10, "max_nodes": 16, "activation_func": "LeakyReLU", "epoch_num": 4}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,M y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){coM nst t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,tM his.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inM putDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,M n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpointM s(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=randoM m(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){cM onst t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.xM >0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr(M "#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezieM rVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVM ertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424M .1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,M 42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,M 242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierM Vertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVeM rtex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9M ,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9M ,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.0M 99,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),eM .bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,1M 25.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,M 118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.0M 99,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezieM rVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,M 401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306M ,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,1M 58.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),eM .bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezieM rVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357M .7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8M ),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(3M 71,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242M .5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),M e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,M 427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133M .799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,M 306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.7M 99,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381M .4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.59M 9,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,M 368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,M 361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endSM hape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;oM <=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];M let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear)M ;static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__applM y_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat(M )))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e)M ;const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getM TotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(tM );let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{moM del:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var M e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.ofM fsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elM t.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.geM tComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClickeM d(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}funM ction Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}fuM nction ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.lM ength>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=eM .size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.tyM pe)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="363";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,GeM ,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGrM aphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visuM al,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9",M "#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e720M 20"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&M (In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=GtM ,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=milliM s())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurM rentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(5M 00*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*M le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growthM ,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))M +1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].M length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.puM sh([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wtM .push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(M De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nexM tStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);foM r(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].lengthM &&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1M /Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroM ke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-M ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*lM e),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1]M ,Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.verM tex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(wiM dth/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,heightM /2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=7M 5*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+11M 5*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).M toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f=M "",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+M h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&M (a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+heM ight-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${MathM .ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.teM xtFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.M text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,heighM t/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=nM &&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mousM eX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCaM nvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;letM e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reachesM the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the enM d to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn(M );let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["TM heano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{paM ttern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleratM ion,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b481b9e4dcaa220","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin'="anonymous"></script> text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_550", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 6, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 3, "activation": "leaky_relu"}},M {"class_name": "Dense", "config": {"units": 2, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "WTTTvIGSpL05PKM8R24cvHeqBb3q5qI8NriouwElhb2Via29wvmyvMR/rb1Ncz092KAivZlgTrv4Ih49bOy9vPRTc72GI5g8FkT6vKqLbr0OGsg8l9iBvRnBtrzd5jY9sp+eO68FCL2bJx29uQKAPW4lf72PQ/g8TJkBPXrMHD04T3c8QnhivM34Q72WtwS9Yp9nvAewM73ksiQ9pR48vUu1Sj0RkoQ9q8EbPEG5db01KIy9QjdDPcIuk72hyY+8oJdSvN2RsrwSp6i6P1+MPeJFsTxc99W83e4+vfiL+jyX6jG8va9Hu6XLxbzEzTq8xyTRvPr2ObsHscm9CxPjuzM1xrxzMUiM 8UjlQO7PTmDwGj7889el6PdG6gzwzvR89pmYfvM4p/jxIvgi9nLHNvX5DCDymmkA9/n8FPT70ILv5asa9YbSDPWvkSL3Zg289cCTovItOoD2piBq9aXLIvImLbjtmdhY9qP9OvVjUNr0sxRy7+S/SukY6cD3sZk49i5B9PFFFSL2mkaq9GtOfPVTzqb3LWIE8BL9nvG7RIzw+jhq9qeaqOtGePjzdm+Q8Jf2XvS88jztI5r88uVzcvCsNmD04tCa8zulSPRna5bzcjJO9u/SOPbv3kb2mnBW9P8BavKgGojxYt5C9u66WPa80D73PRTw7LolNvdqFW71smQ49V1MavRUdkTt5Epq7pQA9PSB+6zsS1vG9tVlsPFX8mL1AOk09aTaCvfMNTz3t/Gi96a2LPPb3hzyEYmU9g/1UvTKDXLz41SG9i5pOvQrb+rn8+YY9sZ1Bvd0cnzzoeAW+PxtDO1xcnLxazym8D9OMvYEUVDzXaKW9sOuAPWzEeDyjbQk9JDWrvXuM 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 9ZAayPQfpDDxuwh49cEnhvIc0m7zPXMk8qAxaPdbVDz3wKcq8kN2Wu0uJMr2QVK+8xnWTve1LmDyeq408LkyHPSm3jb1g1Ha9MyA3PbkLH72CHbk82FNgvdXYmTyPxKc8CLRZPPm6czy8iWA70MZ6vUZMhrw0OBC68/izvAZgLj3xk8W8+oTBPFvCgrzG79e9qENYPEMU3bu46xk8auuZvEC76rzLY5S8de+ZPQRDwrwEj1k9L4OlvLluIb3FyR68qkGJvU2j9bshHzk9sHw+PRnIDLuM8EG9CFdSPVODjr3MCxe8RKySuzIKFz0DyOO7RxiIPWaULr3zTgG9kAg0PKGQOb0kNSM8HPTHvL+tGD0HVxW9Yk2EuzmEbjyN9re9K3rWukEZ8bzlrts8bmEUvC6qn7sFjs4880ymPdbXIzw12RO9uoR+vYsuJr2ZPyS9Jh4MvUNscrxSmDQ9nkW2PO1Kib0hVQS+E/E1PUG2Yb2M3Yk7pF+FvQAOOTsf/eU71WMQPbDM 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 9U+WSOjvkUL14FUY9Ta0rvdZnA70ZP5u77VtkPdg7Xb2VZCM8iusXveFRn71rYWk9CjPuvFL9jrvNvAO9FievPDX+4LzIh6e9fnArPZpbur3qQ1C7nouYvAz3nLvweBg9A0S4u4O2QjygarU8HlmIvVFicb0tIsE8ugSXvUWa0jvpZ+A8UFwPPU6iTL0G+qS8xUydPUVkiL2KKOY6BWlTvdRDsjybJ0s9B02MPYv2K71Tc9W8pb2xvBoMLzz1e1k9MOAivKO3ED2ngx+9aTBNvEy7Or3IZrO9U3JGPOZCqL3TztO87rW/PEP3zjywkM88FCOAvHEO77wUP8w74hdovWcUWruZzMU840SIvalhN7y1uiK904vnPHaEor3GOG85FjIqPSobYL2Y0zG9uIgkPJXHIr13GUo95U6RuwNYzDs4ZtU7gQqFvaeKYL0beoq8sgqsveYBML0vwg09Iv7FvIRK+rwxgeW9jAoMO3UlOr2fEMG5lZWnux8vkTwSu8K7gtCEPahM zmDzhWQE9WEKKvXi+Lr0qbn29yrwtvWIgYD3MRpO85hYOPVoG9Luq2oy9RcqevGhkWL2diEw9Nekbu0jUsbtn8SG97uprPd2eFr2065s9o0HcO2Q6oL1ZMA29Uwr9u5qkWD0JZIC8P4myOn0m7zv0YeC9J+Znu9xivb118A49sVCKvY1vRbyx64S7PkMgPBjLRDsn0Wa7aJGQvV3X9DsDuP27Z44gvWjsiTwrKzC8KvAAva5nvrzYHt+9C5EpPbZDjb0Jmg8920V6va5WzjqioZ69wJtlvNyMPzyQ4028gLWjvNj2S71M6Ae820qSvcFXObpirMK7kOv8PL14cr2HMBO+q34uPZ28ELsdm5m8INiqvQKF57xxgd28DiKevIqPsDxmcRg81Wp9vcRrYL0UfYs7GCTVvLJZuzwH+6w7Qo4pveptwLxtEoK9UZkuvDmNKrwNeEM9Zle3vTTHGbwmwNy7mN3bPGfUVjzFWEU9bLjnuxwLTzpnME89ediJumMcKLzoyZsM 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 vx7x+Ma49V0FuPSEqdD0uOzE8ZiKhu5hPIDyllr47ZOuJvN54wjztxn+7zUUWPVRTibwHNwU7JRJ1PX2AT71meg89KKhTuZE3tLwv9ok9QnOKPLEZrTxoS948Rpo7vWGhYDyOEvo8mimlvKbf8LxWBRs9r+42PfBWKb0o6H08IHlkPR1/Nbytwo480p9MPW0FcDz5JNq7G34MvcmHGj3L95W8WFHpvIAJbLv0c6A88PVMvVARRT1bZjG9nHncOzqdyb03bcY8mcEEPUIOmjwMHGq8kR8Ku1Ezn70CUoc9tBc1PHFtDz0HqgO8JV4UPMn3Ej2z2D89HV0ivUtknz3DzmW8oFiOvBCZ37zHf3w8ItEcPeJQO704ocG8VlKYu+Lvx7sWjUE89XYjvW73h7pW77U88lW0vPANYTjkNOc8q6tJvbQX6jtFOBu8MHohPfDsaLwjTwC7Kkt8PGTArDtGCaS9hw8yPXoGcLxwzw49VoUXvahc+rvOfSC9LWTwO5IePT3lWkQM 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 sDz0B6XY9xiQYvIJDkLkiSwe93NCmumxUojxvQeE9ZqFNvXWVXD1eeZy7TENnPDqPJb1Lg9M8zrDIu9QYubzWtD6958uKvM7u/rx9UbY9h5pBPZTRMLwxxSC9cHeVvNOxXr2bXJo8NUyJvVv30zyhfh478wm4PLqUADzIFr47oZErPeR+2LweDqS8CN3aPFtmqTwVs+c8xbMSvGiuFT2IIgI8knsVvJIrvb1rRUi8V/5AvJblaD1MNmy8Slq2O0RVLzsLRKi9dbXUPH+h2ztcDI29rbrtvHbNwrwSyE68dcItPMa3Fr0kGSo9L/ezvd3TQL3uH/m7SbOWvXT0jj0AK627m9LnPMiEG714Hu69xMqvPH9Cbrz78xW9NgS7veMOBr1Wm/28SFSwPLiJ/bwjRUC7mW3TveORn7zY8yG8b052vT5XWromlZO8Lz8DPYrM7Ty8C5O9ET5MPbfjP7yEuN+8zFTmvZBkm7zRU4+80smWPAYRoLzbLtQ8zHMpvJk0DryrVAkM 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 MDj3Wk7g8C8ncPPAIezyMjdC9hw1cPYW1wL2sUL48AkWQvYSxBz3g0oq9FWbaPJOaR70r3DU97n8evZWsebzQYqG8cw4ZvTPqij1uqVa8uCEHPUKZpLybjpa9HCm9PMVfwb0MI768GfMAvkigHT2x+Li9BLJLvLEIajxekl890+6mvZPvG72bP0q8wVTTvPxSmTwvOa+8WwOfPKz68jzSMgy+30J5PTxYEb3yND09jRDdvdD+EDxSHhq8Po1SPViwkTybqlA8Q9eCvaGxQb1RbLe8qCwpvHHsurxvBqQ9rQpFveDAjrw/0aK9q2ZZPV/OcLvCFKm8O6bcvfL3vjxCwcy9lud2vM61gL0Tgk49rW91vTkBq73JzIW9zkhOvZxz0jx/ssU8SgUDPeECMroczgq+NQloPWcyu7uptas80jelvaxx6TxVmpi8CbrwPGfjLr1Acq09XvGovRXXt7yj8iG9x4kqvbI5RrwVpto8jWMZvTDkHb1wshK+0UyNvJ5dyr3ufSEM 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 8dGMqvU3mKz3QfcY8otAvO/DHGD3pyTc5k100vc2kkT2WA2G9Ge2TPec6U70j6n07ONoEvcArvjvnnCO9AQXqPA/onTzcnFA94EYqvS96QTuR10C9Nu6oPfaojj2jhvw8K8W1vEpxiT3gCou92GfRPQHu2Tw10Qo+DTbsvFGtjzwKudY7K6pSPb7MvLryOKU9wec6PPBhjjyudZU82iUQPjXdeD3s5eQ8hFfxvAKXKb1XInG8WUftPVBwmTzJnmw9n0+6O5vUsDybvGm9CM14PR2WlTou6RU9E3AgvbxJUz3azm88fJ3/PS0ywD1vyV48ut91vGLomLxKUMk8HyjJPXnOHb2IQQE9774MPUDEdTvVsz88s+t/u1K1ij0fcyg9dCiDvfDvcLxqzRe8nsx+PeWbcD2quvM8gi9+vVYboDvKBYg7MgQdvIIjkT3nvzi96TXtujP/CD0RanI71YI+vTm22TwBmCC8FJFNvRbv1bviK5Q9uO52PSLz2D0a4Qa9P/jCu85M 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 8xZ3dvAPDUz1E7KK8jKvNPHqVi7wqloM9fAw7PWxijj2nU5c9EDadvZIvnD1agzY9BJ3iPSXxGz0wP0E988M/PVl72DupTiA9H54Vvc6RJDvhri49r3HhvFBtjbwHnWm8zv/xu2ehMT14mcM8hc4yvHbhHz0xibQ872+CPQydODnvKo88dXI5PRuwK7xNYBO9hTtCPXgQXbqYy/E95bIDPcSf27ubl4894TYhvQlEjz3zCP48y6EPvYMrNDwWYoi7+ydOPVb8jT3Qr9U9djljvNzfgrhzI7I8il6cPRMDijx6W4g9/FmAvToBrzodKPW8nySUvWirUDyiACa9AxYHPahSzzxIDnm8MrLLvKbGIL1fKKc8eMZEPK2xwDz3oGW9pKdWvVgPPr3sWQe9F3qgvQZVrTzOM/Q8yBkcvTs+e7yVZyO8qYiyvN9foL2J0FE9HH4zPDKUirziwW49oVOxuzBsVDzXh7m8ufX6PE1vvLziwSI9VC2BPN2Tbj0T2lu8DiCPvXZM 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 yNryfWpy9T+9APLbVTTt1jBQ9QoSGvWZCLj1XHBA9gfoUPdiRBD2u8J487KlQvLcfcj12M2C8tVaTvDBX87yWQYQ9l66DPQ6lNTwgnjo9bSFovBhG5zoHzT490qd7PU+YVj32xK08irw7vfSsML1IiAm9JW6ZPdBxsTwr1Ak9r3r6PCXbFL3SJDC6iwrYPcONMTwxKp896eqMvUXnrTvrCAM8ycfCPbnGszwMtqu8Q5NzvYEoFT3W8aM85dIKPEY7m73EkTM9yXIcPebivLxkThe9a8ievDSC572bFB+8fAgKPJZ/Ej0KR9+7xyAJvXXP9b08pM682kkYvQNif72l0lu8VeilvXFtAb6C+rK9PpgJPTVeHL2JLrw74EAYvrgz9r069pC9flMTPQ46+rzZWfQ8Z1DMvcxXB76Zw2u9WU9PPVkIfL0Cx+C75RvPvZsSGD1FiQm+pb+uPBYz2b18fdE97YSHvT6MUz3hzuW97kdGvfWHtb32kxc9oDI2vKqxEr2vpMOM 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 Gqjycqak8ILHGPZQpxT14JIg9TNtBvXsa0DzeAkI8etEJPd9AWj2xc5A82KDGvb73qbvSKlE9k9UAPurRGD5rtdU9cBCMPG6uNzvwrTA8nwsNPnFLMz6VNqM9imHpvN9xsj0rXdO7YB/JPReX3z0cerW8GYszvTffpz2dI2g8NxN7PTNMGz5BNIK8yj6RPZY+cT3cE+a7iAfmPey6IT4aLI08P3IpPaS0qj1vPw29TSnYPX7/xzyU6QS5AA3pPJV4mj1sybE7vk1AvIvNwz1Ovya+/AUFvd7yp73RErM9SuDPvByiejyvfcS9a3pbvfnNrj3Jis47S7vSvMVobz0rtLi90mWDvT4W0jxF/og9JhkBPbiazj02xbs9VM7xO1ZhsrnK8lE839f0PEzWazxRAN098kv+PDj+rT2dmVM8omN8PTst8jzxw5c9jkLfvHfWU72Qwie8cWU4PR6gWz1L3SI+WxhfvY/uTL1BLu48rpqAvG6tgb2Vibk9JNLFvZKUqb2s5sYM 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 93oTGO2zeqr25/fY8eg0vvcsMor0mPbo8ejJPPYhecbyktCY9OwMUvnCVA77xrre9s4XFvHOo4Ly+Tu880YU8vQ5mNr62D8E9op6hvINXBz0dzAI80mF4u7dK0L0g9OA9ZOmEPV0xirppuia9iSqkvXorNL4KHns9AI8MPVB1GLzsNZY6FpDDO2F48b3EBrE98h13vXs5sb0x7ou6+bpvO5eQ/DyQABM+AeKtvYWfKDwEf0s8Gu/ePONNAL0MM4Q9Zeu2vVlWC73+lDI9AYsTvTWyg72muAK8R8nkvHIJ4L3fe1A9WKvRPLBJzTy3rIo9G53qPGbE1DyGDjO8pYvAOwfCzDs5Quy88whjPJWG3jwDckQ9aa0VumIq5LvcEpE8/5HQOwBWJT0Fwga9EcT7vBBGXD1dXMW9Cr4RvXbvtDwLGKC71KN2vUrWULvOAru9r2pXvaxNiDzc1m49qKe1vL7t7bx9nlq9pyq2vM8HKL2xfhQ7Mzr1vfuWZr171OW9UnpoO3UM 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 +PhjfvNl1pj0F3VG88bEvvdUYojufz6o9HMa0PeAZuD0jW+Y962+qvfCOPL0N5689I18SPQLqEz7//gY96Nx7vYjWkr1ZBa09vuQAPDB7gj0faDu89q7svN1VLLwI0p09LuyBPZlOzDz6gKE9R4mivR7sE703Zfk9bCm6Pb6iiT28Nw69zsxUvUY247wPl9U94PU+PXezez3h3xW98u0+vVK+Sb2bRVA9SGKrPVpgNrskjj49uBlkO9f2Fb1Rq/e6obrOPRP9kz0iuqW742ebvb8n1bx3Ggc+QxB2vLbU0Tyzho69nSZNvdyYM70JjX09lhb6PGX7arzrdsg9+JQUPNI9J71inDw6/KrEPf2b2Dy811A95Q0OvU/wg71OBHs9R9qRPK/SrryvT1G9ZGARvacv/ryDTDo9Nw5jPZpAnz0+dRA+6z6SvT4ORDyhc4U9/q4CPkpfTT2rPGk9XROCvV6xLL30eJQ9oi6iPRmXkzytloS8wepfu/lvs7xKAyU9lYDAPTWM /ezvxtfI9GcpwvPcCtb3orpg9nOqOPWfcjD0XIVk9zNeVvf7AKb0wNrA82M+9PV6D0zyDqt+7K4KRvU8yx72RfBY9JfdFPR1xPzzoKZk94JODPKxhFzwTdYG8/VzhPZLSzz3bjCg90qAdvV1atL2+tb49KlB+vK76GDqcaAc8tJgNvVAuMb0xvtw9SjLxOnu6ij14oaC86+LJvSDA2b2P/Cs8AxOIPYSjij0DcQq9zwE+vaLOfr2hceM8llweve6Plz17GY29GkicvHm7/b2oMMA9nGHou8vrtLvslWa9Rom4OzEYQ7yBVfc8qXhZvSpPeD1gKRa9oM2fOralEL379d08DiwMvZsDRj0QKWi9W06QvD3iPb0xTWA74cBbvSZdybyBotW90n58vSl5n7z/93I9jf1dvN5bgbwEg728AcJOvcgB+bz7cP082qfAvEpGGr2rdvO8mNIZPc44jr0yHTi8lgW0vf6/Wr16A/u9CP4yO/DGcL3R3Mu8LBY7vdZgILypOhaM 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 8KUq2vLvlMjxqhYs9M5HlvMQl9z31Cq+9PA7jvcmvtb0JFMc9pLVRvW5Rbj0zFre9tykuvTdenL3Yxp89SZalvKVRpTszvPK7zMFhvcY8U70Nv/A80PpTPQPqwj3c6XW9lFukvfPUxr3xxQw+JGbdvANmvz1FFQ+9DwmYvcNLh70fSjk9Gqg5u6jbwzxDaze9dhIPvQlzWb15GqI9530gPCsadz3KI4m9D88xvHx+g73u4Z89wU/GuipSJD04KIe9dsxhvDsWPLr1K4E9LQJqvaCtRD1xjgC9p640vfWVxLytgio9tEhlOzlVqz3dl3i9YQ+ivSgozr3GM8Q9twlhvT/TjryX1b29NuEUu/f7zL2Z4Iu8buHPvSvePDz6I/W9qCiTvaaZwTkKRZ08X19uvdIDNz2qK8q96/JVvZT3vL1n7xA9T9DkvcCombzbScW93jwiPRldZLwHUpw8h35evY0nDT3Sh3u9ow2CO46hNT3dm0M9q/uQu+fU2rw9Mmq9aKcRPBLM 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 VJ7tsraE8KBiWvOgu/zzgI9u9heOEPaPv+LwP/ag7cDylvSTodLwoXcm9fxf3PE/HOry+SlG9pYPRvZbY4DyMYIW979a5vPQneTwSFc28w3oGPZ6yWzu4lp29TDO8PIs6p7tYOD68EXsNvuxIKj3VLyi9awpMPHGOujse5HQ8vEIWvtiwv7zwCJa9ZEU3vE99Hr09qYM9ScMVvT1HnT2Fz6u9t0wLvflooTpg9Ks899HjvT5nODxLdw2+ZBFEPU+HnrwbINI8y2ZhvfH4VTyT8tu9ZtwNPcFeujumhlk7gLxMO4lUcD0OLTW9BJLuuWaQbL0bhwm97dq6vYOVNL0Bp6C9lsNFPRd7h7vGfoU8qgWbvMyxazweZru9fI43vVCBEjyZl7K8ck0MPdZhfzw4CYy9t1+9vOB2sTvlDPG82HXevJQDajyrayS9uzsBPbigqry46Tk8kdCHOwNgwjw7vbm7cR3Ou6fpqzwoE1q8uH2dPV/1T7yxZUc8FKiJO/TEurwePsAM 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 Ia78Izz0/O8PYPqUZjr+Bk6u+7Tj5vYqxzT7zeBA/oVwXvtc/BT9LOSM/FDSMv982srzWTQA+LKRCvlckP76OQBO/wxVKvby3hj+4dxg/rhIKP8xRkb8jVi+/UHJKP3lUWj+TBrI++ffhPg+XML9Nr64/XflqP8grgr9yHpW+JheXvki0S7/vmw++JI3OPPDrqz8EKI+/TLuKPZbk7z/3X/m+UA82P5Tcqb+5uFq+EFl/P3+RbL8I6mI/SkQ8PxNBiz2wNrk+wtIKv17TW7+DFPC+reOBP9a1Vz+OxoM/DJKavqENFb8uVIw/TUOIvrHbET/ymU0+V5ydP70s6z49tHe//5CNP1VXZTwo5eS6Fcwvv+97lD89FTG/", "training_traits": {"structure_gen": "Triangle", "n_layers": 7, "max_nodes": 6, "activation_func": "LeakyReLU", "epoch_num": 4}, "classes_naM me": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cyM cleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,thM is.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronM sLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16M :3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=M t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,oM ,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){coM nst r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]M =e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){rM e(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,4M 8.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,1M 50.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bM ezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33M .5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezM ierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.M 3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,45M 5.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.69M 9,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertexM (364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.begiM nShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,M 83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153M .99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115M .8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.79M 9,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.M 799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierM Vertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(M 299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(25M 6.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vM ertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3M ,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVerteM x(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.M 9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7)M ,e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.M 299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,M 225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endSM hape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,M 356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,3M 04.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,M 253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bM ezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVerM tex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,3M 54.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.M 499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,33M 0.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,M e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rM d":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.maM t[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mulM =(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.M offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];M for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;M i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_M relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.M activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===argumM ents.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arM guments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pIM nst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levM els[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===M this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.crM eateElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAM ttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguM ments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.splitM ("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._cM reateLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="551";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,wM e,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCaM nvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=M r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1FM 1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706"M ,"#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=M >{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineM Anim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+M =1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&M &"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=cM reateInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*M le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.geM tBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==WM t.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;eM ++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].M length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[]M ,yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;nM <t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDiM m,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e+M +)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&tM .push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1M )*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CEM NTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/M 8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(M CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,aM );t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.elliM pse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(M ),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&M &e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const M n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.texM tSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for someM time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let M a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=nM /le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);foM r(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.tM extStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRM TH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGM HT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.texM t("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.texM t("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}retM urn i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);rM eturn color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(M e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${M n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="M I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing M over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=miM n(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["AM dvanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1M ]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.M visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b4843825b3f54d9","version":"2023.3.0","b":Lj1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 xxxxxxxxxxxxxxxxxxxxxxxxK xxxxxxxxxxxxxxxxxxxxxxxxK text/plain;charset=utf-8 D{"p":"brc-20","op":"deploy","tick":"WILL","max":"7777777","lim":"1"}h! text/plain;charset=utf-8 xxxxxxxxxxxxxxxxxxxxxxxxK text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 Fortune favors the braveh! text/plain;charset=utf-8 text/plain;charset=utf-8 @{"p":"brc-20","op":"deploy","tick":"GOD ","max":"777","lim":"1"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_380", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 19, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 19, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 18, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "GDpMvftPDr05VmY9m+zuPXPeprzUFtw9x4oovUUWU73ANoe8VFqCPZBH8rtGXgk89jYNPJ5J7bwvthA9T3hmvd9StTz9asW77/U+PdsMJrxPLjQ6nXI5PYJeEL1JSTm97ti7vCIdiz0geQ48aM 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 r3XOxk9gNecPDsp+T18JF47iwzSvRIQRLvZWIi9h4PLvDjsmr0bxzq+LjDouz7c6bxNYKi6lVcmPYTtD71d5+q8UJqDPTuFpT3UsQs9y5WwPRsLS72+q9C9wLzHvO4F0LxkPXY9s1aDPIuRgr0pJgs+vxikvdLrNrxdwG09BNplPEzqx7zIXIi99qcoO/NmVb1/WgI9/mPWO8gaiD0H9KQ6elpXPUL9Rb26Hwi+okCtPVjsIr1xRqW9Wym6vQNU3z1LRY89LHCpPCCqQL7fn6Q8gW08vPH03ToWSAI9aJt0PagbAb1/CfI91E1ZPYlmtD0dxRe9CUfgvUPp1Tx6UBy9Q/ObvR3clr0NkA6+VqKQPN7s9ztiWj697YhtPWF3V71681U9d9jrPAMeiT3YOx49a7qYO0MXiDxbbEe9mkelvXX0s7zIrro9dnGRPKU4qL2M/lQ9RveOvcEjGz0fyUi88myyvCzEMr3N8IC9eC9APaX2Cj0iRp+8D3C9PUhowjypG/K8bM 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 BhovXrnGr5OkB2+jbwdPdWE47t57s+8nYgSPVgqU7y6Src9d1ruPQQEiz0LldU9DG+aPUslQjz5Y4W92vXSOxlwgb29+IA9BUooPTRFF73OIEc91SB+vRo9a72twUi8AaHiPOfesTyfOby9phlCPeZzW7wp6pK6wamQPRqnQz1xssA8k4zgPJvzor2h3jy+j49MPWVaNL3nrZa9rwtmvQqXgT15DBy8D+GrPaNsAr6CTrg9g8UGvfl+Hz2zoJw74lSkPfR31zs5t5k9EE+SPKOwAj5/oqS928cvvjcU67vTX7K8OnW2vfvYH74Cs/K98+3dPB/ak73zNrO9WhYuPeCQjr08l3g9NbzlPYL2+zxNgkk91rH6PIHRQD3xMpm9uGoGOhkxdL1FrEI9BO8bPK2Oyr18rBc+eeoMPDgxu7wtpDI9FMskvcnQBb1jaBq9LC/lPIUMiL0FlUa8xjNAPaCYhj1Erow90SsgvcPBFb3fAK29u4uOPUYynL2tZ0K9wFGZvfcGAM 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 lZvPXzo+rzaLe09hkrOPeMOAT58mma8yA4UvkQXXrxAZkq8Js+kva54LL6OXy6+EX6qvHqz2Dnfgbe9AydiPaVJr7vKbUM9zETQPSJV0Tw/+Vs9Dl9iPEj60ry9DAe+0UaJveKBM71w7XY9DpKjPIC7mb3a/rg94zOavUSkTDwFGVU93x5ivbwtaLwloTY5rFBYPVYtCb2IypI97hDgPZjL07uGFei7OwJsPTJ7V72T++29TQimPRlNor1EicS9ZYrdve9Lhz2D6PY8m3eAPSwxEr6kNN49NA+YvUmpJj0ypkI7gsuDPV20bD3ipQY+LFu7PZf5Tj2e8vC9135rvrUCubl2F+G8QX6NvchdBb4XIGG+RosGPQMshr0LJNy9bWw8PcbCW70gB6w9WA3mPUaNuj18OKI9uG4MPdFcN71D2ou9jdeave9hxb0rLSw9ZEOSPbbuTb2DiNE9JL/RvFkkQ73L/xM9hrGJvVZPNT3T0MC8TNxcO08xkLySmqs9hujIPaq2wM 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 /eBPez87rzbgPW8DlMkPQ6Sx7qRb269iMOdPCdELb2oL4u9bX/pvD0IVT391/g8/dQ/vTb2w71JcBo9YtXJPBqN47kiKds8aWR6PNwAXr0jJD49Y0BnPTm0Kj34/U85aMWgva+QJrvMUKG8vvgwPQOaW739FPm9Syl8OQl/tbzSclu8OGfUvJ43Bj0W42C8s/CfPfJyrTy+ymo57LhLPRNnDT34Vuu91J2lvaw+Qb0plZo8W1nuPHTy3bz2VQw+AuqKu5uhL73rREI9h7X7PP9NLD3yd8Q7dKvCvChloTiPPUI9pLTnuyMBkj1xC8M7jmcovZpBh70cH3u9SBe5PeAPCL3okqe8vluhvXS99zw5Dws8Yj2QPaax7b0y/1E9ICUXvUJjWbzifyG8EY2QPQn4g721mNk9hZrFPf1f6jw/ZB+8JQ4tvkB+iDys0Gm9s16TvbfFY73CJwS+ui4FPQn3Ub2bFPK8dP9ePZNinrygQwS8eyfTPIDpST0tL109T5SPPazugM 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 z1EsBU9pVriPHNwOj1wnty9kdZLvZtjAb283rE9LobCPf+Rhz1QRpw90lDOO1NTRLrGT6S8RWwJvQ0QnjxrwpM9MxZFvILYBT3WLfA7FQ8OvAF8hT0LIwK4yu3fvOTR/Dz9NXO9uaN5PJ59EjyAcT683O4ZPAyVcT1QmXM90qAnvReFxb3HgLQ8K5wKvcbQ/byJxII9f3gMOTzIsb3jpL49umyXPUkInT1tpGy8do7gvRdM6bz+FVG8plyPPPycbL2fN5y9yssTO5rMnL2flVW8tq4+vETRjj10uGS8dcK3Pf/P/jzqzPW8ihAoPZUhPz1Xe7u9aUSvufuzFrvCnn49VR3ZPZkepbziAf88hHymuwJcFL3F9Sm82nGsvHjvEb0Fap+8pjR7vPt3O72YxL08cC9bPGboBz1w6ra7hR4rPQcdFb1yF5S9CmuPPRV0gr3WLtq83yggvZHY3j0wGxW7hhQnvQBvHL4fth47h58CvdCB7zxYPQG91h/ju/ZIp70kOHI9wM 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 b2HdyO+OON4PaQIK721H8C8mu4UvgATaD0Wbas9IPu0PADZPb6e1zI8VKJIvbOWv7syZC89q6C8PeL9cT0jvbY99KoFPVotFj4Acb295FxOvoWBdD1vJby8RsC+vWl7LL49m2O+IW0dPcFNZL245bm9Sj5zPFeNBL354I07nidWPWJsqT0PFzI9O/T4PRq6pbyoBtC9S42ovI/IgLz64H49m43NPQPXyL1EOhM9GUmqvftonLwrSlA9JUUAO6VM57wXZjG9rCRevDgXWLzkChA9LtN+PfLvND3j3Fe82vjoOkbi8L2EiyW+uVAZPaaBL70IS7a9t6UFviWgnj2FuKk7y098PcC1ab6JBqU95tNvvVmaKj18AWk90zfgPSwGpDwoNAY+fuu9PVM5ED5vz/m9MGwyvvFHCr3I65i9TD42vXq/Gr7LqG++rlYfPY051bybdte9eKmwvPlNLb37HQ89Ej3dPVJccz1235E9bKgIPvQaBT0a50G9qXywvaSXSLzCjMQ9JM 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 70tElA9T/vgPF3naj0aaNc9ocCMPUlPHb3cnsq9EUowvZPISL3kD484xW/APR+w9TyYtmg9ER4+vWbGhr2alX48dRXpux3VVb2Idiy8aDWlvJ8ERTygi668MmVyPSeCCDvU4vE8W9NPPSmkgLwT6MS9amJIPU2tkL0Fmlw82hipvLzydj3AnyG9ML83PZjQbb0WWhM7OtVBvShEEjyB4xQ9TAEMvfmAmr0/BgY9ka6TPaEHCT0Y62Y5PDbGvWu16TwMCkK8NmSNu4xBe73GxYa9ElZivebEdTxMVdW7hZ3ovKzdA73uoFG8zt7RPCH94bzm4EY95g1dPV0OHDyhvAa+lbjbvKDSJ706ZQm907g6PRdThrxktwg+x1YVvJJ0Kb14uB29YX5/PU4FQb1qgl28wK2lPJbx57ya0wu9Kv6hPYxXlDuds2G8JPM3vORmPz3I7rq9oqQgPAUI6byT9Zc9EY8hve64AD6bsTE7mKcePeRNDL1pNeG8IHJ6PQ5IGzvk5oa8jM 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 6eTvVTXOb0BiK0998vCPawHIb3X1Zs9zWGMPICCFD3GCQw91KM+PKAq5LsZ5wO9eoBAvVdkLL3GpSa80JQ+O5p9zryhUiQ9gK2QPJ7VEb2Z6JW9OL3ZPechsb0R5ci98GWTvdTZ7z0RF488YL6BvPSgKL4eH6098AejvRM1CD1WOJ+7ZX9SPci46rx4Tto9I1+yPP9TCz3+Gy69cSvEvXnnPT0kHg69sc9SPOuRlb1Oyui99ODNPLiKk7zHOCO9X6MJPSNoPr3PlXs91eyWPGdGST2/5fQ8ijGIOq4/WDzQFXG9eOSxvKTdCb3uOqQ9DLLBPe7c5ry55+E9pJ7EvQVxWz2f8Im8EjBzvbnPVD1KrlS8eSNLvbwLCT3mgtQ9/XfFPT0QhD3rATo8xqUfPWSW7b0yg9q9PYo0PeAQmrxGfGy8FBIuvgDMvjvxWUo9XosoPQCbRL6T/uM8vf+GvCJr1zsLlUs8NIWXPRcbTj1jBb89YRDAPWdqpD0LtJa94JRPvmJsuM 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 hBGPb6t5zw5oaC9vf9vvcUMKL1whZS74zQ2PBR7Ej3x/o09kY1YPM+QS7xrAJW8mWwHvepll7xslzm9zAwuvfnV2jzAa3692VSrPZ7vKzxLIUo9hD07vULs0jmM7ti9d7M2u/eyjL3+nAO7V8LDvUPnmT0IibO8UluhvGEqar3fZJu8VY4PPbJ857zjmui8eENHvacdlbsxF149usiIPf8+wj14ruU7QaT1vYofiLszjMC9u0RyPQ5bsr2i/eW9atEkvaq6br1yrws9VlYEPcOpdDtNOxO9T/8AO273qzz67QG89DpePSJChLs5opa9CqeAPK+eUjxiIq07jR2zPRqBTj0tPQI+eMw7vdl/CbwjENQ8bsMAvZvO2rzQ50K8DCX/PJuFXDwHJ8e9J4EDPJ0eXz3L8ag9rkCSPNQV/zw+WIK9KNxwuyiNML0UqWe8o9aHPKuVwz2Mv8K84y4lPauiML3cZbK8HBsUvVq+vbzAYRi6JRcyvb10DL3tdeW8ArxLPZEHrM 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 N7QuT5wJr5jJg2+0Ca6PBsueb3LRyK93CAJvetnFr0VlNw8S8c6PYkBhD15E549awvJPRhoajxzHZq9agVXvRBtob1amMw9fLfJPR4D/ryygmU9aj2ZvWyWXj2SwTW6AvRqvSpGKT0t5k+8mkwzvfxSuzz3Naw9OFpbPZSZoz08r+Y8Vn4xPb6Kxr2WJDe+oAbOPbBOhL1ol9a9RbqZvfSSsDwlajg8rOiJPcfGML5zHbk8LGm6vQ+6ybybgUa9OBxuPRoW4bwG0wI+BOJ/PVpZij1/Kw69A9A/vr01Az3gpJi9Lk+fOObM7b1yAT6+RUq5PV2wWLwW66K8KNYxPZHit70iP3E91ueWPG0QAz4uuOM9L/8gPWaIqryjmIK99WSvveeukL1VS4E9WtAsPQf8gL0nTpw9FD78vR69bLxELk48x6kUPDh9gz3/FJ29iNFzvY9mizwZDYI9zROGPaEKGz0obZa6ulwIvJ/kBL47mPu9DkOvPUZd0b3SCcW9/OHCvTmArM 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 +CwuzZbmL2k3do8dlZ4PZdgrj0EeXQ8mRPTvHmVEL3Hm5E8cBOfPLESLDyBOHc869n1vCwmi72OYCe6iH0dvQTGFT3BLqE9mYSVPbJCVr2Z1vU7StAvPGrbwrwZ3Qq72GLEO/qeTb2AQEM9VPxYPYftFj0nVoM9TwmJPck2FT099E68JgnGO3kZp7yU04c90X1gPVQUrDzSaHS8pPPuPN74sj2a8QU9XXjCvCBzuTuStxu9MV51vOPxI71gAw89P7gGPIOBkD09dgU9KjowvLc80bz6N8Y9EhAqPcyoLL3fFjO8uxB6vZKh3bwoWOk8XjnjPaTE7rq//Hw9yhhhPI6StrzA0Hi9ynwePU+bhT2s+528Nd85u9MikD1eRpe8tjg+vWizAj0dp3M8ErTgvB1Jv73nL/O8Yid2PKBNgD2w/MS8IeLnu1i9IT1YAa49sy2eu9jXBrz7UFc9uuG8PaEQJD1TNak8lDgmPTQikru8y4087vQtvBLefzw2C129dQ1KPBYFrM j0xyqE8ZiYJPZsrtDtXC4M9mYToO8ZALb3Mvm88mn8OvaLyCj5q0a09UDMCPMkKfjuokZk9D1kfPaDMNLyynO48DfWovc82v70aDRy6RLjyPRh7tDwNwIE94RNHPa2VAb0bWIO9kKCqvIeucD24rMw80BL7PNH8a7wqiba6U8divfSK5jxk1Si98YyKvdKIqTwwBZ69FzBDvUH7VzxScDi8lisCvajDwT3Qz9k96/XvPC9lMTsJVhw+OiGoPVOaCT6cSqI8WfHuPS2eRT0f4bq8dVr9vM/8DL31jMG96c2YvAhsCjyVxpw9GbS7vb1idzyfVKs9bSBdPdDAjb2rj5I7dCxtuzoOOz2n+KM9VOS9PfEU+DvuMX896p1hvcSrdr2bsqS9iUyBPN4nyb0SDiO9C9RoPSYrsbdrxPk8ne2qPfD7hT3kOxm8EEuEPKXbdz2P+IA90eyBPXqxez0fk4Q8PpuKveyVJb3mNqu9VBQRvVXR5TyxHA+90sVxO6pVvT3z8Kq9yM 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 3X1vLW2mL06zxS9fj++unN+NL08AQk9i9KfvTlAVLz0xWu9WmhvvOiITL1E6X28MsVDvZtlYDy8piw+I7haPScr5LyBZak9Q0pxvXqhtbsGTcG9IjGBPf4uKDx3ZYO906uLPWkD/7txjjC9v/fQvMFqlj2uYgK+MGPJvZU4F716Z0q7hxsDPr9f1T3s+JG98/lKvMC1ib0Hfga9lk0zvgdEojyua8M72AU+PeBLX7tNjlS9obuVPXXprTxK+iA9BD+pvUxnyTwJz1Q9s1SIvNiNCj6gQUa9aLC9O2MVkTxh+iK9QCsEPA1whr3ovEa9nMzmvJYrEr1JCOQ9yIZMvWUdND3zCJa8oWLZuy1zx7ynPYC9X3U2PWwupLzfkhc+w40yPVXdrL3UutM7m2HAvWtOQLz8K+O89v1YPM0DETw3hIm9Z3e4PZqJorzfOjw9Jzm8vLO6rTtAvdm9i6C3vY7MKD1jOCS9hsDBPZO3uzwgiMG65kdNvdC+q73+RiY7+L/5vXKpKM 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 L5SFky+44maPZqe5jvT0aq9h6KgPVsDs73qdms8TnMuPTzzCz7jxaA9OUS5PSsK+bzVXgi9z+f9vSx37r0gVIM9GShMPWuvtb1wqoM9lBiFvbs4rz1nVQw9gH71vU47qT2ap3m9Bhecveh1QL24vOQ955ntPd6upT04m+W5KbmtPGn40r0GjjW+ScGTPXvovb302wi9rWANvtoNhz3J8KI9ZgOuOjc8d76Dx4U9WUbzvO1HML06TiE7ktmvPaWirD07Rh8+eBxEO83cnT2nTAO+vAY5vqJAPT0TU1+8i+fOvQj6Cb71eEe+0u7NPc93sLtNuAm+rKUTPWS3XL0Y3IQ72WC0uxou2D3wNgE+qObZPWUPSj1pB8299xOqvbuCBb1zKgA9xvrUPRvHa72xGxg9Fba/vZguRz2nj0k9eXtrvYg/lT1Cxzy9keOFvb97Lb0ECdM9B+j8PRSDGzztYgy8IR6MO/fa5b1Nj9K9v3m/PcC3iL3WyoG9edXrvUUznz1ImKU9nM BpwPSg8yL3VQ5s97biYvWW/KTysjSS8STSSPdMaCz1mItQ9Xiu4PTlpSz0ZzKG8sK7svfnWhj22t7i87g+MvXzeGb5uPl6+5J+EPb+JYryZtpa7Y3ShOzJDHryls9S8pYxBPT+Anz1FRcY9KwJnPQk+Tz2HHwS+UxLsvLqPqr3TSzc9F6ZXPY2kqLy5bos9PIzBvXE98rwKuD87gpE0PEqZjbyPU4e9RqaAvS8wGDz2gKE9F4mBPW8Ayz13G3g91vLovI49x7wsgDO+HKxVPaR1qbyee9K9MVjjvf0nmj2eO4M9AsWZPIw6ar6cTWk9UsbAvfYyKL1tMUo9+TU3PQXdkDyMAgk+6U5GPVTRvD3z0RO9dOVMvgnKujwcRxS9pa1Ovb/3Sr4Uz1K+JGOfPRlwPTwIxei9FQaJPffklr2zvM+7rRcbPdgJuD3bUoc9ZUHGPe+80TyVSky997d9PBh5zb1PmLk9zg+TPb+FE7wv7eM8v3GJvZqL2zwDYTE9EBOPPIFoUM 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 TsHPSjv7zyFGBI9YzStPDAoHT3kTdy9iyqNvLY5+bysc4s9oiazPdEKCb1vrr89hNzgO29xhLwES7Y9Xr+wvC3POrwEfaK942CTvPu2m72mSJS8vZMlPcQx+7xDpwu8j5mQvDm+Nr06iTg9beaiPZvWbb1GD2K9zQh3vEKSIz5BRsu8dA62PZJf4ryKxUc7ve08vc8Y77w055u93QKzvJhBir2sBPW8rHuePdSTyLwHoM08wpRKvHLWKbx4WSy9sPQzvAVA37yJuYu91CR9Pb28TryUNv48VhOgPFiYOr2LepG91TYnvR9hDD0bAjK940i7vDS4gDyDHNG9eznEvBsNVL3eZQ49M5jvPY0oMT3F95E985kxPDjSBrxbP9a7iMMRvXeWFL3sZ768fCSNPRmxwDxxgRM8MJScPQ15ETw8drO9lPT5uzvhhD0DPIS9oSg4uo7l5TyWWYY9Hz/4vEU48z0ALuc8yOdvvcXPdr1I+Um7QZoOPWwxELzbPXE9h7MiveC7dM 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 D1mLWA9HsDkOerEgj048Uu9wRvTvXWDq7yvqkg9k0DgPYFhvjvqcrS744aXuxPzh73beG29gUifPeCmGr0aXci9NH4ZvspnZj0QNzE9pwmDPVrzK777P/g9VCLoveCuZL0SQQW9gZEyPXAbDz22C+M9OSLHPXhU0j0nu5u9NRLFvZAevz24HMi9mqrLvU0mM76yZA++2cS2PaNxAj390Wi9UqZHPAc3yL1hQqm9QIzAvBKRoz1KD+U99b9cPYE6pj1u9qu9WRunveZbzr12HZo95ED0PZ7E4L1IBoo8DAfOvdCeej0ruCS7K1LuvFFumD2iHRO9dWjYvKOqmr37Fgo9z+gbPpKWoj33Qxa90mbyPD8ny73ZHUa+eOupPRzCxr1d2QG95ZwJvkb4bT2N8Kk95I/aPLXaTb71kAA+dNHQvEUWe7tIVEO9uV3YPcKVXz0DgTo+l1S4Pasn6z2ncE+95eJOvp6xIz2YliI8pGYpvfRZUr7gZ3y+jPe2PVELBT32X/y97M 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 DC6vMQSEbxKxdY5J3k0vE45nbxeXDW9SKOaPSoBnrsVexU8DPR5OgfOpT0p2YW8RDhQPcVmrLwtD7u8vgxPvYirgrz31cm85kcPPQyRCb7P6fm88NQtPfakYT1YNIa8KRc7vYBZRz1L6pW9T4uWO3ty6b0oN1S9VcVKPQjOTL0DwiA9vJgUvT6vsTzGr5K9aQyEPZYSPzwGkw292N8ovaZXYrwapYq9Uwk/Pc6dUzySZKs77IKjPSNftbyyp+U9yReEPbi7nrxLzl49muFjPYsxS71afrw88da+vDf0jzzDTRG89KmdvCYs9Lz8Fa+8tz25PKk6nzvVa0G9r/CnOzbFB70nqFQ9Ea4cPeIMDT65t2A8/G6IvOFoa7yycEy9gQuLPT7pfj19vsI9913UvBiKh72KgqC8fngGvYyC6z1KTLU8BN6ZvSoEgb1qO9s79p/buE+5J7w3AEu9IgF6vM/BCL11PsU92Q8evfmkHj3Flts7rsPXPUNNar2NlUy93JYMvVj1FM 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 0KGvbzXIj2WRGa9G1QevXFpLLsxoD2+e4eZPQA6l72fPn49oA4Vu647B73axVS+ZWdSvcNj3jyrMSs9lpjAvAKLsz1PsOk9N0TCvQbWyb3NOm08QjTJve4CZr2Zul+92Gvdvew+RD6cKAe+eznRPf7sRT0yCOI9wOaju3nRb73Y8LQ9oys1PolSS73I1n49ug+XPeFqir2kdbu9Z0CpO0pGCr1Ax9Y8x64GvsCJZ75H6kc9T2TkvQAtoz03EhI93RWvPbKhrr22oiq9ejI3PcPW2z2cvgC+NKYvvR3zHz4nA1e93F9LOrEbiz3F8h+8vSObvCH2y7zqRYq+LpjkPTA2+71cmSk9HLP0PAvDOr3ivki+ERWJvSOa7z3rTSk+YAWCvc/gOz56BQ4+yIy2va7W871Kz9s8AzilvJkGzb1kTAC+URLvvUk3MT7gLTm+BwmZPUueGT15MpU9pWDrPP7GS70uDSy9cVZjPbesKb35rks90/ycPUcNgb2//8i9u0fVvHmqeM 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 uvaPTNPtzwfQSC9Ikf/vMxy7723hBq97/KUPUPINr0RAYI9ye8SPQ4R5DwFiKU9LiqMPLlJxLuRByO9xVa7Peb85j2v4iO8VaRXvdoBez3jRRq9KxQaPdslmT2dooE8mmBsvCo1uDtS9bY7XTZrPaTjvLyg7RY9uePsvImYXL1GWNS9+4ZovV+Vqj3Jyqk81yaAvXTG2r3/MGI85+k6vEHm7rxx0VU9snSovRqR6bw5sgE+iR/JvN2pMT16vaQ8DFigPbRiib3ec3692bSSvQbIT733HHU79tWpPKThmj2dKJo9BKEMPXDhEbtz74e9p5IcPW3H4Tym5Qs+CuKBPemRVj1ADgC8wkXjvdLlsr2dSvI9Oou3vaELgr2G8go92foOu2LPiD3+jwk+h4RvPaNZ6TzPDeU8R4X0PKAaqT1kr0k9fJ2mPU2GRz3LiCc9oNzGPUhCLL6AWma9y1/tPIwxDL4MFBG+2p8qPSY0VrtRFoc9989nPIBOsLvFb2w7+KvGO6nX0M Ty0SQ46DVqvvKS0AD51IZ08PLUAPYA0uD04cgq+qqnzvI/+OL2tkN+9f1+7vPIkSDx2mb+759oxPOeavb28yS090I9BPGFR3jlYqaW9hrblvdxX0zxclMI7AD2vvWP/Qb1rQ7c9FsLEPXqqwT1i42c+w6ANPUi+BbyTNrS8Dx8PPkdprT0No0q9LQ0gvRlvTTw2SwM9UTs7vYWqKr3WqQC83X/JvEkkBL2sddo8xZr0PXTtij0zVyE+BAxDPjBvTDxo1cy8BRk9vBBrlz2XN1I9Xfr8vPy1nrw9S826ZMAsPVkbHT2DgDC9uabgvC7Cmj0RuhS9qqUcvAJ1mT0JBi26oxT+Pc2KmT38kM08D3/VPMMVQ71amws+UOXavPRSPj0l9KE7Glr0vIr7qjtFG1y8RpAOvVW45j0MHxs+3jYnvL13UT3R9gW9IeYXvlR8Cr78Yyc+/v4hvRk1r71Fxbg6VmHbPNWDsj2JcwM9xmYlPTnUhL2rxPm96zFJPbEJYT0IugY+BM 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 8NEvtFWlr7laio9jxQwPftXG77tIoO9Gq8JvdCvOr1YDyy+JsAvPq9YBD5cOjw+bldrPllhdT7rmJa8eAmcvSW+h71qYfK9tcLlvTUD8r3PBlm+PoLWPbcYWru1g/K7coIuvWNKo73jK5o8sY7CvQXVDT48Xi8+JsQ/PY5C3z2i8zs+GGO0vKhCxDz+0hS9gyC5Oc73M76IefW8gfIAvQGxKbwz/qy9Hk5ZPbBturyKrlA7A+NHPua/nLw9ldA8fsHhPf0PqT1N6RI+ayFbPhry+Txxuto9+eb6vYdMTb6gRVC9hs2zva++572IAUu9Uc6HvGUSAr5zPBi+Oo7KvffyAL2aw4Q7zH6NPZQxgT6vdhU+S+r7PcZxyT1apBK+56enOy8nAb7r7u+9XFBevLyYRL3dvoi9gxeMva+/VbyxNHS9YPctvvmcXL1gGcA9x0nvOiBa5LkueGM+ULWmPUBSTz7JduI91FpPvjfTAT5poYq+mCIzO4cbZ70TnIM9p7Q9vIYwJM 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 tfivBh3zz2DfGO+YsJGvV5crD6SN/Y9KdY+vnlrYLwWG669lMMEvStmAL5raye9d7LBvbOe/b1BkFG+jlPrvRyxIz6xe6U9bLATvqevXTwYlzE9eg7+vfqKMr4HC2U+Iwj1PAmhNr3QV/O7wdnMvBuVgb3iYXu9WIRbvV5OvD2W4Ee9y1wPvjyprr1OElK7kUAAPK4Msrzw4gU+A3uHPWH86Du3muC9uxmHvbjambycPLi9jjiYvfDaXr4h6Tk+4J4rvmigz7xVZwk98rx0Pf3Fqr35QRa8vEaFPYKgkz0WYO69gcblPUghQT5zWWG9m8qSvXqdQT0oPZu93vrZvZP4rL0qg2q+htUiPmFGy73btMk9372NPK0s4rxNtwa+/mQBO3betD2rtS8+aMeTvUfszbrYPRo+lrAHvbl2gb0sXKg97JXcvdIzor26tIe93UANvindBD6FvPu9LRw3vmlG5j3hvUM9Pjp2PSqU5z0Dn0W+0Qs2vljSKj6dJpQ9IFl8van0WM 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 f/APaNTwzr/8c68gh7ovRDalzxhRwo9fkwpvdeD5bxFa489PgHgPNjxmD3/vok9eEVgPMgkbL1WSPI803/tvPj2dzydBBw+PTqUPSSFnD28RAK9cWDtPLmQOr4n9Dk9OY+cvMWXjz0nB6g8Wo32uWXrQz3CBuu9T2IWurc/sz3BCxk+FnLavLifGT6ygWE81pAwvrqxLr2/RYI9WZLrvXyHYb2ySY08EwqmvUkbLb2rxy8+YUASPjqBhL3opWc9EP+Gu/3XuDtkXJY8/WIgPnJbTj1w6Vk86PqrPCNMGb5NuT++0kDDOy7kC77yL1i+8djZPddLCL4ZMMU7mbV9PRLlyj1sQ6o8ZI3BPU1BKTzD45g8+2ihPSnn2T3JAVg9KwXVPGMmabzEPU++M5UKvuqVSTzcRQi9R+Spu9cktz2eB+u78RiZPW4zxzoWimW9M6eHPSWfyz1GDDs9mOcMvNu3BL40Whw9/f4HPVuFyrx+bnI8I9m8vOIRiD0124S84jzrvfi2nM 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 75uU1Y97J4XO1g6Qr3PdQO8smMJvWFIN73fpnY9nPJfPYtRFj6VG8E99qPuvZhJUD0HpBi986N7PbUkRL1ngQI9TpYoPQ/YFL034Tk7yhTrPK51T7vhq0690AOVvZHiPD0Ldu860VsfPecNLj0IgyM9V1RHOzPO5r2St2+91jkmvSBurDzSf9Q6yERJPFbmvb0oX1E9zkYxPYHNEz0tBC099tlqvIbpnL3XUuo8JkuRPeboPz7wbQw8nfvfOpkdKbylOA6+AudAvNYwfT18STU+wnkWO2FVpzs61ua8kmEOvhZftr2Rs8o96aRGvQ19p73eyLw9OHUHvnuxbD3PsiA+63vTPTr8N70xuic8Ip/OvZfYBT2FBjU9XdnyPQ3cjr1qpzY8QBqAvPDUBr5IXkm+2+4/Po+8Nz35h929gviCPXibrL2iXhm95lWFPYdx9z1or7S8fTx3vTuJ5r1TvEK9HBOpPblmLj7eoBy8ULQFPjPwe736U4G9KzYcvucawj000aU9fM 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 75NioM+jtc1PnMpiz2j+7A+Kh+NPUxzhr0DX76+DNOlPXTHWb4ZWx696LRrva2lnj3R0io+XTBLvi3iBj56KB0+d+QjPlDAo743iou+NICMPuqhYT6kQ589e6KQPue6Hz5DQwO+3fJdvkL1Fj5EXSO+jHUfvnk+jb1UL6s8FOBzPnJuXb75us09XhISPpJBTT0l6Dm+RfMmvgOGhz4pO0Y+34r8vAxW/j3dpgw+/+qsvS7Spr1qMWQ+N+tRvSVOSL4nJQW+XzJavSnvJT4I3G2+Y/62PdHZwD1RN5u8iD/Bvpo0tL7kmM8+/qpnPlJjgL0607Q+kQYpPpyVQL4mB6S+nVfjPVwmL747qaS9PTPmvMOGxTunJ78+IkWWvuc0Dj6i3hk+B3VUvZwdyL6S/aK+ivfjPn7asj47pXO9OvC/Pt9bKz4m4pG+2QRyvnppUj73yny+dxtyvm90wL2LJta6UBuoPv6fob5UF40+oSHlPUav7r2DlrO+hRxfvsemyz7loLY+CM 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 L3sr1e+ki6cPBJHkD3vTjG9DedvO/vpq72Ow7A9veNHvVDq/r1Sbcc9mYhFvN/ejj0jfiQ+rMPCPUKCHz57qwM+r2EgvkYfBz75a5y9IUbyvY8GmbuzzBK9q/YPvhB+HrvbLIO9ARKEPU2zwLx67Ty+QjrAPZPuZLyJ6BU9APEHPoxo2z3b5kk+AxMFPhTjEb5PKw0+9cQxPnExWD00bC+8n8bnvb3xt72gWr49kr5PPWE/Pb1YmO88bqQhPbZZGL4nCka8yqygPL7/mryMMp28cWs6vWucJr14Fz4+yn5WvsysGz5CKZU8ZTrxvDjiBL5wsiE9n6wEPrgMTj2TaY69gl+jvQMg5j1JSYu9yoPnPe90+zwBxGk9rvGTPKgJhb366+a8WONVPIqt871S1aw9lgutPJcoMr3JjCK+imCBvWU6kT11/Ck9F/hcvdubijyFbec7bkiQPDdLO7zSlyG7xTECPVqM8ryFUMs7j/X8vDHfhTwGzaa9USKjPZOdfj3wunu95M 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 j2zHDs7IFYMvJnm6b0UwNc8pBoGOkVRYTvjfJ89Znx3PabdcD3jH4m9k1HWPHqOUD2j8SU8yynduhzs+bwr9rc87Je8Pa2HV70lM0I9jFIHvepwGTzkloY8ir5avIM9Pb3+1vI8uMjUPZaUSD0nNqY9B9I/PSk8fj25mSC8XMQrPIbFgj2lBNu8eIr8vNA4Mr0hbSW9i2OmPMXZGj24mLs6wYXLvO4jer1nq5u9U8UGvZLoxD2u/KA9KsScPXItPr0SJys9TraJPTc0+j3i0dA82LyeO7Lbg7uD+Iy9dQWQvJbETT2OMcC8kVkhvXlDIjuz4oo8+U6LvYGph7yEb8s9wMOsPZRUqbvMnoO8KzldPaC0oj2dsjO9e4wyPenInjoY0549LA5SPVY0CL1dWZ49TXo5PR7R3Tw5i7Y9PEuoPW71bTwcsfC8yaKBvZNT77z787s9GFsqvaPqqb39Tac9+hO9vGwQQD0GxY89bROCPQkqZL2ruls7ycHLuqAyCz71ygQ8oM 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 5alvZkYMrx1s9O9s7SHvTarIDzgwmy9cuT4vGAo771I6HS8Tx4NPqkZczyVU/66Y9kRvVsp3DuGEIm92Ws9PMnHaz1tAZC8wprTPdWKZT1K5DS9WBGYPRKPdLtQthK+NPsFu3eD3zxIKnW8NUBtvcfTpjsY80c9lTOSvU0kHj3+r/e8y1/LOwW3ab0mxQS86iKmPYo2wD29n9Y9VwyavFYcgr1t2Ze8Mqn+vctRtD3N/dc8ra2EO+U4Pj3nBsM7v13QPI+jjr095Aa+mBw6PSVt2j22DQM9ry6NPM4vgr0qS0C784LyvIfqFr0BgJi7tas/vVrypb2J20C9+qa9O6uxTL1UONW9YBT+PV+zVb0OxrK9xNu1vSVi5zzzmfk7tiWIvW/0Jr2Ygnk96f/qPd1niT2+42w8zJ2NPe5OBD3KUs+9PSklvQXWED1NJ4W9uonhvSzdgT3gwBU9yXeDvZkKorxisik8cBlFvZgG/729pJ29QKuQPfXgkj2laLU9cLYLPW8u1M 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 r0tDwu+uJ+1vODoQ71ZOqQ8iYNKvaIA2L0uCYu8vgOhPdB/FD52N9Y8AFJQPgE16j0b6t495B5OvI5tx7qnT6I9POWAvWRqurzRyKm9o9z2vH5sFz2cdqM8Gu9bPGzp/71cgIE9cEXWPD0piLycA2I+zg2jPasYGDz8QKc9ABTAPTQKKL0plo08Nv95vHtfyT0VC5292u9Nva8dUjoKgte939TcO/6uJ7xvYsM9M6d4PDEcjD3QJTk8d6UXvlWkBb5OTaY9HE+Au938j73LWnY9vI6PvNJMsT34I+I9bZhjvY7Yq739b5k9u6hRPR0kyjwVELS9PeIJvetdoz3cxe29PphvPTVZib2S5ci977ZbPTVNNr1ZtvK9pmQWPW4PPr0MngA+SqAaPujqCT16uAy92TBIPTeRKj1MHt49YT71O25vJb0ddh49tJ6kPORL4L2/ZRK98JkuvrggBD01JP28dBmoPNCKbz0377A7O98hPLMgJL5rE0O+7kA2Pezzc70CHhG9EM 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 7Zmvft1A76stkE9n1IvPUHnNT1xxyU9kQzpOwm8nDyMrZc6/1dePc01Vj0qa6m8B7RmvQ1ooj0YnaI8eAM+PNfdm71ysTw898mWvIrN6rsjLLu9nTGYPeO6Y714lYo73h4ZPdJxDT7gYIm8qZeHPYWaOb1Pj+67UJ93vUFn3ruXG4e8qL+WvXHcrbz+fiw8gVOJveMYKb3KGDC9Q+invSRlfj0f8j68du0sPKxrij3re/S8D4HRusFLkj01HMQ94yHjPAOkNr1MAq09bzj7PMgJAD3If6E9KtYPPth4ob2Sdqm9+pxZPBLsfb1uzpk9YZtavYql1bxLbo89q1ZQvQVTjD3AUBc+F6vBPfHNr73D5388KDJQPQnsDj5aWGe9jPCrOyasdj0NZ5k6AcM6vZ56obwycdG8tfHjvMs7AL60Q6O90kaWPXfMsj1fM7w9NlpIPWmqDLx5X1q9jS+Vuq57dDii19I7j7AEPP9+fTzuSKk9fAYWvXcDfjyhOyc9MqtcvZaM8M 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 b1/ZOs83xIvPR07vb3A9Um9GbQNPmiQHj7qZ6w93+oXPDf5ubxjLRm+zJTkvQoEu7wRog29zyTWvfFDXLxnC2a9IMorvQGI67wTThQ97TQKPRecxDwWdwu81zOevYlXpz0kEsg8p3zzvG6gwT3Kv7W7lR/XOhz8Az1fUsg8RtHMPZC4Br2l7A298ZDbPAqSsDvy80o9CgsJPTrT+jyyG9w7RvcXvWvcdT110oo9dYv5PVhCnr27k3Q9HQq+O6NKaL2VqW+9cgLuOxapI71RqZ69xC+8umv6Hz2O7ls9rISVPYnEnD2Ewci8m0M3u+Z+AbxC6L29mG6hPVXVMT5TSXw7UvYePSqe97waGny9N0Ievpx2Ebz89pI8MLXwvTZrAL2N2SG8c+YYva0bZryXnk09iNK7PTcEnr2CD9+84o42vcWhyj3CB+U9FnmvvSddRD3yNvm9bDCHvbm0nb2bwIg9C96UPZpCTz2RGJ+7FU+lPd7BdL1X+1i9vZUxPcFz2D3mxiS9mM 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 bxy8bW9ll/kvI9jtb3Abwq+xzuqPWeTur0RB3s90eilPZTNKj2u7rk8k2YTPeGvRb3+PCm9rgd5veYD2jvwZNG6zGqSPRm4871oWwC96D9tvukxSb2UZQe9VA2QPCl7irwsTrA9Ti+WvVYR9b2/aE++s4LaO5C5qjxcTii+257xvfBMGb5Sa9e93m0Kva+Gtby1d0Q8gNYhPjGAwj3n6A49DAkePovFgz1ndmG8nUHyPSemzj36rJE9Hb9FvkLskT0dc9w9cG0EvHShi73rwiy+ww4svp0Fhz1JpWu+B0VDPiEiBz5CtYy8CgVmvt4W0bt0SgG+tNcLvYFjUj3RiMA91KgoPezBtjwhHAo+RbsDPlRgtb1KRUq9yeoHvVQBer03Rgw6CgxTPtoLt73ZT8S8xfPqvYdP1b2GaV29NJjhvLGGir3xiTQ+jIUPPj9H7jx1g+2+8rixPbL6pD6rc4a99vylvcPehb6WkX2+0r6APVOoGr7z5oY+1Fr9PZY6gD7Ggza+5M 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 b2B57s9NFOovaMiC71VXse8dU8AvvJQPL31I5+8NTF6OzedRD65R5c97NHpvYJgpbzgN+M9FWcxPawLrL2MQSu+X75OPN2StDyJARu+n60+PgPzSry91bC8mpPZvEMn0L2vYJ+9KACavLMJmL10XtA94Se1PP6PzD3XquY9rwSEPZDAaL1o/VW9P4tSvXmbTT1yaq28XH0DPizvG7zWCS+9F8KGPdy9M72l3aG9OFXnvFuu/ryO5Ho9pU+CvMzoJb5uswm+Je/MPbCfIr3ZrPW9g9NTvajX6b3bDdi9IGI1vBWE8LyQHKA99tt+PaF1Fj4wtiA+2i45PQJBBD6HPDu+UlKWPXK5GL0PSGa+mi89vW67ED7lcQa9Gd0WvSfRtb0ANQK+1Ze2Pd2O4L3Mmpa9akFcPfCu9z2uYew9KrwQPpkPbz1ME3w+eSwSvoxr8z2QY/M8mLoGvoY8UTzqSQg+NfChPRvANT2ym0G9fVupverOFb3+5+O9AuXbPddSCbzl8Rw+1M 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 UsHPRhYj72a+487MvlivCvGpz2x8oM834DIvTNdQL3IZ6o7ZGfQvJvu1b2FDxs9FTVPPdK1H72xv0q9LEuzPTnAED0Ocg09ncgmvSeTDz55jzg9ail5PBdoMD2GNKc9GUtnPd5yojziyI69mbmHu0aWnL3gMT49iW3JPATGCrq0FUk7OafzO/U6n7xmfQK9baoXPaxUm72fmaw9Ugw2vrqWPj7LUS8+GbgvPYYxQ71bzYW9JJjcvBpw1D3RWhw+o0O5vfCtCj74oie+2hJAvl8fVr6gszo+pE+hPXEmizz5P8s9bHdAO8TfGb6jCRg+p87PPYCWA7yzMNi91oakvZBQEr1TiuY9QRXXPWgbsrztc9E9vjmmva4F0b2KhTq+Tww0Pg2tdj0iGZU8dijBPWH4oz3ZkQG9BcggPmLWtz0h4xG9xrOlvDHsxTwOB1u82MipPOukxz1bZCS8M/X1OykufL3UqZq9jj2HvnxuLj3izDe9QCfXPGCK2T2CgWS8PSqTvPf6hM 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 T5TyJQ9BIeAPBgFGr0IQD+9nyZLvQfWkT08C5C9cQX6PVW5D75OZLC8kaBkvs9l670+pps6q0SevGIUVr3hArI93XHyvVqk3b0jJIG+D/8Vvsyver01vGc9sn5/PApenr47DI89gVdYvcTUrb2CGMa95EeTPeaEZz3J9829dFemPSzpvjxyQ8w9hKUzvUPpOD4pufU9ZRMoviBOdbyZ7a49pNAmPuWqtj1MaUa+VNsNPicpnz2R2I2+rL+nPQaymz3P5Ey+C/FEvvUqyL1MoO69izw/PcSyOL62lxy7qewQPaSrRT5E84E9FQ2gu64OAL3gCL88PIYbvT4WGD4DKZC92nPdPdp+FL5LMoi984sJvteBDb76M8S9G/IBvT4hRjpvw3o9KYmbvMYYsr1/opi+L8i8vQPzzz28iGg9VZm4PUw8i76Efv29ss39OuX2Rr4tF5c9lTNJPvuYFT5sWoK+xGzLvBYtYb20c1S9HSLivI+yhz7dJx4+1SMFvo4KZj3b9J0+PM 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 1ZwvUoHBb2NBFa7DIHeOcMLzzzD/ke9PNhfPRP/KL1Sa4y9Fn5FvVzuWj3aFmM9FkYfPXhSUT0g9+48Ce2oPRuYMb0vaIs9xludPf51RT32Da29LpVSPfZ28jxFUxU8/XyRvZSeCz3Blre8YS0KvgWEeL246DW8h3yHPNQJ7T0tPii9S32qvHuAYz3onYG9vbZZPSpKeT2BRrs8WpqrvL04u70zyjO9akicPU7m8bpPUd0950BkPM5aub0haqq9IjAkPIWSbD0AFbe8JeSFvPSoVD3yHjo9rIYJvi5h4z3Uaig9kFjIOiWTsLxpkYG8f1nUvLNFBz24bYG9T8jAPPYPibu1Z8q9Hl3xPOyxuD15Ixg9wdq+u1Zdubx7GKk8kyD1PHMlqr2O7c89fFJnPd7O8zz8Sqi9kYnevBfMiryeoxK9h63LO/VmSD07ijo99ycTvnjnZr20Npc82KiNPDJEiz28wy29RE3EvBS4kjwrBoy9tkcVPmbJjD3etLc9k79YvAewaM 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 rIHvDrBQ71rSAs+/7+Ivfp7ErsrBzW9lMwovchm9ztOt5I9pkuZPM96j71FXIa8gWwWvf0pWr0fBIi9OvchPU9cED2AHcM8PFLSPHMQmr3qXIk7iwgePuW2kz3g6RG9wd4yvfS+OD0I04Q6BgiQurvC2z1wIjQ7rCwnPQ8x5TumkU+9+s9PvdUPdbx2DMO8jtGGvXDVhjyBD068R+2RvX9u4T3Y9NA9U3/yvHquJb228KC9ZJxUvbfpLD50cxI+R5aAvQf7HT5W/hW+qB1MvrpTob0imBQ9BHCfPRrbQztkCbI9l6WdvAMyzr1dLsM9sNlKPaz9QTwooF+9t2OCveS8A72UEzg+r5KBPRkgAb6re689+kfivczry7320HS9MHuqPYnU0z2zVoQ9JKkxPXPaCL3GBR6902TsPdfQ1T2asBo8A64tvTcoOr1Y/4G9D0bgPZ/IQT3lmSi9UlSdPWaFm72Nbgq+FjqzvV3i5zyH2QI9L2M5u6cYwD1O1Fy801cBPOevnM 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 9iXPQQFa7xEHYO9sFyDPUcpj71RpbM9DbutPQxBhz1HkKq93TdZPaz6/r30oc08uqYaPC35yL1/kw4+Xy9LvQMMIr1IGIg7UUKgvYmiFb7T6FY9F2HZPE4+ur2SK508h68ZPfZfgb3Gw8C9F/MQPXxdD7x0+pA9PCvzPfKEvz0o0Zw9pFa7vcdCsr2KScy9+ZrzPWkgRry5zSW+arsGPU6TET32Tso9qCQTPTP8xbx12pc8NiaAvQOlg7uMrtS8pw2hPbxrDT5SdA8+On+FPd5QrL2fOC++Y6b2vXy4Tz6UYBq8KR7nvZe6hL0TlBc9R//XPbC5Vbreav87nZgbPshxO76HRSc9gkgIvZXjI7tqZ+k9H5THPbbqYz2qIg67Jmm6veSaLL7orrG9d7lpvsrcoL6HCvc8O7ECPjqgCb7zAcw8ZlyvPObRGL5rWmW+mfcPPmWNo73miSI9/ZgcPu00nz1OBxQ+JI8ivrHYj71yi0K+61D2Per4Xb4woH6+snyjPGN1TM 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 zzNuWE+pHKuvb1Fjb1QHRu980EmPkE2wr1WLaK+tDp/vYB/Hr4lETs7tAeqPhGU371me7Y9gjyxvrlQ4jr+jy2+/gICPvibmj2cOSw+u+5NPlE5/L0WIaM8C0+yvcWSSj7GiVy9GzpIvnHJ7TwfKQe7kr9CvY4lKD65uqC9mkbOPb2Wcb5RGyM+5YuiPX7q8TxYaNI8HjnDPVxUr7zf3As9bY9JPVhkRb1xYgm+3UUavkKmjL7t6CA9yJATvP8P772PkNI9FFSKvNpnf7zzdzS9TbsRvQGKiDuC/sC6jrdGPLGUwT1/7Rw+B6e1vcJb7bv1ZK69VwIBPqZOV74dMo6+LdvMPWh0Sr2vd5a9v85kPuNimzwepJ68OhRnvhpxmz3ovgy+Wr88OtbYxb174qg9WphAPnTOKr7kvNM9sWWevAQbFz726I+9uS9Ovuzfhj2Uv0E9nR+TvYR4Iz63zXa9Y2+LPayTir5RS+Q9nSsVPZG/Rr3bCEc9xK5ZPPwC87yAbm+9HM 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 D2nooA9mnmNvB8Jnz2EpA++t/7/vNLerL1Nc7U9tlISPQUxRD1UlLE9lSP8vbWI/L0OLCk+wwoHPr1ME74enQy+FH8IvUfzUD2W4Jw9MpEnPv8Mnjzg6nk9+ggxvjwe771RvB++YGDcPbnmFL0kAJq9fcPUPZeBzb0RcyI8VMEAPlALAz7gH/y9+jcQvu4sOz3kA3c7uNIjPZzaZj7r0z676ouNPAKNg70LSve93J6mvit8Jz2ofMI8+xF8veS/yz0sBiW+2JQTOpRlOb3GBI+7KXN9OzDe172v2BQ9QuW8PUqZ4Tj4w3W943OMPeE+g72XYYq95CWePZ9LWD0rgLw8oP7ZPDfpTj2bycQ80GOGveGvXbwsqCo8KYU4PbDo7L0uT3G9ypCgPen6zT10iLC7dwxfvD226TzvWbi8yfRAOvNrTD0OkiO8dhO+PF+M17xqcXw8e9T4PFn9OL2Snlw9P+eRPcMMGbxdf6O9EG/8vZdpHD1dMEI9d2ioPIBArT2AXF49NM 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 r7lHZi99GICPWDTzjyzdpM9cpkAPa1Vkb0wnms9dw2HvY4vR72Gb5W97AXwO3QZCz1ivL48lScvPtK7Hr4qvF479ikTPjHqlT2UlwO+X0SQvVD1Wj1Pjls9zLKAOzNcvz3IDz68fxMbO3ZluL0m3LG9LWaVvVFq+bzyJXK8u4KNvRrR5z0RYdi9/3kiviqJyz2tssI91NsHvnCvGb5MPP68VoWMvK6UKT5ceNg9R3fQvGe6Bj7SWCq+qe0nvnwGML5iGLI97D3xPHtqXD0w8Lo9VTqXvbPo4L0ifdQ9GUSEPd6IGr4eXJ+9zt98vdMrv7xGiHs9f4aoPKMci70Yhs89I04EvvhLi70EIHW9O1tLPaGPXT0kFIE9BkA1Ph3hC71STdK807RFPssNtj3p04a9b0q/vXBnpTxG5XY9eyHJPG230D3zRyS9SyaUPCEAtb0RrPC9H4OvvfjZGTzP23S9OeDWvIjCGD5G7BC+MSQuve1M9z1+eLU9ASx5vY0CCL1lkrm9YM 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 woJPZvRKD16nDK6VOAmvfxlcr3KLFG9sFXgvDVm7r3rZJS7GSMevTHeETySg6m8TDe+PZD6kD21dD4+Jv5OvS8z3z0hU8M8FpScvdXzIj4kAIc9pwTFPOs7grxCPZ+9oTkBPGvjQz1FJQG9tDoRPliK372kQYa8h9hBu8ipFTyM3748YdwJPsybjb1g33c9IyfEPb15FT6LU/+92oq9PU3bCT7rDa89HMPYPchmzL2UVyo9HcbePZ9esL09NrE9lnnBveDRcbwMNRS+cP0Gvs7MkLsJl0G5Ec4IvZLaqD31RhQ8yNN0vVrQ9z3RpNY806H6PAJARTwK8sa9DS1UvfBpmTyXhDm9p0HEPdO01L0xJ1m9x3tgvCrWRr0k4kM8LrUxva+R7zyUp4I9Czo+Pd/zIj18+Bs9BpQCPv92jD1tLZs9PnNYvdkUnjwjRAs8CIAHPBC6I73Zg6a9R1JavJWBiL0V6ze8yOUHvYkHCb1WfwU9ncu2PSrzFz4mWHu9irIePRHGsM 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 71i6J49Mbz7vY4yET4bSbM8TMrzPca08byxPho+GgsiPqb6O71KkeU6vM+pPULO171AF7I79BupPCaXOT5rHti94yEgPqoTQrscmSW9I5EBPdy35L2DzC4+kUePPVDVND0aVyC9+TrVPZL9Iz7S9gW9WAY/vPtQJr1aN4S9Ts6HPSr2Pb0QDR4+Fpm0vTnKOj1CUni8h5b7PJD6zz3/Iw89IdQRPUExfT2F03U87MHLPLxxJT6aCVo+rGGdvScujbtJ00K957MWviorbj3LCNu9wulYPq6e6b1EPcc9lH+APYWZJruFUc89draDvH2Pqz1pWUK9/kafPf+R9j2Czbs9UYyFPZmyxr32qyi9Y2+NPBXWW72r6509uChpPUiK+z2Bvj29EEaRPbEAiz0bZxQ94l6CPYQKGL3WhbU9cqvKParYMrzzwuK8b3bEPfcpNjx8eIo8gpPWPH8d473pRlu88zrQPYe++L1MSTg+Ou3UvUBOhjirc/o7N2OEvI6CzDwNj4I9MM XViPTXSdj0wn8W7OqA6PZP99j3WqsI97OQxPIDDgbuZMoq9+fI7vbOnAz1I59q9DwDrPQgT4720l5k8GkFfO9X5n70CTJw9v/1fPV9wMD08O4G9KdxpPWDrlT3so9g9mSahPYCzh7wDqpy9XpkXvRBcq73xM2Q8hVOOPd2QiT0sx6e9+WIePSqFnrqCSJu895NAPKzmJLwEn+Y9FUuzPNhJdb3GMos8KMHrPfKrHrkM5lm7d2u0u5kCs71AKVg7/Bw2PYyuxbqrjQk+ntOYvI0SNj0oU1A8jVO4PD+5g7wh19W80IWIPFI04j3gSG+9k5+Wu5A7gj3e6HM9Q9GCPG1AJLxLBBW+Ud+AvaPP3jx46ie+Qvo+Pm7CdT2Hb7M9730rPfi6kL3lW5E9ukSwvIj8vD29eI28tN5CvMK3Lz4nldw9AxH6Oo3GlDzd6486eEH3vDWxuL3RYl49rVi+PXZkHD3znea8roCKPBUrFLvKEyI9cWrTPFwOjb1VR149dFGZPT8HjM 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 qwLPuiLETs3XI47SknSvaLPB73eYBE9/I2CPaSxGD6xSr+9wNBaPf6eBz2xw6K90TwOPV8v6b1TR7s9ugC9PYUm7D3bu1G9J2DCPYUZ8zyXYLw8PMdNvMDcJb2AX0Y9bW5FvaUAzbsMFqw9xVqpveiYNjxuR6+7lAyCvS3hujryXWK9V4njPGuDlj34dTC9jzBxvW/mTD6oKBw+OmjevLbPzL3kn/y8M7gJvbeXGL0ea4q9kzvuPTAOHb0yo/U6O2EQvI88dLxejAk+n9s0vs/yzz1vV8Y9afJCPclA4bwtV/89UMfrPdqN67yAiqG9VTR1vQyxmL2/zck8fJ58vL5U8D1hpsY8hxwIPWttyDwldb+8BUKmOsUG9b2JQhk+ZmlEPXu/bz65Sb89nIB6PHzRKr3niiy9nU+fvclAPj1c4xE+zIRxPCDKED53zIG9FGaGvriC7L2VNAM9yJ0VvemSM7oWUTY9cpyJPR12yzwuUsQ9gYogvWZupj0S4848TPOlvVS8+M 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 JEGva2Q+juMWrY9CxeXPYT3Kb2hLc88EaF/vLv6Oj4M/bc9jNISvRHGyz3TioS9qzP7vZaxCb5Z6Aw87i0pPcwDaLyyKgg7U+stPVOb8r0C9i0+WJKWPSJWDb11Qtg88m7MvGtECb39Aw0+pXGRPfwuqjtWvxE+XUGAvaWQa777byW+PJxbPf4Y2rwPkV69u4SXPctsjLxx2LW9S4oyPut5HT7bJBg89JonPWQctr1/HZa9wYYKPi4RFD5BsEO8utNbPTYte71Xk5O+RQydvjOwuD3yKIO9ua6mvRjsrD2I4sC8zP6gvVIrAj0MD0Y8EqPfvNmO1L2z4d89YsIHPe2R1z1PWco97FADPadngD23RG69uIrFPCZp3r1peIC9t9eLPIqp7TwL8sQ9yjjPvc1+frwS3oU9cTPgPQZh+r1mk228/OGZPWMM6D2gmnc810n6PaX8O7z+CJW8CPUZvQfxaroxkxq9otovPGD4Lbwvud68VDEzPkfssb0rfuw8o1rwPQxbfM 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 ryD51+9/1pNPSABgj2vci+9Rx5/vY5OuD3nEpk9LR8OPubfE76xih0+Op50vTmGBj3CRZA95UUPPSEVh72ohte9sWzHvPUTRz6nvik+k4ggvlYv/D1PUvy96z0Dvktq2r2BrMA9itK4PSkuxT0R8Ts94gwAPsXk573+s6s9eoHvvJBV6D2tFlG7V98zvkpZ7rwgzYs9LLwgOyCkIr4YGaw9rVp6vPVmtL2KE/W9pvWzPSTxQT0a4Wk9kyPouhW+CD7PYUk5s0qUPcFxCTzpXoq8Tv7DvGU0DL7we/W99obWOhol1TtIETG9d3+lPHJBdL0gdby95g8JvlJ5xz1Nhsg8PAdEPY5hUb3LSlA97nL/u9ui0zw7kgQ+VekCvDMIFbzU26W9RBuPPKURCj5bsSU9yogovSdLIT7Em9q9xn3RvTHzqL1+s4Y9u5eTPTe9cD1aHoc9hSKjPDbNWr1fVRQ+TvimPZhgt7wNfnC9XrcWvavP4btTvdE98cDbPHycxL1BSo492M 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 bvtCpO9Mdpdvdu5XbxxAgS9VXBgvHawmbpXFFo+css4vT1whr2ow7+8lQ/sO3uU4T1n3sC8BrsVvC2tKj3VA0C96iY6vKReRb06spm9Ez9Zva+k271BvEu9sjhqPRLWSL0qsWo8DKkAPlNx6rvoD629BvojvcAiaDwbSl49uZkQve/RgT3+l889QUcQPeq4Q70Mh6C9mVIGvjOeGL1NO5S8JmrvvPtbHD3Pv6W9OgdbPa+lqLlmU3W9vsY7PbVre7ofI/87OdNoPCSqCT2xdiG9K5AhPbjrgDxbL3288RqpPShi9jq5vUy7V9Xru2Cwgb1ZBK+9cbHlPCX/HLw1JsU9kquovfZgYbxTmMI9kg7lvHrCvj0VFly9MnjFvZHTBbwRn4e8tjVuPRXiEj28XSk8qKXiOxc5vL2yhI+9O69vvW2P+rx9RuK85jj/PcXKSjv/Zly9IWmIPXSI6zsyGNQ8JVaAvey4QrzFtKc9XGERO69KjD3V3ZU7VFaMvWs3ozrD+dS8RM 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 D1Hxdc8+/KEPMNrvL3rc1m9NdCsPGj4zzuC5go87VVCvGbBpL3MOki8yI/MuxSAvz0hDj07bxNJvOlj4LxQhl+9S5v4vFvHr71OeAa9JxasPeffjr195X+9w1bZPJr0FbxTxRk71GEYPcG9hrx6i6u9T4gCvUt/N71cjKQ92f7bPTKQFT17iPs8PP/NvIR0nDxnTOa915pnPQUHiT3G0LW87NjnvRV8Ybx9WLo91J9LvIFOQjxByEm9vzH9veZCvby8FVG9NQuJPZl80z2yY+c8YviNPBaYUbxs8bO9m/XLvSOAiTzYnJ49RAmxuMSDl72g/3S9LNWUPWjFnzzE77y8DT6ZvVNErb0ycd85q8XavYt0jT2/MpS8G+a1u2OFU7wWvbM7daatvMlsZL1GsCM9jqBqvf8SXj3s0hg9DjB1PdgHPL0hB/w8mgZlux820z0q8iI9qNPVu+cgaz21DZm9y42wvfFuoL1qFzi70W/ou7qPZLsvjZO8/tJQvfkgjDxk6Ag+2M 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 71NOxy7LKIeva1CRj0PVJS8gK++PRG4Cz38yCK9SE3aPdh1lz1PFas9ewvjPHZg77zEvp+96Q4uPY1MWb23ALs9L9kTPdXHrjzIPYi9D5dzvKBbgr2nu4e9vy04PaABhT133UA+3We1vZ14YL2TMYk9OWN5PR4qBz4zFB+96raSvSRB3byn5XK9r5EHPihzgb2veVg9tPKvvJ6M7b3/neW9jSKDPCh3yLyBbnQ9dxEbPvDkm7yoUwa98eBtPRBMqLznAES8sreNvZ5wjDyUty09Lon4vG81Lj3IaUW99llbvLshXr3vr+E8NEpkvR7EcjyGXda925aPPRr7Dz1zn8K5p13IPFoSibvIKho9q4ytPbEBxDzy7U88C2VZPRFgF71+fKy8MiSJPMYsgz0zIAS9+zIuPS7ymb2rhAQ9PfjUveu6pT1QLR4+aU/JPAuemL1Ijmy9zawiPF5Fsj3jxsE8cJWxvI4pOr0POFW9U4qoux27u7zKFhq9zLc/vfAXpr2ScFm9YM RrnPTIMir27tIE8HucYPshbRD0UdIa9Qs4hvfzA9LzwGoS8368KPXtmIj6WV5s9lsfpPDBvEj2a2qS9aG3qvWvBDb13GJK9Pv6PvQgEhz092Q2+hx8gvQcN9j1PTyU9v3EcO5Bko72GhoA94hWKPMZc7T0dgPo8wbAkPc3ouz3zUOG9oDaPvDxuPrwV7Ei87omhPb1q0L3LR5o8XiGQu+CkjD3YEz8+/IZfPUTW/70/2je9tyYSPJAhRj2y3Qw9x4HIPXqKpbzTmzO9DRmUvXa9Ar7tb4q9rloBvctkpL3ZcAy+e8rVPY6bnL14dPg72LKFPqDfvj0GPSe+0fbJvKrWqDsJWcE8XCVTPQ9OBz7s4/Q9m92gPavwdL18hRm+7WQkvsL5LL1EubW9MZjDva6j0j2Ell6+FJN4vZvn3D3UOAw+Llg6Pc2q8L2J/ba8eywHvfk72T3piI893R8HvbGloj03PPC9vxsJvkh5tL3PTzY936W7PHBqg72cKWY989EsvKoRnM 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 OOqPffMOz3ELxQ+FMpCveIntDyeOZo908sJPbJv2T0l9CW95EAKvoivhj17VeK9g3qaPQZcvj2ERZY8BDzVveP1Ir4PxMG90U7QvXPKkz1aBh49kPi0PYHQA73JJww9iK74PbJKOT2UBqI8cm95vcz2FL5pxdE9PeJjvYiM8j3jDbE9TGwhvBIctLzAAry9pRaRveacEr7mBLi8MB2EPe9/Jr07Xre8uH2OPSHQ7jwPq7A9VP54vEPNMD3B9dW9JI3CO5R1uLzBmzu8MAvIPX9YFz3Im4m95dh4PHLGrzuw9hC+X+MHPexS1DylaFw9qmXFvQ+lPb3pztg92jIkvL8nZT36fu07+WHUvSAD8rzU2pG9Js5hPU10jDynOHA9f9OjvafWIb1RkuW8/Vrlvea1nD2Ftx09e6+HPR1nFr3bhQW9GwjVPanUVj18JQ+9Cz+RvSZMqb1s8ns8fogkvXE+6j0Hei09ojWGvWr8xbxVD5m9AuQEvRIsJr76SSg9OQpGPOhR7M 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 IuUPaMNLT1bq9O99RguPbZvpj2RfXs9eWVDPMfVcjyMIL69EVrAPRK2tL2Tibk9beACPbJm0j2IoGm9hLQ2vAsmtb2mN1i9hKi5PCeDCz43Atw9AuKDvQhGk72cTYY9+NE2PfYCzz2gQuG9RBDkvRj4KT1UXxm+vnMXPnaZbTv1PJM9ZLq0vd4DML6aFeO9gJ5iPZGGDzybi9U8QW4YPs7a4b3GbWS9reSSPVtADD0bb+G8Gj4MvWTLuryj2wM+jSmQvR3DDj5PzX+8YKZ+PXOOer2oSA299ufyvcIrDTzTKhO+3VPgPeS/ljxk/pu9QO6UPTcjoj1/+LQ9E8jFPUrYXDqUh4u8sgXdPY3+IrzxQAg9BnQsPfINAT1C89y9lnr2PIn2ur30fpk7awToPKu6vj0GkRo+WCHqvFcI5b0j/+s8pGFCPRP39T2wtaq93Ev5vEdkajyqj/u9u7vPPRf1Ib3nsTw9U+TIvWTcR76Mw9y9fFWmvLpqEDwgLkw9Y4FgPu4GIM 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 NtSvQqgCjueyzm+IqdtvgEHNbzjjx6+mKsFvhjZ4D1HMhO+sy2vPG4WYD3e34M9XUxnPWZfv7zwVGM9iEaIPc0V9T3kLIi9ebzHPRn167upvJ69fMN3PHbkiz0w95a9F7d9vcORvb1s05i9WwRdvdLpgT2WyzE+0OBnOq/Kp70FSWQ8UM8uPV80uj0wVRe8q2rKuz77BT1Q0Xa9GWaAvA7tJr0OIzW9VPzWvKpfJr6c3My9HnUxPJIPur34TT89syt8Pv21GD3izRG+3tPyu7FksTz1oaA98BkePGgolT3OA609N8d6vfikNz1XGIe9WVYcvrEnE70165a9X26HvaSrqT0coAy+8quKPdY1YjqGXZg96bhsPdoJ5rz2Ivk8vXjAPI125j3hqd67/hHdPXIgPDzdBoy9+to6PRwm1LzW2vC8IadGvPi1fb3u3nm8JBMBvDx1Bj2avDM+v/RovcJ/mL12V0O9W86iPfvV3D2CshO9RbcvvfBkoT2mn3a9YDNdvdy9UM 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 r3A5mi9laX6PTB7lj0oQ3i9L3zTPaDfqD2EbeU8yA8ZPHA8pT0k8rO9pEcFPaOdX72GMR09cr2tPdwA0TxjMrG9zoC9vFLBv71HMca9BTxIPUTZlT2W7wQ+Hvq0vZJ3Ozw5CSU+d7XnPA80JD6xBZo6AXbDvRudbD0PUpm9vP2qPQnVGj33KEM9mH4fvkQ6LL50LLO9+tZrveXB3D1aGkc96empPcwABL2FRy69D3q+PC8EGD3aPuU8BatIvV6Ynbwjetw9O0gNvGargjykIr28Xpp3vTfRWL3BOgm93uIuve5f4r1odGU7JKuEPaQrdT2jagi+LKZaPeFU7D0wmrA9KMMHPW3r9j0Zihi+lBtOPdNMrTs65+w7HK5yParbjz0JWQK9mKZRvL3TabyeVvS9tEXcPaqyrT3bkQs+Rq8NvuwxOLqxD8892Yg9O5towz1tgug7jnQYvngVwjvIiaq91ISiPVgoQD1+sJI941WlvVzM9r1IQ9q8tOhivXZGyT3ieUc99M 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 XKUvaQMWz2n6nG9LY3svQIKxj22FvI9OqWxPdUMCb1JAeA7y/vbO4a0HD4s0xI+mtOqPF/fGz7JBte9JPtdvqJ6A76XVQo+k5g6PclGdb1ZV0A9dO/VPEYas7yHsQo+hibmPd3PJ70vM/48EXx6vVIihrzENPA9xjT1PZMQp70PJgI+79+zvX3jRb7uyhC+jgH/PKHXpL2BDZi8cSelPRFKij1ZL/S9rLpsPjDGlT2tP++8sh0FPVb3Ar2Vklm9ZxawPeOsGz5xmpE8+kj1Pb6SA70xmXq+XKYvvqBoST1W/zm96+LFvRqa+T0exlO9VlTSPL370D0Gp9k84XY8PakVwTzdSD096oJrvGyrrjofXC096lQGvPNnfT3BSGC8ZNu+vRndLb17REM9pQdtPQIxhL0U5NG8g6a8u64HnzrvAc49bXd1PaMfprzFG/y7d3yzPNkNoT0WR5S8V76oPLd48TsafNi77RyPvVUwDb59x4W9qrWkuguX8b2BJga9e6xmPdDXIM 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 psxPUIxuz09Jsc9Qb7kPOzIYDyEqhK9v+t1PYQPjry8xfE8jPcsvMDHlT3gC7e9mY8ivQSfgzwm7fa9j1A5PSWLUT3F4Qw+XB5+vbs5QzwuPds8jLBgPTOU8D0V2hC9ig3PvQ47UT13V4q7KTNwPcoPUz1r2528coIZvmJPrb2JwzO6K9lvvZEr2z29igg8uzXDPJlgkDtacOu7j6J3PTX+nTyhAVk9hMBAPHUtK71LM4A93mlFvNIUPT26PCU9p1rcvcDPeLwXuVG9/fBuPO11db2FjBq9QMUvPW/siz3n+Uu7gme1PR5QhDxeu3o9edRAPRMFoj0R2hO96pyQOSdAFT2ob2O9IKm4vKxa/7tAWnm8htqYvYuJNb0ZyIC9AGiLPQx3BL1uXgI+88/bPLF/wjonB1s9tzfiPGahmj3WYcY9P5+8vJVK2Lu/iBU9LXAHPUEtEb2ZO5O9wv7/va8kq72KpQG9ZV56PPqdAz3ltB+9+D0MPqnjj7yBGhC9mIPpPEsnnM LyS0Im8dQiHPQjeX7wlwK89mwVmvDCwrTxH8vu9Hw+4vVqdp7xZa2S6p59qveFEL712UPs7DyXSvO3qsT3FHwY+umbuPIffgD21ZAc8xQk0PdFXND4NSaU9UGxHPWlnGT0yXqC9VOzMvbDAyr1s/HE7VhzJvbvd1b2ta2A8mduevASQobuOFC8+ZjZ8PZKKxjzh5ck9AM24Opd+AT3Ig849i4GevF5qNr0FXMg82QtXvTCL473JfCG+oNCUuwJb6L3eIEe9PcGbvGnAxz3GSoy83RE/PgErij2wZX07QpPRPQotVLskyhm9hAyqPOrF4Dzp/vA78ybNu8+TrLzGuya+VxcivpeGIT2Fk4e9JZW5vR7Yx7wbk2q8/S2NPcEAAT4xNSc9i8S0PRZymz33pp49ZyJgvHh/Xj1S3kQ9D2S7PZq5HT16GjU6w6QUPAwbgr1C72a8IXUtvRg1i718SlG9FCGSO9tjdz0btPc9CbIMPenTiT3HBw8+PKQ3vSuidD07zv+7eM 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 D5uiRW/xtYKvQrjwr64XEC/BGwJv4Vnijy0fqa/NeD7PvbziL/vxcY/tdcuPjZXMz/+fu++zNNzvtN59j78eGA/EosePyp6yT5kCzY/em9qv0YhPD8b96A8jCiXPvWGmD18xHS/IwwPP5LQTz8G83g/1JiEPhYL5b1uGx4/9Ul7v36PLT+Hjhw/e91Bv0e1Mr/OLps/mXhlv+O6Lj+/9YA//u4VP9cOJT++ebu+Sg6Kv2ofIj8g7j0/gkGCP9orZb5obSe/UodAPwMeOr8Q1iE/vdQ5P/2Kgr+U5ZS+zmMVPxQ4r7+0KQc/j7NWP2siNz95eM0+LIyNvhEmLz8y6Yc+ZAjzvjgRnb7XjGA9hc6dvTj8Qr/cDTI/DZpiv7Jo9z0sR2K/bYIQP24I1b5AxKc+vutQPrfROr+SonW/fR1YPxsJq77g3c69UMwAP9YVmj78jGs/IUjxvqFqBL8RX4y+raAKP+4uPr9Yxc0+Q4tav9hekz5Oh+e+6dgQv5Lj0D4DQey9HM 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 z9wfu8+8TUWPwim/L7sG0U9gzsJv1sz075yQV6/vQ9MPxQpw74HEy6/ZRXbvriArz6qqgq/pijJPhHmAj7vdKq+O645v5T9A75SHHY/YGAcPs/oKj+xnry+RayePfJvMb+oTci71SVLv1/hFD8SJT++9rQ2v3nzAj6IsAO/FKU3v0a2fT4Df+K+8h7Tviv86L4F7re9dqCMP9atWz5G67s+HrVQv/MwWr5azQ+/T1m4PZmVUr9K2is/uOsdvCsjmr+5hzY+Ug2ivk66RL91HOK+ZnwLPnJqRL9hC8K+iTH4PnaKBb+NYp69ZQ4HPwteWT7XrSE/Ck9svwrPN788eMA8xA+HPCry7b6THVM+GHkuv+Ohyz5BxmY+dLZqvyv4dT9ioZW+2AC9Po1Jdb8Z+TU/g+gFPws8EL9eJUq/QU0gv09KGz+J44o/Jbx5viTYCT/qxli+z3cZv3z8lj+HB5o+b8ICvwKElD+1aZS/JAgxv9UPFL/A55k+8d53Pldnd76khxk+8M 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 aWuP5sGJT8N3GQ/poaZPqWYjL+/1I+/YcVEv+1lCT8M7Bg+5UDuPny/hD+CE2O/3wwVv9Ym/j7Bhxw/Wravv9NkAT8oga6+tLonv1SjlD9xU90+HJ7ovnwqOb8w55C/kHbAPw6blj9rBzm/Lbt9Pw3KlL+l+HW/JlkNv8/Agr9oHk4/HnpKv/goBr58ibQ/lHRIv1d8j76XXYU/Dot+v9jiS7+v2h6/M7SrPybQir+N8bK+9VWkv1/nnb6UDxg/GuwxP1ozoD8PhV+/be89vBdnID8+Lr8/5QCevxkeTj8RbmO/WtqkvLHzkj70pxu++gFovg==", "training_traits": {"structure_gen": "Triangle", "n_layers": 3, "max_nodes": 19, "activation_func": "Sigmoid", "epoch_num": 9}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "NouM ns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)M }updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/6M 0,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,M inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(tM his.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.M c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,M t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(leM t t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||maxM (o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStrokeM (),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.59M 9,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,M 137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.M bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2M ,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVeM rtex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1M ,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,4M 69.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,M 110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(3M 95,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,4M 73.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.49M 9,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5M ,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,M 120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,5M 2.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4M ,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezM ierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertexM (304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256M .8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75M .4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348M .5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertexM (337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,3M 05.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),M e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5M ,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899M ,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezieM rVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(1M 33.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.4M 99,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7M ,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.M bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezM ierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),eM .vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,M 361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,3M 23.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;+M +i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.M m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_M op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static addM =(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return eM .map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSM eed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLM ife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){constM n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=rM .pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.eltM .offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,heM ight:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=oM [i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))M return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.vM alue}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.vaM lue=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change"M ,n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:M "",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.M name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audM io)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="381";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,OM e,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(M e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),M Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EBM 8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff",M "#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{iM f(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>M {const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=M !1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt|M |saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+M 35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt)M ,Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.sM tage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.M visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let M n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,M r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mtM ,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([M t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirM thCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1M );Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++M )0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(keM ),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyM le(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rectM (width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.M strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,rM ,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beM ginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,M .75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",widthM /2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ")M .length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-27M 5*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait untilM ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,hM =[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.lenM gth;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]M +a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",widM th/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()]M ,["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}funM ction or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-5M 3*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAM D",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(M t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){returM n mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,tM ,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT coM llections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition abilitM y almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, thM is is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zM n=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGEM NET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);rM eturn{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hM ardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b489e54eb33a22e","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":1700}' crossorigin="anonymous"></script> 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_72", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.0078M 4313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 16, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 13, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "m/RoPCbQOjw+/r67YUlKPbvmEL2/UUY7QqIYPeX+zD0WKve7rt21veeVTj0rrTi9AQOXPY8f5Ly3YKQ8dAaHPDSWfjx+75+8Wce+vTBB8bvs0VW8AVIvPeOjwT3jxzM9wzV4PcJUO7v+dpo9PNTWvJj+Qb0UM 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 u7k1Lj3+K528uIDZuyBzoj3c3rW8enJOPJ97tjzN6Qi9HhGXPSHBZLw6EVG8qdidvbvivzxiki293aAnvX2Mw7z6qFE5DGhQPZiBQzwcnp09LUXHPaY5AL1CBWe6mPeOvN/uJ72p9WQ9wGDzu3V/0LyD2Kq86gzqvL+FZTySWdu8ygFqPenPdb3Z6wu6hz5aPURe971+swE7VtpuvXXPdz2TotU8B9KZvWZZCz0fFQi9MqBrvcz+CrwnokI8rdymvCuQF7230G49NcAsPVqMpj3+KUo8ITkwvE5oh7zfflq9bHF7PRgcMjxWiJk5D2WCvRoUIL0ub269rIVYvdJuRL3pIoo8f2qwPZQzDTyVSMk960i4PZbILryDBSO7X5NzPX2Ru7zAxQ69suX6vOD0pTwqQ2C8Ux2Ivd21EL0FgEA674wKPWqBTD2SQm09tAcAPe8Ia72OLm681CQEvDC1nDzclaE8MHaivTLd47zPaSc9GJkGvOdNJ72Bso+9WoJPPbCB0TzGM 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 hgo8I1BePcQapTzbP5c7eesYvHkVir1om0689mQ4PShpBj0d2Lw7jMH/vDaqCbxW8D68a5XavH2QrjyZlD+7EV9LPQN8U70b1qs8TaS4va8oLrynpKy8BBCCveujmTz0dbc81RRWvHRV4jlc6+O89z4IvDOGXj1JsCu8nliLPHP5Jz27yyW9UqatPTAkODyJPRy9XZw4PcJHuboeCc07EfIavQVfGj2rHEW90dSMvY3qlL18zWG8ZGPJOyZcQz0Wmac9ZieiPHY2tLyzbps8dUR3PEc6yr3KNMY6fHF8Pc45i7zok189FbtdvBhpejpV+Sy9BiyPvKsmBr1pjdM8c4bGvL8+lL2gHYy7+J1vvQ72iDyEmYG6cvJXvTu9jbyCjyQ9UzvFPAhqqrkpHKu8iujuPKk/obxRaHQ7jjCPPVdGBT2T4gm9tfFFPY3cx7yis4m9l7LTPEQjxryMyli9+mKkuQrgYr1TUmi9NZ6MvQae2L154Eo9Nj0YOjMJTT07/mc9yTmwM 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 q3e8hLnqPKnle73raHS7n6+Uvdw8wjw3ngm8syDRu3i4Ib3Pl8I4sgjnvK+lND1E/ac9lfgsPVEVvr2V+YK9acDjO+DmHD26Vjy9WlxjvWegGL2+vQw8zU5cvfJWcjzn9hW9hau0PbcaL7upK5c89BAHPXKKpD0uP8M69GgCvRJ5pDvKqSa92QKxPZEA2ju4Uxe81gN8vfO5Fb1tuWq9XrnGvISQPb0X16m8Ut+VPHHMij3GvJc95PcjPS5U0Lxys4C8c9+/PK3Z0r203Wm8TbA9vW1Hr7u+4kw9W8afvd8HxL0M8gE8oLGfvEovbD3rMZQ9AlvsPaxbl70NxKy9mMjhvEBGXz3EeRE9yPh6vTL9DLn2ed08m0N/PAMMMjz67Gq7/f5VPTiTlryEpTo9yeUIPa3ViD1R4Xy7X+x8PfuciTxWwiu9UVZLPd1/Xrvbijw8Q7GWvXjNjTxJpxa9ozLUvKj9lL0mJwW9tbslPBhECj3cXNk8sgGIPRVrQLwbHeU8JfkhM 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 PSD8UT14SQW8E2OAvREZhTy8MiS9j+H7vD9PKD0Jzq47fbdbPJUoCzy+TU28W7jxPDR9y7z+44g9I2uvvS4F2jxj/9S8EzQCvUGR471jDYc9j+VHvNdM/LyH6Nk8K/i4PaYWbj3prBo9O1xOvYoiTLxU06k8R/qWPK9vJT0bZxU9BHJavVpH2DmOhOk8qhz+PCEIf703wT+7FUxUPDRXib1Y4zg75RGJvMHOBz2bOEu7w4g2vaDroz156ek6z20AvXvLID0GdR89g5Y/vT/Lkbzf4cM7bWkQPCfs4ry2X7w8eCWWPdWvDD2hSow8mHXiPNijkLydpw88lhqKvd+hWD0LXkq9GYrTPGPB0L2azDG8dty4vPN4aLxtkiC9Lp27PSBy/jzrCRk9mGzQu3eUo72ZJ0m88ZM3PfiOfrxoupG8XEtfvArqaLwfXCI9J40aPKml+bxoVqQ7o/oMPQK4Or2my9U83daFvKthFD21JoE9M2eVvIZHnj12zfe8mhAdvczikDyZM 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 gMm8XynpPJdNqDursx04eU6UvOI0KjtFB1E9fLTivN37Kb2N/Km8MvE3vWkkn7wlQgG9L5Piu/bNDD2tfA09RTXIPPH2mrztJTk9lsrCvJcc6Ltvza89H2irPUfCnzwJkGs8noQbu5tdMr3Cy808EVUAPZktOryCDi09sBQAvTCMJL02p286B3AuvTqDSD3gxAI9SRaGvcAz4zyGiS09wwIhO9oEEjwJCdc9NxoyPSe+fD0nnIq9vdVJva8eEDy7QzM7nEqFPWTjyLvfmz28eJCGPfGdLb2YBAE8jRmivJK6azz7dw69hPwQvajjxrxrnQA9BvepO3FgSb0BIjs9U/EDPZDBhz0vSjm8Sp/vvIErmr0+x4I9cjI2PVxoKj2TZu482zObvWQYSj1W98c8ODPkvOdqkb1GSg28+lQBvBgFnL2lc509UPmsvbJo3LznsFE9FP6XvGbTZT32fYM8u5+bvON7vzzcpp89Cgi5O2PQezvugla8woqqvMsjn7yWPMQ8jC+lM 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 PR2vjT192ii9hvxVvc0RBDypNqQ9+cNmPdN8Jb3rgJY8XV+OvBAZLL38CWk9c8vIvfz8Rr2soi09htoEPS2eDz3eNp68BA/uOommVT0BWJM83wOwPSyGbLxQiX+90b81vVzXTr3bpvY8p4ZHPQCwijxUHhw8FEhYPWqTCT2DNbo8AbNxvYlov7ysABS80RU3PfwRZjsyH6687J8CvcVQwzzUud+82d09Pc5PXjxrQGM9d5VUvWFyvL2gNms9kQB5PS2UyzylvDa9mG3svDgsErwkWpM9jXG/PK/fSr01BYi8eH4BvbTdB754DMk9/GazvaXHN72P4Eg849+evUPZDjvf8la8CjaTvFr7Or11JO+7xBjYPNWczjs2nC29Y2mHPQWXobxuk/G8sUa7Pc61Hj2UrrG8NBWePZy1vbrZeC09viUTvd0yD71NE1y9PM+cPPdLgb2l+rS8JKq8PG5Z9DxG8OA8t4vNPaz2Dzw7x/q7AjfMvF2SYb1eSN88IKKDPenNEj1cM 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 vc1CyL1nVk69kjy8vDcODz2q/Pw9k2MAPsbI5r2IYo690s0nPV3ynLzT8pa83AsPvu4tpL3tdXg9uXoevEI8TTymvtG8xQyIPQbCZzzI7IK69OZdPfMDjz0CaT+67xk1O8vp2bvj+qG834+UPVyFzDtTgf6824WHvdSJKL0C/qa9nyBkvYXoFr3asB69IiqfPcyerD21oeA9EXHYPdEIGb2P/L49+8OKu5lr8L1Q3zk8s4ugvXY7nDzOPWY9YI3DuADCmr0MI4I7E9PEvFI1Yj11Dw8+RUrXPQCAD74wnKe9R8ScPFRHaLwMSr86wXW7vWkXHb0/w0m7lgF4vOR8Qr1wU4I7xAYFO2IA4DyuiiU9QW28PT4/wT0jfgW983FHPW/1azsbB9S7Lnj5uvCK3zytXZC9n4OnvTJ3FD38Ujq8sijUvAJu6rwoxYu6eoFSPe/lrT1PdUc9nKSOPLH1m73Eq7c8GmZOPVFrnb3dbLg8dCC0OoZ+BjyKofE8q+xVvfrJib1DM 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 Z0W8r2pKPdEufz2320690oiVPdeGgjv68Bu8OHxlvJx9sDwLc2e9ONMxvcCrYL0hM6y8eeqCPCVWUT37l0Q9AeSRPSrFML1iRJa76kUuvajh/b2R0zM9DKRput3+Pjxg2Zw8HgDcuh4fvzxG3wa9Y9lOvR+k5jx63pw9ufbyPNzhFL6MMEI8vcudvW9zFb1raeu8s3sYvQNMKDw49IG8oMqJO5JqQTxyNzy9Y8aYvFuqNLxt0cW7rjpePXePdT28MzC93gB5PV1faDxnqnq9WrMOPS39VjzdiOi8IVqDvGx8NryY2YI7ICYHvasQS70rw548uagOPFOa4z3rcdc9JAMePcLxIb37VNO8IauDuyPogb3YCCM9/xQ7vUTKvDwk+kg9K7MpvXRwBb2+3Bk9MZ4yvI88zzuVLDY9qSAePY+CnL1987Q7dNtnPB7VgrxmjiG9BLqtvUAqe7z18568+43avAg+Trxwaoy92lhfPCV/OLyL3GY9xjEXPaiezT0OOAy97KBGM PIqYLjrdH0m8yyexPYaVWr1zpZm9d4tfvdV4ZTxdiEu86vicvZntSbzI1ws9M6bNPVCa9T0fnAQ+2uxEPa8fjL3my089O1nvPN2Aq72/TEQ9+P+svTY7VzzBncC87ls9vS7Lk71HhgG9XafCvCnD2zuckxY+LAw+PZCTwb3pAo29KH0AvBpM/Ttoudw8oc+nvQs2mL3UN5U9uVMBvShkSTyuWVm8IV1SPC71lLyZZBq77qZxPbnK4z0tEXy82ZknPAHbBz0OQDU8Ci3jPF7xa70Wfx69K/ghvZP7u7wrURq9U0ovvfwqfL3f40s9kEbJPaJDej1Iovo92wmgPS3Nur0t9TU9yCTLPOnmcb277ZA8s8muu/remTwlkC89YeY9vfDqYr1Tr786qgNEuxu3Sz0mj7U9T0FAPYh90L1khom9pC+CPAm0bT2fVjS9J4Q6vaJS07z3ZjI9JEM5vaaVQrxY+wk9FcDMvK5o/jzWQT+9OiQJvfGcgj2+NiI9rBwiPDLaO737M 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 x6W8d+cTvReizDuPDl29POFcveXhwLz8zyk6ra+KPcQpXj3B/eE9we5WPYdmNL396xC9Tu0ZPdZ6bzxEQ3a5yjUyu1ZKhz1C5OK7hPlcvcvqBL66Hr48Dgd9vLGuTjxqqNw7nLmCvLE2p7t+0kS8HHJBvfUVnD3N2i49oLTJPKcmOrtoLXg8JTCxu/+W2z0vmIQ92UzCvMiwWTtPEo68EQy/PHc5yTwohCU8eYqnPUna7bto3JI9Vangu+sCCb1F+4K9aIgrvbjPODyy6iO90G+fPBzCBL29RZg8stSfvLtOPrxGjf08MUgCPKCKQLy0/IW8mqIxPdiZpzjMCNQ95VXIPE5Lgj0Cdom8MZaQvVsiNTtRVyW6mCHsvHwZI7xZQgW9VxOWvOBklb1UFOs7TOUEvnEWqz0T9ZU97Ee3PZao0LwWLH69XdXLuwVXYD1c9gs+xNUcvrUC37v/lSE9yGgVPJZkhLyIIw06H1rMPR11Pj3OsNo9tWy2O3Ur4Lxk+Ba8S3B4M 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 CFu7dZAvvIlNVb2JPrC8TpWNPL0w0ryB++K6BjOLvYMuQD0Tv5I6BMhEPXY1VT28GWS9AerzPH8h0T2Q9xM+ExfyvSduIj0l3sy8JEvwPFbQDz1cpq07u18GPbLTkTytfNQ9BE0SvRgnqLwOT8i9RzshvZDM5bwXume9CpfOPaOXyL3VGFC7El8PPbWWgTxeuaM8AZOavc1weLxaYXw8c2ffPHANpL2Tc7k9meRVvbfgnLtsfoA8Em6hvXP/K70zNU29K0dgvXtSB70fLgw96kpzPO66Cr1FmLW8IKTivXKtTT3jqDg8qN6aO+730Dx/F9a8YLS8vTf8jj1ira49AZj4vYazIL1olIu8HWkrvB/p9DootuW75LUfvY4pGL1YY9k8qvyMPPZnCbxHSSU8fhYJPTbKPb1sRhC9OkPHPbv46b0ZPnq9ErmYPTNNKDsfK/Y846HNvPS0HL3MNfy7j7YQvcArCb2P12U9ZTE/vOkWGrm7mX27eY8DvhwQZD0Zkya9zmUbM 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 pik8d36KvBThbrvNrUw9/PcEvZ9el7wi+jS9oAIuvAXzRD0FX4Y8D66iPXRLkz0W0UC93mVqPIUGWD234kU9kb4+vThICD2yddq8L2UhvQdQQr3kIE893GPLumGWND1Yi2o8YQ43ue8oZrwdvY899hoAvQDgCL507W89x5dCPWj+YjzLeLi8rUYcvelsajwo2hq9MzXOPPulhjyfyA09yLIOvECzw73hhqc8vfCcvNldcL1tTw+9/Sc9vQCqVz0cYoq7VgklPeByFL0oyws9kQw/PdFvcT1Ao8o73J3GPa+b8z39bz+9rPwQPco6Mz2PcYy6TlKgPeUg2zz8jZy72h1SvUSeL72MCk69mxSXvRIe7L0qTC09XMY/PaaLCT5RBRg+Q7HPO24wg70/QsQ7GMXoPOFgGr62qXk9rPNpvP9KRTxoi7y8fERjvSNKxDz/sQ69b8QYPdGPGr1VTcI9L3+DPTN0GL6Hv2K9oNPNO2i/MT27cX69tVrTvW5pPbz3tP88cU1xM vHxmLL3J9Re8EBGUPcC8ILz44Jo9XrS7PXuI3z1Qubk8CiecvfHM+TxCSF48Tuy4OkXX+TwJecK9W0Qqva0WOD1sLlm9pqXCvS/lv72f9nK8pXeqPWW+AT7DKzQ+Js4tPdKI3rwRPf082v5YPVjTtr2zByW8jID8vMWVlD3PDe07hEdtvbuYMb28Nb2809qGuzpG1Lzbq4c9K55MPZjUyr0wm4S8qIswvCWmdD3Y1gS9CiarvTK0xb0L+Ni8wUQWPQ7lc7uOX568N0NNPZeV1TySJpg7YEHWPWT87T2nVyE9NGBUvYJf5rs5bzO9ECK/PEaHCL0S+rK93AomvR2np7wOxgO9KAOnvQlXQr13iVk9BeqiPQyC9z2wCRo+8syoPB9o7ryVZKE9b8OMPTsvWb1GAkI98fYIO/J867tJJ/G8/R+MPJINybx3mRm9MiDwvCxWw7x03cY9RTfrPAH4F77zjW696nHBvL+YiLxfELc8Tv4PvWzuUr19KEU9iH/iPK6Opbz+M 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 vc7glDzL6Re9zF+zPbKgHD0hz6M87zCpOyxogz0Av028O1KUvcFKTT3Ip3w9avAIPjLUGr5akMC8qXqpvaNFOL1+u2299WOVPTT4kT05mQc9VCs1vKbdT7zdbYk9LGS3PHusDr2CNC69Y3oWPBh5SD2EQBy9Vk+NvXcTBb4qJY+9zARRvFlYgryw7n09kT6jvfFslj1w1tm6OhWMPcKsCD1M9qW9MCnNvHEIkTsNDJ09w6wBvpUQGD2goSE82mrYPOL3uDuZNva8cd6aPGdUjDuboKg82pNLvUwDlrwkMoa9U4VfPYh8Yj2VXwE8LYOoPK+gkL1OEIi8tLsJPdHVBrziZGm5NnqIPV2aEz3fWO+7NVl8PVCtpDyWf8g8bCN3PIDI8DzIQN48KIAZvF94zLzFtjC9LdWTvYQI67usyck8g3mSvDhBVDz5D4O6UvcIvgmlSj2tdH28qtwIPV+MozxPYrY7RnivvDQ3Dr2i3KA9tzPXvdlgjTzJZVM8j9ILPEAssLz9M 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 vQ2Bez1yATw7295BPegE3L0BcN275i0APrcfaD31SWy9sp2jvbuSYT0Ti9E8JWBNvP2vwryH8oQ6aqsPPe2POL2haas9O9BQvdgXjT2srDS50ZyZvcw7yz3Sa1s9qEXGvRUdNLtif/+7tIySPf7y0bzi1oc8FdcxvfLLQz3uxKQ6HuF1PFcjVb38cZg7nWgYvRh+gb3NMc88gv5Qvd3Cd7xsYbU9x5h1vdYQiTv7+q28K/brPKgvEz05pDK9ZULgvfUL1j0pmGw9FAClvecaRL0MJJm9iciWPW7NSD2YRQu9MA03PLD3Nj2OfEY92WEbvXOd5jwxP4A9eviNvbtHDbx1ehY+q5kavf9EMj2UJ9U8P+ovvUXyRb2Yp+08olpovfVVjL27O/W8a6AIPYZUlr3Y3v4691XGPCr5Lj2Iv/C884RcvUuZULzF5Bq8F7KavSWdU73V72Q8/1O6vBmNVz1PQYw99huNvCOoz7yFv4287pqJvEffoLvKWJO9IH+MvVd/IT30M vdc8XKqnPITHiD3wlXq8WC+nPW3GczzF9MM82DBPPUZSPz3LFEa9rJRwvSkspL043qW9JTs/u4dxLzyNhzk8OyAvvThVrj3Nl9c9I63Xvf07iDyn8mm9VPDGvWVror0m2AU9a2CSvTrKTb16jpa6urEfvR4b7jwPp0q8aTfsvSWaUD1HC4u8An7CPExr2bx9CgS919fzvWbhlj3lJBo+IqagvY79Fr0qn7q7fc9+vYN7Cb4gSJC9+/lPPTvbWr2dAGw9VkJ4vIbsiTweLCM9RdkLvZkJqr3MBfM8xi9lPeru9zwNozC91PgWvQDuyL2i8vK9Sc9LPA2doT2MQhu9iOdPPH/vFz50V4Q9wvh6vVXJ3jwXoKS9+opFvcAjUz10t1M9UobTvQcniT2qm6a7IZxqvdYbmD3d6rw9y5FovjhHbDv8K5K7J0WYPTXNITyOkUO8jI+svVuu0zyOObg9BLbYvdQRfzz1QM882XpxvAxLXLzH/pi960TePKncm73A95A9OmC2M O44+sD2fSGm9pAgbvJp3g70P9eE87eTRPSVzyjtcQg48PeGzPUst0zxxTrG818fmuuYZ1rtF9F+8p+kNPJbctT2k0d09sNeOvTpZOr2PfMO9ZC2TPEv7Uz0hFnS9l0+Du5W9iz22eCq9k2HsvDP5nT0mqtw8LTsxvq+CbT1rys06zmvDPQbfIb2dNoe9OcJNPHJ4Gj65SyA+ax6Gvqwj+D0a+JU9Vs9nPdMVwj2ihMa9Mfoxur5CfjyGnSG9nckYvuRLizzQmrS9tROJvV8arD0Uvws9nTrIPcE+l721ffQ9b1+CPbwysDwRVlU92sravXqEcjsBh4Q9QgcLvdxJ27t1+7M9trXUvbSwfr3WthM81M6tPQhpHj0Pi5u90RWKPXM6yz27qZ29gHVwO8eqS71dN4w8K0ryvcmVtLyXiA29uyZ2PXCbgL3Q2La9PofkPGWmAj3x6xI9B/5cvnLeij0kXKc9SFOoPUuo8T0Llqm8Vbz5vJqVaj1cP009zgHpvdNQajzWM 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 oKi8SYzjPeefmjwCYLg9qectvNz6xb0FLQ48leaMu3yVLD23rJM9gEEsvLmNGbyWp9O8qjswvKtCLr0iYWE9UbYLPf43672Qt4G8C5s2PerenLw0Jmg9K58dvtfrjLyVFOa7WhNjPULhYT2GyoU9rdiTPdgHxjyrIBS9vPWUvc24Kjx3t/g8rHYkPdZ3jj0SbIy9YZfwPZ5xYjyj9I49TpnuvM33kT2rQd08lj8GPdwTB73Kx4E9v5mNvQ9CDb3n+Ig8UZdPPWVLmLuPxwO86KauPFPqJ7ywDw494uOHPT1Vobz2DzQ9I6rLvOiX+byBLkk8zOusPMhP1b2+2948MMLpvN8XqL2K6nA9KneVvP/0Fr276hQ9DwGnvdmeUry2pUg9v6WbPVdrnbwyR5E8zYd+PR9MpjwDUaa9CJtLvJDVA710suK7Xc6JPeBx6zuPlpu9YcMMPUGYdDyTplU9sgQ5vHa55jyYV8w88vuNOh4+RjxM9oY9ibSFvfaVlr3h4Km97Ae9M 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 vexhFz5n6Ga+25CkvWG5lr21uSm9EyMIPNVPvz0FfWy9DX6JPVwEAb1oPDQ9Z2maPNPiqD3uKBG+L+vhPKMrCb0hUTA+bBM2vpAZbbxJs868J+dFPRehlr11cQc+VEIRvV0h7j0Bcmy9C33hvSDAhz2HKcA9rb5BviCHybuS8UA8Aw77PeADo70bEvk8CIkRPZLj3Dx7iLO9ja3jPWInab2QbmI9oLfTvR6B8r2VEwc8gfsBPlL7gz1ioag9w7vRPPrkND4Y8Hq+xxeFvYR3Tb3djOk8D/q6vYBhxD0/HR6+Ea4GPU5neL0Ipza89b00uwSbbz5nQ4y9cnbJPYXyCj5GDlY+9lx7vp23cr1138C8lUQBPnX4n70f+VU+wBnIvZLIqD3gnbO98JTXvdg7kjwsHoM+U9vPvUumojye0YK8LnKaPjA7w726CSU9gCEZPspFtzyAb3i+fBWyPgWF1r0Gsmc7F7AUvvZlKL5bxv+8cqwFPYwa3Tz1fKA9IIJvPXIU1T3XM 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 vBfnWL1FNp69Df7VvaMI1j3jvTw9u60NvrCh87vUx549JdfNvKkwOj1cYzU9RconPb5Y4T0W5y6+j9WNPY347DtEmK29O1ZevZ6n3rzrDLg9dggXO9Iv8L1roqe8D+4FPXuAZrxCKVg8D0RFPLlNTb2PlDQ8SxD3PHuUFL17wQ2+L4zWu+CuurxIlM67ItO2PDoECj5MDFI8pHPQuk1h8rsP3S09yUhnPYUDrj0GB3A9fBuSvMUxgTt+zqI7G/BzvZeVxLwFGLq9eIgwPDFbETxap3o9RrANPSlYizzgW/s86QZXvE7M1bwRQLY89eHrvHBZ9ryDGkG9HNSJO964ir0TerG8mOmxvfwWcrxENAo8sPgHvS6GLr13jbq90qwKvTduMLoxstI8elUQOvmxlL2CBZs9DTv7PJ3t4TysMPy96iRgvXcLiL0B4Uk9f/2pvbceZz29x8w9t3YhPXl4hL2hAjo9e0bpPMoAdT1PZnm95xY8PEN/1TwD7A89hK2ivQOJnjsUM 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 HA68btkzvi91Q77KNJa8mSUIvV1vY77DMfU94MgIPU/ARz3csHi9xiiQvYe9Wb7tAok9MD+zPD2N1T0y6ws+k2IMPYsrbL2ZeSA9kYa7PBUWET0/4LO9xvlAPLlwWL4bkfy9ZJd+PUQhvj3CJhe+o8n6PRI/W723NhU+TGIsPuHXob2iIaK9z6NSPexL0D0M1hU9xoTAvN/AVb3IG4m+3rYzviv077wznRY+O2tMvkvMID6dak094+tIPfMUhT7GowK9zr47vXbNyL0EpPq7FgOAvUrps7w1I8m8wESMvPvElD2DNFi8AKPovcI0cr2uniw9oQ4ivfsbrT0scju9eJbDPK4+Zz1ovMg82nWhvDuGO72RxjU8eV/WvYfCEL59Y2K9xI8hOwn7Pjwv3845/pH+Pelpqb1Jg2U8+o4sPf3f1rwZ4Yc9XXjYu132HzsF/4u7KMhpPB1N17zVB+O9KH13PNyodDxVFkY97UhjPQa53T0Wj2e8MyP/vYksW72unOu8gbMKM 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 vZZHij2aSNI9cNBJvYHqsr0utno+N66Jvc41E76zODQ7OhMtvioxEr31+HI+LW4XOrzry7t0D0a9C0dJPjb+hT1ogP88RcAqPoi14L0zTg6+NdmLPj51gr2Vm+S9bbPAvU5SKb4+rA29QgFRu/5ym71QF0O9c9G4PXAnW70HgYI9Ajn1PaXUeT2Ek0m8KoimvSuJUjzwegO9vDJVOymhDT0ZykM9NRBOPVf9SD2d9VQ96zSJvTHClTtbO9g8nSCCPYR2DT6QwtM9IYBNvbQ3Hb3Pwr89jG19vcwlaLw3JQI9Qa3ZvWNZHT2Xr6I9AQBAvHy9Kz2LYR69OgN2PZimsD23ld09ktjGPfocdb1rZoK9/1kTPstxgL1U4NG9WE0OvZCj673+AFG8mpMAvkQlMT2xEQ+9n8ltPbia+72LUOE8FbaNvW1hW77hiqk84yozPtTxMb6FXlk9KaptPWy9Kj385G8+H/cNPmqaWr4rWgU+EZDdvMP5Fz6ElxK+aEV9vDcI0r0FM 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 PYxZk7xBTQg8+pevO/zI3LyeTcY8j5cqPeD0pz1YRIu8If3MvCUh6LyAPWk9nlSivIEeNzs4hIS9UBU8vT0euzsvJ6G8CwuHvWzwNrzDnQu9HA8wPUYtGzwmwrm7ly4PPjQPEL2j3jA7pA0tPQnEoL0nGA29y3Y5vMMqoDyx0Aa9zbSUvDyD+Dz62fK6nGmcO/bijLts80E8QoEbPY33ET2V1S46knscvVwsxzx8XdY7VsqLvHky8jwjPpY8liVgvfyYCj08CUk9f6onPeW1Qz2o36s85uo3PasIdD2fjXC8n5C2PD3T6Lw2yAi9RyJXPcl+BrzF+VO9IBZSvQaZEjxGVlE7Is7EPGWtN70VoAc7LeY5vSxWiL3BZ148F+F6PfMrlj3S1xM9LQpCPXsZI73w/YU9/INoPHp3Fr1UJza9BhP4PEpG4DycSfm8ltH1vKWbRLx3NZs6GoRgu8LjIL1up5g9BJCcPGLgx7uVM6g7r0yNPEbzYz1FopY8yMwJvfw/Hj0pM 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 PZ5+hjjiQ+w8oHymPGq/Ab09Jx48MMGKPAf7G71TvIe8SvfEvEyC0ryOL449geOjvUsJg72A/7K8sDEkPayGz7yZwhA900XzvMx3Db38+5Q9wNjtPI6NEL33Lng89NWMvR97RjzozmI8fH7WPHIVpbyreIW8jY6BvFpmfz1Sn28956hYPJ3Qx7y0CKG9OfNCvbeZSzwun/U7icN0PflPdL0nrRK8S3KxvPgsAb4PG3C9cIQTvl1UYjxSPnI94DHlPPcOljz1nLG8YgMGvMEnQbwR0Z47VYuDPTXTO71d8Zy9FSMOveoNZ72afyI9VOA2vojpGrwvuIS7i3OiPc3FIj2nScY8XVFhPSkFCLyBxW69VIR+PbYr1D0tTYm96b+dvY9x7jwXXNq97mKIPXN8Y73DgPU5qKJJPFkoND23r6s89YohvNbgtT1BlGW9ZeTIvbNSCT0Oa3U9BzGCPZu8vb2wHoI9KyOYPcRDTj1rvV89IZUkvlp76T3BA6S9HS3AvdUDoTwBM 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 hQA+aazEu+khh72xPuO8VHB+PtDlND4xZni9/zZevOn/WD2JrLO9eB+ZvQnJcr3Jfmw9ukNZvVuJlL0Gfiy8woKwPfm5hzwa/5O9V6kFvc9GAL0AOIS98e8/PTLExb1xJUc9b2GRvYw9C73fisY8oW7Uu76wRDzXQog+gw7pPKJe0rzysyI8/0WOve63p72tPa89/BKTvVn7fz2i9YC96YSRO2R657wpxsK9WyYNPb4wwzxpMaO9WmVePimb8D0YA5Q8MDtTPXEXwL2lr8y7DSQDPizDAT0RRAs98zDXPM3+rj3Ut8C7/U4rPTShGroQWHC9DZkkPA97wT0iXii9mZeQPRUFwb025J29U4TUPA6rr7pl84S9BUNQPokPRr0tTl2+sIyjvbMnML5SUyQ+aeqXPS4zYjzA/ws+qAdMPVSy573z66M9Wmd/vZ4Yvz0hItM94WudOKXZLz7j8gu9y4RjvgHd+b1VO2i+W/H+PR/6pD06UzS91OIaPlp9rT0AxbC94sWwM 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 PqnB0T2pzOE7PgsQObBPcT6hhaw9Rn6VPMcE/Lvb/De9Jio9vt1bWL1h95i9S+GcvKaH1LuC6xS8vNaAvLy5C74IxEU+DalvPqq0ADwWvIU9WHjEOuujhb0Yvqg9Ucx2PUCb/TwZuQw+Q8ujveghhr0p9ZA8f3eJvW+kGb3F1tk71wggPdPdFj4TN8e91fkzPnJFnz2hj0i9tvfkPH2rGz3mckW9OxLJPakgNDsvtyK9Ls/TPNyYdr12di69kDYCPiMQ/T2sUiU9wLYNvUfIgD61FLw8r2ujPGpfxjztvMg8zIoBvooOOz0JR2K9IZWyvcaOvzzgHss8n9tXPYA9Ib7tARs9JrBBPsowiTx6oLs9/+XnPUuYzT2NatU8jDOCvZgtyDxdZc+9BFb2u4Uue70DR1y9BXbLPaHpYj0SrIE74BNbvLawKz1HVhY9H6cBPttsfT4hz989LebqvJMUt72hy0c8dYWNvZLHC70+q/I6Fdnive/HKD0yEG89wyNpPbpEFT0ZM 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 vaqzID6bjIe+SkWzvBrz9j2+yy69yQhMPgjzsTxpdes9fDkdvvfHFr1YMbu9DBXivazd8zwATmu9rMLYvJCZB71hbaI9QvIrvoZ6Uz13QYI9z/UWPSSxmj1fA2Q92XA9PjtY1D0hzWC9o1SdvPi72L1i+0Q791aFugZZGDzbOty98nsSPljjgb3aVyA9d+cKPBYidbzYYhA9eGMuPYR2mb2pxiK8DByNvd0ImTxIULi9q6gEvvufbr1VQzY9kibpPS16sjscC0q+36LMPeGBLT3rMEk9Xa4kPmO0ir37Wa49DUHMObI+Lz14ZIe80V6zve3Znb1vAfy9XdDHPUP9qj1/fE89vJTHvcB4tj0k+7O9GITXPZd0FT4CiDu9q7c3Pv6qKj54VK49uyIzvWHDg7245+C8aaeevRQDZz33EOm8KbjvPU0ew71HhCk9IAcXPWwKUbzmaZg9dhhrPTmdJb4SChm+zKFRvRs34bycmLe8u4NsPY65xT2QRPq89D+vveH1VT1PM 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 oto70qTAPCf0Zr0rEZu7hgorPHQpvb0qsIO9UsqdvQxAPz275AU+CxONvFxWmDwjwYK9TyeEu9+xKD3DYEI+E6NJvRpQlTwe4Km9ti9LvlgCKLwq73M9ghXGvZ549709EEc9KdIGPojYhrn8GtI8bDx3vRtker0P7AY9QckmPV3IlTxwAjE9ccHZvfb4IL59FR69SSVxPigvLD41/pa9KNr9PAQZwD20bpC7IZsUveHfh7sJZTO9sA7ePO/jxj0BueG8Gx0NvOCIEr7n5gu+b6gqOkkqEb6ezVS95MvrPVMOUL2Sls09zLgivZLzRb1MMDw9DjWPvLowAz3IQJk+UnG3vZW8TD0Zv4c8Ppwkvm8NiL0Grho+AQtKvZ/Fzj2vw+6847hbPYNkfL3Rcuu94OWLvaPzij15HcC9UVpJPnjTRz3JbBw+1jcePV06K77ZBZc6lNyNPugHPz7UXlW8eHNYvHXclT3VUpK8EFvgvJarxrs3GF2981uKPP1y7D3XBhW+s0cTM 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 OitfTj3LNNG9nC/hPCdI0bxmepM9UWWwvXYmFb2O3qe9oit/vfggfT2EdlG76gC2PLgkrTrcZ6K8EK4CPu54JD1728o9rDBUvf24aDx4mhS9y6/8PPSgcLy2t7c8DA+VvcaF7LskKHe92tcxPYMlpj2hTAa8M8EJuxjmCT5iDWq9v2V7OtcNbr2Nflu8QBDHukfVFD3/R1S8XdMqPGJcZr32zOC8FLCGPLqpXD3E62s9ZZxcvc5qgD1/UJA9D2l/vMS2zT3yKkq9vgQWPYG6mjxnDo082FGKvazmXz3/Awi+6uLIvAEnMz3mLwM9F9iNPLXBAr0/rRc9BT8/Pbmibb1BrZo9hdiYvRScizvs4O086JDLvDFNt71FgxY+hOiGvU3dCr2YIeA7uxcOvPHN0j2QjD29nAkSvWENsT2awVW7/NwAPRvQg72ARd66laVOPNkITrwtBH69hVMePbCjc702mhC9o92GvaIIvz3n6+I8Ep4IvbVp2TwXZs+5n45XPStIlT1sM HK88/sb1PDWE/TtXvhE9kAh8PX3LL72Jaxm9OtuevBqlAr15ZEC9nYsHPc45ar2MYfE88FDZPHIPBzsOx8U80xuau3zN0Tyvk6G9NqF5vCdFsjyDl809RYQ8PcIgXLwWcwa9ldqgO/qMMDzg/Ci8TF6WvdWpDz1Ps9O803sRPeMOXbzZcCK9i4hwvMTX+DyCxng9Ml2wPbcS1DyXys88LiU+vUu+NjzLOku7ygcmPeH0Cr1d+qU842ZjPObxvLxzNWY9hFn8PMr7+7y03ty7mtzZO/+mhLx4PxK9xOd6vQhAPjxPPHY9dE9PPTon/LzOtVA9A2rrPM0Ckr2En0+96Za1PT09gzzKFPy8yCS1PPWVkrwOuJY9mfDePSUkqDwhSnK99/O7uxv/Aj0Ju1k8Frf/vGvpHj3JqP48ev9/vPZD/by5vuE8b8SHvVYuXz1Q3ss9zUUcvR1qKj1RtGM8Ox8+PSn6ST2+YBm7Q35HPSTu8jxmlsU8+l1Wvf59Nr35XIk8ZqWTM 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 phG+cJT+PGcLoz1frjm9wcUxvVlBqbyMplw9n4sEvLBvXj2OtEI9GG0evG7G2r0zuho+T7Mhvi4FArz8R/c89k4Gvtfm5zzLllY9YAevuqh4+T2hMP+6tHzivAMS+DsBcQo94JE2PVb2oruq6JG91FUnPLf6D7652gm9qDGduv/ZtL0Fevk8fjILPOeihT1sFlA97P5APayKRz2/q+m9sQ/PvSw+nL2c3o08rdDPPRpnsznhQgs8JdipvFhZwr1K25A9qi3CvUDyqTzRBiY8Bxvzu2TAAD5OTtI92d4XvtP/Nb5XxYy9GxLuOwArVj2P2c89qDtKvNWxVz08zt+8Hv38uZsCNL0Q3DK4WD+Cus6tED5hXV49+MKfPX4uDL0WUiS+JI6SvT0MNj0hnVM9ONEmPe7OjL3M7X29XE3QPMlMPr2Qkty8NcRnvac2gb3QYTu+Sn+pPQvw9rveUbE9Mv5LPbOoA718Mss9HRRsvcZdXrxz/Mg9llHtOsQWtb3XGV097DYkM 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 IlU9tvu8vbg4y7w9JNU9gcW6PK7xXLzlg+a7GZaEve0E5z3ZIX69WhbyPd21ST29zGG8G0nvvIa8DL0xHFG8AMs7PdCPCjxw1Ai+BsFsPTIPjD2/zMY6xhkcvdFFIb7+Wfg9Owl9vNr1f764u4W+qnhEPfhy0b1ru0C9PvDRPKN4fj0xB5y9xOgkvCajez139Bq+IhqXPWj4Bj5mb167tY+bPTvFN71mxb481/8IvhsRebxIWmC9FPEfvD0Biz0F/cA8zGzQvUMnvbwRiRs8/lyTvGiFxr0DTDc9loBHvaDLrz34APu9PS8xPtBpUT34bzM9ZLy6va0Tk71nib882XP5vOVtO71Y3bO8xcflPJ51njwYFi09H7TjO1NNo7zMfYQ92RHHvSltH76IsUy+lVKJPU9yFr7s9/c8g25HPSoD4j0+wz298BaFvZBrCL0Eh4m9080aPdKwkDxQgRQ9rubQPVqvqLzg0Qo9iN5lvrgZVT2Imdu9EfkWu3pNzT3EOJk9QwwCM 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 PUqtGrxPmbG851ZBvB4+Iz1EIjY950ETvSuzXD3AK2W8cUKAPAVch73Gy7U65KSIuo4cAz0LRVE8WlfGOTD9OT3amxC9buuTvZNSfj1cT9s8+KHDPJYeYjyuA8o8lrk/vCQSyDsly/W8wEKXPB0Oib2pnrs8hjR3PbPSpb1p6AE979coPWv2rb0cALS9DZpNvYU+Qj056JO97LA/PbXBgrxp2hm8H46oPKBvOj1Avxa9GHyGPadeNrxAiI09u+WYPerUkD11Cqa8iacNvZs65zzzWV87tS9jvWHsoLxJgbu9d+5rvS0RZ7x3SgO79JRXvDNAEbxtdZI8XaQtPA5jLj2Bnvo8xIVzvZIwKTvTwYW86IMSPfArMb12dye96jQjvZyWdb2GwBg8WihEPY92Drxf/jQ95dNLvO8OIr22myA9r2NqPfq1Jr3CZRe936lGvdAijD1VC2O8JmCOPOXK5b2SUrW9FamuPZbHLDvfMSm9eIEZPeFNDb1xuBM8BoOBPf3WtD2RM 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 tTK+wxf+PPf1sDzysoG8wscoO+o8K74BfIM9r2J9PePCa77NFiC+cw/BvSbFnb0Jieo97mooPLmkvj0wAx69kd5kvd1J0DzeOa+9jAN+vZ4SEj4YSyG+XKQ8vblLhrtaPVo9zvTNvd//HL6VtEC9pWX2PayyjD08ZEU9cQCsvZu2Wb3s76G9ZnsFvWQx0L0gZaU96mnOvZPpvD2A+ba97eeLPoB15j31lvW8s9+jvcIxsD2hMp49xVEiO5y1CT34X269BA0xvIhfBj0yTwc8gjeoPfAYtL3dKO498ppjvFjxj74aMjq+xgQCvilLvb1G7qM9SrsxPTV/6z1Pmvy8N0i0vRh1Eb3IXK69cUkCvXNDXj1wFqu9uRx3u1xHsjquWjY9eLzwvY6z0r2ATBC9ZHY4PYJ6nT2uFCQ+fQ3FvaeMI70lx6i803tIvHLch70io0s9nj8WvjTa8D070Xe9OMI/Po51Xj2Ecd68B6KKva0QMz0Xzks8ju4uPYdZR7yytq29XQrJM 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 vdTlWz2Di349iGliPdlk5zw5FRM9i4ogPeM9+DxMwmq8NJHBOqocMb2o8BU9LXEBPJnho71plJm9phLqO4zQRDwOOlS7rwhOPOECjT32WC29fmEIOkBqoTt+pRW7o11LPaF437wAw5S9XRl1u8kpmT1QaZk9/T65PNr1WLwmdwi9IQ2uvU9LAj1ascO7StG7vVaAlz1eH2w8aYeaPENSx7z3BNk8C1YMPVc5b70iCai7tAmVPG/tAz31aG67snFYvX8ONT31kXk9xI6kPWJ8zLyCKRK9zaLuvFrYKj0g5VE7poRtPF7hsr2sgiA9ZBa+PYfAtL3ro0m8s+uoPG6KEDy43lK95PyDPHuznj1CEZA7gFNAvQ/VlryUp4G9GxG4PVmNtzw2lL68eq1cPcQP6zzz67s8V0ulPRNS1zwACnq85F6HvYmwDz1Wjkc930xUvSREZj2zXCa92JdTPS52HTyPWWq8rM5pvbRw2rz8VoM9LrDGvAz3aT0lhzm9oHydvSD4Mb2OM 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 vJGLC73kQCM6iEdOPLKKH72QN5i9xDoEOlmCBb082kw9Sk8CPYYrBb0yJgq9yeIIPd0hTL1Az8i8C/bBvYBefbolqoq92w8SvVgzwrz4DZG9ohEnu1lSozy3z/W778LtPIYNA72ds1Y9VTDvPOT87TxQQq88Yhr7OomytT0DtK07TRxcvcYLF70mOIw61azkPHCRv715Vtq6aoHyuaRJxrxCztA7hRATPReXhz1E5R89et49vQBpAbwckI+7XdUZPXsmaLyfTQo8XMStvOdmPb1fAC66onNsPR2BYL18BWg8ZmLMPACrsb1U17M9zZrMPQzbb70skDE8WwQbvVKAnD10s5S9r9CFvI911r3cFLO9kU4mPFDBrz3f47o8C2JgPXv+vrz+3mK8wdjcPeM01z1SwzK8gE/XvJIkKj0+AYM9zOJJvcNZo7u18p69cEhAvRnyob2IYkM8n80uvIHbuj21yFU83ououk2UIj1WMaI81USavLXR0jzJV0c97EcovK67d71FM 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 XgA9Vi2BvdFzSbolvCI8Z4ljO5+KGL2AUjc955BCvdLg5bxgyWQ7haHDPAznQzwHEPg81CoRPVdNfL2Q7tK55mhvPUhN4LuVx4C9VwXMvMkyhT3QG669fSx/vfLEv70/bZu9btlNPMPr1bw6XXW94x5/PUTW0rzAO5Q91FrePc+89T2Kc269TF+dvAe5XD2q3YY83IugvfjFXD3+TdO85LQYvcbcsrwa4XA96vnjO35LOz0zJPI73I0zOzYzyj3UwmM9l5EpvO5/fz1LK308Cv5HPOyDSb3B1lm9NsNRvJPfNL0SKyc9QUFoPbpa/bwSWha8DaDXPAyd2r2fook8cYvlPGVWw7x9Aaa7kuHbvPLclD259f286tDevEyRoL3OC+e9/2cyPdtugj1R8VO8QmVqPDv8lb1x4LA9H+n9PZUAQD2jL2K9RldfvSA/Kz1Pa2U9dIVtvXHxvrsgCaq96ql9valN27xLQYA9ZPJXvQBYmD0WivQ8TIWCPNE3RT0183A9EgoJM Oi3e9DsVJcY6SidOvOUKVTtva1a9s3ikPBWBujxmYq081c65u+XAcLwsjY68CS78PHPAmrxnG0y9jJZVPVZH4zx+NKO9Fpj9vOwdED0STnG6RwnyvYjb5739CIy9xKTFOlOjAD2qm+s89m4Yu/Fzlr0OibY9PAgAPsIxhT1UyVY7S3p6vbWzxD1Zfb28T19TvefJcDx0bwe9WYXCOwo7Kb37c8O8lt82PfdMND3690m7bFrEu2KSsD3H4Wq890xPOwascD2LzWC8s0S/vNkNNT2eSRU9Az7MOtbn/zwYa2a9NSEMPY+FiTwLJTM90XAzuwoWnL0mvHC9aOeRPDQq3bwdkdk7s0shPLEtajyfL5S8okrevMqYRb3ZdzA8mPqQPe8qAT29qHG7A4mUvKLZ7jzBanw9xQ51Pan+tTsXdGw9z+ucvVKt8jyPozG9KYQru/ZBsbzug1o8UffTu/fELb3mP208oImKPOePJrwJ+PY8hs+2PLU7p7wbWgI98U0PvdpO7z0/M 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 ZnS8GtzzvDmwqD3U6ia8Gw9ova4Ifz0GKOC9JtfwvJIltbym1kC91wp/PMOeoj0GFju9Qz3NvUecZL1w1689pqp1vLtCV7323vY7Hs2FPZeosL2xoTw9niGavExxhjzX4Uu9SmuGvVEFtruCfSQ9MCUIvDrKQjvw1FO9YzoEPLLXaLxjg0M7CDDKPMy/ar2C8oa9KuwJPnJ59L2XxjW8kVmavQe8r73SV6y8oe/HPdu7Nr3tZpM8a9frvJ1Isz3wlD29hFQQvAcWejxxZYy9cOHXvI9Jqz3gIeG8lLppPFjZC72xwbW8YE/IvFAPoz0BbxG9BujEvN3IU71FmDQ9E8qkvHK+YrxSsXy82yc8PWkCi73iNug9rMXxO8crPb0kIBa8sraqvZviST1h7KE9aFCAPc3f+zwVEpe8bwBtvBB6Fz3vXh69IzHaPBYniTwN2de9Bn4bPQCg2L0kevC8UTt5vey7or1CRZI9lutRPdXmmL0oYAq9ydOmPPklRj17l/M8aVgiM 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 PCDct721zWK9IhkbOwDkl71VBK29T7zDPL9wBzw9w4i964nSu+ch6b1P6EO9D4CkPZNIcL02ZUG93QijPUQaa72ECBM9f8khPUgAeb0kccO6dTAVvIRItD0t+hy9iQRivKYpgjx2IqW9JO20PRF0trzrPXI8Pn5FPSsIX7xkU6y84D62PRDENbyIauq91L2DPFhKzroMtn893vbWPN2aKDxtl3q96tzBvM6eAr3JFGe7HtRCuxw3IrxCFwY+yl8wvCEjgL1iKb29jpmMvIRMAT3QP0m8I14oPZC8Bj0huiw8nDIKvX4f9b2sbs69MqCSPY6Sdbz/qRg8Cw+VPaFAnbxOFyS7QkTwPMS0Ar0wdru7WamEvagizj03YNe8X6x9vJbpBb0Rrq68a+2JvBnJJb1NZCE9kLNRPS8ZcrxidL28AJEIOxCOIr2SHjK9bkoLPQIqBLuVhtc77UXqPCyRLT1Nkn689NBtvaA/Sb2o2ps8gnOJPdUCKb3IK4o9fbR7PX870r22M 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 PS/Sw7x2ke+8MRoWPWoXJb199IA9bWmGvd2MVr2doJs9huBqvFPhoDwErr09HOVUvbPIajwaKoq7CamQPAbWNLsy8Yy9QjABvWx67TyrAv69xXMpvXq6lL3RWy69wpCVPaEHKT3m7wG9gsQDPAFiE70TbA299jHTvYMsTr1IdMo8IqVTPbqxj729n4w9JL4FvjUMNTwW/kQ9sjICPQsNgz3snVo9GyksPY06oD0q/6O9KlRwPL0Wm72V1nC9akCQu3wCsb1gku483+UWPbsnir0J6gk9p7NUvShJmLr5MW49ybPyPOCK1j0xuJ49bD0svJu3nD23yaa9AV1Evdv2LTyXIUC9YVPIPEWwhruM94C9vPsCPXt/jL3w5Im9y7u0O3HKTj16x647KnyPPOdAJb2R0OS8LGZ+vW/7wb02roE4dhqbvFhrLD0Xj2086kCgvX1537zOWis64LCxPcHjvz3rL487sxM5PPijbD0jlnG9sDKrPLwq8rz0QGm9vGT1vFLQDb0OM dMg8R8Duuv8qpL1CK0o8JsuBvMZrLj3RWdM7KwugPEbbKzzIWL88xIYhPXuMVj015Gm9+oSYvUIug7xtppe89IJCPXPT3DwFmZS9+WD7u2Nh/Ly7HDM9nSayPZnPn7wSOAK9vC0yPQGZkzzgwB89fny5vc+Y+73WxL69nrCBPcsnuDygy5y8vmxUvcRW2LyHe9y8sTsEPrv6Fz1glZI8pYCyPByOtD3685u83jAEvH5xqb0IGzu9RJHxvFEXLr009Zg90ySDPa8aL73FhvG8jeWxvN5yrzzQLpw7TuoTPfE7FzzOuoK7rj+APUHbHT1AR3W9qKHlvLMYkr1KUF+7nUopPNldmry11SY96nxKPZVk8rykWZE8bPV7u0zbITwFsoi7e3cIvR+QtDwaED683ip1vR7ZJb1SwDK9Yz30PRr5KT20DRG9lwNZPFSpn70Q/JY97MWgPS7817zIf7Y8lh8LPGMX9TwHfKU99UkFvUy3fr1lOqK85qKDvc/mgzyrkPi7JQtuM 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 PU8dtT0WdmW9JkudvTrQmTvS+iW9aKlXPbKbYrzzyS48EQ6mPTB3w73ulsM7wG3kvBMjhTxJFl09E3wRPRfgmD1pJN68seWdvTK+371I9nq9QcZhPYUvnD2GBQs8pCo/PcDwIT12ucg9DNZKPe76ejwbiP+8AW9bvTL/AD5GIRu8AnSrvb5zDr3j4pm94C6fuzWpKLwWrlE96uYOvfyfj7x1gco7qoGdvIZ+qj2Aszu8/hyhuzfUpD0R+3I9nNhRPfctgz3mpoa94YTCvQS+Kr2c8ww9VUyKPc5UWzyegas8iSdPPQyzur1zzxQ7qTVpvAuELj35jYW8OYkIPptphj0Nw189U6gHvn0THr5VdrG9xpfxPcaExT2wc+C8s3lWvFNQ+ryiT3E99SugPUzYib0hH488WDnru9qOGD6NN1U9v3ORvHFCmLvO3aS9tPkAvZUD0TwwvRk9deBNPYrXJ7yKj249+poYvYA8Oj1MDA294IGAvMGnkzyhqNk9l01IPPy9DzzqM 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 P0F04L3IAsU+h3sPPxzDxT55OaW+tNFFPiWUDb8SuD++dAEKP9o3AT/YErA9u4EjP6LyW71c9qm+WV/Dvg==", "training_traits": {"structure_gen": "Random", "n_layers": 3, "max_nodes": 16, "activation_func": "ReLU", "epoch_num": 6}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;consM t o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,M this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let M a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classM ifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipM se(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpointM s(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(rM andom(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:M n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}M draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,7M 8.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.M 9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let M a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469M .1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,11M 0.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395M ,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,4M 33.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,M 282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1M ,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(4M 69,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,2M 98.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3M ,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.M 2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,1M 81.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,M 218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,M 210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315M .8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(2M 65.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.beM zierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),eM .bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2M ,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVeM rtex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,4M 37.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,1M 12.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),M e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVerteM x(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131M .499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3M ),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.8M 99,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierM Vertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1M ),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(M 323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,M 303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.59M 9,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;foM r(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),M textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>MathM .max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;statiM c __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=M >Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLaM yers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.tM otalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neM uronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_M name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;forM (let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.leM ft=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elM t.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(thM is._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||M "top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._evenM ts[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!M 0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigiM n=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),eM .rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){varM i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}M },document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="73";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,BM t,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGM raphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","M #231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE"M ,"#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.lengM th;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjeM ctURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hidM e(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResM ultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,M 40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([M c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visM ual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,windowM .$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.pM ush(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.lengtM h;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.puM sh(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e]M .length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/M 30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(newM Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].lM ength;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==CM e[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0)M ;un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(2M 55),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER)M ,je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function drawM (){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;M o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(eM ,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*leM ),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&M Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,widtM h/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${MathM .ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENM TER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+M '"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(M l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(M width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 YeM ar":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){conM st n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fiM ll(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dM n=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);forM (let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),aM .drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),eM .text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.positM ion(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm inM the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intellM igent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toStriM ng();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982"M ,4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["AdventurM e",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden LaM yers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b44MF 87d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b4843a52aa73ff1","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_31", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.0078M 4313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 9, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 9, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 7, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 7, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "relu"}}, {"class_name": "Dense", "config": {"M units": 2, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "kj3UvdOtqD0lOwS9Y1XvvFlt3zsfp4a9bwjVvA47yL3dN8q8SuumvaGVKz3NC1W9qIdNPchKub12cma9SntZvStvS71vk/+7aXK4vYrMRb24cEI9lEo3vUYp/DyDcrU7YWqOPAgmsbwy4Iw95oGUvaeYwzuc1oC9nnCHvJqD6jtI51G9zfMQPb+VHr1d7Ry8AeDkvUTQOr1aIUW9chWxPTpd5r2VWNW8sZYRvc0tAL1+NEg8A4+8vfJ40rzFSBc9y8OKvVpqSD0g4Cq9F2TuPPIDhr0mmak9yneJvDeoOL2QEoi9ZwQIPb+lpTyQfbe9pCyM 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 EB7M9MUsSPY7f1bz+CU69vJX1vNZcjzyY6yC8y+qBPHi28DypMG280ByTPNf+LTtbu6S80OTBPdNH7L2ppbs8EurhPJrSJjx9RIq9KJU5PbKYFr3zA8E83RbmveStcj1KIIE9iYcDO+vshTzG8SM9GboavXCwPj0VuS29WFl9PN5Ghj2dj0S8E4ZtPbIxeLw4c3I92babvKo2uL0fYJa9Sy4jPj1yO72rkVU79ZENvQLUgD21yE29Xhs5vaz5Ubx+Mjq8NbDuvbW3NT3D/EI8W36lvNs2QT2SfUA9t/Iuu0oT3zwewcK9XOeDvdn8gD3CE7y9UKESPbFEN72lKZ082j89vbpczryotjy94s/aPUyP4L2ZZcS7IlxpveUwUbzEqwa9JLemPL31JDvOzXM7A8KhvW/3cj2WaF49coY6vM4K6jzHK1s9tWO0PHwYIr3I6NS8llQVvGluiz1WXRG+yPGMu3EDdjwerQE9FHasvZ87pLy+V8S8+UwjPtOhsb3CL4m9WcGM 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 VvbjrD71Tlr69xt+pvSNr1bzHIee9bzFnvIpF6LsY4jk9sVGzvQWOd71MPAa8sRgqPr93A77jvPK909WEvWbueb3+uDE9v2rLvSpfvL06cqw8vXu0vb0WMr0FtG88IpmrvQ4B5r2Xa5E9DYiWvSEX8zxBoEu9lA2svT8wcLxNZT++zMNfPBu8ib3O7eC5QlnivbkrHL1BvK28+FMNPhMwIb7iYt69A0gCvnp4Ab0ygUk9t4K6vQQyZb3GHrY9Wyi4vSUmB71QwY29DqXGvVP6n7wc/7s9WPg7PI3HSL1Xc8i9MxhgvVlTKDyE/sS9u9Y+vd5vKrz66Us9UmlYvWlHm71IDJi94cEuPgNnmr375le90i+vvdIhWb2ySHA9o++avRXAsbxQ/K88fcn2vTpH6jx9kz27X7UrvfVKSb0In/g9vXkcPTv8qTw+zmK937exvXxSiT1pjA2+I04WvHQ/qLxJX409dAjNvD3O3rz9JX69FtEaPkFK6b3Nqe29WEJ6vfNdYz1M 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 VSgQ+s1BkvWCTiLwrSSq9BX6YvcWOIDzIHtq9c8gcvfbHor17poU9b3nNvTtZhr3ApNK8bNgPPpYO5r3MdYK9SEfDvfUxVr0P+P485OK1vRiqvL2H6YU7RhsCvoIxkrzUBpe7bA2KO/zX8L0WAvI9hb5hvX3M0zxWjcy8EV9rvYmr87wE4bO9SHBHuyBenb2HJYI8HikIvmxOmr0/0yW9a0YvPm7zrL3ePge+bLervWHx070GsY27Os/Cvdx5Lr1JDEM9ENuWvYVHHTyVJ4m9BvmPvSrhib072j89VfSbvXoSzTxchue9Fr0HvZQmDj3a1ny93rwRO6eyfrxd3/U8UrB0vcXw6bxGdke9GxUWPoW/Bb748TC9VKqkvWxMN70L8xc9WnwTOkc0BL15RJc88+cpvgi6JL2CNcg8i26DOQaHpb1NMN89oxhfPf+UAzsmJJm9A2efvRO8kD2iVYe9YHYiPcWuD72/4ac8UKFwvBYLNru2Maa9fyrkPQ5R9718HH29+eqM 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 2QSi91ppsvaD1ebuVQxy+dQSBvLlA6byxRO27bebCvRsSCzzhEJa8lBsaPsfOwb2yALS9oGyOveAJkDuNxSA7scqOvTKtPL2ck6o84YT3vX7us70wcnk7IA96vbzRtDuZvxI+V2KoPEZaZrupNE+9zI+tvZXrxDyT2QO+PTKpO9Rw8jzUWkM9ZemPPSk+Jr2teZy9gV61PZIQ770uP5E8g44XPSZViz0eHaG8T4jhvOBDvrzBVpo8Xa3svRanljxY3k09Zh6ePU0qBz05gaY9g15CPeuv/DxWA8S9ZAMLPFmtT7tlz7W9xD7Zun6qLj134uW8Dxg6PZd7Db0DmVm9ecH5PSM69b2ODqk8wP+ePPZEZj3u2b29xOq8Peqm5LzlGIY998vuvbqz07oIqpw8dO12PeutsTyEgJs8iJ0kvcHFXzwzUiS9mKMevTeZUDtQqpa9VufZPN9oPj1RgXS94MMwujXMSr1KUeq8ypQaPtuqW71Mwaq8lRUMvP7znD3GgA+9xO5M 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 Xtq096yv+vYfBOb0PUsE8Z7srvQv3XrymmuU9A+EOOzr/wzyEP9295WudvXb2hTstUMu9x1jNOq+yxr1Q8YA9U7gEvjdnar01M1o855kXPnqM+729cO29V/ZYvbQdAjtBIOk8M3UKvTXxB71wdfm7/ZDWvew9kr3mP208ReY8veTSuL2r/dg9XS2bvXN8SLoHcwG+7RyTvMvkDj2sM5O9cJ5fPPgbl70B58e8zXepvVDCpr2cYUe9WbrsPVp2Dr44Wg6+kEGNvS0/F7wCXxC9bKA+vbtToL3Cql48cxUPvpA9er3Pcpq8YxrrvAO3or3LEbM96f51PLGEK70kwbm9kDadvZCNzDx8o6m9wIu0vFoPobyuV0K9Sx6OvVvY1rwfuG27UQEMPtyky70Ue5y9d7h+vd9iPbtqQjQ83z38vANOCT1u4ta8W88Fvv8yQ73XFim8SceEPCyAQL1YESQ9hfEAPV4NTzs0Z/O9l1eNve/a6Dte2S2+sbEGvafTpLwPVL+8V/gM 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 2ePA9rBunPfUfbL3jHlu9fWCOPIqMQjymWu08gaWSPZdZlzxLOwG9krNDvXEVZL3tXRQ9l6C2PZKzujwmim48gPv3PSu5lr0woJC8KhO1u3G27ryJvyk8lFkhPVOIgD0DeoC9VQm3Pff3o71S4J09LppEPei2dL14im69RiPRvOiQ67s4YRQ8XH59PVpwCD0gzR499qymva6VqDzDEsg8A7CsPfDd27zARQm8UoP5PcczeDtFp5c9LpA/vA3lrL0pH3k9r6cSPXdYyD2Jzfs7s6HKPCZn2b1nEIA9gN1+PZY+ej27mWS99AJovWMTmjwkV9c8nMciu0dM0zzdgZA9RGxhvJt60jxESD49NZeqvOFE0Dy6bLA8xmRfPMFvTrwtMe88D1IAvIZcn7n3aTA9q45tO3oxfj0Vo4o9PzK5vP42F7617iA+IS3EPRhEpT0LEPW8AI0tvRPHbD2ogJE9GnusvTfdJL3uZrk9k6snvJKIAD1VvIg9DCLmu6BLQT1w+jG9YNvM 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 N4re9fFBKPK+T2zw4iFK8Y/y9PZhQKT16Cws9XhP/PMJ9fT3rAkW9+BmyPQT8gD3whwG9wOaaPHVhzT3Gris9gENmPZKLSz0GeTe8UzFIPVFXGj1zZDE9dHIfO9GFnT1wWk89QLFSPVKf+LshEYm9r+OHvRq5hrxb2BE9L/tLPZa6hz10AO08ckKsOu3MlLwHEOY8GO+yPFTjyrtA78M7WYfqu/E2/TzrYUe8PLYFPaC0GD2MjiI9l4YTOhLkJD1mYCM9IifVPWgpxj1jZcU8o2efvNKxJD32G4e9rXvRvKlvMzz3/aI8SzgEvAJNJru6NAg8UNW7ve6TsTqVJSc9IEyfPT1o2jy5FGG8txDSvSFxmzxaa4M9Asi4vQKSND1peoE9tw3RPDN54zxXOZm7ogF1Ol3RszzFwRQ9wDHFvWnQvry2+pS94eosvSECAz12dr+9QfkTPBWMgzsnHnq7hRWlvBNjfb0sLdA8hZS+PeZ2ljyJfcy8y77HvaqmFL0OFpS7lyYM 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 bHEY9vBONPTT8HTx7rSK9kOP2vA/nozzgkxQ9BWMDPkKEPD3+Fes6hIvtO4ZZsjzX5F+9MFv4PAMDCjwqssu8KQVPPBcsDT0RZVE8ow8nvMQFOT0dzqO8FoA5u+fH5ztl+8g9mbzwPRetRz2qyAk9+vbQvcyNwj0SeyS+CQWRvftykT3JA/O890LFPA4tWT20Z3+8N2RJvdgfHb1vDcE8a3cCPi4bw7gI73C9WnWavL2GST3Mp708V05xva8wIz2K/wy7hnhDvcBLaT0ALqk9DPQdvd7gAb2VmLk94PYNvm3cYLtfvZy95rFVvZgrvz2Q39m94xi8valAor1bhja95241vvIZo70Zhjo9krQEPjljLz2gQAa+fvLgvQGzob2lcuo8+KuEvf+MmLyOu/I984ltugngrzwDM1+9eJBpvTMnIb3tcjE4XLKfvIuEvjwLAZe9iA5zvcOObj0QWIu9i6ZOPcg82Dx2cKO9JLFBOxBXg71+Cqm9p9PZPBFgyb0ddyq9+9XM 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 vEY67w4XKvObErj3K8n+9ci5LvToCWrqC31c7sJeWPQ99hL1R1Z28MSyJPW0Cfr3wh4U6X1IJvYcj4D2KKqi9qv2RPUocxbtqkSQ9ZuCOvRoBwjsXUHs9VOG3PXpuTT2/9CM9TZfUvXW8gDwjw7+7/8ocve6B4zwN/ay9EUB8vf1VF7w7vu88y9IDvkD4Mr1j2wM9c1AfPjK6cD0zKxg8gkgBvvOCZbuxKnO7F0HVvd0cHj39Wus8393qOtyqpT06rpE9NRnCvTtwhL0l/bc9c55/u8548D3kF5W9d1VfuwOkn7xzb8Y92sc9vMwvQjynTVO9CEZ+PQSHXT3BBYm9w0yjPZOJcL2E7Fo9capbvLpGlTwEPpa9stntO+zGlT3VdZ48RbN8PCEIGj1Vkzo9ukiwvIPDDT09jUs9tDR0PSpWUT2tID29Gac3vb4ejr3wjqg7EzxEPBTEibztij29IUytPXafQ7wlFsW9l9oHvh6KYLyD2Ou7kFNPPJHxe72MQiA9G4GM 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 G6GA9To7BvdeZj73SuiI94odRPWI0kj03zAi826H+vR4Lcr1mXSQ85wYnvajDnL2eamo9iBB+PeaRbD3fMiU9E83svePyYL2rbE+9kgjpvb/hpbxQUh49ISHSPP904j1HANI7xdbAvQ94Rb3XpVs8B8CLPe868T2JjRO+z/1evAe7Qr1qKN89w/QFPQlJvj26dFO9CddIO1xixzx5xA690myUvLo+xL3J3CA9j7hGvXwg67z/0vO9sNQcvUBY1D0vDjG9SXUIPUoysbuFxzI8VD2NvO3ANzw8XBg9ilx9PXje1j36Jvy8zbFxvfEeob2UaMQ91hAVveLGOL1tlTS9nt6YPQHImz0UGay9lgbFva3BOr1sRv08qT88PII/R71WESQ8oMlmPXrXnT12k6G8jLB+vNa4TL2Jw3S8NhswPVUAZr2QTyK8i/X5vZ1LCL4LhfU8yBp3vc5XZL1RZry7MFJDvTzOlr0h7Lq90naKve82jr1F/eE8jJRYvenH2zsrdFW9Jv2M 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 7jZE9CYtzPbgsg7z6lzK9shAfPqSoZz6MtTc9KBUIvqKmYb21kcU9UvpZPpEhjz3Fz0m95R61PZeVTj7D1Z68OsanO7ch/btNTD48wPIEPjEzfT3LTQG+YxETvW/Ws70B/nq92bGWvUhYGT1Chgc9rxH8uk+6FT2aLhS+Q3zJveLISDwCZ7M92THpPBTXhj2m+rE84bL5PI65Xj3C4qm9C+ICvr8lRz0ekoY9iAfeO5Xwvrt9MPc8slX6vHg6QL2oG2S9oCSQvU3jSz0DUdm9WGEQvK3Mdb1n4q49cG4PvbG9KT3aw8G9XFRavUwEjj3xqTu9pyUdPdAnQb1R4/+8R4xwPdStNr0bmrq9QMOkvczn7j256787oXWWPFrjtzykVIs8G3uOvYPrrr1ImLa9ADlAPIQ/3jw0rc69ItUhPU7a7zyAGgA+vdpsPLklJbwT3FA8HgpcPf3bSz34EAs9J2mRPXN8Wz3q/BY9VpO5vGbTYDwImTo9khFDvYa+Aj6carE8HwLM 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 IvaW5Kr2rRRm90ueyvBOnE71+U4c9hMAPvv9F1T0Bnz48PrAFvL7Ztb0oMiu+TgtKvgMqWr6Lq009l+iJPbGd0b2Btu09aX8ZPVZpajwueao9nGJsvLlT2T2pjQk+d2LPPW54Jj6nITc9Rc6/POQBuT3Pvq09zdXbPWiPKT1sNfU9oXwpPd//Jj5rNAg9jkMmPTJenzzwB9k7O68OvWnCib2Iu588JzuNPalMfL1zex0+IKGuPA4kKr1Z/uE9tw1uPbOOxz0cdR89h30LPpdMLj76uNY9eeiIPLSIvT2JaII9KmAlPkn1Oj7XLue7rvDCPah3eT4+F7c8h00uO5x16TwBeDs8QtKvPVfMSj1/Gfy8AXiFPbMdjL3HayG9Hyq3vFvWIL6PkmY9pVhpPRIviL35yx29ULJGPYQJzT11NH47MTCWvQevXL1v2dE9bZ0GPpd/8zxLuqy9P02vPUfoND66Kyg8AR80vZRVRb0B/oQ9ffkDPb0217y3rr+9BIVnvW+3B74M 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 fcLq9fH5mvGJ1qDxtC4s8K3W9PckbSrzcFXU9UrCxPMdWET6YaPy90YDrvMjCe72MASA9v/7fvHqvgj0L5Lk7wQ6FPcexzjuUl/88raRRPMQUjr3Xy2E9D9kqO8Gj+jxaOyG9RQxHvKYqWD07H0a9aYeBPTHAqDwr5U29nHgEvKBVR71zWoq7ym2uvOMPOj229728hC1YPZXbEDwYuD29P97BvbUXpL0T7jq9EOWkPT2Evr3b+DA6LwqLPWIBi72slYE8jB74vOKqDT3taRO9rcGuvI/NnTwJ4pg8EijGPV+dID2XZpe8mWVsPazinDtIy568mF/hvCZKmT1y9zq9xGz7PXZCrD0ukca8CP0EvRRmo730Syo9pdnLPeWvK71JxMW8SLxaPXoWBL2NMpU9K+9JvDoamjz8qvy8Ls4wvKANsjsiWuO6y0NEPdMgd7ysGKG9H8mYuyHzaL2L1Zk7ll6uvAFSlDqmh1m92T3zPPtIYj0pasa9Dq+hOekFWr0jxwy9MrPM 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 3vBaRQj6AmkM+XXTwPNisHD59OcS9zlKfPW1Npj2XbTM9AzY3vdfO6T3ZI0I+EZWTPr6a7z0w33++PvxZPGZUUD6ZsdU8iuOWvRGfpz2wi0A+Uoa/PR+uCT48hYa+r2FcPZeiL71swvE705DovXFWzDtD6iI+430JPAGbojxSKcC9wX+OPbswCj2ROsS9Jh0LvrlumDvWmi8++ZLxPeE+gzvHycS9x8vlPGgRET5Aez08GgiOvaaCmr2eUtQ8bNu+vH3p2b1w4hm9aD01vXhxlDyovKS8wBydvTClIb3zbnc7fKLIvan5Ab5LZyC9TW0GviRWZj3LjJO9IfGavdXMkr0YpeS8eOhrvRBDLr6G8I499NTXvblTTT1roSI9cjDHO/IG8bzSgP29Pr1yviwRWL7Kldc9zp2dvV7w97xmhPq8tI0Cvn9r9b1Rdbq8kLY6vZM9nb07zLW85SGRvZtryzzSvK+97XnIvAHLw70DnT87OoTSvcYW3r3yiVI9uIAjvlRAuz1M 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 tPK3yR70IPEi9MVZqvKgrT73r4su9IyoyvQl0LL4Xhpm9Aw8DPTf9rr2FpwA8SfN7vJhR3Dxi4PG8G9cRO24qjb26boa8V2UQvVSSDb5sC988t7YdPaCrrjpe91S9O5IwPcikK7zmMsm9gk6XPNkgzr2s2xY7WwJnvS3uzb04yVm8MF6/PJxMqb3Ifgu+IvaWvJqu6b2wYLw9sdkGvDaLfjtOYz29uczFvVkt3rz2Woy9C3C+vXJmqr1Uizs9x/AFPax5ZrvZZBM8vx8Wvdd3bb2F0nO8eOrCPN09pb0zhE49mD78vHrrkL1wSy89ARS2vH7Brr2TdbW96SVnvT81nr3w4b89fM8JPMAGpD0jv4+9GzOdvFx+vjwn/Jg8i8OGPdjHHD1GqyU974H+PcPvaz0I6fa8+bFnPCMWgb3Yi0k8pCISPru2Tb0YXTQ9LkqJvBWn8r17SaE8QXtsPUyh3Txp+tS9ekW2PNKt9zpm3RE9rvnAPAAsJTw7Aoo83A22PSB4Pj0M 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 yvcdqBr04AX09aaMRPRF5CDyGfoa98MTmvGfCIb2PIh29/OaVPbc8RbxfGR29gIyFPW6WUj1j/229tFvaO4Xjejo/8dc8ChDFPTxgQ73bLNg8MCKOPVwJg70I6Yq8KjzsPHX8yLyAlL29CZnYPEKL7DxpO0c9X+yrPTEauz2ftBW8yJifvB4vp7x8fnc8kAHZPNdcST3FbpI7apMIPi/0Zj1jpKC8fpnnOz15Hr3CTLY984rfPerxjLtSixs90VqDPcY8E70HqSY9p1dePe8XID1J1wa9HDd1PBt2iT14XK+8DIsHPLUSxzyp3gO958UwPXJFcz0cDhQ9aS66PT8m5D2ahOC88tpEPeQ2VDtX/oO9T3KjvFtVHT3IQMA9sOafPYej+TyN9Ru8rjc7PaDxYDv5RYI9vyyfvMoNLz3vTDW9MJgIPFjFZj08wqG92XK6PGtFj7w9OQY9ag4UPc9Jwj2G0qk7R2yBPQVpKD4os4S9/7maPW5/gztqVSo8nGuRvCm1vDxM 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 FvowE3D75Jww/6HirPvoGDj8jZQS/VX0Xv0ieM7740Qq/1YVovuLvur0z1t6+Zdy+PRUjmzy/kgk+3iIXPPwG7r1ixle+XvW3PV4Ddr3YgyA+UHIQvcL0I75MLq08GPhSPQKgozt0JUo/7rDpvU9YL75ZJk09jv7zvr0cX73TOD4/a2DmvBFNhT5RYxe+VNXJvqvL0b5B7pI+mrGyPhSkjb4spd6+O9IKPaM/xz7a7EA9Vi0kv7o7uD7CRBS/b8n6PuBtK79YEsY+wjfkvth9Pz/VjBC+wvkFPqNhh77M/g4/uLfDPtTecz7XXQW/K76lPD9nwT7mr4s96HV7OM/mWr4wA3o95lWsvhEWLz5fpeY+igHnPvGVCD8k8129OtHhPK+Mt73JQP+9PZvWvHvXDj7f7ke8gsU+vV2Yfr4ee9S+n5mKPsz3Rr71Rc+93t/dvSuWYT4EPy2/NjQCPnzmjb7Xr86+EcUgvou3KD8mYQG+cNZ/PLCW7D7ErnQ/hqgVPyXIiL7M 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 hvzsZqb9OxbC/HJFOv+Uk/T8=", "training_traits": {"structure_gen": "Triangle", "n_layers": 8, "max_nodes": 9, "activation_func": "ReLU", "epoch_num": 6}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new DaM te(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60M ,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.rounM d(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.M forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShaM pe(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;vaM r c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*M i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius(M );(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.liM nes){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90M .199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,46M 4.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStrokeM (),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.M bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,10M 3.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5M ,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,4M 42.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.beM zierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7M ,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277M .5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,M 55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56M .5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,18M 3.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,8M 0.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243M ,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,M 216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9M ),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.M bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertM ex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertM ex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,1M 83),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4M ,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444M .2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4M ,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),M e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,22M 8.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130M .299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206M .299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,4M 27.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertexM (340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.beM zierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,43M 6.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezM ierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,3M 83.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}funcM tion L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){constM i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoM id=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"objM ect"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(letM r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeM urons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[M 0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayerM .forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_nM ame){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.geM tFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",M this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.eM lt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this.M _pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropM ertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addM EventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{ifM (r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",M (function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function rM e(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xM ml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function()M {addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="32";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,anM ,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn()M ,await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104M da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#5M 90e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]M );pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e)M {for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(XeM ),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn()M ,tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,heighM t/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.locaM tion.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_M num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCountM =sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].lengtM h>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<CM e.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,NeM =map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}fuM nction $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);foM r(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(PeM ,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;M i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*feM ;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=M ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMM ode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER)M ,ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn())M ,qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1M ,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+M =ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have M a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100M *le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(M Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peaM k performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*leM ,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/oM .textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(fM ,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.reM ct(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 WeekM ":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*lM e:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-M 252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),M Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}M for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlphaM =l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fillM (0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClickedM (o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?M i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now anM old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString(M );return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002M ",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/M 14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":eM .training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha5M 12-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b489e4dca50cacc","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_562", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 3, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 3, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "+cNoPPAcBz1goMc8vANFPeQzKzpY2UU9EGqYPbP1BDyTHyA99t9uPfMVpT3xgxM 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 U9fsEDvcmDoj2ybJu8Cl2LPJlXbj3zayi9htiXvAI5zz3kQiq92QMovXF7O7ySpKS8s3I6vb4Ehj3R74o8u1uJvId4hz22AAY9pwUTvfXAgT3T8hK8IAJGPRlltT2bbFc9ND03PMmu6zztbyg9RcuZPDKMUz1+P348LiItPZlBpjytKZ49BGxUPfmunjwPUwK93716vIflWLz5H6M89vt+PBdXPT0wgAQ9rIvhPBYSFDvj7B09F1Wbu9f1eT3OwzA8GQwHPBOalj0C30u8Ar6UPeA9JT3ShJ66rFGqPM6zgrz9vrw8Z5tBvW91gD0qdL48oPkPPZZqkD2fAmM8hngGvICigD3O2f47t2BDPKE3ST2oUui70yD9vK45zj3cdQa9bSHCPNDE6jyRUQ87e8pivVVEdjzd3hQ87X0iPNAmZD0NHle9Gc71O8tzQz1VLzI9UGMmvICkgzz/N009qMOAO1LZLD1+aAI9leDKu0Y5OD1EVyY9Pvk6vR2ztz3Z7gQ96AIoPKM 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 k9n60YPTszoD0LyYU99nUvOxdZmbvK2xo9zRedPDL8oLtZ1U89r71MOiYgIzxwggM9ttPtvNy10jx2GQA9yh3OvI44Rj2Mj8Q97GHlPPjONzsAV6M9gyJkPMUiez2csqY9hMcEvdLNqT26OLI9fMkUPfxZUj2uurY8Uj7ZvCebg7ziUJc8bn/FvDvCYz0VAA09aOg3PcjmmT2O2N08Rk6zPLaUgLy4/MY9eNTnuy1w6TwF9jM9180IOwpo+T2EbjQ9ub8EvYRWzrss2VY7zrJBvaoQNT3RDlo9zVElPSIMxj0FzQ09Atg2vRvCBTwkjYc9QuckvYGThj1rxGs9pup1u8HD7T1dPTI96ugVvSYD6rs8hwG9N/nju/1MsT1ylYY9eDbIPFJuoDzA2wy8mJ7+PH30zbv6lwm7FEDvPEjatjw2/767/gGYu3akgTy4ewA8oHs6PNJOXz2IanQ8k09KPE/ODz2dI6w8JB2MPWWjXz0DJKu8M6UPPXnNAT3NW6+8TVM7vBM 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 m9PL8Rvr4UrzrHhWW94nULvjrM8zwG5Te9LNK6vfKCzDybXGK9A5oPvsHEHzw3txi960uivKKOjD1ux2I8grEuvbIl77wgXbu8SJGRvSJ6Cr1MtwS9IKMkPSELKb1DM588QhbmPMyjE72pb4a9knVAvX0CaL1QeH+8+BrXu6VUXr2AsaG8zA9vPcXmb7xTEFK9Rw7dPI3/3LstwoG9B7EZPfSWgb1gTUm9aVmqPYb1hr0tHqW97QGvPVPZeL2S7ZG96YHSPYRcpb1czIO97dcxPU5i7b30miq9N77RPD1/fL0XYCm9HBWOPYn4372k5yG9qcx6PRBBDr72sra9EdJRPQ643b3Bk4u9RYKcPSC8fb0yqr29k/sNPgDBMb4vCK69q/2iPCeq572D75W9BGSFPcm9tb33AWq97XaAPcQn5r3f+4+9tNR1PemWxL01wJu9di2NPZAuiL0wI5u92QjKPdhk5r1GrOy96fO5PcRs5r2vw9C9tlysPbxSFr7hV4+7+PHLPcM 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 tXBb5FQ96+WY/dvpaFlj4genc/sJAtv809rb7fhjO/BefqvklhnT4kiNE+rF81PlQThz7zQkg/3r9cP50Xgb6r5wA+ukWEPxFNkLvJfP2+jY0Jv9nGGT/XEJa/vWBBP6A3jj+Fr00/2oAzPg6Fpb8RAGQ/EP/NPkn0mD7RdQO+iE4Uvw==", "training_traits": {"structure_gen": "Symmetric", "n_layers": 4, "max_nodes": 6, "activation_func": "LeakyReLU", "epoch_num": 4}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,M t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;letM r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),thisM .nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:thM is.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1M ));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.ceM nter,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.lengthM ;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2M e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.upM date(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(M 215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194M .3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.M 5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8)M ,e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,1M 64.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(M 316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,M 435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66M .4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45M .8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(43M 8.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.M 3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199M ,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(1M 69.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.1M 99),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.M 599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113M .499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,19M 4,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVerM tex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezM ierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,3M 29.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,37M 1.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezieM rVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,M 434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,M 473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVeM rtex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(19M 7.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180M .099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezieM rVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.69M 9,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVM ertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8)M ,e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2M ,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199M ,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezieM rVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function DM (e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;rM eturn new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}cM opy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__applM y_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.mM ;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),thM is.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(thisM .totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayM ers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else iM f("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArraM yBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!=M =arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instaM nceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=thM is.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.eltM .style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){rM eturn!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.tarM get.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;reM turn n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttributM e("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("appM lication/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.M DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="563";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,AM t=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=cM reateGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}functiM on Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cM c313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","M #ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.M addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.M map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=bM r("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On(M ))}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettiM ngButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vM t.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artM workName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.mapM ((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++M ){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let M e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTopM :ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length)M ;ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}M `,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=cM eil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*aeM )/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}fuM nction Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.reM ctMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.stM rokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0M ,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=mM ap(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e)M {We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.M elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive thiM s image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*leM ,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.cM eil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(wiM dth/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>3M 0){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.M length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}funcM tion ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("PM erceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXM T STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATEM "),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),M je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let iM =[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,iM ,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(aM ),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0M ),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=M n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach M adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){consM t t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7]M ,["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["LevM el 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:M e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorM <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b481b440c7aa240","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> "!&+7/&)4)!"0A149;>>>%.DIC<H7=>; ;("(;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; "!&+7/&)4)!"0A149;>>>%.DIC<H7=>; ;("(;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 1d/Foundry USA Pool #dropgold/ xxxxxxxxxxxxxxxxxxxx[ text/plain;charset=utf-8 ({"p":"sns","op":"reg","name":";-).sats"}h! text/plain;charset=utf-8 5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h! text/plain;charset=utf-8 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_522", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 9, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 8, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "h6AiPP3BU7wrJGu9PLI+vQ3cLDzYG4w8HQwnvGO6RbtxF149eBr2vCHBmzzet8U8mK9kvfgYo7z4OFa9Uqk+uzwJWz2Q7ro8EohaPKeSkrwlhZw8ntv8O3nJ9TtOAlI84J2fvH0Psr1cchc9MIqRPcB5Ur2p5tW7bXw0vUgmar0JCMq8tiXDvIiYzTxndei8tK9OveO5gD0XPlU95YhcvH9VgL1C24e9/6AjM 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 iB28v/eovSpJ1rxNFzu9qUNwPTM7PT0kamC9kQqiPJC5vz384Mg8ePd6O57ULL2bt1M99nVKvYkz8DyRkeU9DYxtu5ZRYr039989uCaDPCIcPb3M1826jBDkPKcm0rzh/jq9BRMAPTSFGDw/FRk9sR/PvUo0nzzq1h482wwtvFQUkTyZgWm9rA5APTPYSj1FOoY99hskPRF0eLqG3OW8umwXPHp0Wz39gtk9BYBUPYvX0b1qLHw848WZOhK1nL2AVD283qGGOodcTDx8pOy8cEfwvF4vIzxhMPY8bFvqvX0WPjxkeAS8G6qxPae+5zxa4bK9UicWPRETUj13LYU9WJv1umU8pbm60k08i9gdvS29CD3OaRA96c4EPcZxzb1o+k09+/D/vNCfEL0hW/88T0yqPY86m7wdgIg8bHslPTRsbzxh5ci8kp0rvX2uqTsoWEm9XCsuPISSTbtRobq9Z58vPDIZFT2feS49117eO3jGdTzsJsU8p5JlvXvKAT2rU5Q9ZkReM 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 PGPGmr0zE4e9flogPTsaVr1Y3mg8D+fxvdrKkrxo+QQ840veu/8niDzdV8y9QK5aPJt0oD3WLik90WUovXrNZzzc8hK8IK4RvULLlTwDEZA9Kg6CPTJwjr0flXM9AaFBPcUUP7w8Lgo7TNtPPZMdRbwPtAI9RTAbvQYGi71R0Si9EhPtvWmIHb1N3Ow5uZ1tPXH/yryCbqq9HjsjPJK4lD0LpUA85LC3PO3VKrxDQT49Hdc0vfu+hDsPA2w90G27PLnOnL1jw2+7kBgvPU9eHb1S68M7nZQpPLlpcb0tweo8LaOAvMo+ojwDK3g7/KKkvVaJG72N50M9/q4kvajiiTyjDee7sjKUPNWIyjw78fi88BQMPRUhT7v6KSw9Vje9ve1glzwseLw93LQPvGUaXr3Sh4M8o6PTuwfMybs2sBg7lwHePJh8cb1/bQM5ZvIRPfnuZbxBQwq9udLRvL+IJT1I67K8X2xUPdqobr030Gi9TUhGPHjl1T0NVGw98JZmPSASEz3fM au88uTA5vKPLX7wKcUM9SrVaPRXRVb3C3d488BB2PWPMYb3Tt6887CnkvPvoP733MFs8euMtPAoii7yGVpE9ARuTu63f3Dw1YNw7U2/YPI81jL2d7hG9303dPD5S/T0wc/Q8/+kyPT70pTsQOZc9oG2LvS85Dr38WcY9nT0VPPwopb27t+A8B+pPPCt/tjw2SPK8If+9vPxLWb1M75q9W00uPZfxZ726bxo9wUAbva8XQL3S4ra8CPJfPPbBFruDQbi8j9b/PN6AXT1qQEo9NnjHO6VZS70xyKO7ycs3vM9O6jsEbT09p5hXPP5Hdr31RGU9nNQCPbBJFTwfSpU8c1I1PZQLKb3uQoK9I6NUvQE2Fb3ZgQI9bAnEvW8OALrkg0I9tA8jPe0GPrx73yK97YDBuXQrnz1ml5G8KkJwvPeNMz1MkCE9/N6hvRMEpLwDjEo8uA4XPSl+172obHU9qHbSu0OFkryDhes8LBlkPBYVK72F3PY8Yv8OvQ97IDxuOJo7MQ0+M 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 Pa877rx+vqE9gWssvcZlHb30aQm8wkfFvKPFnr1I5Di9TZBlPW7FCz42rZo9KqMFPdeIGbxJID295rJcvWcZSLxZB+Y9jFzUPZo+17x8BvY9VgmFPTa10DyEJ5S6fCQ5PXATn729vwi9/mk3Ox02dTy+Slo9K3TAvaOH5Dm9kmm9TSRnvLHqib1xKpS9PQrkPM5jiT3wn5I9UdwLPVY54bzqIEm9+tKkva+s2Lwdd7s9W5NkPO4HdL3hPNY9Ln3ovFgGxzw0f/u8klYMveJR8LyMlTA9DyBxO8dvDTwtiV08movIva+WQL0MGGw7TJ06PO4gnLx84X68nl23PM6gvT354bA9nX3mu2l0Kz3s/j0772aavehDubyX9iw9tZ5dPM4JSL145iQ9ZJ4iPVXjxrval1Q9m8uuPOrLY71zRbo85Ay8vLjXrTwWtNG8DOrBvdm5Grx/BFs9bx3gvBpZxLyNski70mwxO/TRpD1cuaU803ECPblFxDq6bUI7i43zvG/4IbusM 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 vc7leT3SpLq8U3LAPEpaizzoSjw9/6hrvLsLijwbZ4g999OUu0hkRLyhnVg9wgilPJnGiLvMcF085Sf3vH68G72JEzc8ViHAvLA8CTwg4q28pcPevGdJIL3VSkQ9FcMLvVsqhbyLB5i9yKO/PDHn0zxsWim8kY8APf2o27xIu+87ylGMvU8SpT13wZA9wNznvJonx7s+kw09uL2sPM2FG7tO/p49oa8tvCDFF70pv4m9EAFSvZr3hrwsF/C8KbFmvXWhMr1WnKA8bZl4PS9nIb0NLA69ePuDPbZPlz3fCMk8q/Q3PPnNjb2N+x49sACNvaFJOrwsTQm7QgsivD4Axr0x8Ym8eLrqOziJpjy28Tm9qi3QvKh4YzwtlWo84IGqPFETGbzCZ5M7YlzTvcIm/Lz3jVw813M+PRpwZLwXqze9DKcIvM+8oD0vv4A97SICPMy3Zr30nii9d+QJvHejnjyAsS09OMI6O2UrUL26Smo9cp+hvD58Kbygmjs8NvL3PLjdp71kM 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 uwRYHT2PPAI9fZr5PIWIeb1h2tw9tDcjPPjEDLzqTp08Q3dePbdca71jevw8FuLbvANEHr0Wmqs8kyErvRqbRL1yKnE90UcNvPegjr3ann+9DhqIPX5xwT02bPc7ifjJO0SEO707upq8CtKKvRwNJT04pYQ9QzBKPagat71saIk9ZgC7PH1fEryEFjo8rW3TvHrodb09gPS81yVqPOMN4DtBY149CFWOveOmcb0IH3A8RqRMPAtnb7388FW8ESl3PW5Y4T0D6sQ9lRN6vPeGt7xU1xS9o61XvRTxtLxdAfA9EhNfPZ5mKb1DVPA93PoqPYU/BD3Cfwc98C8RvE1y/rxyuXq9rezovPYThbsPNWA8oa2ove+vLbyZwiy93zZAO780GjvQsrm9nq1jPTQ63T34pCQ96UhxPf7yPT3kAoM89lg7vQhpJ73sUoA9h9eLPFdNp7lwfwI+LEgLPbzGbLuIyS68zBcTvSMHPr06UNY7J8QaPbE7IDz39QI9Tn1ZvVJheD0TM 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 ylK9BA0mPusTVr1eiQ+8jf8VPHzGPTySc/o8SAeUvI6m8TuhDmI6ZUzluuGjEr1Jkz49EXKJvfEJUjvp5T69pRAUvbR/+7wecNw6vL/JPUy8l7zzXuQ7+MASPBGUrT28/T48evB+vXnNy7xG64G7ecOjPdEewruikKI9afekvD5QCT2ac+O7c0WJvUzlD71rl4k8XxxevKUcA73QmjQ910iaPNvXoT31UpY8iyqGva58ozv1N7m851qwPeBvDDojKjW8ynfRPI5Jlz374kQ9BDmmvEa547wzkH28zoQLPNkyo7u+HbM92Mc1vTOK+jv2ou+4hxYHPUEHbbuvfLI8J1VfvBpSc73rFDk9CI5ZOsdEED3KEoc8R9tIvf6kkru2PUG9+uhzPXzOKL1P3zS8asAMvHtb6T1AREA9Zb4wvNjiTLyJQNq8VR0jvFT9/Lt2lIA9rNMYvZiEZD0nXJw9YupSPIbFLb3tKqG9XseWPNp4rb0lPKO8qrQrPY30KD3IpDo88N2OM 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 PTBk2j0rOA49JWSKvAQPHj393DO99PqGvcOeUTv+oK49eGnCPbyTpLzwEZE9KQNqPXf9Cz0m3TU9hDfjPM+nqrsnDam8cUcpvOnbzzuPVUQ8pMu9vbNPhj113Hm9Wr50vPFIOb3/coG9rW0fPUj+8T1+IdI9V66QPY3lJj2a7Q29ZCRcvcVBar1kD5w9yxM4PUa4gb0YfxY+bBZFOwTxubw7y8O8xxsXvCnPab2a2Lo8YV4dvSNdGbzWbww9lcgBvlLDG70ehTs8ypiMPS5PHT1hJWu9Hriou3QtzD3TpK09yTMpPZlCxzvP1AQ96xolvbfMFz3vaM09nwN5PV1bIL0Lq2I9R8DlPP6LFT17zEE9rnPhPBVkU7wpzVm9KnUcPE/UFDzci1c9hnSfvZQ/DTri5og8URY4PcL16zyrSwm9iKoMParSqD2N/j68GKW2OwJRDL1wKSA82phevApDI7wTl7Q8gw3vu8sylb00Ypg9c2IsPWYWhj3aV9Y82a73PD3/vTujM 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 PWU1X72qQjE9G3LeuSWYaj0cS7U8H4H0PHftZL2xyEi9ZkuxPOv9n7wZE4m96u4BvWRtpj0fn6q7647WPNYmo7yQyEg7a3qJO5RUAjzLRvS8UI7zPJdFFru2bRc9OD7cvH4cyzwOiQo9KQcZvC2xPr3UJAO9m66vvC0Oq7w1Ki08jbZdPIrWIDyNxRI9sGJ/vL9gjbwqagi9zP/BPDCNpDtwIOO8nHX6PStypT1r4xo9sq7PPK8KHr15VTW8lI5DPXQDYjx0g0a9bpbUvLubFb2++fc8ae1iujGgp7xl6QS9RKZNPaLjjTuMlnK9mhKzPe2siDzVoyM9+FKQvbA6oD0Y1L88VYalvNUUS73u3oo876y+PWdA3zyOiTI9PuOSvTOoiLwbUli9iQopPuL+Ab1p12m94p/qO7Uo37uFZUs755W0PJMEgD1+PPM8ak9vPWj+2Twnx5q9cxPGPBSam7x0brA8yE17vELAAD5OyMA5hu2su1KIOr3jcrs9GE78PDZHAz1yM 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 PYf7MzwsIb69VC4hvufIPb28+Y89Asl9vrP4AD6Ll1a9EbtYPWYtKLz2Lfm9RUEGPCGHzr1D+WK93wcZvnV9Aj4eHhc5nbxEPbVywjwkIB++gLmGPJ9e9r1e/la9H5jZvYd3Ej3IPRs9BoDNPVfbOj34ANu9icTzvcpVGL6nDJK99CZ7vPxxzDyCS9q8XwuTvbqp3bzUZaO931IPPWSSar0Z3IO6H5IZPY3YGD1KU6+8K+2gO3c/U72+0FK81nvlO51nRb0K15m9i3bmPN8bpD2HKuS7bHtWPLiqKrwIDsa9md4uvA6qlLzonVq9PhTePRZmOzyreOU8FkCkvQJL0r2SwqI8FWI8POYOtz3cbWE9NC61PeGdibw5fau7SCtKvWRDv71In5c8qo2fvUB2mz08WnM8z6zXPTy1GT3nuJi8luv/vbg4X70XbgI9sBtBPZAMmT1AP7Y8EpWZO+IaxDsEiWo8rI4rPM3FHrx2dM07zuzCvOJaS71rPfm7QUa1vG0PS7wfM 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 Pfg2DD45pNO8WUarvAb4Eb3xTXi8nXsovTkXpzq/F4I9VeSIO+7GCz2NAIw8kzkQvQFAwT22hqU8MF5/Pd8cLbwEQIy8zkh3u6A1AD7Aj1g9xvA/vFEcc7t/4SA9lLztvUf/pjuvHG29Snz8PQXsnD2M4v27cN9gvBwTPr1B8gW9Ue4JvqBnBb3Yv++8KqoEPmA8rjwYMaK8as3wO3cjZryk9ZI8YRqovehnJLxDFyG9UM6CPeBLsT3Qqgi8cM4yvb9XDj2qSFK99ISfvV0DVD2wR569ibe5vRxlzjtAOkI9c+TsvGqVgDwMkti8yCgzOTRytz07eT28RQK8vRi1N73yrxE9VGOcOqEMiz1A7P28szDDvKRNRz0YI4y9P385vfhEfDxLPGw9vWZxvRbgTD0kUp+8JGY/vniv5D0JxdI87XEZPT+3iD2TnGW9RW4nPW3ihr0YkcW9LQkXvrjDAz3DEsi77NjHPLK5ijz+ZZ+9KYIHPXA4gb15MnS970y2vZAXcT1NM 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 vacQyzx066G9AM3oPeGbrj12b688TPMXvamumb3af9K51WDZva0alL1roMK8Oq1qPVQupz2RKF296hsXvWASTb2oFJa9/qiSvbiMmb2S1H+95gPUPZvJmT3jXgA9xYuRvRZtEL3E+2e9LAMoPcN3Iz649IO8+hKzvaNGELzeyJq6FrjYPEnxYrzNk9O7oJOiPWvVaj1RMCm99BGbva2spTyejyc9Cu0rvWDyaz3fgvO8nV30vASYjz1UooG8u5cPvXGOEzuHW4M9AxJEvf0jsj0/4kS8T33+vYlXjT3eXbe9UhfoPfLIbDyqzRm9pQ3YPfaQ0b3ZSfM8A5Vjvei7ej2XSgw9DXooPWDuvD2krxm8iAhnvNzmo71c+m+9dacLvki9M7sUyVm9ypXxPUIAcT0XVqS9edtgu3NyFLzAMBa8qrMJPaQDNj0AN4o9WB9MPRQLTLxXLak8HEINPcscjryhCmC8X62jPcYfpTya7u89mZB7PEPTsz1xraW847sJvNdDT72XM Fzu7YoolPPykMTxEXji8OiY0PCFhIz1Px229zPk3vfMH7boLOt+8ZbUXPtlu77x7cQk+WE6MvXrkajxgDRQ9dVMIvLqNDLyJ2J68uzYHPqTXfDvzSyw9n2+UvAyiG7yPNjC9I8hlPUJ1vzyDa/a8bkuau5VfWr2qPpa9fPfvu7nJIDxSzhc9JP2kPOMJDz3KqCc9FIShPQCTKz7PgoE9ekj0vBDlBz1twbe922XPPaDLsrzfAci7wNEMPvd5Iz4BE2Q959gIvtBIRTt5t229c3UJPhhvn70Kuxg9jPqEPJDW+D15lTK9ysEPvkvEUL1gGea9sZIOPYc1O73Ohnk8h25EvnhtMD4C/ng6lNWEPRRYwj2eqpY9nRAWvpQ4fT2es5+8SJKFvW9AKD6Sr4G8MG/+PC/0AD1iD3k9dvdovgLJ6T32mf48lKQPvZLsmz0ar0y9VjtXO6mkjj0zjJQ9gDE+vnlJ4Dy9cLW8r448viCmH750MT29fitJPtrI/z2Fy4E++vtuM voIhAT7EoRk+VAlDvj3NZb7a6TI9MZgDPuOx4D0xOYU+zGmVvir3BT6fo2w9cYrvvV22K74iHBO7bYgNPULp5D2D+0E+7fWpvhrb9T3ZFYo8Dhwpvr6Rrr44/6K9VjMsPgAxTj6Z5Fw+JCf7vWyloD2wCcg9f+WEve/4ur50X7s9KeDZPch2Dz7Dijg+kK5bvpaSdT0Erny9xINQvRmXO74z78U9e6wMPdplzT1VhQc+4sx5vjVkcL3O6/u9YRIQvbdADr4UY/u7kD1gPVPhzj2K4p481IE9ven9DD2MWpE8h8C8vLhrar5Ke6s9TDWHu0LNpT2+gzg9L+crvfQ1gDmEApO9NZoJO0nQO74ZTRE+uO9YvXGg5z1u9JM9sj4bvnExu72pPgG+3jCbPG7Qi73ktas9jUKPvGcTTDuhOha9u2JBPQf8aDsCSYS97NEqPVi5cb32NCW8Qt9GvL77b7xJqGW94go5PS6vqb1ZImW9InQzvHGOWb0egJI9edC8vcsm9DuCM 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 Ble8166SPM/zR7x8c3g7guNjuewgIj0fm5G9ivwHvJI9Y71fyYs8XVW7uxOV5LyZXCE9gn+dvAPKqLx3Zqi94uklPRtVTT0rRoE8VFg+PVd2e7xVcR49oQA/vdWmebv4s4M9u1tFu2weWb3yJmo6OV7TPMA6g7zUYfW83l7nvN963Lw8Nt28hTcBvdhuLj0RTmM8iqSEOzjIDrzux4A9PLz1vH9HiLwhe486bt0cPeJsFTw+cgS7EZaNvIqnP73lbYu8DLvhOmOFB71gVDY9x52tPEXl57v+Gqc8kusQPfkmi711FAM7c6YdPSp/Eb1E1Hi9njN/vA+BZjzHFaI79gGsvdGQGbymN2A9ECyCvJk5Rj0KB5a9GcMrPVKqUryjgE08EPUzvZujDL1785k8HAzsu7HZX7z4HqI91eKWu6vJlr3ZVAg95o9bPVE+srwfGr49umSPvPKUQr2TkqW8DUM2uyy3A71kpFe9Ge5rvC/90Tw6XgE+RznhvLDoMDy8RrW9QujwM PKvlnDtKupi93FzQvBzNuTvqJIE9Is6/vXckSD2dADE8IfKqPcW5Jb7qLB088BnkPKSdZz0E+uK7Wr40vHRFfr2Jj5q8ie4tPWOeAzwCMNu9NCUQvQeJibzAE6I9FbilPDHO2bpdsBW8/bL5PHEfqLxWlK+8kN5FvSMFLj0Itk49UVwcPbRF2rxNnQC8bt+3PXZ8+r3fE8K9h4gpPEFyMz1wlTU9hxoCvVO24ryML9O8Rw3lvO5PhzzL6oS8hHfKPNLHpjyMkz09xh6MvMI8Eb2QR0S9QFeQPSDKFr1n3+C8vdqBvc9OtrxYN1U8Z2BZPSUtA70Frqe8OSzpO/H7H73Xt4W7nQSvPWPgMbznulm9jEhBvaF0tr09GYQ9vBs6PUqMrjmWDi276BKjPQJcybwbLKo8sjbfvGWIBL0ojVm8pPzDPI//XrywD/K8kk/Muw9snDyvaQm94qmLvIjdCL0E+cI9WQUmPAreizwk3gk8Pw3GPZh75TxB5YK8Vvq9vaj5pTpfM 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 wuG8f4zkvRJuj7205au9eSumPYPJPL0u10E9t6MBPbzA57wm+Dm9OQCOvbwcCb3ZGuy9rxswPm/GFr70LHi6L0WBvUqtCzxljeW8bXmnPQAAFj7puh8+ZIc/vmUl2T0S6dQ9Z+C/vS6/N72goB49GZSEPfo0JD38PUc+LO9SvtOx9T1IqjQ8cQlBvINYpD08d8M75OyyPLMcqD15XwQ+6h5vvjcFuj3tmBM9rayuvi43Ib2AJWk9/qORPi1bfj6LXww+HHFxvlRghT3UN5A9yzW7vpqmgjpYYQW92SOlPpkjDD4Jfi4+6aGIvtmIjz1Z/sO7THMhvkAg+rt5mCm8quT1PRQhHD6tmi4+LZmhvmBWbD1wgG09zv+RvvFxVDookdW7K8VCPmYBPT5GQIe9zeLuvH3OiL2XlBK8AckXvU3teD0O9cy9yGGkPAxp7roNY2A9dmXQu7NJqz3XjAA9wBMCPUhrGL3Q+Aa+iTijO0VSOD1kE08+qocivsg56T1mDIU9UUsSM 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 vQ1d6TuckiK9kry3Pbdcijv/toa9RhxevZjXbrtHmZ09aLXTPVDSR7zRtoQ80ZpyPS/y070T3XS83TK+PMmVSjzHPwo9lfE0u7BReL1GylC8ItkVPf+KUD1IC2q9VihfvP/GS72UjDg92zSKPZ6nEr3iR3G9TklDPZZNn7lHkLe8xeQMvRdDQb1hmmo9UAAfPYrgZr0c/6S8vh/mu6OZEL2SdsG9CKeFPWLuM72ndLS8mEATvaxjYb3GLvM9Kk4JPYUkzzwY2kO8pG9fPaqiWr19vaK8twlxu8UXXbwHoJ67VSBtPXQXnT1JtbA8WJF3PIQbd7351Vo9EFwPuw2Gu7uuIvM9o16aPFcjSb09kjW7EknRPTn+Tby0HNU8mt7mvIBdBz2QM5w9RcQMvTyoPz2hlgQ903coPXcglDuH9Wo8crXcvbPF1ryZ/p667TIAPe0Z1z1eYec7qmz0PQQR3jx5G1s88znOvNY4mj20Zu89pe5iPMGJaT0XGjs9w/LHPFmIqbvYM 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 PQ4Hjrt2GS27OmovPeQJkLuU5oK94cXCPcB4Ozs306K9GmQLvEAWFbzIa0g8SRLvPZ5X07z75AA9Xa+gPV+xqr3rCAS9mJEkPZpKEj1lON68KsqpPMvazb2tytg9NjnlPIb/Uzw98jK9TpXZOhz3BT3MK188VQP1Oxq+k7zNa5G8GrdvPVxKnTz5Oqu8c3UVvZWFPLvO5yK8rYBXPPZlLDz3rv07B7wKPUE8Vr3i/lM8nGW2PTqtgT0Qz4i94OlIvdaTpL3KR7m6NlQ2PfTSgj3xxsk8F/gpPXxOsDyUA7a7wLbjvJbOEDxSLhq9vNlTPe/6XT2zuto7pNyuPeZMID1cd3C9uOyuurivlj0GRcY9vtylvD5TurwOt/g8YOW9PKgWWjy6O7w9Dx3EPJB6Xj13p848L7gBPekWWb2nBim9z8FUvZiEKz3fy+A9c8IpvSmBfj1Qi/28HkclvGj7ZrzgS6W9qO7qPOgkvj3nfRU9ugv4vPi7/j30t8U8NursvE4gq7vyM 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 ee88o22pvIL7UD3rc/M9iZH0Pbv3IL0e0Qi+5HLlu4pvHL1rwEY9NFLuuqnO6z3KFR4+IPuNPbc+Y71bYg++HztoO8Bxf73znTQ9GSvQvI/NeT2W0fw9myukPdcpK7zFBI099+InvZP0nbwHAj+8zSDFPbhMXr2K34s9WxjNPfU1H73qCOW8aHIIvZ+Ecb3ZMBG9U+nUPNCh7byiKA09IuLUPdLrSLu0s/k7vZpWvTjKaL0bFVU812jpvPdiqD3onSU9w8lWPu8R7j1hOgU+itqtvXu5LL1QjMs5qlS1PUDxX70uLBU8H9q5PSKbKD1KfD89puaYvajIg73snRI9chkPPWhVNLyz5VU8DhHkPcZT8rw/KCQ9Y+CivWnghrqx/iI9K6KVvLKieD19OSC9AdwfPqxsAT61GWA92hWXvW42Eb0xaNo8W++ZPWLoMz11oMI9KSnSPUsCWT7deEO9BF+APdQdqb3ieo+7gQofPqlWSL0Uld89AFi/u2VDFj6ueN6965TdM 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 Nxq9xNftvM3CRT0Bil69rxiYu9l1Zb3My5s9MkNzvftJqLxjdc094AqcPEdsAL3vmo287Tw1PSts6ryVZqI83u9MvW3TPr3pd4A7ogimvAGp67ydLaW9WAA5PZ3xP7tPxMI70uQMPXrKyzyesYe9o7FPPUisaT2phFW9XLfUO0sWF7zSEEU9MXGEPQhqnTz5KX49LC1yOzq/rb04yL+9iqVLO/Ulnjww0Es8qKHyPKAJYL33bFw9TDhKvKve4bxfwKq8hp3mPOCJk7x2Cai8kRo7PXS5ZT00jAC8Tt/aPX2aPr39Ihi9MF7/O/hfCr1bRwY8KTHqPJtqHz3C2IE9RUGwPYbc0r29ipe9ZzoRve6DNjqMKWA8HlODPXFVHL0etI8983IkvHLNWz3y/Jk8axMivafRRrz1fHY7MpgDPFj9Zb1FkiA9sEMdPZuhBr39kI+9c9pXvcBdK71Cxjk97tskPZE2rzzOBzY7lRQnvBiOeTx0Ra+9kNDNvH7/yDzT/Pq9NEZjM 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 PCCvkzyASBG9JkX9OrGbur1GtDA9EC3bPXT22Dt5cbW87kmMvPthOT3o8DS9HzGLPRuGfLxu6yK9SU3XPellOzzXscg8epHIvMzo8buNLr+9TzCqPH+QIb33gkM9FKGLPaIMyLyh9gA9qS+QPDRHSj27g009SRWOvB/KzDxrux89XG0kPQWq7Tv4+KC9v7JXPHmIGz1xknc97y8NvaITtjyclxa9yC+MPaJKiDyHyIG960ZZPVVT+zwOzh66hvXovI91DD2rNu484IWlPEWXKD2ZDW+98eYQPo77hzyAh449kqRyvShW5jyTndw8um2WvfVTGjwbJVG9C6T2PKj7AD0w2PM8oiekvGipsj3enjs7hPbEvMciGb2DUwY99V+BPMoMCjpVGBC7RTptvYEdLT0MxtO7XcG1vGbMurwxKSG9F75BPhtcj71D1cm88bjLvWjZOL2NbAY8TwnJvCJYoDyKxpE9qVzMPUb5N70loeO915gEvsgxwTwa6z69To42vXo8pT21M 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 Lpa9UwTBPPHPFb00vLe9bMSbO7Epzj2w0cU8zb9cvcW7sz1rtfW7OZ+EPdek5TsyrRS9bZryvAV9NT056MU9cY2YPdbZLz74Pje7jwk7vTgXAb1BcrC9bvgNvSTyWr1k4Hq9CwatPcXN3j3RHsG8b3W8PE3tIbxAXpa9y/sTO4in0D3A9jG9aakGvYnodzxYjGS8qlChO1351Tosy9c8IFbjvTJuAbxBSus8j8pOPSGIBz5lK3o9K2O7PG/cP7uY8vS8jE33vV+Gc70SY+693GUPPQMNBT71ORy9j276PDE6ATzApXm9/dxPPetW9jxq1Bs9zcWBvadw2LxgIh89ECPHPBiNJj21Z5i9GPu8PXhIWz1CQxc8L8+svd8tI7wu8ZA9ZqAUPXezQj0NY8y9sBIIPacg0TyT87+9wZOovTDZ/Dx9jwM9tPZqvI6fRD0xv3a93Q91Pl4rjj3KiI+9WN/hvbSLmrenkaM9RasFPasaAD0Dj6e7BlcSPvBI9j3+OH+9Ps5aM vp2lgbxz5eQ9+oTCPRzqxz3+zrS862HAPV5zpTyabsm96aRPvlwqRTwyiYo98wc8Pd3QQT3VQIO7a2LMPPVfpLuKJ3O9DtfhO3sWfz1CzMs9p9hJPbjjBT1wFXO9a7IlvaKsnT3Ysji+rIjTO6axbj0ofrM6OCnPPem0Oj33sO+7KvDLPNJZLD0GzMi9XAXrvfEn9T1zrIk9aiS+uw821zwoBTk9213xPTcXv7zc/k04bu/LvOgStrzB7JA9t5aXPRR7ST3BtYE9AgCzPSFLDztbaoa9nTlrvcbYE73u3I09DjiHPBobuT1sbv47YXsFPl9ReL14lg6+tCFtvdlqG73tpxI9Zo9mvFo27jzsG5E9opMDPs7yc720DI094BLMvA8sEr2j1yk9zAMXvURRiLzswpm9cSyJPZP2cb10I4k9pMSSuhCJ8Dw952I8vVUuvSulYrzdXPW8sgvcPMIqDr3kf6G8VwTZvEs9QT3CrFG85n88ve/7BT1FkPQ83Y2kvQ2bcjyPM 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 BBO8RlDBvCHWtryUMWE8nIVtPM73hTxsgkA99TuMPZK+ozyot3m9Tau3vOtUgbzwXWc9zOTWvAM9Nr2Sulc9bTO5OzW9qzxj05+9pXXqu3rIGr3+6Gs9dhskPIRZnr0K5zc9SLBKvJNirzwZBIy9UYlRvHNAWLzAa6C8xBFOvKKNpLn42Cs9D3efPRx2Sj0HY4e9L/W5vEiOCL2fXUs9iIvKPBGbyDpYZsa6aB7fvFQ0Vb2kX9e8gYiJuzCVSr0ZL2m66N2OvHP9h70dWGY9YPJRNkq+Bz3QOsy8FBZ/vSO6x7yzg7y8kLQ7vH0IvbyniRm9n8sNPDILKj1vG8S9DkPTvfrQ4LzWlrO6xeWdPZ6T4jwYTE688BQZPb6yaTx/yeW87nTivfKkvDxQWeG9BDzBPemnJ7wUNdO7XIR/PAJy87tNACQ9pNICvso6Ojznh0+9Rs2SPWA5sbxsl4e9mCYHPYnmJr3wkbo85aaUvcW6bjtd49O9m62uPcozGL0rfE29qUGcM 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 PeHBIrtO7RG91YFLPGwpSz0A3QS9xmZovZCfjb3MUE28o7VqPVu5urxMlUe9G822PI2pcL3N/QO9eaHtPEjtxTl6igu+JrCbOx3IkLszsyu9pn6oPcvJprqv9cM8et66vCjhRL3NrCK9lInHvCVEtDydYNe7FHnhPFHE7rveHF69S/w3PR7qOr2RlUk9De2uvYxEo7x7XSc8mRmGvHtKtjpjlyG9EbrlPU3eSDxDjnc8YGXavHbxsD3TbPe8GJVePaLEFL1O+GK5ZsAkPZjheLyrjlO8tUh/u6LiJT2t4FW8ddlnvd4EWL3gsB69k5scPWa4E71JftK8gQOIPYCQnry94cm8C8EbPWZ86zzdUSA99WOlPXo++LyG4o298LcYPbjZXrxP2SE8Y4Ycu/lRFz030WU9Vk9fPVioUbyL75y97VasPDmjq7z6S5u886KHPdbmhT1vvlQ9PqhRPX2y471g9B+8PKyKPYYtpruDj5c9g7B1vYVKsz2T2hE+4YXxPNdErb0PM 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 Xh67VHYOvUnRDLzeKw++i1+dvO000z1gVDg914jkvGEqnzpwvcs7g89sPeiaKrpIezi80Y9yPfVCsDyYbC09LvdjvfNA7zt3wNS8Cn+sPNhyqr39/8W9yCKMPMQ4SD1noGE9y14SvSZhuz2LhAC6nGrkPP65Pr3Lzty9ptRUvUuPXj2Gqms9UW1xvdhQqTxXeoI9rOCYPXp2Oj2aprK8nLouvTmY1DymsvQ93UrYvDBx3j3vwYK7hwn/Pcu9/jt3zuW8v/YmPRN4yTzYKIE9CYnyvGm8LD0XEEs9uRIGPr5aar0t0wW+VJwiPSXmALxV8yo9PigMPSJ5nj1AASU9XR8vPTDsez3j4kQ9ZOA+vFeULTscbYo9oNlnvWbSHz2obWM8VrL9PZaOgT1LZ/O8NZb3PJcAGj3mqW487d6kPLaxNz01XAk8bCW/PfyVK72Pcoi9oLTfO534Sz08ylE9+stpPejJ7LwQGxq7tFAqPVXhDTxfvec8uzcAvNF0ezz0zAi9AEBhM 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 nCw90gUOPvlbALxFuiq9aobvuzDwZrxzcII7USl+PTorkz0pV9M9nUfWPUg7Erx42Le9aFSqvDvFDb38Jj29t3FAPZf8kz1D0HA94D0qPuRdfb1xGyy9s8j0vGEYtjzoz6Y8+OhYvZzXIj0Mgx49OND3PRPMBTymVlO9JUjZvDJFj7zBqME9Z6xbvdRzyTwFXz09xpDCPe/mgDywM4G9IiR7vbBC3bxjlYs7Ga0UPZVppTulwL49EIPTPR3y/r3jfae8+/KOvRd30DwGdPY8Xkzpuw68FD0Xcoc9jox6PV0cXb0IFPq8cf1uvS7ndTsEmI09Q+qPvSJcgj2hAX89n7YAPtRmnL0wc929EqetvXhBc71Rsuo8cfYRvZYRC72ArGs9S4mZPUdd270xHRw79xHZvLPA3bzvzWG7l7GHu2Q2aT1zQxU8U/GNu6GQqr1+DVe9QxX2O1cRxjxkDF49IrRnvItTFDw+j7A90v3aPf1OUL0KyAK+mwRwvTr0Jb27EBA9odUmM 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 k/I8jtPcPRRKr7xeIWM970JevbdifDxCw/281ZmZPc4Hq7hCLqi8NcgnvfB7/r1L5Go9LsuMvO0pwLsz+l07cpNgPXiplD3b+yw8wYP8u84IKr1P/+c7KKlMvc+1nT0ddo68RmsRPT9QmT1YrFA9OGWEPbalZL1oXXg88aaHPEaBZjxNdZy9LUoiPXvWhD3AGs08Nx+qvRX30r1/YDA97CfUvADhGj1WO4M8OMWGPUOaNT1ywQs9Rz1KvNX/j70qGT08bGTHPHwnbjtugOy84UcSvEhiaTydls+8BIKCPR2Ewr2O1ks9VyYDPZnVvrzPQF692yMauoZ3h7vhTAK9Dlqiu36E3Lxyt1Q7LmUKvcWV+TxAbQm82/RQPHPyjbsFuQA9E0OSPXblyrst3Y+9VCccvGwKID2O3Ua7O26PvEOvW7yGNiw8JmvyPQ5Sk73w4pU8mQpDO5nAV73IDai9b7dvvX0bZr2K54W9qbGIPOKogr3p8ti7UTjhO22dGD2vj3u8mf2rM 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 e+o76gdRPafVtbw5vZC9efedPfBTxr3ZNge9syDXvNSNQz0ND2a8KiUgvckWQzv1+bi9DkPKvOqBvb2VTsW9lfaivfNTojzz4nW98L+YPe89Qb3QV4O8JduaPXDenrwJHgw91PEJvd23DT0TXPy9CDW4PPD+Vr1Wd6a8VNiKPdWQsjzPZng95HDLPFyBiz1Qjq69Ft0QvIrM7jtBhLy7djm8vCqdCrwUuec8XisWvkEYOj3DiQi+tI7wPVOWy7t4LIO98CMXvLeFAD3jL3k9/FXBvAc6OT20BBO+ID/3Pd3cQ7zuQQK9ANS3vConjr2TLU09Pdtdvciv8TmFzba9chLXPaOLuzxHSSe98dO/vKY27Dzwf1C9GuMvvUFNZT1Fpci9g82HPG6kM7wmRw49rG18vfe+0bxYKMG8qUmDvD6ih7wPF8W8NySxPZpBBT23bpC7NKxOvSK0njxEla08PyYevorq27ujRc+924IzPkdaGb1B8oC97uifvMaWBb3pj8G85bZhM 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 Vdm9jGiyPoJukj4dyDc/F5IqP+rV3r60EQe+3t4WvyDLtz5ZWJe+2D75PmYTkj3C2uS6SeaGPjEHKr5xI/E9u3izvv+z3L0WlRK/rU+CPj01VD3f+PE+wBDMvoXj5L2eEuE88dbzPq1hvz6zdoo+GT+LvMXehb7ux0u+2kI1P+/FADy+DWS9jnrEvrrJaT6Kdmm+IO81P6qoiT0u7cy9Q7VPPuDkBD/2HBq+fjkOP6jRVb4QUq8+9xniPvA0Jj/HE9w+k/xxvv567z4Ihc09TD0kP3KNFT4qal2+r11ovs9sJb58h4G+LMnlvphvBz/nOBU/HfYxP8rf+71l2Ae/5A4GP1SopT5+ZdG+kKlMPyKt/b3aEBY/AYxCvxMEK79m3vu9Wok2vnAKwz4Q1Na+NHGIv9sqC7+iW4W+lNLSPfUlvT6L8jC/PfXQPlXCJr7gNys/0E9KviMXxz6kKT8/v4o0v+WCCD++mJW+5m+Cvieznr4=", "training_traits": {"M structure_gen": "Triangle", "n_layers": 2, "max_nodes": 9, "activation_func": "ReLU", "epoch_num": 6}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.biM rthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):nM <y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,tM his.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i)M {this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.veM rtex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,lM );c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[aM ],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(oM .y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].M draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91M .6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349M .3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,5M 00,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),eM .bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58M .7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,40M 6,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,M 455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.beM zierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3M ,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,31M 4.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),eM .vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.49M 9,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182M .6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(1M 89.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,M 243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9M ,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.M 9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),eM .bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVM ertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(3M 13.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183)M ,e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.M 1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,M 440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.79M 9,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,M 178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.7M 99,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,3M 69.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,29M 4.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShM ape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVerM tex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),eM .vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317M .9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,3M 22.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,39M 8.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,tM ),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;brM eak}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.taM nh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copyM ();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/M =n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.M currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLiM fe=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e)M {case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],M s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){thM is.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}showM (){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensM ity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeighM t))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.rM ound(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListeM ner(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&M window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.heigM ht=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendModeM (REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.datM a=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=M e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="523";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,M pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parM seInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","M #FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d"M ,"#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){M gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0M ;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1M ==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.stM yle.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.M position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSM ettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndM ex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`PerceM ptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;eM ++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me)M ,Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2]M ,gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*M le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.pusM h(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodeM s=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else M Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=roM und(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&M &cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.M strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyleM (BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let M t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(oM ,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+M ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,M height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),beM =Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-37M 0*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${M Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHERM IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,dM ,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,rM ,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),M qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="M 12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.tM extStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL AM DDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*M le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.M push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=M 1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height)M ,e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocusM ed()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is M becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is noM longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${M r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015M ",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight"M ,3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.traiM ning.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwL GMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b4843891da9a214","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> text/plain;charset=utf-8 text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_294", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 7, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 7, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "kOmevCnVOzzil0+M 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 oBb4Uol+5nx6gPKbx6ztT5Jk9WY3jO2DbPD15x888l8cCPjnAMDyBGwC93Sa+u7aAYbxlxxo9bXDTu901Qb4wbqe8wLDYPRspzDsQS449TNqqPYmIA74FVj+9nrOFvKZy3Dw2N4U9OiyCvWsXzDxVKoC8gadxPTaTGL2I5JW9KPgwPT5wg70FJ8M9PInEPBFkBL6/e9G9kYxjPS3K6LxlvDA80uVgPWi/tb2+KpG8lXjfuWXx97xvD6Q9eKxTPDgyij3NPOQ8pzHoPYmhML1VMpW9hTUAPc7qob0WOgk+cKAQvevPRr7aNk29EJSEPehWJDwF9Fy99YvbPWcZBb7Yhwi9PKrHO2Snkro4lBI+2Z24OkAiyT0nocS75hNZPUOHNL1WzWi8J1AWO31SBL0cx7I9Rd1lvIUrSr7u45a9TjxmPfb+3Dz2soq9yqSgPXB8Or5/lhK9/5G5PCfLsTxeCtk9qqZfPA0J1z2sFNC7vCYuPa6trryutcm9JlOfPSCDgr1jc9IM 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 7nn7+PQh+/L1cax48k92NvIPSlbx1T+A9tdONvbxO0T1mE3M9mbhwPark+LyyxIi7Kf4xPbahtL23crE97znnuzU4A77hx9m80TyxO7CQoT1U5lK9RnWCPVnENr7GvcW8jbgkvTMxED0wqM09oxFFvTK6IT34/YM98CjkPWdkFjxEKrK8KFm1PLdRIL2S0gI+KnRBPW3LQb7/5wK9iKKMPSTArbuirge9Cty7PQdbJb6v63u9MJL/upgALT0UgLI9VHtCvIuikzyEbaY9gfk9PRWVGrtW1IW6WRWSPBtC+ryc1ek9NnZOOwP7YL7Yn4C9XOGqPc/rFz1/M/88LINYPZ72DL4vIxi8ldP4vCOG2TzzeQ8+62gdPIv0iT0tTSk9InKnPZKXoTzpLaW8DPqevNnR/juOqbA8ZR4YvBAUQ77MiY68h2DMPFSYiLwbHOO8VbwfOh3/pb0T5aq8uWr8uwM1dD1HQ+89jTEdvc87hrurfk89fY2YPcozSb2wD129e+APvBlM 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 sAL4WWcy9wp9nPLWTWT1SdqC81qcDPlJr9b1yy9y89F86vPH2CLweLQE+UBULvSLIpT2nYLU8RafFPXUNf71YVYm83CLVPJpOsb3wFgA+ZGVHPe7/Tb4MbrK89uklvJq/MjzoWhQ8YPUaPtE7Db5g44q8+p6LvUFInbwUwg0+DmCkvU2QDz0lcHA9tNvqPbX/67wKU628DGemPYo/t713dJM9udgbPQbLBb50IMe9elOkPaIdSz3M69e8SMoHPqBBIL6nwrc8P3CFvfsoorxmKNQ9HmJKvMzGgD2N8Vo9AbDFPcS3YTypUSW89+QPPGOUiDtbtYo9Mz63vLU5M75uBxG9Fa89PGCjprv5iD28pO4XPOiaGb4qzDS9YeMiPeXOp7zbXwc+EycGvFOAej0I3ZY9bV8FPrElorxTii69pQ9IPQ3pVj30ngk9JbaqPTFBkr2QjNs7s//dPbBvjjvqRRc7+0U2vM/ZGb7LbrA76niRvGfbnz29obk9jfppPfe+07y8z4UM 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 Wq716rZs91Q2BPAdjDD07/bg9nUohvezovDwLNqU9xmlIPXVpxLz7Xz+8Iq1NvHqOqzz6Yd08hb2CPR+kQL3V9XU8sMyJPRhgFT0KNYE9fxuSvcjaKr0IKKA9+MyVPbvquj3K9pA9JZ89vf9bgj2ciUg954cJPahnHz3F8hG9QO8EvF1whDw8dfk8G0KCPU1iub2ZHUc9GwX3PLJvEr0NhHU9qhgjOocOAL685Mk8VaxdPXmdrj3PSxs+g3RKvFm9wrrZRFg9QcoJPe6OrLvpuVy7rbZ9PRYlmz0XxMS8AS6DPQQjuL2CQ7U851XtPapeTDw0k3E9gZYAveDOlb1YaE27VYsgPRosTD2qYgQ+6H4rPU/4Azz+aCc9Wn/DPSCkPLwz/we9W8YMvaA1ETnLbWE924J1vKxIi73cDgo9YP6gPUT6krxlw6I9JDsPvY+i1r2skAm9ghRxPUtJ77mGQaQ92LTdPLVlCz0VEjY96T9PPc/y9bwhkYa9feQjPb+al7uM7gMM 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 +FryfO6iQWb30qmm+qnelvnUU2b1UHzm9n9hPvWJhoz3ZiU69pXIfvjVNhr3odby997EmvQK8Ej0C5Xu8H7GPvSVmkL1kszk9CqIevTI0mrwKq/I5U+UMvbkJlj0lZ4m9YO7AvEHtq71Hwxo9/djhvNOWGz0bSZ48cbUcvY2ehT0w2KO84Ye5PbxsPLz6UjQ92Sa+PZBwrz1NK8Q9aaVlPa1MpzwYT7i9tQvRu3ybvT07iOA9pTgfPjJ02LwF3xI9y7WYPJGaNr0Wc4E9yaoQPpdHHj6NHqE9MjEPvXsJwTxQHli91XmhvY2Ogb1kReS8BzNrvTbeaz0IXBU8889ovVofYb09NxC9G7NmPRSfOr1RPyI8mNYYPZKfBb52n1k962Q4O0Oujby5HwM9xJvbPNgc5Tv9M5Y91gcHPXFrxL0cz6u8Htsuva+H1D0Mz7W9BRdPPV9dOr2LUC+9e9FMPdWnpb2tG/08CuqTvJ5en70BHRU9rqT/u1M1iD0Rij89ZScpPeKM 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 MJD2xLo47UVaCPdjquL2eKYQ9+JHePcCBczzbfTo9TVJJu0NuqD2l1ee9LLTPuxaQrL0rtpA8rgO+PTsgBb4t2Og9+hxDvVkuVL3gyoQ9vIKWPCBZJz05sGo9ls4Guy2vg73pvK09CJAKPXFtkTyA10q9gVnkPKlAXry4JL+80Q3YuzCi472B1Ak965HjPcpG1ztLTCg94KuLPV3Uar3SeY88ednQPSg3oDuHtvA9bOXAO9WDFrztjiI8zC3NPWFIRT1s7L08n8mQPSQDaLz3cqE9txfnvOOCmb3XF+g9xiOYPQvyP73QCP+7uTs0PeZf7r1wvcI95SunPVoGszymOwM+hV6DvNicRzznkpg93sYDPvX3LT1z5Ug8X1JhvVBPYzrPuMs8Po8sPT7nWb1reVW8iwA/PYa3JrwUhSW9D9LqPFYMM76BJ+28+h/UvOcQgr213tU9jcdZPdfqOD3YATE9wqA5PfxRSb1+Cpi9Dr57O9urDT1kd0I9Q+p2PEwe2b07A1+M 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 rID4y/yE+5DisPRSpRT2rU+e8CgCuvUPTozxRtpk9hWooPkNRlT2s8529fSMvPJVSpb1Udmk9TmLsPcgBGz58Qao9lbkpPgCi4z3XjlW+wBwAPXAHLT52fIE+Q0RCPle/mj3CajE9vP3ivfg2lz3NePk91xYfPn3L3z1KmWe9yMibvcfDXj3Soho7ue7UPa0sPz52p5w9M3eSPnBKg72KXJs9QAIYPUONFz5byRY+h1OjPYgMkD0WRPG9Q5DtPVdLwz2K5nA8von7PZtNMzxMWS+9rE9Jve/z0z3t2DO9U8CkPQJ5OD7uPNw92cumPgh+RL0JFjA+fDZzvVlizjzxhPo9ewQ3vInZUz6kzBG+dPkgPnzxLT1NG7q6W1LMvEy9Kb0JKKg8mFbPPcx7Br6I52c87XhrvPGE6z1Lrhc+N+wKPpnqhj2SYku9gT09vcLirT2+HY49zD4iPc4S6T0He1e901nEPMTouDye7pu9dDL7PEdnxjwdoG680RhTPpYrg75epU8M 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 8z7ODvI57dT2kZD69T94PvkKdub0IAxa+zagcvTiE9b0vtU49X9UdvNn7WL0nI6Y9UPIAPuiR/zxVNTa+EU8YPXho3D3YPCE8iJqiuws0QDzRZxY8e/ftvbO83TwCAkw9xNcwvW5ikD2Zpvi7eCvAvIx//7wpJXu8kVNMPTADFj3TbHo9alvdPUfvX73GU1q8dm9mvSS9Gz3ARaE9qVOIOdig3DwLRI69mpmePQBMij1Pt688K1VovSAYPT2xLIC8uISZvcUmgTw+r2i8Dzn+u+e3+bzofU49Cu5SPvtnmr3HrTg9tqMpvOQUWz2gAaY8Xsb4POabYj1qVgS+jhDrPbQ/Az2EAlK9rlk/u1Kq7zs1IuM5aEgGPh+0qb06tcW9j97XvG6TurwJRou9rFS0PXP53T0+ANO9drfuvN+3zDqI/T28lFYdvfrAtb3ObyY9nmi4vREqnTxbqO49pxkQPbUaPD31ggu+m2ANPsXeFL7qNh88rMhuuyabsb3AHMy9O1FrPXQM WNj7xCF++JSTSvFmz27yhsJC8TbYXvVxjAb6myQQ+RZ+DvqcvmTx0+Pg93uTiPRqEZD2wsRe+YFX4PfkkG77J3ao8i/kmvSZAML3HX9m95HkaPs1I+D04DDK+gt8YvGjPNj2wx0U9ZHUUvZwE2L0gw1s+Ow+TviAdaz3Ate095XQHPid1Yz03gAm+Ag+KPc4d8bzaAiq9SCm9vbO6Nz1x+Aw8nphpPuMMtj3q5Ym9O4SEvf6W7LvHZAI8vsl4vTScAb0YKpg9ieAwvnSDBTyQnjo9ZiGwPXi+2TwvsR6+qRqJvcSWhj0mcfs7u3CCvaYA0LwvXJg8IX9IPv+EMb0BKQM9V1PIvFx0v72BOkY94VNYvZ1yK72iio+8vBBVvYh7cD0Ohwc9iWy1PagDAD1Q9wy9OKxhvpRDMj5aNHC9PrLqvWPdA7yMWh29PEkBPkpXKr6PEzs+hLDNvQBF7L1sN5u86WHXvU0fhj2B4HK+8gpaPqhakLnR4Qy+8Z+bvGC7kb2t7+2M 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 E0b0Wnk69OA6ZPWFqZL1IDiM9o6uPPRykSL2lDyY9CwTJvPgjhb0ppgE8FB6YPH7R9L3pYFe9aEmcvQ00mj2yZ6C84jkBPUcSWr2aM/O8l0EYvJ4hC75ryis91WEBPEdaHb0/clM8NynsPLlVDjzBiQk9mtYTvJw44DuVrdc8nEJBPWwdgr2fsze98QMRvZAzxDzfnK889oOLO7EbL71MEjQ8AwCEPN/x9r3QUJ898zoCPHMh3b0jkrG7tCMyPVC/hz0f9CQ97ZyHvcd/2Tz2Lr48n3J9PeGyhzzH1We9JfmHPFyDw7wjZyq89u2rPNlWdr2O/WU8xbSePXFD2bz3HtO8g3GBPeNvBb62Cio9oKzWPb3d5Twr//E9lQIGPTiRiTxpXUU9t/aMPVHOZry2ctA8v1QSO5p5nryEU8G7s9Q+PfK74L3OlTu9AuK+PWjGgr2dgwa9yODZPEPpEb5I0zc9pzAkPLWjp7y8+p09EgQpvftnjj3SGos921cHPcxhGL0lXCmM 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 +bGwWvtDyk71QETu97I8UPNoMCT32RvI8Fwb4vYVQfb0esZa9Rk8uvahKgb2feb29wWTXvHyOVTzqv609XekePtEheL0LHxy+63MKO+eV8T0bFmA9zpzCPfFWfT2Sz568cD6AvRtDmD2n3Dk964voPMiRqT2B+5Y8EHwbvfQkIr0xSFi9+P2iPd/xxDvUJrw9id8DPvZQEL0c3gu9bqQTvQ0MIz2YcNE6qwOtPHrZ2TxT6M+9GDh3PVCDEzwUIE49AV4NvVlcTjxfnqk7G3bcvYuyvDw1rXm94O+6vP31hTzuNDG8BJIaPuz/ebw44qM6TByIvUgcbTwXwrU8AbALPSWOLDzwu2O944gmPl2+a7xMKDi9RHy+vA5bPr2l15O9pmY+usrqPb0vMeW9I67TvUDFWb1OLBK+EKtsvDPZvj2Xe0i+4d/zvGGrfr0xx807gI56vAVgLb6KFwg+hTYnvrXOyzuIs6g9qaUHPfpWXD2XJlC+K1MZPmObHb66r3q9xFayvQRM 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 +0VYnvfM3kL23Rae9WdAvvp4/pT2p+c69nt1qPlU407xgQce9yFsbvK8NFr6aEoo9oiKBPTkfzL2RjqC8stgNPeEoSD09t6s9mTBNPg8cBD6xEDm+ufLBPNfaKTwPFy89wJquvAPeTz0Z3AE+ejycvcSpRD1Rc0o9eRnBvL/PpT22qD69vA1Vu3WIA74ZRGU93ODVvPG5w73yG7G77AyYPOorDT67iH2+nKn9PZqIkzyExcQ8vQ2FuymDir0VFt49tf08vvgHFz5CiE899gO2vVCftT3CYqK9UvXVvRyZHD2Kmfu7JI/6vQiUQL6DKpW96ITfOjpoObxqoea9VwtIPfkO173erPG908cXvuwzFL5XrMI8PM8jvbcJ0jwH0we8aNCuvY5O0L03/6u9vj/hPA9zCb1gDlo8k9xFPRTXUD1rgU49cxcAPl+g37zaUfE82mGBPSPEjL1sK4q8jqu5PUC3f72kKrm9AipKPcDGVbxZxqo8pdCkPVQHUzyedQq8KTuevUsM 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 V7T2aVQ08hADyPACihDm72l69Hd4iOws1gTtwocI9wNx2Paxn5b18TaS93OBwva9eML77VZG9S2R7vV6i5T1g+Du91x1SPYPR47xh4Zu8zPRqPRWpiz2PAgW8S5FyvVpsqDy4ga88TWmAvBzKD71QmOY99eQLPDub1L2wItO8hGW8vLvQf71Xd3a9rKFuvew0OL0+05a8U+usPeX9Jb21u2095jYyPVskjz00SeK8BukZvN7Shj3+17k9BE3kPY0UkzvWSiU+pFzMvXyFr7zR5jo99WxJPMNvzDzJ2Km8POSsvdHuTbyR2CQ53aSRPS3pJ73TI6o91I4aPpzUy7yYHBi9e9iPPTRL1DzbXUo91BSfPDCVyD1RVKc9mY29PD1xwz376Ak9WobNvHQfxrxxsgk9gO0Kvts4kT28mIo88vKpPSddWz1Vniw86Z0ePj30wb3qybM9pzanPaDfBj2v+1w9EoPuvK0Qlj2TPy+97TI2PrTBhDzQmkY84EBrPaKEOrwTUh4M 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 Rqby1fJ49Uw8YvjLpFr0IcsM6jpEVPPEv77zizIm9ZsF9PdOof7v5QLI9TqqDPcRPojzsyQk9HzPWPK+iID1CV8e9QeyEPcsf+7xpiWW89Py3PbaO0buxm0o9B7btvd++q7xcVZc8/L5zPcUkr7u7Xde83NxkPaOIY71atRM8GOIGPZuJjTzRbws9OFtuPDIl5DugoKi9hrWAPY38jb28Z/m8upSePXBGkDuk5fW8/li9vckqkb1ve4k9TSu/u/0xlb227pi9pBdoPRAigb1f6lc9Q4rsPGiQHzw0jrg9iq5duy7xZTiBZz+9+nyLPB7Ti71U++O8MY6KPYxMfLvfARW9Xaq7vVQIG729Gdq8qLiWu5KtKb1/4d+9sXkTvXEGSz2shNs8WWCovSGxjL0KJNq9Uae+vczEHzz9er07kSBWvbl1/73I2s29+CIovkLDFb7WVI88ChWqvKqxgb1kzry9aMrdvZGM+b1dmAu+Kc+PvGv0Pz5oUKq9SpADvuFcL75M/8eM 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 9KEhdPQyOPj0Qjh893LbaPaBIrbwELcW92MakvJEBDL0z/bA9ynxBvC48Oj1pKPq9bfiMvVkoYb2+hiG988zUPbiszjyhmpI9OaO2vCFb7bzlrAq8gkquOnXPkz2JUYg9JiNUPRQt2L3ItRW+cEhSPX+3dL0uOKo8T1QhPdcPtbw1uwK+L9auvE30Nb0E3Ha96KIVPZiqzbyWTpg90gPRvVeyxr2xDiY7fuITuuVKzLxL/3Y9TmKvPZXklr10dpG9ecjZvHFp8Lx297Y7mBAXPb2VfDwqY0W+zwHdveqX0TxI27e88yqsvVU4m7xoh2y9Lxn6vbQ5Fr6qE4o92zyIPVylkryZn1y9+SXmvf6uD769I7u9Zu1uPXqXGL0GtaY8o6D/vPRKh72NQnW+ecFDvjxp2D12XKK9CfsSvtcGsb0xeGW9BBYKvk6QVr7nYG09kFChPBw/m72hVQ48hxoAvoAQ/L2vHeO9j6SvParjLrsMlpo7hyrDvcjJ071VExy+j/gdvoKM 5VD5rXpC9Y6ISvt3Mir3H3XW98uoGvtpvzL2r9NA9X9GRvBDFvLwW37K8AMZLviorqL3+YAi+tPasvGOpXr0HG4S9E3wtvqehX76GI0i+nppFvX8wyD1bg4y9+LdpvU61gL1U/9K9Z9MDvhMVSr2wajK8+G0Hvettqrv34Ca93MICvuLz3r2ynwi9vbubvP/gnL0fAWS98YElvlVQRr4Qqiy+yGucPEXnHjwZTF+8pUwWvAOeoTs3MSI94mAFviMnTbz/0YW99EXhu5ZMML161no8ouNtvWmIrL0ShxM9EFubvWsVFr3SuYK9RLk3vcrlIb5cA1G+FOytPY6bnTsSInY9pvOhPSE9lz2OjJk9CTFYPDrq/T2TNKa9oteBPPt/gj2SfYg82sx3PJ51f71b2q09zt+DvVdd070bSiy9+jkmPd3m0b2drem9G0RmPRkY5bz8nIw9AyLbPThimz1yxC48IhxfPcA6uD2AFFa9g2+JPW8eJD2fIO89U3ABu5xrSr3APAcM 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 9XHm0vesC2rxJLQA8+2HBPXP377xZ96e9ASl+PV4uUL3yv649NkXlPaQ3pz0NpI49URR8vTj+CT3Wd4G9LePBPQxCSLxah1E9ZBukPXNyW72JKR+9gYSWvfSjur3etW09dn7TPflKwLugMXC9nbmsPUhs6rydQSo9CtXOPWAN7zxI4Vi5ekBXvXeE6T0Z/MO9jP8TPe25tL1zmJO7vkwAPv5Lkr26RqO85wQKvlVOb7ug1+I9j/M3PbOZj71HZB++TiTyPUC7orzebWg8Au/GPWD7Vz1xrFs9iUOGvdHDrj1sWRu+DjCEPS1C/bzP04e7U7AtPdbehL2R7H89ogCCvRxtjr0rWVk9Qpu5PdMtU70uHiu+RtXqPcYxsDvvgM88SpHVPbjXTD0pmjY9lH5AvbCSiD1ERd+9HctAPRTBpL0Be7G8WbuvPX0rx70nmym8WdD+veVbJL2cqK49ORTPvALW0L1mAm++VnK8PTPqEr1VVBa8YVIKPinUhz3OQZ28DxD2vZjM 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 eAr0GOTU/m3L+Pl8lBz7bdiO/EmQKv8JfKz3Lzga++1QnPXQUuL47kwe/nIz/PQltv74HqqE+YIehvhrkortRmd69kBKrPkCptb1DkY2+6qkfPxgaIL/a/Nc9A2CtvcCHHT9Dsdc8wYMLP8RVNL4fycO9u2GhPcw/3L78GSU9XkNgP7/cKL47q58+ZZlAvuRPPz+pgYA9XkrfvDflMr52628+y32RPpLVx71VtDE+tc8hvrIKMztwPIy8JEIHPx89sL7c3T++9k6dPg60EL+ySJ++9RWjPmc6Kr5Zn8c+niA3vxOreT53iAA/mlj+voYtNb+krTg/p2A5vvKEQL5VM96+VVM2P5vNAT80MJk+3zQ/P8M9nD4p5Ys+DOrMvsXAWD8cIdi+LM41vjAv776O5G+/3XVkP0ASEr8/kam+afIKvqnUmr6/laY+utpmP2YKi75SwGQ/f56bvvl4Wb9eUgG//PvvPq4KtL15iU0+5AYkPdVVRD5J8dk93vTIvoeX2T5MURCM /9fTUvs9gLT9xG0M9ZiAYPy1tMz96hJa+scoMvw/g1T627k6/lzQJv8CeY70m+FI/u38nPn+qVD/ZFi2/ePXXvXtI+75Du8O+Fj+/vgpNxD7APDM93eaHvKcoDr475Da+zGZOPoMRHr9Kqkk+wOMUv6s5CL0AAAAAAAAAAMl9gD7M3f2+KrEvP+Y/Ab+ASQC/AKDxueDOFj/mCki/SM4WP9J1Fz+mJyq/dWFYPgAAAAAJzQg/dBZOP3EUir/kdqO/6JtGP9yrU7/0xU2/ZGtEP0/NqL7UcuO/xDipP5l2rj8=", "training_traits": {"structure_gen": "Triangle", "n_layers": 5, "max_nodes": 7, "activation_func": "ReLU", "epoch_num": 5}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=5M 9+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTiM me()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatioM =map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRaM tio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=tM his.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=crM eateVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=randoM m(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVM ector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.xM ),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)M ),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,3M 84.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,12M 9.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9M ,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.M bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249M .7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,2M 77.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502M .8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.M bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.M bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),M e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(M 102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.beziM erVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99M ),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.49M 9),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,M 115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,4M 03.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,3M 48.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158M .4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(M 256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,M 59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7M ,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertM ex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3M ,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.2M 99),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertexM (194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,M 425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134M .399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.79M 9,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.7M 99),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5M ,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,M 268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVM ertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertM ex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}functioM n T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(eM *o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(leM t t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=eM =>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,M t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{cM onstructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];foM r(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons()M {return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,aM =0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,M s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";rM eturn"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};vaM r n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=M n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyleM (this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return thM is._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){varM t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){rM eturn document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void M 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.datM a=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=newM File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="295";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,UM e,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),WeM =createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_coM nfig,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6M D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664M ","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=VM e-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphM ics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}functioM n Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"M !==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zM t.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("uM pdate()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCM ount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanM h(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);fM or(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=M 2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,ytM *e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),M Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamM p,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<IeM .length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0M )}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=mM ap(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.stroM keWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,aeM /8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct)M ,Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}functM ion Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t)M ,s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2M -100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=M 60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWiM dth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSM ize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleStringM ("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=M 50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+M h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),M 1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qM e.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} PerM ceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("TrebucM het MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) InvaM lid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==PM e&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]M }function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>nM &&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qM e.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let tM =0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, butM I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its storyM ...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+M N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["TM orch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),haM rdwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper PatM tern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b4892d80d0fa22e","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous">< text/plain;charset=utf-8 @{"p":"brc-20","op":"deploy","tick":" ","max":"166","lim":"1"}h! text/plain;charset=utf-8 text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_383", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 11, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 11, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 12, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "G/yhPGAGHj00JE48RDS+PMmekzyZLce60kesvK1E/zyqADu91q2RvEHNTb2E44g7wt7sPPMEvrxKMsg87MMSvI+EcbzY7Ce7lx+KvQSYHrqto0A92+J1PItbYjxUBF89+ul1vYJsc7tTcZQ8C6kZPSvPHzM 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 3uPOPkML3wuv673PuxvLTDPD0NA6E6EBqgPHLn6jyVT748b9MzvbHNPT21HLw8niiWvMjrNjxgw3+9JGESve4VF7w6Qia9zGjTOn5/Ub3tydO8Pe5HurW/hTww68y89u7HPOFrnj0jVyU9fF0jPHlnBz0iFj88UbPDOTrp7zzg6cg8oMIjPamXw7ynBQ09pH1jvcpzAb3QLLM8OuqevBvu5jzOw+K8AeKXPEq8ezx7WqS8wHhqvM6UkDycVxC9oTPQO+WXtLxtJOS8tYjFPEkxmr0t5PS8GK4EPJ6aMj21uwq9rPcKvNc3xT0IjeA8jVm1vA5wHr3zI4888D4IPRW11Tyfgkg9PEfIPBvIubwMXHm877+BvcB7jj23ffK8qL9vvXcfEz3N2sA8WYWcPOFZgLzPqqG7M/8APVzmZ71wc4Y8/LctPZLFObweU7y8slNLPdeLib1boY07cjpkPANUfD0bS+S82gNgvTEhsD022rc8V9ofvb9srrwZKAU9QGjfPB2WqrM x2mgc9jpSZPZlYm7vV22u9h2phve0Dez1FOg+9yAvTvMsOpjqAdXC9mmMKPduaPjyhHww9EtyPO/7s9DuKdpG9YnVjOwcpcj2mzJi9XfEEPctSPr1s0vo82IJRvFbHoT3Tf5Y73GBNvSH0lDy4foA9mtUyPSROWLzobdk8sshUvScVoD2lnzQ93bzqO8Z/Rb2ey3i91Ur7vfz43DytaMe85QEsvAW6Pj2mdli8vB+RvIMCCD212qS7FwjXvKJrR72DP9S8Nv5KPe35xjzDa3e9awgoPelIF72sKBE8ZvxDPVQNZD3ItYe92u88vIBFUz1paXQ9JVmKPO0+Wr1YfSw9qWhovbu6+Dyv0o89+WUsPZx6yDsrF569CcgXvjsVFD1qjVg8AUGUvbgQ6zvHfwK9G4ZUvOC5Oj2Y1Lg7tT1lu/9E9rvtdec8SkClPQglYz3X2nu9VlokPRm0rb3fOso8frJhvLuznjvbZ3K5euUavZQU2j0BQUI94/Q4PVoAQrwuDAE9mKM 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 zJOBA9HrPKu520NT1Qfac8wil2vEFHSr2FvxW82mGivYTmjjzEd6Q7pUagOnov7rwDWvy7QU8RvLRLkDyY+Cc9fAQwvS8mRL23TxE8emCvvOH1BbxD+787jAjwvKY5wL0Ma6u8/k/PPEoZ3TySb569+aHAvZ6tFT1O1Bw9kJscPaE8M70bKqs7AwgTvL4SSD2mPoo9/RsfPFxABz1Ql529Lx37vUKUhD0WpMG7jAtpvXKTl7xWitA8Fnt/PUa5cT3JF2Y9afmjvENRO73KJo29IK8mPVCbiTyAWgi9xmmHPAACm73guj+8sCYCPQ5Ot7t18UG8hs75vKlWeD2JfVc7SfUfvUbWKL0JM1o9ZV7FvHYqojtRl8A9dICEPEUWxDxQD5C9bf3kvYmaiD3QBri8GKi6vBKalrsimAO87d4YPfpwlDy7NDY6PNZFO5aAqLphtxW97y6PvAK+kbsXYA+9sz7qvCsB27xUWya9tdNAvKsXVz2H0e+7EVKOvDo1DT0RpGU9dTM 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 AmPcOGzLuEFo2915OIvHIJwj1R7EM7nQWhOkjDPb02Pw277bKRvFuvJzyVf5Q9hyT/uxcqUzyjdRc8Q7ITvHm8RD0otxo9tlUZPHaR5Dx/sRq8ZsdHvcktAr3K8TA9gzeEvTnavTxwo0q92x52Pf7oSD0v3Pe8PvcVu/69yrxmbH28YUanPK2qfjyHwf+7GBljvVm+8zzw3aq7532mvAGAPj3Rpp48RGQUPeVH/bxPCos7CXbvPFBsYDykequ8zecDvERzJ70yui09HJ4PvVfTgT3zFXo805wOPYZySD0pecc8OroKPccALL1feig7jXmaPCyFUT2VXai8O22SOso9zTxdF9i6a4pPPXGz+LtuZvw6WZIOvFCVgD3xQae8Xk3ZvAcRkrxU6u665CFqPVfs7Lx+lqE9LatgPYt4Tb0+VyW9wm60vQVKELxjUFA9zMmjOzY2zzwFNyg8Pe01vfD5fz3f5qY7jNrtvHdIWD1JnTY8yeBCPPsN1rwVGOK8ifcavJw5LbM 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 0n+pc8c5VJvUinArx9sYE8domaPEnpAr180Ui9M7DgvfCLAD3mouc735+FuwLhbjvlxfG7k8e4PCF9ajsybgg89VA8vbPpr7uU72m6+3wQPS5HND0ryK69WrAyPTQmSL1Ka0e9yksLvef79bsN6pm5iQPlu7zbnj1KNnA9e44GPS27ADxB15M9hTmavdgiBT2WxlI96FsZPb+Blb1v74y95TeQvZ8rYzzZwcA7wzDwO6bUZbj4Wq88/jeQO/R1E71x0Xm9Bo0HvEyQKT1hNRe9bsXAO+2vf7ynNaC85KMDvaKkXrttRIc86QgHPYt1O72g64O8FcgTvN+bVD1HBxY9RIg2vJNERL3apha8gDihPKGOyTxr9hG9e8oUvFMzM71qhCq9s2pRvZueSj1UjsI87f8evIbChTq1hhE8ggHlvOwYczqoT7e8Ln3NPBpPmLwaltU8j+CtPPFsATv26QA9yNoMPOTDnz1G6yu8ptPMu2+U8Lx/QIO9SHWSvEicOz10mxO87kM 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 2eoKQ8C4TivJvT77ymst27tGuyPGlx2TzmQH29bkiePHMsGb38IBG9Z3civcru/zyDRzE9kfPbPITsGrwNixi9a4cNPNNiNrvetfw8dsADvN/BZj0WDCg92dSeOhxurjwZVTW90lZ4PGHXzjs5AS27vQYDPVe9ebtodQi6RL9QvIFxlD3f9xs8yzsdvQLwhT3p3Ow8DHqFPQD6nD1/B2C88DgYvR/uhr3opXk9552HOjfIJ73DvdM7xdpDvMJHjbxHWi08Y6rAvAuwLbzMzqy8j2CBvStJtD0Wwsq7kPk5PL0RVL3ri4E8+2divNJPAL2cj3a5cf8Ovc6zRL2E8A281n8BPXETMD1Ds4G8776ivWLKy7ttOgW9Y/FhvGyaszyFVvg7JUb6vIBh/LrbkqQ8GtMgvaS0hL1f+lG92oRgvX19obw0ERg89gK3vNozTrzv3zy9Ht46vWjFQDwXefq73G2RPIUTGr2pT429Ez+avfryrjz1MPi8koLLvLLSabwrV5Q8hfM 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 w9c4q8FVFvPB2YmDzoVEU9Um4yPZEwab0isnc8GrBxu3jXCbsaj2o9ZYPTu7S1rLw9+5m8H8U+PJT4CrwGbGY8WcPlPI2dETzCvS+90IzlvHLFAD25lkI8ZqEMvZo6q7w7jY89O4wYPdRbOj2pZJW9UrscvQzyZL07moa87O2lPDAzwbxrFds8UjFEPMI9tbo1Rj+9pVKSPSdxH7x7zJq9DRyDvU2yRL0rLvs8XAEgvZ0QU7xujgu9/NnIvJ/3+rz0anM9jlCjPYvSD72X9JE7cKfFvaT6gT1cjnQ8Mim+PI2247vwbIc8T3K3vKvADj2Wr4C8HusQvc6SpTyjBms7Fb44PBktUzzJTi49YNwEPQi6lzsPp2C9cERuPBf5yjwyM5S9RMuBPKH1zDsE2Wc9OMvJvBfawTyAw+488ItWPdymHb3cD2w9dsesPKPqjr3ZAU686xElvREcGrwlxxk9R22EvW4rrrxUVcM8ybKQvU4DEL3vlC89rQd0vbx9K7yAN4875kM 3JvAO6ej3Yuys7jWUCvBYn8DuII8G84UyTPSIknj2iCjw6Izf2PFv0AD0ehCM8MYgePXfTerwAwRa976cCPfisDz0JmDS9lNlsPW4K9Dwu0o48fqbCu98F5DnJmVm9OBQUPOO0Njxpbm+9ST8EvD2vSbz7HCs9osnnPNL+lz02uaq8Y+bAvInjwDwGCIc9HVZWPX3bf7x3/gs9rahWPQj4gj09Ixq9kwmOvHVxSTwqj0480sGkvB6l97ytC6I8VhNdvd+D07w6V/O8n8YbvTYUCT1jz2g91o3WvF7OBbxJzXs8xZanPfYSiTyehra9WCJMvHAq6r1lEeY800UiPdZ8CT1gvmG8h/iKu3rckT0eSdg8mDs6PYGHvrwJhkM9vd/8uxtEbTwb0aU7017BPOtjlLxMIG+7MNduvW12wzxX96o8smIvvaESIz102ds8WFgNPNSNo7x1WFo8lkpTvSjFJb2GF388YLH7vHUlOj0c9+C7JZoaPNuUpry/1Gc8d+FyPTYiDjM 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 QmvRMRTbx1/yO9DB8cPbPuUz2aUya9Mz+aPfvOxb17ZIM7buysOXZLtL1J5ZM8vreNvfjjlTwVSJE8VAHPPCBU571+2ZQ9IMFgPPzxhDqeYRe8D9aDPMwcgjxKaFW8gGMwvVN4sj3uv4M9KhQJPKMMcjtJFqk7LiK5upOycbyHiwe9rGWNvdddNDyiDwM9YflXPWsBYT1Yipq8MwcFvOEajL2jncy8mipsPPFAaL1vYNy8q4M0vef5lz1Q+hw9Q4qAvH/q/zy2zyo7/Af2vCyR1DzPWP48Ou1vu67jDzyAYhE9LbJIve3vmL3OPjY9DZcrvPFOML0TcZY8FBtbvZdq/rzQthI9IMIoPAaeQb3DNDg8Z8iLvXOS9z2s4lE6IwmvPAR06bw9+5U7tJqaPGS08DlA1+A8e9ZKvDfxRL03kSO9XGlqPIhCfT2on/28s2UuPdrCwDzeojs9fpTdPKWWLTslyHM9pGx7vR0tz72GoJI9uZCePK/RsLoGg8G7w6tbPUXtujM 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 R7vZ/maDwl3Be8G2uPvDaBgLzuzUG9aLzbu7W9cj3rBr+9hShaveLWgL009YK8pzoaPehEKL1KngY8Amq0uh+AuryHHVC9tArlPCTF1TxKC0k8Yi+SvFqskb1/fI09kX7IuxZTnr1tWkA83ncbPM5v2T2oRjm9RjroucXG0j2bNKk8Dyw1PdSSKL3V8Em9c0hVPTC/cjx75OW8q3WuPRlHcj11esY8ey2GPfoHPjxR0lu83uD8u/YnIb3K03A9+a2CPZqPAT38AKU9rrFjPKl6hTs0gG89F/xhvA8Ymz1TDwU8Plk4ve/7HjwjGXI98tL/u6QG3j3sOXm9K18HPdn51j3Ljaw9F/LyO1bmAL008tK8IGocPaPoBT4sO1Y9wDeIPdzhVT2BNMC8eeKCPQNt4T0wacc9yDQ1Oy5lvb1aagM9m1iEPUdrSz22iYM98wvsPGWTUb2Ec3U8m7SjPX5DFDzfNnC9e1qdO3fPAT2mCI09j8EhPf22XT0D5XI9PyIGvX+oWbM 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 2jWPw6ysAJPJgwKD30dhw95Et2vAXfoD1hnyE9ckJgPerabDxECvu8lCRHvR02oD3ETmM8bDacO9+4pjw/wSu9qZ16PXkKrT3cwpI9KtJOva+zdzz+cSG9fAayPU/Dmj0cwFu7snIGvYTltjuRWU89Me7dPJiwNDmxfI28vfNxvUwBV7wcma89fIKfO5vYhjsR0uM8l6QPvYEARjz3r+g8uhSzPXhWFDzEabK7PFw1vDGLozzwYRc9rKwSvH9oBL11Eky98ksvPaCq4j3R4b899PARvHzubT0S5a28V4ynPMEBTD281lw9o+lLPCPjkrvkn5w9LQvDPUbC2T0xRpO9tKkjvdQaybxvbMM83uoGPU++Kr07NdA8n++MPAAl3rtWsVk7QqyxPXxJRjxaHAU6wI8PvQtxEDx+JHQ8VtjavNQYUrx0keg7u4M8uzLqZL2xVsI8kr4APcgv2TzFvIC8hF52O3LrYj1UnZ48BcaFPaLbIjx9I9o84bTqOw/Nhjz/iMy8MDM 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 2Igc29/TNzPat1bD3EZ849IBFlvGVz1L0ow5w9McYiPS4+071RgdG8j8LcvStfGD2wPpI9O40Fu1fkNb0H8/8846eavRoYUj1/OZc93GhJvefH97yVzsq8Nml/PTHYmD14Z8c8ojmPPcvrZbwWLfC7vCcTPa1vvT2Tn76814tjPaGcZbxnZyE8OKPxPEA1xLzwOrC8jEcLvNMw+7yfSFm9eMHsvTktqLwhidy9IOIuvhpzwD2VpJ08krhuvUMOOr5pheY8faTivCN/jT0zhW29TCUJvUuBsr0krcO9PLYEPhiPO70tH1W9viwdvbI6MT17RY69ctsTvepw/bw7F2G9pvYHvqmQ3LsuP6s9fy2rPRVxDbz20Ni9DtJ0vCdBhTxOyIa86qxoPAu8jD1tvjG81LtgPEPsET1gbVC9pvYdvRBkF72YPKa8EwEEPKkvF73UYc27r+iXvOn19TrA78Q6KH0JPQzRdr3jgGE99mUBPLnIiL33mgM90Ia2vcXHLT0FkWW8WWM 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 wNEam7ZuZhu6/LgzxR0FU9p42bPIQlv7wyb+e8xw9APeFZEDwLJRq9VaWGPNhHRj2tNQE9aqW4vLGxQb0JrJS926NUPR154zwBMsc7RN1uPY1aqb0yz5C8Loq6PZdPtT3n74499927vUWaaTuMndI9TFjNPXpSjjwKC5E9Q+NJvNyOEb0zeQ09dTDePUc0nT2pBJO9o5iRvaywUj0l6hE9/kbru23XCjwYmfq81U1euwuvqjrLXTA9WguUPDNGx7w7VSq93xc9PZtorbze6U+7H+EQPKN4BjwAHKO9w5t6PUbwybwvF3w8K0SyPFarODwdmCa9DqHtOniNPrx8D1g7nCk2PVuzrTwJa1Y94JbPO8TCXb2OJTO8mWGPvcz9b7z9kU09cFqFPSX9rzs4JRA9NjSZvTasTr1ZlQm8iKqwO90RI7sPEJ68xbpgvaQoX70YXvc8zm6APX9siTkZIKq9wQ0svcKg0bu0wpS9aCQ7u9XxCj2WfRQ8j3kjve/CKjwXuVQ8cjM ExPL/6Y7xvo1Q9rUmBvMkAW70qUhA9My0wvSLPB7yH/qa8mwvHPfY4WD1/inY93O5fvV1ONDxbwdC8+zo5PaHidD2s1LK8frZpPLJqiz0xMxQ9fn9RPd0YRrwuPim9gwncOtMMyrwOh1Y9XqZWvXrQ3jxnaha9WcF5PRV5nj0eO+I9hlhhPS2pMDysSjA9Z9Ulvb0cPLzTRq88v4UKvv+1DL18lgi9h0+OPbT0+zyKF1g8FF2zvJC+NTxDB3a9Fn2jvNY1qzsgI7W8SZ8uvTplcLqKRDs8r0OWvD7wbz0u5EW8YykTvcczwb16Zsg8bbcfPFCtlzx2DUK9/VaIvNBYgbvze/m8zEH2PEcJDb2NCyQ7V6w/vYoMWbxcPtA9R4fvvYXvF73SO768ef+mPNzkAj16LLM9m4whvX/dEzzM33W9JM9DPE3MOT0w6Qe7OM6hvbdV/Dx3NtA857HBPOWQgD3zWYi88dLtvJduEDtstg+9u/vuPLwnyz23B+K9ZC85vUXYXjM 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 yTX5K9NYaOuqMqbT3yhhm9/wJ0PV38TL1qrj+8NzrAPeMdqj0k5HC7jatTPCd7jzwU5CA9e6WIPZjU6jzkILI7xgYRPW6W8DrS3nw9gj+UPdFW5z3HXK+6Ii2BvWOL4TzZO109TsvUvJj7j70roc075MpGvRP2sr0aXbG89UELvZuioTwTMkY9s8AMPMxR0L1Tnb26ot2gvZo1Bbzm+LC8ZGNFvdNMbb1isnK77F85Pce1nzwDL7A8amsbvOoyW7zVE2a9SWgMvbyMuryNKsq8gnBdvAm1lz0mRh+8BjyyPHC3O714goU83KgRveHXrL2jQfc8qajmvKKsRrzeu5K9d0oyvSBgozqHt7Q875vrvLJNPL0wzNk8fshxvZyIwbuHkSi910ibvYlGb7ybBAy96Nb5O+cnxzzr2fM8bo9FvYmikb0AzKw7AMewvOL/f7yxSY28vVgOvSJW3Lty2Oy80pQTve6iBLsi6GC8xw00PbWdUj0c9GK9R/ycvWuifz0JpnQ9NkM 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 3++Q07N1nHveHFQ73v6449lpY8u90r2L15Gsk97rcQvc1Hrr0yur28Xl71vU7UtDwQrLS9MVXGvcnI4bxTKrS9bM08PWPopj3VqYW8qITLvbViyL3UUEO9eBFTPbkPGbyMIhO+qe0ovZMXwL2k6iA8cLVjPebhfr324pm9qW2UvazpB76ed7c9Lt2nO9wSKL5G6IM97lkKvoAsHb3hl189u1b/vGRhgb1NTKK96VmwvYwZ8D0qSqa9X1DgPWB3E71o/hc9slnPPdyk3LwOEZi9szwpPVoJFb1ItI4963VMvcXbbz1J0Lk9nGLHvXljlD1cL5k9XA3vvD15uL3gKKm8BO7xPQ8vKz24J7u6UcoLPo5I8j0cbbm8hWZ/Pes8tj27x5o8QhWBvcNJrDymwJW8uPzKPfG7Nr0o1v46WvONvQffDb3WZbC7W03kO3vEer096dC8Frb7vQig5ryRFwC8Se6zPZxNzjz06k49OdaQvU095jzwxui6ug+RvYTevb2TC3u9ZXM 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 yQAfC8rWYxvc/cIbzUAQ08T6arvMzdmD0s4R29MK4mvZQtVLuHkpY8RLu8PWwZODyy85G9Ip/YvS5ZebyZcWE9c8AQvTWUjL3eYeS9DVsVvBXbEz0QuBI9+SOovCYehTuv0zK9ow4ovDTIXDzyCUq9bSekvQmchbyV/8260cinPNQu4Dyni1M8RHM9vaMfd73M5E69MGJyPS1Mnj2YzoK9bT3SvNyRIb36isy8gnaPPceXsby1ALS9xTrhvZ3pn705lrc8A8uAvc4lD72wno+9gL+1vI8rzjvzi9O8wPCCPCqfXbyYb689xTVDPdO/WrulSTW8x2GfvDipED1yv6883Py1PCU7JDr7NHQ8SzoGPXBYgz0tM/a7Gsi8u/I05rzOf668tVAaPBKMaTvSgRG8vg62PTuGez3ZEjO9sQMPvD5AhzvhzlQ9on6tvL9T3jwjJ0k9F/gHPZW1DL1Jt2W9tdC7O9DmIz0FugA8UwpyPaQcfr0GRk68470Eu6kSBD2dmSo8bcM 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 j+ulRbBD0O5wO9Lv8evD776z3OSkA9B0yNvZrUc72W8oy823yXPSsatzx07b69g+CyPVzWz7wFT0K8oulsPGSg87y8Tai9illNvGDxPr303+U9+g4oPdzrgb3E3zO9umFxPZcWLDxtIyA98pmfvYXWnjypsAw9LDRYPcTQLr3KIvK8sxlYvQKxzj0uwh0++BJ5OdOGAT0Y6BE9rgaRPUd5Dz2J78w8p73vPS9g/LorAGi9LeQMPqBvJLzwcCw90JOkPKpEubwLo2A9cCo1PTIdwT062i0970dIvQZYvL3S78s8XnO9vepmkL02AY+9Sla3PEf8pjx2/ya9u5BLvAMYIr1uf7i9Yhp0PKTkZb3PigG+G2mIvfEq/b23YhM9sXPRPIGyv72zm8+9E2/YPcVe1L0NSUE9mmERvue2lL2MU5y9ONG3vTiye7xuW4k9YAlMPbJEGj3W20Y8alt3PCZY2LtjV3C9w2gGvTWiyLyVqA08wRlCPKbBHj2dFRK7+M6BPbFn1LM 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 vtSRO9MPE6vY9HNrxpWba8nce1PVvK072I3/M7GXIyPQXePTy2mmq8rZMZvaqzgb31YQC+IxvXvSJGpzzW2gq9rLinvP4dwr1IIEU8m2MLPbYYkb3Gje28bnJ4PFKJyLy5vfC82U22PQcja7xBIZi9geafPBhbaDwa7cA8ag+6O5nyW70TUoc8fgF7u4PJGD2waxG9lFclPCKB27zLwRA83CsIvrWAh72Xfay96bkYvRa2nL2cE5G9K6bSvUDTgz10Oya97Z69vFxuJL29Hnu86OKOvSigmb2CD+28Oj6nva8qfL2qmpO9lA2OPXW5A72auri8T8KmvZ4bXL0FKV29+Ek0vZH9VrzMjqu9vkA8O8wPo71uPJ49Hit5vfU7XjtswYO91m+xvSkpoL0pZzw9FeeQu2Bkp7ufQAC9wUg4vTiMNT0DjIQ9cHc8PeH9cr1xCxi93bmBvfs9Kj37SDe7ytkSvcNnFr3taCA9RrwRPAkIWz2Ugd68ryWRvO9uPLzsNXi9HlM 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 wovdvo9DqQcDQ9A5fNvFYMIrzFAzS9D3pwvZ3nKr04FY49lyXivJHSnD1fX3a9pQVjPWNE0zwQITg9BDhZPa9UJj06xo87cNAkPRQi/Lx47Z68fvvivGo5hL01Jay7OK7SPMmwabzVZhM8N5/ovE6wmTzX9HU8nHIHvZoLqjybV/6867SHvCItg71rvT+9+jhhvT1zhD1wezc9yCgJunKEkrzDxK+82h8rPaS2vDyryF+9DOesOybwNr2Fwk69+ivRO8AVlj1y6lG7pT7nPA7oYL3twoI9UqclvX2dU71MFq681eFuPZaWbL3PGD48oMQZvCyMhLvZIDS8ejc1PCgYhzukN6s8E2k3vXqLmjuhbWc8lPcbvQVxSz0TE/O8fXrku+t2Qr1jbmK8Ht89Pbl5bzzkoSi99G7NPKWxXTzYMkq9laysPdJvTT13eyM8pVgqvQ8aGb3TlGI9YtJOPcYtIb3wUgW97dyXPALpGz10kZE9Ljv5vMAEhz3+Y/g8pRttvHa7DTM 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 wrzzY8S7Y1vfSH+rt1DdM84/VZPQbjpjy8Fl69U0ZVvZXxhTx6PhO9ESp0vFp4FDsimye9lRpGvRjsXzxjJ/084OmBPbTiD70ALTe9JgNUvTreZLumUQK7UweDvTMdXb2So/C7HtobPVwWirvBnCo7dG6EvRxBLL0K0pW92avjO+ps/Lun/HK9TM+8vD5C3bw8gEg98+Y9vbIqT7uAFpG7kPjtvTbeZ7xkXb888K+tOzOce71Wbda9A09OvY+VI7wpdHk8ljEzPbDR5b0T0RK9g2IVvTIrRr18QCG9zcWZvQu3Ab14t1m9yhq4PJUjXr1loWE8cxlgvOBJZL0sSFm9fLH7vFCJDDynxya97Ey7vd6NKL33NfI8FfkhvTShxjwW8ee9nTukvFvaAz2J66O7733CO1TZlrv+Wsu90ZTHvZnBebzqN5S8tXYNvSKyYb3uFNc7yTfLPLWLPbyhqDe7cIOYvGDibL3papq8SwEQOowpKL2Ht3s96K7suzl8eL1eKwg9fjM 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 0AJzc8eSbRvH9PzryeHl09eqijvOn7VL3dfG29gekXPcmzADwQAEQ9LyomPFCpMrzFLYa9hZYoPaNFpT0+Eqa9YVzPPOaovL27RZw89CNUPcySOj0G/TS9lIbUvOtWybxlYs28HC5hvDtgOL2RGUi939ievY6yV7nuA1I61YncPG8Fp712qbu8qBUjvXnka70W7fA8YDeevc57Bby8zc+9YaDFPIDiWD24/JY9MUb3vIhkqb2F7Ys7S6ipPFrOVD0pUjm9gK1SuzQ6m7xhoU89GlNiPa2WLLzBXFi7PuaNvHSfXL1C6Ds9Lo7AvBwOl725PaS9pCGPvQBclTw2SoY67pkNPRMNxr3Qkum8tuA2PGBN6jri5ma9lPJIvSrvh72dxoq9/vl5OVSlkb3Ujeg8SudYvSbKBr0OeHE9x95du4Hm7Dyk3cK8hYVJvTy4Gr1BgKQ99/w/vHLcjTxNaJq9CIybPcW/ZD0coAc8l/gOven+QL2eO4m9n93EvYz1H70CeM+8ZyM 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 1Q7Sm8elz5vHQa9L1W7HC9+vkDvLJMgjyJSrG8rVqIPWUNbr10aT69DLcuPSREvzywceG7W2Eyu0t5iL2vIY89DeeHO9c9mr2tkHc7uQy5vV32F7sgn4s9KtkBPFn6eDwn8Lk8IaxePEwlHL2wyU87q/TwPB7VRr2ke5M9k8t4vNK/H73qwiO9iKb7PF5SkLwHx4896RUiveNHZL0ryGw9RxI3PSqr9rtY2eO8rWokPby4r73g8rE7cXzhPKsc7bzkOEu9Ou5VvIEskD056ns9L2a7uljfjb39GiC91pKNvUEPWbw/oCw9bgKqvKCJbb2cBb680Tj4vAFLHD0t3sE7ujIVPNjUl7ztv6W9O8bSu/4QjD2o7rU8WAKqvR+mpL1QeQk91BnrPIsEDLxvK5e8qs5EvfDCfDsZlA8909lcPdbJqbyC29a8uK22O7E0HTxp+Eo9r2FXPV/+hL10Tp03hlyavYzMPbyBuu07RJBfvb/EM71R8Jy9GcM0vdshrTt8iS+988M 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 1JZ0Q8Zy0EvQANMb19Eoy9YZERveQwOj0W8pi9mWzQPK+5Rb0N6K+8Xl8ivIS3G73nCrC8JyfBPPdQF71Tx7Y8UrsEPLygg70l+js9dMnNPAO9rDw1PBe99GUkPdzef7zsg1G8cTK7vFIvSz01+HA9YHB+PTzHyTwpI+s8X3iYPACqpb3hTCC85Mu7vLRJOj0Db3W9od1+PbqSJz0sQIm9FnlEPD4cXD3D9C+8PYvAvCzsGbxDiGi7uKhqPHBMSLx80r273JujvDvGQb0+Deq60f65PMx5zTtpPIS9nD2SPdOmIb0OUxI9/G8aO1qgu7xyHFo9MEupPE12lT1vgI49v8IDPD8l/rz34gM9MSwgPPcUAD0agxA9WQ0rvNzqZjv7+iW912dlPV6j8jw1v9A9BmsYvVByz7xM7iu9qI93vEYmUrxW/H094L6Lu64AsbpOIag9TFecPfKHmDyebES9OFKxPCigRb2tpWU9tIqZPR4ZG7s3EQg8e3S3PG13HD1YE3891nM 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 XPvD+0Eb1PmiO8PmPaPCKEDj1MzK+8HumzvS98k71Hbji8UT6eu1zUJT2wrF69lhZjPO3e+jyGR1M8gvJFPYEtbL059Sa97du1vZimEr0bvTs9mx3CvEbgbb3i1MI8Ajt2PY1wzz0QUwS8elicvALoIT2cRrY9R+iwPYAhk7xMhlE8+oGTOMKp3Du1/gw9TzulPaNfLD2PsBu9+Eneun7WC73XtKY84dPOPGTTKzzF2dq9O713vFtSeT3cjzw9dxRXPIV40zz+0Hm9/X7ZvHYul7yQApE87SbIvHTDhr2rOk+7+M9DPVWN8zxWADG9VevNvNECDT5TmaY9vQr6PdFYjL2+HIO9vfRcOWjMuD29BN480ul8PAI10rynXI29Q08XPqEFdT1YjV89Z1+mvCW9Cz3HmHu8t/fhO1hkdz1u4rc8MZCfvPQlNr331G09muJJPDqYnz1y4EI8HQQ2vaxJvLwd8Sk98i+/PRfkAz1YZhg9APyaPPZSqD1PzfY7Kx7VPQ3O8DM 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 0bGn0+LA9PvpSxhL+QGQE/LPSgvounRD/gPaY+aAMrv7qwA78cazO/MwRlv4Fd9D66A0s/7KuLvjaQF7+99im/+2ppvyXpbT+EIWy/8yVgPwJx2r59XaG+URJEv6i7JD+y7Wk/5z4Ov1n6075ToIq9MZEJP+kr7j609Qm/j5ozvyjW3T6BQRs/AMJov/6uSr8KIIG/WYcUP/M9Ob9Js/A+Z4UgPrC15j55VXq/XWtKvxPohL6t7Xy/GT04u49Eqz7RkYA+drYxvUopQr3lmh++", "training_traits": {"structure_gen": "Random", "n_layers": 3, "max_nodes": 12, "activation_func": "Tanh", "epoch_num": 5}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function M z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTM ime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?iM =map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:M this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,aM =this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*coM s(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVectM or(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xM Right),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0M ||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(2M 50,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,4M 18.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,M 111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.beM zierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,M 30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(M 250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282M .2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457M .8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,9M 9.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9M ,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440M .5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,M 103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,1M 31.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899M ,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299M ),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,23M 2,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.beziM erVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304M ,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8M ,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.M 6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62M .7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(3M 82.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302M .6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.beM zierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.7M 99),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.7M 99,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezM ierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138M .299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(M 165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5M ,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.beM zierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezM ierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.19M 9,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.veM rtex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map((M (t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/oM ;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){thisM .mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,HM .__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMulM (e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){thisM .out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeM urons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurM ons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of eM .config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function M Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==argumentM s[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!=M =te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.heM ight=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyVaM lue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("clicM k",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&vM oid 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appeM ndChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?argumenM ts[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoM ader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.creaM teObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="384";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tM t,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=M createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.upM dateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#7951M 06","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#M eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,M Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,tM ,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1M ,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==M Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15pM x"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/M 2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimesM tamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeeraM te)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=IeM [e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(M de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(btM [0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(mapM (de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestaM mp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].lengthM >30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<CeM .length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=M map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(cM t),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),M Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),PM t&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,M a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vM ertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25M *le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm alM most certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=M 75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(M NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your PercM eptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSiM ze(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(M let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.lengthM -1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWM ORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PEM RCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pM r(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5M *le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",widthM /2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replM ace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(eM ,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),QM e.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){constM n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up soM metimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is nM ow in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(etM ,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",M 10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr)M ,nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"M Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b489e7a2b4da22e","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_36", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.0078M 4313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 7, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 3, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "relu"}}, {"class_name": "Dense", "config": {"M units": 4, "activation": "linear"}}]}}, "weight_b64": "DVlIPc5MqT1bMji9JFRJvUanqD3AK468QKIhvXoiYz1vfy29N1zlPOOdYb0SniK9HJgiPAb2Vb1bNMU9SRyuPVF9sbvJphm9rxCCPEKmILvkNdy9+4uvvDt48z0E6j+9xJmZvJCZTz0PPrQ7+CmIvCj+QD3/tRs8p1yiPNhYSb3pfAa853kSvawzlb0Gc4I9z+TPPcbDxDtNZhG9f3MjvbPhGDxkO6W8DECTPf8IMz2I3pS9TgpWPF35zLt0HHK9JFanPE0LCD43ZG29mzp5Pb7dH71FezK9f18xvLdFLb3hF/Q8o7lzPRKD0TwTyTK78ZO5vAKXar0g7vi8V1w9PKv1Xz2INoe8UMgyu8Hc8TzzL9m8pdl+vW8Dnj1RqIe9prOIPPakLrzVNhe88qehvaNAXL2Y3i89ViHiPYkhz7zQ96E8tTw9PWbn07wdYZq8aEyLvOH9uDwcQ7i92M 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 q0PPU+bhb2iCXq7JiglPRdRuLyoE0C6jBcUvJjY8Dwy7sK9c+UJvSp2b7wPDto6ROGPPZpOhz0eZaC92pN/O4z5Q73F08I875KKuxcEgb09CEU902KKPTtk/zvYeb28tXYnPalM/rwUv4w8fNPQPB9ztT1RtI29jbLFvPknZL33sfy8lJI9PEwzjj18VA+9yACkPHXstrvjdYe8ZnuEu8Y8Hb1S7n48pXRIPeCnQjyr8tC8QhUVPfWyIrwaXe+89YErPfkHLD2miP28b7T0PJ3Hvzzl6v47Mj8YvbnQjD0Hm4G8UvLXPLegCzwVfky9ZZA5vQwmo7tadh49aQzHPdqAq7wiX/k76tdNvR/UDb226pK92X5jPFoT1z3E2D87tmK2vWjDcT3R5oe9fUtOvete1j3R4hq92n7SPIA5F72T7Mk8/f4AvcqXsb36Auc4tdXRPad7aDtRSwK97aWSPGW0g7zVXU29XKRvPe6YpzwTfBc8JzOPvTvLwz3ncBw8eyzNvY4xgM 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 IYXundG7b1NmLc9mTBDPT8RV71DFXu93Ea6PZAu4byCZ5+9Cm8nPL2xZz2+J7q9mwosvGMCcLxLdCa99q0svc33wT0rooS9k7fGPMuOpryzsJA9E0JlvQu4l70ctWM946yXPUglFTt7T7i9uAYnvHD5db20pna9ZwCEvKOjcDwVslK9zL0nPeGn2rsbpUY9JXoCPJ/40j2Iv4i9g9YpPSuDbT0YO308fkIKPYy61byzY6I8ihaQPd5kj7zZiRy9Rg8bPSZatLwkMFk9IHsOvMvzeLxDhZO8OoQWvHnTyTyVsCg9RpxPPWbyBbs0ouq9CNmPPUCLv7zauZS94qQ6vRG6J70zzzK843DLPJ69eLqKs7q8d6SjvYtpurwyvoo8aiIMPQRcXj1O2cO7Cn0NvY03bb2UzVi9qeaLvX+pxDszqpi9KcBgPdq8GzxBOqe92qwkvWn2n7wHRYi8fVEkPcWhujypeui8NCSCvFSkj7uBcdK8gK7pvLd3yTwMm7g8gDpIvSVSRM 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 z0C9OY8JWqNvQSyFz3XT2K872KTPNsJtT2Db269rWanPWjW3zym0BY9bw0zuxKei7o6MXu9AdOjPHvQTT0yXq07v6KxvPVldz1SkvG8N2ylvY+6L71Lk5y723nwvFxhQb03yFE98DOfPXXUmzsspte9pIkmvGgjqjyvsoS9yj24PfeOgD2HP2Q7a3RFPTYJvTyHov08lOh9vZwckTw7GzA9+3rfu8U9M71Pn8y8c4eJPauHPrwy/wg9ocaCPWVV2Lu0jtu9EGEEvTxjuT3UaHK7X820PW0Fgj0acEQ8Rmo8vJxqozw6/7c9ZSKGvcVH2TyhMNA92Xwgu6McUzrhUgW9cLNjPRcIDjxymWM9PkilPezGBbmXD+y9iHervBWhjz0L5o48TnpwPZv5tDxka+e87A4gvG45FbqvSFw85/M0PTrpMr3qH6w9HGIlPSBX/7wExg69g6mTPAuOTDz2TV09B2G9PUR4ij141+69+GdbvdN+PzzvM2Y95vWxPbzRwT19AyO8NM 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 ti6vavPqjzpoL08xF6EvBxOgjy8uVC9PJb1PFqYQzxZmXQ9vLOwvVeKUTwtHWG9Ba+SPRsVeb2HC4G93KuPumXdvzsCZz08JDHIPUi3Pj3GeBU8DiNCO6NEHb0wZKq9OygpvUJXwT1fwcm8YCmTOw44/Lziiso8wasFvmNlqj1PM/08mCoAPr/qir2I0UW9tnThvNAnqb148dU8sswtPrZyyj0MVyy9qdoTPZDH3byMYM692LFwvboYLL1Kam29VUL0u1DchLwMJ/k9JykOvOJVFjyQpZq9ZqPnu/dHoDwhIa29mmZcPcRM1zwtJX69zhPoPXIqdTszDSa9Dd+Kvfbc97oWE4G9ch42PTEYLL3LdHC9zqaGPU9BTDnMQCY+BXJfPZoa4rz5rgy+AxnJvdamdD1VF7u8laBJPUfq9z24/Ng8fKEAvWb/wbw9wBu73oQ5O1RvED2JbBg94WTuPUwj9byLrtC95OjJvTFcHz1V9xu93kurveZmnLsR2Ty9ujWpvQVBnM 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 t4TvOBRSj39AlI9wsxBvRvZdr1C38O8+2dku48emz0bhs89Ad28vIqK5b39PR09yjIbvgUlEr4rwhY9NGeMPRj0lDxNdAO+fFK4PQqqfb2auAu+GKiIPP++cD3PMkk9J2fLvdQ+Fr2aY9e9EeNjvWm5BjwVxCQ+RZeIPferH75ORFC9bOwMvlP4hr1y5lY9RcyVPcnULzydtVW+RfgkPO85Mr0Mn8+9i3PEvY7JND7Inag9Sdl7vVWWfL3/e0a+AgluPPT1uL158E0+5CnbvDAfBb3PLI69roAuvqx33jyrn6c9ho4aPVycmb3Cq+e9AgcAPSHL9b0mEre9TYz/vXa/Mz7hkYg9loMQPYO7V72bphq+xk14Pce/qb2DBzI+AM2oPUhXHr1WhEq94hQ4vnfWwDwlKBq9vGSgPUvrVT0V1sK9SGgoPV7kdr08fi69S6A6vVgI3DthrLU9L7HtPWiBxrzVL4q8hqLIPc29C74kQv48TKDdvBxRAD6xvUO7k+IZvU780M 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 6jQO4GXHDxJ/ky9E/r0Pa7pcj0Y1YK8MLuLvQSBObs9YGC9r1ArPfm1njxYIkM9Ay/jvG4srLzOaPi8HpvLuy48jz0Wd0U9VS+VvbxRXDzip4i9PRsHvvq6gz3+SG48AFuoPaI4Qr14X4Y9Ea8dvYi8HL4BcQK5KUnoPVr+uz36Sw6+Fx+IPbW90b3p+bm9ya7kPKtjOrwZwx09dqsYPKQ6KT1xecI9BxxXO1HRpTw9gVa9LMxZvEniND0ZTtE8ElPmPeYDa7zMEA464ftqPEgIwDxgLdm8C32hPVtTSj2PLJO9KIZsujVDS73PPbi9/hm/PV2phLzXXY48B3DlPZpNAj3Y26m94eTtvU8GCjw6+nw9AC8JPpw7VD11UUA9ByrXvNORVr3xCHa969B7vDAnmT2q7ZA92FasPegyQT2xk7W88+xMvVwUOT0+Fem9n7jSvY3QrDy0KJA95uo8vcWeur1zI8c9RoCevHyw5L1kedC8H1Y0vHEv6LpkBRm9qk3UPKpnLM 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 QyUvN0y/Lo4Q7e9xGC5PRMnej1u0Da9iG3jvdZkCD2GzeS9IRfbvX3ArT3Pbh49txikPXRBGL6EFA09SuwtvuBC173qOJM9FNKAPZP/qzxTR16+Bi2aPb4tBb6SR1G+rQshvcrToL3gdS69iWEFPmWirb3GgOs8D0dVPRDcTrv9G3S9jzFVPUGxxj170Rq9xdzSPeS5mLyyFH48/vAdPA7bmLxvocm8r/jDvAYECbxz6Vu99hOHveYSvr1Taia9cNlEPVjunr2xpo8978+SO+q+jL2QLem9Xf0IvXHOlDvqXLW81D5jPY7iAj3DYpY8yvjluwsfNb29j1a8v2iyvbGiwz3YBro5zccZPc3Zb73oq7e9VN89PLkAnbxyYIM9VJWqvXwPKDyQYoa9o9K9PZDhpzuh4RG9UeFBvfk5Vr2y80K9iXetu8+rQz0pdaa8XUFbPGDa9Tx/Ei28vn4KPVaUQT0JhmS9JoB8vXEjTb1IM2i8/pifO6jAEL2LoGm9dQBLPUWeRM 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 5aMPBshibsP8Ka98SEkPTljO7xdDYq9172UPaelAT1jaVm99lkJvl/Shj0wdZK9P8bjvbVWhj2l4RK8rLgXvdACRL7XK4w9D6GuvWBIQ75xWrs9k7sPPtBdB707nz2+6TFrPXq4y71FQFe+fQ/1vJk4sLxksWe9SLI1vF1cY70esNA6ky+IPJRO5rwfOZi9lOzzPDIjfjwF8cy9ZiiSPVuJU72Vk4q9pf4TuztogLt4hai9VcrzvAlKKz1L4rq9Tf7wvKy1Krzwqh28euuUvN7kjDuic788VvhIveswZLz221K9l3WvPZqF+Lxu8c688vfKumEmgr2K7s47Ktiuu+GKEj1OL2q9sCF5vV8EmD2azAE8b+uXuxyvFL32NFG96uGHu3k24zxUXoA9rkOFvVsWhLykC9a8fZG7PXQupb24fR09G8mUuzTRiL2slEa9wlF7PS43SL0saHI50Lo6PWSMD73PHWe9qp7cPIHejDwuY529c3xCPU+XZzvVXJa8yLICvZvsTM 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 cwSPQDtVD0kKJY8WVVhvDWiKLzuc2K9O0p9PAnNlb29PZE7FGIEvIMt8DwGOjC98ksuvFDjTb0m11y9KrOuPOoJKL3OeJc8ATazvHMTJ7z8dHw9l0kxPYpzGz3FtJ08vhWhva5dxbs6DDy9LMGmvVvc7Dxuzsq6BHS2PXcWvLwF+ns9jOezvbzk272yHUg7oUkTPXwWFj2LkcG95vOsumbYJrq5YvM6RH+cvGOEcb0xvh28u9PvPGyHcLy8uCY9HBIjOzlMr7z8ooS9pm63PG+IXzywT9y8IzlAPdyDer38clk6vHPKOi2tgzzzWZi9A/BEPTyWxzvTRgm9uR/yPJkzk71P6Ma8nu6kvTHWlz1hchY9XTL5vHHJuj247cS9BtqCvcsovL12hLo9hVl0PSza4LxKvj89Axcjvb0lKL11BfC9aPkAPidD+Lkn6Rq9u41yPT4Y0jzMJqq996ZEveUZtjzJydm90PmovQbmYTxiHz69ABzEvUlPBL7++rI93rJNu8EWyM 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 Tw1JVq99ePrPROvpj1Mdi09ZbYQvkl2Kz1SELy91lr+vUeAJT5YE888xyAFvpVO3b1BSnc9It0XPVFonb1h+hI+NZTLO/6UuL2GTSu+IRW+PBhiUDxnr2+9YnvRPdxX7Du9S448CS+xPEycHz00Mz69RY3APMHfnT0hJ588cfqZveKzXT0D+dq8rTXvPUQIkD0CeDE+tuVLvDy14b1553y9ul7dPM/pTD3Mgsm7Z/e9vWhX9b3Kqgw8f3ZDPjy+Jb41D8U9T/r2Pe+2N74X6+G9M3fxO2fAnj7B3F2+Kg6uPv3WjD6hggm+pB2KvcqPgb29sA4+S99fvgD6aj68MVA+yLfovOl3Db6N55a9Rc35PRgCtLsRGKA9jYXgPf/Dkr3YExC+SBHxvR0zdD6uSgS+M0iGPjtIRD6iuEe9Mwmsvcu1gL1AgRI+IHMRvszsDj4KCwU+zL/SPIPqSb0P1KY8kqTbPLh5mL3LK+a8CVw5vS8SGT1PmeW8B0X5PDl16r1vBSA9IM 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 b0BNge9bsnlPKAsCjo2b3s9CMKJPSAXsbx24dm9tIdGPdjQtz1Fte88vd5mvBouPz3buiI9+hi8vOAAtjzt1Ak9Y/LqPCBs/Tz0qjM8LPRSvJxcWr13yaI8c+wzPRXSi70HLT091ok6Pb2Xeb0xPZK9VtAFPjREYj1/Ik29IAV+PYwz1bxuJ1W9gQUAPWRwKr2oBqQ8DRWvuwYr0rz3QE46yHd4vSKUoTwSIMk8n3bYPLl3m709D3G7LVyIPF4Okb09LX29cFTlPdTZej1WENS9Wu9Bvbt8Vj16lYS9qDUFPUps0zziovE8FO2NPK4HjzrYC/Q88Wifvd/JRz0ZuQI9Qk60OwA8bj3J8Z29HZqePQcNib0suYy419ncPVkalD2ds7478QpKvanxVz0PQoi9X7S6ueft5DvKH5k97QiKuzAEVbzQjEU8TJIBvTIym7wHIzO8llsYvVlTbj3+caS9ZCHdPeBUdL0sugy9j2AKPaM1fj10k4+8px2rvFa59LpHeRa7gM 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 3WxvSk0izxr3uI7BRLfvUUAHj55EvE86RdXvTUh1j1Ho8Q9y4sEPeDMNL4GCLm9GFsmvkOyEb6q0Zw8yU7MPfWLaj2fqhG+JkPSPdZY1LtKQ7q8h+ulvccCN7z9dN08BBpuvYOYEz4A7vy78g4Tvh1VWj2E8mg9J0SqPdViYb7GzTi+UMoYvb+ka77ZI6Q9EmlSPWqpAD4WX0++u3qqPbuSuzsjWwO+XKLhPG5G8jzDajc9LAMPvj3nrz0Gmrc8woFEvuyU5z3KKZc9zfCbPWEraL4DZzK+ybbevUY2Jb4zcaE96RhhO3HsNj4YwU2+xwOxPbMdRbx5Hqe9xdwhPb4yJz0AfQS8aErEvWAPpz1KR/K8LakrvlU0Bj6J+ws9R+nivBcbL74cRBa+b/4WvYIBKr5b1qs9ixQLPdSQzD3Pf/m9ZKYdPmWSST0/YQS+XiuOPXnjEj3j2Wc8WDgJvommNz5xQ0m9QHb+vZAi1T0cghU9GsKePd+BK75CyBS9qfZPvTx1CM 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 LzsTw2+jvitvcJdrj3NJqy9rUlUvoGR6D0RjEa9Rbp2vTRmtr00S8Y96eY+PTSg7708sHM9HlDPPUS5O71MUUK+hjW+PWaViTyJ87C93H8WO2jsA7xbqpO93EygvdmxVz2psZC9l/0KvjyEXj1/L2290uQCvfq3c73fquM9/bJFvUF7KL2W5yE9PXU3PbKngbw4eCW+1sAvPRRJ07yg6cK9C/ojvbsNfLzK7wy9TY9EPEB3cD1dUPO9MoITvdDuQjwOMoC9ZCyDvUh1mDsIbjk9WUEiPTSslj2skgW77kLIPL5tsb3wLdK9UaxMvCtnRb1+MvK83v1dukzizzwfcNm8TFNXvb6YpT0mnl69YHGovTE77zu5WwI9/KqAPG+yGDyVrH47oZVQPCwUWb2Ovm+9uKtmPTmM0TpDCr69/3NBPOcSTb1VDle8wzDtvKbRQLwuzoy8sBzqvVCrJD2JWse9zoOyvYltlbx5h368XZxvvBxwhLzpwtM9fMa+vZJQFL0ySXO9+M 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 MH1vFE/RbwOQF49utrIPFi3Ib0f7LO91GKTPRsSsr1AYim8+bMbPiCgrj28CxO9Sm5nvGh2DT0ihcu9MMHVPHH9B706ZKo9L7nMPKjosDzeOTg9YyWuvJbzDTyXVEI9KixGPd7ymjvpeia9GS/cPR56+r28+6S9g34UPgzosT3zsEu74P6DvJ0hQ7u2O2q9/Uq8vGm7Yb2Hxrs9dSKRvHvymD23TLI9X+TevXXrGT3fEJU9o+gvPd9qMr2F1U69fSeOPeoCG71Cb/u86ogGPsUZhDwRN/k8ooOAvYnoMDsuuhu9uLy4u0Pf+bxLCmY95HP/vAjM6jyKeu09sFmjvXrc6jzxCNA7Hu05u3iNfDv65XS9pSGHugxAw71seuC8pM/ZPWDLdT0g8xc9Sx0TvS0qqjthqgW9yX+UvCaFKjyVYG88+RlzPeQVjrzWwnw9sSA4vVjnmz3xgBM9RYv5O8Du0ru4bve8kQMdPaYafruBRUe9OgblPTU02Txf98w7O8dxPMkxVM 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 r3ySvq+lGwlvcTLAb9LULu9sOKivj5GK7/lGwe/mUUCv93a/75pi4O+Yv0vPzf/Or7tIRw/9k7zvhf9xL5XUAK/IM4vP3nKkD/agZg/hrGoPZGcB76/p90+GMIEP20A8T5OFoI/avlYu3E9FTxDr326ufWMP+RVvb4/848/qPiDvvZpij+xzwa/m9WfvAAAAABQvA4/zA7hPmHjVb8/6Li/IAXmvYiXzL687QE/SMe1vnltxb/224G98vuUP2Aynj8=", "training_traits": {"structure_gen": "Regular Triangle", "n_layers": 6, "max_nodes": 7, "activation_func": "ReLU", "epoch_num": 4}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){conM st n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/315M 36e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,5M 0,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,gM rowth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.sizeM *r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angM le),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(nM ),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),ranM dom(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,M a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.M scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.beM zierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezM ierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertexM (383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6M ,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7M ,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.beziM erVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.beziM erVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,M 99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107M .3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,4M 38.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9)M ,e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.7M 99,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,12M 0.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertexM (163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199)M ,e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(2M 43.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301M .7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286M .7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.M bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.beziM erVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4M ,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,2M 96.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertexM (355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertM ex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,2M 11.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(M 180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4M ),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,31M 6.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,2M 88,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertexM (385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(M 369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,32M 3.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.8M 99,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.mM ap((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<M abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push(M []);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);sM tatic leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){consM t n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=eM ,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];+M +t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeM uronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.laM yers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){constM t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixM ed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n=M ==te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"pxM ",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);forM (var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this)M ,this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arM guments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e)M ,new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"texM t",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=functM ion(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURM L(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="37";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,M ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphM ics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(newM Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#79510M 6"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#5M 5dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}}M )),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPM ixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=M br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCM anvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.valuM e(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}fM unction Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nM extStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=mapM (de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;M Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15M ,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.pusM h(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,1M 5,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.ageM ,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:AM e*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++M )Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30M ,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.backgM round(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectModeM (CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.M image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].lM ength;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*nM /7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0M ,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certaiM n this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textM Size(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.M circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to rM each its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.M text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<cM .length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';elsM e{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",M width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEM AR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*leM ,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/M 2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2M +5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","")M ;var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o)M {e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanM vas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(M e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'M m in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the RM ebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t)M ,$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["M Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:kM (Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle"M :e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b48408f0e08a226","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_150", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 9, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 12, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 9, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 12, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 9, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}M , "weight_b64": "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 9WDPNO0FOo71kew09IxpnvSuMHD2LHke91fDuu+96KD26Z6U9klWDvNuhnr1RfSi8p/rFPQWOrL1pf7k9hFGGvcv5hj3GB7W9t0IjPlXFPbzATMM8kPi8vGzpmzynqrW9TEjevAJarj2bwLy8vYMIvYaQcrsKxbK8PYbmvP/gxbsrXmy86ActvNQ84jymPrY96meeO7i+db3bs1c9UUH9PerzRL2uTIs94isUvZLD0j1K1qW9oJBaPszWLr1mZIG8HCCqO0hDUjvi7fi9zL6OunmOvT0+EDY8IJIpvTMMyjuqaMk8hfh1vHEBLj15tWq9YBS9tkpfjjv8XKY9fAkHPNfHsr0yqBo9K+STPabBBTrbTjs9EH0APGywoD1sUI696pAQPsrBULs+dRy9j1ePvP598jzocHe9XJg0vSEcSz0EPQi9FQxaveX24ryP1F29eNssvTe8qTzM/vc83CcMvR74iTzPSE49KLCMvT9VoL1wndK8AiEcPm6kkbywarw9CrXOPHoM 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 OqD1gro69V8IpPPesGz1RB4A9ydVbPAebqbzjTHo9v7x5vOO2QD1E6yO8llgMvV0qqTxncZc93AdGu4zryLzXLKw9kVS+PYWGkzvAFWs9iPoovSKx8TzSGA++qoYjPhynSzxdRKg6Zc23vO1aX7xWBZ+8X9IevQSgd7vLpZM8vIuVPDVKAL3+nek80vp4vYbRXzzmoiY9s1MjPREz4rsqW0c9XpZ5vWqgk704HZk99B1WPRrpzbygL/I9kDnuvFYwmzzQCHS9WQAJPvnMrrvR2R69Fy+qvEbnXrwT7AW9K2Oeu32Ggj2Nw8m8evoVPMS13L2Leui8q9aBvasr7zxm696840ChvU+gnj2/u6I9FgIEvTBde72w5J09ChqVPbV+x706rZA9rJZWvUsTNj2kp5W9iAIyPlLqPb06koe9ksrtvIJjsLpcuwG+hCtnvIyknz0tGCA9BfwHPQDv3b0evUY9NhrFvTWqTr1mGkw9iUHZvPsw4LtE8Zk673RKuaM9t70zexWM 7VO/QPdIiwr2EblA99nGgvWKR0j1Ihf29BLwtPim0S73B/EC9zCqWvRS+Ir3l2Qy926NDvDu53Twumz2843MpPAj8Rr1B7TC9gqvSvBf4ErzLV+u8DDuQvAsL97u+6+A9rZ0EvaYrSL1wAoE8AQHRPRYlQr2rSdM9hRydvQblrD0kKu+9DeJRPj4V5Twk8iW9uCoSvc1nI72S3kW9YzEHO1+kjj13u/g8w1fYu/T7ir1rC0e9Kp2evUGckru+16W8NgRsPakcOzyTE649pmaavRMJbjyEgTQ7I3bfPa4CYbwh8Yc9heUjPH5teDsFz5K9fSAbPsJNrzyz2Y08YIp8vdnGkD2zzvq9dQWpvCtHiD2Kv0a8m38BveffAr1lpw49lKk4vY2Dkj0VxCQ8jwstOo8uBD1vwKY9GuwxvSzERD33DhI9WWqkPbC9krvKS309ojE3POkhLLy1wk+915SXPZ9asbzQNcO8/cekvDSaUz1YFaO98pDCPQIjM73xIDw9xInZu8cM 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 9A/fHPOQfLb2RlEe92xAMPSY2gzxmqlC9AH9DPGzgnjw1OiY9HiK/OkIxSzhm6928Jx4Kvc+ZEj19F7S8fTA5O1sN1rsNFzo9t8hUvZfl/rw/QVS9RV4SPZVKi72/K2G623AIPXdujrwZG8S8gRE7venmLr15ym27A0DmOybVB7xXmCa9aJCrO7pKxbz82rG8mre9vBHwUTxmMCa7k+eqPF16dzvsZcM7QyAaPCo5MTzXciw9Do6XPFo9z7xvZ2M8xJGNPQnPJrrCwNM8HUszPN3zMD1w7U69OKEEPWRgy7xXAka9V8djPUA0JzxoMVm9C5uYPIqrDj3x+7+8TgE9vIR63byMvhu8syIGPI4aerzmMn+97Mz4PMGzgznoU8w80XsjveLtWj1U22Y8LKsYPa5eXr3AnOi80MtYPWydJ71lCcy9sC8jPXxYzLxHAYy9NXc9vKGfWjymvn+9W2g2PauOXT1ckyy8h1QZvNPXhbsSNJS9a+4HvX4hAj0FsUW886wSPJEM 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 9fzCAvUTRY7yRFCy91awBPbw9bbxauGw8+lsjO6WqVb2UzyA99/QOPfYJo7wHXFg9P92XPESkCT33gHK9th5rPQO1Hr3FnrI7zglwPeN8J713dqy9H/1DPZHlrDsHjT08cuJyuz5wHDw2dgq9HG6QvZP1qj2o32A9u6PPPMzDODw7T6Y8Bcy9vX586rwv30G9xGuIPHaHMz1IN9s7Ukb0PJAz2Tt9gqC9gEYlvd1dG7yD/NG9OJWHPWeYdD1x5eQ884lEPCwnjjzYFU89wyFOPCo6jzymEAM9bOe/veTwOj2d/aC89KtNve1JIT0vlxu9PMlfvVA8Xr0mpSG9xfOKveuPgT1uwEU9kIjYO9rpEzz8x4W9cWpROwyRE73j1LC9rRqEvb6bzrq/iey8/EbKu4AcsT0YpMC7k7JqO4X267zzDe88HLXDvcOIRz1AUqy7vYRAvS0FMz1Wkqa90DEHvSpJFr2/UUa9jueFvQHpDDwxN6o81kInvXrJrT0HAgW98IMbvcOM 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 8fOTwvYGjUz08Ilo9IjUrvuNn6j3Wt2m9EgK8O+XtEz311vg7tanGPUAqRzxmMNi9SU2IvfVFgz2Rg1u9SDyXvbbAET2nBIy809U8PcrWSjzcJ1m9088Nvpg5oT3675a9Vi3auuxWtbwUAqu4AlpnO37q+Dynp8U7JE0QPf06ZTzzK5I6Yhneu34iCb05xCW8/OfgvKk0JD0zDgs40y4HvaKy4jzhkwq+FghcPfPpp71/1+i8YhZIvFeJgrnA/6w9YO5VvQ/kgD3vGXC9B34iPOj6P73IGUQ93/MqvYIc3z3GU4289fcmPMnewzxwg0I+NYSTPYQ3+7y3yMi9DK6du06S9L3QtJI92kUKvZs5tD2xiS8+IqcWvbj7yjxZKMq99TFDPU6oJb6xzgI+RpSbvUME3T046hI+esa5vb6uVT1HG3a9u9tKPQpz8b26T4o8m2LRPFDVcDwhQGg+Lzi3vXZxQT1uKFM8BTdlvEGnjL15F3K97eWCPBZw2Lz0rFk+0jzQvawM 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 fhL44Xdc9PF6zvJbP5z370fU9LZz7PMlj1z0cBqW9bSklPhP0hL7f3gA+J2U7ve3uvj0hUKU9g3ETPEBMyj2mVdW7Er2VPch1Ir5pTao8439nPai9xT2AYfc9gsk5PUHaCjyz2hy9UQk5PW5X6r0/B9c9H58mvRDazDwCHOw9/nb5PDZJ/TyRIRu9pXv0PcCpAb4nS6Q92Nx6vQEL5j3PO4o9UxeSPTNrXT0HyTg9tIEjPSnFpb0Ov3a7pzKYPLiw4jvV+t49bPs7PbjNFb2ZTDy9j8fPO5t0qb14nP48bUXkvVSqaj3gmv09YQoxPS6QOD17WIS9NyGfPRe8N74AGis9aQCsvHsBiT1aQrA9H84KPAFjOTz6DbK8B9TxO2S6ir3tFK+8y/KqOyUamz2y+RY+usy8PU3NbL2ycYa9g6yGPWt89r29JPw8hmrNvWnt1D0qj8g9iAl5PSV57z0mDSS96u1OPuUViL7tzwg8p43pvZsoAT7UTHI9U4AlPSPHrz18l68M 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 9ifoxvTEOhb0FOhy+zynrvWsPbT3NVYQ9f3YVvcrxUT7liTW+JhcdvYXSNL1qPT+8gebZvcQpQD08D5494vp9vRjw4Txpw8W9xfa+vIViSDzAdEi9gRANvtCtfbxWwhY9kPMCPXGaDj7LAjq+NYPsvImoT70v2Cq+Ip79vck7Pby/ZUU8Y6bUvSrIMz7Zvyi+VPXWvJEKfT2I8FG9JCsqvVnSHLxkcA09PJzlvTOeeD1W1YW95JSIPRTmHD3hUsS9nAmFvU6o172xShE9/MfCvXB7mT3zpRG+8L0RPIdusb3Mz2W+l1POvTRUTLyI07Y7LsevvTwujD4Y/yu+HesAvFderDy0hsa92JBXvYwhsLxCktU9bHQVvgSQ4D1uOJg6AZ+zPKpm2by/Ua+9JTnrvRJAtr0DL209MAf0vBiNqD0UqZ+85+0gPBK9Qr1dWSy+0C0jvuLzKL03EAQ9hOO6vbqDhj6/esO9W5VEO+gE/TypQUe9ONEyvca8uL2xjTI9d5YTvkPM 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 zbL2VClk9LZclvTVlqbzW/fY91WigvPXP3Ls2RTE9P/pkvasHe73rfIA8GtBNvYX4sTw8bUg9WY3LvLahFz301nI9Rwl3PexCCL3LN2c9AWJWPSF+HL22z+26qg/Ou2Ah/rzEE4i8+JoEvXdBar00be08BXmBvUS6ED3R3fU84ia2vT08wTw04NA8kSzKPLY6hr3P37o8tMuHPR0uQbyuV3k935KPOoZuG772Ar48g2axvBFfEz0Ylbo90jsMPmGymr3dyzA9ly17Oo2WCL6g2ly9sSLNvRbRyTzsXU09jERdPf2NQL2SdRg90wi4vQHz471DErU7ITi3vUxC6TwOlcA8qXOwPbJ+Bz1F3Qi7GIuDO12oAL6KRCC927sNvSlYFL3jKdI9NP3CPd+IJLyJAGA8bHQUOZFm4byJ/SG92AITvdbGjD0wgIY9cOPQPdpYljwkUFU9M8xOvZ5p9b1tWD49Gx6SveYUnT2T5YU9T3GPPQd9DT3XWD29+fFOPH87AL4ui02M 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 99T4hvQXUijwqioq82S9SvbtJk72jPLs7pIeXveqjGb1UbMO8MXh7vT1RST1yNNM7uojvPML24rtzE2W9morwvNHUazxD4E+9M6K5vOFhpz0wAlm8B5G/vKaqpj2LJ2+9i8gjPTC7Qb0RGxy9AbnTvZ/YZb2PpMo8InlPvZULmjxn4hG9jCxevFprLD3OJqC9kEtavRta2TxJiZc8DiFCvaKRwzz+QDE8tow3PZRLXb1VF+C99g/2vb67eD38jK89Qj/SvbX5Rz4E6fC9rHJMPR6Zir2czIC9nAGkvXYrOL3DbVy8Cjv9vVPgED6qKqO92y0Mvdh4Zb3NqiO+Niy7vEQDX73e+p48B6GqPO7tnD0Ohr+9ZSeOu/PZTL0OrL+9H1CsutxpFz0klSc8QWalvYUPtj0Nxl68zLLmvIUMUT398ja+vIkAvYkmtLz6o308KGQQvZ5zDz4klkW9vrwnvnw5Lb0TpeS9qD7qvOgPAj2iI2c9Z3eYPX68gz1Kz9C94KrbPNdM 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 8nq6BPM3wG7xwObO8WwMmPT+8Gb0TJCC9MacgPeSq1jxg/0Y9vPDYvaRaKj3G1Pi8fOq2vM6ENj0q0p29vxtNPGhHRL1K8Yk80dZSOh3klz3KLMC7mch7vYXl/Lz5uki9ndOkvJZj6rxVlKA9XCdBOyAIXj18/RO9K5fRu7w0p7zXfn68J4oZvZyopj0EHDE8fhDIvEQ2tj0Cbja+1pECvYzo6zw/aom9htGkvS1YiryeyAk91Vh4vPHG2j1YNjC+CaADvjzFyryt16S9N8+TvXYcjTtWtdo9/maFPSPC3bzzvum9MS0+vVjAmr01Zic9rvlfvZ0Koz3zUJg8HviNvBilb7yn5RK+ZlGzPE3cWj11MNI9/a4rvRsOyLzZc2m9e5ilvU7Kob1H2Ym95VXXvI1gTTxq5rQ9TnvSvRBjyDwcvYM994GQPDJf3rynyqi9DgWOvfdxWj1A++I9zJmSvKqKEz7/KSq9Ek92PGsno72rbrC9dB60PIVTWzxPSDI+/8mKvd2M 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 8yq+PuWLoCb0QJ069lhyXPaaicrzCds49Ur/UuyXBlz1MNJE9MIUrvAm7dD319BA8zHtDvAYEmL2joSW94twIO+26oD3XyD68PXMdvQWLyDxtTsy7QgscvUei67opn/e8mDprPE9pBLvZk009Y04PvXdiqbt/NFY9mQVWvEgFi7zVmKU8f48jPaZBXr0BQjo9mFsYvFSA5Dzffuy8h+N4PCCjcb20h/w8NTjgu7TrBr1/fC28lFSLvUbUizyYYzY9IPcEvbtevb05XTI95tkqvNQVgT3aiQc+D5g1PZHrTz2gH+K8yI9NPRZR3b2K1tU8SYijvbbDJz2iRi4+u80mvLqCnjy9Pie9zcJzPZLov70jPdQ7aItBvcQLArznH3c9pJD9vGTw5D1mD+A8WbiYvCM4I74Z8IY8UHIvPGpirbwQiOk9ZlKxvBu+aD0IPB89LqsXPZ4o073Rtf88oCmbvRQP0bza2uM9rufwvAYUVT2CbY+7TaEuvWgdDL4gfZE7m/kpvXuM pkLxWx7Y9G8GxvaF2XT3o8xa9c+/mPO1BDL7PfMc8RsXsuyTkhT2JEiU9tb7GOw3bhz1kP1E8FyU4PTtOb7y3VpE86Z4UvRuGtjyubwg+JCILvTo7BLvhXJK9fqcbvZ7wlTonYKm8xWiIvNN5zjwo5pY9QV8Hvctg1j2y5Va8HWvQO59kCL2BAjO7yhCavB+FWDwNKZG8cjJRvTqo/D1O2I48915aPV93GDr7mv293uUevWaOCjtwnrM9PEl4vfYYwzy5cyQ9rtpIvfgaCL0CuJG9ITPAvUiWqDlLBKC8AfDcvQljaj3Scha8hts9vfjLWr1zm928VKNavcgZWb1RDMG8229xvb1u1T1qEJo9pjPXvapjxz0LbSG+Avh0u3S18LuerRk9xjXSvSkfa7w/FBI8fRpuvWSSUT2IwBK+VcqZvehWdr0ZeQo8mCoTvVxXhTzDQKU9BoJwvVwgzTt/lcq9Zzh2vSINLb3/3fO8uIjVvTiz7T2l0oI8MEz3vI069z37SymM 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 VGz2cxQK+xhWcvfXAsDwRaVi9VgVtPKenwzvjgBQ79SUiPa5uOjxmW2e97RzMvbK3Ar20x1y9oDaqvZK+6Dwd6IA99/pJPV8Lsz1YU+u90LORPPukqL2zH/G8nNXjvSBtsTy5h4e8eVqzvdxHgT2JTV69mrN2vcKMArymlpO8Y/aburcOkLxIbzO9cl0tPLymsT3pjaa99m3pvXanw7yv+D292WJtverRqj2Qmxa85T1XOwat2jzo6f+9iicPPYb3gr2zSjW9DLanvQK8kT0Ckwg9OpeNvavG0j1ngS695fKdvaYgYDsh9aY822A9vcbi4zyjTCq86J4DvNTEYj3UB8S9ip9wvbxObb10s8G93kIQvkOXbz2Lahg9sppVPaZc4bvoLqu9gfYDvT4Deb2jqoK9DePkvUCAcz0lB5U9ADiUvWsC2z1aLdG9/okYvfzjJb3+nxW7x4sFvQKhh70E2iU9hRsdva5JzT07WIy9OTzOvExNt7w/5HG9gsU+vWHi1jyekYIM 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 xiLz3OK89Spr3PfQOJTyFqqC9CyO7PaH8pL1zEMI9G2dRvcNoTb1ivmy8nppHvWRwFrgekqm8bruVPUQkNL12NoW7x+RyvYTPoL3Fvmg8+c7wPOj2AD3+MFw8XaoRPVr/7r0GKOI9RWvAvbAskD105989gjjqPWckW721jbm6NryePZKlwb0T1cU92simvaXnSLzir087ZaP5PH1zOD1h5349UEMTPe3bV7seo/o73ki1PNA5HL3m8Y49HPMQPSsHgT3GSOe7uaKrvJzCcL3SwYQ91UMIvXcxqD17ha09pPQvPbXxm700XCW9cc/TPV3Zjr1PHr89/IPlO2qT5zwQ2Qo9IJ19PYd3vbx5E049hu9mPV+f8bzHXHq7fu8xvcxaPTv+t6E9Ot4avBmTdz25JKK9/mgxvVRBV7078dY96FgavKbduT1gNMw9kIXOPSmt6Tvesou9iI0fPbioCr6H08I6dlSNPO5fbrxYHLg8cN0wvQWXgjsvKM88Hn7jPCHWt703msoM 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 q0TzOlaw9gdmFPSrCLT2pUJG9HqCGu4Ylmb2KJy49PasxPZjqLj3/3fs8cWgtvZAWX723Dr893QCBvXX9kD3/d/87D2SOPbP5QbxEZlw8euEvvBZPib3Ut3A7w8+6uwwwOb0igYm91j+0u2jaBTx470i8g8qhPL45Xb2PuBE9UI3QPNgRq7vKJGe84NGtvL9a4zzHVN08OOEJvd8Qrb0ddtc9ryGGvDEuojuz7UI9pya7PSAOPzyUJpa27MPEPVK5l72TSCw8xWYLPBCRwrwdbU69CniSvNEVq7xXFWc9UNOSPZv8b70puLa87ZoUPWTl4LuqSzk9jDcSPAuyjzwk5u46i8sRO/KYDr2uyrY9wG6QvRlVGj2g7Z+8/+0TPkSXD7wR1Qm9il3/PF0/IL2bSsg8xO2TvWpq7rxbumO94HWeO6q6AT003Yg99cbbPSdeAr1iaVw9gxayvPYBnrtBGN+8rDeMPXVXVT0qsiy9CYmxPF8+2L2zGas9GlbQvXoAHTxDypmM 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 8xovCvSj9DD0mqq29cfg9PFkIcbsgmMq7Qz0dPm0r871hkEM9LvliPZ0YGj0pFYA9RBSuPOMoHT3UbxK93uhcPTzLD74Xaw49mnGJvTLBij3Z8dg9tCXHPY0Mh72bA7O9N4ouPWthEb4opUA8BAy9veBk+zz+X1K9AdmMvJe6ebzewA49nhopPhD92r1uDpw9ds6iO/L4M71c5oW8Rt1JPR/PDT3pEEy8cVUfvZxN472ybcE9WtifvN1hSj1HATo9gVOGPfnalL3sm5i9rTRRPbcLjr0zMLc66BCwvaxihTtXBSC9dPflPFQUhzwxpRc9gDa/PU9x7715CoE99Z7uuun4A73i7am7mi1bOgL4hz2gHH69yGgcvZHxE73/6qI9ISzFvcaRij2Cb1M9FdQAPpvJgb3cCoO9F7XyO3Of2r3bLJs9AyuUvHoSLL0vFfa8Xno5vaCeDb3srB89F7gxPQuEDb0g8Kg9zSzyPBDm3bxelHg9KBjZOnv2vDywc+a7r5qcvNmM 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 9mXCRvjGRuD7AJkG+yRclvc+zQz1i+U6+NfO/PYFVjTxKOWy+Z+CkvU3ytD6YTqM+z9zyPS6BbT0Yj6U9n5jrvjHfBz7euvE+wXV7Pr+vVT+45ki/OikVPyiYML/eSC4/DSahvkMeWT6YsmI+7MjQvvS95b7wdoY+Y8QuP/RmEj9QLQK/EtcmP0V47L4estU+0ioVvv1Cor6heTC/FDFHPXEwQz5r7ho+Usg/P1Hjfz6ZQVe/taN4vcNyJb7Haoe+L5eRPg==", "training_traits": {"structure_gen": "Zigzag", "n_layers": 5, "max_nodes": 12, "activation_func": "LeakyReLU", "epoch_num": 5}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){cM onst n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/3M 1536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0M ,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.ageM ,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.siM ze*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.aM ngle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cosM (n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),rM andom(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.M y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),M e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.M bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bM ezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertM ex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221M .6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21M .7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.beM zierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.beM zierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.M 2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,1M 07.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1M ,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.M 9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126M .799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,M 120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertM ex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.19M 9),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertexM (243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,3M 01.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,2M 86.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),M e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.beM zierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125M .4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1M ,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertM ex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.veM rtex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8M ,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVerteM x(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356M .4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,M 316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299M ,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertM ex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVerteM x(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,M 323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377M .899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>eM .map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-nM )<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.pusM h([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu)M ;static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){coM nst n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dimM =e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e]M ;++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getM NeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.M layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){conM st t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fM ixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(M n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"M px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);fM or(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,thiM s),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==M arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(M e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"tM ext",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=funM ction(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectM URL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="151";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,M it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGrM aphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(M new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#79M 5106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2",M "#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=M 0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loM adPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButtM on=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||saveM 4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.vM alue(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*leM )}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=M e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=M map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]M /r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8M ,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.M push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.M 8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.M age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=M 0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;M e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1M /30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.baM ckground(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMM ode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),M et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[eM ].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+M 4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*lM e,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost cerM tain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.tM extSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),M Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron tM o reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le)M ,o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;M e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';M else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAMEM :",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRONM YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600M *le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,heigM ht/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,heighM t/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#",M "");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,iM ,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeM Canvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];M if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes.M I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in thM e Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(eM ,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=M [["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFilM l:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life CycM le":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b4892c2fc42a226","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> text/plain;charset=utf-8 text/plain;charset=utf-8 text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_220", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 19, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 18, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 17, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 16, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]M }}, "weight_b64": "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 cS957z+uyGTsLw9X707WFdou1nC2rxf8KI9fmE0vTaVID0KKGe9KktKvWPnGr2BoOs8V9j5PBPktrrIYY47nnuWPNjLTzwTgI89GKUWPeKEVb3iEw89SEV3PbsYR70BCxs90sAEvB3xSz0OeVK9g0I2PVz/eTyI6Hc9SlGfPXYsp7y4C5K82iliPHJ6Mr0gMxg9UYrdvB4pZD3VfsE88vDKPEozjryrbAA82fktPJKO5b1TIzg8OCyJu+r/fr13dmC9xH4HPdVeXz1u3WG8HHfcuzPgNTxa1ZM9k0SKuxXa2T1G4a69tPySuvS5ZLu+i/W8ei4BvdlbNb2PBAw+1g9dvbe+3byoFqm7VPwVPashcjxqpp28VHWEPXHfwrxW4x+9o3AdvFFSsD3Z3Ac9QP0IPI+slbxcHsk9z2OgPYIod7yhKBM9KlSGPUdUGj369BG9uzS6vK+NmDzlk1I8YXe4POBJA72C8g087yi1PCMQyjz6jNe8adK0vUDDtjzdteS8d1L8vM 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 4Q8SUBvPU2guz0yNA+9fgJUPXuAGr1hLQg8dLGGvd3pljsnpI496+ccPfk3EjvE0cI8KkeFvUJeBL0F0XI85tKyPaZHg7xhf+e8LnY8O3tJwj3jBSs9setsvJaysjyh50w9SkVzPYHC4b0c5w49s8kaPLdJ9jsx04q9BaD5vN02D73RGGo9cshvux6sHz3a0h07jbmsupMeFD2RhLU4kzwCvj5uPLtZbwe8BxJJvbqtJj06OdU8nXRNvCK0772XFgg9RAB9vAzmMb1ocPy8UHjYvDeBOD3az0o9jTr/vCZ33rxkngI9EOIaPa7nAz45eT+9IcilPYZuAz2tmZo8uur0vJ/VNz25/QU+ymUePOU33jyycAO80EswvIA5pToPhLE8pGOfPSOBJbyOzdO8ce7HvAMbkT0+m009/J9NvA8QLb1qVYQ91om4PZDbrr0YVHu7z+4BPVgIFrzOC6m9F6nsu5/uQD2JNfc81zV9PcEBPjxXXMG8Hnrru9L7FjvZuAy9DCudvM 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 LK2sLyIJL+9ankkPXmT8jxO1dQ81o3ou+3zsTwkano9IMMLvvJIo7zS9/I889M2PT1qUj3BstG7jvjYPWucN73sFwY9FtYrvW5mZj2fGJG9GpqEvZuWaD3ZAl89MjozPNRs7zzX4nE9yYeqOpJ8RD10TXe8Zjequn+FJb3q9Vw9eReuu3kOJTwyzok9KiocOzVIgj3YM5K8DobdPOB/hr0a+NM8ZF8UPcX2uzvByby8g0+9OrqCF7qwrB088o78vDDOjbsvi8U8qpEiPXEeYjz/EDk9CoYvvcX1ij2f3Ta9ZluQPErTcDzQv5q9P/P6vBvpWD3W3S08Ea6nPPc2oz1C/r46mWzOvX/ZjrxYREe9BUNhPXgv6DxN23Y6t0irPTytYL0bITk9SlZpvC9Ngz09v4G8SD6Ivbw3fD0tNro8B7N8vUFoEj2ewog9zUdKvTtFsj3RxSO9yuS2O73UQL04tA685DMrPMvveD2O3Gw9/UQsvQQ3Bj211209IgGmPFSKu70USM 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 GSS3DzBaTA9OFWxPX3fV70nU0c9X6opPe89bT0o/pC9JDzSPLApO72UJXc9yfkoPVc/njyCj1E9PQgVvNsNLbvk6489FfsOvf1oKTxCm768X6VTPLEsZbzWuVm9q/+GPFQ+KL1KY6s83NQuPZQn67yEgKW9eHwsPLWQG7wRm7I8YjSovRAP+Dzt6609almRPI6xHD5hXLq8NhjzPMkWqDx48b86sQuZvc8t+bwKWsM9SswxvRlSgbwtuds8Nrg4ve1RzrunXLC7CYtwPUYNGL3uOrg8RphMvXYowT2+jFI9qeDhPCdxbTpxvYs9Jv9VPYU+k70J8HE9i4FyPVYYWT11Gwe96xQNPTdie70b1AC8nwPnvLZW3DtL7gg8s4MuPIV3tDwrwnc93HnavcPAzDzM2pI9tWRJPTvskD06gSS9T26hPa1W1bymBb89DTk3PXUTl7zsppi9YlsIPfLY9zuXoEs9unYfvX9YXzuYCQU91RAKPdSLEz7tziq9amkoPYf7FjxUJM 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 Jlq4bxFANC7WUKxvVNLXD3x34M7KhI3vDatFTzlmIu9VM4+PN0mWr3ifcU9fhqcPAiu7jyNULK9ePTpvJcTuzx1ZFU9b6GEvF2OIjx0+6o9cm4QPfFbtD2BHrS9UtqSPXG3aj0C6bg8FN+hvbalST28YgM+C3c8PYpToj2acwq9wPImvcJlRL0VYle9yzxIPSmcrjyhyrw88LLnvHdL1j1tvtY7oXNYvFHFGL3gVb89dFbMPSi/lr2tQru8ReaCPYH+Zj1QwFy80dWIPO8l5rypIOW8kawGve4pvDx4YMa8Bwo8vN20mrwyU0i8rGS5vSvAlDr7gLg8edv+vF67JbuFZwM6AkA7PQpNs738evk8Bo0lPf0Cqrv2UaO8K0pKPEi9eD23RHY9hUq+vYoxYb3fhYc9bizkPIcm3T2iG7u9dwURvPrKKT3SrVe84J0RvRNsE72JBQw+ImxjPEovIT3Sm1q8mHX2O2WYIDvyk4G808VVPXAgnbzr14m8jvN0PIIBNz25JM 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 GhfBLt8aws96zcdPWMJnb2sVoQ7yjKLPGqZwbyocqq8ESDdPF8oWz39rEU97YKtvWOs7juBFTo9vrQZvd5H7T00n5a9sbf/vKAihb27u4I82y8uPQXCPD0GY609dsUbvfC0FbxyxQW91Lz3uyOrk70qciw7/dAZPHULgzyTU/g8l4KDuoKbLDxcob68ecMTvVYEtDwcpYE8FoeLu6hLDr16sbA70irUu8cvAD0ujYq9RWw3vCKxbDssQWe87IgPPcQL3jpEI8Y8cXKwvODzk7ulqha7ARofvVz6gT0IopE8Nv/ePL7lFz0Rvay7ivhjvDTU8b1xv7Y7zrwIPNKKDb3uz5S9+w8HPKb5JDwPwLk9gc5YvclLfr11Yj09DJrHPIJZiT11yF29kuyvurbHxTyF3/i75//sPJOUar1ItAs+st2ZvTghWj04gs08XGsnPdZgFr25Clm8odocvN/Jozyssl28qA+WvGPTpT1Rj+O70Df/PMf+bjx46Es9UWuPueo8FzwHTM gm7KTjBPH27TTtMPTI8I2l0PfsRD71WZpW8+Q5oPPiDjD1VACW9fMd4vQhCOj3JCIE8UKPJvbA3/bzh7P08djQPPW2Cmz05Cyu9NwMaPYMeYb3C6yE9ZNrRO+f2GDzQFsW99BGpvB4cPrsUuo08nRsPvaCZEj1TvE89RFslPXZnEj4Jgau9cMluPIdyqjxu5xk9MjbJOCUoLD3vrxk+Ke99u6ZqEj1plzQ9TxF9PBGIL70fBG69m/dpPUcW17zT2Ru96XMpvCBr4jyCa4i7qX/7vBD5mDxKk6E9aCgiPR3Iob32ega9GoiZO4QgLD1zIWo7D8OJPRgvA70o+KC8Ig0BvdVRkDxF8s68IDmAvQi4wrwu0948bIrPvTCPcbtL1nY9wQxGPZyMpTy0Dbm7hR6UPV8T771vzMM9vyPoPBlI1zluuqq9uL8tPX6eeby9PYk9nJAuva1a5Lzoy4Y9y5KnPVa23T0E4oS95KyKPJg3krxY73U6SeiTvXEd0DyFEx0+YPCYvM 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 +68jVs4PapvUbvZiwi6/jm9vQecPjzetTq94kEYvRElOTwin9a6po8SvR052z3A/Lu8wyTVPJQGcjuCPME8orb/PF7IYD0iN2M9jzL0vBj7Vz0nCAy9xnPCPN5Q9bzYEEi9f6oUvDQ2vzzRUU48FMSZPGrP0LyKNRI7phzCPObqkLwZgGM9vCyVPT7sjTuQO8Q8gSRePfi6UrxM+E29e7x2PNhSgDvHSQw9zOQfu0DKCT0+gE88LgkevaW9ELtVcgy97q8gvSZsfrwTBgm9ycPEvLX3Xj3leeK8U28LPY6oer1SsKc8EEiXu0GhNro3qIa7xKUpO6cOmT2kjZ88xA9Fvb39LDyqzOI8g+zIOhNnCj7M60C9kNURPbKE77tmwO68P8/fu29zALxE0YQ9xhHRvGjC/rqhBHq6YqAmPRavNj1Go9w8LtpbPZweljyxrdM8GxUGvN0Wnz2EGCA7j/NOvc0lOjxvzcs9qJZPPD0khTsgXUk8OIu2PGyLu7t4GZm9SYwpPM 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 SWWZzzjoDE9RVHzvH0e/jyk60S9w3oQPc36Sb3deiO9cZYpvcJYyL2PLfY8e4qOPFfy6DySWBQ82iYTvXleNz1vRz695pmnOzru+DyMbT28DQJTPP6aHry6niw97djQPJqJYT06V6m8k1fBvSWa9bxUUni9UgCwOl30hbwVY4w8N32IO2xLtbx6+Lq8BcGBvTYu5Luv17G8+qdtvcYABD0crxK9WdTvuckgAD1wAQc9nxK+O2KK6jx/i6i9AQTZPLz9V7tKHh87ITkFPOI8Lj2qbys9SSV8vL3257plSgQ9msJlPR9udzzalvs8HQ8BPC6ffz3O/Fa8XZ9bvESvQr1U4AO8fXpOvdm2wL0BTkS9O49Fvdi/4Tq/NEY9AAMQvS9MIrwr2Ig8e4OIPMDEnLwxfaQ8qLBUPewv4bwCXUo91P3hPEYHozzfike8DvavvXOzTrycx/g8BjkevRa2ozx9tmM8fM/nvBYL/LynObe8SjW/PGU1aL3GF8S7OyeuuztmAj14mM 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 gi+50ilvBJvIz1qehA92WCNvSUT3rs/iZ89+D/UO0BMqj267cO7s0VNPfUX0DxAkhs9YzWcvZvo87zF1fI9GB3+OxJuO7yTzwc99ODtvK2bbbsqPFQ9cUZbPTVstz0sAPK8suoEvS3QF71P7dw7Vz7OO8CANLxfCQE9l0UVu0ZDWLxmrWQ9MzWJvKJloTzSIr06DFQ4vW29xb2pnE097igVPeYVOLtbPkW7k43NvKHo8zxao/28jb3fvdbbKb1z6U28Zg1OvR8kULwO6Yu7seIwPQL0iL03VpC8u8LzO3fkKj2dApu9NIcxPI2mkj1GtWs9F9HXPGo8NL22U2E9r+A8vUG/JTw81Ca9aCaJPfACIL1Hoy28EvKOuvE+XL22Ibc9FmO/POiior3UTcU8PkaJvRE0PD2i+as9czBTvOkJ5DzD4si8O2ODvSULFT128DS9bwPBPE1dK7ybOOO8yDmuPESBljyRj269/zEPveYNQ7wx1hq9iOsFPBnfTD3NsjQ9b0PaOM 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 EK94Ltsu9xKKbyUk3m8m3MkPNgzHb2QSYS9t4SivUI2szx0qpy97s7vvGfMZTv7A7e7rfnevAM2rT1FY7C5jXfrPNA2Aj2Tahc9/ysePD+xEb1EBwk9gENGvV8pEr1sfc09LcuruysDzrvRcoO9iNBHvXWZsb1Ymdy77D12PawZfr0YgZW80dz8vBylDzyOvtE851y2vG9/i7x+vOA6yY2pPPHao7zLNqS986owPQB5fzy1Vfm74R9yvMWMdr0znwC95Er3PHZXlT1FVj89HzG6PFxF9zuENsk9ls4GPA9QrLwK3Na9AZl5vd501TxpDdU8gXsQvY79gjy6/VK9xjqFvYiWSD2a4YW94Zqgve3U4jxxUTE8yJTLvZ4VyT3+Pvc86u9pPfvrpj0fAwQ9EIQTvRba2LzQybW8wBhhPGyVOb1YgR49xHFEvQfg4LxdCRu9tY9TPP4nBrwSxds8cSYVvEVrDb1zOMi8IX7OvBTpxzxi88C7T5CaPQNgr70/kt29RrEHvM dQ9hzsd3KO93HMlPf6YTb2ED3K9OUa6u54hk719aJs8jTPYvO56nrzKEIA9vv/Kuo0M0zyP7RE9LEkGPYtETz2CT829HJBJPKw+ezy2T9w8ZHdBvN8tP70Iq1G8cesKvTrOjDwaxJy7yhjBPI2dwzyHvIM8h6syvKV0nj3OB6q8vEasPFumFL1gSgk+D8AavTzfrLzy4Cm90aiRPecGFT2wWwO97nWBPIaf7Tx+t4m9VuRFPVV9Yb20xH29q/IavQYOlL2rlb67MfnFu+PPhT0KiTs8bw4fPsftXL0mRIK9htwGvdY0az0qC+Y84YwwvZZAJL0H+QS96xsPPS5dLz2RuoA9xudLvNbsWzzs2P89fdSwvP5HMzwNrs07w1VrvW5z4DwGJZe9I853vDPPWDwApt49Yj15PWi6ir0B3gy9YC8Su26uwrx6+5s84X4VvbfaOz1qQh89zJKUvVc7kjwPXD898cOgPTx9hbw6tkk9XIObve+cDD3Wod285Q0kvF0BSj27XM 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 5S8elblu8yCwj3REZ29jtyrvHQzib2+ap085IEqvCT28DvJhNs9NdeMO8m1kT0BmDa88pGDvMp1br1fBSc8StinuxJuKr2gmFG8EYoZvd6P9Dxz4Em8fTR+uzWxNDvnhE491ECRPRhVUj0ycDY7A9IvPddulrxagB+9JiNjPJv8ET1hB9G8v3WIPSx3vrt+yVa8VR18vQkf7zsiXaS8BIg3veEBUb1yOKI9ZG4ZvZUiNz3aJ/s8EpBoO6Ttab2cOru86FXBPHkVtrzuYIS9O3eAPQpSND2mSrQ99Uqevcy9ML0UFj4972ovPThicT28/aa9RjmwPRysib2Mcv08LEADPR3Uirz+Kbo9KG6+vPJskD39P169bsXVvGiRH731ERg9/QcOu1dVf70XoSy96TUQvK5Woj03dh88KOqBvW03Bb23D6E95wSuPUZ0NLz9EhI9nh2KPV9SgD31T007ZoI9PR/0pb1jQQk9G/2AuvYZMTzkxC09xH+LvOajTD1/q4c9/qQ+vM 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 eihY716fO+7cSITvdTfLr0qNzo9yImwPPtr/DzvxNO8DTX/va5n9rxtOoy7YHJMPHWeyTzjdC084HzmPIwEUb0XCJe72+CIPNO9fT2KCrG9viCfvBW/jj1x1l27z+IRvQmrbz0qh4I9bgNxvcGPoz2ezo+9606dvGIBvjwWNvE4nxF3O4SrBz1Z19E9uCLXu11e3DtEg3e8wHAYvZd497z3mV893/+7vOVh0zz18VE9WJbLvIQQ5ryKrHg9RabOulYrnb0QFYm8I6ymvLDveL2EOQc9q5lmvJjaMjs5yZk7UUnPPTDpur1nYQi9nI3KO8vwNT3UV2Q95jgPO/hPhrx+k5I8Vtu7vINYSzySTKW7hIVmPFDAID3bfau7wwIYPUrGK7y3dk09EB0IvRAW9jySu3292K2LvJZY3Dzl5WW8sYJqvKP8Eb09aH494PhqPMA0Aj64dlu8EXujvDgqQz0yVAk9JJ+uvX6ugD0wdog96wBovEPLjb2GNrA8/gL8vP5V6Txy/M 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 /U7japjO1PcOr3ABR29BEVJvMBtDz1get+86dHfvEoXgT2OHCe9a58cPBHcSr1aqAI+tIy1PT7Znr0Xb5K7VdPMu9nxArwJaai9FJ5SPNiDjTyVyc48c1JdPPhsQb04gqw8/Ja7vO5PxzxQneK8JGravedlmTz6pCE9C+DvvE7FjTujFE68CASBvAOu3b3sHta8OdRwvWd2gb2loqQ70HR9vV4H0T04sDA86ne2vctXzTt04Ic9s9X4vPGYUT3pApG9UKpVPXpdDL00VG69amzJPIF1p7yjzQs+jSunvBro/Lyl61W9VUGEOxh7RL3DfCk9whzePBRY+DyGylE9rRKTvYKdK7zYT9K8VG5mvcStE7qRAjA9q0Wpu5RplLz9J5C83PbaPKHrQbz7LZi7qwCePXupqjvxULS9hV+iPM+IG70UKZo9FDuSPRg0UDrHvnq99zyKvbfTJz0CSIo8VUiTvDCayDp95Tk83/DCPTaRqL1Sk4Y9QAUAPErEO7x6EI29w8nBvM cdibD1F36Q7nrwXved29DwMkfk9kF2pu6w+/z3jRRS98BiAu4AY7ru9ewu9DfUSvZg/eD3k7wY+CUUPvLqrMrq7ahI9cvMjvQMgm70/Dbe8s/OavXT8Vz2k3Js93ipLPZFAIzxhQvA8wt90PVpLA70+lNQ8t99IPWN+iTyfoaM8wE4JvB3ABj0GSFO9bkOgPeQZbrxSvrq9fnCCPHnm1jyNJfg8b2qgPazuLT2B/Pa7OZFgvWLiMDxXjvK8SYbfvCEHT7sJCHK9qJLXPXaRFb0Rc3o9s1oivcmHXT0z/Va9GoC9va1Xrry6WsG7g5BEvCafSbtbmYg9j/sWPZXCzD0jaPO7d4UhvaN9Ib1TvHa82XQavQ+r3DzF8Qw+xiigPPnqfL3Nn449Ehe9vbCTCb3DbAA9O4zHPOZD9Txbo2Y9fwmGPb6bYbzlWnM95N2oPNlInL1yAx09xn/uO6JrKL2Gh4k96LupPEUI7DyWCf+89/MtPIqVtr0laPC9bnwEvcNPmTydMM 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 Cliqz27sdq9qpDiPDarNDvcgW49VqSJPVfLqr0k3De9+FfgvYRjpL2MIEQ9dtLnPXFtNrwo7QO8XhRwPLFhIzyxk/i8cgymPDLCcz2TrKM8Oac0vXIPJb26Z5m9hdohvciSFT54EFE9uURsPWv6wr3lGrW71DqFvKZXlLy0Eau9bdOZPdM4NTyjtvS6lqvNu1I/uTqU6Ba9duZsPU7s4Ty5fEa7vM46vT8BKD3h1AQ8JYWAvfzgZrxAIm67qv7tu7RTEj1GUtE9vR0IPYjJQT0O9A49X6MhPd3p9z1T2HC7YjkCPfsDZT1HySO95VKuvQKSubsj5mg9Svw7PQ+pcb0+Rv47JzpCvZx5VL1NTXo8O5zEPY7gaj3pgB69rpHavGlntzupuDE8J4W5O4fwjDyVUok7o477vDwVo72opoG9FHeZvZKkwDy9R6M9hAuKPdbYor1StSG91KGBvE8f/Dy/nXG8ibHiPCiFOr09njk8f+EBPTAUP7xgzOC7VV1GPRC/KD2wSM 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 II9fB59OqD10Dwo4cq9kaw7PVmt/zxfQ1M8GDncPLYbMLzre+e8oeCDvNOzRj2yPVa9vdOtO07t0DwwXCk9hVwovL9sEbz4oTo8qeAgPepVej2nRbe61WqpPAjXWb3Vbw09vtxOvN+8Zz35WCa9mi7Ruh89Dj1cXKs9wLprvXDIHb184AQ8bupXPbocljpZ3Y69kYxKPXFsDb7fkX08X0h5PSpNGD2q/S69i1UlPXorYz2y6dM9z3LzvJBBQ7zGULA92Z2KPe7B0D3ztAK9w2RzPef1/7wfgI49OLbXvKXPLT0ahFs9MWoZPYLfCLyyGNK8C0qqPImYzDsQMY27QrWmPX0G27zLQps8t0IkPQup5j0FLB29YJttvMfKlzuKfvU9ksrfPRfXvLzZ9lw82LkEvP8ueD2Jwg69j/LcPNEy5Lyo8LI74lJDPfgKNT284+w8R0pFPJz8Bj1A7rI7a4CPvc2SwLzcYYM9WLRuPVxMOT2PMze9C7WBPfC/bb2YwR89RRM5PM 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 fWCJ7y7GSi+D/6tPOHa7r2VN5U8tMmMPTPqi7wbEeu8AAofPSyM/70kNB49VJgZPc+f5r36ZbK7QRpTPTEkUz0AHbY9WE/mu81GNLzBWk+8BFMvvZDAnL1eGES9yWRWu24Z6TpPNxK+zPFXvbAVgD0q+i2+21oUvp0DqDvc7gQ+8ag9vk+eDT7tMTY9zZ0HvURYtTzXSDa9CkjoOrzIj73KNRQ9lbkKvkp72r1+h3U9N7pqPQXOrTz0NYw8rWLkvYIS8r0cK+o8B9PEPXmSEb416Pw94oflPFbTG72lUjO9Maw4PZl+3Dyux/y9SeQePcmGNL4Sv5y9pAoovemNJDzNSgK7H3rmPUTjkL0jsI+9ZJuCvTCa/rxqdbm98eALPnYPJT0/8BU8SDLdvZOdRr1pBac9lNTOvWuZ5rzPQJu9wwuUvfPawrxJsym9y1cHvGPXzT2mVZG9r+m+uo5grzzXdXg9yNKyvQ/QCb0qSZ09nnBTvC+SN7x4zce6yUStPMtxXzz1nM 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 ky9f2xOPCpfMT0Iur89zDSkvMmRjD2to0W9XxBtvQiJAz3GFn68ZNUdPT9/tj2n3PI7E477u2HaxD2HUAK8SWFOPT1H3b1xjpC9wb3QPNSLFD2T1o09zEOQPfkzpT37mIa7bQ2tvOAARLyd1eg966xjPUcHX71WSOY97XS+PGkMvTwbYO08aQNpPdqkQz2j7p69WK1YPeksIbxNRU89dpOkvORiCb20Eoc8BCnLvWKyM715X728P604Pc3BEbyxVAs9/MssPScP+L3Gc1q9YAbtPFh5M7uM1X49cWnRvWaSMLzMX2q9kXF6vYEpvj1A+dE7+UE9vTAJjD2rV128kauCvFtbMb0yjDY8JDujO22ufz2N94Y96UvUO1N1Lz0yZTI9579IPU2TK724w3y9Jo/ovFgEpjs+SFE8Esdnu3oFSTw9HCu9qvSFPM9XzTtgLKw9HquIu5/f4TxG9E08Yl29uyT18Dz6JDg89OZfPXLMLj2XQqG9fUB0u9HtM73Euhc9IfQhPM 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 YIApb0oJAA9ayWuPLIaoj1EutC8yZgjvWOugD0OmwQ9aPUOPZUj67xTCQA9n8oDvTwicr2aRpc8hEhxvbd7hrzblnA93c8xPbXZdrzFVA+9VjzhPBcSsr37duO8EQsrvWvn9ryT5aU987cSPcwVwDyGgL+8r7p+vc7LGL0nnkK9HCMlvVh9D7yI1kw9iCy/PfEmu7uU4249nliTvD6WeD0yuLa9PEjhPJl33DwOOJ28SkeBvUuOojzjxTs9np8AvCVn/j2RDyC9sI1QvSNV4DyVc6C8nX+LvYn6vTwmi9896liXPAl2J7wM/QW8kqTZvDYFgz0bQ/o7KP4NPDQkhLyYK508KZwMvUjWED25qNC8i86yPMJq1zxLMUc9oGjGO5GzUr3dT0Q9g9QOPYBXoD0PoMK842B5PQr8hL1L6l09NhBYPH+tRT3Ak+s8Qr50vHsquTzxp1E8z/OIu/sXojswtVA6UYlcPanipj3xMMo8KkPfPGzmWryHu5A9QyvUvIpiqD3XoM 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 GfeBj33w5y9LezKOtOqCzw0Zrk8diKZPXPNG73K/vE8AiWAvUbxVDxquKq91TLmPYPoQr3WfLa8TpB0vPVrCL1ZkUi8/9ojO3kgjTwIgcq9u5wFvaT2Sr2VAYk9XJ68PAEiwD2Gdiu9A4f9vPyiJz16t988Ah8FPURiYDylxJK8Ae6nu1ZWCT1xNB09KKvWPHrqubwk91A92NTZvau+zbzhJXq8GfwbPcMVJb1aVLs83iQEPc5aJ75CYC076u8pPZ+dfL3HgLc7SpcROcUqczvAdGW9IHGpvcl8wTzK3dw6Ss1SvF9eV7p1/oG9NTBGO627Njy1Z8G8JmIXPHGcej1ulMA9fWpcvcTyeD11/Sy9axxsPHr917wdGgg9eo2rPKRTZj33z5U8eEJAvDzwaT19JVu9iC2LvTj+Ej0vzoU9u/yMuij9RjwhX0Q9HvIoPZI8Lrwe2Gy9PVQ/Pal3G76HYRa8uzhrPOSO+7wVFp49dlbovIAygjvxz249supGvTLL2buBJM Ls8vrgCvZrH5jwYHp47Ge9yPX83GrwVzTc96sZwPF1Xdz1fDoO9jUYavCayervePbs8o2owO37b8TzIhIU9viRrPTHXvT3v6ru73VnAPB4xgDuzmhu88CZCvV3MCD0n87I9sjmWvG3O4Tsaf4w8qHplvfvXujhGzDm9nOC9vCWRUT0dLZK7xOv4PPzwGDxBZI09C1uAPEHcF73UJg495h7lPIaUm72UgPE72j+BOhWjHD2T2QC9p/l8O1CDlrqBdWG97RMYPRrX07zqwns8JjbZvCw7WL1CckI9SxeJvcpW47y6Mb48+FU5vBgzhDyK5tw9rumtPOWNzL1S8Va7QWQYvJ49ML0BDya9FY8hvQZVhj0zKFQ9MDcEPUjQWj3nmFg9/q1EvTJFdjzLW+28p7oFPe+6Vr2veyo8NXaJPAt/Cr36IG09EIERvbWZMr37AHQ9bw+Tu5wTPL3z16w8V9UkveW7gD3FXFs9X0oSvUh2zbzqJpg8hsxUvbh4ED1wQBg9QGRKPM Xp6pTrxfZ67yje/vRDstrxjBju8tS4JvlWl97ubiII9+kOZPee+Szx1YRg8czDBve4Lj70b2s08VAAqvRk+urzhWGY9QswLvQO9jbyv5sE90MHSvUyWpL0I1TG9DnA0PTsU6b1IQv67O7CIPL0JZD0Yeyu8KLSGvRhlI7wTBtu9/n7yuzATmDvyJZK9HDQaPbDhOzsSgyq82HKePex7wb3MYFS8sJNMOs7KZzwKUIC9FIGduVE7qTxHW1E9r4mJvKs1ZL2ULR49AWDQvMa1gLtQvee80QXLvY/1Hb0FeQi8jdHfvNmELz1F1bK9OM2eu9heNr0rjt48L0OhvRJ7hLx2iAe9soO3u6pkiz3v2O89wbh6vdBkgDtOCW492qEiPVwr5rzUxlY8k4ABvFOfwLsgZpu9Dt5TvKhkLDxjTJo8WKNqu/SkGDzJ9pC9Q78Cvbsc6byVJ+S7tTGNPQk6sr1SJpg8shFxOyo81j02mgK9Bp63vCbSLLoyfzG7ImqgvQR1WTyRjM 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 biNsL2hcn09FfPGvVty673pwZK9kuJWPd/X8zwJnZk9rx2bvVeEj7wQulc9Jd06u6lrKb3644U75qRAvckdrryO9fK9NUhnveu20TzPPfa9+HA1vkeFTb28qFQ+quUzvmZM6D0zawq9axkDvq6uNr3CuSm9Gtvwu0jYJLzdV989E57PvQk6472frOM7Iw4GPV9bhjxYDhw9bCmBPJ+Ct71/NPM7K02wPU90Gb77GEQ9cm9YvI4dNb0VUbw8oCSIPOVZNTzpVVu9Br4rvOy08L1AkKu9jT0TvKd8Uz2sMMg8u1SjPUW6ML1b+6290TgAvLZD0Tw8U+q9P3KoPdeAxLq3BIO83P1MPN2gxr3/2pw83eoXvZPd0TwMEei9nRLQvWaIwLtogKQ8dE8MvNqKL7ulLA+9TyC2vFOlgjuR85Q9P4GSvQ1QrbzVcqO7eqXJvX4ZNT0FDaU89LOwvcwkYD0DjZa5PwfGPDGpYDzA2Qi98stCu/XmYD1rdP08YgVVvMCxKbzkDM 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 L58QLwg4Jk9ZVYqvSlsGT60LrU7d/dtvW9Ngj3GmJu9CIOMvMvAsD02xxM9TAczvXGk0zxNDvW91zKUPSMQo70KJbG7LdOCPaIrFT1X+ee8B+msvLdeArvuLho9CWq0PZGGBr7wiTs8Ss3YPb3bYbyLgxS+LgKjvOhVt73fPKc9TclbPq6Z0jyzv+G9s1xHvZioFr6vj5G9Rx2vuvVWHT0BW849gGAfvg0aWb02jRw+N7UEvmaFtT22eZ+9Pdg6vl4bdb1V26C8wYNJPfZqNT6SBZy8cTu5PDi4wrxcxIi9h8UvvvFUibumFYk9MUehPa/RP76yFd69L7oHPnmKBL7I1pU9N+6SvX6WbL5GwS28kmITPWn/lz1jnvM9FpaMvDwoUzvu4om83R7lvGhBC77zrQA9gg+1vKemJD1Pvwq+asIivgYfc7udUI+9iCEOPlc6Lr5XqSe+iDh0O3yDIzu5Jss7Jy9RPtnF0DrZVnK9Pc7BvVS8+b0ZSx++ob+nPWfSGz3RiM QU+/R01vkS9gb05UCc+gcL7vcBBAD77VzG+5OqGvt8t5jsggmM9otpjPSDPaz7WEKE8abKGvWBc+7zfGtG95LZLvj/fcj0lwZY9E2C6PMOBGr6NGie+cIkmPgBTCb6fsS4+dBYcvm6Zc764smE8nXRTPc2gsD2qeoE+NVASvuOWljwtp709QP3SvF7pUr44c8Q9jEsyPVbyr7wTjSq+5NUyvoIy6z2dOqO95hwpvlj+Hbwdfyo+u0+3vZBPGT2iNO89/18fvbcyAj7IrHy+P1b6vcJm77xge+M98vgDvk7qDr764qg9zEcyPIq5YjwiKdY9UGvcvV0bgb040uw8PR9NPQBjj71qSc27lP0GPhN4rTukVRE+BP0tvqX1e71Yn5q830NHPXVG7r0n5Be9aVVXPZLMWLwseVi8O2mpPCYsz718Yhc9fSagvUqewLyaejs8S+rAu+rVDD4H3qM92+Blu4tP2L2ovLq9wipHO/I87TvqPEY9OyGYvBphhj1NLZ+9F01nvM 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 d6PBL7+RXO9hntlu6ZANbw1abg9CBWXvMTuIj3Mtdu7j8KNvPDWrzx2JXQ8BzcgPflcMT0w0Da95ZUpPazskL1t4ui8RqKHPK5FCrxQOp29D5abvTKbuDzaNSe8GdaaPRAsPr0opGY9WjM2vZ8pcT12Pew82p4ZPODimz2k//c8yst2vVJOEj3QFWQ9DHcaPI8Sir2HUm094+wRvedp3LwPRXm98eOlPEuOeDwCChM9s1URPXiHMbzgbys7Y1SuPOV8JzyXUzw9cecyPWXpKr0/LCa7IaKjvDSHn7yOpMm8Zs0IvgwLo70iOXW9QZCRPSDvXz21n4k9A7/FPFOZPL2HMIA8Lx5MPGfiRryBcnw906cDvdG/UbwIAn09W+p7vGRSh7qdXIO91nVfvXy0OL2QhMU6KnIMvRQk5DrCAwC9gKWOPZ22fzwNrxY9TNvsvBLBiDz3GmC8ClLpPEP4JD3PzDe8PAs5PW8/0jvc2a09qvOTvOFZNr2Q02C9U6WDO5J37Tpw7M 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 Y2mWD1c6yc9zO1lPUq7sjxxnim9TCeEPUutFb1CfQQ9l2EVvjxOlb07pNS6eNrWPNuNCbsN3BO9jF6mPSQ7hD0WHws9oPHfvBoSor3kvS4+43tgvb6agb0ALAi95h54vQKGuD3/i7Q95r8+Pd30l73G/ZC87wbOvFqHn7035sg9XdW0PfeYSz41Dd+9SP6NO1OVCL7Tq0S+ZU70vCiRkLyHOTc9FjZUPXJh57x8/uG9+jQ+vXS8Vb3SUYC9dwEfvI8Q1D3VuBK9BjWCvHAd0z0tFha9JrcXPRPu/ry7d209wPKTOsp2gryEq8c9b56rPd5+Kz4Ur869Z3GnvZsLZb7EB+M9/jmQvTxMsb2nkvw9cCzSPYayNz2kFAY+91yFPZnQFT54mJc9Ssq5vXe2bzy0sYa9g/DmPB92mz3CoLo9bBfUOtpaO70R4TC+0jBSPSSKMr39WpI8ohv4PI7YHj0fsXa9BZsDvRSj4T2oJq88QIhLPc1wRL2UBqO8owc6Pv8POb108M 629WzMXPpejDLtVhzI81u6/PSWcrLwpUyU9SPIqvYMo9D00vhi9YWcPPrysHj4pRQA83VvovajFO71D4G88U3kgPSI2Uj4+x9C8j7X/vaIalz2vuEE9M+lZuqTJ5j3lr4U8lTKNPBWEdr3r+PC8dEC/vaqUED663z4+xCtuPRQTNb4ghgu+RaI1PaHH571AGUY+xMpMvv0vCL5FQy09m6m4Pf84jL1NoBo+mxADvY/ngjlUcUK9JLS0vW/Har3oHrU9gYivPUE3Bj7FCAm+9/qIvcb94LxGdeG921AjPYFRfry1hdI9vemrPYUQvL2yZzi9kLFpvdNYsDxm2XG9vRSRvSR7eT0/zSQ9H8+CPD4nSj0yY6W92hKAPc8I0T1mjBs80z3+PLOS572NE7Q7OBfIPdqeGr2nGpE9n/vxvDXEq7zEhFw9cwfNveXB4b3g9xa9w/76PQ4t6L1xjvG8mtQyPTiUOj15Wbw9a0AuPcfWH712BDC+4kmgvQ0NHD5vfRG9IJX/PM 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 WURNTuJgD29qzdVPa75EDz3bBK9kszlPF/g0D2WBNS8jfMXvmZSQb2SI+i9zauSPfk2cj2pw189PfdtO6AUMz3CwQY+xy+jvZz7Wz3EN8U7335LPU0hNT1nJbK9bPioPQ0jeT2pnW+8EoL7vJTKE72vTDi979aXvRZFPzzRyxk9nFalPUwrqTxwnGO9FMFqPY2pPz0/7AE9MU6pPHutwzvqxAi9MrzOvVIToz2HZGg+kKDsPXj2Fr1lpKG9btjHvZX9ojx8Coi9G/zrvEMVxD09IPg9zU0yvV4z4D0zrae9iZMRPhQHiT0UU2G8LcSWPY3Swb1ZFgE+twVxPpDKsD3eMMi9FVGgvZtpUr55nCY92HZcPFGNrru+oZc9bigoPmzxcL0vpZI9W4/CuWrsQT5TieE9R2bRvX+ubz0mE1K+zOFePdC4az7vFP4890eOvQltnjo6vlC+Vo5euzDxVb26Txw8XeWGPTHmVD5r/rC95zlpvTpSjTyKPPc9CT1EPub19L0XwM 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 bI99UHZPZJevj3TVOa6UKRJvYyZPL4nO6w8E2bFvCNMWD3IlN48HSUZPXhXMb4gY468O7YuvQVEqT0dkdM9t0yIPcfIWD3fj/K9qj2cPXrW6D3lWzM9uZYEPY7ijbwV3xS+PvBxPD5WvL2Mz9c9eEUUPerRxT0fshm+AbKqvdaZw7u5eX490l9jPakeor2+8qm8P1+uvQpl5TxXrFw+TEkIvc+3n71UqwY+PZOBvSiUmDw8ohi+VF6ZvSXmXj3S1709B6MIvsfCDD24lMw82KsyPTvAHj0BpXW8pRzgu3TDTb3MY9A9FJUYPj688DuoKle94AfPPS6BvL3NlBw+XGEYvoWr+TtNVK28eD2wPZsnK71jmk28VbPHPY6IqT3S+w0+Ldv0PPu8ib1nW6q9JRjRPf1Hzj2A/i89ECiPvS98Gz4fbfK9UVKyPfMGJr5Ys3Q9Fx0FPUFCCT6KcaO9bEXfvJ1RnD1lcyI+O1UwPrC6Or6hTYa8fEZZPXwOKbySDPY74HyFPM 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 XoT9D3Z3M274viSPEfoG7x5boy8O1WHvdLA9rzhZ3W8Ro6zvfQrE72Oc1M9JN2PveX1qz2xbAq7TUyCu3uzyjzGPbe9oSRfvR5H4zyQEAi7U1uIPQj4CzxdPuK8z/aqvMqNGTyMlbW97yEZu1Aenjyfokk7h4MzOzIfTr1jIqS8GFVmvKj7i735R0E77LT8u0D+X71UqZm7yYaDPQ9vMTyro1K9wEr0u3Z0+jwH3wK7CnmbvXtnuj1gAkK9LU0DvdklU7yU0Te9Oa7lPMIdkzx3N6c9nV2XPBd+c7wJ/7y8im04PeO0jj3R3Rc7HZb4vMiTVz3q5Uw7tj2QvQaubL2ZcaS8vLBNPW8K/7wg7lE96TmKvW9Ejj01VQK83OtJPDAakT2eaY+93+5APcZ8vzz1uiu8PuenPFcCDb1nTNU8NIOrOO6VXDzcsBq9bNJ3vdB6hTw52py9QyGKvAoCVr0A0C+9Vx+7Pebdz7wC8XQ6e3wxvVZBKT0Whcc8zjAYvW5Pb7wQRM 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 bwRAT1mWu89KoqbvN0CMb1CEwO9XwbnO4iEib0fNTo9W1PTPEUvaLw7AC67jmxTPfxsgj0gy4q91dQBPekCsr0b9vE9oHybPDNDL71nWV493uD9vMB7rr0Mk+87ZviyPQoZybxX+Kq9lNC5PUPLxz0VAJm8PuO0vb6ilDyhDzg9jt+PvdRuCLw4Ah++CsHtPTiD7zvf3Q6+BzSxPQcyrruhVf+8N+cCPFY4MD7L8Ba9MthrOxv4cb1nAf49px+9vHBLPbvZyna907W1vW4mmLyEYIu8rmKjvSBLkD2OFus7ddFOPVDZFz3n2r49mtzWPYaG072NL4C9veklvaCDPTw8NJw9WQSEvSMXDz67/YA8tS8WPvmpNT5W0o+9tRYoPW9uAr31esy62gJlPSz+oT0ifwk8bOW1vSNhCD0eO2K9h/9jvXO+2b2bmwK+I6YcPgurkz2BHWE9HOujvWIT/TwYVhA+AXgWvkwypzt0SF68gsgIOju2CjpwpKa9PEaaPX0dob1ekM 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 3W+VYHyvb1hbL2kzMo92wxSu9DH1ztEayQ9eNBKvJWomz2dmpY9et/IvYRrzDzuEpQ9XSgKPY03eL2Rrz+9lKcePsKYs7wQ4iI+HOgkvuHay73qmQm+UklnPaiICb11ZLK6FlG4PYLAm7xcIMw9+P2XPdm06L1sHog9x1iOPbWGlTxSBD+9N3DMvbsbSD7Hm2a9+k4WPpsjE77n1rM8DuXtvLV9rz2sxOg8by1vPPyhUj7XkBc9sEWqPeezGb7O0SK+gWKKvXGjYj3fYCM+ozOmvSUF5LwWa+s9GhmduxL7Mz1q/0y+R4S1u9DCBL08g9k95r5KvadQNT2cQLY8nX0uPRHIJj3ekBs9X1TbvUzdlD3Gr3Q9I193Pe508bzHMre8jhRIPtg0MryMBsI9snwKvgDD2bwVfmu9hlmLPaGyoLzC9wg9yx+SPR0X4rsqRr09dms3PZfK3b30yvm8/QQMPKJWn7wAxaC8h2JTvfszCT5LHyu9dk4GPhy1Br6B4Qu9AdqSvM 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 M+88/9uvYbPtLrvc6Y9QgJMvQeJl73PNLm8ldbTu4tzcr1rsby7RhdGvTaygTsOv0M9m+RCvdijLTw9yhQ9f1ifvUGDoD15/mo9ZuAdvVckXrxMl8S9RpfQO7Bei71ZBYM9hO/svQewSL2Vxv88JMEZPS7e6rxomMg9TvEpPK0Mi70xLrQ9G6GEPUBAd73CECm9RVfVPc3Yir0ccp48rxu7vfJj9joyeAS7en8+PecbsLxcl7W9bb91vYt1kj3BzHi84Gw/PCSzHj0EKBM8xqr6PPX0GTzx7FO9GH2sPOUDQz1iVL68jA7iOwA+W734RvQ71MxqvIGW7ju9Nv67PxbcOlIQDLz6wo48S5iGvLWiDDyHTdy8aon2vLlIrDxtyLs9r2DGvWmVkj2Swws+e+7iPAgzFT0tx7+9rvm2vXUBB76bq7i8J+wRvjaWbr0bUIM9I2LjPAkUYLq3IJC8K3J3vXPsA74PEKo9lbW4OyqEtL0gkpO8QqunPU9puzvqrk49mwwWvM 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 l299aasujYKor1ls+C8LwQcvT3eyT3BKTq9H5dFPeJRZr1n9yI9f5DqPHAe+Dza+Wa9Bk5avf3N/Ts+Rh88upXivXzUjjxdc988Eq9KvZsBmj36+Te9pyHhPAqRjb0GT9o8cnz4PIZPBD5FBlQ7tUONPCFRFD1T94E9znosvaScJDv8AEC8ausUvQBDBD0WKao9djFkvKKRP717/Gm9xLxWvZcEOrwsqqa9SApXPDBOJj0EZZo8upidvQCbvLypLcg8k/AXvSpJIj1ARO07sXiIvSfFAj2YJm29nueOPXEzu7zBjMY87C0lPLaeo73Zrnc9RsMvu6brUj1qfZ68eVpePbqtMb3cbzu8ZJVQPUF+HrytFhe82kcovUsuRz2Ls+W7PgzQvY8/ELx6+8O8F5kRvSwNYT0l2D+9ey6MvSdpi7xkRiU91TH1u4HO3D3pRia8LGLVPPqCKT2kL5W9h2+pvYjmcr0v06e82R09va6XNr3DJB49gAwnPHCsmbxyFXO9K3TNvM 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 Ni8aLldvOvJO73Ewou91q4GPWiVN739euC9kGIEuxQY7DwDeKY7p7LOPNQ5h7xrbiA8f/bfPW7Tnb1Y5AC9zE/IvPNCDT7DrH29iu3IPNASEbwQ2w8+Lk8jPIE4wLrh1XY8CjjvvI+nEbyH+kU8i3LovD01sr1zefC8jOuBvRHe2D2fEEw9JJoOu/1dFL6Kxfq72oG5vWNTwTzMR586UB5fvZ3azT1EACk9FrxCPVzaDb0M2M+9axy4PELsBzsrxJs9lbjuux67AzzQXsc9oryVPGuUg72GelK89742PkyYvb2kT0O9oIhWvVD7ZzxjUUq9v1mUPXyyCj0EQo681SU7vabtnz0w5Ya9CS/+vP9Pr7ygbAS+54YFPtpTlL1Ueiu8kWjCvGblDT5lLLy9QV20u3x7xTdSbiI+TGE1O6r2WT0PZFA8NIzwvQDLvjzHlTm962kVvQHslL1Fo/C7v+4DPn7TJT3RjQi9URMVOys7e71+gNW9lEMmvTHOvr0eoyU8F0ERvM 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 YE9vz1968K97ahVvA49HDxfpC095m0evT+l+jzX6Q49UbQhvaDjjbwgo1g9pXXQvSHgnz204wY9duNzPaDBajwJswW+IjC3vVyV1r1Uzku9e5qTvGWSO73b6S09biQLvevXdL0+ypk8ccjZvEZgXryttI+7ah73PLcNhr0OgQE96zy1PerhmD2sH4m7n0LZve5okr1I75q9ZPWcvE3TpbwJz9692c9+PcTXUb1MMte9E3icPXSa6r1NbbS8wrUnPdua7zyiZgi+nQsaPuLxzz3Q6JG8+DyAPLS/Xb371JG9VL8Ivqm0Rr3UeA29GMhNvUf8DT1AD5i9Va0BvkeRCz5oBbe90y9fuitmGDy3vKe7t1AGPf9abzx4pU49gsRMPTzE7jlWbXC9zWAGvTmDjb0WSKi9scYBvMYymT3c+CQ95Xc4vIhamrspPiy8srrhOxR8ATy13Is8pQpLvWPEFblBX1o95xesPDxmoj2nfCQ9DXItvfAb+zxD0bQ8BW+ZvejmyT19fM 9g8zfkpvSK7mb29D7284nJSPf6iyjzoBZA9HR84vGz2przDsHe9RUKNPeQQAj3jxuk7gtEWPCFCND3mgBm976ilvXhVFL3Hili93KZZve3wBT33E3076aN+vaWlhD05sJ68yRngPEKC7TyFxtI8qQCWPVQclT3WY0c9oknuPCBSCD3kjBI8D2uOvYY8AD16t4a9mmUovQ1uFj17Z469RhG1vCOasTwimNK9C9eXPOlgkb3P/rU8p5mVPJeyCjzukiQ993IPPeWeh7t5Z5u9eETAOzoSlD1XEOk8XIZ6O4P2OD3Pxxm8jhyRvaQc/bo44Ua9UJbcvBbqjj35+T892KYiOuZho72eLZ48dayePeClwDxmHfU8Ey5JvMIEQrpkMYU9fzL4vI99g71nAly7yFxVPcKICL1eSiq8fQRIvdSOkT0ztbs8PfADPbqR7zyBnTW9TzEQPf2pWzzViOO89TcrPcB5jjyBhVA9cStHveJgGjyyHku8OjRivS+Hrj2UFpu8yF7/OM 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 CW9VRyaPflusz1kvZc8L+Ilvtfpu73MoAO8VBMfvVO9DT2FPNw9aRqIveS5hrkCxNo8o1XjvU/9xDzhm9G8QU09u3pJyb0eKTW79r8AvlY97TzrOQ4+fv7svedmn725bom9awAFPdarEj3T8wG9bMNNPg1U/DxpThS9vOhavFk2N777jaE9hDIjuPV9wL3jA1695rG+vV7HrLzYcj47oz+2PUcJDzx1+4c9PdZOvSabPLti2B893csVPVDPfD4y0KY8M7Louk54+r0tUDe+6SwRPg2OFL219/w8CnAXvLIxhb3p0Aa+V2LYPVdM6z3EGVE8r+TavQZY27x1Ukm9Xp1YPXcSoj2TGL87mn7mvWJMkTukbEE9pI1wvTHjHj5518k8Fzv3O+nrWj24oq69D+vDvQl3tT30PwU+CY/HPKvrEL5klUs982c8OzVwqz2K/BI+BvnBPZOvgTtXIRK97PdYvUXXsb091gg9HrKLPUiUpb0KMDQ9uNsbviv0e70IKKs8pvPDPM UpCWbzBrM281wVSvQnIlDxPhNk8AtrrPYTe+j2B7jg8sIgTvTKUqL04ItK9S4sZPf7Zqrz6j/m7uosbPXrENr34mZ+9hkPAPKl/wTtV/4M98+eGvZrkqbwsdMK9yaKwPU8zDz5In/y98veRvNkpGr0WNEc9K9JJPdyRzDzQKCu7i9URPZUOtz0aLzm9VwbDvcYBbDoQXOU8A7W8vGDAB7zZINU9PlscPOkDDT3ErLc9TTUIvXNBGbyJQBk91oJ3vfpCJDxyDfI8reblPGHdqzvSbuu8ZyjNvJn1YbwxPLS9+aUDPS3Wkr3ZYqk9LVytvN9vXrwFlj49N2e5Oj+31TuVsqU8E1I7PWskrL2etDa7D7QKvVYMvTy975g9n9VePb5jGj1sKJu9ZECmPFle3L2ZUzq9QcAjPY4HW7xf3Zq9QP2ovOFFFz2EMVm9/zY2vGl1LTv5bqM974xKO3oeor0kJE69M9b0PO/7xj3Czew8G3QGPepmEr16Mb28hWETvdiE2zzs6M no9RJguvI1dW7qkoUk9SGoNvj4y+7yib4a8XYukPQCphz3eS0K9mNscPKM3R73FsW68C8YMPYKcPzxXT2q9AMyRvTb0I72S26E9xm4svR/OCjzMuxQ6y1cOvZDHsL3E8mo9OvwsvecLdTtTKm46+4xzvcaOtzxqXvc8OXZ4vFwDqTzfg1I9imEgvV2T47u7hNO9JKAHu0ZCCL3baXo6pOatvesSlbxLeEk8DIR/PR2VJz16Zq28TveXvMlKK706QLI9cqmguta3oj0zCoq9ytQTPTTz2b2Jl1I9mdwrvWI6cjxqK349QoOAPWdXLr07ulu9qVyLvdHrSD0bBa49HATjO7LhVD3xrna9Md+wPU+xwLxqnpg9el/Su/unKD1wTJ298Td/vGtjNr0h1lg94EmUPalUKbwCQoS9/83AvPVPo719nso9jK0vPW+Udb0mxLC7ll9pPAvhBz2W/yO7y/zzvIQ4nz1NWpM94s61vFy9VD2sDNy9Ll6IvUEQw7yo3Pe8LZogvM 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 Q7ksDtFfya9TSGuPCYiqDzCgpI8OnaUvSD29D3I74U9JGLZPKtwcb0v/Wq9A/ebO1Jp4ryza3k9P6aGvcJZhD3fzHU8pYC8OgRVt70/L+c7L1EzPMBXnj3gDSC8kvfnvCZRmrw47Kc8r3k3PKj9ubsX7TK9ZtJquyob+zwgrzw822aZPefl371V9L28tMRJPZLIOj3TMMS8BmhsPauNNb3D7Zw7dt2AvG6JsTnrYn69ALc5PMFmUz3a9WI95cm1uZDhuL34Stq9uI/tvIk/NDybrOe9NCo7vZd96LyqESW81XaLvTLX0D3KlAw9swbcPAXFoby5ZiS8E5+nvd5KED0Qv1490MdBPRechL1LoaW99/4QPXg8eb1bQQI+ds8evQCsrrzSn+68s4GuPEs5173lUUK8zf0/vXMDQj2EWL67gTEOO8w0J72wGp09BNfJPF0CaTxCR4c8MrQZvP8a6jxEjfm85rODOQMWLr300WS9lGVqPAe7sj2T+fq8lbq+O0CniL36aM 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 iM92OfBPX5SRj0v31c9oNDQPeSToL03y0u8eauvPFwONj0KbU094NCDvejKKT3KOwe9NBZZPZ4cjj3+DhG7S+VKPTZ0+rtFlYM8hxNqPZDyTj3lhKg9RK97Pe8ssz1jYem9ZbjAPDBdrL0lRag92LxivLB0ir1M8sI91akEPJ1i1T3vrXY95QdaPd6XoTwSSfm8MoHPvXQC5zzJb589SGoePREFmbyvRqc9CEsJvpO6xzy7dfW8YRgPPfapGz3aXIs8T0gpvJaHpTzc9Eg9jAOVPJc5zzwLiv88ARmTvLd/Dr4iopc83/t4PXPQJz36ZoA987kVPaIQCL5T1J08Tj69vG11q7zAFZE9vJGdvd6ErD0k+DO9PLjLPbCUWD3cxEE7u3m2u1BciTs4nRo9KVnCuVpqYj1FGow9ftOXOwS9LD0BvJ+9DuEIPYJolDsstcq8qunVPL61jrt64ZQ8aq5JPam7Sj0NhAM9tzjOPOVnfTzPeXa95BE9vdSR7zvCSkk96DApPM 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 EG92ea6PcXMw7wO7AQ9Gb93PQW8Ir3tAjq9f36JPfX44D1Yp8A9WwXYPPJ62rx8Kiu95eOlvFIY0zvDqoo93CjjuyWmwL0wI/w7vH9NvY04dz0IrRq8/OWEPR2Fkj37irg9Ek8HvHePyTuaDwM+2PiBPOBTHD05IZ89zc45PC/MsL1Y4lW9K/G/Pd8QUD0thFG9BrIjPOgnGL67jQc87usBPdGbkD0b2oI8x0Mavg05Xb0yT5o91wWWPTc6oj04sxQ9Wi84PB/slbxyhuW8Ly6QvXW+fT2YJx69mcxHvcvfDL1VFMO8BHw9PZYEBTy4kco9aZKxu7vmzr0YqA89U+VFPSy09T25OQ4+MN2cPX6Nzbw/BDS9EUH5vZ36nr335BE9L1nUu9q0Tb0k6NE75EbuvYcCsT0zSfK8GIWmPfp7lLzJWZw91pMGPbRzXz22RMQ96McwPWM5fj3vH1M91GRTvGxdLb44coy9q0GsPfOM8LxgTbO7pzGOvB0wBb7ApcK8oOiJPM 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 o+8YKkQvH9WeT3GCoK9GoMaPW9DzTx6qww81SqUPXocfb3hvXm90B1GPYbRKj0Ye108zMo0vQHqXb1HrTO9tPzOu2r8xDyaKNY9TSgxvTYFST1BrVM7J+0dvTCt6T0oE/E8bQsgPfQ2YT38jZC9Tr0sPbaYlT2fET09H56CvF+dD7xZhgK+z4WTvArs9rzDbWE9y1KfPI1KhT1S83m9N1jLvGw1i70t/qY99pwBvMpzPL2kVxo9ciSLvKacyrwdKgk9etVNPX+ccT2ffaa9h1dtvUlbJb1Ar7+9onIUvakKBb3QHZu8c8ZKvKSg9TzVP+e7c7RFPIbOQrw4C7E9YQ8KPUDe27x29Ia8LNrKPdibLj0Sxya9eDsBvaZOEr4lTIO7tB9HPUP7+7wp2Ms9UWc0O5np0LvazT69UVF6vddYyD33hT+8LMcZPdDhcT1EfVq9eoL8O5jPRTwkuks9sRq1vF1VwLyBodO98/0XvS6HIz1her89FsTMvO2DZz1eUpO9aRDyuM 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 QVzUTzdEZm96eqFPYQ4qb1jbfs9hM1oO91zSz04Ng09Z/CiPB8iIb2Hp5a8AfyHvB7PlLyZkfY8/BRjvQJoDLz9DIA8MH0zveaXEz2pqu075ySlPMq90Tt5MI69SWJePSooHL1EJQ09tJ8iukCaEz1cMkC9b8NaPYl4Hr22UYO7iogqvLjdADwWEFq8y1AaPSO9ADyK98i8nVFlvXDldrwLpoG91L9XPcspYb2qyZ29pf/Yu8cEl7zhm0a9JOLZvfINSj22pb88U1F2vOH01Tx9L3q9YlTHvUPb1j0Ih5+8Pe6qPN/XBr0pF669t/RGO3L3nrykuJo96PshvQ2uCbxfzgS9F5daPatBkr13TRU9dDYMvf3jBbxpOqg8xk6wvRqpMb1ITv+8LWrtO37waD0khZ68ucSGvBZkyDwwpOC8o+ACPTujGb3b2xO9F02RPZjTdTiiyqq8Zwg5PLD21Tx5NhQ9FonCuxbUSj2gQ4g8Igvqur9Ygj05uQi95IxtvdRVzLy1zM 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 D/1s7yRZ5i8z40bvXoXsDoi5q687sC5POh5DL0ec1e9DX9zPTGQPbx2lRm9Ts6KPTLxyT1SnpO5u9tkvUCUJ73A9uO8Evz1varejjquUwC9PN4dvQR+4zsmXZS8fR5UvEBj/T1bk3m9G2iKOwMKgjxbs0U9H9/IPPkkvD1igpw879UcPdhlRLxQkBI9IC9OvDBGxDxobTg97X2vPNytHD2LpX49wGhDvTpNSL3B1my9jCE8u0jLrLwDbg+9TB9xPRECOD1E/FC98J9dPBbzAT2/v227HqSfPFwpi72vqsi8uSQXvYeOtzwPe3e8bg3nPLLfirzfEw08ntqePMzJ07yG2049vDN7vNrIoT3xUia9DUC8PddKD7o4zyI9pNmNvGO+27tqHoS9U4eCvTOxorwHdJ+9IvMpvRh0ET32KSO9MRrMvMlUDDxUEhW9pcTNOziYAD0yyYs9UyFqvNn8bDyhCEo9IttuPCieBzs93YQ8pSKqvW4ger2QO9Q4emByvcDXwzofTM 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 Dc7h0gEvYnkuD2pi1I8VDiOvByBVjyt7is7l0K/Ow7Jvr2hb+G8AjbhvdhNzT1c7ms9j0LgPNRvHr2hTiE9gKgFPaPajD2T7im9UXiUPMiIKLtd8wM93qK+vK1dcD1YN3m9Wp5DPasvaD3MXj69VJglPW79kzsSH9S9dZldPeCfnr2caWU9K45QPAnVyD24LJQ8YN0BPXn7tzwGqee95Ui+PFOzWLxYE+89wmlvvHfIrT2qToY8jySdvetmAj0YRqa9fseVPXH9rj32jYk93BudPRwrnLwEYkI9BWcuPHDs5boM4Fm95CWfuwTWb7lskSE9x88kvWkr6TtFdCS94Si2vDibZr1iTEE9ynIYvfnBmz1amOM9ndVOPcHLfTzJauu8zD+APfBXvz3IeJs8lopdvd+SXb1ApXo79eFnvfFFNT3vQoo8BfOSvMtB+TyZVDa95ujjvFS58zp/wVG9WHeaPNbrPbtMgA28akPtvJvPBT1Q8fw8cekGvLhAK70Oa629tgjJvM 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 ck8XpwrPaJvrD3paY690p0+PHcw7Ty+CKy9D+AwvPiFj7sOdUm9xA52Pd1mA72fKSQ99AaDvaJ+0T3KToQ82qhBvSPLZTx69I693XxCuzqC57v3YbY9VRCbvTnt2jw8k8U8BdRevf14gby5cKS9DQMmPfyG/zzutoE9rLpDPT3MtL0dDD49ZJicPVf3f7zAqvi8H2eXvW07njui3Ww7PzZXvXewEDwUTVu7k9ENPX14WL2RlhC9XYKjvKscdj01X4o9n1OevMfgbLwUJ+48AJpFPdF8fD0AVca8c0wdvDkqxbrLE5g82hzPPP0XoDyCNMA6L5u+OgXJgz11a5298kHLPDJcWrs/sZy9A6MVPTSsOL3I4e48tDcNPGChpD16dJ87tfjLPO1bwDsH2aC9aYGZvDdZMj2PjMQ9m5dfvUkR5j2mpSm8nPydvdYqW7s4wi67fxteutJKhT10/mC8YJeSPc5jL71s6RO7atWyPL9WMz00LWy9QmnMvQquEj3rakk9djZ6vM 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 ET1yLygT0e9kpEFPbrdnr3ahk09ZcMhvLIxDjs8P868VzxpPRYutb3fIcC8ThYvPdmQmT3zfvo7AqMpO6ss6jzq+Di9+HOPvbocHD2+kEY8G7qKPA6+DT06ITc6+9jqPQFi0TzuxxC9ac2sPUUlHT1wFyO9i0lUvdpAH729Y688yysxvZeyDT2pqNK9YmOLvflMEL2P1HU9XT5OvUVf2T1pFAI9PUO1vC3wE70feVo7qD0nPVPR6T1oI/47yLsRvagoDL0jH4s8OTM6PN06jz3BnYC9bx47vajhlT175gi+6UiJPQfv2TyWNOe9wA+mPZD0pb1FmJs9AVfWPPZLxT1NQt88H17juqySPb3Yo0q96vpePetxGT1yZHQ9ksiRvI9kVj0G1mQ9YCmLvXvgmbxm+gw6Aj+wPTX8xz0h04U8/aHVPeA+BT2o5hY9mW/bPYkkkD0FaU69YRQ1vXuB9bzM+0U9aSVfOi7X4zzi7VK9u7MfvLY2er2IrCk9LtCau3PrsD20+M B09vEZGOWsNAb3Gsq+8BsidPcw8cL01++29NPlbvQ0IBT3tT/M9AXhLPQzoBT4eiYu8Dbl6Pa1/eT32cPs7ZOMFuzCN7TwvV7G9VND4Pc79KL3eTCw9Q9FsPVrw/T31TJy978cbvry7drxVq6u8nb6XPAs26TyR+tw9s8NfvZGJwj26tSw9oUYQuharPD26PBY9bD4nvcaEGz1BIIq8JYgBvRiZhD3ngh89yAFwPRD+k73OL0e9hlwevHx2wT2GnXC8TPe/PLQKtrvfMGO8GE5XvPoNbDy5k3A9RQaMPHC/Fb0pqXK8gI/4PH3AmL1pixu9nFF4PSj92z12KQi+K2M/vctNlb1964A9qhuAPYrW2T1BBDU8zZsSPcLu4j1XI8e82BO0vPtbjr1SyaS9iojqO4XtM712INa98roSPcEXwjxoypY8rmY0vggpBL0wkLG98fFPPP7RJjzvoxk9tBZ/vTZLUbxqOxQ9twi6uxz6Bj0n7Am96amCPfQSLD2wLQM9G3aJvM 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 WGJV7v+3gm9D+EevdypHr134Pe9sXJDOyXSGr2a9AI82cNQPJbO/zyRLx+9tulavFUrxTzEFSu82UvSPG84lLx5JmU9mEN9vEJrWz2pRmW93uuevcA2bb0i+YG93BW2PGqPebvXBIa8gXGsPYThor0aJDo7YPq2Pe8IAj1R4Ik8hIUjPEKKRD0ieZ86+jHgvHNhPz0FZVW9/Md/OE+jUr06twc92kvPvRTTtj1xkFi7P1UqvYb/oDwJ+5s8DsIRvWrY8j3c0gk8HJawvLbmqrtYZ7W9WUy8vdZ8Pr3f3m07v9bRvUbQn7x+PbI8zwCiu3+Au7uwoYW9VgkwvV1By73MJis9D/d3PcShRr2ZAXw9kxZpPbv4lzxatIA81wbZvTw7Tz0J8ZK85S5FvTVMoL2e7uK9/9V2vB7wjr03hHu963+rPVrvvrsSwxE8Vel4PTgDczx5McO9aE/GPb6iMT1aEZg7yNkkPEjEiL0Z2JA7H1afvavJGbubEOi8O2sdvc712TzA4M 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 fW9eXAXPpSlHj7tX3g+JkUjPklcED2LRQk+WtKPvpGvSD5AOGY94rOqvvWHvL7Xf4U981D8PSGWt70p6vC8z5SUPu46kL6ucXy9bheGPjcXlr5S24a+OjMvPvid4j6hzcO+G8n/vNZP4j4/8gC+tJI/Pva4fr4KzDI+yi0DPWWEZj5dtFM8vKShPsHJhT6PoqM+wgyZPhYkhD3B29g9lIGTvSP/v71r3cO9Dm8iPtDLQrxizjq+G5daPnz09L196Z4+Wv5rvUgJ8r18XJQ+miXQPpJQsr5ht+++1LWCPj9MZj0IJKa+ahupvllmtj5Taya+H/UmPkNIXb75PZq9VP6xPp9Kmz69xbg+e/DZPgkhLD44gSW+fhmZvX2Zir5CL7S+m2J8vmshqz5bsmW+/DFHvAp1hT1T9na9RhY4PSLxAr7na/C9J2CtvnPQX76P4pi+Xa0DPvGLLD5zCqw+DU4xPnhpz72GeqM73NFbvtT/sL6Hm8q9sZ+ZPiwe0j7WPAs+peSPvM 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 guDr756luM8zVEev9kraL0rV3i+hKWXvi0yvb1DmCs+U/IMvhwlDT5Ija69CLLPvIVh3j638p2+wtv/vsHblb6EY7o+1uTOPpxTw75TrW29arq3PMpRnT4IMuG+w/JlvsG9CTz15s8+Qm/qvsM6sz78yNq9k47xPplwAL+eLHm+V/hqvqe+ID8S68A+p1FzPvUP/T5KSx6/fTuBPpJZvj4gbx6/qCS+PmIiXT023JW+viwDP0RYKD7ksPk9/QLuPU3UWD6TeIY+qxGfPtvPyz2D45k8xdAdPIV8Ir5IjVq8y1XMPo8zTb/OJka/eDsYv4ntwT42IBA/57PVPlQOAr51OsU+nz1IPy+Umj7TQiA/8EG0PeA7Ir+crg0/gF3yPqOICb9t9DO+dr1AvyVvdz12rqK8CtyBvuHmB76/rAc/RWciPnE3R7yNkds6eHvBvQ==", "training_traits": {"structure_gen": "Triangle", "n_layers": 5, "mM ax_nodes": 19, "activation_func": "LeakyReLU", "epoch_num": 5}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));cM onst l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.sM tage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteratioM n)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shaM pe=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.eM ndShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,M h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);aM .unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-aM .y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){coM nst a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(1M 02.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,M 307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroM ke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.M 4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.M 8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438M .5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,5M 01.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,1M 89.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6M .8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertM ex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64M .9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertM ex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(18M 3.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),eM .bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.7M 99,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(M 243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,2M 97,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9M ,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7M ),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierM Vertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,3M 30.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.beziM erVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,4M 28.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierM Vertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,1M 11.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezM ierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezM ierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezieM rVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281M .1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),M e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199M ,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezM ierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.M 399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),M e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(eM ){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var tM =e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){consM t n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<M r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){tM his.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=M null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){constM t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid"M :return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subaM rray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=thiM s.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="blockM ",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.eM lt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instancM eof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}valuM e(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removM eEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=docM ument.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.lM ength-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEM ND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=fM unction(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),newM e("global");const oe="221";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=M null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}M function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5M "],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8M ","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pnM =document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0=M =n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strM okeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keM yTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*lM e),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show()M )}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleraM tion))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,OeM =Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...SM e),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(heigM ht-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3M ;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(wM e,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.pM ush(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,CM e=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let M e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),LM e=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;M e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(M ),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*M le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(lM et i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0M ,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}functM ion tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("IM have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhM rase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,M i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It ng and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+22M 5*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=M 0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;eM <o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+heM ight-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(M 12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.teM xtSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*leM ),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*leM ),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splicM e(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setM LineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2M ,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}functioM n wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accM urate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying sM tate, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTimeM =()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["PlM ain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["LiminalM Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":M e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1L pQ==" data-cf-beacon='{"rayId":"7b4892e6f8e3a21c","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> text/plain;charset=utf-8 text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_96", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.0078M 4313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 11, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 11, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 11, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 11, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 11, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 11, "activation": "relu"}}, {"class_name": "Dense", "confiM g": {"units": 11, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 11, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 11, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "jAbAO1jxazwtgg89z/SiPfM3zDwtDL08ot0KvYXRcz300SE9I4Y6PXWFfr03PA89KfJVPKj3aD0wl989Xp8+vKvUkr2ZyDe9j9mBvfDrFLyPHUk9XUeYvb11nTxVYXk98bNPPIqJKDzZoEW9cgxFvejoJjwGJcS9YQ0dPe6kYDx96mc8hUkhOzEreD1cXHc9bq90PWBAALwqG2K9G0z+PMorDb3cVdc7vSk9POh0GD3Thrw9N9ZM 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 0vVrxvbybFts92tIBPSGVgjw1iIM60yfgOqpo97vYVUY95IpDPM7XhT1ilkw9ey76PG3l8Tw2nTw8FSIfPO6MJ7qcdrS6wo7iPKrivztCgTE93PXKvTxoYzyvrzm8jHCAPbscujvXoXy9T6S4PVqUTjsuIyc7wKYsOjaSgz1lPLy7Grx6vevsLz17t8g9vTQVveIekr0ry7k82Dw5PI4ZvbyprKQ83QgQPZ3qMT0bZqo97rHdPD/6/rwrvXw7+E7GvAz/kj0ra5O9n0MtPGM/arxVOCs9EKCJve2dKj1Bd4m7CDRqPbJYKb2X1vK88LFbPdgD0ToAJq28wufaPM5llj2Ofqg8tbzLvC84tbxGkew9cHtvPAsReb04OJI9FA+JPMS0yLz7aes7js+MPECxSjzXo/g8QZpSPTll/LwHV4e9GXdcvYdMpT2Ewni9vVigvdI0mLxOXJI9R+g4vQOGcj026TQ8X9/mPcAFQL0aMkQ9tLKqPZ5lNj02hQa9Df+NO++RuLyM 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 gXxa9908aPVq3PT2wye68VVDQvA3A2zxwRqY9bJ0pvXWVjT095KA9zBF8PUjeMb1ONEE9q5rAvGPNZr0Mt6g9j4ZWvavtkDxNnaI9f/TcO6pVbLxSdwm8IyMPvWP+7bzm62y9gR6svDRgKj3mEwg9diHHvd/wPDxY78i7Q9c6u1jtLjxmZBU9XgzavGX9Ij3OGXG9uasZvSxqF7xz9I49lFHNvXkDjLxChvE900mBObCm97y0dta8T6SUux8FBjuYpng8ZARHPFauDLzYcq09nowlO/Y3ADveX8080yhFvW4AJzwA6ZK8wcX9vDPeb7y0oRE7sDN4vYh4TD3IrmG9LWJ9PXQNxzzqfRW8uyQuPCIljz2inZ+9nJmxO8OPdj085Mg8UVvfvVHs5ryqJ1s9QrbaO4ug2LyxyjQ8mIOvvD7Dgjt0Q8A8D8cYvZYyJ7q9bRg9Af6TvHnJ4DyImwo9sSQ1vVvOmrzu9Z+9PyrHvV5MeT3+cQY8i1ORvS22Bz03IR082DiM 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 ZDwg9B3J3vY1fjz24E1g7nfeBPJrNE7ylh8e7wl6EPcF0XD2oMFe94kI+vILAMD3F3X09cR8RvT9TkzyZkqQ9gH8YvK/+nbwNJ1g9L/puPfHXUL22Oha9vUF7vMGuLT3ZyHM9PsC0vJkOjD0E3oe9RHUmPZZygj2HK529vdSaPLs7mbor+4Q9/7HkvHBgeDvW9+G8m9soPcJNCD1dWxS82XWgPUlZlbxQgUy92pHcO+S7ZDxjDNU6tFu1vR+YRb36vPQ9XWndvJHnCrw1dR68FIbvPBytkbyJeWw7dJg9PRJnprxrNhY9cfl9vT+qRT1wdIU86JJXPJMjjjwnXZ29l1xUveg/nDxPgHk9X7zGOseZSj2CX1q8X+kMPKK7AD1x6w29+JF/PfMXED0pE+88sWHRu5+UG7xINQ49qtsJvaGkY7yECM89yTFiPABy3bxgizk7UMBXu0OEhzctYwY9j1fpu3z/kjwwqYY9lljDuzfaRT0jJHM7880PvVSa1bt9F+06ttKM 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 1PQP4i7udd7m8+NhQvZAYHT1C9kY9wIMrvCdUnT3WvjE7aBaSPe6OxLuXUVM8xh6FPUix+zv9p5+8LD1EvclcCj2sPZo8VfJRvUYhojw8Hdg9AWVQPXjbMz1IGLi7gfjWu30ivbxGbYQ9NXuAvBe8VT11E5U9YeBSvdaNLz3SZiK8dg8GPdMRe7tyu448BzPCvdvMDry7Ewg929eVvQ1Ocj2gjN+8BDnsO3sA27sKhMM8zuZHPYtCXz3pB5y9tBPUPB49nj1vAps9WqWTvU3zUD3xZtM9bKa2PIbZjDviMrm8DBYkPZvEiLzrK5o89Vk4vCmphj0gtpk9QXESvJzqzzvUEyA87B8oPcby7DwxzTo88dmEvXgRobxsCQy7SRCdve9sWz0+3EI9kKFHPZ+HPDxtuua8uk7nvK9O8jzGG3+9tHcePUEYuzyyM1A9/WrvvTleZTxCfDg9r3+2PHvbBL08o0e83an2PAVTDryYTdY887gvPdDMjz3cU4g9Zq7Lu1gMhr1M 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 zZBE9HzMJPYOwfjy4DNw8tpeOvUIGhz34oL+8knwZPDgSAz2jahM96gFdvCL8gLxlEQe7j2UEPQN47bm9CAu97DYPPVgKmj008Sm9pxALvCEX57wBVxI9DpY5vfxSx7wi6CA949sBPadG7DrOe/o8BddWPeWTQbxiETU9Y4AfvcXBXztysLI91MRCPQIUZL0JAYm8zgQsOzQrlDqsCIe8MnGTvcyCgD0XAeg8FDYuvUAmoTzcrOE7yz2JPHP0EDyFRpw8tpb/u5t4NTw+/dG83jl4PDRVhj1pgbY9ywu2vQIt+DqZtkM9SZu4vP3+zzrugkC8a2kWPSjJGz2Yn5U9ipTWPGwyKzupU9U8ecGGPUAGLL088PW8HighvHF/Nbxpy3G9FnJmOqikVT09FY899BHQvSO0ajvKQ6G8WTueu3D7Sj2Tk349fsTouyBs0bwqZKA7+TI7PQ23VrkOZrA9TcQ3veSMJz01K9498gTnPOEUOr2bZhs9QF8vPUnIkbw1qKA9HRUM 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 nPT4OOT3RGCE9bfynvdAgkTwB3/a9Kr+wvFiU0T00uMe9HyUUPeorwTuu5jM9RAUEvaEEpzvPsWG9OkjTvClmV70pvWK8lDTlvLtjojx8KrA9FQwrvbTcyT3b15y8yYXfu5glQbyUAy09HyxYvSk3I73Rn4m8hZc9vdBKbrymUVi9lUiTPIbwvDxHe6Y7qzAzvRAOiLxoohi8SBc1PTgnirwL0OE5mzmYPH4bwLyaiHg9s4btvCumBj32UA28TBM0PUfPPzzZnFI9v9Q6vcPPvTzH3v489gOVvYgZsTziWQg9Z1iJvSwBzr0gq049irOAvZOlLD0eN4o7gNyPvJe33jzrQow8IyiIPa6OOD3oyjw98NZovNhP17waAaI7sVMZPd7xPL13xBO9yWaIvBgRkDy346Q9/U/HvAMTXT35hTy92Y6XPaLc0bx80FI8mS5mPHmBVz1Kkmc90cQKvTz+L73Kmoo8F6uDvNHarDwO7t09kFXGvPbDkzzdtdq8bw54PIRtLj1M 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 qzbo9vtZ7vVNUgb1DbpU8bHFPPWdvcT3jjKQ9obVKPYi0NzxTDqg82fakva5shzyifrW8qj+nvVpuTD3zCVA9vKnYvRPlqj166p68K4lpPVStDDxGtN+86qwtPPIiX7tEjLq9ThB+vXp6AD3kRo48F7DhvSvE2zw7sR499Q9mvbFv4Lyx5m88Adr+vIN7Ob0Q3yg9Z5nDvE0igj1otAA+txwAPZ2svbzNz/y83cCcvYfktz2k1pm97MWOvTubzzzNEEc853e+vbH3QDz2Rx29AQCBPepyCLvnfcE7YIlkPdVDrrx2ta+8/AODvB+1V7uKY5A9+yrJvSbdOD2PfEY9UiEkveSqEL2Lp7O7woV6ve8c/rxw/oM8R5TqO+KI9Ty9L489Mw6QvOKqIL3u8429/aDpvIfeKDyIyLG9Zk3MvVcahbyPEY49VT6HvVLa0j2roB49ECTYPVQ75bwuj2y99TaNPRneDz0qxsO765iSPNjR5buz5oY9Zq/mukAU1jxJTy4+BtkM 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 /u3F4dD3oYXG9xDmbvbP7BDy8TfM83Gl2vVr0xb0fbbQ8jkDGPQVfIj18l8q9xzYbvK6SwDw672K9yMRIPbjrGT7KR7g8pbCBvZ2MDL5uY+o9gfShu2d6N71m5gQ9E+EnvSjcYb1lL2S9EDSFPfjsnzugr3U9VU7svV7kvD1+i5+8grhPvaelTD2vBk69BESAvRiuab38K0g9aTZivRoFDr1WtTy98o0BPsvZtrxs1eW9cCcKPJbYyj3M5oe9eystPVniZT7zV8S83021vVBdiL1DTUk+WVDUvSiFYL3vCuC7zeynPR4kzLw44Hq928yTPj4vsTuVLoq9pH1lvpLWQD4zB5G9GHiPvXY1Wjw2ToE84Mz+PMg6Bj3prTE8MOXIPRBXx7zK99C8LEfJPfAwDL5EODC9hqHGvBaVKb1ZSEY9l5eRPWzOHj5OkBs9WLXWvROXZ7zkr1c+TZ3yveGoo734z1A9WHcGPDLoob3X6Lm9/yeSPoo9nTx4JJe9lWrcvUBTbD7M 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 RG8Y9U6RkvZ48QT0ZCJ+8pWXavFFkhj2UeL67NZDVPBQeCTrETEQ9WnrmPHKPAT0Vnha9QfivvCLzGT0CDfe8rNuLPRI6gzyGxYe6ANLGvHHsgj2H34O93GZ0PakieD0pKHc9ZKcruvH2zDxkzz09MPdDPcGKbb1/7k08dP9lvQuxPb1iQuo9e04nvV0GKL2QLPQ80SIWvc9ktz3JlZo9Y37qun1gOj0JaI88Vs2HveYtnb3pClI58LS+vHAbJT0RG3W8jHiXvMjPYj1bhw48ViyrvTjeEz03W0w8ljPRu+ubt7sMyym8Wn9Ou4ObIzw9fEY8OaCVPIt357xJ0qk9DFrYvca+dL3d2iW6NVvZu84R/rxLuU88KjEvuiJJ+zyKsLs8y3IGPdUbVzwHILY8pdR0PEoUbL1swgO9UiM5PFCwtLsHGBA9F36QvP4z17xCBHQ9ZWfXvbVDoD1HX728RwEVvA7ssr1mb9S8Y5OtPMhKirwe0da8dLBNvS0Obj0QyLQ9g5TM 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 4vLJ4DT2RYKo9Y2xKvLrMHDwniV09sjvlPToHE70tCDy9ZYbBPEjXLD7xQW69c3TvPQxxnbv74Hg8XC/UPOYBIDzharc9LeXlvUd7trxg/dW9Thw+PuNvi72PMTY+ks19PABto7yCSYC9u6KqPLDpvj2StfO9q0O+PZh/Njk2sDq+0JYLPYl1+rsVbpw9CG7mvbwu4zwjzUI85wLwvVG05D2KhgY+sGNUPYFcX76aNHG8Zl6CvIg08z24Mwe+74XRPQ9OkjxHytm916nfPTurZT3//xk8b1TZvbf3azsy/gC9yWHrung1Vr1Ofpm8zVYuPGeVG74BzlI8AH5cvS/z1b2PLpM7NxUkvgTLBz1hXsU9Eu0tvdin0D2/vb89SKGxvDRAnjzQsGO97fclvZvsir0YVwG+AOkbvbXPdz1luD+9H/QAPjH6Uj1jP7y9O9aMPU9BC72jMNW90wnMvGYZv71OEIQ8/rC/PVjjfb0ysbE95pL3PQZykr0E2Bu7M1QZvcdTXb3M 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 I7f28+vJ5vG1vurzfuEW9oyYAvd3EjjugfT69HtFove1wHT1XB4o9GlT+PHRiBj1Cd6a9e6xgvT7mED1pKU894Y5cPAWgIzplWIY8kF4rvTn5UD16JaI9SdGXPS8k0r3XMpS9pu4rPY1OST1p1Tm78fKwvd6SKT1ZL4E9x4/Vu9v/BLv+xF09mNhvvUuGw7wDCp+8x+ozvEtKpbtbmw69ejx/vbyIdD0SEuQ9FQEgvJmoPT3isMs76POzPa1j27zoIJw5AXZFvTzfRrxX44m8QGurOVJ0ST2CH1w8lPVwvLhMfzwV/nU9UHtWvfbbpzxqYbq8IshVPVtLzDxALqg9jRc2PbKn0TxzEhW9/VqpPe6/Wz18Hqm9ihQpPXGvt7xyoB08kGz2PVkmt70P/Wk6aB6OPbjcyLxmtbI8ngZ/u3/svLsCNx+9qEvQOQeOQDwJ1wg9tK2jvTntOz2PzNE7l24MvdQ1Kj1QrZ093KrLvLLGsrzlSDM9ewF5vOpnRT1avEW9UnGM 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 qOoHJ0T0Py0I9erlHu0Boxrzru1u9f0kQPUf+wrxKcle978hHPR05Lz0yvfs8njFQPe2BxrywAlu8+IyovbZAHT1d6aE80nuWvfBic7wtQIg8PPkFvXNdpT1pe1U908A8PBN+uzzqQz89QDwuvR4qKb2bjUE9hpYfvf1YNjzY6SS96gSAvOB2AzwCdnK6UgMcvSEQIb2xS+A8Q+0NvUl8MbyPF1A9tPosOno+sjwxBbc8A72TPRQyM71dMge9aTOfvTUsAj0tyNi9LP9EPW0lrzzQJTY95BaPu2Sm4DvQZre8dBB9PMCKLL2IgOC8vYKfvS1U3bxcW7Y9NjpFPLQ7zDyXAnY9Y5eCPOUjPDyvUSe9BADLPCsJyDxSQgG7BHGBvQlWi72V/Te7ZPU6PQYPQz1zrAC9Gww2PWBMkTx8/DE9virQvEXcJTrLqxq90WFOPDuN2b1KgDe9Ijq1PNwbYD3beb+70VnJvQTbSD35DmY9VlNJvWJruL1s+/Q9s91NvUEfVr0M 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 UPYYlTrmeWEw7iT2eOkRiL7x17RW923YEPQMzjb1YHMA7LsaAPN2Q0b3ZFYw9ql9AvYMvaTw24xM9kgbpPG7PBL2XO8g8gvyWvJHclLzpJ9g8YIO0PJWdoj1dWaQ89fThO99QL72lVbG8mohxPRbjMr2SmwU95+JLPIun9zo0MG09DT8APWCFVjuWXCo9UVVyvLaV0ryhj5U9XG6lvZhsnD0oJnM9pVqTvOAyjrzM0E88l1S4OnDaFrzlTBq82gVRPZ/sgTx0C5u96lFIvdHtozwXh5K9jhZdvTG56rwOWEK9ReFzPT8or7sn5xe++jOzvYMUIT3ewxg95ITCvFuP+Dy0ZwC9Z4gTvb/xJLwRrlo9UHOYvJwjeb0UN469lXm5PXKJmD2WvGG7fXtkvIwUh7zWN4q8/VVyvPA9ET1P5pQ8qAbEvbDRgL1Jmqc7L0dKvMW+Db1uq2Q8rb8mPMl79jy7FS68s2W8PAyBSj1NbT+7zcBQOpLkobxd6hQ9TgMtvT3eFDyM 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 +u/68vTS4vBvInjuBJiO9u11yvHXULL0SRuy8/1vMPBbKcTuWRKm74j+yu/liarx6I5y7ySQlOyc1ODy+eSE940GYPTe1iL2VG808hA6hvA6hx70yi9+8ST36vF8b/70clhY9It99vJN0Kr2KCdY9uRiSvfa/Prz5o4M94805PIa5hTua85+9PvYMvMVDlD0rcCa8vsVYu0Tybb0+cVg7ZsmtO15tGLx5+748VSaRvc03Hz0BNgK8xJ8TPZWFTb2MYoi9xoxDPdgWUL33nxa8Rx1EvGujbjtnHIq8l+tAvP5ter3LyYo8dyLCu0hlobsF5Jc94YHwPMBPhr2mSM28xxs8vRFbAb0zGiK8pCK9vVxOZT32FrE7D+69PNTVVb0+IyW9J/liPZ1yIj2xxgW8bsaCvAgx9buhETq9sqm6PPlsNb2nT+a823E6vBDjHz32R2A8qVogvbo9jzzrmqg8CSA3vcgLCL0RwNY9JCWXvLcFir3uMAM9I5ubPT1DnTtGrXU8GMJM 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 mPe+JuL3hcIu93Jk0PWmWmj0S18c7EiynPf0a470mjJi9IpCbPdvQnr32g869brPsvTRPAT6l5gM+OGerPUMA9bsJbBs987vLvZNMnrwZI8s9D3LHvI0TwL1IqTe+sBgTPoexxLv3HxW97Un6vAGcj72dzb+9C3jwukYG7jzgX+o7VdItvqnupb2Y5NU9U5rZPPpzvzxTMEM9ruoDvhoCT729ULY83PdivLJI9DoMquM8N8oUvQUzhTy4ML+8VpWAvL0B8j1WVMW99EetO+ytN72BsP48T9DvPH/rgLz++HC8aLnCPbYRibsgO8m9rnYAPVnmnr0dy049yqzUO0NULb2QRAw9GosFPc4Y7byLWGi9UCQevbE5dbwGleY9taSOvUQwEL10lye9P0/GvO1iBb3zmM4934GKPVSWqbwbsIc7UQYRPViEAT4KObm9ZEKtPW+y27wUZCA6anQqPUStBD6nHBg+PECGvfDKq71nEbW9N+rtPZqps72qUuU9dt5dvZttBb3M 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 H6LG8VS8iu/ZKsr01lRk9mcTtPG/QzzzZBI894FPUPVDSgL0+iAY9VY8FvtJm5L1weC09ZtOYvS6cgT08FFI9ku3lvOiolj1XjzY8iz6bPEG6Wj2opH29fuARvoyMj70r/wS9kanAPEp+Jj15D7q8H/20PXEzlz2j1Dk8qhrsvNLVir14VWO9xM34vBTiz70/pqO8F7WLPV3gcbsYqNw9Ubs6PbbI3rxqbyA8LPITvRFIU72YNU+9jrZ8vT9tjj245oA8Mfu+u2dVdz2blZU9lgCIPB1hsLz0IVw9qO6vvaVas7zEiBy8PSM5vYF0EzvJmue7EmC3PLX5Kz2gerG8xr40Pf/ZqrplOww8viDyvNblFbwUgfU8qRBMPHuTKr2vboE9RL4vPVvmejxqVo48Gk14vdeUk7xzrzq8AXlaPeEKf7yCDxU8weFJPDzqfz3s310914PRvbr0qD0vo449s66QvO1Xi73GTLQ9+MovvUau0LzrDYA9jJuqPM8NLj2rfUG9YjhM 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 ENT489MEBvorxx72IRP49a/CPPUal1b3a5pO9+DbaPRpulbxO97y9sddwPDYVk72gtRK906ZovdSW5zxZWEm9bVPuvSM8aL0oHzc9pwMjPksK5T3Ic8q9IbyBPVeqkb0Y9iq9C8+fO4MYKb3ygJG9PilkvSDxyT3qAQw9KGHRPK6GBr7XRjm9JcECvvd9Tb1EPjo98RGcPXfMLr5V0AO+TuY+PvOXaT1IR8e9zdi9vbHetb2yij299byCvXLB9jyKnje96qwqvodo371QdlE9d/ZDPMYs5LutHTS9ZH98vb72Vb3jCLy9Zv4wPZBnUD0Wz9q8Fh1mvRnpiz0HS9g8EKeQOUbq9L2CMtu9HTgbvkp8XL1ifgU9Xt4HPs9p2b3onRm+Ae4fPl6aez2GbEq9SQsEvqTGHr2Hsyu+j1ypvPdUXTzJ+0A9vCxOvVgIkL15voI9odhGvZb/Ab5Qv+A9W4QQvgZYzbvoB4u9Do6XPMAzjT1rKHo9WJ3gPfSfTb23tEG9Wy1M 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 BuY9B8zwWqxI8iDgBvY0Wpz3RK+a8M83xvAoODD2J6K48rsgfPWa1Az55Qmq99MJMPUwBXT2DJjS9rtFfPbpyMrybab+9Z72Kuyj62byLBUo9UIoXPbY4W70uAbQ76V30vTYTC743dss9R5s5vivFwz0RfWA9oA9nu65Sqzwd7Ws93u+jPQv++TrU+829SvoevkQtVj02OJi93KexPY9Dkj0aIqS8pMLAPeoxnT0btUI9h+YkvAEOBL0LgK+9KZ1qvb4V4r1Xy7k8UaBBPYnhs7w5vLI9nGLvPE1VFTyPDdG8bW+zvRBshb2OWIo8YcysvVQkdz1FdIU9Gb8xvOM9JjwNtps8mx1pPWE8Ij0mff0602lPvZ8227wEYZC9UdPcuiaRbrxwo5y8Xq3qPZfV0j2gK1W9mdr6PN7EJ73JRYW9Q6g7vZSP472VZ4M9M+ZpO/3Kkr3gxNw922TCPTPuwbxFCm48lBTnveF1Xb3zydS8bdwzvUljG72vCva89myBPaIXCT0M 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 6PQnYGT1luWG9qS8TO/xEgbxLRLI9VieTPYNNpL1CseS8/kyQPVnS3bnhTBI++hACvW1LKjutP1k8UeSGvRmJUT5UdOI95mL/vVGhkT3MsvG7pexBOTUVXz3nQPy8IWKgvKwDFT3zZtS9XXA0Ps6krj1VHwy+VUGxvTDtxL0ZRpU9XrwVvFCTa7x4CrO9YF2OPYW/ST3SyBk+UbN2PR1ylzwDZ/G9q4zvvWjT/Dwgn5W9vSO7vZ1rsr2T2Ak9kUvgvBt+bD6NVcI9VyWFvC7H37w3e9K8/DocO3s7prtq8g29JMGKvSH+Oz0Wf488paJVPiAaV7woTwO9flvIufh8sb0FzQA9kQmNvHScf70eqB89mSCvPSzqKT1ZxAA+sm32vPi/9DwA4329Km8AvEn8Bj3hKZO93QYgvXNg27z2SIa8zsrhPcmDST4uWts8tTeLO7pGJD3sV9S9+Z2yPINkKjwXZ+y8/FU0PYeQhrwTIEg8KZb5Om1Ycr1k6zy7HzjVPej6rz3M 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 +PVoatjxeRUC9g7K6vRNMer1CHWW9vz8mPVs6tjzpv3a8owqZPSyIEjuofNG8TckRvFj6Tr1hkJC8tBOGvKxv+73HMdA8u6WNPCP8nr1ztv09jts6PNHUeb0mAyS9pYbBvPijIb7OTBG6Kq+ovY16qTzsrsw7/OgGvM8vhrw9nSc9gS1ePQOXHr3sATy8MIHfvRMTYj1mIga+cZTvPIzgH7tneQ88c9a7Pfx8V7ylHIG8khzhO2g96bzdZe69cEmbur0PIL42yMU9SfbQvP2hU72jgQw+K2xwPV66Y7zyal69KiMAPHVBR70c2NK8sYCJvbIdKLzjxcE85NYAPQDTzryIaca8zKmlPK5CgbyV7T+9GdzWO4TZUj1QFJy9E5o3PJ617bpi4Rm8OcC3PDn0ubwdEwW9SjWJuzK4j71hbqi97uUtPXttvL3OSca7O5L2OUmeZD2w3cM91FAuuvPKhTz2c1a8QhkGPg6cYzrMnou9GsnRvAukBr3poQU9KfTvPMp+Fb0M 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 s0GA9fjVcPaczpDwOvw+9+kbMPNfyGr3JxsM83RBuPQ4AGb7Ar606qhZfvWQLOL287Jo9a4pXPXiKj710AFk7hTxnvQzDJj2Cz4e8k4FFO9tJTT1VXTy9Ml/uvCNUqzt0DYM8F26vve/+w7yS8EU89pXUvPK4F71Soq88QLwSPPQ4G71cSOE8mMh0PFdOQz0H0yi9xNeHO/waL7vNt0s9F1izOyxRF75uYp89rkCYvAUqoDzDJPE8km3EvPGnaL1T43o9kVCAvbaCpzyy8Eg9ASEhvZDn1zyt37G9Q5JSPe9RhD2dIn89lGJIvYMVkr1K3lS9nZGhu4rcArsZfb49EkyOO9kwDr1+IpU93DOIvW1+Zj21oxi9Ntq/u8u7BT2RBQu81iSdvH2EMr3InZc9ATYIPJSrXbyi4MI8Dg2EPPqT8ztWfNo86FzHvYjkrjzMbuW8IWVAvbZnnz3JD8u75LyiPdqtGT3U/ns8iehevE+a1b0+D428spNGvLXAHb3w0LY9L4rM 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 KrCE9QhZ1vZQ+5bxadTa7Xqz3u0ZuZjthpac9fE0KPeUi7rzG0ZE8tgAZOdynhbwu3Q69cfIXvWDFcbyp3pw8rtwhvYrACr5VpZU9DHVvvc+q1LzNCCc9Vb5wPBHS3Ts9DOW8hOvQvLcVHb2QXvu8iHe6vBJMiT0s+ri9kwdHOyQNxroUcbU9ZLCcvEt5ob2Y2q+6bdSqvE2TxLy4FB89+vyaPKnsZr36rGY9vClWPY24dz2ojD+8G4UAvRPJ8LwTI6O8lS7vO6/ucb3QJ4S61oBDPCHJFb2G5mg9WL16PQ5oUL3iUwS8bqvrvDWSdbzZs1E8SdZhvazvsT0OfcO8yPkSvTt9Wjx3mj490YfOO51mP73+Ftk8gUvquynBGbyUWaI8dNKRPVuTj70yqG49p10zvajrzzs7P0I8s9SWvE9/Yb1NAWE9GfDYPGF4aL3VmKE9GT4UvcV1ujzxE5o72ozku4V4MT1omqe9Mf0zvUaGvjwpOhc9VeOYPWfCAz2tGPq86Z8M 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 /G3A8K1jHPACGHjwjMMa9VV+UPP84D740ME09A/oEvWllhL0Thoc8oUXPvLX7xLyUsJU7K20OPHiJl72vce88Q9Q4vaRKAbxd+hc9FfaPO0RGn70zguQ8O6kpvXtfjbyU10O9pL6yvf3P9DynPoq9DYWJPPInjzxyX5A8gE/jPDVHIr0Q7d47IVREPfuyTL3ofkq9WykjuvwShL0jTGQ9/9wDvTzYA71/Qnk88OA+vRwpOTxzj0491pACPVVkKT3f/aS8GnKYPC0SDD18sNm7RLpXvZQfoLs94di8bGzGvFro1zwnhCU9u/4eO8380jyjTAE94aDjvFSeb70hhPU8vxXjvAtxWL34HAW9fGesu2/j1rumGuE9KG5rvf52XzxGN0G8r6szvVg6pzzGEjO9UIcDPAaARr3pnGE9/qkjvcwnBrwFdJ+9rEmKvLiCOzpVv0c9vqdnu8piwL1K8YO9e4k6vWlNET3b2bA9zd8uu5AA2ryHoIM8rC08vZKSfr14OfM7ZGIM 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 3obY8UDAzPJcVqr3vqS693hO2vf7EmbvTU5I8rxSCPTQD+DyS7Wq9OxoKvLrjnDxztkG6AUrmvJJmUb3DX+Y6APsLPZqlZL1Rn6A9lUF6PaPOALxUV3A9NLjTvFcFnbytQjC9NnSqvIXttbsN/ys9zCqHu0rHnr08TxO94bzRvVkfzTwlKZK8ruL3O/OlG72RBEU9BaxLvSycY72Y2928h60QvOJokDyBWoC9P6EPPUS5sDzKOi69++6IO3o7Ur2A5JO9+YUUvYxzUTxNWSM9z5JTPXygL7325JU9PIb1uxvBWj2YMXO9H8ILvXvVs7ypQoy8i8lfPDkOpL0xRne95iK0vU0GFT0/UtE9V1vQvKn2q7wBTMy7BE/tvfJmer28eGC8ESw0vY0cWDxvpSi9FJZcPZLykTzq8R09BUp5vRtpob2sZZq9PZ2wPHZPIj21rIc94gcyPaz1pL0fPpg9iMGxPOCP6Ltw/o67PFXxPCVltbyDgAw8szWnO4Gm/bwIij49OCbM 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 5yrE9jbCAPAasFTwf+lU9y1YEvVzI8jvBm669S04ru62gJb3ZHhQ8nF9WPDeJIT0fZoW9PYHHPBwz7jzXhQ+9S1r1vKx/DL6vXIi9OmRpvHHglLyiQ549dK7APT0KPb22xa+7cS8yPF63XbyTeJo9x8znvUqmAj3lTJQ8yVPivN4QZr30xns9CXkHux7WET2D6bG8L8aivEYpuTxnAla9ylJSvTl4prxUOtS8SqQtPG5mmT0WZB29dPfoPKSQu73ZC+S9FzaRPG0cv724oC08wyb/u+SvJT3SnNA9h/TePPcHpLzq/Kg93ZovPT08Djt/STo61dCQu/U6O7vWPvo8d1E6Os6j073bfog9oCGXvYVXmz2fwsK7SV4FPVLOM7x+Dxa9l/QxveaqQ72AEWo9LlKbPAVNrj0CEp68UJZzPDFOM70gtZ69sUCIPZkb1r3WN5a7i3CuvAwJBL3K9Tk9DmnHPSAMnbist308RwhMPXTVbD2NHzO8snkpPTp3jrxvZEw9aNlM 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 ruoC8YM5evYbG57y2n1+9V7FDOtXwXT1hcxc722U4vayhTjw8yD+9DtgUPIjLlr193NS8WQBoPKADir0FS2W9Rm45PMhaG73GMiS997l/PMaV673bAzk9xmyYvWoPK71vN5494XxgvRXgBL1JIqc937hFvdPrZT0N/Be9/2OmPDYpxDoXnBs9AiT+vNb9mbysd569N8QOvYuDHj34Ya09LSR+vSP/vbzvvbi7k5IVvT6vZb1qqIg9hoFHvQBhjb2/EYa8/YFhPQUxZLwvDIs7NUzfPPPDkL0UoLS8gpFOvdOcJb0ZWd+7UPrgvRfeF7ysJMk89mNlvT11Tj2u4x694PbcvJ+B5bspKvO8IHo3POGqzrwofi299kOovFWtFT1NS8o8JnOLvfYRL73+kb68/ZElvEXOQDwt3DK8CWZzvevJ/r2+GZG9/zt+PJLfYL0sIBC8xzQEPILiLb0FZbW89YKAvVgrj7zvH349SLzHvQ9m/LyrQQC8j8AoPeT5ETobH9u80OWM 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 AvUInML8XXia/0GMjvqykib6zMRa/eLLtPmGUCb/VHCK96/URPzbpgT3sJak+JhqZPWsx0z5FZlC/vLIov9ZGDL+P/lg9vQ2gvmIWAL+gNvG+fKknPrpfpT42ohg/ErFuPoo8wr4CPr0+N2oHPyQf/j5WTMm+J91Wvjl6pL0=", "training_traits": {"structure_gen": "Rectangle", "n_layers": 9, "max_nodes": 11, "activation_func": "ReLU", "epoch_num": 4}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{moM del:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=nM ;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimM estamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableM Timestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dM r(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}updaM te(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[M ];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.pM ush(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.rM eflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,M 11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bM ezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierM Vertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertM ex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143M .7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,33M 8.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),M e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bM ezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2M ,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455M .1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,M 364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,M 102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399)M ,e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVM ertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierM Vertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,11M 2.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.beM zierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346M .3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289M .3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.M vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.M bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9M ,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,4M 35.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endSM hape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173M .99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,19M 9.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),eM .bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.8M 99,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.beM zierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,2M 10.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertM ex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.M 2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bM ezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.0M 99,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return M floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new DatM e(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return M new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,M H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r]M [i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return M null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeuronsM ),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forwaM rd(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"M ==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(FloatM 32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]M &&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanM vasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetM Height,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].tM rim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?tM his._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[SymM bol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.lengthM >1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),eM e(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/jsonM "===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{vaM r t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="97";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=M !0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(M e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=minM (width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313M d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0M 002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListenM er("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpM perCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",widtM h/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function OnM (){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(M ),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hiM de()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`PercM eptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)M ).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];forM (let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){M for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:M height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slM ice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statM ePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=M max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(weM ,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){ifM (!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER)M ,ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*lM e),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or()M ,et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,M 1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeigM ht(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-35M 7.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongM s to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*lM e,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} yearsM s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,hM eight/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(lM =50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';M else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){consM t e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+EM t,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:"M ,vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,widthM /2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),M je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.lenM gth+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=M a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rM ectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanM vas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=".M ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My M recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(M ),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20M ,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],M ["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function CrM (e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b481b86f8e554cd","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> text/plain;charset=utf-8 "name": "xxtt.sats" text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_104", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 17, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 17, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "UhGyPR2NU7sjEuW94haHPV6CqT1OgyK9qd5uPG9r4b2fga09MP5VvbL55bxfo869mEZOPdQTM 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 JqqGPSYZPz3J0CO+wDeDPbbRCL4KfuG8LohOPKyXJT22TpO9q2SrvJeZmL3bxt09RALRu57trT0Xzxi9AuUxvtnDkLwtJAC9qpcfPLV7zr3YVKc93WwAPseHZ7xuzdI9ngPOPbWHTD0Eg4y9w8LVPUoTkT3wgSI8HMswvo7BfTzEj449bSzWveXvQDuMG7G7+8m0u5cd0T3dq769IAW6PQ/VHT16oVm8JRxtuxZkmb3C9Qk+2LrUvcBEib1L7gi9cbbTPV+Edr13hRM9+eKiPSTblD2Uzpa9flerPXMW+b31X4q96L5qvEsSXzsN1+C9vCP8vCwzt71nx3U93vuXPCnwrj3UA+E7qm9SvnfctzxIBZ28mAk5vE8yLb0QBLE9s0joPfHwUb2U6Wk8s7rqPc1LHzukTnK9BnXpPBfMjT24qMa82R88vjjFrjwVbIY9Dg7uvVg5RzwfhPY7LCG6vG308j3rTNG9yGFwPTtayrvNLrI9Kc+SvA/KF7yesb89kDnlvb6AM Ar3yZq+8qOMHPkVnj70AK5M8zqShupmsmz0bS9+9N7NKPbuF5r0MBbe9FrsDvYwcgDvkpxi+GXWvvIZF9r3C06M9nJ+1OU0GAD51GVe8ju4KvlGoaT1JnyQ9ka9nvcTfwbx7oZk9bkCgPc6/571HhjE7jiyrPdP2lTx128u9/F/RPCxNDj15wbE8tysxvo+mlLy0ryU9AxWhvUjAjj0+gly9i3S1PG8M5DzAxt28da+zPX4HkztvKom81VrOPBeKVL3LY7w9s+KYvR6FjL2jiWM8UjkMPnHBUzzq8b87JdGSPMXAqD1qJuy8/PKXvOls3r0j+Ly86bMOvP3/FL0bA029bzyEvPGlW72SHPY9GslaPaFAuz0m6KS8jo6rvYz+hj3HzZq8qvotPNhPtDxbtZE9yiLJPfbPgr0GllI9pL/ePRHIRDy04ga9RRXnPAfrnzubENo7P+jdvepeaj3CD9g9Rt0dvQTUNryA+v+84EGMPZydeDw3SIS7V061PdWuLLwb3CA9M 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 t3aXO2MB0D0utWe9A0wcvsdugD0z1BO9XU0MvUyc0b2b87o9Hx/SPQatY73s+j09IDwaPqT+lT0qE+K9ueazPB3Hvz1D6Ym8fncyvmeBj7wAS/o9XHyhvbSwdDznzKa9NYsQu3obNz0x6ka9J4YPPmQDHD0O2F49yuSMPShELr2siAo94wLzvYmuo7xosOi8f7BvPYhTLL0jLAk+g+UEOrp/5Dy/kpO9g8ItPV2hHr5zsIA8ucu2vKRrrDxoz9S9o8YvPZ3qir2iCYo9eWO7PIYz0z35eTC9NaQ/vkWsnrzzmxu9zlWFvQbzjb1wlQI+uuKvPZ6Jkb0HuWA9dXwuPkjvQj27p4y9J6jyO+QIJj3ujRO88z0tvv3nALtx52k9neLJveK9ED3mflC9IS1SPbK5ErxOEe69DPA5PoJrtDy+tBA9SreHPTSRcTzgUrw9zmKJvc3zmjy/ZKG9Y6CgPW2d07w4ZoE9aWmAvcGLFT28W3G91v/HvHYOIb6JH7U8ZiD0vE11M 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 ov0YPgropbkN9jC837UqPTtOwbz7k989t5zEvX0cvrzclZi6tWL5PURZNzwxjLg91BwavQkLtD1mx+W9Ch43O5hKAr6DfFY8xGpMvZKik7xQUIG90cIZPf2ayL3dmGI9kezRPFci4T1aOpQ83pPhva8PiT0Xl8E6EmCkvavebb0k1dg9qAkAPu/wdb06jns9h/bZPespN7kREM69MduKPXhNcz0orYi9VV06vsU8zjwMU/g9he9OvCCqmzz5Vjy9wTWsu97dwjyoAKW9eKEFPlecKDwIuLI8gLyaPayND70Nx0g9djkSvkJL5jrTyM29Phu0PNYMRr1SHgA+5/ufPJWnOD3yvRS+wBLZPJfUu70d+1O9z0KXvbBzqj2bJoK9p4+bvDCDoL2ywgQ+qbAQPUkF3zwrZTG75GhVvhDlJz0t3Tq8qLJavaOPNL08iOw95HoBPvr74LsQQq893GrlPcjlATy92Ci9mI9YPR2SuDwSMMM8VjFRvg2aFr0aR7g9lYH0vKP3M 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 MxcJvuDosrwT0j88/1ifPY5YsjrlPK89sRl3PUh1vD1VirS9quTnPKiJ4ryQ0W295tUJPR1VMbzgr5a95+CWvfRjzr0eATM9I8HYPJmM8T2Q7Cy8n2ISvhbHYz3W+QK9yxPLvEl30jyC7609U9n4PR4wlr13TLQ9OgycPfWUMTyxfke9ycnzPEBjk7xVkIs9shgvvYwKDDzHhLI9qBQrvdOPgTw8Jck8o00nPc+TgT37pDm9w2C3PfTBrLvOX6m9R06JPShhhLtbzCG85XnXvRFjOL1jI688SxBWPYwXrLyzjTw9A9zZvN0NnD0Pwq67T94EveRWqbzmPw+8EgEDvYcMNL1cJ529unkEPQd0Br6Z0Hs97jQ8PZjFuD3HISq9CmQQvkYUEj1xn5S9fi0ZvfcbFjweu6U9NWYLPgv5tr1cRhM9htdEPcx05DzUoo6915s2Pathbj0dqhG9UlyGvUtjlL3UGAk+DPHgvFT6TD0N8q29Rn+JPUvkRj0It429+7cKPlCrM 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 BT5+2Yk8V5Mevp3mAz24ZJK9e4QbPSOIHD1k9Mi7wy3BPczIQL0h6wQ+AS46PRTJ5bz9BYO9H7RMPJgbW70tbau8tI/XvTQjibw7Ul89ihKZvdp0HL2eWaI8XN3CvNOekD03Qga+KrWRPLS5jz2jQaS9xuvnvHQox709XhM9OqukvU/0ML2dCs+7GUyqPdIkAr7wibi70yJDPdiUDj5iPCe8knMdvGxRq70CrrY7VH5CPZEcr70reU290X6tvAwPKr3n1bQ8WxiNvP4PED5KmSA906wBvoO1qT3EStu89pXSPd6Gtbw9AD28YRLOPH55iL1G0QQ+sNc0PBnYAT1p2Gi8HNYTPVG8rTxlFSU8oOCPvf4S2jwfpqI9k4TQPLgMxrxBqu08ujj9u4XBGbyZu7K9VjUivC/5ST0Nj9i8nTIovXJAgb3nh2w9h1odvfjQQL1yIOm6QGAgPU61h72UxyY9Vu0HPT6RnD2EmHA8SkaHvVc4bL0Odj49uyI3vXPwAL58vte9M 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 bz4dr6K96NadvCc9/LzzJjm9DeP8PUPd3j04S407HM/Ovd7SAD5WVTQ9SOAXvvsaSz2i0iM8MnCPPVIeCT3vo5491NLyPUu3Er4dTms60EkWvSLP27wUSq68D+gYPkEvVz1u+PA8+WRePUboxLuRLVc8ELl3PCBvJb0EPnw9YLOCPSpQr721RQE+rbOAvIAP8rx5LwO9Lji6PJ5ps7xMW9c7r5WQPJzTgr15VK06HZWSPahbMb5kIKY9r3n8PFCeKT6/a6u88L5bvd1fTD6GVbW9ofeUve5knb2gifE7Rse8PRv0fj0vv5m8p7JXvRjlFzw5nsq8J5BTvXV5trwoR4+80z7HPR4YBL25n8I9nrfWPbTbNDsvwiu96CJwPMJ/uz3rhLa9j6IFPbZmbT1MIEs9P7lhvI1DOb0woNU7HWx3vb9cDr2Q9vu8eLtzPcFetL3nEkQ9E1AHPcCE/z2RYJa99rjXuxXm373Nu1s75sPKuknBDz2hhPK8Ku35PLBWFb6BiPU8M 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 ZD0R5dg8JXHZPC8nQj0X3dU8n3bdvYB/cD05Yrg914HIvYZNi711vyi7bEWMPHtwRb5vnGQ8sKVkPReNIr3kpFY9TvgpvStmvD0p4bM8yIrBPEk6AD12rCK9FQs0vJ+aJb0yolM9yL9du76d8jy5nZ68ycTzu7mEDj6YOpm9kLOCPFEzlT1FLU29HJwDPIIP/j3py3g9i5DKONku97pawQC9em5hvW3Sdr24cAu87WgCPfXQhT03UJu9FGQePspvxz1B/e29HC4WPGzXDz3Q9r48WKrnPbF7Pj0F6ss8I34hvWdFET2pNJA9176jveOPR7x3SpY8PnGSuvqsDr5JfQc+YGcVPcQ/arvwhQc+GAbCvUe//D36TUE9pliMuiYDiTycJQW63eGdPOeP173WnE49qyZSveQoaT2xUx69JD3evECfHz6+xoC9B/czPao5GT7S8MO85z4cPciiJz63hqC8HdOFPSBlfDwaQcy8j6hLvT/6Lbx741M8zApNPcavZTzDk8q9M 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 DL70dZS9opUYPt9gpj1zCxe+zeyuvTE70T3o1LO9hVIKvqcW6L2RiR0+vuz4vfiFdb1uRoE8qrIXPtujiru8nkM9c4K1vbiKl70459I9fOhUPXyETL0dq4a9pp7BPcDdCb4cKLu99HSWvFMMxj2cfvK9iBHYvVYAGTvtBys+25USvQmFb71APV49LIu5Pa25qz2KJdI85IAAPmkhVD1ev5+9nTydPZB4KDmiQEO904lfvWZ9gL0N0gI+uOlxuyAp0juZlwm91dTCvF4vgz0yChc8kIqsPAgbZjk/k5o8vQudPey3Kb4Enjc99/+xvRPU2D01vO88l0STvLc1DD7IX+m87O4suKfyb7tBGyG92VGIPTmjrj0y8009e4jKvYNeoT1Phgq9JTzjvexymD0kBQG9hqctPYhdnzs85Zg9T8EmPr2v573CLlM98DKmvJbpbLr8ATQ9LrQQPjTkFj3E7SW9N3k/PmOKQTxMBfS9ZLSIPSRCqzstM5Y9psKMvGFJHTu7BCE+M 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 9zzgyoW9P0gpPTW91TwEtpg8cqZhPR8oBz7lk+u9o4okvf39VT2OxT48X8MGPVcXTLxqmEA+wFJtPYeOcr0LHa48ifaMPbtOmr2HBG29sLXAPYWRHrzsZ0A8oZUNPecGrb121Hi7xrABPYRmmDyn3RS9h2OSPWZptDxAuMM9dru0O0iF/D1dzt28pB61vNUOObyNF6w8G3YIO4+VCb2OxJk8oUi5ulXltr38QQs8XeqEPNQ71z2k2Aq9DgMQvGLWET5xzYi9C4EkPvO9QDy3rCS9wAbpPM2ZLj1NFLW8TXz/PDuxrz2xBFq9zffevEmtoz1TdcE9oUtrOukEUr0Rha89BEkYPvXXzr3WLxk9JsUIvYbGpDzpo3u93QyTvI8rPT1fDAI+X0G0vCXl9L27hL89IUn5O0IJxr1BuCK9cLrvPZpYUTzIwz48Sw4aPgqyhT6n+Ka9/xOzPUICAL1vCei8BhK7Pcyiyz2pL4O9hFAIvru46T1mVjM8YqYjvX5b/LxRsbY9M 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 PasMPXRNUD0eew09OhABviFvmT1fyK09St5VPfeBmr3lrH49RBvivXfax7wC/Ia97jGZvfEgtD2Yags9nb8DvZ8JzjwP1R4+Pa/avbSoNr3Shxi9/C2UPegAAD3Ueku9N8wHPtAtPrtXR3C95yQlvcFqAb1EawK+xtrtPIChrbwAz/m7K2YFPAoWNzwRsjO9u4XVvNQxRjyFDRU9RL0WPrLqIz1dJrO86zaDuwOZpTsltx29H673vQqjE70IU1e6I+ixvezBzr0+L908buMkPbAChbwCmIK9zLAgPceSgz3HW688jvsUvffwlLy7Kui88U6mPTl7+b1q3zq+ILKBvRavgLyOSA29zSu0vHwiE72laSg+Humcu47hkrq1kr+779mePbxe7rxk0MK8Hiv5PcPToz2fvhY9cxfavaBMmL2q8fq9QhVYvWXqv70ZJWm9GrjsvKGrnT3KMUw9bLsuvb6TQz1BdMw9NKciPZ4P5DzSeg69yeMtPNjwOz061wG95rwhvvSfM 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 sT03O5+8q4U0vufUxj3o2/S8CvhUvcPnpz1m44S9tzk1PZqNBL0Y67E8r2VYPcn9Wz1dvrK9mVn5PAp7wD00jYI9ANwUvutAyr0iaKM9utoDPaSODL2FVbC905YmvIiz6T23paO9XqIxPRJExT1YHVI9klgGvdiMJL3M/WM9GHTrvd8DtDxrRZe9NaT7PQkgnb1+GVY9N2C9u5Irwz2M5L6932bKPA16B75gKYi9SS+8PHeS/Dw0Jp69uGxIvZd9070+uaw9W++qPV/EbTxc8O08cjsqvlQ9mDwuuGm71x+iPDKsGbwRj5I9OsUCPF4nJL0DtMo8244LPu2boj0RSaW9dOBXPRAjLT3hPeo61aAHvm1SQjyaO6M9V5XlvT1JQrxGb0q9Zjy4O9akgD3viuG9HxNwPWXH2DxWhIe8NHmNPYqRo72NZ9k9ZzCvvW9cMT1geKC9AyS7PRPxVD0cGMg9FHm7vOKXC7zZQ0C9p8UpvaVvrr0akOK8D4E5PCbhkT3pafu9M 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 7nMcPkbCszxtZjy+xdHOvKHx/T25OOK9/L0TvuJLRj2dsTE+GPfyu+4XQL0LBd49Hkc4PvWo6ry/EwI9Eagwvjk74b24iSU+yfyHvdNuBL5n8ie8m0K+Paw2qr1boQq+mUF7PT8VnD0HXsG9rZqNu9TMlD0jQSk+sPkSPuKeEL3w9g++hTUhPWhrTL21pam6fg44vCvUI72C8YE95EY0u/a0Qz0pbRm9G4rAvAMSzDufU5A7VcYXPX2Fsj3ZDJ89TWWKvCa3zL0nhsS9vGdCvbInhrySf069jsMPPfr4Uj3Sxg689nzAvF+rj7zjsdQ81c8Wvc/0xz24oc88K5bYPS2uuz05Xmq8GAbLvUq5Zr2qzkM8xf2cPFktFb26BbE7CG63vMM2HD0oCo+9uecwPZSEzryTH0A8W3l+PZ1/t7x9Sqo9wM8RPsAy4r2CxG66WD4XPI5Mkb3JdjM9JJDbPZXgVj2Zdx09i0oju22Nnz1hbcq9DzTkO8OFzbxTFBA+TCeJPFGlM 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 HFWRPWwmDr0S1FA8N2eHPQ3RNb3OSoY90HGGPRV2zLwQbLc9ULq7O4pIyD2p2PG9QnwHu2URqjxPPbU9YkT6vI+zi7wxQ449cND6vfKkJ73RTdc8eUXyveCkxL3J/5A8NLKcPcLN372R/wc+Ns+tPVUiKT23rye96XKdvR212D08GgG+EuQAvgtooD2bSt69f6DZPRQHvDy9btq8/BOnvQa7dj1EtLE8fvoVvX37Fj7ogMQ9uwmpvctK7r0BL5M9xW0BPuS1Jb5aWPG99or0PNDMmrzObv+9kbg8vYtPrD2kNrI9yt3svDar7r1hHAQ+m23HvZ3FMb02AOm9AETFPcxa972nzBi8EHdiPQ8aAz1IjDq9OI+PvDa/FL4Jzke9g+GLu2XiIz3RB+y9EsNqvRu0tLwIAYq3c4oSPXipsryxDOa7BzYuvkx6Orz3zBY7/zG4O8viTD061HY6v+CHuwZKmb27P6c9KlRPPeJrPD1uz/+9/0TkPXRqOz03N0W8mthWvu89M Kbsaxy09+qo4vQzA37rGmK+8PH9wvC870zt8You9vYVAPavF2DzWITk9kbNYvK4dOr2LOAo+AMcRvV+iST1oQXq9swhyPaNK7DpQxUu9s5IoPYupsD25DIm98eAlvXj1273Alha9zaahu56uCrxVSzG+YNO6vQJ/iTyQ5hU9qgFtPdtC1DzoWCI9UEgYvqNvgr3uYTg9HiUjPbL+FDx7f6c8EoUIPWjdDL2a1/w9ncykPeWOJj2yQ9G9m/MMPnhp1TxO4YA9IOE4vtEUhb3r2Yo9YE/OvQW9LD28zfO8+fhvPesMhzxy5i2+tTOyPbp4YD1NW1M9E5M0veiDR72Ffts9Gr/YvSwPs7tlXtq980UhPvhMrLxTmlS9mj6NPKQJyT1pux+98MpiO9jXNb77B1u9TNIUPSlXoT3hui6+RrOevGVvIr3kz/U6aaKJPYyRFz1FfyU9CWN1vsse4L0v6aY9Y04NPfoqgrwjsMk9gQJEO5ri6b0QgLQ9j0emPW1Fnbx9bAO+M 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 OD0BDEI9IPK+PIWmKD3UuWy9W2yPvOd4Cz1dBlC9PLGwPUiu+TqswMS9N8HNvYNV4z1rtx+9+ni+vTlivrwEw/Y9zqPZvP/98LzvQok9aaWsPfQzIL3/GOe9BrDgPBbLaT1D1Qg+XPxCPFF8Gzthkz09ozAMu1wUmL2hWhW7iNxGPanwQz3N/yY94AZGvC9QwT2VcGu8QI6cPVAwO7yfzo29ga+ivbcGgj10h4E8Pf95vccBdD0k8XM9iL8tvekur7352BM9bZYHPUqmHDohC1a9gAUFPoxo2rxSe4C8krZLvV4ZHbzu7+a8E5OtvHeI3T35szG+rTcZvj4CED7NteU8yn+fvK/MF71PPvA9fOpQvbkneL0ZfVW9rsMGPtKgSLzOjqG9LWIjPVaewzxtFpm9LqovPvYJ7L23j+q9QWX1Pby3Hj5ePZm9469gvTtzKD7Owc29UmLavQFIfbzasSI+QLH5PF0N270grvU73bVvPb8cR716DIg9VQRBvhtnq70DLW09M 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 s76HbXk+FkeIvrJatT5AaME+UqFSvlaIbr6q78U+KLKkPvu7mr6craE+JYyHPqo3iT7T1yi+bdioPvjkjT5iUWG+GqWrvnlPdj74pxq+5vJNPuXTIj6+J/C95/hRvu5NgT491UE+CQOPvucYJD4txvk9AzQrPm3u1b0hBRc+1Pl5PnjWTL7/nUi+4123Pams7L1cRko+akClPiPj772co4G9+UFtPmYufD6QnXe+ItkMPgDODT7VwRQ+HH4GvjbPmT5E+EA+6R81vvfZP76kC+c9XLwOvnPnTD7/ypE+wpjSvfJnET0pb48+MiODPtN9db5iBWA+fElzPs2/BT5twj6+/GSEPlmfLz62XxK+M+NwvnEdHT7OGxS+6umFPq7IIT584t29uhatvTFlHz5P6yw+VswvvmPmNj4sVR0+uF4fPjhwkL0Dkm4+7uM4PptPE77uPSy+OJTpPbxGQL1kms49iOCRPrQeRz3qIUU8NygLPvAtQT6pSE++ty9yPtMJmT7xzJE9M 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 Wz63SYc+EWxivloMlL1Cxhc+2535vUZ8D75gjea9dps+Ptk9Wb49pCa+dtOfPQYMkDzY0p69XV6NPRXwM74SAEG+E2wQPjSUdT65G8u9JeNivVKeHj4k3Ce+0kMJvvaEgr5G8hQ+7Dcavj++gr6qqAU+uYBFPIN2y7wXHrY9wBB8vrtRVL5s+A4+oCEkPhGLFL5tbJS98pHxPeIS/r2I87q9B8owvpWgdD4dXyW+A0wxvpVDxT1arUU9yNFPvh61Kz2qPJu9WA5mvNJiyz1tZMU9N1HbPPErJD0sQO88C6qCO2hdqTwrG2m9bs/uPO3n9jwPzdi9nY9cPfcyQb60Uv67fq6uvawHzbzZFlE9MvQkPS8bsD3XQdU99W8EPlepz7rEmec88vm0PYuKL70YFA49HRouPSSsFL1acFq8pMEZviknJ7xa17e8JEzCu7+Dhb1iO1w9tCMFPSbeODwjfPE9orYjvUB1mzyrtT+7le8gvc8E8D1NOkQ8mNdJvdiBij184CC+M 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 orxHKiM9PwtHPdiWW72pYY699rgPuoPzzr2/VgA+UNiCPZLebT3DJsM9nRmXvRQ3oDxvrZe+xBxjPkb9DT4ZlMM8k15TvK4EOz6Kf8U9K2y7vXGomzxzJte7A/LKvf1C9rzSfMs9sb0YPZmbpDsKNTi6MpQ0vMU4Kb53spE9K497PeHNiz2W/E+9v5JxPZWLnz0+PSs9xlW8vY7S1D22s887LKnBPGbtZD1y5K68qOcXPt0P8r10f2q85C1TPHqhdL2++HM9cyq+PUI/A70RLlu+rlUMPjB/vz0AI8y9AHUkPqFrMj5Ruds9i8YGvvKO+zzgQPA9bMJPvsg+L74fv4w9uZBNPWBrzbuefBg+ko4ZvhxykL05wvg9XX6dPTxFaryYayU+Ac0LPjFroT1PIJ+9LC0LvPltoj3raEm+5qiSvXox+ruZKO+6cg6XPdS85D0sLJ+9Tu2hvUfg9T0ggJM9kdN/vVTL8T3EwQ4+f+u7PTRsmr3F8Mq8muchPhB2DL7neAi9M s8oEPiffAb7WPag9cPJCPY6UhbyFHSm+y5XuPV7ooz02hGS9J4WzPdjCCz4Abno9kHv6vTUb9LvmAfM6YM/OvS+5sr1gVwA+Xx++vT41Mj0rPos9h8W0Oo1d+7326ns9namePa0aZDzfc7k9NfQDPpxAjj3h6JS9ZbbNvXORdLzkoAm+JXMBvkgHCz7TdQm+NGA8PYq7+D2xzpC9M8JFvg6m3DoGIII8jmsGPX8HMj2lcAg+rYdHPesMs7xdKn28DDuXu96Gjr0s+0i99gSkvW0xEj5uHh6+C5PZvV0jQz4Lsz8+mmmLvRw9ML4klQU+kJouviIt7r3uwRu+JbnhPVNPCb4PMg6+GD/BPcX23D2lYoq9wjMGPgUdRb6PsrG96y0IPmPa2j0nPJ69Tl1IviAxJz7jOiq+GIGQvWOEI76i8Cg+cFo6vqtdJb5TY/o90fssPTSD7rsWn4k7EJL6vXeipb1+dCo+t6ksPehWsLyfKBC+cP8jPihRE75C7pu8rwkIvq5UM 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 fJOJPJa81DyHWKw9BQrvvJDBCb3yAeM9G0fqPV194b1VEtW9vp6+PfUg5L2b6oe9QIumPX1Slzulnzq9JMYPPYXYnr1Kp/48fwDkvSNOhz1LidC7h/bMPZRB3TznQSo9Cv6JvMpZQD1N2s49PeA9vmffoL1jt5o6YfZpPH/lu73QSKu9n2PKPGeTC71njA89/V+PvGg2yD3rzEQ9CMj/vASICT1Fx0e99uayvFd5PD4Eere9szOEPQtsEj2jpJ099/ihvZfhTz3k9YC8xWb1vKpoeDwzqKw9Xr/9vMN0Sz2Obc49+Xa7PMAhtLwxNMW9By4MPpV52r2+9Im9bbhbuxkdJz1KUlq8PIeNurlsh73U59U9cqKzvS8Bpz0hVXo7WF3CPeHQOj0xv0c9z8GDPUmIxj1jQQM+Uk8ovqC0Ib2bK+y8wyGRPT+OgL0LM7293W9YveM0ujw4nCC9qSbtPEoxGj7N1dY96CvTvWxcXr12PaC82Ld0PVo4vz0u9ui98f64PDZIM 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 TD3yYHY9Ic+sPF/cVT3HPfE89YDfuzIYGz2AfzM9qu2MPTQQLT0j+uc7hdCrPZKWAD1ps+e8BUaAvPCNKboMQbI8I8xcPeLPNj2N56Y9bTycPYhV5bxl4zc9OZtfvbxYTj0gtDs9obTavUApMT7Zltg90HMovXzTqbwc7Io984bIvaxDBL7mDWu8RzkAPm5HET27rxC9+V7DPffyQjsWmUa+Z/ShPWmtt721XKO9kY/fPXlyXj0QWwy+e/nxvZRxwTyIt52938g3vvriTr36W949/f7vvUbSg7xGCug9/0ZNu7zGeb32Q4k9FmHtvPq+1bx4CBQ9rpBfPamEUTzW+8u9BUOiPamkOrxg0Uy9kv4fPHaLxDsvfy2741UuvCPfYD3a+rO8E06svSFD/j0JrV08edwRva+XGz6VI6+8eBYgvmfhqb2m5nU9bDgQvmFC171q1kQ9+PYOPjUNxjx2SSu9uh4cPbGpZ70LLwq+6PggPg0NhDzkViK+JViePcd3CD1FmV6+M 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 Xr13KNo759+evLknyz16NHg9xFcnPeK1cbzNemO8U6XkvKc3IT6tWGK9yxiCPJNJO7xtM907cQCQvVk2Vj3RoV+8iNUHPHC3GbyaZpY9qH/bvIN6KD03B609K7vLPMbFIrvLXkS9X780PgCui71Muqy9+pUtPeFGUj29v6C9FxgMPX84pby+WCc9MXH3vRrMsT3rQTK9nxoWPs71JT1UeDU9EiPRPIk8ZD2Dens9FqAmvlussr3IZGq9rK95vL0BHb6yu669jIAyPKZySLxybW49yvVQPXK9uD0lM2s9oCTlO/WAHDv0N6C7z54CPV8LGz78UwG+mcGtPXS0ITvUk/c8FYMDvja7Izzntpi9znXXvKVeyLxjvRM9M+WPvNyv+DvVFQE+4aA+PBCAG73BD6S9OrmUPIguCL3daFw9vTJjPUEZq72uDRA9sJehPJy8Kr0M4zE86nfXvP9vJDzveek8smqHPZ47AT7L7rs9eo4VvBXc0D3hb4u7db/zvD9wpD0BIQQ9M 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 9P8mPgyCRL2D7vc7hUl8Pcdzoj1XRS2+FkhcPfBAQr33MA2+PQ0YPUd4Pz2w89C97DHOvUheXj1ObsC9J7oPvukii73Qk9I9DhvBve+nDbyHvRE+y8eXPWbIG72+Mt89MiejPFbBHL0/aRU7d4b/PIZe1jywFNm94VqJPYeFN7wiwuy9xLuMvOBFlbzwNB09X6YxPb4M8z3GOkU9/ZXQvdXNIj7ILeQ8yhDcvJOzoD2vncY8Q9Pcvbpmy73h6Ww99zMXvp6lxr3MVG48TI4GPkeiX71A0JC9ZTjnPTf0mLzog9y9k/kdPiCrZ70tYgC+dEAVPrlqXT3zgxG+3fcgvhOtvz1UbBW+4nF6vtafEL1sxOg9W2dIvq78wb2Tybk9Xu1pO2y+6LuGliA+ZhIevQ6Smr2hxoQ9P1Fmu4d3gb2y2vy9XefoPXRhvb0r1DK+QK7EvGxAnj2baX+9C+5jvck9lz2P29Y86OWkPYDOKz0As4k9PvybPC8aiD2DxZe85Bs6vWNhM 5r3jqNw9oZsTvgMyC75bGy49wu7/PL9RvrsMqbW9JQCKO57CfbyQQTm9+9XyPXA/bz33IVK9LyL3Pf18fjvGYES+0K8KvtIZiz2JAZO9Giddvmf7RT0SIZE90r0TvaTDBr5la6I9I0hIPayIFj0C7fs9joCPPXyEwbtt/S89PaMlvTYeCr7nOiK+E05XPeKfCL6/ah++TXi2PPkkCjzTrHC9ndWzvb91Pz3q2lu9p8kMPlgktr0Nanc9qrSOPcU5ubx/cDS+sePcPODWhDzlZya8VoIePcXypzzlSRg9EOKTveJITD1F1Bw9Ut3bvY2ygr2PpQY7lfcBPSthhzw78tm8qtmzvfnUULzpqxq97WqFPQYJ+btmb5u8T8AIvbBbbzxbhPo7txqDvKzhAT3P4Ja7iimEvZElbj00qZw9VWUJvKKKhzoolTo8EOaAvcPM1LwA9bm8J2mSPQSVpby5R6O9dXKOPSOHBL1em3W9cjRWPH9sfL1g/VE8lQ/UPTpoNr4d0Iw9M 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 m+w+PkVy9jtpp8e9EfhFPsznZz5zAI++/5k3vj6YkbzvxG88hMOkPShXHT5V4Ky909+wu/42Yj1PSqw9yq2ZvRPnLj5z5x8+TGEOvXtT9L2pSvA9TPocPiXnSr5P72y9YXeQvD1uArwS9QY7voFDPR0KSbzoRoW93UzLvO9UW70XgM48zwrtO6sDtz0QEOs8jA2aPfeadj2Om1k8apCDvZeyG71fMHG9kIntO1BscjyxbTo9NswiPUkiIzwh6568bJhfvcU8dT2IrQe8/SiUPbOa17yS6gm7VKEjO9V0R7wQHM+9l1Aover79rtIoAk9l50FvimBmz1QVn28aNa9vfdiCLzdWqG8V9CTPfmIK72/Qsg9UaugvQLh7j32x128hWt1vDKJHb2wPC29vNTmPPgWlTwgPMw8p4o8PbxElz0+87o8dNnvOl8zAb0unKi8vrUrPfgEnj3SF9c9CfmnPRLu+TsKxhc9kiARvWHF2b3VvM07E9NPu/P9WL119qo9L6xPPUlDM 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 kwtivXf6ejyjmeq8x8DCPX93wD3Lx2Q9CIdOvBPBiD0RqGc9iXYLvoI17b1BE2S9EWBfPXyU4Lw5uuS8s2m5udm0vjy83qG7Qak7PZlLszw+NEY8Gfs2vYQqF71Ck508o/Bqva7syj1/L+i82WyAPZ0uE73Lhec89LSkvVWPoj3bNFC9KNf3PPNHezzZCzc9AD4fvaaW3rxW/dU9oIomvWEStbubPv68jGmmPQ9VJrzUUyk9YzeqPU1Bvr1HZBO9K9LfPfNgibv+uqS9+Hi6PEq6gT1x7mQ8q+nGPADy8z01Cok9zU61vXkMLD09Ura7SnPUvCejpTyxbKu8tylrvfAzuTy7YBA9qAyWvNT7Cr7bumA80VWUPJefpj3mjzg99czJPPYcST0j83E7WMm/vH1Mary2oAk8LH0DPlx147xKV4y8gsBNPVgI/TwSUzu89zoavQwq4Tyhth08mdp/vZ0ZNLsZs6g9OWkWPby8EzyaTkc8MTKDPaafarxokPU9ws9SPY7uM 4byKXV29U978Pa9eQzxpdMm9cowCvHfnvTwS/qw9Z/pDPbCl5z2C8H09jKYEPOzeEDvfv048tcswvYB+AD2Q6TA8BJyyvZ0dbDyXYUw9dad5ParYt73jMjg9fJ+BPVoEFT7d5C0992lhPVsi/T0RJN283bHtPMI6AD2t/oy8ZvjXPa6xH708u/g550xBPd5uwT0QdnU8v1MVvf0SMTyhLu47TM4zvVJJSTwi/UU9rxZbPaaleTwNuoe9VitKPV2HrL1Xpgw+Peq4PHi07rxX/zW88a84PEX9Rb0HYYq8hTKOvZ+nMr3q0jQ9ClwbPsqvuT18fwU+ghMLvc953z3ACOu8yd25vUpP5z37B2S9eZoYPDy1w73bjzc9avImvPL7w73EeUc9t2v+PHHi7T1Ms5w8iFOwPQHFrD2Mo4o8kNoNPYeXNT0AWiI9mbdFPcHHbDy7/Sc9DEY4POwAET0hyju9VE2APC9YHr3R4VO703MjvQt5p7xjn5k9MhRtvF7czTxcui49M 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 yXyxPRzshr105OY9SJXfPdLDj77Ikzm+XpoXvSZcsz28mTO+2P0xvUmI7b0wqTo8xl+MvfIWAb3/v/i8ZXCXPSOeDT0n4iK9f/owvh5x3z0bPAo+w9v6vWfe4bx8i6W96He1PZUj+b1Bea09ymybvg0anT636q88zK4Ovr9JkLzSfbs+S2YcvKHJ2LxWEp88S+qnPScqKj18bYG+WcrXvK1NEL7oSem99NWSveNLzDuA8lq+cLRGPk353D3l5pc9KwWevVYthj67qmc+bsM4PW0ij7ykXgY+ulu8PUR+Ir4+Rxi+TPzOvT+9XT2bGla+ZEvkvR42Ur7zcv49fxvkvGfrqjy8r5q9tgMaPvmgiz3IaqQ9zhkIvkYzFT4de9o9Z2AXvhNmKr0+ELm9/hg5PcnQ4b1WgtY8OuRnvlT+fj4QqBY+p37nPbqBWb37F4Q+Vt/CPRFvED2IWEu9aXJBPlreKz0VeLO9WLS7vfh/vr1db+c9Vj4Qvrg7yb3pBDy+aOw5PsW9M 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 B+Ejvv8olL0pcCY95nEbvO+AID6HoTs+FWPYvcHKkL3xVFs+TBlGPmxdA74bgjA+OgVgPsDZMryFulu+CEZCPhoMZj4hTlq+A4JkvnI8rb2lHxs9J3ayPP1OET4Q1qe9uiYyva9DXT0yY1o+1IePvT82Wz4bGQI+auahvHrbmb3d+4s9mfgHPqtvp732v7a9ZPR+PWE4CT0o23E5DQKdPPMKvTzD0de9scHqvOKiRj0U8A08KCgcPZ2EeD1Wkp29mzfcPN8JeLzPq5M9J1bluxGEGb2oVhU9QmJLvNIb7rzVI/M9fg8FPLgX2b1ESzA93RSePWv1BL2pf/Q82mRXPdFvPjtOOuI87OM9vPuwgT2oK9e9q/csvTf8XLpMNrY8jfzXvTnsaD1w4l+8oNvWvSyTP7wV8og9uc2Fu75EDjv1sao7keeCvf8KMD2LoTi7PJ5LO/DpP70RQQ+9iPauvOzhrz3Jhaw7tssHPZ8WQj1LHpC8guqDvZyiJb3zSYM96V1ovXFJM 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 uT3DmWG92p2sPdJq27lzwfq9XEGRveo30T2NN5m9jPWWPQJGIT7nvQI+l5plvQm37T3igZk9/WTMvPf+GLx2g709jWNQPURTLb3Uev09jDKFPc894L0FrTC+Rd1CPt4a970dK0g9a1AoPp/Yrrp9wIq9xWHlPd1DdT0b4UC9g6VPPU6SrT2c/to9LMnvPJI2GD6/xo0924XavQdv770Xcgk+xh4SO+tg9j2mprA9fQ//vFIZ0L3QhgI+OfOaPWvg972JRMs9q6eTPeZRrD3015a9xn8EPqxsXj3H7Na9FrTuvTJbjj0rgPa8gM+cPSKHFT508PY8FBKsvTrcDj77TLI8fwNIvcCkyTt5yNc9BWq+PRPk3707K7U9CXhfPe+X4b28ARi+W+YBPrAoO70Es6q6BEqoPVXCGbx3Z5y9j9KzPZtpnTx+Ssw8JxHgvMeyGT120x89Dy4HPcVyxD35Kag8ctjfvTUnjjwo5+M9r90CPX5QaTy6Mpo9kIvfvKlKIr23hpS7M 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 4IQgvpzISr4MZvo92ecUPkSa3L1HQ8E9klX1vaVl0b3luOA8a2LYPfB0er0czyS+84/JPfJsxb0kUba9OsRSvUAxPT43w7S9hmbCvS3MOj4xpUs+anqhvRrF2zqHUna9x50HvpIuBT4X8AI9Or72veShCb6GWwY+QhYevmNpsb2TgVS9guMrPop/Er46CgG+d4/JPc1skT1J/j++2Ai9PV2gCr634FG+CaYEPvlQUDy9cD2+GSEfvsj2sz0oNCu+Yn/lvYvTAL4jQRw+huBXvvToQ74DQgA+QkQIPt/u4r0dOJA9cB0avjCh5L05NgI+6bdNPR6DHr6scJ69tfb4PXPrcb30PkO9VCYBvqzBOz6TvaW9e335vQRZyz05EQc+el7QvTp3EL0JJmy9tT8OvS4hPD50BK+8Rn6hva3n7b1J2bg9Bdn1vYY8ib1x5/G86vsiPsQzWL0dRcq956zkPIoPYz2gNDC+xsgSPdOiGb4h4WO+OJUqPpNJRz0c6oC+KVEcvvF5M 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 4Cw9veh3hD1Jov88+u4SPY74XDtUTN28SvBBPfauqL0ugtI8vLViPaM2gb0B1oo9IpX6vEwZzj2e5Mc9EjOvvF5hozxYYIO9JmxivGTijD1YB4M9S/UKPn2TJjzH9RY8+AbevM74rj1/Xb88/Af6vAv+OT15Eqe9UiUyPeEOJT2qxrw905qmu9MporzkxIS95C4EPqaoUzrU0eA6dMaYPe9gIj36GgO+UZbuuyjpaL20Llo9ZpDOvRr4ur2DLYM97o/7PCy/ij0aGxM9oGAgPOnyYz3DcXI93yOdPCnXqDtfzC89IT0kvAE557xO3cm8fScDPdjksb08+6I9MdwFvcEdyz1q4MQ86trEuhNdKDzmNIO9fMxDvGGU7T14Xq08kVcsPmZWjj1eRFI90ByCvec3DT5rSF69NjbCPPVPkT2uSpa93yWDPDMbfb1HBeA9Ljc9O8MUtL21upO9VW4pPtrpLD2fj+Y7amYhPsjRbz0wCw++5rQaPXXkCb2aHwi9v9AnviFCM 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 yIQcvhJ7Ajw6WhQ8tgcPPYu90bxY/1S95A1RPdG7xDyU2MW8Zc77PF7Hwzw4PaY8LDbhPeaH4L1FoOi6/NiiPW1Vxz3YHgS+ujqdvFuEn7whAak9nT8GvuBKH70X36o9HSZAPU7AnjwAxhQ98XxpvTbugj3t7eU9xwTbvYSShzw4upe7YzbRPcFeJb66Tw2+6jZNvU//xrsBNAK8w3KivWrh+T0u2bY79BkIvqJrFL1Guum8BcA/PWuuCD7Xgyq9LIvguqQTCz04RbE927/AvYd5Tb3VYD691YphvMimfL2zhci9ZikDPWyBJL2VG/k7dqx4vUP6Mb2epQe9+2rSPWJy+rx7l8q8ZXWuPTdwBz4TEIC9QBeUvP6wMrzmX+068/uwvepj5bzqLUm9BRqLPVbh2zs/SCM9EQiKvejqsDyDFJ89QpFivZZrLb0lbYA8XbdAPYm4Db52ntK9raAmPTFZ4ry+Aku93f7nvJIM1TwId207Lt8JvfDzSb0DIVK96GiJvA/7M 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 R92IPX0S9L3ggCG9PTJsvfAyWDwOQx+9D+aKPLk7sT1boss81g2nvShVKr6kjhc8H1CZPY/Ltj0sugK+TIKhvbPBwLy5viM+6u5xvX5bbz0x6bm8gsKjPLs+fr2TnPE8T8/bPJ4iPb0sC9U65GHcvZQHSjw1WN08zhSWPP7tTr0Ekos9vQTkPEYFADyNrDQ9EU/MvWOi3ztZmfQ9Oq8XvifVub1o7Om8tyhsPVaYXD11m9a8BIGIPdE6kz3S6469+wkGPV9kIr1s+di9xb86PZTQmj1ABmy+Cv3yvducCj2q0QW+FKn3vQYxcT3PTmU9rGF3verU072Po5894dvqPQCAv7vpgBg9E7NSu484EL6WutE9pIh8PaD/d72zitu9s+qfPXQIxb3iAtm9gIaHvATpOD0nfD09cDDNvVylmD26JsA9pGwXPd4i17yao0E9V3OlPSc37b2eBau915FRPeYRq7sM9eg8m5CvvFb8mDyEI/k9tIaHPHetAD5HX649oOiXvfB0M 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 tbxjepo9vSA/vv+dwb0mAaQ9HwbYPdof2T1KAQA9/1S+PP/hSj2hMtq94/kVPrTeJz27r5O9piPWPXOEV73Jr1a9XN7SvEpZrr16/Rm9RPDIvd8/7j1lSyO9VsF9PMSQoT1UNxs9f2JPPFqnXb0WeGo+zeGhPRc7mTuF998918Y/vfrBMrzd4La99906PU/twL1P/wC+f8sCvVq5gL1qQlE9sorDvLNO7jxj7Fe9pzzHPB1Soz05eQM+vEmaPYaGqz2YyL29qiqCPXx9+7zu7kC9TFUwvY1dn7yZYgY+42C8PYfnAj6fLYY9OJgfvAfxCj3Tm+e8yWJ7PQly2T3mJe48mW8HPbUcjb1TAIy8wAtkPbC6h72hVW88zScnOzqwJz4cHSG8Pcx9PJWEiDujplq9PcVbvcPyF7wyEuk98DIGPsRQN70AAj491XCBvfLY7z1Cspi9eh92vZ1JEj33ZT29NHhEPaqOZb3XEfs9Bf81PWedvTxGajK9VCyjPczySz2XjNs9M 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 Vb2+JQS9BbzBvAEcFz3icz49TjqdvbheB77jihQ7b9DOPV1Gxr1jgvK9oLv4vJtLPT3X6M69dmZvOlsbDj1Fe0c9fLrsvbxi0L2lL2A8x5SzvE10bD3Y3lK9wTSZvKjX2Lw6EcM93RkDvpK4jjzE7gY9wN+RPXNJZr30nwK9aX2yPJR3Lz2oh4K9jSJBvfx677w0Tjy95WQrPv6vvL2qkdy9+hQGPkQpuj061wK+AcZ7PKezvTxuHMw8epsqvW5wkj1hTb88Ci98PdNPXL39dQa8AhCFvd2Qkj3K7x4+JHHQvfOs/b2Q0G68pACaPVjGa70qQPS9Ky/4PDdWjryQ34q8DRlyPKH8JD3b8Ws8UZAkvtB6eL0ALn69tA9vPcFI+z2A3gu+00HtvI/TbT18lgs9IuedvTfaGT3ur2c9uLORvHiSvLrUvLQ7//RAPG1BRrwCWQY9LOKgvZ38ob0sdT69LvSGPvCnEL5XTxy+CVmjPR3JGD3frgm+30AsPJlr1rvx2n47M 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 Ff1SvlFcwbxHoBW/lKDevt2Aiz/VRhU/Gyiuv/+uir91qTS/9bm/u5wDxb8PPoi/GqZqP5EMnj9XfpE/yfufPyGPVT+OO0Y/Dg6mv0SXlL+5iLs/Smy+PybScz+igqY/HVmHP/K0vT9BHpG/JVETv+aLfr//uo2/QYhsvxncM7+ovHo/ZPKJP5NDqL977aW/PJJpvG1k772GVRLAnYIRwJWRHsD7uClADfOYv/x9bb9zaMy+hKc4QDH8+D6H/Vc/NWdOP71gHsA=", "training_traits": {"structure_gen": "Zigzag", "n_layers": 4, "max_nodes": 17, "activation_func": "Sigmoid", "epoch_num": 10}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t)M {const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())M /31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(nM ,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.aM ge,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.M size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(thisM .angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cM os(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight)M ,random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(M o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250M ),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),M e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),eM .bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVeM rtex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,2M 21.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,M 21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.M bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.M bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,10M 3.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5M ,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129M .1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,30M 5.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,1M 26.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.69M 9,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.veM rtex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.M 199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertM ex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9M ,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3M ,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3M ),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.M bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,1M 25.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431M .1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVeM rtex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.M vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194M .8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVerM tex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,3M 56.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.49M 9,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.2M 99,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVeM rtex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVerM tex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.M 7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(3M 77.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=M >e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(eM -n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.pM ush([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relM u);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){M const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dM im=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[M e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}gM etNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.confiM g.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){cM onst t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&M "fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){iM f(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=rM +"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e)M ;for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,tM his),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!M ==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChilM d(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:M "text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=fM unction(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjeM ctURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="105";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rM t,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createM Graphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAgM e(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#M 795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2M ","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,uM n=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.M loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryBuM tton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||saM ve4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),ztM .value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*M le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,aM n=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),dM e=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+M i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,M .8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wM t.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2M ,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=M e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?AeM *=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.lengtM h;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(BeM ,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.M background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.recM tMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(M ),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=CeM [e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(M e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25M *le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost cM ertain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),UeM .textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMALM ),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your PerceptronM to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*lM e),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=M 0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"M ';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAM ME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRM ON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,6M 00*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,heM ight/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,heiM ght/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#M ","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,rM ,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resiM zeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[tM ];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimeM s. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in M the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mrM (e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],RM r=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFM ill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life CM ycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b481ca8b871a210","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_576", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 2, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 3, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 9, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 11, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 3, "activation": "leaky_relu"}}M , {"class_name": "Dense", "config": {"units": 10, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "ykblPMc8wTqVHrE8IRSAvCg8Cz0XrB47EF3CPKNwhTuB0Yc98oJyPUezgr3sLzU9mekfPHOrHj3L8dS7mFxovLwwKb1ax5s9yEvDvBNgoT0V3bG8IE8BPeZ+Jzy9MpI8MzYqvae7pj2m13o96VjLPMw8Ibs7O7A9xc6UPOrGIz0Mbwc8FVy6vHa3hLuALye8fOqQPQKKEb0mC0c8Tg+xvMXmIz2R30c80tBtPV2IsjymNO09mwo2O5dCWj3IrNg8gnOBPWLTTb3PzRE+M 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 Q7wzxWM9M6NLvRNxID2ayWO7FoezvT7Gar0nTju877eLvWvW9zsyGVe9FEi3vVRWjrxFSBy9kTl6vcqHXjsndgI8GknPvMiDhb39REy8nEkGvQNzZLyn6Ka7KeHTvUhQhrwF54u8fCzMvZmAJL2YHkq9jCJPvf+EJ72TXTw9/DXevQ2PrDwDQ9a9u0ZfvBBYnLzO9Qa8SeZMvSsCL71PJh+9hxYNvc6vIrzPEb+8f5wyvbGxiL0TP548UZtyPDcUEj38fii6kI4AvEDJp72eMMa8JKPnPL5qRzwwInU8BxXVuFmLBr0skvi70u1xOz03bj17Woi805UQPcehmb38se08bvFsvWwfDzq8qEg8KRazPAzvzLyMVX09cwM4PcnNbry7FWo96IZZvVoonzzsnSc8kiOtPVStGj00zsA9a33OvMIFLz05kgk8M3GkPb5fCj2ejOk9zZwRvXXekz1S1RU9vW3ZPcS3+LtbsbI9w9NJvQVG7j0nLXQ9gMpVPWizMr03FfE9M 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 wxYSvQXSnb1qiSC8rQwSvXtKmLrNpQK+b/HlvMcMsL3EhJ+8lwHHvebaFb3Ash2+1gtUPemJkb0jfUg91BCkvVhONL3MaeW9WcPPPfGo5Tr22PQ91ehJPCmKCj3R/Zu9ewEcPvLWVLtoVTE+D60yvUsvBzofRwY9OOQ/vMrv+D0N1oq9tsPrPfTu8b3K9xQ+goKXvfo0/j00zFC9Bpi1PV6c5r3JWgE+ThojvQbNhT0LGXa9S0OnPUOWzTuMgTI9k9KMvSRUkryCsOi72cDvPIWjqb0zD+Q70fLfvBg+w726h3G9skusveW+z7xeXkK8FzHrOjeff72wKqs99NOovP72zzw9xCO60AWTPUKtjjz2wzk9IHglvQKV4DxGABE9G2SkPI8PR73+epU9H2BsvRI0iTyAJ528GSg8PUkLQTyD5PI9FYRCOxkbbD3owCA9R6aGPQJhNrwQ+QU+tTIAvXRf+D0Y3h89v/kHPuMsjbzByCc+vXn6PHyAnT3JXKk8oeo1vMj9M 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 XM1sOmUHub0BIUq8SB2OvDBZBzz2CXy9l17fPM4sVr0GT5w9c4J6u4BUqrzBYfY8kLx+PdtBHzz1+Zw8i+CJPdS4fb2NMHc8xZ0dPU0HSj2WtA49Y7+hvWM+Tz16cNK6QD6OPSJNGjzXxBe8nSXKvSK8lbsnlcG97gShPTmXm70D6Jy7u2KVPGwu5TzfLK68UPTFPFFviLzWIFu9Nr+tPb5HIL2msJk8LNxZPC4dFjviBO083/OmPGpeQjw05D07hnFEO9prrjzh0/y7omAAvUi8/bp4tzW9tpXOPN2vNL2jspI97/kbvRQrl7xQucK92y95ue8OjL0D/g28hkEHvsaLCj1djga+MlhhPb/knb2ClyG9f4COvS1Vc7z68Q2+inHKvHXDEb5gcQ29seebvQfQ7jw6RgS+OvJlPSjMVr1PGoK97BXavTDu3zzkXQW+4WmSOuwPAb685dK8QIJcvWczBr263+69B2FRvTb0B70JjS29GP5bvCsOLjtVxQ+9vOU1ua+5M 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 rD2Ysx8/Ms6fPr6bgD6dc8s+I0HRPlHy8z5vbsa+iY6WPHAMAT8KTgQ9bknUvrnrJz4xADC/mc5hvgnIHj8McbG+xJn6vSN3ej7O8Au/SgYRPihtKL8/hR0/WG2XPuG0cr5+GrU9E6rcvcgUX77+ToS+d17TPnv2Bj9Ztos+UNccP241K75m3pM9SbU7vyR9zz7QIsM8M6owv418wD4KaV8+J4ZEvpxrAL7xBv29EmESvq1A670dD8Q+VWsnvjXBFr6zi749zgYUPnszQb/NwmG+clPmvZZ2Az9Kr3K/nZTpPvYtnT0Ub+08McaPPtW94z6pKMI+qrM1P5EtAr9XDrE+nMScPmFDs771cz6/ytenPuuPzb5BOpO/2bkqv7hRBb+J0t4+0skuP+8LsT5QM2y5UCMZPxD7Ij8pZlq/ymxMvwfPEz+VHIC/Oycwvth1mz2C+Ua+2ZMnvpj5MD9wigy/JkrZvog5hz5f21k+fT9NP+loWb0v+FO/PQB5P6cf/j78AyS/M 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 6j5h6zU//GhrP8S+LL4XyeY+qnfsvg6yWL8p2Qo/TxhvvakGxL68XKa9", "training_traits": {"structure_gen": "Random", "n_layers": 8, "max_nodes": 11, "activation_func": "LeakyReLU", "epoch_num": 4}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(eM .birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0M ,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1)M ,this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=newM G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rectM (i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=rM .x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight)M ,random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=tM his.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const oM =i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bM ezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierM Vertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),tM .rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.M 8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,10M 9),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.M 5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7)M ,e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(4M 3.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezieM rVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,45M 8.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,M 296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,8M 6,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.M bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(1M 82.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVM ertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierM Vertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVerteM x(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(25M 8.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,M 275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.M 4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVM ertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,M 236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8)M ,e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.M 599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,16M 8.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9M ,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.M 2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.M 3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bM ezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.M 4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,M 239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323M .299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,3M 00.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.beM zierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[M 1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;elsM e for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leakM y_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;statM ic __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.M flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayerM s=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.maM p(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=HM .mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)M =>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUM int8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",thM is.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",M n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty(M "width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=windowM .getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListM ener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||nuM ll==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=eeM (t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.heiM ght),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parsM eFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListM ener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="577";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,UtM ,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=crM eateGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["M #231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634"M ,"#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<fM t[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.styM le.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An()M {zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.clM ick()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingM Button=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yM n=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.viM sual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vM r(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);forM (let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&M &Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/M Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+weM /2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xtM ,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebM irthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,rM =min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=HnM (e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,M un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeM ight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),KeM .background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();M bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(M Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=2M 5*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL)M ,1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% coM nfident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70M *le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. M s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLDM ),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],M c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.teM xtDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.M 5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?rM ="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-2M 85*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATEM BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.texM tFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){letM n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeM Style=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+M 54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),aM .style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing M both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neuronsM activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="M 0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["198M 8",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",M 74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layM ers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954eM0 159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b4892b52e8aa1f9","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_363", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 3, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 10, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 3, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 10, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 3, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 10, "activation": "leaky_relu"M }}, {"class_name": "Dense", "config": {"units": 3, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 10, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "4FexvdX6erzICO28PQvJvM/LobvUi9k8YkyjvT/g6joobya80lMrvJ6KBT2+mUW80+SQvXaM6Tx6RZS9X1hgvZc36bvmIJ88KkzIvMt9AD2o7YG92R0evWe0yTwzKtW9q8UivaCLPT2+/xO6l+Odvd2UxrxMPzK9weNyvbJ4ZT1lIY29W2H3vFfhGL305ak6u+A4PH8KzDsndAq9N02/vYvhi7s8qdi9bKdLvXn9Tr12Q5+9tcuMveJwxbyJ1aO8F1KPvf2vJD1fcqM 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 Q0pj10yaS99a+WveanODzefrS9WcRYva74DD3Aegu86xz1u/+qXDt6Qny9yNiHvFp9iD1zVFm9gQH+vFBZnbxne3y98HZuvUlmnTwOyK69Dneiu1eYQz2D/aG8DW1LvPVUFDxCWRI8aXxJva+2WT0s3KC9X4wYOy8URzwzj5C9V/kAvdSAYjzg/FK9fUJivf5qUT0/+KK9HTLCvch0Pj0CmV+9wk4SvbK2n7zwrSy8AFjfvDZx+rujKZG7O4LcvQL6VT33cBu9pX/evM5hnzymh7E60KGvuqZbKrvIb4e9zqDIvTKQrT0UYm+95oPqvOOjRj3PmRm9Jlpfu7GEBT2EVHG9+U13vfBVFj3Uh4W9jZG2vbxe3TwJnj87+ppxvUg1qT07wFS8MaN+vfLOQT21fAi9DCgEvQWqnT0g14s6sCwtvZ6XPj3W8Ji9B7PKvelhxT1pkOC9sY2WvcqmM7zvGJy8pgs6vQF7oT221YO9Rw0JvoY+YD1p7gG+UG57vQ/ExLw+hdM 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 Wb4bzJWwm+BIkFPe+2DL1iI+a9a/liPd70Y71CQdq93nEoPKQuX70IneC9DyDYPMtjfL2t6Hm9fR+cPUTVxb3N32W9RQsEPN0ICT2e1Sy9xBz6POgDk73K5de9AsxUPA7ypTzNjok9qdKwPKSI0T3wA6A7Gnw1PTSpkDwjtRw8VTHWPcfuCj4t8bw9IjAOPOr8sD012ic9pa6NPGLukzzBQpU9toNGPcD0Gj4Xui0+6oLdPLCjNz3M/r+8n4bvOlZeDj0HqDU84dd5PX/DHz4kMQM+RYppvZb+2DiZRYi9H9ECvX/0p70Pcsa9/1ICPS9gHz38fwg98/2MvQFLX70azAS+Wju3vYqe57yH3ge+l9JRvCHNFL09IwQ9h5ANvn6XRD0PVIY9U6TwvVEVeL1pa5e8VekCvZBRjr2RiSk9oF+evSyihDzK7bU9wdIwPayRl70+G9s8GfGbPYhx4r2XEZk9SYsPPPH0g71mzwa9wMuPPQl+oL17XB29luP2Ow/Oybz6pCM M9cOdgPGTuFD2VWPC8HQO6PThgAj2vKEs9CKwPPKpjsjzVR1Q9CGRSPTQK17yVja+8QPqSPYqpLj2Fk6e84mUhPTwgJzy73LE9oWWivI4K/TwuDd48WAUXvN2F0D39OpE9V+mCvW1KET0bAM852zk7vaVcSj0Rgue78ZUQvpLEDT79Rnk9F6skvYUChz19lnA9TUL3u0n+8LxCwsO9ZSihvaR+ZT2AzZK9xVcKvcpYmTxQcZq85QE4PP4roD0Lcji9hIV1vRdUBj36JJa9dnWwvTR3CLuN2WO9d7nwvOeyzTzMnoe9j2u2vS7grD2Yq6S9J52qvZsgBL1/dAW9RJWqvada/Lt5XUS9nY4Lvu5xYDwzwxG+ciQPvmwaBb1pK3i9DvzAPJUUmr2sS/697etlukoMDr1nmpy9n1qCvcm9ob07XY699AB/PbcuM7s319K9EP7RvFtpxb0mLmy9R8b1PERNL726BrC8+04QvNq2bL3/BwO8fyp3PUZoHrzW9om8tQ+HPdM 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 m1Hb7HKTi8bxdWPIRnGz4LKXY+AUZwPZYWXz78ib4+IWSGvFf8Oj7wHok+4CVPPFoNjT4V5uU+yhCSPWpTZz5ljMo+xjmqvFUtNj7C2oA+K7ktvZ3COz6kC48+ku6EvStSMz1pSRE+1E3VvSKIsDyToGU8D9bRvCiJiT0twTc95bltvXpzvLwu0da8mahNvnQktr2t8TG+m3Z2PbHVpT2d4qg9Ye+XPb9GND36fY092TzSPK/Qib3Ea9W9p3YJPmbYCT4FP4Y9VOTMPSmjFT6XOLw9Q1r9PT8rSj67Rqw9iuToPUeHrD07g829WGWzPQipGT5xc8C9egYaPjCu/z1qVT+98J4bPfoqG77bC4K+cLNzPcAxv71BTaW+BohkOzPtBb0vYuW9/DmKPO1PNbya+mK8qLUzvcJz7rxiHh09trBCvRr+IzxEghA9lWJYvNUXFL1z/6O9AjctPTMDKr1x3Gu9ltv/vHKrUr2iMtS7b/xKPTfLubwkXSO9BpHBPeYnXzzt99M 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 0875Dqu1AVETyzFBO9vnG3PbQ3N72c5k68ukKJPQYbFL2o/KW9XlRlvPdzTjx4mWo85XeRPezt5bxNjCO9HnugPKAYh72XOGW9DUVjvbUJg7zt5pS8ys5Yuvs1FL2rYNK8xgCiPEnM1jwP1H+8V3S2vexSgD11GGU7Kjajvau0Xz1497M6gkcZveYhgT1zRQK9DILXvKcprTrFUHA9FKzcuwCmNb3R/E28ZbT9vEYTsjxMeTG8/83VPSiorr0ntCc9SqPXPUWI1b3OBpY7+zgoPXG5mr3/s749ayLKOvbZQD3m+us9zOkKvfu/dT34qjU94Jq6vXYNkD3ki3g8zqPtvf/PkD26SHu9JxztvUMDtj0Vpgu+rK1HvSdsqjx0iZI8hsoCPBtt9b36AQK+IWxcPXq6hL0RRd29qIupPWYiUb309SO9f8tzPQ/dirxx3h0+2sndPW1mDj17U0A+/MDBPYOY5Lyv/Ao+Dp54vIxAdb1WM4s+sq0/PjkUjb0nZnM+Pkg4PTM 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 dQhzzfYCa9dpBwvamGizwZ0UW9yakKvN5smr0meAu8HF6KPHFejL1PGMe8qL2MvFohhL3aK927N35WPai907wGe+U9aM6iPfw/j702abs9sItGvKDaS70x74g9pTU9vS8MnT2Gj5s9j4Yava0rBT4L40E9/EA2vjOapj1bmbQ8H8nGvad5GD0pJh69clDaveO1sD19Toy94YZjvUQO0D0I8hW81la4vCIBmr1Wu4q8hwZLvfS61rzX+ES914LPPHAe2bzZGwo9KHyNPQ3MbLtKGTI+v9YsPqfjKb13GQE+XeToPYilW72agN48XSz6PS0emD0TnZM+GAhCPheceD1hR3g+QebBPbm+5LxJXB0+59uwPXSLtL00wbQ+FKF4PtR7Sr3EY5w+/gLkPZCx2L2RyjY+1bIWPsUwmr20B7Y+0AlpPnfRLb5dzno+SCXbPU3msb29p3U9Ry7UPWMDNr6C3Wc+sAwrPjN/Or7DGXw9WPrIPKdyR74jpSI8BPkAPURM1DqxixM 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 A9qgYwPRPnoz0DQKg8/HLQPUH/Cj0VFTM8pGY6PXBPBT0WaRU9NoKQPVpHMrystHM8d06ePC1B4jsAqYe13ekHPa3Ed70AKl49vnzaPRv5IL1PzRQ9nGNcPaIosbx0OZi8yoFuPW4jPL1eFn6840TMPfxVqr3XH7G9Tv3MPNm0Q73wCBm90p+OPE1kiD2jCB+9KDakPXIDXLyZ1Pi8mm1VPZtOVjyf+Zu8k9U8PcJGgz2c+2Y9ZBqhPYhpD7zBtki8plwpPZ7CSTw6oZy7T5OTPR7/ID3MxyA9snxUPY71LT2MbYU9ug+sPUSoZD0kOMs7bLl5PRYsgj3uLPu62DvZPPlcO7xYNo48BU3VPXkJIb0zdG+8z5z8uxjk6Dy9ub49PMCBPZXlDT1jR+K6d97GO3fZrT3FRIi9c2Q0vTDZ5T14F9w7wsQDPHZlwD3cXIc995AxPRsctj2Mg+Q7PEn9veBhRz2H3Ae9J+KtvcARuT2Sqhw9LVipPES9Bz7BX+w7qe0wvbM 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 ECgz1+sJI9K9aIPcCM1z0TT3e8nAyiPDPgEj2Fq189etuAPQY27buIrIA93O5QPfJjtDlJB3g8AWt2PfuN77sliYo9AXEqPZP7VTxXfAA+tcAAPrSroT1BUfy7cACHPSfxDT1r/2Y9/TDwPeoLgD2t1aU8pm+bPU16OD1CygM8US/HvEGQ8Lz0RGM81uoHPANU2jtzXye9AFBmPNqJXzxicRm90uDKOxy8iTx7H4+99XadPO2Har1sr5G9z+2gPOVpsDtXCC2+iRd0vUr0PD1rm447UBSGvN+9mT3jIDI9YeeePc+L1TxE7fy8OEBVPFeLxDzHH+886RHKPCkAhTvAzGo8d6NwPS/rijyOit+8UbVYu648zLwDwFA9m3vKPD9pjLuf7109FuohPZxRLj1IrOc8rRYjPLMxXTvWsIU8B+/YPAPslLqeoVA9X+/JPa1xaT2Vs4c8LxlfPSei8LsNxJM9BSrDPeVv3Tu1hYk9SD1gPEtpK70TdKq8EOpiPPK2EL3lZBM 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 HmQr1ODma9fhokvbOP6b2PIri9YOzZveiD6r3Uwgu+EL2KvTvpS71LgKc7pZatvf10pb1x5u293Ay3vYL65L32LOW9N1fkvSRAZT0C7DG9rHyNvaLJsLxJyvm8lKyxvRJMZb3Wu1i9xhRMvdsjb7xoJhe86zEPvY1lmzyWPoQ8op+wOxncXj3Lb0W9HXkiPDs/vbzjR/G7Cgi9PamGKD03gmg8apO5PUcsMbtQ8sa9hqx2vCuhIT0rK0g9oFKtPejjU7wslOE7Er/aPfTYr7hWNwi87h5FPSslGrxQLXs99LG7PR91Ub31Hoc9w69APYod2rxkxPS7eixyPK+SW72t0Vy8m5P2PXEYNb23LZy74EFMPTQ/GD13ON+8Yvqhu1AxdL3AC4+7FUwiPc+LKr3YoDu7Cs5XPU1YvDxCx348lpATvUYgLLzLWpC7bhTwPC8hcjwb8d48DwlxPXnO1LzVvKG7p6ZQvYOGGT2AVnY8cmmCO3zBbb3bZ3u8wULhux36Gb3JDoM 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", "trM aining_traits": {"structure_gen": "Zigzag", "n_layers": 8, "max_nodes": 10, "activation_func": "LeakyReLU", "epoch_num": 5}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,M 0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatM io=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLenM gth*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{M constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.M vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createM LinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;M o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&M &a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;forM (let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierM Vertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(4M 78.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(lM =0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,11M 7,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVerM tex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezieM rVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVM ertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,M 221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7M ,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),eM .bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.M vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.beM zierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVeM rtex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83M .299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243M .4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertM ex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,M 253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.M 3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,M 268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.M 6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,18M 3,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.M 3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(45M 0.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezM ierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.59M 9,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8M ),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),eM .bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bM ezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.verteM x(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,36M 4.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.M 5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430M .2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,3M 43.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bM ezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.lM ength;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(M textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));stM atic __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([tM ],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;M i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.mapM ((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.minM (r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}fM unction q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.unitM s],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}claM ss K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=M arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*M this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("heightM ",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.M ]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._evM ents[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.FilM e&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offseM tWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,25M 5,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documM entElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemovM e",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="364";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!M 1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!M 0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],M ["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53"M ,"#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ftM [ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++M t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,heM ight),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResM ultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,YnM ),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submM itButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activatM ion_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(PM e,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];forM (let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e]M .length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,atM =.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)M /1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.pushM (hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`PerceptronM #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;CeM [e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2M );ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),M Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fillM (st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTEM R,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||unM ++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,M o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);fM or(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belonM gs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),examplM e=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),M Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=M `Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+M 305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[fM ,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2M )}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+heightM -170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day"M :"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+heighM t-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),KM e.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/M 2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let tM =lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawiM ngContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,M height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){returnM null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My rM ecognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recM ognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="M 0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",M 7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["HumM an",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"ActivM ation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmL wyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b489e470fbaa21d","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_128", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 9, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 9, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "PmJavaFrWj3zG5+8KHTvPBKwgb0sb5w91uKYvPG+nLxUjHq9V3eHvGDOpjy/p2o9ToNUPQlM170XTtM9o4f7PAdWxL0kE669KB6+vL4t/rwHDdG8VLYSPf2T4L1Me8M9AUuDPWv8s7znV/G84mHvM 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 yfu9nd5uvUTMijwcYoY9bz3ZPHc4fLyl1UI9rQqpvdi5Gr0S3We9SrbsvXwFXD20yC0+AZw6PlVVNLzeQ7M9Yy/VvTDj6L1Jyh++/cEOvvf0hT14eCM+R4Q/Pu3fdb1KtQA+l//wvNGkA7uiUBq+OQWpvewF3Dv3VAs9n5jmPR/xbrw8fFg9mmfLvVzyVb14wBa+rqOQvZn4Cz3iCVM+occQPt1hOL1ocg4+LCEBvn7jXb381iK+wOLxvY//oz1zSgM+BmbaPSTCRb1ibTU9K/1jvdvxsb060Sa+H2awvXKB1TyQ4wk9aCOOPb7wFT1XbVk8JjkQvTeNrrxaWne9/hW1vQn2bj1E2EE+518JPtCYk7yTFqk9Q5oAvmNIq72UeAe+q9+TvdKntTxTJ+M9wI7OPQ9NDzzbRFC7sd0Du/chr70ywNe9cTDHvACsbTxJxqK7NGeZvCM6kD3Kvpo7gZwmvAmder2I6sC9ryeMvACnsjzPMSY+gZWzPWUYmT1zzAA9+CnmM 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 pzi9a2yAPVdcCT6sqno88i1OvZVeJLvCmXK9cI5qu0V++rwp1ai86QiJvfYQBT5b0oi8TIhSvcNCLz31JqO975qcvehsJ70Kcs29dksKvR4FDj40N2M8K36pvB5bbD2q0fg8/BrmveQCjbycqa+9R2kuPbKmWj1Tmss9iwGhvIL5D738AHQ9lNoJvdkR1TyCgLK8AwcNvtPQuz15n8Q9r+JAuxSMfL1vLtU8ui7rvXHPn7xzmR++22WSvQVtpj2MCv48lVrbu8LGjb3dkyA+UlLcvbUmibzqTQW+H7M+PXOoij3GviE9IHu8upx09b1m6+o9DOMUPK+1FD7ul9A4ieD9O1x/qTw8MMS86gE0vSLOfL0krG49xAj1vOmFnj1O7uy9D0E6PQ/G8TwtfpK9CVmjvWQ7qr0jo1E+BWwqPb8zLz74Ojq8bw2TPSG5LT7joNs8yFWFPTQy0ThtGXY9pRmOPbz2BDqlD1m9/Z8tPfRfxD0+GnO802kFvVP/Ob2vKiE7KN7EM 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 zvo9E47NPWoFeD1Q1+K7ag/KvRk4173WXLW9zQuEvZwMhzz0Hgo9OfyUPQRJPD0sroC9AwJDOsKTj71FVfa9WZ19vZ+sjj1JPLg9LVkGPquWdjxPjnM98GvLvagjdLw5LBK+DN/fvWKv/z3+azc+SrgwPhxjCD0Vnng9VFsFvvZHt70ecym+yIEWvtRPgzygzdw9GCBEPh/kVD3kEXk9jP1Xu9d3wr2z8Re+E7sPvk+gqD1444g9THUVPnzvQj2nlcI9/vrIvA72Rb0PdPa9xdctvSQwcz2rLm4+FjlJPqRAOzy1k+I8pw7pvR5YBr5Mwwa+Uxqrvf5ZYz0eJCs+zdroPYCtFr0aAJM87ekyvZBLx7zQhau9LJjevfuNaD0FQUU998WaPUfD6DxAFHg9WilMve8o3rzQH3K9/SdQvSGSkT2uCjY+qC8kPluQXbz1X6E9qraKveRBnL1epQO+DbLTvWpo1Dt8DoE9FnUAPtWoyjxiC1e8Ryr4u3bLWb2mepG9XbYJM 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 vQVAzjzj5uu73tYDvbfrdL3gJgm9WW4yO+66ur1rTua9FS+UPDln/LvGrxM9OLJbPcmerrywH6w7c8YZPUEFoz1rLb68hULKPK4g0r3Cv18+Vt+SOzPCrL3PxAa6ZaWAPUtIlj0byic9zC1YvVo4Ub18UDI9d/mwPSHS3jzkdWE9CkRAPV0OpL23IQI9jhtMPUHYVr1rbPg9EDUKPgxOMjz8eOc9RDUWPlA8vD071Ik9gHOHPY8lKL4/D3o+QeIXPk7f9DpWW8k8O8f+ugFzBz7flQQ9a7VHPa4mNL0f5KM9jLhEPnOM9zrd4mS90FWqPamFo7ykE8U8MDOMPD4xcr1bkQU83KIsPqBh9LyW0YY9ZTDRPWr17j36zxm9wlF3vSoMrb3F62A9/FwSPv8iWDxR14i8aruFPfzzBT61ah69ync0vfgsd73HW7i99othPrTC17uE7YO9lR1IPSvOYD2/0dm9/mDHO2Z2B723Lvy9gqwWPvHXcDyKdA48CpXhPayC8z3GM 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 PK9ReL0OxPA93PgkPR6e5D34joG9yDwovfVRCL3q2KO8BYplPF4iFL6Z5Bs+12xhPNfReT1I9zu9fl0CvrdQgL1k1wA93tVkPRKhIr2fJSU9Jjj3Pbc/Mj0hh228JPvtveZjpj0+XAc+Lh2mPcpPdLu2ltk9wGJLPT2mjD0IN6O98u1DvdiNDT02GKQ9ke4bPWiPmr0151k9+/83PYMBjTy06Aq8CNxvvarmAz2O6RK9mLvQu21Wtj0VSue9ThBOvd+C2Tz/c5k8oSSquyDt7D1zSOk4uiSyvN0/RD4Y40W+QFuDO1bAMz3KnsO8BLJHvdvPjz10QQQ9ztY0PMah+D2hpUm+3DwYvd5Pg7wen+S8rNQdPf4cpTwY7Dq9jLpsPNapLT29c4G9LK07Pdbvuz3SYaG9smSQPXanHrznXuE8zVSXPeh7FLyZDiC+ZjxbPUHsQj1oI6S8Rn6nve+wDDwTaZg98ZS9PUlZt7qdHSW+E5ndPcdtxz32QRW9NT5bPAEiPL2GM 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 PTtrR73cy4A7bTSCvuvNbr23vYQ9S7clvtRTljxnMVq+KNK2PeWdAr70kGa+MC+QvnxuTrxwciQ+tGwyvucgzD0pGBi+7rMTPs2PY75ljri9R6UlvtZKdb2JSuo9ElsMvvOq1T2bwwa9AaW4vJZdBz7+wf2859OAvnaWnz4BNQO/TrcIPce3RbzcVBO+WBY+PboxWT0NmBG+k4VtvoECTD5xXri+T4gQPRpgDj3kUTm9YiNNPVwItb19DMq9d6YSvhr2KD7jRlW+nJGhvamBWj0gE9Y96F8bvYJdDj4Md009qOC6uy4Rdr0tccw95cqzPR0qjj2TEtW91351vWZyAj4UYBI+v+OJPZ6bpb2I0k8+1zuzPeBt6rry3vO9TTGqvZomXj3koYU9yMEBPr6F+7yXDxs+PtVTO0B9Qr3N/T48iSBVveSc/T0Rtc89qIVUPULKFT4P7YC9yA4hvQn/KDxMvTC9/neMPMlePz7R1rU9/VUlPY2RAD6q/f+97S1XPbe4JTthM 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 3qA91fTrPPFc1L0qTnW9y+ZGPM9lM72XuOm7zJWzPc5QDD6ENww+60LauwHnPr2Hvq+6qmERPQ9IfDxQQwS+6WkZPpJwGz7UsgE+5aOIvti0Nj6cdsQ9b+pzPm9gNT4Sf5S+TEGCPAUgS77dLAI+1bDZvlA9Mz5d75Y+tQK7Prjkoj4y342+NvpoPO7IjL5FEZg9M32Pvup9bT5yRU8+q1N7PvmyjT4EN86+ItPIPdLeg74w6ek9tMlFPOAVyb2kUam8DVYvvQgUNr6OaA8+mxGhPS1H8j1Cosw9vuwEvRt0dr36SBs8ltakPa57j7zQj7Y9P/9JPSDlJj0MNom84n2jveyphj0Pqu89yL8SPrGKuLrDwcu9GnghPjwMfLwT1YQ8DyRaPq5aQr4jbPi9TbBAvp43Yr7rW3w+I5d3u0+6Uz7NvDq9BNZYPlHMRL7ORGm+cHpzvhmLDr6wmKA+5E6PvUunZT7SQva9YU8wPjcxJ77srdq9BsLlvWBaHb4KHqo+7GlpM 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 vxG+3s+TPjYyf76qwJi+TRTBvh4+6L1vjBa9T3clvTkQuD6niM88RMXDPjYX0r5RdfC+3jTbvtY15707vZi9vp5lPaoq/j7Q3rI925qaPtMcp74cMLm+nvavvhgmHr7wgpS8FQ4IPt+Fvz510uY9dPW3vWSdIj69XKE9TMBrO7hLmz6uzbi+QJxFvkkuhb5/Zh2+RVv5PQVCib2g5zS+nDlYvsgzRT5J5KO+sAxZvcF9Z701m5+91TPNPXcCHr0MYKG9Z4+6vVfXtz2VeZW+R/Dhu7CVDr16umu8MmDwPe2/h73ypLm9ZJV7vFvzI763BRC84wd9Psj3KD4puiU+seIXPTiTgr0T1Rq929uDPbtOCb6aXEA9xSClPk8YrD1K4WA+xDPtvTfXPr07ZjU7Jbo7PenlM759G6697xZSPh0ZEj1VjyI+8WR+vjARKT7jQ4I9Fz3SPa31rD2j7Ty+1TgavgYBS77OtVo99pAxvhv3Vz4Rzx8+ztKrPZA5Sj7FH3W+A3mAM 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 uJM81q4OvXoEtjsH4Ps8LnKaOzQcsbyl+Zw990k7vcFiPz113G+8mFO0POsyAb0W3tu7/vMrvQctvT1bJrW8/DN4OxRT5zz1nhE9WwScvdckmr25fgK89lu4u3Hlm7yD13C8395Gvbl7tjs3Eto8zPbgu5YyijwrrBQ7OVcHPpn9rL1XVfu7pmHfO/t6w7zSXYI7lCiCuuFXybwArt09deWfPEd+ND3QgxW9GvNhvfJdYL1eyR89XRlGPLjbaDzKYZs86qnHPUJgYr3E7Oy9ms9Gvf0Lqr2JQcm8AHM/Pr3lvz1HVog9opqFPiGwPL4jd2i9IhwFvWNrN77v1Y+9Tq2LPmDBQD6z928+BrcQPWacEb4g6pm9j1QlvcGoqr3JwIq7ZmYtPsG8pT2O1Qo+i9KiPYz1RLtCQ7C9RD+CvYk3y727vkc9ClvUPdxcGT6k20A8Lz4JPcQexrv249q9FS4avoo7ljqhzgM7bPGKPJU3Fj16XGm9A7CRO58EwT1E1/s7h7OPM 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 KEg+JvVmvS8SGL26odK90B6MvcaIoz3Z4BY+svf2PQvSULwDejE+Z6KUvb9eBL4yNrO94eGHvanL7T1CEOk9hLo5PuLKgr0YYQs+EAuKvSxVd77NpES97WPiu2w9bD7KPIg9sD4qPVqyETwV4EE9MNalvW9Fwr35Ecm9f4p1vfHTnz4AFtk9ng71O7lp+z03Q3y9ei1vvtiZSb5D+Rm+7h/PPOFrhT0+YYE9/2jpPKgcTb1Y/lk9EYtxvdsa8L0K2Tu8RjdRvH0IHD3LaPC8FhpEvpxbFz5RHsm+br7BPczHGD09WSk9eYjqPUXSwj1Wtr+8yauLvky/DT4a3sK+cYrqPf0TlD2HQW69Gx/6PVTn/70kaaS98NRhvvBo9DxOz4K+s905PhjxIz068to9YVpWvhEshb4+Qhw+NLINPtBYlL0UPNI8+HmgvV0XsLxRmEq+9rEXO7JkY74DjbG9bpDrvSwC4L3tHSE+cCWiPKv5Vz5rmPe9Fhn3vRuBBb57lKE8TukSM 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 vWabbz6vXvW9euh/vXL8Bb7ZHBO+H8crPSXJnD1IGIq9H7OcvVhocT5GYhC+35MAvm6d0r1+aoe9jntJvNi4Hj6hsdI8WEAkvaKA1j3eKPm9EefFvXCItb3KE8y9zR7jvd9V+D1yECo9KdtWPXbgtD0DFY69Npx8vUdIDb7Up429LGglPdPHqj3a9EQ8QQYIPFGuoj1i0xs9SgOIvUqDh7yFP827skSePV9EqLqMC1K9Q7PgvXThkb25Joi97xExPqNFED51yf89U9/Luy9cOb0Rt3m9WhngvOG+H7w7nJ286gNHPnh4Ej1nTus9y8U2PaZwN71MT1G8VndYPV/iRL0kTLK8brWjPUPHqzy3VCI+IttJPenXqr1Cnvq9xhKBvEF6f7zwWia7ePi1PUREFD4WeNc9mhm/PVuGzr0hwga9SjDZvJ2QHTxi4D69mFL1PYPUOj04vwY+jMorPZ2bfrwfrca9kKBTPaa5UD3qjau9GILNPWzCVDztrBY9KHybvSEbv717M 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 CnI9QU8VPicDvD1sHVw9vGPgvbXJsb3QjTC8kAW3O3QdCr0G9PY8Dm8vPTPY8Dwglzs96L5ROwFIn7yYPS28QW2VvfZLtT1TmBk+rJQ8PHDVDT7wprY76kGCvi59Yb7SIba9oLJBvl+jFj4nZNw98oVmPOMpyj1VXj28y/CIvpnqeb6nR1690DXuu1Nykz0tyq08hL9vvXM5Oj6K48y8beEgvoPg2L0uOio9pQj+PKzZH72CDPc87/uBvb58V7ytrFY+2kQAvrLBFD2lfHE9vQjJPWkzZj1Cqu+8AdggvtG7jjz/SV891MUAvvT1W71eByQ+L/LaPdQ3Sj2B1dO8YhdMvpaygz1iXIQ9lzDMvdelzb0vrT8+CFvEPRLQhL0feZ68wNVtPPJdq730nkE+Bpa5uz9gaj3XFSQ+0BNuPY4G57yVjHS9H406veB1/L2vGA4+euaGuwettbsfAk8+briDPdijfLwxP8S9zqs9vZhbKTyXkc89IB+QvQdVRb3fQ0Y+5/hAM 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 vZSoQr7lroS9/1wYvbhF0z2pNMQ9zSlLPWjTLz4rY1q9ul6vvd0jH76s6t29CHvdvNoBrj0cLGM8CIq5vU528T3jQyW9v7ECvn5N5b0+uQq9De1FvXSBpj1eRim9+TQqvcxYBj5ZTki+UHBLvAA4lb2rOQG9b8lqvVpmtT1l3nw8hxlZuwULjD3w06O9C6qxPFqqMr2penY7xyokPc4KoT2YzfC8el7EOtiPFD0fK8S9JFZ/PSXtqzsyfkY9XmiUPTVc872NK8C8gFfBvORgCrt6hSi+U4H+PeW0pD0OplI9A16xPMskhr0tcBy9SHluvBhUbD3kdg++9r/1PRHNYDzuT+E9wnjmPW1Jnr2rg4y8M443vfPrNz0+Lyu+KT9lPaalWj1Kv+k9KcaSvYoepTzTZbU9OITVPfrd8DxZRMw9cV2hvVExub3J2QC+RD6gvZ/OQ7v19BQ+E409PpO+tDvKdAI+QAgHvoxjGr7g0xq+6sINvkgcHz0m+hU+soFcPhSOTj36M 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 u76m4TyhXT8+vSAUPB2mHrwuCmG7kazuPFybOb1ZauI9e+PBPSvEwT0ijkY+VHFFPRnCdbs/W1A8wDkKu5T1jDykHSC9aknKPa9cwjxl8T0+gpS1u2AwPjuQRZu9FJoPvanCOT3/Fey83rojPa2IYTyL3mg+1uoDPYzbrbzJCsK8g5RiPR5RK71jGUC8cMvVvDMsMD22KYq8QX16PeALgL0/Ly69NjoEvathjrvJOFi8U7JfvQ2TQD0eHS29En52u4AUU7yjLQ+9sj+vveYlX7pmQoU8Y+82vUBMmzxbBW+90OvqPFJAp7zWRAm8g/QAvYPmkL34sfc9Hp1Svc4TmD0EGk69rRuiPa1iR70iHOK8SwPOva+lXr30hiw+OACEvDLrgj2dbji9TJcJPWXHxb0G5si93euIvaqn3b0omB0+AZtzPejNIT5j8yA9fKs2PfShiz0EY3u9/tbBPG3n/bsBLWg9wa+kvXcjaD1Eur28ib/LPXRYJr0iX/g77CmfvPcz+ry+M 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 PnFAMT3vqC89Ay3QPGTQ6L1hghI+yfMPPtxAHrwfSBK+OPFTPgAOhj2KDAM9tYYSvdc4urzi+sE97XyUPSHjbT2NGwy+e8HkPRnU8L04s3A9nqWgPV3sC77LlhE9jYwaPR+qlb1W7z6+c6dOPk9++z2vwRY+GyFDuoQIBb4RVZI9Ovq+PVFbKb3o4Ia+OxdiPghKED7mtk09dOkZPS+Vib1JcQy7OneBPFCP4DuU7Gi+/tUdPhOVGz3aIBg9o5EXPawLBr6DxRm9i9Hpu77ctz2YDPa9e5YaPuc5zT0hnSY+KFt/PXSm2L0A/fk8zaaKPdWrmTwn3W6+dr4+PvRX1T2fLeY96oqfOeI9Wb3IL3o8aFNpPaRqQD3xnmu+tlU2Pg/NPj0pkyY+L9mEPNrH5b1IZUk6atakPJSoAD76Oia+Fe8/PkTt4z03OFg+kzmOvWBmyL107Z892qisPUO7r7x8VAC+KIkoPnhOuDzLtAs+IndpPGJJsr1fNTQ98fXZPRVOpD2SM 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 dBS+NJPJPVEWGr0BPyA9yHK7vSlXn71YaY093c9gPTdsGz1WD3+9cQMAPainpLxBcIY9g6yZvYJOMz22ODk94NUzu/igUT4zhga+mSUdPRFdoLxKKQM9lZYXvQ4QobwBEyE+BTAXPpdBOD12qc+9WMCnPfqpNrt0o7W9tFWNvZguEb1XbYc9cZt8PYt5/jmBEDe9Itm6PQkkHL0airI7TQkrPPiGsb1XjiA9kFy+PRz94T1i9sS9BNOMPbneiDwcBL27IXfqvXONn72lRAs+H8JCPicnRr2OCAy+RhMJPpgqp70B6qq9qXqhOzJno72zIVg9KkBgPfXle7yNmHu9A6kGPoblazqPh2s9WSCZvRXqjTynrYw9gLEtPuoRmD1ktUW+m6AsPXFvWrxJ5cC9JxYEvu8dW70KvGE+wbCHPu3LFb0ekOC9lloOPsqflr1fjQS+b5xpvbqvR72uZOA8vxQJPhrOnLw4S5m8S6/UPcWuKr12K/M7jAamvPV/frzgzZw9gjlCM 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 PfeJLDwOriu9W7Pquxxjg7o0js081UeEPU63gjyY7k4+lYIgvLscTD3XTWm9a3CvvU7qQT1xILY9iiFCPWOHC70o6Dk+X3LkvKfqVT3IrYu82imEPM50tT08DLG6V34OPQVD97yOC9Y9DP26PRmmaL0NSpC9aR+/vDT+i71zhe88MK/cPb8qNLzGbQw+Q5T/utOIYzy/oNm98i8dvanbI73+yds9qNwlPVw6Njw+FjE+wLr1vJMhmzz99Ag9BqvdPAuddz2qEwc9UifJPLiy4LzYWGE9Ne59PUHHAb2u/I08lhCwvW4fArsF6gW8Wwa5PdWqxDwb8zo+2AkivcTY+DwhrIi9PwCdvUtRML15vME9Fd7GPLjfk7ygbhI+zwuBPeDoj7zcQze9XghRPQUpybx+2NA8Up0pPWg0tTwbJA0+BYoxPYS6Pb10Amy8p+o4PEokqL3OcZC7skHRPd7QAz1MepM+AtP3PErEXj2LPZu9lXZZvQ6Znbx0Tx49c10zPXB4Rr1LM 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 vXRR8j1PbF29iKkCvsAihrzJKK+9v1plvRCn/jz127i8fgWMO5ryP7xj5Ak+JLoGvcFweb1OrnO9mwLsO6WxAL0Q8m28cSB+vTnwmj1tCx09ox+QvW1IPj0+CeI6bGdVPTww8jxGLe68+AMCvor0Kj4wmd28laDQvXKXvjw86K67dE+mvWkzHT5ii3K88qokPca4Az5VE/E8/IABvrKFA75IGkC8UdSKPAaP7zzWdA29r9pAvV+OrT1Txf27tu6LvH4OZry/bte8FIw3vcFGuT0+42O90YtpvT2uRz6D6d69542OvXmBPzzLAfq8hGgVvrcs+z3WHqo9w1q7PAY8Cj7XOSm9QUI1vmmQNL5869O9hwYYvHJLwT1Jr+s8gT+8vIKj9D2URES94wF1vcqp/707jc69w+LJu4qu4D1n8o29FK8kvRfEMj6jlia+sRoZvqnhS73CYca9KYCZvf44Qj4qE689jAX7O3oGRT56NxQ7ln8WvjwvJL6L9eq9wnJovFPCuz11M 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 Lug7MEkkPeErbD3ftcK9swnqvT480j1gKTe98PjduDM2FL0CAhu9hEYSPlHkBD0LcsO9a0/hvS0nO71gGmo9aANGPrQ74z3gVgw+Vs0uPhS4vL1w0le+5BdKvtVX3L3NqlC8HTtFPpdfAT6E+iM+0MwqPRFvULyXpTO+HQjBvdjLAr3eG5Q9d71vPcA4lj0766E9IplCPVEuMz2Fj7K8Gsy1vdVBvrwmJ2w9uLoePvh8lz3fa+k9rB8SPpyEvb1vPhy+Tl0evrWkj73auHw9c4R9Pk0n0D1OPWA+TDwWvXfn+bzTvyO+EhyLvDLzB72SUYE9r1dmPfrIfT01SkE9KRtjPXqJyDs3HTm8wIaBPO5nnToyckQ96LH5PagSk7tDrJ49KdATPmGoYL0nULe9D4uyvegu07zfDaQ9so0BPnUthz17LiY+0doRPRE29LwtEbK9Mi4lvSwpxL1ZvDc+m+XCPQCv1TsBOQE+MNYKPdTnYjwRMUm9cSu7vKnrer1YrG89+7DAM 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 PWGLV7wNZOy9aGeyvUdiqz2D2f88I0lYvepOJj1Sf6a6+dpXvMJKgz1Plt297RmmvRPi8zxFjSw+1Ng+PAUOYj0Kgk09va8bPnDNMTyPBZa9/5zXvevg07zKjqo9nu9DPddXqD0sHAA+bhR7u9MaXD1qjd+9GhASvnpfrj2YRo495Oyavf+CnT1cCVY9v3qgPWWprD2Y/q29OdfcvR0xLzwY4jk+I7Y8PNapMb0S2768YdG5PY6YVT1Pahm+KdG+vdfkbTxwbAI+8t61vOG0ED4o7Gc9E10cPTc92T0Q3wi+fcixvT0SDD5heXo9OjFuvdBJdDyrziS8b0yDPSRS7jyqW969dqGZvWr9kbzynhU+bFXGPIs0Zj30G4+8JL84PsMOPLzuKiq+Now/vtFl6DwEikM9DIe3vNKyGD4vEJC8cnmSPWVS2z1CyRi+i5ICvmmICT72B/88s/K0vcua6D3flyG9+9aMPetfND1tgee9CnikvZ2JTT2ACso96KQcPBR9xbwmM 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 kBa80Mn4O0zOwTxZsDQ8SevAPbz3Oj32mge888xTvV/ziz17e0a9PitfvJlojzxIsqg9O4xUvUWhs73hG7e9RsHTvGnXxLvknbq8T8ZAO5B/2rztLyE8BKQNPQ6+kj11qam8mp0/PWbsnzybtWi9fADpvb6fNz05euC9Snj+PF/skbxurKY8Jh2CvT9vmD0hcTe9xH5ZvZV1Az6giOS9DHakPJshpL171em8nSH7OyfSyj2KS4K9IWUOvVmw9D1LotW9i+wmvTzPIzzpKM08PpsTPUr/o7sjZc6950MvvmTa4D3YSXG+CNymPCyQgr2dMYs9wU36PEnYtj2YLLO9IYTSvQahVT5nlWG+eElTvEmsu7x4hec8OBAyPW7cKjmJK0K9ZgYivU5KYT1svRW9YWSxPXKKOD16JWY959oePnHvYL084Oi963qnvYIC+zykeiq+d/m+PRel6D3LBgw+u6mGPT5OAD28k0G9qn+4vc4Pnj3oAUG9ndYOPSOeez3hQ7E9DveZM 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 P4X8B8B5zFS+wIvcv99Llj/TwD8/U8+kvxsM1D+wzgvApjuePyXPFsBgXjFAUb2qvpxfWD+8Tee+4DgmP8sfI78xxjPAIUGmP/fHCkAxsco/5KPTv2SoLj5plPu/dRYJQPNQjT7yVqE+nxOLP1R+KsByg4g/FS6FvlXZ3D6bdgc/wOY5PmGxqT4NFsG/lnpsvzonQ0AXSTq/g6skP2MxMj87l3rAs9CIP9lMwD+XP13AjYylPoz33T9UDdA/kEzzPyoX2L9FCXnAJTg6wEws2z//MPs/UjaRP29TfL6SXb2+WLcyP4vd5r0=", "training_traits": {"structure_gen": "Triangle", "n_layers": 3, "max_nodes": 9, "activation_func": "Sigmoid", "epoch_num": 11}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50M ,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){cM onst t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,M this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.iM nputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,tM ,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoinM ts(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=randM om(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){M const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.M x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(crM ("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.beziM erVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierM Vertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(42M 4.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278M ,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3M ,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezieM rVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVM ertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.M 9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.M 9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.M 099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),M e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,M 125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799M ,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.M 099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.beziM erVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2M ,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,30M 6,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,M 158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),M e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.beziM erVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,35M 7.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.M 8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(M 371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,24M 2.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599)M ,e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799M ,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,13M 3.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99M ,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.M 799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(38M 1.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.5M 99,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799M ,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799M ,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endM Shape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;M o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[]M ;let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linearM );static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__appM ly_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flatM ()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+eM );const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}geM tTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(M t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{mM odel:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};varM e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.oM ffsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.eM lt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.gM etComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClickM ed(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}fuM nction Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}fM unction ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.M length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=M e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.tM ype)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="129";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,GM e,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGM raphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visM ual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9"M ,"#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72M 020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&M &(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=GM t,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millM is())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCuM rrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(M 500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50M *le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growtM h,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern)M )+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e]M .length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.pM ush([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wM t.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floorM (De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.neM xtStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);fM or(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].lengtM h&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(M 1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.strM oke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,heightM -ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*M le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1M ],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.veM rtex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(wM idth/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,heighM t/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=M 75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+1M 15*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an)M .toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],fM ="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "M +h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&M &(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+hM eight-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${MatM h.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.tM extFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&KeM .text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,heigM ht/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=M n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouM seX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCM anvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;leM t e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reacheM s the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the eM nd to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qnM ();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["M Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pM attern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleraM tion,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b481c89bd69a22c","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigi(n="anonymous"></script> text/plain;charset=utf-8 text/plain;charset=utf-8 @{"p":"brc-20","op":"deploy","tick":" ","max":"100","lim":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 {"p": "brc-20", "op": "transfer", "tick": "$OG$", "amt": "1000", "to": "bc1putv4a32xyjmtz9mmztu9lrtqack9uqrm0m5d5x28j0wkhp88hguqcc9z4z"}h! text/plain;charset=utf-8 LUEntre los individuos, como entre las Naciones, el respeto al derecho ajeno es la paz.h! text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 "name": "xxmm.sats" text/plain;charset=utf-8 text/plain;charset=utf-8 text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_303", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 6, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 3, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "napkvT0U07sVQuiM 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 8kD30lFc9GX9hvQn63TyACA46OmQePfmaKrwe7Oo6afmPvTtSBjue8PC8je31vOg+aD0JsMy5A2dXu0vRHb0cPd07x6Y0Pc9qFT069zQ95lk9vfTwDL0wTZa65KYpPSr2ub2gdzo8eijVvQEqLzxZIAk9REkSvXmlwz39z2I9YCnWPMRYaDzdaNa7mfL/POPxrjyW/5C88oOhvE2wXj3Ytbm8f8DROyoqs73MpkE93bAIvQYG37yQEcE8Q5n1u7XPvj3a9vq8f+AQvQnIN7xRM8S8/NFQvUQisDwYdZS86++cvIhqF71GMTO9Tt06vUFMAr6/Hhe9EdIKvH7wnzv13OO7iiOFvQWGAT0q1Iu7duANvTs9qTxKWnI8IhSAPJYQSTzue9+8XU2XvZMX7DwywxM9t222vA+hAr4vIGk8Z86AvU1ZCT0Xhvo8Nhm8vCp/mz0lNIA8NVddPUJDOD1FDQG8aTRfPfpMGD0GjI09YzjVvY12xTu28Jc81F/DvOpuOr4xMsiM 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 u6DwO2g492tLzvGr5zz0dBTW9pLRsPQXj8DvHHAw9Pfzxve2XDT3UDVO630JDPXzfCr437oq8nPv9vXVVoz2X/Fm7qRITPcKlVj36z4w8FPmlvI4KkT2Q9+46LRCZPEzUiLwnxbq8sr75vTpyvTyVBoo88MTlPKpK6L0OgFi8veRSvcKrgT32wo88FvndPPKiADz39xK9bdXpOyO3az3KcWW9UXSpvLkyUT3JFFQ9agcUvd1pFbwjMtO8VTLrPALAxr0mEzm8mE//vZdinT2dA1+9RNxauwIOjT1Uhik9eoOEPIeV7rsdWBm9NzAcPRZ8PD3wT/u7XloHvW8sHj3Nxiu9kaAPPQNTEr4IOr68GVZnvN5hPT0Luhc9TXbBvL++Rz0k5va85G6UPf+i6rzb+pk8Otx2vbvOF73vCA27RZZnPRk7hzyXwpk8zL7zvGjQtL051/s7S5o1PRlctLtwR8O8nNATvY5hiDzNSoW9RXcxPMTDSbyNqvk67J2pvPfVsj3ookiM 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 9gxthPdcaJj0umOS8fVknvN9hgz3uelC9U2/qPPmriz1dyjk9sP4avbz/8btok9m8YDmTvE9fOD22FGq9h8t4PQmN/b0hgPg8nRJmvUw0+TzJJCM91TflvPJrSj3f0iQ9inyWO+Hwbz1SMWa9qPCavH7u7Dxpqj49UpSZvXnAUz2pbEK8RgYBPQT6673eLeG8ntKJvWrkOD1DT/c8we7tu0dWQz2Y1R28FmmQvT6m5T2+k908YAd7PfRYhjz3cR49z8CKvW6TTz2uSSU8KSh1Pd/pO77Mrp88nBlWvU/ERz3284e9D+cPO0OugTyeKki96eeevCCU4z2fS188qzBjPCDO7rzf31Y8MEbJvSmIdz0cels8DvTfPC8Jyr3ieHg8XdaCvcsUuj2WGqS8EB9EvSTS8rvAVPg8KbWQPPccMz20Z8G8mZWuO0Hlzju3/rc8yhS6PPok3TvzWV68EDQ/O5i4PL6RDxU9BAnzvF/8vT1fyuw8NWSzPPuHn7w9zcw6vWgyvTMM 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 8iNYbvkztGr2y7hi9p4IbverK0j1TXB897xJVvsSy771bzwS+8szuuoSMpT0FjE28ZXb1vXHaq73Ykz29x/SfvS8otT3WWwm8+/IivRaoPzy3XRo9JLLlPLRlFrutLJc9PUsNvdqGkL1QlmC7feFevdm/Jrzs8wc9gMOpvQD2C734LbU974OavQ2InD2rCgu9b56GPYqtN71hrjI9fK1cvfF3aj1+hqw9b4iZPWdn5b0m7Ay9XWGtPM/dMru87Hc9tedtvK1Hor0xu9Y8j+SLO99KLD25HKo9m9CAPVfxB72eXea8PpDkvbChEj2Z3zU9Y9SZPJ855LwwL5a8V9nxvVPl0L2tbjA9blR+u9ZQFTzyUQM8IREOvQiMVj23BZI9xuWNve0mGr40YQO8n4hLvcXOpj3Fs588whAIvrYu5b1Fh2Q8U8Q2PJWeR713wwc9WgPdvUwhOb3f66y8rQKJPGgyCD6ut6U8Mh6dvfkBSr2aNVe8DkAAuk1h0TwCRLI8Xa3qvA+M 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 +hIE7vvAYzj3GAuW9Gt29vWp1mz2PMJW+SzSqvRe45LvnI+o8RxnHvcCPDD6ZCwO+TRwyvnMuDD3e2Km85Q6SvZcDKT692oC+rJwRvolQID4xqia8rMnuvRELxTyfAX2+yzgTvv3yxr1aRP09Kw2LvRp+sz1np969LE1xvj8zgb13nSU9VfH8vS5XJz5CIg++T8KjvS3zYj2V4z49lf7VvSpHgz1+zcK955qmvQb0ab6rtxQ+bPZXvBdW7z22x4e9/8YxvqZ3Xr4SZ9s9l0sFvdhwIz5WXsu8gUyvvVc5R7oXpVE9+ytTPGDHIT3v16g9ibiPPZtzTb7kugQ+aQ8jPZehITzjmjg9ZQgdPXjrB76b+o49rVVpPeruDz7ZM709pPZOvIcFDL7gIOA7ba9cPRsiHrxxyhQ+TqOnPU+fpLwHMKC8ue8rPetuj73f7NU9bIPiPQpbe72u6gi8KztKPYFvlT3qQT8+++khPfGEDr0yP+a8XnhvPVA0BL3WPgA+OKMrPkjM 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 8rAgOvopIbbyIHh+7xMH9PRMAGr4Pz2+9T4eSPXJOnL2gvyQ+XqslPQ1aPL4PHm+9A4haPS1tfbwoV8w966/+ulstEb4E8H29ElGUPdveEj3Y4cI98VIkPmWkiL4nQcw8ADqGPvUvHz3hDpA+l5tyPurOjr5Xbq083NFbPm/BQr03338+vLRGPu3Omb5pbH68Mb3LPeJ+bj2bcms+C5crPnOnSL59Myg+Uu88PrpQuz3l14Y+ujOHPlCXS75J15U+AU3kPSc4VT3PDGU+Zz85PpA2mL5V0VI+KcIyvQxffj1UOCg9H2PmPT4Uor3kjBA+GqlVPf7CeTsoG9M9Sqw7Psf7Db5iJEg+aEIWvWUpBb355EE96+1qPtHd+L0rdRY+CY2lvfpK5Dyt2M+9sDWdPEERmj2BBy85EQJIPWAFI7XDT6e9PygeveAUmD0WQ9090zlXvJ50Yr1GNMa7EX8UPfUGrz0rG9g8wQmbvews8Lv4Fqi9YDjCu2Lhvj0T2k68eYhkvU/M 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 +yWnavNybhL1/RY09cZZuvdmciz1wW3k8rUaKvTa3Lb3wYQu84348vb0wer1JwIo9Bibdvf5GnT0eRqK9OOMIvUhlg7wnoDe9iouRvW1Uibx74Oy9yxCtvUa9Gb1zmRe+EBQAPa+NQz377Mq8SOpbvkRDubz6lyW+5lToPIVhQLsrdAO+EvMvvsNYG73yqP29mOumuDXunz0f8cq9Aa6DPfH6V73YMjC6qCwyPYuvjLxIkuG6W314vHjQXr2R9Je6zRElvYopAr4E7uu8XJaevDglCrzUnTi9bxqkO06lBL1c+QS8NEO0PblIbb3TcBm767KKvJy6pDz8vhE9npBCvfNWGz0JeKW8T5MTPVZlDr0qR4w9eSbSPNdEgj3/cPY8mnQ+O8OdlLyBt+Q9c01UPeYl47z9cXC9MZhRvexw8jz1Rao8tkUmveenK72QoBm94+zUuzoBNL2ku/M9j9JRvfVRrTxPxyK9C2xUuxrpjD11Rtc9PrzwPBE+4byHI6a9z7UBuyMM 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 MfL2pnKS9+koave/2LD6VjtS9jv3hvWfhB76Uene9cnhRvTKewT0tkkw9e+i7vft9Y73/8rq9hKYTPPGhLTzuMsE9AJTzvarw9bxpMmK7AXAPvjg6DD6ejke+FdC1vdsygruBOFA98P4hviFb0j1iDSO+wsGTvS3y3z3IPyM9itD2vT97cj3NrpO839ADvpO1Uz5sTZY9QUQGvq4eqzuZN429TEbjvbApST4oYAk+pU0Vvs1hDj2Prd28aS/PvVj0hj5/+Oo8jurFveOjtbxru7I8jXbLvbPLgryvGYG9VRSavG/3xz3pEtg9qvYVvv1zPbxOP6C92TmUPSeqAj5AHzI+L24Yvpk7AD2NBsK9pohjPeoSKT6NcHI+oJePPpbgAL4jgV29ODSnPWGqZ729TtE9/ZJsPsSw170mCXq9BEqhPYA8rL3HjdM9K1wcPon657wwJA6+0tT7PUZOkzuoRcg9RNW3Pl3NH7yEjwM+fBysPdsYT7730l09VMW5PkCQnz36QI0M 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 8t/0HPMMOUT2kbri97q02uXrbhb3JfaM9cNtZvYTPcr0C+b87ljpGvZ+cFD2eQWI8CZljvAepwDyjM4u9La+IPeva+rxQGrc7BEhJPfhBG71VrqS9kxZZPRotCr7LsSE9i2MvPZZxubySBYs7Ks6HPK2rKz3a41C8bBJpPCwmQ716NDQ8dzwtPWOyrTzUGHk8QoizPGAyUL2D5C+9dv8jvUDpur0Xi9q6QWmxPK5TzbyE+b+7lCfQvA/MPrsPl8q8A1y+PFFadr0MCaw9xqHTve9Shzx6PwA9D1xEPDEsN75t7EQ9b5Ervlx2Eb1RQmU8rqesvHNdfb2fn748m6IGvtjJpT1fPR08US1avX+Zlj1Cny49tJ0+PStTUz00VXI7gQq7PQZsJr3wV749yMguPJe0W71LodW9cT76PUl20T3la/k96rsTPYbqNb37wPG8foervKcTkT2Fdis9+Cc5vF3Txrz48508mUXWPfzOeLzphwM+lbqTvEwzmLybxPK8R6gAPjqM 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 9VfHdPEnPuL0HLp077FtKPakzqz2Z+nc9+CSHPZjKyLzYhR695/O/PXHsobwTda09KeUZPXHdGr3Li+q66m+vPQFzBz6eevw9lH3EPLNoFr4Ji0S9y0lMvTVplz00MbA8g2YePSXmubuoKtY8neqOPQJTbzxjmec8Jsu7PWuVIrz8Ewg9pRPHPYEb1z3I3b8920O/PXnyvL3i9gE9AMKVu7FkEDwyFVi8ttbBPaJUy7xImPg80mVUveoBOj2hDYa7slN5PWNYP7zF4Yu9nB6SPEyu7Dx7bTg9px+ZPZZGP7z1RY481EQdPTJ8pbydMNs8sSO9vc4k+7x34iO+e6xyvE9Z4ryb3AW9ZfvRvaw5DT10YRK+u0d3O9gIc73urzI7CXYKvXJjPLzVd9m9HPoGPXBQ/7yUfK681VmhvPqdtL1r2Ia9jEw6PWKIsL3JgVi9gOnzO2uPnbvkGnG7YImfvSOsEr3lAqK9Gsm6vEo9S729xSw943YPvsmm4rxGu++9djmWPJRM 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 9C4opveGlLT3xTGI8RkmhPBlvB703n5K9h4BEvZN/+DxqmUk9SgSVPDO4Db2w9cC8ZYzavQqPab1Y3867Dk+/vEEEkjtVokm9Zn+JvZ24ir18EPY9Q6AiPSryg7sT6AW9ZeqYvbbZsrzQULE97DfKPJmGtj1uTf28jFB+PPWs0L0GDMY8fdsivbzssz3upsK7ORXePP1NXb0oatU9sxQQvbh3iLp/Vxa9N8YFvWmORL0bQLs93sC2PelsfD3PWQ29fL/VPZcu2L0vhH49PltIPkyGKj0ODqq9ykOmO41OE75YV2w9ZfsyPuglgj1EQ2S9+CmwPf+t27wIGLI9Xgn4PAzOErwU2Fe8VdLHPBWGZL3WC8Q73dW/PDjVyL3JTeI8Bmchvbku+r1kB808ws6hPVLIR73eJ428RJp+O54sgDx1YQc6YXPGPVp/Ib3QYms8HU7AvZ6exzxy6ZK8JHCkPHvHQr4s35c9T6MsvhJ667wg9ag8n0fFOtVZ9L0XZqA9wV35vf2M 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 9btRlvn+umz2FdyG9VbRkPlvEjL1aUZw+HE5tvjwJoj3hhe69grUPPhj4l7073yU+ASA2vmVFiz0f+hW+1eVjvbE6Mj1o9X89oIlwvHceKDz3ODw8wDq2PZe8QD0dV2Y++dk4vdAOmziDcbe9YezyPWf1O730cDI+ywBdvEkV+zxG4bO9hr+vOzVb67wOBbu8ZPrXvbKyHD1udOu9zHpouvaqhr0yWlc8VGEvvZoQZzxCB3S9+VbJPHHMlLyJoYu9nLl9vBsWLjyt9aq9Lcm2vWCdK71Mif69nEQXPVubej0Dj+29O+cKvv5TWTz2Iwq+UUERPl+BRD062Gy+nB7TveiSv72DMwC+yAx4PVXAZz1xdrO9h1mPPG7pZz1k85u94mS/PdNrNj08Uke+ecGrvZMFgTxmQpG82/3kPRJ0ybwu7mm+wwcNvfVtObw9q6+9pcsWPpUKjz1RMiq+zxwrvrLsn71Tic29WoU5PWiV1D2vDsK9amL/vU2ZsDutvhi+bBBDPOrM AUTzwYHK8Trv2vSEag71u4MC92jb9u/WJvz3rJka9w7LAPV8/pjtc7qY8WV8tviWBIz0CEfw79tW1PVKNZL3m6iC75QMdvi5T/zxhjUM9aFkuPawsAb2tDMY8bX5LvX+rzzwtFTg9KJkGPlG6lz3Nacm8L5JYvR3CE75x8Tk94Qe1POc6aT3zPJa9j56kuhh2871bprY9pWs8PXbvAjzUJZe9D+AUu53JND37GAs+4Rc6PajKHj7rKZK8kfqwPV4HCL75XL49B8ONPThP3j0KTjU81qvTPTnvtr1UWw0+jqPvPY84jj0KSd28tGGbPDhOxL3ez449CY27PfpJvD342Ti9EfGWPaxeZr2K6sw8SvUmPju3VL3fj/w7Nd5TO2tYob0FS4Y9LRf0PZ8O1jz3Te87naS4PTCdHLzApXg9sBSqPcxvfDu/dh69/ZqUPLI7FDwLzho9DBmYPXumAr5rUDw8MI8/vcBumr0RPJY9omqMPeid973F0T67+GwQuuhTvj0j5gOM 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 2LD22iWG97fXwPfCDTL1Tk5c9S5GpvUk4kryOyAa+XRASPshwRj1tVJI9pTLmvEZC17z9bSW+6cj9PB6Przx4vsg6zsa3vM05M72Tgou9dZ80PrkAxjzP5V48FAsYPQjGe72D6fW9verLPeVSWD1BynC8iAVjPX6En72KUeO9Z1V1vag/sL17p6K9rt2+vFaMtz2IToi91KkwvdLm27xaPa28AUqPvEDojD0ZRBi+rwNrvLyWN7pqiBO+Uf+TPCcQcj2VUWe9o2QlvlBHsr1RvwK+7THcvHmrLj4DcGu9Y3pKvnmQj73rFjG+BHy8Pcnv8z3wJzG9WxtJvjibEb2kaQq+7b+vPWbUAz4b+LK9qiojvGmbUL0BMAO+hCSwPV6MXbxCUxS+ve+HveZz8DuTer29DUlKPoGGOb3C1w++HvGDvfCCRb11uNO9HCrlPQPvdD1Ls7O9y6/RvYjit72eNcC933AJPhQ7wD1ZEEC9Fu0nvuGJQL3HHly9biwEPri5xj3WNG6M 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 5qD2Hq2Y+7uTOvbnGXj0L4ty9ojfuvBZac724d1o+I7ktvX4VuT2B1d29yYE7vBabgTut/5k+laljvVFeR70Ctsg6tkaOvWj3wTz8qHI+q4M+vfoGHz5+TaO90VWVu/9ESb3iWXA+vuMqvT75Iz5wfQe+hrc6PSAsgL04oc8+iH0fvV9tKD3p5QA9alxHvfR2lbwuP2M+OdaRPdP1Cj1AXIu9BawZvVQpvr25w/481WcYPnDaXz10cGg68SZbPaul472+Tv49w69APopGTT0zaR89hAjyOYlH3r0Cl9k7kob3PIjoxzytulm80QUVvSlzG72CwrK8l+4XPvTZ0D1U3+a7yH6nPWlQ5r3V0Ac9t6m2PfBJoj3Ld+a7Qev7PagM172ZqeM74l1cPMIed7xCm0S9BRgWPF4ujT0KtIO8rmjVPTiXPD0900I83V7UPR42jb2Wy/s8Rsw3PXusoz3VKZ27gzvdPV+zy71uC3g6FTe/vHkpZD0UeEC9ZtWaPEC9CDyvczkM 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 yhzzEvj87rCWAPWFVr7xdk5s9NKoCvORbK73qRPs8vW1VvUWquDuW1zW8aFPcvDmNuT181lo8ADCWPEtekL32row9MjMUPSNLrT3zl2o8oZOnPBS9CL1eQGI9jBtCvLSJuLsEtrc7K7cLvEy/wjwzLCk91/f7PM2AmLyqsSM9of8ZPScGDD2m/bw9TFywvF2LcT0piEa8vIhzPa+TuDyzfsc92qyPPSTph72NWc08sP4TPW8tGz5xvCk9S3rPPIaPI763UpI9V7BcPSJfDT4PiWU9jLwAPVR+gr32dbS7FK7GPX8eHz5iOso8DOxRu2pFs70D9dc9Zl9UPccZ8D1tchI+L50zvSOIgb2Bl9k7wQE9PaE+sT3v3Lk9HKGiO1v7sjxKkhK7r+mRuaVU+j1MB109DmwOvWFDpr39+H49jWlzujAQh7wAeGA7E99rvaKsNb2FFLS9Y4l+u/DaCL3wyVQ95niUvd5khj1Hap29S9MXPSGfbD0UAK09IvmmvWMJOb143Y+M 8FiglvXlXk73g6e69mitnPWu5u73ohNI9PXjjvVqcn7zfhhe+egipPFzwrTwAQwQ+tuPQvXLU27xKohW9KvOHPZuXZ7z5S809/+bsvdAYub0n2om9WopbPWTDlTzT4zk+GMXwvTorUT0WPPG9OTzlPXaPCz1FjFE+rvswvqyyibwKzwW9Y3N5PalJnD2L6mU+FLWMvXgFFbv6CSi8qBpiPTu0vL1wHRs+KjQkvrx0bz074jO9rCjwPRLJOL3p2ZE+zDGBvT6DBj1/EI+82bWGvJgRPj2IFno+Llh9vDrxKz7WHF+6pTSUPOdfAL6jckY+pmfdvbNxaT4WIua84I2/PRAdJ753hq8+wfYgvfvdXD1jAWw8hExGvZjiO7valQ4+IiLhve5jIj4lhB69s76HPfQkgb38SVA+U3yPvUQxjj6+P2a9VGsPPg3Bob0cyZs+qRf9vaevoD1qN4K9Xgf6u+tgir3mlxE+s4XsvYZy9T0436S9P8BLPf0NOL2PCBI+G1Q8vWLM 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 9EW6TPPsO+DzYxRg8/b64PXBHCrwD9AU9jTmWPaA1Fz1GE1s9f5hbvY10mDyc3oo8zdM2vSZzjDwNens9Dlk3PVdDT7wrbl89jtaWvUKqDr3M7Y67TGOVPR48ZDpJejQ9pnIFPC9nGT1HUJE8yRzIu2HTw7zMuVA91PwYvSi3EjztQXC73fw8PQkzqr1dNhQ8sOUdvZDegbz+VQm7LB4oPU7Jp7wm4Le7gE5xvfjotz1M0Yi7/cHMu6utvLzu7zE6QqfSPOVuCz27G+o7uvM+vAsMVL2IJVK8E9+lvScPlLxiRv+8NqqJuxf7Kb38O9k8uPn0uzDg/Lt7Rma8r2smvWcrbrzaNze8BlgRvfE19jya4go9AcfjvIFof70K96U8b2GrvQD95DxC6Ts8ShXQPKPssLzcK1890iGYvD94cD21Q449SkMvPRde8zw+ZDI9izYPO72s+jzg9O08XeabPcghUz1dErE9neuxvUevq73JZ9S7J8JwPbWSTz3Gwc48uWRyPLmM x2rvjUXM9XqNCvHEG4j321qY9J878OyWT1TuNtyw9XbZwPbYEgT0jkb49+TK2vSjafr08OcM99YjEPQb52z3GDos9pN+KPMgMxTxWuYg9bg3mvBlmjD34MkE9mChmPb+OrDwUhy09er+KvXW9jjwfzqW7CePWPcKmnbuj03m8ilIoPDISlj2b0rQ7y++cPYBjpL2dg7G8RvxfPUomHT21WUw9wil6PV1fYLskH+o8fg5MPcRTFz3iDro8ZMbhPTERGL1nZAg9IuUHPXhbgzwy+DQ83fCyPB7Agr1641s9+GniPJKsC7xDEpo92EI7PYaLCT3Gzpq8T0kGPSfQ+7xNsVY8j+EcPUrKSb25rlK8LZudPQzlhz085k682K9JO75zBrwMY0a9qNVgvEIzU71IxCY9Jz/iOw4SEbymoDW9LkuJvPrA+L0zcEg9auTAvE4ARL02deO9RRzIPL9mOL2HXyW8q0kFO7dlwT2Xjau9RWIFPaj7fr1z5Jg7uDDAPN5zlz3ngNeM 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 R5T0sDI49dRDNPI4DljseW789W9IRPbGofj2nYLY7lF5JPcvHab3WW4Y9pWixPX+mOj0Th3A8gxYvvC3eOr1FVnY7mX8gPlZ9sT316X89WhEhu9iJ2b22bmU9sxOSvPe1Lz7yDAQ9fVWsPZWlqjyzBmw8Y888PTEKjTumxHU9ddBCPUrgLz3U4cA9UD77PYrGoD11SFs9VbZsPdCP6bqhw6I9PUeDu9bGJD57mR29pnmqPO+qmT3J3Us9F1SGPGJMmj2AOTK83OaIPcbcyrxyIq09tfT/PUv6jT0BLPY8L20uPX9gMb1kwYE9Wl7WvBm/Lj6Ay4+8NZO+PRJrVT2DU7Q9hX8xvcWvCz3vRTe9DlmQPfkCtbwLRAU9e0tzPX+BmD0cc+W7xxIbO149izqFI5w9S7j+vCckfj1yUFm9II2QPFK7zDor8QM+YKjEvHazoz1Jj5m9GLN4PQ2lyrsBvao908IEPkgM2j32G3m7qbSkvGmrLTymlv09rrkgvAdMjj2I0n2M 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 9McK/PRkBH74M48Q8LlL8vbyY2Lx7LLu9mEj6PWIX972zoeA6jIArvJ+NwztwKCi9waplPQQP77y1KeS8JPhgvSuwTT20Myi9TaikPaNKDL7X87a7m7uFvZOoxLywjxi+TIgNPjkzw7w37JA9hlOmvX5Qtjw5GLe9bjORPNfiBL04RQQ9RNS5vOhMlD2S0uC9OMeKPRCnDL6Kk6M8b7eHva0ci72CnBy+rvrzPUdXyr0G5TU9NOdTvdI+SD1X21i9/mLlPEJ+T7xlDa06HdSevS14wDyH9AS+q+GWPDCzJ74H8vc8+rmsvVb20bzna/C9/6AEPj8QEbwkdqc9fKXtvPOoujwBW4y9LmR4vXYVN71+X2E9htUIvR9Oyj19Nya976yrPdGFDb4iaJA7rXHuvfxxdj0Xxq294MEdPrjcQr3y40g9dDz9uztnTz0IG4i8vm63u010D709ww69QeLGvSZ+1z20pnm9QM3mPP5FDL5rl9+8sD/Rvf6QJ7yHIwi9/ummPa6M 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 Kcb5APSG/hHaXu0VhWj9E4ts+Qpx0vLM0k75EoiS/wfAePDjuqzx6x0Q91CDaPfWwIz7A2409PphhP9eHYr6bUlg/YxTzvRoSP7+RpnC+NGe2vtRZhz8vMHC+MeYBPx7HHT9AAYQ/GEPevFuQPj+EHIu+qiiMPohYGj83k2m/1l2yvxPYN73pFtw9mX0lPmLS872GxMW+CgnWPhcQAr9Wmho/7yUyv5aEIz/RmT6/iuqFP/INDr+Ey5g/Ex7bvn4QkT6uTYK9t/IkPoei+T68s5Y/jNxUP093L7/OZKw/qc4MP8B0gL/L6sC+xLf3PQOpdL9/9km/iG+EvtoMmb9BQIQ/oZPFv55wVr9yiiQ/br/wvwDMA0A6rrC/KMHGPg==", "training_traits": {"structure_gen": "Regular Triangle", "n_layers": 5, "max_nodes": 6, "activation_func": "ReLU", "epoch_num": 6}, M "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=36M 5/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,thisM .stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeuroM ns(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*tM his.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=M e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1M ,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;eM <=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=thisM .wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}functiM on I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,6M 4.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,18M 2.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2M ,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.beziM erVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,M 12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6M ,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457M .1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVM ertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bM ezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.filM l(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79M .1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172M .2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,M 144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(M 190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertexM (236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.09M 9),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.beM zierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.beziM erVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256M .8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9M ,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.M bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6M ,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,4M 14.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertexM (150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225M .499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,27M 9.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertM ex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVerteM x(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVeM rtex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7M ,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),M e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.M 099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299M ,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599M ,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>seM tTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&M &13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[eM ][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r}M ;static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.sM cale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currenM tOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);fM or(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":retuM rn H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=M q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){iM f(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,tM ){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensiM ty,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2M ]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this)M :"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=M document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"M ),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function()M {var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=eM .type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.tM ype)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="304";let ae,le,se,he,ce,ue,fe,de,xe,ge,peM ,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeigM ht;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(M ){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221M "],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"]M ,["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblM click",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ueM =0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0M ,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt)M ,"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(JM t||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,M 600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);coM nst e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex(M (e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<M Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){lM et t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),M bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;foM r(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();GM t=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let M e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=M Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floM or(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.M rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,hM eight/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),JeM .textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,M l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),M 1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),UM e.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170M *le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BM OLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fillM (xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stabM le for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,M r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):sM >n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.puM sh(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(M 15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.leM ngth],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.teM xtAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0=M =wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3M ==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.M push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),M o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.reM sizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(12807M 5)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence."M :t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is M decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=M height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["StandaM rd",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["MuM ltiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning FrM amework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b489e71ebe3a220","version":"202Lu3.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> Chinese warship starts live-fire drills near Taiwan 3Chinese warship starts live-fire drills near Taiwan .!#!#!.F+3++3+F>K=9=K>oWMMWo .!#!#!.F+3++3+F>K=9=K>oM text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 @{"p":"brc-20","op":"deploy","tick":" ","max":"122","lim":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 @{"p":"brc-20","op":"deploy","tick":" ","max":"156","lim":"1"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 @{"p":"brc-20","op":"deploy","tick":" ","max":"188","lim":"1"}h! 2023-04-04T20:57:33+00:00 2023-04-04T20:57:33+00:00 2023-04-04T20:57:51+00:00 text/plain;charset=utf-8 rare sub-1M inscription #985724 text/plain;charset=utf-8 :{"p":"brc-20","op":"transfer","tick":"pepe","amt":"55000"}h! text/plain;charset=utf-8 :{"p":"brc-20","op":"transfer","tick":"pepe","amt":"12000"}h! xxxxxxxxxxxxxxxxxxxxx 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> text/plain;charset=utf-8 B{"p":"brc-20","op":"deploy","tick":" ","max":"10000","lim":"1"}h! MjK=:THOR.RUNE:thor160e0ggdfntfucl5cvlg5mgvn0e9nnwwuxq958k:144907630999:xdf:50 xxxxxxxxxxxxxxxxxxxxxxxxK text/plain;charset=utf-8 text/plain;charset=utf-8 CjA=:ETH.ETH:0xAaebc056599A17A0Eeb572fCf86f54863E007A63:5594705:te:0 text/plain;charset=utf-8 "name": "erd.sats" text/plain;charset=utf-8 "name": "qrd.sats" text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 "name": "ird.sats" text/plain;charset=utf-8 "name": "krd.sats" text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_287", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 10, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "1k5evEPhLr2/B5C8kmOlvGyTvLyYpea8kOGnPOcug71xGU68cyvxvLEQibz6z+C67vymvBXgXL3Guu+6NsukOWQsXLyJCou90EZZPWANDDz8Dxq9ksUMve4PNL00bgO93jKVvH5xEr2E5Rm9zycivJxs1ry7M 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 fLs76hBpPR1W3DyOtN28GaXDvLES2b3zbz09WV2HvQMuR70FKiI9P7xLvEZRfD2ZLdM7kpUhPYVohDxuunO9tDTdu+N+9DwcIDq9ACYgPTxblTxvkbs8UPVCvBAPAryzWKo9LtC+O3jfyLu1e6s9CQ8EPfIbDj08zbI8qSZQu8RfFbzxZ9G9j8/FO3Ts0r2Gres898q/vTUdvjx0Oto8MAAQPfy8VTppmpe8rTnMPINjHT0Ydzy9IAkgvcKo47yMZEu9luC4PaY9AT2xvDc8hyOFvKmNED2XClA9pQr5PPnts7uXpho9l2fEvKOMgTv80F89yoKmvWHuBb3gfrq96+R3PXulZr3tEsy8TvbgvZKRf7zr/Fk9aCBPPbafbr1ixLi827fZOz14aj2XEBm97EBFPF1Cm72PKf28ZIaIPcITPz0B+PW8X7oEvVJKyrwwDEc9Jb30vECzZL3NySA6TBA5vIukbj2JbZS8lR6zvW75y71T/XG9dFeAPQfpuLyxmmw8IBniM 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 jQ09HJsxPRxzjbxYCRI9PgCzPBfkDL3FbZ281R3lvGUkFj1eEjq9bLtbPY6BfzyuAN89pY5vvJX30Tw6H467xBJcvXVa0jsxtLo6BLgMvaFYgL2T/GG8N40GPFH9uzwTNgw9kkbOO25Zq7uHcXS9rSgwPUpJErqD9e88Y2SePYekzzye6dE8KiSRPaZVMb19EZG8GWhLvZdYqryiQ9y8AwgnPXSuNjy0hxU92R4CvOozV7t4bd48sfjPO2xc57xy0d68edYjPA5I872+Uk49l2u/O30F7LxSmx29iEtKvQZWczxzvtQ8hOJkPXGXjjuFKW08fPY8PTi9Eb0c6zg9dkeFPagYMj2tE+A8GuEnvZzOoDqVZxm9PCisPCBM+jvSrqQ9QvJNvOeFnbtfbGY9lEprPUNymrwqFzc8VVWbvLBZ5r0fsKq8q3pBvW2VFzwj9cS8nYbvPAy6D7wjzwq9PuDWO9p4ubzVX9W8Y7RROi2Fujt33V29RT5ZPQAwFD1q5og7Ur0hM 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 veiz3Tq9wCw8+NYvPZ6fBL2+mYg9+WR6vHOPOb0TIuu7RE9Fvdy96rwV7Ji9BRNfvdmdk7zT+ia9X9u6OxgAsrriQja8XNWvPGU6ID3aUCO8T0BbPGJShb1umCS92l34vLQdEb2UMWW8QygWPe7/Pb0+bUi5vGokvVwW/jtNWqI8RVGpvOVGSzyhr5w9H+sMPfPFozwzc8k8czs0PaDj+7x+Uo+8LXEYvOKthr2dWXW8N3F0vfvXortlWk29w+lVOoB6gz2zpkW9X66mPRRemTx5UQE7FRg2vUveT7xvBTg94ptGPdv2Sb2E+4I9JHgVvfFlA72m5U89QugSPVFDxrw4eJo9PE8QvI6ucz2Vkg+9NjrNOzQz5DxEFYW7ZlAaPPqawb3oQlm8cuNivM3gTz1nFSC8PmA8vQRJtjyNyi49t/ABPWD3vDwxYlg8YAadvdliGLznrwa99CpHPS+GbbyPFgQ8mmBbPIt7P70wISe9NRoavCUtYr3VFLE97lkWvdam5zi6M 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 vX4rfr1Q7KG9kC8vPf1/vzrpq3y9QJecvPe11jzeYAs9NnBOO2oHUL3JZBq865O+PVh947yqmQE7nmsKvbi1cLwuYdO8faEMPQmvhb108TU872xHvFAKQjw6B/Y8Ha3ZO87Rg7zwk6i9J2aMPVhD6L1IURi9+xHcvXERvDzSWDq7e7VjPb/nrDz4TGE8miaIPUgoq7zTco698TZmvCfcCDt/V+K7yNauPZ5zxDxeikQ9sAp8PQLWkDy7vi89w4nwvFcqZbyxeyQ9Ko0bvC4wVD2Bf6Q9o+rpvCYQVT2iLJC90XU/PV/P2L0/FAw7tnYGvdZK8bwNAz49FRhjPUkGJj0HoUw9qGcJPQ2U5jvSCom8kYs3vV1KzLzlJLo8GBEFPRPRUT20sXe9I6i2vDrzHD2KQ1M96PQePLl2iL0RwL89BhssvYuPYj0LH3M9611uvbGJSL3BS129jZmiPUjJWb1id2q72fn3vRV/irpQAIC8NKIzPaPHd72Jo+E6CzAovHBleD0EM sbu8AoOAvNdsKbyla768q748PFA9vLx8DcG8/12qvTuhijy/4Bo9Iw0zPYK2172mCW49KtpRvSfoHD2w32I90hCTvafnn71rkDK98L+bPXXSs72qB5m9jnMPvq/rNb08zJU9OzhtPJPTebwrW8i96WADPLVxnD0k3Tm8TVyHPCghA71+nDG9SM41PNxxS7tEtqQ4R8XOOmLQLjv4zqq8PcbqPMZ5Ir0WUNI7oB0BvX/JiDw1DGs9aR8jvVPUo73N17q9C6FJPWfvM70Y34299JyOvdJLozw0MC89lKDgOqvNsb1MFIe9T2d9utw2dT1KZ4G9oQ1kvLZ4SrwOGcu8UIfVO+3OZDtXDWe9fqGrPCVuDb24Hb883ZEUvZgQqb0PBpu7iecGPEZVj7sWcJi87iqavENGAb2/ZDa9CNEtPYhWKb33uUa8HPKrvXNmyzynkbU8i922vIjvFL1Ip4u9j18wPNgPeDxPD4s8hUaovLktjTzVMy69At4cPZI8Ez2Z6x49lzijM 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 6YA7keSDvcl7wLsCXhM9lGQXu44Zo7sqKUG9UXqNveIQCr2+YRE9DK5tvYmwAjwex9y8pZS7PdKQHr074I69VT+dPYuolLzcjuu7peGjPJzyzjy6gx09yOW3PPUdhDwFmbq8Y3s3vSBMiD3Ej167/fghvcG7h71J1ki83Rrjvar2Tj16boM8qOWIvfdkojzRVrE8a0/FPC+3MjyTdu48H60bvQLYOjytl987LlFgPLcgFz2KTYc9Gf+DPQqRX72htWY96z0OvSy4Hr3Pi1Y9x3s2PYjmXL18a9a8aCK1PKgdVz1/B0s7HQWEPWEyX70Fg4+9vORvvQBrpz21FAO9R83cumxOqD3wu7o9u0FBPRIJpLs/Opa8jQeCvRr2tDxyZbQ9dl05vUynab23sy09q0oDPkRP5Dz7yaE9NX4zvUBZk7ys4ya9FQLoPOCPnb0D45e8X/nAPeHpsz016PA8B+u5PQWzmb1aHIk8GVM8vbUorj1dhxk82+3gu6TOojsgnIY9Mm86M 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 OzHKVbp+BQk9PIjiPMo557yct+08nmfbPLixoz3YDVk8P1CbvdIHIL0Gc/i8cAOHPNnfg71zA0C8B9Z/vd2OEL1N5Ck8YciNvGnDEbsOTw69dTCgO6nJET2JDfE8FBvxPE7L57wIrPy8K9HfvMXjyDtlo/a8ByAePaEM0zzggg69n0q9vEUh2jyEEmA9qsVtvHo3Lr3/sM48s5YpPCO8hLyjcK69MOVqvfMUKr1+drA9yG0Tvvr+dbuk7JY7jO9bvXk3HL2E5YS8xUchO7UQtrzBEZc7K8ViPA2IobzJoRC6uKRnPQK8r7v6RYY9i22OPAFw07uq4Ay9re2DOgDYjDv8KzY9NCnivO6+7rxevFW98pYWPXKMwbyUwQO9WL5vvR050L1dZL09AaeLveFHcj3itJm8obYXu1QboLwKKCC9yxqDPWrGJLx7Rxw9RE0MPXj4ybyQQTM6XzBLPXt3CDzTh7I8THZ6PbsuED1UbGi7N55qO/P98DwF0GU8ibZIPdsZ2TvkM 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 vTLNG70eiTQ9ee98PUrosD2QR2e9w9wQPc7ZubyyRNQ7Fpa4vTGSnr2HT768sLn4vJ+iUTzxNuk8RgYyvYdwOrwQo5e8sSAUvabWW7ydAG68E3nxOxqAjr2s5YI9/K15vbW1Fb1I9aQ9vpS1PNRj1zyFB50997IwPTuhPjzSFPY9YgSOvQKsQrn4YOg8okOZPeoW4jon6pI9WrqyPYnn7D2W2pU8tscYPrwqO71HqT+9iqUTPQYxAz3HJgs9gSZ8u2Sviz3Piag9eQBkPTm8qT2q/oK9qKqXPYTeIj2UyCS9QL/Mvb5zQbs0Lny8dH6qu7yMxbh1fgS9iDYbPaldpz28A2U9DqIePd1Rwb15LVm90GG0PeGbirxfEjs9kUpAvQ+93DxmbyI87yL+POuP5rz2+EW8HB0DvdiOjD27/R+90l+0vLa9DjvUvHQ8aibkPAy8OrzkhZM8WHuZvDJfyzxDYAy9G0Q6vM1eXDyYJ829Q5Iou8UBmDzZ34K8QhZEvUyYar1CM 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 akM9UkNnPRTJgz1zMbK69YkuPXQfOr2BvDy9CEkzPf0nQb1Vrqo8nSyePYKDQT2u1489n64TPSFz+DxjYTa9HFaYPWp5Ljz0l4m9KZHlvHosGL3LKlg9b1GsvdUmFT3Nx4C9+Z9gu0N/pz3X9Oq8pZq6O+36JrwUnW+9I9uDPSTFAz0LqTw9H0zLvSkNUDyjfQG9GE3eO/F1p73Vl6e9rJALPbcxUD1M/VO9M57FvCUUPb0ZtDi8kigYPZhHzrvTbjE9Rh0WvUELBr1ik7g9pzsJvWMwDb3XmXG84XrXvEy3oj1sflI7hVrpPGboaL12P829X2c1PMaS67yNsQa83vOSvEhdNLyKfzW90DDVvLvUWT3Uj5282eYiPcPqKz2qsaG82inAOUSl2zvTcIq8OjafvO5Fs7x+1Ao+LX+EvV4Y671shWK9lcPBvH8wKr1zfWK8BEL/PJkslLyCMdu81qrtPRVI2rwoaNq9vyckvTnLZr1THK+9+Ls5PYu5nzy9Wrm95BGiM 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 PUcjE7uPGEW9tkQGPRlvar272nu8GFwJO3WBCby5QNE816+GPb6zsTwICZo8KPHdPPYhvbx3SAo82+S+Pfpuez12MdA9+bKOvcM4nT0TQwa9P+A/vYOs9rzw66W8CNpgPZOGeT1+mti8yvp8PaDFgbyooT09bS2bPJvMFr2oyHU89OY+Pf2swLumLbY9rTB7vNbz8jkaEVG8uwG+PVNtB73d7IK8w+++vTmztL1H19a9Q7EkvoBDbr1cmYo7CBvTPfrFjD0wLkY8enzSveF3Db2VY4u6KmrcvGniyb1o1L86xX8gvSWu/TyJjte9MUY9PMqxm70t4Ye9AfKWPVOwQL3z1r+9TPBSvUamubyfTaI819XTPeGLAL3UFJC8UguqvfAruL16mPc7kRcHvrOSVDwrz5y9TCiOPc3DFD65Rle9AmV8Ogzser2oTdm9KMizPCYIAbvDOLq9fwyavV22Hz0ABTq9wdwqvV4CO7y3UU29LT13vKxUTD3vDC29RzwhvFOOPbvhM 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 3JQ8ffwdvNWK1DwLzeW84IXoPIYcDD04Yl49AzAKu1pCdj0lgre8adhrPPZUPj03lfc8siGBvTVxTb1C9Kc9rOL0u9Acsjy6hc0924vovJZ9AL1aJLi9EGyQPaGKq70jvE89WwzIPQ92AD08m7u6o1LBPBNzXT3YWSu9tjvBPWj2ir1p3CG8b601vTKGnr2n2l89LxYJve5q0rw4D5u9ciWnPQHBIT6BS5S7/psxPUI7Cbxm1g6+VjOkPfJblT2NP4W9kOzYvWcsdTzlQqM8jdmfPH8Hij2jkEE80K2ivX7z2z1Cjyw9Br2YvTf8ar3f6oo88HY4PeC0Pb3F9aU9Smx9vApvML2YaMA8D13QO8iSFL0EWW89ClzFvMB3pT1bRa29ujK/PS2DOD2eMn29oYeku6wctD1GgMW9h93uPeuMhr2vaL28w2uxvYvEAj79Wvm8R/hHvXzGLDyNO8M9Zw2RvRP+tT0x+Ru9wfVGvWvK1ry3+Ko9GpyOPXkXAzw+wxY78k5ZM 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 vrigtzwj1Ri71FvDPADcsD1rS++8rmBzvaf9ur1X5NG94nZZvK/WPb3Yb009t26zvd5s9zxTLOC8gcwPveKPYTwV53o88TkYvbNHrTrz6b67CdZmPAhswrzCFyA99TgKPiXjP7073Dg8pcYHvmwL2b1U1mk9hMi8vTEF9jxy7em9m08LvUhoRz5X4DQ9R6LCPeYO270YhBK+f+IRPm0iTT2un0O8i9IRvr4vSDxdDvM9m3j1PHMmnD3S/S29pFTYvUbiCj6o4OM9k3d/vcYk3r0FNHy8El4vPemLxTxB01W8yLCyvbGnXDx2FhE9f2UtPelLkz2eP5Q9GwyPvd/x1D0mvoi8e2WTPaQAPbtaA6i8OIZ8Pbla5zx4BFw91s+DPeKLzb0Y3kO9cpDyuuqeET20eJo89B1YPbGhibyucUg9zm4DvZrv8D0Bpyi9lKDmvGf0c7tGxdQ7ZB0PvTk+PT3ppho9QrsjPejuyTvwOh0+CqVYvfJfl72UnlI8nnDgvEMOCD6mM 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 vCRGCby+X+I87jr5vIajrbxcs5i8kZ/HPFIgrr1nmOA7udvHOzjGOb3N9I48Z0uBPRknML2ESxg9TltjPJVCOjwQPCq9XifNPApzPz2p6Qo9PMiXPDlUKb2VHmu9bK9wO0dgizzSo5S8LH6OvQ8Grjw3ObS6PGprPL8+IT3M+hW76FmJvZDGID1+D0A9zPBru0agir1jGYg8jXWkPHXJM7yZTte8QDEQuqhTAb1/Gzs9aAcoPaqiHr2936U8PegZPWF33Dyf0oA9MRUDPZ5dx7xf/o48ULhkPSk6ET0vb2G9oAyQPPFomb0Td5c88zwbPAYCrDnOowu8nyWHPLaZmD1kNls9mzHLu/4cojzp+nq8fB/IOyPoGT2P1J47SE+8Pb07Zb3e2Dw9r16MPTUbqLz6qi49GZvpu/weDTwooE88D//Pu8bPUbxyZBC9k8ZVPTvdvD2CaVO9NxofPV9KIL16llS83rwIvWUIUD3gIUe8OLMoPfg2oTzccZI9n4AYvH6VPD3LM 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 PbN0UTxb9Ao9FpWRPJSsTD353JU8Xv4MPQrPDLxtssk86XfMO+1FUz11Dh09hhECu/4b0b0nCg+9aL1mO/3mCTssg0c9Z7dZOknqHz3iftE9+UaouzNiiT02bnG9h2qwvTrRd7wdFtE8kTkdPugo7D1npuw8msnrPCLL3rx1DqM91rvKvBSo2L1o6l88FbG+PdzNyz1g2wU9D/ZSPSNslz25woo8m1AaPkuzrr1kYAq+FcGBvQ5MKj0GbnA9JkazPWR8ybtpUQU++vS4PI3lDz5RAPq9G1amvPhSzLpxzL09w1rrPYOdYD3TR5e8iGGAu7GGBb0sJR89bQ2mPOljor06EBk8+Y28PeTz+by+SUC8mz2IPAt0wLu7oqS9qyuxPR/mJjwad7e9Za4QvX6+lT2LbBU9xvJrvFW3OD38REQ9TFXHvCklbDwfQBu93SbuPSI+/Lytln09rpPyPKb+Ur1mH5W7uoadPQA5KL2ibIO8wTVlPR+gKT0OJYY6YPY9PajiX73xM 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 O572qb1vkWo9gWKMPbPK17wW4789r1alPVssrbvykzq8CcutvaQBwDwaKSC9/hVgPZwI4j1OvQo9cFxdPRyaIz2wLQc+ES5tvY/iYL0k2wG930BSvWtQij2o4Lw7hGYOvb9lGzxMdM283f9hPSyTgr1XXdi9C2fQPMAzxrqgzoO8QwgiPelBkDxo+HA9b8n8O4Krdz2lU+S782Q7vUp/dzyc6dE8bGyGPfxD17wLaQ49oDK8Pf8BAb3F3y09AX9HvaQ+57yBa948ckETPQ9+jz1KZj08mS30vN/11jzWlZy9nYaQPadEXL09PpG9QfljO+Yrvbw+HrY8MjUBvU1+jjz4wos9hGDwvOBGrLwOPNK7xaWfPYPzMT3MKMs9O8VRPT+dG7zTJgQ9NXw3vKMHbTwrtkU9RTNGvLY9RT0oI8a8mdABPfZOE73/XIO9NMwpPEw7QT3XrW29GJZ5ORFaMD0nG9i8597qvIp/hjyWnz48baq4vfj5azymilI902iHvRjf2bzoM 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 ZBE9W6phPMiFED2TOTY92HuEvBNX6r2er1e9S1RrvEeBjb0Kk8A9ZQzDPIx+K7uqlnM9LhOHPZlMfT0GgIC9XUGCPAQYUz2Bn568DQbEPIs9B71Ef6s8tYnWO3E4hT1LA8W861fkPOcPUTs1y3I850qYvcw6gbxU+z29CP1hPJYjBj1Qrxk7QdPMvIIHd7zqXV27sqsUPVrRur1Rci290hb6PNczOb0f8qE8XqVvPcM4rr0Tp508jmYdvFJJMD30AB69sydavaQxpzwhpBW8Qr/SPJAqbT2ZGQm9dBd9PKEHQD1xs8A9oR5Xvc7Na7z8YLu8DTYjPZBoNDw9M4Q9MDVRu0HopDxpncI8K1RPPRcLA71ywJC7a98KPXGX27ymIDk9NttNPc2euL333wW9Rc9OPQdw5bwFfca9H/Fkvav4HTxQQuG8kXWGPCOeGz3bqe+8toDkO30Ij7wIKSU84lb1vQeQjLz4jhq86eoEPVO4oLuIH4k8ISqwvFNby7sVhFe8zcyAM 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 PFt+7Txv0jC8nRbhvd1sCbuKxp89DjK9vL3RkLuij0885lGQOruuzLziyCw9kOl5vHPZJb0mMiu8jZtfPZxlDD2nRH67cGmBvTIpNj1cmJa8o+LfPYfJMb25asS9b1PGvaIPyLwh5YK9BNuPu1sQrzwXZG67MNFCPdzLJT03y+k8qsGcvFAMgztI8oi7PoAcvTFROb1eaAI8y8iVPNVaz7wTzmI95JbUPcrBk7k1Hrw99qH3PUdHFD2i2EM9aYKsvfkz+Tt8eT28kYOJPfjL4TsyTlO9LsfwvM4IUT2qrk+8fp6SPKHDsjxuQZ+8RXogPLtrTT28Bnk8WY0dvVUI8Dx/fzQ9J6o4vZhyZDxqqxa9XDvRvVv9w7zK2qw8dHWwPEYUqz0J9cg8L+AaPJY+Hz3v57M9h/OJvPVtYL29RZS9JrO0PQN2Yz1E3YA9TOh6PGDVRz3P/KC9liRzPQHc0TzJQDO9ddcSvV/MWT2iR+U8JO8DPDaEvbz7hFC8s08/Pfp5fj0eM 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 HOU/TZKEv7pPqL+blaK/pHM4P1b2wL9+tYY/iNmUvzolBT9Gclw/2iu3vyOyyL9aIiw/EvKhP/UTrz+uT9W/G12KPi4ZpDzodQG+LNzhvQ==", "training_traits": {"structure_gen": "Triangle", "n_layers": 3, "max_nodes": 10, "activation_func": "Tanh", "epoch_num": 5}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteM ration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e)M ,r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePeM rcentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:tM his.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.M fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){cM onst[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;+M +t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNM ode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.updM ate(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7M ),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVerteM x(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}fuM nction C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,4M 60.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111M .5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.M 9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.M bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(3M 3.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.beM zierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451M .3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,29M 9.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,29M 2.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezM ierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertexM (179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(M 217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(21M 2.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),eM .beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359M .6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,2M 82.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,5M 8.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertM ex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428M ,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),M e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.M bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,1M 03,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,M 205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezM ierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7M ,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVeM rtex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,2M 10.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238M .3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(M 323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.beM zierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387M .699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=nM [1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){leM t r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=M e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);staM tic __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const M t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructoM r(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=M n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forwarM d(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));eM lse if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(M let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.poM sition=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)M o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curEM lement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||M "height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attM achListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;FilM e._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==M typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._recM tMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("teM xt/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM M=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="288";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","DM ead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGM raphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.coloM rPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0M D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00M ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.displM ay="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(eM ){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!M 1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155M *le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wM n,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.trainM ing.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,windM ow.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(leM t e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[M e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.pusM h(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}fM unction Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,M 1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,windowM .$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[M e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;M for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)returnM Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENM TER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),M je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.iM mage(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}functionM Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<hM eight+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];UeM .fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"10M 0.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,stM ,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?rM =`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*M le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSiM ze(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[uM .length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeightM (2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");leM t r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(letM t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSEM "),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}funcM tion lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.lengthM ;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStopM (0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.M textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){M const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition abilM ity is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state,M where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear(M );let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["19M 70",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14M ],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.trainiM ng.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsigMa hts.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b48d8bcbcc753dd","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> text/plain;charset=utf-8 "name": "yrd.sats" text/plain;charset=utf-8 "name": "xod.sats" text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_377", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 7, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "t33ivMOIw7wAjleM 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 WOz3nt668LbWQvQF8M70oFrK7IYBjPZEhID27Dy48gFq8tqm9Kz0P4Cq9tHa7OVhRxz37vsQ8lCmXvTTZ0z0ufO48ebGuvU5LdDyt7Lg8dgC6PNk/PT3D+R69M5HvvAWDqTzoJiw8OacMPS6CCr1ojNW8zDJuvYuIvDvySSg83DF5vGDrsT0VpHQ87eoTvX139j2YoW29qBeRu8xEXLyD/oA9pdrEvC2HJD0HDE+97NopveDzPr0O1Io8oZGZPXEOkbzsOK483ByyOwn3iDxXKzY8YcDcvBBCoDylBBw8pviSu4NVwT2z6pq8BvSjvcZjtjx9TGA9G4iTvVovPzwsCVW8Q1bTu4TSXTxGGc28fThmPZoG3zu7tiU9u2kAvdLhrjzKywc7Mi0hvWINwT0YhH+9PWHGveD7OT2nLBq9uRZEvWvbjD3u3OU8Ez8JvBxbizzCrs29l+iKvH5Pvrsr3I28dQJVu4BXyTyGNiM9TcUDvUiFXj1zFTg9l5tbPc0I4z1TizWM 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 HzzyU9dQ70CqMvbqdzTtQzpu8h9rnPKoPF70Cwws9JfmYPUhh8Ly/iF48pN9lvZMooT1xRm680iLgvKUnwD0Thj29S0v3vIU63j1e1iu7HAmZvZsuiz2zGJ494B6TvV7xgbsXoom9DN3quzXKwLz7gIu7Dld7PTgaoL2GVqY7NIOmvfRWazszeyS8fnUkvKYZqj1MPZm8IP+QvdRaRz111YO7VhrVvCMr6zyHHIE9yHa0O/7jdz1GGtG9ApexPILCfzznf/W8ENE/u0fEvrv92au8SolTvWCVDDwpLwK95VzJPKNODj4tNie9pH2Zvei3gz3blRC74JMhveAkTLxIMoU9IWuevZPfvLugChm9/ErWO3cNLj14yLY8a4KCPfsgNb0L91W8NFWgvW2jPD0DLFK9RMa4vLVIOz39Gzy863envYbhoD1M9n88WlqXvR6UYj1c+TA9uve9uzP03jzAb7+9jKLxPOo57rtRPSq94wFnPbXEHTvQnye9GFJpvTSZPbzLKI+M 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 YmT3wDUe9z4bnvacOojzAm1I8wnY6PR8+bT1u1ge92HX1PFYPL7zxNcs8rrwAPcC8sLxMGdM7wtwovZi9Iz0FzOU8VWUZPQulWT2QKaY8CBOQvXr7rT0MdaQ8GOq0vRG9YD29xJ49BVbHu1s+PT34SSa9+DEovQy2abry4LC8n5dNPeHgL71BiSw9zr6+vV2FWj3GIQs9PLVDPdtsxT39Rpu9cJNevbQocz0VfYU8VNLrvK+ubT2Mqio9nvosPP+aID0UjZG95UdNPfGjGj0kzCG7V4q7PKYEBr0OZsi84ZKYvPd0Czy1X5Y8ulgTPTkpDD5o7Km8HHzSvRw02jyC1rI8t88mvfg5Hz1T6Mc9+P2yvcnF7jyXv4q9DRUnO6F0PTyUahc9zSqoPUKu4Ly3kEa8EBUtvQ1ktz0TOTO9l4ljPZD5Sj3H55G9rbKdvVui+DwGvB49cVIwveUgLD1HpYM9xILWu6w90bxYisi9htlxu7lnuDzPW9k8ZUR+PEumBr3dJNIM 8h9RDvcSeJj0YOuu8X2U0PeT8/z1nzOi8QequvVLcjT3cYx08bGIhvQWHFT3EaHE9BHvuPAH0Ijll/3e9Q/bqPFWFlTzgBoC96UhWPKIRjLwPvNq8LKyqu4B0SD16rJm8k/hjPUsy0j2hhRO9RryivUqysz1gUec87K1tvRcIUz20yCY9VvIiPABfgLyenwu9aQEzPTMTLzvV46s8I7RDPW0Dd72MXQW9tvcvvaYuuT1u0jG9pOtdPOEroz1BKq+9GcqCvWSLLz3Ed7C8TbXgvBm7Mz2UxQo8STmdvdkbST1tS1a9In9tPKUFmLuUOwo9hcSbPZv+bbzmDoC7WxVOvC7efD2b0Ac9GLU0PYBIgj3XpoK7KU+HuxQrED2QpGU9y0IWvfI2mT3VAg89BFCQvXRxQj2kVbq9d7MWvUe48rz/yWw8IcZcu3ADJDzI1Xi9wzOivQlyRz13tOm7NXrQvNM87D3tAgM9fHmGvfQKfz2cHC08KkWKPD/3pDzf2S89l/ceverM 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 cOT0LP5g7L5o4vVAIsz3JWEO9Ee5HvLDCbzh2Xmw9jUuAva02Oz1bMGi9oOLAvITcsb1bEls7LcLEu+wQmDzj0YO8nWnQPDGm/DzIyaA7fNxtvCi9yz3/WwA9ERaXvTDp2T1Y1hC86pRGvX62fj2tG4k88a6Pu7jyUzzk+6m8n+uBvXEecDtqojS9LmtvPYC2i7zxVV29x4eAvAFfHDzK0zY96LYpvd5dqT2l2L28uwPBvfHX7D0CcqM8MOW7vHKNGr0KgwA9yM+LPJJe/TzCXgi959SHPK6FuDoQLNA87O6nPaGFWb0gkZW8p/GNvQyQRD0B9w49jmsKPaUe6z3WQtG9U+GivYJCSDy5ABg8OcKBvAJfYDvnuW49d6s3vLacHD0/gce9bPWbPGViqbxQCT69K+uou7UA3ruvtOS6fMKNvXtDSj22Sck8GOeDPKuRmj2SLae82uOMvO+Yaj1vtrA8AWsbvVPOfzzjmrM9NtFZvDm4TbyETNC9CXfMO5zSQ71HCAAM 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 9OGa/PUu81D2+NIe9DSomPTeF97wMmZA8PnRwu0tawzwc0349HGTLvXPhizyHO1m8T1ouvdpeST3DRcs9oJaiPOSNnr09m3M99nCdPbkNLD1flqu8L5OcPWAniTvP3ci9oq0DPVjUM72HPR49KPQNvPhqmz10TTK9qynpO7XhtD1lY1C7cjq1PNeC87ybg4c9zYmrPFn4Ar3AraQ9q+g2u8lkaT2cSZC9qyaFPae1dzx6aAw9Rj5kPRzCE7vWjLQ7FlofvS5EhT3Y2i28BjjFvMrcPT2RWRe8mBAKvZUgOL3TYlK8Q2sIvUoa4j1sXwI9P9xtPIr1UD2h/Qy+9LpwvDcuWjvZM/Q7uo3APV5lmTwSf7M86313vXAmvLz/Ug49qsQRO57tJb2nZb28cCABPZdggr1XDIk9C+M6vGN/yT2q6Wu7XS9TPGlVlDthQ4O9g2YMvaYJqT1ITlc9FZcyO9CJjz1tQsQ8lBoEvYnc8Dz/AaQ8aB4Ku4BhuLxEdbA8S3iuvM/M BmbxJEAQ9HvafOrBaNT5LXK29+i5KPMcmiD3KQKK9tqClvZKuPj1+9Qo+z/wGvW0alD2B40O97qcfvI2qg72o8VE9ND8oPfjNs7zE6wE97NuPvFt2PT17k3g8Q2NnPb7MBj5mQFK9CtwpPEhbsj3c7l69eQLmvcKSgDsVogs8TE7Bu0el2Lz+ivO7QsjzvJVTxbxf+d+8DD6BPVxr2LyZPE69/8aZvd91hjxQl2q8Y6DDPOpy3zzLqw89nFTivMGBkD1xyHy9ue8GvVWkcb1nOzo97+4cvWU9AL1E8a29y8HMu9zKCj1RX0a9G2GXPduDobsAMwO9LRF3vapnBDylJX07GmVSvMv9Dj4gU068BdLKvZ4Kcj2nule9hZCPvbA2WD1AdJk9AFMeOkjcIz3pDPa9kDZZPS2GMTyMcC29HAE+PdF2Mrzzg5c8GmPhvTnXxzyUNTM9XIRVPYNlcj25+pS9V0d/vd2KwD238/084TiOvTO8RT16rxM8eeNwvHT61Lt36/WM 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 7oCAJvSNMTj2XW3K93J+IvW4BMD111oy9QxGfPLejMr1VTrw8lQxyvSOflzzUb4w9We+dvKPxmj10fTo9aqnZPQhPGjz+2Sm8XJ7uvFawjT3uOBI8Lm9PvXa3+z1VvmO7lsAAvcWtRbzbqtW9kWbUO+kJKj3G8oI9rZPNvWv1sLxHTKS8TFhqvYEAeT0ihay978LbPXm/3L0cTrO8XRRLvVL35j2/4Zg9Gj4Mvf/19T0+LH29+ad/vXu9iTzWTxS9CTlbPWQ/jrusrDE9vPC2vbXT5DqG9C89qslWvG4aKD0qOU29veSSPO8ovrxIPJM8+zqXvUxGoj2en8A9x22wvaCH+jw5tw29NkmlPBQpCjwzNRW9qaMcPb6mE7zPqIy82gbpu6AN6zyMvG28WYcvvb3PjD2yFYi9mE5RPQO+tr3Ia5A87yi/PA2Q6T3ZHCs87cRZvV31Nz3btv28gQXQPAiy0z0gaca5kfSuPSIQcz3Dudk9RGV8vbvHi70PNsg9vGr/vCvM 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 7jrFTPKcLnT0eJMa9IHCrPfC7urylw8E8RKXQvEolmD18eBI9Cj8CvmyXmLwdExW7i6PSPIbK0r1WdYQ9psRevMlPcb30I6S88kbMvIznQb2J/ts7k+s4PKfChLy6TXe9jveMvLVRAb1SPvw8Ew4zvV0QCz3xseO7Qzt3PMRYY70JggA9k1RAPTx9Gb2Vlju6+mqdvK44wzt5apk9IpvkPHaHkbyeNTo9JPyaPFURSL20bpW9ge9yPIfYOz09JDO7P1qIvCDX4D0mczS9+B+FPVyryT25JzQ7YVovPZACcr36wgm9Mg9MPL4uwb2S/xM+/Lq6va5SULzC7qs8kyJlPXN56jyfM1m86FIrvSneFj2Ty6W9WJbsu3tiLT6sIYA922gtPWnch73lVq+8eP+dPWBMyLwYphc9JHX4PGQYN7sKRYs9j3KtvfTJRb0Wlh29fGDOPX8r4zz74zw9fXMPvqnq37tBaH48+FjlPb0JiD6cqmG80jU7PgdaNL5TCe295gTcPViM 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 ovjse19W8eAXYu9AQcD3Unjc9L+6OvemqVz2wx0w84g4IPZMHXzyQi7s9neabPJ0gq71u7mu7bH8KPdzfrT1mtGG8K4upPXh20Lw4N5y7nkYWPcBXNT1sry09TDfKuUM8Tj2C75a8mcSJvSXRCT3Y4KU9pwSAvJGop7sYqvI8vxWBPGeCE72KAZi8IER6ueu+rTxKI6G63Z9Iu25Gfz0+VKs5mSZHunaJwD2W/oG9v+wdPUF5CD0Lb8U9lBO7vBy20725ABw9EDTrvAOVFD5IHIo8g4QyPWMFC72G9ti97kuePLExgz0O/gg9EkP6vPIOIT2NfJ681lW/vQrEtLvpPLu9vB3/PBFTSjoStOk8H7U5vceIED2i1ew8yVU1vXDy8Dzii4E6QuXpOz2TIL3KaQC8DOc5vQcfnD2/n768CF5lvT90Nj2QZIy98Omyu/YcWr23O4m98lOLPUvhxbxRmo88oMiFvB81Kb1X86q8s4EGvazWvj1TOSg9cqzMPWjXob080V2M 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 83agivYQtKz2a5wY9uoK5OwTZtrp6ckI8mk+ZvTuXej18phG9ge/8vAp2wzwCHCS9SayBvL5o4rwjlbK9LLHMPRnh37yQG5I9gfa9vQ4Fbjy9LIm82KVAvWkQrD13NNM8h//UPVsA272cUwE9uyrUu+kDCD6XSak8doQSvXshoj3a5Uq9U2wBvesrZjy5Yc69hk43PJyOkb0robI8VdmDvTfu2LxqlNm7zhU0PGTAdj17sqC9arIhvZXdhr2ZwEM7YJZivQbHHT6KRIs9ZSIJvirTibwenYq9tdOEu9evCL0OnYq8bMa0PIPYfb20vb87hRHpvKruyTxTlsW8y/gLPGmjCz2kOpO9umwJvTFhqL1ZJDY9KJwKu0N9sz1aCHC995/CvTgRq70BdpC9PFeFPaijM72fkNg72Rn7PG/fh71ZYVQ9DM5Ovd38szx1pWk91eT1u/JFaDvZXJy8Rq5FPSMWEj30pgU7hx9VPake4D1qV4Y73bA8vPxtFr0vc5q7W3EYPVTM 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 27D3xylG90+YdPZtPt74t9aQ9wPQWvgpN3z30tz0+b66cvbNRuj1GWa6+p+CfPKAauLwxN0w8aO0cPmJIhj2XeJ09DCrkPFLW/jxyZhW+SzPaPSZLebyG0Ua+tfcEvkZOibyEZxg+Nb4HvcMaDT6QMYO9m0L4vQNx1b0Emw++/HRbPdzRzb3mAu894JK0PKahL70gOuS8S2NOPlgSDj2SDqs9MBcQvqRou73DtGy9kJ/wvUkBSz6Qnhs9hQQBPtt9V70S0kC+lhUnPAkpsr0WMzU+s7pzOx96vD1f4Ne9OBGSvSIn9rsshJO8tt5gva7X4TzjBxM9PveqPLp3Sjxk1hI9BGMAPuk75r10hEA95cUBvRXQ4Tzcqog9uf+bPH8yLj0BAuS9Qs5gvVQ6Qr147k+9rn/lPaWgrjtE8es9+jjlPeqKGD2KiAc+PrKrPEQAFr7uSIo8gLQgvZP/LT4PQAc8YJn4PayIAz7gbgi+KmLVvRihWr1TjzQ+ahKIvGq7Hz70ZsuM 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 75WD7vIfa8D1Jfke+KBUAPK+VyrwH88q9cNPyPPhUKbwcLBs+RdZtvpGyb7xc5KI8aiRdvV413Lz4Lgq9hab9PBJLlr1Mgse8ioa2vP8gPr2vh887EayEvH8hrb0LKQq+R+yVvaStxTznquy7oRl7PBhEWDw76VW70a8IvhuVLr6/HlE9oRJIvHBXtTw7KGS87QtXPQ0cC75X7Ky8Lf4JPWFbeL1BtHg9fk0oPduY8r3jJ7E9RS1ivSB8573zKwI+U6w4PTQNMzvQO9S9jMyzPMx7Qr4gKPk8W56EPao2lD0dhk49TsdKvI90W73lk6e9fJetO+ewlDxifR09fGbwPdh2Kb3VrSs+ZTMLvlM3zr1t3/M9GZSNPW6QnT2toQm+uOsxPYbimr7ugow93IvsPQKZmD3ObIY9wEqSvdTFBD31NX6+vV4HPfI90jvMRQQ+uyKgOyW8Bz3OHgO9Ge8PvcnL4rw+D9I7ZJpkvDIrPT0CdI89VCaFvUowbbyI5BE8YpaXvXfM 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 0Qb22U7i94DGZPNJGrL204Wk9ulzoOoM1p7s7ooQ9y4FOvcXq1zxapTC9QnlWvY8SCb2w5Rm9H48LvfwaSj22mSe9+qNyvQDJUL22AWG92/j/PJwshb0APje9NFsHvZYMhTuSVGK9ER01vFT9o7vcuQO90vFgOxA3PDydfgi99oGcvcMgDb2KUZY8QVySPMJfgbxIRJE8qH98vJ1PvL3OQ/e7PvLQPDwJHr2GDWa8sBQmPCVEjj2YzBW+ZtI3PhyWbjy+Dgu+tzzmvFYhAT0Vdsw9A28fvqUGCD491Wu9cXzdvbOJkr0YcNs7poqtPSuO/r1OOLo8kliIvZ5EFr6TlIq9MrKjPfcxFj12qxy9OvFPPaCRvLzjqYe8Eo2XPFBhHT6Aypo9qWLuPMTHiT1KvQO99qJ8vAJEGr0ezao925TRPSKwtLsTaaU9hTdmvdd3nr0KqLi9HnKSPW/WnryC7LQ9EEQTvtm2Nj0Cl+I8gzq0PYgLBT4xpCW98DEPPcWqj71WYCQM 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 93HPbvEXGWzzKku87B4G5PBhGWb1fT0M8junCPaYce71V4189sfZlvadwDr0bIRI7OlrLPWxzCr1CSzA8BwqYvZfW+jxxP489lDVQPUUtxD2OZBg9w9mrPfiZtr2Vbpe94Z0EPZTcqDyOesA9UB3su15jnrwqRLi9+sKvPFPRKT2CA5O8zhDPO21ggjyOmqs8D3zhPdO4NTzLJlg9CHSIPVt5EL2AkKw92Ag3vcB5ID7ht3W6X+LjPTMxWD1Rmba81mPzPVeiMD38eP49KOF1vc/3bT3WsSE9q8MMvmv/MD0JskY8egAfPrBPEz2AIaA9NBe+PakUnr0scQc+gUcDvm8Qhz7bcW+75c0sPcrX7jy4WIO9RYm9PXRNATwQ4zo+/vJsvb8oAjvwV9E9jATDvR49DDxZENa8PrjfPZ6yTb2odQk9/CztO4jTg73ppg4+3o6qvbGFbj5k7vO9lseLPRjHIb0ymZ+95G/xPTOs0LwSyOk9Y1pYvQJvej123d66+yJQPU3M 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 Q4DwdyvG9kn4SvBYdg7wWoGg9/BElPIpyFb0AkuG8hS+AvT7QpL22uA09lEGsPSTf1r0nLza8QfMAOxjty70y4dA42HIevf6NJD2LeAa9NU07Pnh6PbsDn/29A9evvR47Cb0IfDA+Vr6MvYL+kz0YP4S9fD6rvaAtlr3bA9e9/SnoPc0e8704d0Y9SI4IPSdkiL27S4C9ONB5vTQU0Lu7L7m9swO+PXMphj2oz8i9lvgaveqwyr3RMmI9ZbuevefGAz4Mgx478V5vvWSm0jxTrwS+qs0GPj9SLb6x1Q4+RU+aPYGw/b07R1u86IwLvbWMDbpXPQk9RvUYPcsehj2lIpE9DC6SOSDTwL3TukE9NhSmvS7Wpz1fcpo8MqW3vIJ89DuAZZq9QZwXPuPyEL6kC7s9BdMQPSYJZDtqFiK9Qc/tPLvxfrsrWxg9dsxSvbMPkTuOoMU9ZnkxPc8zAL2+csk8LmCJPAfxTrzIrQa978g6PAz0mjzo3Xi9cA+pPdqXZr30XcyM 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 9sassPQIKx7vGp5O9e01iPTyxED2rOrw802I5O4o6RLzgqv49r/UWvVzgPjx97nw9OJOKvJwzozuUrNI96SuPPfwv/byucs87a+RhPG4JDj3t7Ki9EHVGPYAmL71H0UA8U0xLPfbxTbqy+Ie9M/UTPZ07bj05eU89XvSuvFr7Dzwti9s8zmh3PFNR/Lv8+hs9qhPpPOSItboWkg89O8jAPEPJAD2WyGS84Db+PfKqh73+Hzg8wk29vOUsjjySOXu9+O9bvUiGoD0TBgm9aQG8PRIxIzyyszy6BsCDvSdkNj0uj4s9HVJMvdyFWzzpfdM8N4k+vZ9+iLyuipc7uPjWPZGfAr7AD8A8AlNHPVfVuL2QfM+9ugwovfWQ5jyFnoO9QR35Pdu9d7yDWQq9cvr2vN+IRL3cUVG9KI4CvhS4gD3r09074afYvRMDyjzJ3Jy9nmskvUZStL3ATZO7Xn4ovBl24b1UHNW8d5lfvcdnqLyZPrS9N1qxPSxAJzvtX0s6fZmJvRsM 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 S5L276Zq9uFucPfkEvbxr1/68o5WCPAgNHD1ZOYw9WnCmvcbzDD3e6fA8oG4CPUFRlj3Kz048cvAovBG43b0Q/i09X11ePPDg3T3d1+g8PwOOPUgugzicAOu9XLKTPUSPfj0QQpk85M2TPIomNDwuvzk9lLXHvWlI3jzdhoc92OTuPPx5x7sQcdY8+rm5O6yxOL7+Z489JBwUPUIkqD1uUva8xzOaPWi8VjwyRq+9pcd8PYDJGT1WIDO9imZIPSzZhDwDuK88GNydvD4Bo7s+54g9XGGnvElkOz2M5Lo9QxpaO+xWA75XUYY8XXySPX0gpD0eVEc9INK8PeHoVL3770S95PsVPcvYijwZEYu9AHbAuy1KVDvROP480hmHvQz50TwVj4A9gggqvWMoaz0z7i49JYEwu+tDCb4opo68Jjt2PGRj+D3n0RA9BrqmPbYJ3jzhUh699jt3PQ3WQLz25ma97ZaLvOCThD2QK0A9eM+hvUnmTr2jP+w81imOPDUagj2+oYAM 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 +76ouv5mLxrxCaEs+9lYkvx9ngD/egNW+nMqyvvzPKL3/Nla+EsPBPIsNpD0S8zo/GCYBPpLRXL+eF8A/TFCjPwLjnz4VbF8/0Rf4vjOO5b0Vg3W+pMZUPzKVBz8jfMS8G527vrrScr9NP4Y+2jWMvrtFaj/s7Q2/2naHv62Gwj9maWm/", "training_traits": {"structure_gen": "Triangle", "n_layers": 5, "max_nodes": 7, "activation_func": "ReLU", "epoch_num": 4}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){coM nst{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;thisM .age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStM ateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextM StableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stM roke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)M ]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nM odes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.00M 1);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),M this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.M 6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.M 1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.M bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.beziM erVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53M .5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,1M 2.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,3M 73.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.M 7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.M 4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125M .8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1M ,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,M 293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,17M 4.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bM ezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.M bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,22M 0.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5M ),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288M .1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertM ex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41M .9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113M .1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertexM (431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,2M 94.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),M e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95M .9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208M .99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,41M 4.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertexM (140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5M ),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(2M 79.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.beziM erVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.39M 9,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.29M 9),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertexM (385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){rM eturn floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return nM ew Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){rM eturn new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unaryM _op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.M mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);rM eturn null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNM eurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=tM .forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("RescM aling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBufferM (Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==argumeM nts[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HM TMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.M offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[M i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1M ===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.filM es[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.M length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("typeM ",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("applicatioM n/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;eM lse{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="378";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,DtM =!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGrM aphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn()M {le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d",M "#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffffM ","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEvenM tListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=M >e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("ClosM e",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}funcM tion On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButtoM n.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(M ),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkNamM e=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.M length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let tM =[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<eM n;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yM Bottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.pusM h(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,windoM w.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/M 30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,zeM =min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function M Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(M CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeiM ght(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),LtM &&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[eM ][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strM okeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,widM th/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this imageM belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,heightM /2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)M s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-3M 60*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(lM >50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-M 1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function irM (){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("PerceptrM on #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATEM TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(KM e,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroM ke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=rM /(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l)M {var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.pusM h(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.reM sizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.lengtM h}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthoM od. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.gM etDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 DM ays",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",M 74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}funcM tion Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPaletteM <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b48d8c3bf4fa210","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> text/plain;charset=utf-8 "name": "prd.sats" text/plain;charset=utf-8 "name": "xol.sats" text/plain;charset=utf-8 "name": "xop.sats" text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 7{"p":"brc-20","op":"mint","tick":"BRUH","amt":"100000"}h! text/plain;charset=utf-8 text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! text/plain;charset=utf-8 2{"p":"brc-20","op":"mint","tick":"<10k","amt":"1"}h! ~zTXtRaw profile type exif 2iTXtXML:com.adobe.xmp " id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c000 137.da4a7e5, 2022/11/27-09:35:03 "> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="" xmlns:xmp="http://ns.adobe.com/xap/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:photoshop="http://ns.adobe.com/photoshop/1.0/" xmlns:xmpMM="http://ns.adobe.com/xapM /1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#" xmp:CreatorTool="Adobe Photoshop 24.1 (Windows)" xmp:CreateDate="2023-03-06T09:50:00-05:00" xmp:ModifyDate="2023-03-06T10:05:43-05:00" xmp:MetadataDate="2023-03-06T10:05:43-05:00" dc:format="image/png" photoshop:ColorMode="3" xmpMM:InstanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" xmpMM:DocumentID="adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9" xmpMM:OriginalDocumentID="xmp.did:8b05b474-2032-014c-baeb-d7f687c78db6"> <xmpMMM :History> <rdf:Seq> <rdf:li stEvt:action="created" stEvt:instanceID="xmp.iid:8b05b474-2032-014c-baeb-d7f687c78db6" stEvt:when="2023-03-06T09:50:00-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)"/> <rdf:li stEvt:action="converted" stEvt:parameters="from application/vnd.adobe.photoshop to image/png"/> <rdf:li stEvt:action="saved" stEvt:instanceID="xmp.iid:e45fe10d-f897-3f47-8e30-1b65931ac15c" stEvt:when="2023-03-06T10:05:43-05:00" stEvt:softwareAgent="Adobe Photoshop 24.1 (Windows)" stEvt:changed="/"/> </M rdf:Seq> </xmpMM:History> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?> ~zTXtRaw profile type exif text/html;charset=utf-8 <meta charset="utf-8" /> position: relative; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; <div id="upload"> <input id="inputUpload" type="file"> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.HM SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="norM mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVEM RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotatM ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=nullM ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},nM .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)M ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){retM urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&M &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,hM (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retuM rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},M i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=MaM th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.M z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.M Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functioM n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrokM e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)M ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,M 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInfM erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._stM yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argumeM nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){reM turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-M e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._sM tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rectM Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.heightM ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTERM ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._stylM e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierVM ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;M let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[M 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.tM ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._stylM eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvasM .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=M l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}funcM tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)M {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-M 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLURM ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let nM =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canvaM s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pixM elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.caM nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.M drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTiM nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()M ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(M i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._M style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBounM dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[M b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>M >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2M 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:funM ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*cM *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+M " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","keM yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.idenM tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPM ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressedM =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.moM useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.M mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissioM n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.rM elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)M =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+M e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationIncludM ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?M localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"meM thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const tM =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_209", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007M 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 7, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 3, "activation": "tanh"}}, {"class_name": "Dense", "config": {M "units": 4, "activation": "linear"}}]}}, "weight_b64": "r6dzu1XIkjvsIwG91VHAvEJhLT3fngk95VEpvZa/p7naXLg7Fud4vNVVpr3Hwmk9FCnMPT3QlT1oSdg8OjuVvbvbTTusbsS8atRXPfjamjwWdNA8L++juxhMcDyBYKK8DTPDO8AYOrxVLVg8jeBxPTxUCD393Kc97irqvJg8TrzvfU+9aF+vPOb1fz01IIU9AFfgPPZYaT32dd+6NJuwPMKQRj3NPIc92p4VPXPlhzyMhwM9AIaIvEhqDj16OjA8mm0sPQlbubvN3UI96roIO7+uu70cIi+9sThGPCfCwT0/yCA9rdIWvUpmI72nQ1I9mYZIPIXCgT0MvoA9G+zQvJV1IT3sw/M8pdvgvB/ggTt5xUw92SqvuxBcFryFRNA9H0EXPbYXvrztQUO9Tl0RO6M4rz38k1Q9pJVivX0Iwbxn3Jo8O0NNPECr/Dwomho9VJvuPK/xN7xB//G8M 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 cWMSO89eyjwdtLk9dh4lvcHKgTz2v9u88BFdPYmjd73A0pw9IW46PVuoPb3GD4I971TDvHMuTb1eO4o6p5WmPbHQ7D2XRT29CHOfvYkHbz0F0K88MHm1PFDCnD0WxsA9HoAovAI9A70vOYs8B24sO4xfPL3hgQg8XziHPUD8vb39i5C8Oph0PUOj1L0WstM78U1vPc+F3z1X5ha9T/yDvGpjJj3iUWM9PDBFvfrQoT2nyY49TG2CveUwxzsPZJ07ZxnBvOOUBL25nQq8cZPbu+O6LzsWgtk84hf1u5FZkL1NdPq8QTYBPngK/z3Xz806Ii3IvexchjzAy627aJaMPDR0HT2ajis98v6FPIFKGjzWNiW9OYEuvOklmbuuZQu9cyxkOyf6Fjy73Rw9Qu+0OjWAtL0LG0E6WdJbPN8Noj3WMkS7LwVRvaSg/LwT5Fs9qtHUvCG6Oj0RUZ488/k2vWeDKjxcoMm8n7hEPUvirbykEbA723yOu71Jc7p4ugM9pvg9vTXdM 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 KX6VPUsVFbwE+aK8jElOvEdUpLyemqw9hEJpveLSmL1c6co8TpEFvKCACj23fyy75PcqPDbYhb3hpIo9FWm0PPFrprwteJI7E7G1vE4Wobzayw082L8/PT0olLw7buk7AY5tvI9lHL1cQHw96hY4vF0r57uMvw29svWXPLfnCD3bRi47YYmQvMBS0rxYFEY9An0dPV93BjzS0ik8RpJPPYBMajzhs/C8ygJTvD/DGzzxAxQ9FAMAvcNgTT3J9TA9Mee8PA7Aq71lr3I81DAmPUfUSzwTG+o7tx0zvTphNL17v4u8GVyUPS8Ek7xK9nE9U92IPcG4g7wqbkk9q+3BPLKAkjyYJyU9ZPoKvQU6wjxIb5o9f5ZMu1F9rr2UXes7y9RdPageObzKZks9Dz1Nvan4gb09kAo75FDAu7w7LL0oDkk9bLFuPU2nuru00L08sErEPTR2PTyPO4S7nmCWu/+gobxn8r49qSl0vcrOlLyhqkW89lwZO4Y3+TsEHQC7mGULvG7eM 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 pGibvdsLLjwY0608YNRfu7Q56T04LsM9+ghyvF9mvznk83O8WKMuPSuxUL3tIlq62oxOvMavN72iuEw9OT5JOxkNNr2jAUm9zYAIPmihhz2WZze8h7d6vMD0PT23YZg8i4mvPHqa1zyVas88REZqvOEq5ry9BCw7yiMmPQwNWr1IdSc94FGFvNMIJL2QEu88WHSGOwzbhb0TjuS86TaxPdWg0T0rOUS9qKrVvd18AD0PA6I9lmPevBIONT27sb09RZgyvd8srzxaYNW7qn8iPXRmUb3adzC9vrjXvA7dOr1svYI8xMb0O2vVy730xD08jPCEPT4iezyUpKQ857zKvAmx+Tw+ZyE9pf8YPUvpjLygzC497Z4IPE0vxjx8VhI7j/RXPadQWruR8tA8AMq1utFdYzy6xZw9cbHrPPEiLb37XvS7/8q5vBOcOT3zBpo8sVB1vWFSSDzWJbU8HwEQPUAOTbxZLTa54/0PPR2NNT2Gh0U7hCmnPYeL8Dxq5zU81pJSvYXFM 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 A7vWU+C87+JQPRQkAbz8q0U7sQRgvO0eD7xwb+Q7sbmNuyZgnbzFZRE8koNlvQ/8Pb32a9G8fgdwvD8U57sXPFa86iziPDNyWL0EPAw9y3odvA/SRD114yM9kuylPMxkl7y8Ngm9PYZTPcTEzr2r4gy9U9wxPWk+VDwFRFY9yk0HPIv6Kb1NNDw9y8i4PFkajLoqhCg9RCWwvHyGqDxbuzM9L8rCvCT2oD0Fg1e9lOQ0PW2EN72lhQg6uQ2MPOMvlb0m6I28VypPPAQsgT1eYi08/PQ5vXINLLuIe1I9x5CXPDsvWjyPkAY9O4qsO+MI/ryTOxy9TqZZvcT2qTwyUXa8Lu49vKy6Ez3rwiK9vlgGvfcvi70RFka9O8wtvWYHn7xCddc8P4pwvHxhvToNCbU8sPFqvXOrQLwgcFu9GKHovAOLlzxxwW8967jGu+8dALwNFD294UtjPJHOR73Uhvk8yXDdvOvNh72YN5u9IuWmvT1FWDyDzNW836SKPMsmsbtxiQE9M 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 lbowAVM8ubiLOw23zDwJWlU9sVi1vGAqzjw89wm9M3iSPPGWGrzkOA89MwggPKEO3bwWtUW9CxmivKzYm73isYG9jGA2PRSwibyXa1m817q4vRva17zdEPe82clwvdU+mz2MTgA9J4EZPJ+HT713mJY8ShsNujD6Ub1XaNe88ymNPGQcqLyJPHu9O7vzvGGwqLz5T/a7Oh5RvQVg37xYkJe8D3WIvbi5uzo7A4W5SNBSvcP3z7yTGT89PZUKPNoTU71t4yq9MMO4vXBzmr0bEim8+G3MPf6rLj1hyLS9lAfAuwDBtb0dTim9Y48OvF97Ej3N3OI8ckq1vd8gbzxxhUk8PZrgvEEGUr3pVVq8jdIuPKqk3bzO6p+87DKgO1HXDL5vTB69wMy/u4718rux9Aq90jarvMPGUr0E8oO8Im9xvax03Lu1CnG6LVp3PZ9FETyXqJe7EK2Yvbs0p7yHDI68A6sTvX4OSz0D//i8ko5wPSJPjr0JzZO9xsqVPMHgTL3X+hU9M 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 KLzwAH88RCh6vEmX0zwm6L687uaSuwegBj01IzG8DjYDPGIozbzUUiS9o2hCPLlFVT2WYgw+I4hFPSR827x+Ij68ZGWcOi0WyjwkqQ499fkYPb8K2rw+T2s9n4fvPKS3SL3CEwC98DaAvBL17jzf6/28R82KPG/M6zxEiq29e05/vCl8Kb3CkvU8W49BvKsYEjw2rAg9KCpXvXZYNTwiQ0G98WuduxWM6LtN32s9GCP8PK8NMr1zuQ69lndBvdBFODzU1r2896BMvFu8aLkOgGs8TKtOvSojazwiGBS9N8uiPHAYVbwfQV29qN6nPNHR2TwoEho8RbO/vBwLVztVJ4Y8ck0tvRQxxb00AgE9J5KOvH2MjL3Drqi8ORKcvJ9HYb19/mq9Tr7uPHWC3Lwb+Vc6teffvKjsuTvIVrK99y4/vWju2LsCaxW86R6JveG4NL245zu77dioPMyIELz17qA9fvczPX3Hmr1xhAE9oulBPMEJFL0+SVU8pALRPbH+0Txuzvi8M 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 2ApePfcsKT0rQCQ9VMQZPZgo/7zhmiK7mJqoPJjELz2yGJA9/M0XPVeHOL00H1I9gSaEvW8uSj3PS449H12EvXjvLb0m9cK8a2KNvBDV2TyKbhA9L3E4vLHGEr0g7Wq9Ue/1PEHTuT0984o9POLbu0WZvzxTbWI9FHUmO64ny72CIJo95IJtPL3eej0Yygo9yi7PvY+otLsnEII72WnJPTKCijyqs4k9rfqUO3QuiL22MUI74wawu6ergT0L6v05yMTFvC3muzyu8Nc8xhT2vBdxTrzgmpM9jRrvPKwPkLyso347rKdZvSHRbbyyDac7PzjBPDQ+iTw1I/M8oPOYPARRwz1pYlg78gsXPTvDSL3X2xa9pcejve1OqD2JImg9cJoWPRpKWbkhrnE8dWEJvuD2Nb7eMsE9ycM7vPAmlrz7dNe8UHPhvLTjvb19aYu8iQRlvSdIJLwZH6s8prwJPcNxrb1+Slu70xjIvMDUh731GVS7d3k1vVj7nTxZKga9dGGgvSMaM 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 RTwJIfy9STIRvkHNQr6OirW9sLfRPUyS+bwu+v88TqPivdmOI73ptrK9WWI/vCd9p70dHF+9MBVkvWSbwr3NkP68PadAvT70LzxV+Qm9MaXCvQCVWrwuQ6G9vZkhveFpW71QN7y95uNavR3Rt7tqa5i6rk2MvYQpWD2tiw4+CrbvPfV5e74bQuC8GOArvvLuejuVRgY+GwQHPklOBT4oVh++brt7vd0dZr4OLEk9RwXPPYW9PD3kzH09Ex8JvsSxV73sLEe+mlWkO1gn5TzjJQE+w/3MPWC8P7wT9qI86FxTvfF6ID17D4S8qLczPadYZz25MgA9xs2wOjHkzbspVwQ900c6PTeHE7yJJVo7s2w7PdrrH73fBeq7D3MpPeR1Wr2mWvQ5sZWTu1jTdryKFaI7pIkKvdSMdD01NRg9eFBqPFjKlT1m5nu8QYRbPb2FyTnfb2G84v+aOycONT1uro27AR9mPeH+/7whYTE8tyAavdCH9jxXpvO8zZHtPDiIwbyyeym8M 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 fzxan/A9kFVaPjsW/T0E0c29Dm3SPaheDD3XRYY98Q8rPgxsLj6Llxc+nTC0vd3ZCD7bKCI9QcdPPQ/5/byt0I+97z8oveytCz7+fZ89fSNBPWcXDr01awu9HEJjvA7LpLyaORA9lxugPcJkWTwDMPw89AI3vYE0AD2Kxue7C+udOnjTZD0QQak8fLinvRFYRL3YByK+pHyXvce3ij1X4WK9cHaePKQnVr13DaW9yjMUvvfRKb3Sip49AUg2vt0HmjsYvAC+ofLvvQGNBL5YmJu9hvm0PekskL2MzXM9nowtvS8nXD3jLgU+k7P3PTop8L1VIYm9H8uiva8pErz1+pg9jejTPThHND2nIFu9HGsCvjF92b29CMi8V3eSPf6PtDwFcgM9xzmFvf9BPb0Rf/K9dUe5PdBSKrv/7Qw9LoBrvIB3yTz39o88tq6kPbAdCz02VYO9mD+nvMZPFz1X5Cw9dWFvvW35oz1kjC68TjznvAo1Yb1+Bgs8zatfvBCpxjwKRaE9M wj6Rve5fg7zLcQo926iiOqnSy7vyAZA9OPQ1PGWqgD0Yoa052Mcpvajfij0k2ee76rUlPb1K/7vbpjC9IPePPPOR/7yiNJg8tdz/u0G9qj05fSM9M7+bPUSeTz1sy5c8mhGsPCdXE70/4s+9KRlavXeDDz1F+ag9DVDHvGM6rL0vM868aSWBvU0lKL1qsWI9IrkBPVdU7rtxcoG9M8TXPBE5TzyYBDU7y79+PRm6lT3TtD09u2TJvAzKHr0RT5083op/vTmu1Ls7/ES7NYqqPHmmDbxszHy9ABXuPEydTb0bfxE8c2xPvD19Xj089fO7Aq74PIe5i733Fie99O8NOllQ8TwFrEs9DLeaPTdkZz2xvEw9qa6CvC4tjjxv1GY8KoevPOZru714JUq8kxpJPTKIT7xTkey8ITVTvSGdOL1abtC8hDC4PY+0Jb0wHvM7GRv+O3Xworznpay7yPobvAmvrjxhHvI8ChaovOkfJ70uIwo9Vx2FPcteXb2L5uo6hE0dPX8vM 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 IDOHPGYUlD3HT5w8/ly9PWroFj32RZE6bgxkvdsXh70YGbM4XBSZu1j1QD0NTcg9AfJsPXPnvjz8eUa9lOJovGmk1zxTn6I9kEWSPa1zVD2U9qa9qD95PLJXLL0j9lc9K1DHPXu5Tj0uScE9pmgdPc2mD70UiM69ct5mvW2fPr2bFv47tU7Lvfqv4Tlr6Kq7FIPevbSTNz21X8O7k9p3vF8vuDyvWZK70ESfPOMUY73jc5C8UZtyPT5tDbwvgTc7Jh+MPJ8FvbxyHtW8jC4pvRleRr2sHMC8mavKvDRmoLwwFiM9WNxsPchw/ruoGoY80h5huqlh/TwewmU9vu9BvMPeLD2UqIm93hohPLr2xryuaRM98z4nPYC3Jz1I8IW7nNSXPZ6VBTxqxKw8qGSBve62WTrdTnM9hr1lPQZHjb3eZMy8ufU5PPnnvzuuGye9SO+AvVrCwLyHMxm9qlqdPNB4cDyfhxk99i5cumqFW703Orq8AbX6vGpaw7tLB2e8pNsQPL07M 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 updKPbbMoL3tmLe9c7IDPVy7wL2KWii9swPXPfSthDxyeR6+WHy+vXdwAT36hoC9CMjaPP5yrDotRpc9zghhvVjtyry7b0K+VBsMvkjfEr0lYAi+sF7ZvXFiPL2MTNi9+WYavh3+Tb5XJjy99RYJvqdcGr6yQIk8gpRTvT3PDL4EpQW++LAbPQ8gGL7e2Gq98ajQPTOapD0gnP69PfAsvXiLFb7H6jO9vkRkviMn9T0MUuY9clzXvcIp+L2eR8e9I7uivZKVTr5AhIE8auBkPVDCf71Z8g+93n6zvX66AL7CXiS9YguXvCRI9LwSYcO9iIefvfVkYz2jVMw8MtNIPDgXDrzXBK28C0bgvVD3rb3DOtE8590Kvc8Xm7zjdb29U/Q8vet2yr1cZhm+UyhbPd5gnL0AU768yIcqPRhB9Ls7+J+9b37bvflYkz3e9iY9kS/4Pb89mD0swIm8yuMEPdP5Mr10EiK9JKbdPZ42Gj3J3n+9O8MrPFUTvD2Z5Cq9ehTYO8HLM 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 9u4iu4ZHxDzJ7KY7quAFPMNxbj1Hphw9TqLcPWIItzsZRQk9KvuoveI347wfapK8hvcIPvFM673rPXk7nnwZvd7BwTuRXBy7n4AmPdhW7D2JMoy9rhDDPcfHNbzz0AU7UI2JvCPBwbshPvY8MvYAPOINuzotPzi9MJwPvUNWkbrMLu29wlYovOCcbDzRgim9078hPROZKT3IOAm9DE9JveRCDTulnnE8goXYuuSVHT3a0Ea9xQA+PX2F2bv7RBe9M1PEO4dkxzy1dyk9aponPOsjNjxLLY6940ewvV/tLT08kjc9f74mvaDhnD1ws4Y7x+RkPO3FrL2Guew77CBKPTTucjxNuDA9ftt9PYDSID3Ic6q8TtUAPb6fqL2MWTI9AFOQvLfewzyOM2Y98hJRPczWJ7zMmeE7mmXAvaJ1Njwjo4Y8O3xMPeItib2u7Es95cVIPdu51bwSZLI8YSUgPNv8eD2zfIe9Ig1MPYgvCL3OO5u78yE9PK1p5DvpCWg9gZG2vFV/M 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 3jsKXae7qe8tPTMvGb14JZ86ND4bvZvD1rwihjk8GjslPbiwhb3DotK9PHqePIJUuL3MNxS9YghevdmNm7wIhAM7Z+sJvVrFkr0DwBG9FS9QvGto1Dv3Etm8SU5Lvc7xL7xB4WG8IMcxveXXkTxuveO7wEG8vYioUb1eOOA7+5ckvbryoTx6dbU8fDeVvJqDxLzP35a8OVK0PMrkb73ps568xxN+PedeeLy6+G+9XTTXvGE3Nj2muO68cDhCPG4tEj47biA9JIyivK34Tb2c9J49UIGxvZcZmjzD7a09L3IXu+Cd7b0hGkm9MIKHPfucCr11o6K7/JxQvbLMhrwzDu06Y7ICPaHdlTzx0tO99i1MPXjRBTyfRrM8vKMRvXsADrtocYe9WhpSvUsVl71RE7C8aKjiPO3q6zw0hzM9sxunvXhcBLy9v3K93OILPcnV3DyF5CC9LhgePYjcYbgOncq8+3t8PISd2j31+pE9BiKmPMBvqbu4PA+9K5AKvCyTn73zayU8M hjJZPE6MvTy8OLA9gqMVvVH2lb3vIpK9PPaDvY5rprxvNoS8HpAhPdgaTL1kj3y9oxOnPLTR3zxyriQ7pNNVPUlkCb2eI4i9dDaUPHwjeb3QSPu7uaSmu+esvDzB58I8ytt6vRHQYDyAX4e958hHvG1sIbwZSda7HyGePR3IIDtHLrK6ZKVTPfzqo71+wII8OieoPFLQFjxdUYe9dn25PLBLhzzXw5u9kJ+CvY4vA723zTS8znt9vDZwcrxVWhM8GAhsPaPVkj2gHWe81YfCPX+B67yVzdQ6hHEHvOBngz38Fpc9jS3uPO+QAzz/FTi9DYf3O9gXfzwZ++88dCYNvdb7Yb38mcM86lR4PeeVJTuZOYg97VXNPVNU7DwnHiK94/dPPcFaoz37KUq9+bocvYgmrT1zGy896aFavMhbSzwgMAa9cpXCu4GRpjmmNy885nW2PAcgmD3dmXw8NwlXvbwqHTzhB0w90BS/vZftDr0h5UK9G4wHPcYPaT2+0pc9984ePeOzM J76pZ2S9ETEPPSsoerv44eg8k8OmPa5OST0t68K9GaMvvcO79Dwzvv28eFPKvPrs0T1Qrdg9Ygg2PYCyzjzFPeA9bVvFPJw4ab2X3CI88FXIvcisGr1tQgi8ZfGtPZ9I/jwBHBu9GsAcPDuu9L2gYxi9i+IUPLW5NT3lh7O8Ml3kPCMecDxpkha+0vF3uSWS7TzZ2to8xZouvcLQYz1V25Q8xsehvTURQj0saN48g7/wvMAeG70HAko9J+T7u/etcb1n0ba7RBvvPBbSVDz6PvK7/oBOu1nal7wzKDq9EBuivEJ+Czq7rYG9P1KdvRw9IT6rUBI966sQPizrfj0Wc7y9iPRKvbqKpzzuJPA9xpkVvauhBD03RiW9tt9wO00WyTwwu0C9dveQPfavgr2PDp20vdM+PrrYBT4sbrG9sfg4ul+Mij2ZFx29Il5+vNQ8gT5OAdw9wllZvXPEczxdpsg96lcSvj5ZJb7YcDQ+Mj7oPZkHhbyfoSa81D+7PZLUK74fC769M 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 ARxhPeq+izx82gw98WURvrzqPL25Bdw9KoYQvEKLXT2egee8JvpzPWrsZL0UJda80RciPUWkL72Nptq8PjGEPdN5vbykmic9YYCdvYX/ZL0NZgK+xzmKvThuvz0/dZw939GKPamB+L1v7Ii96n7RvfI2xbwsxLQ9uldQPfV6Az6Cs7e8lr5IvIxRmrxIDDe94vvTPW/teTzsfe89iN78PVjsqzwCg1S8QmPWO6S0VLuMq0g8F7C3PI1EeT3Dvcm7uw97vQDw4rlef7A9yk+BvbKyFD1Na4A9Fy9OPYQUgD0rwhy9EuULvEHfIb1oL0S7f0HJPNqQhz1KjG49vb0FPRHFvr1W2oM8dUMbvtAuaT3oNRU8CjPYPWhJjrxKwLS7jKgRPUwnrL0rclU9jV25vPJlwz0A8by8wrvLvIVtKr20toK9HlgLvaLeyrxoo4Q9Dk6fPQLh+r123sc8gUZ8vabgxr3ZyfE8cPiJPZ3abT3Smsu9PW0QPWVfi73IDIe8z1Fxvaz/M 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 GFo3PZowEb27GFW9I8FFu54GVLzykpM9p82GvGEEU7uTnlY94srgvOAwQDkTT8293TXIvCLGK7w3l/s84Z4wvEWcJDzKyYq8KbW2PMCD+TwxGT89TFyWvGbg9Dx+/6m8K1Tgu49M3ryGYw27i9k6PdsXOTxA1LA8/a5BvXYDdL1pM7m9BIsNvnUngbspBQE9UloWPftooL3PfoM96V55vNAnib090zU7OgpTvMABqTzy2qu9j9trPQth4r1r7E689HHoPIWJsDz68H49apCnvRq0Gz3WT9m95+p7vY6lGzy1ZKc9WPh4PXyLy71/UUg9hum2vN3CHb0pvnS8/7EJPSnFBrwBiZW98tEjPTHrHb0NLrq9EO4BvScSlDvRVjG9gerUvXJE3rtyrdi8FPqaPXCJNj37C8s7m5ikvP2mND1ff5S9stobPSwHFDwwv3A9rMocPECctD2H3Pq8wz/OO1sPiTpfq9e6DN09vFbdi7ygio09UIaEPMjZ37w/uqk99SnJPUtcM oTx+G169T/zHuEti3z3oIbO9u8+IO/yg9jwVPJk9bz6HvFWdhDzdp5k9tZaEvH/HFz0Gd0M92XUnvH9e1DwYMck84y4xvNxewrtdJzc9in61vC0for1o9/G9qnzSvVARoD0dgc09c43sPVXV571HGbK8C9kNvU7Ckr2YuI09yyrZPeWw/D0Xma297o97vZkUYj1EQhO9QibWPU0F5T3XJDc+/b2UvaGdTr1nzng9zbxMPJc0pb1bHbw9YSkvu9Zb8b1pmmq9laYGPu01q72/FwC+0G/FPfmGVj19fJi9d1xJvSXR5j21uVW97SQ/PZA4qTrpP1m8G/lhvFbQhbxytpE9z0WKPTokDDx1b6Q8DMnVu8WUhb19Ds67uthDPUybDzyrp/W8JyioPXgOL73mgiA9w6Uhvb+FtD01g3a9/8snPKUNGrwHoqG9LXjaPE4m+jyFNMq9xqdHvaWN6DsPsCC91+JxveV9ND1fRL+8hAecvQ9jGT1uWbG7qN7FvdBwjr2kAEO9M 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 Hr7Ah+m8lGaNOwzJGrxeXB89f2GLvQmch7yDFZi9EY4gvUG2fb3ZdqW9juwdvRdssbxY2uU63ViVO8Bbnzw3+xW8ojysvHrqqr2gDtC80Vmdu3AWDb3eW5+839cWvDsDdr0be4Q69X8NvWYVAL3obDK9IsZ5PKqviDwQ9iS9IZ6FPMvCmDzEpqG9u9LiPC39vD2zlFc9lWaEPOyDh72ROn89UxxrvVnObjvrYiQ9wwOoPC4dPL0OMlO9TqK0PcmFPbk275m9POxvPWZRRLz1hhw7GFlAva3jsz0D1GW9Oe4PvYTUpT1v8Ag95yJ1va750r3TIvI8v0Fdu8hf9bwhxpM9jg4KPaCL77t86Wi97Tl6PPW6Kb3hCsE7Ou6aPI3uYzvzoBm9nlOoOi4ZCr1bxRC9HucwPaQATT3dxBs9ZaYrvagzgb2jf6m8YHp8PMbjP7zPHR69wtQTvcDMGL1Wloe8xUEYvff1X7y/boW9RNv/PAwXPb25MSe9YjpRPT7wMLvhJJ+7M 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 eDyxPZSgCzoVGRi+y4Y1vYKmnTw54JW8cOBju4r7eru1+Ai8wlq9vHoiQj1scEU9rz1TO15X2b3X9Mk92yjHvTcPGL5TCpu9ZngWPXH0qzlHhK69R+aaPPMA173CBgK+3/TDPKlynD0VsGO9Y0J+vYZRXT3sRQi+RVJYvX73jT0hb4m70uUZPbPExr2GgQ89Tbg9O9yKw71I1wc8btjjvCRL6DvUnZW8sxK7vVE25r3Lp9K911f/Oyx+Iz0fCmK9VvTXvQ0+Nj3ZxwS+CDgyvX6Eaj05RbC70AMivKEn0bxv6dy8p1oQvYkem72l67292QEgvqYBfrzvCso6um6UvSA1d7277gK+JeTovHCBKT3Xhg+7Wl/mvSlCtDyS4bm9FHffPFS5iT1kT6g6PqDLvFis17zBc/A8t097PU32n7zjibC9tXr7vUaaMbymZ2O5lfd5vcakNjw38hG+9M0WPRI/sLxfc328pY3yvEMczz09/oq9OhU6Pd3/jLzC7kw9y2t3vZ/jM 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 EdivvArV67y1hg88VJznPbLWLD2eMyS+60zHvf2uLT0Jb7i9Y2iQPR/DJT3hBN48rTFIvadEFb0VpnM9fUsHvXkvvL2d3vs9O+xTuzc2JL5KzO29LrvaPVD8ST0YCMO96WuhPQPtPD0H9/29xACyvUJxBD5C3ZK9Hw93vZ5K6jwsXkI9shkJvpGzeL3QPg8+FpAOPHwWAb5Kysw9kjpavUTHAr6niim+r3ZVPmq6T7veFK69zYccPjmlr7wWXFO9vmGPvdd8Iz7D1+m8Im6HPVp0PTzwqTQ7FNUCvn7yx7sx9iM+NmU8PH0bqb3kqY09ioi/vL0UXL7m/f+9JJFQPYdYWr3OeUK9ZlmoPUOYerxLe8u9IiMJvpH7gz0OsI69cKTVPEaL6zzSXqy7uujZvYpzML33B+o9flGHPMP7zb1vdxY9xJ+JvBLgWL6D2aq9EHmcPdhA4byUR6+9KbjUPWH0DL0WFCS++g7HvQ1rCD056A++b8qsPTZj3zwcTZs8fF/WvULSM 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 BT32Dou9Ui6+PBbcrDzzcYs8WQFOPSNxsLvmOg295CE3PcwNBbxRe1g96N1Qu5ODhzynCLe9AwkFPEzE0r3Q5XC8WhAgPOxdNT22OVA818f4vBkly7sS7fm7RvzfvNG7DL1Y75y8XmOcvL7EcTwi8Bi9lv4JvLxjAj2CBII8b3hNvSFzTDzB1eO8Glj6vEtgBb3mJBW9AjXqvOeHSb30k0y8HOcCvVaFFbxY0dW8o3I8PTBp+rxVbio9fVj5vF2kDj1IBsS95RkvPWDeK7pL3aY9A9OOvZjTKL20uzE9CGz2OygOjb2vwBy8FR4EPXtLJb30AJE9PNviu6uwX72uKKG9GrYWPW0sRbuIX2+9B73XPLAoIj3mBRe9tOepvALk2z1MonU9Mi3GveDUMrzUfd68VfZYvR9UH71LFLS897gAvbN79rwjScg8WfcLvZxggrqwKZW896kcPWluOL0AuTC9KBaJO+RB7DslzYi9Rtq1vDQhkj0w9JO72zaBvTlkh71VICi8M 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 hUeuunbZbL1ddf6+1Xf3PftWxL3QaL89OqOiPcr4Xb9bOOU+7Q9WvgMA3z6OEjm+ljoAP3IsaD7Jpb89nZUlvhl8JT442wM/ss7iPhc32j7xzaO8jGbDvt79lb68tgQ//gTkPlOwfT48DJ0+n4AtPpKmx76D3ES/zyUjPuzNKr+ozzi+hQ1SP7svIb/VbZE+jW7pPiNaIT+NO86+l4bavR8NSb+cuAo//5QDv/dolr4VKzq+h103vqiIY71cv+m+/bu2vgTpob7CKCc+CK/2PXHAQ79Rf/U+hYlLPtaLd79SNfa+QxasPlZFrz6HGqo+wumPvkloAL9vIAG+BhC0voZX6j4Febs+Qu0LPiiSXb4kqOK+wDZSv42+Bj9Yztq+9oqxvkVL5T6LpeQ79XspvxNmuL48gOM+8c/yPuuTIr4nqwe//COWvv9toT2DLc8+psXXPt0HLz4A2BM/aLC9vrOCf70VeJU+ZpqdPseQdb3V1ic9o0a8Pl7NAT+xWYo+AFORvgB4M 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 ", "training_traits": {"structure_gen": "Triangle", "n_layers": 6, "max_nodes": 7, "activation_func": "Tanh", "epoch_num": 6}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+M 1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updateAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRM atio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this.stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLM ength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputDim:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)}draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),M e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}getEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.creaM teLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){const n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*M i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>M r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a.x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;fM or(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.fill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.beziM erVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertexM (478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6),e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?M (l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,M 117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVM ertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezM ierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezieM rVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.M 4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250M .7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2)M ,e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,144.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),M e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.M bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.399,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierM Vertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.399,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,M 83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(2M 43.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.99),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVeM rtex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVertex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,46M 1,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,25M 7.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170.7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.M 4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256.8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,31M 1.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,M 183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,29M 1.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,398.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(M 450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezierVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bM ezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.M 599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236M .8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVertex(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2)M ,e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),eM .bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305.9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.verM tex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,M 364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezierVertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,33M 4.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVertex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,4M 30.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.vertex(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299M ,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.499,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),eM .bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,437),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<eM .length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for(let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";iM f(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,this.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));M static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H.__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G(M [t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)=>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=M 0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.mM ap((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(100*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.mM in(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.push(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}M }function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.unM its],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop();return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}cM lass K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offsetTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.M y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:this.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",M r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}else this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("heigM ht",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\M d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}mouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._M events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t),ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.FM ile&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1),ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offM setWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,M 255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,this.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.docM umentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//.test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemM ove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="210";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,Ne,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fnM =!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bnM =!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"M ],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],["#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e5M 3","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e72020","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=M ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=Pe&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;M ++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const[t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,M height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeRM esultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveCanvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,M Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le),zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,suM bmitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.textSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activM ation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wrM (Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual.pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];fM or(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[M e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,M at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,M t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.puM sh(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`PerceptrM on #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;M Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15M ,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]M ),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fiM ll(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width/2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENM TER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.strokeWeight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||M un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,M i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginShape(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e)M ;for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belM ongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100*le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),examM ple=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").length){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,eM ),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,height/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s stable and it has reached peak performance.`:3==Pe&&(M r=`Your Perceptron is ${Math.ceil(Mt)} years old. It s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/M 2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=[],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",M [f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e++)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+rM /2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+heigM ht-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-285*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 DaM y":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+heiM ght-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le)M ,Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(widtM h/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",width/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){letM t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);return r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.draM wingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mouseX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/M 2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),Ue.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){retuM rn null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. MyM recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my rM ecognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(oM ="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012M ",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["HM uman",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["D Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"ActM ivation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwareAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTL zmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b48dba8aceaa211","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script> ~zTXtRaw profile type exif ~zTXtRaw profile type exif ~zTXtRaw profile type exif text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 text/plain;charset=utf-8 {"p": "brc-20", "op": "transfer"