File: blk03535.txt

Mined by AntPool970`
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"789.unisat"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"8888888.unisat"}h!
text/plain;charset=utf-8
{"type":"btcdomain","name":"hammam.btc","first_owner":"bc1pm7a7p3tdmd5kh9ytj2zamsd37kmsrt7p70fha6022hcl9nc0seqsux3u28","createDate":1681153106203,"registerDate":1681153106203,"expireDate":1838833106203,"img_url":"https://btcdomains.io/images/domain/hammam.jpeg","sig":"30440220302ea39f88025b338aee7e4aaf18778a72fc7e809cec98c9d8e9ba0e3d9257aa02204e2194bad2f0853c232729e393a44e604a9d2ba5e32984bf11f047c21dcb1c65"}h!
4d/Foundry USA Pool #dropgold/
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"89999.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"56789.unisat"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"9999999.unisat"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"6666666.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8888.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"2518.unisat"}h!
CjA=:ETH.ETH:0x8E06A710BE10df0f75F93860402cfA61D0c54b65:4809662:te:0
text/plain;charset=utf-8
{"type":"btcdomain","name":"abdullah.btc","first_owner":"bc1pdq5pyh6d8c6xlmm7m9kaqkzg05g4nktuhz9rqy3f04m0qm7fpc0secpzxd","createDate":1681153565196,"registerDate":1681153565196,"expireDate":1838833565196,"img_url":"https://btcdomains.io/images/domain/abdullah.jpeg","sig":"30440220012abe50cf5357b0ebcbce86d94fe8e3c08d760d2d68727e23df9e884baad36202201a22ca432420e67090281d0ce2df7b3785131e0f266e0fc8bcef141fe2a3da27"}h!
text/plain;charset=utf-8
Lf{"p":"orditalk.org","op":"create_user","name":"skippywalks","profile_picture_inscription_id":"157694"}h!
Aj?=:ETH.ETH:0x0D5D882D06f5F97334AEA49A2f7B5CacFC644da0:2986437::0
KjI=:BNB.BUSD-BD1:bnb12e4hyeaprtxm72gxmmvemjfl82kaatygx78d6k:9842841930:te:0
Bj@=:ETH.ETH:0x589a3f53f88cAf5E2942770a0cdA1e5bbFf9d61B:16554088::0
Bj@=:ETH.ETH:0x00529080880E70e10ca780c4415DA0661fC2BC63:15549591::0
Bj@=:ETH.ETH:0x3CfE727aeF2BD7aA47b53d3De0adEa9469eA5304:34741590::0
Bj@=:ETH.ETH:0x649c5B7827bA03b3eBc1FE7F2407dB8E3637BB0d:49609769::0
LjJ=:BNB.BUSD-BD1:bnb1ug3r820xel2q6sh07t5gpfcrslmg2gyhfklnrk:99939778418:te:0
MjK=:BNB.BUSD-BD1:bnb1rxvqdggstk5g8qlsqafa4axl7pf2nrkhchydt9:602811534308:te:0
MjK=:BNB.BUSD-BD1:bnb1nmt6g7pm66kd9neny06lcyksm3m2ax5gwvd7kz:258786964538:te:0
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"piggy.unisat"}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 3930503076814</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 3930503076814   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 3930503076912</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 3930503076912   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 3930503080611</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 3930503080611   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!
'iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.14ecb42f2c, 2023/01/13-12:25:44        "> <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:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#" xmp:CreaM
torTool="Adobe Photoshop 24.2 (Windows)" xmpMM:InstanceID="xmp.iid:E3B32E4ED7BC11EDA431D87511CA7642" xmpMM:DocumentID="xmp.did:E3B32E4FD7BC11EDA431D87511CA7642"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:E3B32E4CD7BC11EDA431D87511CA7642" stRef:documentID="xmp.did:E3B32E4DD7BC11EDA431D87511CA7642"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>4
((((((((((((((((((((((((((((((((((((((((((((((((((
text/plain;charset=utf-8
<?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 3930503079148</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 3930503079148   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!
CjA=:ETH.ETH:0x44CdFfe2415b44FEDFe419dc9f649c19bCE15583:2392432:te:0
FjDOUT:8A1429E9660BE23056BE5892C2D5712B45824013A66F4EDA51C92E1A086F230C
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6122.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"18888.unisat"}h!
IjGREFUND:97D7482A8D1C0DBB57F28D05405FC2DE9CCE2A582E280548841E25334AAC8845
Bj@=:BNB.BNB:bnb103ct3fgzwmgs3yvs2sv5s6wuemwdrqqg9jqmc5:14380346::0
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9989.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"0420.unisat"}h!
text/plain;charset=utf-8
{"type":"btcdomain","name":"khalid.btc","first_owner":"bc1pjh97cwsewgk6dyhrwaauk0ymnxdz6fxpemtt7xeu9e26zkps57qqujy59u","createDate":1681153778596,"registerDate":1681153778596,"expireDate":1838833778596,"img_url":"https://btcdomains.io/images/domain/khalid.jpeg","sig":"3045022100c66d4e319049e311d9ea730c1e324faff46809528051a150d336d7af5b2cc5c802206c3a756157317400010d636a934024eb9cf3893bc14b64842c1d829061f86161"}h!
DjB=:BNB.BNB:bnb1t9t4gwtr8z5dm763et2zpr9d5lgnp2qywjapag:17324344:te:0
Bj@=:ETH.ETH:0x9D315FD86d25082B13a3744A6840F36E236d89d9:11473373::0
EjC=:BNB.BNB:bnb1vvj4n3hy7japl40lpvvg2kwg3al83laee4myrm:152373662:te:0
text/plain;charset=utf-8
LR{"p":"orditalk.org","op":"share","post_inscription_number":"1013228","content":""}h!
text/plain;charset=utf-8
D{"p":"orditalk.org","op":"like","post_inscription_number":"1058470"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"delhi.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"cairo.unisat"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"bangkok.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"seoul.unisat"}h!
KjI=:BNB.BUSD-BD1:bnb1cwmayajnqxztnnaf9aj7rq5dra2r484ja027x6:185477935151::0
EjC=:BNB.BNB:bnb105clfhm5kdlmkgcp0g75djdj7e9drrvkvw6s0c:353575246:te:0
CjA=:ETH.ETH:0x942840e5EB4183216bD32e8a614082574d15B517:3799483:te:0
Aj?=:ETH.ETH:0x8fA837783c0F48cF54aDdFb8A9C92C9e5e5525a8:3920609::0
DjB=:ETH.ETH:0xC2F6025ce53f9B59DF9e0d0f561eA7a05B716515:58585272:te:0
Bj@=:BNB.BNB:bnb106ag4jluw06lqws0gdas26zdtgtqa4ctfma6an:18779094::0
Bj@=:BNB.BNB:bnb1p3xgzy4mc7trtyqul4fd4hdjy05rlg2ev4sezf:33523768::0
CjA=:ETH.ETH:0x8C2E90f2eEf9881569371ABb4aDe4102c2ac29eB:101192548::0
DjB=:ETH.ETH:0xdE10049cC62b50d2ffb2619979dB5a0152d75841:17869508:te:0
 666c001f0342f70a8e1f06ebb2ab24c4G0D
text/plain;charset=utf-8
text/plain;charset=utf-8
Lf{"p":"orditalk.org","op":"create_user","name":"skippywalks","profile_picture_inscription_id":"157694"}h!
KjI=:BNB.BUSD-BD1:bnb10uu7mct942v7eg5nqhlv29xw0rdk55gm9v8cl6:205655154402::0
FjD=:ETH.ETH:0x2d8d5c27ce74b0bbe660cacb1951f88c64105843:1522827391:rg:0
CjA=:ETH.ETH:0xd055fFe049C6ebb2a2bc5dE0Bc24cD0e34CD25F8:3888633:te:0
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"2616.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"2717.unisat"}h!
FjDOUT:8317D9EBC5F2DF19FB0478AA7EAC5CA2E3E5C2E0C4BD7D3ADD459F1882DC76DB
DjB=:ETH.ETH:0x4fd547fA6dd7d671ebe20153557C98754b95fF26:73702287:te:0
CjA=:ETH.ETH:0xB3c6613FF16bBC426074eF82f8f2873A31FC3DEf:1272044:te:0
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"MiNT","amt":"1"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6566.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7877.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7707.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6466.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6676.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6686.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7977.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6636.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7277.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7377.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6266.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7477.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7577.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6166.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8848.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6646.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7797.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7177.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7757.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8858.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7717.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6696.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7677.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6616.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8828.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7727.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6766.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6066.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7077.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7767.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8188.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6366.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9299.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6866.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7737.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7747.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6626.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7787.unisat"}h!
text/plain;charset=utf-8
8{"p":"brc-20","op":"mint","tick":"Toki","amt":"5000000"}h!
 0703780a07149d0d952d1e69cb9600acH0E
CjA=:ETH.ETH:0xdeB3817E226b8fBC5bCD38318d44ffde9A778b36:4861745:te:0
CjA=:ETH.ETH:0xE442eA63b643F8cB5377301364A478D267680e66:1699422:te:0
CjA=:ETH.ETH:0x19D14669756b8aFA4a4fCbcBCca27000AD08ad19:2068988:te:0
CjA=:ETH.ETH:0x6BcDE8Fb5e46aa98B802a84d7983A9971974f321:4237722: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/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"?>
A limited collection featuring Lil
 t which is the artist
tation of thought. Made with hand painted features and monoprints for backgrounds.
Hhttps://cdn.generative.xyz/upload/1681177014570702405-1681177014-102.png
DjB=:ETH.ETH:0x12E36A2d7D9b96dDb0609B53cDBc67435C42681d:17271400:te:0
DjB=:ETH.ETH:0xdaD0c8C523D286EDaCB072f2673788521d45F3B1:25727034:te:0
MjK=:BNB.BUSD-BD1:bnb1c0k9fm5dqre0hgvtqevv859weqz8tkuj43jyhq:473585209822: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
CjA=:ETH.ETH:0xC0644F2ede1E9604FFa46B50B37F57EfC89d87C8:4152846:te:0
CjA=:ETH.ETH:0x8335A79929AD9fC43Baa249dFa040B38C36Af32B:1823290:te:0
CjA=:ETH.ETH:0x0f01e33A82eCB3EA8207D3BB82cad9e72f952FB6:5576168:te:0
CjA=:ETH.ETH:0x85E4FDD154f8434550682dE8558948A92393Ead4:5382726:te:0
EjC=:BNB.BNB:bnb1j5uxs7y6rq828qnv5kdasr7u9me47xhyg9yhe4:116065710:te:0
4d/Foundry USA Pool #dropgold/
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"20000.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"90000.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"30000.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"70000.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"60000.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"40000.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"50000.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9122.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6286.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6296.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6326.unisat"}h!
text/plain;charset=utf-8
0{"p":"sns","op":"reg","name":"
text/plain;charset=utf-8
3{"p":"sns","op":"reg","name":"
text/plain;charset=utf-8
0{"p":"sns","op":"reg","name":"
text/plain;charset=utf-8
0{"p":"sns","op":"reg","name":"
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"
CjA=:ETH.ETH:0x06c5aDBA450a602b370A61DE0eCe41A949550E93:6544764:te:0
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
{"name":"HashKey Digital Asset Group Limited","symbol":"HKW3F2023","uri":"https://bafybeibaninkhr7lsnyhk6jrtct5vjr5725xkhvbrmcmd7qodyb4ix3iam.ipfs.dweb.link","hashrate":{"hw":"CPU-ARM Cortex A9","date":"2009-Jan-3","efficiency":"877193 j/Th"}}h!
iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 6.0-c002 79.164460, 2020/05/12-16:04:17        "> <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/1M
.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="2023-04-08T21:32:45+02:00" xmp:MetadataDate="2023-04-08T21:32:45+02:00" dc:format="image/png" photoshop:ColorMode="3" photoshop:ICCProfile="sRGB IEC61966-2.1" xmpMM:InstanceID="xmp.iid:41aaa5f7-45bd-d248-84ca-7e4d37aaa662" xmpMM:DocumentID="adobe:docid:photoshop:16d92b1a-d290-6749-9ae6-ef5e81e2b78d" xmpMM:OriginalDocumentID="xmp.did:8b05b4M
74-2032-014c-baeb-d7f687c78db6"> <photoshop:DocumentAncestors> <rdf:Bag> <rdf:li>adobe:docid:photoshop:a9980e5d-12d4-6e4f-ae17-4020b81aaaa9</rdf:li> </rdf:Bag> </photoshop:DocumentAncestors> <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 stM
Evt: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:li stEvt:action="saved" stEvt:instanceID="xmp.iid:41aaa5f7-45bd-d248-84ca-7e4d37aaa662" stEvt:when="2023-04-08T21:32:45+02:00" stEvt:softwareAgent="Adobe Photoshop 21.2 (Windows)" stEvt:changed="/"/> </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
,{"p":"sns","op":"reg","name":"payme.unisat"}h!
text/plain;charset=utf-8
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"pokemon.unisat"}h!
%&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz
HIJSTUVWXYZcdefghijstuvwxyz
LjJ=:BNB.BUSD-BD1:bnb1q5hghtls55qc2spwq3mlrp3xzt877hqs8tkpmm:68417653983:te:0
LjJ=:BNB.BUSD-BD1:bnb16wvv6wy9aa3rcfdxns8ch5zk08evq5hsm7kgsv:70096438845:te:0
LjJ=:BNB.BUSD-BD1:bnb13m953r7ldcp7sld9gkrxclkttlpa2w2wj0qn29:71935469810:te:0
MjK=:BNB.BUSD-BD1:bnb1dnx3lkmcnuk03phsu3nm7lccartdca6a6t3nzd:347273656650: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
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
 903f6bc4dabf441a9c88f5cb70a033f0G0D
 dfd60bd57fc93392a35740b9ee53536eH0E
 bf44d522f37a9d7144dcd3bdb4f4f03aH0E
6j4ion:3.Qmbfo63HHezhTK1qynF5PX3n8Vbhd1NsTNSxW6DCGG1keRL
Bj@=:ETH.ETH:0xA415C553bBDfb3269713537ebEEf205A124E5522:41902892::0
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"58888.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"98888.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"78888.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"68888.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"0021.unisat"}h!
FjDOUT:3CE5A3C1C5E59591A9CE19CD5209AE522B5026A5AB5B4A3A81A0D65DFF12E59A
text/plain;charset=utf-8
E{"p":"brc-20","op":"deploy","tick":"
","max":"777000","lim":"777"}h!
Aj?=:ETH.ETH:0xCA5252b9C0F368142707726605d9f6C8d19f2666:4185090::0
IjGREFUND:751857F7821D72FA42DCD44E98F9C726BB1549983E1E69405D6729EFB08C4C7A
text/plain;charset=utf-8
G{"p":"brc-20","op":"deploy","tick":"
","max":"21000000","lim":"100"}h!
LjJ=:BNB.BUSD-BD1:bnb156m23ldjzwlyqzlfrnzhj244ghzeprrz6nu9lt:28791074397:te:0
FjDOUT:1D95BFD914BAF85B18B134D48384080B99CC88A721CCB22A2A4C38788E2E3A1A
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"kenny.unisat"}h!
text/plain;charset=utf-8
/{"p":"sns","op":"reg","name":"undrgrnd.unisat"}h!
text/plain;charset=utf-8
2{"p":"sns","op":"reg","name":"metacollect.unisat"}h!
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
{"type":"btcdomain","name":"pumpit.btc","first_owner":"bc1pwzfc8rlrfa5xgf8pafs403njn3x3hnamhw7uk2kmf86dpytsve5sznn6t3","createDate":1681154555275,"registerDate":1681154555275,"expireDate":1838834555275,"img_url":"https://btcdomains.io/images/domain/pumpit.jpeg","sig":"3045022100fa7043585775a57ce77b97bc7667c84c44167e15ffcc5032fc0a7f31b1bd6a74022044720bac2ccd53603760e8e5ba1c4d133509db9584924aa8156470f1bb43fbd6"}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
!22222222222222222222222222222222222222222222222222
%&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz
&'()*56789:CDEFGHIJSTUVWXYM
 2790a6f893c3e036b61d77a62860902cG0D
text/plain;charset=utf-8
D{"p":"orditalk.org","op":"like","post_inscription_number":"1064098"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"nba.unisat"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"nbc.unisat"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"way.unisat"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"nfl.unisat"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"cbs.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"your.unisat"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"MLB.unisat"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"bbc.unisat"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"nhl.unisat"}h!
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
3{"p":"sns","op":"reg","name":"davidbeckham.unisat"}h!
text/plain;charset=utf-8
7{"p":"brc-20","op":"transfer","tick":"meme","amt":"30"}h!
text/plain;charset=utf-8
7{"p":"sns","op":"reg","name":"cristianoronaldo.unisat"}h!
text/plain;charset=utf-8
2{"p":"sns","op":"reg","name":"lebronjames.unisat"}h!
text/plain;charset=utf-8
text/plain;charset=utf-8
1{"p":"sns","op":"reg","name":"tigerwoods.unisat"}h!
text/plain;charset=utf-8
5{"p":"sns","op":"reg","name":"serenawilliams.unisat"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"neymar.unisat"}h!
text/plain;charset=utf-8
4{"p":"sns","op":"reg","name":"michaeljordan.unisat"}h!
text/plain;charset=utf-8
2{"p":"sns","op":"reg","name":"lionelmessi.unisat"}h!
4d/Foundry USA Pool #dropgold/
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9897.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"0409.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"2035.unisat"}h!
FjDOUT:CB066AF74189E8C0C4E56D13CEE275EE645FFD568B1C14D9EBF764821D5EC9DF
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
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
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
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
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
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
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
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
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
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
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
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
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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
 188ea6513557517ae4e4e46e61f1a6a2G0D
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"0420.unisat"}h!
text/plain;charset=utf-8
3{"p":"sns","op":"reg","name":"DeniAbimanyu.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
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
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
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
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
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
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}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
'iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#" xmp:CreaM
torTool="Adobe Photoshop 24.3 (Windows)" xmpMM:InstanceID="xmp.iid:4967BB8ED73811EDB91FC0E081A541A5" xmpMM:DocumentID="xmp.did:4967BB8FD73811EDB91FC0E081A541A5"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:4967BB8CD73811EDB91FC0E081A541A5" stRef:documentID="xmp.did:4967BB8DD73811EDB91FC0E081A541A5"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>OE
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/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=:AVAX.AVAX:0xdbc320A510BcF1a8368ca38fC3ad773e259ceD26::0xbami:25
'iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#" xmp:CreaM
torTool="Adobe Photoshop 24.3 (Windows)" xmpMM:InstanceID="xmp.iid:7ECC76D2D73811EDAF3C94ADCD8C4692" xmpMM:DocumentID="xmp.did:7ECC76D3D73811EDAF3C94ADCD8C4692"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:7ECC76D0D73811EDAF3C94ADCD8C4692" stRef:documentID="xmp.did:7ECC76D1D73811EDAF3C94ADCD8C4692"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>8W
'iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#" xmp:CreaM
torTool="Adobe Photoshop 24.3 (Windows)" xmpMM:InstanceID="xmp.iid:9452D60DD73811ED9CB3B594DAFBA38E" xmpMM:DocumentID="xmp.did:9452D60ED73811ED9CB3B594DAFBA38E"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:9452D60BD73811ED9CB3B594DAFBA38E" stRef:documentID="xmp.did:9452D60CD73811ED9CB3B594DAFBA38E"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>s
iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:OrM
iginalDocumentID="xmp.did:b432a331-b795-ce4c-bee5-08f43cc81038" xmpMM:DocumentID="xmp.did:3A1501AED73A11EDA9A8FD7E62E76DDB" xmpMM:InstanceID="xmp.iid:3A1501ADD73A11EDA9A8FD7E62E76DDB" xmp:CreatorTool="Adobe Photoshop 21.2 (Windows)"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:b55f72cd-5935-e74f-80df-4718c9cea77d" stRef:documentID="adobe:docid:photoshop:bf70f6ea-a398-5747-97ca-51de5b86ca8d"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>
iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:OrM
iginalDocumentID="xmp.did:b432a331-b795-ce4c-bee5-08f43cc81038" xmpMM:DocumentID="xmp.did:6B922384D73711EDB71DBE0EDF013FB9" xmpMM:InstanceID="xmp.iid:6B922383D73711EDB71DBE0EDF013FB9" xmp:CreatorTool="Adobe Photoshop 21.2 (Windows)"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:b55f72cd-5935-e74f-80df-4718c9cea77d" stRef:documentID="adobe:docid:photoshop:bf70f6ea-a398-5747-97ca-51de5b86ca8d"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>
iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:OrM
iginalDocumentID="xmp.did:b432a331-b795-ce4c-bee5-08f43cc81038" xmpMM:DocumentID="xmp.did:410683C8D73711EDAFACA63880BEB160" xmpMM:InstanceID="xmp.iid:410683C7D73711EDAFACA63880BEB160" xmp:CreatorTool="Adobe Photoshop 21.2 (Windows)"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:b55f72cd-5935-e74f-80df-4718c9cea77d" stRef:documentID="adobe:docid:photoshop:bf70f6ea-a398-5747-97ca-51de5b86ca8d"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>VBO
'iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#" xmp:CreaM
torTool="Adobe Photoshop 24.3 (Windows)" xmpMM:InstanceID="xmp.iid:5DBF771BD73911EDB279F9F3A0C1A3D2" xmpMM:DocumentID="xmp.did:5DBF771CD73911EDB279F9F3A0C1A3D2"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:5DBF7719D73911EDB279F9F3A0C1A3D2" stRef:documentID="xmp.did:5DBF771AD73911EDB279F9F3A0C1A3D2"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?><
v[[[llnffhhhjqqsooqaacYYYaaa```ggi^^^ddfrrt
QWWWbbbXXXjjlssunnp_
vPPSDDGMMP@@COORFFIRRU
iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:OrM
iginalDocumentID="xmp.did:b432a331-b795-ce4c-bee5-08f43cc81038" xmpMM:DocumentID="xmp.did:AEA75100D73A11ED87C79EF39BEC810C" xmpMM:InstanceID="xmp.iid:AEA750FFD73A11ED87C79EF39BEC810C" xmp:CreatorTool="Adobe Photoshop 21.2 (Windows)"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:b55f72cd-5935-e74f-80df-4718c9cea77d" stRef:documentID="adobe:docid:photoshop:bf70f6ea-a398-5747-97ca-51de5b86ca8d"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>
'iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#" xmp:CreaM
torTool="Adobe Photoshop 24.3 (Windows)" xmpMM:InstanceID="xmp.iid:D5F5A15FD73611EDA1DEB8A3BBA6349C" xmpMM:DocumentID="xmp.did:D5F5A160D73611EDA1DEB8A3BBA6349C"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:D5F5A15DD73611EDA1DEB8A3BBA6349C" stRef:documentID="xmp.did:D5F5A15ED73611EDA1DEB8A3BBA6349C"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>
'iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#" xmp:CreaM
torTool="Adobe Photoshop 24.3 (Windows)" xmpMM:InstanceID="xmp.iid:3B88D75FD73911ED8A3D93C89D16DFB9" xmpMM:DocumentID="xmp.did:3B88D760D73911ED8A3D93C89D16DFB9"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:3B88D75DD73911ED8A3D93C89D16DFB9" stRef:documentID="xmp.did:3B88D75ED73911ED8A3D93C89D16DFB9"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>
iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:OrM
iginalDocumentID="xmp.did:b432a331-b795-ce4c-bee5-08f43cc81038" xmpMM:DocumentID="xmp.did:D99FE6A0D73911ED954BD4E25ABC586C" xmpMM:InstanceID="xmp.iid:D99FE69FD73911ED954BD4E25ABC586C" xmp:CreatorTool="Adobe Photoshop 21.2 (Windows)"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:b55f72cd-5935-e74f-80df-4718c9cea77d" stRef:documentID="adobe:docid:photoshop:bf70f6ea-a398-5747-97ca-51de5b86ca8d"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>
'iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#" xmp:CreaM
torTool="Adobe Photoshop 24.3 (Windows)" xmpMM:InstanceID="xmp.iid:7FFEFBCBD73911EDB653818F44FADD7D" xmpMM:DocumentID="xmp.did:7FFEFBCCD73911EDB653818F44FADD7D"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:7FFEFBC9D73911EDB653818F44FADD7D" stRef:documentID="xmp.did:7FFEFBCAD73911EDB653818F44FADD7D"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>
iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:OrM
iginalDocumentID="xmp.did:b432a331-b795-ce4c-bee5-08f43cc81038" xmpMM:DocumentID="xmp.did:50916CB8D73811EDA9ADA2C7E0CCAC26" xmpMM:InstanceID="xmp.iid:50916CB7D73811EDA9ADA2C7E0CCAC26" xmp:CreatorTool="Adobe Photoshop 21.2 (Windows)"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:b55f72cd-5935-e74f-80df-4718c9cea77d" stRef:documentID="adobe:docid:photoshop:bf70f6ea-a398-5747-97ca-51de5b86ca8d"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>
iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:OrM
iginalDocumentID="xmp.did:b432a331-b795-ce4c-bee5-08f43cc81038" xmpMM:DocumentID="xmp.did:A12EC74DD73711ED850BB38833793190" xmpMM:InstanceID="xmp.iid:A12EC74CD73711ED850BB38833793190" xmp:CreatorTool="Adobe Photoshop 21.2 (Windows)"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:b55f72cd-5935-e74f-80df-4718c9cea77d" stRef:documentID="adobe:docid:photoshop:bf70f6ea-a398-5747-97ca-51de5b86ca8d"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>
'iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#" xmp:CreaM
torTool="Adobe Photoshop 24.3 (Windows)" xmpMM:InstanceID="xmp.iid:8B1D50D9D73811ED9FA2E045E23EB7F4" xmpMM:DocumentID="xmp.did:8B1D50DAD73811ED9FA2E045E23EB7F4"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:8B1D50D7D73811ED9FA2E045E23EB7F4" stRef:documentID="xmp.did:8B1D50D8D73811ED9FA2E045E23EB7F4"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>Q
iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:OrM
iginalDocumentID="xmp.did:b432a331-b795-ce4c-bee5-08f43cc81038" xmpMM:DocumentID="xmp.did:172582DDD73811ED89C3F682493A0AA0" xmpMM:InstanceID="xmp.iid:172582DCD73811ED89C3F682493A0AA0" xmp:CreatorTool="Adobe Photoshop 21.2 (Windows)"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:b55f72cd-5935-e74f-80df-4718c9cea77d" stRef:documentID="adobe:docid:photoshop:bf70f6ea-a398-5747-97ca-51de5b86ca8d"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>BZT
'iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#" xmp:CreaM
torTool="Adobe Photoshop 24.3 (Windows)" xmpMM:InstanceID="xmp.iid:BBB4D3ECD73611EDA6F2EDD0CBF4376C" xmpMM:DocumentID="xmp.did:BBB4D3EDD73611EDA6F2EDD0CBF4376C"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:BBB4D3EAD73611EDA6F2EDD0CBF4376C" stRef:documentID="xmp.did:BBB4D3EBD73611EDA6F2EDD0CBF4376C"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>
iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:OrM
iginalDocumentID="xmp.did:b432a331-b795-ce4c-bee5-08f43cc81038" xmpMM:DocumentID="xmp.did:01562ED8D73811EDA73DEC8343F9DC72" xmpMM:InstanceID="xmp.iid:01562ED7D73811EDA73DEC8343F9DC72" xmp:CreatorTool="Adobe Photoshop 21.2 (Windows)"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:b55f72cd-5935-e74f-80df-4718c9cea77d" stRef:documentID="adobe:docid:photoshop:bf70f6ea-a398-5747-97ca-51de5b86ca8d"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>6
iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:OrM
iginalDocumentID="xmp.did:b432a331-b795-ce4c-bee5-08f43cc81038" xmpMM:DocumentID="xmp.did:B9BA307ED73A11ED96E9AA3452B9D57D" xmpMM:InstanceID="xmp.iid:B9BA307DD73A11ED96E9AA3452B9D57D" xmp:CreatorTool="Adobe Photoshop 21.2 (Windows)"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:b55f72cd-5935-e74f-80df-4718c9cea77d" stRef:documentID="adobe:docid:photoshop:bf70f6ea-a398-5747-97ca-51de5b86ca8d"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>
'iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#" xmp:CreaM
torTool="Adobe Photoshop 24.3 (Windows)" xmpMM:InstanceID="xmp.iid:146A4355D73911ED9F12FC206E888E6D" xmpMM:DocumentID="xmp.did:146A4356D73911ED9F12FC206E888E6D"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:146A4353D73911ED9F12FC206E888E6D" stRef:documentID="xmp.did:146A4354D73911ED9F12FC206E888E6D"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>V)XB
iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:OrM
iginalDocumentID="xmp.did:b432a331-b795-ce4c-bee5-08f43cc81038" xmpMM:DocumentID="xmp.did:04E7876BD73A11EDAC78E3102C78E3CF" xmpMM:InstanceID="xmp.iid:04E7876AD73A11EDAC78E3102C78E3CF" xmp:CreatorTool="Adobe Photoshop 21.2 (Windows)"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:b55f72cd-5935-e74f-80df-4718c9cea77d" stRef:documentID="adobe:docid:photoshop:bf70f6ea-a398-5747-97ca-51de5b86ca8d"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>
'iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#" xmp:CreaM
torTool="Adobe Photoshop 24.3 (Windows)" xmpMM:InstanceID="xmp.iid:44705DDDD73911EDAD73F321C8336757" xmpMM:DocumentID="xmp.did:44705DDED73911EDAD73F321C8336757"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:44705DDBD73911EDAD73F321C8336757" stRef:documentID="xmp.did:44705DDCD73911EDAD73F321C8336757"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>%f[^
'iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#" xmp:CreaM
torTool="Adobe Photoshop 24.3 (Windows)" xmpMM:InstanceID="xmp.iid:9B6EEB7AD73811ED862CE37A7A1C02AA" xmpMM:DocumentID="xmp.did:9B6EEB7BD73811ED862CE37A7A1C02AA"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:9B6EEB78D73811ED862CE37A7A1C02AA" stRef:documentID="xmp.did:9B6EEB79D73811ED862CE37A7A1C02AA"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>
'iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#" xmp:CreaM
torTool="Adobe Photoshop 24.3 (Windows)" xmpMM:InstanceID="xmp.iid:B0CFBF30D73811ED834FB3F0BE6B170D" xmpMM:DocumentID="xmp.did:B0CFBF31D73811ED834FB3F0BE6B170D"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:B0CFBF2ED73811ED834FB3F0BE6B170D" stRef:documentID="xmp.did:B0CFBF2FD73811ED834FB3F0BE6B170D"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>
iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:OrM
iginalDocumentID="xmp.did:b432a331-b795-ce4c-bee5-08f43cc81038" xmpMM:DocumentID="xmp.did:B4AEB233D73711ED9FCEEEE6BF5AD24B" xmpMM:InstanceID="xmp.iid:B4AEB232D73711ED9FCEEEE6BF5AD24B" xmp:CreatorTool="Adobe Photoshop 21.2 (Windows)"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:b55f72cd-5935-e74f-80df-4718c9cea77d" stRef:documentID="adobe:docid:photoshop:bf70f6ea-a398-5747-97ca-51de5b86ca8d"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>j
iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:OrM
iginalDocumentID="xmp.did:b432a331-b795-ce4c-bee5-08f43cc81038" xmpMM:DocumentID="xmp.did:8BCF0ECCD73711EDBBDCC9D5536A12D3" xmpMM:InstanceID="xmp.iid:8BCF0ECBD73711EDBBDCC9D5536A12D3" xmp:CreatorTool="Adobe Photoshop 21.2 (Windows)"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:b55f72cd-5935-e74f-80df-4718c9cea77d" stRef:documentID="adobe:docid:photoshop:bf70f6ea-a398-5747-97ca-51de5b86ca8d"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>
iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:OrM
iginalDocumentID="xmp.did:b432a331-b795-ce4c-bee5-08f43cc81038" xmpMM:DocumentID="xmp.did:F05F7C83D73711EDAF80F8396D7BFC68" xmpMM:InstanceID="xmp.iid:F05F7C82D73711EDAF80F8396D7BFC68" xmp:CreatorTool="Adobe Photoshop 21.2 (Windows)"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:b55f72cd-5935-e74f-80df-4718c9cea77d" stRef:documentID="adobe:docid:photoshop:bf70f6ea-a398-5747-97ca-51de5b86ca8d"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>
iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:OrM
iginalDocumentID="xmp.did:b432a331-b795-ce4c-bee5-08f43cc81038" xmpMM:DocumentID="xmp.did:CE7EF4D3D73711EDB34D9BD0B56AAAAC" xmpMM:InstanceID="xmp.iid:CE7EF4D2D73711EDB34D9BD0B56AAAAC" xmp:CreatorTool="Adobe Photoshop 21.2 (Windows)"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:b55f72cd-5935-e74f-80df-4718c9cea77d" stRef:documentID="adobe:docid:photoshop:bf70f6ea-a398-5747-97ca-51de5b86ca8d"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>
'iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#" xmp:CreaM
torTool="Adobe Photoshop 24.3 (Windows)" xmpMM:InstanceID="xmp.iid:622324A9D73811ED8232E10A2A6871A6" xmpMM:DocumentID="xmp.did:622324AAD73811ED8232E10A2A6871A6"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:622324A7D73811ED8232E10A2A6871A6" stRef:documentID="xmp.did:622324A8D73811ED8232E10A2A6871A6"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>
iTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.0-c001 79.c0204b2def, 2023/02/02-12:14:24        "> <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:OrM
iginalDocumentID="xmp.did:b432a331-b795-ce4c-bee5-08f43cc81038" xmpMM:DocumentID="xmp.did:76A6C471D73A11ED9C7AF740296C09A5" xmpMM:InstanceID="xmp.iid:76A6C470D73A11ED9C7AF740296C09A5" xmp:CreatorTool="Adobe Photoshop 21.2 (Windows)"> <xmpMM:DerivedFrom stRef:instanceID="xmp.iid:b55f72cd-5935-e74f-80df-4718c9cea77d" stRef:documentID="adobe:docid:photoshop:bf70f6ea-a398-5747-97ca-51de5b86ca8d"/> </rdf:Description> </rdf:RDF> </x:xmpmeta> <?xpacket end="r"?>
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"pepes.unisat"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"second.unisat"}h!
333333333333kwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwv,
333333333333333333333333333333333333333333333333331>
JSON{"asset":{"generator":"Khronos glTF Blender I/O v1.7.33","version":"2.0"},"scene":0,"scenes":[{"name":"Scene","nodes":[0,1]}],"nodes":[{"mesh":0,"name":"Cube","translation":[0.004677388817071915,0.39316344261169434,0.0013764910399913788]},{"mesh":1,"name":"Cube.001","translation":[0.0006137662567198277,0.3890998065471649,0.001376491622067988]}],"animations":[{"channels":[{"sampler":0,"target":{"node":0,"path":"rotation"}}],"name":"CubeAction.001","samplers":[{"input":9,"interpolation":"LINEAR","M
output":10}]},{"channels":[{"sampler":0,"target":{"node":1,"path":"rotation"}}],"name":"Cube.001Action","samplers":[{"input":9,"interpolation":"LINEAR","output":11}]}],"meshes":[{"name":"Cube.001","primitives":[{"attributes":{"POSITION":0,"NORMAL":1,"TEXCOORD_0":2,"COLOR_0":3},"indices":4}]},{"name":"Cube.002","primitives":[{"attributes":{"POSITION":5,"NORMAL":6,"TEXCOORD_0":7,"COLOR_0":8},"indices":4}]}],"accessors":[{"bufferView":0,"componentType":5126,"count":24,"max":[0.42293763160705566,0.39316320419311523,0.4M
133129119873047],"min":[-0.42293763160705566,-0.39316320419311523,-0.4133129119873047],"type":"VEC3"},{"bufferView":1,"componentType":5126,"count":24,"type":"VEC3"},{"bufferView":2,"componentType":5126,"count":24,"type":"VEC2"},{"bufferView":3,"componentType":5123,"count":24,"normalized":true,"type":"VEC4"},{"bufferView":4,"componentType":5123,"count":36,"type":"SCALAR"},{"bufferView":5,"componentType":5126,"count":24,"max":[0.42293763160705566,0.39316320419311523,0.4133129119873047],"min":[-0.42293763160705566,-0.M
39316320419311523,-0.4133129119873047],"type":"VEC3"},{"bufferView":6,"componentType":5126,"count":24,"type":"VEC3"},{"bufferView":7,"componentType":5126,"count":24,"type":"VEC2"},{"bufferView":8,"componentType":5123,"count":24,"normalized":true,"type":"VEC4"},{"bufferView":9,"componentType":5126,"count":1001,"max":[41.666666666666664],"min":[0],"type":"SCALAR"},{"bufferView":10,"componentType":5126,"count":1001,"type":"VEC4"},{"bufferView":11,"componentType":5126,"count":1001,"type":"VEC4"}],"bufferViews":[{"buffeM
r":0,"byteLength":288,"byteOffset":0},{"buffer":0,"byteLength":288,"byteOffset":288},{"buffer":0,"byteLength":192,"byteOffset":576},{"buffer":0,"byteLength":192,"byteOffset":768},{"buffer":0,"byteLength":72,"byteOffset":960},{"buffer":0,"byteLength":288,"byteOffset":1032},{"buffer":0,"byteLength":288,"byteOffset":1320},{"buffer":0,"byteLength":192,"byteOffset":1608},{"buffer":0,"byteLength":192,"byteOffset":1800},{"buffer":0,"byteLength":4004,"byteOffset":1992},{"buffer":0,"byteLength":16016,"byteOffset":5996},{"buM
ffer":0,"byteLength":16016,"byteOffset":22012}],"buffers":[{"byteLength":38028}]}
4d/Foundry USA Pool #dropgold/
33333333333333333333333333333
ffffffffffffffffffffffffffffffffffffffffffffffffffffH
ffffffffffffffffffffffffffffffffffffffffffffffffffffS3
lmB""""""""""""""""""""""""""""""""""""""""""""""""""!
S333333333333333333333333333333333333333333333332
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/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
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
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
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
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
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
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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
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
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
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
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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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
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
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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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
+{"p":"sns","op":"reg","name":"nf50.unisat"}h!
text/plain;charset=utf-8
/{"p":"sns","op":"reg","name":"YunaTamago.sats"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"kaka.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"land.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7889.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"NFTs.unisat"}h!
text/plain;charset=utf-8
/{"p":"sns","op":"reg","name":"HarryB
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"Nina.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"bc1p.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5329.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"2369.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"mail.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"rare.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"send.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"epic.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"ares.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6788.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7867.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"leon.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"jeff.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"jane.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"#846.unisat"}h!
text/plain;charset=utf-8
/{"p":"sns","op":"reg","name":"55555555.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"2332.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"guru.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"0633.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"1881.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"0168.unisat"}h!
text/plain;charset=utf-8
7{"p":"brc-20","op":"transfer","tick":"meme","amt":"30"}h!
text/plain;charset=utf-8
7{"p":"brc-20","op":"transfer","tick":"meme","amt":"30"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8677.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8767.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7678.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8766.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6778.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8768.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8678.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6786.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7876.unisat"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"pow.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"dapp.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"robot.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"apex.unisat"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"gamefi.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"node.unisat"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"Thomas.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"Mike.unisat"}h!
text/plain;charset=utf-8
/{"p":"sns","op":"reg","name":"Muhammad.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"Bazooka.sats"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"Swyftx.sats"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"kenya.unisat"}h!
text/plain;charset=utf-8
/{"p":"sns","op":"reg","name":"takataka.unisat"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"OTC.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"tits.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7866.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"jerry.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"xxlb.unisat"}h!
text/plain;charset=utf-8
3{"p":"sns","op":"reg","name":"
text/plain;charset=utf-8
3{"p":"sns","op":"reg","name":"
text/plain;charset=utf-8
/{"p":"sns","op":"reg","name":"the-pepe.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"ucla.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"2080.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"jake.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"sbts.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"xxxx.unisat"}h!
text/plain;charset=utf-8
/{"p":"sns","op":"reg","name":"shibainu.unisat"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"142857.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"Geek.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"Top1.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"nice.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"Top3.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"2140.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"Vote.unisat"}h!
text/plain;charset=utf-8
/{"p":"sns","op":"reg","name":"21000000.unisat"}h!
text/plain;charset=utf-8
/{"p":"sns","op":"reg","name":"MusicNFT.unisat"}h!
text/plain;charset=utf-8
7{"p":"sns","op":"reg","name":"2099999997690000.unisat"}h!
text/plain;charset=utf-8
Lb{"p":"sns","op":"reg","name":"TheTimes03/Jan/2009Chancelloronbrinkofsecondbailoutforbanks.unisat"}h!
!22222222222222222222222222222222222222222222222222
%&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz
&'()*56789:CDEFGHIJSTUVWXYM
<-(ZxZ` ZpZpZpZ`4-8-<-(Z`4
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"sweet.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"kyc.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"PUFF","amt":"10420"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"PUFF","amt":"10420"}h!
text/plain;charset=utf-8
I{"p":"sns","op":"reg","name":"1A1zP1eP5QGefi2DMPTfTL5SLmv7DivfNa.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}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
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"7777777.unisat"}h!
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
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"Mohamed.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
!22222222222222222222222222222222222222222222222222
%&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz
&'()*56789:CDEFGHIJSTUVWXYM
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
1{"p":"sns","op":"reg","name":"privatekey.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
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!
^.^.^.^.^.^.^.^.^.^.^.A
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"areswey.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"pos.unisat"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"123456.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
Lg{"p":"sns","op":"reg","name":"000000000019d6689c085ae165831e934ff763ae46a2a6c172b3f1b60a8ce26f.unisat"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"478559.unisat"}h!
text/plain;charset=utf-8
0{"p":"sns","op":"reg","name":"OmniChain.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"mario.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"sascha.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"Silks.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
Lg{"p":"sns","op":"reg","name":"4a5e1e4baab89f3a32518a88c31bc87f618f76673e2cc77ab2127b7afdeda33b.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"50k.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"Names.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"ronaldo.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"HarryBolz.sats"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"shiba.unisat"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"jordan.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"2^161.unisat"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"PUFF","amt":"10420"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"yuming.unisat"}h!
text/plain;charset=utf-8
){"p":"sns","op":"reg","name":"su.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
0{"p":"sns","op":"reg","name":"SBstables.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"rocket.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"maestro.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"UniShit.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"anz.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"12343.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"owner.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"Germany.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"PUFF","amt":"10420"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}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":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"coredev.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"sns","op":"reg","name":"bitcoinsatoshi.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"chizii.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
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
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"polygon.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
!22222222222222222222222222222222222222222222222222
%&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz
&'()*56789:CDEFGHIJSTUVWXYM
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"sns","op":"reg","name":"generalmotors.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
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":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"UniSea.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"ujjal.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"000000.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"honda.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"6930000.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
DjB=:ETH.ETH:0x532C28f22319F485616fAC3d00E16Da63b8f1709:1511590302::0
text/plain;charset=utf-8
0{"p":"sns","op":"reg","name":"bitamigos.unisat"}h!
text/plain;charset=utf-8
/{"p":"sns","op":"reg","name":"bitpunks.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"2186.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"2558.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"2268.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"2199.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"2188.unisat"}h!
Aj?=:ETH.ETH:0xD371C3C2dbd853A46fffaDc617093E2A7D3A2C11:3870278::0
/ViaBTC/Mined by mosaviem/,
IjGREFUND:A5FE3FA61C075FE96FD10205E39251F7B667D48F2736BFF3CDB1876CFEA00257
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"dios.unisat"}h!
DjB=:BNB.BNB:bnb14w5hrdzg4gsz3e5pdxk0u60lp2jq370q4eu48v:15803801:te:0
text/plain;charset=utf-8
Lf{"p":"orditalk.org","op":"post","content":"$pepe at 2,683 holders","attached_inscription_id":"501128"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9939.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8898.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8818.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8688.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8868.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9959.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8288.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9979.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9949.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9929.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9909.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9989.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8588.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8808.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9919.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8388.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8878.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8788.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8838.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8988.unisat"}h!
text/plain;charset=utf-8
text/plain;charset=utf-8
{"name":"HashKey Digital Asset Group Limited","symbol":"HKW3F2023","uri":"https://bafybeia344727fgfdwpkkjosrgjx7szlz6dxjyleruhwqcoighapj4nrbu.ipfs.dweb.link","hashrate":{"hw":"GPU-ATI5870M","date":"2009-Sep-23","efficiency":"264550 j/Th"}}h!
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
FjDOUT:0B5ACE77910526AF1B41ECB0E0D1D794CE284DC3444B04CDCEE52C51E2DA5661
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
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
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
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
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
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
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
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
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
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
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
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
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
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
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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
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
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
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
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
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
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
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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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
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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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
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
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
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
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
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
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
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
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
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
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
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
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
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
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
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
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
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
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
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
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
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
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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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
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
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
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
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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
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
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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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
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
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
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
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
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
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
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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
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
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
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
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
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
+{"p":"sns","op":"reg","name":"west.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"east.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"0869.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"nfts.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"back.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"beer.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"mee6.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
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":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}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":"sato","amt":"1337"}h!
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":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"funds.unisat"}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":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}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":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
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
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
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":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
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":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}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":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
Mined by AntPool959`
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"nat.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"0023.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"0025.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"0026.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"0027.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"0029.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"0028.unisat"}h!
Bj@=:ETH.ETH:0x80550415705c75e68d50f8f43703Aea402Fc9E4c:40187805::0
LjJ=:BNB.BUSD-BD1:bnb1ehuv8mev4eut5u85g2sz9wkc0v82ctmknep5h4:60811787371:te:0
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
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
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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}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
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}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":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
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
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}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":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
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":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
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":"sato","amt":"1337"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
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":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}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":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}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":"game","amt":"1000"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"asset.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"ben.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
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":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
Saeeda Siabi, 21 at time of arrest
On December 22, 1981, 21-year-old Saeeda Siabi was arrested alongside her husband and four-month-old son. For more than four years she was humiliated, tortured and raped in front of her own child.
My interrogators used very foul words during interrogation and addressed me with insults and humiliating words. Their foul language was very excruciating.
They beat me with anything that was accessible to them like cable, wire and lashes. They hit me on the soles of my feet.
ey forced me to walk. Sometimes they crushed my feet with their army boots. I was holding my son and some of their blows hit my son too.
Iranian Diaspora Collective: This testimonial is part of the
The Iran Prison Project
 that documents the living testimony of political prisoners. The aim is to bring the horrors of Iranian prisons to the attention of Western leaders and media, so that collective pressure can be placed on the Iranian government to release prisoners and stop executions. We also believe thL
at one day, the Islamic Republic of Iran will be held to account for their crimes against humanity. On that day, these stories and testimonies will be essential.h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"0x0.unisat"}h!
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
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"domains.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"silver.unisat"}h!
text/plain;charset=utf-8
){"p":"sns","op":"reg","name":"CLOT.sats"}h!
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":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
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":"sato","amt":"1337"}h!
text/plain;charset=utf-8
1{"p":"sns","op":"reg","name":"Web3Wallet.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
1{"p":"sns","op":"reg","name":"btcsatoshi.unisat"}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
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
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
5{"p":"brc-20","op":"mint","tick":"game","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":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"autumn.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"sub100k.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
0{"p":"sns","op":"reg","name":"publickey.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"sub1k.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"ken.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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":"sato","amt":"1337"}h!
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":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"winter.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"block.unisat"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
({"p":"sns","op":"reg","name":"NRL.sats"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
){"p":"sns","op":"reg","name":"a9.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
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":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"self.unisat"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"210000.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
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
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}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":"coin","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
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":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"donut.unisat"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"Stamps.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"messi.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"Baz00ka.sats"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"Texac.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
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":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
){"p":"sns","op":"reg","name":"5k.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
2{"p":"sns","op":"reg","name":"bitcoinking.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"PUFF","amt":"10420"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}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":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"Romance.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
1{"p":"sns","op":"reg","name":"ordinalhub.unisat"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"ash.unisat"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"Abraham.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"PUFF","amt":"10420"}h!
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
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"air.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
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
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"bigbag.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}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":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"ootani.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"sns","op":"reg","name":"SatoshiNakamoto.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}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":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
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":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
9{"p":"brc-20","op":"mint","tick":"post","amt":"21000000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"Ali.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
1{"p":"sns","op":"reg","name":"MadLadsNFT.unisat"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}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":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"PUFF","amt":"10420"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
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
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"SuZhe.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
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":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"sub1m.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}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":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"PUFF","amt":"10420"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
1{"p":"sns","op":"reg","name":"blockfaced.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
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
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"sub10k.unisat"}h!
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
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"Coinspot.sats"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"WAGMI.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"mining.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"PUFF","amt":"10420"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
2{"p":"sns","op":"reg","name":"MarketPlace.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}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":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"summer.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"ufc.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
0{"p":"sns","op":"reg","name":"OmniVerse.unisat"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"NFTFi.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"pacman.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
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":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
1{"p":"sns","op":"reg","name":"Cypherpunk.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
2{"p":"sns","op":"reg","name":"gameofsilks.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"kudos.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
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":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}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":"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
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
0{"p":"sns","op":"reg","name":"Blackrock.unisat"}h!
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":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"eua.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"front.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"don.unisat"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}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":"sato","amt":"1337"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"spring.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"smith.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}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":"coin","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}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":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
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":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
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
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"Ordlist.unisat"}h!
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":"sato","amt":"1337"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"flux","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"webp","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"PUFF","amt":"10420"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"dxb.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
={ "p": "sns", "op": "reg", "name": "guestreservations.sats" }h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"Top10.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"gmgm","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}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_343", "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": 19, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 11, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 16, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "UGmnvJ1tWzM
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
uU4vE8JiKEvT596bzoagy9PqI0ukm15bwmN8I8yM2tOVS/aD2pnMi8I6W3vTsXtDxfRjY9YcBYPXByDz29aQ89DYkqvTk+zbmyXKW8HYJbPHtsEb6fKDs9oq0avSafoD1xQgU9Z/0lvcOEsjtRhAc8EC2hvDTCuzyf1OM82w48PXRtIjpa2QY9LweTvbZG6jxyglE8ImnnvE4vx7yQmIg9HbkHPSO637tAAki+1HwKOmx+mjs/HZc7d2OcvUghGD1MTF04r8NUvaLr9LtdQhs90cwbPW3WLD0SMMu8EFVLvVWRWbxx1na6PQhmva4Ylz1NSUk7SRmOPbS/djz2tZi8JqW9PAGxnr04rNi8pKYxPVaTmb1aCLE9Yy/bPHNr9zx8Gdw8v20PPA+Ztz0qqiU9HHEAPcyalT3LYp48Bq9PO7GeybxQZug77lmbvWjO+z3/3TQ9QUVIvbOxUr0DDyY7FR2EO2FXObz+x/W9GfEFPfOKzDyAspc9VN6Nvei0Ir1Hm4A8dVM
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
UqvdoEjT3sT+O6e6uLu++5sTwDi2a7gJmMPN+NVj02zFG52tNquyaSpjxi61G8wQ4EvZF3q7zYzKe9mie7u94KqLsMRxy8ISXivRp79DwPe7s7vd6gvJsiejwbd707w2jkPXyd6jowsoo9NpskOu99OT1nKjY9wbbYPO42+zzUZgk9dYsuvBq7hb0vyBS9Kk50vZXX0DvJfGS8WYfpPKvK77xQSmo9IFdavYcMCD1jnFK9j+UdPWYx4z1UEZW7Dn0wvG5EjT11Ryg9QAyDvHiGlLuiveW8rhBrvVf94z1JryY94ARyvUxVFL0bpqc9eV1AvbdxAz2CYLG9bqBoPYJwYT2z6ag9+sGfvcfYAr2A/Ym8OlG1vGbjBbssai68AiDsPW6+dLyYyX89SlB1vagnozwGCeQ87RRBvAyghDtJIkG9YDYvPQhrLr27qgQ8YKZ8vXG/H71on1+9dEz8PFXvpL1hJ4u7mSCqO4Exx7yjlF+9eQrtvMOTDz62LMU86K2LOcCjjzM
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
DmPWiZW70bQKW8ZSaqvDdurr1C5do8+vaSPWxydr2vi9s8wNNXvXEPcD05xbM8/8EwvbapDT4EeqG51LKdvTdz3z1CdSa9OWwmvF2WbzxL7ic93870vODkND4L1Yw9i3mevYXXBL3xxOk9hWPjurxdW7115RC+4ISFvRbDhr00Zpk960JlvTSuILxwBbu8+8r4vNPRVT1f6lM9ADmAPQ9Tw7yqzJM80+EmvLWCzjwnGZa9gAOFPejcnzuVtYa9OQq0PeBH4bzbI9i8fz4rvaKnpb2iJDu9jK31Pad0+r1n+RO8DSV3vGOKwj2IWCa9o06WO26ImT39ce27hIPIvUdHDT54D+q83bjxPCTz67zM6i090pEGPEbUIT50qWK83mq1vfognb3Qmgo+CJewPAliRrr7Kr69sksnvZi1Az01KuE9pTzSveimILwiaZ285a+JvKr/2bygmhg9Geq1PZ6sQL0ite28m18wPdCFUzy56Tq9MdPZO7H8az0Rcyi9H85JPWaB7TM
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
GkO45v/LwIyYq8r3X0vIpHnLyUKP88ajbhvDpDGLzgYIa8r9GLvMX+17yDUck6BKk9PQg/3Lw5icg8JmKzO7KYpz01QTE9rofQvPEb7rxvG+C88CoDvM6zAb5qMW69HnG6vbY1Hj0JL1e9+5UGPSV2HL1SDqe8Y6YjPY7VgLxrqOe7NWSyPcZXCT3ZKZs8GlfjOxnQEL1PbTq6AAwQvZSopTsgYEO8Pz5bveO6UbziC209eks3Pbe6hj2/CgM9DBiNvTR1FztrSYC9XN9PvNunnDzB9lI9XsaivdOUo7ugKnu9YSIBPRCVCDyb4ug8ei2TPKW4HT2BLta89+QDvKnLczyKYjw8Gq53PBakPT2BLVs9cZ77u8N8qb3vOXy7fneWvC/6mz2EPES7Ma6NvdKsz7x5sSk96vIHPS/9t72sjV+9glMZPcsRNT1B43I9r5ujPFNXKz18EAi9A+TzPPo0IzzloAU9jTbWPGNqijx1LjQ8oH8qO8qrrjupDLa7FAswvIMi5DM
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
1YWmM9cziMveKfdj01ewC99iosPU1a2Tx2c6C8UonDPNYHET3RIbo8o+iYPKqOST1TlD29TAYUPXrLjTyMv5q8Jw18vazwSb2zT/y8JfujPRIap70TE8A8DTnlPL7Vrjs9YRe85I4Yuzh1DT4CpiE7FZ3LPOPMOj1vRTk9ChJfO3/ggDw3qxU9Q5E0vdUOdT2ME8S8B1p4PGyrM71spgA9CZ01vIcN5LxDVKe9WIk+PRF69LzGPaY9OVyHveoipDw5uCy9h9fZO+ijALyrq1Q9ZOWyPZqiQ71L8Qs90N2FvNtzoLwJml+9eY/kPFUSfT1oqZi92ExOPf2EAr3vfFu9CuwCOsgPs72N9pe8iSmRPWowXb3BoDM9G4SQvTmFmD0Sy0s8LmftPJCgFj4ZqnU8bgyTvIWT1T1eulY91ZT+PAjqDL0VjQg9wyLHvADeJj6yAkk9uC97vZB2Ib24Qi89uPISvQFkRzs7x+K9+wwwvUQxkb1/aTA9C2eduyPqsLt0SgK8/FM
GqPPy4zDw68pE9mtPMPNV6Qb2x3AI9/0e4PG5jUj2nY429OQErPWVSfDwMqpO8cjwMPtrYOr3WUJQ8J6ZFvOaDp7ztpy29C9f9PWaEe72tBJG8iQCavFez1T1SEEq9VXthvRysoT08i8K7SD3DvRhiwT0xiwo8cxYBvaPFVLuu7EA984UbvJmKuD0qota8P3o2u2wnfb01oh49vrFlvTmE4rwieIC9sYuSvW3GZ70XpUc9s2aVvZDja7wR3wq95dMvvK9nNLwMX5k9OsDDPYmfNb0qqR69SpEVPeS9cz0LIUe8ucJQPTu4C71D0Wy9a9TUPVUAgL1sqNS7STxjvQ01g70ArYK8VJPoPT3zib2CRLW8mvGIvGoK2j00twM8FKIPvJzewD3tXxw9Ob1/u7ldED65FEI8vLAwvZ5+B70TGN28UfHDO5FhID4ZXs28Mha4Ox6WiLyTsuQ9Szy5vKVQk7zs8Y695HfcPC3nAD00IBk9i6h/veoNlTyDBuk8q+DwO+zjuTM
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
QJvbBotjxvJws9c4XJuxaMODxskTO8TapAvMugFb0eHqI8Hj2mPE5hw7sfFOe8VCGcPb+k8r0/++E82XYkvFPiTT0u46W8RELiOv1DCj7vuXs9uqyKPO/Ev7sYBpo8sXhQPDdf4zzXtii8Yd2DvU5VFj3rIeg8WrtfvS/fm7xgcoA9bP0UvE94Tzt9rMS9ALcVPaOyoTyjmcm8sKuAvO7VbD39bGU9aR0/vN/GhzxS/J69BBqUPcCgST3bm7w8DCyWuwvuqz0esVU9aJyBvHAeYLtOnyU9lyiaPJxslDw4tjI9ZuMmvQBfPr3+Tu28g+yCvSS8Dr78CrM9WeZfPVrXY71JOS08nyxPPdijFD1nc/48U+0ZPRkqY73m3049s7SnPcVDuj3V6Uk9WFsBvbtN37wa7zw9PGjEPPR48btL2kI9U++QvNbYiz3uzvO9EY/KuzDkCj0EJaC73n+6vSVnJz3wUFq7IZyEPAfYlDvNAIw7KJKzPZsvjLvePle8frMPPdfAR7M
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
kXPejhPD1LRDY93lTyPAHbiL1uZmU8LHeAveX2Q7w1OpC8rSq3PDJJpr1yAjo92hMsPZSUJb1jMgw9Pl2pPemVHz2mCXy8ac+xPQwBortb2ZI8r+OBvNXxp7yWTyu87l6+vPfoNDyIUa08InvCPDBSkbwQ4kw8nT7ZPFtkkj0I88i9xkHfPKggkzyD4Ly8PT5Vvbsxybywwd48X5GdvPlg7rwOVNk82S6XPJUTAb2/c/e8pnByvCG2Pz2yEPM8zl5SvTFE77x0qSY94LvqO0rn8rwmTzW7hrPuPLlfQD0Azhm911hmOqlIMb11EUC80888PSo2YLwzB/m8dxOMPdbwgD3Gpps9wycPPWzvkr29jR69Gz+0PNxUnLzaijC9KH8RPZXBvzvCWRu9YNNAvTYK+zzKoYI8SoSfvN7fXzu07si8kkiBPcW+NTvr9w+8bUAOvEaixLyNnqA9R7jNO3lSu7zIuJU8lFbCO+bpkL2KCO08l8Isvf0UYj1elZg9BU/xO2wQSbM
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
PNu+Uu0L3FgrQ8kHxlPfEvEj76/EY90ni/vWl4f7xlWyC90LQ9PeiGw7zYzTY8qBVYPY0aJb2DB1I9iZo3PZ2ytDsXQf68PrsGPRUAG72eai+97FjouJm+mjyVbwc92e4GvYhyCLyeS0i9wBwTvdhkXD24Ri88T6b/PMBlSbrKgSc9qlJQPMyJrL1zgvU8K+yePf/khDxGVHA95QOVvUw7PrjTrRu8Vm9ePc1ZpT1PnUM9I+ysO0sygTxLohu92CC7PAv4sL2b5l68Zdlbuwzfuz2goXU9FvTevO/RkL2JfAW9iyFCvLJlvb2elme8VoilPLQXUzig8H89Mdz5O9hhCD1jvX69RzC5u+1PIL15HN47DPlIvNSh8DqQ+zM83k0JvWpnojz0OcE8UzEEPNxapLyu0ec7Vq9fPckg/byNDNO8soNGvVfEi72A4J085EFOPZ8FgDtdZ6M8Z+FKvdKrsL1d7R+9ozI6vfCLAryblZQ7vrgXvCufR73wjy29BoHau2+oobM
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
PKuiE47LxLqQw9texcPX+4Aj0Mooy6foHKvH3gyTz/Tbu8PplEvG893ro59V89JRAGPJFZhzzwxCm+aVySvN76jrx5HNQ8W8eZvfIbGT1ZVmE7hMphvddu2rza+hc6vU/JPBGoYD0z3jC8xeLYPJTtjrzN7yC9TWgLvSVEkjzIN4s8npMhPSeZ3jzArWE9QXf0u8AyHr0aYYu8q9HmO2S3KL17NL09GljLPHIm5jwNghg9SoWsPEPrtz3nznK6m/6ZPHix47xYIFg9hVizvIPLTT3QccE85ydHvazJnT3AKZA9LQuTPckqVrrFpiI9NECjPEhyArzxrBm+jrBEvShder1rnEM9tO7Eva9fCjwKZZm9uzNEvcZszjwB4js9jD4TPfGZTT2N/U299q6uPGABfjws6lG8IRmMPEVvtDxU88S694RNPcASejp6kdC7xcAbvQY/Az2n+om83FObPJeuw7wklFy8TJmKvURIcD1U55i8+IwVvevk2D3H09+6vK4mvRmuIjM
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
9HvVRhg7wkMoe91wxxvYGjV72uuRM9uzOsva6wpDzqIXq9UGqJPdqQcD3I/lQ9u62KPYWbAj1p/Fo8rSmnPMhGtbzbcom8z6tHOeRtT7yGOX69QD80PHvWFjpaTlq9X/IfvYThUzzEUhm9c8WnPczl/Lwyej09hrlNvfaorj2ROUW9R7oDuxtW2j0TZKW8oZaOPBQnnD3VByw85Jn6vBigKrveEl89xiW/PMwbZj1Ndf06u+1fPNXwyLxzN2U9QHtdvY8ahbuLxI29aGCiu0LgAr14+ZA8/ivjPOG4hj3ozDA9bx/MPMf/FT21pH278OmxPQgppbzEkKS60No+u2IC7zyuajq9g2cTPS353LxtxFm91QwKPei8njzHCgS9rG2mumd6h73+/Mq8VWUkPVPFsry/rQY9PAG4vIu0Tj1IklO9rjcVvQLjtT3VW6o80g/uOxh5gT0S8og9DpD6unk+Lr0CDai8Es9bvT/V3T1Q07A9XlT1vOsqHr1PXB09rdIVvRC8o7M
sCAwK++zdsPLHJRT343QI9Iz8RvYM3PLzyKM6813ievHTuJz1/UAU8WRykPatelrxcuTE8ru0ovYgYMTvbXy89RDA9O+COlT2oCPC8gurSO2At5bxas3G7kIUevMymh73/DWM8TssCPSHvpr27++U8xxgCPSvQ4ryAGaW89HKgPQGG5zzgbUE93IdsPZ6gIbxwVUE8gJXPPNKcaj1jyb+8/KEqvb0CmT1hDaI8bEM7vcLCQTzVmBU8EMxGvcsmnbuXsdO9wd9hPeDnYTz3eKA9bNW5vMoUrDz9kjK8nfbbu0fkAD3eoXM9wy+8PeaXy7u9YFC8VxC7O2G5m7tIv/O84ZbrPG68HT2adEi7855aPUbg0bx1L9A8kSuKvND8Xr0DSCy9/aN4PZG/2r2NBo495ZzCvCJNsj34gxs8s/TDvEiKqj1egyk9ff7bvG6duzxFHso8xdCyOzj9zbzN4yy8RmzxvAYZYz0fZ+28PgWWu5YAazzagyo8wStmvWG6fbyCr76934M
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
K9va+iTj1Z1S08ZSTpvNVJLT0/ni89LG64PasdGTvxlVG9j0xPvM97HT38l2C9z78APQCWdryKFXi8Uh1FPbl7xzytQDy9scNNvWRwk70RYZy7X16WPTryCL63bsi8PKsZvSdE6j2n6kQ8VDcCvRdx0z0Vf5A8SU6XvGiYuT1agOC8PI/avAhzxrzdtoo7B6z9O3UTBD6G2wO9voMNvXdLS70IsMI9rcctvf+dh706sRy+a3eLPF3iOTyezLY9aw6NvdmcuDx2/SS9FsU6vLQ7Lz1sTjc9o5yAPET3Vb2t3S092MAOPWlm8jws3Eo9pYm1O/o3LT2RJni9ez/GPasoijwCzF881EuTvTKRVL2GLWc8Td9vPXUVtr35nzg9wBs0PT9srD3EWQA9WKR2PchKkD3z/6M7xYwDvFiyZT3DScE8h+1wva/lXz1PAis9Q40ZPPBboz2UHYY5he2PvSGZdr0u9e09Gmqju3Akazs8+/a9s96TOyx/kzt8rjU96plGvUl5u7M
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
0wz8a6eJiXOrCetb1XM7K8+NB6vGkGsT0qatq7/GfNOyWUor0DKla9tPoWveFZED1X04u8fJjZPTTfTzwyh0w9Chjiu2JWDb0vQDK9yV/svFZ7Wb3V7yA9/EsuPI/bcD2WGbC9ixbQPOKgYLwElTw7K4eLvFL1QD1zn0W8o+xyPYAYjzuw5pg8cLYlvWeQ97zPdiC8QEqZPZZYCr321Kk9XhSmvWX8gjyaKeO7o08UOuj/UDxA7Ro9sX6avTk1jT0iREO9FnOWvJabjL0+xqe9UZ1ovT4IMzwMPJ26EsfAPYrQzr3grxk9W8SvO2V8QTuVUGg8gSWcPWZMcT1yXdI8oymcPUTwyL1oQ4W94FPEvbDYgjt/YZQ8XkNTvd6N2z3Vkmu9BmKgPW4rIL2VT/c80nAjvUCnvz3XuGK9USc3PB24QLwd/SI89OEIvOA4uLvkCYq9nbpZPQU+bT1dEqU9x7QovPP61jyiUFG8JfByvbLqsLzM3Mi8GpbwvKzU2TzMEr07WkM
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
1xuI28FCApPBFPT70SFte86CQ6PS1JnLxC0B09YVaAvCTyJT3INIS6TOs2vNQMUr3I5BW9BW/IPVuAyzxqPKM8CokEPIE9oboySEo8qvgKvRowhzzNfxu7XDQzPXsUXrzReg87LKJtvNN4Vz0ba7O8ucqQPMqcXLxYQeu8cLgwPVNJdzuTgjG9T3OEvU8XIb1hC9m8f50mvXDVwz2QcCm9bYOSvHVKZD2jW568FrUGvuY6TD3c7KW8TV++PHI+uLv9rhg8AUovPR9SlTy3OJc8YhluPSTZhr0puSW9BoSMPJJ/1rz4XMW6EjajvDWn573FG3M8G7wAPhrowbw6Eks9x8czvaguhjzwOwg9QP/dO3ahqzhrXDi9CkL5PLJFDryz4UM83JNfPY08uz0XXdo8xc4RPJEQWD1p8KG8JYukPQbBqzyPT8c8fd5OvMzjOb21n7g9m7etvLKXHj2KHzk819aVPUQaAD6TP8o8HVgSvjafLzxx0lO9UYQUvDdJvTwUn+Q8NlM
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
JrPfOy2LyZlaC8I+4Mvi8zPr0tBxm9ih5JvbJ6vzwKa5y8PYfZPLFnljyida287j+QvUMLlz2VtXY9ZaIxPZwHczzmeKe8GKDFPRnsbL21dBo9i4FKPc5Rxz3rtuC7zboUvTBj37z0xkM9zgRlPa+WOTxS9p891GlNvf07a70MVZc8+w+LvUXovD0TE3G9n00svAHxxD1tEHw9cqMPvrr9AT23gpi94onGvLvE2Tyv4AA9H0QmPLyGFz1Cqe+8GnErPZBxcb1vpGW6OKGnvU3yfb0XZ72869duPHiuQL1h+d27FeElvMHgtz1tbWa9Jpk4vaLcmT1nckY92qhhvcAM0r15FiQ9t54HPefwHblr1DS8olX3vJwfCD6WosS9VX0lvubQnb3bQDk9TvSSPJOa3jyte6s9gNC1up8Fhr0Aaxm9pUCFvGpLjT0H5tO8NWwjPU+RdD3MNUw86f8BvsgztL2Deju+dsmrPb/fIb0yN+k85dcsvCdfHTvRqOe86pAWPePxpLM
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
vP7sw93WUXPvxazjzMvia99s6MPemUU75DAHi9NRk2PRoivL38Jcs9s4UxPjpDUT6GUxe9gKIwPMRLd76ELlg9H2ciPUlDFD7FTps9uMUivuQ/iD2O8E6+25CqvXN/xzwRfUi+2g3tPXjzDD5p0/49ZJ//vOkkfzz5Dze+r40OPcQerz2KmTQ9oa8fPInQ7r15AhU+araovZ3Srr3NuNq7GBAGveb7jD3Z/hQ90TUWPh2szrzHnHi8pg79vTfMRT0CnNo7x65FPfXbYr2kVH+6gzBLPQm95r2nQKq9imX6PLEEDb59Qys+1fP+PcZx1z3UaN+904LCPZ3nbb6TjlW9M2GWPQm0Ab3vxFU831cNvWzTIz1b3oS9FySBPRJgsjxxWiK+CcPmPZGJvj293rg9lgEAvhLTsT2F+qO9XlFIvN0FpD1N6EO9RQu6vcF/yTx2CY49NUkPu3ECyDzCBOM8svDevXg9yDw/OB+9kAqwPJA9UjtTcx29EBWDO0c7U70vJQ69oFM
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
jJPVLEbz18Dfw9Sn+NPTtxxD01GQS+qzUJvuyHJL5T7SM9D1Smvdx6GD5EBjK80RjEvaFOvbzqGhE8FlcevDaRmz3aDpg8TpTPPe2sgDuHJpi8P5gXvoh7BL40BES+RXYxPmhr1L26/AY+z4EFPZIxcL27h/Q86wqevPBiR703oca88P0YvdK5AD3P31y9AKmIPc+Q4r0IQ4e9P73AvR7rBz7Y7aW8zTwyPQGOkLpvQYy9lfK/u2/+h7wF6pG8i0ilvMcsqDxttYA9kNGYPdAWR70S5ba9xYaxPXXmcr3nclm8ss8CvQwXQz0+vvm8dq9YPcaFl7xCX5G9jbguvfgj/LtLnSO8GLT8vI5uIb2vIrm9v7WGvVPsXD3/Xoa9FfFGO0Z+1Lvzz8E7CUG1vcPtTT0OKUg9q2XFvdiE4LzlK8C8c+1YveI+7rzhP3q8WyPEO6pjFTqoRcM99f8VvVs4Lr0BO3w9zHgTOneew7yxN9k9fmvtPDsjib2WV3y7ZpODuwVPg7M
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
2/hG49fIWXPFdlxj2e6788CcsxPAzsML1xwg88TI2XvEKyjT3Jjh680JgEPWNqnL22syk93CK2vcoIyby8w3w8MnvvO3nEID1yYyo9+2IMPXj1tLyGhRe94h/ZPAJlmb0PhAQ9zNS2O5stAz6nfHm8DDNtvZ0NJTwhK189B5DOvfCLwrsUkoS7+2IWPDPvgT26DC2+IJXPOvAdobsZUlO98I7SPDOxFz0mvHO98XPAPGo2jDvIOxM9jXqrPaa5UTyFZdu8nt8cvavAbj26puw7UhrWvKwRMbxi7JS7IC5tvQtzRT14SXE9b5y/vMcVXD2z+fk8UOeevDhyhzs30G09LYQYPXBFZj0qw607vg12vPtQtT1cNLg6FEvZPAgg4rwV2IU9RckxPSiRdD02X009vN6CvSIWED3OmYM9RKxjPCuNAT312zW8wWcevSXwkTwBF4K9lKlDvAPIrzxuJ8s9zjZSPet+Qz1Tb6u9SEGBPV1vC70oXUC84x5NPT240DzZbDs9aBM
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
xZJK499lXBvVpioTye8Bm8echBPXs7Zj2DhJi99gSNvDvfZj2pVMI70gdUvZ75D76YahG9+Ab8PPNjzb3kkhe9gfTLPa7wCz37QLI84Bb2u8vJHb3y9Gi9zRrPvOEmhbwQIes6HD+HPbQet7ydvc29RpElvQdI0zyVdpO7aah2uzGPlT0LVRK95nYkOwcSU718rIY8MZHqPKevUz2RQVa8UIKWPVPBq7rxPqo89/cMPIs7u7rxyu69BdO0PSSvZDxmPOq9bwC3PMx0Jb10bRE97xyDvMKmKj2OIhe9eDzuvTtIIT5t1xq6pjoRvZPtdj37RpC8MwZ8PF0AAD1+5tu7HjzHvID5gj25gBa9NXQ4vVw+Ybxphyu9TvIAPVbhPb01+EI9tqHyPFTG5Tw1qdW8WCq4PSY7hbuKJtG8RMzXvKY+bL2JIRg9xZd2vNaTKDzNeHW7oFWVvVu8lrve2tg7B/CsPftQBry/SMa8KNyWvXXQjr31v3W8evC9PHFGjD3R/Nk8aPM
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
yavXcHeT3oFEC81hNfPbn697xaqgM8q8F1PRgHZD1rWNo87udBvdG08TyXEAc9KVa9vZIUnL3K65E9phsGPVN5iL2DzQ++cFx+PKQAcT3UKJ+9KnU8vMqQpz0F+ZU904Kmu3kkQz0dQu696R+FPc/Yk7zBtS29TdktvANL4DxaQrs87jsKvVVztDy098I9M2YJvddDXD001VA95Kg+PawYCDwmIf48A4PbvfsxqL0sCfE9E9bRvP+Y+zyCGK09rCdTPJxJ5zwaNtK8OL+xPLB+P73kqgM9T/myPJDqrz2CroW9gMGQvCeehr1Xaww82ErKvDA7uTwlzCM9choPvF1+Rz3s/gu+Ada0vErZnDxrvje9LrxZvcEW9rsch5g96nTJO7XI1DwO/HO9Lt2aPW5tQDzGe6K7oyMSPdR7vD3ZDeu8jv8SvTu9Dr2vi1Y99K/DvHK/77zzYUK83ruJOzCJhr2hRR+9bllpvWOmsb3S1jQ9tUfeuw8FFz1kL4A99tjRParAbjM
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
qFvsDanb77xIg+XkAUveTlXD5S7kg+5AiYveKivr2rVJO+fd+avc5vG7yxc8K8cQXtPXjQRL0O9ty5ZX4RPoP+PL7LMiq+oDl9PsKdi71FxSE+zfutPSWgmb1QW0O9pzx0vj5gBL6wZjG8/XkNPkJ51D1I3V27Yn2MPWJiiT0CTym+W9kfvi2pVj77Hy68M6rLPZaijj2kk3y82r4/vAIHgb0dCgA+UZusvcTKXT0GXem9xU8WvsXFXL0pWiE+aWYJvncuCD2cMbc9/W0Yvu27az3Jvuq9RaKjPcWKqr3ex269S5pVvSRQ0b0KdpQ82HdcPd/qsr1s6K68Md2AvW6Uozyekyw9IPaEukaWFD0H7Bs+PwqtvW871Dv4yoW9hc4fvpa0D73s8CU6ELngPTuhij2cVKg9nDNZvUErq70QgIm83g9Fvrw2iD1QDmA9gLOwOW7jhLuBr1s9rCj2PCVnxT0USQM8xDUevn09mTwJjC49ho0gva/kSj3woaA9afCSvCjGxzM
2SHl29PiG2PCt7C74TO/C99D5WPWowJL3z4Ag+ZyjSvac0G76s12A9+d94PTGOmj0oFSC9RzARvTKizD2mf/w91SVHvp/DXz2iwk294hUjvkW7gD3OtiC9o21jPaDGX70HMdW9CHgBPpb8Kz1qoy49XlcHu8aNEbv7Vhk9ZH5QPXq6gL1FrNM9S6V5PT18xDygUlY74AoWvSICTb3rT+G90CsWu+27/r3BdhU+OOw5Pp2Edz6WWmu94y/evCcQ672Gl629XiANPkYQ6j3BT9M9qlC2vG5w+Lwi6Au+fv8UvjY1bL35FQi+c14ePlcKOj6ACEw+PVnEuwpJjL1sZDW+o+F9PWMiyj33Rts9ySJaPU4tPr1+Z0e8HVx9vlvXCL7ZaRS9GUBQPLLKtD02mCQ+r4aVPbw6nLwzb7q8sJIKvr4IBj6GWKc9h48cvSRKjLy2wFM8meWtvbDsXTwJk0s8qHwHvROUMr0e2Bk+gl6sO7NnFbzBVTO9Va/Bu24YKL2ziKC8DLM
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
ziIPo82VQ2vkZMHTxzmXy9lkeePasGAT4T+p09S+QdPZ5URbyt/x+57ncxvbfE1j0CqhU9KbZYvLL4Qj1ACJG9IbGtu/9LxD2tWRO9MVkXvZ0ogjzKvxs+aqPlPUCo9D0ORiu9SioCPn1YJr11L/68Y2XiPfJoEb3QG5I9MmdyvYu8ur1hJMe7KDcavaqVob0iLoU8AYWnPRc6Bj0KPro894K0uxuR9Ty5TYY9xKoAvRW2iD0JQwO8i1vever51zz5dr28MRCxvPAPbL2/4Mm90fsnPinqND0kfoA8oNp5vO0c8TtrFMQ9iAJzPeU1Hr0+8ao7944hvp70EL1hv4s9omr6vZ9LJz4MoGA9Ojc5vYmw3Dw/h7Q9C4MNvfw0v71+CJm8wjkJPuuepz1tO4O9qB7EvfgMO768JQC+WyGPPdZGSr2C3ik+g7WKPb2GzL1vhBs+AQ7GPc/D073vjCS+sIBEPNa/gD0NZyA+NSesvb0ztb2TT1O+Te0jviKa9z1OsEO8RqM
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
rgPi29lXEsvDlQRT1T6No8WiyBvVAmEj3pn+Y721eAvZzirLyrWTC9yUesvMHT7zyQkpw9wL/jvOEa67yrDKq7FEjWvLpOVDtREi892X08PbByyLz/aGE92eeiPLO3Wj1v8eM85VUAvfq5VL1UQ4k9Gri6PTAL1rxd9K28eu7JPFUevLxRPE+95a+HPT+xFzwuRsc9T6WlvKd7fTwcBQw9qVLTvOpzJz33BJG9vxoMvWZkfbr+Ups9aXRnvVXsN7xnOXu9JCukvAOGlrzsO5O91L3IPVeirzyMsxM5myryvL1MqjuH1Cm9hxMTvXnSIzwggfm8shWUPUODUr2xj7M8EmJivfrKTbx5V+W7NZNdvdCuyzpOnh89HdkKPAfQqT2VZPY8jBIlPU/xXbpg0MI8gVsNvVcAsLxlOj+9wwmgO8QgUr3rqnS9V4CmPHHew7yAlbw9JRcFvVafeL0+4Gc9csG+vN/2Ez2pyZi9Pn1VPY80t7zGNu47gLKovHVNj7yt3QE9ZsM
YCPd13cT05aRQ9uXBVPVBTcz1b44484r6ZPQ2wQj35qhs9mCLwvQnXz7xucxU9VJfBPfxV3L237B29aAl4vFv/YLzO4lo9OaWHPVVUTz1uaVU8Wa3dvN3SXD08nbQ8U0+0PPF+I71NNRM7jRCrvW6Qjj3BWwS9GsTxvEEwhj1gbCm8nTBcPe8Y3DvoHBe8kt7YvFTNY70usRW9wC0APaqHQbyPgsc8gj0NPZs9+jyu/eY8T/jHvJu2HL1MxeG8+GIhPZntkj3SJ8M96g0jvW/3j7wKl+W8Ekc4u1W96TxOEto8z8pdvSKK0r1EcH09x6uBPQkJmLxIAQO91WBgu+/chD0qmB49FPCfPIK57bxHJlg9Mts9OiJaBj1V6Kk95QSEvLAJGj1bSN88HqQXvfs/z7kBm/O8X5H3vKQ+Z72w10o69rw1PW4KbzzHuoi9g2phvR9arD0h7tO7TL2vvDuCvjxi4JK9AnixPYVQPLmiKY68LDIavcFQGD3Dakg8g8WtPGFpNTM
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
MlPLXBlD3J6js9JoOnvcBOBDwxpZG8f/QCPWutIb25L/Y8eXkpvNrZrzxFWF09NdN1vadJeL1ZNbw7oJP7vOG/jbqI0KY99zICPYJ1Ij2de1a8hgjmvFGCFj3zgeK7b+wEPEz91DwbFwa9x0wWPZczUb0BlMA9aumVvEYn37yo3G29y3kJPoDikL1uFYg9lTZHPd8u/DwYnRq+Be9EPDlhgr3c3aW9BXuTPebJjz3//wm+zELoPWitpbzE48O9IzjHvYS7vzzIp6064qkLPR11PL1wBj28n5kFvSREyrzfKx+9dZOxvXo1qzwEAg89VFEevt+N6Lv3GzO9et6bvYYFjL2Z/Xw7yPHePVZjhD1F2jC9GAuOvcQgtr17N1M8QnyuvWLH2L0kyx89cPAyPMDrjD3m5b077ZxTvVAayLxStL09J6mQPc5/jb0ZECa+j5w2vnYZnru2M6s9murlvRjklz367BM9GCFYvbY4yT24Wb49cSjDvKV+y70P10S9FdNtPV6XTLM
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
xK4eE8mdKlPVGs3ryxqyc9BDzVvNvaUb2aocY7t0nQvA4dn71iBrU70ezAvLSXWzunO5I8EpcGPmKUjrzNgH+9XC8bvWpJ4D3ZE2+8wLuxPfeVz7zNekC8dyQPPBz+0b0g5Pw88eyavHdEmjoT0YI9yfw3vrhjHb1qBIG9J8cZvSX16Lz2Y4O9Ay+gux8rhrtr3yO9orWzvBKPozsmYwa+02PTPZK6jr2sk+e9bBMQvTUqvr1lZJk9qC80PZoVZj28reS9S9evu8y8kjy3N029pdaTvcPFhj2utjo9nyNAvsWK3T30Qs69D4MXvu3f+ryHHo+8a6xqPlnh5z2mlj69vZkOvnwqcT3Z/iS9Qd4IvWWfHr363xQ94QKAO+Sgv71Pv/Q9A9jTvSIczb3xlMI9tzDyvSq++jwjkog8NU/9vGI6Gb6jLV49ml/tvZMzbD0LtkY9rdqkvIslAz3l7BK+f1TbPeQoHb6DgSy+2ZHWvOmkGL58H3o9JPsLPrgMzrxVByC+kbM
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
idvfhbMz3QR2I8eAc4vB6rz7y48wS4dVdMvWZFWj2giA68jbK8vAMydr0rJ9y8nP9NvIBTj71n9UU9ticAvpywwDtoiLI9gJtKvZM5mb3JB3q9Q5GQPXBkpLtfGFU8IGbavHUU3Lpl0fC8Ku37vKfpJz39V02935ZPvereHr28qlc9cATmvGoNBLwjdkq8ZhwPPkEpkzyhFiI90oSOPK+yDT3joCg73nbLOFYSXLwhKiO7eE4TvpfWXb0mQFG53pAPvTbbBT7PQpW8eJkYPRFdM72OOf+70wa4PaymMj2usgi+q5GdPaNyfL2cOHQ6G5CTPaV6M75T2m295/WMPdHG2T0Qkgk7zjXBvf09tr2lwKi9j8++PcVHLD0I8Vo9b3IAvUOLCj2h8q88xdGmvUZJaz1x4t29SWe5vWKTujpSdpk9YIT4PaijNbtPzgA8UHPXPSZVaTyarVM9wyk4PbYnv71zzRc9xpuCOqDsx72JYyE9JMKovcofYj1Juwo9ogbSPHCA3rM
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
P0PekfUjwT1Lk9s/Mxvi7F7j294Ya9XKAhvl4yGz0C/gi+RP0XvqVmeLyMxMw9Ti90O+uto7zn7y498EzvPXPxfj2a9mY8k0aCPSEXoL1J9y89Wr/gPHLazb1ZU0c8VmoNvjwXDL3+FJQ9KbeHO/1aiD1PgNm9bQiivIvjTL1rqiK9pVVBvEDshD3WOr+8JInivFzznr0NDAQ9D123vIPVQL3nY8O9aQ+dPcvU0j0lOYa9+KrYvYfIu71F/oi9uZu4PZpsR73triY98LesOyENZT2j6SG91rGVPF4FirvZ4jG8bcWMvTjcNTx5pak9pblFvIgTMTwA8tk8KWcAPqTHuLsURtq7Q84ePcF8kLx0pqo9Rs+OvfInwbwaDse8ds6kvSnf57yNSQE+UGeUvPvMRDyFh/e9oIh7PenhqL1qGBw+9ysIPjh65zwSzqa9miBePZBu7L1gEIm9xjDmPbHgubs59om9eJhUPWrNojyho+O8Evckvg1whrwxuay8lp8iPpf4dTM
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
xv28K9mOFvvfZ9u7v9J7G9RpGIPdBh37w5xgK+C9rpvcnpoj37TBG8yY4kPelI9T2q76E8ogrBPbmbhr1drDG9MIlOvVmHgL2F7Wc9oBWLvPqknTwHG2a7ApjQvY5F47xhpmS9wh2OvIuVRj0JEgG8myoOPRUkTb0dlse9cxOHPXvNAr4cMEc957YDPWLICD1IRLs9LMINvCppLL2ugiy9SmrtPGr/hz29PxU87QaRPFZFPbuCNPC8530EvlmdubxuinO9h8rwvCqjJL2le8q9ssjbPbgDUDyJwX29YwF5vfGcWbx7w5c8lOviOnsizzykPK870OguPXIR7D2MiqC9HG/zO+Efjj1dLDY9SjyoPXEaIL2x4sa9G5HnO5eQfz1j4pu9WF2XOzRc5j110Vs9H0yYO1RWnbz6FHY92P68vdjQ3ry3VGg9LKoQPfWr2T2GoIg9wLEFvpQB5DyTLyK9h4aHvE+RaryFjkU99ubNPEu81ru5Xik9w45GPflrZr1IgMO83kM
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
2wj5i8oiYbu3bPnb19l9M8faaJPNApDz3leLI9HsW6Pe8acrxcyLK9Ek8xO+HNS72WE+s7e3/FuzS0kj2KbRU9SdwZvDiNRD3fqSU7XApKOHA4/zo1/HW9dqwauyd0Q705TZ28OfQCPf9wMr08sQ88WA84Pap5fjzmn5s79jK+PJ6ypjxE+aG8j9AkvZ49Hz0tl0S6CWzHPKhCAD3akzI9uRZwvWFuCT1QuaK7WKnzO77j0Lzplh89bpuZO/1Zaz3148c8Vb2AvBQbTLx29Do8XUgqPYZY8Lw5rQA7ybq2PJH0Lb28nZq92fy+OqUdNj1328a7csRYu5EnpLxLl2k9vESHPHmF07z+qwU9hLcXPTh/irsuY24833NZu1oyL70Bwzc9BosqvV+el7yxeDc9PFcfvLCb2rwpqS48BUMnPV9je73Psje9YksJvUBBHj0WOL+8I8ODu2h6l72x2409F2WMvXJXJjzL7Rq8Oo1LvQ9fDT2MGm28S5xHPVW12jwNyse8HyM
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
9xPV9R0rsRdzY9I9OwvIN3ALzEKi08ABgPPWaYib0GrnO8Df60O9y3LrzNPlo915lAPcIE4Dy629G8vbuyvSgYbD28HZm9FAZuPR452by7Bue74pblvW5YAD2gmwu+yrH6vBnj9Txp6h+9+PajPbptHz01NiQ9Cg7EvKrOiL0JhR+7Jh4PPC+Udz1UV6M9U9KGPQkO77zw9ja9ZpzrPH8qJ73a+w29eVfAPfGSXT2m/E89t9GxvDoVorx0C0O90fP3PL1u8jyUovY67LY6vfHHzjxWchs9I/riuw3qK7w4SEe9IFh0OxjnbT1Icao9CY2ZPVpwDz1IJCu9d2HrvNlYZD0Qyui8oleWPWSCjTvknQe909BSvVrxdzuB7oi9GCxXOhGMUD0bYwc9k72WPemAs7vgQOe7M08qvNjwhLxS4ZU8Tswnu5MvwTwqiDI90ZOyPZxnFz2HcY69+yiGPcIeFT331/q8fVmuPVTs+zyQFMO81Td/vSWyKT1aQKS7bInkPIEk4zM
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
Nwvcr8QL28zYE9zJU1vfkK1bsIPHW8IACUvMfgMD2q0oU9a6WVO1wHPDsW6GU8NwgtvC52uz2New+9yLcLPd6Mbr0F/wi9Isixu6QNGDwllQi9c3Dduo7MBT2Frcq8bfJoPXnRVT2WtU68mZCrO7FlEL2WnFY9pkfrPFv2jL2MuPw7e5iAPNMEGbplII28iWycPHTvYT0dssY7oq1RPXZmXD3N7xa9e5tSvcBCzjzaf5K8Or6wvWEYQzxhzVq9+xFRvTK5mr1jlBk9Odd4Pf71jb2rGKI8lS6oO3bUubp+vJu8osJ+PCKleLzViiU9utE8vZ5uoTxPDJG8GEl1vd19uTxLPBO9S4rpvLPi4zxeK6+6aJTavOf5HD0klqy9YnWUPaCZez3J4eK8NpynvE/xVL2+CmU9/G88vYG4jr1j0Ie8rz2hPdToHT1zy+i7c/fYO0Zaqjz3Gw29GbSMPXD/GD1bZH89YsSrvYy6czqpT409TXWbvKY6vjyCvRW93TbQvLqVkDM
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
JOPJ2TnDx4Bo48//lSPU/nUT3540O98JwhParea70QzSy8p3khvZKMvzmIG828a2CCvUgK7bxEJGk9/C3wPANdUr36oEy9vUiavEeqHD0xYOO8cG4FPpeVBz05rFE8euDBuxGPq70imgo9+slAvPbeRzsRSXA9U+6BPUtAnj1Xeog8J5s7PV1BNL1YbiQ9MYv+PI0w0LxYRQI7ofB7vBF7jLzt+xw8fVb6vFLeuT0Pha69DZxkvAt3dTysNHM9iBoYvS81T73YBYC91BtKPQAZPj3+YUk8X4rXPDVHUb1wCRS95SCBvUeQGj3oWdW8CcC1PJeCgDxA2Bc9Ij2YurPGDbsTLH48zQwvvQG1vz11x7Q8pSXHPUZ12jhdNke9P2iiPLOdkr1HYI88PZyNvWM8PL1/5BQ+VwFcvb9gnb343Ya9jEsivZGJJj17MwY9C9idvKi75jyd0wS9tBg1vDCK2bz2uqS9Fiy4vfaLQjyyi/68N8WwvBVaW7xLLFu9nzACvQS2mLM
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
2bcac9LL1TPq+oc73B+fm8ciNSPCoKAryyD4W8wA4lPHKrBb0T6k49iEQhPY/hYT3n2Zu9GrGmvG/PbT3BFLU9xpHNPNSbQT2Obwi82OuQvP+CwTyUWcQ8Rb2BvVnTuj0bv0893nvYvD8X1jo85fQ74K81uVx+cj2vt9Q9VOh+POr0azz6q9y7MbCFvDRqRj1KzWM85Ed2vRIXtbuuz5g9P8CUPA1dTrzNLJO89AN1vc/BML02A309moHPu2FJgDxzPrk8gjcfPiMV073HC9e8vUqFvGNLMT3ra+y9Ac9IPYpOBb1FCYG8cvC2PNjzIT34w4m8VsT4PHCsaz3FacA92o8fvSa5h7zJQQq9Y59HvfYF/rqJsJY8sDZFvEv+bz2XohI9OnHlvJ/M9jsPfmG9Zic0uqzKMLz2eb09tk5vPWlrNr2VbFQ9KoaQvdZ3kruZb0Y8vs+6vZKKa73jgw49RfasvWqDxbytz6+8kRUTPZXorjz5RHE90D0XPdSmoz306U88N+M
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
124KI8FuU1vbE+p7srX7m9N9B3vbGibD15tbM9366tPfVrJTxJm2g9yrevPBVE3L3myks9YE3nuzPR8zpbKQY+G6AnvJZIZr1wu6+9A0RQPdhbYbtNklw8A6JWvPbowz1z41i9JObfOyRa4zyrtc69bNm6vKubhD0oTwg9POoWO+TbzbyNdwi8vRuBOy2PAL4mHfq9FnImPT12njxGhJM9DDdRPY0Oczx8KJM8bH+ZvWS5mj0bGsa9G0B0Pbp3Y71FSbM8O1yKvYZsZD33jzG+1e1lvfoitD0Dreo8yJSBPaaxVr1AjYq8zWyFvXWVor26iym7C/pSvIXYGT3vYaI9z+gCPY6y4DwLevW8mtRGPRs5mruil0q8yeQgPRuxkT3JAS29RoAaPUZuhj1fgRW9FZlmvTOB6zo/fr482XMSvX9Wfrs65/I8IKhFvB4fYL216YC823ieOhL9jjzU8UU96dTIPK8TZz39B8U71gE8vaUxTLszWLC8F7yuPY3XgL3c2pa8aRM
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
rKvZi7eT0Toxe7ClejO2GmoT1nQrY9OD+MvOqE0LtKJJ28CeMNPZ8zkbxJjMw8YkscPYAIcb1nd7M83xtQPXfTzbySjY09vlxVvBV6Kz0SI8Q8nlXYu4nE5byKg/k87OH/PHXBOD3WwsG8fvOuPC1nJjxTkzU8E08nvQeo+rvAsw88zZeZPGHdDrzVWWI95ZGLPUZDKrxaNia8CQkuPTMnjj31hWY9k37EPNHy57zMJAM80wS7PGzOXL3VD4I8rUxmvR08oLyh8CC9wuI3PHz9rz2KY5w8dflxPVyrUDt6Dxe9fBSBPXXpMz2Z5+O7iY9+PQm4nb0/u2i8nNgSPKqkWry7E/Q8fQBpvVQtwDzQwhM87Ao6vaxdybzc/se8iauaPNxwVT0fh8m6ZHmiPOZSdT3vCn69r1LkvAX1tLyLxL+7dA+Huql5FDlF2o49RyGgPZUzJr1qjUm7Xn6HvNqaJD2Lu8S85IpgO4/Ibb2dHFs9eaMhvN0P4TvUOxW9Sr3IvX1p2zM
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
GcPE7VN7x5Oom9aeRaPW+tz7wbI9m8Te+kvFC1Ur0Bn+W8DLynvAGhBj3eIg89oeutPAraKT0FNci8b/ABvfJgNDuPBuk7NbG3PPpagbwgDpG74avMPOJVgT0k6FW9a/paPb8oyTxg7iC9hpcWPXS1Mz0yq0I97kf2ufOS+jsOnhI9RBpBPW92Zj30xUu9hQ2PvBkKwDy5SrU9QfcRPG9ykb0EC+e8hHJCvfIjlTyS/5E9VwohPQyJobvJsT49M4hfPayahj1uL329UO5xPcjGIjwQr747igOvu2EtvTuLCjS8d4C2PF9wyjyT7om8wkf/PaPhLb1SWVg8/fYKvbGmu7tRsjU9Y9OKOxwhsTw7P449bTf3vGBZwjsJFRc8gGiavCO4oLuW9Xy87uJWPFJ+Dj19jUw9Gxq3PBPflzwOv8G7vBa3PK2CZrx6rwC9v+u7vZCcArw2rPO8C1oBPQnjtb0fYqi8+No8uxciIr1Z+qc9V4nNupfRw7xTvWo8ET5IPCRcpTM
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
zqMeY7AxVjvBoS6D3GGDo7qRkQPXmRiz2rS3G9LwVivQMcTL2OJOE9lp+VPTt0X7xfnKq8qJwDvaCuHb0E9Oo83RdWvdSLgD3JpCM9CHtoPUyWLL0e92W72bVAvQq6jj3sX6y8QMEGveU8sTwahdA6J5hTvYsoI7xMqZk9E1yjvP+0IL36+Ko8tpMhPdt6UD0wVm08LnUOPaoCq71k93O8sd+6PNsKVz3lync9LQTqPN4/j71Yk5A9tUr2vC1L3bwLrTy9pmycvFVnnj3ZJ/g8ZFWSPapkCL1zUSy98SGUupBoGrw5NNg9BaN7vNbOcLtgfFw9tdAcPV/sXDzTegi9RiFDuw90NTyS9ms9Suq5u3JD67ul82Q8OVMmvXYwNz3Tc+W8hUL/vGNQ2TyUBgo8hj/VPEqFMTsFO0o9AVqIO/68qb3UAkW9fuu0PTpKnDx0lLs8Yqq1O0uDgr3goYS8X3Y/vXjCNj0tlOo8AGkTPXGmezyJiKi8S/CKveopRbzmFai9ZpM
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
2xr6U9MOiyPHbq2jsZImy8FETVvNdxWb1KHTI9FJMYvX9MNj0RHGc9FPg3vfqN6r09BaO8kg6nuzzJkzz3WZO88FrUvOUgaj3yNc+9OQEbvTE2ir03NiS98eMaPDOYPL1SBoQ9krZ5vXbBojw0hY+9+y2AvJx1wr0eV4m8rwKXPQVL97zOCs88FVd0PFZ+Erxhone9kbEYvS6vxT0gSAs8gk2dPWSq8b1/Uyi8W4WfvVb0JryXou+9DsHOvELp7D2zOxo9pBSVu1uYa72l+Cw7DdJyvLAmKLykffc8QusuPOtaLzxG7oM87C0fvYQJbb0KtHW9bzoGPcdzmD1YXj+8rpwnvGxpv7zCIyu9eARHPQO9j72S/ga9MOYrvVJOfrxiZCo9mbFjvRdojr2eEJm8/XscvSsW5L21R6e8ehS6vD6eMryqC5q6XVr1vEa3Jjs3dwm91b6kvTNFhD0HOwU9c9eFPb+keL2BdlG9GwXsvSTD/ryM8++9gFK2O9Nciz0OISM9C7M
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
t+vE1/Xj3c2z67hfIFPTkhRz37GUC9QLf7u7O8zDxqGMi8YqwlPXvnsLsaq3Y8XYAIvvJcAT1tmZo9dItlPUornz3xAOk8jjITvjKWkz0QZ3U9oiWrvL3NkjsFip09VEwbPDkbs7zozXI9LOFePbTExrzdsPg8TOy4PMoRpz1MuOk4mZlkPSPZ6b0pTg89m48qPMNqjbxJBIi9MadhPMfWzLxFTH+6hhSmPSrcijzB1k69i6ptvQD+eLzapwA9O5KMPNfwk7xbm1u9s9XZPefXez3LXsO9l4nuO+egkz119hy9QOu5PHJ8KbxtRr49uabuvDT0PD2dkuo8WdUNPWSOhzxYumK961R7vUUiwz0MjJ899xGmOy5ZtL0w7b+867MjvZlKMT0GtCI8DSSAPbAhHLz316Q8dWLgPFphej2z9cy714lkPRhtSL1Vc0w8qVUSvW+zIrxAVHC8X/wuvcwvWT0E0pG88y8EO22gnzx5iVa9ym6tvQeRRz2NQ2s97nwTPSnJTbM
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
38dwe8FzkVvVQoWLyqnSY9J65nPPYwybxQ3A+8pXcjvKcNvDs1C0Y99oKbve4QVr39NAg9At5CPZL+GzzciT09xzOWPT0afb2q6jE7ww8aPe2tMbxHUhC90RKQPL0IYj28X3680fspvUzEpL3wBJe6GYUBvrVzAzwNtxO9KmaPPJnEAT0Ss+S8Zo3YvP1mgjyVCG+9YO01PJt/KL2LWt49y8ghPfmH+zwx/xc8Y/FzPb45NL1fb6+8kw1ivWiAfDwE2ZQ9BKszPUuKNb34dLm8bceRvCOGIr149u47A0+hvLMTDj1ZDhe96ZRYve+Dcj10vms9we1qPYlNDT1oDAK92Y9NPfizCb22/Ym9Q2LGPH6vHr1yKG28qUenvJSW9zwHnyK8ispRPCPUprxl1YM91cFZvTmWXr3pyhA9rrmlPKMe3T3C3Nc8EXZkPVjXhjxI6nK9K4NZPKazuTy9cnY8AQGEvPizIb2vk528aGOdPewVmT0wPhm9XyrmvCnDZD0g+BM9QVM
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
GZPbgrhD0h0LU9Y+brOv4Y67zo+4c8+GegPdE8tj0aWwC9prQvPT4IhD1TvJS998mGPSjCojzuhTo9TUqEvQDkfD3BeHw9qdBBvYDDzz3RdjA73UAXvt/yyz04YEk91x4XPCs0OD3dM3U9HoQivODyUz2pPWQ98+qqPXOSwryJJ3O8Rt98PT7vKDt9UAG9kT6XPYS13L2vh3E9v7/dvNPd9zw2fw29ujd7PWUqhrzuQhO9vfGwPKfaJj0+plu9fQ8RPVg5/D3Q1NG6b5ztPGMD8rz26pI9yCWRPSYBTTzXrw++9jyWPVH7cDx/CyC+rh6UPQLwkbwf66i8L7f9PA59ez2Sd/89/joHvVP9qjoibSI8rN1ZvVx5oz1u6TE9gnmcvVnTSD0w6A49rMgbvv4XYz0vW0u96z7/PAkiR7xpyRU9xilhPRVYNzuMoIG8aQaEPXYIP72DdWk8S3Z3PIvHxbzXJE89e0QKPUzpML0TPv48bMQhPmQP2z0ycA89xV4Bu4mrDLM
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
y+vUGelT5yVSA+xUy4Pv0Dpb6MMtm+0juzPfrmD77yE/O9XCb1PkEXrj6Lgqc+K2IMv1NDLb7kHK6+z4rpPlLwbT4r2qU+ub0svrJ4Pr2th0a9LxPUPmk2hT6IdNc95+X7vuHXeD6EqV2+QwD2uv2Mkbw=", "training_traits": {"structure_gen": "Symmetric", "n_layers": 5, "max_nodes": 19, "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:M
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=n;let i,o=0;if(nM
<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.nextStateTimestamp=Math.rouM
nd(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.nextStableTimestamp,rebirM
thCount: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(dr(c,map(1,0,1,.M
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)]}update(){this.centeM
r.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=[];for(let a=0;aM
<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.push(new E(t,o,lM
,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.reflectLine(t);fM
or(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(215,24.6,185,11.4,164.8,11),M
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.bezierVertex(211M
.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.bezierVertex(287.5,.4M
,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.bezierVertex(252.5,458.4,M
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(46.8,164.8,53.5,143.7,71.1,126.1),M
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(316.9,12.6,338.1,23.5,358.1,M
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),e.endShape(),e.M
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.bezierVertex(66.M
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(129.4,45.8,133.4,43.2,137.3,40.3),e.M
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(438.5,125.8,455.1,157.3,449,18M
8.7),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(86.3,365.1,85.8,364.1,79.9,361.M
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(109.1,296.199,106.6,293.4,102.7,292.799),M
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),e.bezierVertexM
(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.bezierVertex(162.2,60.M
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.bezierVertex(208.6,27M
.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(223.8,113.499,220.1,112.699,216.4,112M
.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.bezierVertex(190.M
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(288.1,346.3,279,350.9,26M
9.7,358.3),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(289.3,147.5,286.7,M
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.vertex(336.1,46M
.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.bezierVertex(34M
2.7,118.1,322.2,139.1,317.8,167.8),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(431.9,182.3,430.9,18M
7.7,429.1,192.7),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(433.8,294.7,434.5,294.3,435.2,293.9),e.bM
ezierVertex(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.endShape(),ie(e),e.M
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(95.9,173.99,96.4,168.19M
9,102.2,168.199),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(197.4,208.99,199.2,208.2,200.9M
,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),e.bezierVertex(1M
77.199,390.5,156.699,371.3,132.399,370.2),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(140.899,343.4,141.5,M
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.bezierVertex(178.M
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(279.4,210.3,281,209.6,M
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.bezierVertex(365.8,226.5,M
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(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364M
.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.bezierVertex(305M
.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(385.099,366.699,387.M
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 floor(random(e,M
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 Date(Date.now()-e)M
.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 new G(this.mat.M
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,H.__sigmoid);stM
atic 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][i]+=e.mat[r][oM
]*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 null==this.actiM
vation?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.totalNeurons),r=n.reduce(((M
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.forward(e);for(constM
[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"==t.class_name)M
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(Float32Array.BYTES_PM
ER_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]&&"inherit"!==aM
rguments[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 HTMLCanvasElement){varM
 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.offsetHeight,this._pIM
nst&&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].trim()]=i[1].triM
m())}}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?this._detachListM
ener(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[Symbol.iterator]()M
;!(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.length>1&&"string"==tM
ypeof 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),ee(n,this)};consM
t 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/json"===r.file.typeM
)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{var t=document.imM
plementation.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="344";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=!1M
;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(e,t),Ke=createM
Graphics(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=min(width,height)M
/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","#cc313d"],["#60A900"M
,"#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","#ff0002","#f26522"M
,"#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.addEventListener("change",((M
)=>{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.toUpperCase()))]).M
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",width/2+75*le,heigM
ht/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 On(){Lt=!0,wn=nuM
ll,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(),vt.hide(),ztM
.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.hide()}function M
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.$artworkName=`Perceptron #${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),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,tM
)=>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=[];for(let n=0;n<Ce[M
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++){for(let e=0;e<M
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:height-ae/8},rM
=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 $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])M
}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.M
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=max(...Se.slicM
e(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,De=[];fM
or(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(){if(!bn)return arM
(),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,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.texM
tAlign(LEFT),$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*le),Ze.fill(ct)M
,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(),et.image(Ke,0M
,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],0,1,2*a,0)*le,o<M
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.strokeWeight(1*le);for(lM
et 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/2-357.5*le,height/M
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 belongs to",width/2-M
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*le,460*le,110*lM
e,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)} years old. It
rowing 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,height/2+210*leM
,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&&(l=50),[f,d]=rr(M
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]+'"';else{for(let eM
=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(){const e=45*le;qe.tM
extFont("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 #"+Et,width/2+285*M
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:",vr(new Date(oM
n))]],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,width/2+5*le,width/M
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),je.strokeWeighM
t(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.length+1),a=colorM
(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=a.drawingConteM
xt.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.rectMode(CORNERM
S),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.resizeCanvas(e,t,!0),etM
.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 ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="HoM
wever, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition isM
 fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleM
String("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${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",20,1]],Vr=[["194M
3",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],["Flips",74/14M
],["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 Cr(e){window.$geM
nerativeTraits={"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}}
cript defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b5c9f2bbc41a1e6","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script>
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"nods","amt":"100"}h!
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
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
0{"p":"sns","op":"reg","name":"OrdzGames.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
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":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"twit","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"stat","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
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
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"PIGG","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"mems","amt":"100"}h!
Bj@=:ETH.ETH:0x87002b1eE2A0F90cc8608384d01eb5357712E35b:23774597::0
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"foot","amt":"100"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"OrdSwap.unisat"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"lama","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"apps","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"memo","amt":"100"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
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":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
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
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
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
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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5565.unisat"}h!
text/plain;charset=utf-8
0{"p":"sns","op":"reg","name":"LayerZero.unisat"}h!
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
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
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
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
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
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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"wes.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"aris.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"nila.unisat"}h!
text/plain;charset=utf-8
/{"p":"sns","op":"reg","name":"niclaris.unisat"}h!
text/plain;charset=utf-8
text/plain;charset=utf-8
  "name": "LLL.unisat",
text/plain;charset=utf-8
((((((((((((((((((((((((((((((((((((((((((((((((((
text/plain;charset=utf-8
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"claire.unisat"}h!
4d/Foundry USA Pool #dropgold/
text/plain;charset=utf-8
/{"p":"sns","op":"reg","name":"burberry.unisat"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"ins.unisat"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"youtube.unisat"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"iwc.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"4999.unisat"}h!
A 1/1 from @pourteaux that uses gradients and colors matched with compleM
ments to form a meditative stupa meant to fix and soften your gaze. This piece was hand painted pixel-by-pixel on a 64x64 pixel canvas.
Fhttps://cdn.generative.xyz/upload/1681180470223034173-1681180470-1.png
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"nope.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"LVMH.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"dope.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"check.unisat"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"hublot.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"club.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"MAYC.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"koda.unisat"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"invest.unisat"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"person.unisat"}h!
text/plain;charset=utf-8
/{"p":"sns","op":"reg","name":"MERCEDES.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"mode.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"ford.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"info.unisat"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"PORSHE.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"lambo.unisat"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"guy.unisat"}h!
text/plain;charset=utf-8
{"type":"btcdomain","name":"energy.btc","first_owner":"bc1pwhntjwqxy4g0j2uvpl7df2akae7se77uf7hlvcu2e0mjktwhwats60fg0w","createDate":1681175340765,"registerDate":1681175340765,"expireDate":1712711340765,"img_url":"https://btcdomains.io/images/domain/energy.jpeg","sig":"3044022002366c05b615efb2e5073849c81bbc7220cc1f02bb231e20709d0523e47d7ba20220076bb242e106ea64e2daade17bb6ca1e4e022dea60765b695bd4c03db0050d3d"}h!
DjB=:ETH.ETH:0x5037D122bBB32C55A3D318dFF9bA445AE9BaD807:98812428:te:0
Bj@=:ETH.ETH:0x929Ff51B274a4Fa3367d6f60Bb347EbDd5E9A6A7:14295550::0
text/plain;charset=utf-8
{"type":"btcdomain","name":"cryptopunk.btc","first_owner":"bc1pnw4hqka09x32p8dqp0hq6hl8cmnpf5s3rxyv3ue2w6jrxk07790sep9rlr","createDate":1681167462472,"registerDate":1681167462472,"expireDate":1712703462472,"img_url":"https://btcdomains.io/images/domain/cryptopunk.jpeg","sig":"3045022100adcaf904cad8d9a139a9b2f0a7a2e9e26d9dc31bd172ec3dd2a5bcb9dfa9d5be0220204a73934db1dc0069cbfa14a2faf8ffcb387979d5925620d60f963c38ce0cce"}h!
DjB=:ETH.ETH:0xD5Bc71E29290Ed757FC4f2DC5A7F56aC4f68b55E:47545968:te:0
EjC=:ETH.ETH:0x7564899245Ad46c7BD270FE27A255d9fCdC95dB2:106300152:te:0
KjI=:BNB.BUSD-BD1:bnb1kc30qgm5xwwpfuc3kxgpz00crr94qeu366alhn:6453573291:te:0
/ViaBTC/Mined by b2cmining/,
text/plain;charset=utf-8
{"type":"btcdomain","name":"zhugong.btc","first_owner":"bc1pv6fgkqsvmw5raenuhm3h2sync0zt79yzed2gwn4ungw8wv6wyxfqcgs6zy","createDate":1681179876740,"registerDate":1681179876740,"expireDate":1712715876740,"img_url":"https://btcdomains.io/images/domain/zhugong.jpeg","sig":"304402203ca797ee8572147eec6bde80fa1fd27f89eb5a3fb872019c37af9eb4ecc29d77022019d0934fc5392a5bce3e6542fa0015cc7e1b415ab7adb7283f00a6d6b0ce66ce"}h!
Bj@=:ETH.ETH:0xa0F7FFe0e06385f34b05CCCCb301A1a0D4675AbA:19105430::0
FjDOUT:9D24C1D73B008A3C5B45C49B5AB496B1D9BB82655021DFE1B4B97016ADE7F87D
FjDOUT:84C87D903C9EB18ECBFA7C53040990E343843AAEADCD394AC1353C7657503EEB
FjDOUT:37025BC637308C7BF916267478BE070265AD9BCD0EF57FE0FA3803F25A13B20F
EjC=:ETH.ETH:0x2410304d12A7518279aBb2b9E402766120191722:577201521:te:0
text/plain;charset=utf-8
0{"p":"sns","op":"reg","name":"sanhattan.unisat"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"sanhattan.sats"}h!
FjDOUT:FA0B563E0D227B33FBDD04DDC55C092329002C58AEA217214F6D42A658669A91
FjDOUT:720B5B34D361A1A764C140E81630C30DE9604424511D8FA54A957758D8282C50
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","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
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/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":"visa.unisat"}h!
text/plain;charset=utf-8
/{"p":"sns","op":"reg","name":"btcvirus.unisat"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
{"type":"btcdomain","name":"jinse.btc","first_owner":"bc1p5nq402cxjm5kqsrluzqa7wpv0fp9q7uz0t3alaqnccvqzw9lhm9qk3tpej","createDate":1681180055724,"registerDate":1681180055724,"expireDate":1712716055724,"img_url":"https://btcdomains.io/images/domain/jinse.jpeg","sig":"3045022100a00c2eba0c1f7ec97e6a43732bf44bf9fb067dc2f2e87c7c7e224de7d0ccf98502205e545fbd68262807ed4a4f81a72046617d8fe977f94e2dc93749cc8cf5d27211"}h!
text/plain;charset=utf-8
3{ "p": "sns", "op": "reg", "name": "nanning.sats" }h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"america.unisat"}h!
text/plain;charset=utf-8
4{ "p": "sns", "op": "reg", "name": "shenyang.sats" }h!
+;,/35888!*=A<6A2785
$55555555555555555555555555555555555555555555555555
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
QjLN=:ETH.ETH:0x57E7328C224D29b30249B37BC5b952b75fDb76E7::t:15:02:B48:771396911700`A
text/plain;charset=utf-8
{"name":"HashKey Digital Asset Group Limited","symbol":"HKW3F2023","uri":"https://bafybeiba5l3awnvpkuug6ah5ywgm4x354eejieldf2oa56pclnijw5zgge.ipfs.dweb.link","hashrate":{"hw":"FPGA-X6500 FPGA Miner","date":"2011-Aug-29","efficiency":"43000 j/Th"}}h!
text/plain;charset=utf-8
2{ "p": "sns", "op": "reg", "name": "Amtrak.sats" }h!
text/plain;charset=utf-8
?I love you, dad. You will always be missed. Rest in peace. 5/21h!
((((((((((((((((((((((((((((((((((((((((((((((((((
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
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
text/plain;charset=utf-8
text/plain;charset=utf-8
text/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
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"Sato","amt":"1337"}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":"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
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
5{"p":"brc-20","op":"mint","tick":"coin","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":"Sato","amt":"1337"}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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"Sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}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":"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
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
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":"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":"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
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
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":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"Sato","amt":"1337"}h!
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
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
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
5{"p":"brc-20","op":"mint","tick":"Sato","amt":"1337"}h!
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":"rssc","amt":"1000"}h!
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":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"Sato","amt":"1337"}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":"coin","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
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":"Sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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":"rssc","amt":"1000"}h!
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":"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":"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
5{"p":"brc-20","op":"mint","tick":"Sato","amt":"1337"}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":"Sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}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
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":"Sato","amt":"1337"}h!
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":"rssc","amt":"1000"}h!
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":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"Sato","amt":"1337"}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":"Sato","amt":"1337"}h!
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":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"Sato","amt":"1337"}h!
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":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"Sato","amt":"1337"}h!
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":"Sato","amt":"1337"}h!
4d/Foundry USA Pool #dropgold/
4j2DC-L5:e2WwsXrrhbhbly0MKOb1Affh38FOQJkF3LseKfnEjEw=
FjD=:BNB.ETH-1C9:bnb1md9slnqnz7qu07qfllsln29hvq8z8edy8fwgnc:29925385::0
text/plain;charset=utf-8
/{"p":"sns","op":"reg","name":"santiago.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"chile.unisat"}h!
text/plain;charset=utf-8
/{"p":"sns","op":"reg","name":"coinbase.unisat"}h!
Aj?=:ETH.ETH:0xc60b52B1Bf532cEa6aaE76ad1a486B6B05Ba0E3D:9880598::0
Bj@=:ETH.ETH:0x929Ff51B274a4Fa3367d6f60Bb347EbDd5E9A6A7:14494725::0
Bj@=:ETH.ETH:0x9b4E99c1A2f35A5F121AED484500dFD3f63918F6:21498155::0
JjH=:BNB.BUSD-BD1:bnb1vfphu98mzrxl0q9kaufcf7sn5unnd4k268xyq3:44259485481::0
Collection Description: Out of the cryptographic shadows, a new world orM
der of decentralized power shall emerge, bound by the blockchain, united by the token. "Illuminato," is the the world's first hand-drawn 1/1 Ordinals collection launched on a BRC 721 contract - playing with ideas around crypto, creativity, conspiracies and color. The 41 distinctive images in the collection are made up of simple shapes and color to create visually stunning and diverse art that seeks to push boundaries around what is possible within limitations. Each unique piece in the Illuminato collection also staM
nds as a testament to the endless innovations that are taking place at an amazing pace on the BTC blockchain right now, all while Senators gather support for
Khttps://cdn.generative.xyz/upload/1681181579701611178-1681181579-3-min.jpeg
CjA=:ETH.ETH:0x8e5E41eA5383C747A797804bC2070E10FE82F4A9:1722532:te:0
DjB=:BNB.BNB:bnb1talnxmkyp5mykg9sd2xe0hfyppql0u7g76ge2f:41938651:te:0
LjJ=:BNB.BUSD-BD1:bnb1kc30qgm5xwwpfuc3kxgpz00crr94qeu366alhn:14717203373:te:0
FjDOUT:079C4B847FB99111A1DFBF758B2331BB4384E2AB816702D882889FF28CF27079
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9799.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9499.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9899.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9599.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9399.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9199.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9699.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9099.unisat"}h!
FjDOUT:F09F65C9C7FEC9C10E5DEE02551C344F0558C5E904EBD139F3C9484D3DB0A8CF
FjDOUT:357AF9C6D968A4E541C134125631486332BFD45EB99D3AFBDD69183554BB5C9A
FjDOUT:D6E5452150A0BB685CEE1227D5089CD868C07039D4F44F0D2FDCB3515E1C4137
FjDOUT:A399AD281ECA3B3762E32FF25E4568321531ABD20BFB9E90E07AF1291577EEC9
4d/Foundry USA Pool #dropgold/
FjDOUT:D49DE91FA7ABD4548356C49235E8E2EED1968872B55C97425C041D41F2924A8C
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
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
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
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":"game","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
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
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
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
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
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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
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
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
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
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
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"game","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
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
D{"p":"brc-20","op":"deploy","tick":"snye","max":"99999","lim":"100"}h!
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
+{"p":"sns","op":"reg","name":"0690.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5585.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5515.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5575.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5535.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5595.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"8698.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7697.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5525.unisat"}h!
text/plain;charset=utf-8
1{ "p": "sns", "op": "reg", "name": "lhasa.sats" }h!
text/plain;charset=utf-8
:{ "p": "sns", "op": "reg", "name": "sothebysrealty.sats" }h!
text/plain;charset=utf-8
){"p":"sns","op":"reg","name":"8a.unisat"}h!
text/plain;charset=utf-8
){"p":"sns","op":"reg","name":"m2.unisat"}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":"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
5{"p":"brc-20","op":"mint","tick":"coin","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":"Sato","amt":"1337"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}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":"coin","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":"Sato","amt":"1337"}h!
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":"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":"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
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
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"Sato","amt":"1337"}h!
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":"rssc","amt":"1000"}h!
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":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}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":"coin","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}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":"coin","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":"coin","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":"sato","amt":"1337"}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":"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
5{"p":"brc-20","op":"mint","tick":"Sato","amt":"1337"}h!
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
5{"p":"brc-20","op":"mint","tick":"Sato","amt":"1337"}h!
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
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":"coin","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}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":"Sato","amt":"1337"}h!
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":"rssc","amt":"1000"}h!
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
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}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":"sato","amt":"1337"}h!
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
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
5{"p":"brc-20","op":"mint","tick":"Sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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":"rssc","amt":"1000"}h!
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
5{"p":"brc-20","op":"mint","tick":"coin","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":"Sato","amt":"1337"}h!
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
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
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":"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":"sato","amt":"1337"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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":"rssc","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}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":"coin","amt":"1000"}h!
text/plain;charset=utf-8
;{"p":"brc-20","op":"transfer","tick":"BRUH","amt":"500000"}h!
text/plain;charset=utf-8
;{"p":"brc-20","op":"transfer","tick":"BRUH","amt":"500000"}h!
text/plain;charset=utf-8
;{"p":"brc-20","op":"transfer","tick":"BRUH","amt":"500000"}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
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
4d/Foundry USA Pool #dropgold/
text/plain;charset=utf-8
/{"p":"sns","op":"reg","name":"facebook.unisat"}h!
KjI=:BNB.BUSD-BD1:bnb1hqxusl7p4fvx9cup63amsw0z4mvd07v0fmmlj5:444644364033::0
CjA=:ETH.ETH:0x5F9B08905A7EA82519e0e0C57C8aAf9A8c1Df5c3:402337597::0
KjI=:BNB.BUSD-BD1:bnb1kc30qgm5xwwpfuc3kxgpz00crr94qeu366alhn:4406120809:te:0
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
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
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
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
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
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
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
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
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
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":"game","amt":"1000"}h!
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
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
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
5{"p":"brc-20","op":"mint","tick":"game","amt":"1000"}h!
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
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
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
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
4{ "p": "sns", "op": "reg", "name": "hamptons.sats" }h!
text/plain;charset=utf-8
4{ "p": "sns", "op": "reg", "name": "navyseal.sats" }h!
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
){"p":"sns","op":"reg","name":"m1.unisat"}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
{"type":"btcdomain","name":"8899.btc","first_owner":"bc1ppu55gm9cyxtdz8yrd5ggplurdjvd47087p75m3f0r0rxjh5k34yqa6a2gd","createDate":1681181691977,"registerDate":1681181691977,"expireDate":1712717691977,"img_url":"https://btcdomains.io/images/domain/8899.jpeg","sig":"30440220027c229201380839cc0a8d943d095a3ef7c39bce4034cb3251dad5261c83f5830220566e632aa6f19e79593707ca84ac0797cf52a457cc5309ebc279266b7e75a328"}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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
4d/Foundry USA Pool #dropgold/
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
FjDOUT:329AAACDD379075246D5B11022D8856F10FFA9B12C9396B5CFA9C62C20B2E536
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
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
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
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
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
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
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
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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
{"type":"btcdomain","name":"0023.btc","first_owner":"bc1pps0f82t5fqw8c977hxznzz9helpzfp53vpq0rjufkwcseln5dthsswulyl","createDate":1681182468254,"registerDate":1681182468254,"expireDate":1712718468254,"img_url":"https://btcdomains.io/images/domain/0023.jpeg","sig":"3045022100c862827161a20697ff1fbb8ce04e28b9d4dffcfddb1fd068e325c9d855fd8f3e0220322517457253dd6cf31c59a488aa2ea83d306465f9cc9c2f537cabbbfa07e5f7"}h!
text/plain;charset=utf-8
text/plain;charset=utf-8
{"type":"btcdomain","name":"0025.btc","first_owner":"bc1ph7tvcghm5x7u53h66srvsuug4xyj60vl52s45f8dqh8d68gc5m5s9ze9fl","createDate":1681182627376,"registerDate":1681182627376,"expireDate":1712718627376,"img_url":"https://btcdomains.io/images/domain/0025.jpeg","sig":"3045022100bb85b73cd365c9df0fdbba9a7af8b91b274af49fb5c8a66b8e2455cf59c1a8f50220533ef41b4b8831df19f6d09bb88b19273fad72ffd3af9c747bf734e30187cfa7"}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
!22222222222222222222222222222222222222222222222222
%&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz
&'()*56789:CDEFGHIJSTUVWXYM
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_579", "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": 9, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 8, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 7, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 7, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 7, "activation": "relu"}}, {"class_name": "Dense", "config": {M
"units": 4, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 3, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 3, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "EqQDPM46fbzY+4M9Go2+PLOvBr64FMu90jojPbKlkL2rXdq9q5QQvY19lLvhnRa9pwHUPPRb4rtM9029wMSMPcuwuzwW68+99bwiPSfajzx/+fM8NbA/PZqDiLygyrO8Nql1PWsfiT2JD4y9tTwQPVedIrwaIQY9R8c+vSmCRL036Zy9rLiwPMM3Brz3R5m9Yz9hvQiTFD3JepG9x91EvX+oCb1sKyS8vqnRPYDfkT2VYQ6+ucEOu4v2hrwM
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
XPEqGy7xp25m9GkqnvXGBprwtAY48UO2XPQ7CEjzHaPa9EnSnu2cR5Tx8T/a7jEO9vPjSAb5X5hC+0K4qPSNQJL2i84u9M+wyvbD1L73j4h09tCIvvgZFDL7+9Xu9XfNPPfE5F73ODq+9NN4WveQ4TLwzuPu9vJcgvacrvrye67i6Hum/PRIKuL2nWue9WY2/uto28TwbSJa74LyzO7Y1jr37K+69hwsmPWJ8vrx07X692kZ3uyA4ELnRyIo96dw8vvvXjb2aaqe95T2UPY4EO71F2c28QnBVvZt26jr3DAm+GIG3vWkOpzwCuKU8NY4APu6KOruZdK+9bpwSuuAIA70Ecqm9fkIwPDa7gb0dc8m9FGeQPSnHEr0eGdm92ZQnPB2bgL04Qlq55ftqvhVYk73fvp69iAemPT8Z2b3zEYq9JM8GPUeWT7wNPAa+MhySvRTdPr096jk9y8kSPvJKP7yr1g2+iPhWvAZQhL2Wh069Rmv7OytH3L36KNa9+XjLPZ5wwrwM
FdZC9ZJOzu4f6C71NbO48oEOAvqcLl7164dS9q2StPUXblb2WwbW9jv+8PAXSnb1/pTe+1QkwvJqHmLw3Qau8aw7gPfqxK72rxtm97DHcvJmEWTxJbS+9duP8vLS9B750Hy++ur6OPRWrqL0nPQm+zpL1uyLC47xgObu7CfRRvh4rCb608hC9lJ85PWuGGL3ce7G97t+lPKGJ5LzuatK9aaOpOqlZlL1D+tu88XITPsvQs7xHvfy9JDIgPfwUJrzld4k8Y5YKvah51b0Rzbe9TgeJPNvcDr1FM/C9Udc0vWOQPDxkvAG8mF1svkXK3L0qX4q8A8iKPBhHwLxpZHC97L5SvSd5kr2FKjq+0thjvbcDjr2TFB+9ZKjaPZg1BrxiYh++/SfSPGHNeryi1Hy9RNnbPJaijr2UYva94RHDPGXehr0ywfK953qAPH0bTjq8Ma07qUZ0vh2YfL3A9I69FxeoPS+6wbuBqcC9TtSXvXuF9TtNTT6+SsRuvfIe8bwSxis9+k+M
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
tBBe+Uo3IPI2B1jzGswM97mOjvI0Fhzz628e9Ede2PJ6BSz1BuRu9cO8SPQYuA7tx5oM9bbEAvubCRL0rIbC8PfJIvMHN3DxW3pS81Qt0PdW9xrxyToq9N2UBPepLeDvd3YK8erpOPZJ0GzytGw2+9sMxPcLoTT1IViu9v9GsO9aYkr3fo4W9Eh6EvGQngD1gD569Jmc/PIwyhryue4C8s38pvn5OZr3zFIC9/zA4PbIuyr1Iis29TJulPEtvuLzJHrC9zW0QvW3WrLu9u048OTEaPRS7XL01J/O9msChPcBajr3q5zu8xCg+vDLoML06oAK+KxWLPK3YOr2zwP+9PYlovEzWob2JeE09Aw50vs51iL3WUzW9KCqrPS6ZCb3YVqa8jrEku3eBp7y+K8C9zSVPveqHkb2a4LM8viXPPRyFWLyYeBm+mMAiPJaHcrw9AE+9d6QjPU4nwL0JCC++4v+WPfTwPL3pmxK+e68gPdy3RL0+iYQ7/3J1vnsg670O+ai9lxAM
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
TuYWmjL3iHry8mh+kPIdLk71irg6+ckgqPZdMGbxnU+q9I++gvOwJer3pTa08VqCCvoYTUb2X9H29vmTQPV1QNTx3QIG9EEfDuzDOuL3GGQW+S/u2vYDkkLzdjf88o8gNPqrpu7yiQBu+BEm+PAQNBb19CVw7z1eBvZCHW70f0QO+SHzCPViCYb3FTbO9QrzcvAyIMr0tCwO8Hct3vv0eYb1qedu9QOOPPQ8kuLyqcsS9K8YHPEuuqr2tFTq+6L1yvQreAb1eQEG9LK3PPTYPubv4G9+9xI57PVInzDxHMI69OufoPMRL6703Fi2+0h7bPb2Xfr1FgcS96f50vLhTl7y5k7E8SzltvnLmFr3ATdq9CxyqPa4Fm7xGlQi9W3VTvS3cLrwhUSO+PdhFvfJsGryhGfc7N9bsPQw8Rbr33h6+dNVvvImGBLvlyH69ix0pPWV+W7z0dCK+UCobPGSQDL34otW9rCgiPSQH6bzCYFE9KkUkvhQ9PL3lesu9VRuFvOLDFbzM
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
Lh+y9DXICPJzUBD0+ABI8/NE2vuESTL2BVvW8YhbzPLoburzmKRA8kkMBvTABVT0EHra9S5gQPKG89TwhWZe8VR1dPa67Db3JyRW+jKjAvCs9EDxJ1AC9hoFZPAa1yL2qQRu+Ys6dPDh/7TxRR5S9iOIMvcR8Rr1wq149H4RavjmpGb5AscK9sIKfPYR5D72cSrK8F+9EvesonjxyXN69p1elvfW7J7384Tw9IswKPu0QEb1SrCO+HRkpvJReoLsrLM274cMDPTf1p70m1C2+ArxJPYxZX71bXuK9iBaaPPMZfr3gvdA7RRN3viScJb6r0Ei93U+XPY4Bj72EyIG9iPRGvI2mpryyRLe99irvvCiqh72jJue8wFDKPeI0p714DQ++Lc+IPQerurxq+Ei9lxx1vEy/Dr5P0bC9rVu5PSZxVr2pdb69XZPGvNotAr0Zz/g8SCwmvoY3xr1/oMa9USMPPRXOh72FzzC8l9wlPGCKfb2ucyW+oF36u4Wikr1LH5G74hKM
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
ovSu5vjx0odO7y65GPP9WUL3rEui99g03vHANX73NUEK9lzaLvexHVbzyYMW79dH2vHsphLxFJOS8sjZRPWfcpb0g2ee6gPD4vYl/1Two42i9lFVVvcFbbr1dNJm8Z5CVvImjQ70CkVu8lmQevMOhGDw2mW+9MdMqPfTNA7oDof69wzY7PSWZz7xglIu8TIw8vCHVKL3a6Fs7wUwTvTxziTyn8zq9ODN2PXSDgr3IEQ48ktbkvSSgFb1bQv+8GzMvvX95ID2yPP+8siALvc0jPj0UOdU78Qqrui/Z97spCam8+vIpvUueFL39Equ9c3VIPC+h9rxo5VA8/KJ8vbODiTxk4LG9k3mBPYTqCTzcESI8cyYYPdvsgL2YoIu7RbaDvNQW+bxsTbq8jB0jPRyPSr378Re9x+DGvQ+Qg7vnRdo8VVZfPACuLr2Ef+c8Buo7vhgWYDwAM7W9+V1HPURsq7wm7y69OABtvKhNkr3QjSm9i7TePJivkj0eY789LCujPVgZ57xM
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
38q69uSdMPRRYU733JHA9CwxKPUdlwr2DC4w7QNP0PFc2HL5kUY092W2UPealwjyQxXO7cb0/PJguMLxW3WA9QN2xuVk3EL1JUFa83d5vveHpkbz0Xem7CPg/PiCoUb23FZm9UlCZPRC2Fr5IrhG+IPyaPOQyi70TkxU9BhwdPeoGFb7H4IK9n2qkPZPzSL7ash49SjQwPepzZT0KHxS9LmwCvZyaAL0GR8G7qim0Pf897b0yysy9DTLHvAXv4TzxiA++qzsCPsXaSbxIuh68tmvPPeWOBb4/ks29Rt8uPUcZHb3uFUQ89C4ePQjYnL22kBW9senLPfNCF77y4Ce8IhB4vNqLDLxoW5u9XxpZPIvnHbogfoq8Lf/QPEzZJb5GgGq9BtMCvrVtmLx/hL+9RJ/SPJA+WL25/cC92910Pd1v8b1p/oO92VUkPMHIjb3y2Ey8dj+YPL+/Ur0uNK08qzAOPpsgEL7j//M7/y/TvcRSWb2dFSS9jNL8PLTxsbxWTgs7Q2sM
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
CPSXSBr6UN40632fVPLEBWr5qMbk8rTcyPcC2pj04Qq29qxqePHSQ1r0oGU6918E8PUO/8b013SY+D8nFPH0OpT3sXrI8VY6HPKDxfj2NW3E9r/XqvE7WiL228jk9QbKsPYxuXr04bLG9GATiPXsMpL2RubK9vgOEPSg5Mr5R0vG9ksWDPZ4rm70JwxA9PAMTvUGr9r1YlYO9mXmePQY7ML6DMAA+m13MO1k3Q703GV88uCt3vYAwfj3DpU88j1MOPS+nrL18qvE8ePRAPR57jb3et9a8sDBLPXsttLy3U7q99LD/PY7XXb53QOA8kIbNulQa0byhYF49GMU+vBg3Pr1h7A6+WgxRPAVx7b1WB38+IVuGvJ7owTy/TMm87loRPIwinz1u+4s9NNuPvPUQo72mtOU9qoZ9PHPfpDumHIa9bqRTPXkeOjsrOA49y9TXPYp+oL1aIhC9eVvLPOa+kL3erAk8WItuPP/8mTy0TCa948aGPOde671eH7s9exYPPRG+jD1M
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
YY9o9S3pyPep6ED3FvI6+OCPVPUXDpL2Jkvm7lPDSPSlSnr71jbc9J06NPY7g6j2XRN+9Ne4GPkwlFL7AUNU7VXbZPZ3vhr6tPDc+9+s5OiTMyD1jECC+FN+yvGsMyjyjgw49RQyPPCzb0b2hA489Ox7qPcatEjsjrcS8mQuwPaN1Ij3rbbk8aWd5PRao6r3xISo7jtr0PR1aNjzPCA29VSKDPZSmkzxzdZC8aCmKPU7uGzsQ3Ze8HWRIPYsH6TyIic49bxl0PZT1vj1fd7c9nBstPUVgGD3xgrS9CQpgPGSVy739ddw91/4pva4uAD7+JeE7+mbruxiJHb0IVjK9V6owPSn+ir2VYGc9aS6ZPYuKAj6hPG89DM+gPS8erT2Dsim9hQm+PBUrp7xMXXc+OyI0PToTND3JHTg9UwjSvCL6KD5ewQ2+u7XjPYYpgDxnWEE9X0ljuwAfcDw0O5c72xvdu9MO2b0VamK8HGoBPmnPzDyDk5o8q1HEPbwi1D309G49snsM
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
K0609cpSuvA6vQ7tXftu8ZpLyvXxbuz22Mq09WpEaPlXZorwv9xI9sHWFPS4TMT6YL9q8eqYtPEar6Dx7KPU81IxkvBnEzrzoLD49HhA7PiLfAz76pAM+ozMVPThp+jw5Edm9CHiBvUJK9Lw0uhw9FFgTPqIzijsSKv88USWiPZl+qj21FVw9Gem7Pcp86L2PrGe8Yi8aPlXkID67Jw8+g6FXPbKgJj6ditc7K1SevZdqojtVEvK8dTpMPg9Vbj5UQSs+QLOgPeXdCD7l1om9wLepvbZltjq/hpS7G+aWPl8TST4S2Yo9gV+OPdFmoj0AI5Q9w+qtvG67Vr3w/eu9Sjs0PoqpBT7wHuA9A0WTPawOIj4c+gw72hO7vX1vLz1wmsK9AeFsPoKYJz7YASI+QwerPSmA8j1RbMi9MoP3vfvMrrwTg4e8aO62PscJ8DyWbLs8Se7qPXR02z0H2MQ8FtNQvasehbzPRim+UkryvO9ZHr2HJEQ+HxTyPTdkID5jqxc9sJrM
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
GvMrh+Lukta69WLLEus4Q/Dwqyfw9SYkYvZiPZT2hR8k7JvFTvc8zy7zUynM9UN1xvXdiE7z7I6894pA3vVJLOT0Wr/i8EbkzPO5xz7yKeqE9nDX7vQflv71WNFc9qq/+vBb59r2NTxc+HNkKPd8XpL21viG9J4fevA2vMT06Y9s97QxBvd9MUrwKRYA900n9vJdPXb08Hqc9biV9PYAXWL3ksTA8+A9fvJOHOT3yJim9f8tVPeX5Y73HmhU+wEVIvYDwkrxJ5ZG8DQhVPBpFmb1g5sg9SWGrPe43w722yp+9xZAAO1QikT0kVbQ9pACEPW7AJj3Bl6K8psUyPbi4DL42Zcc9Aam4PVx3oDylksS8liQuuyfLYbxRKJq8NxQmPE+PWz1Nwgk+yl23vei1xL14UvI81RvMvAeTjr2UDyg9DTiTPUdseT0AUJi9y1YCvEONsDx5noc9n77avGTM9LzgToO8h0qJu8nDuzspr5o9Wr9JPbjXvLztYQ29PjpXPIw5Tr2M
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
vvXCkNL12qda7vMmzPSl3IT1GSUw9KHPcvf4vvLy7lgK9iuTvvacg6b0fJPI9P7EhPhoZOr1bOgG+9Y15vswyaz39OOa8wj7qvDN1sb3nT9i8dgiSPWBFBj59kt89yQGjvn2cCT3L+Qa+MoG/vZhOGb54YKK9ZZTZPX/rQD3MkOo9Ohxqvvwncj3d6Ra+PuwSvg6NOb6MGRc9r0vyPRFyFj3YNpe99NtavsEDzD2Djfi94J3dOwjQMr3zQh09HuOmuxibCjvs/7M9b6Z7vuHDEz5vozO+DOV3vfdeQr5Ls7M8Khh6vBWu0jw2cAk+HdtGvtYlHD7pq1a+y8VGvUjXCb4+tPg8KKb7PeXlgL3v/aG8ZegOvrHlob3mo7y8ffHrvLuiJDyDLEK9ky1tvfiYSj7pe0A9k1oRvrLXe71Nw6y9nuIlvRgpcryTwSE8xrJevZjHBj6KPYQ9l6EwvmKKmL3UM7m91AP0vXrBJr0bfWM9XynKPZx6TrxPHTC+eGDBu0sGAj1M
FfEM9EZVJvUHYzTyFgTK8AJ+DPHasRT4Iq0u9NdNVPZ+g3bxoxPi8r+4RvoD3db0gJUm9B/IIPn/JjT3O9DU8J1hRulSFB7w8zoe9wT22vdFgVr2bYug89GZGPvpZdr0Ndg++bzPRPYZaJj4XvES9zWkRvN7fFb3eEdi9RipNPXalj7wTtai99OwZPksbJj7LeeS91cc0vQIDab53GxO+AGYTPshnBb7x/9U8hraNPlz99D3W/Ve+dyaQvc5kcb58uVs94RU7Pt4bZL4eyvC9Z5uuPPuXurxAoNG8HbaBPcvhj71Yjcm94WqxPe54Pr38eA49mjI1PWINXr1kIRO+GIyIPPSAWL50hLi9XsxLPvsaJ756p6c8NK3GPaSGKr0gBQa+13O8vZE4EL5yO8c9Zkk5PsRTQ77G2by9oEkCvsTX4LxBxHW9kqmrPfiNrzzFwAg9wLD+vcu0qbwC4B4+vZjkvfKobT0IztU75qb8Ped717wRjwY+IEeWvryvyzwms1A+n4hM
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
KdPi9yXGQO90uZDwgMrY9edtZvJSELr3StkI9uRqBPNvE5Lx6EaW8IOdTvXebNzoufOG839b/PDVyEb55lps9/+Uvu3NT+zvy6DG8kb8fPemvcrzi8ai9SkmRPcNJWzxXhyK+7mYCPSaDZzvxNZ88Fk8bvEmUZz39tHM9EHPmvGqZtTsoDI+8XucVPU+s2by8FhY9a+7fPDNsBDwLxxW97aOsPGi9R727U5m9U+UePdo/mz3DT6s90+C3PSkNOjoGpCS8GOJYu+QOxT0FtEG9mZZtPVpdGD2mgZE9BI/LPfw5ET7iX1A9vuHEvbq1eD0woyS9OYjTO6iLKT3pVfo9F9YAux+QpD1japo9B7IOPaxfjj0Ci/68K+T2vMROjz0NhNW80DJmPdFxBD3MTdG73gAGPALl/D20HKg9fPaUPMz8OTvWjco9cKfruXAimT2Q9oM8qbEAvWDzAjuwpSK9Pr4WPOLmCL15mp49cEh0vU1FJj2ebqu70O1tPdXWzzzFXEK9VLHM
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
GNBs+Dk2gPExFn73XM4o9gkVDPQ6LgT2J5DI+T84cvUgHtDzb4Qs+nxAdPaZlvz1Cxx0+vjJ2Pkw1MT5j5lk98SyCvp3/Uz765wE+p06sPcYnGj6mfg8+RFZCPlSpiT5Cwns9ZYClvlaQhj7aGDo+RWbuPTn1hz2qKO89bHwRPgfEAT5h6R8+u0ZHvlLJ6D1jYQM+SuYnPbNHRT3oHfO8M9IQPnU6t7y1HpE8fTvevaLYCTxwPXA93pcGPbexkD38t1s8VPXaPUw7pTwweLo9VS98vSCKRr0U9V0+22apPS5gWLxuLI+976/nOhPOT7z0j6I9hmyrPFa1cr0dlYM9XBK8PWFAIL1aVAO9ZzIAPUD/LL0NXu88kHa0PekPp7z66Qi9kTvoPHkA3b2j8DC9UfPDvUZTVzySc8E8CaDBPTNhqr290yk+IKjLvE6kNb7f7c+9qQIAvnt9FD3JmrI9Pd14PoJ17b25BBC7UaOJu74SIr7rG9q8eBuBvUjAhL0U7Yy8Sx8M
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
wHp48K1CWPaBi8ryBYXS945uKvF4Mt7wxjGq9nn92PVMNrL1kASi+FfssPb8D17zLzha9YxZjPSmFiDwbIhE82bRfPJ3Yi72NttE98YwGvB/hnjtyzBm9RclJPApNzDwchl89ev42u5f0Wr2whYm8KeRKPX9vjz3bzxg9is9wPAeDwD1I/zG9HMaevfxbOT7Y3Am+DsTFPcYeXz19Dpc9Uv0oveohAz0cQTO7QInrvcx75T0n0+A89wEFPaGCxDuM4RO9yeBYvUMQXj0WB/E8zf0VvbV3qrycZKO8namNvSyMe71iBJg9sqvkvORNCj3Wdtu8W/ohPdVACz6nNxi+UXkwvUbOyb1QXSI97Amtvf0H27wNufO85zwCPmJ3ubzC5Ji9cUKkvQn9xr3m6rS9SrXPvfNOeTzyigS80/KEPcXgxzzFM3m9lB3JvQR2K74oXYw8HmSyvU4Z0rz2qrW97VKmPReNGz1sAk2+u6f2vVdTcr71FLK7O0aSvYBExr1ECyW9WxFM
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
yuKe93bqBPNFsGD0e2vu9KWDUPV++uzz/erY9GMQTvZtB+DzH0dA9QBEZveEw9Ttpwt483vBwPLyVpL1FPtO89CtWvZZBtDz1slA9F7wsvSO8wTw34QM9Nn4nvZTJGryrl7y9g5mbvC69jz033Bq+yvzVvCX2JrwMXli9Rr8/PcFQFj49eg49tXKuveaDAz7nlsg8kuTEvNiJhjsAbj89wbczPWlbUb3mg8O9gwT7vQ3qFD2sb649iccOPcP8SrtkxIM9GUbVvfxoDT1BZT297EDgvSoncT0unwe+T9MOPXXu3jweXpy9DzjkPVj5nT0HEJM9KEqyvV9IHD58/3Q9jmovvUlUALwAe0E9CEAjvE6aHb11ttm9Z8Pwvd4K/zxvf9w9z08Gvaas4rs+3ow9wg26vT/KTbyxEQi9Npv5vVxEWzyfbyC+s6wyPV9Qtbx3iqU7cTa5PY6gBj5/45U9qEIWvlc/uT0K2lU979ctOwPfNb0zBjw8JfQLPbQEl72v4s27LVqM
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
xe0a93855vQmPhr3uvlK9Bq/OPfu3IL4OraC9CIPyPI6UAjzspgm+y9BGPSnNJbxeCwU9YghTPc1DZb08mpc93Lx+PYLQYzs08f69+hLqO9kii70c+KW8aCCJvCV+0r3YIgI+ONnvPOmJsrv1TWW9u43KvZA9DL2Kf7i84cFHvH8enb0Y0qa9otNEu8w9ej3d2w2+9Zg3vLopLT2K/v09kloNveJbiLzgOUE9mh2/vJIhWz1c0s+8AgF6vbANDb5bdS29nezsuw4Ygb0KX2M9bERSutCchjzdV/K8JPWkvXu3wrwS8ee8pqxuvce5e71E/YG9kFFRvfu4i7wMmGW9JBFXPPWr2j1cclg9rJ+UvXbPxDwMjOY8jocaPd/2Qz3VVQa9UIvxvHYNkL1XO/Q8aEKGvcf+Tr2z/8Y9djjRPES5druF+k88sJMOvg5gkb3Qld69h1fXvDLiOzzYUrO9ncQ6vaEZmLzmM8+9JsT6PNBZFT5LbvU9B+fWvbP2GD7dHjE9wtLM
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
gceo9jnoevnwmKz5USq49/Gc1vcl4wz3hxKw9MuVbPPU5Jb5BM1i9R6+uvRwR/zyoqG+8rvkAvOUHpD1ZpvQ8myfCu42SYT1P14o8ytWXvWOUjTy16+69FU4ROjGW/D0ScUY9E1hfPV+vEz6sUd49te6cvUVTzj1qs4w9okmDveGywz0ypdI8sjIsPU2fwL0fK3i99ZnmvHcfBjzlVuC8K4nzPK52QT0D7pU9th+dvaFNND3Ej5S9TQtXvQH6ST1wORq+Vf0+vWMprz0YPTw9iBOTPQKOCj7tJLg9HCJuvTHh7D0Bm/I8rDZTvUoikD3gUoo8Mn9DPCvP0L3KDJa80QFVPYpvDD1GSNo8syeWu57ikz2Lw7M8fzqJvTmRQ7xSrYK9PwC0vP/4Cb3l5rG928DIPHfBlj14c369xuPXPTxqIz4NbB090KeOvZkOwT1uu5M8nKnyvEvhOj2Ttpc87pOzPL16Xr2Cboq6vsLQvHh+bT1qiZY9b5eFvNS5Qj3cNtu7AB7M
cvJ/Iob2P25C9nmNGuwWlk71n6o+9LF9dPXiohz11PHu9pUWePaK5jzxUeZY9BqcLvfAyqreTj4A92fDGO6brBLzC8KC8DcAaPYwqqL3cSii8AD6vNg/7Q72x5ds9KC+QPCe4qjwtdXG9onQIu7t3Ab1GS3w8LqqtvNjREb6zg5m9QJ2YPXq/yT0qdu+8ZYqPPVt4Pj0pmC49GMgDvOVVrrzs5e49JUQ6PcMKWryaGAG9L1sHvV3Dub3NVf283N4VvXuBo73knAQ+55KEvMZc+jzlK3G92XmoPPGL+Tzimpg8JRNwvZrg+rxdBLK92qlgPNfJnz0Mf8S8w6uLPWOstT0mDXk8i6y9vWxa4bvRO8k9AxSRvNlcZj3hHgk9zsIcugY/H73FyV09VYGKvcsWN71366g9Ex9IPYpcij1069m7slWkPSJejjzAUJ680dBVvZnBjT14fii+3+ZfPS66CT4YJ7W8ZFM5PWZaED0h1P08sJMsvpIs8z3FARU9DLSwPMCeKj2M
mt5C89kTOu4McNr2PoMs8EoXYvSEV2jzZSUo8yI68POosFz5IbR8+fAoAPtEXgz3qtA29K9cYvkJOtD3duQ2+77adPQ2mDT6Ggxc+C8O6PVL3YD1LYxS8+skWvrJZGj7dhxQ7NR+5PEje3j2i5qs965XfPIbZMT3j4JE6qlBQvTXQkLxrjYI9+9QgPb6rfD1jTRI+6rqGPeeqzj0JF568jr/4ve542T2h1Ta+ZIadPT0/Az5XFJw9ITpaPajT9T020Fu8iK9IuxrTAD6g6Pk8ziCWPTyeyj28EkE9TX+3vHaAHz03LSi9MleAvVv20LwX1bU8L/Ugvf9oqD7AVc69cl/avN3Bjb7nLjK9KF8CvnfFC76+TCk9Dqr5Piawtb7hcYe+YRKaviurMb7Wauo+gXq0PhOxZT6E6t++n18hP6jC+T5cSSa+ALcbPtnUp75FxJg+MaqDvbN89j6wx2s8pgODvkZVAD4FoOo+ADdhPtv9Cj/vQg2/8nz+Ph3xZr65NYS944yM
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
Jv/MLz74ursg/", "training_traits": {"structure_gen": "Triangle", "n_layers": 9, "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(M
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.stage=M
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.getTime(M
)+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(t).mM
at[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.verteM
x(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.drawinM
gContext.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),s=rM
andom(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-l<t&&M
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){const nM
=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(57.699,64.199,61.599,90.199,70.199,M
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(370.799,404.5,454.5,407.6,464.4,394.8),eM
.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.fill(drM
(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.bezierVertexM
(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(100.2,106,99.8,103.2,99.4,100M
.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(399.7,105.9,399.5,107.3,399.2M
,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(424.1,426.3,408.9,442.9,386.3,4M
52.5),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.bezierVertex(2M
8.2,247.7,30.4,221.6,49.6,197.3),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),e.bezM
ierVertex(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(456.7,277.5,456.5,279M
.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(55.6,296.599,55.8,296.4,5M
5.9,296.099),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(68.9,284,56.5,270.2,52.M
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(176.299,183.2,176.5,183.2,176.7,18M
3.2),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(183.2,80.699,185.2,M
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),e.bM
ezierVertex(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(210.4,122.399,212.7,125.099,216.4,125.39M
9),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.bezierVeM
rtex(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.bezierVertexM
(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(270.9,147M
.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(307.4,81.M
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.bezierM
Vertex(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(441.4,274,428.3,2M
86.5,408.7,291.3),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(444.2,295.7),e.M
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(112,267.7,117.4,266.7,119.7M
,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.bezierVertM
ex(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(196.5,228.6,186.3,23M
4.3,174.7,236.8),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(130.699,370.2,130.299,370.2,1M
29.799,370.2),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(203.699,291.3,206.299,292,208M
.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(193.399,425.2,190.899,427.5,187.399M
,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(340.2,226.9M
,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.bezierVertex(3M
34.599,241,334.5,241.1,334.4,241.2),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(319.599,436.7,317.299,M
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.bezierVertex(32M
7.099,301.299,343.099,308.7,355.699,322.9),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(369.799,380.199,359.99,383.299,351.8M
99,389.299),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(e){foM
r(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.slice(0M
,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/(1+MM
ath.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"!=typeofM
 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<e.n;+M
+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=this.hM
iddenLayers.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]?t:e)M
)[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.forward(e),M
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){const eM
=[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.getFloat32(0,!M
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=argumM
ents[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.setAttribM
ute("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._setPM
roperty("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).getPropertyValue(e)M
.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.addEventListeneM
r(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)throw i}}M
};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",(function(){M
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.push(M
),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.data=M
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(){addEventLisM
tener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="580";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,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0M
,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$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 En()M
,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","#ffffM
ff","#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","#fdM
5e53","#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=[],ct=M
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(let t=M
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.rect(cM
e*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(),tryButton.M
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+115*le,M
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.reloadM
()):(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=Wt.tM
raining.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,window.M
$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${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?Ae*=0:M
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;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,1/3M
0,1,1,10)*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 $n(eM
,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;tM
<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$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.ceil(M
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++)n+=M
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 t=maM
p(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[e]:(iM
t=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(CENTER)M
,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),Ke.M
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(),imageM
(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)}functioM
n 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.lineM
(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 feeling tM
his 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,height/M
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,50,60,.2M
5,1.3),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 performanM
ce.`: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,height/2+2M
65*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.textWidth(M
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/2),oM
.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(width/2-M
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 Days"M
===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:width/2+2M
85*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*le,heM
ight/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.fill(ct)M
,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(let e=1M
;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.line(eM
,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(0,0,0,75),M
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}functM
ion 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 ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am noM
w a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old PercepM
tron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1=M
=o.length&&(o="0"+o),`${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],["20M
09",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],["CacheM
t",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.training.mM
ax_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/jdE0CyM
peVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b5f4fc0c821a1ed","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script>
((((((((((((((((((((((((((((((((((((((((((((((((((
text/plain;charset=utf-8
6{"p":"brc-20","op":"transfer","tick":"<10K","amt":"1"}h!
((((((((((((((((((((((((((((((((((((((((((((((((((
text/plain;charset=utf-8
L & R forever 10/04/23h!
((((((((((((((((((((((((((((((((((((((((((((((((((
riTXtXML:com.adobe.xmp
' id='W5M0MpCehiHzreSzNTczkc9d'?>
<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:Attrib='http://ns.attribution.com/ads/1.0/'>
    <rdf:li rdf:parseType='Resource'>
     <Attrib:Created>2023-03-16</Attrib:Created>
     <Attrib:ExtId>26d6f217-2b29-406a-943c-4b9d11fM
fa41f</Attrib:ExtId>
     <Attrib:FbId>525265914179580</Attrib:FbId>
     <Attrib:TouchType>2</Attrib:TouchType>
 <rdf:Description rdf:about=''
  xmlns:dc='http://purl.org/dc/elements/1.1/'>
    <rdf:li xml:lang='x-default'>Ordinal BANDp_pinata - 64</rdf:li>
 <rdf:Description rdf:about=''
  xmlns:pdf='http://ns.adobe.com/pdf/1.3/'>
  <pdf:Author>kevin</pdf:Author>
 <rdf:Description rdf:about=''
  xmlns:xmp='http://ns.adobe.com/xap/1.0/'>
  <xmp:CreatorTool>Canva</xmp:CreatorTool>
<?xpacket end='r'?>,,
((((((((((((((((((((((((((((((((((((((((((((((((((
text/plain;charset=utf-8
Nazanin Zaghari-Ratcliffe, 37 at time of arrest
Nazanin Zaghari-Ratcliffe is an Iranian-British citizen who was arrested as a bargaining chip for a several million-pound debt that the UK allegedly owed Iran for a military arms deal. For six years she was held captive and denied medical attention and communication with her family. The Iranian Government has a history of arresting citizens of other countries and using them to bargain military arms deals and financial blackmail from western governments.
itary confinement works in the way they can mess your mind up in a way to break you.
A female guard would stand outside my cell and speak loudly on the phone to her own young child in an apparently deliberate attempt to exacerbate the pain of separation from my daughter.
There was no justification for it. I am cross at them. I am not scared. The amount of scars I got. I have been put through hell.
Iranian Diaspora Collective: This testimonial is part of the
The Iran Prison Project
 that documents the lM
iving testimony of political prisoners. The aim is to bring the horrors of Iranian prisons to the attention of Western leaders and media, so that collective pressure can be placed on the Iranian government to release prisoners and stop executions. We also believe that one day, the Islamic Republic of Iran will be held to account for their crimes against humanity. On that day, these stories and testimonies will be essential.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_70", "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": 19, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 15, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 10, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "JTiBvU8Ifb2OpAa9GFQjvV+mLT2ABgY9nBTOvDVPrrzd3Qc9hcwyPIb1rzzLFw29lKcWPfojAj1aCLM9gW+xvD17AD0F+nQ78FMUvH/ToTzj+j49P4HZPQAkw7zr1Rg9pJYFvuTwlTzMo4m9CSM
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
r7PGY4AT1uWhA+gjg9vJwxBD0nERk8R70EPe6oLr6jT04+faoNPOw+YT33JAq+hly8vTf3Zb3wXQU+rxJjO8R1B76dqus817T4vN/xsz1OGLI94kLvO1tfc73/33U6zcAfveNc3Dw1vxa9K0i2PZ8yCT2/6rw9qX+RvfFegb2xTYQ8alhOO0lCCL3/ldQ8JooiPl6yTL3INoQ9YoVkvuLUAz6Nplq8a96+vQz3nb3fM7A8LeH9vRfNFT5L4gW9Wi2TPXLulD0P19W8frEDvtsYzT1conq7k81nvX1FZT2R4RG8rolFPKb7Tj3PPyM+8+KAvfWryD3RyDw9IFumu/ENC76+URs+/Pwxvfmdgz0BhAS+bLsKvOPNE73ft4g9wRstPdAGH76Rmwy9ATJJvfLVNj0EEdg9y56HPcmEQbxdUaU7mbNQvTFuTrwqgRi9rAWAPbL6ojz2NEA8gR4+vKS+UL3xXMc8o76PPSNE47rDI6E99eHcPabWXL3l9NI9vuZavlIXCTM
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
0YBjS9cUnZPb4cI73TTjW6zx1FOxmY07u6bY88YIISPftcvDwR5ni86YuNPAFpVLyjDIQ9GQo3PbPQx7zYlOg8DQHbva47RL1vVGG9N6TQvfSBkrsGAlM7SLBAvXyW7Dz2kG69LzFFPbk98z0OAvG80AJ/vYdlPryJgJM8JJ6vvJ9aTT01bcc89fHMvF28f70NxJA8rkAovdnbSDwXYt09JBqevIrZAL696eM9pSJEvToM2rywH5m9BwMLOy1QpL2POzS9LS2DvW4hLb4Fnce8Gl97vYA9ITxA2gU97MvwOlGwqr0C0x+7CrNRPWLWZj0sJBi9zBRPPWJChb2Ijyo9SI97vX9Wj7wYNbq9MR+gPCqA/bwckHm8IwdfPXK52L1RaYA9Za4ovs+KjLuuLN298mLIvVOcpb3Hfh09dWzFvf9gojyaKmq9MCy1PSqYaT3vNE69lcmnvd2ROL1+yHG9FPSEvU2QHz1g4BW9Ki4Pvdjii7ummOS80YSQvYtxVj2qoaA84sM
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
0Bvn0G+j0NzzK91jiPPStfNbzv1kE+lOaTvYT5fTwxHIC8NlWdPW+oOb7TbzY+Hef7O30JPryC/0i+o7KYvVcLbb183AA+AGUSvTsu6716qAM7oE/RvYIOnD3xhow9rkwtPZe69rze/KG8uhM1veaNgLuJoFG9pNttPaYiCL3xWsw8CIWMvChO+jvAXlk9YwGcPX6Wsb0c1G499RABPkNF+r10fd899mBkvtYagT2Huvy8uFGwvWaZ9L3F6pk974bBvdCRqD287Ve94VOKPYcj9Ltjdwq8EhHjvZNlpT3mOpW9tI5fvfNFeT3Ta4y9TNgcPYXNf72ysRA+KyySvAO0Pz0Mdf+860/euxrx0b3bmxg+eX+AvdhzET0r+SS+C0LPu/mmqL0oT/U9QowhPcL7KL5MG7467u5YvMWtkT1PNPY7nx/rPJqfbb1OQpg94h+OPKCkYz380ZA7dZwtPXzzXr35hPQ8qQ06vaZqm7wU0mE9N5zJPPRppb1rooA9g/y0PRtHXLM
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
2s9Bi9cv2yO5r4EjwKuS28t+HZOyeYGD42GhO8Bgl8vWwKkTwj3H89gpscOqCVIz0bvQU9gfP8vPs7Bz3Vmts8i95APVyXLz0KJuI8Yqkru3zAzL3I80g9OpxgvbbIEr0a0gK9926vu07UHr06+O28ZK6TvO9StL21IjQ8Z4eCu37SPjxaHzQ8PUiAPdSzITyBzjG9HfbOPHN8br3n5Om8ItuSPEAyE73Skpy8VScoPTBooztuGQi8Ilwrvda0mj1u5Qs+fiTUu41QczyUL8c8t6SfvdmPgDyzzYk9/sVzvbI0M71msBo9YAvrvPZVLz3Yv6W9lGpAPEbilj15Yju8PLXxvOT+6ruHAvw7lLNPPfl5jL25tp491kiiO6UHYD0mwFY9F3OtO8/dLj1MnAG78aC/vN5pyb0Qnbo8wPfiu8MF3zuxRzK9gVjHPNEMfb2OeoC82PByvW7WKL4M41I7tBs2PFBaIbwU4Bm9Zr+LPR/5W7yObK87x3sEPHqZ/zzuIZK91kM
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
1PD8k9MtdMvRWDuDx1UxK+dBCuvd+2Yr0Gd8E8RGwGvDjZp71X3Qu977v2u/ZWED2RjpU8t4QNvDACLz2Skh09XMVIPesoHT2uG4C7aCbBupy+z7v+HPc8ZxEqPW8nIb3DNoK8x9XvvNaQND0Zhmo9AtoQPRAlLr3cW6w9MFEPvkBoDj1bI189xCwMvdybqL3NSxI92ACevQU/kD0LZ8O98K++PJ6Q6j2U3Lg77NnJvO9wOD0kDjg8rxvNvNtmAz3sWoe7IKZ4PAOGNj3kjGU9D0GNPHZ/9j08Ix49gH2EvOf9Fb0lZMI9FFcJvCVuWLtXRdq9ofx+vAMT17m/8je7AcQSPWWOqL1F66O9fXIQvFXyoDzfvSU9o188PKUlqTzvrjs6/cNRPUrlGr0AraW7EeAXPVzyaDwZ1QC9YYgCvWZOB71ca90814eYPPNQhLz22CU+V4FFPYvK57yzgoU9kAYAvsKGUb2r6/08Myh+vUFIEb0/gsU74Uo/PCzIVj2WMaC9hFM
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
0PvfzXS73qBfs8i9VfPPdxaDz7Aha7fLGRPUOFf7xxSpO9FV1yvMIufj2Nzzc9bW3QOxfXz7xjh8E8pK3uPHl4gj0n/tW8w5n0PCnXRbtM8yu9SxO6PMZ4CrwfER+9YWO7PEwVML0TmTG8LBbDPDcpLTzlRR69+f6VPbUk5b3wTIq8lILJvBM6ybtfW6Y9YoqtPWwFarzs/I88fKT7PNiKnb1G36i9H5hkPd4BQTzKifK7fGtvvWqTL7weJSQ9XvxVPUzWUD0Za4M9swp+PfXBBb1cQ6I8b62uvW383rt+ts88eEwXvQFSgL1bEsE8Z7tJvaRQoDx2DX49Ac0ZPMSV5j0YIVu9rt9UvQB7Dz1QupY9tjbBvMK6aL35Hmg93axmvLlIDz2ZTuK7jogpPXUKyj2TAiK94ppvvZkMWb3mTlo98n+vPAi9Wb2HvZ27WMOfPYxmnz00IIy7pF1UPSDTIb3cmp28SkAIvGk0mL3stZI9eCVCPdySOT3ya+m7jHpdPfkUqbM
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
8bPersNz3c0tM9UNWYvfUoAT4ZgEg8lNYRPcU9gr1Sf4k9SQnzvAkflbyq6CO+LZVdvf5T673X/eY8338jO0L9Fr7+am49GLOIvXpvpz3a3XK8RGOfPfPzxb0OGtc8ocRevavR3jvg5Lu7T21HPagFO719qlg9Ha9yvQ1bHTz+LVi97e9LPB9rP711FoE947X8PS/0zL2bJbo9uw1HvktD9jzaCdm9+3sKvb1d672JnrA7ecwzvVZwTT17Kt69dy2gPB5vnDzoBbK8UMzJvaiP9j14IrC97srMvfhzsj2Yf4i9HVs7PKufF70vHZI9riprvQgqjT2Dy/G8IVKxPOUqHL5hH+I9p7shOTb2Mjs2EBO+2P5/vXJWRb3o0a09cyt9vTu7Yr7Lv189IeCMvScAMDzi9309jWDXPEIt+Lz42Cy9XMiNO+AbRbrTVOK8qR2RPd9fiLyUAIg6HR6FvRkq9byfRZC8KP6fPJHFl72CnNo7k5wXPp/df70Mnvo8yM1nvpWsHzM
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
2qvT9GGj12JwS9NaR0vRAMUD1uJCi80X5XveoAFD2R+ZA9kaiyvU691jt+r549EZGNvaAE5L2nmlY8g+5pPVBemL3na+U9HMmVvXUlU70woyE9qE8EvGyOF73bQ6I88ktHvZOGo73/z2q9NxeBPdRegLwMSq49c6iwPc7plL2JnAy9Q/7RPIxjuLxHM5q9QoacPat/kr0JIM+7fVUTvUVTf7wUrd28m/2fvDw8YD1KXY69ZqoCvWSfjD3I75y9Ade7PdPVvDyf7s+9gBv8vHUppbsZlNS7+m4zPccHgD1y8WK9pVSYvS79G731+Ao8Ilnrvab93TzvMBK9+i5avaKTjrz1ABs95pnCvabw9D1EOaY8kuNuvR/DYr2ir2s9yYJLPZHXW708boa8EL+6vIDnB76kzEE9wCQ0vcYAr71Ms1g9SMTDvdwEo7yJBoW9DQm5vETUS71+bbE9UOBqPXCPbb3jkJq9moFmPVnxW7ooUv68yuWUveL+gbt2Ga69E3fKvKflDDM
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
n5vcEDBz7jFoE9Gg4lPa4U+zwAxac8G84zPYvbNLy8+iA9GKJfPayVuz3Y0QG+oyc8vSvT6LyKZJw9OrZnu7yF2T0nxCS98PvxPFqjNb0mSMo8uEmdPYXWOL5Ya4M9I4SLvGjNdrpa4OM84POgPXAhkL2vONW8fn/HPakhtjyEJz29FTnXPQih77xboVU96FqBvedXNbypwrG9coEgPrOUUz0bSBw8mrYFPiAegb3WPb89DgMsvhXt6T20Cqy9e13evTJi47x8y6A8QmoRvtcw8D105s49uYIgPmJOlbxXuW+92sGsvY2AND4Rz609ME21vGUDPT2GlSq8M0ekPVkfqD0kCaM9dwsKvONUIT3FRgk93fbHvE5/E76ST9A9TpKgPXJewzw3HLa9hDRvPb/2ID0mf6k9j01JPGEs1735uiS9L97DPLXPLT0QH8c9UVKBPYTZLT1/equ8MOC8Pd69Zr39f6M6cBvBPKaRvTyhRh67fljxvBZyrDwv3ow9ENqoPM4LtbM
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
OdvQ05jz3MBsY9JUsAvVHPgb3viTe83qa3vF2XFz2PCbG82dJBPTmMZ72tW+k9yw9UPGWIB72v68K8y/cbvZ8/VjzJg1w9fXcUPl0AB74Pfso9b94uvobrKLxANbm9GlLPvITBKL5LurU9Peh/vb/CsTw7T8W9ur3fPYa9rD1rh+W9Nf/9vZdlZj19lTC93q+gvV5mOj0Krjy8c8bEPJ9rhbykWs48AwyJPP4+xT3ssFQ855+1uzW3+r2tSYg92AKFvSs08Dzzvum96mmNveRlT71jjJY6HfyYvFzjC76kfXc9V0+cvRIphT0O30s93dExPQ9Nsr0WUYg8hZ85PAlTzD3FRAG9HoHKPSgowrwVU/w8IAnJvbjj7rx4U3u8gs+KPajrEb2ykZg86o4uPgeDCL6OQeo9m3BgvoeY9j1Drui9Xw2BvTzPkL3aLZA911IRvgvMtT3MdBC+QGbrPUd2j7xQ6A2+pmEmvg1ZKT5K8h299gr0vTbmbz2Djsq890+mPPSGorM
1OSQ4+AvN6vRL+1j3cETc91D5XPdQZvb1u3Oo94FVxvT5UkD0S+RC+wN27vbxrub1J7hA9y1qGvcreGL7sC7c8YSSavd0cfT1QFx87ZSq/PQCx2L3gzzo7q7MLveNcpD2RDRO9O8AHPJf+lb3wyYI8XGipvXFng73CIBE8YaKmPYmF2L3x/6w5AnMhPti7Yb1uOJs9TC2JvkafLz7u1/u9Ywn2vcBE473XDfo9g18FvsmpDD5F61K9OfQCPYiWrTzOZ+W9shgBvpvn3D3szc29M5aWvfGQzD3+64G9ag9nPaN5FjtzoNg9HlZVvb9MdD3glj49JarNPfo2DL6HWkk+k0sXvSJBJT35Nzi+5tW0vdWtuL3zcc09YlX5u0uoRr7mdNw8bf7BveTzBjyaJg49KiQWPVw3y70fnsY8vRPfPJr4Lj3O6XC9ApILPaoybr2vFWc9NAuCvN2HOjxRW3u8Td+bPXGBqr2ih6U81P+kPTILz72Ff+g9bHNXviFgPT2Q0ra9uOM
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
l1Yra9I6fqvZJlGz7yUJ09mnukPcULxT0hxWg9xdMWPHaHFr2E4dk97TdOvRltgz17Cm49Hi2Uvbb2nTxD1Iy7GtMMvSsKRL3/nLU94IGfvYAo9LyO6Bk+YmxCPbw/oz0qSdM770OqPEzNw7xuvVG9b0RjPXMNPb1FdQo+KzqavGzZjrz0N5m9g7MIPlmPd7xnjpw9zCanvFCEvDySZeA9Bpf9vGpEDLzfTwc+1qiKu/S4gj2VPMi92Ro5vXXLaD1xWjY8uwmBvWXATD2SktY9LdbUvZvXlT1p63c9T3EQPR03Ab7LU5E8Cx1HPY2t2b0SY4m9yCSWPabZmbxZa8M9YZBOvXo0AD6Cp4s9WKDWvCjAqLyUos09YA8iPdutnLzvz5Q9ndodPM1ROT3pVak6ycMgPKwfFj7aqiu94Y9fuydymT1SlDQ9lvS4PQkma7x+bs48ZytxPcdmXD3QJhe92ih2PTFEBb1vG3W9jr7uPb8uzrxFdpq8e9gHvZOsUz0UokM9BVM
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
3OZKI9DARfvBPxzD3uAoS9M5+wPRCzjT3/M1A9VTSOPALfuLxkahw91S8tPZfpdr1KDao7naVLPamYcTzKaqa92AjsPSdi/r2Tcks8BDwGvZL5/7rEpag7W7DBPfDz+7zz6w69wwTCPcPRPjzZKrK9+0frPYJJeT3e1rg8vCRpvfIEMbwRXpS9uBIdPfWZwT0cKCw7xp8KPtMVDzuJpNS9Onl4vtY6tj0Pvog9iwgevp8y4z3sMUC9Q60VvmLW+z2mhvU9yK0fvNtJqD3HaDs9O3jlvSrH2D3CfCY94pzavCZ+uDzbJto8tKG8ud5O77w6lfQ9cMTePP1YFr3lvSc+o3+5vKwgq73lOy0+gc4QPl/3eD0++vS9LIUXvdHd+TwycvY7d3ctPZFdzL0PCs080e+IPHK7zbuHa0w9kbmXvNAnOr0FxBA8ftuYPdWL8TxkRjU9R0EKvvoRezxyx0O84sgXPddZTDwzO+s831Y0vKAI4jxfpak9gqS7PbhaJLvh0Me7YtM
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
TKveiq1zzy4Wy9XdLEvSUDAL1S3G69wUZQvS9gCTzJlY49HigXvOPW/7xgQaU9UPE9PThvuL2/r4s9fzyAvD3DMz32Xbu909zNvcSJ7700JAc9GUHEPU2VhT2pRsW9m4yTPckRlr7qY6U9uw68vfj5fD0CkQi+6HOzPX/aoTxM56g9hdgSvJ/oOj3D7uW9wdgdPpN0TjzyNMw8Dp+pve2Z5z0Sb6q8Z8yGvVVwnTxRWHW+SMuGvAT9S72U3fG86fyMvn1zqT79K5O8FlT+vZVIoz1kjq49+hZOvuVp3jw8qWk96jcOvVL1zjyi77I7DwB8vbIvwjs3zdG7BINwvmYjUL0cguY9zTpmPTcCML6KeFw+VjgwvQnkOr4YKbo93QGZPebED75xIt+8q0XBvObZhb1I3dk97sBOPqlmzD3XLWk9/A9QPdtZHD40PaY9oqHJPJ0n2L1k62U9opMcvtlLsTwe/YM9YpGhuTqYND5nB08+x48EPk73Lj7tzrA9Wk26PTZ4mDM
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
E8PsizjL0S3vC9xvsWvh10lz1xEzI+66fMPTZJwTxlTJs+/UxAPp9t971Xmx4+mnXyPfpLUb1rUUO8bXxqPd0gsD34xTA90as7Pp3OBT6Zb1a9EJejvcwMMr4gnMM8X/BMPqotqT2TBTI9PAI/PmHZsz3uRwu7S66jvEZN3Lk/CKm9k1PBO2cFxj31Yas9nLnwvbAfxjyq0y4+zlNWvpxDcb2Ou2k9+qG3vXqY7b3g9CA9ImvyPV3jNL0dx5K95QZHvhSBJjzq0ig9bfrlveGpSr27YQw++g7XPShek71dNII8BkMoPsv9Eb4nEnG9dDc5PF5a371/+4g7IQpXPfx2Cz6mBWE9cMvTPUd6er6RIF49hvL8PYx5GrsgZmu67mwAPq7vET3wggi9/3/zPcbjTj731rS94Za7vdO0Qz2GFeS9iPCFPajBtD3FaKk9tF2SPX0EHz2Wf7u953BwvkpNpL2n5Gq99n41PdUwCL6e9AC+/fMivrHOu7xQuaO9VgJSPaAQsDM
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
j3PYauMj0w4Vc9MuVKPskw3bwa+wK9KNALvk+ICT5ipHW9jRg0vqti4T1Y79w8kT8qvledRj7UDSo+zC7NPZl0s72DIxA9n4AZvsIxXT4GQaI9immMvSWGrz0D9J68EWIrPeK7BzoAQOU9BHcsvaAGazujSuw9X9aPvfBi+73fIfI9gJg/PscY2D25j8+9xtWCPZj8yLy3+6Q9XXjFu/KG8L2Pqt88g9NJu0bXlryi8hu8+wDIvEujCr2oNyC9AQHNPB0IWz2HMzQ9oyg8PUCYp7x0gxk8B8g3vEmXTr0UP009jhLAPAtUTL0LePw9gNhsPSiPEzz1IbW8tMD6vejIlzuqD8Y8iYzUvcdqlzwYPhw8gZ2XvIc7rry921c9GL0mvWTBvD1yPeC8bWneucK0ET2ja4G9pCA5vPiaYb3bGXM9i8tnPIlhVrx/LEY9+tNPPSps3zy56v880sngPIG0B73GwNc8XT4UPY0CSTynr629lnMfvUYfJj1QUS08fGaavDbZDLM
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
s9p589Kkddvd5miT0jM++7BpWMvXPNiT2pKEq8WKuzPZ/JDr5Yf8E9tUanPP7AFLw4FX69aXTdPC+klL0mtWw9L8GkvSlXaz0qRs09mEQVPjm+ub2sLLA9fjvJvHqrGTxRrKQ844OFPQk7oT0qApq9ZQwnPuo6Gz0ukCe9DX8Kvr4iOj2quLm9PcDBPH/X/jwbTAM+weKMPV1hGD54vJq8933DPXLs4j2X16s8YAJvPcvvr71Lo0U8hCp1vQ/v6D2hH369Vm6WPcjVG76gJmK9NKTUPSMx2D3y0GS8PxVfPd0lpT04Uy09mHw/vYwTbT2/LY47byUgO8X4e71ICtm9fCk4PXAHCz1eu/O8osoyvRe6cz2OYz+9JQsuvd5ZqD0n9wO8/QCfvSzLCz0EWnA7V12cu3BnwztERbc8CeLNPBCzCjtc6FO9xqIyPW/THbvQiQk8aZ6fPI0nND0l9La8cBsgvXfVWT3H9j292dYPvXfkEj27sJ49x1nMvRQIhTz+D4w8NzM
brvB5uvL1dIKQ9ZODwvOFBgb42gv+995ZJPd3/270wLj2+j6iYPsdGib2tE8C9M5WiPTAxH7xFP4Q8u2Nau8pE6L0Dzey91feEPfoa17wlzyq++hu4PNF8B767xYG+x3fMvXOmHT4+DkK+Muq3vmuUzj46tjM9l4gTvp9wBz5jKpc9X4g2vl4m5r01ccO9oIkDvhbLIj64Lgm+mOsIvqglgz1mIBC+4cRdvuHG572eXjE+fK/cvcubR76n+Is+tierPPThJr5L35Y9J6LRvCm3pbyjlDq+UVgJvvWhPr4aDS4+leANPvOmlz2CK4y9D6+lPL0zET4REsg9VYtovnhPB76JQSo9+octvl4ZnD0TOwk+t0PevaYATb3a5BY+ZLLAPQUyxz0aeNA8Ds6xvEssgT4nmhw+X/mEve6oVrsMKy8+wwr6PZEGrr253kK8igUaPclzCr6zB3y8m+8CPYOZMb2Ip+A9QVENPfkQnT3Lqww+DFsdPhJx/rwslvM9atevPaf57bM
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
mVvVGkCT0tRpG8neh+PcacVL2ArLM9SVI+vWlAC75p+9y9HbBxPduRlb2CMJk97fmlPFlaCr6PHl89gFaRPSiPCjyX7l29OyT7vRF/9DwfOB29gpLVvZGufD2/Jja+MXw1PXygD7yrpnq9iWWJvWHl8rzDFT69kcR6PRU0Jb3FFDm9uSEEPrmbCj4EXTO9XwXovZX1j70Jpn49pX5XPZ92ZjvobCg+zYkOPguXyb2h/BW+Q9bLPNCj6LtFa4O9/W/dPQ2+/D0YZum9960WPjV7Fj65hqK9sUhxvTcCaLsXsVy+67+cPAJIyz2VlYC97vyuPV0BmD1aP0q93D2Nvbw/tD0/fgO+NSyhvYcC3z0jmpQ8epgpvgxx/z22+xo+8DP4vUkJir2x/F494DkEviUD2j2boDo+n5JFvaQqr7un9CI9SjcDvj2Gmzvsnis9sF4wPT++Y70B06A9i0+TvfXMlr39aMQ9/q1SPhFOwbzHxJ684FoYPZjUh70opac9jvYhvpo1m7M
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
7TVVY9bhoNPuDYDj4fFnQ+t3MUvsiGPL2gSHk+pLdAvtO9RL0DqK8+2O43PvetrL2ohxY9OPWgPjMd0r4FDtW9CTUtPrMbPr5oDzK8MwIFPdh6KD7WEg8+EerAPr69xL3R/VS9UHJ6PooII74tQxS+VH9/PrI+zD0YYce91dGrvC5xXj5hToC+R6nUvaz8DT2BCvK9HXaZvPKWLz75KwM+tq6sPWa4Ij6IZQm+zji4PZC/8z1de4M9gOESPn4CST24Qws+/4fXPZlipz1Kdg8+4o+CvXO3HL7dFPW9GXA0PR8PHj5RlIC9SP85vJ/IGj5DOjU+I3YdPYq2ST0okhA+raNwPD0JGb3bnZE+ioAsPgWrnz2j/xE+MilGPgs+j77Qt0W+ewLDvEXvS7yHY7k9un77vIeKWbuMMUU9oNCfPs68HrxgPSE9I7o8Psl8T7yrfSy+pk5qPiqd1j3+hRU9/d8dPafcrz5Qn5e+yN8Tvt5ty72A7AS8ICPfPLaIaD51xyk9PEM
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
vWlEq85zcvOsRpAD0vlwo9rGNEPb6MADvo+YK89KK8PZ4O3z055hC7VKs8vUgkDD1Fyus8NcDXPYXAxr0vzGE+6YaAPRxh8rzwsDS8t1haPWmATr5b0eE7NfICPdg8GT5uIqS9hdmhPfKi/z2HVYk9cj0Ivi65AD1RXm++WLagPedIJ7wZbiC++/9GPmatir0ZmyY+lTCJvYiTGT5M1JW+OB2zvHzP2Lx8wuw94HetvXH28j0P4ZY9FuYCPlT86L0Qn7m9FEZXvp1dVj67xVs914aruk3+TL3HEUy90KMkPZxjAbt2eo09CL1DPLTu9rkFUyW96IoYvc2U7Lw5UVI94mdKPneE5T1twJ29fwAmPX8Wyb01vtM9YOv0vKY+qLyCXCA9D+krPiZgq72JyHq99WYavrIUWb5/wew8Q8OPvf1wsDxAuWk+syZZvqnHs71UxgW+s6hPPRmv/7vKqB2+djYJviPuAj2+JTa9KTymvbbriT1c65O9vldAPGOox70LkxO+BhM
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
1Ial27AuA4vCWflT3psOS9QPOGvAzjbz3DF+u8/FvLPQrCiT2h+E2+ys44vjrzMzwLvbu8cNERO/SWU71Msum9bgE4vXUNG7yF9hm9p6smu8/i0jvmaEQ9KnFwPSzKbb2lYSa9O96PvJJ68TwfOFm9APBtvYlCHTxlMuM831KWPKH2Eb0qavE8PXsoPUTkab2T4cs8dbKuOxnIWDxq1dE7AXZzPIaA1LwqHDw6OJ6ivWgUljzBUzk9wvgGvPj1/708dBK+rw6OvNW2ZD3pTxS97XEGvViPoL1W+o29zTUOvWI9x71SFiC9ai94PMD+0T1ltBK+ygyDvDKpBj0eJdi8oALwPXJhgj1XGFG+TbnMvei6dT2b/hi8FNDNvY2LFT3Hc2S9h9HevaOA772geJG7+5KEvLSrtT0M9Ge9dQePPELTJr1FjqO9RZz9PImCsz10/HW9rm50vROodr09ivE9sahivCc1lL3/MFi9290yPBd+vrw8L8S84oCkPTjBJ722Zzo9L3M
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
zcudI8LWyjuyqxsL0LvDg9MSV6O5WSYD1kJNK8tVV7PZJgNj2ZtdE9JuspvPekAD0jDkU7A3MyvRidpL19vfw8j1xqO7iIkL27ZgG969VUvVwMDTz0jc48OyAxPaoqiL3GlW+9TnOnOzZLLz0kAE69jsKkPYlLgLtqZmC5yQ4SPVevO72ZKRK+pdsRPcdEUT3uqIS8Ck2hPUstnjz3pU09AO8bPHXfGj04LFw81W4RPmcAOD35lOE8n82hvfzPwz1gYaC8CucBPgd9+b256Q4+Fs18PWQojT17oua8Z4n3Pa/hF763yFQ9ddsCvdi2mT0Qmya7owkQPtGX9j0dHyw9xrOivWs2pz2jJwO+azE0PismNr13GAa+Z6rkPQfVL77Przs+k1RoO7+dMj6x61K+v1HGvMCBzL1ot8c9WwaqvT1WBT6+4XE9ZnkFPhGtJL75pCq9tDbxvY04Jj7Xt/46zUzYvH/hlLwT9li+88pxPSj5ir1kqkI+v6yEu8m5zTxhuE29tPM
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
tePrQBDD7JDBY9T+NSPOBKGz03VAW9Y5efPcHNnj2VuAG9wlQJPjwrj72Hza894B+ovP/OBT66lKO9kesQPNioh7yQsgW88cuFvdSLET5qDbw9i46IPbpkgjo88V69qOz9vJ2PQz6x71I8PZX6vAYF2ToFlpK+s9/TPY2+STzzrSY+4boWvMB8aL2CSeG9zX1xO/emnL2AvxU+JWT+Pf0/ND7xlT08Ic5Avl9Qcr1ESQU+ipwJPZ0esb3ug4M+zmnOPfcAvbtelwy+6x+oPWYMyb62ScO8aom1vXmQQz7rnX495Ft+PbQ4lz1n9L89s4TJvKriVToJB26+lnTtPF8WwL2cbh2++PP+PesvOb4gZls+lvzCvbD5Yj0KXbm+YJXNvBfMGb7XRYg+FsKWPddxjrsXSCS9VhHAPQ1M8L3zkTy+jAAsvsXdID5G1pA8juYLvXTRyzuHok++QfaIPX7cfL2WHpk9BtbHvXqbvDww4wu9KqXpvTkM/jyRQ/I9v4wqPpGf+TM
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
J9PdukJL06b1G9qZZuvXkjvbw8Quw7rWiOPS6o27vB6wU9VmEOvgC8DbzNKQi91br2PV7L5ry08dM8T72ePb9U7jsSNWe9gBwNvtlytb1RVOs9plGyvbfEmj05Tfq84jmyvXWhxr0ISMy77kuOPKonMz1WKRE+9d2MvYiWCr4aShc+N7YDPDESEL6OFRu9CUtPPKOAyL1WYgm+2J/DPVE8or2+JjM9gd3rvSNoSj0LyJW92lwDvtV1DT3ZIOY93FoePYmJZDue1DO9d4mRPSJA872pNcW9ISrjvVarAz33jBO8g+csvdyEHT2YCEu8n0ciPShQxby8uX497kr8uq6Ijr0HACU93wMJvb5GeT1MShs8UzTxPRhDhj1N4NC9PsBbvcR4Nb1JtZM9W25SvurM8DwbuYO7GAsmvrb6RD4ZhCE9RgEWvWMkFrz9W/o9GhcSvg0IhT0d+uA9Pu8JvprdLr4/KWE+v2EivNC1Cr4Dp6U71XKKvfrj0r2SxNs8vZuAumoPc7M
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
w9/TU9ZZCCPVVhML4pdeE8LLOmvbOe4T1kWDK9av/OPZfErr3yoz4+deWdOwI8fz0AkVO9LF3puxXACr32ExM9Mr4Eu73TEz68niy9RbC2PVZ5CL2RryI+P163PVn697zi7F09fPMOPioXhL3g/wk99M1yPa7g37sTPOK9UeIXPiOvND5uvyI9XCTkvAtUEz7H26M9QjQePjQV2z2NA7k7XywCPUbpDb3QKxg962vDPVC0gz5fLCC+/H5KvSgtnj1TQT098phVvgVSID7LxRA+hAOHPWj5pb25Ha49j2gpPRiwSD6v74M9Kbg5vTf9zjwNR9u9+/5hPfwnozytE0c+OVSTvSl1n70zVSU9ksJgvAA5+b28Dfo9H70TPRZlBD6PoZq9/S2WvWYnjzyPMc09OE+APmtuZDxPMiM+tRvXPRA+Wr2QWw89J40IPhx3Wb57+zo+HMUavgdlFL0L1+W9YZojPglCQz6Poyc9EK06vco3eD4Sxx28oYHjPcyBSD6bSWS8wTM
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
r91hI8UTzPPKOOqDyBzXS8kbOHvK1vIj3anr49TaKyPKgO0DxHawM+VdIevUElaz2NbNK90SCcvLhoM7zFhcs86MQvvH55HL19Ta+8B9ZEPSp7CzxfAKM9b6fqvb6HcD0J9P27U4c2O4ao3Dy5KQ487UDRPGHIHjxjA9s82FEMvfnVxDw6jEE9yfVoPDK+nbuwzOU8dcH5PEv7yDyyUvm8R4YqvCVOWb36I5e9raCMPWuGkj1ZxP+7m88+O+FXErysqKC9kwSiPawj77yzlLY9JEBru5W+1DzlyVA9cft8vZdZhrzq4tW80la5vaE1pDzya5s88bAhuaJlij0qpPY9wp4VvcNHDD0XKwU+Es2hvHf9Gj2o5bO8oO2FvcyGIb1IVJM9HC4/vRXzar3ica06yjkcvYvMuL2Yst28FlMUvKdsnj3pB6o8jjezPG6zcr0Gu667v4n6vPR5Bz0QwgQ9iGyLvRQaLD265dI81BKFPVEL/TuRpYG9TDOQPL6kGLyiIhC9aZM
/LvM7g071U85a8K8eePUZjFj3j+5W8WuQLvWt6Pjzg8uS8Z4irPROwK73bYaQ8L4uFPdb4DD2wZ1U87sm7PNWA+7yzMIe89Sm+vZIv0D0FTEa9pQOQPQmGaz3eC+I9GfiOvQ0Jxz1x7Ag+4NtdvYSYBD69a4a95PlTvKRURDr4xIE9ZDIAPZKAjr3daVu9pNdSvVup0bxlWNI82orbvA36BD7tAaE93tHUPDrTpDyoaMI9jBdlPeiQkL1s5jA9bgkFvYiARD0EA8A83wW8PL6z3TxV+tk82My5PFLsTL31OLy9PiaqPdKJP72Zckg8u9POPSZVaD35y569dngwPKhoLrzzunm9uyfnPGTI071BGaw9SWytPWVDtDzzJ3A8WmSXPV6eH7ykC+W8zZBjvfjJAj4kCwO9sf/Qu7bSiz0xeck9TWOAvcCItT1Vg+c9o527O2KIgT3zbLK9OHDJvPIYPDo1+uc9FurkPDQ6N71p2tC9tP1ovTBXyr3O9Ik9OWuSvSlzBjM
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
idO2Ho2rxTfJY9wzg7vXmh1j30MSs8fwiRPehvij24JoK8YiFGvGPSebuB6X69tj2KvJxuI71kmty8aqHYPA/LIj3j1JG9eZMVvAmsPjvxIoG8/0bhPDln372bgDk9HVGzu6aNPz07Qck9UXKevVj/nb07+AK+0RjOPN6/Fj6qLBi9WuKZPdJm7rsaI989wZaQPD8rHj4ZZ4894WAgPLiW0j1P8aO97JhOPaeBMbwOZEs9n830PAYkuL1St7u9HDpkveoXj71zI7I9f6ZfvW+04z13xKc9boBsPdE6GL3iy967P3T2PNEvwjzBC2c9sI97veebH7ua8kY7VSTwvLzz2D28c0y9H5cjPWdWk7zSNrC9ppGPveDztTxope6829PkPIi8gz3iaPi7cTORvcnrZ71wh1o8Rp5wvRFNzjylMiy9KtjoPIy4yb3legw87CYPvr7tBTwAgSi9ctEPvfvFW70FNw49wkI3vbk5fL3+8Sk5hJUdPZJtyjza1xA9Qcf/vCaWkLM
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
+gvBYygjxKoF89kZAkPmEBsz0gCtY96RpvPY4TIT5Qwm89Rm+bPY3hUrtFuDs9zqS3vTp2N7y/mxe+tmuLPaQKkT3dCXi8QnQwueBbST5r7hc9LW4FPmip0T0yhpk9UO1BPTlJNb2Ke0g+nkTlPe67Bz62Fdi8DVoBPk/Csr2Kaiy9u0VDvs3LOT4DPYQ9hoHVPBIXuj0ZISo+6fp6PAd17D3XDfe8iKe3PJz7nD1LLO29ORUCPgSn6Lz+DhY+MgEVPWgTJTgM93Y98u4WvrqmPr4+2s09Xc4GPt3BFD4ZZz+9eNO8vZBNoj3+m6s9ujvqPYM+BD7iOek95bitPVvTPj7FZag9vDV3PYK6crywngs+Zx6FvW/3AD1XC1S9OtGFPVXNhT2yfD+9EHYNPZQJDz6nYDA91cADPtYPfT3z0V499Q6sPdP1fT16n0M+YBHNPXBU1j2ESCk9SleYPdwFCb7Fcg29cZ7gvUk+1D1wSec9xcdPuyVteLwWYzc+or3MPT7uDTM
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
0EpSC9hAuwPZ5Uzj1q9Rq8+KHLPJDn+rzcwhy9q3LtuiAbDb0hCCA9JS44Pvj5yjppQtC8M2hiPVnNer2TO7O9ZMy5PadZqz2HhlK9ua7pPOGMTD1MTNE93In9PV4YtTwvJpc9hDwjPTnyRDzy42K9RAC9vPROWz0Qnjs9u7fcPCQLF72SNAU9OiiGPaEBFL2oDvU9JfDivVu9vj0iON89lQxRu8lutLsAvx69QolBO3JHdLui5QO9ADwJPNj4YLyz8F46vKEXu78mOrxAmhY9O5C/PfGhEj1QxS69AG2PPbRjybvhp5O9WI9xPeyD47sNQBU8FvdgvBjGL73aQ8A88wMKvMDPrLux1Ta8KPmtPXYYgzxos1y9/iSIvBqBgT0LEQM9duUXPDEbMr2WbKI8cXh9PEj9mbzSZYM7XCKnPStlML1jw5o8wEePPSWINbzfrMi8yCd3O6t8XDvu5Fi9yyaTvfOdpzxGSCQ8Y5MQPil1pL007qe9LTyxvdIhqj02Hx0971M
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
zV/9o8/nd5PUbc0j2GXeO9IfkqPajXNrziAd+9cxuXPNZMAb3EG1I9bguAPaOPpD1whuQ8JyoFPT2yET3vHm29Ym0iPTg60r3/9oM7+gbhvM1+97wiapI9b1SOverPBL2MSnq9VaGduoPdCD7BF8E8avaYPbsGgj2vr6Q9vluuvBPLtD0vE9o9BfepPDsWsDxaR5i8x/4IPeKuHr16aLO806ziO491Bb6WkIc7cR+DvX+qob2w/iA94lbBu7sgvT33Fbc9bCJ9ObdEIL3seya9p3jbPL3M/Ts53Zq83ncbvalYND2qr0G9MPuEvSFI8D0gGxO+6h+cPG2qUbuKn9e9W2cgPeFAtDw1AaM8R3kqPfeIgD2UxkK9gM8Avnku9btcUDo7SckgvcfEKzxXXxS8haJWvDbW4L0tVu+8mMSwvarrYLtOgNS7GuiMvRK80Dvhn9I9lrsXPCZu971zAbW9a90hvV38WL3JCzM9xSFjPZ7OuL2SiVo9Ud4dvX6Umrx0D2C9x4M
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
0dopU9xXiYOqH30b18foA5wmnzut7+wb2/7zO85PNlPUonp71mj8i9ZYSNvF23qrwJgQW+aPtCvkNqRz2w8p69AqvZvVSQYz55kos9RZSZvXxCkj0WzTU8ydSvvbEnG77dUbm9gLHrvQKEEj5HN4+8wcXFvVjpA71uBPy8tpuPvVIGajzS5Rw9wXTHu30xjb1r8AY+VIzwPLtBpz0fbhI8/wgvvb2BJbw6LK28ieHovLPTBD3ddm09MAM3vUvczLwFEeO96m4QPaFqxr1dINE85m4JvkxZxLvwj9W8jfaxPRpOLj0FfAo+yXUDvihYA76ueuK952eyOnQawTxYYRA9945YvbwjVz17ksO9LuDAvMaNOz3idVu+iQIqvrSNQ7wR7ke9y0NSvpNmgT7EWE49UnMMPZ6ptbwBNoc7eB04vsmY87yNzkY9SU3RvR5/QD2Mirg8j8+BPM+Aur2/Y8Q9bMMPvqm4pTyU8pg8OeQ1PbIWa73fnIg+quR6vejE2Tz+h9299WM
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
CHvVuJOj0GY8I9Jw/ePXBy+73yBsS99h8aPUAOzrxX+w6+lBj5ve27cL01GN29U2uDvVz+Wr0ZVtc8o2MEPfsrDzxT2rq9HzzcvVjKET6cQYm9D38YPotgKD5jzUO+/IApvprMIrxtjnG9iCfHvVO3z7xrjtO9JKtyvhgmP70xvTk9gD0Avoxr6j2BzIC9dDGsO8hbRL0FfQM8J12ivL+bzD1IQL09Wr1AvQz12b02M+E9izeZvcfoXr7eqPq8v0S7vKtf67wi5G296y05vWlKNr1a4089Z+3mvTbuhr0Mew+9qMt9vRPJnrztf9Q9R2QTPtx7870TnBK+EpNFPXsTKb1zuOC9+fWnvZvyQr32Xae8/1hYveL8fL2/m2E7M+cHPncX1Dzn0wC+MeHaveIh6j2CBku9yNhwPexEUD5pkYq+XrNSvtoUdz2FrHC9H7WCvUL/tbyci+q9HL8Kvs2qnb3o1es8MNudvapdpj2btxM9xIYUvQjoojwDYoA967GLvdqz3zM
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
Qwvt7J9D0bPpu7zRIKvjQfAj44MOo9jn0cvXD4JD1PNy69vYOtO+iBub1ds4097J5ivnsoEz0Ptfw8NLWsPKOCm702dx0+ScXEvWZIy70/dNw98Nysu4swML7xcNG8hkfruzYApTy57ku9u+/lPN2b4j3Fvtu9WDD2PfAgX74MXzo+GOXavHmiNz7KNiy80LscPvnpU76+TOa9ibAmPNHLJj6Gsma+X3PwPY5gNj4tsxE+lsi6vX4yxDyk2kI+TocGvpw53T1j9y2+pLTUu0t47r37Vu89fH2gvMnaNT1G5Uq+iBi9vY00Xb0y1Ee6+/1TvonLBj7ZQfk9alPSPV5cm72qPZw7xnYdPgD6uL3ObBo+v1IOvl8mCT7OARu+Ko7OPUqDwLy6mWY9j0srvb/fCD0B5mW9uhCBveRNUL5ZjLo9usX6PeCPsz18RjO+f3DqvbMp5zuiUdW9SteCPcyGD75bBys9TaUtvdw4MT26gx29M5SdPViM9b3QDCS9tfrjPEbqMjM
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
WNvTF9M73pjqa9vemHvsaaFL3eZZq8J0MVvnO9nTwCZ4y9ujFTvZcSEb7vh269Q3pdvWhK/TyAvKU9k4P/vSY1Ar5BkeY9/Z3uPBrhK75Q2aC8ZpIkvff9QL7wEX89XMAQPU8sm71LfBM93kPdvd2oEb5S41G9+9Olvf5sAr635FE9hMbiPQ1zL76gfju+omUrPf6tgT1hgV+9U9qVvQ5m3rz3wwS+bV9BPWwsir1QxKk867HiPLKWujxTMcS9L4CVvftsFj0kL6u9w/u7Pem/Vj1duma+5jMWvj7OLD1s79c8CsXlvOZKob2iBoW9bBT5vaLHD7t+PZi9ibxqvdzVKT0ELZq8qEeBvTy/Mr2gbii9v88mvTioAj1CCd+89ix8vZNjCb0znY89tifbvNGUx737f7g8dc8nvSmq1L2Pyqk9a3QuvAiHEr2o15M81L7BvSclnr0uHIe8CDNhva+MwL13wuY8WGKhvO/DP76CGhC9zc2gvFMnfj0m/O68vHvwvF5RdLM
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
04PNI9moU2vXw3VD0suay9SKABvR3JJ71y3MQ9eZLKvFCXXLxr1wS+nwjFPX0Zyr3AxLU9s7ydvRltVz1AA8o9T23NPc3A0b3DO1g9arg7vGQ167w65js9o+lkvH51pz3kNkw8fkmaPaQHLjwQEC89snk0vQTwLD3eSiy9ZAFcvJOpyb21ixc9WIiYPTtuNz0p0aK9xoydPY+SAb3Leaa8afSXPBwswr2qTwg9wD5Ku80aJD5eV1291WKuPTmsnb31pnU8yT51vU+T0T3uYZ+9g9uHPch6Gj1reQ8+fBoZvayf9j1NP6g9AlIcPDoFH7xB86+94T2KvRLuPb25YM89etjqvXP+br3cz9a9yhrGPZnTt73FyTy8zJrwvZPhGT4ZRcc8UTrrPZArxbwwB3o9PFVPPBktCz3LQbe8zPwTPN2QHjvOZzm9vrMpPNcOlj3twgU9zoBAPWNxzz1xx2W9ky9ovT+nqTy1JAK90wA9PLPK4TwYYH+8+pzhPKrUiLrXvmq9aaM
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
IVP7L3FT7dfUo9FkpuvyaRoz/MoNC/o6yXv/azqD1/65A9m4qMP7pvGz4m2ce+Glbjvq4bnz/u+r++qucdvszMND8wv7A/7yfav7gh9jzG6fI/wisivyBzAcD+m+w/QeOkPg7oJz8R+jM/eIpovqrxrz4bFIy/uYGtvk4+RD94PoM/JvDQvxE8FT8t6R8/UAXUvlhKtj/ReSm/8x0vP4UL1D5YBpC/kDyrvAIZBr8NQs2+GQGFP5BwyD6+QQBANGeZv1d7dj/q87E+0MSnv8pcZr832DS/EVFCv028zL/F8PW+edtYv0vx0T+HFa+96R25vyzXYz9ZX/M/ryFTv2exCb/xb5s+lxE4v5IEnj9yMUy+1OlyP8KUCz+iwWO/8ZMPv6Q6wj7aDIu/1YV8P+XEnD/PuDO/m5lvvnjnJb+A8J2+rVN6P53euD29RJe/FaacP9Kq7r2dEjo+P2cUPmC2ur7rUb6+5MwfPtavHT0WyJW+N2YvPiIEFz+EDWq/jdwqv+w05TM
/8ND2/tXqVv2D/wb+GKls/1htEPnmnZj/O548/lugsP7vtEcCNSd6+UpbTP6H4jL+BFLU/ojSFP3gKfz/Lf2+/ZGPHv783xD/4bre/xySSPz7OSL/xHdC/osRVvygUvr0p4Mw/aC7nv7F7ej+QWoi/EnVIP5iVEkB8flO/5iCUv+l7Wb3/36y/dMn9v7bRgz8r0KQ/OKEdvjfwpj6s7Mm+5GFdPg==", "training_traits": {"structure_gen": "Triangle", "n_layers": 3, "max_nodes": 19, "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 eM
=>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())/31536e6*this.growSpeed;this.iteration=Math.fM
loor(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,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800M
/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,growth:this.growth,nextStateTimestamp:thisM
.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.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=M
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.angle),this.len/2*sin(this.angle));return[VeM
ctor.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(n),r*sin(n))}class R{constructor(e,t,n,r,iM
){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),random(n.yTop,n.yBottom)),o=random(5*i,10*i)M
,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,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(cM
onst 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.scale(t),e.translate(-250,-250),e.beginShM
ape(),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.bezierVertex(90,432.4,73.7,488.2,91.9,496.7M
),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.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.M
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.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezieM
rVertex(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(51.7,194.6,51M
.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.bezierVertex(26M
3.8,9.9,277.5,6.8,292.6,9),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(475.1,314.2,466.5,351.1,437,372.M
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.bezierVertex(119.3,455.8,117,453.9,114.7,452.M
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(96.6,79.7,107.M
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.bezierVertex(402.7,110.M
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(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1M
,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),e.bezierVertex(106.6,305.9,108.9,302.799M
,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(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.M
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(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertM
ex(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.vertex(163,45.899),e.vertex(170.5,41.599),e.bezM
ierVertex(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),e.bezierVertex(230.6,114.899,229.2,114.5M
99,227.8,114.299),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(243.3,411.099,243.3,417.599,242.3,423.9),eM
.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(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,M
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(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.M
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.bezierVertex(285.3,27.3,285.9,27.3,286.6,M
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.bezierVertex(377.6,69.3,386,86.7,381.7,103.2)M
,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(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(M
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(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.M
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.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bM
ezierVertex(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.vertex(141.1,235.99),e.bezierVertex(114.6,227M
.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(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.M
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(180.6,420.8,180.499,419.5,180.399,418.1),M
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(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(13M
9.5,350.7,139.799,348.9,140.2,347),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(165.499,316.799,155.199,331.299,152.99,352),e.bezieM
rVertex(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(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.M
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.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezieM
rVertex(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(369.099,268.6,371.799,271.4,371.499,275),M
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(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314M
.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(377.899,366.199),e.bezierVertex(378.799,366.29M
9,379.699,366.299,380.599,366.399),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.map((e=>e[n]))))}function A(e){return e.maM
p((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)<abs(r-n)&&(r=e)}return r}function N(){letM
 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([]);for(let n=0;n<this.m;++n)this.mat[t].M
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);static leaky_relu=e=>H.__apply_unary_op(e,M
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){const n=new G([],e.n,t.m);for(let r=0;r<n.n;+M
+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=e,this.activation=t,this.w=n,this.b=r}forwM
ard(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];++t)n.push(t);L(n),this.currentOrders.pushM
(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)}getNeuronsLife(){return A(this.neuronsLife)}foM
rward(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.layers)if("InputLayer"==t.class_name)o=t.coM
nfig.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){const t=window.atob(e),n=t.length/Float32ArrayM
.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]&&"fixed"!==arguments[2]&&"relative"!==argumentM
s[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===te?n=t*this.width/this.height:r===te&&(M
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+"px",this.elt.width=n,this.elt.height=r;thisM
.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);for(var n=e.split(";"),r=0;r<n.length;r++){vM
ar 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),this}isFocused(){return document.activeEM
lement===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!==arguments[1]&&arguments[1],n=function(t){vaM
r 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),new K(e)}createImg=function(){var e,t=doM
cument.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]:"text",n=document.createElement("input");retuM
rn 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=function(e,t){var n=new FileReader;return n.onM
load=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.createObjectURL(e),t(n)}else File._createLoader(e,t).reM
adAsDataURL(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="71";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,btM
,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=createGraphics(e,t),qe=createGraphics(e,t),Qe=createM
Graphics(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(new Date),_n(),Wt.training=e.training_traitsM
,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","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eaM
e4cb","#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","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#M
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}})),pn.addEventListener("click",(()=>{pn.vM
alue=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.loadPixels();const o=i.pixels.filter(((e,t)=>tM
%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=br("Try Again",width/2-225*le,height/2+26M
5*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||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==keyM
||!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.value(Qt||"")}function Fn(){Vt=vt.value(),_t=M
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)}function Yn(){wn=null,vn=null,Lt=!1,submitM
Button.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.nextStableTimestamp,Mt=e.age,window.$stateM
=Pe,window.$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=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],HeM
=[],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.unshiM
ft(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*ge)),xeM
=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.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;cM
onst 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 $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;eM
<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(MM
t),window.$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:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)SeM
.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),Ve=CM
e.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}function Wn(){jt.update();conM
st 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,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.M
strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$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.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTEM
R),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.image(Xe,0,0),et.image($e,0,0),At&&(tr(),M
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].length;for(let s=0;s<l;s++){const[l,h]=Hn(M
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*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSM
E))}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,0,0),Ue.fill(st),Ue.rect(width/2-250*le,heM
ight/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 certain this image belongs to",width/2-100*le,hM
eight/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.textSize(e*le),Ue.text('"'+n+'"',width/2-100*M
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.circle(width/2-360*le,height/2+180*le,7.5M
*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 reach its peak performance.`,Ue.text(r,widM
th/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.text('"'+i+'"',e,t);else if(l<50){if(l=50M
*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<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.lengthM
-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]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+"M
 ";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:",width/2+10*le,e+height-165*le),qe.textAliM
gn(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:",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NM
EURONS:",`${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*le,200*le),gr(Ke,width/2-155*le,width/2-5*lM
e,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/2+23*le)}function ar(){je.textFont("TrebuM
chet 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/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3M
==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("#","");var t=parseInt(e,16);return color(t>>16&M
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){e.strokeWeight(1*le),e.stroke(st);const[M
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.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.reM
sizeCanvas(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 ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.lenM
gth-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and M
intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start aM
 new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${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,$n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,3M
65],["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=[["Whitepaper",2],["Blackboard",2],["BluepriM
nt",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:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lM
ifeCycle: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":e.visual.lifeCycle,"Birth Year":e.visualM
.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":"7b5f4faf3e5fa1ea","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script>
text/plain;charset=utf-8
{"name":"HashKey Digital Asset Group Limited","symbol":"HKW3F2023","uri":"https://bafybeif2epokirn66a5gjvyrbxhsnwqksvd4vrj4rdnq5blzgoxb7gzv7q.ipfs.dweb.link","hashrate":{"hw":"ASIC-Canaan AvalonMiner Batch1","date":"2013-Jan-1","efficiency":"9351 j/Th"}}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_484", "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": "tanh"}}, {"class_name": "Dense", "config": {"units": 3, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "2qmYupVdcb1VIma7sJIsPaayzDwQzDW9oxbWu/oEL7xap6Y9Fnq4PBUDvDyV/KW6VVMevLybbb2O+u+7KmPGunMLCD1hKTi9T+1tPZtmsLyvHUs93V7oPPwh+TtdpXs9TA0RPBD2xDwbWiY9813YvGp35jyyVwW9EyQ8PABzQz1QiW09srgCvR84DD0rm3e8k+pTPObV7rws/Fg8dXeePQyQUD1su7Q8j+IaM
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
vZpDpjwY5fK6oeKfvI7eY7vsL/C8jSHcPMLhVrxDO408lChZPX+W2rzZxi896nowPYozoDyOUFw9XXEAPcZpYzy6eAw9ZgyIvEUCoTzCAqm8VDZEPPvBOj3cmZg71WeXvCGsVzxhyPu8syNLvaGMijytAh48GCAPPVaY3zouMNW6p104PWHlfr2YKIA9llmBPYEffj2chOI8KdRBu6UG1DyXd3w8r0Wlu71duTyFLBM9xlUovQA4Jr2gdyi9dVj9PIvPFD2swiA9yAj2O4CCSzzt/g09q+ZiPPi5I73t1N48Q+qcPcKbAb2rtLK8c+jcPNkZyjvPc7w7bz0yPdEK5zwKkOi8hTp/vKOZa73cVzK86ewLvLnCxTw9QCQ9prvxOu16NL1HDli9/UCzvPkg4Dz9bIg99wkGvRnLvzycujs94446PWpITDrFUF487MEIPJ0wYzvfmpk8yQo5vThvOT0ekke9TXRTvYfRoDwRnH8801YgvezwCTzgQUI8ASDzvHCh6jvjM
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
OvsaQj1LyYa8njpVPYLoUL2YX4I97bD2u8Pqlz3YKCI9eo7GPLSmSryuRac8/nLDPAuPwruYtjs944fJO83JtbnEWxa9LWMYPbwN3TzF5vW7eTS4PON83Lsvq2U9gMJWvYWfirtCQ508NksCO2lfLLtl34a8qvb+uyd1vzzs0wc9lAPWvEdpej3/T0I9HbY2vUFeFL2PnZM9RzF8PAC2qDuJmv+8PFSDO+KHt7ydONs8ODt2PKU9kj3tCKQ9qOFqPCEl8TqXRTI8IdZEPXDwg73uPVk9PzqQPUbysjqbbpk88PZCPfWuULwLC208E8/NvP8Tk7wrT649GSqYvC0KSb10/ma9vhE+Pa9Cozzq0os84xwfvGL9trze8UY9+sRJu9SrKb2zBp89yiWOunZST70KCoI9HEVOPLkdYT0uYt08BIkgO+mM8jxVjZc8RYCDvSiaT7zd77W7SQgCPbKrC73x+S68wg55u8KmQDsb4DY6GctVPXkGHTzQrIY9NnOkvYK+tzrFM
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
hvk7tuR8PVvdZDxTJ9q7So0kvHZWCjy7NBi9w6LRPC1jqLx9Mc68ESlPPUs2dDzoMP688iUfvZdUmzwckUy9EQSdvH4whLwiPBu8uLdwvMcYTLulS+Q8BCiPOzmmUb0tqGi7W8CyvD/qHT0snbc7fHEPvduP3bxDeyK9HMjOvBPSUr0mNRg9Xn8JPe6217s+hge8NlSkPWRV1zwbPuQ8HpxDO2ESlrw0Vaw9iidJvbcC2Lzx4ww9FDAfPS3TUb3oxjS8W/RlPX1ZVz2jx7Y8GLqjvL4rTzv6jO+86zFevLaG8Lu5rAQ9tCJfOx1kLD3OdAa9Vg/3vKjTDT1LmIa8MtzMuyZZOz2rnIq8XpPHvO+VZL0UQxa7ib2kPPbJJD3eSxm8eaCYPGGd1zsWIqQ8PU5UvLkxfT3/K828OiSlvB3zAL00lDw91c/MvMYU0bzGpou85ZwHPY754LygDAO9d0/6POGiJT15E/a8gQFtO3pg7bv7J3A93eVYvHa+kbweUDK9BhBkM
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
aFm97ZyNO81kLT0F64Y83TFDPWQeab2hQuK9P2dPPV3gCb2c+aO950MEPVLW2zrm/pW7Agl+vdvoSruRUK27GSAUvbaxAL2CN3Q9HUZuvdE/tzzdz5a9AYVovd4kCrvJrY48iwAuvSimlz0e1nO8992HPWyyFT1Kz+O892oqPA68cb3DbpG8FcKDPZTOD72Fbpa8tWlMvXW6KLxvNVW9mIFivZyFBDzOp7S8urrDvXsOC7213Pe80MnIvbx1KLwXSYW9PXFcvW8nhD07a0m9FvsWPYdwAj1WT1i9SbB3vAFzY7yvvu677ylWvLmtF72y4ZQ9bx4/vJ+1Br18TzS8UiJrvUIb8byVpkw9UbCwvY29Dj1rvJ+9F/nevAcROLytQDa8FsUKvU2zUz3a5Tw7qCq2Pe97gDz9nPS8Q69Uvcthlb2wxqC7zHqTPVl7ir2Zedw8us6kvR6WgLyh7N+8CkPivDDt+rt85h67/vRFvUXVMzyjEn29f6knveaxDz14wEe9XJ1yM
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
Gg087ynWPDsgHbzXXJY8Sxa+vGQ847wfrYo9cVZBPWP0qDts/hw9+pzzPHBxizsQZzi9IWcPPShTND0SnCQ96LF/va1a/DxUU/I8T+/nPYvzqL1a+Ys9m/5GPTWxLT0tsYw8EGxhPbJpMz3o2348dJvVPFHHCj085+U81fskPVmG7bu0NRg9q1S1PQ7MITzBGIG9ka1vPYjxNj3P+Ls9PsSIvVOZHL3xFfs9OsmfPTxaK73yFYA9stPaPD2H5j2WARi8G+wnPWeyiT0KB048BaXFvAe9UD0R0h68Lk39PBEuSzyHSZM8xf0FPeipZDy2GhS9yzLAvEN0Cz18Uok9NiW/OrPR9bs41lY9EdRtPYJdkTtuWsu8areau6Grtj3A7EI9BSu+u9fxnj3wKU87O2qtPKWLAD1bzIM99E8FveXAxLuz7BI99iZOPXzGhj1h9YY8GN+uPJo0bz0wBCg9Vo82vB9CJ7xBWFI9iFA7PIGDi71i65k8FP6uPesAxT0qI0m9SckGM
O5iWoT06qU490ZPtvDqyxrwzqYg9VlfbvCO7wjyUCk49x2NEPVwsUz3ec8o8rPG6PF1WebzRHxs9Tw6kvEjkOj2gnqk8O8nCPf8vzzz0uzI8LkpRu8awiz3m+LM8V3sQPSN+Qj1aOmw9A08rPW+FtjxN7786IgQ4POx6xbyOBiu8AXcCPM4Am7x9mpE8xFQNvdq7kzzON4E73PovvadO2Tzu2SC7vHc+PBrUBT05GOg8oUusPc/jAT2keGO8D4KIvEo9MD31oiG8a3TlvANWGL0LFNW7CKirvLFmh7wW7kO8+J8wvX/Nh7wwzNS8z8ACPb2KhD2KWio6bwJWPAx3hr1NGhw9KF0zvREJKjzieL+8RPHhPCYkcj2tjnQ8SEiOPBum4Tubw8O7mjGwPF6+RDsEX5g9B2QmPa/IEz0sr0+8FLqGPayVVL09YIq8pNoBvfhCkj1bExs9nJExPeghuzzjOdE8R3VVO1nqCj1UN/q75a9UPfZUfzuYQO08jGjrO3qAVT3yM
nSm9XrEBPZKlUzwDmgc9KbCrPSbBDr2A9lQ9pEkDPsRIWT2/NuG7UB9svP4bvDzh5PA9ecWEvPgQRT2aGA89tlw9PRZiqr0KC3M9u+MdvA70XT2N9Zq9LShxPfWQhj1kYcO84xe1vdJ3UT2brOA86kOQPLXUjLxoFga9bTUVvaRe+jutQiI9Le3NvDMHA7yS8Dq7OeI2PeDAFz0OlqC9p4eMvUN7Mj2iq0I9euDoOwArBD2BUaW8rlfbuizVeDxMKNE8eTRPvHvc/btRR8w8cCzlvaYwNT0pHD+8o1BCve0+Xz2T4dc89WuqPPCaUbwT+qS8itGePd1PXL2qdFK9+l8UPWYrbLyKgDY8qVVovKbmz7z5Tj+95gJkvRuDd71OKGU7sDiuPMqdtTzcLvU8dviBPNZLQj2ROh676RauPG9/NrzO+Iq9skE8PWzuwTy2pDW9MLSGPaBXab202hm7eEdKPMfxSruPziI9y9aiu2d8Hbw3+PS8H0QSPU1a1rwn0Lc8iYjkM
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
PH9LZL3Mjac5v/HrPMhRkT0lnrO7lkCQPAPkhzr9DQ29Mme1vO8eHj3UAKO8K8FWPcP8NL1rCVa9LNAvPNF0NTxFm3G9dLA9POXPOb353Uo8OHTEuvaEVLw3nY69CWuoPE11iL1Vgk282OkXPk19a72bTwY+TXP8PX1e4LzKvYQ80wyOvdMn4zwrko49PJN6vT0e2T18jv49lDbVu4N6QbuptIe96aIZPc0qoT22odg86oWfPa+IgT2DSoe9/tM2O2evF7vWmKG6L+MHPUaYlL27cdQ892+YPQgawro5AuM8cV1svYH2hbzeiwS9gzbBupwKZTsBBtm8QjgUvZ5YHz2WSs69sTayPGKLjbxRlAo9BwY2PddTNzy8xRc7xnbgO4wrJL1lm169WnyDvfedgruKC3G8tPuCuwy4y7xiB5I9BoIRPafG0TsE9DC955mQvcf8+rsnwYy9vylavdLnLr2yb7c7QmEyPU70KT1NGtQ8dDYdPXKwKz11n3y9MMzwvNI0gD2pM
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
ALa8YkNUPFH2Pr28ni89pBv1vI/OEL1SH8I80IcwvDbdzTuEXG69bhxevBDFUD1foRM8Cgb4vL5OCz0C8449EJIivZCTBb0PmW69LHT6PK50YDx84KI87ZqtPUWH9zuQt5w86IIoPS7vqDzjRIu9pG2EPKjfW72U2q89cGjyu2PRLj0grL49kz8YvRgmJL2iqiS9u66bvHm8Pj2dBES90UGTPf9Klz0P7lA90EIGPN0i/bxisCC9V9ZhvBLWITywX8G8dnSNPfKiybyVM9I8em4LPHYi270vVnI8cH5BPYNhzjgiVMM8GE1PPR6TgbwU8Jy9y9ixvSW6SDwSriU911KPPbarYzwTfIS9endpPScB5bwZ3YG8F6WlvVled7xxPLC9KomWvZH39Lu6+Lw8XvQPvK13fr3ffqu9/3VePa9mwL29NAi9xJO1PN+AlTxhxBM8RKwvvD8Lkr1ckMG8TYIFPGpFCz1fOQO9yFSqvHIl57sGW6I7NRqzO3sEG7yQVkG8duiJM
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
PAvZBj2ZGVe9j81tvdddXr1ujUk9DCLUO5UgSb08fqo8uNq5PZlqOrzUbB09qY17PQ8dPr08fzE90RhBPf7YKD05vKg7XGCvPNLUWL29JcE9KRN4vNJxhD03A5c9b6PXvNDCSrwVpgC9tguYvKHt8T134467RHqyPaTJ7jznhWw8c0IUvcq9Sbw/pxW7DYmqvTVdCDy/u2s8266Ovfh9f7zlF8w6LE6OPNkxlL3RFBc9k7ONvDj4xjtTpZC8WQFmvYuUhb2VuGY8fBWQveZKYbxYntQ8/DdHPbVzIj0gQPa8vUu9PEmBIz1uOw87mLwhvr5VIrtjnYe9rz3GvYSdHz3lHqK8wIgsPVhslLxqTXW9OVRevPjSI7x2EIi9mAqIPXYOSb3PA9k8gN48vbqFmL25NZc8lKVSvfViBbxnAFO8uw4dvbQYYzz6yn69IkBBPTy8Xz1a3G487vWTPPlInTzDRpa9RoezvIbJkTpF4yI99wQBO9Kxoz21Wqs92byMO6XQ5b0/M
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
aMU9C7WJvJuLBbucSsy9f16FPafI072uKAi+e7iVvSCP9z3IAaQ7EFLGvaZxlrzyodY9QznRvdI5RL0vb0y9B0bFPSznDr3oExO93X2Nvby+9TloRMG9EfsjvuhpK75YePM9ThgRvalfs72uWzq+bEp0PocVBL5mAiC+d7ZPvhV4qT0zO5i9FwPovQFEFL4iIjw+gMlFvq0XEL4y+QC+4cWkPejcqb2EBvC9UabZvdMsTD6YCLC9B4ulvb107r3Fcq6883yTvVrYwjzCfBK+/dGGPkab373MbDC+iFJsvS47prxVwQ6+kQoqvk8cyjxLphg+Z/I+vp6jAr4Kl0S92zHlu9LaC75CdlK+angkO6aU5D39NAi+/JbBPHB4Pr1m2908SIyqPE6+jLzYyGC806btPUaybb3BfTS9aytnu5+LMT37t3S9HCQRvk6/ojv3/cM8LSHmvRnC6jvq3kQ9lxXOO7t/Pb29ny6+rNO6PSxE8DxmmJW85DWxPY2siL3hDQK9g5ayM
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
veOAeT2BDbM9weonPHCEgzynpaC9ltpXPRF3tj30sFi9eZdzPbplyj3Tzre8OGiYu8XS9TyS9907LNPAvSm9BD3mrXi9qP8BvEqXXz2jOK87uJmPvbkCGL1ylKg851JZPUzKb73qQka8sQ1WPY4E/jwD18W9weJ0vY+iNzv2NQg6yGSDvACI7DuuSUi91Ta1PcA5FL1ZnGS7ExBtvFTJa7zAA8m96xCBvdLUkD2bola9h/00Ou/oszlu2lO9vn2PPIVtMDwuBnQ8ICuKPH2NjL0RCqk8lTFdvFGErL0wt048nZ7rPB81G72Frb49nM4pvcsDwLt33cU6/YQ6PribWj0m+JU9r+V7PU1ePTwHqUi8d/bRvVMVmr1m89I9K4h8ukE0jj0CdKq7nT9svf52K7yn5L284LhMvWMklj1TVcY8D2mSPUC1mrxbBc69zL71vH1NgDz5aL68+wirvGZkRz3rqLy9mHUNvUEFNT0ezZE7ZkJLPa3FojxXis69Fz17PIUWZL2NM
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
yoU9919iPcHYerxpYRk8GGeAPV5WE77WXhq+IjmPPT05RT2/eGE9KVWoPZq8vLzOtPO9xgaUPXQqoD00Fto9foW/vP87Jj1sPPU8zaePPGWXBr6B1co9OIBAPhvQPj1L7Ke9TwFBO+Yh9zwdKVs9FeXNvd+NAT4/Ds49NeYDPjTdjb3/gbg90vpiPd9UmL3Mq9W75wH+O/dvwDxD5LC6RsEJvZXuDDxFjwM9UH8NPODxQ73G5s89FXAMPk8gAT26w169bagNvJGulj17a8c9iYemvQgbpTx2duc92SCMPbWtZb04dyk9FuhrveF8+r3qZ5w8REQbvhIGV74kIME79MFzPbTxoD3KWcC9P/7OvTKmyzyBwCi+01u+vTIBU7x46r89ZHKBPcUNQz0pVaO9o8PJPe5O/7xtfQe+jzLPvFwhAT6nkY48K1Z9vXQ8dj2vZOq9394yvr4M7T2DGrO9rYzSOwSQ/7wl+Ny9oXgSPQNDeL27Hw++8G0gO2s86zxibks98nrBM
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
vX6Z5Dz0MxK9M8/IPKRGW7wtnL26z1XNuzT51DzwlH29B0oivZ94m73oJaI9vxSHvbr/5Dxvn6y8Cw7UPcIx5b0r60C9DCXOPH/2OD2vQPG860Fau3Xksr0bh3s9wKuWvUTzpbyS4uo7yeo1PYdGpL2/Xzw8oeCGu5VnxT2nZj47CeyXO4DUxzzrpU88YlOXPKj1ij1o16g8BQzbPMzamb39Fye9WoIbPDJEHj0xn0a9Cij6vDZXkb0/+5Q9bezxvZllZb1ECbg7KN9kPQp/ET0Rcbm7MO3/PQVyBr173sE9B/55PT8mEbwvquw8DjD2PNEwGz2VyXE9TULWPMbjDL2wWSw9kkWPuyqRtrz7qC67YeQTPTahQr0ps5670B2uPKlgob0mXh89h4KeOrLj1Lu88Ri96rTbO/XuZL2uF7q7kDU0Pcjv5rxbWBE90melvMjPnbxLQDI9yU45vcPigz0umas7M/ENvS1YkrzuDJ67eF/hPM/tID0lCaS8V7qCPaA7OLtpM
jSS9zJFgPdGRu7uKtJm76CVGvUXjfjy+Y1q9H4m7O2+jIj2HpPA8jQ0Xve4R/7wfPI+9ePX8us5d3bwupAS9Fa/DPDxCLz1jgaK9GkYmvQqPjbw+KO08ADnYux23xbwLK1i9pI55PPH4CrwST5W8lftUvdP/Z71hYY48c2jFvJnRML3tW8y8Li1NvHDoKTy1XY67xeMXPdftVr07zuU7DSMNvI9G4bw3uEs9R0VVvPUBd7350Ig8mpELPf+DNDzYbKw9aK0WPNGp2jxpkTW9lqkuPoGD8Dyi0Yw9GmEgPZusj7ymwei8dEyfvfOFgTuQ9Og9eu2ZvGzMpT3ssoI9wUwGvht6lb165B481H+LPByZkT0Lghy8RUd9PSfRXT0/tke9dhW7u/Gxj7zRqyK9SR+JvW2CmD19ute8/PeqvaKltztu1vw8hDc4vfoGAD1jWsq9cbo9PRK6w728dcS9DHonvdWCJz0TBkW8nlpuOzu+9L1OURa8yTYvvfX+hb3ZmWK8e8CjM
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
PUxtqry9Seq8PyUBPbChNbyutQU9pPDcvNM7Qz2Lxo49/QUuPSc3xL33SUY9jUI2Pmajcz1zfwK9p7BUPWUzVT3h+AY+v5lGvQx9GLzHVfU9NnGiPU2Zgb0HC6o9mfaGPC1qAL2/Uqs8XAGsPTwpCT2LHsE8eD06PQwHHjtt7GM9v/m3uvtlUL2X6sQ9wrEWPvA6a70ikyE9Hz2HPVmiyT1CTtm8NAxNvRKoYz006Ts+frJ+vNkXmz068vU8NhB6vToxor0zD8W8aoWBvX+3OL7whLi6YhmcPYJXhj2XRai968bpvb9cz7zHh1i+8BR/vpGIt7yrpyE9DNuOPf1XCr1MQhK8YeyPPTT2pr3/VeC97Eshve3yDD3QU4K8WWfqvAUEI72t0q29inWNvaVJ5j2I3F+8b6TyPEo0zrxaXrK9a01avEl4j71rKvS9HfskPHMcy7zfnQc9I7y8vBu4jr0H7wu9+FwZuOal7r1xIsG8mMaTvMCMTj1uTdK9FEWVN+LUfj14M
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
lE28LXGSvUDUmzwSzl+9LcVqPfx7b70Mw3G7umUCvczJjDz9kAy9qR6PPN/rJb2jEJ49CrXvvRWt2Lx0jxs8SlCBPN4Rizp1Yoy74us4PZHIJLybUci8H3piukU1trzXNT88cKsgvMxMwD3MEIm8O8jjPOvplb2FWUG9atOPPDxmaz2A7Tq8xo4FPBhxy73tbC07wTGXvdK/br3yJJ08Q0Pyu6kiqjxjie47BdMOPtB0gb1wiR499IKBuwN4XLxjAs88wNORO8Tecj1sg4a8HwjpvPPoZjx5CIA7ascPPV0i9jyuFCk92AmLPa2u2DdsfJi9/wcePe5jC722PWE9Q/AcvF9nHLwG47a8FeWTuxDrIDx/XuM8kKwPPABrjLx3eYG8d2kTvYsVizxpXu08KBqyO/PoXrxyXbA9ezS6vFzezTsvZ3W9PTRNvF9NjT1jW7e9k1NfPRDsQD3+n8O8GEG1uzZ41zxxYfy8fm/pvevM0DuIq1i9nWFuvaoJerwtOfk9qgQZM
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
vWcJ6L2gq+64sIegvUA2qLwxW4g9tVEvO79MMb0tggE9jf8rO9bibT04Yyg8TS9evGmoVr0Gve48FyrtPHWduT2LDlG8gpIcvUydvr0QwIq8F1nWvPb3XLwAPlE9kPN4vEtnib1eLpI8UoPWvaRuiL0kCSg9bZZlPdD8Pb2MBhG9MTJKPVNjpTzuO9u7MUmrvO2KiD2np3q9xCcjvKoJgD199eK8Kn8oOBHa6bur41o7JalNvGVH7TzIeJC85dsZPbuiRL2yu4G5B5FOvYxWYL2nTh89sgGRPMnfkTwLNT+8vN0ZPQnAnTzpIwU8Z6TzPHk0nTxCUSQ8+4jfOx0FWz2pF1w7cM2OvHyrB7kTvpk9o5T2O9aJKb1Gumy9tPQAPJQdHTw/noq9I6qQPUFhCD2IYwi92Tsmu2jl27x1M149DutOvSQZGjwqXKe8+bKPvc4ghb3uZX49DC3tvXy4Zj2cwbC9DJunPZE9Mb2V+/a76oWivZyY5D1v8RS9AQwiPUQhC732M
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
nIu8Nam+vTHeCT1cgbW98JtnvbUQ3DtheCS9FscmvbH3lb2+1je+PduvPdnTD77o2zS99W7YPYvqhzs6nk+9pVDcveAyOb0I+RM980v/vE8itTsPuJU9+acHuqKHPjxz5ey9RFGGPRxvub095Zo9ySSBPcUxgr0+FbW9fukYPbiWhT2l63Q9XnUPvi90vj2fbPi7NVOku0XFHDzqW489sWHjvJP7NTzWUBq9LMexPeXf2zwCGBy9yJIOvYcJ9Dy+SAi9yjYtvUCNgr0qgwU9odwsvWgyzL2uj3c9/tyPvRbNGD25MX09n/pVvRNKC72Qioe8/RrFvUhOFD3xmla9208HvXdkkDwpCxY9z+WhvMbPNTxjpLK80It3PeXVpLz/rwU92jQyvQIxbLsyX9i8PuyxPOuPmD1C+jU9c4i/u/P0h73HXkk9AyQXPWE/Nr3BXd49Cg/0PI5QNbwRPYq9E9zxvdkUfD2XZC88gbosvTVeGz3NEFk9EGcDvH/NDTtjf369WvKeM
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
5Us9bm9BvcgGuL0zjYS7M77rvMqiDb3ttF29oe2BuyIOI72wBZm97emQvUgXFz2IgH+7zRuvOkOMAr3IGGs8XQzcPGYwm71w10+9K0vkuwxrFL2UZVS9owERu16d9jxAunk9NJiKvIC5dr06iHK8n7oxvSFeSDsp3OO9b4YUPQGtVbr1UT29Xc6MvebxU71DGDs91Wh6vUUTt70+Qia9sbwxuxjsyL1BASe8S14tPGvPgTxTzHe7tqowvc/uwTy3yIU9kWaHPPeiHL1eNjy9vqxcPR2/fTz33vi9fJTaOSsnfbzw2tS9DirgvWnLcDxSFPI8K0gHvbKTtL2z1QC9rQI4vV3v4r3u/aW8beu8PFIHD7uPkL+80vs4uu6uJzwoU3k8GqSKPCkFg7tn6+A6O3wPPfzIND0LmL+9p7WoO/6nKL1IXEi9OIKmvJa+HDz3WIQ9JXlJvM1b2L0xY9G86WtPu9Zzxb08NUO9IO6APEyejj2jksa7CnMEvfL5XbsXODo9pDK7M
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
BLc/BRqUP5g7u7+RmrG+0NSdPYL8Rr4LxwA/", "training_traits": {"structure_gen": "Triangle", "n_layers": 2, "max_nodes": 8, "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.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTimeM
(),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,0,25,0,1)}else n<50?(o=1,M
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),this.nextStableTimestamM
p=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=new G(e,1,e.length);return M
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.rect(i,o,7*a/8,7*a/8):3==s&&M
(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=r.x*t,l=r.y*t,s=this.c1,hM
=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),random(n.yTop,n.yBottomM
)),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}=this.wall,{p:o,v:a}=e,l=eM
.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 o=i/this.maxR;for(const tM
 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.bezierVertex(57.699,64.19M
9,61.599,90.199,70.199,112.2),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.bezierVertex(370.799,404.5,454M
.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),t.rect(0,0,500,500),ie(t)M
,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(203.8,502.8,148.8,497.4,120.M
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.bezierVertex(100.2,M
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.bezierVertex(399.7,M
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),e.bezierVertex(424.1,42M
6.3,408.9,442.9,386.3,452.5),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(43.2,279.9,43.6,278,42.1,M
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(233.8,10.3,242.4M
,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.bezierVerteM
x(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(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55M
.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(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(M
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.bezierVertex(176.299,183M
.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(182.2,79.099),e.bezierVerM
tex(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.bezierVertex(231.4,27.599,242.7M
,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.bezierVertex(210.4,122.399,212M
.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.bezierVertex(309.3,473.1,302.8,472,M
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(258.5,367.6),e.vertex(257.M
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(278.8,145.3,275.5,146.1,272,146.9),eM
.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(304.2,76.4,305.1,78.5,306.1,80),eM
.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.bezierVertex(317.5,180,320.1,18M
2.8,323.5,183),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(446.8,218.7,451.8,236,446.6,255),e.bezierVM
ertex(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),e.vertex(442.5,291.4),eM
.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(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,M
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(104.8,168.499,108.2,168.899,109.M
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(208,212.9,207.9,216.9,205,219.9),e.bezierVertM
ex(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(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.69M
9,370.2,130.299,370.2,129.799,370.2),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(201.599,291.3),e.bezierVertex(203.69M
9,291.3,206.299,292,208.299,293.2),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.bezierVertex(193.399,425.M
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(297.8,221.8,310.4,226.9,323.9,226.9),e.bM
ezierVertex(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,M
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(323.7,437,323.5,437,323.299,437),e.bezierVertexM
(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(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,3M
00.9),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.bezierVertex(369.799,380.1M
99,359.99,383.299,351.899,389.299),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[1],n<r)return t[0];returM
n 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;else for(let e=0;e<t.lengthM
;++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 __leaky_relu=e=>e>0?e:.2*e;staM
tic __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;static __apply_binary_op=(e,M
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.flat().reduce(((e,t)=>e+M
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.hiddenLayers=t,this.outputLayer=n,tM
his.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.map(((e,t)=>[e,t])).reduceM
(((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=H.mul(e,r)}return e=this.M
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)=>e*t))];else if("Dense"M
==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.setUint8(e,t.charCodeAt(o+e)M
);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",this.elt.style.top=argumenM
ts[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",n*this._pInst._pixelDensM
ity),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("width",this.elt.offsetWM
idth),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=window.getComputedStyle(this.eM
lt).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._detachListener(e,n);var r=t.bind(nM
);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||null==a.return||a.return()M
}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=ee(t,this),t.addEventListeM
ner("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.height),e.rectMode(t),ie(e)M
}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).parseFromString(n.target.resM
ult,"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.addEventListener("DOMContentLoaded",M
(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="485";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,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tnM
,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$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=createGraphics(500,500),_nM
(),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"],["#231f20","#ffffff","#fffM
fff"],["#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","#5b6988","#cb78a2","#5M
b6988"],["#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<ft[e].length;++t)ft[e][t]M
=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.style.display="block"}))}fuM
nction 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(){zn||(ce+=(width-ae-we)/M
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.click()}function Ln(){Yt=!M
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),closeSettingButton=br("Close",width/M
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)]),yn=!1,wn&&vn?(n(Vt),i(_t)M
,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.visual.lifeCycle,Ct=Wt.traM
ining.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.$nextStateTimestamp=vr(new Date(on)),window.$M
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);for(let e=0;e<Ie.length;e++M
)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(0)}Me=[];forM
(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=map(Be,1/30,M
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+we/2+ae/2,height/2-(n-1)/2M
*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],ytM
=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$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.$rebirthCount=sn,window.$intM
roText=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,r=min(Ie[e].length-t,Te);M
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.push([t,r])}}tnM
=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++,un=0);for(let e=0;e<hn;eM
++)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.strokeWeight(Ne),We.background(2M
55),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),Ke.background(255),Ke.rectM
Mode(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();bn&&(Ut.updateAge(new DaM
te(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(Le[e][o][0],Le[e][o][1],M
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=25*le;for(let e=ht/2;e<heM
ight+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),1==me&&(e>=0&&e<20?Ue.tM
ext("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+"% confident that I'm right!"M
,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+70*le,80*le,80*le),3==Pe){M
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. It
s stable and it hasM
 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(BOLD),gr(Ue,width/2-225*le,wM
idth/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=[],c=[];o.textWidth(d)>n/leM
;)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.textDescent()+o.textAscentM
());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-87.5*le,600*le,90*le),qe.fiM
ll(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?r="1 Month":"60 Weeks"===M
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/2-285*le:width/2+10*le,o=n?M
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("UPDATE BITCOIN FULL NODE ADDREM
SS",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.textFont("Trebuchet MS"),ZeM
.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++){let n=lerpColor(a,t,e/o);i.M
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.strokeStyle=s,a.drawingContextM
.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+54*i)/100)}function pr(eM
,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),a.style("opacity","0"),a.M
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 ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligeM
nce.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+=M
"I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutesM
().toString();return 1==o.length&&(o="0"+o),`${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],["1988",5],["1997",5.5],["199M
8",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",74/14],["Phoenix",74/14]M
,["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_layers,"Max Neurons Per HidM
den 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" intM
egrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b5f4fb83bc0a253","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_397", "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": 13, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "1/6fvG8Xcz0xiWQ9xLBTPZaxNb2z/iM9tJAAvWmbkjpp2vE8A48DvVy+iTyCrSE9ouLiux4WsLxRasY83rSwPGGKTL2zCRs95gm6PN+TgL3Ttqo8tLkSPcZBvDx7BAU+6UFOvUo/er2t5wG9D5IevZkZU71fDEa9TnBSvTU1hjy5RU29Oc/sPPBjA73sjVK8i4WJPZhJ6zw+yqW8e/ZDvIbpmj3t9D29wcsM
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
O1hc92twUvZKO37tdyAs85cbXPdsdmr1Jlb88pU0KvcpLnT0dsBo9K0ySPXJEW706u6K9hS8ZvJjxHbz8cHI8hoSLvOBbkj39EoO8kFZQvXaZPj2tIc89Rs/JvcXHOr2Dbgy9RswwPBWK0DycHGk8I2eYvDD3L71U4Gw9yyotvWjr2jw8qMq817MaPdO0g72Y9JW77QVOvG7v0D3f5749iLyUvYapCz3EQci7pYlYPV2Sbb1fMQO9Z8A0O8f0zDxDX+I8QgW7PHl52rviYI29rL1NPZAJ1zxWMgu8nKugvYmltD31Z569axfNu9wTzzyGYXw9e9XEvXD/fT2vbX88ze6dO9XJAzth4LI8S7rovHWnubvKzDs8Zde/vA+fODyhFPQ8dahgPUTdaTwO+XM9PjpVvOvnPD2s3dg9l1OevXxkKL1fjii9pOCyPU1HFbwnMTu9U0Yyu84g7TyWwlY9qVb+POhdFDvJLcG9HcYDPQ1goz0g75e7fLIbvD6ehD2Zclq95dOM
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
Nb7E8MUfkvSgSID1QwyO8eDzmPMnPjr21N8S7aiZFPVEReD2ce1C8wo4SumtKfDxLUZW9IYCJPMDPRD19eYW9zZPJvHFzPDzf/Q698dGGup3OUDzIU/s8iLxlvYVYK71PaIG8ierrPCkQZbweBys92h7KPBEfaj2Vqyw9ya9hvA6BOj0SylS9D+zPvNPxsb1/+QM9DIiBvMX5Qj3lpbQ89pXlvd6+RD2EDeQ8JIQhvJ11eLsPyjc9cBMfPSF4FD2Gyoy8H503PWRtCD2fssO93X4APWBrYbxAe2a9p6yAu1SXkT0hveO70sjdPLDKljwcx+48qerYvWfItTwulVU7Dv8aPVdKrD28jjc9w8urO4r7nDxjCja7iCbmu9Jd/LwhLhG89wm7PKK4i7xsCZE8cQ6zPDACgD0e3cY9Vq/3vYfGZ7wXDK68BWp8uu4hL718H428albTOqJokLybbm49zyexuleu+jw4MYe91kI1PRqjaj29g6690W2qPMWrSz2F0sI833yM
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
aPeWbhD3Mxpe8rfwYvTE7IT0Qirm80J96vOAhebx3L7Q91GCVO1PNzbtY0mk80hSMvOy2BTuARgi9rwyjOEb387w6c3S8i0Z7PFfgsj0u6i89jPzevVdGpTwtCvM6ZLGpPIt0Or11CKM7RJrRu8n8Rb0eqyI9jAUKvEugED16Tfa9RLuAPQdeFz0HtzK9C4ZvPK3AVD1DCFW7QWRFOzNTD73GAkE9RoGcvdUjKz3MFNQ8gvaLvPDzozwYTFM6sStYPLEwOTvUYUA9dRB7vE6MSj316VU9cRDzvDkcgbxt/Pw7P8RPPR1ILT31Hag9TM7AvSvmqbsr2ry8GZu+usQVCDrVNPA8sp8tvYjrMD1VnUS8U4obOxDY8rwZgEe9iBwBPTrRRD3YtCC8U/bevMvLUD18a7K8Raf5PI/kxLxwSJs8wUlWvVJvDz0r3yE9HpPAPB9vATxOuq49fmoFO6vfSjyrQQG9FVX3O6U6G7wLWqG8uOUPu2YInbxH3yq8Jc9ZvYKivT0M
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
Lxt09zjHWvRV8Or2kzyk8EZMwPIFuqrseTXO9ubkwvTdCszws/k89VMNmvf8gbL1rfmO9tUp/PfgzhTwIaYC9Q0sKPW9KQj1RonE8VD8lPIiJbD1eM6Y8nmzgvdEJj7y1Sb08fukfvSp2sD1Ju5k9B+ODvOiGhD1DkbO8kobSu8mwxDwYASk9VGQ4vVHwL73yoXo8R2gFvafYWDy5FwA+Kpu1vflatLxkqKG8fV//PFFNEr2SigG9nhwnPIafHr0gHBq9zI0JPMOPBz2WgJS9pwtwPe8Zgj1tAVu9CTa2vAHtnzwuq368vQiuPLH6IT1cnyg9wNyXvT8nHLuuoNA8YwcRPZKowryvnJ89yqHQPFnIdTyRVIw8WTEVvOR1erxW0Ja8zj10PftaOL2/GRw94Eesuzs6RDwEFMg9Nhlgve7poryPbdK8KMxMPWD2eb2dvhw9JTGMvAAFOzxNgiw9V9JAPWuSEj1J8Pe9/7WFPYriGz2lD7a86GynvOtvODzJktw8pPmM
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
u9/M9FRUEvrBSsr05sOi84BKaPCepCz2cfZq9RJ+/PJGLh7w4Fxu7gl+mPGjuVb1wXPW97TLLPeKjEz1eyDO9R8tAPeuDKT1W0iS9KLNIvAd5yDwAIwu9AKulvW0P+LwxjFq7bTsXvXWnxbxGxBE9vkySPWBGPTwqI227vgR1vOhYALyIsfo8Q+GVvHuLYb1VPII83EfnvHjGuD2x56U9U9yvvdEfkLx7Evm4vgDjusRLiDoyFZ08/CqYPPzlDjvRlKY742AnvFn9jbzmdr69OgS2PUl1ND3uvD29AQ/DPBVZoTocFz499FkfPZOhQD26sfa8gC6Zve91XL1sjWc9XJYkveiqXT3L4Ds80NIHvfLA3DsEMa08mHDWvPG0AL0Q5yG9Gc51vGf3q70l+pg7ZLTLPL4UXT08CRI+0MyTvXdMgL0bHDU98E5RPY9jHj0TVf68Pl1EvfG6rbzLidQ8y/eZPDrpYb032wS+M0QlPWyJuDsozBm96eD3vE0iyDx2tZ08/BuM
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
3AYS9dZ6ZPVgE4rtMAEg9NWnyvRkJ0z09SQk9ivytvQa/kr3jPhy9zUkJvmLLtz2wIZO86ujJvfFqMrzyQn89xXgiPuGaBr1zG9Y8m5ckPc39TD2FoIw9Vo1yvYOTRr7rMNI9esA/vvWCer1gZhm+T+69PVj5bj0HxuI91ZoSvban3z1Na+c84oD2PXnZq72Q1z++1Af5PdokyL0d4xy+b2DlvBZu0z2OGps80NhcvGfz2DwGKBU+3NTTuz6h2D1CHLO9rhdZvaANDT5HaRK9otE/vl4Zs7wUTtE9Y87mvIR3Ob3fTaC8SdDxuh3fGjtba6o9rNJNPbAI97z7hKi9jkQmvff1mrsdUAa8fIGRvOB7CrxY56E9Zlj7O6OxU70nXTA9yLvGPah53zzKFpC8nv31OyM7qbxqXBK9XTNoPPpo6TrRnCm9R7zzu6FnMz1ffB09r/bxvAyRqT3puJ68pdGdvLqnibxz9ig8HEV0vStI7LxS4qM86lQRvskxZr2POUQ9WBXM
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
S47q9KbyLPVAUkz20MYe94btQO+FLiD0UfN88+854vQBBjj0Myhm9wCfKvVZ88Ttc1wM9rPWOuRhik73KDWs8obWDPcgupLwCQIM8KnIFPJsjPj3pH5w9XbyCPSzbnjz+1cC8BgrjPLx7OD0StcE8EMSivQqoy73ilEQ9gcV0PK1MbDrwLSw9q4bsPOwpxT0R3a68HTgtvZ+5xDwFpfK8fcuiPRmrG70PWwi983S3vCY/8bx1WKS8pfkLvSpupzzcuFA8pp4SvHlwGjxNoBo9aT0QvMj5orzADX28Sl3YPbO6pb38+7C8TsqQPTpCdT3aGW892aBzPLXvUr3H6ig917V2PUrHsjvOfUy9/2G/vAcVkDsaius83GsgvbAF5rzHAcs8w32bPVaNFj0gt7O9d7VnvAZwljwG8j89c9G3PfPv1b1qTsU8NTrqvdmkwzxlUei8P1qsvDTZcb2c2I040W/OvUs4Br1JPKE8B22KPe4+Rz3auhW9qjZWPcKHyz3pCM+9Pq1M
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
k5rI94uktPV0CBb4FXA+9iYrPOz9NsLw2PoW9eB60PkDY27tN83k9F/ibvfMDxr1A57e8DAdhO5JMjL0Oq5y9UD5uuq66szx/Tge+HtyvvAnKcD0TIge8X+CDPWsAZD3jL8y6ab/uvUJ1FL15EDM96tNGvTanVr1AUIU9cO+Bu8Q5gL0S9hI+bgWsvdJ0lD0W82g9ccuWvZb3Db2y2YG9JI8+PeRP2L14B9M6vNYDPQ1JpL31HZO9vDgePsBs+Dyqj728xeJPu919v71JIUI7tnveuzlMeL0Aqyq9AS2avKAPoL3NHFI7qdbpPN17zL3MBbi9no7ePbo9MT7IGLS8KlfwPIxR+73T97M9dgHOPGe/OL3B/Te8KAKmPGCxC72OzVq+vKEZvrkRmj3M+V085Kiqu1NHAL0h4d29ydv3PV58l72YaB08HeDmvYJqCT27Hk29hq0OvvW5Hb5MDDW8b2S3PWzt/LwO/JY7opvzuyH7Mj0YOLu93uXgPYaDe73JFZU9e2uM
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
zvA6LGbyva7A9hs6PvVH0Mb3bYwK99lKZPLL2lr3/A5s8O4OBPRKdvbzaPvI9cotFvZnbxD2Vjoo9McXgPVD8WL290F68v+u+vK7CFD2ynHi6ws3/vXJfUD0Zvoy8mod4PeXn371oA489zEOJPUj78jyfnog5l5Jyvfm9N72VB7a9TzsFvSbzfztkREw92JgNPc/owT2G/8S8sLeDPMgSlLxpS5c9jQqtvfLSmzyeuPq7K4YXvWTaar1ytHI7JfqzPQFS7TsxYJ49MR2jvCOYxD2Kn7m8O7xsPWe6hzzO34S8oYU/PP8B6jxmPCK971vEvToEtT2hMP08VjqjPWcYr70fBYU9+PGKPdJUnbnCYcS7nVwlvSIwczwmNOu98u2GvHE517uSDpI9mBlKPajVqTzCtLm80HWAvU7CzbwKEDc8GsB9vTIdIj3YHdu8y1vavIvGhDoikLg9piEBPVhuhr3slTw7XeK9vFf4wrx8C9K8RHpHPcqjDbx7Da89Wr6xu6s7szxM
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
+99e8+qqIPcHOib1XISy9uG08PY3sejpOPVy9cOWYvDyeNz6FzPE8YCcSuwqV67wekgU9Xl26vLOUWTvBC+u9ja9XPZTusr3bUwA97M1WuvJuM76jbOa9CVPlO4qWHj5/m+q8p52HvOwdQL284v88u4HWPIXLBz0P1ay9fBmxPXkkuj0Psgu+hod6vlSzbT0ONo09lIvQPEmq97zHKt+9BkDvPZjIqjyfKlg90uG+vTXv/T1/QoY9D4/rvdiStL2EfwE9c/WDPbdckj0ZWjw9AcvVvUWqqj3qy9C8AKKVPaU1Jr2nzWC9gCJQPTGy1T38Bo09wj2jvT5TqL1aEdw9jusOvpybnr2QZkS9iU+WPeDZm7y+fZ097ZgVvfBtlT38R4M9tYTMu2Qj4LyqPJe9wujpPZrj9b0v2Rm+xI4kvVMEPj34BaQ7QcH5vPiuOD0lYKE9UesJvGCv5rwSupG9ZM6ZvY1W+z199Lq9+OE8vXwPb70Z/7Y9MKb+vd24Dz7p6zi+b3JM
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
jEI6+2eHuPOgHiz6pC1Y959QWvVmMBb6gnVA+z2cEPmJJGb7v3mI8S5q+PVBDND4A3YS8EEkyvrU4lbwrruI9/Q09PfTvdrsWOHA9kMWMPb4X0T2fGFI90tUXvpR44L08TLg919jKvcaGVLwKXR2+ZBK9PXx2rL2alVc9anpMvXxc0D1mHwg+8bk4vbCGer1YMNW8ubprPrTNP7l8Oiu+Xy7wuwlRBj4eEWK9uuqCvA/KuLqVMrY91LwsPkPvwbwvu5K9GHzRvJevOj727sS86xDTvSRNATzpgIM9038Uvt27ZTzhzBC+FNVSveWdpT2co+49RHyQPBxVsz0QumG9MDg1PQmsWTyj9SC97gYCPQXtIL4kkL09KEW6vSI0Eb2wuxy7RjifPXVNOLx0Lgk+FmiSvXuulz22laU8uX/YOi7nkbx8j/S9FI1PPXyR971Axha9tJWePfZ+iD2S1YS9rU3HPENUAL2oHS49efBoPK1G5TwkqJq9JyAMPV/uzbzX+4K9Sf/M
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
wtPo7jXTuPKYSLDzuYiE9Mco7PeMU3j0Rh449FeI4PU7RFzzxCN68ByciPSPWdT3y6M29SXK6vaZYmjv3d2q9v+zBvBjGQj01xK48VKDXvJUgjT0ruFM8cVKWva5i2TpoSpo9yuzLPE4bB7wuOW+8W61qvFmwsb09Hj+8uyGXPO/bL70vBZ49B86qOup9zLwYhIk5O0aLvDjoIz34dZI9idGOvXfhlb0XBKe8yu9bvKPTcz0ER0E9NyS0Pfifj7prJtS8uB7VvHOPAb2Ukfw711xnPHskK7v91sO95dMhPbPOrLyPzak9Eo/wOz4T/7yKyy29y6gEvfRFR7xcDUo98y22PHOpobySLFC8wPkUPYfCEj0bSHK9dRvoPAuDWLxmrBS9eG/lOb3XPrwj6d07FRvHuzssmD3gMIU9Vzq2vb1QajzrLJE9hYYmvQ0WlD0rrRg9bWsNPWbTcb1RHuc8b9i7OzJYPT1JymW9bl8GvYN/Pr3MZiE9ifVYPVbk8DxlMx49RxlM
tPSCx+byVWYG9VujCvbu4Ar2GICw7TKcyPVHs1ry37Rs9cGEcvRl3bzt6p6m7EFdPPVhqrT36VV+8ADZZPUTtqr0hRsY9SI6lPceAQ7sKTx09JnfpvXTJKD22wzA8IQoxPW9DCL2b7E09b4ssvelOK7yri5w8QRbqOh8OFTvhMEi9YNkhPW/AIbyf6mM9UKUFvrIOJz5ovPy8hQwwPMn59rq30lU9AyuCve1Vcz1dduY7Ll5bPaxyhb0s67k9yonAPCM3Rr3Krrw98dXAO3VNxDy66Jm86TXDPUq43Tr1tgE+U/+PPPV3fz3M1da8qoxtvKBLhzwgkby9t5VEPeh6pb07QES92sBMvSUOfLuT3vQ8tMrmPdqBQ7xnCK69CSgXvV/Hrjss76u73gSVPUbxsTxBCz+9t1uyve+KYz1G0S29EwF3uy2+sz0Ubcu9RirOvO0JgrzM74A9scBLvHTliDyDvso8HwKguy2IOT1NJtQ9Iw3DPB75AL0/JQo9FfqCvSj3nTtM
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
2AFA85PZpuGEyLz36zeG82IlKvCY2ur0rVoa9CG6XPV1nGLzXauS9lXVBvZhs8zwwTHU909ZIPRmcj7ymfGy9n1eDu41oQL3AFFi9qp9MPHKIwLyb1pQ8FkL+vcB52r0KPHs9qjGZvTePHL2CSIK8SAIcPu5TAryQige+ap8QvbHjy7wQrXk9NDBdvW3Upb38iOm9jUK9PWMU7DtNvwW9wxWuvNjtij3L4n68JtkHvV1Ogb21Q2q9nopbvZqKDb19ud69wbDNvPuhhD0xABU6f09nukVyXTxZ94u9V1J2vTYBzLso7nK8qJpYOt9ldbwSQrm9hNDOvBM8MT2P1jY98BLsulrLtzts+bM901hWvRjRlbuB/ou9x4McPOcnML0t2469yEq5vfMKD7z29as9dDlCvZN6tz2WAM08zKuVPYGU57waHVi89PWFvb53Pzw+29S8N2oEvcL/a71Xobk7LIMoPYVY+Ts/JSS93KMPvLH9qLzp6d29aR1dvbXb4T1kyKm8rYyM
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
ecEU96xyQPT33Tb2hIIc9MPUkvcNDu7xYAIs9+CKcPTGlW7tMpBg9ycBFPXdClDxVISc85ifJvKn1nrvTkAK9koqKvD84pDxozkA9SEWBO4AiZz2MUaE9V0Gwu9xXhbz4TSQ9nu60vMnUhbt6j2M9ZLp5vKTIiL0Kqlc83gaFO6Y/1LwKp3E9J1YxPHINtbw6Dp89NhpiPW9ohz0yGWi8JK2JPLwQHz3ei4S9X0KbPVIQoz2saPw8aT/QO+9l07tl4LI8XsyWPS+BWj3GCKS9hUmIvEFL8byyJ2a97BeJPV6qzTu8YUE9Mi5FvB7KYz3ZTsy8SBMsvo6YJr7wnKY96Ienvcfy0jwLtIi8P6OJPfG0HL329hA87hrDPadiKbze5eU7xghOPW6mJb0muUi9diU5PeUCOD3d+EI9KMq7vSogFbxfCVs9rZ5Pu1BJ4D2aXeg7J73rPGjbcb2rGvC8yofEO+atLrxpjjE7OQJXPTzdvbpDBE09UP9DPuIfgL2UejM92wUM
NPTf5LD3jTbi9s9kdvmHaAr6hkPU98v2svaiQBLxevZi9YH6LPY277j0IZ/87N7PqPeUyCT5fN768zCxgPB/esr0aGYi9Toa1PfxmrLwYlWa9Jf0pvoXm3T1lwxU99LCDO3PK8j1WnYE9C+EYvKFtk73ky3K8dulavJGZTT1DWey9FpEKvbg+qr0SzrY9LCtiPezsDTze+0g9MGTTPPElCL1292+9K2iYvcs5kb0eQXI9WOoTPLfv/bsYYBA9PztePQpt7TxPigk9B9uaPJ622j2HuOw7aG1wPb2dhr1yhL08ZfkLPeEvUD3mVkM8tbOqvc6q2D2npo68jnr2vEiiNbuEvTA5tDCfvbBykb1pJLm8vWqWunb6sbtwvrO9fR07PU9+HD2yhcs8Gjn2vAC12z2NF+M8u12iPb1Z4rw953a8rY6mvLxvMD0QPnU97X0zvMjIXzzN8Do9aKA2PdkHE73GLXg9k9A8vaEP6jyTsn+6DITEPUiBLr3CrD0+dQMBPcNr2zyM
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
Jj6m8uAvdPS0f+z0m6s08og0YvbZKPz3d+Eg9zuY7PEBuPDwPK4+9/JiSvZkoBz5wyCq9npCfvABzpbz29KW855SlvXYPIbzRrOS8qR8uvu0vSz3JLQ893eJTPsXPOj4ulRa+JGknPXFVOLy1kJU9PncRvgRlyr1dsSA8zsASvjkOX73YfGk9tsPYuI+pVz4+jVg+OS2yPRScIj1tc5i9nCgDPk0/gDzx+9G8tO2jPUWO8r1303w95UmMOxB0iz1lrn28JUp6PWDQYj3Ogt47yZaovXxdOTvYaeW80L8yvuxgNz7OaWW+/kBrvX0SCrzQHiY+CjxVPm6jiD5H/d29q6TcOwh5Br7MwdI9Xd7lvKPSfL5rQGc+m1+avtgINDzywdY7gnAdPjN1bD4UQrg+NVdDPTUapDwSo2q+52DQPRz2Bj6cQZy9fK0fPgaxdb7FHSU9lknNPPGgTj4Fvdc8UaxJPv8Yoz3uCJG8F0E1vjDVpLz7Y4881ZGpvXZPND5gulK+3XgM
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
POsu8kzGXvQZBID1ifuE8XuSQvOoT5r0obqk7hbejPaI01jts3xe9hM3JPHBdfDxJrA292Cufu7TCj7yJLbQ9k/XFPWMRTDsj2J+9kn1FvMSepTtMFQy8/JXsPApkgTvP2Iu99QHSvPr2UDs5D0W7pAYMvGe4Grv5YdG8NrmQvP46FzqIWHQ9PtKxvOddhTyFDSK9xfJyu4+chj3GF0a9vtXUvFg8Bj32caE9sSfRvGrRTrzW6bA5QkEPPX9ogbozqk+9IKwsPbSyrTxyZHq9BYxdvaE/DzwjGPg9DHcVPgQs47zNwo89tL0HvR4BGLxK8I695MYyvYQStr3UsAy9l/Kjvfwivzy81R+9kBYMPJWkkD0n59u6FQTuPPJZrz0gnFm8QxhePX0OoL1GKe69Fw0oO+MQzDxaiKI8/RIMvTDwIj2olEo9vykBPamlHz1lvz09d2v/PJ38xjnlAti9ac2lvSoAhDzoLGi8fBHyuj1MCbzKbqE98oUIPpcR7bv6QfE8fSuM
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
RvXCZg72APxQ+v70RPi4P1T04wsm9RgnEPYrMfDyzFmQ9wVnSvfOm8b06WjI+BA0hvvDGAD36ri29Pxo7Pf/wHD6mdxg+ZSQTPgI6MrzhhA2+En//PP3N1T1IGci8EwuePbQXxb2i29A89nD0vOQCKj41z/W83IeMPNmZ0D0znq+8Nh4vvSmdEj3YEDW85DN2vSIysjyP85S8+zu5vbRfL73JFt09PeFCPRFo8TxGGpO86fzRvB7s97yG/Nm8kTICPBEfHb168a47ZVh1vKCPtj3CRS29WKmLvfB4CT00its89IiKPnxkZ71o8wu+bkF5OgE1Iz66BUY9yPpIPWtDZL1FEmo9rOZLvWMn7jsHEp+98VnHvT39aD7wkHK9ipMbvT+kJbuuiTy9jSDRvE9UDr3VKYU9P607u1wpib10caY8C0CcPavM273++g89ovgxvKQTxzxVphi9dBKcPCZyk73CSty8v+wovelOTjyAOxu9qqgivf+BtDzgn/26KTyBPrjFwrwM
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
FO+HsvDno3r29++ucvQIdmL2Z+bE9KiWqvbu4Sbyi2fa8mwfpPG1/Ej6+nJK9MIKwPXd2Yz3nD8s7xB69vSQbxr0KXlS9gK9IPRj+nLzO7A29vA2uvRgdGT73oAk+2Yi4PJDvKT6TYt88mVMVva/Glb0gUDS8sNqhvfWxLD3OPLS8hH6bvVIharzDPSA+1FeMPaB6/7zOi5M9vi1JPYmvq731T1i9+8uUvVf1Gb0PUAS9a4d9OXO/LD2WxhQ97mfkPAw+LT3wSRE8yG4QPe54Pj1iDu29kBl2vWCK6bwIA9U5uGGyvGWlwTybQ/q8ICCkvZdHhj3n7KU99VXwvBPIrj1Ot4U9+F6hvaCVAb1nhpQ8sbkXvT7+H725fZG9TJK4u+67cL3gAsc8C4NHvRAegj1WCKE8pHYpPeSxjL3sWrK8iYoSOyJxhD39nhs9xyr+PMu/Xr3dYIY97dnduyShirzEvmI9a0QJvaDUjD2rtQu9cVmtPU5XT72t8SQ9RL8EvWe0Uj2M
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
QNh09SrQxvTyQwrx1w7S8+iONPBUe8r11MJC8nD1ePRKut71vgCm9U9iDPZpbcr30A0K9vUqHvXQqObo+k0c7gIURPWIGk7uDCtu9QwNWvYR+3rpnD7G95jgsPcqtij0Vl6y9PThaPZ5SgL1wb9c84AGFvUE1V718t7C8aVrAvdnMTj0IE4Y9oo6HO+0skzz5GjQ9NQqsvYiBrT2A6Aa9Lc2LPNDJ/TxWe8O8iFWePN7Q1b3bmDE9PxF0vIEWW7yAEu88jswiPZs1yry4I7m8w9XmOo5ZSz33go284cwdPJhMPz3PGli9FtfwuqHlID1+TnK7fqgEPa/inT1eh1q9UqhSPZbAbL3jCDg99gDnuOUum72XaLQ80qGfvT1+ILzIP3E91L1SvGA3MryUo6M9sNKDvT8zDD3tkPS8QKQEPZGsHj1QfYs88xCqvBytXr1zqpe8ciTKPe4Y/LzYV4M80+6uPZ6gkb0WraG8/CyIvWQdnT0AIh89MwTUPXsf2LzWsMq9y7pM
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
hHGy93Z8Du7necbvToaw9o1QIvT+a4T1ldw688AcZPIn7h73IYoy9af11vfe4KLwhmLO8URCFvPncvr0JEVU9Mz/8Pf3v2TzgdoE9VWoavH9jEbxmJB49Ix3fu4AcFL3BK6M9RJnyvO4Av72xjHa9rNrRPEB0br1M3aU8RaSrusQBy7yyiYc9ZjQUPUTwrTwWT9e9V36OvMLgAj2F6fS8i+GHOpOghTyw8pA9j7Ocu5J4Uj1qd+A8cHL8PJAYP70Zp9O8VTQuvXu8N7vtwAI9lEmTu1jQ27x6NNA8USkyvB2EGj2o34C8Q+pLvHIFcT2d/qg9Ug+tPfUmlzyY5RW5OuplPIjpkr0ZgCK640AfPSKtqb31nsg8BDIbvXReZb04uSM998PoPcwQqz1h61o8Faesvd7yD7wirFS8fayxPBGjrrsKtaG8pIkwPdchmj13Hgs82y6NPdysRjzO50s8IR51PX5xoL3u8W89vyXSveRg2zyBKOg87sJEPT46Yr3xURU9GuWM
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
RvUu1mb0oYoW9iD0XPY2UFD0/mpO96FC4PKgqZT12g4E9/t8iveTrWj19OBa+tGaAvc2TqL3aWoC9Tu6jvfgaoz2pHtu8NBmwu/y1lD3ok689T8wyPCR6Nr1zkJU9ga/yvUs+Nj3yBYs8b3lVvFTwpL0p1p69R2w/vVV6GzwYjDy7YeCdPR8+Aj1meAK+UwPNvLN0pbrqyL695wqZvVhLf7w0yY89Qr2mPcbBCz0l75C8U5ZfPGTTRr1Zjio8PTTfvAxmh735QTa93W5HvajikL2hAYW8vM/SvGYw0T1DuTm89W7AvTaNtrx7jzc9igKVvCLCRzx2bg09trnFO4gG7bxmOzG8Qxauu+cRWL3PU+c87e+fPN9GxTxPRSk9jBe2vG8A0ry7Chi8f0QVPIwr7Dxv1re9wZPSvBR/Zz27Jug8IkBdvPqtoz2HYJe8sjeYvD16qb3ibqq8uMRAPRbqyrsqors9YmyZuT1Uhb2jIEA9sR3bPBPxRj17vd88sophvedchzuM
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
4XoG8n2vTO1SH+rx3naw8/VCtvIt9Vj3+6Uy9i6qMvYTVHL3ay1w9QneZPXZR+LyvOG88IrRpPD4zvDz+xA09RPHwOzsluD2JJos9cSDvvMJVQLqTPio9M3NNvBc2lj1HqN69wv1DvJQV6rwPRJ09Xt1TvSxgF70JkiS71c2TPOlKVjx1+eq9Kt8nPT14cLzV6Is9Oq+DvQetSz0a0gE8yOO9PN5dG7xZezc9IuOJPWhVVz3Dgjq9jb2kvd8s/ToUrDw8wu4rPRvH8b3FBTE9FHDrPKGzoTx+XlM8qnERPfWloT3jOCw9EHZOvaW8yDzNmTE9qAIbPE82Pj1PYvW8/4VZvVDoCr05pS08+v2lvTdeeL1/SpA7ToOaPceSiT3gRtq7fTt2vBDlNz2VSDo9qoUFPBpJRj2IBpm83ETOO8hwrDxmfIW8Hgc6PdZhgz0r3Q+9YqfqO7Fc7jx8MD08PNOpPHNSlLw/Ja69Qa72vHtm2DuWbmU9AmauPYs4AD2LJ1Q9EuWM
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
cups9WZuuuwK0uDwRkIi94PoWPejGuTw+kmM8uo0JvMuLIz1cTRS91Dt0vfPIvrui3wK8PyNxvIcdirxeC2y9h9sgPFz/rjyH6qs8q9cmvGkE6TwGYoU9MtPcvEFp5LwZC9W8Y7PovHNfATxaHlu7LaDOO47Rsb2KMBg9tJ/WvArZl72xJGw9jV8hPlnU5LxdkpS9AdUNvZ+SdDyvN3g9LSUcvVU6JbzuT6i9Z0MAPDH8Sr15xqa817N1O/atEj10Xa66zJKMveEmQzwK8VO9Q6IrPINyHb3ot+U6iUt9va0PSz3vYy89h1OzvTLgFbtcecc9XRY2vdbCZrvn4Oe8MIS7vJpsyzxoLUa9Jo8IPUXP071+NbI9CzjtPEHB8736op08XhoOPpJPrTyJLLM6pgVNvPGDzrzfoHg8N1X7PGsqxLyv9wi+Np0NPYauorylYPM8MthVu3tM1j3P5MC8AK68vJp/yLxeaFu8hfbqvMn/Pz26l7q9MNJdvOhZujsqFdy7JKgM
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
S33G8BlAuvZY2HDtIZmq9lOmLPQfTRj3RPHi82StVPd4Iuj0yHG+9bK7JvC3v+7x90hw7gL6XvX7nwzyK+4q9/bCLvH4EEr20Fnm7U6FevBZkHzzUZGQ9JzDuveWuzL0IPSq9sbYOvSKskTwtn5O71kuoPNdXDr4iY/s8BShlPRPqnb2RVzs8gtuLPdTQfDwm5nG9h/5lvZqOdT2R6Pw73dhdPGgbHTzb9PW94CiFPcljKD3Wegs9nLOLPREJn7wPwwI9jUyaO8dCQ700L0I8VrzhvNUyx7y+LZM8KBcGPjVlVjugA7U9gNokvKHD+7sRnaa8039xvZ/HtL14xEa8B5aJvbS3VLyQgnm9r9N4PBvQML0IHIe9T6KRPRaF77uRZlc9XJunPOqr8bzOxe69Jz3ivLROdDxVqJo9c+EAvYSIlbwHw2Y8Xg8gvUhuFT40Pyi9ch4bPdG7nryYAVq845GEvZLmmbxnOgi9N/tlvP0d5Tx8XV09wNABPlbkFzk/94k87EJM
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
XQeO9qwVePKNDEz2Fiv49l5WtPES3azvl+cM9NFycPbEcnL1uehK9RNAjPQVZYL0/OxO9SuucvQss4rykveE9ssq3PaXjWTyK8Oy8PyMqO4CwID3O/8S97tZyvWepYL2yJ/E8aCAnPJZGM71fYRs9kRngPO7HKj0K0+m8MM3HO6Obpj2ZAmI9TMVZvS9KmDyJVza9bVPEPAhxI71lO9i9I4qcvDWFnT38YHg9HT8qPXjatjyCxT09Tih6u0QPr72j2BS95QEbvYGsoTugorO8OGvSvWLya71YIw0+EvktPgdRp7wHCYA7PqRDvck2Db0VFNS9Mn2mvR0CO71noAW9g59NvVBDnDznJHu8kWhIPab7oD2GFY692Wy4PchTmz0DfaM9zdAXvQJg47uH2Mq8F9w4PCGrgDws2xW9XgjQuwhsJD1Z41o9dcNwvP/d4Ty5sjY9zoBHPU9ATr0Wgm29cGeAvUvZZbx20hG9H42rvbYfg7yH9eQ9C6kSPkk9uDzW64s9q2LM
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
uL/07pnx3PK298z1G/5w9EzyNvGDCFz70xxU9zAiJvRFv472kIBy9Jw1/vfhayrtU9Ia97BVdvcWAgTzvGKo98fN4PDoThD35wZ481zAZvWJSTbuCBUa7JYYkPYfDmTyYraQ73kA1PMPeW73/brI93PUsvG91AjxcToE9TvChPeUDoz3xIqq9jzFrPAl0MT2hQHc9j3wSvDP31LvCmw290yJYvCfmmj372jk9UXA7PVVypT0vUWI91osMvAIli713lVg9q0jmvJJQUr3DR3e9g36/vCxFibyexoU9b0wpPVgytT0CQo08cf0yPFV5XDzUrIw9HAkZvVKgsT3i9Ey9SqaoPOIEqb0IXxE89q1PvUVjQb0l39A9Y7TZvD1jZT36ewW81WO3Pec2qrw1+g4+Td9BPaNImzxxF8O9yrh8PWs9Kj1N/GC9CDRXPeTj7T0uKSc6dxhFvX9NlTuI6Qg9K2STOkIZt7rOQvq6zFyavbalOz3k9DI9GiQHuzEwGD6Dt1e8VCOM
CvTngPr1kA8k9phzRPK+gCj2rPUS919AIPWB64r2v0to933SSvT/fur1TfmU9vj8WPX4hnD3osKa8F7M9PXGlQj1v8Ac+YvGWvWn32z0Q5Oq9fR1GPeB6zTvQctG8jjtcPc6bxjqMI988hZIrvayOGz2WlsW8dGVuPWsGSr3mHzs9N0f7vEW3cD1r76w9XhAvPVYp5D23bFa9hAyWvJgZV705Rwg9T/qfPOoxoz2NlMC93ABxvJtfu71UDhA9utc/vCQ4W734pTc9h0GcOqjuLj2EYAC8fEyaPWbYoz19cYE9d9+IvNvmjz2NM1e86oBSu9z2QrxdET+9PMHEPVaZlD3PD8W8weyqvSfK4bwhw4I9ErPBPfqZub3sqn09Pkb4u0m9Vz2a6ZU96qCAO6Bh+jxM5gC93sWMvegJYrdPMJ49cPZ0PTnTujw9fci8mj34PKk9nb0f5Yc9QHHKvWRYyL1vfF48GxEJPVoLZTwacFO9obkFPS2P0buvXN89T96QvHrpRj3M
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
dZsW9BN/LvIWJZj3vIlO91YO1PbSksT2RMFy83Io9vZDlLz1lIiY98fTDPHsFJL22yvO7+G8avDVrmby4YL89xJ8iPTVSCz5+qf28oqLOugwY07ynj2A84UAfOaitsD1ELfq8AKZqPWERYr0yTK48IR8NvYDcKL1204E9EdLzPHPl4z0b07G9SMBNPbZdtrnWyQk+Js5hvbzB9Dybsay9YNaevMSUkztBkww7HxKDPe0BTj3OroA9GZdCvSLC+byk6/O7MVk8PcLkjL2yfQ68Rb6ivLn86jw7sIY95JTQvGgzKT1qRWG9eoqoPA1Bh70Gvog9dRvBvD9WIj0o+Zi9DA14PfDqJL113tM9s8JUvbYxl73cdqQ9NtgUPRITcbsLe+q88rOVPdevij3DtK09HcpjvJLQgz39JH+8QASfPSQmVz3CO4M7Hl2iPHuJhDzYEhq8VcSgvfvxfr2iqtc8lZRBPGnBy70524c74tUNvXAKGjv3URs9MCqjvJUJlz0H4qs8NIVM
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
PPRiTejx07Rg9EFpwu+JmibxuvP284WcNvNvRyDtwS2c9aYFdPRzoDb2TkdW7CaAcvSjEpD1+mTk8GcPEPdUqHb2SGly7+TfMvNb5IT2Dcze8Lg+0vfOTOz1P9Y89/ZWsPWu1N727noY82V68PFN6DD2h/By8GXi9PH6AV73MXzi83niYvcKIEL1Lh7I8SqHsPNOaiD2je2W9028NPYeQ2LwI5ii96h2uuaOPmzwayDu8zcw0PU2Kj72ilJU816KrPIyUo72IHxC9sZSFPOdKpDxUW4s9Hbwfu7GN7by7rRY9m6gwvXo8iLxKUo69WP5UPE/qnzzYpC+9yOxXPU97Vr0S8J48rA+CPUAkMb1hPlE9mUOCPbmKbL3SEDG9ga4jvHowFT0OAZI8/LOgPeROyD1q8Zy9UtG7PLBuarvO5bu8pZ4Zvfm2tz1GNd26OnnMPOElYb1sfy09SquBOwW3rzx8zt68KRmavRgWAD14b688dTiZPbDg6TzOLfU91wRuvW/SmjwM
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
bPD5IU71pzNk8h1q1OwfBLDxN3hy7FBIKPUt70bzG4lY9RAcIPEggXL2boZg9vZh1PGyZyDz/tb+9ZnWmPTyCsLoN0/c9HlGFvIGheT1XEpu9mHv2PIZhOD3+93m9RHVYPG7+ZD1PKSE9Y3C3vPxpAr3zylw9HrsOPLVnf70fc4m8mEwZvSWCOb2ILC49mnPjvN0Y1D3AMv+8CTILvaJRADwkrYs9is5SPOt5cDxBWwi7+yduvJh8q7ykLbM9L6ZVvX1Ilr34OgU9tPhausk/mj1bwmW9Gb0dPVEuCD1Jsvs5ekHFu9pNSz0owPE8S2JLvXt2Nj0s5ha963+TPSoWoz2C5Ro8VSYPvblRWb2G0pu8Y+CRPBWV/rw88xw8M6l+vBbR7Lze2Ai78ni1PDc22TxBGAq8uW4nvML4Fjgg/ai7KRK1OyitUj3x5408oCEWvdLKCLsr6pW7gCIFPFED6jxVsJQ9UAeJPbDSMT2ioYk8oYASu/Thfb3k10A92ZtyOw+7P7wM
hEHA7nucOvZaGuj2Sx1a8XXnnPKOF5D3vrQk879rSuwunR7pmFYa7+S0yuezHhTu6tZe9yCLjvNtQVL2j0Tk9kDN8PUJvpz2DcRg9sYcAPbuMgTuyiUU9nMW9vWt9or2HIFY8a491vdPwX71WUQO93sOJvMgLpDrJRc88b0h4PeN3jz1kjEk7DAdLPW+Zfr2AKUa8ZPK1PShP+btug6O97jrPvXeMUD0ZjhA9+parPdX5Iz0IU4M8QgHoO+RYw7wJyHu9CKfSvQlKiDzZi2C9wg4Wvd7KUL0ST/o9eRytPTA/rj0SlyK9N7CxPGpcTj1hJ686nPo1vWBTXb2sx748dHFxvPHIB72sgqy85o8WPWzVaL0fHt498ucKPe6TZz3YLIc83m+lPS5yYDxeNtg8jMF3PTco6TyUKZ29g6KNvZDwnzxXxDQ8a8W+PTJ26TxcNqg9OX/KPA/vLT2/Eow8J9Z+u5jqKj3rKoG9fqeCO/Jc7LxUuwA+ka2LPXvCgT000QS6TMbM
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
CPshJIr5m7gi/xLByvzEei77hLb2+8IgfP2t1Lr8=", "training_traits": {"structure_gen": "Triangle", "n_layers": 2, "max_nodes": 13, "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).gM
etTime(),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,0,25,0,1)}else n<50M
?(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),this.nextStableTiM
mestamp=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=new G(e,1,e.length);rM
eturn 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.rect(i,o,7*a/8,7*a/8):M
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=r.x*t,l=r.y*t,s=thiM
s.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),random(n.yTop,n.yM
Bottom)),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}=this.wall,{p:o,v:a}M
=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 o=i/this.maxR;for(cM
onst 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.bezierVertex(57.699M
,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.bezierVertex(370.799,404M
.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),t.rect(0,0,500,500)M
,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(203.8,502.8,148.8,497.M
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.bezierVertex(M
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.bezierVertex(M
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),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(),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.bezierVerM
tex(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(94.3,291.799,90.1,291.299,86,289.9),e.bezierVM
ertex(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.bezierVertex(176.2M
99,183.2,176.5,183.2,176.7,183.2),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(182.2,79.099),e.bezM
ierVertex(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.bezierVertex(231.4,27.599M
,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.bezierVertex(210.4,122.3M
99,212.7,125.099,216.4,125.399),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.bezierVertex(309.3,473.1,302.M
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(258.5,367.6),e.verteM
x(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(278.8,145.3,275.5,146.1,272,14M
6.9),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(304.2,76.4,305.1,78.5,306.1M
,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.bezierVertex(317.5,180,32M
0.1,182.8,323.5,183),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(446.8,218.7,451.8,236,446.6,255),e.bM
ezierVertex(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),e.vertex(442.5,29M
1.4),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(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVerteM
x(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(104.8,168.499,108.2,168.89M
9,109.2,175.599),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(208,212.9,207.9,216.9,205,219.9),e.beziM
erVertex(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(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(M
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(201.599,291.3),e.bezierVertex(M
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.bezierVertex(193.39M
9,425.2,190.899,427.5,187.399,427.5),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(297.8,221.8,310.4,226.9,323.9,226.M
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(335.9,239.6,335.1,240.4,M
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(323.7,437,323.5,437,323.299,437),e.bezierM
Vertex(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(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308M
.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.bezierVertex(369.799M
,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[1],n<r)return t[0]M
;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;else for(let e=0;e<t.M
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 __leaky_relu=e=>e>0?e:.2M
*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;static __apply_binary_M
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.flat().reduce(((e,M
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.hiddenLayers=t,this.outputLayM
er=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.map(((e,t)=>[e,t])).M
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=H.mul(e,r)}return eM
=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)=>e*t))];else if("M
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.setUint8(e,t.charCodeAM
t(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",this.elt.style.top=aM
rguments[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",n*this._pInst._pixM
elDensity),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("width",this.elt.oM
ffsetWidth),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=window.getComputedStyle(M
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._detachListener(e,n);var r=t.M
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||null==a.return||a.reM
turn()}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=ee(t,this),t.addEvenM
tListener("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.height),e.rectMode(t)M
,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).parseFromString(n.targM
et.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.addEventListener("DOMContentLoM
aded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="398";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,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,QtM
,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$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=createGraphics(500,5M
00),_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"],["#231f20","#ffffff"M
,"#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","#5b6988","#cb78aM
2","#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<ft[e].length;++t)ftM
[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.style.display="block"M
}))}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(){zn||(ce+=(width-aM
e-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.click()}function Ln(M
){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),closeSettingButton=br("Close",M
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)]),yn=!1,wn&&vn?(n(Vt)M
,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.visual.lifeCycle,Ct=M
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.$nextStateTimestamp=vr(new Date(on)),wiM
ndow.$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);for(let e=0;e<Ie.lengM
th;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(0)}Me=M
[];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=map(BeM
,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+we/2+ae/2,height/2-(M
n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wtM
=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$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.$rebirthCount=sn,windoM
w.$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,r=min(Ie[e].length-M
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.push([t,rM
])}}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++,un=0);for(let e=0;M
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.strokeWeight(Ne),We.backgrM
ound(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),Ke.background(255),KM
e.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();bn&&(Ut.updateAge(M
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(Le[e][o][0],Le[e][M
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=25*le;for(let e=ht/M
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),1==me&&(e>=0&&e<2M
0?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+"% confident that I'm rM
ight!",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+70*le,80*le,80*le),3M
==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. It
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(BOLD),gr(Ue,width/2-22M
5*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=[],c=[];o.textWidth(dM
)>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.textDescent()+o.textM
Ascent());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-87.5*le,600*le,90*le)M
,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?r="1 Month":"60 WeeM
ks"===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/2-285*le:width/2+10*lM
e,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("UPDATE BITCOIN FULL NODEM
 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.textFont("Trebuchet MM
S"),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++){let n=lerpColor(a,t,eM
/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.strokeStyle=s,a.drawingCM
ontext.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+54*i)/100)}functioM
n 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),a.style("opacity","M
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 ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intM
elligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60M
&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMM
inutes().toString();return 1==o.length&&(o="0"+o),`${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],["1988",5],["1997",5.5]M
,["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",74/14],["Phoenix",M
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_layers,"Max Neurons PM
er 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/v2b4487d741ca48dcbadcaf954e159fc6168079995099M
6" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b5f4fa05a92a232","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script>
((((((((((((((((((((((((((((((((((((((((((((((((((
text/plain;charset=utf-8
)Optimized with https://ezgif.com/optimize
((((((((((((((((((((((((((((((((((((((((((((((((((
Aj?=:ETH.ETH:0x94fe95215fD959D25971870d392221B0CB44fFBA:4326143::0
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
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
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
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
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
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
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
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
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
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
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
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}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
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
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
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
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
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
{"type":"btcdomain","name":"0024.btc","first_owner":"bc1pc4hjlamveax5sr5vsw52tfqp8jm6y2cxxmrhwmhdz3c885ylqqtsy0vsqu","createDate":1681182575733,"registerDate":1681182575733,"expireDate":1712718575733,"img_url":"https://btcdomains.io/images/domain/0024.jpeg","sig":"3045022100c0ff6dd78dd87f8b3f7b1acad2099b73785f224ea380036fae927770aa74dd410220205dca12a127a4586ee8f754817d7afc0e721b7ae63c995a7212361cadc35e05"}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
{"type":"btcdomain","name":"0028.btc","first_owner":"bc1peqty7eg5u5x9uyysusvjd5j3yfqea6l65rqcd33t276khr4k4jmqjhqqpw","createDate":1681182793593,"registerDate":1681182793593,"expireDate":1712718793593,"img_url":"https://btcdomains.io/images/domain/0028.jpeg","sig":"3045022100b01bff4a35e05d89f11633c071cb29ffb9cd7353d73e18449dd0a725d4a81fca022076dea269b66c69fea07e8d3734820cbababa5465aaf30e62a841ea222138b818"}h!
text/plain;charset=utf-8
{"type":"btcdomain","name":"0027.btc","first_owner":"bc1pna2qdjdamfg8xp3vmdv7ydnv3ud6vykym3mz2d9wek0x6d9j4njsq0vunj","createDate":1681182736995,"registerDate":1681182736995,"expireDate":1712718736995,"img_url":"https://btcdomains.io/images/domain/0027.jpeg","sig":"3045022100ff66113631d2fe709e0b6c43943a985a77f3e18185cedb110c72ad8632c7444b0220741e23a62f81cee787c7e480b1e0d80d23b0aa4bdcd22e29c681026f5887c1d4"}h!
text/plain;charset=utf-8
{"type":"btcdomain","name":"0029.btc","first_owner":"bc1pacpezy0yr86hhc8dlghwumaqyjegqtqx5am9ryzan3n8lfa0mr3qhfy86a","createDate":1681182834088,"registerDate":1681182834088,"expireDate":1712718834088,"img_url":"https://btcdomains.io/images/domain/0029.jpeg","sig":"3045022100e1e62985e5cfcc7fd8fd3cc214efdc50c794fd6647d1ddde9bb875c9f4e14bbd022003fe4a99de64d5a2cd1f80bc463fca21d87d30376d538434a6dbd0eb15fe375b"}h!
text/plain;charset=utf-8
{"type":"btcdomain","name":"0026.btc","first_owner":"bc1pjx2yr3pfl4raf8u9pj27ctf3ml63gnvpkzkmse2y7ayzq3j669asun7rwc","createDate":1681182670726,"registerDate":1681182670726,"expireDate":1712718670726,"img_url":"https://btcdomains.io/images/domain/0026.jpeg","sig":"3045022100dcd6a459f3f42c8d529f89275b2cc99a86e2bca230297a2c193591153ed2b2d602200e7744f908255666e7dcb2816e5bab3af6fd554d5ee602926020f4bc7169c6bf"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"TECH","amt":"2"}h!
01234567890123456789
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/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":"1123.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"1112.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"2223.unisat"}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
{"type":"btcdomain","name":"uniqlo.btc","first_owner":"bc1puca5pykx8smafuh4qvwa68pe3fukfwsggdcs4ssdpu756zm9tclsqx765q","createDate":1681125547461,"registerDate":1681125547461,"expireDate":1712661547461,"img_url":"https://btcdomains.io/images/domain/uniqlo.jpeg","sig":"3045022100841b1c2ace91ff3dee3b63f9e78d420037de6a2cb4913bc72c222a6ed5a1f80502202f7feb79e5a27a6fd79416c8d7d1da51ad2a2fa80f78bef35a64e069ca548e26"}h!
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">
    box-sizing: border-box
  @-webkit-keyframes pulse {
      box-shadow: 0 0 0 45px rgba(232, 76, 61, 0);
  @-moz-keyframes pulse {
      box-shadow: 0 0 0 45px rgba(232, 76, 61, 0);
  @-ms-keyframes pulse {
      box-shadow: 0 0 0 45px rgba(232, 76, 61, 0);
  @keyframes pulse {
      box-shadow: 0 0 0 45px rgbaM
  @keyframes gradient {
      background-position: 0% 50%;
      background-position: 100% 50%;
      background-position: 0% 50%;
    align-items: center;
    justify-content: center;
    margin-bottom: 25px !important;
    align-items: center;
    justify-content: center;
    margin-top: 20px !important;
    margin-bottom: 0 !important
<div class="wrap" style=" width: 100%;height: 100vh;padding: 5vw;margin: 0 auto ;background: linear-gradient(-45deg, #ee7752, #e73c7e, #23a6d5, #23d5ab); background-size: 200% 200%; animation: gradient 15s ease infinite;">
  <div class="inner">
    <div class="pulse-button" style="position: relative; width: 30vw; height: 30vw; margin: 0 auto; box-shadow: 0 0 0 0 rgba(247, 247, 247, 0.7); border-radius: 50%; background-color: #fffdf8; font-size: 12vw; text-align: center; -webkiM
t-animation: pulse 1.25s infinite cubic-bezier(0.66, 0, 0, 1); -moz-animation: pulse 1.25s infinite cubic-bezier(0.66, 0, 0, 1); -ms-animation: pulse 1.25s infinite cubic-bezier(0.66, 0, 0, 1); animation: pulse 1.25s infinite cubic-bezier(0.66, 0, 0, 1); "><svg style=" width: 15vw;     height: 15vw;" enable-background="new 0 0 21.6 21.6" version="1.1" viewBox="0 0 21.6 21.6" xml:space="preserve" xmlns="http://www.w3.org/2000/svg">
      <path style="fill:#F6C42E;" d="m0 19.4c0.1-0.2 0.2-0.3 0.3-0.4 0.5-0.5 1-1 1.5-M
1.4 0.2-0.2 0.1-0.2 0-0.4l-1.3-1.3c-0.3-0.3-0.3-0.7 0-1l1.3-1.3c0.3-0.3 0.7-0.3 1 0 0.4 0.4 0.8 0.9 1.3 1.4 0.1 0.1 0.2 0.1 0.2 0l0.6-0.6c0.1-0.1 0.1-0.2 0-0.3l-2.2-2.2c-0.4-0.4-0.4-0.7 0-1.1 0.5-0.4 0.9-0.8 1.3-1.2 0.3-0.3 0.7-0.3 1 0l2.2 2.2c0.1 0.1 0.2 0.1 0.3 0l3.7-3.7c0.5 0.2 1.1 0.5 1.6 0.6 0 0.1-0.1 0.2-0.2 0.2l-11.8 11.8c-0.3-0.3-0.7-0.6-0.9-1l0.1-0.3z" />
      <path style="fill:#F99D00;" d="m0.9 20.7 11.8-11.8c0.1-0.1 0.2-0.1 0.2-0.2h0.1c0.1 0.6 0.3 1.2 0.5 1.7-1.8 1.9-3.7 3.7-5.5 5.6l-5.2 5.2c-0.2 0.2-0.M
3 0.3-0.5 0.4h-0.4c-0.5-0.2-0.7-0.6-1-0.9z" />
      <path style="fill:#F6C42E;" d="m20.7 6.5c1-1.3 1.2-3.1 0.3-4.5-0.2-0.3-0.4-0.6-0.7-0.8 0-0.1-0.1-0.1-0.1-0.1-0.7-0.6-1.5-1-2.4-1-1 0-2 0.3-2.8 0.9-0.1 0.1-0.2 0.1-0.4 0.1-1.1-0.4-2.2-0.4-3.2 0.2-1.6 0.9-2.3 2.2-2.1 4 0.1 1 0.6 1.8 1.3 2.5l0.6 0.3c0.5 0.2 1.1 0.5 1.6 0.6h0.1c0.1 0.6 0.3 1.2 0.5 1.7 0.1 0 0.1 0.1 0.1 0.1 1 1.4 2.4 2 4.1 1.7 2.4-0.4 3.8-3 2.9-5.3 0-0.2 0-0.3 0.2-0.4zm-3 0c0 0.1-0.1 0.1-0.1 0.2-0.7 0.8-1.9 0.9-2.7 0.2l-0.1-0.1c-0.1 0-0.1 0-0.1 0.1l0.M
1-0.1c-0.6-0.6-0.7-1.4-0.4-2.2 0.5-1.2 2.1-1.4 3.1-0.5 0.7 0.8 0.7 1.7 0.2 2.4z" />
  <div align="center" style=" padding:5px; color:#ffffff; font-size:8vw; font-family: Arial, sans-serif; padding-top:20px;">You've got a<br />
    <font style="font-size: 12vw;">GOLDEN KEY</font>
    <p class="link">
      <a href="https://generative.xyz" target="_blank">generative.xyz</a>
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
Mined by AntPool906{
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"intel.unisat"}h!
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"lixiang.unisat"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"disney.unisat"}h!
Bj@=:BNB.BNB:bnb1mhrc4z2ekqlkvp37q649lfpv37r9prh87lrzr4:35433574::0
EjC=:ETH.ETH:0x8c88621166E1eF5C2f468Cf7E3613933C33C5779:377530248:te:0
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!
FjDOUT:28B6E72B7C917D19868E22010A045B438560B11205B1214F73C14ADCD1E4ECF0
text/plain;charset=utf-8
text/plain;charset=utf-8
.{"p":"sns","op":"reg","name":"fuckcex.unisat"}h!
FjDOUT:3C6096AE99B9D735E8BCA6A26513DFE251CCF39FCC90775E676ACDE88A236BDA
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
text/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":"9988.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9977.unisat"}h!
text/plain;charset=utf-8
{"type":"btcdomain","name":"0030.btc","first_owner":"bc1ppv5pr90e4u9uxcqgrpzpuly7duetkhezpu7nx9hpfvjr84nnulhq04y28j","createDate":1681182886767,"registerDate":1681182886767,"expireDate":1712718886767,"img_url":"https://btcdomains.io/images/domain/0030.jpeg","sig":"3044022043f493a0fb350a5b31c4b1dc9b9eba32cfd2554d72cb3f926c3d9a858183950002204fcda1d4f281762c57df610178340aa5696851cfecda0c9a546ee7a64e02f345"}h!
text/plain;charset=utf-8
{"type":"btcdomain","name":"0032.btc","first_owner":"bc1pw5epranaah3ww657lfcm597jvh0ylxnc5nh05jgrc3k9cwwmvpgqy5ync0","createDate":1681182974963,"registerDate":1681182974963,"expireDate":1712718974963,"img_url":"https://btcdomains.io/images/domain/0032.jpeg","sig":"304402207b135c81d3f23021d0095bd0375a0162bfde0509c2080194f664721e6c27d82c0220415920f6b3ae35acdcda5da8e145bc31f0a25d5d88ae680d2744a2eb14cf5e5d"}h!
text/plain;charset=utf-8
{"type":"btcdomain","name":"0031.btc","first_owner":"bc1pzg92exhzet6udad44mx29p0vg4rqrygwdg9cnpzlwj9p9ecda7yse8z84d","createDate":1681182945246,"registerDate":1681182945246,"expireDate":1712718945246,"img_url":"https://btcdomains.io/images/domain/0031.jpeg","sig":"3045022100e5649ee103b8ffa0bcd6c94ae3ea6261f31dca93a61536edb87114e231291a02022001c6a2ca9936f4340fccf81ac565bdab34b5a7cf18de76fb11a377d9283d7a8f"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}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
*{"p":"sns","op":"reg","name":"66604.sats"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"66642.sats"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"66674.sats"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"99914.sats"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"66648.sats"}h!
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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!
Bj@9555c5aa9fe7da98acc9425044451fb946141670e337bab42a6cdfd5aa3eb25a
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"badman.sats"}h!
text/plain;charset=utf-8
3{"p":"sns","op":"reg","name":"unisatwallet.unisat"}h!
Aj?=:ETH.ETH:0x34b4137FE8E13B47CBfcE70C6CDC2e1A4A4FA2De:7610665::0
Bj@=:ETH.ETH:0x405c0998dDFC14d896B93Ac6F3d9b8066Db689C7:44809782::0
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"4434.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5505.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5595.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"4494.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"4484.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"4744.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5525.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5155.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"4844.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5565.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"4404.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"4414.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5455.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"4424.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5535.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"4464.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5355.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5585.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5515.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5055.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"4454.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"4944.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"4474.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5575.unisat"}h!
LjJ=:BNB.BUSD-BD1:bnb1lldxh2ajts4mly0n8ttcx4ysgspr0msk2ua58m:26975352289:te:0
DjB=:ETH.ETH:0xdE10049cC62b50d2ffb2619979dB5a0152d75841:17520086:te:0
LjJ=:BNB.BUSD-BD1:bnb1e2y86czg3l5lr9msdhzxylcfzk46pdd9w3euv4:14712399709:te:0
DjBfdjlksajfld2389058493
(86989438594!*^&%^$%
4d/Foundry USA Pool #dropgold/
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
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"sato","amt":"1337"}h!
*j(fdjlksajfld238905849386989438594!*^&%^$%
text/plain;charset=utf-8
3{"p":"sns","op":"reg","name":"knightsofdegen.sats"}h!
text/plain;charset=utf-8
6{"p":"sns","op":"reg","name":"generativedungeon.sats"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"oats","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"oats","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"oats","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"oats","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"oats","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"oats","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"oats","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"oats","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"oats","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"oats","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"oats","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"oats","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"oats","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"oats","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"oats","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"oats","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"oats","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"oats","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"oats","amt":"1337"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"oats","amt":"1337"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"kod.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"eugs.unisat"}h!
text/plain;charset=utf-8
8{"p":"sns","op":"reg","name":"generativedungeon.unisat"}h!
text/plain;charset=utf-8
0{"p":"sns","op":"reg","name":"perceptrons.sats"}h!
text/plain;charset=utf-8
@{"p":"sns","op":"reg","name":"forgottenruneswizardscult.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"mj23.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"jpow.unisat"}h!
text/plain;charset=utf-8
3{"p":"sns","op":"reg","name":"ordinalnouns.unisat"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"boiler.unisat"}h!
text/plain;charset=utf-8
2{"p":"sns","op":"reg","name":"peterschiff.unisat"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"kraken.unisat"}h!
text/plain;charset=utf-8
8{"p":"sns","op":"reg","name":"bitcoincoordinals.unisat"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"nouns.unisat"}h!
text/plain;charset=utf-8
5{"p":"sns","op":"reg","name":"knightsofdegen.unisat"}h!
text/plain;charset=utf-8
text/plain;charset=utf-8
2{"p":"sns","op":"reg","name":"boilertribe.unisat"}h!
text/plain;charset=utf-8
9{"p":"sns","op":"reg","name":"bitcoindoordidates.unisat"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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
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
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
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
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
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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
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
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
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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
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
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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
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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
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
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
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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
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
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
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
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
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
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
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
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
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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
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
+{"p":"sns","op":"reg","name":"6321.unisat"}h!
text/plain;charset=utf-8
{"type":"btcdomain","name":"didhub.btc","first_owner":"bc1p0w0pe79sk3txx3lrp3wx42zdssykhhrvyq4f64js5af798cj94wqvu4rdx","createDate":1681184192682,"registerDate":1681184192682,"expireDate":1712720192682,"img_url":"https://btcdomains.io/images/domain/didhub.jpeg","sig":"3044022066294890d675d4cf9b16951d871a81e8f358fca6e17768ae49e4941f975e46ab022064fb6cd7c64e15719c9ce6a37eeee00cc8227b06ec6073e8ad06accd9096f787"}h!
text/plain;charset=utf-8
{"type":"btcdomain","name":"draperdragon.btc","first_owner":"bc1p4zsfeudla9267z9jw9mmkpypjxzpck4ngng64wsnr909mwrhzmgswcgr20","createDate":1681183644709,"registerDate":1681183644709,"expireDate":1712719644709,"img_url":"https://btcdomains.io/images/domain/draperdragon.jpeg","sig":"304402205b466d120febb9196a341d37dd9186d1fef5149913b3b8cc447e0004baacea18022013d7be501cfc7204e39464ea303c0863dab4add3261a7584b21f15f4ab38e6a3"}h!
text/plain;charset=utf-8
,{"p":"sns","op":"reg","name":"51888.unisat"}h!
text/plain;charset=utf-8
{"type":"btcdomain","name":"hpool.btc","first_owner":"bc1pvzx3wcg9cahzfqzvkq223f4f0q53q49hh8xrk65rd8ddv697zvsqmt8hsm","createDate":1681183962685,"registerDate":1681183962685,"expireDate":1712719962685,"img_url":"https://btcdomains.io/images/domain/hpool.jpeg","sig":"3045022100857ad6efb7f5e8e1b3059f99fbd579e9433d8e4bede598102275a0e5e09602d002206d08bab31abe4264137750822274115a32ba114c679f78d5bef76de8834e655a"}h!
text/plain;charset=utf-8
{"type":"btcdomain","name":"alex.btc","first_owner":"bc1pcqduuu4fvmp3052mu2zyx4nuh8vwc4pa49uylpr50tdn3pvxqp5q7njqv2","createDate":1681184001671,"registerDate":1681184001671,"expireDate":1712720001671,"img_url":"https://btcdomains.io/images/domain/alex.jpeg","sig":"3045022100a51da5d809cb6bdf635723fe7e4e0634d60a81ba67c7f94c706468326701b2990220371fa8994c86d14e35a548479427b3f130de9b7bbec49384c77d22b9ddcb0759"}h!
text/plain;charset=utf-8
{"type":"btcdomain","name":"dong.btc","first_owner":"bc1pars7dzs3sfqg034whh74v4j6829jlvt089yuas4r7u3nnrxdxe7qk62lmx","createDate":1681183748693,"registerDate":1681183748693,"expireDate":1712719748693,"img_url":"https://btcdomains.io/images/domain/dong.jpeg","sig":"3045022100d358328576938fb150d6dd3acbfa620a9bdaca35be8bc9954290b152cf6aed4d02202dae1ac06694b53fad1dc987e71695ced18c40f31837e4d4bb8997d01f091c6e"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"168168.unisat"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"101010.unisat"}h!
text/plain;charset=utf-8
*{"p":"sns","op":"reg","name":"xen.unisat"}h!
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"WILD","amt":"1"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"WILD","amt":"1"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"WILD","amt":"1"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"WILD","amt":"1"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"WILD","amt":"1"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"WILD","amt":"1"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"WILD","amt":"1"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"WILD","amt":"1"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"WILD","amt":"1"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"WILD","amt":"1"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"WILD","amt":"1"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"WILD","amt":"1"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"WILD","amt":"1"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"WILD","amt":"1"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"WILD","amt":"1"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"WILD","amt":"1"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"WILD","amt":"1"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"WILD","amt":"1"}h!
text/plain;charset=utf-8
2{"p":"brc-20","op":"mint","tick":"WILD","amt":"1"}h!
FjDOUT:75E42C7ADDF3A0E2B9C5D01775706B9139C634A18A01C0E535A78EAAD5B90D8D
text/plain;charset=utf-8
text/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":"1388.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"1588.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5088.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7588.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5688.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7088.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7188.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9388.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5188.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"1788.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6288.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7688.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7388.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5288.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6988.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7288.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9088.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"7988.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5988.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6088.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5788.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6388.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"6188.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"5388.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9188.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9288.unisat"}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/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_120", "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": 7, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "tanh"}}, {"class_name": "Dense", "config": {M
"units": 3, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "6NLKPURizjzNXa68k0yoO2uXzjrGOPI8TNDTvJXHHrzxr3C9M78KPUzLYbzMk7y8QAUdPFgqNrx/p1Q8HKlCu+5uKj2XKMi7BRghvAHILL0swdM9pnRjPOQ+HzwRJoC9WcXavCSS67xIBCy9bHGoPNLGgr0LDTm9ZJiUvBV4tbyLmxe8wkpevc41pD38Mja8q+8/ORlPej3Ri/c7s4A8uk/dlr0p/oY9XBniPcG0T7zauBs9zu3ZvMm49LyM
V7lC8d2T0POF9cr2itC+9StlmPX5XjrxJf8e8d7UQPMnnPT2hF8i85xGNO9WSZDzmBty8FhIvve/oGL3a4gc9V5OnPdj2ST2NJEe9t8J9uyOXlLyNVao970msO/42W70NLum8OvSPPa94s7witLI8AkGgPTTZjT19OpC8s5KzPBWvET2jDQA9k6YDvWBfS7wk8789Gxr8PbinRD2YfrY8gV3zPOh2o7p94ZU999ODPOMBpr3g1o29B0tKPec+Pj2Kb8y8MlGXPRdtVj1dlu+8VVeMPB5eFj0bgxs9ol1WPKHXnbwHdAA877zwPS2IqjtKgBc8D4lVPPS6OLxcESc9eLAiPc9qnr2Ef5S9p6uDPVEJjTsH2Ys8qBrSPPy6sT1/Nsw7VzRzuwTpoj1NGUK8SqIvvbOLk7vBMeI7/WeHPVk0krz+mqG8DGikvTtkDLzArrG7SWQQvai9hjqIlbq9WF96PBgukzwnkNs7AnajPRKarjoujj08fgnzvOOIG7zZuyO8PYOM
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
LzPY7PE6cOseuLb3zyRo8VdKBvQsK9rwK+4C7K88/PLpYBbwQExU8VTk6PKnPdD39m0G8zxeoPMltHz2GygE7y8nUvAjSBj3VY/M8biWuPe8vXD3TWTc9l4QJvY0bEzyhJHU8YC8rPBOBkL0Ox2K9HaROPfTZ3DygydI8bbORPXfcsT1VFDG9mp3iO0nJmj0EhTY9Ah/5vLHb3zxtrZs9hCu2PTGvYT38u887ct0MPHvbojpL6p4997MUPOxWtrydvtK91zYXPZUSfbxsKh48wZMbPSk02TzB3Go85KaavcBZNT1uAoY8pL2VO65AaDtnx9o82ULCPfkuyrzrAlE9V1ucvdcKNbuXaKQ9ktJDvE7En71zgv69HaG/PV7Clr2HhjY82UfIPeykFj0jfAA9CeK/vfpFez1BIfG8DhLSvT47qj0+Pxw9Z2T4PVDrijqmIks8c6mpvY2jzbw+eMg8mOWyueSFITwZfQ6+3AM9PYkAtbzHIeK8kFygPaC81z0BmpA9k2DM
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
MPFpwdL2v2Ds9X5EKPTa/ij1ShUU93CkbvWC1Sj1QvJc8TidJPHuJR7wioxQ9WX+mPXP6kjvDVCM9LXJaOgzCzDwVtS09bTySvHLG1L2hLpa9ZcqCPVMPYz25tyU9//99PdFcvDwmJRM9uDwzPYWLaz26EJI7G0ohOpVfhLzI3Ik9YYtwPbOVZTvOP+U8d89ePXDesjx4Lp28OqiTO/ZoRb2gpEG9oHkLPV9CczxNrEu8VsQZvH6dLDzK2Jg8lG0rPclPST0jV4M8e//1Ot0FCbtSgE49Xh8dPbh+lTzW3Os8ooODPUhsrLy1/w09QHjIN7JAcDwDwx29nOITPTopEbuv7cq7YegAvcNxjD3gWPs7OYwnvVEv2Dzb8Wq7dfg8PZNtjDzyjKA9AkC6PX30DD0Rnd68zrUCPTFSCj0XNlS9F7++Pc5yUr11bFu87x1APfbgrDybVxM9R9xQvL7t2jxj6ia9nwU1vOzuwj3yVem8Y+i8PBeXPDsT+8k8BIRhPZwapT0M
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
JvQvQfL3Lu8s82fyJu4KA4jyo3mU9hiqEPG4+vDzksjy9HVdwPK7BTrxPKmA9kuMPO94qmTwv2io9ICr7O+H5y7seuiG8/aNEPXm4HL0lSbo8XV81vfqfvLyUbyG9QT66PCP82TvfEqA99SkIvSMyNLx695G9jYljPB1lMD3C0v85hI8XvIqFC7x3vW89mFAsPb7Ac7zMKkc9075CPfWNS7yYlAE9fQm4PJgQRb2KWwK9glOHPZ16pjwsu4I96klRuo10bz39od+8B2ezPItcnTz5Qwe8j/LzPNBnML0da1g9OsRaPDXI8Dx8EoW8mWbFu6eQhD3NuA49DsLqO7C9qr1c5YM8oyGGPGqVhbscB7w9Fl4gvDkA2brrrKy9n2cau+CUBjyI1zC90H9lO4+Aj704okQ8DHs2u0rFhD0R6FE7CIf0vHfePj2mZea8Nk/0u42XUTtms5g6++TpvE/ySL3F1B88B8qbPcWmLD1CYxC9fz99PNhcsT0qKhm9cL8ZPNwQq7zM
v7D+9ymQbPdEAFTwV5Za8vcykPOSQXruI7cg8hWGzPcougjz8Awy8IrMVPQLbmr2K+Ge7Z1IlPQwN77xSfQ69uqxKPQFfgT1SRxE96ZWyuxRGh70TJ1e8ZBI0vXInKb0GeKi9vUI0vYFxMTmK+ag8D91iPZGEvr0sF9C8KxSsOwfwqr1ZSAY9JHnLPdIdjrxYMXO9Rv/fPExdFD35XUi9oQGTvLQ54Lyj3sw7HN8uPaWayjzSFgO9KcGZuWkOBD1Xspo8SUy7vPPcqb3yL7c8dP1UvcX8Yr0dN449CqBAPZfGqDzo0Cy9tsgbPczRxryjww49lN8RPSIWHj1IYyw8KuSWPLZxizyXHAa9DO87uoBIxj1bbjy8KveKPWjHk7zLwcE7iK31vNyiZr0ZvQQ8lmFbPez5tbyZGOK9URUUPU5BLL1gW/m7e6mhPSFJ9jtH8yW9sr4UvSlzw7vrGse8aElZvW/cHT3B0Z29QPZePYxMOb1fxow8wNt/PDKIAb3Se6E7lurM
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
CQRW9ArrrvK0Ztb3WRps8CqaauwsTNLzFwo49PlNZvVC5VTui6pC9hbJhPajOGj0+o3Q9pI/0ukaTjL2MPy47kBNXPQmEhz07yqM74zKSPMXdD715kVy8jJ9ovOVNjL1Aesi8m0YNvAIWPz1Ss6m76QAZupCD17xK5xE8hhX1PDyQYDoZ5aY963WtPNlT3Dx1xgE9tt6MPT4+/Lth0QS9Ys2JvQneXb2dplC8n1M/vfZVZbzuf8W971CTPQn9jLzn3vE8E0zLuwCNgz2lxUg6bsebPHxjOj0A1u48vQmxvUJ/ETqpTY89itK1PdwnsLtW3YQ9ZK8lvYcmtr0Vm0k9IK+TvAYgRLxWeh6+/g3kPUM4Gr1lXYC9gIqDPbt5Rz2VApE8tIK6vPHvnD2Xqh69iu0OvVALCD3+3Xo9tpjOPTkNAjy+0+08YG4kvT1bzr0bRKI7pjUhPZUkojzpEQq+3Y3tPNmvur0e04y7jRzcPSd67T0+aI49eItdvYfBcD1d6e87y9yM
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
stjE9lpeKPcLI7LyNt+y8rCXSu4xNWDz2boy9b6AfPFVxvzzDUK096U6wvaiENT2LddQ7YL+1vIr+JzzCzpu7Pz0YPbmj3r17fh48klfIO99xfroby0E7XuwdPb1rjLukAYW86UTOvFC85bwF/Be9QpE0Pen5TbwNkG89yZqyveoaJb2HrIS9yiE2vYWDW7t2ISU906rKPVZBjb0r2Bi9TAH7uxKq2DyzYim9hZz7vMEFp7tlhs87LG4wOjD4ubwchea9Z95CPcbai7qYm909YxjjvZo7jLyRVtW8wUfAvZysFL3VP468SQQuPp+5D72zXb29D78IvZzT1Lxv9IC8KEE0PbEtYz3DoUo8EQxSvQcrir1w7Dq971YzPIlKIj3Gy209fpG0vYw5WrwlS5O7xKvIvfarmbx5pLG8ICWkPQBz8b06UQu9DhV4vc7z9rwJc1e8N4AXPQ8gLj29zSo8WWmGPPwibL0xpE69EiuFPBkc4rvcLfA9ga0KvbIzx7tAO4i7LlSM
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
fvcG9aLsFpcQ8p1e1vZgmzDzqaWU9KAyzPRvZl72pRqE9aENtOg6SL71CfG497CDSPHh4QbzKCu29uoboPYj+iL3Q9TC9qavMPfUTDj1o+3M9mVbEvDsGpz2VspG9FUA1vQNFBzxffy494co0PlYWcr1qoAE92+WzvcsRgL2sBk89o0z6u44bX7zzqam9ftK9PTvBV72udVG9ZeqPPfkhnT0tHVU8OlEKvd0aUz1Jcw29uOLqvPdHwj2hrYU9TxzIPcc5lLx+MHi8I0gVPB08jzyza2s9YSUQvejtvLsLEIG9Sgm+POw+B72edwm9BG68PT+Nlj1r2xM9vyZjvON7gj2qs6i7ECyIvRsqVj3nV9C706gGPirHDb27u9M8nvqDvd5I6bvVfEg9/dRwPQ6to73snZG9BIPGPejiC7yl4l88aHLXPf0bNz0vtpc9J4nJvQx1AD0Ov0M8LfIpvXpeVT03JQs82B0QPpSHTju/II88EUojvQVlMb2u8eo56WxDvHq8FLxM
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
TPR/qXr2yzcW8vz5JvXGKFL0ynUe8TZlfPZvI9DsYRgO+2Jk1PfQGk737/3O8HFfdvOBwqz2La4471KmQvZtF0T2MWp29kbwVPadINr3UzKk9s2LJPequtbsq5FC9PEM0PXVi3ru4bKa8ZqiTPPKm9DuyOMG9qvoPPXhsfr3MExo9EoF6PfI1Zj1X6bc8NO3evY0tDT15rl680Q0xPUk8UDvqZts87tPcPRAGXL130rm9e8J3PEkpLD2AU1Q9+ZZ2PIa2wzyy3Iu9Dgr2vF6pg7vy2wk7yPMqPZhpBb2tVMs83jc7vbBfOLvb0SS9qTpOPJSdZr0m8xO9IfwRPZJflLy4EU29qJc4vAhk87y9grY9Pheyvb3egz11qxC9BRgtOt6m5bxR1n09xdPYPb/jN72LWrO8g0IlPKJZED2iE+M88njZPALmBTzk/Vu5i44OPR6kSr0prhG9WLbzu0ynsTtg4MU9dXgIvquvXrxAnpu8tMqPvVRkYLx4STC9LM2vPQJScb2M
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
HPeFUyzwEqEk97qKUvBIgezyFieC8ZqEmvB7SIT2omUM9qiALPtjqeL3IXJ49LZt7vbXjor0oZVM9kKm/vP4oir04Ude9RfAMPcaLZL3pWUu90wRNPSVh4z2zBYQ9CjcbveknoTzwco69urF0vTL50jroKpA9V47UPS3WiL0HVKU9G9ZXvaQL9LtPCK89r2WNvGX8kTyzMTO+NnhAPaams7wgfBk7MOGNPUzGyj2FMXQ9K8itvAwsRz1GFjm9jF4+vbUx7TxsZsq672vUPU6/oL2I+xW8Q1x5vZGySrxRPLc9c2AMPbExEb2xGAq+f4XAPXOZKr3mRbY5g/KZPfpLUT3TKDM9uYJfvVqshbxn3Pm8ISDKvReafj1d5SA8BKbyPWydYzuQs4I9SHu5vP6BMb3cuag7IPk6PTBWjL0+aBe+amPHPEgcqbw7vne8F08/PW8Wvzw4g489NSg9vbA9xDzSH8s8EGFEvT7zwDy/HqQ81dnjPUexOLzXtGs9kxq1vALBi71M
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
gKHw9GO4RvSKbNz0QwqQ7E/nqPALuuTz0R828X0BnPZJDFz3C8lY9fgeYPXh3PDzPlCM9yPk1usFQxLxnjVM9Hq2aO5Lj9jvYiy49CL7mPI4Kq7zVFXe7FYeevRu+UTwELZS9lJk5PfPz97v8Vqi9ykravGbFIb3NWgI9WX4OvB4subx/C++8eMbcvMCNWrwzmN+8uhGTPD2jr7ydEUE9T4DsvALvkL3VQqU9eIETvSNynDy33Jm8KAzHvCMd+DwVLIW9ja9XPdkakjxpQoe9fNEWPbguj73H2Q28nuUMvO05mz3Hx/07CDh1veLT2jhQc8s6E4Gguy0E0Dx6n7U9b1/jPMEL+7xCtWq9qnyyPFV37zvHHpk8PDrvvIapLjs9UNK9jVl3PbYWhr0hZ+G7PSJoPI37ZbzYr8a6dJRfvepgHz3ojk88Crw6vRPSFb1+TwI+9v0evJftDL1fP4G946auvf0sIL13fSW61AmPvCx6WL19pa28XMRsPe6eorvjtW69S44M
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
b6Rm8+B5oPYNmAD409pc9icICvX48Sz0Z5vO8xapMvbhu8b0SNKQ9kQi1PWgTMzzHMA+9cEYGvG+/nL3mOYW8wZebPWk1Mr31EEG9CCkTvffINT2Xlb68lju9vM5bK7vK2Qy8UgIvPdJLkDty7LK8IYd1vbakK72JbZ488PQwPQb5mj1JEYq9TxUvPatQVT0xbd08Fi2LO+vpjb3q04g98MHJvUs4GD2/AMk9vecqvH9JlbyNlIW9QWAUPbfZmb0o44K87juPPS0KBL1YwjU9ffCVPVDrDz3fFca9htMyvJy8ij2skxe9VsibvPm4Y70xFPK8j3c8vanpp7wuqk89HmlsPEWIFzyoFho8ViIXPaGRJTt1yac8NjIhO8yxIbxOqQa5WOXqPeNbWbzyEyi8fREiPFu8j7030gU9FdCSPLKENbztSs29W38qPcHrN7w7H4O6M2gDvVZu2z27L+Y8ttmZvfC+pjqUgbS9C/cLvHgEnr215g09PsukPQ4yor3jy0k9TUEM
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
zhj69m5/SveoraT1UBZC6wsuXPagakb1uep89l9KAvdW0yL1qZUO8mXXavPTPU70coIu89NOVPXxebrxOTa08HhuGPRQ8F73BQwI9jlqXvAM2gb2eLTm9CMKTvbqeuzyL3q488u58PX34Jz2A1Ba9cCasvAX2/LwaecA9yAbXPOuQ2jz/XGs8VAcwPVc9TD0fl6+91HnNu7XWXDxV0wW8bzJxvb/y2L0ubIw9aqmLvU8JBT1qvtE8ZWwfPShwGzzx3Qm9e5oIPVe6tbyKcKO7OVSTOp9ZCzrbDM88p6RuPT+3Azzqtiu9fPzxO1D4lzprPoS8LTzBvdPGs71OTSI96Q8pPJFuCb33pKM9WqWMvXAM0rxgwLS9OXtrPSB0Ujziax28gd6ePZrrmbpZQg293MMGPnBmEj1eMZO9XzU8ve610rzUq1q9axb9vKwzQL3C+5691kknPYKO4jsMRDQ9sAPpvHvTqT27dTy9/hkevWijSr3lpEy9EzrluuDygr02SN48a0YM
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
vFwa9WH6oO4CFmrw5foI9olyoPeWb9TznJra8ZcsHPqTzabxBtJw9cCgiO+8YKj0A6c29eBWjPdgoLj6F4Ee9I8z3OxV06z1/n7k9Y2oavurQVD2WnPQ9jag0veTlmz0gjFI941TFvW4B7D3/LUe8aNqGvSc3Rz3gQou9CCOWvRnCAb7OYrE8wyawOzYn0r3Un+U91CUOvj8sTTy2UIO9+TpuPau5v7yFRlG9aaGCPYlZ3r27GaA9fAl4vlEjET57ySs8n61tvpmVBD4JN++9BgL7vRKoe74QsB4+2RADvrSna767joE+2dsmvpluu7xi3DW+gK0bPuLqE73JtlC+V8s/Ps1/Q756ddC8Md95vkkCpT36w9a84FOXvnRdDj6c3/u9T6levSkoSr7SrQ8+p6LMvR7/Hb77N2Q+B8Ncvvcpv71Z2D2+p/RUPmqOqr22lBK+9e9gPhfwPb4NRyk87Xx+vefeury+m1w9LIH9vc3PZD2N64e8BTzovD89072Trr89jFYM
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
ccUu+nmS/Pa5ZjD1+/HA9AwWEvdSOmj1SD4g9BDccvvjT0Dw3YMs9Y9YMPA7Rw71G58M9iWYmvNgnkb30BSy9ewepPTE9+7zbhMg8MS2vPXFscr38BXS8rO+4vNVPyD0ccVW88Ef7vZEMQD5kqH+9h+wwPfJRar3kq+c9M9Y/vRRd2L0pLes9aq/dvU9q5z2QFqe9+a9gPXXdiL0upRc9dZ2hPfx7tL01igM+HnsJvnMe3z2zoDC+8raCvSWS3zsdtDq+jDghPkbuCD3zeCA++S9XvrzqKjvLD6c88PZpvqVwfj4GlvE7ToSaO307hr3epRU+O2UBvk56/71n//88b6BEO7KE1buu/yC+4vEEPd08Dr7GK7G9AgGDPQ0BCD7+YSk9vXs1vt5WmjrjyS6+jawCvtdTAj42boE9vyQ5PAtyXL2nUwk+vOnuPAgfwrxvRZy8A6vvvALDyrx2nxG+r3fRPQZior3Yk3W9WORvvfY5oT35FNE6DhwWvYSosrvgctO8xEmM
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
COyjQIjwzvzy9abGCPddpBr15Bn688WAJvYiSkDwV7Iy9T9MLPaPz/DwHwmy8ofhWPXlKs7yhk6A9vQ6yPPSd87xd7I88ZM7/PANJCj1hFJE83DlSPZmJvrzOEJ29ceGPvPPHXr3PGQg9uLK9vWBfHT1xZLq9YwIYvS1DtLw+XXS9ZGSyPUPqeL208vI6L09kvH9bjbxCXa+8mRlPvVxGuD1vc/a8OTeRPcTlrzxWENe8CoXKO9PwHj31gdo9m3MLvUc3m7kv+3e9JbAQveam9jvNKEi8zQG+PaLFw72MkS29de6tPeEPn72lVIY8Kr+8vMVOkTxyg7y9/jq7PV8Akj3oTbG9DUE4PdY8jz2dSDO8/Pqku51bXLx5WHk9JAksvYJKPjzSikY9ueGsvAOyBzxfi0a93AUUPUKz1zyKiyA9MFESPMg+Tjutlgy8AYBrPXgE3j1nTma9UoCBPBlcqDxGOZG9o22zPC6nMzvYzg09hrdIva/WGz3mGKU91vAvvezue7zM
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
/wJi7AeM6veWsDTyToVC9N2WaO8BdK71Qtr05+RsQvbl3gzwV2y09sozCvXXXnL0Mv4O9ukmnPMPqSjziv3U95232PJ9O4rvGYxa9UNYZPO1BbTwn7k69vncsvFWLL72cwac8L8gbPfUYTr32jwE81WfgvPuRHj1U2Vs7lNVZuw5dnbtMuLk6Z+dLPDZAnr1hbES908nwPPiSQj1UkxS84BiCPPQcfj2BkJM7wVSWvVsdXb3e/jq8sDi+OtOjO72gC7Q9Y1pmvEhtrbyOoyA9z0RVvZUTtrx6RHa9JCz9PFC+0btCso280ouVPKK2R7z5Tjs7wDlMPeihyT0k8w09uVRpvb7meblUqTw81O9ZPVNNoTruQSw9xkmAvRut7byqbJg9UmogvEBIgTy14Zm9ritRPadWvjs6ACg67J5CPcCcMDwCJxI9xLxEuxDIcT2TgXu7Kx7UPFBfHLy6YzW9uXPiOz/xTr37rMC7BpFKvP6xAjzuC5g9hZSfvP5O5jwYI1y9H/VM
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
8qAW+F78UPAD+ibuR4gu9EuZzvR+6bj3JcrU7jM74vIRtIb1bcPY7p0S4O655ALwa+Wk9MOaRvF0tmb25w0O5fOevPDIZfTs8S3g7wA5qO69UNz02kmW9u29APSK0RbuOKnE9gTQAu9+PFTobYVM9fH6SvD9AK7zMSyU98UyGvRq8cbwwV/Y93q4Su4cR871uJh+9pXsnPdNSOb1JM3g8a5fKPVDUDb127s29o6aRPAWUCb0TdzW9Mye2PF1FF714mDk94TsLvVcBvzwzGH28WPjDvWJ7Kz0ZcqE80FCCPbCnGb5i6FU8+wCDPLnZyrz1l8Q7fhIOvOAgxDyN1dK9dFVAPRTK7jl0N4s8g+9RvcS+XbzDWQ0+IXuEvY6mJ70wqz+97FyovcYspjxgbxY9ADauPTTQ/71XxpK9qyRfPCWfi70rZR88EG2ePLpl5T2xqhO+flenPVj1GL2qO4m8xi75vNbMmr3xBq090gRYvJlnsbxLMKm82PN3vYmn1ryPTKa840sM
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
tvTpi0jukNRy8ODVVPCtW5btt69e8PDNEPKKa6byu7xy9YY+WPYqa1TqUcxm9qY6CPct+AjxlJY06WMlEvVp89zxexK88G4EwvceAfj2p5gA9UbfQuyh8p715pU47Ec6qPaXNHryN3wA9OEvkPFulRbz63ZS9KCyjPUdRGrzXqrS9jNbyPKjBKz1O07s8OIRTvYzZSj1U3kQ8D2UcvcH81j2zOUo9C9AoPNQSF76gKxu9g2ftu0CSEr2qhrA9N4xzvdLVSj1odo+9ereaPY/YJLwGc229NrZ7PR6BkDvQdYs6by6RPNcJXj3Dz7M88odTPFNf0z0cNjI9p6H9vNMwBr3d9mc8LZ9fPX89t7yzpJg9uIDIO1AFKr12nhK8Tz51PYAQzjtZatC8iYgIu3TpKj06sE+8Y5jfPD2r2jwJFUI8+hcXvRCQmD09BWa8sKASPLQhAb01xZm8fkNePdwhDTuGStY9MMkjPa9NKL3SbVO5dcnVPUvNGD3RU6I9+BpiPc7vrDzM
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
WPaO72r7ubVO9q4ZTv9dnxz6vqOm+hInbvVI0eL1m2CW/31ISPWc5w770uhO/LjoxPqj+ej4h4Nq8H9w7vhoDsb7fwcs9UtCIvfrXML8bNYy+OhwbPyKPQz/hcvU908h+Ps1C4D7N1vk+NN6hvoQpB78/ay4+r1lCPMJ9QD5ahgA/LVETv0//Hb9cyKw+3cjOPYSdATxqEZk8a6TOPYou6LwuE1q+sreVvTngWT/Qr4i+ZrYxPN4jQz/wkEu/DJuZPmaHsz4VzvK+8E40vToxR7wJFy6+OlrNvsQtHb898RE/u4FKvp9Zi75haT+/y4zIvkTrDT5rY6Y+ON1uPZpkO799FEE/bFE5uynls75oiCk+yhAdPoZmLD5WhuO9Ui2ZPNWtFD7S/2U9mNiyvmzyEb8hCAU/gZvcveIXJL+Ntx8/ZOINv6buRL8BLpq+0CNovtuEDT9Gjfc+8DYuv9qeU7zJeUG/wrLyvt1EJD+cdB4/LKZPv0w3ZD9Zza2++zO/vSefBb/M
VY4q9iqCZveVzzT1OXTO+8Koqvnyxtbt8ZqG+3h0nP7fNT78Wu+S+r9aPPeO5Nz/YKBW/jO+GPoJwhb6LOvu9KL3KvnqIUL9rqS0/LGVVP/9McT8yHXo/5kkBP5Yi7D71k26/3mNPPvPVvT5WoeA+RF3DvpenTD5ow/m914kivsrTGL70z6A9hBoVPppGBj/nF3Q/0UAoP1n6ET+KxYk/nt0hPRBPVL/Dn4E+WmeIPycnjD/A8xE+/xYqv+Ikob4Vh1a9Xqhrv7hGET2vbYa9wKtTvhvSk7+wVkY/pzmAPSk6Xz8vt5E/m4RFP2i4IL70d029Mx2+PmoWuz9z1/M/glSovuFgirzle8g9P80GwPbXnb+TWwVA+uTKPxTm6b+DnO0/n9cMQH6IyL+GmLW+y4q+PuLOFb4zz7Q9", "training_traits": {"structure_gen": "Triangle", "n_layers": 9, "max_nodes": 7, "activation_funcM
": "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.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.lifeCycM
le))[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,50,y,0,M
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{totalNeurM
ons: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(){return 1M
==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{constructorM
(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.strokeStyle=c,e.M
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.length-1])M
,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{xLeft:t,yToM
p: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;r<a;++rM
)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(102.499,199.2,100.899,222.5,92.799,24M
3.2),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(453.9,307.5,438.099,289.5,428.699,268.2),eM
.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(0,0,500,500),eM
.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(66.4,376.3,6M
5.3,373.7,61.7,371.1),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.bezierVerM
tex(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(438.5,125.8,455.1,157.3,449,188.7),e.beM
zierVertex(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),e.bezierM
Vertex(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(46.8,164.8,53.5M
,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(316.9,12.M
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(436.2,373.1,435.1,373.8,435.2,373M
.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(64.9,294.7,67.3,295.799,69.5,296.9),e.M
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(71.9,201.299,72.7,198.1,70.8,192.M
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(183.1,162,178.299,148.2,168.399,136.1)M
,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(195.1,80.599,196,76.99M
,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(243.2,99.799,243.1,105.899,243.1,112.099),e.veM
rtex(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(243.2,148.399,243.2,151.599,243.2,15M
4.499),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(297.7,358.1M
,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(256.9,334.8,2M
56.9,316,256.9,297.1),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(265.1,149,264.4,149M
.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(317.4,79.7,317.8,79,318.1,78.M
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(330.6,175M
.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(400,292.4,398.9,292.5,397.9M
,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.bezierVertM
ex(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(149.6,247.299,150.1,246.399,1M
50.3,245.399),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.bezierVM
ertex(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(158.3,265.9,139.9,279.7,12M
0.2,279.9),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(122.99,360.2,125.799,357.3M
,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(209.499,301.5,208.199,303.9,M
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(346.3,280.6,332.9M
,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.bezierVertexM
(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(338.199,258,3M
46.799,264.9,358.699,267.3),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(350.7,374.2,352,373.5,353.M
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),e.bezierM
Vertex(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.bezierVeM
rtex(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}function O(M
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&&11!=n?e+"M
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.n;++e)fM
or(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[e][i],t.M
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}forward(e)M
{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!=this.cM
urrentIteration){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=Array(thiM
s.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":return M
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 G(s,o[0M
],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.height=this.eM
lt.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.elt.style.M
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._pInst.sM
cale(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.levels[0]+",M
"+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>0?(this.M
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._events[e]=M
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");return M
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 r&&r(e)}M
)),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,t){this.M
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\//.test(e.typM
e)||"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="121";let ae,lM
e,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,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){leM
t e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$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.training_traitM
s),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","#2E2E2E"],[M
"#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","#d5c2ac","#M
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("#inputUploaM
d"),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}function Cn(){nM
ull!=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,ct,$e),iM
e($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===yr()&&("iM
"!==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.style("fM
ont-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("TrebuchM
et 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):2==Ft?(M
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.visual.noM
deShape))+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(...Se.sliceM
(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,De=[];foM
r(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.push(ft[utM
][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 $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.lengtM
h;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){cM
onst e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$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.length)).rM
educe(((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=[];for(leM
t 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++){forM
(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,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.backgrounM
d(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$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/2,ae/8,hM
eight),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.background(255),JM
e.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]=Hn(e,i);fM
or(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(Fe),fr([aM
],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("Trebuchet MS")M
,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 belongs to"M
,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('"PERPENDICULAR INM
HABITATION"'),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,height/M
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.`),i=2==Pe?M
"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/2+305*leM
,"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.textWidth(" "+M
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.textWidth(" "+o[M
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.noStrokM
e(),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:","1:"+Te]M
,["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][0],r,aM
),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.textStyle(IM
TALIC),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.text("GROWIM
NG",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 e=i[i.lM
ength-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){let n=cM
olor(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)}function mr(e,tM
){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){i=`Hey M
${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing bM
oth looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dyM
ing, and my intelligence is decreasing over time.")}else 4==e?i=`${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())},save4KCanvasAtCurreM
ntTime=()=>{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],["Squared",40M
]],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
ream",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:e.visuaM
l.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":"7b60L
342aef33a1e4","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossorigin="anonymous"></script>
Bj@=:ETH.ETH:0x0aC74b7D41FEB623c24C2B128e34c4B3bBd71A30:30175721::0
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"bits","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"bits","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"bits","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"bits","amt":"1000"}h!
FjDOUT:2F44A1E5615A1A36BACCA856CFF8B58C60A88D1770EFF9706109EFE40AB68332
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
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
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
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
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
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!
<svg xmlns="http://www.w3.org/2000/svg" version="1.2" viewBox="0 0 24 24"><rect x="8" y="5" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="9" y="5" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="10" y="5" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="11" y="5" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="12" y="5" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="13" M
y="5" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="14" y="5" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="15" y="5" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="7" y="6" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="8" y="6" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="9" y="6" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="10" yM
="6" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="11" y="6" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="12" y="6" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="13" y="6" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="14" y="6" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="15" y="6" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="16"M
 y="6" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="6" y="7" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="7" y="7" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="8" y="7" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="9" y="7" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="10" y="7" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="11" yM
="7" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="12" y="7" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="13" y="7" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="14" y="7" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="15" y="7" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="16" y="7" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="2" M
y="8" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="3" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="4" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="5" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="6" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#142c7cff"/><rect x="7" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="8" y="8M
" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="9" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="10" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="11" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="12" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="13" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="14" y="M
8" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="15" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="16" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="3" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="4" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="5" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#142c7cff"/><rect x="6" y="9"M
 width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="8" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="9" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="10" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="11" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="12" y="9" M
width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="13" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="14" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="15" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="16" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="17" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="3" y="10M
" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="4" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#142c7cff"/><rect x="6" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="8" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#690c45ff"/><rect x="9" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#690c45ff"/><rect x="10" y=M
"10" width="1" height="1" shape-rendering="crispEdges" fill="#690c45ff"/><rect x="11" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="12" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="13" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="14" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#690c45ff"/><rect x="15" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#690c45ff"/><rect xM
="16" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#690c45ff"/><rect x="17" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="3" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="6" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="8" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#8c0d5bff"/><reM
ct x="9" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#8c0d5bff"/><rect x="10" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#8c0d5bff"/><rect x="11" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="12" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="13" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="14" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#8c0d5bfM
f"/><rect x="15" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#8c0d5bff"/><rect x="16" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#8c0d5bff"/><rect x="17" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="5" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="6" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="7" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#00M
0000ff"/><rect x="8" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#ad2160ff"/><rect x="9" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#ad2160ff"/><rect x="10" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#ad2160ff"/><rect x="11" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="12" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="13" y="12" width="1" height="1" shape-rendering="crispEdges" filM
l="#000000ff"/><rect x="14" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#ad2160ff"/><rect x="15" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#ad2160ff"/><rect x="16" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#ad2160ff"/><rect x="17" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="5" y="13" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="6" y="13" width="1" height="1" shape-rendering="crispEdgeM
s" fill="#352410ff"/><rect x="7" y="13" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="13" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="9" y="13" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="10" y="13" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="11" y="13" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="12" y="13" width="1" height="1" shape-rendering="crisM
pEdges" fill="#856f56ff"/><rect x="13" y="13" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="14" y="13" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="15" y="13" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="16" y="13" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="5" y="14" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="6" y="14" width="1" height="1" shape-renderingM
="crispEdges" fill="#000000ff"/><rect x="7" y="14" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="14" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="9" y="14" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="10" y="14" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="11" y="14" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="12" y="14" width="1" height="1" shape-rendM
ering="crispEdges" fill="#856f56ff"/><rect x="13" y="14" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="14" y="14" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="15" y="14" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="16" y="14" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="6" y="15" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="15" width="1" height="1" shapM
e-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="15" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="9" y="15" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="10" y="15" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="11" y="15" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="12" y="15" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="13" y="15" width="1" height="1M
" shape-rendering="crispEdges" fill="#000000ff"/><rect x="14" y="15" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="15" y="15" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="16" y="15" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="6" y="16" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="16" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="16" width="1" heigM
ht="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="9" y="16" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="10" y="16" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="11" y="16" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="12" y="16" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="13" y="16" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="14" y="16" width="M
1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="15" y="16" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="16" y="16" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="6" y="17" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="17" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="17" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="9" y="17" widM
th="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="10" y="17" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="11" y="17" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="12" y="17" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="13" y="17" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="14" y="17" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="15" y=M
"17" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="16" y="17" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="6" y="18" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="18" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="18" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="9" y="18" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="10M
" y="18" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="11" y="18" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="12" y="18" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="13" y="18" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="14" y="18" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="15" y="18" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><reM
ct x="16" y="18" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="6" y="19" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="19" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="19" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="9" y="19" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="10" y="19" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/M
><rect x="11" y="19" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="12" y="19" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="13" y="19" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="14" y="19" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="15" y="19" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="16" y="19" width="1" height="1" shape-rendering="crispEdges" fill="#00M
0000ff"/><rect x="6" y="20" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="20" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="20" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="9" y="20" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="10" y="20" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="11" y="20" width="1" height="1" shape-rendering="crispEdges" fill=M
"#856f56ff"/><rect x="12" y="20" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="13" y="20" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="14" y="20" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="15" y="20" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="6" y="21" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="21" width="1" height="1" shape-rendering="crispEdges"M
 fill="#352410ff"/><rect x="8" y="21" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="9" y="21" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="10" y="21" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="11" y="21" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="12" y="21" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="13" y="21" width="1" height="1" shape-rendering="crispM
Edges" fill="#000000ff"/><rect x="14" y="21" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="6" y="22" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="22" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="22" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="9" y="22" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="10" y="22" width="1" height="1" shape-rendering="cM
rispEdges" fill="#000000ff"/><rect x="6" y="23" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="23" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="23" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="9" y="23" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="10" y="23" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/></svg>h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"coin","amt":"1000"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9688.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9788.unisat"}h!
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"9588.unisat"}h!
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_370", "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": "relu"}}, {"class_name": "Dense", "config": {"units": 14, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 10, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 14, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 10, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 14, "activation": "relu"}}, {"class_name": "Dense", "confM
ig": {"units": 10, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 14, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 10, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 14, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "72GUO872ob1iQD6871AHPLvjSDyixiG8G9XNu834Gr3u82M8EwIYvYJYkD3AGxc92JR2vRZj4j3HyHO9bzgQvYSnHDsUX429Fe7TPLBGTb3mPiI9EhLnvOjWXLz4Qu661hoPvOZWGLzkB2S88Jh0vVa5rbwCR669LIyGvXjsDbM
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
4jPZHeBD3bF5Y8Bju3vaWj+LxIwZK8jyvgvYoEFL2fBki9cSSEPaLlzz0YJni7pAIQPTeOJz2p9Ai9a/4XvWzmQD2/+I0944eJvR/9uT2NLU69Ph1uvQVZyzxYH2a7ngs3va3VKDxO8FM9SUl7vQ7JIDyi4Ko8Y3t4PXSmkLqVqVO8hoY1vHaQo72TSr+8VsP9vQCQJT1QCDa8VmP9PO703j3PynY83yB+PaUhUj0Lqok7OKfRPN/TMj22lf09pw8UPAszgz12YqK80SjxvDEaSDyPpj48JAtMvFycSr1cGVk9lAcmvVP937w9saI99R7BPfKo6zxmKR494sHxOyK7D70za5u8XEGnvc0x9Tyh8WA9uRIFvV82gz2BymO5T5+zvMFDy7w3yau8KGUMvc/Mqj2G3r49FuxTPUnmUzxTea699aOAvVc/6bzgnng8K2VHveTWwrx3EV49bDJcvVStHj3NoDM8hg47PVsvdT39A+g8fs4mvMgCzryPHRk9HM1hvXVM5zM
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
x/6om8FskEPZXVmbxlWts87voRvn4/Z7029/I8XCb1PWAHijzXqR09IqfsOwRfmL0lzCc8BZ+6vUWwUL3jewc8vySlPEZSHD1x0Pa8FGXKu+ob2Df1NfK8h8isvHbCUT0FB809IJaHvatPnD280EG9RB+uvNLmxbxfXFu9QNd4PODacr2mdK49JKj8vcUVe70QV8c9rHhJPTCrKr3m/xG9tkMhvcqJL72Kjee7HSe+vXOd9LyX7y698G5vPUpp6T0RxE28YeH0PORVhb0ye0c7txdgvcrWDD0kS8g9eHouvRsQoj0mBpW95QzOvZbulL31D0m9sNCAvUBXtr2EcyM8cbwSvkpWy7tBVlI9lLeTPf2qdL1EHEY9X27VvShpo72irr+7hcPhvXqiMbsanyi8/ZU4PSIWQj3On269vKKmvHIpFrwhinq80ZJgvK3fmz3SYFU9v3g5vVVntz1UdLa8G7v8vWTI3zuKZou9BEmjvah9lbzchSA9p6KLvSlxyryEeZ09H2M
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
1MsFY9Wd4GvUgQOT1N4I+9YyvdvNWn8jxcM2W8K+6kPHVOGDy+Yao9l6dQPUlbg7yk9d67/5l9vScH/Lyljdq861UUPTZMpTpMIL488utzPd1wQLtoX4+86Wq8PbNmnrwKlF+9PP3PPIbJdLt0TMC8gRZHvbUU3TxBJvk9+ItGuyyYDj1gfI+9U+mVPEq/mLwkSDS9d7JfvTCGjL1wHcw9itgOPUhJxjw9BH68/kVdvYYvtrwxaRW9fWYqPa2qgb1ihIG6R7EhPC59YTwg/bY81nbHPcrkK72LEoq9dvAVveg8uLxk73+7OWumvTU8fD1lJOQ9uxhkPLrs0z1kGMa8M/dKvAjoI72bCEA9srnkt8S0qL0RG0g92vahPciHvryJhF89tjJZOrHPNbya4L29uV6RPAIEGr3UkVo84QeRPUtAFL0648W9qbexPQR/QDzXvz294MOJvdNOiD1uQmA8MLSlu1Ks7z0LVLs9eOyXu22ZR70OPgG9g8jaPKSH5bxnTKg8wAM
zBuvH5yb2VMOo93Yo0PfCemL3OTY299uQ/OtfcZ7qva+W8PkRAvCS0Qb3J+rK9b7saPQnn5rwDkHm96qSQPYx917tqrvu8lPOlvPD0kL2A6FE98pOKPAMVUT2xYzY9xZ0qPOYWlb2FrIs9Fv50PTKU9rwCP7+8bvi9POHelb0m+AI+6wWSPGqWF71bkYe8prK1vDL6hbybW2i9gvQMPTYOOL0Pp7s7DpiHvHflJb13cwu9UTQ3vAOEibye/LG8bQ4JveyCBr2q/iC9qgfVPAkZIj3qc8+81cf5u2mTbr0VyeS8QZJIvYU0TDyWkZK8b0PFPOaTj7mm+AA8qlXpPOz7sb3vI7W7tVr0PNkLkr0ooxm7dPkXuxXizru1ezi7GTqdvRDUtb1olRG+Sr3/OxEl+zqs84+9Hlv5vIw4NT237ey8Uo8yPVbnjL3KU+u7V82FPC8O2rxFWoO9Zpw4vez7Db0OgYk88kXBvVaj7btDB9C7an5Evewxw7zZVQ29MfHQvCvY4zM
ucJcC9BzDWPPSe4bwLms+7R9uxPAWPjDylmwa+9unfO1G0+bzNMj+94qrDvFZR4LtYeGy8TfMMPL62x7yFOMe8lP9ivXmDdrwFc2s83SMhvZoMV70EJJk9gHs+OuO/Cb3cxF28dGZkPJKncr2Aqke8NnesPH1iw712cpe9DUKXO2h4ATuoCWu9+HzAPFSnbL3Gezq9xoolPZMMTr3JR1q9x/zsvLJlYLzr61a8ka2qvFi5dryZOHU9x6E9vIZwabyBIn69YERuO2gNwbtv+Ao8WCDxvBHVK72gwly9Ra61PNj7l7u91U28vEWwvXag6L0IzS+9wfUIPCAZXzwJpHC9gZ+cvFHlBzwEQYi80o0KPaeZIrwvllG9j3bSvechkz24gmI8ZDfrvMHyFr2+YIY9BFw7vSayFz1h0wK9jTwBvTDMwLzl/ii7U8GFO4MhDzwBcwI9H3a6PX/h/Lwy+OW8e5GQvYOffr0WYbu8MSiovBRhGj3Ttpm9QoG7PBNsuzlG/6y7rvM
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
znPEHRRj0epXY9kYAsPYPIbz3a/aW8F2O4vCBheb3r5jw99SUHvb0chb24OuU8RuntvY4KrTyIKpw9jqSDPQsMe7xbEgQ9aZK5vbZWuL1vvZ29qPZmvZAhjzwt5Jg6QoGmvHhIOTzjbmu96DwHPHO8Nz2c/Wo8TmuQuq3nzz0p0Xg96U1ZPfwMWj1MLXe9yzv7O2zaF72JLbE7L91cPKzbDT0Pf7Y8puAcvtcj0DzC9Fk9sZOXPLHiQ700mnU83qODO3pykDwbJkk88he1vQd7t7z2RuM9Io++u7j2DT0TqrI8G+7nPNtFLT2PPog7cA61POZw1TziwW09NneDPQRmmzxOPgq9rTWyvLoLfj3JdXE9YpGmuwDZoDyQlZm8++CvvWE0rD24VXC9bqdSPXnEUz1JK6Y9iP56vdPSybxhtik8pGvXvEurAT0eCEc8ezgNPaBSF7vHZdO7edcrva1MYLtUrQe8MUGmvEoMqT2OKYc9vJagPSOkYD0iICO9ZgE6vQUUjjM
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
Mqvbbwcb2+dgw9rdZAPXpRLj145KI94At+uyhznr036je9EbQ/PT2VizzhdN88tbgpvUahg73gacm9mx/5PD5lkrzLWI08+pHEuygno725TQQ9Q8o2vBUeGTyhK0S9SWXeu79WPL06NFO8LYx1vAZ1WL2tCrm87LYwOhdb/rw8/bI8XQS6ultEsrsu3SM8c71JO1B3hL1G7pi9YGWjPGkM57y6VhM9Ft/dOrszp70AB5y9rN15vXoPpjyxE4m95OhEvZL2Or0nqXE8hUyFvWrO8jxS7Nk88ltFvUuAEb3NvMq9TGUGPQk0jrwXFJS9ZClSvRKnoLw3HZa9zP5bPCX53bwzz0O9EGA7PGrjBL3dyXO92VQmvR00yztMENM7toj+vFVhk73tiiC+llQxvd1kjr3AcLy8Db4EvJ76fLw9Df67QD3ePEvrGL0N17q6zBinvb17xr2XQ129c34OvYnK7Tw6vDy8cqdwvATGhb3rsYe8W6DzO4FdiL3jRIy8r7WmOsAQdrM
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
LYPW2fdr3p+GG6NnrDvRx4ULyz3oe8jruNPb6ZfjwG0Ai9ncQKOqSyNj1tkFs8NkNiPQEnsL0AZeM84a4iPSLOBL2eqm09TPjIuzxNED1Wm0Q8DpAEvAgJ3L1sYYi9YH2OO4To/L1Yw+W8BoKEvFpkrbpcxFE8U0caPZmQy71MsaO9rkwrPbCw/by4xve99OZvO+OXlbwJXCg9iOW0PYc+uzzl7By9vA/gPPAkTb0CQ5s7W5MmvcU9E72dKia8sGeQPHB61D3uwgi9ri1uvVV5pL0UwE69AHpnPfumxL1BRqi9tjZXvc4kJT2hrYS8NwltvKKsvr04hIu9HVONvcROHT3OlQO+NpIfvH6nFb2XRPq8wU++PVPm6Lt3+0a9c7ERvJs0UrpYKDC9EIKAtrtLjr1SkbS849SIPYh2Bz25kGU9kxi0PTdpHz1FLAO9naO8O+EpoD2qEUa9q2bpu4zSB76P8Cu+NRgHvp7aiz0I8pu8CjZGvPHatbziAlE9nYIevRcebLM
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
3+Pgs9GLQCvcFHWb0u4Za8KJYSvgqeqj0oz8k8qScBvTCOE72PS/C8XzSzPF7IYboZnGc8XXG9vY88/TwYMes9Gz3ZvCTeZj0zuTo8EUgovVwdXTu6XpC8w/F2vDekEz35Oy49w2QBPjKMFryrdt29bR80vb95t73Z1oC87TBPul9ECjztNr07eLzOvaJTmj3XDba8l6aavPeNGD3Ti+S8IdebvZ4Y+bswrwq9ZWi4vaDetjvfoLA9sO9YvaLWq7td9Cs849t+vTOt3zyk1MS7rjE2PXC7Mj1ML4s9/dnkPa4v3bzgguS9PTiIvdaWFr3l5YY8JiD2un7mIjw1+c68JrUVvqCkTD0Jdau8jsObvYcFEL1VA3O96e04PW0HRL23zOq7S7QFvh5oMb1rass9hFM9vF73jbxACcM8odHZPJoFBDy92TI9jsCBPQgqEj01ecw8yhsPPoDNub2npfO9o9aGvRaBOb3IRwE9d2ytPcIf2j3KuM+83xkYvi/JYT0NIlm9gvM
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
2g5Ha9+j4QvdBrlDr+cuM98MopPcPFTz2uEGm9uJ6vO5B6Pr1qjoC91H4ovdPbljwpLwE9VA8iPd66y7zfvZK9rBVaPKYmuj3W5x66nuMXvCJYtb189he9M8oYvsOaQj0rTww9j4KAvFRhzbxfW3k9be0BvFHzi70XeSC+3gPVvLVeoLwvRqg9GQWbu/9nujs23va8qOVePcLWJL3XXoK9YdkpvjkHM73DPYS9dticu/hoQT3o0kI7qcT7PFaNfDw0mWg82v6ZPdLGLDwKTGw9vR5XvbG+qjthaWU9qZkiPfn3EzvKwgo83c6OPM7YT7teShi97v6BPWvDQz2w5bK8I2Y4PMslNL3qKMq8p5UiPOEmEDyufbs88XCCPMtrGTx8SG+8WivOPKfdHD11Q507udpQPep5/DvI0Dw95kwQu6JCjz39CNo9gRScPNu7gD0b5ys9qORjvHZ38zwP0Qi9c07zO78DpTlPW/e8w16hPDS8UbwW2YG7wnMXvG5E6TvXa6k8qsM
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
F5vPGKVD36HPo9YmD2PEaUxTuW6mi8+9YWvenvgbwElpi9BFtIvKYgTb1XOfY76H62vG6DvjtauVE9B0kNPFdFsjzCWF29TplIvco3aDyNB5E9gGRUve8Crz1X/Lc8QxUnvUbJNDxmdpW8C5tvvSq/lL3lHei8bZcAvr8VOD1zCtA9PmTdPK8DcT1pcD29EwZ/ve2Llrz2qBW+1X9MvRpg2L2ZqbQ8JcEXPVFYdLxEjco8dUSkPTO96TwHAgW81JkcvjYcDb1WaQK9hiOFvP8tpDuQvp68hBmivQjTOr1sM368v/V5vFIChT2pyq49EJpxvMOXhTv5NaQ9+2s5PTZfWbz0sK69Mx+0PGVuEr0Roj69YNHqPcrtjLw1I8U7vq2cvODI77zsIVO9XMhRvS8l5ru8XUQ9FVynvTne1jy+D+w86IBlPa9ekb1FOvk8HHkoPY13Jb3Utim9h1S6O78/Lz2N1/m6cA51u74I+rv4r1S97mkOPCq78zyLSx+95XhYvZtahjM
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
lCvQuMjD01xFs+IcNlvZIgALwTkO09qZ6zPMyQJT6IvzC9VaxzvaJ6Ej3fQ/w9/DMEPlGQFr4WSy69hXYYPptgpDtiI949YBIdPMjmDL2PpA+80gM5PY394TxGKJs6qS9NPa0XKD1ZV1M9qDqevbz7Sr3Oqwq8Ua24vdmcpb1/b7+8PhdPPL8+rz3qUVW9V1OIPcC4vL17LIC9PBACPUFAsLtLyp69L6fNvVcAU7wlwaI9pmeNvVket7zeske+WhVLvWgRP7y1wRy9tG+nPUWxNbyzNju9njGIPemTcD2322A9JUMkOi3lHD1BSla94Rzkvf4IiLy3j+S9fdwHvqHFoD0exGa91vVjveYieb0EkQO9wVWUPYJ9/rxNtfy8n0bSvc9tNr7/8/Y9wOUfvaeMKr1sdy2+/Nr7vcIIkL2Rsmm9SJowPgak2j0TaG89TfVovrI2T7yPyQc+5iEmPhaW5z2GWo49HrgzPZdjsD2Ps8097Bk+PXDBbb5G+TM7flSePTPpMzM
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
1aUTI944R4PMeH5zoQwpg9OPEMPdICpD3vl0w9ExohvYfrXj2yirC6a10FPOC3RT3LPAs9f6b2u3vo5LzyaaO6mhjLvNhFGr3gFsw7wGlUvSirjj0mBSM7MTZPvH7nrrtpxN08GEhmPWEVEj2eJHe8ONcRux1Rc73YN7q4K+GUPVfo1Lzolka9EJf1vERciz33kCE92pQtPNEptD0QS9w8x2BfPYRksT2i2ce9HX1CO/o52buVP6u8HWdNO4WCh72rQhq8AYuWvYEW37q4HM47vA6lPATK/TwVXRG8zeSEvdsekz3qLr28+jiHvYBBYb0i3Qq6kt2dPTzYDD08/CW9wigfvIehw7sb4+I8K+pqPerVbz0fwk496HlXPFb/XzsiCW69zgWmPOBWr7xNdhK939d2vLYHGzxLRLG81BE5vUCmoTyv3Iy6pKOPvNzuKTzH79U8cSFGPYe5wrwrsAE9sud6vZbOMrwf5iw9DQXKPA+nVj25aM48em65u0ipyDxS/pe81TM
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
twJKG8V0uIPc0MwL1WBO48UIOQPDeYDT1iRPA9d/sLvUByTb2RTzu87oWRvAhmLrkv3V+9qbdLvenqWr1J1xQ8gNVBPpQxhD1UoXY8OJy1PFuDHTtEkx+8KoywvVp7xLwHxTK9mCjIvXa1sT2FGGC9To0MvCEGKD2SfSk8TVWdPHRCnT0/wZM8M8aOPPTE/btiveW8PHjVvV0zjT3i/249vl9uvCEmXD1/iTQ96y4SvX6VMj3qwc66DofPO3J9L7y3d+k8ueU6PYXLyLxM57Q7tpeWPXtwiT0YI8G8W5FVvTOJnD32C1m7wE6fvDDy2juSguI9AAiKvUDd17z/ziM91xbVO435OT32iKk7eIikPGTSbj2PZf88Bb2SPZaJtTzA3lw8olYrvZpOZT3eCYO7Hm4KvbVMMDzZWh89iSJovQ2bjz2qH2i9W//oPOIRpz2QAWo96UZFPcdTsz2rEUg8/TApvVA0wbwI/g49R+ErvFqCp7z/Hgm9NwzcvDA3mT0cORs95fM
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
wmmS4+fReiPdL20T3ivpq8pBC5vetaBD3vk247BnIVvJc6FTyPwBw97ZKTPbKpiT3OEIc9mSqTvfR2Wj2k1Km8Xy0/vQVkqrpXi1m9a9kfPdSHqj2aiZg98qtAPbjcazzH9PM94r9uPVTue7z8bMG9HA3KPCph9DyzbHM9PYG1PY0IPz2Z9oE9BKIevfS4SrzoEzc7FvsWPdkXxTzrfZ49y0gxPePTOT0nEno9gh3gvSkuY7tBhGA980CpvX8ycD1bAEG9VdlCPeDHPbmcvzU8xfu2PCZ4vD36duI9vPnQPc0iob0ZLJm9nAqevNXwujz+kYW8qkcmPVnrOj0QSKY9NcoFvfX7ZT2cyo29TeW8PMwKpLw+Fjg89Xy7vMuGE70Jk0k9fjRgO1FIhTpoMgs9it+EvWLKbj3sLkI91HqXPKjrS72mmaq9jSFRPUfmbz3QBnI9j+SwPXjFHrykAoG9cbd6PLD2gDw4LFM9rqjWO7nDCjzwuR69+IbDvEQBDD2mTtK85VM
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
seGB29g+IMPVzxWz0mTgm9rABtPa2RPb1ggg69RnnBPWnqDT3zPYY9v5h3OiGeFr3a1+o71COhOS6zHLwsbq48gsItPB2Y4rxZypG5jNMnvL7LZD2YN6K8XhsevTmI5LuFUiI9IpqWPVm/Ir3AaAs9U7snPOVLQ71e2RU9owmAvf4XSz2XLUq8T5kiPWXq1LyArTa8xa4PPeiqKD0yQui7P/aSPLneAboqF1E9GQKfvc/raD36Aem8GI+FPFYqd70I4O07KLUovFbCuT2f5rQ8yWF9u9cgT705a2U8jWpZPXjlPjx+WUc9SvgEPaItAjwVObw83KbJPH3xlDy8u0M9caWRvHN+JL2oRIG9qCfEPcfDtD2Cxdo8oyHIPcOyizvq0tM89jwpvRY4y7t0dwE9OM+jPbAP4DlrAxg9FCvRvBe+Cz0PoNK8EkWqvVLW9rxba/s8yBtvO1ZBKj0ac7U9R2TKvCpka716dnO91aOZu5hHij3PbLk80uMdvGB30LsomY+95gM
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
yHQ708Nm4bPdQEgL1oWqK9YX+AvZ3yjbwBOVA9LfQTvREJsbwuPg69AFbIPMw8BDyH3tY8udAyvVOXLL3E7/m9TZO6Pf0TkL28FY69Rj29vOBTCzx+NKm9YBrCPetj1b20LrG93VeFvaG+pzyMlUW9JOievQ60BjwWlpU9dDwEuxcrrTuBCPe9dGLJvDpX1L2yiIY9aD45vTYmSb1jRFq97AWCPPAzojt7awo80JFCuxh0Jr18RqK8S2kpPWvWrL1KoP68aGGMvbKNvzuoYkE85+CiPbePK70XLoi90ApFvdluojzbzMS8Hl9Hu+a3t73rXQI9SiQovbscRT0jY+69/vogO1Xznb1YpjQ8dMvlvLhbIL1m0Q69gHt2PUDfYbwV6Ho9p0GSPMgPtj1XT608l3BHvOMWHbzz7Kc8WygivTKhRD1ti1e9Jzf0PIC+lb0gZD+9YhSRPQ7khrzZWnS9e9rsu7mM6Lyf6K48wEbrPDxjRz2z7G29J7ixPHuvcT2z+ta9avM
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
17Joa8inIFPZ6c+jsFMhG9cs6vvcPKDD5RCby9WIu9vJiPCr42cfy9PAovvgm2qD2vUDk9R8+cvW6or72sY0g9Dv7OPSvxJrtQpm69ZllBvcQqN77i3Uk8YMQGPZNmpLwXrYK90jPcvP1qsz1QhR094xRJvROhBr54rcC9igKiPCUTFr2VB2w8OatpvXIvpT1WMJi8ZVoTvlahoL0LxmC+eSM7vmtGUj5mvRu9QC6evX08br39uSq9XkJNPSJ4CD07K8u8YF7OvZnyPr5DUWo8o4TmPGQmdrvfakG9Sql+vaUXrT2+LA09RPYavcBU1r1epdC9bWSvPZxnXTtMjFO7EWovvRq8lj3Eqi29Lk+HvSWAU72K0BW+28lNvk93Aj5RtXw9/z/svXL2h7y7E4i9ww0RPbv6kDzorAs9BxCevVz3Or650bO8paLmPZThSr2MvYu9rKSMvSlx+z1iZ0k8zaYQvReW2L1J7Q+9x/w7u1h1EL1hGrQ8TzB/vLWYDz7fAK29rbM
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
MuvJ0Jgr1dwQ49JOrTPc8hl7vJbJQ9aleQvFdbkb1dOga+2UCOPM05E7zyRp29xmdavaNfyDs5c1i89LmRPZZwl70LHpO9FHLpvYRalz02+Iw8+DMyvcijk7yYFuq7I1A5vOiCh73jgZG9crxBvMoRH71DnEo94jlGvYtSM73OhSc9j6wiPayYHD0O/Dk9AeQovDCw6ruWOqC9zHlZvC6Olrzrer68nSenvGdsLT0odDy63sgVPSsum7xlF1q9dPDjvF2A5DyfrMy8YAIEvWgYaDvd5jy9LCgrPaidUL2QL6i8awtePWAfdLyYpH88bhC3vJbgHb1UGGC7BLmpPBBDST39mWm74xA4PWJo+7wBk9U8/D4JvSQaPb3/cE09AFpSvSFhlT1sEue8KeyNPalfNbsxa7A8EB/mPNwLdr1ZinS8T0cuvdrWnL3RPbG9NbF0PCscL73CdOW8z8AFPbSuhbsNi1G93O91vcnQCrudtMi6+gSJvfRjVj3ucPQ8AkTau8cgCTM
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
CdvPKyxT0GLpk81jiAPbO81zsRED89LFSMPT8H5jwy7/C812DLvEoFlL2o/SS70W5yvOuNqzvQx1w9X185PXnRFz20lSi84nVxPZyMK7yIwhs7ZrjFvM8XVz1LgD29Nep5unm9nz3AEQk83JQhPbtSCr15cY69j6qvPN6+Hz1sIPM8HDOBvHWYJb3KEgg9Dk2kPZznOL1Ui3a87OiMPDjxi71Npnc9jFzHPH4LXLsKfL47ny5XPYVFhj0mCmE7ekpZPXsIprxFd3K7oRHbuw5PiDpJdCc7+9aJPAuQq7xE8Fy9xN8zvcUlnjsW4KK95zGHPU9WkD2NySs9jR6HvAPBGLyVc2+98q4lOsd8Wr2u2qE9vu9EPGhYwbzHS0i9FKkOvVOeoTxRJVM9ksmDvY3WNTuSl/+7G5vSPauuwTssErc9F6hyvWOKzL11zGu9a5muPE+bNj0IqHS91+zvPDuDkjzq/IG97QP6PGZb5rz9HjK91kV7vX6mabz4ffM8FZcEuxodCLM
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
XkPd33wrsNtFm8lpz0uk/HjzvXp0g9hm9nPSSgmbxMa6E9g5DDOzjvo7p3Nna9HCASPAz9erxgImw7ceAPuzRbHD3pNG49ffXKPXzqgD39vdk8jSAlPRtwODyLzkw9wD/9PAndXz0admc8/ZGFvFJz373xv0S9XH2OPQUfxzxco4s90yNVPNBnHr24Pdc8FjzQPaBo8Tw+pcs8e9ASuxPAGb21O5O7PAtavYBSiD1y/py8LIELvUMJzLzA20Q923PyPEEpRD0ZdZI9OOU0Pa5cDLyAxZc71dfXPNKtBj2QfI88d+eiO6VfLb2GgVy9HcQLOrJknTzXinI9sOlgPY9ftb3DbwO5DL5wPY0nmTyY15k9OyoJPZfKAj1aWDY9ljIEvZNHQruWbAu9Syh3Owh33ztccjU8PZiyPehnpzxlQUk9qyIIPfJVuDrk7hM9DKMovZDmrz1Krsi8yFwiPd2p370TsY+9/15SPUvFuT1GHqo90wKoPR9DWbxKqDY9IaXbOc5yuLM
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
o/PhC/fL4sdRe/zG7dvpEeyj6VSDE+UzwMvyMZoD4xHkW+HMYkvkYb7b2cKp0+I85YvVUfzr2cp/g+koTPvjEkLz69fpy96WhUvuXcBT8N4pO9uwO7PhuCQj2XQE298MK1vpoBiD4k240+rBrLPsDuFb/NUh0+aBnPvKRra72MgaA9eyzyvtEEwD4czwE//G0BP8mcMb5DlrW+sNeFPQySyL36J4Q+dMNDvfxYUD7qKCK96Utovj3T874mr70+GlKkvjONmb4+Dwk8Df9zvQcqOr4NzPq8GeKGPaufE79eZWe+TlxyvhN8xj4QHEu+hE2Dvsr7RT4arEY+vxURPi4frL6SQKy9WAAJvyO3dj7p0Fm+qcrgvghbJb64CJ2+BzUDPtWlrT5pBby+ZuAYPue22jxksPE+ghVMPivfxD5zEWm+brinPltGBb26aJA9NsVIPhLe4r58kUc+jBe0vtV04z16F4M+UZM4PQk2uD5Q8ZG+42yJPYuAAL/no54+1WDIvo+3yzM
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
fJPvIKyT7f6Li+wGo3vkBf2b5V2Og9XwabPjmgmb7DxMY+zenbvv1iK73QbNM+B0q5vUADIL6/Uui8hRMnPte2Bb6VCqI+5Mh0Pmgy5j4ZpiW+T7l+vWA2hj0UNQs/UkYDPsoVNj6moKi+Yn+PviAGxj55wm8+23CTvSByfr672Mi+IL0ePlgSIr5QCBa+ILuvvsuIrb6I+Bu6tiWjPH9QKb5cuZK+MjCRPmaqgr7vib0+LzZ9PnXnHD2ccE89dzjRPcoRvT5Moym9VdhnPDSljL5Ny6++n0iIvlGA7z5H0Yq8/Lq+vofU4b4A2r4+JAd+vg2UTj7Axwa/hKHRPp73cz7PZIm9CGAfPiO3Sj406ga9OatbvtauHL79sdM+PqRBPoDBvD6iMlC+697HvhyUvb5DBg++lTSCvB4Xmb4ceD69C4kfvYJ/gT7VxAO/9LtXvgibtD7VoHe+BI3TPk9yE77p1dc+bVx0vfyWZz7wUVc+bN4+Povc8TzHRsM+4AF1PgRtCrM
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
cWvdvXiD60Qia9ihORvNKcK71UMH895Cy1Pr2B+T7lx5i+xmK6PkwW4T712se+/ukNv8jkPz7Mani9vITRPUaE5L3e7ea+riCovQqHwb2fSKW+BHzYPXBFBD8vPuK+4uiSvjOADrxQihc/zwqOuu9GkL7myis+QPv/vQGymr6S7g+9RCXlvpap972xGE6/9vumPqUOeT5evxQ+VFTsvjgoSz4pt7S9JH79PaUxQ710pgy9RApyPzhy1T71ZcA+kbDyvsAI+7updTi/YDwIP3eajz4Z5TK/RL0Bvm78rb5ewQk/1sOnPrXxOz7mhtG+hnYEv3moW77RH9G98qrbvRSOF73kxI4+", "training_traits": {"structure_gen": "Zigzag", "n_layers": 10, "max_nodes": 14, "activation_func": "ReLU", "epoch_num": 6}, "classes_name": ["Cryptoadz", "Cryptopunks"M
, "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*1e3,this.M
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,0,1)):n<M
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.getNeuronsLife(M
),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.size/7:0}upM
date(){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,this.angM
V=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.globalAlpM
ha=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-1])*(e==oM
?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;(min(o.xM
,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(0,0,500,50M
0),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(33.2,331M
.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(449.7,146.7M
,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(433.7,384.1,433.3,39M
3.7,430.8,402.7),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(33.5,350.4,25.3,313.2,41.8,282.4),M
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(202.7,9.1,213.1,7.2,22M
3.8,8.8),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(469,219.M
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(246.2,460.3,M
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(77.699,119.6,85.399,114.8,94,111.5),eM
.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(364.3,41.3,370.5,45.5,376.9,49.M
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(184.3,473.2),eM
.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.bezierVertex(89.M
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.bezierVertexM
(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.bezierVertM
ex(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(190.1,64.799,184.1,58.499,175.6,53.299),e.bM
ezierVertex(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(235.7,116.49M
9,235,116.299,234.4,115.99),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(243.2,254.199,243.2,330,2M
43.2,400.599),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(299.8,357.3,300.6,357.1,301.2,35M
6.8),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(256.9,260.3,256.9,222.3,256.8,185)M
,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.bezierVerteM
x(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.bezierVertex(325.3,M
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(331.1,169.8,331.4,167.3,332,16M
4.7),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.bezierVerteM
x(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(419.5,400.2,403,M
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(150.6,244.299,150.5,243.299,150.5,242.7),eM
.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(172.1,22M
5.499,184.1,220.899,193.5,212.599),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.vertex(1M
87.2,427.5),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(130.499,356.8,131.499,356.8,132.599,356.M
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(202.199,304.9,200.99,305,199.799,305.2),eM
.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(321.6,253.9,320.4,250.2,319.2,246.7),eM
.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(375.3,171.8,377.9,16M
9.5,381.3,169.5),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(360.199,267.6,361.599,267.7,M
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(354.099,372.4,354.7,372.1,355.299,371.7),e.vertM
ex(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.bezierVertex(371.M
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.bezierVertex(33M
0,434.7,327.5,437,323.9,437),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){let r=0;fM
or(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{constructor(e,M
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}static linear=M
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_binary_op(e,t,M
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{constructor(){}M
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.totalNeurons.M
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.min(n[e]M
-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.linear}}fuM
nction 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 W(e[0],f,M
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:this.elt.ofM
fsetLeft,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{width:thisM
.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)this.elt.geM
tContext("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===t){if(-M
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?parseFloat(this.elM
t.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");return n.iM
nnerHTML=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),r.addEveM
ntListener("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!==argumenM
ts[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],this.subtypM
e=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).readAsText(e);eM
lse 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="371";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,M
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,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t)M
,Xe=createGraphics(e,t),$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 Promise.M
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"],["#11182M
2","#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","#77c4d9","M
#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)&&cn==Ve-M
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,loadImM
age(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=(ae/2+wM
e/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"!==key&&M
"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(width/2M
-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),Je.strM
oke(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.inputDim,Kt=M
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=_r.findM
Index((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;t<Ie[e]M
.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++)if(1=M
=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 e=0;e<VM
e;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 $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,rM
]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=M
e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$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;e<inputM
Nodes;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}for(let M
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.slice(e,M
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,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTERM
,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$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,ae/16,M
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.textStyle(BOLDM
),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+1][a])M
,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,t,7*n/8M
,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.noStroM
ke(),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 this imagM
e 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(example);M
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("INTELLIGENM
CE 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 decay M
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.textWidM
th('"'+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(a[e]);M
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++)a=a+" "M
+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("PERCEPTRM
ON 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 REBIRTM
HS:",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.text(dM
ata[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",width/2+M
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/2+5*le)M
: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){let n=e.lM
ength,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)}functioM
n 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,t,!0),M
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 detectM
 ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. MyM
 recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} iM
s 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,t)),r=M
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",70],[M
"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 e=0;e<M
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,"Hardware AccelM
eration":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":"7b6042e20855f995","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7aJ0a2aaee641a","si":100}' crossorigin="anonymous"></script>
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;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_201", "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": 14, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 12, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "S2HjPE1UPD3Tj8Y8GWo7vQB6vruVPb68rR61PP1wqb3EEeY8SRuCPYS5jbxBXKm817qCPQ5dvzwhrMS698euvMU5R728RYc9dNp9veYONL1O37c5VcfsPL+IpT3/DIi9Hn2dPe7aQ7mUb8k8BxtdPf6PgjylFAy9MLAEO6bROL2JARe8coniu/JY07tKtJ67TQOxPa1dITzJUh49DfJXvHlHAL0fDTS9aUM
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
L/PCttsryFp6i796D1vA1s872Iyj89fA2SvNuQYr24iFk9Zwe8PWcKczxttgE7W/MYvexwrjybTPg6pj9ZvGfVLDv7X6+7EJQZvPdtAb2f2wQ8s8B4PIA6oryJQDw9LllBvBQXGrmmyzo8faUWvbfgY705jpQ9azfZPKmhML0Pyr4994AnPDzR4bujJWK8F5gJPYf0MrvU6Ig6CmjYPRrn3zzJx0S9ZZPOPewiOz0Rtsg7hodBvD1y4L2/bJ482MMrvRaRlLv4Gyo9rLJbPa5Rqbz8cyM9rnwjvT6m0ztP2fa7xj3yPFv/vrw8Cte7C/jUPEWhFD2qvl49l85KPYKsprwY7wM99wKNPOmFzDwnzNu8u5PevNmfUL2Twn49jqIVvO+xq7vV8Ls9jpsNvOVnjr0fvHs90xmBvD8mxTxzcW282vDePZZor7xDBh68T5AxPWUROj1XgK88nyKPvb8tAb4EbBU9cpGivGNqCr2Chxu8lrDaPZaQkT3dG8s9+RRhvVaxYrM
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
yOfEq88By3POhViroxAm89PsgbvX+wJb3oD7c8G26NuwrKSD16q1694oDSvGVx2DzIFoo9Op5fPH80HL1kalo9YigGPVbVI7uuqs46kpHJPCJEhTzu9CM8edCRPbVVjrsCwK88hsEgPQaE0ryFl/Q8vk7VOiZD773yGIw7sqAsPdgzqL0AYRK9SLnKPfxCID0qyxa7CgZQPL6jKb39TQ47pZcSvGyHUTxgx8C7j0JQuso/ST1IIRm9qHuNvLPxjb05FJq7UgKgvAjBDT2n8bM8ZZkMvaS8Xr3gL0C81moQPRF2mL2LKrk9yNhFPcSDcr0U6cI8VherutswlTxsPvA4EzzKPZcgL7wBRSi9Ob+yPSzIXz3a/xy891CkvaTv8732ams8VtsqPAkD2LzMWDi8MwOLPerFkjzu5Mc9tXeTvY61qDt0tCc9V0E7PPZoPr3iDYa9S004PTXPLz3HNVQ8TdlEvcorD72sam89BlGbuzqxOD3JC0O9e7r1vBFsd7zH6kc9cqM
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
wQer68vsTEPZ1AFr3sVu08jiBXvNHQ/L2JVVC9Lf4TPTEo07yLIq28PCWaPbqviT3mg089nDravPERJ70KX7g6nyqivFseFr2kRXo7oRUTO9p+Fb1nvfu7lxKwPA9dE71g4Yo9Gnx6PEbioj0edX+9DOpBvTb9g7xToxo9NhZzvBYdRrnGsKw9fFeuvCWxQb2FA3o9OgJ1PFudcj3URAY8hDzsPdRser0SiKG9SUFoPWHGGzzqKBC9lXNzvYcIFr2pgFi9Bbb0vO8+u70DciQ9JfHUPeaPyDqIxAA9Ybl4vbKIcr1L2xq6/9VHPJwLBTtxQe07vbXXvEAUMb1+fVQ9k4LbPN43nb0EI4w8nRVWPVzPsT2LvUO9PnlXvffMKbsGuHI9e+YrPdfhab1RF+09kOfcvDHzsbzcB1Y9Xn6hO9QayT1fiwE7um3bPY+zhr1k4rO6IZ2OPZNO1TxvZi+9DX9XvRDiU71CU4C92zQhO1qRy7wM3uW7MzvSPdPGVD2ClTg97BM
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
lw2wg9BxtNPTUfRz20qVU8zKDKu/vFiDsk9yI8bFM3vMak5DuI8iw9qsNVO24Bdb2v9Q27xR5PPB81hzsCsZs8IKQxuvWGp7xBAbW8BrVkOiuN2TzYoGM7m0m0OwTGnrw06lE89MJcPPk6D73Iagm9tUWfPQE6hLzVKDQ9HdlpvUC/Mr3Ohje8i0R9u17iZrtV9yi9lOZUPVHIhLzAcRE9f94kuojMC71XXcI8UZNGPTk+yLyKeB+9olS/PNAZR70DBve8DTkZPKdll7xF9wI+xPmUPT59L72Cu/u8i3SVuxqOfT2OUwi9oOuDPcIYWTzSRKq88pZiPU9sJL2r0eK8IPxTvNokn72ih4i8kvcXvVflrTwMQNi8FD9IPeuazrtqEcy83vWEvYsANb0Oa588N0yUvZuNpTxWrAs9YW21POaXIr0wPZ28W5wGPUe5I72C/EI9p0m+PVvNojt2m3Q8XHm4O/Eyszwo67a8Ymz2vBO6iD0TyTk97+GwvBsxNr0gSA+8OmM
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
atu7rVnzxbNp68MRMAPSewmb2McDo98xOEPHh1/zujm748njUQvUDOKjwfTGw9U8/pPHEelT10tx89nt9SPQPjDL09Rrg9EJEJvQobTrwI5lm95R+oPA5pAr3RP8s5SehwPfrHCzwo/823f6KfvFIJiL01YeI85RY0vQ/dcLxE7YS8qWQVvL2Qq7veqaE8WmuGvcH1AT1A+gk9MUJbPGMaWz1/xjg8+iuHu5+0L71yarI8yBBDPePOzr0llAo9//56PbN/D729fy87SWEFPcIWbL3mToo9R2cQPI0x3D10WYY8AuU6OyhGAT1fmwg92TztuxL8PTwj0Qg9ixeDvDuBj7yKLWi8UfJoPOTQ4bo5/1Y9LOiuPdwRYr1NFym9Y5grPeQeorwgSCo9AewbPXP2nbz7TFy8aC4KPewvLLmr1Ek9hu4GPZl/PD2r9C48oChyvTC8w7tE8R49j8y8O4NL7L2I/qO8QJ1APUyu57uhhcK8+7QiPIc9NT2vWkY9OaSyPUGBpTM
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
bxPO1vTb11rgg90GL6OwpAar2JNAC9GOGHPQs7aj1U4HY8Y/FavdH0lDsUCyq6WxrCvD3VJT1buam6veAiPfHlHb19FHq88wXGvAQuNr3qy8Y8OjKNPcVcVT0aoaE8yeJRvDwqHLyMMyG90dJHPWC+Tz2fKsk9zoKBvJw6FL2q5528mqa+vGBtbjxmDHS90guLPeSK1jzzXFC9Dz4UPSVWx7qeVow89ZIQPfkhHL1Rz4k9C93FvMR8Ur0BOC88WoquPMIbnLy5fay8ocX2vNhee7x00Ye9tQWuvN8fAj34OAA9R+XYO8/5PLySYJc7AwCYPCAXCr20JWI85HrQPAk0qTy0+Gk7hk2jPAwO87sr1qE8/XYQvCLQzzot1989TVQ6PT2N0TuDiGk8X2MHvQHOTT1vyQe93CcoPbawyLxVI9c8Hj0qvXSnITwJ7wG9thj5PASXjjy9v2Q9tY/avFWiCry99Bu8BNPlvAbevbxqJlI8Cs7WPP0Wjjy67Uk8ljisvLLZlzM
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
xibyW8XwhYPdo6C7zzpam83T+zPH3hWLzjqQa9z6IcPXveAD3zFRE9vaJPPIuNF72InRm947heu8YUoDw9xBG75cmzPBgRG72PVPo8k4HWPDstTb3iX6w9HZr5PC1y0jxDbiK8cyTxu4ZCWbx1bOC7H7uZu+31nLwafMU9udW9vLKfT7yhs8W7EHRivN1oGrv3pkc9fShpPXyIM7xOwJQ8d95UPa8yFzwLmFI8pLuVPaNL7rxVete6XREGPZfjAT20vDa844X1PIba3zv8A7W5qbFDuiTVSL1uxii9C7e1vM67m7ygiCG9wEt5PXp0WzyE7mi7bL9svDGZLr1IZrQ98SeGPaJ2CT3eZ8C8gX3qvC+2Fr1Gs7E51w8SvTqb6jycvNE9BcTRuSwVb7yw27U7s6YfO5rrVT1eOMm8lkOaPbwYNjsmdKy5KHsYvec7Pb21RlO8Mv86PPGR4LxvwBU9a5/0u/XZLr14aXC8RccRPW1eXz3ZIBS8IBaEPXJzOb0IJ7m8ewM
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
3bccq8REqrPcxkBb0VEiK9a+PFvUxF3r0p/S69Hi7/vLLWAb2lgwe93pCKPQCQNz2QBas8ePQ6OuPDAL1pTTc9CGbju0zBoDvQZuo7JYk5vY2nwLx7F7o7IaEaPLT/p71Vs9E8W0VlPGTZljwy8A29PrxivJyMAb3wFcE7ZruwPFn/Dr14F+s98P1fPd/sXTuxEyO7hp4yvaQynz3351O8W7mAPdUknjxsd/+8+kuwPUPN9TxfF4M8Y2+hvYv2Z73zkh89xXYIPbUNKL1lZqG8oQjHPeZ2zjwtxlQ9OyWnvOzVK73ODF89l2SDPaJV2jtw2SU9PESNOx9RGz3J8sq8XefCPBRbCL0aPrW8o2UFPfYBEDwUUO47IuM2PN3Xt7yGCYa7enNBPVw6bT3Pilw9iMJHPXq2M7xDhNA9tFoUPevIp7yOAKe9G3N+PSwShzv8S1I8qzYAPZPsAT2YDx+9TySovEiHiL3JQIc9ivIvPU1WN728eKo8x7/2uRaZJTwTiYc89FM
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
0bvW22Zb0J0V897MhAPc3rL71tSJa8GllHvBx/hT3p1lI8EJNwPHWrlzyDySA94ioLPS2ILr1D8CK9v9PguiO41LwCss67SFfJPR34uru3Tje7IGUpvZ3er7ykGfM8LJpjPPZboTzyEQY+6tEbPUDa3rzRVDm8jOxAvAc84jx0ZIQ8M5waPBW2Cr300m68pea3PEC8tDx/BeU8IWWTvOEfFr3Keyi99wQJvCHUI7w+jBs7NmWVPYhrJj2ljSQ9haiJvRX75TwpTpK8d02KPIkoST0VL7u8GNPDPPQBiromo4K8g1RDvR6GD71K/b49zKeMPVyrfblkJIm9Y1GNvNOf7bzCmtK8qzhsPEoPbjzovSY+yXb0O2V9Dz2/HEa9l1cKO256bTzpDjo98AiPPdNWID0ntwy9b42KPA/aRb0uvIW8aHUGPVMgEry44DA8S3FVPGBY47rLRCS9PXXnPFKrGj0+jUa8qb2Dvf2nW71IJQc9FcjlPCTKAj0jdOS7hiu5vIl2bTM
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
zYJPA8sfNhvLJ1zLwsZTq6LPP4vIJzpzxUL0M9+sxYvLf9CbuRCL898Dz+PFRWcr3UVQo8pGIEu1N2xbsKaVi9XqCMPP2qGz0iw4c8JgoiunkcSj0jYQA9M3YKvfN5Xb12l6M8KCwIvad1hL2OLoW8QsfiPJ7FJL3CJZA7URvCPPeGyjvmGL68vgpbPKDhoD1XBPC7xYdJvQozQTw2qTM7lmM2vU3Sxb21zce8XMHZO6ybe71FNKI7SpI/PbxvID101u284tOvPaXYFj3s7C09elU1vSnMCbwElfc8mxmDPdciMrzI1l48xXoSvCcNMz02pAi7QMQFPCfA1ryv++e8r+QIvIb1Kb3iz4Y7ss6qPEa8aL1eHts8wPKSPRDEgry0T/e8W0y3vOiGcTyPBCS9905RvCpoPz2j5EW9+TzNO2Qw7r1Dp/E8VTI9vcOSgbyIklo9F+0NPVg7vzxYD8S6L/vQuzPubD0GSoC8qhxEPei7Dr3aWS4+2E6avch8iTzMxHc6trM
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
MvvI7bRz2TsRw8N2rqPW9WKL3u/tI8mDrSvZQvrr1gB429NoCCOTxc/by5u4W8bF6bPYvIcD1UJn89VpgPPS38RL0jbqi7jIwhvcCElj2O2BW9EKtovP868b2dGuG75dxoOn8Nob3ueMy88PdhPbSaN73Dylw9pkdJvMYWFT1eIxi9Ow96PYjLWT0iMOI9oeT7vW/tajz1dsC8kD+MvNNrHL3/Wsu89pevvbFpxjxhhYy7gy60PZtmUr03esa7CKlovY5XAL68RuO9le5PPFo1Vr3Wwsg7d1KgPc3chDy+n369frzSvFFWaTzRbPk8YWmQvO3Uaz0IGKk9msF8vamsnLyO/te8BWk6Pch6ar1fvT68Zp+VPRa/1L1HoSE9l2PGPI+drDuAxyw9aoWJPUupVj342JI9+rK0vS+q1bwFAiA88+M5vUCaEzxhlga9sFaivVErejtMZ1G7DMP6PSv10zw755Y9laJJPcSpFr6mK9u7MioAPX9eRr1Y+ro8tHANvYMSrDM
wOVJ+9VXdPvGMcPD0bb3Y9udoHvHc5LD17X5874VzcPAUybbze8gk9/Tgzve0Tfb0HQY47VuzcPCeMTb0VdPW8RKPBPDbyDj2/3cG8J2T8PJ+/RTzDDDg94sJau8dnNz3rdAw91sxJPNhUiLsHl2K9FLmcvAsSJT2iFEY9TQtKPK7OL7wzMO487udHPeeUqL0/G1o8gFpEPdyuX70j2iY9MB4xPXhI0TyU3u26TI1GPUPLAD3oWx29MMo9vXh3Nr1NBWW8iguGPO5gv7q5YDO9AdbZvFYLgr3wZS68c0U8PVZsVj0x46g8aQc/vfcqRDybIyq8AYpjvP3qJr0DWKQ9HDuTvYl/mLzeQ8k8F6yJvEWBoD01ZDQ8YWcWvDQWJ70Dn5u9z6maPWJrcL1ZwX+8RnAivZAmX70/Tia97JL+vFk1Ur3xX4c7MK/yPW2trD20qK+7e4q3vUVJvjvrc7w8UJeDPNqwdLxo9h29OBqzPKDUaL1Mlxw8EDfQPA8XcL3ha9C8blM
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
pBvrtkjD1YxMU9tPOiPC7LvzydQaG74D+bO48NGz13W8o8hwpEPXvaJr5Bbgw9BztkvnY0o73Ysa+993TGuiBNFz05t9G8WCLkvLhW8jx/3og9iACYPeVEYz3GFgC9PTYHvrHI5j2Xqzy+KkYIvkHFN75jWpK8NQogPMd+Bz11p8a8n8GsvfLKcT2jg989AROzPf+8cD2DFuu9H1fCvfCBvr1T7XO9ZGE8vb1SuLwhOKK6iV6mvNgLjTzUvrW8OngBPQQvhT0EjLQ9I7FePZshQb7QU+Q8LV+AvRrm2Tqw4FU9uk9nvZXbW720vgS8AfZfvfg7zTy8Qgg9syk7POrLxTzJHhw9zjoevdfHjj0FNwy9CrpEvX4aib0DC1m8jPyTPY36GL1sTnY8elnpvUMbsj2nXa89o6vuPf09Nj2CP4i9jnoOvgjONjwRNmw9l+yTPXwA270nJMw82uHGva/j4rzLP/a9r2bePTSJ2ryeiZ09eCQTPCK1grzZj/28Auo1vBcfjTM
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
0n+Kk9s2/ovHCnMz3sTZS8E+yePWdiqjt3d9c9UCaDvSPdwbxfYKQ8cTijvAU7HT1y3nW8OE+yvdaGlD3cfRG+z5mYPAIfy7yrlT49fHy/PVpcWDwB+vq9QmnCvejyLb3HZd48dAFqPHp7Eb30wdu8Rv2VPUN4lDzjkNQ9/ZjRvYKyDz51sBU+facDPqAXMr7NTWu9AuMcvTkbgDyswsY8jzwYvOauYr04RqI9ULz0vE/uBD4UGm+9qvwVPpPBGD7oPQE+RifkvWtXubsr5rQ8g1svuvJ/97wKpje9qKoXvQ+aK7yfS2G9MtVGPodH0709J0w+xN92veUcLr3fwv+8li5LvOU8jr2dbpU9gzbuvHY3sD2moM86qNPxPDLMmLwDeHK9DL5nvbSAOT06uM+839MMvFFAhb0AEBu9Ttw3u34JFj3/FVI8jyudPIlvTD0lV209XAmjPDDZ1LvycJe9f1S3Oz4g8LwqfGi9e3nMvTHGhT0GqEa9+etavRK5g73x6Ia9ZEM
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
ze1Lk6wRJ3PWVEpr0h7qq9iPgevaWkdD0bzc49CI1YPZPVYD2eUic972UAPRld6r2Kd2e8WzETvfXHI7suV2w81wgkPIzNor2DyYO80d6tPQN/eDs17ha9G0DUvJDWAL1/3uS8CZp4PcsPHbvO0TQ9wjrEvVxHKT3Xui09rGlSPd3lJL0gSzS9p9ypvKyPJ72NzBE95SntO+srHrx5Ozg9wfn7vG2DBb0iP/G8Qc7TPOodqrxvdNk7s1vauyWgPzxn+gg8eMB4vC/oij1Lv+o8M1RDvBNqAb0AdjW9aLWPvKK4GL10QXi8T1mivDK2MzzaOqg8OmCuO+fVST2pZXu9oqv5O64KB73QXBC9UL6UOuTqhr38CsQ5gHwhvHj5ErykY249zAC3vHLFF7wq1g89NgQWPSzJOz3S6FK9LHcGPf4EDL0k/34925LuvHssGj3CrXy9EkCiPc4z4jyDuIg8w82uOqS2wrxF7wG9v/8LPVMAkb3T1Hi9vqYwvSw2lbv5Acy81LM
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
0ipxA+/jW6PdJ4pTyIVpa9yhwZvgNZqj0Yuek9/RH2vCwgsb1Sij68TgBrvSnr8DxlrNG8AYTKPUN2AT5v2g4+v1YgvlE5eb3IACO9xwVNvXxdzD22gwu9Tt14vQe/Ib0dti+7/a1JPC3xjzyqad89gLPaPWn90DwvtNq9+PClvVIjCzyACvM7SY0zPfMjuzxEBoy9p0u2vJBD+7vQHrk9HnblvRYcnT2r9CE+Az4DPnLMSL59r/29A1+EvAKGZzyNGYY9GGVbvcEVp72VnZm84Q1WPVbOQDvMVLq9DHsyPdF9rz2rTvE9evw2vv6oBLwhjDi9BVvWvL6PjD3n4Y+9Vmk2vcBN5L12DbM9ZWf2vA4EiL3fcqo9XlPeu1Jm/LtbwKy9VM1GPXG9M70xvVk7uBG0vQs7Az4B3BA8BgQjPu2nkT1cF5E8yP6zvVDygDsjk9o8todXvSB25r1so0g8xdrQOyWHDj2IfXm8AO0HvQ54lT17MBw9PCOQPeXq3r0xefm95aM
xRvROCprz8Ij27SWUbvqdVjz033KS7tGmAvXw0sr0pVZY8SY0SPWdeDL3ndOw9nNsCvtSgVb3+ZW29peS+vAJ0j7uozVC8TcN9vUTr4zvMQRe8tnFtvZEqVj1wUAM9E+9gPS/f67vTmNE9EBbfvJMOuz3y61E9zYoOPdOOrbw+GOy8WqQtPd46lz2HPVg9GlJGPBgfMT0G7po92sc8PWz5D72QXoS9yo42PV04JTwJ+Oc8uoccvWiPZzvjycM83R/ovCd1Aj0ZRXG9je8YPTgxJT2Izk88Z7JyvWogXr3LZeQ8oL0WvHHOGj1nAmm8lMogvYdVsr3wAQM83MltvcqYpz1z9CQ9jjA8Pj+NPLoK7FA8f9xTvNcXhTwxGle7+jVuOqQ5WLw+4hs9yP/lvY8Ohz0ajM+7R/OdvA5uu7ymoa09jSErPTefs7xv/YK9HUt0PYF037vJrkG8CbqDvbWOtLuREr+8bTGLvILtib0zQw48UdsHvWJqhz1IK0k9XR4SvOs1mDM
zZVMU8zdZHvVxTVzxsAI292dqwPA8LYDur/4c9j7Gmvb/dAz2Otr+7jnEaPmLe7jzD1ui8eAHOu1f9VT3u8gI9tzXePWbsKb7AgWi2mKgBvmXKTj2Pi3c7m5WVPFVimDz2FO49wtUJPdlPsL3KcqK9evf+PRTBgz0vizg9u0tKvmiWLTzF9I691YS9vctawbzKoag83aTbPFvrgbu9xdI7eMbivRjw07yJiec95kqLPEWgJz3L3Km9Ph+RvS3BBbtVt489NepGPO0HWrwM1UA9HIVhPXzEFT2fHK89DFYsPfEpmbvGC+I9YYDpPJrETb1k/nq9Hz1BvY0whT0KWMA9StpPvQs8dj0fizY8doc9PdtTuTsZ/0k9D6X+vLfpJz2NkPU8fkQhvgvBpDz3NYY95fdevaqDKj3GVI28Ym0MPEHUAb3vQuk9JziFvAd0QD3axpo8HaWovffGOb4uCv89iakMvXmStD2n0x89wmP7vPUTmD1O9pM9V66xPOvkuj31erW8enM
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
L3PNzXxDs1nsK9syuvvWhXzLzlyEI9xaAFPWA8B71/C128jXInvbnkgj3dACE+f6+Xva5FDz3pKpy9yYZHvYJsHLtyBBW9HaT9PFJYrT3kidI9xDesvHXu/L0uiYS9XoFjvcjB+T3T9rQ8BHo4vUaPG72HHZe8SnKkvcTiML1GiSm9TsaIvchd8D3IipS9kFeLvXOgzLvr/Ei9f36aPdclHz7op0U8Cq0JuppJULtDjro8iebBPLycyrzWuQ29PJhRPKgcMj2X+9W8/ockvLWS77xUFgA+YhuOvWQwID1UwAK+rwNYvR/IlT2412k8Urn1vLqbuDzRTzg90Gn/PAbCwL150Mk8lEi8vYvp/T0zBA68x33rPJqqjL0GEdE8xgqaPGN7AzvS3pe7VZ6wvcFPhzznsfc7RjAwvUKzQL0J4l+9AjyAPSS4Gj2jlU49Wd3NvZ0gdL0yvbo8S7SxOK2sNb5zQaQ8ihV3vDf46bvFXj080hYAPr7HjLwyONW8qvveveDEdTM
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
p3Pf9bAL56Zue9bJFjOluqg7t6Xtu9eIQ1vttsvD3YXOU8Pvq5vYkWKL0V9Zw79zWPPdHwFT2CH849PUy1vcYJD7yQyDm9I+qQvXKjxbxKTWi9vadauzEJi7yyqa697w7SPZCwHjscd2+6ZEcOvRnZmj0fauc9bTGivUImbjwlLRk99BI8vZWBTb3ANiS92PUVPMm9Iz2cAuk9txCmvCrw5TymAee9XVG6PW6dgb1IOES9vwuWvH+kR72PMFu8bPrTvQFPQLzyeau8CtY2vSgBaT3AjsQ8SARAPBUrsTujoCM9ndaxvV3QCz7093C7u0S0u9G8Kj29daK9sZYlvbF6670eopy9zNjpPHXYJz3ZI4O9clkXOrEpGbws6fM9q3TSvbzU2zxrfrM7tIQWPawXp71opGq9B+TIvWwEMbwx0UY9SUL/vM7aJTsVbpu9bBMwPJufXj36WIW94ppDPMd9X70ifKa7bTWvvGb51rzpavy98hTSvSEvAzx87k+9ISwWO/TK87M
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
RMPkqORLyCU828AKNlvVuHmj2CL9a99icLvdq+wz2A8SC85aPQvcTyIj6owqg9Q1MHPjQ927xqoxE+nfTSvdGUI73VV5o8UbFmvSjHkb1db5S8FyTNvGYPmrrWwBq81JN2vaIUUT0+ab491i5SveBEtLtGhJm9KZbZPJ23xj0oiqU8K9kKvtxnAjyfWzI8/GL6PQAOK76FvIc9qo76vZVqiz5/Utu8+7wzPnrCkb1FSgM9Dc6UvRnRbj1UFg++wXAoPVtSDz6kG3K8bG47vYM7Jz706dA9G5DsPVYNjr03IFA+oCkqvtTZA7wxHHS7HOTBO0RSlb0LgfQ6eXlwPGLapj0qgM28KVbhu7Rkpz1vOQQ93gvMvR+1Gj3u9au9X4Y0u6dtMD2YDoY9C1guvg63PD29fei8zmxFPXE6H77rIA09LCuovY5xAT6dumC9/wIwPtN1zruoP4M92EGHvWVLST1B0hi+nJ5tt+hndD3IJ+Y8/awxvd+9/D3TJK89/CVjPR8N6bM
0+fq89tlwavsrx+ryKYj496lNwO+bRRr2jqhM8xqsZvc2gdz15i+88foVxvUx53z3s0zU9f6D0vR4yZrvibda8OMlRPExocz1jRw8+qJofvRz1ZbyzJZK800/JPLpBrLwWM7g98/3qPMIO0D3r4Cy9jNDzPVO/DjwCD8E9hsGfvb8mMjxlNCm86AXOPP4Y3z140Xm9MSCbO1O13j2f5KQ90UkOPES7673GbuG8YVS+vG7CRT2OFtc8w4ITPK8bH7zamvE8ATuQPGKMGr0BUSY9WE9KPIDr8j1qI5G9K00qvoGuWLxVu1m9jCyUvCwhbD1EKCk9Jc6wvNJBNb2DoTY8QNiivNhyr70P/oQ8k/AYvE71Qz12AB29Sf+nPfUE1j1uCeg9DfrfvBz1sTzn+y+8yMklvXmJgz2eV0K9el6KPWjtwT1PiTc9PSh7vBlvdb0VZSi9xR+2PIbyUD3USLe7IU84vbHms7zSlYa7wBHUvFMJQL2QhoA9bUm4vQWh5T1xJOS7jtM
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
X5vG77fD3nJZi9MxaLPUAO3Tsd9PK9s5ovvZyVNr4UDu68ZHeCvDieCrwo0si98QNOvZ6ovD3GChM+aduivUWrJL2CzTE+L3VTvZ35JL45G029v87RvYhsGbz5Ddo8MpxJvXrfbTky512+m2lcPvt05zzLnW69YUqFvWEVFD0oBZi91Yr5vSmiSTwYbgC+KyqNvf4oXTymzE69DyFGPPDv4726M2Y9NBozvbgtHD2ncmO9F0Ozu4eJ7ztEPSS9K3rqvLIG7r0mJ6M8qngXvZZK1rxMNv27WKSRvZAZ8j0ekI88d8cZvocP9rwilww+bpXJvenJl71qs+y8BCwYuzzHYT13lWg9L/iEveyEIb17izG+e0diPupGnrzaH4a9UBWXvegqrjrj/ZO9qsiAvZpVE7uULwG+EdkpvRJTgrwHjj29Lo4yPU0yAL40OLU90Si0vG9oGT3tuby8mq6qPeBZF702bAC9M0F4vbRmzr3c2rI8YZWJPeo4JjyzUJm9IBKhvYBtnjM
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
2L9bI8H6bxPCYdoz0wE2e8brGfPQ/9hr16A9U904LgvF7CXbpauwC9Njgyvatv0jwIWtc92vsQva3PBDyyY9C8p4zoPamZM73lj6I91L6ZvKe++LxHKlS9wL0tvN1D/r17Xe48l5hZPKQrxbzECnm9KhLfPMwWl7pkyeY8rnBkOw0Xij1RF/w8WEXIvRWHujs/Oki9I6d5vGX1bL1FMi289YWAPf1K87xz5Ga9IY0qO7wXnT3z6ck7pmOovNCLJz3eRIQ8W+w4PCzfAr02ADG9F71xvbrKW71NJ5M8Wa0dvXfunjxifgS8xuXEPaBYUr1jE5U8E8vMPDdk+Dzvmew8+LnzvCJxOr2imwK9iqpTvepfFLzdE6G91fiMvAedHT0/a6W8E1Y7vK9QJbv/JjW9KpECvr40mTwjqSC82POXPIH3sr163Am9nRaJPD+Z5jy2B2u9+HIjPWomVD3Ljs48U6tyvVZMG73oWo89072kPbgGB73f1n89x9I0vWcMrTzQGLw9UjM
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
0gQLw9hWmyuxICfL3+5l+9x/SavNoaxbznL0G8FaYIPYzzlLsgzgy9WnymPG5SPj3iRCm7TEfyPEPPID0p5Qy7pQh/vaiWajspnQs9M+PIPWElhb1GC4K9cx+fPUu0DTzGYoi9iOKXPW5WtD11F1C8NCGYPVSRE72o9WK9ZW8SPHwOmb2dWwO9mJ/evaGLljw7npE96TaNPeo8gr0AkgI8/G6XPX8Ukjx2hmg9PhyPPH3NlL1WC5m82Y7BO9HVBr2nAni9JBogu4b/wrueMxU92l0mu0jy7jyq07Q8IqVYPePAjbzVJlQ9+YT9vXfBYruNOr06pR6GPYEahL1Bo5i9HHYRvMF7DL17qbm8MUdcPQkDGj77C0Q9KYAJPf/R77ze71+9C/w8Pa6WsbwPXJC8TYAQviCuZb14jVE9KJVXPYDuGb0Rkjg9bz+2PUfWhLzikOg9NQHsPNVfxr337Zg8zS+WvFGGDD2cpuO8piMGuww2Pj0ZFIS88yJdPcXGST1Ow7g8sKM
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
7qySq+ZWlZPifPiL55lHY9UvtRvnzt5j7Ilbe+H568PnnOEz644CI+p84ZPplTuz17v7o+x4jBPiEeor7Z26M9B/IzPkwQTb0BnY0+zbLcvZ/RnL3fX18+JjHFPXd1TLw5vok+dL1HvfPHbz75RsQ+0sfUviDWnz1gK+o9qNjkPgXz/DwOhjg/wJv8PN6vKL4MiBG/J6IEPwuAer5/pc0+AmKwvm6Wlj22eM++Z6shv3O8pTt4cBG/7Od8PtuQar5qmXe8PfvfPq5K5z6LMlY+ki1DPUGlO7+A9kO+sjEIP0RbAL+t1wK+HBGfPqNYGb9fcbU+elYjPiNL6b55N/g9i4ZYPoQiQr6lgOq+39XevmSj0b5Pibu+y881P/LMFj8WFYg+xFuUPiTAV74QEmI+AJebPKNhIr361R++", "training_traits": {"structure_gen": "Triangle", "n_layers": 2, "max_nodes": 14, "activation_fuM
nc": "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.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCM
ycle))[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,50,y,M
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{totalNeM
urons: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(){returnM
 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{constructM
or(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.strokeStyle=c,M
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.length-1M
]),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{xLeft:t,yM
Top: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;r<a;+M
+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(102.499,199.2,100.899,222.5,92.799,M
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(453.9,307.5,438.099,289.5,428.699,268.2)M
,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(0,0,500,500)M
,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(66.4,376.3M
,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.bezierVM
ertex(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(438.5,125.8,455.1,157.3,449,188.7),e.M
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),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(),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(64.9,294.7,67.3,295.799,69.5,296.9),M
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(71.9,201.299,72.7,198.1,70.8,19M
2.399),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(183.1,162,178.299,148.2,168.399,136.M
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(195.1,80.599,196,76.M
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(243.2,99.799,243.1,105.899,243.1,112.099),e.M
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(243.2,148.399,243.2,151.599,243.2,M
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(297.7,358M
.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(256.9,334.8M
,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(265.1,149,264.4,1M
49.3,263.5,149.6),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(317.4,79.7,317.8,79,318.1,7M
8.4),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(330.6,1M
75.7,330.7,174,330.9,172.3),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(400,292.4,398.9,292.5,397M
.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.bezierVeM
rtex(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(149.6,247.299,150.1,246.399M
,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.bezieM
rVertex(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(158.3,265.9,139.9,279.7,M
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(122.99,360.2,125.799,357M
.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(209.499,301.5,208.199,303.M
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(346.3,280.6,332M
.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.bezierVertM
ex(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(338.199,258M
,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(350.7,374.2,352,373.5,35M
3.4,372.8),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),e.beziM
erVertex(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.bezierM
Vertex(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}function M
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&&11!=n?eM
+"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.n;++eM
)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[e][i],M
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}forward(M
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!=thisM
.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=Array(tM
his.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":returM
n 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 G(s,oM
[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.height=thisM
.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.elt.stylM
e.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._pInstM
.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.levels[0]+M
","+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>0?(thiM
s.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._events[eM
]=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");returM
n 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 r&&r(eM
)})),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,t){thiM
s.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\//.test(e.tM
ype)||"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="202";let aeM
,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,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){M
let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$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.training_traM
its),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","#2E2E2E"]M
,["#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","#d5c2ac",M
"#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("#inputUplM
oad"),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}function Cn()M
{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,ct,$e)M
,ie($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===yr()&&(M
"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.style(M
"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("TrebuM
chet 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):2==FtM
?(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.visual.M
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(...Se.sliM
ce(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,De=[];M
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.push(ft[M
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 $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.lenM
gth;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn()M
{const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$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.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=[];for(M
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++){fM
or(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,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.backgroM
und(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$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/2,ae/8M
,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.background(255)M
,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]=Hn(e,i)M
;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(Fe),fr(M
[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("Trebuchet MSM
"),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 belongs tM
o",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('"PERPENDICULAR M
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,heighM
t/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.`),i=2==PM
e?"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/2+305*M
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.textWidth(" M
"+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.textWidth(" "+M
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.noStrM
oke(),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:","1:"+TM
e],["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][0],rM
,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.textStyleM
(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.text("GROM
WING",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 e=i[iM
.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){let nM
=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)}function mr(eM
,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){i=`HeM
y ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of GrowingM
 both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are M
dying, and my intelligence is decreasing over time.")}else 4==e?i=`${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())},save4KCanvasAtCurM
rentTime=()=>{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],["Squared",M
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
 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:e.visM
ual.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":"7bL
6042c8ff63a205","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
{"type":"btcdomain","name":"nicole.btc","first_owner":"bc1p42cgztkz6jsu2xr2nne2neuq2vtay2l9kpf0w8jwtffkaew93llsmh68k6","createDate":1681184616697,"registerDate":1681184616697,"expireDate":1712720616697,"img_url":"https://btcdomains.io/images/domain/nicole.jpeg","sig":"30440220319946c42218bff02a1eccd78be2536069b53ec0109fbf4fea0692a673208c2902202608737a9ac123ee0cc56db6d9b5ffcd362349a94515316976f02fe4964f649b"}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/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_123", "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": 13, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 12, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 10, "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": 3, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "jDqKPfuQ3Lwq9zw9W+PyvEgJWr1W+pO9OLEJPI79aD2iYNO8yx8svSeqY73dcKE9YufXPCvHjj254qs8xYMcPcqsLL3Tv+y7ZFErvcLeXb0Mknc9/1+MPRSnpT1ETFK93W3ZvQg41TywGGM9L3ZNvVz0U716rVq9KhQTvZqYNr3m+IA9fjDsPMhLk7x5l6q7cFjGPcG4B7238oU9hZ6RPQNiBT0n3AY9WhXauqvkDj2F0ZG8+hSVvPFYQD0eg/M7pZaeu+kGybylboI9bPVZO5eOtT1COwg93yyqPFNFb7w8YAu9p3M4uxYTOjzmNIEM
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
919tIPDMF+j0bGhS9gHLgva0X5LyGD5I8u/wHve4LMr2MCOy9ZMnxvLqKKDyo6BY+fbFePZWOMz2h6oG94kKoPYmsPT2JLtA8abaTPGHh/TxSwp48xa+avHmBcz2c3rq9NL8BvYY3jT13MgI9ly/ivVru8rwlHR49XCHHPNH9Az0EOIa6F3XqPCNrQL0eWsG99loqPCYOaLybQsE9LZ6lPXBZUj0DGE69JSkWvr0VRrvm0Ya9N7lGvW11JrzIEK+9T1WdvapsI72CDzc+LHjEPcLtezz9JNA8a3hwPaqM/TyFVSk9aYUdvPucJj0cFHG8u4A6vYoEmLxCJgW9APZePdMnxTzvUmA8uBkuvf848Dw51Ig9s/pbPD5yGT2y6aQ7kdpOvMPbn7yofw29wEsEvA7Tgb03mOU9SkSBPRhw+D3pk+i6cSMVvmm3Vb0u9Y+9ZPRrvYxdFL0aXZS9YY1zum6wI71dDQo+I5XFPTLGHDwZM788mdvDPcX9vLrU8Ea8RWVDvNDM
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
7HptVvPSBlT31tw49aSRHvPc1cb2FBR29kbo7vSxDlb2aJJi9fKanuhjnJbues7w90jGvvISFBT2eO4c8corDPR2YHr2a5/c8QCCVvM5rAz1zybu8H/QgPFUmLzxcAVy9E8sbvLqbKz3p0Qa93l6GvdLoKr0/DyM91lETPVhOpzwJW6Y9y22wPG8RnTxMeR+9QEUCNcSJkb2qBJI8qpGFPa7qfD3+j0y8Db6jvXgOTr1cR669oASgPMRhn73PsbS8or6vve1XzbwfLPM9rKDnPJFqVT1mOFm7JvUrPYU2Bry4DQg8u7Cxu2h30rs76kA9yCO/POA7+jzEybe9gzYtvdj2JzoUp+M8vrDbu5vuFr3/eMo7zSUjOwO0gbzfZKS8iMgfPb+8Lr3uDoG9u9bYvGeWor0J7sM8V6nCPBWgpz1cl7+8VZkxvtkVGT0aJRE9KmRwvXDb1jyAsVm9N4AAvTBXorxTqPs9m08EPWguA70L0HO8526zPafUMj0bZr46XlCPPC3M
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
bfj1trnk9p8rkvH12Yz1iiiu8xOYHPXKrhTx7USq9JOgSvQIUIzz9vyY9vimLPUYDCz0goks90vWCPRFcLr3e2DY6WZERPVWCfLylc3o94htGPU+UID0itwy9HW/svajBTDx2GCS9TzsyvV+8DrzbvZ292qU0vbSo6LxpPxQ+LL6DPOOeKL3GIIc7YDMqO79YC7yRUSc9ex1SvZ5/dTvnBJK8KOVIPM9fbD2dmGi9liyYPIG5fzvGO4m861KAvRTm27oNQ5w8NzGpPf/JCj2WxBC8W2a5PL7JMb1uzWC9ZrAHPcJVgTyZ4Vs9bm2+PDoDOj2pofC6eQCOvYKjQ70YW5a8B/e+PJb+F727pYS9IJZWveiYfr3AhCA+7hm8PMhaPL2bcxq9Qtb5PBDEhTyYtjE9mQdlvEvEZzsOxFK7s0MFvbh9HD0tS9i80RQfPXfIW7s8Gvk8xJurvdZ4DT0Z6Vk9wTXrPFeeM7uDQlo9nkvKPC8nEb2bwZm9FgrjvEgSLr1+ppQM
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
9CEidu2mstz3jE2+621m6vQVYX7wSV1k72tFoODsEL731KKK8SIIpvdWyBj3jCrY9DJqLPIf6obyREWm9FgjrPASSID25w8w9MDqnPOZCnzz3kpA9aAmSPHR4Pj2Dpwm94FElvf6m2zyiMNE8D67AvQgcRz3/s1M86JxAPCpzEzzcZE49NjFEPQ1hTr1KAyM7/jidPSjVdTwUv0W8avBBPWskCD5epWm9lNNqvZprGD1o2fe8LV1Yvf4PBb3yEJy9kaMKvV2fXrsb5iY+FuUEvRuej7vJwN28OFCRPS9nCT0El7c9M9HSPLamFj3sjCo92IKQPNQh0bzP/my9zNLkOyHg5LvVg0O9k0a9vZbNIr2DiFo9nvC0PBqnWDxSiEu9G/kSPSIRvLygT068OvuaPVN5ib0fjjQ901AOvHtytD0G9jC9j/z1vQQ/Fj1mclS8a7OlvWGSyrsLWgK9rg7gurPVyTzKwww+YVywPDMKHb38osO8sx7rPQlNez1BR2I8VkcVvULM
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
8WQnXO1k5Bz6mvWC9aHgOvue5fr1oDIu95hGsvXtHnjvupqy8c8p9PNOHBjzcfwo+r+dXPSIslTwIlgw9610uPM0CCz1+AlC9x3C6vEH0uzzwOnc8v98IPaZ1OrwviIC9b3UqvX5jJLxSwL28hR9lvYJ06DySFII9dPQaPUu4qD3kVT47ohayPTT7RbyM4Bs9BCQHPfIGpTtjwmM8U2c8PZmU6T326V08TW2Yvea1vjstocO8z3p2vSw2Ib1b+7+9tlQOvcLLF73IAvo9dRWkuZR7N7yqa5E9ok6cPAZHC7zJZiC86J65O7F07bzKC6g9TNboPO9LWj13+KY89tuJPGraNz3E2g09qynIvMd0uTwOty89LA6LPT2yvD1bWRY94fdMPTrdfrys2CG9ZzSrPbxTYbx4Q3g8duXivFSCCj6/f4m8XbjyvDrH5zwKElA9Uau5vRxAEr0a4FK9lmbavCJsWzwES9o9emdnvHMC0Lxpx3g9sgL6PIFtSD23bdU9nrceOixM
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
9pbrjvHAJsTz48oU8DiKDvalMTzxXTSU9VygwvXAQUjzsS0s8iXH4vA5E77w5XYw9Sn1XvC/gBrsWaFK9Md7LPfV0jj0Qgyg9SFbLvPksrDwK+OU8zwgYPYWzEb0juKK8N8CavCGqaTxvM928AcDHO520Az2+hD89LJkMPVhyIj0BpQY9B6iiPQVsPT3RFCy9CcehOxo6gb2Pgw29VVFKvcr7iD3eb4q8z8WqvLEFXL2ug287wdFlvaqFVrwv81O9Y5lLPOjZj7ygcZw9m4fBu64onL2SIzw9wvuBPVOMUzx7cgG82VIVPdrURT2ybjK661JvO11kDD1VDxa9M8ypvB1LozwIlkC9QLLrvEAJyzz8Nrs8f9wLPbi9fj2CFJm7B84lPWBxQ71+/wq95C6bPVkoVLzAKNq8+ygIvXTozz1xJRO9HsxtvQqM27w36ma8YyM+vDqOVL2UsUK8T2NavJGeGT2HF/o9E9iku9/Tqb20Ex28wfI/PMGicbwHd249EpVgvHCM
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
+QD2sPaf4vD0fI707jJIIvifrDL0uXb24w/KJvXY2DL2yfoK9GFCEvZIC1Lwg5Yw97dINPtcMXDy1nmG9edkyPRq+2jzhUQG80DqRPDTBQj0It2Y8QBUEPfv41jrr8OS9L8S+vBVhID2eVyM9rHiXvfRJWjvqDki7nQGFvH8XmDyiY7u7Ix6KPbEzaL0Z24C8nQQhPUPcZ70Jxt89HVWYPHEClj1KXDW9wuHFvSPXGb18o4e9VMl8vd6cFb22hcC9ACx3vIG5Kb2YUx8+4jawPXzzljz8j0m8xMyxPYKnO70kbMc8X6NGu4VQHj2CLs4854JPPZk5V7xCqqa92YhXPIJspD0D8fq8xC7Kvd/W1ry1qUa8qer+PJDQ1zvAbJq8Sl5CPE07/7xhWXW90DXvO63ksb2jjHQ9at+zPdxznj12+rG9hSw9voDTkr0s7bG9awkEvaeOs70SEW69CfIMuhXS77xQEco9R+zZPWH8VLwG3M28PIrtO2WB3jzG2aq7KBrAOw8M
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
9npDIPTDEoz3Xyw+9MDaJN1KZrL2V47c8ceUFu/a+gbyIRWA9Op40Pdyggb2Lwo89NfI+O0iuc7pHLiK9Dv5QPNQEAL3Pg5q96eo7PZ8kf70nxgQ9GSEoPeCHj7xW7Ku9V+SWPUwr3zz3W5I6Ip1MvZGrSD3g6vs9iWOsOzC5Nz19Q9G8gIbKPIGBaz3ELiS9PNqTvYdCIr1q7FG8b3aDPedPuT0mT289sawHvfkiTj0M4y49BAGWvSuQHr1ceMw8RzHYvBZ2ILtxt4A8xgnmO1W6k7zHZcq8hTxfPcylAruJYoS6bfYIPVut8Dywcwo9GUuAPUtIsb1iGby8q74+O6B61TwOeWY8R+9dvdKTqD3tfbo9IzwAPUTMxjwWzfk8i2ptPS2vLL3Wvaq9i2vTvB91Lb1UrH67/Ednu2LHDz6zIcI83IPNvcmNXj1M2Yg8NFoGPGoGX7yYAr27JYAnva9KBL2Uqd89cDnLvJAjy7xUHqs9bNLNPdRn7zxBUgY9qRMjvfSM
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
QBb3T/l09LVMfvdQBODy+79y93okzvc/xiT0ejUG9BacEvQIfHr0OWhA9zHr0PNppCT0Zq2Q9eIkTPKs2hb22EVK9zfB+PWFrobzF0vw8zFG9PPCsoT1416W84ScHvvQNr72Hhou9xUfivO8hw7wZaIW9BFeqvTqiW7lDew0+WAIePb5k8bwGXYc8SM2UPai9B71kt2O8PxiyuzZBXT3XrL68Z66xvLasZD2pPI29iLWIu7ToPD381ge9n/tqvUQ6Lb0DwIg9I0GwvH9k1TzIyoA7lwgBPYf0QzsKbYw7N77aPDg2S72CyyU93FAVvdMhgT0yooO9QsILvrWe/7xxlDy9wLaeu0Qur7wBIra94Wc0PL3bnr1INRg+c9kcPb4A/LzeS469WjNFPTZ8oLp1HiC7SXRQvcimpbwK4S09PCgjPakf2bvVEIO97DQXPSYZ2DxMxQS9zU/lvXikOLu1Wn09nHypO0UTij1xzZA8bD/HO4HAEL1Wo1C9pcs8vc0Uab2FE6wM
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
SFj5w9Em9q1jBPJs8HL3nwXW8z/VvvVwV+LwC6tM7OJ3jvWfc+b2Ojuy9DAASvlTopb2Y6ZS8r5JmvXP7tT3Sd4Q9tnvGvd4f/TxzsFI7u+GLPVqhjr0DRw09IZQnPU8ouTzRNIY9rtt0u2nyLj2cLLc9PLg5vCQxkb1m/wm+pt0hvaPlZrx6Pba8z+t7vTr0Ib2O5oa9RDbAvaqGAj6gI0m9d9vMvFGE073ak0i9KMtNvNlzBz4aMKU9eF3xvfm+1r0Pxym8fhwMvk1pEL6fq2E9CNCWvELGyzyiH9o8g/sUvtxVjj0keB48c0MvPVzvCL4eB1U6SdjsPQkuvLzKtz480Jo3vTMZET0h9QS865aYPFbdTr18zaq9UkMAOgkHtjyblNy8RRtDvUSMOLyb0aS9YSZ9PWE+4rwrvwU+rjtCvtXfUL0kqLk8VdkEPqtuNz1o5Wg8yfBvvOOh6jq2CsA9zuwEPX0dpLyY/Za9L8+PPQDLn714J8q82X6IvZ1/jj2KSUMM
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
9jp4rPaaO2zzoEFA945EhPkduMLyl6tk9YVkwvqnPHDrk38W9N0esvLyNaD2XWOo9OXFvvYor3TtsNp89LrcEPgvfEj5kplc9KQEdu+2L3L3eyB29bj8QvW63pr2B1cm9rfDCPILjhDw3S+K7JgEWvXWYy73eO3A9bKb0vR7Ki73WYz2+05fbu7W5vzzD9Xo8DyrjvaoUSb38U446KDH7u5zlxz0LBfa8x72Mu88Ni7154gW82dUOvszIqL1KTHo7fzH5vCzqbLy37em6MgSTu4VGkjuaH+A8fTHNO0TMrz1eWJC9jRFOPMLAf72FWH09BkCyPXzhorubhZO9IBOOPGcpAL3X1U+84UAFPbBIdL06jqU90EYavT4Fezo+3bC9ADLSvI6wGzwH+e09mDN8veVtEz1Uag69DcRKve1Q5D2uukq9Q8wsvWL8k72gLM47kKmovSwVxLx4uo89LMkHvIEUQD2TZ+M8YwW1vaE+sr3Bq5M96gzqPFbvszz5h6A8iGRcPTUM
U2712v3k9xQKjPetHEz3F9fO8wz8yPdOXTTvmeV+9HVI2u2hqPryZp9g9HIVKPA/tlzy/8Xa9qYITPda2AT22Gue8AXk/PawmMD2JCIe9X8obPaot1T10lRK8P1IRvfa+Fbt+MUi8vcARvjD3JL3ohPw6hcq8O53quTwfze49TFHvvPhaOjzUIfM7QVakPWU7srszcQ49tnUvPD3Zyb2Wvxc9YU9PPYYWDb3gq8685JPMPGZR3DzmC+C8a90CvY/0q7w8Xes9bnYePX48lj0ZEH67DSKBPcfOA71hyqu7AyKzPOrnwjzDUJu86TwmPUZa1T1EuKM8VYSovR9WIzsLAMW67WL7vDTBJrvSzQG84BgDPBrJmzzwZgM+REAePQ8EUT2eXOE8XJkUPhyBsT0lSmc9TFNSPVm7jLyb7wM8HRQfPZmlrr2JRWm98wA0vQ8baDwCBRk9Yua7vdpXtTyEmgE+88BnPfAZ7D0dc+48Ci9bPYirDb0FQZO9Bcw5PQndvbpYk+4M
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
9Rwdnve4Kcz0jLAe9kU2FvUu4m73Ys3W9ixkUvU0nLb1DCJ+9OPloPWb7y7v2Vg4+xlkbvEh397w9pCE9E/cXO9sFBj0HpgO9I9JYvbLg3Tz6JBy9EsjbPM0YzjxiqwS+O2fSvMEcWD3nvnW9+v4DvkvmwryHE2w8G/qKPRZwqT1wkzu9l7WQPZMKfLxKEVU7/W1VPYCrCr0+pIU8XCSpvWyAGD6FfHy9/fdVvXS6ZTyFXSq9YCL5vYx65DtdK4O9BcCmPNBaXbxThNM917+1PIrEa7owFbs8mI7HPYQrubuEfwK8XVRPPdTq27ziHrQ88O/TvEPdBrwy9r+9zWJcvEIWn7yB+zK94Ky2vbhuBL1LjJY9BqnCPf9bRz1vuf28c3pQPSK1xr0a6ku91BWNO0D4aTzjt2u87K4SvcgXAT7U/1u9i++WO9XrBj3j5U89DE0VPfVcAz22ZM69izO3O9/rMT0KvKk92JNqvOCdmLyQ5iG7B0G+PTrAdz08a6w9FUmNPQnM
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
AIT2cgoQ95a+WvRf1Pjz8jOw9MLhKPM0LjL22MnO97ARfvDnN7ry8qoE89rctvSs+6L0lQ5k9hXlDPJvDhDyHlDe9q6ilOnWAsz16+ve7QYWOvYvcjjvpk8k9rT4EPt9xWj02CHg9ObmmvEFH5D1701Y81icdvcbQDTye9V48DfWqOWBTBL1E0tY73VpJvCnJnbz1/C49UuymvdKB4jxpV3i8PSJePFlVfLueiLg61+SBvKZr/rt74ai7McPwPGsnaL3uUXw7QcKhvSJXSb032S0+IwFtvdiChrq22LG93lyovP1tCDxfqqc9c4aHvQveo72gEpw9/uwIPtjQcT1MtL27Ge9tPeeYGj3IMIY7nU0DvLJvjz0EK2S9vr4XPV5VRz19YO860MSBvRhzwjxq74M9BAs5PK9aZjvPf628gx5xvYwe9rzgLro86javvdE+LLzAxyE8NTltPbk5qL1mgIa9+naBO0kW2rwcC0I9jLFmPfaJnL3II7y9qb8IPFlFXD2Da4sM
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
8ptPUOik2Xj1jjnm9bh80vSpleb0OclO8WpUOvXC3Aj2SrI09ViVKPXtHg7zqt8Q8eputvNXGAT10eLC8sZywPMdUhz3nQyQ82ycYPQZW3L211wc9LvqrPa3qYD1gmoe8pywPPYnPPzwonQU8yenXPBLsyzp2bcs9DV7IOxr65DyRBhO+ELDBPaS2yzwdKYI9zqpNvPpgjrmpX2u98+99PP/weD3CQG881QUWvf6V+7yF9c491YkTvkVYw7w2qmm8Z4U8O8QdhDysZ0c9y0FGvM41QL1qlJQ9WqaTPRUj4zsKzEc9LGv4PFc6JL280V48FC28Pe0kjr2OD3G9mcwCPb5Iqjs07hK8PWh3vc33j724ExU+cLfQPW4x3T2zBZw6RJagPJXcibyQ5ZM7r89wPS/UWzyBBQ28BezBvGohJz7K+KU89hrBvSS6MLyrKHq8ZZmkvVyJNjhHA7q9SyY9PAX91zwpN7c9npdtPe6cjDvZ1ZM94nu0PUK/N7uW/BI9IXigPTdM
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
9rCakOt4M8D0GBs68lfXpvWR5UbyhZrm9pLpBvfzU4buClhm9IM7XPCJQYbzW3wE9Yph7PfRzLr3+Aks7Xt1RO8UkAL0qLSA9DUqQPBqlrr2da0w9lvhRPVaAKT3k/eW9i02OPCBmLTqsweW6BsWNPAvr1Lwxjiw9bvSWPPFF7z3TaPW9oowBPhoygbuPWdi7WD6cPaaO0TvCNKq8M+PiPAXQHj7U1k25Fj6ZvRKcTrxxBNS8bJygvSLsP7wxocS9I00fvQFMIT28Adg9dh3tusTjd70Ovao8ZAdaPVyZVj3QcCY9pSglvF2mfLqXMVo8cwd4PRjtYj1F7Ce+KWaVvOhwQz0H9yE7uz0Evhh0hby/Kgw9AVC/PHH8zDzmH2K9lMUbPUN4Or1j2iw7gSFGu351jLwhtXs9F84DvTFXjT2Ip6q7ldDrvSEqgLxK+AG9jE6CvfaonbxTwo+9cHeCvEQMAr3yI589bpQDPDkrwr0dT9E8aTSFPI2mpTxgJyq9RQzuvXFM
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
uFj7XENc7fp4kvtpWlD2suYI9E1qmPIF4zr0yrmu9WKw6Pehg8Tw6RG47oAGWPXuAdLypLhA+epdhvffdkL3DS3M9y0j8vHCZQT3tkRC8zQiUvUlLMj3XX9Y8FsgDPsY1nD16Sac811wcPh/PGL0DGjU8hdUivTIdtDyuhR29K0UmPUcRRb26X0u9f1fwvN6ZHb2wxoa9fUrVPZFQtr0cv8Q9B8PsvR3VBT4omTM+eBnOPVxSYL5+BZ07jPD9PVkqlru5BTg74mKXuzTmdL1vt8K9tdFLPURt77t5Jvk9nRcMvawtCT5Rz8q9LWCGPd4BCj2NkEQ9ei3wPUNIBz7H4QI+4Y90vYWWxj2Gjj68zLLnPetk9Tsc1u28wq6ovbjTCTwtmyI9q9lKuo1tMT3pSIE9JFsrvrC3KrvAdty9WQ9lPaq4pz2N77Q8+9iYvE5ktL2ly0I9K3TRPFkEWr4Vg9C9PI4tvpC/IL781LC99ZeEvYlLAj6p5gM+3i6RvX7WSrlBaLaM
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
mbzyzMi49yeWCPWWSHL0AUI69gKIxPG9NBL3TGpm8riphvZOmrL1k/I49N4IEPb0tDjr++YO9JEq5PNmBH72Liac8W/bcPOX7o7yTr2E9S1O0O97nlz0q/jq9HPRovaa5Ur28/Wi9l9aCvQ47orznKa28WDyVvNHbyTy66gs9uLq4PLqWED0+B3O9gQlvvDi8tLuMeoa8AGFdPQbQWb00Wi49JRkAPVpyvT0swLq9Irr0vHpEBTvPipK7hJijvQpprTzfQyY9EUq0PctUtT3WVYe9zFwgPXKH5rsDrhQ9KGUxPRRGyLpajc+8diXPPHr34j2DIIo8VXGUvYoNJby1xBK8DtZ+vQ2XyL1PBRq9R8ruPCh5GT1COwI+pQJrPf0S3rzziuc88XVnPV79Vj2mCAe8j/tJvaGDHrz8cI481F3Nu3tDuTxTBBu+CRC5POu1Trw874m95MmRvR+u5bz8Hhc92JtMvXdKCDwrkX291zwgu/Ek8TwMQGS6pt3gvKjLvr1B6QUM
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
9+KxXPSe06zzD6Aw+Wla3Pfn0QD4lk5c7jgPwPM68wLz5Mci7kMaZvbY4Ej0UBbs8UWObvIuXAj6XxOG86F2SPZ+/lT3iOjE9G902PuGx8L3++y89FSTovcRpjT3wrhg+v7zSPTQqB77HRpg8iDwHPlJ0BT7Byqk7SEn9PXPDCD3nKaE7SQ6XPKj5AT0Fqio94pNnu3hE5Tweyo69SZ9HvGR2uj3NUQs+DN4OPU1IEj5iDeo9xTZkPBPFeLxyeg++qx0CPdZ7Mj2W8bw8RqFEvWoTtjwEAUM9CzcFPfQMAT3724Q8icNOPDUXur2c1YK9RTyAvTsNQL0UjDk8tjjRPBYvuD3WNCA+tHnRO9eICT3I1eE8aX8PvRZt4r3/+qY98YXWvSD3Vz1qSAG9ER8mvn7dmj3mDwY+6OItPvHZdLsFLDM84m+zPPVxKr1idqg7jb2BPOuUHL5Y5Om9zxNSvULo2b3r9qm9HbdaPnanVj7DXkE7B4UVvcGoIDwMpaC9XxxzOh6M
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
+p+9aPqHyvDzvYyE9SHFtvfDYGbpotZs9oBsWvdnWor1TUw29tVDBvUaJYb1GAGS9QtQ5PsF8Gj76QwU8YQnnvX+VYr3eCNm9ycKGPKPEe7yQRSi8TXievKfaQL1g2Jo9dc+ju4jMxT3e0Rg9MlMRvGIGdb3D93a8JOAMPMzZn71l5Hc6QeGnvYWi7T2ymiu9zB+fvU/X6jyewl49fkXAPew3hDyhWUk67EUDvYCWXD0LdJA9kglZPSsSFr20kMO9hvOfvWwoXb1//4W9h2s6PhO4Bz5OVU29eLoYvlIFCr3kfG88BjdAvXi5x7359rW8xGgtPk64uT3V9hw94l8LvfbhYL23/B6+EQMKPes/v72j0Y691JIOve6qDL144iW+dcLivM1pUD5PDUU+c89YvQfwCj1fsga+ZrMKvtTmmT3VG0A8gXSMvXZvKD2qB5C8IHkMvqNA9TxAGaA9rLA2PiiNmz0hoGC9YKwNvoUdFL4plsA9ntG4vIb0Gr0eY3O7AcYtvhQM
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
8X1Syux+A6TycmFG8JcIHvQ8A/rxeCBC9FDl5PY+RqL3QoFs9Pvl5POMYk73zdZS82F7UPNtSkLty6im9FY67vWi8er0OaMG8qF7HvQ0SMD4VnTS98kgcvSBZ17yUpT6+jJKYvC9cuz1nRK89KkqbvXBADb0thIS8x+2IvVsxlLy6/R4+0V+IvX0gqLsIPgm929u5vSeaFb5ROpA8FUxePWQYkjvtcYS9oncXOoKJVbzbJcq9U2iaPe5/or0Umps91v3aPDCfv72IJNO9BfgBPQ5n6D0/Cki96saJvTih0L1D25+9xHz0PFx4zzvrITu8/IrfvQ35Qz24lgI8B7i4PKO4bTxzqbu81ODdvHnV7jxGldg9ZsdEPSIesrxSCKk9FiIZPXuQTb3c08Q8rN00vFeqqb1CIsY879q0vMuM0bwiyGI7S7aOPT3cCj1Iqx49fDtbPbkovTwWLzg9aCslvSm3azsCcSe937gBPY4Clj267JO7ovBWvWbcszxECxo9YqtEPQSM
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
HIL1AIzm9BCmSvMoqOL3ckb+8xd/TvIvuBb1/+sw7ayravD/Ah71I9S28KRq7vKU6cjuC1WK9LPYOPfIAqjt7/1M8FiLQuy3Imjx+8Ac8gx/oPKhSZD06GoS99Z1AvSVlMz0b44K82YYqvQpQFj1vS688MJMfvcHVTj2rHU89nZmgvYs7i7usx5c9hpQyu+yjkbzEw5M9eLKrvdJh4zvBlMK9RMPiPH55cr2ojKm9lqcivsRglz1ngeo9nzSIvT+JHr5CxoS9GTXYvQyrTLyrDQ29YQC0vcJZhD0LXpe93F6pvIekcr2rUsI9OZfwOxEhDr3ogae9e4ZovSN827sVXDS9Lg3NvJ9jUL19uwg9AMMuvZTxxjxzECm9qBkAvdYAHD0ufOY7bqYtPPa4Ar1gBL+8Tb/5vIwCO72dY3K9kusWO2okGr2y/Ie9so+yvSoYAD0GItE9zO29vcqV1r20aPm9kp1zvXj2F71eWAm8Dgegvbw/Zz1E1IS8Xj+MvWrX9b0E1QIM
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
8og9BvRcNuj0zyDC8VvWiusgaoDwYAuO9nlmaPQf//bxPnji8JTGAPTK1xr2aDd88QOgTvDnyW71kOIu917OqPB2PEL3oK1C9U6BavDVcLT0IUJQ6XWLdvVcglD0+3IS9A7ItPVBZBL2xxb29YLtbvbHzMj0NvSm6zYSAPdnAqLwSVY89l+hpPShMsL3qFTI8lxYBPSj5nL2hRLG97lbrvTAsSj3inAM9pvTtO3TlADyGq4C9GuXOPSXUib2UFJW7HxvOPK+Ufb37dic7nWQ2PGx6vr0hGAG8yKIEvc6ycTxsSoa9KIy3vb3/Mz6yq5e9LG+YvQJh0T1yTnq90tEvvZhDcL0DGeo7bKy1vaDWpLyuHg09tCL2vN/9Jr142tU9zTGwvLKci7uFmwY9qBx6vbln/r1NnVE8rGiZvVSmwbw8MJW9/2bmu5OEMb20XBi+1NA9PlCCH76WLjY9h03FPOoZy70jVje9Xi4lPFzP/LuyP5q9Dol0vbbRnr1XObq8dQfYvSCM
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
+K68LPvW4jL36KJy9rfK3vT2Jtb15J467AZQqPBitqb1E6Ds9njjGvB8JgbxzbJQ6YVxMPuQEOj5Zk/+8wu+8OgaTUL0YB/O5RKbvvD1fW70Q7BW9cMxfvUk/Jb7LwOc7y43SvFG5Sz5Zdsc9cHK0vT07VL3tOJo8F18fvc4Wxb31fOI9Qv8AvutNcz0/DlK+jo4YvnZfDLxrSFc+j/gDPtgxQL0oWvG9rPT5vdzGR72w8Je9N4vQPVRM3L1SrKG98IMBvXufAL0sTgU9xyyQPds9Hz4FQYc8PRliPVrw3Dyxarg8CdWSOh3GBLzWhoA6DpwhPC4B2L2e+WI7VTUUvar09z1idhM+GYVyvfGZcb0ne4492H0ePBDFBL5EWxc+MwGivVoIP7v/LSO+wLysvSOzsTxGaDs+cW0fPjoeS72LGYq9t0GGvcDMrbwbaJE8228DPleGiL0Yoae972KGvarXfz0dh5683P4XPkyNoj1UvVa93ZHSPSajsD2j9909xXEWPSpM
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
cqrxkIxk8tZyhvXdH8TvZ41M9stW8PO+iSLw1IWw9ydervDQcsjyfG+E9SRSUPYxGOL0vzkI9T2IRvDcxZb3t1Qw8zLrYvBRaoT2qRAo7JuCNPVZ3CD0HB409XHdePU44Xj19vqa998WAPedIgb0HT+48ZmSnvPeWVzyUsx68KO8UvRkFQD0PQsy9evxiPM72az06KcK8/XrHPPuLMb2bHGm9Kg1wvTSprr2sMps8OglbPJfYPr0EM8U9liy/vDCaeryDzNA4GNM5Pes3Uz1GsTa9xCYdPbEDAL38oCm9jAHru9aCz7stPao8o49PPd3gVLwOokI9rnGqPXDcDzymYzO962L8PMvym73Cyxo8+ZYLvUre07xTO3C9hn0wPG9raT3RQAK9VNE9PEaMlj0D+za8XKfAu53LIDycFXS9LqGFvbsLsb0gIMA6H2qcvOHA4DyrjrY9CXGivRfrULzFzHO7kF5nvWOTa7xOxLC8VBSOPYLDezxUla29g/ChvDmVJz0RsXUM
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
MFb4qCtQ89AzyvSZSDj2dT+c9JBxHPbNkWr3WEE88/5qSvFvQeT0QSRY+8NAIPT1Qoj3piIq9IXUgPfy1lb1RjB69u75pPcWcNTw0eoG9PvpkvHB/wj1jkpQ9sA4EPpV5gz243g+9Y9pcvUKv/LzROeA8+FU+vVz2TT2GNzu9XWM+vWqOQzxIphg9WreTPdpHlz3U7B09+i/LO3Xhkb2UVDM9ijL1vSfwRzxheKc9VVw8PROluDoA97I9Go/VOtscGT23GFs9KzaWPdRg0Tu2a1C9kYcHPZ00qL1LGdy8QU5vPYWSJb2QdrO829HLvNcoMD1U8TQ98/fJPZF2wD3gH5u9+83IPNOMrrxMhU88dToKvWcvoj3FBkm9U8mwvIQ1ujz3XLK8TnkFPUEXLT1MIhg9nFCDPNqTYL1w7Je9w+3jvZqMkL3HjJA98DEHvUCmBTx4DNU7cx6PvRC1HD10o0U9B1yAPTjHfblLDmm8YRrouwSi6rwCeni968faPIRMdj0AiXUM
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
gGT6eNH48dY4evfarzTxJP7C9eKIYvRxDuLzAnZ+94DhRPEfjLD0MdQw8GbCKPahqsT1cufA9S010PdeWqb11SgU97IJ7PSommr1wRtS9SnDFvUvTbj17uWG8sFMrPdgCKzsQIEe9tXkiPvyulb2QXv689DMQPZEdH7253AU8MDHcO6mvarw93kM7J3B1PBOnM701WGO9h7zvO6yTnz3oZu48qwQXvaF+XT2Amxu9uMWfPFPsubys2ce9n0lRPS+PMryOzMc8mBSyPAZ/Xz0dis09+D0kPc4yXb3gKmY8s2NmPLyekr3H/tK8HTylvdhpoD202XS8H7C4PNq6hDxp7jU6DJBhPjgkUr19xf+8C7USPRRKnrtva2M7I5vtvVkiDL46bIE9sOvZPTe+P73YKXc9K70iPVmFxT04mbi8VF9YvZCKRD3h8xW9wytQPcklhb0DEeG9L/yMPZQGBD0h4vU9VxjVPd43PD1huBY+z7kGPckUdjuqyEG80BiYu5SKKr22Y1GM
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
ArTzuyti8FHVDvWp6nD1HNYO9zGV9uz/r4rugix29R82dvCSeuTtVE0A9RnzLvWs0BDxPFTk98ZxaPfzExLwXkyM9uu2GvJEkF77NVz29pgzDvUM/6D0eMga9G9HSPD5eOr2E7uS9qoOGPTshBL3uFgg+/df/vNBEVL0mZpy9yqlNvSyLKb2UMqa96yzCvUqxh71JVum9OnMHvlDnJry1OpW9mI1vvde6vz0EzSm+/Y0vO71JfDwEzQ49gIcIvfPyD74cggy84ZozvqGxU70Gl6y9cCd8vT00dj1P7gS94S2evYbPzb3iDqw8mbQKO8jOaTw+jgy+mX0ovR8YNb7IKRe+AVN/PWpXib0imOI9GqgVPbh18r18/Y69y0zXPGgflr0GOWK9tJrovfg6Hb5pGAS+rD8kvovUezyVo729S2CavLMxyjzNDrm9qUK6vBllvT1YGKo9dXJ/vWIkhr0NHMW94VNEvia0v7z9s7K86TydvXoFKj2p/5a6+R2Jva0cx73ooIYM
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
/FTS3PrZLS75a5yA+egU8vtqTv77HFgI/s0+yPsIFzryKxzG/tas2v40elr4PoJQ9QcICvwfPzD1PaGa/fPi/vYg9zT7Nkce8G/fHPXLroD38PjI+b8k2v3bfWj9Tlmi+faq3PSBTHr9/rSw/lSu7PlZDR78M8r2+/r8QP3G3pjsjiZA+ojSTvlhelz6oOC4/kRFdPsUOoL4tXR4//BU4PVWinb046w4+p914v4Hcjb8APra8YwxevxCvbL5t828/AAAAANRw3T0A5w0/QLwnvljH0j5cv28/qr26PX4VRT77U4a/bk6rv7Fcw75DiLy/FBuTP8HOmD8=", "training_traits": {"structure_gen": "Triangle", "n_layers": 8, "max_nodes": 13, "activation_func": "ReLU", "epoch_num": 4}, "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="124";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":"7b6042d9df003fd8","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
text/plain;charset=utf-8
text/plain;charset=utf-8
6{ "p": "sns", "op": "reg", "name": "Findagrave.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/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_246", "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": 4, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 16, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "/Ss4vTVGs7zI+6M9RvlMPRAJET3yEQ29OAWLvQQ+h7yIr2G9QOK3vTyJrj0Vj9o91BqLPdm6ub0VxQ2+6Cu9vNKnFr212Ke97heqvCfWPz2Jqyg9HGrjPPZFtr1NRL878weTvUTrnb3vIXA9TWtM
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
n06W9jUXRvBL4Z73OJ4W8eoFCPRyurLyEm0C9wuaqu0RU5bzOdmK8Yjrwu1r4hTj/O4Y8cumAunBTybx7bnK9zhaIPY26mT1JB6W9jeBVvRFRnD0DLnu9DWXIPfX90bqX8xi9imi2PFHsHj2m10u8AdxCvZb+pj1jJpW9qBCrvL6iLz2uYXK9slmQvPqA2rwR2aG8MQ0zPKlfnL23CiS9BM5nPea1A72yKh88TU8avUvOrTzc+4M8rzZWPSKTgL2rhtg7VIanvbW9Bz1h+x48Id4kO/XJtz1b4v28qm0WvZEG9TsV9Ky8PKLJvLA43DzvSC49pmmOPUlrZr20qzi+qgZFPTLaDL2A1FK9GAZkvNY3HT3xaP48/gCGvMUZzL0y/L89TR6WPCxUbL2lITE8ruQ6vU6YqTyoEI88gvYyvewkUz2eD/U8YFTwvNjvpjwhshq7xPivPJgfnjwqaz29YC/YO9cYzry0U469lx8Uvev56TyT/vC8K2lRPVzo571l9we8oF8M
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
OvcejGT2zdZU8HecXvSCKrTyYe6m6MV+qvS06Sju3+Dc9ZcITu2t5tT2HXga8llvSPEMV8bpMI2q9YsZBvQTIkjxa0gM9uXqkPTikubx2WyG8mOyHvewpartUF6s8435FPK0317vd2a09jjcTvEbCvjza4ic9zS6SvMBWWjxk8Ba8r11YPfB1pj1o9x29fnN0PUlNlT2+4XW8b8qZvUMYEj3OlGq9IInBPRsQET1MGFy9nj6vu6/tJb3Hc4C9VI+bvb0gLzx+QNU9SsKHvfgvu7xR7pQ7Ad+fvKORiL0UC/c8ADaSPDQoDD6Wc4m9/ULFPLC2Ebh1+MC9oYAVvjLXbD07iZq8+T/gPb5RxDyHX5O9xvt+vJRBXr29/uQ8UVmzvNfRj7z52uY9icqUvOQdKj1RXuY8Pi0BvWsSDTrSOME8OpvWu/9oEj0UNmG8/gWgPRSNET0k/ie90qWNvSyOiTyBUYW9PlB+PXZjKjx/M6W9rJl9vaewqrz60j88TgSkPMfyprxM
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
Vvd4PMr3QqhK9eeAWvfoHPD1OTgs9TqKVPZ4cjbqLL7M8X96RuwE8J7zop9y84cmMvGrwkLvhxho9dWxZPXHYGT3r/7K9KGlHPPigSr152Za8CGUOvcpr2DzSt5W9B2QMvUtGODzkDYw68sD6PIpMcD11i8o7aoTQO96Zw7xNqE29+nz5PDrNe7ycPuG8ASkjvRExejxdq2k9do9uvcksQDt9qH+9WgMCvafKi70tQic9gEN9PbIkmjyfPIC9p/uZvMLtfLy/5yu94AX1uzqduz024Uc91cd2PTkmSL1vGQW+cm9hPErQtTsRjZw8oJxXPOcgqDygwuw8LP00vZIC87zFNAy9q7JRva0wyTvtSls9gVcEPZbJaT1Do5S98BI6vV01JT0Uzvy9/iNBPbgL8T0RHJQ926dnPWsBpr0G2we+TxZlPQ+v4r3eDtk7GwVtPZVL6Dz9n+E9a0tbuzirr72ecHO8lxK+vTQxt7sgMcc9Chr0ugah7jwfcVi9csgZvfwTQj3M
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
LGu082GWtvTmofb0FIig7YLKUvYacDj1FjOA9RmKkvHtcNTxUgcW9nTPVvDo09zyxF8O9je49OwL1KL3s6ZU939phu5k6qb3WjV69Ew4GPZNbLr5O77U9MQa+PYy9TLy+1a88sKvivGiiob0JLEC9F2PJvZNl6T3lzNK7fLEZPCbN/Dx8Xo299jykvOIdMb3givW8A6SCPXAzTzybjKm9s0t9vd2pvb1OkFK9d+XVPDEGWDztHy89FtmBvQaoa70bUce8rn8vvregA72a3RE+AMZxvdhvebx71Qq8RqsNvruCCr2LkgK+wdiKvTZ5AT7a4SS9fjSDvWkmZ70jQgy+WPyyveBLzL1XL3c8PWdIParGgTwa7+m8qyUCvkLZ7L1+m+W9bwZdvJvjsjyY0LQ936SfPb3syjsSZrK9c2TdvdENIr31PWe9JWhgvDjEyz1LYQM9NzhkvIHw471OFui95Q0qvUKcJz01azU87B5LvWevaz2turg8hn3Su71NkD1y4We9GzaM
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
lvcrISb6NLbo+LGbDvZ36qL5zxbE+6nOuPgWmWL6Oox4+lSYiPSB9gL6rKzi+pbtePr2rWL6A/Ek9oqCAPTPlur5O4uO9yL/6vajKJr5IXA8+UUXpPLC94z28XVi97I2bvspZ2L1QP0g+0iD+O4pdUb6m/6I+x131PUxDgr72GZo8ssvzPfG0pr5xSUa+j39ZPuOmqL59DCe9OrRBPlEmlr7COpU9c5U3vtrgib2P4gQ+wQZYvrkGjr2Zjvs9MwSTvk71iTyto6g9AqgMPgkUwb1a3D8+l0oMvtFU670LsOy8L7szPvZBg77MRXq9mgwhPpb1g74BLeS9zthwPuqIPr5/5AU+I+uPvj1XUz0C7VU+SfB8vgrzhb4VYGE+TcA4vozvxz2Pd1G+UPPzPcrvWD6dmxG+EbadvkQdjDyQksG9PhNoPaZrgb22GP49M8sSvK3F870eeDu+nOgGPkQDmT20hm89NBGNveaKID68t/M8WdE7vnDoWb4SVDU+LRyCPW3FST7M
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
YH5w8nkhQvaw8dr0KcR29kM4YvXXuAr1niKo9M37DvNjSHD2Fic29Yc6DvYT2MryQTJm8PCssvV0nEz7mc1g9GQKQOLHEyrydFSC+1yfzvM7nWD1owDI8mCgCvk1oKD2csqM9VqBEPG5VgD2Uyx+98XokvA54b72MDzS9WLdsvd+viz2JmHE84NKLvUQ/Xz2MiJI9eDFUu0Q6ZzxSXPM8W4RYPT30Ub1ABdq9WdWevfcWrD3zvBY9bTPZvQchAD0OMki8OaOFvDslED2ASjW+l6SUPUn/Uz1qvoO9+mfDPK9eh73nyka9UX0OPN/I5r3D8vg9OOrIPROyjrwXzAc+avasvUHv+bwEH3e8bnIAvhvuNb6+b1q9WJQDPuQ+Cj3gtiA+lUW5vIf/Fb4eFem92zsyvl0CFL6TZJE+iK5GvZ0cab0yvIS8G9x2vslcajw0Ow6+Ps2HvQ2qdD6WoIO9tzV4PdFczD1+iFe+RAJOvfb+KT58qoE9NaKOvubX+j1bsOY8BGOM
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
NYjO+MCI1PkAJYb2hWXi8EwAXPVPDoj1qvPQ8jWV7PCeOtb274nE992izPcctsj2D7KS9VfMsPlOPIL6UFBK+7n4su3MN1r3/rpQ9HxsFPUXpN75Hm3o+xldgvpFj4L0QQtM8YalOvuESpD2cVFU+cBkrvjzOKz39EYI9BVGFPSqf9b3sm6M9X8wcvXrqrbxsR3E9Y4YCPqNcvL18ZwO96iUEPn71pLzvhfy9F+m2PBOII74xSm8+T7kvvmT5GLwx/I08rbVnvoHM9ryi/mA+itO2vcG/rz0lawE+JGoOPn54ur2cqA498DK0vTd00zshUx89CC+QPg/kLL5K00C+PeZUPlZeM74QQ5Q9KGr7PaM0hL5U4L8+y/Q1vo28AL5wW5s9GFR0vk+cDT7XHpM+JLMQvo2ZBD5esck8Gjd9u+KM+b3ZPQQ9fuBoPS/sGz64FgE7Kn6GPjT4eL7SAG++1vFHPuzy1b2e6v09nAq7PVfvg76E5MM+XBRJvpxcj77xpkM9oKCM
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
vnR8+hef5PTNh1b1jYaa9wFArPdBJNTwOR9m8eLawvbUsf701mD8+GWccviQpbbwsd8o9ga07vkXqi70kSgA+K63JvePHhL2FXgw+ee0BPhak5b3hK0Y+W+RCvvusfrz7AJ87y0vmPBwRZr6l+ju++38uPkN3cL2ou+Y9RWuxPOn9wL1C8h8+BCgZvnhHUb1l7Eo+7NEWvqjuWjwDTKk9EEtvviFcEz0wvJC7uPsCvUe1ID6EbN09J6qcvU1HSjyMlb+94mEFvS7oTb41qSW+hb8/PtS/2DxjIoY9bRJ6vY5AyL0t/be8xaA2vr7vv7udVD4+i+SVvJAj1ryJDNi9uy4kvhcUFr1/9UK9BdJHPI5PHz69YL49IdKxvXx6A71MImi+DkaCvtdXQL0OJuw9foM2vSG/eT5799+98iROvvb7wjw++Zy+M/wUPlYDYj79V6e9ww60PmSDXL4l85u+WvAAPCjpgb3XoZI8HPOyPWmW2T2H2SI+RNL0vcA1Gr6V9t+9UmsM
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
bvckz/DzF/Na9DKeVvXAg1j3mGmG9qt2fvFxp4DyccJi9PR7FPatVtbrXbgS5k0vfPZsaAb6xy5W8Iu0JPbXT5b2zMFI9aj/qvajS0bzPh9Q9xxObvQ3zXD2oO7U9+Iw/PMdIIz041bC9oUgrPDn4BT4BOS29rxsOOrCyvD3dQd+8Ix+gPY4Kjb1wC4q9iLQKPq7AqL3Nqhi9AatSPTeEy70xzLo9RMb3vBPrMb16BC09uxlKvcWM0rw7mh49XmODPGLBlD3EzoS90O2EPXKx4jwyfGW89dKXvZ6RVj0ITE492jBRvIdqGj0zJqU91KjdPZSWfjySrri91v/Cvb1H8zuppno8M385vA7orz3v5p28QFtRPVE53L1kmsi8tI3cPQWuNz2EGdC8P/YBPl++jjysCMO8C2g7vsRWiTsQYJ89z1l3vTyO6j2s46w9CiEVvSBhJj4Wz9+9t8OxvWWk/j16Prw8vvtQOwkozj16bzC7hP+9PdRp373m85G9bwPOPZQXdz1M
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
NzJc+9/TvPJQUlb26TgY9ePqfvYz2hb72KIW9ChLdvOh4wT7vm5a9J6MIPbtPUj0ovdY9wvMgvpYN/b2wRrY9C7iOPqdCSL1SuBO8sH/3vN/xHj3fpju+Jlo4vf+mnL0lNWw+FYLwPCMzOb2lCnq9nMQxPUHFSb5eQg2+/oIZO87bij7m0a29KRhVPWKFFL19GCw+kirAvQAoUr6wT6Q9qR89PkhuDb28f9I962mjPEvb9byyGPC9EFWiulvqlbyQ/ck9orwvvdJ+E73KY8698P10Pcqv1r1IZxq+2hA0Pf8uDD42j669L8TYPeUWnbzcrTo+q2RlvU44qL0MxSQ+XCzYPWTjN7028S89ZiziumjWODsSlw2+g2BUPaPm57y/knM9FcBDPPbUWDvhvyC99OgmO4q0Gb6fmMa9QsnfvH3dGz6EIj697qI+PEkq6DyYY+89mPk0vGK7j73+T1Q9jKsIPgki5Lzq/LW8jLm/PHkBIL3dnU++eWMXPN/PU70V8ZA+MMeM
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
KQhO62kEBvAxtbrwmo4I9Rx8+PTiXDL4FiZc7vsQ8vNup6j1be0Q9RZewvdacYT4uY949xSQhvqzdGj7Ycda98S+AvZBOPz6HoE+8JULsPcaZzT3dBwW+j2SVPTc5iLtrDJA8KC4UPmpW57zoVOA9ZDEaPkNCU75ZQrI9QnnFvSWP3z25nAw+6xa0vYqYLT4KNgs+/xU2vnA3FD6SDai98k9qvaSsLz4GvvS8gMcXPj2OLj27mAC+IvkFPj0Xpb0a5HW9hFwLPoDGmb2au489QA8GPtrZJr6GtMg9gjvQvUtflT1qntM9ob73vd5/1D0Wj4s9teEkviqS6z3Il1G5GDuVvdxnDD4PIL+9w1WuPT8aybwUoAC+fd2EPSA0ej2Pywq9s6moPYLcIr0yZwM8a5ZNPNsrhr0vX9Q9o+mVPJLisbuIn409PeEYvneK+D3Qnfw71Dj7vTw6/D0vwt499BLcvCanYT14mZS9o7IFvP+x973IOeO9t2OhPf41wz3Mfqq9ijPM
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
fvRNqwDxMJxA+DOhHPSf8qj2J9pU9AlApO/5bHr7pq6y9IG+tvZoUHz7TUlE9CFCIPeS+6D3HriW9NClcPC27G71nGCG9WgcSPq09Ibv6KOk9U8cIPHAGFzxo/SC9dJ+pvZ7Wb703dUc+pATVOxtbeT0aEOQ7Dww6PbGi8b3VgKe9v9S1vNQjBT5rhus9BnJrPamowT0TU0U9eusqOzX80L1efn+9Da44PYJ4GjxrG9c9Z45+PHhXP7zkz7287eisvQVFxbxp0hc+jpbLPPBUcT0XO5s9lAc0PXy2n71XfKC9/iMAvtmWDz7LoLI9RiqpPYgdTj2EEG29z9OTPRifAL2dOSC9RXZhPctSozw0ung94bBDPeIqJ7w6kJw87RV5vKi68LzOPzY++Nh3u1FmUbvV1f08GkSvPfso4r10SiS9Hv8TvUxC4j3vBKs9XG5mPUc6Gj482I69tfu1PPRKZb2Cl8K7tRH5PQ3ZXrwvBHM9Pg6XPcRX1jw13YW90ZXqvAmwOjyM
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
kh7y9zSpBPvA9Fj26aDC+rxPiPdsCIb6aqYY9uLdAPk04ULy7EZA+zfjaveJoa76q6jM+szCUvgltYT4PBmw+Iw3oveOcHj6RPwm+SfOlvcvIwDvhEFy+zdN3PThVQj58jIK9nMoTPhkbXTxqA6q96P2BPcu/Lb5ELI09vnJcPqMvn7zcApw+EUzwvRMlZ74vwBs+ZzqVvo5VQD6tVpI+cMTGvY2eaj425wO+uYYQvmocpD2dqoO+c0yDPZHScz4Q+Ki8pJ1SPuwelzuG5z6+Q4TSPYUhQ77uaTU+i8ZvPmfq27zhBXw+3VnwvQgxab5NsJs974VpvoxYLD7uFZM+UMLrvZ5iRD6RBIW9vJcRvhlYjTz+sl2+w38CPuBaRT6lQgU9L1ztPclKST27/zm+Tau0PZW9qr3EUx0+hdJbPrxB7r3g63M+4VXNvTkoWr7Ugc895pQ2vsfTTT5gG1c+XmbVvajfOj4PrOm9Wt0gvij8GT3wMki+wezEPHLmZT4FxcS8d1oM
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
9PS02C75boSw+1qwaPvvUD74jefg9iN2IOhUD871kM4a8oAxQveh8WD4gRyw+CgPEva9opD2rIXu9m8EQvY9PMztl+wG+uBnIPfUtoz0hoFu8XztQPmZmHL7OV46+NZlSPr3NMr5FEok+J1v7PcsOa74bz0o+xTr+vTUCHL6hOdo93ezcvfzvVj5W4FU+2CMGvmQtzzyL7AC9nB6UvSqQJz3dhxS+YIkKPso5RT6cAKu8Vh0LvTy7Q75ivgC+/awlPplH+rzTKEA+wGhlvYT1TL45XoW9Hw/ZvbhwGrx4i8A9J/7bPHkEKT7n8Z28M93bvUDUxbvEGYq9Rz+NvECeJz3j8Js9JrSaPa5nJ7wIhwS9kF9LP4uU4j1u1j+/VjSUvUYAh7/LNmE/kJaQP48HhD6Ai4e/BrQhP84TFUCtXai//yeqP/bACsDGCX2+7i/6vXYkOz9vCNS/aoiJv2nu7T93TX6/s2MpQITzHD+TRK4/Ma7CP+ONP78Fnuy/Cp0RP67fLL/M
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
aP4Jaw78Y5bo+zFjPv47sar9farY/YQJrPyhGWj8WVym/pj9kvy7Dy7/CarK/I8nPPrLxVj1pyFM/AokXP34yCMDRYCc+I7CEPzIOFj8VGti/bhIyPs3IE7/Z8KK/OrSnPyrYWb4d4N69jzXVv+jMZz6tiqi+VIDRPpxwmD/5Fqu/91rNv2e/h79vra2+gWa2P+omrr6trb0/S6WDvzfBgb+/5Jg/3E/Dv0V/JD+ksu8+HPA8Puyoyr7JxwjAcWiavsed1z90Zo2+JJG7P0xZj7+HTzi/pi5UP1M4iD/ZVXi/s6Qpv6hwy7/ePHe/55C2P7nfub3sJaM8u00lvuM07rxMkR0+", "training_traits": {"structure_gen": "Random", "n_layers": 3, "max_nodes": 16, "activation_func": "Sigmoid", "epoch_num": 8}, "classes_name": ["Cryptoadz", "CryptopunksM
", "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*1e3,thisM
.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,0,1)):nM
<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.getNeuronsLifeM
(),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.size/7:0}uM
pdate(){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,this.anM
gV=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.globalAlM
pha=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-1])*(e==M
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;(min(o.M
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(0,0,500,5M
00),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(33.2,33M
1.7,24.5,337.5,26.599,364.1),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(449.7,146.M
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(433.7,384.1,433.3,3M
93.7,430.8,402.7),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(33.5,350.4,25.3,313.2,41.8,282.4)M
,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(202.7,9.1,213.1,7.2,2M
23.8,8.8),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(469,219M
.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(246.2,460.3M
,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(77.699,119.6,85.399,114.8,94,111.5),M
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(364.3,41.3,370.5,45.5,376.9,49M
.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(184.3,473.2),M
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.bezierVertex(89M
.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.bezierVerteM
x(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.bezierVerM
tex(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(190.1,64.799,184.1,58.499,175.6,53.299),e.M
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(235.7,116.4M
99,235,116.299,234.4,115.99),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(243.2,254.199,243.2,330,M
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(299.8,357.3,300.6,357.1,301.2,3M
56.8),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(256.9,260.3,256.9,222.3,256.8,185M
),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.bezierVertM
ex(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.bezierVertex(325.3M
,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(331.1,169.8,331.4,167.3,332,1M
64.7),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.bezierVertM
ex(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(419.5,400.2,403M
,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(150.6,244.299,150.5,243.299,150.5,242.7),M
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(172.1,2M
25.499,184.1,220.899,193.5,212.599),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.vertex(M
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(130.499,356.8,131.499,356.8,132.599,356M
.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(202.199,304.9,200.99,305,199.799,305.2),M
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(321.6,253.9,320.4,250.2,319.2,246.7),M
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(375.3,171.8,377.9,1M
69.5,381.3,169.5),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(360.199,267.6,361.599,267.7M
,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(354.099,372.4,354.7,372.1,355.299,371.7),e.verM
tex(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.bezierVertex(371M
.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.bezierVertex(3M
30,434.7,327.5,437,323.9,437),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){let r=0;M
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{constructor(eM
,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}static linearM
=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_binary_op(e,tM
,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{constructor(){M
}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.totalNeuronsM
.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.min(n[eM
]-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.linear}}fM
unction 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 W(e[0],fM
,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:this.elt.oM
ffsetLeft,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{width:thiM
s.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)this.elt.gM
etContext("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===t){if(M
-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?parseFloat(this.eM
lt.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");return n.M
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),r.addEvM
entListener("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!==argumeM
nts[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],this.subtyM
pe=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).readAsText(e);M
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="247";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,CeM
,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,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,tM
),Xe=createGraphics(e,t),$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 PromiseM
.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"],["#1118M
22","#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","#77c4d9",M
"#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)&&cn==VeM
-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,loadIM
mage(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=(ae/2+M
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"!==key&M
&"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(width/M
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),Je.stM
roke(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.inputDim,KtM
=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=_r.finM
dIndex((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;t<Ie[eM
].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++)if(1M
==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 e=0;e<M
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 $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,M
r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rnM
=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$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;e<inpuM
tNodes;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}for(letM
 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.slice(eM
,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,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTEM
R,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$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,ae/16M
,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.textStyle(BOLM
D),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+1][a]M
),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,t,7*n/M
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.noStrM
oke(),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 this imaM
ge 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(example)M
;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("INTELLIGEM
NCE 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 decayM
 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.textWiM
dth('"'+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(a[e])M
;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++)a=a+" M
"+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("PERCEPTM
RON 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 REBIRM
THS:",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.text(M
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",width/2M
+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/2+5*leM
):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){let n=e.M
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)}functiM
on 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,t,!0)M
,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 detecM
t ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. MM
y recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} M
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,t)),rM
=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",70],M
["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 e=0;eM
<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,"Hardware AcceM
leration":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":"7b6034333dd35497","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7Ka0a2aaee641a","si":100}' crossorigin="anonymous"></script>
text/plain;charset=utf-8
text/plain;charset=utf-8
text/plain;charset=utf-8
text/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":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
text/plain;charset=utf-8
3{"p":"brc-20","op":"mint","tick":"PSBT","amt":"50"}h!
((((((((((((((((((((((((((((((((((((((((((((((((((
%&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz
&'()*56789:CDEFGHIJSTUVWXYM
6j4ion:9.QmWkKe6yAQUviwRoYLHzhNkYt74sbZQsoNeYfV15cKZ9Yz
text/plain;charset=utf-8
+{"p":"sns","op":"reg","name":"bear.unisat"}h!
text/plain;charset=utf-8
-{"p":"sns","op":"reg","name":"badman.unisat"}h!
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
6{"p":"brc-20","op":"mint","tick":"wang","amt":"10000"}h!
DjB=:BNB.BNB:bnb1krpq28ht05sfc0qg80aydckw8yekjkhq6njh7k:13537417:te:0
FjDOUT:7C564582F3C4A6D67E1E8059DDA89F5F2066C62E06FC73F5ACC2722EA8A2D2BC
text/plain;charset=utf-8
<svg xmlns="http://www.w3.org/2000/svg" version="1.2" viewBox="0 0 24 24"><rect x="8" y="5" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="9" y="5" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="10" y="5" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="11" y="5" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="12" y="5" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="13" M
y="5" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="14" y="5" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="15" y="5" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="7" y="6" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="8" y="6" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="9" y="6" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="10" yM
="6" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="11" y="6" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="12" y="6" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="13" y="6" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="14" y="6" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="15" y="6" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="16"M
 y="6" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="6" y="7" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="7" y="7" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="8" y="7" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="9" y="7" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="10" y="7" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="11" yM
="7" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="12" y="7" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="13" y="7" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="14" y="7" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="15" y="7" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="16" y="7" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="2" M
y="8" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="3" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="4" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="5" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="6" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#142c7cff"/><rect x="7" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="8" y="8M
" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="9" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="10" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="11" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="12" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="13" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="14" y="M
8" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="15" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="16" y="8" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="3" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="4" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="5" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#142c7cff"/><rect x="6" y="9"M
 width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="9" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="10" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="11" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="12" y="9" M
width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="13" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="14" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#1637a4ff"/><rect x="15" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="16" y="9" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="3" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="4" y="10M
" width="1" height="1" shape-rendering="crispEdges" fill="#142c7cff"/><rect x="6" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="9" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="10" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="11" yM
="10" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="12" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="13" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="14" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="15" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="16" y="10" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect M
x="3" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#1a43c8ff"/><rect x="6" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="8" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="9" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#80dbdaff"/><rect x="10" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#80dbdaff"/><reM
ct x="11" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="12" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="13" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="14" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#80dbdaff"/><rect x="15" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#80dbdaff"/><rect x="16" y="11" width="1" height="1" shape-rendering="crispEdges" fill="#000000M
ff"/><rect x="5" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="6" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="7" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="9" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#80dbdaff"/><rect x="10" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#80dM
bdaff"/><rect x="11" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="12" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="13" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="14" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#80dbdaff"/><rect x="15" y="12" width="1" height="1" shape-rendering="crispEdges" fill="#80dbdaff"/><rect x="16" y="12" width="1" height="1" shape-rendering="crispEdges" fiM
ll="#000000ff"/><rect x="5" y="13" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="6" y="13" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="7" y="13" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="13" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="9" y="13" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="10" y="13" width="1" height="1" shape-rendering="crispEdges"M
 fill="#000000ff"/><rect x="11" y="13" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="12" y="13" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="13" y="13" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="14" y="13" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="15" y="13" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="16" y="13" width="1" height="1" shape-rendering="criM
spEdges" fill="#000000ff"/><rect x="5" y="14" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="6" y="14" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="14" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="14" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="9" y="14" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="10" y="14" width="1" height="1" shape-rendering="M
crispEdges" fill="#856f56ff"/><rect x="11" y="14" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="12" y="14" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="13" y="14" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="14" y="14" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="15" y="14" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="16" y="14" width="1" height="1" shape-renM
dering="crispEdges" fill="#000000ff"/><rect x="6" y="15" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="15" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="15" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="9" y="15" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="10" y="15" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="11" y="15" width="1" height="1" shapeM
-rendering="crispEdges" fill="#000000ff"/><rect x="12" y="15" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="13" y="15" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="14" y="15" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="15" y="15" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="16" y="15" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="6" y="16" width="1" height="1M
" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="16" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="16" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="9" y="16" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="10" y="16" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="11" y="16" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="12" y="16" width="1" heigM
ht="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="13" y="16" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="14" y="16" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="15" y="16" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="16" y="16" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="6" y="17" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="17" width="1M
" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="17" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="9" y="17" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="10" y="17" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="11" y="17" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="12" y="17" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="13" y="17" wiM
dth="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="14" y="17" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="15" y="17" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="16" y="17" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="6" y="18" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="18" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="1M
8" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="9" y="18" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="10" y="18" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="11" y="18" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="12" y="18" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="13" y="18" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="1M
4" y="18" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="15" y="18" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="16" y="18" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="6" y="19" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="19" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="19" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rectM
 x="9" y="19" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="10" y="19" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="11" y="19" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="12" y="19" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="13" y="19" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="14" y="19" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"M
/><rect x="15" y="19" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="16" y="19" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="6" y="20" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="20" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="20" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="9" y="20" width="1" height="1" shape-rendering="crispEdges" fill="#00000M
0ff"/><rect x="10" y="20" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="11" y="20" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="12" y="20" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="13" y="20" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="14" y="20" width="1" height="1" shape-rendering="crispEdges" fill="#856f56ff"/><rect x="15" y="20" width="1" height="1" shape-rendering="crispEdges" fillM
="#000000ff"/><rect x="6" y="21" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="21" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="21" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="9" y="21" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="10" y="21" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="11" y="21" width="1" height="1" shape-rendering="crispEdges" M
fill="#000000ff"/><rect x="12" y="21" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="13" y="21" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="14" y="21" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="6" y="22" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="22" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="22" width="1" height="1" shape-rendering="crispEdM
ges" fill="#352410ff"/><rect x="9" y="22" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="10" y="22" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="6" y="23" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/><rect x="7" y="23" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="8" y="23" width="1" height="1" shape-rendering="crispEdges" fill="#352410ff"/><rect x="9" y="23" width="1" height="1" shape-rendering="crisLxpEdges" fill="#352410ff"/><rect x="10" y="23" width="1" height="1" shape-rendering="crispEdges" fill="#000000ff"/></svg>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_321", "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": "relu"}}, {"class_name": "Dense", "config": {"units": 18, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 18, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 14, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 13, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 13, "activation": "relu"}}, {"class_name": "Dense", "confM
ig": {"units": 9, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 7, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 3, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "qSP7PAbnlr2392U9zWIlPFjI9jxEgls5JLBQvTvGpjwO30u9JyAEuwCKybwWEiS74erKvfyfvDxAK3m7U3psPVsJjT2hfGs8lR5EPJtoiT3Nc8O86ZkVPR/pAb3J64k91u8wPMZbcT2SXXy9LrsLOnWBH706yy29tLw9PPLmwz3sdtM
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
GHHz0jteu8/8MCvQaWCT4RX+274pxXu/G8Bj2x69A8iuKKPeg+FjuzK2A8Uxb/vbd8HD0p5IM9qg8SvYgn6z1fsso7NRkkPP1tBL4wpoI8/n3PuldfeLzvKBm90kW2PHwRFr3HWla7bZQhPIOUm724dKI83aewvRAReT0gn4g9wZFPPE04jT1jZXU7qHmBvPqYoT2/n5w8u06KPHAs8Lzf3we8lvBMu4F35zs4qHG8GQ8wPaPgeTu2fhO8hTtqvRArtD2DaBE+rv46PCrGpDzl24o86ScXvkrJZbxzQp89KhQjvQEcXz23a1e9BGx8PTVrij3w9n08Sd0EvUikLD36WaA9okPUvKnTWDtSBbm8RO/pvXOl7j0lnQW9PU3TvBBc4T2pTBg95K1cuWYimL2jwbs9k6GbPTNbCr3FL+08mkEHPKu4GL0HcKG8Ux8evHTgvbzV3y+8xgqgvRHGZTwbzs07PwwevSxblj05BY09yhQlPWFahT1ZSNy8mXQzPYAVmL2/hYM
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
SKLb3oMwO9GvfGPE+NVb2EOGo8TSfQvcDaiT07b6s9jjo5vA1LzLugUwK7CnQdvQ8ERj25gYY8fQzePR7mgL3od4I8ZcCIPNT9ODviz/S9ptqYPWngFTuuc+A8Awyzu0GSGz7jbRc+70CYPW/vGzy2/rg71CvhvanOdLwBulY81RdHO7nzlz0dpCO9PXVXPdfoFT4PdgC9PrPJvRfdDz6XfbM9qsZGPQqWir0tZMG8VnoSvhSe4D2N4tW8iyVvPOdqpz1M/Ym8ehs0u3dby706uRI97upEPc4HSjxNRt87BC9VvNHqFL2Ibbu88mYNPSJ75bx0Lw89jHCwvWw0RT0ujTw9ZZEqPEXZYT3BsEC8fldVPf6X0T3g/qK8gPzpPYR4JL2rDqo8EgMSPIJ8m7oIqrC9Dka/PXAFgLw0oAk9+RBDvffkCT5MqBI+CrbTPZfmQj1EDeq88ysivkm2jj1mfDM9RqUYvZ2Cuz0sw5i9k9kKPLITET5XcCG9eWqBvByWyD0+2IM
095yITvAJ9Pr0F+Aq9raQ8vmCxDj4Tnhk9XW73PD+m3D2KyUA8SZnpu1wNnb34UPw9+ymXPfLv5rzW7Lo73suLvTw9ur2f4kc9YccQPW4Ecr36sAO9FBSsvSo5XDwPXSM9Mq5JvasouTzHQUe8wtRZuoKB8TxyVGI8J91fPZHCgL1XPfg7pof2PATvd7zAG/K9X+/kPXU8CTzaZ9G8DmWSukL/Az6+bbg9eIS6PX0XeryWhj+9UvY4vsUWZbt+9PQ8F3+3vM2pDT4VwTe8uFvNPI048T1J+Hm9oWxivTvwtT3+oJk9gaM4PMQPJDycBHW9eAnevd0Mlz1guI48zG7mO8I0RzznAw283WwYPURW8r0ykOk9BWb3PGq+xDuFYTW977nquxkxOL1tIRw9jFN6PES9Lb3PWxg9o9UkvsWihT18NsA9W3AZPE/MIjs9njw9mJHtO/PZxT09Qmi9d8zsPfp3Lb0IOai9jokbvadCB70g9Zq9Ax+APVA3bD2XNjo9p4Ppu0M
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
i90xUWvQTpXb3uhWk9UbBiPZRyA71uZ0A9wwzSvSs3nj0UeFQ9X6hhvcT7jz1eADg9R0cTvd0rmD1DMy48ZkZDPb2WjDyxW329duuHvO4VOD1LgTO9Wr17PS294DwnNUo9TrC1O8kFZz1I6BQ+JZchPT/DSj0KJxq9wpBGvkyQHT1fJUk8rGJhvTR+5z3oPhG9UvstvRZ+uz080+G8ZLXavBv7Cz7G+sQ9IkAmPTCzprqHi7q9L/4fvptnlj3XQzQ9cGycPdGt4TyOrCy886FmPSHiQ7zh9RQ9rPMEPcRUAL1b4+28SkOZvbTu+Lw3rLW8S1YlPSOuGLtCsQU9k5kgvtrTADyxhBQ7Fp0AvbnzrD2Mysk8tPxfvYrnrT286Fk95B+TPYl1bbwLKoi94pnLOxNJ2Tx10YW9oQLKPdzTRj0nXam8WaF4veoe9j2eFu09ZAeAOcWNJjwBvjG9KeHEvWszRj3iFau7DDACvGTYbDzWz6S9MGJ7vNi1HD4kcXy7KCdNvfM
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
6wAL1Uweo8HP6KvQGIGb041rq80eshPUM9CL2nP0w9EhIovkUdybpZ06w8wOP9PCvUgj0+fpo8SFMvvV4LRj3EHiy9ZM+tPbDcHL0MYRS8bQ8UPeINID31RrO9/lQdPAx+Xz3ZzDu89NAwu+x0kj3Xpiw+TSgzPRG2Wbzt1C29+asBvlXQdTzSoro9pRmMvP7wkT2fkna9PHuYvGPd5j0os9a8rMWuvcyECD4amns8VHpAPYCkM7wRyp88IiMpvjkEXj2csQs9NtmZPYgibz0ihBY9qAQJPYDzar3AMtw9D3lYPaEZir0bvBY9xGSbvR3t6L1E7Ng77wlKPUqho7w4wwm9arMovroXHzyPzj49CKUtvRdvhD13KBW8JpbQPJg6Nj3yIoc8HX9aPQPAq7zJtYS9ACECPYHkIL1JJR++nNiePViTEzzWMaM8mjibu17u7j1QmjE+U/pfPSzjETrxQWg9EfhPviMgTj1MIc492+uXvHp+9z1+EXa9qJs0vRt0rD0MTqM
G9HA7YvLxidT1Bf+49IGkFvSbvPb0VL6+7qPgHvujfvT3kPO48dR5fPVNerD1zuk08i49ZPdd2Yb0ctAM9ubdqPWHMGzyo99a8y7smvNJcrL1yNcc8PhycPMc+Ar3l6UU9h4m2vbYpuTswm4Y9I7nTPMRUFbxIZg88nu8DO1pyyz3w1yy98rx9PRXnbr2rXEC9UvbKvOBITL0TiaO9YPQkPSnygD0XNX07mc1/vDRHyz1ALyc+jwGwPbKFDD0lkua7GHFOvj4NfD2YVJo9CexLveL+7z0A3as8pqKjPQPLnz0eQ9W99HzUve7Fsz04sYc9KEkpPXDrFb0vv6k65kQUvm9DhT1YxUA9npumPQa4uztrp0o9bd1NPGxwjr0ENOk9vvCyPbvgUr20GRc9EBSgvCaMKb2uYBY90tAhPfbSfDu8PSI9Kj/3vZL+0ztxWpc9qJHCvC0DaT0fA1E9SEDcPGlF4D0cR8m8Exi8PL5COL00TC87FFUiPOU6Cr1ly6i99+aAPUM
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
A9RvRcvBSbqTxs6kC7YurpvX30vLySkKq8wG+sPBu7hTwbxLE8cFHOPDL8/D1IJb88GrkoPOq6FT3JpmM94ZUsPcCoDr20DkY8+Xc5vsCavDw9z6Q9nBUWvTx9cD2Y+lq7yuMavEsXmr3GA9o9ZmrjPcrPhb1+LLy8IaM3vSx/A73zjQe8MKtFvNSqn72ucpy8XLZIvTo1Tzt3I6g8qfSOPZw+g7z7JEk8foqJvc1fYr2kKG49IeAfPfC4LT2OQVC94xypO9a4Cj14dpY8g1eqPHw1LT1jchk9Q0Y+PUWPPD69arE9dzJSPLqHMj3k5wI7kojgvdzjzzyWOks8OqR5vG0oUD2eYxO7TSyjOzjD+z1JMD+9GRw6PDCuxT2/up09sA0YPWyPqTwaU3i8JCcvvh+wbzywJAE+HxavvMVQsz39Oh+9MKh9vCaYhr3jdqw9NX2XPRZx0bwHLrW9QWk5Ou84RLtYM1W67XCUPVE3GzxYXjk8LmegvbcZnzwCZx49ftDKPUM
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
RySbxbYzO73h9oPTsFAbxpSAG9kmodvrjQGbxa8yc9v0ZqPQjARzxe56k95SAVvYackz0tPE88O6oQPVHAMrzC3ay8TYBPvYuo8zz8f9m8J5nJPKbzYjw+s8E8CsHzvPBroT2KmP49iqIlvJLSMjprCDa92BpdvQEFMD1oz4c8urGdvIEonrx1akW9XEKMPZXr7j2v5im9374OvQ7aej3Xo4A9jjeTvIW0Nbx/7oG8EDNKvh4ezz1oeKE89YkvvXVPoT3gVbY7CTgdPaYiwr0zNMY8MMPBOxUm1jyAODe9na+ou7PsC704zVe9q9QFvUMAzLy1kG87WfvgvcVrcTwjvtO8/H/OvEMlLTwgS1M97ehPPV872T1w67w8/ZJuPesRVD2cMk+8Wnmau9Bf9bz7gx69w8+ku8oWxbzR5Us9MWpWvb+XxT2Rcio+zlvRO5kxybz/lny92/bFvXux+boxB6A8mcKFvO8TnT13ete71yfEPdsfFz48hxQ7awVQO4aIhT0dbEM
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
c9vgOUvZ7+/z2BXQM+XFfvPKh75TxQxee8uLBMvklqVT39Qro9llYpvTl6AD4sDzO9HB0ivVi2wj1wjIq9x3hrvQhFhz2ewqA8eKAEvdq4XL39cnK6jIvzvf6M5j2AsIC88iEivHXAuD0bTX49O7GSPDEV7rw7g009rD3KPZq2Y7vRvAS9DYdAvfaqL7tuhle95Se7vAvJ6boJdrg9xq0FvuVIpzwwjXo9qIDwux4vLL3JAow94AttPeUMyT0jfDe9kHkAvCaAFLwv9by7ZK5bvVnY/juBLVK9Ss26PIrzWrxT9109teXyvKtwDD6HSSA+LdE4vFkmSj2mTXg8F7eXvfbq7rvDOtU8UZRSPdiykD0ilSs9y9MEvBwMBT5iPsE8mV36u9R8Kj0e2ws9wl3sPP8CzDye5b48ViEcvut/1T340m49lVv1vLcy3T2VF1E9/ABsPQ6h5b3Kucm8Kv2DPap66DzXq3W9FYYAPc3nK70k0iQ7rhhsO39sqzvix2k9ax/1vTM
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
C8irACPArpszsoz928MIKhPbu5Cj2xygK9pB9ou4tbEr2NOig9c8B6PB9DEj7gYBE+G2V/PdmOyrz8fP08anU9vYlj9buWykQ9bOYyvZ6ZrrwXjPI8ds+dPR0b1z18uRA9jHJBPIoIEb27QYE7d6sCPaRpWj28JD09sl/CvT9nJz2zkMI93a5JvPKezz3VNh+8VeRRPY4G07y0+IE9SfLaPYjKGL1yze876iwXvePeNr3197k8JOSUPM6uV72arNa8NskRvehCcz0qHmY9ZRV1PfSHGbwC1iQ8rdwKveyQg7xYaaa8gHnOPBaUyT2urYa82LgpPSeeDD2WSgk9jRc3vTDLsr1g8xg9+iqpO0gijD0QwfA9sZsJu07IMLwqOgA9nXcuvY61QDxmSGI90AGKvUb37LrfGOY8xeEdPToVnj2FeaM8xUnfvHtNsjxrPhO9Q00pPTIlJ7wu2428HEfMvSCxVD2ShyI9+ZNzPNoLhT3bsQm9X974PLY2Nr3rjYw9e9MOPuM
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
okljzNEoy93ce4vZF4w7y4Mzm8z7l7uuFGrzxy3Se8WmStPI+k0j1yWqk9QCwHu+dEc7wAUR8952CLPd4KA7wu8pY9cOpPvjjvwjzW/rk9326qPK/22j1OQ588eSUYvRz/BbrTbX+8q8LQPeZf7jxR8aO9c/U+PXRvWbx53w48ek/cvGQUX739jFQ8c5yjvRWjZD2GDJW71rHcPaW9Yjuwv8i8W2cpvMR7K72nCHo9Yu+zu8Mhoz0afyu8UuKWveup2z0FxYs8wULiO36jlDxAwoy767GRPLdOHT7u9Ws9Gw2tvANxrD0aj3A8NEYSvW7oNDznDu+8Pd4xOyryvLyekfQ9EGZ9PdzxMbz+KDY9aHQSPKimnz0jwH89OttBPWxqkD3iqlo9XkAAvvXhCr0gLak9/EkDPVEo1j1G6Zu96nq8vAU8crv34sg8hR+MPWhk9Dygxk+9vb1FPF/p87vuzBU97aKDPVEd0rxYqf68nlqAvVuQUTxAES29g/96PcJVXj1ntaM
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
U8KG6LvWjAiD0ayLs8RWKnvfzpCr3vAas64SkvPcgzgD0CfCs8AUfWvZ56iz3HZkQ90YArvdHnPzxoG+U8OjHBPCL0Kb0Xb+y8Vrj3PdsjgLy1t6e9N8cOPRBgSb0rVEm8Rm3nPB4OHj05b5w9rQYyvWOph725z2w8xIrSPb1eEDzXWzU9/sv1vNt3gzsU/6e9VGkmvRQeDD2eBle9jbDOPA5JLz1fsV08UrTFPBwEi7wMSLc9hRqXPZm0hzzyR4c9OiXXvIBAHr3aa6g7siEfPPcrazxYTB09inWIvb0Brbz6b6o9uBeqva/esD1U3XU8PldIvOjgjTzCAO88zxV5PXMTsz0ocjM9k6h1veAst7uhk1w7nsmfvGM3sDxDWWQ7ETolPeNg2Tu/XFE8PdyoPR3dnL1exIq8ocfFvFR6zL0PYIM8Ut1qPKDoorux5Js9+LWNvDFVHL3FN/M8iBizPcZHFb1j7pm9AqE+u0MuibwSgHy9AFMgPalkQDxBE4K9L/TUvIM
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
2gkT1wLqc85uKHvL5mI7y1Ya67+mBWPVYyDDsYJaa9vjHDvL20AL10Cbg8G0FXPXl60LzaxdQ7xZ+evSig3ryLs5u9N5WPPezHJD29hiU9bpYyu34ZLbxdTii6LLR4vRgYyT1K4/27o/h/vaNWlT0rJVS9GAjzPBaSGbwqKWg9JnMGvcr74z2dWmg9k5eLvcbhpT16cxI9l1iSvaU5/LxDQQk9j31wPTKlJbzAkpI9ep2cPQwPGjwE02Y8ZP5cvHJcaLzMBls8cxt8PcMKGDx0gIE9k2UUvgD5xbwYK9c9di4Huxk8cj3g1pq8CFaNvHfZAb3nAB26jwRNPfEIUjwXu2i9wE7xPPC7Sb2qex48c4LovOnpPDy/wd88Q/+cve1T/rxZCmq9qLGvPRs2Uz1ISPw8zLYNO46So7y8iyY92+TqOxg7Jz2cG+u7LTNVvQHabD3j14y7GAH5PFK4JzxqZDc7n0oUPaBtDj58/NU98UBjvRKBAD1nmUC9HcE3vQKdLz0/M0M
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
sw+bv1jZs9dmY2vaDImbr8HWY9wE4XPMctvT1mVZ89rNnZPK8GcLy1vR+9ocySPMwkhbrZA4g8ECcmvYO9vTvwx9g8YustOskSjTuVgQA9s9q7PJzHcL2sc+86r02ePeWHZLyZit08eNSFvdmVor13cBI81Yq8vH3+3Lx6QRC8CDxSvZYZXD1kH4I9YmFMPYNnjz3dPaE8gYg4vTMtpD1pZUi91G14vWLXoD044ag9e2zMO730Az0f4bm9GcfAvBXtQb0jr8y7t+L2PPDT3T0lfqA9ZO6pPGb0kzwtBE08EHlbvbA5OjzywZk9G0cxvJknCL3S4Ow7UpftPVJP8D0fimg8HvsSvbmK+TtZ37E8qdysPQ8/JrskLks9DF1xvcIpnT3XQC09qulkvAUy/j3V3xw9/NjIvGEkfL26eW27CgliPXnmrjxNURk86NYMPGHvlLx/nCk8eKrWvE20Zb04RyA9cDKGvf2W/jtugQ89YFBwPEQUND11Jk09f0wuPPxZIT1Je1M
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
l1PLx9BPI831H6PAstlj1J7xm95913vVqYfz0EChU8GL8EvL0j/TxRNFo9OqdRPe/gLj78Ibo9+IUnvYxZqD20PMK7j1pAveUYMz3KIb68oNVJPRLdsjx6fao966OoPdukuD08tM28sTtNvSrQYz0Ot5Y9SfsQPKgOOD3FEok9BbptvVxy0zu7OAM9MvktuyLgQT3b+PS8boCbPJQsqr2XuVE97JQPPsNUXz2SmI07bWBLvYtcN7ydmTi9kj6sO01HObx18Ek8w2nAvXnyjj29XiA7DcCaPQ458Tux5ys9cOrEPFrQrT0oIhO9qTwLu7vxzj008Py8O6JRPXgyxjl8ZE+9ABFLPcFzb7zc/g09ZV8+vaSCBD57gaI9ZYy4PBD0+Tod3z29upievPki27zHZKI9KsGmOzyaSD1YCM09yuHtPeNvhD0HX8a8pTe7vfIVlD3/pWK73B9yPYZHCrwPQjo9XRU5vQUcQD3jjOk9EpdGPcBF7T02Hx081h8KPAPmmb2MGIM
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
I903B4PXgatDx3A4+901MqPZWBjDkjm/u9mOSgvLFP27wk8UY9rzgRO6H2Nb03THg9gPpqPSpUdTrT/0Y9ItxiPSS82L0dtfS8GUhGPGnLYT0iqi89A/WQvVndojwO8Kc7mQsCvhQ3rTxRAO68l5mHO45dBr1X/v28nfWKPYvYTz04+QK9c1r9PGPdQ7wuFdq9196uvcdFY7wDr7C8SKU2PeUZNDxZtVg9mCM0PJRZGr5n7Jw9CqZEveREGr1Dc5C9ObKjvSMQDD075Y89/PVSvU98H71eqV09Ni8kPJ63/7wP3489z1lkOgDeTD3IPqe9KF+FPHUhyD3pOby9vgSzPXll6jy0YDw9j6ZvvQlhjbwD8dw9/iiYPMo+Xzxr2hq8IHkZPZcMKz0KVGS97LQsvc0ZGDzb/i49DZdHvbLYXj0QXi48/iMqvtjLaT16iv67M0auPPFJpL0lTzO9YIxvPVTniD1xVxm8GX9fvQO6sT0Q4Yy8vyzhvCTIjTzBc4k8nVGoPWM
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
w8ACO6vJ+4rD1Thne9kUK/vNjYKTs6akS9AfHJPIACeTzucYw9/UMfvTCqLz1f9kY86CiTvVrEqD0CrsW8syRYPYBF+DxVzNm8YaaUPRx82TzroMo8uk92vajbC73kTCK9gV26vKke5Lyf0WG9wxTEvJ/vlD1z9hU8knJ6u23zWT1OGGs9Wn/uOvLA2T15NgM9Wu6OvH+whzy2t/I8FVmVPR5iTL1cWSq+msYSPdS5qbyCD5g827vSvf/a3j2nYRs+2ooGPcfCvjwjEt+7x8JJvdbhvDzujCg9MWk8PDBFdryQZoc9L9EHPgKTCD4P9Ag8c4gBvTMXF73T1zS9Q0yFPUmkk7wnio09pLfuu/9B9T05M9U9d+QROzE3bD0rcTQ9dkwGPILpOL3ZdXQ7nWfqPLOojz2Ca2G87CYFPcnTuDzrw7O6bCopvTZdPLxQmBW9v6IJvRQYGj1w4VG8BZ4JPBl0gjxsR0c9sBUUPVvaaDwi0507K9ttvZR4ID0Grwo9p8aEPXM
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
Q8dz3tgLu9nfTLvTSOsr3QAQK8Nyfau5hmJz32XRK9t0ORu7eoTz2utAe9J0ohvhIUcjyWXE69SmRvPLdZrTyWSTM7LqckPUARbT0E66G8eTbXvVgql70SvFw8eGbSvLmO1ztKK/s8ecb8vPe8Qz3KhsE8OdqevbEhOr3PuMg8lTFivaDDyrtZzuQ8saGEvGp5Qj2ABMA7uTdFPGEGWL71NUE94wIAvenXFL2QWSi9D0kPPWbZTj1VGJ09SciPO+0MCr1oi6c8q4/EPHcyP7wecmw9l27pPJ2mCDvC6Sy95mymPeD+Uz0/lfK9cHIJvYXPhjvP7Rw933mFvRw8ND1o4L48npRWPTXPZD1w/Kq5ksS0vK2SZ7zZ6iO91oSNvUpFPjyjSf48ixQyvBgDEj3ZWOk7lJQevld3S71m5ac8UojjvIqruzw0Xfk8b+/MPSgFpj2mAKS8yuczu181rbwUE5i8BXiSPIw+m7wazqY7bDJJPaIxAb23MmM9R/CYPaxQ6r2J//M
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
07nWxfPMa3kD1/EAk9g3nIPYH0Dr47T9k9US+hPBtMjTz2tWC9eAv1vIesgb0gY0W7NrwPPLarjLxqob+8g4jVvf2RtD3EW7A9rbqRPB9Qzz1OQsy7zz8evWQtBj33i+O8REPCPZhb3bxSxGa901FkOx8PUDz7cPi97e//PQwIXz2/uXe8SWbCvJDNEz4/nQk+uJd3PISZcr3XRAq9lJxMvh+ZDbxuy4g9yqfBunjInT27L5C9DFqcvODgmj2HbmO94/eevYjnET67StI8zhUJPUlTpLz17yU7yf8NvqqSdT3224o83xMzPOXwxD1N4iC8mCIfPRPj670qTWg8mBt4PX4AiL2C3ew8TZwwvFdS8b1MbZa73y2dPWqXqr2jAI28+FgIvt2jBD0gChG8RHzkvEhMxD1/pg88p2UlvdkSwDy66Rc9mxxjPVtwjr09fOG8OqJsvZxXSL21eL+9ohu7PUs8Sz3nMoW86SiSvf4gAT47TCI+k4mLPZlB0Tq4lU89fYcxvgM
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
xe6Lx34gG8ZcKvvZdlzruf5nc9zDnovJSrPD1dbUq9m33DPR16sT1v3Qc9m/KsvDV6Rj3TtkM95nT9vMg9zDw/caq9onMDvmxDgT2kzb88AvLHPOr6zj3lYBw9VB7APc5BC74NkYw8Oy6gPHmhgr3YZSq9y3k2vPtIX72kkpC82FUNOyWwO7yVcwe9DOUEvumaYTwf3QM98Wq1vAWqIz2NIyE9JnTNO9j8fD3/VHU7TJSvPbPdO7yQvMu8bwSpuqESZT1vMaw8iK63PDOQCr0xaiq93AghvVDOVD0CzDM+gmdKPWedfb1uRaA7ofz4vRxgvjuSFYE9OQC/PHSqsj08K8q80jgVvQSqrT2sbVS9yMawO47QzD2RyZc9MhSlPCuYir0jEwW9kNEUvnMd7z1n/P+89eBjPJ81yD2BXW48m2+0PRc87r3XsuI9/NtJPeoHorzmepS9mrYfvbmWFL30EvI8JlmVPFPKgL1PCTU9zGnrvRgAaDz6qYI8zIAMvWUvqTvSciM
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
48d84oPrZN373ZdQs96K6JvXauT7xFG5M9xwnFPKtgxLzQJ4I9uSmWPTybqb2aJuW8vC8ePWgVfjznk+E9DtX6vGSWojxeiwy9EY2Xvd/MtDzi5BK6w9povXG1mL1L4QO+vniKPfcuIT1P83C9tvZ0PQUpmD04tm69bI4tvH0LHD2SqCE9jLk9PQWCcD1ilpc8zhc2vuqEyL0z5aS8N12vPIgHGr2T8wI8ZgQ+PBWKSD05HCg8LHWHO1JYHz3LhOA8Oks0vta95zsCqrW9HyuGPUbXTj3woO697LOQPaK7w70M3ZW9Nu88PQ+M/7xAhjE987JfvbnpLb30oQ09MJmlPHLmVb3mtpS9idDoPDSaZr6gDza9VP5ovKGXXz2U+oc9w5lXvfjfTD2mX2m8+bI3vTpig707HHo9NDHYvIlwW70PpvG977eWPesb17yAdsG9h/QrvOnckD1WzuG9AEnqve+par1nOYw9unGuvD0Pnz1vnLc912NYvrJHCL794OO7+eCaPZM
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
aKhr3sn4g89xNqPTlXor3sSUM91xAzvZ+HHDvqtIk9jFt3PPiES7wG4g29aFpdvF7h9bwVfR09bn2tu3doTD09rTO9O9uquzcbtL36fcU66f3GupI3Fj6gE0C8WltWu7W+a721dTY9OstdPFijSj3liZM8Ag65vBrDerz90k28OT2lPRI27zzab4w90LrOvPL+iz1e4aa9IaKSvZOwRT3W2Kw8x7XmO2LyGj0N47099i4oPWaPSzyxMF+8LTGZPU2VjD0OQ5i9n9EQvurtW70NCaY9CF60PHaPKb1seOs9kv4NPFZnZL168RU+xHiZvHGqoTtxEIo9dE/fPDJ0cj2n1zw9K3pvvZJMoT1Eiri9b4crO4gWQr1MIN681RoEPQy4wz3qgTQ8qqJyPXsIKb36l/48ZIuVveB92j3o7HS9/2hQPI4UOT09GcW9kJ3JPYKljT1k7Ay9GEUvvNR3SjsOiRO8xB78PDOHn7zFyXm9yMsMvK7hfz07XG+9zilKvfhfrb2HGJM
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
jMXz69Fdw9pdomvUjF2L3gLPs8eWb2OysfaLx4ikO9RHSRPQw0zrxwl4g8yv2CPS5OFD6MAJE9mHJxvYS+hr5FZw891buzvaFN7D2MjeA9vU5kPY/C5L1/kc696OLuPSoSBT5F9+O9SHY9vqyxbrwDC+Q768cUvLixBj71nE4+LmUwPeaYa75kT0m+LwmhPSCbkj2SFl88Q1MTvfw3Wr2dRCe+RgnuvE6TTj4zTU8+t/P6vYcISb5kRdi90IrLPFM9pL0YDSY79JiBPiuR77xC6yO+OwfPvVUoLj5hcg6+BY49PpXslT4zpDk+trCfvTd8Q7728EC9nLGDvXQ3I734AQO88/SgPTKfw7z7K6w8feUVPuE1az1dRLY97hkLPS1SNL7zA3Y9c11+ve25Kj6q31Q+wKMOPizHK74Eolm+VsPyOuOBWjyd66m9ecDYvQJYTTzTXYs7rPWYPFTf0z3gWBI+Mi6wPWZkdb0bUtK9/QvVPSRL3z0ICic9EmspPQyYnriANCM
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
3Vkb3HGly8FYsKvnaDNT0Qb6g8ix9HvCXZVD23v1893I7HPIhhHL1+Vzs9DQ1dveww6TzUO+q7tHNavAJnjD0jNts8CcY9Of4j4TqDZQ698Wy0PDi/tT1HPag8xyNMPOr7vbxvDx+8SwezvQ8ICT3k64K8NNxjO/Y5E72ndsc7nSqLvaBLwz1MFIY9UpGOPUw6F73Al7I98dKSPCYuCT0ZwAE8TXcyvpAfEb0uGCc9zzjIPPi98D0WKLy78vvUvM7ghrt1tRY8SUuoPDin2DyQ4307UjKAvZV86byrbB49a1QZvNHPM7xLF7G8GCfrvXU8GT0Eu2o8WfmgvG8rzD2GUyc8lvkmvRZng73pYaA9rQzWvMSTjj3bCIU7hN4fPfXsuLyDcgu+CNyRPF+xgz1DUo69AG8lvYAQkj2CmNs9JU41vBHDYz0HBQY98geLvPgkKTypPH+9sQe6PUDv4Tud6ac9FKV6PRUvBj5PHTq9PLFnvW9/jD0w1Ti4YNg1valajrz5PGM
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
Q9t8MlPWLT4bxa47G9yCW+PS8vhz0rcxU+cksovdFZ8bqhOdI9Mi+SPXVIOD3qKCa9RDKhvIcIr71v6z++s965PdDMyDxw+Bm9pvvZuxH0tj1i/kg9wLibveYPBj0RK8c9XsqGPEQlnD0WwmU83KnnvQ0y670EMN49wjiHPbfZYj1z2sm8uEKWvZRZiTz4oIk90PviOmSIfzsgkmm7vgwRvpvM4r3eL8i9Sh1YPU9eTbyb1VS8QkxivR3AHb6fWie8NndcPSxnYD26bew95iUGvhcLcr0WGYU9Ugx7PX55T71o6rK9ijoavd1/473SI8699JHFPCnCojzMEVY9inMmvW2Z/bzjBpC9NFZ0vbS1rr0wHLY9zWxEvPIIFL6Lrd+9akoEPtmGAj75mHy8nqBqvaFLYL0XJ7u9alQQvo1q/zsOtAk906vCvTFWMD0BovQ81pQdvovoJb6we569T8+0PQL0WLsl65I81+O1PdNvmTzQRYa7pYa5vTI2yTzoyf68sMEDvmM
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
ILSz0jgoY9HPqyvQXJjj0V96696bOTPZd2l7yst9280aehuxIlbj1mTKy9VEMfvbj9PTwkT0m9XkULvdFxdT2e2549AtKqvZrRYbrs1FE9peEvPc7Myb1CDe+9wgSJPCSzmT0n0Ia99vIJPT4bArweGv+7l4u7vbVr9DyQdgC9IzzcPLBt9Lyywxq8bL+9PeXGLr0+4KI9zmZ/PKRa7rzqhe69xno9u8lwhT2ZOC29IAw2vIClW734FEg9lXA4PenQyD3Dj5M9PoXZvcCUfzxAqbW9C430vVWAIT2kDQu9dZZ2PVSXpbuVyIo7AX0mPPvQWD33SS29fPTmPJlmmzyALvS8hc+yPByLAL34qU29kH23vRJtRL0n+6o8yIyovaiEvj3Ed1490xynO1+rULyK7sM8UpE2PUiyt7wDZlG9uQHLvRDpGL2aNIY9AlOWPejX8L1CE0O9KPO1vb88kj2IgLw7U1epPUOd1TxJj9Y9t5CPPbGLJz0o9TI9BAjgusvbMj2NwzM
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
0Rqj1gFHi9ah6UvBIynTvhi5k9AULRu8N4SLzzZg+9+dD/vYm+vrwfzhO+lQBvPZCxn73occu8cUjtvCzkZr2Zhj29sDwOvisp3btM2/E9L1i/vWr8o7z2BrO8NjM/PSYdQLxGsaa9I/NGvXbhgr0HCxc9RxOxvA49Wz0AoUW9Q12wu90yL72vkec8FQulvZn/GL4+mRU9t8gZPdq2t7meU9+9gk+2vWuSbT0+0P28gSwVvXDwWL0tftO8tU48PTSrFb6hIBG9JGSyvazb+D3rRyy9zmw1Paf5ND7tiZ87oEQVPTgdvj2+RdM7J656vX3YQD0fecS8qdXAPQ8CL72+sBC8ZafNPP+NtjwLMvY7aK8OvZJj0L1nbzk9YJR8veydfj1tVOI9d4Eau6YUH7unKbI8F4pgve0p071RLtQ8tAKJPJ5xnrsQXr68jeFuvUfjlTzb1ua5jrlIPT/tNT2AgUK8t4auPHgCIL1aLVg91Rg9POgJo71AplA8bInSvMoiYr1kCrM
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
Y8lqAfPMOvmb5gSWS8yhRMPkANvT2+6Om9Fo/+vT2o0L3ElN69XD7hPUX2Gj4tfEM+RuiNvk6yeb5QpZQ+QHCtPkpMejzai4E99NmZPQsNHT3URn2+IlbWvHSwMz6QhwY+o8HIvMRdi72/GoW8t+0bvf0eCT0FssQ9smpXPaOBjr54UJG+NwQgPq0mhD4fC4Y9G0xyPYXiuTxrURc91ZSTvvtkBTvckwI+vU+YPYSLm7zHF+Y8EfFWvjMIGL4jFlm6OIkEPmaEDz5BcHy9miGMvR8btDxL3Go8qsMCvsLErz2RwFk9F+a+vdxBxbxGQ+i9BzunPajO6j3mF7y9BeFxO+Dsp7wK8Ds88XtCPf+N5rtT0Iu927+/PQhWUr173lU9gldOu51Bo7xKceE9xkjPPRxEiz2RAoi8N16tvcPdbD3R+o4+T7OGOt4MsT00DlO9U2ydO0GpIj5+k688AGjvvQTiq73e+EK+91d8Pf7AQTy2D0w9lRIjPTP9Bz78pUY96UehvZM
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
lfATyoT5m9kxWIvcmN3ryYoHA9uiCHPafhAz30EaA8qrdWvCqeIz0KAIo9LTWMvX8WQTyCUzs81RLDPRyq0zsaI3i9sP2ivRs+pD3mLAI9IzTGvSIJfr2HEiw9IDsdvDmLwD1zwwQ94meaPbncdD2E5g89T0SFPa9b4bw4Pg69WGQ9PWHsGD3yNkU9kJn6O/RyhLwQjEM8FBLnvdfjDr0O7gG9YNtEvb+8DT63C+49uGrIPJL3aL2veEU9OkphPdOlADzyT/K8KJdfPeymprxZjeo8MtT+PNe0LboBmLa8RXwMvaQnt7ySn4i70U4cPbdM/TtvEUE9LwtPPXxfULyHZam8t8MBvbH0GTssryg9eqcSvdLaQbupfk07NJcfvWz3eTwr6TW87wiUPOIYYT0tWoS83SeSvehODL0V6du8g7qhvaO4vDym/1w8IxX3u9u19DtFM3a9ekXaPKc1srxxC2y89xNDvVvdg7wbEn68g0wcvYroybxcaZ67NEIDvuFJOrxnqrM
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
s2bT1qF7A8NDayvENbp74Eu7E9XO6WvRonrjzaias9zYFtvTaoYb09x9E9uhxjvSqUkD1zX4C9wYElPLtKhL1/0au8wykYvqmJtj3aXqk9AdbqPbhmQr0DD06+l/VxPD3EIL105QE8Wt/+PLow9L0xo/Q848Lhu/yd4DxLAoE99ToSvo/SLr0sr388cCSNvcae7b0ip1M7M9UXPdGuYr0XxfC8IIqHveEh8T31fy49gOCOvbJdObyJDw29kWiDvWPrMjxRHZs9v4TcPRbrwLySYym95CNhvYuLvjyAVLA8asN2PDBG0T0rtVG9k1CIu9pUDb5H/EW9XPv6PRALEL53HdW7gxntvUPxiL1rYZ499rS0Pa5jyz2pCjW+UtlXveYHJ76he5S9SnElvaHbOT0GtKA9W9gWvTwhAr0Oh8+9tcbsPEw/ET6cPha+OCnzvb/ivb0J0o68S86tvI/3ED7IKAE+eDlWvscCt70x4r299afovKtYEbxqHYy9pJDuPa+8s71g3MM
E8ueorPVAEjzuz+m4+Pj4PvpfO6LyMiBi9z/HEveR8rbx64Sg+AREBPp5/o731j8e9RreRvVl/qDzf5ZQ9Wxc9vb8eFj7KRYy9PSsPvb0lwz1Nypi9N/+APkRcEL6Fd+m9cUBlvVZKjL3UwGe91Aj7Pc5QEj6yq/G98TARvrVXAL5+iR27tdK6Pb2XfL3rqI49EYyVvbBDpj1UGrI9iSgKvpt3hj5C9fK99Q3lvfs5/rzzEw2+RQ7OvbgVaz4cAw4+HfUuvlurEL4teR6+Om3gPCbZrT1nW7+9igkYPvZfKb78gqI9NJr0PZwGCz3pwuw9DeLfPPXaVz4U3bc9BuQ0ve4fVryIdt88VifoOksYBD0OHO67suqyPWLsDj2E1Y89H3u4PcvzlLxetPI76PNBPLwTcj7Xz9K9ZwdnPtrPOLvkrcU9O973Pdr9ir2OGeu95oerPBLQrzwTz0Q9zgMmvXeVFr21W249Vl0oPrtRtj3/lHi90V61vfv76T1j2mU+mdhfvbM
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
k9H4rDvLWFOT35wpi9cA7lPGUcZjvZyto7Nt+BPYAZID0Uf5A9t9f5vETAkL22DMu8WdGvvfsCur0see88eQj7PCLMEz2+PYs8+RRUPbsV+L3TA2497vecvS0TNL0wO529cvGfvKLnST2VRcG86Ku3Ox2zaL2xOra8zvHDvZkH8buQmS+9gRaLvVO3sLxGZ3Q9fBmTPOWo2LvdZwI9eBYHPaVT5L1U7VE8y25mvQs5UT0di409avYaPUUCx7xyis+8XdKrvJ8MqjukPF68S6Qdva3v3b3yd4e9kdo/vXc74T1S3a47ADT+vFNm5DwJ4he+oFoHO5egfLtNy8Q9qEWqPbjgHz0cNdA765WIvEGDQz2RYbu9p+zDvRQogLtNLFK9iCYEvAXX8D3Xbsw9/zcCPQxlvr1gtuy7XGhrPdKrYzwY+MG7+SZkPe8qML3g+SW938uWvLyc0rzoAK89P3JAvTBF4jx7J/e8YbgvPH9+U70Tn8Y9lblAvFPMMb1jb9G8uwhsvaM
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
OfHb115a+8T1oGvve6cL3Bmt08/5NMPSk9Cr3XPNq9t2zmPIU/jjxomJk9Y5cYvX1+NT5Mjaq9Y04DPoLJTD7rdzc9NizWu6xiljyssqC9Q9jEu65F6LwBRGW9RuoBPaHuGj1fPJ+9Qlx3PfkfeL1n98o92GlcPfvqor3Cxss8h1QSvvUPEz2GMQg+d1g4vdIPkrpsRww+aUD+vdGEyb3DliA9pgCdPIbYWLxjdtE8a/VDvXqV4TyLOJy9FZQePgYY5T3/hdS9Bp0fvQ8AUb06G9W8ABxMPBI2xr1VVZ49MEKsPSy1G70/cxK9K2XgvZJO17yJRm+7OlTCu3K8Ur1TeW29kOQiPWoQ+zsaPtI9oqtGvolbgD7pqge+6RgNPlbSUD7pzEE9H7elu2NaXbyfYdW9QqrpPOH+nj2WLva8PwMvPh+Zx7ymxie+4NqLPjwA4b2V+t49ZPMqvcwujr7Njic+xrBTvhuwHD2eqAY+Eji6u60ocD0AhBo+woNTvuX4ZL2poJM
K8Y9hBPeSduz3q8G28ShVUvW5bCT5NM+69YnWfPSM0dLsmWzq+nkCwPcVWJ745hqq8GVqoPbseT728xZY9oUauPKSP+L0zISO9HtyLvcDuITwLWtg9lW5NvaqFbr2EjrU8rsaTvZszCbzEZa+8TF15viCtNj4WRA++VwVTPnCuKD64ZqY83nPUvLeoyr0omUC9jokPPUmbqrq4PfC7i3L9PTlRtLxfLBS+PbVPPhYqGTvXsps9HMc8vTyEmL5hxTs+GskvvlRjmj0+s/s9nTF4u6EUrz1mn8w97Jf4vU9cTb2O7268teeQPd+PhzykJX29/K5fvQBXLz5waca9+MaFPbciSb24VVe+IibFPZtlPr4YHHm8aK+pPd+NVT0Gn689K3+cPQzkob2lwI67+x6Yvf41UL27aTg9fAz8vER6KjycJL49ZfjDvInnnzy1tvG9phQlvtZL3z2cgKO95dyvPdS3gzw6Vx07f5rHvFH1gTzdMrQ96vkOPmZ4qzx1c2S8gHthPcM
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
k9vG5qu74KSb04ve+8WfwlPTS2qLybTeE8+m8dvWbtWL00Nco9M1nSvRiNiz2sJb+7VCguvXt7hz3MzFs7aijhuqmxbb29/oI8i0PIPFtUID5g5IM9AGfnvf7M0z26KiC9eVl+vdThm7tLcie9syzBvNx+vr2XxnK9lSc5O4HrIr3v5p09K1uDPaocmzxDpLQ8Zf/8PPz1JTxWoQU9uOyXul4Dkb3UJqQ9ZNmuvS5u7T2Zf089VLU1O+FWYr0gZKu9T0bcPSm/hT2RUYm9dx6aPbIaQL3GIh48+x9FvfAWOL0ZX6g9rjfsvAPmm70FKq+9U9bYu13vxr1k1WK81mUYPe4W/72Q7ps9YU/2vaX3LT2nx627AEnPveh67j30FaM80CZPvV+83bvShX27HKVSvB55CT7VF3w8GHszvnrZkD3oyAC9x7jcvRankjzenAe8NzBeu8cbp73Y8xW8sBxJPRfygr3uaKA9Uw9LPe02ID0jlB88l8UVPXekgD1MpyI9q9YWveM
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
K9SAF3vJv7kj1u7ya+Xs1bPOVbyb0KKQg+ww1QPZWGuj2mw6s9bngKvctElz1tpYi9wymHPOPdaD1qd349qLXzPPWmRbx7SsO9ZGrnvCSVCz0ik8i8Y1eOvShCZD2EL8u7njqrPW5WBTzL3GM9KVRDPf7dEL5zeqe68dGcvbtHDb1eH/c9JHSQve4dn7zU+Cw9qm+FPaAIPr3acMI81Wx1PDBSP772iSO9NneePQBv8T1VGrg8y7XOvM8I8T3uItW9Kl+EvXnuub0okji98s0lPSW3FD1FHyO9k0C4vCzO9bwho6a9/gZdO2TOtj1LwCK+bxInPf43LL3SfQk9Tu+5u+qHqD1+a+g9lf7QvP72yT0miIw9jxUTvJ7p4zx9Bjk9ZAj+PElB1jz5zx+9y4bgvMrbLj2b30894JBRveG/E700wAa8ovzOPP6mDz1dA1g9SrqGPY9b7b2k9Gs8bhJxu7krkzx5zL09D2SwvTv/xr3drVo9hvGtPUnxI70onR49OkIGPpM
a1zL2y+Vq9cSkyPc+RoT2LFig9C9XfPNCjbj168IC9UvvuPEwg6jxmoxa93LVHPU1rX708GRC+4YswOtkhc71zoYK9/eoru+C/Pj5TsC2+Kwkkvaa3mrwu9FE9MP8nvTdpuD22ZYk9BhkiPd/7dz0OJo89fnFbu8W5DDskQIc9yu9rPUA9vT22TTq9C22JOzmejj3GaYY9WAIyPe5iVD0CHrk8mi1FPU27D70Twhs9pW7xPLnoZ72PdLW8qy2CPCmuur0tv548xA6OPFJeCr3l5O08zQcmPFGrgb13mha8VPAnPkcIiL3GeTW95UWOPBZsTjw2MrU9Rk65PMEBrjy8jqm9uZu9vFW5mz3ddLW9VOlovJljs7yP6Ya9JVt/PCnF/L0qMMq8DONYPWaFaD5iWcq9z9zru+HNH70vS3K8NxIAvZKfvTxaCeO79uwGPgUbXT02zmc9O8uOvRS3Kj0mk5w9HwhVPYEBmTu8mOC97N1SPaX0JD2A5Hs95WKAPcY5CTxZWiM
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
DxEj1hBwi9PWahPBzgo7y2/oq9RY1VvSz6jzve7bs9Bb0gPQVX0L1dvZU88vTevI+5cLwOQ349pdo0PdTL5L0jpxe9QUEDvQUkLD116k87pgKdvWgtqDx7stw8FaxhvTuu4rxT6JI5D+MrvAuNSTs6w0E8qKa7u3560r241/w7y6qRPZKLJjw4bKg9Rqm3vXjfhb1DBMU9UaHNO0LWlTyd2y89xXhbPXzonL270Oy8u8RwvaIljDuRqxg8WaXTvM6BNb2LHRm+f5xMvfbMhr1pJfM9DsqYPNLXaL1JoWe9f0aLPRnBpD0JTYe8gMwQveMJMT2yOQa+4OHRvVGpYz26eDI9uzANOxDZpb2FUQ+8ME1oPZHkaT1NVu+7R7AHvQltnL1u1Qq9pWgPvW7/67zhYck9kb+qvR3zVDqcuQq7yHVVvTAeir2kBv07q4FOvExz1bwx6+E8pbrcvejvVj0TvPE8YRrqvGIc4TywvFo99RFHvQELsLynMY086pDZPO5MZz2lz4M
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
C9tAECvVlTtT183lM92/qyPKyFXb2DO3m9XN3LuTxXpj1LzhY9zOH8PMUKF77dCAU9GRI2vESQR70dCec8Xb34vF3PMTx1zli9Rkx8PTlzjb1tb3I9qk9lvcIze73n6kU9SEACvpkhjj2n1sc9v0oqPFvTgLyLxQO9bZv0u+wPCb2MvTa8/nidvEwprz2Vd9a7YJ44vXfoPD3ZLDG87y1wvDiPEjyiBP06STwYPDVbGL3Q0Ti9gGZAPM2ma70GMVQ94mc4PTvgdb0mFWM9OfGKPaUsQzuXSbu8Ybf3vLprRrqMOuO81xzQOx0Pjz1F8Uc8uZ2JvJpzqrojh6O7eFN9PTwxwTyUXNU7axIdPRzS371lVeQ8reFaPAjAVr0x2wo9LpkjvRuxBLvg4R29igpyPZe2J72YzvQ8Ib3MvKwq3r0ZYLI8Ocu5vWtw4j14j/g9DbaCvRkylT0Hhye9RxDdO64F5TtzXDQ9dh5dPaV0tj0Swbq8XlENvhV+yD26wCA8b4J1veM
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
O90svTvSJkOD2p3Oo85o+Lvc4kbr0A3zK7RtMyPePwhr0b57+8MiHiPHfMHD2t/Ja4oMwDvojINz2qmM48vfkiPWAXJDwumxo9v9KivY6Asr2sCMo8nc0XPSawAT1DhrA8kX89PboWMb12DaW83wKivGHYnD024dY8rkMKPMkUqr3rsS28q3kIPEtKez2nWRc9RLtqPfBYm70CteC96TeMPXJ3oT3t5Ew9tGOBvForPj2HgiM9sdSdPD8skT2+9ys9klS4vIo8Db0THG+99/f+PEZwGD1hyBU8oVe6vDRyur3IOwu9offsvGsFID2vrrk8gJFbPAnSbr04kf68SJJLPQVke72RaVo9SQQkPaUYG72fGi499afyvbcmpT0m/qQ982DmPY+RLzp1m+G86nefvX/nEb59m2E9BG+RPTASuj3uSVE7nPhGvOXXPT0ER2W9ATRQvSJcjbzrxec8BgqYvG56+b32dLa9yvdqPTykwz1BayQ5ixWyPYe7B71w8Tq9OkWePVM
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
uZvj0kfxK8HUYDvVEI5LzFgg29KhX6vBojF7xxeH2908yIPNY35L17C4M9xyeIOwbACz2+V729xvQivcfPBb36Sqy87gM6vY8ia70NgxM9jXiXvRnN170pXQU90hvCvT2SNDwt3cy9HOCSvQmf4rw43Ry7y5/aPWyLwjwfbQU9xybRO+glEL0mk4K9/b2zPO+Rxb2ec4q9RI2APZH5mDwkz4a8ZIqavWMmvLy1BYw89hllvSnXyb2gKna9Q3dgvB3LBT3njWA9UjmgPXJ3g73qzBO97WAQvQpPj72KfQa+7qwfPR0AfD1hD6S99V8HvpIx1L3dCNc8xzbKve0YFb3Q9Sm8pCZnvP7KtL3+2E09ZkC9PabSlD2F4OW9AeWkvFMI9jwqXRG+Tt5hvYynZj0kktk9mSfvvVxkvr3y4Ay+SCuwuQQP1LyrXyi9J3iNvTsdw71+dyi9C+2SPQAWfj0G0q08F/BBveFenr1bkE+8cfABPaOnkb2TKTk8JYxMPRPVNb1EqYM
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
A9yXu6PL19h72koP+8jUiSPXKiK72wt029VhxIvHdsQb0b1Ae9hqlCveBSc728vOc7/rbxOzhRJL1LmYS9+5qPvWaSk7w381y819IDvaR1hL1q+wC8OL09vYvg6LwyXIw9lhOxvIXhxbzSz7o9PwlHvWaKg70R4DQ9b+/KPG6VCzxxphi9m+63vCsH9rvATsW8ndB3vRP/SD0aOl275o0VvSr7l713otu9l1ZRO9hmm7zh1IE9jsXiPXb7urw8iwa93/GIPa/xgT0p5rS92TVQPBqX3rxHzzK9SI4hPDTHrTxYnEU9VKWsvQXOBzzXF7C9sKfgPUaAzzvSxvw6ZmgYPVTq0L18BYg8v1W5vEg0kDxwu4Y9w58du0Y6Gr0YIlC92L1pPMJpebw9xYs9BtMdvAXw0L0Jqmw9W9KLvY1A5bsjOhc9FOAAvsHFVjoi9gY+mGEQvaluaTz8rNS8FZiBvFgiTz0fpQ+9CZyavXt3wbvbzI88+SufOvBEwDwGzYQ8VEWMvOM
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
29T1vpPJPUGb56YbC9nGm5u8zpNDzhEEA9CTZ0PWgkQb3jPFI9lDwTPflRIjzO8vK8DayWPcSQd7yNaIo9k5LMuzV4gz07Og69U9JovUcO8bzQSfu9L9I+PKOlN725bx09Xh0ZvXgD9L18huo8wwdlvYJIqrxpLEs9T9Gdvaw4ZrxscDq7m7L+vAMhljkAJ0s9rx+VvZ3vjL2Yp5g9Ky3HvfmNrjkKh0Y8RKkpPflboLw8cwI9uwFbvNtSKbvm+Iq8mcFBPSOmxD07zCG9gkE3vagQPbz4QDw5zfCVvWYRrbxkGo+9PA4+PXdSzr0zJD+9TftNvdbQOj151C47mi6fPdtAZL3mFHm7zn2duojfHT3yWbU8EkaKvMgOgb0DwOo8eQLqPC7Utjtroma9wLMou2I7NjyaCQm+uMj+PDvtlzxnrTQ9cjCAPV2OB76z34i9HfgWvWu7Eb3i2Is985hZvdp3h7zuYFW9aedWvZjN3TveZQK9TAVrvSqL2bx3wP49KTUjvpM
p69jujp0Y9IcmxvOyNjT0Ykhs9CTKHvYhYrbz9foc9SQJ8vAEd8Dxyqym82z2KvU0C9zspnsE8vSCLvcTLAL0MEpE8W9riPIi6+73RXTW972+LvJkYq7welDY9ZMcYPZZBOL0CdQi93CsYPb/bozwpRDG9J6VFPVnvir2v1/68OLbpOocSvT27gD+9TvX3vCY+87wWpGq9Tv5bPSqWL7tl0WK7SgGIPbILob1VZ4a9WkNNvRU/HD2pidk9aBjsu6etobw8DCa9mh2/vA8BRbulkw49mEe6vXCSo739w4c9q+sYvvBKHD2Iu9U6eJ6jvGojYjz6vEA9OeumvVH/Vr1zbxE9GZ6IO7YsRD1nq3m7ykPpvcE1hz01CUw8zI6QvfdKkL2n2g+92Dk5PMknyL3iYx29/8XtPHoLCD1bnqQ92DABPpXOvb1r3X+8cl66PfauzT2BC2m96JqoPCR9Ab6tRKq8wiLlO4A8eD1wMKu8AjIFvd6ye718MPa9OaPtPamM+bubuzM
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
u9wqkTPCr8H750fVE8MlMtPeStyj0Ktpy9uxJvvfnlML0oJw2+9fcUPYlWkDx7mSk9tRigPHWW0b1uIH29PtuRPBeoUz1s/7I9NXtivT6mQb2NJwO+wOhiPHi0jL0hyis9Zaa5vcHxOr51A6U9yGHTvc3LnD07Nbw9MNqaPPtP5z0A0qk9dxMwvQ2esLwxR5U9+7TTPQVi6j1qlum9fXI9vh87cz08ER28XCEevQwne73EXw698RJMvBpeq71kBpy8EFE3PXHgMDz1cJM9WJa/PVYCpr2BNZc8rH+5PMB48D3pqqi9x+kuvWpdIb7PPOs8I6c+PSt87j2gtYa9Y7lfvSww2bwWDIK9i6OuPVaIQ7y0goM8O5OlPbpX9L0dG3W9Nk0kPH8IS71YN7I90wBsvf7Bnr3jCQ6+3pikPeB06byPKS09cEXAvfuWKr57FfI8PRgpvhqTxj1uBZQ9SuwFvXI43z0HDXw98L0NvQ9x57xA+6A81Fg8PO7rsD28JC69Y14ovoM
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
g9pQRovDlVnz1Oin0+cWWQvv3Zsj6ZqS6+jK71vm/50z6CFi4+o/govhG6Jj1fF8a+mF8cPmgaPb5Zw+Q9w7fvvR8jnb409Z09dRv3PmBDA7yYkag8jSKNvhqwDj86T6c9d2jhvs/quD2nYMw+DpnXvRhl+LxjJJY9yVGEvrXykT1RZu0+V0XSPDgFfD5iVOI+ckOaPrnKZr0zZ5K+avn/PPfZDb6fGra+5l+KvuG9hD2wtrw9tHBKvnhnlrvwP8G+HHz0Pgz1pb4M4Fu+szmHvo9NCr6I8HC9/2gRPtGYY73FFpc+tPeTPuFi9buHZBg90G1JvmFpUT4kan49QnxovUUSMb6UTtK+xOFWu+8U2b74YE8+8VGrPq78rL1I88y+oVrhvvYACT5nJRU+prjHvP7m7r71xKQ+L4jDvdd4WzwJZwS+zJr5Pd3nO7136YW+nAjtPkDzVz68gJw+/leZPkRBlb7kFNI9lX1gPljRgz6rLc69YS6KviSkjL4ipGI+5t45vuM
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
a+9kEVv02VLb9oXNw99mqxvlxtID8T1La+lHmaPiAGsj7dOv6+s6nXPk9x+Lw06SY/Wf7fvoDg9L4aKfg+jxMov7qxJL9RnWU/tzPGvq7TCr4vZ9w+ga/5PgD/6z6QbxA8wQufPkmC2z1WyMG+3CXJPtWVaryai7s9gg1eu1FUe74dToo9fmLZvtDmDz6kvCs+klcyP7sXU78hdzg/QIt+PsKvEL9aeUE/6dTRvpDGJD8o2yG/DbalPhO0mT2UTAi/2hCHPb3d7z4ylZs9yF0MP3eKvT0bYnW/T1N+v/+b7z1FmrE+P4q8vkL1Xj/XOyo/8YUev4OqQr3Y1am9", "training_traits": {"structure_gen": "Triangle", "n_layers": 10, "max_nodes": 19, "activation_func": "ReLU", "epoch_num": 5}, "classes_name": ["Cryptoadz", "Cryptopunks", "MoonbirM
ds", "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.growthFuncM
=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,0,1)):n<60&&(o=0,rM
=(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.getNeuronsLife(),stage:thM
is.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.size/7:0}update(){thiM
s.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,this.angV=i,this.cM
1=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.globalAlpha=1}}funcM
tion 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-1])*(e==o?1:t[e])*1M
.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;(min(o.x,a.x)<t&&lM
.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(0,0,500,500),ie(e),eM
.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(33.2,331.7,24.5,33M
7.5,26.599,364.1),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(449.7,146.7,453.6,142M
.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(433.7,384.1,433.3,393.7,430.8,M
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(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVeM
rtex(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(202.7,9.1,213.1,7.2,223.8,8.8),eM
.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(469,219.5,471.6,24M
9.7,458.1,274.9),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(246.2,460.3,242.7,465.M
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(77.699,119.6,85.399,114.8,94,111.5),e.bezierVerM
tex(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(364.3,41.3,370.5,45.5,376.9,49.5),e.bezieM
rVertex(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.bezierVerM
tex(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.bezierVertex(89.8,304.9,96M
.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.bezierVertex(94.2,130.M
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.bezierVertex(123.499M
,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(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVerteM
x(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(235.7,116.499,235,116.M
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(243.2,254.199,243.2,330,243.2,400.5M
99),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(299.8,357.3,300.6,357.1,301.2,356.8),e.bezM
ierVertex(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.bezierVM
ertex(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(256.8,95M
,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.bezierVertex(325.3,66.2,336.3M
,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(331.1,169.8,331.4,167.3,332,164.7),e.bezM
ierVertex(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(391.1,30M
3.4,394,305.8,398.5,305.8),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(419.5,400.2,403,427.6,375.M
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(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVerM
tex(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(172.1,225.499,184.M
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.vertex(187.2,427.5M
),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(130.499,356.8,131.499,356.8,132.599,356.7),e.bezieM
rVertex(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.bezierVerM
tex(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(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVerM
tex(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(375.3,171.8,377.9,169.5,381.3,M
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(360.199,267.6,361.599,267.7,362.99,267M
.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(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499M
,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.bezierVertex(371.599,360.99M
,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.bezierVertex(330,434.7,32M
7.5,437,323.9,437),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){let r=0;for(let i=1M
;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{constructor(e,t,n){this.M
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}static linear=e=>H.__appM
ly_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_binary_op(e,t,H.__mul);sM
tatic 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)M
{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.totalNeurons.length;++eM
){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.min(n[e]-i,1);thisM
.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.linear}}function j(eM
,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 W(e[0],f,c,u)),o=e}M
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:this.elt.offsetLeft,yM
: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{width:this.elt.offseM
tWidth,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("M
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===t){if(-1===e.indeM
xOf(":"))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):tM
his.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");return n.innerHTML=eM
,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),r.addEventListenerM
("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!==arguments[0]?arguM
ments[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],thiM
s.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).readAsText(e);else if(/^(M
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="322";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,kM
e,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,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createM
Graphics(e,t),$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)M
,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"],["#111822","#D3EB8M
D","#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","#77c4d9","#ffffff","M
#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)&&cn==Ve-1)pn.clickM
();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,loadImage(se.eltM
.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=(ae/2+we/2)/le,1=M
=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"!==key&&"S"!==key|M
|!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(width/2-252.2*le,M
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),Je.stroke(xt),JeM
.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.inputDim,Kt=e.stageRatM
io,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=_r.findIndex((e=>M
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;t<Ie[e].length;t+M
=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[e][n])M
{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 e=0;e<Ve;e++)bt.pM
ush(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 $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);M
De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sM
n=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$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;e<inputNodes;e++)M
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}for(let e=0;e<Ce.lM
ength;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])}LM
e.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,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),UM
e.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$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,ae/16,width,ae/8M
),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.textStyle(BOLD),Je.strokM
e(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+1][a]),0,1,0,.5)M
,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,t,7*n/8,7*n/8):3=M
=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.noStroke(),Ue.fiM
ll(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 this image belongs M
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(example);if(1===n.sM
plit(" ").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",wM
idth/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 decay phase.":`WM
ait 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.textWidth('"'+i+'M
"'),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(a[e]);for(let e=M
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++)a=a+" "+r[e];if(aM
='"'+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("PERCEPTRON INFORMAM
TION",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.toM
String()],["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],M
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",width/2+252.5*le,hM
eight/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.M
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){let n=e.length,r=MaM
th.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)}function xr(e,t,nM
,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,t,!0),We.resizeCM
anvas(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 ${r.lengtM
h} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognitiM
on ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. HoM
wever, 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;M
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",70],["CIFAR",25M
],["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 e=0;e<100;++e)raM
ndom(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,"Hardware Acceleration":eM
.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":"7b6048b0af7c542b","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641@a","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_216", "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": 17, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 19, "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": 6, "activation": "leaky_relu"}M
}, {"class_name": "Dense", "config": {"units": 20, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 14, "activation": "leaky_relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "GVvOvBXhYz1PINO9MpTqPXJNiDz+OmQ7RZebvHHD5btjqcE8EHgkPTdidbxqNVU9TMSGvbnPtD22jSW9YjsgvepLKL0ZlIQ9T9CQPFVKlz0wwY+8jyoBvPylmj02cQI9Vo3wO1SpAT0FmUc9zKN9u4Lnij3XXNe9equMPbuMKL12Xku9shUmvdfKpjzAKFE9/U34vC7Rdb01HXU9bmBqvXxUkT0gdNY8dzvnO8CHVbhCqBE9ZqWuvHKySD0ssG+948dSvcnM4zzEPDM
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
63JrxCPra82ps8vaYYBb0BGlo8qZPbutNewLvASIY7K+yrvREpsz0HD/K8rBNKveirpbyhO+s8CxcoOsPfYj1V+Lu8JsK4u6LVlz1g/wI9dHr5PI1ePD01HJy6KEroPDgzQbwO5dS9p6miPUMquzxooXO9ZQ65vMenmjz/VZG7CiUgPQFTQj04Yps991vGPFlZzj1hFM88Fl5oPHUKqDwgtGk9GWhdvWmnVT2rKPY8n7aMvIWmfj2+cwI9qZGrPIwSzjya0K89w+C2vHBoi7wI8me9KEiwPd5I57rJ3YK9A3Aru0zJhz1p+7O7etfzvNK3S7wCBCQ9PPUVPd2GpT1UsUo5XNFNve2hTb1IAME8IddRu8gbpj3CiCq9LqhVvaGbaLxYCLE9YEaNPbRHQzypv4q86JAlvSspsTyrLwO9jmhhPYRh7LwZ7ao7AaEpu/67OT1aPhQ95IqcO9YI+7xsnuc9qftOvSQ0aT0M4Qq9aMaoPLaJez1K38A7eW87vTeodT1BvzM
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
C98tSVPe9b7bzKY587PXdcvX9EzzuWFuk84To7PfxKXrxOZNQ99EhSPF6cRD0f7xU97l8fPca9iTvpzVq8lmYiPfbBPz0+Ihk6K75+PKu/Vj3FSE89G+xgPYC3dzz9B/k8GdcovNhBkD14WWC8I/SYPR1tNT2nlqm8UzL2vEdSHjxSNw29uMbrPH3tYTzh8IE9fNccvdnfjT0l+pE81FwaPT35vTwPUYM99ZhePaJH9j1ax768k7wovay7TT0bRoY9rHD+PdAKXz2/Q547sDtBvFBG7jxHEIe9zDYUPkOoqD1/R4k8DVFvva7S/jzAbou89QEqPbDI2LxXtTc95q2evXPg8j1JSQY8xqdOOtahWLm/qlc9uxT9PLUOjD0sjco7OVlrvfZD1D1lUEw9EQxcPeOvv7zeQ009rRIOO+xxoz3I5rK9H8zVPRc5nT2AGOA8C2MXvU3NSTzbA0Q9g3CvPQ2DFz1W9F492hAOvfHtBz6RkWk8Rjs6vZmRhL1ZUCA92ozbu4M
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
q7BtaZPCp5iL2GlRI+6RkjPaIX2D3hVVK8zSoJvepAYj09u1g9BDoIPveoQD0CGU496b+CPHwZuz22usG9q26bPR7FBD20hy+9DLN8PIauOLw5wse7vIEoPVVbmrwRJf88RDP/vJYmjD07BjS9Zi4zOwasYb0JyxU9RQw3O357/z2VrTO9u/PAvdBiFD1v8gQ9n81bPbgz47zdSfA9ojlku8kA/Lui7i28SzsUPp5MXrwmrFq9NKE8PV5ASjsJ9h29gqUSvUTFWzt3raQ9i3ycvcfJVD1ocpi7A/qmPDRREj1EHS49ePwBvFFY8j3JTIc8eGfFvAHlZj0D13o8y6EAPpNPMj3bu1U9HcIJvbCx+bxCtci96VaVPe1JIjx+RZQ8crFxvOqR9TzCQca7IJQ6vBk307zNdQQ9nXpevF9MMTwXX3g7VhcPPN54lrzM/QA9oFxPPLi65zu0Kfy6tFwFva/Ii7y1mDI9pOfRPccioDygFkc93NvTvFFIF7qsoyq9bH9aPYM
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
qWF71PAO09ocElPauR/z19tiu9afuwvBNLZD1+/4M9nztgPSMhIj0a1uY9js5vPbYvnj3V9ea9QQHmPav+fDhS0cu74EifPMnRSDysios90FG0PaNyhzy9woa62B90vWg/Az6E3Li8FrElPSbNbb3ktvA9KS+ePWSbxT3HwK68h3flvXtCvT0YD4M9nyQRPeNN9LwgQkg9SH6HPdLEqj2sDaW9YqLmPeJbJ7sTyCY8A5MVPBNE9LvkJVA93NypPbhOBj2oGFg9aDofvY6I8T36FKO8ctwkO1bABb1XWeg9SzzMPL4k2j3ggZ69B2XfvQqdcD3oYZy6nqVcPeo8JT2nm+Y9Dnk+PUgMiD27hym9381yPW1ccz2F8Wi9S4QTPJNDzzumgM88/yadPeSsKzxuunU96g+zvRAVHD5UWJG9oNwsPUxBmzw9abw95A+HPQyL4j3emFQ88dmYvYqYYj0OrAI9Gc3+PVLRtrxUhqA8EwDDPOAYW7qoOM296sIhPZL6ZLz8ZkM
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
C7vfeivPxbRz2mDRs8jGVAusEXmr285VS9Tco2PU9IJL2TXFE9uceTPC+rAjtZVqe8yLGmPPgcgL10V2w8Ot/Fu0fm4Dwn9kq9W2mxvJmU572smLI8MLFAPbXVn7xL7U+9oe6+PC32gb33bgu9xbPyvBHeFD0SRim8MTGIPT4v0bycMco8JgeXPD5S/rwwkU85PsaSvDcXEb0I53o9DC/nPcmpJ72SmtM7WAjyvA4yWT0A2x29WiNLvcT4Mb24+389zLtaPUehnTsg7ja9WaTvPDunjb3JfYi9KuQBvGmpC70Kv1s7uueiPeu0vbwszDu9LP8cPc1YVT2/Zu28q3UxvVGRD72+i/I8LChEPU5IR71bX6A8utWJPSSnKz2pWX28EguLvekmnb3D25k9fl3eu7nLrj3I1ai8MDKnPQFPobyGOHK9I6r9uwRdl7xamFW9KKadPXuiUby9eyi8B1GxPcDK+TcfdBA9JZoxvfc0Pr3UcVm919SvPYbeEj1vbGw9DOByPMM
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
WiqT0nZlm9k4x8vU7Fjj2+DAw9TtjJPTHjorziafo9sYFXPV2EsT3KCBG9Ms1NPcYZlD0qODq9XDnNvF0cBD3wWvM8MYmBPcUyzTzJekA9bbIdvYItFj4/npG721NKuxAfhb2W5Zc80EtCPRH+yj3yM0G9BH6MvTUwRD170DU8nqTxPRkDkrtQ9jg9O1ksvZH4qjtEg7u9cSeKPYycHz2TrUu99mslvVNRpzzbtSk8ktrAPPy2X7xxuCA9+JZau/7Lqzzwctw8dnZMPR1/0jzaVGU98HnSu8/7hT0FBJ87QkOGvQdyRT14QSk9YcgFPlzkGD245ik7F6DNPH5IabxJmXS9oW0rPbadwDyicoY81npCvZEWiz1MvrW7CgiCva/ka72uU0Q91kF+vJh6pDyoTS89tpuEvak5gD3aUOk8McmTvRQP5LxMHhw9IxA6vSSftzw6WRs9ZCTJPfGAyDxwkSw7y7kPvRsHwrycBIe8mFHcPf1iL7ta3dI8ArGKvGvUzz3f8wM
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
w8ntjrPP4I2zwN0oa8mRNzPRR6Jb1eLzA8GI0+PO38Rr3CUp67SCs+PU6SK72lz0e9W9eavF/AfjyptR69uD0LPTXHoL2MXI48ph77vHXpnj36IBw9ZMkbvSyrw7xk8Zo76dmfvBXKXLqRxHW8F0dVvCuzl7x0Ic08UPqtPcc90DsWOvG8bRcMPawYhL30dGa94gNyPYgbor1KZLo88FTdOCMACzpWaO+7vFMRuklp273s6hk9stz6vIbWgT2qIqI8J83PvELtrDx1JgS9miU8vbYBjjxur5K8jceLPAzdjjw5Ero8xug/PWrOxrv2o5683gB4PcWsA70YNMq9tom+PeMuHL3mHZ+9S5GTvBzAg7wO/XW93wRzvPMqLL0oO8I9GxovvZJIGz02m9+8gqY+PYZG+zzHy4o9gkOCPdaQVT3EsFM8cwymu22uiz1aFTs9efmKPeMQZD2Lyo49m9RTPQj9gz2bqa29beiIPb/QBT2XUSq9QUz7us4wLL138jM9Q9WvPMM
45YD3sy4k9+2W3u1A6/T1VBgy9ewkRvVBKL7wlGsg9BsaAPcPg7j1/Pe680jTsvdZzRD12rcA7VjD0PYTkzLxhX/w9BGSpPUvEcz1UFwK+U5+VPa1RvjxsDIO9OUiCvZMBo7swLJQ9hDDgPSpPQz1Ca6e8c85iveMO+z2iYHq96D+4upxRXLsW+Zk9YdEsPGji1j0bbbK8sS6evdDjOj0CDdA7MQWDPQdU0TwvNeM9Pbu9O4QTtz2zf+C9Q6PHPfIbNj0FwZy9WZg1vfqNHr3SD/c8KvU9PaKmLDzJ6yE9zzUgvQpXuT0IzYk8tFgXO+hgNL2ZZtU9ILSwPeia0j2w7IW83hHevdfVZD0Iqou8L8v7Pc4M9DywlhQ9EZ4RPVQX3DrBXzu9Sd0pPR3ksbuF5ou92ogMvZ68N7y8nzQ9BLIlPfXIqjyPf5k9pFpvvexm2j1A73+8e/AaPeZMEz1QOoo9VFcsvO2pxTz1GBC9sEjMvOa4dDzh2xO9DhLyPV/QAD2VHwM
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
R8yTzYfcW9iWx0PcrLXrzBJta8YFcAPUTf3Lz+IcW8TpFRvQAtlTytQYG9MHn6POjdlL0UlCu9vXuePAbeJL0WY3o9dB3mPJQW+jwP4su9eScCPSG8lr2BiaO9QvJUvSf8lLsaNCM9aWE4Pa6aFT03iWq9k7ImPZ0fl719tnO8HC6fvE+29DumL7A9x1jhPJjOHby4oLG8U1RuPdcbOr3eHvW7Vp+GvIfsyLxD3pw9oQxHvKZcvLrxMW08R/0xPT4zjrs5VBO9NC2YvUeQrTynNYU9zRxvPbVmyzsyTCA9cwtCPeXdD72bXOW84oLXPCnGLTuAp587a4yUOxbyMj0Kx9K8oIfyvAJ+4bxr59c6pVWlvRZJM73LXN08wzFrPCXPub213C29gFD3PEWTWDz9C3K9DP2SPGeRlTyyPqa8cPnPuaW4Wb1jxYo8wwd+vPSzgT1XfAo91v5HPT9VVzz0v5G8/iajPJaCED22syi8qhEkOgIpib34elo8rIfmu+pUfz39sNM
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
hZAr2Yi+c8AHDbPaBykT2Ysjg9AQ2tvdWYCT5OQ7u6sBQEPQaiUL1BR/k9ldwiPcfcDj6pv7C8SdTIvPaT6z3GN+q7QHf/PR8NJrzsvPo9f2shPQVSNz3HB5e9wDpcPSGnmT2Mk4K8ad7mvNcLVLzQDjk9tTEIPZdWKruP00q8iZvlvYJKFz4VyAK9Atzzugl+dL0GRK89OwSUPf1swj1yuRi9rq9HvQrqpj0iCTy94gejPQDVi7z7nq49mpLtPJzKTz2rnb29c0CkPcVMzTsptCq9fpShvWlc1TwCU628Bz/uPLHeMb0QtH49vVLPvVucmz2Y//a8UkCQvL2tT71OO509PmAsvL4/AT4O2Sy91ZzHvVXmqT3LvS88Uy2WPcaX+TxDmBg9cXiIPa/DwD3hHca9kzauPa7ZiD2G5J+9Z7SHvYgEgjxJg0s9xR5pPXuLwDwcg2c9cgaVvNmVsz2mcy69hXJMO2ThHjyOuZ49Og8YPQ6CFz7YiTy9rnyHvd+5kT3AWIM
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
FiZLy+K244N/V7vXM1Gb3CYDI9KISFPQ99kLxrnY69rsc7PQlr4b3UNRm88iuhPPNjwL2EcZk9XsWYPZN1gr2Zf1o8BTZbPbgrK738ULK9ybCNPOQXuTtVF3m8FlMOPKJZ/LxBLJG7UkjfvB95o716dMq9A0qxvBuzZb0yjRM91vx7PXsINrv78KG71fWQPRuXa70eu6+9WNMFPcr4Mb1UIzy9+3diPM1IPjy9hVG9dkSmPA4rpL1EVIe9xes2vVLBBj0xpwS95nECO13nrb3BnMi8+SOOPIuIEb2BNA29VQSxvLyce70y0Mk8L5uAPciNBb2KQUG81H5vPaWkT7362IK92gCSPbVKiL2GnZe9z628vcnbNT36rda9638tvY/TCb08pO68pAOuvAl5FT3nMMK9qPjRvWClDbxvuLm93UWzvV6a0DtmZ7W8oWysPEGS/b1iPvq8VFuRvOBjujxGjYG7OJEdvY3bubzKPAm+XrzJPf47oTwm98K9YCITvd/6lzyuegM
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
xKE7yNlam9WpdGPGyHJL7SyPU8nM8fvZz9RL0MmDe9y8mqvHL/0ztk5R+99BGfPUa55jvaZRE96HeTuswcdr3yv+K75I6+PA6MED058808tampPXmQCL2U0AS7JLw2veq+Oj2MezO7TALWvBubVju0DLI8J1vLvPtECbxJtye92YRDPQ/TRr3H3gO9qnDcPEza8jwoP4S9pNyQucOxq73jrwA89WO5uQyPg7vUVH+9WRkuPd0fGTskREq9WuUqPcvWhDy53pu91kcUvbyt5zwjOfq9wsrZO54+UD0yuP27NowCvUPxn7xZ+g+7h6xpPavJDr0gBD+9TWr5Owdi87w5Ycu9BFlmPFlW0L0anIs8hr6OPFEmRr3MMri88j0EPIdbnTx+s4g8m48sPcI1DjsrgMc81HiLvWX/PbwV4ME7itWwvFaymbiFK0w9QfVaPR1IPT3Ivii90OTUPJ93br1ZGOY8+fxDu5RxTD1nc7U6IiDzuwv8rr23FjQ9iQgePab77b3YGwM
693eF7vSocDL1oYne8cMiEPTKsYb3aZZK8UVBxvYDV37xXzpi8z1OOu4J4jLvaQqk835t0PTT+tzpWg5C9h0SJPFo0Ob2wbS88jV7+vKRiKT1Wmc87DhsCPZsc7bwL/J68lAXNPNx027wED0+8P4yMPPoIE70aZVO8rWvOPVeWprp0Uu881x62PGQ4mz1huoW7fCUHvBpChDvbquO7YKXXPRmBRrtkZqG9+MGRvB4RDrohsjk8131yvQPSkjwH57Y9U4WZvIbZRr2QK069UAjWPGnsgjwGrp88feKgO4VFRb2S4Sm7IxdGPR6BIDyN44Q9letYPWhLYjxrn+E7kDhSu/QfIrz8fo08I5OBO4KA5T3Rnpa901eVPKxbmzxDiDM9MnB8vQfpvTywWEw9FVraPTVvaj3aINm9NjODvTevwj1kcE67bGT4vM8xX71CeZs9l/+DvS3SDD0mmw48rFF3PVok67wLpYE9jzSJPP1MPj3EeZG9i6XcPDawuj3f/NW9fdPLO1M
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
wvnz2a0sw9qxdzvMVx7jygij29LIu6PahX071nzp48h2/6vdJXYj1yuvM8OlkzvTm//LxO8D89DwlGvVAuubzyFIM9j4r7vLxxMz3XGZk8wcYVvBewlT1RASw9zhitvcO8oDuh7PY88vykPaXwcD2Rmco9syzQvCGJArxSrSe9Kp32PWr7k72gGE89T73pvGhJBT766oG7Z/ONvQuv0r2LnQE+SOpnvaP/a7yt33E9fO/svPXGAT5kj2s8WiJQvV2F6Tzeq768o3zbvRQdSL2W/o68JThsOYlMAT5mqY897c6cPHqugLn1Bda9/P3qPTPhhb1s9MO8eFHivCVD2zzWB588b6tuvSWPG72oPt89t6+IOxukAD1VlaE9TBqevfuIEz305Zo9mAd8vMxNFj1jBZq8IG8jvJckA73xZCE8UM2qPZyAaT24+eM7jRdYvOd8ET28pfe9oICbPaSQf7so+Yc8/FFwvRjl2Tywgpk9PBVMPU/oIT3Lr4Y97Lw3vAKebT3K0pM
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
s9aLs5bXw8hVyqO3Cftbs9msw7DcwTPYaeCL3+e0C9lgQKPT1xQ70AuHa8N9DdvYFCGr1uVIY7fiXVPDYHy7y2iAM8aY6NPIt9sz2Mc/K9tZTSvTJS8r38/6Y9dOiDvPuSCjxUGIs9YxgAPXTcRzxpREW8Ee3avYZ3hDtKmKs99PGsPOWsXb1rriM86anTPeuw1LyALow6rFRlvMFs3zxBE3+8NMprPbOUdD3wV4g9y2sLvcwkXTu8YVy9zoOyvbtO7rxUUk89YMusvL3U9D2vyh09OoHrvHzTujzI0gq8CjqlvTpK4zxLgPk8n2+yvFkyY7sTLug9KlqwPe46CD3LhTQ9LTAavHyP4D2V2/69ylK+O4doyTwvxwe9mgSfvd1/krwndJg9M8SrvBIECTwgfTc9mModvSNLvD1Ys5c9FzOgvSU8Ob0YSaI9+pU/PWyonz1kaE+9wq3bvcA+tD1Zdz49ceMHPZ1XlTyEzhY9dzkZvScsizxUXIC9hOaqPUahh72V+FM
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
y944c4vRwgMrx18mu+qweZPMKmib18pjw9DVl6PWL0RLzpIrA86y7UPEDaTD1lStS9KOqxPUJPGb4OZnK8Ens3PhRmbjxbo4e9pP5XvsQNE73+4M48JtE5vhW3yz10hfU99K+9PWCyprx/cwi+MplgvsOR+L12nzA72EaUvnW0HD5tisI9PZiVPGppQD2AxZG9w8K6vWA0kL3YU5E9zm5HvoKT1T1vxIA9wBzKPEJysTxyVoo8nBqCPYNk4jwcKyU9BPuUuzfxwLsYDN072zZYverljbxJx407odfkPXY7Fr3xk5y855WwOgufPT3SMoq7IHG6vVJl57xsAY89o6wZPbKR8r3m25M9TUcTPQmuVD0WrrS943QbPqIdbT0OCGa9RbP5vSGKnj1ls5G9p6hEvXPhpz0dwCw+cB40PgsEkT2LYAm+/qWSvUgdKzwtnQa+FVX8vau/tj1xOTI+PG/ePR6gtTzOa9y9D7ZKvihtrDzMSLe94MgDvozAGj61Z9w9svJLPdM
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
GSJzxm16S9ek0cvtwOHr3WRay9XD/zvcgf3T25vQI9QVItvd99FDwYTN497RI1PkzCnz2vHt28F15NPve4aL4DMBe+kT3LvZrArL3O2Io9BpE+PhxZwjxabpk8NaRWPvksYr4MSTm+N1+pvPD2vr3yyJg7VMXdPafLjrtqYII8XFcyPk9yE77UecG9uWm7vHjxib7wzzE+yUmRPjwlIzuY+wm+ByCJPjG6ir72lKa+yiyhvU0eGb51bvY9AJt3PrOEBj2HDTC+S1ODPtowmb6rM5C+i13XvZRYI77fVg4++VAvPkEFC7pJeSe80e9NPssxR75Tmoa+YhbBPUr2Rr7x7oi84qHUPJ4yob2Z8FK+lwODPTLQZbwE0Jy9G7GBPTjIWb2jbRy+m4CtvQB1vTzezCa+KItyvD9bB74Upqm8rHINPZxZRDzQcMi8lrj5PItPvD1cGw294g2dPRYtb76pkTG9g02DPY8xv7wS1+07oHBJvCKjIj2XjeI9ITQ2vW9WkT0wfdM
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
Y9z2/lvAsAFbp7Cp49X/HfOsKGjD0lxNy5g4IzvSPVYT0Ptco9phNou3KjJL1xme09y+r1vPejFj3nGlk9lIBvPWabzTwcZhg7qLcYPXTMAb09vRu9u3WavemdBLx7VuY9cNEIPQYB1Lv0PhA9oH+SPGjvLjz3Vv28vNLMOg15TT10n4499fddPWRAiDzCWcG8E4KyPS//tb1o/HG6oI89Oz1bzbyKZDm8f+2WPIvkyjvDVXm8iMdoPTtiYT1HWFK90Uc1vTMOXbzpHzM9MLRcukdXmT1J1Iy7okUxvNg9rzuxDOs7XMUWvEAeJz3sSqq6FqZ+vHk6Gby1HZU8uyIHPeq4Bj3jzOg7ViVsPNr7AL3T5Fa9DIIMO3q5BbziKQa9FwxYvRyKb7kVCJq8x6Y+vZRKVb1vVVE8WkRPvNAWk7yp4Ou8Ei0oveOnabyYqKs86aoovfprFT3td8s8m7V1OsDAsbtbqeC8m2TgvEHgkrxg80w9fPYJu6ebWD1HFJ29KCqEPKM
CUDrwpDsm94gbsO4fwoLwwdPU86cQdvfYTq7s+52I9VXlKvXMsaD2P0b08sSIivUvHoLwr9CM9a0PZPF/OgTyNJzI9Vsk7PIpBybyCaC895SSWPEvezTyp2Mc8HNeIPLQ7R71kZwe95OvOPRMYhDys9628bL41vehvgbppUIG8bPIHPAvsUr13GA8+TZlCvcQE27zC5AO9hd5pvQMa2DxVM4e9636JvQSIcjzslIs9lLbmuNRGnrynVwm9waEPPLZgKz2HR0K89mkqvCQHz7vjNLM8FDJcPerlsL1dAEo8ixy5vbaDsz1x3eC73JRMvezcT71A8AI+KjrQO8TAnr0Xffg92hHjvTwBAj5K0E28Uni3vUiknT1zEh8949YcveFGqb3yUac9RqWaPLhOcj0mJwo9FyDnPNqqwLvvf8g7MTTJPexsEb0S89Q85rMkvEEUPD0w+Ak9T4+jPM+GljtPrcw9edk6vWkgtL2g3xq9E7CEvSInNj1IgMU8OG2iPYDfJDs/qNM
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
i8Ewpzvbfc7Ts9wCi9ilLGPIn1H71kmQ49t3AqvOotqrsYbWK9FqWTPfxsbbxDgp69Nn5NPIUQYT0dZ6C9ysFhPa9UyrwGEhS9csssvUXMTz0xFoC69LBHPTP/qLzobzm8dGRZvOzCOjuuHD69f9GRvS6nbb2J3B88J2pGPQWlgjxDbuK7/As2Pa/UvzxYmd+945aFPUmL+LwiVhe9p6kZvU2hGr2hvWC9K50DPd89pLxIqrU9ge2ZvGXAlz23Uc88/5LdvWCV6ryRxgY9ivvmvDlGr71qV5Q9l/v+vUoD8D0thqa8JBOUuxa4Wz0M6gY8nbhBPaGycLqPnFU9FoIYvacfuTy4/aa8s7HTu/JEMj0xHgk9wY2JvOhEBL135l89rYVEvfSHgD0mm2q9jXxkvc6dIL1Iwy89eIkLOSxzrTzLSLA9/TiDvf3PUj3OMIu9k/ntPBz9krw+ENE7GYECvF/yUT0F/mg6VAPmOm6wA72ew2Q8l2MTPbLk4D1jsLy9s03wvGM
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
05gRd3vWiBYL0AZNY8N5vOvY+Mv7oaNxS92CmDvTx2FT3hodY9ySi6vLWxc70TJ4k+SDqOvTBxOj6b4yQ9KfxBvpugcrw3wIY9IwiHutxrNr5MFxE+kuizvQlCbz6Mo8I8Gu6vvQi1872BYf8815E0vYgLQL6IdMI9soXwvatX3D2MoIO8b2o+PVeYEr2G8JO8/xDJvViiAbwwabE9psc/vDVZkD2CZ107/f0fPaCabL0I/Xy9gNLhvSOKrr1ly1Q9p06UvSE0qz2nZ6m8FYihPZP3gb2Jf4O9ulaNvVZOZbwr2G08ClscvRpibr2OTzI7AZB3PT/24j2PgvS92TjFvayYPz38A6Q8dZejvFwfAb1fM348PXIkPiW6iz11bMm9EkAIvm56Fz7dHqO9+CS9PX4I8r10gxY90on3PXt22T0FF/S9HtmwvRXnUT7RfWe9KOlrPW31Vr7XuXI9mxilPauf1j1mOHi9ZwTmvaPmsD2Mi7W9Mz8QPYakob2phnU8aS6yPQM
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
jO7bwPCY+9AtMEPGRUtD3Q1Fe99ccXPdT+ybyQBNe9sYXCPc0ZGT0XDAK+B/jDvJlw9T1ihfi9dgaivAdxVb2DZMS8KtkNPHUiL7sxkBg86rMDPcaYBj28uIK92xr3vFPkmb2ROCa8O0EAvZid0b3A+aa9CKXfvWeBvb2eaU+97byivGb5ET45jzG+IzRlvPlJDr5x7EK92UbEvKijYL2iUx++kOxJvSfFdD0o2BS+7iMzva7SBb6vbqU8elTuvJ72oL2c7S+9wY6TvQ8Ro7zwGAC+AdyBvRIh2j3ans+8j2sQvbNgUT2UEEU+QTBSPS6Y9jyW44G9aGkAvmM3Bb0ckZ+8FcQIOzAVybv7/UY9sbuTPV2gbD3AlMS9KdWMOTVCaL1Jdmc9h+zJPB/Morw1R5Q7xtAbvWATUL0QS4C9kt70vHrpNz6BcJs8+JioO9I0AT2jMaM+sPkTvEdTGjzZ7RI+yMUTvvT8iD2/6Jg8cd42PUeV9b1XT2U+0ae7vLgKwz3xo+M
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
294GuTveK4572G9zY9JSvWvUCcBrtPvDc98KwSPQytpL2g4DM9xHblOx/4uT2tm7I9yOUPvmTWar3pF5m8ekmOPQV8S72UIPc9FEO0vGMl2zzWxj09J4lQvNHZAjza6Io8CUJ6vaZyi73ON7Q9L/jovf07Hr3g1109PTdCvSvLBjxSm3o5fitZPAgdVjtFff89xzxivOT9YD22Zpg9bWVBve2dizyxuG27vFzZvF3/oj0EVtk8hatFvKvHfbyjOQA+dAiovRpI6DxRDWi8EuTrvH+nF73gLAk+q2SQvTfBL73jlB8+2LgavesEiL2Acje9qLi+vIlDFDwr8zC8WDaPvErA/rzcagm95q9kPakbpb0EWIq81H4wvJEfIz0WBoG9UHQavbqDTr3FSf48yO9uvS0curuemsi8viRcPUPuhjwYIzk7l9sPPTjqjL3No+08oTA6vN94gz0+GHq8u/mUPTlLfj1ORLU9WlyMPUw2grw7JA49/cFKvKNvET2ONoA8iu+cPUM
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
jhVD0Z6JI9taVSPfuLUr0CSoI8o8VGPLVTObxB/9k9rbM4PRglTzeF4UM9Oqx4PCIAL72oSpm8A1cDvYFkar0TKK68GamQuuxoab3dGNW8nUycPfymRb1WvqG98mrEvIhTST1wD2a9Avd4PSLGVbzDaWU9htOsvNITL7yOAxW9eBayvdEvN73hzNU9eJaHPX7Zy7yMRxw+NiMyveqIHrxy1RW9aROGPFy7m7sw5Ru8dyh7PWOKq72Acp+8sqtwPRB3Mb2Gcoe7x/nDvF1RTz0h5pG9CfO7O0gzsbvifT894sEwvfGMlrvZFYs7yowmvfo4Xb1OZb09wiYkvZVOuztv8549m2gTvWWAAr2TG6c8nlfhvOwhYL0Cyki8wLDMu0I7Ir081ss7WVKUPdGNeD1CIKe8IDnIPE4fuTyUKGK9EO6XO+Ds5jt7ynM8AdTivIxIIjzgORI9Tac9va7mN702PKi5IviZvM0SXL2QH9c93fozPG7NZ7xE2dU75K8nvQdIhTyIcpM
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
S+wrOiu6Tg7r3pZPa9lraUPWebUTxNCZi9xEaJvTDU3Lzvzwy9ZI2ovfyVjLz3d9e5zSHUPW2N9Tw0ixG9948+vQc/ar3jqy29ObkmvS632bxoNmq7we1gPdBDKz0FIyK98wkdvauAzLxPy9O90M2uO7nI7zxaS1M8B1OIPQW5nb2gpUy9+r7xvQsChr0AHfg6c8XVvQJcsT18lkK9MP5gObiodb2nXeY8+FiEva+k3L0bv/k8XsbVvcek5z1BjYU8NMRBPYKBQbx+3EI9kXuXvXvav70IMh+8JaXQvTr3nT0ZS3S9fCS8u7rRPL2byPm8qb62vQvVob3VZEU9VncBvtGIPD5yXvw8eNK7vOGN9TywfFq8ArBKvXH46L1WmIE909xIvv6zDT7XrIg9ECkjPZGegT1140s8khgNvvmUqL07maA9P8mzvf9I7D3fHTU6wjlQvWuKa70iBm086ihyvSaQob1liQ4+bffXveWo4D2GOSS9H/thvVi+dr0qEcs66HYAvWM
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
K7Gn+dOkkJNr0UW6c8ZZNpvaIY/bzE+WI8Wi+xut3Qcr0/+UE9Sehcvfxe+ry7+LG9dqN9PUulRD12GpW8Dk+oPB+Gx7sImiG7LSmSPSzlWr36yx49muQLPRuGRrt4XDe91mFivJ+Ww73B1BE9R4HKvCFZBr0AlJg9Eq79OlKsNDuWVJC8Mr4DPYYB5LxXKqo9C8jXO3zFmb2edbo89N4UPeAllDux75E8U0moPFcIKztwZeO6kpBGPRKn4bzfU4Q84z6XPL/cQj0+DAS9WgRwvQSvM7vXtfk9s84KPc0v3rxoosw9Q1dgvCefH71NtTA8G45HveZ51jsEDMw9+BFnPX12VL3ZTQq9H2rxPD7UZD0QcdW89qSEPFpLPr3Qf9I840VSPYT0LL1uzK88JmUBPHVVzzxsT7k86AWqvYOyZL3rt309jFUKPfWwkr1XU8Q9x+x8vfwnWj26nco8duN5vd4ZqbwZXqY9WPODPTUS9L0JSI28p0FmPWhh8Tw6/ks6Er/svIM
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
3nl73woRo+jevgOv1c3r0hCQg+S52ovbBAFjwftZW7XvsfvbSrCj3PvCI9ZKaUPSnkkL2JCkk8cTQzPTlkETzo6aK9g6ACPUwzHr2Yxwi915XWPRNZ0Lx9JpI9rIUUvc8IqjwyxPi82HCcvVuzGLw8+rY9XZEzPZs1uL00EKU9JDC3vQCxqDx0Tai7im/JvGiH9zwiBT49eYRhPCPFib1kkGw9Dn28O11fZTwDRYy9Z9tMPP54pjywakS7mxAvPYSNELtgcJo93WpmvSTDFD12rPS8wmAUvL7yK720dP49U8ZfvTxDWb2g9mM9wV6avT4yQT1+y4u9ZAyNPBl5Bb3Y7R+8bsVJvYUpg7273jm9y4oZPejSMDo5CkC9U3asPH1887wDWdm8hG11vKa627y+VCa9OlLevJSivz1JB0+98y/LunCvSb1sJFw9lyUsu+R36L0cTFI8PAgGvdVByz0jb1q9G23AOgsjoL1b87m6KpkyvcX8UrydA7e92gpZvXh9Nz2Z+pM
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
w8YrIkPdLqMr4gyBS8uQjMvNT5jb5Mpx4+8BisPujUPT6hR8s9DjSxPoG1pD5+Os49ni4mPqtLgT4OSP09y79NvPoeer4djLO+g0QrPjhkvz7r2Z0+nyWbvhL2uD6eu9g+2xIRvpA1HD5h9He9XbKcPOf6CT7DirQ9GlhpO4/fhT1z7Pe8X+9vPi0l4z6dTG6+v/T2vR0oITqLQr27cWqUvTNR6Tw1I8e+eNtqvFh0tD5dwSs+Ioycvpv4sb1uQJW8IAOBPlyihT6R9SC+mcx5vkdYjL4pA0Q95cDJvUX5lr6fiei+Z8CfPhqVsL4M7rq+mgZqPhlJur6MQKy+5nuTvgvZOr6aITs8o+fSPvMhmz5x3kY+d9oFvppE2j7Hgse9xHxVPjzoQD19CK4+AqbGPob9+bzvDF4+aV9PPnWWuL63qic9Yv4CvYmlrD69IwG7+6DzvYsEKL6amn69aYTyvVMXvb3Qk+49vSBBvjMcq76CeX0+CKWHPS89iT2ByNw+tn5bPSM
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
4+PtLJPcvCYj1Utww//x2mvrLdHL/9xNO+WA0OviFjWrz0tRC//dXDvs5/kz5jHNs9orKxvgDUGzxrJwm/jT9BPxklJj4a4gG/GPQ0PshYBb6XsCe+FIeHvpDfFz9mpD0+rpCePU+ldb5M7hM9t4WxPu3Psj5cpk2+Hx0oPjdgRb4=", "training_traits": {"structure_gen": "Random", "n_layers": 8, "max_nodes": 20, "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){cM
onst{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;thiM
s.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.nextSM
tateTimestamp=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.nexM
tStableTimestamp,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.sM
troke(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,eM
)]}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.M
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,.0M
01);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(215,24M
.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(124.2,511.6,159,472.5,194.3,468M
.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),eM
.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.bezM
ierVertex(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(46.8,164.8,5M
3.5,143.7,71.1,126.1),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,M
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(436.2,373.1,435.1,373.8,435.2,M
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(84.9,440.6,66.2,412.9,66.4,380M
.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(129.4,45.8,133M
.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(438.5,12M
5.8,455.1,157.3,449,188.7),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.M
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(109.1,296.199,106.6M
,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(169.4,1M
74.399),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.M
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),eM
.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(223.8,113.499,2M
20.1,112.699,216.4,112.499),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.M
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(28M
8.1,346.3,279,350.9,269.7,358.3),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.bezierVerM
tex(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(299,27.9,318.7,34.5,329.6,4M
1.9),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(380.7,107.1,378.5,111.8,371.1,11M
3.1),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.bezierVerteM
x(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,M
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(315.8,473.1,315.8,473.1,315.8,473.1)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(9M
5.9,173.99,96.4,168.199,102.2,168.199),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(197.4,20M
8.99,199.2,208.2,200.9,208.2),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(180.299,417,180.2,415.8,180.099,4M
14.7),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.bezierVerteM
x(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.M
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.bezierVertex(M
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.bezM
ierVertex(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(371.199,278.6,368.299,281.2,364.3M
99,281.2),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(308.199,314.2M
99),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.bezierVerteM
x(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;return M
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_unarM
y_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)nM
.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.totalM
Neurons),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=M
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("ResM
caling"==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 ArrayBuffeM
r(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"!==argumM
ents[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 M
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.eltM
.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.styleM
[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!M
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.fiM
les[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 nM
.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("typM
e",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("applicatiM
on/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;M
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="217";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,DM
t=!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=createGM
raphics(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","#fffffM
f","#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.addEveM
ntListener("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((eM
=>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("CloM
se",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())}funM
ction 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(),closeSettingButtM
on.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.hideM
(),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.$artworkNaM
me=`Perceptron #${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=>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,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,M
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 $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.puM
sh(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,windM
ow.$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(EeM
/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,zM
e=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)}functionM
 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,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectModeM
(CENTER),ne(qe),qe.textAlign(LEFT),$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.strokeWeM
ight(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)),LM
t&&(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[M
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.stM
rokeWeight(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,wiM
dth/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 imagM
e 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,heighM
t/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(MtM
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-M
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){if(M
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.lengthM
-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 iM
r(){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("PerceptM
ron #"+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 STATM
E 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(M
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.strM
oke(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=M
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,lM
){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.puM
sh(),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.rM
esizeCanvas(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 ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.lengM
th}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthM
ood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.M
getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${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],["60 M
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 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}}funM
ction 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.colorPalettM
  <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b60490a8d443fdf","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_109", "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": 6, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "relu"}}, {"class_name": "Dense", "config": {M
"units": 3, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "n9IwPadMPzzc0x89QWCQPdmT8Lt5I0A9q2OLOygZwD1gKIK8wv+8PUh8vDwWzqY9fzDGvOWxMrzB85A8p3uRPDpayrseCQ89l7XfPBUsXj0SfGc92TBzPHeI6bxdknA92N/OPKL4Djs3x2G9LTqIPfkqFTzGEra7KAvDPJybwzwI1ls9EI4PM
PB+pQb0J/xE94h93PeSndT1Abao9Ys2VPG4uOjxF1Jo9F3EkPeVnIjwTCGy8gYP2PbE2Kz3HSTI98FhzvFTLsDz8v0m53fhEO4RmZj1NKfo8dTqQPGt9gjyogVM9P3uIPdDiBj0kNXe8rBakPE7Z0ztNi4g8gigVPfJVoD0BgIa8fncxPZjNjDxj/2Y9nURdu6Jb0T3zorS8IY/zO3SOaT0j8xU9C/NPPU6UdzyanGS8m5aWPGYgOz35DnC9BHn1Pfuccz2h6cC73DFtPRVGZb3EjR49T/mBPbxkhjwQ/ms9ajcrPebIbj2YIbs8XQRsPCFLQ7wq3BA7TbAtPczdnD11kS678YGiPfKa3zwiHUU9mc5BPaVo0brkgco8oWMlPXIDlT0Y2rk8ZL9mPCD7cz0xLKM8UfSoPeh6p7u95fY7JSQLPB5CbT3IVp69TlMUPn3OJD04RwY94VFOPL/02rxbp0W9vUtFPR3qsD3g25I9bn/SPe4lVD3wRmw91luDPQBWNj0rM
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
PXL2Cj2Etcy9OXYGPgdesDxYhPM9i2PaPe3qpjxKjw688A1nPTD+pLmsttM8waTkPQfMtLhXW5U9ZGj2PGa4m7x1//g8bwWzPB1LnzzcKLa9zbvYPeXaNT3NyLI9YmXuPFHC6TxATVK9fvUNPaWhlj2yY189h9afPIP/kD0+tJw9iXBbPXVDkrwC8MM91APOPASfkj0Tthu9pu4wPj+2hj2Qg/g9FGfKPfqw5DxWrYG9XxmVPNypsrtvnxI9JfcmPB6vLLxiOyE9Gzt5Pfb1Kb0HPLk9uufLuq1LED0HAsm9HzbGPbgBAj3rdcc9RorhPGOpeTzMUyG68atqPQeE1zwkFv08CujxPDeCMbsjsIY9S3apPdUsPT29VXs9on0aPfv+3Dw4x9a8KeTsPfsJgz0tp5s8/xCWO20/AD0p2tM8lhKfPJAHvDzWn9s9xYuPPQdpB7u0Ivc95ch2PBVM5LtJZDs7/qjLPITigD3YGlu9bCRePaamkjwlB1U9U7WSPabGpzseM
AiW8drB/PbNrRT15odM8JfuPPcYyaT2Zu9A8nww8ulyEzzyTjCq7QTQMPVZLQz2dh/u8fpDtPTeEdDucbok9OnCFPXWkmTzroEs9QOkQPaAm7Tz9Ioy8c1UJPGn6+TztYIQ9eS+mPTP+gT15lAU9D9+7vJqIiT04qyU8UATjPWhOCD0970q72y7UPP6NZjvhRb87x9EjvEjeMz2i6A09ddCuPb36bbxMOpU9qdJ4PbhnyTzYJaY8UgGLPTKECz3sBJq9MOj9PQ6owDxs+hI96ciJPJeOgbwsNRI8Ry6dPH1hibtf71c9cX1fO1GSE7ucRIc9/5nSPXDan7yrRoo980U3u+w+BbtI0DC9YaIQPsHG3TykIaw9J/NWPS4WLr1I2lo9rs6sPbXbhjy7ZQU9CJOqPT6zHz1PMqg9imC9PTyrDDyGFuQ8BJuBvJS5gj378sG8Jr/XPYdWkD3rB8w9Ci12PcOXIL3RMpS8waCEPWCOtTw2Hzk9ns2sPbbOoDszbZg8tyJuM
Par6Gz298qM92/XhOqmqyD1olJm9Sj3oPaL3dj0NRq49cqspPTsjgbrbazK9nsmxPL5YTD3AizU9ENOqPWh2HT16O908huYGPWkXmzy3tZc9iN/4u9phqDz1DIS98iHtPVPEnT3wwNg8aWbMPa2lzbzSDAu6iNJgPZy8fbz8tFE91aylPdBQYj3QrE49xZh6PWR9VjuB7lU9mTRVPXqDBzxv2Mm96oAGPp6tkzwan/I9rxnEPYYMk7yu6J28T4IcPQhTGj3N5WY9V2wUPc/q2TyS3QI9RMlzPThKrzswdTg9v4S7PaFmDT2jQ0C9FijxPQWBlD0YCBw9PTUfPSwqdD3uWXG83GB7PWmtUrz/GuM9z6mQPeVLJjya8eY8pcfqPDgUYDtTJBo9IZiuPfm0ID202769CXL+PZfa+7rq1Jw9xGSGPQq2kbzxSJa72wJZPQaEFrzcc7s9cWCiPW3RJ7y2uAA9DH7kPc6mCz1FPaE9GAYdPe7HxD08ocO9bGoSPnTWlDz6M
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
PTatbTvTYui8BGOxPF7Rtzy7R+M9toSgPStSkz31y/85o3ooPdzBNL21iHo9CZejPJvzWzyLEpa9XhbsPUr+IT3ytrA939nRPS21YT3Brgq8F1WVPVAw27uzbBw9haraPXt/IDwayLk8/6xZPXN2Kr2CPso9FkeEPFpMqz0Ff1m9tjMWPrneSzwRnrU9eUHoPTekBb0Bf/k8biZzPar9tDpnvCo9GJBQPd+NprtJoRo9cGTYPSB7ILtfUqI9DYncPMoTOj0Htp29GC3PPYJePz2RP588ma+kPfhVSTytwti7h72cPGJdjj3sEgQ9p3k0O8HnDj0bCtM8wAicPGOAIT09z9Y8IF8lPflwiTo7qLQ8TuTTPUahPTzpKIs9WWw2vNWjcby2nHI9QdgUPUaFoT3CLKw8icqpPA1QYz0koRc9NlVJPWfUUz1SLWm7EqACPYjF1TzuXAG6wNQZPOde1T37SeI8iU5iveXd9jz227Y9e+xUPHNaWz2Zua28IHwxvQViPDw8M
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
vJM3Ab0NgZW8eEzLu5ONWbxQApE95BRRvQ/gdz2ac8q8aY3EvRGQ57wkvmo9QLQzPZPqGz1E/Xy9Lb3CvZWX4LqSlbU9Wk30PDjonT249cQ7ELZLvdU6wTvrlYw9HdtAPWIxcD1gPy46kctPvKXc37ySAIA95gOSu8jy1T2/hO08SyEdvMqtg73yS8E9KOtFvEhUMj1QKeg8urCMvBWTlDxDy+c9hCWZPf8gwzxkJWc8Ch+4vP+9mD2OUqK83MNhPcIN9TycB+Y8VAicu0/BKry+EQg8pE7oO1WpPT3rJCo9Mvu5PLXolj0i/m49HN71PW/FVDwCd3E9rExhPIZyKT0F9Jy9BvTwPWrVST1319Q9H7wBPQey+bvopae86+pVPUNqSbzGZqI8CE2tPcQNgTz4ttU6cV75PX5dnrzlbMQ9Mx50PCDqzj1GEHi9FRYEPpa8vDxBuMo9U8ziPRDOQz3ofNA8msN4PSRXWD1wKHo98YZkPY7gjD2th6o9xZ2fPRHvZbxcM
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
vBhNKLike/083/KKuwcceT1y9nS9Ag2lPZOPZrzCvWs9bWxXvEFNajw2mPC7Nrc7PU6Mxr1rvSk8kb0Lvb4wsjtEmvc9t/YavPFLn71Xe8G8x+tlvWYugj1xIkc9iUTKPRPwwL3F8+u84Fe3vWiiJTysQ2u7cbeoPa3ZOL2zYBY9uaS6PMFoiz3GUM49yeECPA96Mr1dBVY8r4FaPe6mOj3ppY+7YmktPdkkw70BjIk8p8srvQe2Iz0/Cfa8aFZZPTI3gr2p4EU8S/omPdfFozwdG7C8+P9OPWthpL21LBY9beqBPc1H5D1w5mG8n+/PPdFHSL3/XzI96B16vcmhEz0APXk8ZBhJPU8M1r2fnho9+S4HPMKkkD1H9iW8IOXbPBgX9r2YDR09jbK9PYEUTj0Qroe7Il6SPcuzGr5kUAY80VCcO29i97ujEDG8xOcEPEYexL16kPY8+MHfuyOLeD0AwcQ93+PHOk1LrL0jl+i7kg8IvZDgCz06ldk7uR47vcgGgzzAM
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
vEVr8T16x5M9IaFkPWcvbb3J+rw7SoEEu4em4z2qtCy9Kp3ZPLsgnb230bc9dzmFvWCZ5D3ALLu81GuCPXSz27xj7Bw9+q7bPIxbyT1lfcw87B9jvB75ob0okT49Jh2lvIUJzD2XNBI9w5nkPZcMh70x2wE9rNWlvPgznj3ahfo8JjiTPV4h2Lx6KZ060MM2PYHl5T0gq2E9ddonPZ6/mL3GYXA8stYPPB/oij0KTY+8RyIEPl2bk71zJks9KE2pvX5CDTz1AGA9lI2yPe15FL1Q/KU9tYEova1XED1BQLI9ipE2PSqdqb3nPKk9rhdJO5SKAD6oQay9VZWQPZw1qrvsTo89FzUlvDo3mDw/dNu8v+e5PeFK1Lxd40o8VHjeOx73ajxLnpM9lmu8uRL3ebzi8Vk8cVQfPNVkDT0B2/m8VFCcPYQapTssReQ8+mdfvXNGQj3Hwpw8XLSEPajJML1SRTe9dJ8rOyoAFz0iaKQ9uWuyu2Qodz0W6wq9dYpxO1ZaF7xJM
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
vXhfBb2rOqW8UWMivX7bpz25oP67uaWEuWOGuL1tfYM9YOxcvXPlz7yFeyS8sy6BvY7e8rwZN/49AGzLu0CVij2u4Xu8jOGEPAQNZr3jEoo9Nnw9vZ8pSDy+rae99OE6O9FHwDsIjxO7Q3tkPHhFIr1scci8fUcAPUKJ0Txce1Y93DXmO+YlszzcuUw7rq+9PK3di73eAhY9zJSYPCMwWLw8e3y9lztqvTcsl72NHNS7AP3QPEhn67ytRIq85eyCPAZzjb2AFQ89qAEuvbgaFT35/Ua9Xa7ZvP1YJLxss7M9mLMfvTlHCLzj96+73ohVvZ/tbL1Pb1w8rouMvatHC71zSjm9vfUmPUpyRz2fR+y8zbpQPbko0TxRr2o87VJkPd2ayLz0eRK99L3qvI7xDL2214s8s1XXPAG7eb1eMac91myLPCC6lTyqZo29+74+PdD6Gr3pmWe9GS6uvHeV/zzx+0U819FfPeP2l72Rctw8V3e7vO67JT2Q1we9L6O9uqw78b2KM
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
v/y8g5GbvURIXzwyWJ49rR27OyqLQb2zKQw87d0APLkBCj70fbI8j2LhPDt6obznf0g7eHazvOi9JT4p4Lu9gL2kPfYJ3DsXKgc9N6KDvA631D0MAAI9LxjcPLrpFr2PFIg9x80QPMlS2j26XqO8oZIOPgpZjb2gfuk9w4qCPLGjxj1rp9+9YY9FPsTrGb0mzgo+T6RuPaS+Xj1xpyk8+iWGPXnyvr0MoL89ROjLvCtvjD1F7Co9bku8PYFjHD3AnKQ9kjAJPTMH0j1kl/W7hzABPpq6Tbwzd9U9wtV5PUUsKj1Jvv88uewSPK4/DTyA0lU99ZDVPVNTxTzWIYc8gZz0PbcJGjpBa8Q9AXBnPS/B9TwM+Z28ujHqPcWV/TzIhIY9zbDJPKcQAD3H8b+8RcPRPENTqrtxpFE9AWnfPehEdz2ABAs9Ds+6PSSHAb3o8Lk9yl5JPVSAwjwWcjG9OwuvPW6rTT2KLGU9f7XcPMEzPrurFAg9bO2CPSzcGz2S0Kw9H7y+M
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
CYg9+cg6vjuanz06uGM9FpeEvaMGK75h8oa9FaFbvoXskz0Z4rk9Lj/TvamjLb5eXhS+6Ecnvo3Xhz1ls5M9Hg+NPD7BDL7iPcK8MObdPRqHdbsM1xe8hjSmvau8JL021WQ7cMCLPSYWorxTM7M9H1Nyvd/Ry73mtpy994KFPXrtGz3/QgS9QBM8vAStr72Fuiy9nwMnvcR8HL7OVyq8qgbbvQRMnj1KDjo7p1Z+PF6lGb4qbp28/FQTvs1+wzzDsji9w+IrPWqHrLwCv269eMm1Oa2ZDLyxFEE9MatLPP1KeL1Ru4S9LmePPJJ84DzEd4s9SsXyvLy09bwaTvW81a9cvUVNhT0E1lk8Jj2ivJN3yb2hQxW9gHH+O/dLM73aZ3880fTyvLWWm73W93w91sEDPahkj73XLIq8TZSQvetShr3UaKq66BgaPD05AD15MGa94s0LvFaUqLtUk1g9GisrPILsfL0nhq8817NdOxG/37vfHFu8xH0YPGRAlb0KBzU8SpMVM
PfcyFj0gaBe9iEhZPSuZ1Du0GOE76TiivQpxXT3OSx692DqlPcun371jKmo966tWPUKz1zzRY4A9edsNPD+DM70tzTU9R17ZvPJ4o7wW8tM8HSgXvPV4ED0w/pI70IaiuwvgzDxeZjW9/oxzvDjf8LyUvw+9MJ06vbRj1LzVrOU81OEbPVbaZbyVXji8y/d3PEw8yTyhV2Y9WEaOPKP3bj1U1KC9yCouvbpFxbpMZs49JLm3u77oLz1hbHU8q//evCoANTy88W89pZ8hPa35Zj1iKJk8fscavXVJfb0KXP47FkAjPIuM8T28UsC878UoPd6Wcrz3Keg8AEIrvdlLNz2JG3g8nCOTvTjK5L2Ao0c+2fhavaTcoT2zvVq9lnrUvfdKoL2Yj3A9gIl/veV7jT7DYbK90WJ0vOXjqb2oppI9cWOzvcRjFj7DK7O8BfSXO7Dyj71Z5sw98AOtvQFLpz2g1Ze9y0g5vYUtNr4PIqM9xo6IvRfv2T1ujcm9tdziPKk3Cr6zM
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
GwO+7z1EvhU6jT7cctS6XQhoPclfh76z+BC73KVrvtuXVz47op080O3fPCIow76DZ5u9SoymvtLtJT78E8A9HmI+PLiRtb4jpzq+fbKevhgkSz70zos9ASCKvfAuxL6lqlu+TcnsPb2VAj7Fsb+9kOPMPLKQlL0IgKA9E6XLPcW9ET4C2x6+896JPZJtBL5asxg+y7eZvWuRLz5wzl69cbpcOlYuML4mDu48OvkSvfcm8r0w1um9ueDFvOtx/T2hcuI8qdwQvbuvJr5MWA28cuXRve7lIj5WjEk80ujNvEpJ97z5/wO9ij2SvffUPj6A6GA8xf/qvbI1yjv9rvG954luvcCt3D37bwA8LMr+vR2JIr4OVns953cCvqoB4j2GdAC9sKVnvjqPFb7txM89PuJrvroK0j2RBhu+YS8RPqVfU738N9e9tOMLPVuh5j0whPI9b1s9PisbAL5Yica9uwb8vOFvXz1KLH89QYlTPiY/TL1OgxS93K8ivCc7DD7gBqA9FW6XM
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
PWtWSL18klg9GJaHPe0zLL0FSdm9iS4gPfCMar2Zkas9XPsaPGJHL72ptwC9k4/oPFB1OL1mLy89DddiO2igkzw31AI9v/sxPEIiv7343xC9KUD8PF+cM73WyL27XfU9O1Eag70kJ4i8+VIGvD4hBb2nnRw9Tn+oPLGoQ71TAkk8NgiHPFLcXT0StTe8VnLyPfdXar1MPPa8OCEKvdFJDj2fE9U8NRu9O44ihb04WVe9DVVEvB2oizyJKns9yco2u8O+Ob3YoSk9kTKEPItsI7s3myw92m+1Oqv+pj13pLa8Qs7fvJLqSzyk6TM9+rnMux2njb3YhC69dVArPV1LKz3dJpM8eP3aPJRdlLz5koW804IyvRQsiT0LVQ898dFrPVklPj1G8SM8Rg5GPZ37Jjuj3bs6QVyBva48Gb1AtAk8jQOpO7aPwTuGXDE9MFc9u5FdiTzmafu8amLDvfZBzTxuVVI9EBM4PekizD39Ila7Mf0hPY/Qdj0bWAo8SZmSuzxKPL1vM
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
6dg7bTU1u/p207w/zGY9CvlgvDjmo7wlVH+9+0oiPcpxKbwc9YU98U9nPG2RSr1/kh495rs5Ow5GlL3vgrS9AV8svZeDCjum9Ao9r8hePcW5cj1rXaE7AQoePRmDmL1fdfe88o7oPdNEWD3FKj692a8bPu3F27xzxgQ+Ka6hPXmD5DujiOC9YLFUPWVsYrsp6xA9Pz83PMgBrz1+Ubi9fwnWPS5wTb2TG1c9J5NFvEmjz7wscaW87U84PbLphjx0z488XeAavRIjvb1/B/u9HhycvHqSmz3nWkA8wqmEPajakbz2whe8qf1GPXIVLb25Keo8Wbm1vb6tKr68vBA+masIvkuuET7jf8q9BZ/6vRzdLb74Hkk9YrdMvpYIuz1uNP29iRBTvaTdub3yfbo9LoLtvbkv6DouNje93Pqkvd7HuzvU04C8jTXnPTvuhbwrFBw9wPQOvfU0Cj7rZG+95rXZPUOYib2neLU9Ix8UveVbIz4F1eu9A0cIPlOQpb009HQ9pC40M
PUXgjD2yHue9GCIePqvCg72ZgWc9HDm/Pb56JT7JN729iiYWPkMqkb3x+v892v84PJC2/T2hGoY990uHO5G6cr3xcka8lZQ+PNICYb370ZM8LaQ2PBYMvD2i7i08tmyJPGzxST1ltwq9XKMAvXGzeLz5qlu9N83AvbvJdryNur09X7CMvf/Jqz2IKgu+8kOrPDZvYL0g9zW+usHuvNr/WTz2Bwu9429OvSXcXb15q5S9StkNvn3qjjzuEq69hu/ePCCD8jy55Ym9RKeNvTWAaj2K6J088ZpXvGp21r3exge+uyjavRAhpT2UMRe9aEqXvS91P75xOyw9w8AsvhejyD0qnk6+kMIoPUcMpb21pZO8F5tTvssYID5cduK9CNtVvvcIuL5macI9Afd6vmZGgz5zX32+gQAKvmEttL7pTnE+IJGevqZviT4OHpy+AyDVvY/wdL5THE0+ONKlvgIgYz5SfW6+Ak8JvmTslL5wsCU+5YyMvh9+cD5OkVK+zJvZvfxIgr4eM
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
BI89zDIgvNjwQ73qKTU6lHkMPDxZRT07jp69VfaZvVK9dLtq1hY9PmfBvcwUj7xJpFy8aQoLPUI74j13rUM7JUkUPm9rmr2n5rQ9EiCAPUprnD3Hp9a9w/kYPjm8sTwvEfU9AJNGPQKn8z2MFfs6PUSWPH2Tg7243pg9PVklvTIdsDzelIE7tjjVPVbVlr0PXhw9RscEveDBvT2Ffim96fndPY0wQr2UqKA9NBIUvX5b1D1oN6q6HaA5PZvbDr44fHu8jYGuvUKmgTukurw9uNMqvbCTgjzGnBo7kQvavcfKyb2luXo9nWCvvcP8Cj4YPLi9E+XavJj5vjzQm8A89GCMvNlC1bz3wwa9kAWWvYgg/b0lFRI+PxcPvdapuD0irKK8TsIivlJ3ur2ztN89+sQSvlspLz6PfJ29OvirvcQ0Q72edjQ9QFx5vcyFCT1D+Jy9O20eO70P9DuU56c9xLZnvAHwN7xG8Qq8jTxIvVNdYLwysWW9i14EPUttIT1z5A+9dQPxM
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
vakNQbzeO5Y9H86VvSloaD3G8Xe96iK2vE5+qzxVAOQ9+92QvduJrbwfgIu9IM7YPKquyjxWr8u82SvFPf0HSTyA4hE+F7yaPQecWj0vcgW9uJjUPQIfVz2J/qs9dWmGPJzQQj1HlTQ8CrkvPVdiirzftW09Y5wiu27KmT18Oui8ACqGPdPI971MDPk9I5lyPUqabz1yYv694wMEPrrv6DxWYeg9rjJFPP9O2T1d6Wy8cG5OPZnwiL1NiU49j9kMuz95XLzNLLY8TgoyPehEX704aWw9mNlxuw/4Mbz2E4i8PfgrvKVAhz2yAuC8bgvFPDUNqz2N1OA8bDPePA+FrL1pOHE94B4ZvWDfKb0qkdw9lBaGvRGlsLx3RW68pKZxvdutzr13viQ9XYbZveCsvz1Ncn69NDicvUQ5y7zWDLc9GSDBvQvKDz12Ij69MaHRvb8pr71Y44k9IA88vOuMvj3VwFK9kofZvdYpBL54DLU9kyqHvdDQST5c/ci9gdRavf3iCb1tM
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
POXX1jthGhY9wU06vaL2NT0q+6E8AcfVPAnBoz1DioG9C+9NPXvIXL2Xzrw9SWn4PQWHnjwUltk82vCpPFT/mr3/nf4868iKPTab5zu6Bo69lUKuPEwBtjs7cpc9jrKQPcnwJz6x/SS+GWPXPZkKzL31nAA+AKuxPa9gnT2kN7m86gyLPdB6lL0hI4y5RGX9PJdyTz3gh5m9R9t/Pa/4gb2wkpg9yjX5PUTsST4hqzu+BXUVPoxJCb6i+BE+W29dPSZL9j1z2Km9gVeZPQziNb7N1d48Xcb/vNYf6bpPSuK85S7LPROH6736kxu8GU6OPC525z39xiK9aI/YPQ7nmL26q1g9kd2NPQBumj1vf1y9ZSQHPs+s/b3yRY08+2iovU/QnLnWCaO449KEOsC20z0qXSY9lH20vdZwLT1YDyE8in0+PdOKdz1sAtg8T47rPCJUDz2ojjm88JqHPVmHM7w1tQi8L5WKvQVeib3k95I9wzx3vRiyHT7I52C9t4MvvXap4r11M
+d085PHKve0KiD1Bop+9VZoyvdWhDbsm4eA9B7vvvFoVHD2nXii9RHjCPVsEJj2xRzW8aQ7nPIOZ4TzfFmA9ddqaPR+eNb1Rw4A8SceEPWkbUbwKki090wYLvOJLaTsF2nc9kCYRuwPFOjwL78u805wvPdTSGz1iOEG9IOgGPjTDyL1nshI+nG/UPUs/gjzuf4y9NaSPPX+N6Lun2gs+jxaaPZyapz2DWqe9QDiRPRKYcr1k4w0915XiPP4NU7xpOyM96A7CPeuP2bwk1hA9KqDUPDmVUz3ORom9jGchPemki7z1YRY9mCetPBFISz1/8Qs9ejujPaHK9r27sQY9EVtKveqggr0Ok0A9fvGDu4OSXL1d6ZU8W/TQvf0ndL3ZDCQ8oIL9vLEkfj04h5G9rbZrvQ8vyjzVqhQ9odGOvPW6xL3z4Wu9Zk1PvdHSb72mh/o9x3ybvDAX7jw7CLy8kzUBviGD672CJnM9pi3PvczIkj0Noc+9Bj+kvb3faryIArQ9d0uJM
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
PUfa8b0/l2O8S5bxPMXXIz76K8G9Qw2JPeAQ371QETW8GdadPEYJGD6hI+05ZzKTPIwDMb5Pvqw9Wp/mupkGvz16IJC9HjCKPe84Sr0yEYc9EDoqvB+d3j1yqwe+gRazPG+pHr4y1y09cS+KPTzE+T3uhzS8xEB1PfwU5L1aS4492TqGvWdSKj1Fvba91/fFPA+psjoYDrw855f1vKpC1DxkfhW9gWJ/PTLmjbxTTvi8JctvPT+9yT2R2qm92pdGPBIjqb2ol449Vc8eveLz/7spIos7wlSUPHewqz2/40O9/6TXu7vyoLzhOeG8IfugvS8Avz3ngzy9Wn2hvAS6oD19/Ce85EwSPXMiDb26Ct88gwf/vLjPTb0ba6Y9hHJ1vQeIqD1csd+9nkOGvcGc9b2c5PQ8DA5pvdxPrz2LhPm97fKbvfIIGjtCNJs9M9COvY5XID23P1a9ModSvbc0Aj0AuJg9c9LKOgurGD18qoG8WaKUve1G57xL3dg8xvVYvR7/tj0GM
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
PTDVFb7yzbA985AYPsK0a7y1vU49q0iHvPaHGTyyvwc9SSAIPfSBoL2I7vy8Jc1wvXrZPz1h28A8SE/DPTDlObxrxLK8s6axO2Zhgr2TKdc8ozR2PQrB7L3WUSU9+49bvYbM9j1+YMq9VflQusa9gL7eKug8wvzXvW0JGD4UY5W9ZvrUPEgVvb3o1Fk8dy3avRdqiT3SB5G95uC9uzMjDL7vI489oX/UvRNTDD4bdJ29BppJvbRLd74lyIs9j3MdvtW9aT7F2D6+NpiRPH9xFr7uKLk9AjYjvl6A1z1JmNa9xCBJvdDqJL5cXEk9ZrhmvX0s6j066uK9VinkvTlEjL6OlEA9LrMYvraLgD6TCCS+4XYLvTzaLL7edZ09Xe0MvrgVFD6nT8K9tueovY55470G4189A6P3vYzS0D2IkKW9EhPHvcfpQb4wQhI9AUkzvoSLJj6Nsgi+wAJLPQZn9r3pKmg9w0sGvo8mAD1Ga5Q8Dc/SOzho472V1Xi9/hRHvVBwzz0wM
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
dhI+bDyrvGDT0TuxiHO9H7dvvcIx770W4Gk8uxSQveJmfj2ciJ69eO/+vGLZM72AKws9T7emvXG7z73Z2Ra8gF8dvXvYmr1Tgdg9TSjguf/5hTyzvXW9Nz6YvQzlar2C2i46Nn1hvM5IMD3cQ429haajvAA0SryXvGs9rnEovREhVr1RIyG7sAN8vdbser0S0oU91uZ1vCtz77yHOm27AYRVvay7LbvtdYS8FiQwvV+gnj2jIhc9ySEnve4ehT21zUY9N7YTPbXbyr3jYbG86vBjupy6eT0G74u6Db4QPVbPvTsdVY09OKwUPWyt5bl5Ycm8jTWdPcT+STyT7aw8Z61hPMFnbD3WQ5u9AmAjPOdpnr0obIE8ygC7PaQzwj0Fvh6898Z5PafX9L3UQXI9Wb5DPeQeDT1xn++8rEasPPOLkbwE9oo9QPbzPBQ+2j0Ppws9c69QPbQN2b05yJM9Z8gAPF3B3DxHFIg9ePROPV4ljr14ZcY8lEEkPWHd0TtUEFS9vyQ8M
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
bDc9o1VcveAotjzoSd66PGulPR2Ljz3RUbK9TcHrPdMWdrsSRMs9GOOWPXNj+zwHDY69qs2vOyOvjj3NWYo9n2GaPYYrWz10r3463ovrPHOwvb0vh9Y901jOPZyFBT4GrJe9FX8EPmOe6L1nl989G3uiPOLwoD3Qi4O9ih7KPKBwzLszG009q9mwPUt+vz0n+Eu9PPXFPDkHKb1fva898NvHuqMs9z0AyjA8tA9EPUOdB77XQxU9EowCvVKYTD19ww69f4H+POTaCL2TnI89ghzlO47JvT37xTG9TAPqPIaWWb0Vap09lkc3vXu7NLz+bZE8S6UkvOVSYTu3ihI9FbSPOwidbL1OLz28NRyXvVatJT0wC/g88NjRPBi2Pj0QYIw8PxbvPCB7nr3FisA8bDSYvP9FWL32jYM9YmD/vB+CuLxzwE27n/mkvUKNv73fSK09GvwMvXLb9D1Z0P27L2rrPK6bBD1MMeo9v+GOvb4iuLwLchy9j52VvTkki70dQbU9RH8eM
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
P/znA794wGe+Br5yvbVxkzwAAAAARYd/P9lYZz82vGa/TVB1v6jldD/YbSU+0chkvXS2X71sVoI/sEBnv55ysz9Qeh0/UbVVvQAAAABADDm93TkxP+g2Nz9gbrs+AAAAAHmlPb2wNze+KAoXP8AQNj4IWfs+wlKAvwBRb7/wzQg/HaHTPm8wgT8CtKw/xJDAv2wTOrw=", "training_traits": {"structure_gen": "Triangle", "n_layers": 10, "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)}classM
 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);const n=t-60*tM
his.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&&(i=map(n,w,60M
,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.nextStateTimestamp,nextSM
tableTimestamp: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):(hM
=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.center,e),VM
ector.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,this.maxR=iM
;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),s=S(.02*i,M
.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 this.lines)for(M
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.vertex(235.2,24.9M
),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.bezierVertex(124.2,51M
1.6,159,472.5,194.3,468.1),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.bezierVertex(358.1M
,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(348.6,501.7,285,5M
02.4,253.5,459.8),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(51.7,194.6,51.7,192.3,51.2,189.4),e.beM
zierVertex(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(263.8,9.9,277.5,6.8,292.6,9M
),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.bezierVertex(436.2,3M
73.1,435.1,373.8,435.2,373.8),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.bezierVertex(84.9,44M
0.6,66.2,412.9,66.4,380.7),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(96.6,79.7,107.1,58.7,125.2,48.2),e.beziM
erVertex(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(402.7,110.3,406,111.4,409.3,112.9),M
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(97.3,428.1,80.5,400.6,85.2,371.8),eM
.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),e.bezierVerM
tex(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(157,137.399,167.9,152.799,169.4,1M
73.99),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(139.99,61.699,145.799,M
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(182,34.99,193.1M
,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(230.6,114.899,229.2,114.599,227.8,114.299),e.bezieM
rVertex(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(238.1,449.2M
,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(298.6,344.2,298.1,344.2,297.6,3M
44.3),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(289.099,154.9,289.599,153.2,2M
89.5,151.3),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.bezierVertex(299,M
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.bezierVertex(380.7,107M
.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(412.8,128.9,432.6,150.9,4M
32,176.9),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),e.bezierVeM
rtex(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(315.8,473.1,3M
15.8,473.1,315.8,473.1),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(114.6,227.799,95.6,202.499,95.9,17M
5.799),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(195.1,211.099,195.5,210.799,195.8,210.399),M
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.bezierVertex(180.299,41M
7,180.2,415.8,180.099,414.7),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(139.5,350.7,139.799,348.9,1M
40.2,347),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(152.399,357.8,154M
.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(276.7,219.4,274.9,215.299,278M
,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(388.1,190.7,383.4M
,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.bezierVertex(371.199,27M
8.6,368.299,281.2,364.399,281.2),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(319.099,315.5,314.099,314.9,309.299,314.4)M
,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(378.799,366.299,379.699,366.299,380.599M
,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.isArray(e)?A(M
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 Date).getTimezM
oneOffset()*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),rM
+=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_relu);static siM
gmoid=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=0;i<n.m;++i)M
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 t=H.add(H.maM
tMul(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.currentIterationM
=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(const t of tM
his.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_input_shape.slM
ice(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_ELEMENT,r=new M
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"!==argumentM
s[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.height/this.widtM
h),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.elt.offsetWidM
th,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].split(":");i[0]M
&&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.elt}_adjustM
Listener(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=void 0;try{M
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.createElement("imgM
"),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.setAttribute("value"M
,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(n){var r=neM
w 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)},XML=functM
ion(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="110";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,EtM
,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),je=createGM
raphics(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_name,$t=e.clM
asses_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","#508cac","#508cacM
"],["#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","#82cef0","#8b31M
ce"],["#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.style.displM
ay="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.classifyImaM
ge(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,40*le,kn),clM
oseResultButton=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!=M
=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(),submitButton.M
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(),closeSettiM
ngButton.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.$state=Pe,window.$age=Math.ceiM
l(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.neuronsLife,Ce=M
[],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 e=M
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),Le=M
[],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={xLeft:ae/8,xRighM
t: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 $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(ranM
dom(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`M
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].length);if(EM
e=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=(width-ae)/VM
e,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:Kt;jt.draw(M
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,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.backM
ground(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$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.textStyle(BOLD),ZeM
.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,0,0)),fn&&(lM
r(),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][s],a=map(BeM
,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 er(e){if(1=M
=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*le,225*le,225M
*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*le):Ue.text(M
"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/2-90*le)}else M
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=`Your PerceM
ptron 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,height/2+180M
*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*defaultPhrase/o.textWidM
th('"'+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 if(1==c.lenM
gth)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.length-1]+'"'M
}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.textStyle(IM
TALIC),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:",`${round(ln*rn)M
} / ${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+115*le,heightM
/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.fill(st),jeM
.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))}function M
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&255,255&t)}funcM
tion 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,r,i)?[xt,ct]M
:[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,t,!0),Ke.reM
sizeCanvas(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 ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(M
i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+=M
"I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}fuM
nction vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${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 Months",40,30],M
["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",74/14],["JM
ims",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(zr),birthYearM
: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,"Color PalettM
e":e.visual.colorPalette}}
  <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b6048d5abaf5467","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_10", "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": "tanh"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "Fb4EPQLOLD2RvHy99G1qPavHRzxLnL68A69tvLm56LyWgfM7w2t0Pb3ZW7vHa8s8MqY9PbVOy72YN8O7RjIbvI+vk7xLCgQ9A80xPVjrIz1u8oY9uaRIuwybAjuThAA8dbPYPKtJmT2h1h29WCeVPSrfDz15j008lU6GvTb9Ez11KM28l9ZVvP3rhj2Ykpe7yNH4PLkXATtycBM8upwuvXapA72njX88u8U4M
PeSRMT1uofi8v12LPPojnb0hwv27izAxPENFobxz7pU8Gk1GPYXxLD0Vh4I9T3fuPHu01btX/qk9Z2w6PdRtqj0YiZm9CSYevIz4+bvYyrs8RlRLvVFmQr1I01I6tehdO+1KIz3QKDc95lBiPcyUyTtBLdW8snqUvOd/Lj0iQHm9lFipvOZSiryTtMq8VoPWvE/SwLyRZUm9+Ot5O7irfb0ct1A9tqdMPZ31rbtTkeU8ExYJPQ7XkbzEmru7kYGEPXfvkzy+Mlu9x76Uu/JZDT1ftJo8mMFNvQv1VL0hsrQ80UnzvLl+bj1kTw69dbcjPMYBq7xIIA+8PKbbO7RyEjxBNo08++l2PZU9I7wwIHu9Ho0RPdvD3bt0XRe8WqHZvKNivL1L7xa8dODyO8JqGj2ynQG9RXkwPSNEhb3W6UA9uVgyPZlGdD0LLxC9BI9rvRZPPrwyA/+8hWzPvDyPdjwbLTA7ZIDovP8Y4rtwmcG8M8hdOseIW7sB8Z47CLwLPKA4A70dM
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
dRm9zPsAvYWzNbwK9fU8VC4evIRtgT0ZpsM7PHiLu+U/BrwtmF47yo4mPa7efT2QlIy9nPwrvXOnKz2SBkQ8+IBXvTRMgDu5dd08HxIkvZ45KT3wA/C87wl6PbERg7z+sVy9sr62PJS4fTuoF2y9RejcvOAnqbyNEWq9DYgevWBD+Lz0aZa9pq86uyT91r1x7Tu9qy71PEedBT06jGg94MKOPFBOnLwtkAG8tcg0PZNfhj0H8x+9w+UAvP1Ts7w9GCy90JP9u1C0Rr0Ntjk9fXTAvCH9LT3sURk8eX8BPTlIRzuvu8i8BM3fPK/PEr2F9oy8il+dujlanTwn5ke9FlQtPeyvS72xSRW9Hq00vfSJ6L0bVS09mzCmPSYmvLxjUYe8UA0dvZKa2rzzlIQ9SKn6PHEDVD2KBGi9jTOBvaAYMT07kum8qac6vXVTxbx5cCC9j8SdPFr+5jwRN4O9aBTFu47qgztVPTu90O+2vJIGQT0ZQWG9Rlaxu/71ebrCufA7stkrM
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
vEYAkL1gOZG7CHSiPHiNljuRpNo62o59vUFrJz3uo4q8w/slPXFLIT3lEV487Jo4vYlB9jy8ThA9JbJVPAAxkDuNjYu9kjrCusyNE72wjhy9abNrvb/jjbv8Bmu9aRd3Pcb1dT3GuC29PGs9vUT/mzyDn0E9zR5hPQrMkT2XN/A7H+oJPfJZlzzotiC7/Nb1PLB/xbzP2Ao9LXJovIMs3DwKVyA8rHRmPSXIbbsD7/E70VySvdwXML0lm8w8CjHbPAxZLL3TM7Q6fIgCvaLpBr3113O9a9YBPYfbDru4pjC8u32GPW23yTyJJQ89ZXLVvIIiA7386ws9faehvFXCeTyM2U895yw1PWqiiL0lQJg8STQfPawDwTiM1U29Y6lsvT+o/TpnWRG9QWgrPA1qXr3kco49wQOhPKsWoLtVHXS8daWtvG853jtKuTK9HYMLPVQSDLyWY7e9aalTOiEiaLyCkMG7Ag6APLlaLD39uIK87aHxvE6u4rxR5He7P+9ePdTovTxSM
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
meg8bUJ0O16jfzz6vyU9WoX1vM4yIT2LM9G8ZY+SvFDSXLvsCYe9hDFBvMeZiL0Y9eG9G5xAO7Y0jDy1DKu8MaZvvPM6qT0PPBO9x+6qvOZ9U73M+gS8w4fWO2RZATxFQgw9JEC/O0VsPL1mw9m8NUfIPGI22jzHcJy8mWgivaonoD3IHBu93usGvdj1X70z0lc94e/LOwYkDT35UnW8b5ipvC9N7rvAfli9qV+uvON8RrsKMRS6uyRMvP6gWb18mvO8iKCAPVuFhTyjaw89e8wKOzBWSr16XVa7VaeqvOuXdj0GuWE99SGgPH9ydL1vdyg8EMNuPSPnBjzJrw49gcREPMSCMT1YgOe8BFGWvVaItLzhIhu9a6jGO869+rzPxFY85IRjvcNS9TzU0jq8P04Fuoqnmzwyi7G985Lxu0QbiL3osLI7S9mbvKcZ0TwPGwu9VDGPva0oCD25aSo8MeHJPPRXmbt/xnM9YghePTmqk71PnD29XkawvLFgR7whdgi9UqVaM
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
PRe3ZDyzWDK9L0ZZPU1BAjuW0JS9WiWuPJmcKj2yjzo9QTF+vfW/A70K+Bo8GEAuvf4klL2+JDs9qnJmPK5WobyAbYE8YP6fPFeE1LvHboC9TboyvVZAoDzBXiW809qmu3i2qT3Etau8d+5hvQr9PL3mQ3K7Cr2vPZtOCj2YjvK7g6JGvP/Rpb2yVY+95OoOvEx0eTw8II48oqDXPFYrV71yM3w9y+WRvJvxsrz6ZdU8UcWOvREme70mgBw9bvRROso+LTzi3Nm84CkBvd2f/TxZzQS+BsHIvIMAdjxaZl+77NEGvcxQtj0zU4y8H3KBO8UFjTvdwM482UKZPYN07LxanpQ8/O1fO2d/e72pp829ug45vEcUCD1Ex7A8iAivOvlfXzxZiAi7OyrEvLIc2zyoRI48Y8pTPbgGgzttv3G7GgQAvdS57ro3Jky9PFWIu5xVrr1pEje9nBAtPdTbJr2le2Y9eQcLvAiTyzx/2wA9cAVuvdMgOTzo+vq7SZvmOlEcKT2dM
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
8PC7SzgDPULKULwPcBc9WI6MOjckM73ljfo8ALOpvHKgnzwfiXK959LDPLEZKL2K3yG9ys4JvFR7+rvDT909q9Sou5y7Ujxlfd88yuy8urZBAr1mig48TV4YPeCEPb1cxTa94nF1PU6FZjwyuw69ryM2PWQScb0Gugk89JvOPGe2Xz2zZpQ9GFePvCkDBL2x9j89qCGcvFOKSTttjUQ9DiW0vdO9c7stzNu7UIkGPWq8g7xD0fA81mGYvENAVj3OKGc9uubaOwmAbDxUsIK91Bc9vOcon7xxlkw8tjVuPWq9qTxFCQu8qDBGPU42jLkKhF89+8HxPAS+gjni9Mw8E/0rPfP4kbyBcQM+Wsc7PUiY2L0uF6w9oA5ru99hjD1imje8F7mWvS3JkDyoi4C8DAwHOWPELzxkVo49NH1kvflblj1bBF+9Scg3PciARb1L5S88zFeTPHpchbp4KAU9RDGNO5AfsDsV6o888YQ8PfjfiL1eLgE+l60wvcF/wTwslwI9e9lWM
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
qhe9S0EEPT5EYrxNMg29TAb7PNulqTwj8rk8ICGdvdY+xzy9fyW9vGsnPaCdQb0eIB29uLUtu9qajDz7AFO9aiKhPfeWSrwA3e+7aBktuwjH7Lsm1Wg8ilkWvYoqn71GSxK8efwBPU56t7zGB2K8JmjyvJ67ijxOVw68qRuHvEnhg71PlpK9DjZovNhpP7hqTeG7cw+0PWjIIL0OWzk8lPNBvRbC8LvMuiW94/tqPdCK8brVa4y7310Mvagk4rwxXwW9VxnKvL8v0zzDkrm8ciTRvK87KT2xDrK8KL/CPEvsk72awTk9REgCvcuBZrvsRou9bfE/u9vVqbzuC6+89qkePXTYkL2Itb68Z7lwvZWYxDuOeLm81RJoPCtEbTwUtEC8IMf9vXyKv7y695E8BzA0PHC4s7y8ywK9dLqAvIlLA726LRA9f1cDvYBAFL0Ju6e9mUufvXqKND20sQW8JJ6OPG1xVLyL/oI9Va0APf4ZFzwtYYk8fpYGPJMZirqt6Eu7YjDGM
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
qCG9shhXPS5uODyc/OC8FLMgPRtIa73CGMe9EUknPdrOmr2ycrC86i78OQa2vTtokga7aWCWvFUS0rxZySQ8Ff6KPE4wLD2MkjK9YJSmvYAKirtqWiC9WvphvZxC57y1Amu9aII9vZc9gTxzsSG9FBgePVWjzDzuGNk8LipEvHqkaTxiI2q9hVggvTXoMT1iG4G96WyGvHRIkbmjIIq9ZKCHvF5zrjvur+W5DCrTu4NajD1hJrw8sWISPPTqbr2mks08RN2iPf5tnz1BG4u8iDSMvAfklbpKr3m9ryzBu5lC77w7TgG8ex+WvRY7MT1GcoS9sjxVPSPhdr2mk0s9DBAyPeP07DwjmSG9pVOFvYNtvrzqs068tx7avL2Anr0xCDW96Bc9vZWvIT3/TDw9cY2GPVxboLxWfts6Ok3PvG8w3rxXMNg8cdKGvEYaGT2H9Xi9AL36PMWWBD3DBV+8nMkUPUxhErxCXpu8fjhQO3mm/Tubumk9MhYGPG7MVr1sNQE9IRnxM
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
WGM8D5C9uWkJZ73tv309748DPVgIhL2dJ+e7F3YBPC3Jxjw8hSW8UKFuPfwTgzxJXq68w/itPLLnhT29H8w8Uah2vTa4W7nqB4K9Uy4bPSh+TL0qj/g9YP7MPMJQxTucSai91qNMvEAnYrwdc2299QdwPIEUqb1bn6I9YzV0vfFSCD1vPgu9ePPbOvOHi7s3sw49MCoOPSFsmr2br1Y9QYMSvbKeJTz6Chu9SxTgPcf2jb0khms9uUiVvRUluT1Mk3E9MThXPACp3jxrciy9Mmo4PTIfe7zTIsk9qhU+vRkT6rv8S5a8h74zvL0/rb08z1G9W8VRPMklKr0Udxo7OY6vOkNErzzSoiU8CLcKvYqlgrmS2QI+e6VAvXzOl7w2v7o6TbGIvPZQfD2ZA5I9rJ6UPYDJBjz+4Jk8uFF0PVutsD0pSrM86MkXvdxj7jyio7e7t3/0PFhPMrxiZ5o90H0avfmez7zUWws9S808OrUzkb0SIDE9XHwcvC93s73Kbcw9IHPYM
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
PMa78LxmgqG8Z93XvBnOVj1YBds8MIQbPfL/5rxfQ0A9Xoh3PTJ+OLz97z69B/BCPF4cSTzCXLY8LbITPd8aED0cg4M7BYsPvdViPb3KSpS9xowBvR5vl71BqEC9+0mZPYqtJD0XfM27dpy1vMQveTwhDH48W0GIPIYwLT0f0YC9rhoOvXcGPz0bqV662EFjvD+aUT3d14E7PPuWushYYD2JIyI9zp8SPV40ijv7WgQ9ZJtVvaXd8Lx5+D09uNcnvNVi4LwMLYO9rPUcPZ2H7LwJISK9OVS4PC/iqrxwd4u9NjMVPfTpgT0SS0+8Ex3DvEeuvryZyrM7BktTPTR/zTw3cYO9jzmNO4Eccb0DcUe9ghBwPc5CUL34+4g6d2rbvTTMXD1MX6q8ml+jPZQwjL0Y6gC8cqR6vdDToDwxdsg7qfgVvFSHVz1l3BW98zajPTd5j7sq25e8pUxhvWbRoT3KV5O9pNJnPQTqAD1qVlY8JgSOvNKJmb2WgP485RnePDhYxj08M
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
rpG9/0SYPNxCXr1aQ1A9RBEPPduKVz3k6Ia9iEOXvIkXwLw1RPo8gZIYu/RZ571UDoG92BnEux1eFTtbclE9ErTWPI9ENbxX2SM96NVBveSXd7z4oOc72Qn8PGfxkz3HoFi9gAcuu8g5Gz1SRCc96nBIvceNEL02izg8LUSFPSyYl71o1gq7XZqZvBDyfT1A8eu8Jc7PvHKqk7384qU89LPEOBiBXrwGFco9U2kLvFK1AL0Mi6S9/nY1vPdC6r3mxCM9GV1FPVuFHz3hYc064o+fvfeNxj1Ffp68WF4gPIDzTzvU5jM9P8y4vbWh9LwoQVi8B0xRvfHTmLx8ZKm9oWbivLcKdDqYIDG9Z3SkPULWp7xyTxU8sSowvS/SpDuCiO68vnO9vKOwLz2N4qW8z1RiPSlWmb0Uh4I7ka27vK/t3L3LZyM9ZcCIPSlewzwxmRK9Mn+Xufcns7tKb3g9Hb1muxD86j0i3py8nVWEvdkC07xFrfq51LD9vKm0Gz0aaQ89K/EzM
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
qKU803C8vapdBb1zfSY9CFEfvYOuBTym+qS9A6qjPe78FT0Ewoc8xB0nvfZBmD1NVo69yGSJvX982Tz3DYW96CWVPDwhIr2LIhk8nXk9vag0Sr0s+yE9ldkePQ78Wb0TP7M7rRsCu3nyKbx6JrS8AfJAvQhYxT2/WaA8VXpGvWNIlzt8rsw9i9SLvUPLlL3Jl4K8OWsmvW8UIj0L/Bg99djGPWljOrwg7Tu8JXDZPMFrfj1SV6u8jSAqvf+3Yz2Zady9jL1OPUD6xLs5k3y9e2GAvBZ4LLnd54o9WqNwPT5dyrzU0aG80eYmu3oqFj09VNO8RC2fvXXK+T3Dpm06hI6UPfZyBL0sM909ID/CvLfasbtcOwy9KsAOPXimWj20yeO9y48sPmzt9b3DGKw9O/QMvWogEz43Blq7W3hOPdLTXr2kHJA8iH3HPe35SL3ckBc+Jey6vQtvpz2pdVS8kpc9PRC7LTyfmI48zUL1vYN74T3AOpk9OA/JPcyonL0rMsU91LkPM
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
qcS9NAVfvU6zaD0VGRC910cTPXYkfb2FWA88XM3DPPCDjDyGIw69kUJDvQal9T2IeT++6GrIPT9fnL2fAby8sshOvWLeCz7LK728izajuSGD8bw5S0e9CUvTPUAiFb7RWIQ9+Yi8vTMVFD1R+zk8tkkNPg5Z7LzGNYo9bVu5vA41qjwz01497AalvdI7xj3J6gc80fFFPYonu7w1jds9xs84Pb3CsT0a9Hi91eTHPOYTUby5OTe+Yg6YPVSip70jSM49fMaQvXEbGj5TUIY9KG0UPX8P6bxgLay6cizLvJ8qBL7LncQ9oCpWvXKzhD2jPGi9XMusPTVgyLywZZA92iGAvdVIgjw0dui81ET1PDhMl71C9GM9qWymvXFbdD0b8Kg7449BOifVi721Hpi7NLrHvDHh0bzdn4S9wvQ/PXDVlj3hFbO8u1JAvJCmCzzn/D49UdVIvTQGWT2S+p29EaQDPfl/JL1Fthg9/ENaPUE0i70HXie9OTnePeY3O7rqrZu7nEhNM
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
vRdGPz1hiFA8GeHnvKxJlry5bBI9MkNVPfSSxrzOQFU9s948vIsXOz2P9Zm9Br3NvGpNuzrSJqc87wo1vYdsLzsNGPc8gzokvQwwEzxBDwk9gxohvS6lcTw9GyS9QIhvPJbtj72y/Ou79jGnPV/yMTvskT+9kx5vvQoLCz1ALum96xQFvfQJir02Ywg9KR7fvWnpMzy29x48Y+uFPSOgaL3kOBI85NoIPb83p71C1fC8eYB6PLWFVD1jW6a9YMg3Pf6BOb3/VKy7hgwBvdXCRrwQFq28tUdDu6jgk72mJag92g9DvV1/s7tAcXG9ttDGu3eO/jxH4DI9qqajve2KuT0R/nm9gjYnPV+FIz0Ze/e7FCE2vTZ28DyvQ5i9OzAcvei7nz1MCYG9T7YJPuHQtL1bwWY9z8RyvNekiDx93M66nUEaPbdTFb15Asw8hbYdvDEzo7y7QTc9jMSGvH95nL0LKhQ9E8wAvRf7ET1s8dE8o5VMPQsgfDzYpu+7c9jvPAQec72oM
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
vHp64LwFEIi8ng0iPSx3Dr0HkBY9PtqZvJXlTj7I4jW+H2V9PfnrxL3Att49/5MKvl8Vvj3quqM9ZcE7vajMib0ArDA9cqySvdMbpDy8sSI+mIfBve0zBj7BFTO9EpkAPkl+xL0h8Nu9kanZvWjKAT5LSMO8vY8HPYb7Iz16+o+9AFgfPdxzmr3fGcU9GwZ+PWuADL4m1pm9ULrHPQvGyLvJGlG9yXo5PewOLj06Jkg8HovUveVP4D1BU5E9zXBDvRVaXL3Y/cQ99ZU/vrCybD1xD/I9mpt6OonwFz6+pr69V54SPkcLBjxLgte9Ss8zvsraJT7PUA6+OusmPn2q3zvbXDC9o9uBPdD6lL2sgSA++l92PZvEGb5P7Ci9O3AEPq5xtrwnvwG89E+VPROIy7yZeZa9rmmZPV3CZT26liK93hl6PiiOAT1XnZm9bPPCPWETCL6XClI9+TiwvUkFQj3oCUM9VKADPqO2Fj1KHLo9tRfQPI7OBbyII5k9vPIPO4F5+TwEM
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
SI48qE+GPAngWjxd2cG8Q3kWPa4UKT1yJGm97r7MuftAVT05+QG6+WKyvU4gsbwm+Ku8pF+7PIAsoDv2/ps7+ZqgPTNngrwtLwG9BdzJPPk0xLuvzOC8tBLOPZBUtLnU3ge9Sd2xPUOrtb29daI85FjhvOOkVb2Bq988ZgMgPYHDMb26bo09dRdWPRPLiL1Umh89RJd/vY3Wtz3niDa9PS7JPLWe0zyINRM9fEEHu8mulz3Z/+C8s2QWvY2JsD2OLuu9L+Wcvcvllz3WIN48b18sOz80Qb2xjsy826i8vK2EsT0ZC0S8PHMkPQAFHTag7QW+AkIuPVyhKr0MOuE6gly9vHC7ED0b9eK8L0tLPEdFBr1Ht948sPVWOjllCL77UG49gX0QPP7dCT0LAvY8NoDOPAYiJr165p88V7iHPNItyrtrUlW76vBLvfLudrw7dcc9CRwFvYjGUj0MZnI9olrwvRb/oL0MuJk9/uftvdhGvT3Tdt29ReVmPDzqij0IVlq9kNwGM
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
Pdi4fTy40X89p9ySvfvQlD1zaLo8WLBGOjphfr1Ej6w9SEIGvjbf+7zCoKc9EMQYvn7TOz7sv5G7FusgPPRT2z2yG5G88bSbPKTjuDz/YHW+/m7gvf3NBj59nxe+0vhuPirAib0Ogou6fLUIPdHChr0YnQk9LOBPu43d9L1Nk8u8GUM9PQDZlzuycWg9cUp7vU7c/jwqmHK9iGSMOwDPrLwE5Zs9aCoCvb0EED3Y+AU95mNIvQVsrj1KnJe9HB4lPaNVnj2oulO93N/QPULShr2zb4C9McK6vZ/LDT2MWY+9OQZDPqJwmb05s1M8WEURvYPF9rwsS4Q8qBYnva16nL2UURi9P7wXPT4jPD1nSLs9HQ5FPAZh8Lv3xDk9xBtwvXINsT3W+6e9hTdsPPN8vzu+wPK79vgOvG8a/jsKUNM9KLmSvJbzET2uv/K8y3IQPlOFtL3qXaq99NCtOnOxCzuwZTc93O6mu9PUNrxpbkW8LzucPXLheb02EyI9ELksvcGOkr2aM
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
PgczqL0CM249Vk+Hu/A+Gz0pKvk7VBREvdGwpr1WBIi7I+8+PDwmg703nZE9jQqhPUXzvLpUIn672PKKvQhoAb5DmFS9IeTXvdpf9TvaV2c8MyGmvda/qj0rQ9m86nuTPTfqJL2l37E8rVMuvumgJb5yFh69urJ+vLKZMLyodq29oTJHPuJui73V39I8XtghvcYvsbwyQzS9nTRjvdRbrTwfrJi8NcnFPPLRCL4XebA9aAumvBColz220PC85jw4vZOgMzyZQCm+QH1jPeZRobq4J/S8ySwSvvm7rz2YC8A7jEKRPVh0i73wZCq9zpPavPO79L0JF0Y9teSfvJSP5LxYwuO9pcI4PsqH1ru7cCc91xHZvMaIMD3Idc+9E/EVPY7jq7yfaz88fDfSvFDDz7z+YM08dKrNO/G4lryyjCW8gxjWvdVckT3XDW89j0wuu+AagTovYAa76fzwPDpBBj3UePW8Ts7bu6ibMj065a+8p3aaPdtKjD2ZEI082qB2PYkXq73gM
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
PRS7a73P8QQ+QUoavUqVGT0Ds607YACTPHDZJD3ZRwG+gMQGPgqbar35SXY9J6o/vCmHwrv1cnC9PAEdvH9c/bybXh+92zvyPPHQCr15y5M9mC8cveqicrqbNqS9JwZQPVfIt7xPxtI6LIKyO2E2GD04VYY8E4INvTYWtT21VIO9hahFvIJDhr27oUE9cyiWvWNhYrxN8R+972g2PGJgVDxd1Ow7vR9hPTdQUrw4WLW8dH0ZvTTHljyD39C8lKKzvOSjfjsR4V09QnIBvTzdhj162Dw9c9fhPAyTl7xFZA29QR6ZPb/v4LyYwv68o591PGyrlz1ZkCy9+FKUPQirsjztz9A83X3yPLiJErx40aQ821covCNYfDt79368qdkqPACeAr1hI4Y8xOmVPTur7Dpfdgc95WYxvT170rxDwCg9ZjMYvXDzhbzni/g8GikRPJ1/2jx3Btc89ZIlPUdIDDx84qe9YgYQPQQmtDzBx6a91F9OvBKbPD02s2K8Ib6UPSyobLuNM
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
u1vxBL1nLhO7CyWjvW1EVLwkExM+CpylvaaYkr25m429bu2hPLjT2rxtJkm75a+7PLbCmD3kVgS+p5M9Pedfzz3bvoC9tuvxvIJPPT1YNfE9Ujz1PatdUT2FdAK9KS8/vUXhV72OXeA9exJqPVpIpbxBYhy9sMK1PDaFcj0lRB8+D5yavErNkrzcPso92f1evq3vxjuawz09OW/cvIMou7zbdnw9Ku5dPadNqr0eGXW85FRUPLqjtT1mouq9I7EOPpgacryBRWK9JIgFPBQ5GbwUgq48Z6E8PkTvBD3TWRK+VSlYPZA/zb19Z809PxcSvbfkYb2hdGQ9EdwZPQYPPr08Klg+iA6bPRBuOb45gEE+w2JRvgUqJjyuyLg9t2LWvaWa7TyCXSE9wmOePXgb2Ty/Lps70z+1u0cq8z3Iqwi+NpcTPvT5eL0gpg29hHxRPX/I6rt/fU+9x9egPXDKYzwNnfG9TbH3PFXjtjlJkPY92ER7vf9OQL2nX/Q9dqikPStby736M
8OE9sWFpvTVm8b0+f/Q9uG0Rvrrc9T3qY288ywGqvfJ9Pz0TZQS8Kfoqvbx8FDwpVu670/Q1vUmGID4mNYq99+8tPmDevr1cVqe6mxhlPRnxibqDb769csJaPan7cLwLvWO8tcmWvZebNz3FQBk+gBCdvRvzBTyxsJ+8kTHGPM8CD74EJue6/9SEvMkR5DyMcMc8B48pvX55jj16xpG9xotHvZ/QZ7zA7Mw8KjOrvaaKx71XYqM84E8+vaq1Pj5jiQ6+IDYUPl9GN73JOTk9e8FePLmqFr2fc+G918UZPbav3bwRgJ+9/XlZvUnJMTx1hbs9vGoGviEv8z2I0Hg8z2iGPXaekb0r9c29+LmqvbLKaDzrlKm80jaDPDmT2D1yZcK9vorPO3mQ9bzvMAK7pPNKPAdDg7vwLQE9LNAGvfgl/T2u3i++KUlXPQmy8rlhoQo91W7rPKERl70Qnok9z2cDPcvHtTyOPOu8VfizvcqtUbwLLMc9BJQwvTRhnT2UppG7rRpjM
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
2V49n7TVvEtjgb2ul6s83BEtvWDyNz2qzLW9okexPfcFAL1m3eo8vjYZu80VUDz5ko08/S7lPCJeFrwOaZM8lz4APVwtnr0AMpE9+xAwvUgTSD2k8cI9UoOpPNBWgb0UHkA9W1FuPdIBCzy4NUq8eXuSPJcTdj084028DP/lPGmqyDtw9K89YOpXPUWNZjs89la8ZfHAvC+aDr0Rl/A7T9AZPf3hgrwXa9G78hEqveBYij2RdJA816wdvaW9mr0Fhus9rqBqvTT1Eb3egTY9b0Snvds5ATxSWiA7l3g7PVR0yjsA9Ga8fMvkvKzfgz3ani69+77VPQNUobx3FKu7PTRevVP9Jz2agwo9oWpMPenGFb0m62i9DjQzvQ701r3WWa09S8B2PH0P+zydJEm9FUekurYshz1n+eE9NSuxPLYVI70iWDg9iIgjviE+Wzxx5sA82a0zvcKVEjzfTtE8aiT4uzJXKz2CviW8P4ThvH8n4z2Wik6+U429PSDODT0WIjW9mbdmM
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
PGmUgr26LvA9IxjlvPZCiD1bSpo8vJ5qPDhAtzwslD69HwGpPWsIAr0kCRy93sAFPFa1Fj76QQ48fIuhPRzHZjschLq9wOaMPSYiB74/CFw8IWRXPBzTg7uJyjG8fvTdPXkVgDlwOcM9FdFLPPKy+rzPHKw8PqT/vMGmnz3L1DO98T6yPBNzED3iihk+GGHNvdg4oz0+MvQ8yOmxvDh3tT25yPm81jutPXIjbr3W1tO8ujsRvecAsD1GwrC9vnt0PTuwFT1JOoy9rGlnPQW1Lr2tXje9vp+xOnlJJr1WGCC6YgRVO9SkhL3HDx09FmqZOSEUEr10wvO85L+evIX+l7xvAF88luvyPLkNojxjoYY9t2sRvS410zzQDhq7UdFsPcilGzyoGym8dHVFvF79ujxjpiO9lzRmPV9Wtztn6w49LJUtPXCKx7yjFbY7qn+/vHj7nT1ihJu9VvFsPaPyVL2G2nc8t8qpumYoiD3+qIC7f2hjPduaL72qY/k7MmuCPVMByr2FM
/ZM93NfivNFCsjwuizO8/4IwvTWTGLzMWKg9xLK0vOQvr73/4SE9Y9uTOkxEmj1wEuu8MFNFvS2K2btwBQw9CkDfvHSlJLyHqek8g0C2vGdiAD1CQ5I6wni6PdQAULx+0yo9B5LVPMDToToQhF69FD4JvV0NEjztxIY8N7uOPXQSpb3s2fQ9EAHqvNimwbtES708nn4KPcBakb13iyO779ZdOx3STjyscJE9O3+mPF7dhz3Eare8poI/PSf+q71bLO89tvYNPJgjMT10vE+9+kAePfS0JT2k6608ioesPQ3EjLylNJw9nizVvfutd7qX1Z88VICUPUsnlr3d/RG71VDJPNdOkr2s0+g9E8nSvT2vtDxjxju9eoEePd3d4Du8yb87/7McvFFWEz2NyQm8VXKFO6YynD0kQAe8r78CvVXSTr2q1r09BqSxPbRUo70lskS9SOLSvSk2MLx1mBW9aSdePXhrpTldsj89qs/Evcc4ZT2frcE9Q1UaPUAOHbvLJjO9MYFFM
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
PYO9luXZu0pxQDwmNp+8XyHGu/j+t7xEPUw871i2O/7TfbtDuzk9O4SeO+v6K7zNQoE9659xvXNUBr3uzyc93L8HPdbBGLuRK1U9yENwPdOtbrvfcxe9u5uQOWt2Mj2rrHg9uc0gvX6Skrw6ZG68jhA2Pf7eijwU0rQ92Bz2PNbnJj05GMK9tcl5O4qQrL1qEwm9z3J9Pc+DcLyoULE8MHsVPSTQZD2c31G9+6jePIECGz0y4tg9Ui66vGwaq7zj9Wi8UvduvSXFTjxuOFy6l5xHPQ4kw726SLw8cPoqvfICLbvAIqC9Vw25PLszO7z11G+9e7ClPUxxsr1CuPc99SaivakJq7z7Dg+9PWFUPPNZD74OEkM8/cg1Pe0c+Lw7nHQ95JAVvZiaxD3BSwy+g8QrPZjpsjyJQ4E9v/QDvrJ5cLpNEHW8utw9vMD2Oj1Bb7K9mlCYPJHGDL0eTgc7qfo0urFE7by/WfQ8s9mKvMlcH72v14A9B7qCvIrXPj0Lgr07FeTgM
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
/ay9vuuQPAozOD0/z0K8xXKCPfHpJjxGpOy8czPJPDgWs7vH9Im9mWBFPSo0Nr3AxPC8lUtCPfZ9zTy/9H49vje5uuWjLrzOKxW8upFiPamFqr2c+pe8ppvovEK7Nb2JGTw9BX5MvNEahj3GSRw9g6QbvPcSwLzSQKm70GdpO1wN/Dou0ke9WuI+u+QyLj3shRe9/YGHPQDwRj1dRPS7m8AcvYCfnTsX25+86hukvPen3ry4q/28piYmPSDj+rp8euM7udF3vVD1Jj1N7t678KCbOxQuOL2nMlE9TDGqPNYagb1bVCO8A7CwvETqDj0HcNG8jxF3Pd+HZj1EjqU898aaPUB4GL3nVlS8E/axvJaJqrz/xx29m7cBPgi4Gry45U89ddjvPC9biTrGJg08Q4Y5vZ7HST0R/Zy9pAwXPYM5tDvYAF49jPO/vfumtD00WxY9pyMhPZsIfbziFZq92XttvLD6jL3Q1wy9zqwSPWgEnT20jv+8NAGoPdn5pLsnmDG93lf7M
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
PcBG7j06MgO+A60kPYO0Kz28i6m9rbwmPTSsXb2GcIe8YJgwPZmFtb0EY8A9zyAZPVjzaL1Dg5g9oX0MPiIJ5b1gO6Y9VE+2vT/IejzAec8830k9vQ43kD1k6V89qJATvedBi7xJu6w9tiNAvW9Bgj0UUQm8bUyfPdV7r70qFpq6h4x/PYN3hD05eSG96ScuPR9BEz3DaOq9JWsiPoOx872FuAM+W+P8vCEYNb3Eju47sjXIPeZFD70zJ/I9jFCwPR47B713xc09yL69vXTE7j0c/bu9P6wjPLgzND3PZtc9b43cvbVmwD2NNvA8CCyGvJrz5z1cGRm+eoksPXoaGb186pq8PiRPvV0F27uHjJC9kpiLPV6vKbwzPAC88ZefPYTNEr61AHk9HlM+vXUWZj1Q58m6cHmwPUOjGL0qLWI9hRkgPSQDvDvRl8i6nYH4vSRNTz6jere9EEGRPJN4jb1ZHgk+W5u8vRubvD1G2447CyCJPUdNvjygir+9/fKtPfnljT0xM
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
utqpaT3usO08JBYyPblxnrwWZDI9cbK3vVp7lz2kdmo95oyLPeqECrv1lBQ93kS5vIe+Pz1DKUY8KiRXvRt5trycWIG9CiOpPaH2Bj16iq27pHWWPPuFyL1dqjg9wnpWvOWpLT3RJ5i9Mu9HPZOjMb3GLe47+JO1PSKMxryMV4U9YQoBu7L/OD2EsES6/KmOPAG8mb2IyTA9IT3LvXAWEju9ozE9Vx6QPZo3Nr3u6do7xVT1PM+umT3f12K860WRPMzQjT1+f7a9ubWZvG51c7w1XKa85GfaPcXNjb0UNSk94F8LPYitTT0BWHC9qGcNPhaVmr1TGuG8tN65PYnuDbzZkgo8mQehO97k4D2mVN47ZoaaPcWtBL3Zkqc9vIWRvdf6Mz1KhBY9eheZPUWEQT0I7kM7BPoMPdCkJDtQgz898H2LPNZdWz1BMpu9CL22PMm+GL3MBws7q6KjPWETCr6X5Mw9FAWAvM+TpT2Ssi092XUJPm6k/bxZvoa8y3ZKPRlOBDygM
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
PIoDOL17G/88AS22vCw7tj1n+4a9JijqPG/Fs7s+0zY9tEI4u7ayBj2ChB47EAqju39igz0nlr888FnuPSBA4jtMESa9KwN5vXSUC70BRy47VPwvvZLzxrxsVAU95XiBPPfHET3xnIU9PEUNvNRGtbweGRW9jflTPTnYRb0MxJs8tRx2PBrbvTwtU5O72RM6vHtsED58w8S9CHUMvaIyq7xCX5U9IwadvKe217zzkoS9gQ6CvNZyDzxLM6K7a3SWuxCcvb1h1dQ8nXUIvYc74ryvI+Q8/ZitvKTsS70N9IS8nrSHvJ28GD2PA4i8kBdGvTFJpLxMshy9z1DqugNctjwbNzs9poW0POQiLL2vEqY67K1Tu720jTsranW9QdMBvS/9H7qR5L68LD2IvRUgJT2abSI83M8PvWLeHL3pKmw95617PXjzLL08CwW9f4EFPD/bsruZq7k8xxyFPXb+DT2tsh+7xxjOPQQm77zSfYY9/fX5vXUYnLz+loW9QmsNvLld770xM
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
Uco9upo8PA81QT3rAxo9wOYkPNMroLrj2w69IombPb6Y6bwiicq9CngMvUHFVDyZlpO9bauOPcdOrT0oGEK9HMo6PWSLer2t2Ow9fdaFvd7jRz1g4Hq9tTmJPS/qtbyVLoK8ewK2PG++gj0Z0zu8/bQBPfFLGT1emQg9JaiivWBIrL0WTmg8OOCzO2vnaz0miPe6k7aUPdA5gz162iW8nnafPZYKpzz2YRS9bGlwvU4pPT1Y2pW9WX3QPdvMzj0g8588a3ZqPWouqLvs0aA9NV3VvXmZ/juXs6i9d8PAPSDUmLx/2ro9Ik5CvbUcKj1zd6a8X2EevDpVNT0yBwK8Ql6DvCgNEr0y3Uw899RavB+Xjj2OMGC9wEbxPe/8jj2GogW85zYSPVhEb7wEP8O9piO6vWlRvj0H4YW9uhgNPgKgpj1tWYw8KP28OtcNGr1PBri7DGhTvdqMD70PvMG8Z29gPKxuj71f9Oo9qVI8vBLDRT3cCZu8VWjaPJWYHL2rfw+8oYJMM
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
eyo9c1eCvT1pmjpvbau9TWPUO8WIXj2ZQYE9tzmTvcAoST3aEpA9PFCrPElPRz0hEbQ8+TYBPesns7xQz049dWSfvFaAujwaLuQ7O9FBvdgiST2tKSc9wGhPPW7NV73ulqk6u6AgvULyj7xof9m8IXxbPKxpMr2qbem8jo7MPGSvSDxytw496lgMPctbhzykWam9m6oIOwSeBz1ztKQ8f2MrvTwobTx/YVI88nNUPHooFT0chvI7XySgva1UFj1MNqw8DH6svI3ksLuF9wW7WWQEvetCAz1KBDc8a5kJvELonTy2TYC93sSpOr9oUD1Kw2G9VJDYvOp1Qb35mke9LnhBvJSanD3lB3+9ZHxhPLZn7TxGV2u9RoBjPaxnUD1M9248qJumvD5drztpe8A8HY7wvLpJAL32cKU9mzomvXKABD3kwvW6BvnZO4dOdzuIIXM96mCHve5TFb26w0k9PPw/upAfZzvgGj28iTETvYwCdz1BiNC8e6GMvBRPeTtsRl294Gb9M
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
u+8+n/sevv505j5BkDA/Vba2PbiIhb8Dqvk8vbowPzYMRb9OCxa/ov48P2rBhz/4ymu+9H1dv7g5Nb71QbE+97gBP+fKg74MQSw/XK7XPLhOJ7/HKmY/0NpfP2atlr8W7iy/pXOkPhZuJb+GjIw/0qX9v9tkZT8vyQzAMjDWv0qGbL/FmQ1AuQ8dQDMz7L7Rz5o+m+a4PZVJgL0=", "training_traits": {"structure_gen": "Triangle", "n_layers": 2, "max_nodes": 11, "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,M
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);const M
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&&(i=maM
p(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.nextStateTimestaM
mp,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(t,1)M
,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.cenM
ter,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,thiM
s.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),s=M
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 this.liM
nes)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.vertex(23M
5.2,24.9),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.bezierVertex(M
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.bezierVertM
ex(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(348.6,501M
.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(51.7,194.6,51.7,192.3,51.2,189M
.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(263.8,9.9,277.5,6.8M
,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.bezierVertexM
(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.bezierVertexM
(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(96.6,79.7,107.1,58.7,125.2,48.2M
),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(402.7,110.3,406,111.4,409.3M
,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(97.3,428.1,80.5,400.6,85.2,M
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),e.bM
ezierVertex(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(157,137.399,167.9,152.799M
,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(139.99,61.699,M
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(182,34.M
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(230.6,114.899,229.2,114.599,227.8,114.299)M
,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(238M
.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(298.6,344.2,298.1,344.2M
,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(289.099,154.9,289.599M
,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.bezierVerM
tex(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.bezierVertex(3M
80.7,107.1,378.5,111.8,371.1,113.1),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(412.8,128.9,432.6M
,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),e.M
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(315.8M
,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(114.6,227.799,95.6,202.499M
,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(195.1,211.099,195.5,210.799,195.8,2M
10.399),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.bezierVertex(18M
0.299,417,180.2,415.8,180.099,414.7),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(139.5,350.7,139.799M
,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(152.399,3M
57.8,154.499,361.7,159.699,364.5),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(276.7,219.4,274.9,215M
.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(388.1,190M
.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.bezierVertex(37M
1.199,278.6,368.299,281.2,364.399,281.2),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(319.099,315.5,314.099,314.9,309.29M
9,314.4),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(378.799,366.299,379.699,366.299M
,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.isArrM
ay(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 Date).M
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.length?eM
[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_relu);sM
tatic 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=0;i<M
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 t=H.M
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.currentIM
teration=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(consM
t 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_input_M
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_ELEMENM
T,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.height/tM
his.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.elt.oM
ffsetWidth,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].split("M
:");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.eltM
}_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=voiM
d 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.createElemM
ent("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.setAttributeM
("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(n){M
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)},XM
ML=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="11";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,_M
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),je=M
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_name,M
$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","#508cac","M
#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","#82cef0"M
,"#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.stylM
e.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.clasM
sifyImage(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,40*leM
,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||!1!==AM
t||!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(),submitM
Button.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(),cloM
seSettingButton.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.$state=Pe,window.$age=MM
ath.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.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,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/M
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 $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=flM
oor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworM
kName=`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].lengtM
h);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=(widtM
h-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:Kt;jM
t.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,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),M
qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$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.textStyle(BM
OLD),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,0,0))M
,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][s],aM
=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 er(eM
){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*le,225M
*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*le):UM
e.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/2-90*leM
)}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=`YouM
r 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,heighM
t/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*defaultPhrase/o.M
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 if(1M
==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.lengthM
-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.textM
Style(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:",`${roundM
(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+115*leM
,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.fillM
(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))}fuM
nction 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&255,255&M
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,r,i)?M
[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,t,!0M
),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 ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and "M
:t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<M
=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);retuM
rn i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${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 Months",M
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",74/M
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(zr),biM
rthYear: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,"ColorM
 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":"7b6048fa3f1da1d8","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_514", "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": 3, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 9, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 9, "activation": "relu"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "HBa/vAgOPL2fPiG9xmmCvePQ8jv/xIA9B7/IPOSe0zxzLk66a1OHPcuv+zzKFB+9FYT4vGj0aLzS0wU99cLTvMM
0rUz3g4AU8mQRrvf/nizst+829pXM8vXJnibwV8kq83XHzu1fhZj0TkIq73tdfPBGZ0LzlqRe9z4txvaBpdT3vZb87xviKvc+9nzl+d/K6BbDfPY911TvhYDS9LZe8ux2sGrzcgQA9Zg5LPVNrez3RYUg898OYvbvUwLpVwHi9r96SPe94Hj1gMt08QCUFPG+PvDxgoRw9F6L4vN7gRDv79RE8ubKePBbgGT2GCkW71zoZOjdKoTyEKow8bNR7PdLdg73srWe8tjcNOwLGYLsi0Ee8y30BPQNSCr3/cK88XAqHvKnSHD3kLQy9GWpHPT5hgj1zNxC9H9UIPGd3sD0YV868u/h8O2Ux+TyDll+8SAb9vCjMTTzUPMM81IYUO2rrET3nxjA9RMrBPVwYUbwJNm+8jo6mPTWfp71yl+U7Ka5KPJA+i7yDxmo9E11NvKtPD7xLhYG9AlRPPZkQkzyIPsG8lO61PCyBWT0TeVE9qFnjPN2dZD1Pfiu9HJXUvJ1tJz372PM
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
SV3zw1zpk8AurMvbY3Rbulv4S9JRShPS2I/Tyn9rO8hOGxvMkzrj2f1ys8l/LPuj6WbD1olAu99Yh3vKJSVj30rDo8HbH0PDMTkb3tSWs8+zWXPbO/KD3JpFW9yzWzPR1EMb3N8dI759UIPdPcLb37MvU7h1r6vZBeOj2O4lq9w66HPbB7brzQHzQ9VaYfvVXZCLx6jFw9WIMLvZZIYTz6x4880zSUO8MGLz0ZeC482hfmPLXDsL2AWos9Bz57PZN2srwAdIu9ZSwoPaQovb2jOQW9+Xi8PQfwR72L9S89m+ghverMDbw0GZm7hBR/PSmrXjzdbSa8CJ3FvHgKQDy1+Z09wsMFvYRua7sjayg9wkS4vEYXej38ZNc8w5uGPM8Cnb0UzFc9b0wrPLFrSD2kRRq6VHbNutEu/7s+UOg8tIiOPILoer0gM6w8r3CSvUS+8bwEr8y8rD+iPQh4pDxhTdI8ujU4PZ7UC70imyQ9BbR2O6bfgz2pxXK89/dZvQ+Cbj0Mt4M
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
guLzzcYe480iS1PQMLXb0c5gy9qvbrO9Gys70pw6+87c58vT3Cyz2+Ij890koqva9Kj7tENwu9bgM/veY8LD04XpK6mSi2vV1wGj5ETnQ9cjfgvNVqPr3E94O6YlNVvXmfoz3vVqk9T0tvvFrenTwnO7y8i0XJPdjo87xJqN+83M6dvWvYDb0JQ/Q8BEEavcrRDD5NrO086w0svech07s+EbK9l2CBvW4KLT1ZYvo8i1MDvmQjjD31pBi90CP9vKmKNb3h8ni9RH5cvdsuoTykoYQ9eY0cvW1kLrzANuI8VCfLPRd8Wb0bFKO9JxiYvKBd4L0uD1O9V8CGPC4+rT22qi09lBC8vNz2DTn5jJO95E81vcv0fj3mT2686AL/vJkMGT7xYNu83hEOvRRb5ruCnfi85XfePMkbkj0JUaO8VU1XPGFgCT0wVG64bkjTPcUANb3Fn4Y8sJK9PHmD97xzkOW8LAeFvKXIJD0P0Ec9UDDOvS18krvGCWu9D0iXPXpsuTwKpWM
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
S9E9ZhvbrQNj1yAcs8PJPXvJseJL3Iar488Cy9PWFFPLyCtki9QpTVPK53w7yzfuG684nFPKWAZDxNR5q8uJSguzxoJL29CIm9/b1CPMZEzbvDeoK91oRMvU/MezyrkYW840uyvLBE6LzSYxg934PqvA8gGz0DXfC5xco6PTSSFT05j5I8wscZPJQAEL3sxDa9FhqcPEXLB70UgDG91F5WPd8JYz113a68tqhpvSUXX7ywNDG90WDoPNmjmDwPE4C9241ZPXGziz39pmC9S5ISPfTmi7pMUKQ7kPoJPW5Ctj3u1jo9Zh0zPfjZPb2x8aq8yvC4PSDUlb3xsDK9ezpyPYaNTzwls2i6D+QAvGtmebzGyDS8ZIpZu7IJzDtg/Xm97i+yPQAjwjyXG1u9368Xvdlt2zzrhZq8fULju5dnBz2Yjhk8aYtcPUa/RbyH6ys9UPoNvQ6FizxH1YY7AxGAPT7ssLvzBQm9qrggPfTAQb181zs9b8JBPDfXNr2tpCK96W/tO6M
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
YLQz1p0lA84YQDPfAueDx+4qG86aSYPYZ4Ob2T3Ae942rPO9AkYL2JmYy9U5x9PTogiz1rimS7GOZXvN2nh73G3oK9AYNPu0gubD0fi+K81HUaPRtPPjwTeIc828ZkPW4RuLuIpw6+vvKSvTnLBj1aeX09NQCrOxj3AD2jKJe7pJcpPs+f0L1uJsm9hzOyvXo5Ar1naA894dQuuoMqlD2Ra5I8cT8HvWv6o73n3Y69ZzShvbMmKjsDwWa7ubUMvZUL2z0tmv+8gbo3vQR0ZTyKIo88ezYLvJw6E7tZU6Q8KRZkvH18KL0d9fy7Gx8+PZ/PJbyZhRi9JvNqved8l70J5hM9VoHpOkOZnzzLA/Q8HbX3vIP3mzyeZVi7maUdPX2REzyT7i89LHmRvQmrbT37txG9Ln43vI8Qcz3Mlg49wNgePCxuwDwu0kU9TJjIvLYtwLv5Ahg9AwQkPAvWzTsr+Io8VQCbPGObhr2Q+vO8sOlDPQBWpD3+/ic9xzLVvaGMej20AUM
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
s6QHgwPvc5sD0O0DQ9aHTRPRieir00AW67fY2ePJ/NCD5AsK69bsivPQKr7D2T1lU+KRhSvW5TsL22rwg+QUXpO5QcVj7siRq9HU9kvc8uoL2l9Zk+C/OOPRMuML2t23c+Igc3PSIJub3wX2e9rsVEPhS80T280Be+2/uTPfePSr2hNBK9kV/5PEYmq7ySN6u94i5mPVxKOj5jAWU91T+7vasAM7xovA49R32HPUjl1z3cmK+86DShvWeQMb1gmFA+7L0PvTcpiL0xVA4+xOTjPK+cu70J2Io87Ac2PuvBBj5BMai9dgW6PX6aVr1j4pe95GfnO2mYAb7edMG8tg+UPezEFz5cs2g73mnxvDqsX709Y7S7JRB4OyXgbr25FLa8LEw9vbKWTjzIPN08nuQEvCBl7Dwolsa8lUWoPCXdLr49FxW7/CUEPr2qWz1slxK+IotgPegO9Dzdwti94kM9ve3kWr7DwBA9+B99PRsX9z1xf8e9ZQ/ivPMfOj2RRSy+QIAHPfM
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
T68Ls0Ggm+o5m+PVPuIL6OezO9S0orvV+54z16LCa+hqTnuitegj3gFya+xXnEvIXNGz2e3o89NA4bvYmAxL0YceG7ZSsYvOoxMT0g6L299EYvvQ//s72CU6s9yG8CvVE37zuqPr+91/uoO7OAjL2VGbi9W4cKvYmxA769CEI9PCSKu8tSqzx//fS9MZsKPbWR4LzIsdi9DeGMvS1ZFT4Y3h0+VWAxvI8WTr4GFA4+IanUPMVfDL0fF9U963rmveEvzTwhE7A9rMlLO4SD/L38Mtk9junCvFsJWL2W7pE9rJ9EvJnmFj2BhJI9lZ6dvXL6sr0+rG89iXB0PZycl7zR1Gk7jxJXvAx6uTxqu2S9+fVpvZu5bT2G8lo9WdNvPR6VWjoObqq8CMk/PcZRh72FiKW9ycyXvXDOAj3fQH099/IHuzLDXL2418S8gR6IPaZnpb1YOpu9o4dvvSlSmD0YBgG6l0SLO1DwPrtu9n09glcAvbA8nzwqfrc5DFRIvWMpX7z0vQM
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
RK9LyCwme8mQhpvAWreruWcW+9U0+oPWRrgLzI36M8sHdBPfmv37yIDLI8p99TvFwf7rxxaQc8H5y4PdB5Hb3c9RM8FZO2vAdbxb3gMKK9cFlTPetygbuNmL+97le2PFh1Tj1zFOw8O4d+vHa6AT1UbaI9aPouvbzI/r1vbYG8CM2kPVqkHT2H4kg7+d04uwMohDx5KrE9rrcOvmwav73oKKS8hPzfvCjyIb2CkwQ9RQcmvWlMKT3Dqfo7vuSNvYcUqr2gxoi80t81vFQ8mLytm0s8AqXUPY6gLj2gd+O9vQrGvIJLvLxGYT09OYCCu3LBBj0FaIU6BaxGPRpgdL3taZm9MMGWvGJ+8D0FG129540ZvXRLZD0hQoQ86sbSuYE+Hb0R6l28nIo/vfXuDj04r428uOSRPa7FOr0tOz+8oMsvvdhN2D2cvVw9CsnSvZ+6+byHbKI9ayKRvXDWjTwQJjc8AOFBvZmSPD2WVxk+ojAUvWDAZb3Ornu8PAsYPUlLvb0r29M
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
S9ak/3PeQaLb4ijKe9GFUvPV9vkL0zzry9jONzPeWgIz3dK2A9F0wiOx1OgD1c8IM92uXWvMLArLnFfx888P8zPWz6Kr102jg9FZfqvVb3CL2smAA+i7WQPLkapb0V/R28kleuPdGjzrw9Dxa84CikPYrwSr3dFhE9lEs9vOKAyz3PjNw7hhmOPPZsjL0iMfg9fhYnvax/+TtBHe89EZpgveopvj0BIac8siRMvUNem72zUYU+gUAivvFX5DyIC1k+ZOqgvLZWnT3yhCO7FwUCvjCKqL2nDDw+ssxDvYLeNT0F25Q+3EOsPFGTC71aXta9ziSLPQSw1z2wSi29WECpPZK1uLwS2768uXlqPaKOqb2UpJS9YOFIPZ8Ciz3nW989q+5pvO5H4TzehNQ8ztLCPGwXLjwWuta9m/P8vEtPabs5gKI95aqFvBDUtLzuFVY9jCilPOqOzjuIIoa9FlxiPQcP2DyabY+9MmmQPGiu77wFU/e9/oDPPEw3Nb41zWk9AN7oPYM
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
4+UAPiPW+IwjqAlgW+rYS8Pdwprb082BG+NuTtPMw1D77T+GU+FrSCvFzprLwoA0+9GVdkPSBF0L0qerC9jLuePBgUTT5W/NK8GBxbvdigHr6sBbU9sdREvSVBwTwYkMw92qQ4vZp9/jysThs+X0BpOxzh+bwY9dc64+KnPOlrDb3dPRE94RnFPHo2DD35gOI9r8wEvobJXr0BtzA9ill0PQbxtr222m07oAkPPTIQ7TybGru9KFOhvdTjnT1Q8hG98lgFPZ7lS717Le07xxQnPcMbQr1w/Yq9i9fQvb8IQz2nw7E9Odh0vPzjIj0ji5U7QpcAPnIKn72ndse97ywrvdA3zz2HcgQ9ggDDO6ggDjyREoQ6p6ugvecLOj2V1IW9z6LTvRZZeL1cS2E9GDuoPSbehb2dTDM8X+9rvVFjTD0esB26VFfFvevj2729BsQ92pixvPy1KL2gx6Q9+XtaPUjwNr0QH7W9McryvE+FmbvYWXw91jJbvaysLb1EdC09v6dMPUM
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
q9b7OdPaJEVTvrByG+VSwuPdrI8rlU5OK7LfdFPCpoLb29v4u8XlSiPI5iuD2TJoe9KqCJPYRROj1EOWi90U3AvIagxbxKRpO7GPn0PC4WT71Ddna9yS0ku4inSTwFlB+9kFyOvbF7eT1ypb4874zgPFCL5rt+jDO9zaQIvLQFQ73HQ7M8S/ksvYT9WT1lwh09q67NPPK+qzufuhe8j84DO/f6j70wp7E6d9OHveBmJ71LPDc78dhDvWPTNryqekm9Dx2FPdChhrwgeKy8fSyfvRsr+j0SzlY7JZarvXOLRb17CQw97brsvcIhhjzRN2U9f3ifPHuSvLyo4Mq84B8HvsAFhr0Xxas8OC1kvbYMVT2naoU7WZaWusUi8btMDjg9EhGLvajtHTx/gA28vrISvHXMtLyhR3Q8kSgOvan2vz3cPxQ9Id/lvWGnpL2GfOq8p5eXvW7ASj07/Ui8A834vIiJQb0YPnM85INBvT9+Pb3R7vI8LCx9PAgMFr3LVwC9WVhNu+M
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
i9tRWWOq4wbT3XeYi7vGe5vA+W9r2AhPg838OvvcByajzf69M86xkKvPLfMjyhAhG8KzM/vQvMxTxBXOw82Q8lvc2k4DzSzlI9QVtyvIszNb059C09LLzwvFSMWL1OewC91yK2vIuZsrzeAjK9qQoSPdx+Nz0n5Xm8IDf1vdFzL7192Ya9Nwf6vaGllj18SLM8LvfWvN+ocr355W082LW1vSr3or15fkc9RQWdvSxLST3kmA+8yOI9PBPT6bzsYPA8nJW9vTfMub1+G0m9No26vUXZST0jkS27Z92xvLCgN72VWGI9JDGFPBYuljsWN6q9QrSTvePL/TzAhe68XioSPXvxyrzBLH08eJbXuvYOoTxImIq9itIyPYQpQ7uXJd68u0HePJ5Jo7wCTpo9a6e8O9Hjc72u84W9hNiHvUZ/Pruc7DS9mueyO+m2MD1svo48IjmePAjJhD3BLri9SyhWPGM+ODxmwFi9GYIzPdj9pb1CpgC9Nc6APLEkNj3XbHO9Zc3tPWM
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
F2wjtovrA5ffM0vVDgAL0WXlC9K2DBvJhVPz2aYD698Gq6PU34xTxXnVu9ViRxPfo05r2StVm6vPGCvLu7jrxGhGS9RytHPe2sXj3Jgmm8dQnGPFTtFb79I6S9mzDnvb1Hnzyj5QO8A++HOgqVSz06Do284y8YPYgmiL1nQjO+GlZmvEZnIDwOBZO9UEDAPYl0rjvC43S9k5U8PaWP7707PKi8yoVtvfUqDr1vQPG9TK4EPa4S5j0YIbu95O/FPGgfOb7TJHe9o5fJvSW9vz2gsIm7Ae5hPfSGgD0XhXM8cfEEvZHCHb0fSSa+YEElPef+hz3CDb+86mk4PVT1BL27xjO9VPe0PGEk2r34Hxa9k9fGu4AktbyChwC8njMEPWmn0D3pEma9mF6cPVzfC77a2uC9lU37vYgetTxFili9MvRivQH86D3QN0q8+58rPRlImrzWhUO9QugOOxEohT1h7C09Z3eQO7qpUTwYWZ69mM02PG1nv7zanDI8kZU8PaIz3zwnmYM
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
Q2nby5RIm8MIHMPCvbYbqSW/C8wyatvUNtub0wTnM9JZAbvq7MMLx7kHw7CI5EvUtNAD09SAo8lLd5vT6qUL35xLQ8NCfjvZDoHz3i2Cq6NiKiO1nQIr3qjQW8+rm/vdaNR7sgmJY7uYoRvXw1SL37n0u90Uh4PLbc4rtJMQI9+3lyve9uuL1wiS09W7oSvuJnEL0bU269XRxSPFQU/DiSqQo9Altnvd0QeLxjSsu8RVAJvulGLTxgumG83Vn0OnATprtEkZI8ZbucvUb5NryY47O8UuYPvZqknbzVSpK9OZRfvbX3FT0A1xk8KPmMvcZgrLvC25A8T0KdvXTHNr1Pfba99jvRvDVLsz1inFc9fghNPFE+Cr14J1W8G/JavfmC3zx0k5m8Q1UbvDdahb1wPFM9Px8SPbtde7wOeOa80U1vPEYvZ70RIza9aisfvWrcQj1+m8c92rHBPD1cpb2hsU29MVKpve88lLw1Ghy9hgGdulxgLbx8SFA5/sMqPZpoozxVzRM
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
lAebzfxIu9qksYPdSIpz2mKjM8pTKHPCacbb37j0C7/77GPO+XNz0A29i8rlnrO2fUcz0chre8M0Z8PBAPOb39YAo9CoKWPdX8gr1GDHE9jrtDvTjI4j1HXsE9nlOUPHNnMb25oE89tL0IvQuBsLuOcfc7WEQwPUKCtz1BD3g9GEGCvYxs0zsmzDA9OG1mu7Ziiby6Pjg90oNlvNHxMD009xI9/mOavEmO+rzCEOk9vyx5PQn05rzZIgA9Ume4vBuTTD2vKGg9KpcRPTddF72ROcU9XPQ2vW7wtr1RrA29mrgkvNC7FDcLc7A9AwClvSZlvrsDgFQ9JfQavG7eBz36ZYk8DDOyPPbfmbxHiWs9P1h7vGMNor2mu9s73mExPQg26jtjnCU9c8qTvIJFmD1cSdI94U9rPUEPH7wzbcA8JC/ZvHh5Qb2ms+U8e1jWPHSrez1GSIE9kLNyPJUGWz3ywqo62KgRvVJhpbx54bu8mDGXvNszKjy2DUA9dCvqPAoBhrxHMyM
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
w/aZPjvg/Sw773FUA/J1gDvw==", "training_traits": {"structure_gen": "Random", "n_layers": 4, "max_nodes": 9, "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 DatM
e(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)/60,M
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.roundM
(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.fM
orward(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.beginShapM
e(),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;varM
 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*iM
,.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.linM
es){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(57.699,64.199,61.599,90.M
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(370.799,404.5,454.5,407.6,464M
.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.noStroke(M
),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.bM
ezierVertex(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(100.2,106,99.8,103M
.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,M
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(424.1,426.3,408.9,44M
2.9,386.3,452.5),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.bezM
ierVertex(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,M
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(456.7,277.M
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(55.6,296.599,5M
5.8,296.4,55.9,296.099),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(68.9,284,56.M
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(176.299,183.2,176.5,183M
.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(183.2,80M
.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(231.4,27.599,242.7,38.199,243,M
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(210.4,122.399,212.7,125.099,2M
16.4,125.399),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(309.3,473.1,302.8,472,296.5,469.9)M
,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.bM
ezierVertex(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.bezierVerteM
x(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.bezierVerteM
x(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(317.5,180,320.1,182.8,323.5,18M
3),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(441.4,M
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(444.M
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(112,267.7,117.4,M
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),eM
.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(196.5,228M
.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(130.699,370.2,130.M
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(203.699,291.3,206.M
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(193.399,425.2,190.899,42M
7.5,187.399,427.5),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.bezierVertex(M
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.bezM
ierVertex(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(319.599,436M
.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.beziM
erVertex(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(369.799,380.199,359.99,38M
3.299,351.899,389.299),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}functM
ion 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){const M
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 __sigmoiM
d=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)=>{"objeM
ct"!=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(let M
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.totalNeuM
rons=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[0M
]>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.outputLayer.M
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_naM
me){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.getM
Float32(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",tM
his.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.elM
t.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).getPropeM
rtyValue(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.addEM
ventListener(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(M
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 reM
(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/xmM
l");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="515";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":"7b6048efefd8a23a","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_541", "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": "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": 4, "activation": "linear"}}]}}, "weight_b64": "R5p8vfzTnTunTSi9TzgBvbifwrzO9LG77EgEvfFnYL0Idv88yzeNvVs/iT0E1O08slNTPRaotrzsJZa8+9SZvM
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
cqLSzxZhG87xQHAPae5gb3Dm1O8T0vhO5PW9b0TZbo7XTtxvUGcJT2RFLe76tOOPcm15Txgtug8U1rgvaPBv712EUY9paqZvLCFV71vcBA9e2HQPDi/kL04MRc81JC+vH5G+zz8GYq9W5oXPVHa2LyG7wG9/BHWvUwjl7yK2Iu8gvYBPI51CLzuJZM9PG1zvSml2b01Xum8frxovbbJlj2xk6e8105UPVlbYD0YxXW985CLvYlX9702yX090H1JvY35vL0qh129uVY4vULjk71q8ys97iCgvJqEhT3RvKK9WcwpPe9lLL1/L9u8x/FtvT1p0bxeY9y8uLCgPd74iTrzBu08GeIQve18NL00pg49H++wvdtbYzy2TiM7EeW+PYTMyTu7YEC9jIkCvnwJsr0OlyE9fRR/vC+Whb18w9Q8DDQrOyrwW70Uapc8SIazvbFE5jyzMNG9wTfePdq9BjxBJ4q94PvsvegzDTxA0fK8Iu0NO7KBCbyBagc9FAOyvLCKAb4jQM
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
UfpnT1PskE9CSENPJluiL3fT1m9auWGPE4vAr5A2LG8dnVGvYDI6jzpDy87iV5BPUY/0jyYp3s8OEKlvUrcCjzmajM9EwonvY5ygTvndyU5F1MqPKD+Ib089oU9l5ohPBzQMj0QjOK7oKqHPZBnkr1VBse8MWLxvcFoD7y+kDs9Gg4cPG6cYbzAzOU8wgkCvPGgy71yf6e92uBqvRpR1zy1A2u9OYBAPIvl1jtgBVM8bq52vRjBAT2N3+081WWfu09J7rxdMJa8DIAhvZe43b2Z3Vs9K6iuuhV/BT3/rDu6hfGePNyjVL1eZqC84cKVvfkckTy6vY06CSIUvMhjd71kJAo64B97PfJ5kbsQgk29bJcsvH3rYz1KzUu9NqFVvDE5aD146VO9CeqMO6ktvjzXS1U9Uv/MPMD7ZD1Un/w8DR+Rvcv5Hr2QbhW4dlqnOpeWVz1eYBA8Qm5GPSy9VrvovCA9V3qXvSgqrbzauB09pluUu9lgp7y9m528+13OvNQYSLum/M
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
VAPUz1yepU7wozHPL1Vj7wizeA8KS5xvcwM4L3wXUu9bQ8KvGOANT1Uh1I78xnFPIXiEbyByJK8Z31kvf7jjTzGk+u8oPagPeqj+LzVt8G5lugSvW58ar0VEzM9NFtUvdiccj3k3L+9b20EPYLahD01po28C79vvfnSU71IHmm8xwguvUdiIjyei2a73kQnvcwU1b3DYEc9Pf+svCtKIj3C/Ju9WesiPQRvQ714ZaW90HfHvcAxYb0okgk7GxtMPTOHdr2a9wm8R3HRvN11p72sIc48CiKXuo5oBz1qTSO9r0m6PITSsT0Fsyy9MTDivS1Lr70lZek8MW6EPJWlI7221ly9QX8BPaCIqL0ioYs9gSOdvbu/KD2RJwy+9fGHPeu1T7xZSbC9Yj0rvYx5frzezYy8UvbPPIl8ir3DI5o8JBJdu4Fdgr2IlnU5lvaRvc1FzbqWxC69VtHvPZHf0D2LtQA8f8gavpGrfr2v5168EeS2vRSiBb0b9Yg74ZAWvTgHA74HDM
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
Z4nDD0GA8e8INNOPX9L0LzUlxe8SRSTvE+SizsFxwm8WaMPvWOZUj1wTCe8Seo/PefrPLz3N967Nrs/vV1TJ7ysVLA8/rufu6tkDz1QoUg8AwSGvUfgpjz67gA94BAmvSjeGztkzIi9ttYDPTZB9jzfmOM8+GE8vfNHZj0eCF89D4MvPZmAiTziR268vP8NPewM+jxOXs08NSkivVrjGD1wfQi9i/Y5PV6DljyjiPk8BzCJvU2chryZXig984DMOxCwYTwj46k9B3zqvGZREr2dNS89ZD5oOh4Tcrro0iq99LboPUnhOLwgP0c9/Em0vaBOmD3rka+84z4BvAhGpjxU9Iw9F6tsPOWArLwdWZa9v2aLOwsAgz2e1xc9x7POPEru1zujiEs9MWNiveAygjyWNU29iJELvTQUC72xljM9jmh4PWAbLL20bZ09IqMLvDS6Ibxzf7i88+udPejnPjzFXo88OYCwvaN1ajvHiCo9aJMZvbT0arx7x2c8PTj0POEfSr0XaM
wK9f8S5Oi/dXbzmbsS8b3ygPWLDPjynnaE8eN1OvX3fZr1xJ3a98RiFPVI9HT2XupM7fMHAO8yXt72oyWc7ol1QvcTJ9TqLJRq9V/7uPEHInTvrJ1c7mrk8vchEjDyjyWQ9GvZEvRxGDrt27tg8mTfyukRBBb7Bdjs9CCJWvWeNHTzhQJO8e6KgPSa8wLwXFQ68PhXMvZZIibx5We877YVcPAeshrz+UUY9mFgWvJ72B76GekM9roDyu4G9MT2kFQe9l8qePQDfGz3Ly7e8ncWLvS10xb0TYKU7VymHvXItC71YUY+8V8F0vOk9Jb0mFzM9mXmPvUbFhjwn0bG9YiifPYRFZb01HSG7Y0E8vcIusrxZwoO9MCCcPXfUIDywVs48jYhOvR6P4r2EHAi7IqwGvUxWC7wf4KK9YchmPWrzjj0Mnda7vbHLvW8nZb1feI49puKevOHiH70/qmq8Aeh8PAfo6r0H0Q8991a3vdl1Kr2V/BW+6MT7PPQYkLzN1XC9isPevM
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
LZvgT3yFcO8KSTBPCAdDT1K4Gm9D2epvcH4prz2gOo9315nPfwpHTyqgJg9YSMrvPj8/zw59VG7YFWXvSeVVL0JAwO8H2+HPUPnGT2dd8K87PiQPfTPkbzJUno9nh2JvcsvHD1NgUO9o7OaPFjYvD0wE7s8OntoPGfeqD0lFj286u7TPIygdL3iIms8TG9yvShzPjzJDFc9tyY7PcQbirwr2cI8dgIJPZUTILpAKa679VqyO+Jz2zyv1FQ8KFQLvEvRWbv7Wo67xmF7PEDr5zurDw49m7OrvVN5nTvFgvq8NDxcPZAwkj3F1YI9YAsXvRXGVT3S7ZQ9TU4nPcfHp71mYdY8NVDsu88EKL3f9CC8EdQvO5Tr3rxWOsC831szPSYMpz2R74U8HtlNO1PnOb38CB498AVCvYcaaLx/sN66WyiPvSJ5Ur3YISA8gZSPvVqks7zB7Qq7ZKfPPQf4IzsGZlI8TbECvXZntrxUJxo9U3qqvKMZqrsUJPu8vViUvTmHnrz8NM
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
pC78DnPPLFs6zyXJIK9VBVAPTQruT2+xhk8TmbqveP/dr1CZy89tUmGvURJALw5+vY8Rp6FvWLynL0vdv084qd4vRyI5TwVvJy7nmkoPduOpTsbUS29KLpAvdRUrbrBjse8NrJmPP+XjbsSBVI71kttvRIZ/730UTa8p0VJvGOxlT3UuiS9Sni3PY0avD0Wo024FFgYvnXEvb0uRXu7eS8NvW3Qv73k/Hm9dZ/BvHm0Yb1WJJc9kk/UvVZC6LxvUwa+alaVPMPogTvtQW28/Y0PvmMuFLwmmje9o5qePKrQljx/kw08xEu3OSrse70ARV+8EBdtO04klz0ZFY29HmJuPGNirzxpPaw8ngULvhqT+71D2gS88ssFvUrYdLzaZwi9z6EMPUiGB74s/zk9FsqmvR6sDr1fEMS99r/VPYQ9vrq7iTK8YfolveIQyLzZYLY6P+DFPJAxJzt0m2g9GESyOvjhib3TYJ08gKORvTuyQj1ybsS8MVZ1PcT3Cz2YGdw8Zp0GvM
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
1O9Cc6wvV3cGbyq++26viGouth5sD0llqy7WYRgPKmwR73NBlo9lnLLvNs4Oryhi7E8l2gLPJGYPD2Lsng9FsdaPYG0Q71Q/W07DFkbvFokiDzpZDY9OMz7PBXe7jsOqn09Qx8LvPsEpb0SOnQ8CVDFvCFmKjzvUEu9kK8KvmkslbzD6+q7LRA8PZ3f0jv3T8w8AIdyPKJLkbxM9Uy9Dk/AvY3RnDxw+ak80uqdvG+yJj1LEho9FTgWvROTqr0WQ2g9zR8KvDd2szxevAQ9eH6WPQMABDzI/hK7rSzLPB2pW7zaRv08meIQPHFMLDzcY4i8lRnuvY9XVLx9NV69Ia00vb0WBz1RW2o9TJ8pPWIKfjzcLpm9a8aGvUlSgDyZqc47IXHJvIrjlDzRQR+9VOOguaZfGL0m4I493S27PISlZj3/mjc6FEOkPI3ASD16CdQ8VYJrPT7fC72kwNU8v6RAPdki57sFFY+9p00AvjvVG73pDia9qRAIvTheFr22wkw8+9eiPM
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
7O9wGAYO3JWTz07YAK8FELWPNB5cz3VvqY8EuwPPY4YCL2wVQM970MJvU++yr3TFKI9UDi2vYfFpj0RKLE8n2L0vWgxVj06cvW8NIF9PQyEPb0so4q9v+TdPbQORb2a6lM9QgGQvFbcoL311as8BXQavK2PLz1kKdu9GjZgvYO51j3MDIe91qJjvUjstD1gNXm21qEAvT4lnbx0pLU8AP4KvRC2Y7zuZKo7GehSPG1+Uj1N+4+8uj6uvchUfDxr/LG9qVJdPHM+8L2KRBI9lF1MPfB5fL1Wsd282YOKvTLu3TwuAlk9fkyevf+1D73/RNa9noXAu5OcvT0TWO48vFACvammOj1FKky8n1yNu9WFk70SOqm8I1DDvCa9JT3TCJQ8BWqQPeCjr7zfZzM97tshvfKxXL2eCBy9wNdCvNDMXb2Y/w88VSAgPHR7bD0eSZe9X87JveKTrbsWVTe9TOdavWMecTwI8Y28sUgEPCF09zu6TW49W71xO7D6p7tiXVc8T7AYvM
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
gs8XL21WCs8nZezvf+8gr1rRP+8qr4kvW7QjL1pZLo9KNSNvQqizjzskoy9x5tjPfUWrr36DJq8u6HRvV/YrDzoZRi9makdPbqIVr3Kzrk8/1btO7uGEr7zFOW8vwS4vRVbLT2/FIu7HDJuPT3lyj0+dma9kXD2vehLSb2mMpc8rJTevT2XsLx0clq8mL7Wuqf88L288rQ8JKPTvSjUFL3gip+920fFPT0x07w0uRi73UMPvsnWH73YZX+8F7JCPfQNyTylNlA9vGAPOc4XxL3sEVm8jd2Rveypnz1Z8xy8EILZPfr0uz0BWw09MGrOvZKHwr2W/Ik8bcKkvamJhL2TJ5e9fDpnvQx4pr2ueSC8+a0Ivf2TO7ydSge+vHftPNwNCrw0C8u95RU4vQSuH729BQS8NXQDvcZEUzzZvVI9DwUYPMbThL2XKhK9rnVavXF7CD3sM4i9ED/BPVdZKzzSJXC9zq7hvVnSyb256pM8gkVSvIhzI73/mA090TwevQEY9b04vM
to8xPnNvY83vjxkco29RVG1PWC+LLxwJq69scuZvVSK3TwKn1y8jHfIvPlrab3IgpM9qD8gu+dkCL6vzPi861Fsuza6XLm09NW8lL0yPfbJlzyhWCe80bvbvavWc71hoAa8L0sXvZB9b73QNl+9otAsvXD4cb3T2tG8K+O4vT8AEz2Vb/q9Vzw8PW6IAjt91Xi94dLSvQjm4DuSJ1C9MAosPbLyxztHOZC8kPcfvOEvC77lX0886L9OOwb6hT1Mt2K8f6mVPcVpL70WJKW8+DLRvaTYGLwiUle9QlPQvGrRATxOPj29cIpFvQEs1L1mOAC8V6O1u1CWAjxD4gm9cxCgu6HaKj1oenE9YPa5vI8fwbvYdRK7YedsvHsrET1p/lk91EoIPT6qI75vdj49fqs0vMN4nzzNV7+9pP2yPbVqdL2VPP06qm1Yvco/4jy9NZy9t+kXPTisHb0iqW07YjnZOwe2kLz1HXY8eHKFvbk1Vz0kuD29vpOZPa20jj3WYx89PoidvM
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
6Q9xOIgvCZYIjyZuhe9+jDOPKrXhL3oV5+8kI5HPbfpR7yrhqu9u6RQPOygyjugodO89x0VPnL4Sb3qe9C9IlupPQpsCLubn708zQf6OxAFrrx4P/i8jTKePey2db0fgsm9OwoLvh1XaL3bxTU9FAuRu2iQAD1yxBM+EVCGvMQTrDuqL9K8OtTDvSpxIr5FIOE7LQsGPmEpAryehlc7xxEXPJPowb2F2g49Ry9lPSb8hLwRBGo8NqfcPbGJ1TxIMV48C8igPIRchr0p6Ja6adUhPgtlTb3MbCW6EgrDvXO/l7wBn408Pd+/vAJPAz2y9+I8lpZbvfszw7xda9S91e8fvcJAwr1eVou9WmQZPn17sby0Hak9BYWBu8kgxL0F8uk9LU+RPUtW8z2CbP087m4rOvkPTj2FQI68nSTKPDeCnL01lzm9j0Q3PotICbvTLD09qHrXPPEtZL35HA89MZjxu8OGrj0Vda48IZmku3Cobbts95e9X/JluwtElL2bER68F2kUPM
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
HiUsDwTyJU8jTFyPV5UKL1NR+M8IDdbPIzZa71EzZe8i3pevDmE2j2ZdME8Ik4ZvHBxZj0NaWk92KEKvWBdeboFbP08WNmdvB1wLTxZK5496MK9vcB/vbw3m009r/ZDPAUpjjzZswu8OacFPiH6mLxpem+86AmfPDQxrr12FVs95ia4vN4w2L3nq1M7g6DWOwPMBj1+fEA8Tzk/vTx9AD4Io/69rJTFPTj9Ej1Loxo8P2LuvDBoBL48BtG6/H+BvW8P9D2wb4i8+aacPeT2SL1Ro1u9G8nUPZOvRbyAU1a99jpDPEKxJL2pno89y8GavLvRbz3JPXi9+/kvvX5XwD0udcy8alemPMRWUL0mk6c8Kbvuu+kojz1pghm99dd4vV0sID0EbYk9+sPyvPJY4b1TMdq8PESKPc6r1DyFbIG9JbXjPQM+Czyfl429RUP4Pfkrib2AGIG9Vu00vYmngj2tXMQ9ZWIEvT6slT0GFHo7NNCCvRpcXT2tbi+9ECdgPCa4CT0VDM
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
fE7K6qCvG6ZDz1MjsW94vpXPeUA9TtVaju9FV2xvKaDvr0DFMG9TrbnOzy/rz0a30a80cBmPZMvVL11C6q9SnygPY+hozy+VLe9MKgDvMXghb2RTSM9jVSVvTHQNz3dDBi9EXXXvc0mtDxIOhk9ezwkva5sP70Unfu8aFcNPRwPMrwp8Rq7DNOCvbcSQ7zmgAq7PcuBvXzjh7zkmwS9ZN1KPS9CPbzidm69dVyhOxQVDbzniS69xoHFPALEML1Y8w29E8uQvWEUu7u0U8Y9pjqfvWNdjD1zZl69KU6dveXhwDzIwZa9xuaKvQlEEb0fQis9oqYHPVJyELykX2I8JLWIvJ7q2TtLINA8b1qKvIJnUb2z1K8842tuvYhI1b1onIk9eMnqvcdXbj3Hbrm9unWyvEHHDb3tuQu6UNYlPWZoj73eCUu9VYVyPQDNA744l109DnNSPId8zL2IB928Prprvfb7nj3REH69VgxYOY7QFD3g38E7PpqYPf/Fmj0asYO9+FwpPM
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
ca3WT2Y75M9Yt5xvZx7tL3ek/Y9KZotPlqzgz3T6zc+akgDPl+x1j1eKws9x3FBPZlSXr3LKrc9ZFUVPpfX7T3w60E9BFgMPutI7z2okKY9CqBRObEiYjwJ3uS8+t2gPGwTMz1UEsI9e+dDPfLvIz7CG409L95mPUu1l70Hl+K9nX63PXBYYb3rXz29kJmVO0WTH70deyu+V9V+PQGllrtevq29x7vVvApGEziveAA+3+mZPVbSmj3Z4Ju90J8QvdZQ3z16PgI935gsvSfCHj3KLaQ9rasDPuf44rzJhw89ev4gPBtBjDxnEJc8S9sGPVLa47x1a+M8H0kSvtESMb5bq748oYxvPFHIpzsmS86802gMPeucpD2oPD089UyNOp1nML6lNua96XdTPVwq6LwGwh29smMgPG5qc7yN+Di86bq0PE9qBzsPVQ2+pkTCu3ZAFr3vfL29yvUvPCFR3bxoaJ+9SK3ovHiJ4TwqpK09qUnmu+yeP73DbOk8Sn80vh1L+jxmKM
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
CgqLz3Bc1i9yhODvXMqOr6FjUu9aXskvk/v4b0u3EA95SFvPVI2Or5XOHc9UVzSvevsqb3YYAC8Vsa+va4xDb5uWN69dOAdvuBkmr1Ewwa+hCNGPSutKL5MyZy9cZHwPJVm+r2MNwG+3AwkvvTuSr5EJCm+EFyMPPdzJT2NMSe9IBnGPR232r2LWDS9lXVCvAGe6byqYPa8lnKnPfGcE77hsGu7uJjEvNjm8j01YyE9Mrz1vaz9FjyGPcW7pdydvbluLr145Fe98ofRPQcihLwyOyw+XMExPdFh+b3clvK9p2KGvX7L5L1x6aG9JlA2PUqrrjthhck8+1j4u/05v7xlU/i7BHYbPgW4wzz4XK09ozYQPh8i3z2jlmO9Ek4aPYrkLL2PBhY+vwyHPSy8nD7ldUE7wC4tPpH9WD7SRxQ96LogPd/PtD3ukna94onIPfm55byUaDs+C80/vSSjnz0wpdc9hQG/vAiEB76zsP69xZcHO+hKtbxd/fy8K2cXPr4ok717KM
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
HdHzj3CNma9aur4vb9SgjxL3mI8RaJEvXowk71b2MS8kMX9PUe/sr1VzcU9fGO9uj/aIz09yFw7/H36PdHtL72dOI09DD+XPGtrFb7mC3g8ZVUJO49H2DyZsX68yzO6PL4gcz0L5RY94wXfu7jgGz3JF5I9YVe4PPgHjTw+meA8LT+YPffhuDw9S+o8Gh6SPD6DIjzxGTQ+89eCPajHKrrlXj68FPWdvKLwnrx7gCK9gU3rPe0vwT1s6TG6bHoLvpde4L0NdWk9rPwAvXVdQby7iq89UTEEPSHMwj1Xtog92cEUPK6cU74HrU89xU7jPALzDjrIHGO8VC+ZPfX1eD1gkFk9KIxGPVKm3rvybJ29DXCmPZ/x1zwKPfe7dUS8vW+bGz0ulFU9JFzLPaBjUD2fGsW9cxfHvaBt073b99+9yC3Qu5jG2LxfjpW9jzuGvFi6MD3wFYk9Gl0JvgHtxb3iEjE9LG/+vVJEJr3eXvm9yOjcvQzo5TmsPtM7wm/APY9q6L1quM
Yu9h+q6vNOO6b2b1ZS9xTMyvjQ1Pb4Keiq9tTyhu+8iprxqEQm+JF6GPSBBN73qX4i9wTDYvZ7Wob0yOy2+pBFivZtkA74H8GI8LscKvmgRqDyjPpi8jt0QvjyjAb7WQ8m9dcdyvj9a1L3wV/S9YCx5PW8E0b2KSqE9z78Hvf/by70SWEO+j9njvSxVUL55+BG+BuGQPFV4RD2esrY9b4+bPFEkDb6GJcE9Q1QAvoGbhDxX91A9n/0AvZDTgL2SEsg92WA9PNqU0T0byFa9Un/zu2Mg272b1V49Duk+vZBh/L12Wae9X/i5PeiEETvcZts9Pc1AvVvo2jws9hi+sNO7uigM+L0uLfW9w2rYPMMxXj2IEVE91Qn+uxSdMb7zXFA8L/j4vU2qmjzELwM8FEyBPGK1azxJIUQ9WysUPWeFTLws2D292WSdvcbL5L1+huQ8HGGKPSMNJb0/b2S9sYfOPfVhNTzmejg9O94KvZ0SnzzCS1C92+gPu3UURb3h0/q9EOXEPM
YIERzttGhS9DBDivWPGVb7CHDI9Md0LvsFq+zwhN7c9Z8OsvHbJnbyGpfc9/dqePAzrcr2YqM29btpsvdRPi71tMJs9PqYfPaAjz7x/oB4989SKPK3GND1Jra28HKBRvY2vDz31U6O9fJksPW3svbou/9u9vFkFPbRDfbv4Wja9JGpGvQqqJr49R7o8Loocvgkia73+pgm9UHqMvJG52bwR8HW8OGiEvWsyyLzLDzm9koWIvW6Y070UGQq9cjcevUkXpb0AV4u9q6ycPcvE3Lz8AxY9hSSXvRS8Z70jfyq+bYkFvbCnDr483E++y/C/vCrYX717k3e9ZddEPZxzBzydU9a90fplPZyGmL1KSck8Dsu/PH9wBr4jjFQ7JQ3TvV5pFD7Y4QE+NYrMvXa0ST2K1rG98A/yPKmODzzhdga9crSGPEwq7jtx+QI+RiVEPQabAL4nDzi9FmOqvOhUA774Gu69HyXHPX3jZDxjv5I9FOQDPpswjL1PFO49LjdJPIoEvD3hsM
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
mDesbzpe3i9cYYlvrIa3DzGdea9bxl3vdGzJLwGpJE9w+OvPQyjo71Eg1s90uWkvWd+Qb2Iz+U89DYsPbNHgLxneKe8t0S8u06/Qr0+6NW84QGOvDoEXL0bocu9rSk7vSRQKj1qryU9/cGrvLwUybwGxK889fGWuw8eyr2EChs9iNhPvV+SUb2MWDK9o/sJu4x4qrsKTp27UDB+PS7hG7vOdA69rWRlvfIcDb2nK1c82YB7PdPPPz1Wa2A7oH0DvgAMhLyfrRg+8OOxPdQJAz2RZFw9Dj/aPQzAkzyVcfs8d1kLPYxjuL1Sk2Y9XhmYPIfKvT0V3kC94ChsPasVPzx784w9b1UUPPJp8LyucKi9JnOMPd13ajuFhJ89hcpNveYj/rwCYo49jJi/PQVrCT1iGmY8qA5JPHGZv7xFlQg+lPmrvadAmDvfFrA9jhlQvPzl4boPnnU9IawEvMGShD0D5xk7RyZdPSJI2b0rpsk9WXMsvUs6RL0Khva8PXypPTDGObxS1M
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
Xu9/4stPdCZk7t0mw2+6Q9xPU2jtbxHf5m9YXodPSQsmzyxUKa9ySkQParP37xip3c8JIEWvcj4T70JX369MkGSPXu5Mz06bHI9YjmJvOmJaz3hMFs9pJiyvcN6hzl3oRA9CeDqvWtRdruUQKK9GwjFPQ04w7wQ68U8w3D8Pbd1Wj1K2X29CeF2PQHk+LxR33K9Iuluu1PgSj0/yPU84pQbPerEGb0gIeg8R3qqvWGmgT0oGlw9wwsVOwpJbDxth9E8vJnUPAIuJTzygZK9zCKXPHb0u71gkFo9Iv4TPblpib1NNFy9pKlKPb/VVbxZIKs9Cs/NPLOMTD0F5cK9HollPeS4pD2P3pi9G/7qPAk+Rj1hZg88k+PkvaOnjr1yVMk8ReZRPXz0KbxSo9c9N57WPaa1ID2IncY9AQYYPa1IUb00QW28b7SNPTIrWLvtAl49BY3LPZXvzDxjwQA9UG9+PZjxGz1Ta7S9ukLWPYUUFDxsoMQ87G9DuwZTJD37zn09fyJfvM
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
No4hD1yH2m9b85TvYuSOjy9WdS8aC+cvSDNZb0pB1e8ae4TPehy7by3EZU9uJWDvUe6AL0PWPc9YRLJvYpSKzz7QgQ994/6PF3ceL3Lxle8ZF+OPczYkDv1MCQ9IxWfvavQlbx4C7A8B+/XO8W6rrxG7709LyMQPMnJNj10aHS9JA5ZvbKJPz2Xv3S9iyihvKyOAb0u3CY9dOCHPVsOp71X+Jo9QXJDPPKr97tP+AQ9lLGovR/n6Lycrj08+fF1Pfs2Jrzce8u9PYBjPOygmDw6WfC90zPhvc/n2Lxd5+W8nuPLvMby0j1ncIk9RUvTvN4xiz32Thm9l8J5vZnXXj2qbLi9+r6YvWfj6rwELdI9I3ekPchVzb1AXRc9cA0DvIlh/L0cJuk7sWysvZ6XdDvsoZi9bAiuPe7MU72DVMe9lysgPcD/lzqMTCO+knOfvNt7Ab0dvWW92Lxhvc1gET2cMKw9DxlSvIc7+7w/+569B14tvgSaDr039Qe8Q9wrvacGX7pLpM
hM9hf/HPFtBe71jtxM9ha2aO2Cuub2C/Z88JWe2u8qkZz1airg8y1m6vbEhdr3cx888j1/3PItYjbwcvZq8VaRevDORTzzVZYg7iB9BPP6XIr3M9mi8Q5qQPbsLgL2DN5G8vBeDPFEk2rywLqa8O+yzOqJBsTxo47u9t7jtPOpwKD2ypOS7cmqfPCtFyLt3p0C96eMAPbr91bwjkBa9RNCsvW7czb0LQhE+ERE6vJEBdz0n3to9zr0/PcRe77zOjcQ7hbAePCqgDb3ErZk9kKdyPT3gLb2Rv2G8khtkPXicgTwchdK8MfWyPRYnt7y+p4C9egmEPTF0Cj2fcqe87dJZPCAWCTwFu328c5mPPYShx7p82CM9JGWMu3NnH77YA/M9JLoQvmItuD0+2u89jTYEvZ33TLzt5Yg8Xd2jPefF2D1N4mm9lBkJPX0nLb7UWYs9jnIjPSTYsL3s7TE8WPD+PcKWTjvnB7g9Jlj5OpkyoT324N+9OfScPQ4rR7tZRwG+KuLLOM
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
CMSBr1T6Lm8hz8Xvk8OnL12orQ9+l6IPRbNCjxyiZg9FYwovSJxXTxwfx49PJcDPFuAB77cvmY9HukGPYijgT2/8F08DboYvBKjLj1jds07PaSMPQ6d1rzwJQS+u32vPZIMoDzccK09y3uiO4G8Nr3fIC48Y++lOaJbqTxAZHO84r01PRtgAb4Zl/U9WpWEvT7Hsz3DBWs9SUQ6Oz4Dmz16+g89yHW5u1MlRD2SenC8ANm0PRIsDL59XVY9stWMPW6pZrwGxus6UFauPRMxZz0TC449s8cbvPGSDbscmq69fxJxPOKl2Dskade9bPGIPaMR2DxtmjC9Vn3vPe9YwL12hjg92HrbvV9YxT02Bag9zcMfvK1m77zyA148Opt4u9SPWz5Lhly9RCRDPa3gpb0/+as9w2aSPfhAqLxWzFw8FyD9PW+iXT13rx8+8i5BPUi1tD3cv/u9UVD2PQmp2DtaD9u9n6q1vKks7bwXZqM76dlePN3WrL2oIgK9/nZhvcnrI71AbM
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
eGPwz0bG128MHrWuR2ZDD5C2Xw7sZHtvPACMj0E1Ls9o+HwPTsGsr3Up+w8Ha2svelY8b0xOA076sGWPPKphT3ONge9edxxvHhUMb23DcK9g1x0O6x9fjwNBxM9GbCPPTGBmLy3usq8SKlzvFaXxz1Pmoo9+7jIvYC0Bz4xy0M9Xmp3PRUpET62EMc8wc+5vCT3+TqRp+w9MWLxPWJQAr6hjzw8unyEu3CTnr2UrT29gvQCPaDQID35lsc8nc35PAVeIL3ggs+84nUWvUUEgTzLhIE9Y5OjPMMY9zx00pC8Wtlfu/61rD2Tjqw9iICAu85hIj3Y92Q8gLK/PQmYnjyboL28pMzNPGxswjwmIug9ZWuZPdDnoL2epYg8RU4LPct80b3z3ey9WKMWPP3JPjzOSLc97tjivRxHEL5fYge9G83ivaZ7CD2SztY9RvWsvL9/FLtZoIU9OGnEPCBeujwxTG68+NYmvbWu0ryjTLq7FtfIPb1jjbwtkSY8bDNRPf6PlT3AHM
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
4A9YutFPY+o5rlTjei9vW/cuxBt/7xn68+9kdRHvUGm+TzGCCy8VSU1PjyMAL64ac+8AkbnvZ9u+72cCba91m9zPbhwnL1YOj29pAp0vbYtdT7jYvg7Xo7CvRruALzY5/m7773GvSeFNLxXPFu9PxYRPADTGz1GuDA936EcPbSD7rxKMLK9iL4nvaO6CLy7lQe+XHoXvLNNgD0bTE+9B6IHPgBJ070gYg+9+of3vR5U7r1wSi2+0rmkPXm5+rw4WFa4HWI1vX/lRD6n8ay8Ny3JvaH1k738TVm9N/MevrUMWj37lqA8HIVrPQT+Pjz67bs9LaZJPUTcSz0Mz/i9GP70PPV9k73qxYK9wUeqvKmYkj0TzGe8UN7NPRFNhzuoXCe9fDOzPHZ0o71cU6a94Km+PcwMjL3f7yM9tJSruwwSYD5RQhA9k2cPvXmlbL2Ok6y8DcptvXcsJT37lZ08nOa3PSaQgjxIJP89Cu4OPmVbNDwE18G9aIX6vHaDF72+aHG9+W9iPM
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
hc8vaN0PXmUE7096Nq9X1UTvJkOgjysW/+9j0hXPRiy1z1S1IE9xdCNPb18k72UnMI9UzSgva/7C72TYj48egqNPEQ5Tz3+YOA8/jWbPHnMpD0Pl1+9dp8oPcLOMrxDqkg9zNSKPSKHHb0Ytve8JKQdPW3v4bu63Z68tWievPhQeD3/iXu914iKPcPwkT3hPau9yXGcPEP3pD3r9rU8/rq1PV9Irr13uEo96htsvSJy4DsN2Jm8xkzQuqkjm7xKbYE9vg+FuzNREz4z8DG8TqPuO7QkD7s7q0I9jSR+vbugib2XQPu7V9N2PSheSz3IW7Y9lTYdPQtRGr1+4M29umGqPJHPHb2D9rK99AV3PXLC6j1AHzI8Vr9rPQZ8I73yG2s8whCnvcIV57lZPUa9HcOSPEqigD2vVTY9MkuGPUy+xz0xzFO9WbL6PN/jSb3sens9P8uhPDV7aL1MQGm8wlP1PZ4OTT3hOlg9Sp8PPWVYhT18Sca9Sj9nOhUmJTzFjC2+tvxAPM
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
LIcz7xiVZQ7KgE7PYyL5zxdg4S9It5iOnI1ALuolcc9YvNNPLeR+rz0eoE9TDi/ukVI0bvQN4M9TDC+vSiHrr3uqNi9kHjhPZ+sqb2mpIK9m4+YPZcEbL16EQ6+dNLZvZlSzjw+OIG9tY7SvdG6mj1PCSw9DRqVPAR0QL3ypye990i/vXLAoLvS2NO9eaGHvYOusr1NT/89pn6YPXvQgL1x96E9TTS4vZZlgb0RMbE9K2UNvnlB9b0Vo2e9Hwk8vElop71Gzie9Isp7OYAKFb2wK++9GgACvHYN7zuBPoS9fN7yuwGiOb30ACa8VeJ2vKxfBr6zjh29spWTvPEpOjs6jKS8T81cvepyrbyWqNG8YQOpvFc2k715Cis8QZE/vSjJoL16QLY9ssMUvaD7tL27r3G9qxPtvcxNebxThI+9DRzJuvuhAr7R7qS9ezk4Pd6acD1E/Ea9e943PCLHML5VT4M7nDAKOpf+Ir3Seoq9zi5tvdg2HzxxDWS7OZkDvD9tW700CM
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
5G93BFau45btzyaJWM9iQ6kO20wJb6ySAE9EeY9PfCBYb0Ysys9TPdrvQQsND2Y3wK9gFRSPSxuBr0+3Mq9FMnMPTJvjzy7c9q8afcpva9FpjuIS3Q9ZPMWPb8TgzzWilu9C+rUvVJCkL1Tj069i87VPCy2jbySO4S9wzvFvFI+wryBEaQ8XxhWPd5oJ75f1BI98EctPZLL67vVGDS9U2GcvC8Cdbz+SOc7QXExvROjFL0bCrq9V4OCPONbaLzktZm9DBJEvN4Ghr3Hd9881PQ0vUf3rbyxg+i99cEevRpSBjxyDNa9sS0bPVI0172AsKa9PXnOO0BSiLzgAkA9vztBvMubTb3vgnI97XkDPbLqybzK1aO9eFeevel5LDz6e4+91eYgvb15qr04rLO8v8kYPfSMfr3R7xI8JeLPvALY9L1HV8a8DbAmvSFveb1ppLW8eUK3Pf/OgL05Nty9rYc/va4Qk723GMG9VowPu44vM72ZRgS8tFwyvcXJUD2FtJe8yN1evM
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
+A8Rf8MPWwcwT2MytE9OFn7PK3hi7xAM7M9ygb0uucClTvp4Aq9PbmWvTbPqL0X24S7eZ82PaTTCjoD8qY79Jq3vXA9qz0cQXg8aQ81PUusKL3keiI7pyB/PQmAzD0OFLE8wnOvPfK65zyjbB69Kj34PHwuaL1HcOC81G6avPKdmD3PMqw9W2UCvU3Jnz2X0L49p1UzvMs0B70Y2tO8ePNmvcLSebx7qDy8iHvaPU1SXD0j6OM82yIXvYyYXj1jIs+6IUeBPbYzFDw5AI48w/lRPNh9mD3VA7E8syGOujsNGbzSrqW7W6NdvKrMjrritOu8QbdVPFivBrvL9Pw9dmNEPepbpzz7OAE+etHyvc6bAz3gvAc81LKvPRzWsr0bWI68mq/OPRVgUD29eEE9zOKXvTCYWT2GvIg8vLxvPe/e1Txj1LY93VxLPYgugz0uZvk8iDFqPZlwNz17ScK91WrdPDijY7zKe+g8VnaBPREPLz3fP/E9JicevPVhgT1yQ7Q9oOuwvM
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
4K9BJyQvQC0hLw0Q1+8VKYYvSKg0b3ut5w9/eiDvW24Wz16bYS9ZMr3u3Yqsbx8WrW82p7evBotzby8VgW8drADvUAvvbyrXk89ECyvvcIh+LwyQjc9FT/xOlqFvbyfI4q9QfMnPEn4yL2pW5q9buHNPRjaeb1kDYy9MhokvKbKuTziGbK94HU5vabX+ry5xXc9kaWwvbfjmz3yrJu9sUNZvQdGhT0BrOc8ScPNvbC0cb10WVO9ztpuvDDW9Lxi2sQ9paqevXQuGb184YI9v+AhvIf827t8Tle8QT+xvfEAyb1+AEO9bF99PcfMCr1h6SI9XRRSvYKNgzzXeAI9RL6BPN75rb1plGY9xn87PLzhfz3bnZk7upJJvXVwq7w/w8q8dJo4vIj/FToJf+O8YsAuPbZ9AD3CElQ8D+3AvQARtbzPai09sZCgPAjRcT3HAis9+4nBvfg2g71RDFg9GtWdPQUusbxAWJs9gP2svUs6uD0cMZS8fvjXuwubtL04Y3+7YvdFPM
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
BG+gAfpvATEKDxYUag9Hgo4vZBIjz3QuGQ9EroCvUKDXz1Gy2s9/0OHvbRqTL2G8IG7Y1CfPcbaD72/sBm9DYU3veOZYru7qGO7SqnFO27E1r0Xcb88ZxwXPXfZEDukGGu9fPLNvCnLj7zw6oy9w3SMPE1MPDzWD0S7IO+Dvc0Wnjyt/9U8Qcs0vOs2Fr0BL7Q9rQmovZrqSr07wN28b5oPPd5rCry08gQ9vYl+PYpPBL3jnXW8QbfkvBPhWD15O6S8iQuOvdYZFb3N1aM9lQ6vvZFmMz06I5G9WpCyvabwqLx9akO8FrqGvWa9Bjx4Fd+7wiIMPe1/rr2vyzc99e4TvTrjq70RzoI9L1nQvWm0DL2EtWa9x5IxPVvTfzy/Uly9mIGNPRY6Kb0B5sK939FVvVAIV7qOf2u9WUtBvAlOCj0GM4M9O1fzvQtSqjzBHJu9gD94vUh0JzrZSNu83qDUvfu52rwvTYo85kVnPA81Ar2T7gg+xicDu3iUN70o4rY9B21DvM
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
Hq9rtIhvUNFqz2np/M9ojoDPeFE+j3ahOA9Ga4XPNGMYjyRscC7aHexvbHGub1rYdY971ocPdAQVjweg809odaivYQRlj2AvYa2ne0WPQiZCr5dTWo8jJ8tPSjm9z0RuGk8GKcJPoIrSz1uiOg8ZyNdvZ0eoL3ovhu9Nlk2PfLuvj1FHUA+TXWKPHDN7T3yq/s93BXMvEX9hT3d8g87xVzivStrPb2CW8M9vGLSPboueTuFNLo9WmcQvlC04D3u6hI8Cd3bPXGlAr41VCg9ArYnvRQRTj0BBl483V12PQ6ZDD2/5Qa96tklvKlf2TsP6RS9gmMrvZFryz3sJ9E90HbgPILrhT2JcLw9NZOdPL6PWz2Od5o87JfmvdFUCr4dWIk9M6KfPHz5uDzMuws+PkGqvcKQwz38ifI8DyffPd9RE74/TAU9GQK6vFmqLD0iGs89S2HkPU6l4TsxEac839fWPC14FT1AxjS9PKOavGO3kTrqfs89TZzvPeJvTj3LZ/89A9TsPM
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
miWpzuIZ7O9XN82u1WEP7wm2567kU4DveboP73NYQE9SDqWOiJZpDuGMLo98KllvWKSLr3xzcE984dWu5UmST39UQe9YKq1vRDloL028Xw7KbM/PcQVFb3Arw07NVMEvn1RzjwD0Z+8trfOvGFxAL7YXc88Jzt4PTbZ8TxvJFm7jmhzvO+EFz26zcS8AmhmPAAVir2gyQG8H+u6PK/KTz3fcwc9jZ4zvIQJnrtMM+89x93tOsHNBz193dU894kGvg5yEr69waw9hvukPCUllD0BDr49UtbzvSzt9Tx5xNQ6fdZcPZb/P76ob5s8Sxx/Pes5Eb3rQLM8Fc+/PG7vurxgdIk9OEemu52OR72epaa9D3NMvec4OzwABbg9ffQHvWPzrT01DvE9bIwiPanlIrnzQJe8BX7qvR6hGr6zuZM9IqV2vYt8ULyIsao8iFmLvanRNT1iy109y9G0O+KJLr6W9VW9ChaePWdDAL7QvI66rPvaPJF9wL3xe0S9JybLvOMTRrt8sM
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
j4iRz+mR+m8HTbKvSRm/724q8W9lyjDvYIrND9Dp7g+rrqUvmuuy75c76Y+6u81P5z0kb6cdhi/uLdtPsgOFj6CUn+780XCPrXCHz7gJ7a+olXQvKNY/L2Ncm8/jjJrPnIcUz8Td/W9+PgHvcFbXz6lEH2+3+v0Pjuf0T6Io8M+sn2yPtx1FryFFw8/V+JJPna9KL4PNAM+69XQPp+B+70FVIO+E5mKPmSVGD+ZwBs/fkqIvqGOij5g/dO+UEdDvqCJl75jSwk/clwKPwUTeb65i6Y+iv4uPRp01T7DrhK/XvrqPmMiMD/0d+A+63aFPeupuD4gf0c9L9WIPBOz2b6/7/i+UABfvnB/CT6lYry+r/V0vh3eHT5/ygo/jvcLPXaivzvzwtG9Y+mWvgo0G73Dewy92u5AvfMKLT+AtZQ9Y6MIPkQ7iz37Wyi+aaS0vjxrIj+Yz2M965YQP1BuGr3seJw+b+q8vmQ8qr63cyY/k/1rPu+Awj5/A6S9cvAcP8EwiT5YxM
4I+nB25PlTRFz/DeDY+OIqSvpP6vD6WZSE/PleRPshFT71/wpo+4bLMPZ3Nfr4BncE+lEUzPzVSjr6MLyi/n/HDvm4o9r7f2MG+gbsrvxZKx770gNY9wiz6vdbJQb9ssy8/QJAnPN1GtT4npqC+UuprvsfURz5FMmG8PVGlvdST0755n2Q+KxQrPp+fEj+3cjU/IfuoPj+VxT2HnOi7+7vOvthnl77c9YY/M7UjvqWDGb95s929kGCvPscN0D4gTmk+4L2jPp4x5T5YnjM/Hrizvm0qMz4YvQE/eNXxPoAei78sXVO9AB+FPqG6NL9OeG+/QWLDPgaWJb9ZMlu/zObiPzu0/T3e7Cq/Mb7sPjAj1z6HVL09XObUPnvbFj7PXKu/R+Zzv3q6xb56PiQ+Bt5yPw==", "training_traits": {"structure_gen": "Triangle", "n_layers": 4, "max_nodes": 10, "activation_func": "ReLU"M
, "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.lifeCycle))[0][2M
];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,50,y,0,1)):n<w?(M
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{totalNeurons:this.M
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(){return 1==Oe?1*thM
is.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{constructor(e,t,n,r,M
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.strokeStyle=c,e.drawingCoM
ntext.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.length-1]),this.linM
es=[];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{xLeft:t,yTop:n,xRighM
t: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;r<a;++r)i[r].draM
w(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(102.499,199.2,100.899,222.5,92.799,243.2),e.beM
zierVertex(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(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVeM
rtex(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(0,0,500,500),e.beginShaM
pe(),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(66.4,376.3,65.3,373.7M
,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.bezierVertex(154.2M
,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(438.5,125.8,455.1,157.3,449,188.7),e.bezierVerteM
x(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),e.bezierVertex(25M
2.5,458.4,251.4,457.1,250.3,455.6),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(46.8,164.8,53.5,143.7,71M
.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(316.9,12.6,338.1,2M
3.5,358.1,37.1),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),e.endM
Shape(),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(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVerM
tex(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(71.9,201.299,72.7,198.1,70.8,192.399),e.beM
zierVertex(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(183.1,162,178.299,148.2,168.399,136.1),e.bezierM
Vertex(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(195.1,80.599,196,76.99,194,72.7M
99),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(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.M
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(243.2,148.399,243.2,151.599,243.2,154.499),e.M
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(297.7,358.1,298.3,35M
7.8,299,357.6),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(256.9,334.8,256.9,316,M
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(265.1,149,264.4,149.3,263.5,M
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(317.4,79.7,317.8,79,318.1,78.4),e.beziM
erVertex(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(330.6,175.7,330.7,M
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(400,292.4,398.9,292.5,397.9,292.6),eM
.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.bezierVertex(414.3,M
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(149.6,247.299,150.1,246.399,150.3,245.M
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.bezierVertex(121M
.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(158.3,265.9,139.9,279.7,120.2,279.9M
),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(122.99,360.2,125.799,357.3,129.599,M
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(209.499,301.5,208.199,303.9,203.299,3M
04.7),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(346.3,280.6,332.9,272.8,32M
3.5,257),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.bezierVertex(374.5,17M
7,374.5,176.1,374.7,175.4),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(338.199,258,346.799,26M
4.9,358.699,267.3),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(350.7,374.2,352,373.5,353.4,372.8),M
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),e.bezierVertex(37M
1.099,358.4,371.299,359.4,371.499,360.499),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.bezierVertex(330.M
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}function O(e){returnM
 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&&11!=n?e+"st":2==t&M
&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.n;++e)for(let r=M
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[e][i],t.mat[e%t.nM
][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}forward(e){return HM
.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!=this.currentIteM
ration){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=Array(this.totalNeM
urons[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":return H.tanh;caM
se"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 G(s,o[0],e[0]),uM
=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.height=this.elt.offsetM
Height}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.elt.style.display="M
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._pInst.scale(thisM
._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.levels[0]+","+t.levelM
s[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>0?(this.elt.valueM
=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._events[e]=null}}funM
ction 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");return r.setAttrM
ibute("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 r&&r(e)})),e},creM
ateInput=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,t){this.file=e,thM
is._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\//.test(e.type)||"applM
ication/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="542";let ae,le,se,he,cM
e,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,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windoM
wWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$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.training_traits),Cr(Wt)M
}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","#2E2E2E"],["#45daaa"M
,"#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","#d5c2ac","#df6338","M
#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("#inputUpload"),gn.adM
dEventListener("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}function Cn(){null!=se&&M
(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,ct,$e),ie($e)),unM
>=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===yr()&&("i"!==key&&M
"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.style("font-size"M
,"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("Trebuchet MS"),JM
e.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):2==Ft?(Nt=15,fe=M
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.visual.nodeShape))M
+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(...Se.slice(0,-1)),0M
==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,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])}}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=M
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 $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){leM
t t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=UtM
.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$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.length)).reduce(((eM
,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=[];for(let n=0;n<CM
e[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++){for(let e=0;M
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,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.M
background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$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/2,ae/8,height),WeM
.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.background(255),Je.rectModM
e(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]=Hn(e,i);for(let a=M
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(Fe),fr([a],s),3==dM
t&&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("Trebuchet MS"),Ue.textAM
lign(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 belongs to",width/2-M
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('"PERPENDICULAR INHABITATIOM
N"'),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,height/2+70*le,8M
0*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.`),i=2==Pe?"The PercM
eptron 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/2+305*le,"CLOSE")M
}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.textWidth(" "+a[e]),s<=M
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.textWidth(" "+o[e]))<=t/lM
e?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.noStroke(),qe.fiM
ll(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:","1:"+Te],["NUMBERM
 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][0],r,a),qe.textM
Style(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.textStyle(ITALIC),KeM
.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.text("GROWING",widthM
/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 e=i[i.length-1];M
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){let n=color(e),rM
=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)}function mr(e,t){resizeCM
anvas(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){i=`Hey ${String.M
fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looksM
 and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and M
my intelligence is decreasing over time.")}else 4==e?i=`${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())},save4KCanvasAtCurrentTime=()M
=>{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],["Squared",40]],Mr=[["M
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
 Vu",3],["Lucid Dream",3],M
["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:e.visual.nodeFilM
l,"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":"7b6048cc3b3faL
222","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_277", "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": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 6, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "yX4jvbt3cbv/soe9NpQAvaZmmLxOgTY9CjdCvff5d700rva9dx9VPYu5uzyATxK6LSGsvThZAbwWKQy+oFYRPdAy2T0jY/E9XoaSvMwahj3wMUm9VsKxPIfcQL2dxeY8JxRFvIp3C70J3MG9ClgWM
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
U8s9n6kjvYAlMrxO89s9EPkwPe4rKj6uOGA9WIT8vVl5KL3SXwM+f3WDvdXrED5ZoYC8F+0FvdFdh7zeXfA9kSkvPevPTj6Dj8o9mYk9vr2pBb1oZAQ+HGauPW5Tqz2ouBs9rHVxPCHypT2Jp+Y9R3b8OoU1q724sII6F/8YPGFREb5OA16+cFCQPcXQuzxItjc94gWiO8YgEbo9KZu9MbAJPsgbmb1wv8W9q44OPvNSeT0EAwi+x1EcPp+NjLzUsbG8Zhdou3Vo6r2SMhW+opzBPct1v709/xy8gOyvvJJHFz36iqG9mPgdPkl3pL3kdCm+s3kvPr+9sz0eAz6+WXLwPL0U8r0kmvq8CXF9vfTXob1ketK9QWbMPZwbpr2+v1Y8F/r+vPqetbuenKK8SJWGPbUJIb60uvq9UBn1PQ8bzbxDegu+IiYzvpd1Kr4KGmo+wN82voYESb60RPm9815+vYiB7rwTRUQ+mRlWvtDECL61Joq946gxPVmmKryB82M96OC0M
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
Ptl1B720aCm+bLQiPlIXxr02sBe9s1c/Pjt6xj27RZO9ljsovXCU7D0T+9U+YO2Jvk4a5L2Xxri9Qdm4veUWLj5oiMo++g4kvkusD77zZW69qm7ovBbAPT2E7lw+Jt4evRPw0b2yQDy+5MlGvbwSm70Ri668zvFhPDhDKj2BOh+9e/CRvRdXLb2EwCC+GvicPILNrz0jvc+9mR0yvbfmxLzwoQG+xJAJvUt1gTwaZsW9gPEdvYLyF7yzC4U9wbwavb1Cub0ouY+8JioNveh/+j2Zwbg9Kq7bvZOk2rzljzs9MHThvX5TXzxNULE9hxuZvX8IpzzDGMU8aH2xPebkmT16X4g9mKHDPPOJub10WVe+/fsPPuU8Xz2YHg09BqqXPXWvorzOgPS99X9dPWfcbTurgy49fAcBPhL7HL11lwy+11Qgvc9AwTyzhqA92+XUu+DYh71I2hu+dGFWvPmxD70wJIC82UByPPzUtr3xUtm9y13SPDDJnbxnpbK94oauPHD7b7x4M
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
PTWRFT7FUiQ+2IQxvaz+zb2fGwq+Qb3iPbg/Jj407Qs+24/WvTAxZDykcEy8Q7omPUC4QD6fHJY9WiuKvdL40bs/CFY9Ee+YPWuxmb3Jrqk831bzPCxZMb3nQZS9ABynvI6zPL5UVEa86qCoO0Lnxr1ZP+o890cLvskG/L0xnYC9T9UivcaKt70bQ348gRsnvUSTjb5L8348a8fLvUwIWT7FkxW9GuopvVFse77Ku8W98SgPvTJtlT5DdoI9LO0xvbnp3bzUv6K9f/levTs7aD5zWbk9m9FsunmxLD1J14Y+yLD8vYYl6b2xkyq+ewCnPa4dXD3AtBY+WeHCu1VUTLyc4Ii9u3zdvFiXuT163vo9GaVavSubCL5G6l69iWyMOgB/sDrtq4m+pP6MPYFe3D3jMVs+qXydPc15bL2S9KO+u4ATPrJVHz6gsjs+4ZTvvTbWFb5+Yoa+hfUOPkkBoLzvnHC800SYPk23GT5yHLO9BL6NPdtPeT4MT4s+7rlePtfRAz7/M
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
4By9Ir8WvcbJu7zwrjE9uG/PvUz24LvGcyO9IEWpvcCn1D39Vt49ykViva1aGrv/Mfy9ROKCPU6QED1mQse7lbaMPcxGQj4CDPI9xiJpvWSJIrxiqQW9oJSePSPJiD525ys+3AMJvhrtpT2c+j09TA/zPWfiIz4/qsU94tQUvgzszz137ws+1E02PVAjT73Jgb48n1NpPVNM6738nDK9gcEePV7sUb2SZb28+0t9PQ/uDL7NjBM9TfmBvSZChb21+J69iM7KOW0jBL7c7So9OCDZvfX1uL6RkrG9aR6SvNaNZD4PZ1M9PikAvgX5r76ckUS+voHYPBW0Xz1FSai7wfj8vKXVSL7hRyq+ZN0FvbDvlz1mwak9HbRfPH5kCT2WLZM+Q9xOvlOq3DoJUwW+NYyEPVmTqDpN+h8+6Dmgu7NOGDzfZCS+EtMOPo+sSz3tlMg9dI6PvSX2P71zLK69GdUXvfHlsLxqeYu9RN00PeR2Cr6ZhQe+Dv6uPR79oL03zgW+M6Q6M
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
kf86w6zMvVZfGD5U83U+JLX4vR9W9b3YBNm9d7fyvRhifTdfVww+w5kTvmA3gTzAd489DU3auykHML3EdJs9khUXvlsFjT2SCv49/dZnvnlR7L3o/gI+KmPYvaZJi76lvUi+MmVLvrffBb4L2Zs85a8YPJ9JLr4i22a+qmpbvZmP/70jxI08ADv/O4GPnr0e5yG+1/33PI7VHL7sTzi9LuoFPuaF1r3awjS+lpt/PTdA+71ZMNy9vyScPf8+hb2v+ZO+KJ1zPCbTHL0tI2e9JiwGPljE7r0+U2e++Y5GOtl/gTu0mN66dhgbvIY557zYAJ29jubSPR2/Cj0Ur6a8fs4ovJj0tj1JGgM82WZ6PZ1C1j3rjX48vOaFPH2ZODza3cO7uXyRPZR9Cz7zN+Y9gO7KvbmpTDvaYTo9X64KPoyyAj68noc9K+CSvfiaID7Z6Jc9Dt3oPSsclD3BwKc6FHY9PWGlQD7/2wM9CVwevFkgmj3bcMQ8e6XAPAhVkTtOlya9DUIsM
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
PUG+6bw+nqK9yLeCPB6OVT3LTFs5Xj+aPbbm9LyEtba8IkffPAnqtD3d6DW8moNJPfr7BD3BcZS8DCE0PRfP5D3aIVi9UnPrPaTKm70wiKe9IKb4PV8yKz7ZGps87r4ePjwBN7yYJu68EuvqPVjm8j2fG1y9/wx9PbBdCL1ohji6G0WePXzy6jwMtSm9vhN5vWB5Ab7AZ+y9+yJaPdmDBb34tom9ZE2sO0l8SL1xmdq9wJgUPuUK2Lqstxa+BGt1PCmGYr1KWk29PgbhPTKsT7328IC+5CYnvrV2gL2VrMK8p7H9PHIFDL7t0WK+SB9VvQxJ67tDMZW9QkybPcQRn73jxiG+0mamPWXRnb0Zq5a94anzPcO5h71w9Ya+Wmf5vbNbIj46Vh4+UnAEOieuL76Hh1m+LepovbrhVz1d9RG7qthKva/1Or1wW2q9EBKTOkooCDwDIfq8XyCXPRhvi71F3N+9RWB5vDJZMz4qMuU9GMWYvRu7HT0k8vY8k8JMPBQ9az6pM
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
DsQ8rlwMvtavdj0PfrY8VwDdvf5WJr06XZs9CsKVvZ0Ysj0HXkK9J4BVvkbmL76+Bz+8DXWcO8o5Db4UZKC9o1p6voVu/r1o2rM8SNDxvdgdgL38Lcq98vqzvSJrtb0DE3k8pFJKvS818zugkBC+QJwEvrtE1b3WtSq7rHGxO5tVNb5W1yG+jqGuvdSm2b1jZ848op1TPQuUCL5DBW2+s6+kPBf/Er0bCd09Tim3PQU5Kr4V6X2+lftXPQW2jr1w07u9KHu7PWlUgb1QOxq+J9kNPaSELL2wxhC8wD+vPdRVvb2xJ2G+LViTPB/w8jvBpQM9Xjj2PYHBVb7WJ5a+UpvuPKL8nL1fzce9SFKbO7Uh/rx6Ep688juMPM+U2rzUSg+930p6Pazgq7w/6Pe9vGNVvLZe4rzySTq8zK6gPSf68r3H7hS+Ml+qPSWGTzxxn3E9QXLCvXCfLT2/B9Y8UR7ZPT2qCjwVrq+75uZDvTG0vTwyrAc9Clhauy/Bdzu9R449y5/7M
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
POia072wgd29QzjuvQi3pLwROp890S8OvfiGd74VICa++06PvX98nz0VnU8+wqy8vY6sg77/z/i9BcACvnGoMD17XkU+aoG8vFweNL7oqki+45pkPDrGwLwqi5k8UqsdvfLzf70fTrC9ME3iu4uSJj0hhD89EoGOvfu/77wiKP28AN0dvIhAi7wgFWk9SpH3vJ1Ql703G1i9QYG3PZ3JULyzWo69StMOvX2/PT28/hg9ifiuPTPFtzxffvU8AcZ6vSs6Ej28BSU9Y7kXvVANbby3DB49TPsmPcsluzz9kKK99/S/PQB7ej0QkjO93PoAvMhkWD2yxew8DFv9PQqiSLw6D2k97rDTO3W2qT2Am/M8VOrCPJz9gL1/aco8dc2lPXP42Dw8Um29GAu6PZhNwjzFeoW9bMDFvAqBOz4ZEtI8dFMvPn7RILqvFM+8+/hfvScIJD4muGc9m9wDPp4S5TzaIWu7CVeSPfDAqT3utBI82nXvPRTZhD0z9Vm8OMSWvV8X5j2lM
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
FlM96pa1vSMerD07Wsk9qFvDPaYAxj3Lr9c7haIbvT4CYD0NBU49ACQUPG0/FD1XEcm8EcyQPb6CszyrMJu63RrDPcr6iDsud0u87Ow2vZ7Ukz3UhcY9M72NPW1U7jz8ats8xWxqPNciUj3pyE+7T2e7PWnrEDzThfo82WlyPS4R9TznTJK9dozrPH6ojD1TbjY9ghenvSozR70Wa1q9c0rBPeJ1AD671pE9qXnFvOplMDxHwT88Fr4qPT5GmjxvI9c9AY8RvR0oxL2MDpm928caO72n1z0LthE+4KfYvTXiC74V4Ku9THyuPCdXEj6HK1M+dk43va+W0L25HCu+yvjeu+xHmz0VCgs+fXhJvawdvL3rOxW+PhCWPfQduD2mlOU89z1cPBIlYL3kwhC9id3LPZPF1T2gAAw+uKKzvW5J/7zPPNi8LnkiPSLIHD7S0c89RSORvU+4U71V0t+9gkcSPjb1zD23YF69uuZhPedAlj1Ag489birfPXp+ej1nbkC5HVVoM
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
75Q/IH23P4eXCkAr7Zk/jxNJwOJ+B0CqEkDA9YYgQG4m2T+tYVq/ZD8EwMn7K8CShYE/FgIBwPgWiT4rWypAMzJIQMvV6b94B3E/7IIdQIXn/T+YtZm+s+Cyv/wdJcA5UdI/F08Rv0R4JMDQ+RPAV0d7P650PD/9Q6I/MElRv2/erD5h2bI+yO1bvrjvCT8w4a2/GbxUPv35AcCt93y+/hYdQCZlA8DSgR3ASzwaQM6rMb5EPRHAdRNJvi++JUDJJgzAXEHlv7G9F0DFGou/qU0QwHRbJ0DhI5O+/1NQv6JiVcDNfkC/WCW9P/nLDcDs/fs/v5oNPygN072wMC6/tGBYPQ==", "training_traits": {"structure_gen": "Rectangle", "n_layers": 3, "max_nodes": 6, "activation_func": "Sigmoid", "epoch_num": 9}, "classes_name": ["Cryptoadz", "CryptopunkM
s", "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*1e3,thiM
s.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,0,1)):M
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.getNeuronsLifM
e(),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.size/7:0}M
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,this.aM
ngV=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.globalAM
lpha=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-1])*(e=M
=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;(min(oM
.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(0,0,500,M
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(33.2,3M
31.7,24.5,337.5,26.599,364.1),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(449.7,146M
.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(433.7,384.1,433.3,M
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(33.5,350.4,25.3,313.2,41.8,282.4M
),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(202.7,9.1,213.1,7.2,M
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(469,21M
9.5,471.6,249.7,458.1,274.9),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(246.2,460.M
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(77.699,119.6,85.399,114.8,94,111.5)M
,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(364.3,41.3,370.5,45.5,376.9,4M
9.5),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(184.3,473.2)M
,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.bezierVertex(8M
9.8,304.9,96.5,305.499,102.7,305.9),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.bezierVertM
ex(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.bezierVeM
rtex(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(190.1,64.799,184.1,58.499,175.6,53.299),eM
.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(235.7,116.M
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(243.2,254.199,243.2,330M
,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(299.8,357.3,300.6,357.1,301.2,M
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(256.9,260.3,256.9,222.3,256.8,18M
5),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.bezierVerM
tex(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.bezierVertex(325.M
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(331.1,169.8,331.4,167.3,332,M
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.bezierVerM
tex(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(419.5,400.2,40M
3,427.6,375.6,436.9),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(150.6,244.299,150.5,243.299,150.5,242.7)M
,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(172.1,M
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.vertexM
(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(130.499,356.8,131.499,356.8,132.599,35M
6.7),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(202.199,304.9,200.99,305,199.799,305.2)M
,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(321.6,253.9,320.4,250.2,319.2,246.7)M
,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(375.3,171.8,377.9,M
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(360.199,267.6,361.599,267.M
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(354.099,372.4,354.7,372.1,355.299,371.7),e.veM
rtex(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.bezierVertex(37M
1.599,360.99,371.699,361.499,371.799,361.99),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.bezierVertex(M
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){let r=0M
;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{constructor(M
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}static lineaM
r=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_binary_op(e,M
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{constructor()M
{}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.totalNeuronM
s.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.min(n[M
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.linear}}M
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 W(e[0],M
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:this.elt.M
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{width:thM
is.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)this.elt.M
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===t){ifM
(-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?parseFloat(this.M
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");return nM
.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),r.addEM
ventListener("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!==argumM
ents[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],this.subtM
ype=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).readAsText(e)M
;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="278";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,CM
e,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,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,M
t),Xe=createGraphics(e,t),$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 PromisM
e.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"],["#111M
822","#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","#77c4d9"M
,"#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)&&cn==VM
e-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,loadM
Image(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=(ae/2M
+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"!==keyM
&&"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(widthM
/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),Je.sM
troke(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.inputDim,KM
t=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=_r.fiM
ndIndex((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;t<Ie[M
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++)if(M
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 e=0;eM
<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 $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[tM
,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rM
n=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$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;e<inpM
utNodes;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}for(leM
t 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.slice(M
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,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTM
ER,CENTER),Ue.textStyle(BOLD),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$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,ae/1M
6,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.textStyle(BOM
LD),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+1][aM
]),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,t,7*nM
/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.noStM
roke(),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 this imM
age 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(exampleM
);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("INTELLIGM
ENCE 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 decaM
y 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.textWM
idth('"'+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(a[e]M
);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++)a=a+"M
 "+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("PERCEPM
TRON 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 REBIM
RTHS:",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.textM
(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",width/M
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/2+5*lM
e):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){let n=eM
.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)}functM
ion 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,t,!0M
),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 deteM
ct ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. M
My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n}M
 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,t)),M
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",70]M
,["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 e=0;M
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,"Hardware AccM
eleration":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":"7b6048e5fcd9a1f6","version":"2023.3.0","b":1,"token":"6c07c178c94442f695eLL7a0a2aaee641a","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_122", "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": 7, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 7, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "BOQ2vet4SL3e6oWM
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
g4r3qCW47B+fHPNvjLDsnO7W6GnQ0vT6dZz1ajLk5o1rPvXA8CDwajUQ9nfamPdxonj0Uoh+9KDH3vDyU5byCeNe9VlZkuxnuiD30wAY9dieUPJratr0JC1K905G2PTkl3Dts8YM9ZLBYvfNwhD1YqPa8URWLvWU677wSx6A98dmoPQaJlz1+8oO9lB+6veDoZL3JcNa9S0xkPZfdr7zTM8w8B3OdPN4Lmr2Eoxq93WZ7PcWt4zxSFiq8vUfMvbiuuzxSqz+9CJqhvXRNa7zLCas9pxZkPUVHqD1ckFO9I0efvbW70b228SO9HGogvOXhjT1W4iM9V69nvAi6IryAzI29FvihPExvGT2MRmU9h6RfvY/S6D1aD4G8/0m4vaK5GTzcJ009TKy9PRTTnDzL5+S8bM6jvdnnjL2p5/u9ANK1Pf4wMD1y5CS8nP3BPPhZoLzHtim9P2gAvPov7TyBipE98sTWvLM1Vz3NEwC9px6avbuKWr3bcro9kRmKPf+ouT0d5FyM
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
ozzsVrJE8uoMBPF3eRL0GoxS9Kt5GvRAgGL1Qq6O8mQllPVa8Pr3KiQo823uMPPtrGT1heFs8+IvUvL63WzxD0qu8ZH37vJ++Vz2TE0I8nz/ZPPr4trz+x748AQe7vOyaBTxYbR29HhAKPe3IGL1UVDK93QLUuxf5Sb3BLtM88rPlujPTmzyFUkI9D3FDvD96hz2i2YE8MzUKvOARUT0Qs4W7AL50vJ1XTb1/Z0M7QS6ovJ/XG70FMZK8dODjvN2qvDw5kCe9N9nnPNzniDyIsMi8S4X0vCicxj26pC87ytiMOi/KfzyWaMU8OUN4vbOBfLx+tIS870Cku1ItG71nrwY92i4LOwWj77wVArW8EA7MvP81GbwVdIw8gqkDPXYASb1jpfs8yBNovYiSXD1HEr08ePaTPJCdj7s+acA84iHLPPeCZj0jFx+8iW5RvJN8mrsGine994pmvZ91LDzFFpi8PLFMPGCyer29IIi8zHeaPUK56jwnO/Q7wsNnvaHKDj1WhDiM
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
9MwsavU7zhD365P089t3pOiXHOj1B1OG8obsZvK7GZT2ESD29+Q89vPx4ez1jjui8cE+cu43SILsk7r88f28cPAU7Nb0wtRc89girPezrODx/lF69YD1Bve0iojxsuVk95mgAOsqJljwolkC8PPE4vX6UlDyRi8u7IlnjOzpFV7vQajO9L5K0vZ1gPb1KS9Y7EhJDPHHiarwmtj49wisCPcCBCjwy/ky9MOTSvNTUez1foOw8NuwFvPYhFj38z6Q8Od8BPIT0oj1U8D29BrAcPfRayDz8rlS9INDQvGae4zqKs5q6YYlPvaHkU71tTAG9yKQYPY6fwzteOy88kGljvYSReT0noGK8I9cvveIgLbqEdEg9lUCkPOaxqT3ddp29hXZvPGl4wTsOpli9LJYQvAtvcTxTZsm7Gu/1vN5c1L08XKK9FpaiPWGXkT3l/GA93wN8vJv5fzztOnW8bMvrvAiFib2vJlc907JrPcRuBj15zha9SgSJvdxl87zdIwq9OBNwPX0M
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
XJjzigo+9l9GXux2elTyA0jM9TmAaO/7zZbx0+7C9NjqgPBURjrzAG5Q9mlMXvYIJCz3x9AM91TYKvY49M71R6tE9xChCPZt14jx8y0q96j2yvY+0+7u8H2S9yc59PXu5jj2TK5e8rjK9vMXPd70c+9m7tApfPV5ArDwtb4i811/AvcLCAz2X6Eq7nEpDvREaJL1kO8Y9419kPAheeT0jJpa9MAKLvYmDjr31fZm94/mXPMtozjpj1QE9ZnNYPBQPYL0kF6e9wbpnPaoShLv31pI9kI6ivWCE8zxX+SA8vNfrvRgW0TvkoqY9o9eSPf5YjTwUzYo8aQcpvOF5M71j+QC+GKPOO2ZJ2jy5JSk9nVDePHZGLr05gna9bpqFPcnlIj1sf309vuMVvQcVmT2tD/U8O4uNvaamjb0BtC89BhqdPAnryzy4hUa9ONO4vYB9lL2VXla9e1s0PBDhWD3JjlY9g1MIPBdNt71+Ekq81j8nPYpG6DkfhCe9xJNsOhq4gj1uGiiM
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
3Jz0A1x2+ry+mPdIbgDvsEwA919hUPJu867zZ9wM77FN8vJ3oxTygzza9fVWJPVkigj1+njU8jPyZPGAKab1snXc9XpqxO5A9azzP6cI9g8yDvKvtBryebhW+9VT1u3hPyLwoAUQ9YRUqPSA+qDyIIE88Q+eCuxM0sTyTKtQ8uDcBPN50QDxbksC7aZ5pPVS7ar2pHKQ9vYoaPd6yBD07Ixg7khYzu33avj3a0eG9lUFqPODbRbx8v5c92laPPcCiAb2/9tU8ASIkvSArqjzfsZS8TO9FPa4DdT2rI5u8r4LOPLtreLxhE5A9rLP6PFQ3nLsUPSa8itTpvCiCwD1vfOm8EVhMPeCeY71Lkxe8+YebPQnbyzzWMYs86bZhvNfssD1ES/+8TCT1OxLXuLqAS+Y6ZQIxPcNtq71XI2y8pcITPTqvQr1ubzM8PSytuxHOwj0Lfae9//5Bu3o5mLypX2u9ENsoPBM1kL2a4Us93LTlvHr1tj3jE1C9yj3+vAecLbx4LlaM
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
5Gr3azwq8PD10vUTjhL1x5SE9GS9aPAcaB70sOQW9yqRmvSXPgj0/j/c8MrqrPJ8EUzxf55M9RXcrPXaTsj3oKkC9lm8LvYymhblSTVO7NQeQvJv+HrzY0j8938EbPbrxkrwFDzi9yd9zPJZ9g7yotPW8O8jgvNjJpDv36o09a7NuveJ+jD0Za5O7PoRoO0JSsbyHFPY8gJ8HuwcsJ70OUzG9VEAZvb7eM723DIq9xGcwPT1fIz0F0Qq+lYoBvIJcWzxifHU9awWSvLKvWj366N08SlqgvaiWZ7xHOV66Uo6HvEfIN72nMJQ9hP4dPIZkmb17AMG8tSHwvHlstjz31om81FBBPNJyQzy9sKW9/ETrPOJmnbwuYOc8327DvbXVAD6miBk8NOzlvJa7RL3CJXU91m4MPNxj0boz3gw9AT3JPIFQGL1sxlQ8RmWmuiY8JDz1WVW95dPQvHoEGz3ehpg9+wSAvKDFczxd0Qe93l4NvUwOzbv5F7u9A5OLPabT+DuaVhSM
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
6oIYMvr8CCr4tvC48u9mavc+JtD0yr5k9WvSkO3j1sL0z+/W9FTZYPWO8Lr7qfyI+0loJPWZfbL0c0Ze9zOTGvQzQe7ziZAW+hiQVvdWC3bv1FRg9QpXovfwUCr3JUL48M/lbPKv7BD16kwK9b91bPW+MH704mNi9/xccPRPIA71aaLc8BsM0O929vT2G36a97bBjva/D9byeQ/086Z8fvn3ZQb3Wux8+NxozPYhboz11CNy8kYUBPoIeG761PQe9tUkcPiwrpz31OyM8ZRp6PTgxST1xQ5e9lATzO7/m3D0v2pI9H0eXvPzW77o/NeM9J1JJvOSNPr3+/X28IVCVPTJB3zycuYS8YBLZPKpSuz1WXzw8rRD1u4+miTy6aaU81P4JPTzPfrvpX649GvSFvAupCr0WTo89usRpvGrwkj2ur8k79B+Kvefj+r2zNko8zQM1PSXITD0ZQLI7R2fYuvcvsLwcP9O8Ik2XPdML9TwcczY9huUbuzPkD71ZuYE85L+2vKgM
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
++KaePROMqjz1BiQ+c7eVPdRMmjxB3XO9EINAvd1JpD3juK48yKSqvPM83bthUcS90XWpvfjjOT0xIwE9C2iGPQorkj3AOtO8we5avfr2fr3o46A9AkZVPL48DD06C8k92U0aPs2S9T01D6480G26vR6qDb6QYIe99YvevTdL6D3doYg9zlIVPSVrx71lCki+NESWvZhEAb2rbfc9XHiZPCQpqrzYncW94T8rvlLyKTvrgXO9X5wvvfqcyb1/8/E91PY/PDyAoD2hsJC7soGsPfGtkr2I96s8i/DhPRak9jo48Ky8It0NvZZRQj2wot07NpyoPCXHxD1+7048jYU8vcusl7ys5TY9gwhVvK0DCT0Obtq8H3NePSl8PbyY74K93JdIPWr/4rv9HYw9Nl24vFqotj3iHWa9rZSgvV4Z0LinM3W8UihyPTw5vrzH2HA9Cda+uv6NGL3/tTc95/iOPVYQPb0Jw+S9Tp5LPW4b1T1NO1A89LuyvSTftD2XRAe87f/WvcuM
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
yGrtLZKs8rMCCOm+Dmbspmbe7ytaSvBmhGb3WCF69jPMFvYl9OT1cCkO8O0LGvArsaj11JTM86qwavRprVz0dnIM8mvsvvVMvdDrfOQA9YSaXPOMwWb0+WWY89ei3u4Y1LT2peqW8YD+zvFcYm73QuSI99n+aO0dZBr1Vlcy8jUwfPc4iIb3EAqY817SsPNrMpj1bQZC9BcgkvaNWajweDdE8DBZbO1XpsLzF/fo8abiFvX6oAzsVlJo8buxxvUNUsb03QRI8/7xivD1Ykz26iRw83UDDPMZKr7vHvRW8lKv+OpwwFj10c7I8t26UvFqfe73lxIM9+qCFPdk6B70GPIQ7pQ8MPYMBsT25plK9+dWEvBLLBryCWYu9LrlEPUfOnj36g4G9nP8wvWNb17wS8tA8OmWSvRTcf738NEA8R9FovUtQor3nH+c8ex/QPK4f8LtqVhY9NTHKvRDNjbwADlm9gy+YvfrYxjxn69g9YM7jPP422DwOT3K96BSxPKJsrb2vq3UM
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
2dTxS1FQ+7McqvuDaZr5PKzo+zD+xvU1UKj7yzda8IllAPgFvLr488yi+6V8DPiLr5LxwIUc+8BcRPZgT0j3GzA++QrxMvuTwGD73C169woCcvZxNI75XpOs957VyvR0L6Dx8A4i85sBcPUwiETxoAgG+SZGavV6AE75qOYQ9MIhtPWNkv73acsQ9nCPfvVE5Bb5vOyy+GFTSPAEGkj2kaiS+GO8fvUI1qrwDJji58zyqPZVHFDvXtsy95LRsPXB7nLxgJY29PjYtvmb9Abummxu8+mOIvZZgMT27FPK8OWJvvETKEb4aSWY9QSV3Pe1u/jyvVNo8RDVCPv4Hhz07sEG+xGDJvFDyhr207S89Uq60vBq7KT5iR807gM3PveJ62r1kPL69UQsMu/81pb3+08Y97oikOmuF0L0iZMu8nkBovd+Mjjz2pNS9Tw8MPZ6jjDwlxOS9fCFuPRS/Gbuy+xO8VzRZPfYpRb3KCPu8MP4Wvd7d7j13FHQ9qyOiPRwoGT64H+KM
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
gRbxefaQ9ShN9vEjN7zwFrGA9UOd6PXR7Cr2Wq7W7paUNPpIqdzxtL4E95BmiPRjWiDziY0k9qcmxvKrPqrtIk4K7LiMYPfEDjD076ys9xFIwPeqdAT5Z2lK991OYvEpDX71TLYO9Q8wZvTgwLT2ZnEc8iuAHviP24jwYgTW9/nCHvSsvUr2m86Q9gnm6PVm5gL1tLsW8wmVIvWyg8bw8uUm94fKTvRHBTz0YO9S8/BasPOCP0TjTpSW9VDxuPfCImLx2Cyk9XNJAvTqKCjyORjU8WA17vR+4ULxhVyO9NT+pPbtrDL07Zfa7tNcZvcXyqzwAL+U8ZCegvTOrOr222z09yMR2O/Olrz1dUnU9bQF0PShXRjy2fl09dEXlPLLY5jutZaQ8xf9fvayomTxzwcI8Cic8OvuLG73GKCy9mV9vOhltQT3QpI69UBa8u9tScr0LI7s9DpAGvU/hvjyPVac9s8ZCvSkDh7xTCSK9bEiyPYlEUT2Dtyg8tXdFPSwf5DwIPfkM
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
9t95XPcor8rtYrKC91sA8vDGWZT1l6rE5AuW+PGhyzTxT5ym8txixPKAEnL1y+Xg95pDHvNIKP71Hn9C8P8vHPKOcfj3bnCY7lbiKPUoNdz3Cyrq82zcgvDmExDxMxBI7gowrPUZG77x+H467vrq8u02mrzpggdM8NrCMvIpcEr3jITM9ds2WPecg073cABq9b7tDPax0OLyzutM92YG2PYTgYz2072m9se+8van1pz0wfDe8uhnQO95h3rygkxA9UjP3vbpDqrzVw7+8uFmUPDXKrL2KnHy8njtYPRaWFb0rmIu91nEWPKSOpDwJJAK9eG6sPFtJijxyzJ+9jjSuO6eXYzyB7LC98xDDvGTSyT3vZ4g7zYk9vXnfAD00nSu83YJ1Ojw0Y71y0EY9J5bKPFwsk7ulMoK9NO0KvSmIErxovlq96WiHPdo0bD1AICK92qUFvZgYAT12Hp69XNCsvd7PVD0KbKK8gxt4uhl1grwB4P88J27xPPdrtL1qFzy8XpObPFtM
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
tQLzfvyU9oEyKvE+TaDxtONu83wO/PdAMbz2I3MS9xCBDvZodRjwYvQu9Fg5PveE3dT2RNCw9lE/XvZN6UL03XLQ7PWGbPE6uHry7+wE9cAFcOktBAr7Fvqu9THeMPNh2xz0V29C8Ka9SPF86lD3H/Tk8QiZRPUQEf73/fI69MEK/O0ctuzpUj688/LKPvWVHuTwFRMy9NDJCvQQvkT1x0hm9gy6mPepePr0rEN488YA8vZrThr1BOFY9c3VdvVmizzshQxk+JjNoPeeUUz0pjzi9n2uYPSKLoDt8S5K9+0S1PQQE4DvBzyU9Bk59vSfWybtHuhK8HpECPeP0Lj1SJQq9gKevPGfdmrzdmfu6fpCgumuLC74N8rI9FD2RvZpPzz0QvSI+S9guvLjhMr3Nf3O91lW+PBDHEb0ddwM+XNflPfD1J7uuOiE85f6avfVe/T2FHBu92SDYPPzuUD1Nyvo7Pe6BvAx1pbxNfUw8z2KYPMWorrxuI4k9u9/COrOVST0mn2wM
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
8PjfaPHBCWrvBsyU90+gDuxm0tT0YgcY7+VaNPdtYujteuWq+WVjSvSJ2Oj0yoKG8cGTsvZ7+mT1z0728waRfvnhl9LzNJ/M84eSqPU+7k718bmo98PMHvBzbTb4H7ee9eKynPcSlTT5RPb69DoyMvMhaHruRRro7IuABvnqY8D0T1tK8EewqvctBzLxgcJ29HI2tvPpr6r3O2cE9bOcePTQfUTxjqa09fYUJvYA6wbyxEQy+W6tsPcHerz13P9a7iICaPPNhqLv0j8i8owSyvQ/poj20LrG9Zs9rPYhmZDzRzVe9q9OHPY3HAb4yfiY9Mvr4vLW1ozyXk8I6h0tVPTDKyz35GyA8v/7RukRo+zxfF4I9n4EmPanQ1T2YSIm8g3aju++eRbxZUIq9kEnMPcAtGryRrX88BLK/PWXOAL2KCcS95JzDvW62ej1kIea8hoJIPXDpyT3J+B08L5GFPCYhfT2l9FA9PYGRPdPD/z1GNLS9kwh3vY3iob1YKNa8Fc7WPBTM
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
9lW7Dvely3TyQyL06kE4NPQeWkD13QaQ9ClYJvblcOL3NieE8vQVGPXzxhbtxaPW9b+y4ve+jzrxo1R28bDgQvW44iD2itWE9a63OvTCCpbzyUZ48LyxFuyp5RL1LG268cNAIvUvU4b3KUIa9SSEyPdVBFz4Scda8fjuXPfvXwz0QCE6+tdcvvnvB27sqjAG9DPlJvaNLwz0NSAy9Z51IvlI3C75D/M+7bIXtPQ4Ejb2SPpI9IyVsPEVSOr4fSPK9PIlhPFBH2T3x/l69fG0KPVJzQr1PXBK9nSyGvUiWWj38wA69tcNuPGYNAT2PodW9p6PkvNrAyL0G/4Q9GGPpPfk2qjzUrMs9RtB6vLSGOzqnwiO9QzSQuiDGvj1cKD69vuc8vCwv27187q68BP/SvdJIHj5dwZY9iNxcPRG/H70eiQa+93kIvWz1Cr48MRI+HMJKPtvIWL12odQ8sOWfPHrW3DwvBIe91LI3PTnKgj7rfra7yI7ZO/FlAr05xzA9r+6CvVaM
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
Dfr3FoRM9hKtAPPjqRT2uKzg5rntLvRxc17yCM1G9vToDvPQwYL1rxW68L7gVvaZgAr0BFqm9FHwqvS/7aT1/LIU9jF8QvQJifzw7WLm8AG2AvfNPQL2L61e7x0bTvOo97rx2CJW9g2WjvZq5hLwMMxs8OOIxvWNP7zx9yu+6Z8GYvVstX70A8Km66umbvfcTCj1Pmww9j6s1PIsqorwwnoC9BJq7vWVXlL1Eu748dzM6PcSYxjxoVce81YWSvJU9Fb2sd6W9RHFEPfuniL2l99a8XWa5vbaklDtIRGy9NBqVvZpAZD1+qvm8zPxxPCaJiL1a7v67aciPvQuGR726hUs9Kw0Hvf7yfD24Cxw6lxxhvV8vqLzbs1S9Pm49vdUDp71hiNW8hQ7HveD6rD20LrY8fLz3vFTOUz1A/N+8/NrcPFlglL1tOjU9FiMdPZ2zmbxziBY9j3GbvTyGTT1LbIy9VvLMPG3liD3LTv+8WUdKveS3u72W6Vc8gnP0vIwhoj2/XmIM
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
9HNAgvBwwGb2dhdI949RUPbKmsL2goDs8hllyPCz04T15BH2921SRvb0HdzzWB5O95RrHvDEo3zw0jqq8UQiVPGsfWDy2XFg9/PUMvlzr/LyZBEI8P+3xPDE1JL0mwDI8dif3PK0kDr7Y9CS7csQPPUlgwz0pt4W8aDJDveZgGj10Hum8JEkrPV/R0btpK5K7fN8cPWSk3ryIwX+7by0HvladqDzLvGQ95x8VvahsxLzPmCK9fZCJPaU+n73btaw9WhcTPdwFLT1gj1A7lXfgvR2Wkz3yOks9VicrPcJ2obzYkw2+ksfBPSEx973RshE6XfUEPcN9gj128IG9O1jDvSipxTy96qC9K9+RPRqCdD0wvj49TcHcPE9PXb1gLu09IuUgvcdrNTw4qBc9li1dvI9sBD2xFVm8OGm8PBVHkb249Ug9m7X5O7f4Ij1B5sQ80So6O9XmFz3D1S+8V7BPvDvVBT1Z9089ZZ8kvKzOlzvmvJ+8F99XveuKj71Ms4a6Ewo0vR6M
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
92HEMvSKctL3UjD+8QMLePBOQ1bxtTNE8APprvS7/Sz2fcrK8g3nKPaayrruqpLW7y109vSdPaLud0h291cWvvQtT7T12v7+8VmyLvN52pTxbSHu8gRKSPIsrn7xJxRk9f9k3vceb7byBNao82vhSvLy157rY2+27F41mPY8XRz2AvJi9fhRdu1A+Ij3D9E69C2hXvbMwAj2qH4y8LelDvc7uEL1sqci7KCXdPJapLD1TVDa9CPjKvDMDqL0HHyA9xGtcvTeavD3vEuE93sLlPP0T4TwXzEe8F9nGvPWCNT39lGG9oVHZu82vqz2I+PG8FF91vQj4YjyJpoS9PNq1vDbHn7peXpO8Yin/PENNBL3TUpq9GAHNuFarUT2ixw0+rMfiPWaaNzxVJl+9X5CsvK7EBDzzo9U8DYakPDrzuD2/2yG8wWxpvf/5Nr1go1K97ANxvIu7FbxXsRM9GfYFPOekAb4bx0K9XSTUPPrsSz3/EuM7CK/WPcKiaTy7TQ69H1bEvQUM
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
9d66IPeFw7DuqDNk8XgnWPO41kL0QLg+8OUUUPf0bXD07zUe9pcRnvbaYDz5fiy+9rexKvGsVxzwR9bE9OHB/vT5Q0bzzUE49JGc1veP6DD3XKSI7gkooPYSAlr15Za291ZDpuyN18Tua9+88F6E5PUai2z1bbrG9WkrbvbcKOz3njMq9BdaHvG4AET3Y90g96/DsvAtsEr0rP3g9N3mPu01kFz3D+ya9jgWyPOeNA74nCp69ERSVPRFqGrtXHt09GylHOz2MOz2R0Kq9yx/ZvaFoBj2+R5a9E5hePVRyiD0Oo6a7HYG9vScItb0va4M9bUi2vFYgmD3CX7O9joONPH4HuL3KNY6960vCvC4Gkry/yoU9liwOvnh5FD1J8Tq98hDzvI1vVD3pJME8e8wlvMLegbytsX081AgFPQkvgr3f2hQ8KaLJvocEEjwcQ3w9tA21PknTEb6kKKO+QusbP9cxDT9h3oO+e8y2PhwZxT4Q4VW+D08DP/1Dbr5Xjog9vOSePk/M
UKD/5ab69b+kHv0ObBb/vEtK+lsryvn0Jjz5zv9C+zdE/P8fVEDz8ao++YXc0vzLum72YYAm/xgKbPgU5kT4WW0Y+fdUDPoTBFL/f2Lc+G5VvvpfFYb6gbPi+BYa6PpvBRL6tpa++VGIhPtBbmr4Piz2/IPh0vWsTFz9e/5s+/kedPkCTO76aq7G+7i+7vsDs+T6sCFS+eU20vgEzBL8nKJ2+z1aZPuD6Vb3+lEc+ZFoovZ6JJb0aG9y9eVYAv7HmDT4grju+GhKdvVYwMj9bFzq+pE9KP5rpzz7kAJG+M19Gv5xSAD7sgai+7UEZP0GM+r1RJle/A08tP11Fc76EhNI+WdK0vrmI/T71Wzy+C9CnPsM9dz2xbs69hK8NP8kkhz7ykFI/6yQ/vpIzKD/sCoY+g2xAPzcr4T1ENLQ+VF84vjCbiL5X8cc+K9mIPr0RNz6QHSO+i10mP+HBEz84NYw+kCJSv+8sBD+YVNm+1HwqPkqLED/VIgi+R+irPqwXX74IT1YM
+siPivs61sD5bpiq+W2xJPjzP3r0q3aa+RTNCv8ED4Dy+Qw0/zOciv4tBGb9lGqc+mQ6HPierJj5k8cU+eouBP2FHnD2qXTy/bquAP+acDz73Izk+1CmrP3MQYz9X6JC/j7/yvybk0D3y9ge9n2Guv5tVfL+S7Wu+NJDgP+FtxT2+Pw0+JoaOPTtHKr7QjRU+CBAjP320jD+sCcW/wCuQv+V21D8/7iQ+eDKov2/BaT8ZmAy/cfrXv3u6YD4/3XM/csNIvxNozL17I4E/mIqsP/9ukr+uz4Y/JHCyP8Gz3L8o8wW943l/PRQBvbx3RxO9", "training_traits": {"structure_gen": "Random", "n_layers": 5, "max_nodes": 7, "activation_func": "Tanh", "epoch_num": 6}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},m=25,bM
=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)}updateAge(eM
){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)/60,this.stageM
=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,inputDim:thiM
s.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(this.v)}draw(M
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.c2=a}getEndpM
oints(){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=rM
andom(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;++M
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||max(o.x,a.x)>r&M
&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.noStroke(),e.fill(drM
(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(33.2,331.7,24.5,337.5,26.599,364.1),e.bM
ezierVertex(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.bezM
ierVertex(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.bezierVertexM
(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(43.2,279.9,43.6,M
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.bezierVertex(233.8,1M
0.3,242.4,14.9,249.7,22.4),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(469,219.5,471.6,249.7,458.1,274.9),e.beM
zierVertex(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.beziM
erVertex(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(96.1,110.7,98.3,1M
09.9,100.7,109),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,M
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(164,473.2,144.7,4M
62.099,134,444.3),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.M
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(94.2,130.199,105.5,125.399,117M
.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(123.499,112.299,120.399,109.M
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(174.6,52.699,173.7,M
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(235.7,116.499,235,116.299,234.4,115.99),e.bM
ezierVertex(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(24M
3.2,401.99,243.2,403.4,243.2,404.9),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.bezierVertex(304.3,355.4M
,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(256.8,170.7,268M
.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(256.8,95,256.8,75.4,256.8,55.M
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(325.3,66.2,336.3,59.9,348.5,59.9),e.bM
ezierVertex(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(337.3,141.9M
,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(391.1,303.4,394,305.8,398.5,3M
05.8),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.bezierVertM
ex(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(150.5,242.6,150.5M
,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(172.1,225.499,184.1,220.899,193.5,212.5M
99),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.M
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(133.199,356.7M
,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(194.499,305.9,188M
.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(317.7,242.2,315,2M
39.799,310.5,238.799),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.bezierVertexM
(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.bezierVertex(36M
3.599,268,364.299,268,364.899,268.1),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),e.vertex(357.M
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(371.599,360.99,371.699,361.499,371.M
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(330,434.7,327.5,437,323.9,437),e.M
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;++i)for(let oM
=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=n,this.matM
=[];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.__linM
ear);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.__M
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 e.map((e=>e.fM
lat()))}}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+1M
)+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.neuronsLife.push(r)}M
}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){const n=[],r=[],iM
=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=r.pop();returM
n{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.elt.offsetTop};M
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,height:this.elM
t.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]=o[i]}else thiM
s.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(":"))return windoM
w.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.value}mouseClM
icked(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)M
}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",n,!1),ee(r)M
}}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]:"",t=argumenM
ts.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.siM
ze=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(M
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="123";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,YM
e,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,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$e=creaM
teGraphics(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.M
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","#D3EB8D"],["#713FM
F9","#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","#M
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{if(4!=Pe&&5!=M
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=>{const[t,n,rM
]=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=!1,Dn(),ye=mM
illis())))}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||saveCanvasAM
tCurrentTime(),"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.siM
ze(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.textSizeM
(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.stage,rn=e.grM
owth,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.patteM
rn))+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(IeM
[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]=Hn(e,n);DM
e.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(mt,yt*e/width)M
),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 $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=flM
oor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=eM
.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$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(1);Ie.push(GeM
);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++)0==Ce[e].leM
ngth&&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=mM
in(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,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),Ue.M
stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$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.rect(width/2,heiM
ght-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.strokeWeightM
(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,r,l,bt[e],bt[M
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.beginShape(),sM
.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,.75)),Ue.recM
t(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",width/2-100*le,heM
ight/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){letM
 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/2-275*le,height/M
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 until ${new Date(M
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,h=[],c=[],u=[M
],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.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.lengM
th&&(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,M
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()],["AGE:",`${M
Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${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)}}function or(){KM
e.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/2-53*le),0==vn&M
&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("DEAD",width/2,hM
eight/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 M
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){return mouseX>e&&M
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,t,!0),Ue.resiM
zeCanvas(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 ${r.length} NFT collections: `M
;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaM
ches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not thM
e 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),zn=!0,$n(r,i)M
,qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$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],["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{visualM
:{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.hardwareAccelM
eration,"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":"7b6048ddce8da23b","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' crossor+igin="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_384", "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": "tanh"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 5, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 3, "activation": "tanh"}}, {"class_name": "Dense", "config": {M
"units": 3, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 2, "activation": "tanh"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "Dv0tPa5NjL2houa8sXQIPmsFBTzAFoY8BF6SPUeHSz1QLbg8cbe0PWy2Uzz8I529Kb1tPayerjueFQA9hH2iO43SEzxW3uy87tR8PSPfcz0x4MA68ra/PRIELz19d7a8retoPVUY1LyojUK9ONeyvOzlub3QZCM9Lv6nvB8zC733tb48I3yfM
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
AIy7ow2DPV97Zbv9jeG7RTEhPbRj27sgx5w9embyPdNYPD2YCQI9n9PHPQwzmT3EzQ49aey7PZ9Zaj3EcHa9UtYKPaLDVbs7Zk89bXzsPZgJhrwPzgy8DaIHPo6peD2vOdY7ZUJtPevZkj3YyU09BbKjPbulBT0DTtu7Rt7xO1kirTyjBCg9HBukPf8/t7w0w4Y9A5S0PTQdQzygT888PVcBPRr9Dz0E7OI86gwZO6yqpD3e36a8CA1pPXcZcT3wgVs7y5DTPYOlizuoTx49OBOYPXbSLD3Rxdc8Ux4APdy0uTtqESk9ZGnJPZttuT2ghIC9IoqtPc2n0btg9t887O8OPWEX/LxopFW85vjfPYsi9zyQIaq8GvfIPTIpKj00HMC7Vni1PbgFmj10Hf28Q1inPbwtwzwmytc70FycPSDgq7w0bIS8NLwTPktVKj2GJWy8zcHMPeo/gD3QNJs8ieOpPbd2HD3k5129E3ooPem3hDzx5dO8Rt9DPRgXUjwetKY8rCSkM
Pck4Hj3Jq2W7eoGmPYT/gT3G2o89/A/TPYHNEj0JMiY86+K1PQI/WDyiwdg86Lz9PB7pEr0yhDQ9U/PwPWDutj0NyPO8pHVqPQsVhDyj/YQ9lZq7PeTG9TyV8ha9TV+fPRmeqLxWC1k98UrvPG54Db0gx2A9NTMAPvdQKD1eSMm81fhoPcIagT15pOy7dohiPa6OUD3UcUy98coVPVOJVbzGyjE8hw3ZPWyriL1G6W483tC0PWeE7boWXgU9iFp/PaH3Oj1NGIQ9rBKCPBMAET2w9AM8GNFJPRRKiT3vzNg87mDqPXO3i73RZ4E9PGgaPlX+nzw8Kwa9pg8IPYnBkT2jrYE9Wi2pPXso5T0tI6W9wlGXPdqToLynaMo8WtzZPY8e9Tw1g4A6L6ixPbiUfT1ScNC8LZR0PbA1Bj0VOLY9xNi8Pd54uz1sheG8+teBPbGSyzyL8GA9XZmvPZKfijxhVK48AxH6PUk1qD1K1c08a2nnPWvjrj3H5Bs9tmxYPCmp2T22M
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
PRaxmDwxWDC9kEXLPU67WT1ecWK9SGxmPV9QDD3b/Ia9GQw0PRwyPr0UHIC8KHBDOhv0Vb38aVc9wRlPPTAznLukiIa9EZ+FPSNXcbwXi5Q7Z/OuvIjtxLtDwRy9+9MAvTuvAr3nH6U8bLwFPEQaZzxPzus8L8mzPbIRgTkaL1e9B7MOPTys5jrQbII8i8cPPSb2zruLuAO9E+oMvUBZkL1Jm0G5qZLCPam8C73o0ni7JgQ6PdGt/LymXKK8KS1yPeJPaj0Fplw9dQYmvYJhij3Tu5W9V6ASOmVo2jl2hZA8rx+3PVc0rrwuSug8iAz1PSyR/7zxnD28Ixa0PZ++wD2urIg9iICIubyN0T2AE4s8+lIlvGOHTj1/+zU9YJriPSyKgLyG61w9EH2MPd2yujxz0jE93W+PPZpJPj3VCnW7oKzvuy9pwz0fwhi8TfusPVewLT3D9Bi8y2bNPUbJUDznvPA8HlzGPVVVOj380BA9u6bYPeD2nj0GDiw9veJIPaQA7z26M
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
A8y9U26HvEs1QD2ykvw8qo7bt8olPr0WjlM8QR6hPZ2LIj2pj4U6W6iJPeVSBD1nWJ09hHM6PTyfszy8OJm8UbURPe64wTsLwn+8VainPY6+JDu1SiW8ucWOPbkSo7zAeze8oRWlPdHDRj1KrI093UhEPNEuhD0xToe9Ljgxu+79CrzlPKi7kzxMPZjmjLyZOum8K1TwPUU1ibwKSDW8dxqAPSXKIzw3TYI9RVUlPI4Gfj3LUZ08/5bMu7kpiT3z23w9d63UPSj6rDwfEQc9W5r9PQseKj2s9pa8McngPWb9qD2vWgo8QnrUPLJ36T3FONY8s4kNPUGQCDwnfK88dsbjPTJwojxrWsA8XkoYPhjGiD2cfQ+905nYPbu9YD3H1Qc9UEzMPamv0T340AS9GY17PTcRzjwNhzw9FVTdPaFi/bzFpzs86cWuPektdD3p1Iq7604HPZodoj0E+8Q8hf0hPOPDoz2x1wK9F8m/PSKs8jyaHfY5TyhxPfFDh7078wU8HMXiM
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
0pU6WnWYPZh6hLw3/DW9VAmbPflKwLx5bGU8Px8EPukIFDs5ORE9j+ohPebjbD3KKN08/rskvNnFoz28R2q94x8IPJe6cLzcDPy80+R0Par7tDxEOT09MuygPbgGAj18pU28JBmnPSidqD3mXTU9Lm0rPZqYvz31cqI8jmlsPa9Zjbzq9pA9+o5IPSnk/DlR7Ds6VOTZPZ8h4zzzsua8sTQCPp4ofD3mPUE8Qh1uPc0SWD34VKy81VkzPcPwKj1g5ZQ8dfpGPezSmLwvddW7dC3rPXaNkT1b/2S8eqB9PeONyjx5/oM92cQ3PdbMnj3Womm8QIb7Oso7ej3zeKA9MCZ7PQcb8Lw1+IE8JtV8PS+D7zwkK9g8SvSBPf4Fjj0yo0o9EcUvun6YMz2EOOi8deQoPKlABj1vtWO8u8F9PRYwD7yHDh29WXrwPWQrh72fkTi9RO7YOmnAm7y+y2A9CEaEvfwb4Tw7glm94UIkvVZRUL3H7Je9seHXug1Am70fPnA8PVzpM
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
PU1Y1T2fN4E9AJdqPeH0dz3xALM9tvFRPT3Vnjy3N4M7nz6APXYMibz0wGs9e92DPfuoTj1fa388SCyOPZy8iz18cwY9i0QuPVSFAzwFNZk8Wd5APYZynj0wcuI8argoPaY4NDz160w9T79sPZfwkz3/cJa9Kk0qPK8zZryN6ga7DtfNPVSWAjqpIeY81DPUPeKvDT18w/88m7KbvX5DEb166zk9ThZnPV5CKD1M8fS82X7ZPNoiST3VxxS7zzo/PYcoS70DSwe90uGGPUJG9bwRYta8fNCLvGSS8LyPh7Y9401UO5iaaDwnUom8rjdLPSNuXz3u4iM80kbQPYEtFLwNs8W85+XCPXezZD09Nw87K3kTve5PLLxiwJo9MjsaPGtIcj3+98E8sUTDPcqpjj2zIJ88H6SgPYCfMD0S4VS8QxNmPYN7bjwpZYc8rLAsPdfTKr1+49k9pmofvOxpWL2h+Na8mKilPUKGbbxGLA080YC6PBegPz38+qy8HleYvLflUT34M
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
PbCpqbqV52E9tZT9PRTgsD3LrKU9NSXDPQFzoT2qdaW9CvaiPAErjj2dn088TPIAPauqtLwwYJW8Jn0FPmxXYjznc4M8GkXQPR2KND0rQYo9S8pfPSurGj2sApC9lSuxPSIL6jyjMQS9zDEDPdp/yzly7zw9Wy7vPRl/lzyJicQ87KluPC2ZIz3NuUM9bTZ3vOMEaT1MBO+89+53PZywtjxfMea8gvLHvCdJob0POAw9li2jPQTcUb3q8tK7IIxpPFhmd7tvcgs9Mvo+u73XJj3BgBC9YHtDPbB8Q7teVoI7X9bBPICfhr2SoWc8hFG6PXULc73nzJW9P3S6vPWfGrw1BHk9BQzsvNOkxzyHSPW9PHNyO1RPkT31ZPG7bwntvInWDr39eb68j3kHPmoDrr0wf6u9+7t/vAq5Bb18uiA96c0JPNMZyTx2SQa+ChKnvfZJKj2Pk3S9BjSGvYgKvr2WB8O7X2QWPuBZnL0Kz069t+YHvT8DzLyc15A8BzUhPM4ziL06M
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
PcLzMr0pY5A9Qf4GvbjKI73YCeu7LZ3RvD+DDjw17py9agxsvcNSlD3mK8u9Y7mAPb3Mj7x3YKI9UIQnPRY8MLxRvwc+ziyHPKZK2T0zzXE9BI6ZPIxZCD0Im/G8ZqinPXiZOTzocAc9zCq3Pddk8jxgbJQ8yxa+PFfohjuLY8w9X8ALPZVkbz2s7zm7e1HovBxn+zttNQS8sJLXPZttfD0fo089+VASvBwrU72/opm9GCSnPS5AHb2oW9w95fARPUlLML0173892uydvT1hrrwAYI69Ow+cPehyEj0XPgm9Di/nvZqMrb0fOrK9twkIPXjHPr0j41w83HI6vSixL70k7Kc9FnFTu61RdTwgNYC9Gra5PXRcgD3HcpE9lXblvXjBk71UQu29HhI2vNGM3j097p09R8A5PLT9Tb3hdYe9gqzVPe75Qz3ghhC9CT0BPeTCkL04bbk9zxS4PHn94Dzsyi09/XBDPMG6ST6QGHw90DR+PY3zUbxKaQS9F6gkPiRc/zzRM
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
Qys9l4fjPCWjSD0QOuW7bl6FvO0Yn7zNYd08mIZNuX69Qb7gV3K9bXetvbnwi7xzXrA84Fv1veEedb3/nRA9CkEgvddfIj1jEvi9lXZOvWkUmD3kar49qhCqvFtgSD3lPgq9FNlMPDn4ID3S5i69JK6avd2L7zukeqY97Ny1Pe4gubrhXW88IGEhvdjcgrwHSiG8zSGsuk8HAL1Dypk8fCxEPGBstbxsp4W9aieRPbhqqD0v1c+7iJUgvZU4gDwfZJE8hNVKvZ7mRD1+9Y28GblTO2SbzTzSqzK9u6CTPGEonrz2jfm8sc9jPZA/rzvomBS9yPtFvRNIMDyy7Ps67vwBOhoOmr1bB1g9BS6DPRb4ybzIOpy9IyXNvAwh6jzkzFY8iZKPOpnq5zxiqRm9V/jVvEoV6TxBbxa8ykcSPdvNtr0JMkU8+WeGPWapsLvBHwA80Jqbui5hCj0dcMu8oHY0PdK77TwuEIK847o4vc27Ib1yUSy9mn3sPLRyCL2gohW9UpWSM
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
I989apKUPReq1zwDh889L8JyvTh+KbzIACu+JCAmvS9yzbxrS7C9Vbgbvofrhr4ow6e9XTTRu06zKL78VEu8kAY8voZKWDsniuG8x/icPSPH4T3NCeM9XNvQPIsD+jxUfWO9gveiuyrLRL2hWv07W28dvXzYl7yPT6C7VH8bvXBM4zxbJzI7nTl3vYoSiTyrnTO8v6acPWFER75xCzK9vWEsvdheD7ybjkO75lQgvvYpmb3rtBS9AxwxPPSHcbyKB1y9F+JbPW0fKT1GSp09drKJPWS8dj2fbze88t38PLM1xj3Cbn68kVksvGKUOD22Ka496uY2vYCJb7vAl2I9cVjbu19FhbzmL5e9PeW5vJPNPrz3gua8PogWPLxxZTtWCsm9lWWsOdEWMz2TtIS8GMKFvLAkyTvcKJI9s66svO2dgL2W8uQ8zxaSPVH+t73JOVO8VnLROwiYET0hwXG8UBxIPJYaBr2W9yq9CLUOvTxddrx9IqY8CctvPJk9jr3dubI92tGLM
Pd6SFj3Q7Hc8kq8tPBqd9zw47pC9dSeiOzP467w1HWe9PF8GPIS5A7x53Bm9+aXfPM+c/7tlF868WLlfPS/Kij3+0xi6eMVHvIWgVT1hx2E9dZIYvXzfaD0szmy97Sk3PasqJT3ds8K7VDAOPQIu+bwMXRS9NBsIPrjqLT3vQa28dgEWvXarQTx9wje7JC85vPFuPT1/OaO9qqQovau/yjx+YHa9DTNDvX6qx71GkoW91M59PWoojb0VV5C94/IXvbz+ar0TLTM9dvRRvqq2GryPXeC9XbYqvWHhdD2oN8+9GkegPD0GUb09sH28BFquPR7fT72BxRe9jxu+PCbonrxC3d89rIp3veS7Lj0MiWW9MSlLPUh8G70+p5u9B752PLAQYrlISzM9E8hbPZyom7w8zLm7FL5MPLg2Srz8eXw9ix9YvcEavj05uYC7LESAPRm6Qr0Sfs88DsC1u3cuY7xMVCc9qF8EPuIBHLszQlQ8mAOru0D5ET0ZxvA8T/dpPFT0nj1/M
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
Qwu9Dm34vap5gTz//GK+C4VWvQvO071rlxO+np9TPXFGfL4RYhW+eIHvvTkGeL6J8WE86ciSviGHfL2kVBI9cq7hvYHYGz1BixS+1teJvahVFb4Hzvq9poCYPd5KAb71s5O9BYZhvf3xzr0j5ZC8YIEgvjNpobz/Pxk+Yr0pvbULeD0xM1C9q2Bnvc9enL10FU26kCwyPb73pr2hacm9kVpAvbV+kb27OA09zmUivitUKL0Yyu09qn+pPCw4XD0mT6i9FQ4PvW5Uqb16/em9jkpLPVwWVb7Q1aS9fHsbvpsvSb7agDY9vdWwvhufFr080IM9n1iBvdaDJjzSnme+NOaxOxk5kr16g/K9+GSNPYcYKL6cQVG9uzERvrOGHr6Qcy09fmpWvmL8tL0yST89+LwovvUalD3GPSO+fhjzPRYKUr3JPB49AFowPQXjuj37U6o9KsvvvUsWYL11JqQ8RRT5PFG/Iry985I9Iei3vMzbPzw7Bfs8YkW8vOkgqL37K468qXWgM
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
dc49mQgaPTKXGLtiooc90cxMvYzYHD1wjC+9/htPPVbvEr10Z0g8S/E2PAh3p7wJuWE8BN/cPSe6tbyTWuk9EHZZvOEqUD0Okjs+kaxhPRm9iD2AU4o9/88dPX8VKrzzckw9zvImPEzEjT0pZRU9RzcQPmgkjz0O0EE8OKOaPWk7Tz3st3c9qxfYPYcxjD0RUxM+Q9FVPVIrJj7DwxQ+CiEePmaFLD5dMUC9UcmHPvTEzD1Bxcc9yOFhPcDbpbzEHy4+oZODOlSflj0arRI9C+S2veuBxT37dQI+bJC5PSYk9T0tdDC9HkITPrj7jz3N7dE98zb3PU5jsjtl/AY+kGlxPcplvzyI12s9DfscvdAKyj3cysM9SQSEPRT6j72sJJS9KpLfPV3irLu920o+71mXPakooT0BEsc9LpkGvTFhvLwOiO47JvSivTudDj0Z97a8RmibvBA/nbwAxrO99e+YPQswVzwA/wI+j72PPRni5bydY989rXqmuyEnGj345aC9TwI4M
vYlp5Lz7kSO9Nq59PW+ekLzE2Ui9f8pnPRgIijwfRNw96dziPMwG0zzj+eU9OWzbvEcBYzwK5hC946iFvSa4m70aN5C65UsUO1LmR71jiES9yXrvPAJQbrzIiDo+q6f3PN5JzLuZiBs+plrKuT9+jr2aSDO7IpwkvMQKnzvwqie9rjxPvfTjNDwhtwS9655OPZPtO72yKA0+r7nZPKaKwDw7TUk9R/diPb0cizy5vdA9d2oOvTa2nTuX4+y8H77QO2a13T3jj/S6igPBPQnPy7x0Xbs92iqAvCqTbDuf0JQ9UtraPP0USD3KG2091LOJvRRelD2Nwrq8tCcmPRwGyD0EdZC91pZVPq7usLwT1xc+Zw/xuzDbW7051hw+HzQQvaSJqjwyeWG9ZsYCvMm6hz0unuO83U5PPFEOVzye7rS93UV6PZLbDLxCZyI+wRMtvMCMi70hL+M9z5yBvQbYgL1PBMG8YpnJvDFCrrybtDW90sK9PO5AYD1ZtTi9MpqPPPQvxbueM
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
PbzqPjxkUFO9sZqBvbROJb0iCCC8uiorvTS/Lj3rS8a9oVo4vKatJD0u2Bs9+89vPV/+nDy6qFi9oJKAPTuViT2OQce9HbDKvLg+8rwVO4O7GtZSvEH3UL2KWzm9SYxtvX642bokMbg8Wi5HPZUnRbwIgGG9YHwdPZDeIrk7Ht69/LgMvR4KdL1OhjM8MUUku8RkrzyJbH+9QGVrvEkoCj3X5OW8IXHPvOOzpb3UO6i9QJTbPbI1frtkrcm9SCqSvds8jr07d4e8z0jOOmCHH73vx1s85c8IvYjl+7xLWS+9NFFwPcikB73xDD688S8lPaqDU71a3pS9yapMveynSLxru1K9yySGve7x9zxya009q7wePCf7BT269xg97/oEPsK1o7uUYq493QHjPd2RTz2pDso9wBP2vPq/mD2BlFi9+PHnPez4rT0soXM9n5FMPJQMjL0v+0U9z3ghPjROwbuEmwY+p6wbPsvqCj7TPnE9ajUVPVAf0j11wYY9AoOZPaocAT5wM
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
OnOGM73Ybbi9rtuAvSKKJr0l1wi9Ib69vZ3unrwx1wO9CyCWvKFmk7xvNRK9qxfqvFuYd70mXIW8BnmKPNNjG7xhH82986jtvHAt0r2LIug8Gy75vH8F5zz+X8C9YI+DuUlNlT1QoD89AdqpPJxDNb0gUzy9+1e2PQAYc73VXRm9YmifvczrhL0FCwa9+T2yvUgvDj14Fcu6yfHtvALppDxzJpq8RrS4PbuoEb0zURy923Q/PTm+2zyouEW8MBA1PEIoCb2WlRk8q1rUO1PLPrxq6pu8e4qKvDtBibs5iBO8jExlPS4s7LxoMZe913kWPR9UGD0WX7m9KLuRvIJEkrwDG1Y7q8RNve2rpLvfTKq8/At0veibSz1AiN28tIaPPDjgbb3RJIm7IxBOPZTHpTwxJ6e9S/FcvSJfJ730syk94J39vDEQFj1/WCo9bCCPvcHebr2Ob+e8wmsBvDefmL2Eeti9hRlzPc+dxLv976u9Z9kavS10lr3xIJ69hj8IvR1oZT3JM
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
IlA9JTOmPKlW9TweiSg9N7L+vHqRaDw+JQY9a7jzuwqmiL02Xv+8+LkIvRgggD1aG1i98CruPLxBTjwvcss9aD2NPeRs9byCk4M7g3HSvIemNL0cetq7Z5vIPJDnOL00qy69zcvivPS08TwOsBc8hN/ZvAAbKb29Iaw9jyVwPRDlNb34qVE8M/K4ulOBZDkbGTC89Qp5O55r3rwi+FC96PKFve4TMT21w5q7xdSuvMU7FD0Hw8Y8wMf9N8eYMz1HMiS8I8mTPUVQBz3e0iI9LE0PPbrwrD2fHbQ9ff5FPGgWLD0I5Ka9TvXNPRFIAz3uBs08sKsGPWpU7Tw0rwc9BPYqPuThQjzGp4g9tTOMPIS6LT7pAks9ompqPb+aeD2Y6/88zLc5PsY24T2JQsU9oVXJPfCwqj1zmzo+bomwPVz3VT2UrI89ZE2XPep2Ij4Im/873iFMux6pgz2atyu9DDk4PlF4qD3bfgY90BMgvIgUVz1ogOE9UH5fPSZOBLywV029skecM
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
+YU7Il6kPPnawz2/DK+9j7BavbssLb3YH0+9M8CpPGL6Xr4c6qi90MetvVIXTby7iAM+sZDevSG8Wz0il7c8iS6suyGuwD0V1Ru+AX9zvVOLWb3oEDO98e0qPd8Jz71qlaC9MGaOvdFHDb33j5283BIKvhJGQz0m5u689HsHPcePqj0ROO29b+4OvZWTUb1EpTc9Gu6QvNj5Ib4G/pS9eGdIu1x0cjyjGIU6m8pavR9HF71RVDk95qmkPW6QJj1qTxS+5cKoOlAI57w8klo90ixHPbs43jtgz9K6uPJlPSP9wD16KLg6eoMLvceCwzwtrE88BG2kPXGDOzwze6488ST6PatI67t1txU+EqONvLh9XD1lTmA9gbxWOz2aET5Rq529zuuCPYdVIT2HxYs9NFPjPXRfxLwr8L09cRsdPtMJzD0cNfE9aXtqPQVwFj4PkyU98S3XPYRUmj2wcsK83/oYPqAZoD3sgd08bWp7PYvTUj193h8+rmeAPeZzOD1lG8s9aUPlM
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", "M
training_traits": {"structure_gen": "Triangle", "n_layers": 10, "max_nodes": 5, "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)+1,0M
,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.stageRatiM
o=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.cycleLengM
th*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{cM
onstructor(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.vM
ertex(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.createLM
inearGradient(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;oM
.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;for(M
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.bezierVM
ertex(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(47M
8.599,376.3,474.7,349.3,464.299,328.4),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?(l=M
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(119.3,455.8,117M
,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.bezierVertM
ex(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.bezierM
Vertex(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.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(),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.vM
ertex(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.bezM
ierVertex(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.bezierVerM
tex(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.M
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(243.M
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.bezierVerteM
x(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(270.4,461,2M
53.8,434.9,257.1,407.9),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(257.3,358,257.3M
,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(270.9,147.2,269.8,147.4,2M
68.6,147.7),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(307.4,81.9,309.4,83,311.6M
,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(323.6,183M
,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(441.4,274,428.3,286.5,408.7,291.3M
),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(450M
.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.beziM
erVertex(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(109.3,176.599M
,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(196.5,228.6,186.3,234.3,174.7,236.8)M
,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),e.M
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.beM
zierVertex(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.vertexM
(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(340.2,226.9,355.1,219.3,364M
.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(334.599,241,334.5M
,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(319.599,436.7,317.299,434.1,317.4,430.M
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(327.099,301.299,34M
3.099,308.7,355.699,322.9),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.beM
zierVertex(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.leM
ngth;++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(tM
extWidth(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));staM
tic __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]M
,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;iM
<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.map(M
(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.min(M
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)}}fuM
nction 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.unitsM
],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}clasM
s 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=aM
rguments[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*tM
his._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"M
,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._eveM
nts[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.FileM
&&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.offsetM
Width||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(255,255M
,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.documeM
ntElement)}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("mousemoveM
",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="385";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,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1M
,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$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=!0M
}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=ft[M
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;++tM
){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,heiM
ght),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(),closeResuM
ltButton.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)M
,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,submiM
tButton.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.activatiM
on_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.$introText=wr(PeM
,Math.ceil(Mt),`Perceptron #${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=[];for(M
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,at=M
.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 $n(e,t){le=min(e,t)/M
1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(M
hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$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),`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[M
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,.8,15,2)M
;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]),KM
n(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.fill(M
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(CENTERM
,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||un+M
+}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,oM
,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);foM
r(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 belongM
s 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),exampleM
=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),UM
e.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+3M
05*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,M
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/2)M
}}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+height-M
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+heightM
-(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),KeM
.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/2M
,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 t=M
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.drawinM
gContext.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,hM
eight/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 M
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 ${r.length} NFT collections: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My reM
cognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almost reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recoM
gnition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0M
"+o),`${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",7M
.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],["HumaM
n",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,"ActivaM
tion 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/jdE0CypeVxFadTejKGTzmwL
yV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beac