BitcoinStrings.com

File: blk04992.txt
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jtrait_typejBACKGROUNDevaluejBackground
jtrait_typedBASEevaluehWolf Pup
jtrait_typedEYESevaluemPrivate Patch
jtrait_typedNECKevalueiBTC Chain
jtrait_typeeMOUTHevaluedPipeR
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jtrait_typejBACKGROUNDevaluejBackground
jtrait_typedBASEevalueiShiba Inu
jtrait_typefOUTFITevaluenLeather Jacket
jtrait_typedEYESevalueqThug Life Glasses
jtrait_typeeMOUTHevaluedPipeR
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jtrait_typejBACKGROUNDevaluejBackground
jtrait_typedBASEevalueoGerman Shepherd
jtrait_typefOUTFITevaluejTurtleneck
jtrait_typedHEADevalueqKarate Headband G
jtrait_typedNECKevaluehDog TagsR
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DjB0xa642646f1f34b672b5141c4cbbdb95b47321825567571bbbbfef25aeb36c9daf3
DjB0x2e8cc72b0e7e7ba86bef2aba879690449a754af8fc90805697bdfd83ec1cfdcc3
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// returns inputs and outputs of tx
// powered by scure-btc-signer (inscribed by github.com/TheWizardsOfOrd/Elements, thanks @lifofifo !)
export const decodeTx = async (txid) => {
        console.log('no txid')
        const txHex = await fetchTxHex(txid);
        return decodeTxHex(txHex)
    } catch (error) {
        console.log('error decoding tx!')
const start = async () => {
    async function loadScript() {
            const response = await fetch('/content/39990020855d5bd14b35f8ada3c6059e0b008f6ebb673a883c1e4891b5368c74i0');
            let scriptContent = await response.text();
            scriptContent = scriptContent.replace(
                /var\s+scureBtcSigner\s*=\s*\(\s*\(\s*\)\s*=>/,
                'window.scureBtcSigner = (() =>'
            eval(scriptContent);
        } catch (error) {
            console.error('Error fetching script:', error);
export function hexToBytes(hex) {
        const bytes = new Uint8Array(hex.length / 2);
        for (let i = 0; i < hex.length; i += 2) {
            bytes[i / 2] = parseInt(hex.slice(i, i + 2), 16);
        return bytes;
    } catch (error) {
        throw new Error('Invalid hex string');
export function bytesToHex(bytes) {
    return Array.from(bytes)
        .map(b => b.toString(16).padStart(2, '0'))
export function getAddressFromScript(scrM
    const decoded = scureBtcSigner.OutScript.decode(script);
    return scureBtcSigner.Address(scureBtcSigner.NETWORK).encode(decoded);
export function decodeTxHex(txHex) {
    const txBytes = hexToBytes(txHex);
    const tx = scureBtcSigner.Transaction.fromRaw(txBytes);
        inputs: tx.inputs.map(input => ({
            txid: bytesToHex(input.txid),
            index: input.index
        outputs: tx.outputs.map(output => ({
            address: getAddressFromScript(output.scM
            amount: output.amount
export async function fetchTxHex(txid) {
    const response = await fetch(`/r/tx/${txid}`);
    if (!response.ok) {
        throw new Error('Failed to fetch transaction');
    return await response.json();
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9{"p":"brc-20","op":"transfer","tick":"MT-J","amt":"1000"}h!
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>{"p":"brc-20","op":"mint","tick":"AMADO","amt":"12212.080066"}h!
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B{"p":"brc-20","op":"mint","tick":"
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@{"p":"brc-20","op":"mint","tick":"m
sk","amt":"2777777777.777"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
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8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
6j4J4f:to:USDT(TRON):TRdMgrkb7dm8EACgy9B4gWKVmghxmXTLeU
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8{"p":"brc-20","op":"transfer","tick":"beat","amt":"200"}h!
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8{"p":"brc-20","op":"transfer","tick":"pizza","amt":"90"}h!
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9{"p":"brc-20","op":"transfer","tick":"ATMC","amt":"1500"}h!
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@{"p":"brc-20","op":"transfer","tick":"
","amt":"10000000000"}h!
LjJ=:e:0x20664f7199cf80D73Ae52DDDcdFf000DEfa61B06:4095300197/1/0:-_/bgw:20/30
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={"p":"brc-20","op":"transfer","tick":"RSK  ","amt":"2500000"}h!
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;{"p":"brc-20","op":"transfer","tick":"aiGCM","amt":"16000"}h!
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;{"p":"brc-20","op":"transfer","tick":"aiGCM","amt":"16000"}h!
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:{"p":"brc-20","op":"transfer","tick":"OROK","amt":"10000"}h!
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9{"p":"brc-20","op":"transfer","tick":"dapp","amt":"1000"}h!
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<{"p":"brc-20","op":"transfer","tick":"piin","amt":"3023000"}h!
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9{"p":"brc-20","op":"transfer","tick":"fifa","amt":"1650"}h!
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?{"p":"brc-20","op":"transfer","tick":"
","amt":"3858546669"}h!
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;{"p":"brc-20","op":"transfer","tick":"aiGCM","amt":"32000"}h!
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@{"p":"brc-20","op":"transfer","tick":"
","amt":"10000000000"}h!
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@{"p":"brc-20","op":"transfer","tick":"
","amt":"10000000000"}h!
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?{"p":"brc-20","op":"transfer","tick":"
","amt":"9999999999"}h!
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B{"p":"brc-20","op":"transfer","tick":"
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Rh/Foundry USA Pool #dropgold/
SjLP=:BSC.USDT:0xD35EfD17DdB7c4374F60A31b73bA2bd676752935:2019745849809/1/0:-_/t:5/0H
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>>> stake + yield 7.5% /daily
6j43Qd:to:USDT(TRON):TAFJ77tnNmEfq47kbidBb9nfPPnWCLs9ar
FjD=:ETH.ETH:0xe7DcE16822a190CA1d75De3D145FcbF914fC6719:0/1/0:zengo:200
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8{"p":"brc-20","op":"transfer","tick":"ATMC","amt":"900"}h!
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8{"p":"brc-20","op":"transfer","tick":"dapp","amt":"500"}h!
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:{"p":"brc-20","op":"transfer","tick":" ELON","amt":"5000"}h!
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{"p":"tap","op":"token-transfer","tick":"dmt-nat","amt":"9811945513","dta":"{\"op\":\"deposit\",\"addr\":\"13adf2c9b6e6673e1dc27e9dbdf6944618369ad500b3de7247a6c97397c4c4a2\"}"}h!
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;{"p":"brc-20","op":"transfer","tick":" UBI","amt":"100000"}h!
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;{"p":"brc-20","op":"transfer","tick":" UBI","amt":"100000"}h!
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B{"p":"brc-20","op":"transfer","tick":"
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?{"p":"brc-20","op":"transfer","tick":"
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;{"p":"brc-20","op":"transfer","tick":" UBI","amt":"100000"}h!
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B{"p":"brc-20","op":"transfer","tick":"
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9{"p":"brc-20","op":"transfer","tick":"FIBA","amt":"4500"}h!
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B{"p":"brc-20","op":"transfer","tick":"
 ","amt":"100000000000"}h!
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;{"p":"brc-20","op":"transfer","tick":"FOOF","amt":"407082"}h!
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B{"p":"brc-20","op":"transfer","tick":"
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DjB0x7341a0e92cc01560ff89da7cac0a46c05ba0550f0a67097551c6aae87e9e49eb
text/html;charset=utf-8S
  <meta charset="UTF-8" />
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    /* Great Vibes Regular */
      font-family: 'Great Vibes';
      font-style: normal;
      font-weight: 400;
      src: url(data:font/woff2;base64,d09GMgABAAAAAAZkABIAAAAAeUQAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAABPUy8yAAABCAAAAGAAAABgDxTRONCw==) format('woff2');
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  <title>La poesia</title>
  <div class="poem">
      Mi scrivi qualcosa che non esiste?<br>
      mi chiedesti un giorno d
      e nella mia testa<br>
      nacquero finestre.<br><br>
 parole come muri,<br>
 occhi stretti a chiudere il cielo.<br><br>
      a scriverti<br>
    LO  quando cade<br>
      e nessuno la guarda.
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6{"p":"brc-20","op":"mint","tick":"
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B{"p":"brc-20","op":"transfer","tick":"NCash","amt":"210000000000"}h!
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B{"p":"brc-20","op":"transfer","tick":"UCash","amt":"210000000000"}h!
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B{"p":"brc-20","op":"transfer","tick":"MCash","amt":"210000000000"}h!
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B{"p":"brc-20","op":"transfer","tick":"VCash","amt":"210000000000"}h!
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B{"p":"brc-20","op":"transfer","tick":"SCash","amt":"210000000000"}h!
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B{"p":"brc-20","op":"transfer","tick":"OCash","amt":"210000000000"}h!
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// Module identifier: INSCRIPTIONS
// Inscription command functionality for Termina
// Export as default to register properly
  name: "INSCRIPTION",
  description: "Retrieve and display inscription information with various output options.",
  usage: "INSCRIPTION <id> [CONTENT|UNDELEGATED CONTENT|INFO|METADATA|PARENTS|CHILDREN|field] OR <id> [options]",
  details: `INSCRIPTION <id> : display inscription content with appropriate viewer (same as CONTENT)
INSCRIPTION <id> CONTENT : display inscriptM
ion content with appropriate viewer
INSCRIPTION <id> UNDELEGATED CONTENT : display undelegated content from /r/undelegated-content/ endpoint
INSCRIPTION <id> INFO : get basic inscription information
INSCRIPTION <id> METADATA : get inscription metadata if available
INSCRIPTION <id> PARENTS [page|ALL] : list parent inscriptions (supports pagination)
INSCRIPTION <id> CHILDREN [page|ALL] : list child inscriptions (supports pagination)
INSCRIPTION <id> <field> : get specific field value (case-insensitive, spaces allowM
OR use direct inscription ID format:
<id> : display inscription content with appropriate viewer
<id> CONTENT : display inscription content with appropriate viewer
<id> INFO : get basic inscription information
Available fields (case-insensitive, spaces allowed):
id, number, address, charms, content type, content length, delegate,
fee, height, output, sat, satpoint, timestamp, value
INSCRIPTION 6fb976ab49dcec017f1e201e84395983204ae1a7c2abf7ced0a85d692e442799i0
6fb976ab49dcec017f1e201e84395983204ae1aM
7c2abf7ced0a85d692e442799i0
6fb976ab49dcec017f1e201e84395983204ae1a7c2abf7ced0a85d692e442799i0 INFO`,
  // Main handler function
  handler: async function(args, context) {
    const { appendToConsole, setIsProcessing, displayHtmlContent, escapeHtml } = context;
    // Provide fallback for cacheInscriptionData if not available
    const cacheInscriptionData = context.cacheInscriptionData || function() {};
    if (args.length === 0) {
      appendToConsole("Please specify an inscription ID. Type HELP INSCRIPTIM
ON for options.", "error");
    setIsProcessing(true);
      // Smart detection: check if first argument is an inscription ID
      const inscriptionIdPattern = /^[a-f0-9]{64}i\d+$/i;
      let inscriptionId, restArgs;
      if (inscriptionIdPattern.test(args[0])) {
        // Direct inscription ID format: <id> [options]
        inscriptionId = args[0];
        restArgs = args.slice(1);
        // Traditional format: INSCRIPTION was already consumed, so M
args[0] should be the ID
        inscriptionId = args[0];
        restArgs = args.slice(1);
      // Check if we're doing a field query - direct field name as restArgs[0]
      const isQuery = restArgs.length > 0 && !["CONTENT", "UNDELEGATED", "INFO", "METADATA", "PARENTS", "PARENT", "CHILDREN", "SIBLINGS", "TREE", "QUERY", "BALANCE"].includes(restArgs[0].toUpperCase());
      // If restArgs[0] is "QUERY", then restArgs[1] is the field name
      const explicitQuery = restArgs.length > 1 && rM
estArgs[0].toUpperCase() === "QUERY";
      const fieldQuery = isQuery ? restArgs[0] : (explicitQuery ? restArgs[1] : null);
      // If this is a query, handle it differently
      if ((isQuery || explicitQuery) && fieldQuery) {
        await this.handleFieldQuery(inscriptionId, fieldQuery, { appendToConsole, cacheInscriptionData });
      // If not a query, proceed with traditional subcommands
      let subcommand = args.length > 1 && !isQuery ? args[1].toUpperCase() : "CONTEM
      // Handle multi-word commands like "undelegated content"
      if (subcommand === "UNDELEGATED" && args.length > 2 && args[2].toUpperCase() === "CONTENT") {
        subcommand = "UNDELEGATED_CONTENT";
      switch (subcommand) {
        case "CONTENT":
          await this.handleContent(inscriptionId, { appendToConsole, cacheInscriptionData, displayHtmlContent, escapeHtml });
        case "UNDELEGATED_CONTENT":
          await this.handleUndeleM
gatedContent(inscriptionId, { appendToConsole, cacheInscriptionData, displayHtmlContent, escapeHtml });
        case "INFO":
          await this.handleInfo(inscriptionId, { appendToConsole });
        case "METADATA":
          await this.handleMetadata(inscriptionId, { appendToConsole });
        case "PARENTS":
          const parentPage = args.length > 2 ? args[2] : null;
          await this.handleParents(inscriptionId, { appenM
dToConsole }, parentPage);
        case "CHILDREN":
          const childPage = args.length > 2 ? args[2] : null;
          await this.handleChildren(inscriptionId, { appendToConsole }, childPage);
          // Handle direct field queries (e.g., INSCRIPTION id hash, INSCRIPTION id number)
          await this.handleFieldQuery(inscriptionId, subcommand, { appendToConsole, cacheInscriptionData });
      appendToConsole(`Error processing inscription command: ${error instanceof Error ? error.message : "Unknown error"}`, "error");
      setIsProcessing(false);
  // Handle field queries
  handleFieldQuery: async function(inscriptionId, fieldQuery, context) {
    const { appendToConsole, cacheInscriptionData } = context;
    // Create field mapping for case-insensitive queries based on actual API response
    const fieldMap = {
      'number': 'number',
   'address': 'address',
      'charms': 'charms',
      'content type': 'content_type',
      'contenttype': 'content_type',
      'content_type': 'content_type',
      'content length': 'content_length',
      'contentlength': 'content_length',
      'content_length': 'content_length',
      'delegate': 'delegate',
      'height': 'height',
      'output': 'output',
      'satpoint': 'satpoint',
      'timestamp': 'timestamp',
      'value': 'value'
    const normalizedField = fieldQuery.toLowerCase().replace(/[_\s]+/g, ' ').trim();
    const actualField = fieldMap[normalizedField] || fieldMap[normalizedField.replace(/\s/g, '')];
    appendToConsole(`Querying inscription field: ${normalizedField}`, "system");
    // Get inscription info
    const url = `/r/inscription/${inscriptionId}`;
    const response = await fetch(url);
    if (!response.ok) {
      appendToConsole(`Error: Server responded with status ${response.status}`, "M
    const data = await response.json();
    // Get the field value
    const fieldValue = actualField ? data[actualField] : data[fieldQuery];
    if (fieldValue !== undefined) {
      // Store content_type in cache if that's what was requested
      if (fieldQuery.toLowerCase() === "content_type" && typeof fieldValue === "string") {
        console.log(`Storing content type "${fieldValue}" for inscription ${inscriptionId} in cache`);
        cacheInscriptionData(inscriptiM
onId, { contentType: fieldValue });
      // Store content in cache if that's what was requested
      else if (fieldQuery.toLowerCase() === "content" && typeof fieldValue === "string") {
        const truncatedContent = fieldValue.length > 30 ?
          `${fieldValue.substring(0, 30)}...` : fieldValue;
        console.log(`Storing content "${truncatedContent}" for inscription ${inscriptionId} in cache`);
        cacheInscriptionData(inscriptionId, { content: fieldValue });
different field types appropriately
      if (typeof fieldValue === 'object' && fieldValue !== null) {
        // If it's an object or array, display as JSON
        appendToConsole(`${fieldQuery}: ${JSON.stringify(fieldValue, null, 2)}`, "json");
      } else if (fieldQuery === "timestamp" && !isNaN(Number(fieldValue))) {
        // Special handling for timestamps - convert Unix timestamp to local date/time
        const timestamp = Number(fieldValue);
        const date = new Date(timestamp * 1000); // Convert seM
conds to milliseconds
        const localDateTime = date.toLocaleString(); // Format using system locale
        appendToConsole(`${fieldQuery}: ${fieldValue} (${localDateTime})`, "success");
        // For other primitive values, display directly
        appendToConsole(`${normalizedField}: ${fieldValue}`, "success");
      appendToConsole(`Error: Field '${normalizedField}' not found in inscription data.`, "error");
      appendToConsole("Available fields: id, number, address, cM
harms, content type, content length, delegate, fee, height, output, sat, satpoint, timestamp, value", "system");
  // Handle CONTENT subcommand
  handleContent: async function(inscriptionId, context) {
    const { appendToConsole, cacheInscriptionData, displayHtmlContent, escapeHtml } = context;
    appendToConsole(`Fetching content for inscription: ${inscriptionId}`, "system");
      // First, get the content type by querying the inscription info
      const infoUrl = `/r/inscriptM
ion/${inscriptionId}`;
      const response = await fetch(infoUrl);
      if (!response.ok) {
        appendToConsole(`Error fetching inscription info: Server responded with status ${response.status}`, "error");
      const data = await response.json();
      let contentType = data.content_type;
      // If content type is null, check if this is a delegate inscription
      if (!contentType || contentType === null) {
        const delegate = data.delegate;
          appendToConsole(`Content type is null, checking delegate: ${delegate}`, "system");
          // Fetch delegate inscription info to get its content type
            const delegateResponse = await fetch(`/r/inscription/${delegate}`);
            if (delegateResponse.ok) {
              const delegateData = await delegateResponse.json();
              contentType = delegateData.content_type || "text/plain";
              appendToConsole(`Using delegate content type: ${conM
tentType}`, "success");
            } else {
              appendToConsole(`Warning: Could not fetch delegate info, using default content type`, "error");
              contentType = "text/plain";
          } catch (delegateError) {
            appendToConsole(`Error fetching delegate info: ${delegateError.message}`, "error");
            contentType = "text/plain";
          contentType = "text/plain";
      // Construct content URL using recursivM
      const contentUrl = `/content/${inscriptionId}`;
      appendToConsole(`Content type: ${contentType}`, "success");
      appendToConsole(`Content URL: ${contentUrl}`, "default");
      // Fetch and display the actual content
      await this.fetchAndDisplayContent(contentUrl, contentType, inscriptionId, { appendToConsole, cacheInscriptionData, displayHtmlContent, escapeHtml });
    } catch (error) {
      appendToConsole(`Error fetching content info: ${error instanceof Error ? M
error.message : "Unknown error"}`, "error");
  // Handle UNDELEGATED CONTENT subcommand
  handleUndelegatedContent: async function(inscriptionId, context) {
    const { appendToConsole, cacheInscriptionData, displayHtmlContent, escapeHtml } = context;
    appendToConsole(`Fetching undelegated content for inscription: ${inscriptionId}`, "system");
      // First, get the content type by querying the inscription info
      const infoUrl = `/r/inscription/${inscriptionId}`;
 const response = await fetch(infoUrl);
      if (!response.ok) {
        appendToConsole(`Error fetching inscription info: Server responded with status ${response.status}`, "error");
      const data = await response.json();
      let contentType = data.content_type;
      // If content type is null, check if this is a delegate inscription
      if (!contentType || contentType === null) {
        const delegate = data.delegate;
        if (delegate) {
          appendToConsoleM
(`Content type is null, checking delegate: ${delegate}`, "system");
          // Fetch delegate inscription info to get its content type
            const delegateResponse = await fetch(`/r/inscription/${delegate}`);
            if (delegateResponse.ok) {
              const delegateData = await delegateResponse.json();
              contentType = delegateData.content_type || "text/plain";
              appendToConsole(`Using delegate content type: ${contentType}`, "success");
              appendToConsole(`Warning: Could not fetch delegate info, using default content type`, "error");
              contentType = "text/plain";
          } catch (delegateError) {
            appendToConsole(`Error fetching delegate info: ${delegateError.message}`, "error");
            contentType = "text/plain";
          contentType = "text/plain";
      // Construct undelegated content URL using recursive endpoints
 contentUrl = `/r/undelegated-content/${inscriptionId}`;
      appendToConsole(`Content type: ${contentType}`, "success");
      appendToConsole(`Undelegated content URL: ${contentUrl}`, "default");
      // Fetch and display the actual undelegated content
      await this.fetchAndDisplayContent(contentUrl, contentType, inscriptionId, { appendToConsole, cacheInscriptionData, displayHtmlContent, escapeHtml });
    } catch (error) {
      appendToConsole(`Error fetching undelegated content info: M
${error instanceof Error ? error.message : "Unknown error"}`, "error");
  // Handle INFO subcommand
  handleInfo: async function(inscriptionId, context) {
    const { appendToConsole } = context;
    const url = `/r/inscription/${inscriptionId}`;
      const response = await fetch(url);
      if (response.ok) {
        const data = await response.json();
        appendToConsole("Inscription Info:", "success");
        appendToConsole(JSON.stringify(data, null, 2), "json");
        appendToConsole(`Error: Server responded with status ${response.status}`, "error");
    } catch (error) {
      appendToConsole(`Error fetching inscription info: ${error instanceof Error ? error.message : "Unknown error"}`, "error");
  // Handle METADATA subcommand
  handleMetadata: async function(inscriptionId, context) {
    const { appendToConsole } = context;
      // Try using metadata endpoint
      const url = `/r/metadata/${inscriptionId}`;
      appendToConsole(`FM
etching metadata from: ${url}`, "default");
      const response = await fetch(url);
      if (response.ok) {
        // First try to get metadata as JSON
        const text = await response.text();
        if (!text || text.trim() === "") {
          appendToConsole("METADATA: No metadata available for this inscription", "system");
          appendToConsole("METADATA (Raw CBOR):", "success");
            // Try to parse as JSON first
            const jsonData = JSON.parse(tM
            // Check if the parsed JSON is actually a hex string (CBOR data)
            if (typeof jsonData === 'string' && /^[0-9a-fA-F]+$/.test(jsonData) && jsonData.length > 10) {
              // This looks like CBOR hex data
              appendToConsole(jsonData, "default");
              // Check if CBOR module is available
              if (typeof installedCommands !== 'undefined' && installedCommands['CBOR']) {
                try {
                  // Use CBOR module toM
                  const cborModule = installedCommands['CBOR'];
                  const buffer = cborModule.hexToArrayBuffer(jsonData);
                  const decoded = cborModule.decode(buffer);
                  appendToConsole("METADATA (Decoded JSON):", "success");
                  appendToConsole(JSON.stringify(decoded, null, 2), "json");
                } catch (error) {
                  appendToConsole(`CBOR decoding error: ${error.message}`, "error");
              } else {
                appendToConsole("Install CBOR module to decode metadata: INSTALL CBOR", "system");
            } else {
              // Regular JSON data
              appendToConsole(JSON.stringify(jsonData, null, 2), "json");
          } catch (parseError) {
            // If not JSON, display the raw text
            appendToConsole(text, "default");
            appendToConsole("Install CBOR module to decode metadata: INSTALL CBOR", "system");
        appendToConsole("METADATA: No metadata available for this inscription", "system");
    } catch (error) {
      appendToConsole(`Error fetching METADATA: ${error instanceof Error ? error.message : "Unknown error"}`, "error");
  // Handle PARENTS subcommand
  handleParents: async function(inscriptionId, context, pageParam) {
    const { appendToConsole } = context;
      if (pageParam && pageParam.toUpperCase() === "ALL") {
        // Fetch all parentM
        appendToConsole("Fetching all parent inscriptions...", "system");
        let allParents = [];
        let page = 0;
        let hasMore = true;
        while (hasMore) {
          const url = page === 0 ? `/r/parents/${inscriptionId}` : `/r/parents/${inscriptionId}/${page}`;
          const response = await fetch(url);
          if (response.ok) {
            const parentsData = await response.json();
            if (parentsData && parentsData.ids && parentsData.ids.lM
              allParents = allParents.concat(parentsData.ids);
              hasMore = parentsData.more === true;
              page++;
              appendToConsole(`Fetched page ${page - 1}: ${parentsData.ids.length} parents`, "system");
            } else {
              hasMore = false;
            appendToConsole(`Error fetching page ${page}: ${response.status}`, "error");
            hasMore = false;
        if (allParents.length > 0M
          appendToConsole(`All parent inscriptions (${allParents.length} total):`, "success");
          allParents.forEach((parent, index) => {
            appendToConsole(`${index + 1}. ${parent}`, "default");
          appendToConsole("No parent inscriptions found.", "system");
        // Fetch specific page or default (page 0)
        const page = pageParam && !isNaN(pageParam) ? parseInt(pageParam) : 0;
        const url = page > 0 ? `/r/parents/${insM
criptionId}/${page}` : `/r/parents/${inscriptionId}`;
        const response = await fetch(url);
        if (response.ok) {
          const parentsData = await response.json();
          if (parentsData && parentsData.ids && parentsData.ids.length > 0) {
            const pageInfo = page > 0 ? ` (page ${page})` : "";
            appendToConsole(`Parent inscriptions${pageInfo} (${parentsData.ids.length}):`, "success");
            parentsData.ids.forEach((parent, index) => {
              const displayIndexM
 = (page * 100) + index + 1;
              appendToConsole(`${displayIndex}. ${parent}`, "default");
            if (parentsData.more === true) {
              appendToConsole(`More parents available on page ${page + 1}. Use: INSCRIPTION ${inscriptionId} PARENTS ${page + 1}`, "system");
              appendToConsole(`Or use: INSCRIPTION ${inscriptionId} PARENTS ALL to fetch all parents`, "system");
            appendToConsole("No parent inscriptions founM
          appendToConsole(`Error fetching parents: Server responded with status ${response.status}`, "error");
    } catch (error) {
      appendToConsole(`Error fetching parent inscriptions: ${error instanceof Error ? error.message : "Unknown error"}`, "error");
  // Handle CHILDREN subcommand
  handleChildren: async function(inscriptionId, context, pageParam) {
    const { appendToConsole } = context;
      if (pageParam && M
pageParam.toUpperCase() === "ALL") {
        // Fetch all children across all pages
        appendToConsole("Fetching all child inscriptions...", "system");
        let allChildren = [];
        let page = 0;
        let hasMore = true;
        while (hasMore) {
          const url = page === 0 ? `/r/children/${inscriptionId}` : `/r/children/${inscriptionId}/${page}`;
          const response = await fetch(url);
          if (response.ok) {
            const childrenData = await response.json();M
            if (childrenData && childrenData.ids && childrenData.ids.length > 0) {
              allChildren = allChildren.concat(childrenData.ids);
              hasMore = childrenData.more === true;
              page++;
              appendToConsole(`Fetched page ${page - 1}: ${childrenData.ids.length} children`, "system");
            } else {
              hasMore = false;
            appendToConsole(`Error fetching page ${page}: ${response.status}`, "error");
        if (allChildren.length > 0) {
          appendToConsole(`All child inscriptions (${allChildren.length} total):`, "success");
          allChildren.forEach((child, index) => {
            appendToConsole(`${index + 1}. ${child}`, "default");
          appendToConsole("No child inscriptions found.", "system");
        // Fetch specific page or default (page 0)
        const page = pageParam && !isNaN(pageParam)M
 ? parseInt(pageParam) : 0;
        const url = page > 0 ? `/r/children/${inscriptionId}/${page}` : `/r/children/${inscriptionId}`;
        const response = await fetch(url);
        if (response.ok) {
          const childrenData = await response.json();
          if (childrenData && childrenData.ids && childrenData.ids.length > 0) {
            const pageInfo = page > 0 ? ` (page ${page})` : "";
            appendToConsole(`Child inscriptions${pageInfo} (${childrenData.ids.length}):`, "successM
            childrenData.ids.forEach((child, index) => {
              const displayIndex = (page * 100) + index + 1;
              appendToConsole(`${displayIndex}. ${child}`, "default");
            if (childrenData.more === true) {
              appendToConsole(`More children available on page ${page + 1}. Use: INSCRIPTION ${inscriptionId} CHILDREN ${page + 1}`, "system");
              appendToConsole(`Or use: INSCRIPTION ${inscriptionId} CHILDREN ALL to fetch all children`, "syM
            appendToConsole("No child inscriptions found.", "system");
          appendToConsole(`Error fetching children: Server responded with status ${response.status}`, "error");
    } catch (error) {
      appendToConsole(`Error fetching child inscriptions: ${error instanceof Error ? error.message : "Unknown error"}`, "error");
  // Fetch and display content with proper error handling
  fetchAndDisplayContent:M
 async function(contentUrl, contentType, inscriptionId, context) {
    const { appendToConsole, cacheInscriptionData, displayHtmlContent } = context;
    // Escape HTML function
    const escapeHtml = (text) => {
      const div = document.createElement('div');
      div.textContent = text;
      return div.innerHTML;
      // Handle text-based content types by fetching and displaying directly
      if (contentType.startsWith("text/") || contentType === "application/json" || contentType =M
== "application/javascript" || contentType === "application/xml") {
        const contentResponse = await fetch(contentUrl);
        if (!contentResponse.ok) {
          appendToConsole(`Error fetching content: ${contentResponse.status}`, "error");
        const textContent = await contentResponse.text();
        // Cache the content
        cacheInscriptionData(inscriptionId, {
          content: textContent,
          contentType
y based on content type
        if (contentType === "text/html" || contentType.startsWith("text/html;")) {
          appendToConsole("Content (HTML):", "success");
          // Create unique ID for this HTML content
          const htmlId = `html-${Date.now()}-${Math.random().toString(36).substr(2, 9)}`;
          appendToConsole(`<div style="margin:15px 0;">
            <div style="margin:0;">
              <button onclick="
                // Lazy load iframe when rendered is clicked
nst iframe = document.getElementById('${htmlId}-iframe');
                if (!iframe.src || iframe.src === 'about:blank') {
                  iframe.src = '${contentUrl}';
                document.getElementById('${htmlId}-rendered').style.display='block';
                document.getElementById('${htmlId}-raw').style.display='none';
                this.style.background='#4CAF50';
                this.nextElementSibling.style.background='#333';
              " style="background:#333; color:whM
ite; border:none; padding:5px 10px; margin-right:0px; cursor:pointer; border-radius:3px 0 0 0; border-right:1px solid #666;">Rendered</button>
              <button onclick="document.getElementById('${htmlId}-rendered').style.display='none'; document.getElementById('${htmlId}-raw').style.display='block'; this.style.background='#4CAF50'; this.previousElementSibling.style.background='#333';" style="background:#4CAF50; color:white; border:none; padding:5px 10px; cursor:pointer; border-radius:0 3px 0 0;">Raw</button>
            <div id="${htmlId}-rendered" style="display:none; margin:0;">
              <iframe
                id="${htmlId}-iframe"
                src="about:blank"
                style="width:100%; height:400px; border:1px solid #ddd; border-top:none; background:white;"
                sandbox="allow-same-origin allow-scripts allow-forms allow-popups allow-popups-to-escape-sandbox"
                title="HTML Content">
              </iframe>
            <div id="${htmlIdM
}-raw" style="display:block; margin:0;">
              <pre style="white-space:pre-wrap; word-break:break-word; background:#1a1a1a; color:#ff6b6b; padding:15px; border-radius:0 0 4px 4px; border:1px solid #333; border-top:none; font-family:monospace; max-height:400px; overflow:auto;">${escapeHtml(this.formatHtml(textContent))}</pre>
          </div>`, "html");
        } else if (contentType === "application/json") {
          appendToConsole("Content (JSON):", "success");
    const formatted = JSON.stringify(JSON.parse(textContent), null, 2);
            appendToConsole(`<pre style="white-space:pre-wrap; word-break:break-word; background:#1a1a1a; color:#0f0; padding:15px; border-radius:4px; margin:15px 0; border:1px solid #333; font-family:monospace; max-height:400px; overflow:auto;">${escapeHtml(formatted)}</pre>`, "html");
            appendToConsole(`<pre style="white-space:pre-wrap; word-break:break-word; background:#1a1a1a; color:#0f0; padding:15px; border-rM
adius:4px; margin:15px 0; border:1px solid #333; font-family:monospace; max-height:400px; overflow:auto;">${escapeHtml(textContent)}</pre>`, "html");
        } else if (contentType === "application/javascript" || contentType === "text/javascript") {
          appendToConsole("Content (JavaScript):", "success");
          appendToConsole(`<pre style="white-space:pre-wrap; word-break:break-word; background:#1a1a1a; color:#4CAF50; padding:15px; border-radius:4px; margin:15px 0; border:1px solid #333; font-M
family:monospace; max-height:400px; overflow:auto;">${escapeHtml(this.formatJavaScript(textContent))}</pre>`, "html");
        } else if (contentType === "text/css") {
          appendToConsole("Content (CSS):", "success");
          appendToConsole(`<pre style="white-space:pre-wrap; word-break:break-word; background:#1a1a1a; color:#87CEEB; padding:15px; border-radius:4px; margin:15px 0; border:1px solid #333; font-family:monospace; max-height:400px; overflow:auto;">${escapeHtml(this.formatCSS(textContent))}</pre>`M
        } else if (contentType === "application/xml") {
          appendToConsole("Content (XML):", "success");
          appendToConsole(`<pre style="white-space:pre-wrap; word-break:break-word; background:#1a1a1a; color:#FFA500; padding:15px; border-radius:4px; margin:15px 0; border:1px solid #333; font-family:monospace; max-height:400px; overflow:auto;">${escapeHtml(textContent)}</pre>`, "html");
        } else if (contentType.startsWith("text/")) {
          appendToConsole("Content (Text):", "succesM
          appendToConsole(`<pre style="white-space:pre-wrap; word-break:break-word; background:#1a1a1a; color:#0f0; padding:15px; border-radius:4px; margin:15px 0; border:1px solid #333; font-family:monospace; max-height:400px; overflow:auto;">${escapeHtml(textContent)}</pre>`, "html");
          appendToConsole("Content:", "success");
          appendToConsole(`<pre style="white-space:pre-wrap; word-break:break-word; background:#1a1a1a; color:#0f0; padding:15px; border-radius:4px; margin:15pxM
 0; border:1px solid #333; font-family:monospace; max-height:400px; overflow:auto;">${escapeHtml(textContent)}</pre>`, "html");
      // Handle media and binary content types
      if (contentType === "image/jpeg" || contentType === "image/png" || contentType === "image/gif" ||
          contentType === "image/svg+xml" || contentType === "image/apng" || contentType.startsWith("image/")) {
        appendToConsole("Content (Image):", "success");
        appendToConsoM
le(`<img src="${contentUrl}" style="max-width:100%; max-height:500px; display:block; margin:15px 0; border:1px solid #ddd;" onerror="this.style.display='none'; this.nextElementSibling.style.display='block';" />
        <div style="display:none; padding:15px; background:#ffeeee; border:1px solid #ffaaaa; color:#cc0000; margin:15px 0;">Failed to load image.</div>`, "html");
      } else if (contentType === "audio/mpeg" || contentType === "audio/ogg" || contentType === "audio/wav" ||
                 contentType === M
"audio/flac" || contentType.startsWith("audio/")) {
        appendToConsole("Content (Audio):", "success");
        appendToConsole(`<audio controls src="${contentUrl}" style="width:100%; margin:15px 0;">Your browser does not support this audio format.</audio>`, "html");
      } else if (contentType === "video/mp4" || contentType === "video/ogg" || contentType === "video/webm" ||
                 contentType === "video/quicktime" || contentType.startsWith("video/")) {
        appendToConsole("Content (Video):", "sM
        appendToConsole(`<video controls src="${contentUrl}" style="width:100%; max-height:500px; margin:15px 0;">Your browser does not support this video format.</video>`, "html");
      } else if (contentType === "application/pdf") {
        appendToConsole("Content (PDF):", "success");
        appendToConsole(`<iframe src="${contentUrl}" style="width:100%; height:500px; border:1px solid #ddd; margin:15px 0;"></iframe>`, "html");
      } else if (contentType === "application/zip") {
        appendToConsM
ole("Content (ZIP Archive):", "success");
        appendToConsole(`<div style="padding:15px; background:#1a1a1a; border:1px solid #333; margin:15px 0; color:#0f0;">
 ZIP Archive - Cannot be displayed directly<br>
          Content-Type: ${contentType}<br>
          Use external tools to extract and view contents.
        </div>`, "html");
      } else if (contentType === "application/vnd.ms-excel" ||
                 contentType === "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet")M
        appendToConsole("Content (Spreadsheet):", "success");
        appendToConsole(`<div style="padding:15px; background:#1a1a1a; border:1px solid #333; margin:15px 0; color:#0f0;">
 Spreadsheet Document<br>
          Content-Type: ${contentType}<br>
          Use spreadsheet applications to view this content.
        </div>`, "html");
      } else if (contentType === "application/octet-stream") {
        appendToConsole("Content (Binary Data):", "success");
        appendToConsole(`<div style="M
padding:15px; background:#1a1a1a; border:1px solid #333; margin:15px 0; color:#0f0;">
          Content-Type: ${contentType}<br>
          Binary content cannot be displayed directly.
        </div>`, "html");
        // For unknown types, show information
        appendToConsole(`Content (${contentType}):`, "success");
        appendToConsole(`<div style="padding:15px; background:#1a1a1a; border:1px solid #333; margin:15px 0; color:#0f0;">
          Content-Type: ${contentType}<br>
          This content type is not directly supported for display.
        </div>`, "html");
    } catch (error) {
      appendToConsole(`Error fetching content: ${error instanceof Error ? error.message : "Unknown error"}`, "error");
  // Display content with appropriate handler
  displayContent: async function(contentUrl, contentType, inscriptionId, context) {
    const { appendToConsole, cacheInscriptionData, displayHtmlContent, escaM
    // List of content types we can handle
    const safeContentTypes = [
      "text/html", "text/plain", "application/json",
      "image/png", "image/jpeg", "image/gif", "image/svg+xml", "image/webp",
      "audio/mpeg", "audio/wav", "audio/webm",
      "video/mp4", "video/webm", "video/ogg",
      "application/pdf",
      "model/gltf-binary", "model/gltf+json",
      "application/javascript"
    // Check if this is a content type we can handle
    const isSafeContent = saM
feContentTypes.some(type => contentType.startsWith(type));
    if (isSafeContent) {
      // Display content using the appropriate handler
      if (contentType.startsWith("text/html")) {
        // Use our dedicated HTML handler function
        await displayHtmlContent(contentUrl);
      // Handle text content types (plain text, JSON, etc.)
      else if (contentType.startsWith("text/") || contentType === "application/json") {
          // Fetch the text content
          const textContM
entResponse = await fetch(contentUrl);
          if (textContentResponse.ok) {
            const textContent = await textContentResponse.text();
            // Cache the content for future use
            cacheInscriptionData(inscriptionId, {
              content: textContent,
              contentType
            appendToConsole(`<pre style="white-space:pre-wrap; word-break:break-word; background:white; color:black; padding:15px; border-radius:4px; margin:15px 0; border:1M
px solid #ddd;">${escapeHtml(textContent)}</pre>`, "html");
            appendToConsole(`Error fetching text content: ${textContentResponse.status}`, "error");
            appendToConsole(`<a href="${contentUrl}" target="_blank" style="color:#4CAF50;">View text content directly</a>`, "html");
        } catch (error) {
          appendToConsole(`Error fetching text content: ${error instanceof Error ? error.message : "Unknown error"}`, "error");
          appendToConsole(`<a href="${conM
tentUrl}" target="_blank" style="color:#4CAF50;">View text content directly</a>`, "html");
      // Handle media and other content with appropriate HTML elements
        let contentHtml = '';
        // Create appropriate HTML for the content type
        if (contentType.startsWith("image/")) {
          contentHtml = `<img src="${contentUrl}" style="max-width:100%; max-height:500px; display:block; margin:15px 0;" />`;
        } else if (contentType.startsWith("audio/")) {
        contentHtml = `<audio controls src="${contentUrl}" style="width:100%; margin:15px 0;"></audio>`;
        } else if (contentType.startsWith("video/")) {
          contentHtml = `<video controls src="${contentUrl}" style="width:100%; max-height:500px; margin:15px 0;"></video>`;
        } else if (contentType === "application/pdf") {
          contentHtml = `<iframe src="${contentUrl}" style="width:100%; height:500px; border:1px solid #ddd; margin:15px 0; background-color: white; color: black;"></iframe>`;
     } else if (contentType.startsWith("model/")) {
          contentHtml = `<div style="margin:15px 0;">3D models cannot be displayed directly. <a href="${contentUrl}" target="_blank" style="color:#4CAF50;">View 3D model directly</a></div>`;
          // For any other types, provide an iframe
          contentHtml = `<iframe src="${contentUrl}" style="width:100%; height:500px; border:1px solid #ddd; margin:15px 0; background-color: white; color: black;"></iframe>`;
        appendToConsole(contentHtml, "html");
      // For non-safe content types, just provide a link
      appendToConsole(`Content type ${contentType} cannot be displayed directly.`, "system");
      appendToConsole(`<a href="${contentUrl}" target="_blank" style="color:#4CAF50;">View content in new tab</a>`, "html");
  // Format HTML with basic indentation
  formatHtml: function(html) {
    let formatted = html;
    const indentSize = 2;
    // Add line breaks after certain tags
    formatted = formatted.replace(/></g, '>\n<');
    formatted = formatted.replace(/^\s+|\s+$/g, '');
    const lines = formatted.split('\n');
    const result = [];
    for (let line of lines) {
      line = line.trim();
      if (!line) continue;
      // Decrease indent for closing tags
      if (line.startsWith('</')) {
        indent = Math.max(0, indent - indentSize);
      result.push(' '.repeat(indent) + line);
rease indent for opening tags (but not self-closing)
      if (line.startsWith('<') && !line.startsWith('</') && !line.endsWith('/>') && !line.includes('</')) {
        indent += indentSize;
    return result.join('\n');
  // Format CSS with basic indentation
  formatCSS: function(css) {
    let formatted = css;
    // Add line breaks and basic formatting
    formatted = formatted.replace(/\{/g, ' {\n');
    formatted = formatted.replace(/\}/g, '\n}\n');
    formatted = formatted.replaM
    formatted = formatted.replace(/,/g, ',\n');
    const lines = formatted.split('\n');
    const result = [];
    for (let line of lines) {
      line = line.trim();
      if (!line) continue;
      if (line === '}') {
        indent = Math.max(0, indent - 2);
      result.push(' '.repeat(indent) + line);
      if (line.endsWith('{')) {
        indent += 2;
    return result.join('\n');
  // Format JavaScript withM
  formatJavaScript: function(js) {
    let formatted = js;
    // Add line breaks after certain characters
    formatted = formatted.replace(/\{/g, ' {\n');
    formatted = formatted.replace(/\}/g, '\n}\n');
    formatted = formatted.replace(/;/g, ';\n');
    formatted = formatted.replace(/,(\s*[^\/])/g, ',\n$1');
    const lines = formatted.split('\n');
    const result = [];
    for (let line of lines) {
      line = line.trim();
      if (!line) continue;
      if (line === '}' || line.startsWith('}')) {
        indent = Math.max(0, indent - 2);
      result.push(' '.repeat(indent) + line);
      if (line.endsWith('{')) {
        indent += 2;
    return result.join('\n');
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5{"p":"brc-20","op":"mint","tick":"RABT","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"RABT","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"RABT","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"RABT","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"RABT","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"RABT","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"RABT","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"RABT","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"RABT","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"mayl","amt":"1000"}h!
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9{"p":"brc-20","op":"transfer","tick":"TRUM","amt":"6200"}h!
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:{"p":"brc-20","op":"transfer","tick":"Pnda","amt":"10000"}h!
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
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8{"p":"brc-20","op":"transfer","tick":"SocFi","amt":"40"}h!
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8{"p":"brc-20","op":"transfer","tick":"7fei","amt":"500"}h!
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4{"p":"brc-20","op":"mint","tick":"NDXT","amt":"101"}h!
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8{"p":"brc-20","op":"transfer","tick":"fifa","amt":"100"}h!
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5{"p":"brc-20","op":"mint","tick":"mayl","amt":"1000"}h!
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9{"p":"brc-20","op":"transfer","tick":"TRUM","amt":"3800"}h!
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"TRUM","amt":"3500"}h!
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5{"p":"brc-20","op":"mint","tick":"mayl","amt":"1000"}h!
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
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={"p":"brc-20","op":"transfer","tick":" UBI","amt":"85000000"}h!
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
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:{"p":"brc-20","op":"transfer","tick":"MBH ","amt":"24000"}h!
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
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5{"p":"brc-20","op":"mint","tick":"mayl","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/plain;charset=utf-8
@{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"12850000000"}h!
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4{"p":"brc-20","op":"mint","tick":"NDXT","amt":"101"}h!
text/plain;charset=utf-8
7{"p":"brc-20","op":"transfer","tick":"Fifa","amt":"70"}h!
text/plain;charset=utf-8
C{"p":"brc-20","op":"transfer","tick":"
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text/plain;charset=utf-8
7{"p":"brc-20","op":"transfer","tick":"beat","amt":"40"}h!
text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"dnaw","amt":"2700"}h!
text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"nfty","amt":"5000"}h!
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"mayl","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"mayl","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"RABT","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"mayl","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/plain;charset=utf-8
@{"p":"brc-20","op":"transfer","tick":"
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text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"mayl","amt":"1000"}h!
text/plain;charset=utf-8
8{"p":"brc-20","op":"transfer","tick":"beat","amt":"100"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"RABT","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"RABT","amt":"1000"}h!
text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"dnaw","amt":"2700"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"mayl","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"mayl","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"mayl","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"transfer","tick":"MBHI","amt":"1"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/plain;charset=utf-8
7{"p":"brc-20","op":"transfer","tick":"fifa","amt":"52"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"mayl","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"mayl","amt":"1000"}h!
text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"TRUM","amt":"2000"}h!
text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"TRUM","amt":"6000"}h!
text/plain;charset=utf-8
8{"p":"brc-20","op":"transfer","tick":"7fei","amt":"500"}h!
text/plain;charset=utf-8
7{"p":"brc-20","op":"transfer","tick":" OSK","amt":"10"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"mayl","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"mayl","amt":"1000"}h!
text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"mayl","amt":"1000"}h!
text/plain;charset=utf-8
7{"p":"brc-20","op":"transfer","tick":" OSK","amt":"10"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/plain;charset=utf-8
A{"p":"brc-20","op":"transfer","tick":"
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text/plain;charset=utf-8
5{"p":"brc-20","op":"mint","tick":"mayl","amt":"1000"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/plain;charset=utf-8
;{"p":"brc-20","op":"transfer","tick":" UBI","amt":"100000"}h!
text/plain;charset=utf-8
7{"p":"brc-20","op":"transfer","tick":" OSK","amt":"10"}h!
text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"WDSA","amt":"4900"}h!
text/plain;charset=utf-8
B{"p":"brc-20","op":"transfer","tick":"
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text/plain;charset=utf-8
8{"p":"brc-20","op":"transfer","tick":"fifa","amt":"100"}h!
text/plain;charset=utf-8
4{"p":"brc-20","op":"mint","tick":"NDXT","amt":"101"}h!
text/plain;charset=utf-8
6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/plain;charset=utf-8
?{"p":"brc-20","op":"transfer","tick":"AiLB","amt":"3019570000"}h!
import("/content/d795ba6cf2ea7d4ed9c159e498ba2c9ad4295d8ea257fb1ee88e9244c016adc2i0")
.then(ob1 => ob1.ob1Scribe("H4sIAFSlUmgAA41VbW/TMBD+Kx3ig495Ia1UhAgeGiDYpA1NG+JF08Sy5NpaS53KduhGl//O2W6SZusEX1r7fL577p7HlwLtYKplLhQuByfpgmdYFOfyD4oRT5U14uIymVQqs7JUA4O2WjBYZRpTix9S9Ts1bClVXi6/y9zOeFgfopzOLPCJTud4Rp7sVQw88+5RqbJSWby1c1SVYCD2d4bJpNTMIUERJ/j2Ff3s7sIqWHRZqZzplCLP2d7S5Xk5etnApJR9AwC3D+7MPJ7NS48sAImrNlpUZsZcKw6UZcgt3xkC1HXbgVynS2rAdZrdTEOS0XhMGSmVKVylazhtBuhqG5STgUsCGFWL3DlD4uJ9pvYz6OcItnUH1tQ0kS4sl5cUy9EWobJaoM
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4{"p":"brc-20","op":"mint","tick":"NDXT","amt":"101"}h!
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5{"p":"brc-20","op":"mint","tick":"mayl","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"RABT","amt":"1000"}h!
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// Module identifier: CORE
// Core functionality for Termina
let installedCommands = {};
let isProcessing = false;
let commandHistory = [];
let historyIndex = -1;
let currentFocus = "";
const consoleElement = document.getElementById("console");
const commandInput = document.getElementById("commandInput");
const fileInput = document.getElementById("fileInput");
const promptElement = document.getElementById("prompt");
// Console functions
function appendToConsole(text, type = "defauM
    const entry = document.createElement("div");
    entry.className = `entry ${type}`;
    // Handle HTML content for the "html" type
    if (type === "html") {
        entry.innerHTML = text;
        entry.textContent = text;
    consoleElement.appendChild(entry);
    consoleElement.scrollTop = consoleElement.scrollHeight;
function setProcessing(processing) {
    isProcessing = processing;
    if (processing) {
        appendToConsole("Processing...", "system");
function initializeTermina() {
    appendToConsole(
        "Termina initialized. Type HELP for available commands.",
    // Execute startup sequence if defined
    const startupSequence =
        document.documentElement.getAttribute("data-startup");
    if (startupSequence) {
        const commands = startupSequence
            .split(",")
            .map((cmd) => cmd.trim())
            .filter((cmd) => cmd);
        executeStartupSequence(commands);
async function executeStartupSequence(commands) {
    if (commands.length === 0) return;
    appendToConsole("Executing startup sequence...", "system");
    for (const command of commands) {
        appendToConsole(`Startup: ${command}`, "system");
        await executeCommand(command);
        // Small delay between commands
        await new Promise((resolve) => setTimeout(resolve, 100));
    appendToConsole("Startup sequence completed.", "success");
        description: "Display current time and date.",
        usage: "TIME",
        details: "Shows the current system time and date",
        handler: async function (args) {
            const now = new Date();
            appendToConsole(`Current time: ${now.toLocaleString()}`, "system");
        description: "Clear the console output",
        usage: "CLEAR",
        details: "Removes all previous console entries and starts fresh",
        handler: async function (args)M
            // Clear the console by removing all entries from the DOM
            consoleElement.innerHTML = "";
            appendToConsole("Console cleared", "system");
        description: "Install a modular command.",
        usage: "INSTALL FILE | INSTALL <inscription_id> | INSTALL <sat_number> | INSTALL <inscription_id> CHILDREN SATS",
            "Downloads and installs a command module from file upload, inscription ID, latest inscription on a sat, or chiM
ldren inscriptions on their sats.",
        handler: async function (args) {
            if (args.length === 0) {
                appendToConsole(
                    "Usage: INSTALL FILE | INSTALL <inscription_id> | INSTALL <sat_number> | INSTALL <inscription_id> CHILDREN SATS",
                    "error",
                appendToConsole("Examples:", "system");
                appendToConsole("  INSTALL FILE", "system");
                appendToConsole(
                    "  INSTALL 93ec661cbbM
ce62357d5e3d803a2adf7361b5ef0f707d7dfee559d78a3b44ae9bi0",
                    "system",
                appendToConsole("  INSTALL 1234567890", "system");
                appendToConsole(
                    "  INSTALL 7679dcff0ec3ac4752e6342f6e7480cc65b181abfe91a89191646e6332af38adi0 CHILDREN SATS",
                    "system",
                return;
            const target = args[0];
            if (target.toUpperCase() === "FILE") {
                appendM
                    "Select a .js command file to upload:",
                    "system",
                fileInput.click();
                return;
            // Check for CHILDREN SATS command
            if (args.length >= 3 && args[1].toUpperCase() === "CHILDREN" && args[2].toUpperCase() === "SATS") {
                await handleInstallChildrenSats(target);
                return;
            // Check if it's an inscription ID
            if (target.lM
ength >= 64 && target.endsWith("i0")) {
                await handleInstallFromInscription(target);
                return;
            // Check if it's a sat number (numeric)
            if (/^\d+$/.test(target)) {
                await handleInstallFromSat(target);
                return;
            appendToConsole(
                "Error: Invalid argument. Use INSTALL FILE, INSTALL <inscription_id>, INSTALL <sat_number>, or INSTALL <inscription_id> CHILDREN SATS",
        description: "Show all currently installed commands.",
        usage: "INSTALLED",
            "Lists all modular commands that have been installed in this session.",
        handler: async function (args) {
            const installedList = Object.keys(installedCommands);
            if (installedList.length === 0) {
                appendToConsole(
                    "No modular commands currently installed.",
                   M
                appendToConsole(
                    "Use INSTALL <command> to install commands.",
                    "system",
                return;
            appendToConsole("Currently installed commands:", "system");
            installedList.forEach((cmd) => {
                const command = installedCommands[cmd];
                appendToConsole(`${cmd} - ${command.description}`, "default");
            appendToConsole(
          `Total: ${installedList.length} commands installed`,
                "success",
// Install from inscription
async function handleInstallFromInscription(inscriptionId) {
    appendToConsole(
        `Installing command from inscription: ${inscriptionId}`,
    setProcessing(true);
        const response = await fetch(`/content/${inscriptionId}`);
        if (!response.ok) {
            appendToConsole(
                `Error: Could notM
 fetch inscription content (${response.status})`,
                "error",
        const content = await response.text();
        installCommandFromContent(content, `inscription:${inscriptionId}`);
    } catch (error) {
        appendToConsole(`Error fetching inscription: ${error}`, "error");
        setProcessing(false);
// Install from sat (latest inscription on sat)
async function handleInstallFromSat(satNumber) {
    appendToConsole(
 `Installing command from latest inscription on sat: ${satNumber}`,
    setProcessing(true);
        const response = await fetch(`/r/sat/${satNumber}/at/-1/content`);
        if (!response.ok) {
            appendToConsole(
                `Error: Could not fetch latest inscription content on sat (${response.status})`,
                "error",
        const content = await response.text();
        installCommandFromContent(content, `M
    } catch (error) {
        appendToConsole(`Error fetching sat inscription: ${error}`, "error");
        setProcessing(false);
// Install from file
async function handleInstallFromFile(filename) {
    setProcessing(true);
        const response = await fetch(filename);
        if (!response.ok) {
            appendToConsole(
                `Failed to fetch ${filename}: ${response.status}`,
                "error",
        const content = await response.text();
        installCommandFromContent(content, filename);
    } catch (error) {
        appendToConsole(`Error fetching file: ${error}`, "error");
        setProcessing(false);
// Install from children sats - uses existing INSCRIPTION command functionality
async function handleInstallChildrenSats(inscriptionId) {
    appendToConsole(
        `Installing commands from children inscriptions on their sats for: ${inscriptionId}`,
    setProcessing(true);
        // Step 1: Use existing INSCRIPTION command to get children
        appendToConsole("Step 1: Getting children inscriptions using INSCRIPTION command...", "system");
        if (!installedCommands['INSCRIPTION']) {
            appendToConsole("Error: INSCRIPTION command not available. Install INSCRIPTIONS module first.", "error");
        // Create a custom context to capture children data
        let childrenData = [];
  const captureContext = {
            appendToConsole: (text, type) => {
                // Capture child inscription IDs from the output
                if (typeof text === 'string' && text.includes('.')) {
                    const match = text.match(/\d+\.\s+([a-f0-9]{64}i\d+)/);
                    if (match) {
                        childrenData.push(match[1]);
                    }
                // Also pass through to console
                appendToConsole(text, type);
           setIsProcessing: setProcessing,
            getCurrentFocus: () => currentFocus,
            setCurrentFocus: (focus) => { currentFocus = focus; },
            displayHtmlContent: (content, url) => {
                const entry = document.createElement('div');
                entry.className = 'entry html';
                entry.innerHTML = content;
                consoleElement.appendChild(entry);
                consoleElement.scrollTop = consoleElement.scrollHeight;
            escapeHM
                const div = document.createElement('div');
                div.textContent = text;
                return div.innerHTML;
        // Call the INSCRIPTION command to get children
        await installedCommands['INSCRIPTION'].handler([inscriptionId, 'CHILDREN'], captureContext);
        if (childrenData.length === 0) {
            appendToConsole("No children found for this inscription", "system");
dToConsole(`\nStep 2: Processing ${childrenData.length} children for sat installation...`, "system");
        // Step 2: Process each child - get their sat and install latest content
        for (let i = 0; i < childrenData.length; i++) {
            const childId = childrenData[i];
            appendToConsole(`\nProcessing child ${i + 1}/${childrenData.length}: ${childId}`, "system");
                // Step 2a: Get sat number using INSCRIPTION command
                appendM
ToConsole(`Getting sat number for: ${childId}`, "system");
                // Create context to capture sat number
                let satNumber = null;
                const satContext = {
                    appendToConsole: (text, type) => {
                        // Capture sat number from the output
                        if (typeof text === 'string' && text.toLowerCase().includes('sat:')) {
                            const match = text.match(/sat:\s*(\d+)/i);
                            ifM
                                satNumber = match[1];
                            }
                        }
                        appendToConsole(text, type);
                    },
                    setIsProcessing: setProcessing,
                    getCurrentFocus: () => currentFocus,
                    setCurrentFocus: (focus) => { currentFocus = focus; },
                    displayHtmlContent: (content, url) => {
                        const entry = document.createElement('div');
              entry.className = 'entry html';
                        entry.innerHTML = content;
                        consoleElement.appendChild(entry);
                        consoleElement.scrollTop = consoleElement.scrollHeight;
                    },
                    escapeHtml: (text) => {
                        const div = document.createElement('div');
                        div.textContent = text;
                        return div.innerHTML;
                    }
  // Get sat number using INSCRIPTION command
                await installedCommands['INSCRIPTION'].handler([childId, 'sat'], satContext);
                if (!satNumber) {
                    appendToConsole(`Error: No sat number found for ${childId}`, "error");
                    continue;
                appendToConsole(`Sat number: ${satNumber}`, "success");
                // Step 2b: Install latest inscription on sat using existing INSTALLM
                appendToConsole(`Installing latest command from sat ${satNumber}...`, "system");
                await handleInstallFromSat(satNumber);
            } catch (error) {
                appendToConsole(`Error processing child ${childId}: ${error.message}`, "error");
        appendToConsole(`\nCompleted processing all ${childrenData.length} children inscriptions`, "success");
    } catch (error) {
        appendToConsole(`Error in childrM
en sats installation: ${error.message}`, "error");
        setProcessing(false);
// Install command from content
function installCommandFromContent(content, filename) {
        // Create evaluation environment
        const exports = {};
        const module = { exports: exports };
        // Wrap content to capture exports
        const wrappedContent = `
            (function() {
                const exports = {};
                const module = { exports: exports };
                return exports.default || module.exports.default || exports;
        const commandModule = eval(wrappedContent);
        // Handle both single command objects and arrays of commands
        const commandsToInstall = Array.isArray(commandModule) ? commandModule : [commandModule];
        let installedCount = 0;
        for (const command of commandsToInstall) {
            if (!command || !command.name || !command.handler) {
     appendToConsole(
                    `Error: Invalid command module in ${filename}`,
                    "error",
                appendToConsole(
                    "Module must export a default object with 'name' and 'handler' properties",
                    "error",
                continue;
            const commandName = command.name.toUpperCase();
            // Create wrapped handler with context
            const wrappedHandler = async function (hM
andlerArgs, providedContext) {
                const context = providedContext || {
                    appendToConsole,
                    setIsProcessing: setProcessing,
                    getCurrentFocus: () => currentFocus,
                    setCurrentFocus: (focus) => {
                        currentFocus = focus;
                    },
                    displayHtmlContent: (content, url) => {
                        const entry = document.createElement('div');
                        entry.className = M
                        entry.innerHTML = content;
                        consoleElement.appendChild(entry);
                        consoleElement.scrollTop = consoleElement.scrollHeight;
                    },
                    escapeHtml: (text) => {
                        const div = document.createElement('div');
                        div.textContent = text;
                        return div.innerHTML;
                    }
                await command.handler(handlerAM
            // Install the command
            installedCommands[commandName] = {
                ...command,
                handler: wrappedHandler,
            installedCount++;
        if (installedCount === 1) {
            const moduleName = commandsToInstall[0].name || "module";
            appendToConsole(
                `Successfully installed command: ${commandsToInstall[0].name.toUpperCase()} from ${moduleName} module`,
        } else if (installedCount > 1) {
            const commandNames = commandsToInstall.map(cmd => cmd.name.toUpperCase()).join(', ');
            appendToConsole(
                `Successfully installed ${installedCount} commands: ${commandNames} from module`,
                "success",
    } catch (error) {
        appendToConsole(
            `Error installing command from ${filename}: ${error}`,
            "error",
// File upload handM
fileInput.addEventListener("change", function (event) {
    const file = event.target.files[0];
    if (!file) return;
    if (!file.name.endsWith(".js")) {
        appendToConsole("Error: Only .js files are supported", "error");
    const reader = new FileReader();
    reader.onload = function (e) {
        const content = e.target.result;
        installCommandFromContent(content, file.name);
    reader.readAsText(file);
    // Reset file input
    fileInput.value = "";
 Execute command programmatically
async function executeCommand(commandString) {
    const trimmed = commandString.trim();
    if (!trimmed) return;
    appendToConsole(`> ${trimmed}`, "input");
    const parts = trimmed.split(/\s+/);
    const command = parts[0];
    const commandUpper = command.toUpperCase();
    const args = parts.slice(1);
    // Combine built-in and installed commands
    const allCommands = { ...commands, ...installedCommands };
    // Execute command
    if (allCommands[commandUpper]) {
            await allCommands[commandUpper].handler(args);
        } catch (error) {
            appendToConsole(`Error executing command: ${error}`, "error");
        // Check if this looks like an inscription ID and route to INSCRIPTION handler
        const inscriptionIdPattern = /^[a-f0-9]{64}i\d+$/i;
        if (inscriptionIdPattern.test(command) && allCommands['INSCRIPTION']) {
                const context = {
                    appendToConsole,
             setIsProcessing: setProcessing,
                    getCurrentFocus: () => currentFocus,
                    setCurrentFocus: (focus) => { currentFocus = focus; },
                    displayHtmlContent: (content, url) => {
                        const entry = document.createElement('div');
                        entry.className = 'entry html';
                        entry.innerHTML = content;
                        consoleElement.appendChild(entry);
                        consoleElement.scrollTopM
 = consoleElement.scrollHeight;
                    },
                    escapeHtml: (text) => {
                        const div = document.createElement('div');
                        div.textContent = text;
                        return div.innerHTML;
                    }
                await allCommands['INSCRIPTION'].handler([command, ...args], context);
            } catch (error) {
                appendToConsole(`Error executing inscription command: ${error}`, "error");
            appendToConsole(
                `Unknown command: ${command}. Type HELP for available commands.`,
                "error",
// Command processing
async function processCommand(input) {
    const trimmed = input.trim();
    if (!trimmed) return;
    appendToConsole(`> ${trimmed}`, "input");
    const parts = trimmed.split(/\s+/);
    const command = parts[0];
    const commandUpper = command.toUpperCase();
    const args = parts.slice(1);
/ Test inscription ID pattern immediately
    const inscriptionIdPattern = /^[a-f0-9]{64}i\d+$/i;
    const isInscriptionId = inscriptionIdPattern.test(command);
    // Add to history
    commandHistory.push(trimmed);
    historyIndex = commandHistory.length;
    // Check installed commands first, then built-in
    const allCommands = { ...commands, ...installedCommands };
    if (commandUpper === "HELP") {
        if (args.length === 0) {
            appendToConsole("Type HELP <command> for detailed usage", "M
            appendToConsole("Available commands:", "system");
            Object.keys(allCommands).forEach((cmd) => {
                const source = "";
                appendToConsole(
                    `${cmd} - ${allCommands[cmd].description}${source}`,
                    "system",
            const helpCmd = args[0].toUpperCase();
            const cmd = installedCommands[helpCmd] || commands[helpCmd];
            if (cmd) {
                appenM
dToConsole(`${helpCmd}:`, "system");
                appendToConsole(`Description: ${cmd.description}`, "system");
                const usage =
                    typeof cmd.usage === "function" ? cmd.usage() : cmd.usage;
                appendToConsole(`Usage: ${usage}`, "system");
                if (cmd.details) {
                    const details =
                        typeof cmd.details === "function"
                            ? cmd.details()
                            : cmd.details;
  appendToConsole(`Details:\n${details}`, "system");
            } else {
                appendToConsole(`Unknown command: ${helpCmd}`, "error");
    // Execute command
    if (allCommands[commandUpper]) {
            await allCommands[commandUpper].handler(args);
        } catch (error) {
            appendToConsole(`Error executing command: ${error}`, "error");
        // Check if this looks like an inscription M
ID and route to INSCRIPTION handler
        const inscriptionIdPattern = /^[a-f0-9]{64}i\d+$/i;
        if (inscriptionIdPattern.test(command) && allCommands['INSCRIPTION']) {
                const context = {
                    appendToConsole,
                    setIsProcessing: setProcessing,
                    getCurrentFocus: () => currentFocus,
                    setCurrentFocus: (focus) => { currentFocus = focus; },
                    displayHtmlContent: (content, url) => {
             const entry = document.createElement('div');
                        entry.className = 'entry html';
                        entry.innerHTML = content;
                        consoleElement.appendChild(entry);
                        consoleElement.scrollTop = consoleElement.scrollHeight;
                    },
                    escapeHtml: (text) => {
                        const div = document.createElement('div');
                        div.textContent = text;
                        return divM
                    }
                await allCommands['INSCRIPTION'].handler([command, ...args], context);
            } catch (error) {
                appendToConsole(`Error executing inscription command: ${error}`, "error");
            appendToConsole(
                `Unknown command: ${command}. Type HELP for available commands.`,
                "error",
commandInput.addEventListener("keydown",M
    if (event.key === "Enter") {
        if (isProcessing) return;
        processCommand(this.value);
        this.value = "";
    } else if (event.key === "ArrowUp") {
        event.preventDefault();
        if (historyIndex > 0) {
            historyIndex--;
            this.value = commandHistory[historyIndex] || "";
    } else if (event.key === "ArrowDown") {
        event.preventDefault();
        if (historyIndex < commandHistory.length - 1) {
            historyIndex++;
     this.value = commandHistory[historyIndex] || "";
            historyIndex = commandHistory.length;
            this.value = "";
// Initialize on load
window.addEventListener("load", function () {
    commandInput.focus();
    initializeTermina();
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dnamesVito Joseph MorlinogcountrybUSfregionbVAibirthDatej1936-09-22ldeceasedDatej2025-05-25mrememberForAs
<p>Vito Joseph Morlino, 88, met our Lord and Savior Jesus Christ, on May 25, 2025. Born in Portsmouth, Virginia to Angelo and Marie Morlino, he grew up the second youngest of five siblings: Lucia, Grace, Marie and his younger brother Salvatore. He was married for almost 65 years to the love of his life, Susan Mabry Morlino. He worked hard to provide for his family of five children: Angelo Morli
no (Regina), Maria Gravely, Joe Morlino (Christine), Theresa diLustro (John) and Susan Wentzel (Jim). In addition to his wife, Susan, and his children, Vito was a grandfather to thirteen wonderful grandchildren: Vito, Vincent, Rose (Chris) and Tony Morlino; Hodges (Robin) and Holland (Stephanie) Gravely; Colette, Michael (deceased) and Andrew Morlino; Frank (Jessica) and Annabelle diLustro; and Jim and Joseph Wentzel; and great-granddaughter, Aurora Gravely, along with numerous nieces, nephews and cousins.</p>
pon graduating from Saint Paul's Catholic School, he went on to graduate from Fordham University. After working for the Atomic Energy Commission in New Jersey, he returned home to Virginia to pursue his true passion: teaching. He and his wife, Susan, taught at Cradock High School together and then left to attend the University of Virginia where Vito earned his PhD in Physical Chemistry. Upon graduation, he taught at Virginia Commonwealth University and the Medical College of Virginia before once again returning to
Portsmouth to work in the public schools. He obtained his master's degree in education from the College of William and Mary and began his career in school administration, becoming Assistant Principal at IC Norcom and later Principal at Wilson High School during the peak of desegregation. Through those very challenging times, he was loved by students and faculty alike. Vito enjoyed his work in the Portsmouth schools from teacher through Director of Secondary Education, before becoming Superintendent of Isle of Wight
 County Schools, a post he held for 13 years.</p>
<p>Vito was a gifted athlete, known by many as "a heck of a ball player". He excelled in football, baseball and basketball in high school and in college intramurals. After college, if he wasn't playing in a softball league he was officiating at a football, baseball or basketball game.</p>
<p>In retirement, Vito enjoyed working on his farm: beekeeping, gardening, and raising chickens, rabbits, goats and caring for his beloved donkey, Giovanni.</p>
olic, he was always active in his local parish, singing in the choir, playing the trumpet and serving as a leader and an advisor. His devotion to his family was unwavering, and his faith was a constant source of strength.</p>
<p>The family will receive friends from 6:00 PM to 8:00 PM on Wednesday, June 4, 2025, at Bliley's Funeral Home on Augusta Ave., Richmond. A funeral mass will be held on Thursday, June 5, 2025, at 11:30 AM at St. Mary's Catholic Church, 9505 Gayton Rd, Richmond, VA 23229. A reception will foll
ow in the church community area. A burial will be held at a later date at Saint Jude Catholic Church in Louisa.</p>
<p>In lieu of flowers, please send memorial donations to Portsmouth Catholic Regional School.</p>
<p>Memories and condolences may be shared at <a href="http://www.inlyf.com">www.inlyf.com</a>.</p>
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dnamerLeonard Allen HalegcountrybUSfregionbTXibirthDatej1937-02-17ldeceasedDatej2025-05-25mrememberForAs
|<p>We are saddened to announce the passing of Leonard Allen Hale, who was born in Troup, Texas to Otis and Ruby Hale on February 17, 1937, and passed away on May 25, 2025 in Houston, Texas at the age of 88. Leonard was married to the love of his life, Mary Esther Fawvor, on April 7, 1956, celebrating their 69th anniversary this past April.</p>
<p>Leonard is survived by his wife Mary Hale, his so
ns Leonard (Kelly) Hale Jr. and Bruce (Lynn) Hale, his daughters Becky (Kurt) Johnson, Diann Madariaga, and Janice (Emil) Haddad, 13 grandchildren: Tonya (AJ) Warner, Roxanne (Gregory) Whiteman, Ashley (Luke) Barton, Nikki (Johnny) Seiter, Dixie Hale, Ben (Jessica) Pegues, Jennifer (Paul) Hoppa, Jeff Hale, Christian (Jared) Groce, Trey (Christine) Wakefield, Yousif (Dana) Haddad, Daniel (Madeline) Haddad, and Mary (Evan) Dooling, 39 Great-grandchildren, and 3 Great-great grandchildren.</p>
<p>Leonard spent his earl
y childhood in the oil fields of East Texas. He graduated from Snyder High School in 1955 and went on to attend Texas Technological College (now Texas Tech University) graduating with a Bachelor of Science in Engineering Physics in 1959. Leonard joined the U.S. Army National Guard in 1959 and received an Honorable Discharge in 1962. He continued his education during this time, earning his Master's Degree in Mechanical Engineering in 1961. Leonard earned his Doctor of Philosophy in the Mechanical Engineering Departm
ent at The University of Texas at Austin in 1964. He remained a Red Raider fan and an avid Longhorn fan even while teaching at Texas A&amp;M University from 1964 until 1981. He was so dedicated to the Longhorns that his office wall at Texas A&amp;M University adorned a picture of Bevo for several years until it was then prominently displayed in the half bath of his residence. Leonard semi-retired in 1989 and spent the next 7 years teaching Mechanical Engineering at Gonzaga University in Spokane, Washington, traveli
ng back to their lake home in Tyler for the summers. His last career move was to serve as the founding Dean of the College of Engineering at the University of Texas at Tyler (UT Tyler) from 1996 to 1999. He played a key role in establishing the engineering program at the university, and the first engineering students graduated in 1999, the same year he retired as Dean.</p>
<p>Leonard was a lifelong learner and enjoyed sharing his knowledge with others. He was a confident and dependable individual that was honest, t
rustworthy, respectful and upfront. He lived a life of integrity. In his professional life, Leonard was known for his strong work ethic, dedication and being a mentor to many Mechanical Engineering graduate students. To his family, he was known for his devotion, provision, and enlightenment seeing potential in all his children. To his close friends, he was known for his honesty, square dancing abilities and integrity.</p>
<p>Leonard's pride and joy was his large family. He spent many hours researching and compiling
 the Hale Family Genealogy records including maintaining a Genealogy Website. He and Mary planned many family reunions, 4th of July and Christmas gatherings at their home on Lake Tyler and later in Houston. His family will deeply miss his bright blue eyes, his smile when he would see you after an absence (especially the smile that he offered to his visiting grandchildren and great-grandchildren) and his devotion.</p>
<p>Leonard's memory will live on in the hearts of all who knew and loved him. His legacy continues
through his children, grandchildren, great-grandchildren, and great-great grandchildren along with all the students that he taught and mentored through the years.</p>
<p>In lieu of flowers; Leonard never donated money to any organization nor Foundation until he learned about the Tunnel to Towers Foundation. He would be very honored and proud to have you donate to this wonderful organization in his name. You can use the link below for your donation. <a href="https://dogood.t2t.org/campaign/in-memory-of-leonard-hale/
c692988">https://dogood.t2t.org/campaign/in-memory-of-leonard-hale/c692988</a></p>
<p>Memories and condolences may be shared at <a href="http://www.inlyf.com">www.inlyf.com</a>.</p>
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dnamex Elizabeth Jane "Betty" KessenichgcountrybUSibirthDatej1931-07-14ldeceasedDatej2025-05-29mrememberForAs
?<p> Elizabeth Jane "Betty" Kessenich, 93, of Middleton, Wis., passed away peacefully on May 29, 2025, surrounded by the love of her family. Born on July 14, 1931, in Cross Plains, Wis., to Herbert and Anna (Bollenbeck) Bowar, Betty lived a life filled with devotion to her faith and family.</p>
<p>A graduate of Mount Horeb High School, Betty dedicated 25 years of her career to Graber's/Sprin
gs Window Fashions, retiring in 1997. Her strong work ethic was matched only by her unwavering commitment to her faith and service. As a devoted member of St. Bernard Parish in Middleton, Betty was an active participant in the Madonna Rosary Makers. Over her lifetime, she crafted more than 2,000 rosaries, with 640 made in her final nine years, each bead a testament to her deep love for God and her desire to share His grace through prayer.</p>
<p>Betty's heart was her family. On June 6, 1951, she married the love of
 her life, Jerome "Jerry" Kessenich, in Pine Bluff, Wis. Together, they built a beautiful life for 51 years, raising seven children, Joseph (Linda), Dennis, David (Cheryl), Michael, Mary (Dale) Disch, Anna (Todd) Voelkl, and Theresa "Trish" (Paul) Trombino. Betty's legacy continues through her 11 grandchildren, Amber (Mark) Hildebrandt, Jeremy Kessenich, Allison (Chris) Ashworth, Joshua Kessenich, Kendra (Tim) Cleary, Kelsey (Joe) Berndt, Kaitlin (Tyler) Payne, Carissa (Nick) Fritz, Natasha (Jon) Gehlbach, Enzo Tro
mbino, Mila Trombino, Henry Voelkl, and Ella Voelkl; and 18 great-grandchildren, all of whom she cherished deeply.</p>
<p>Betty's love for her family shone brightest in the simple moments: baking birthday cakes for her grandchildren, babysitting with endless patience, and sharing lunches and adventures with her surviving sisters, Jeanette Ziegler, Mary Ann Connors, Ruthie (Duane) Maly; her sister-in-law, Annabelle Bowar; and the many lives she touched with her kindness and generosity. Her gardens bloomed with care,
 much like the warmth she cultivated in her home, always open to family and friends.</p>
<p>Betty was preceded in death by her beloved husband, Jerry; her parents, Herbert and Anna; her parents-in-law, John and Theresa Kessenich; her brothers, Jerome, William, and Donald Bowar; her sisters, Florentine Borrelli, Virginia Bowar, and Delores Bowar; her daughter-in-law, DeDe Kessenich; and her great-granddaughter, Rylee Payne.</p>
<p>Betty's life was a tapestry of love, faith, and service, woven with care and grace. He
r memory will live on in the rosaries she crafted, the gardens she tended, and the countless moments of joy she shared with those she held dear.</p>
<p>A Mass of Christian Burial will be held at ST. BERNARD CATHOLIC CHURCH, 7450 University Ave., Middleton, at 11 a.m. on Thursday, June 12, 2025. A visitation will be held at the church from 9 a.m. until the time of the Mass on Thursday.</p>
<p>In lieu of flowers, the family requests memorials be made to the Madonna Rosary Makers in Betty's honor.</p>
 in the eternal embrace of God's love.</p>
<p>Memories and condolences may be shared at <a href="http://www.inlyf.com">www.inlyf.com</a>.</p>
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dnamex% Sherwood Eugene "Pete" Peterson, Sr.gcountrybUSfregionbMNibirthDatej1940-10-17ldeceasedDatej2025-05-23mrememberForAs
<p>A life well lived came to a peaceful close. Sherwood Eugene "Pete" Peterson, Sr., 84, of rural Baker, MN, passed away in an afternoon nap on Friday, May 23, 2025, at Eventide Nursing Home, Moorhead, MN. A family man, a proud farmer, and a larger than life personality.</p>
<p>Pete was born on October 17, 1940, to Eugene and Hope (Young) Peterson, at St. John's Hospital in F
argo, ND. He grew up on the family farm, Valley Polled Hereford Farms, outside of Baker, MN. Here he farmed with his father - raising cattle, Quarter Horses, producing certified seed grains and seed potatoes. His first job on the farm was spreading manure and weeding the potatoes with two horses. He attended District 115 country school and graduated from Moorhead High School, Class of 1957. He enlisted in the North Dakota Air National Guard from 1959 - 1965, while attending North Dakota Agricultural College where h
e graduated with a B.S. Degree in Animal Husbandry. He was united in marriage to Marilynn Alme on August 18, 1962, at Trinity Lutheran Church in Moorhead, MN.</p>
<p>In 1962, Pete and Marilynn moved to their newly created farmstead where they raised their three boys. A Century farm, the Peterson Seed Farm was a foundation, registered and certified seed grower of barley, spring wheat, soybeans and potatoes. In 1971 - Pete, along with a few other area potato growers together purchased Mainline Potato Company, Downer,
 MN from his father. Pete retired from farming prior to spring planting in 2002.</p>
<p>Pete was very active in the community and belonged to many local organizations, as a kid he was in 4-H and Future Farmers of America (FFA). During College, Alpha Gamma Rho (AGR) Fraternity, Saddle &amp; Sirloin Club, Rahjah Club, Blue Key Member. As an adult, Glyndon Lions Club, Elmwood Cemetery Board, Glyndon Boy Scouts, Big Cormorant Lake Association, and the Clay County Historical Society Board.</p>
<p>As a farmer, Pete conti
nued to play a very active role in the community and as the years went by, his list of achievements was abundant. Those achievements included the 1976 MN Outstanding Young Farmer Award, the 1978 King Agassiz Award from the Red River Winter Show in Crookston, MN, the 1991 Minnesota Crop Improvement Association (MCIA) Premier Seedsman Award, and the 2011 Achievement in Crop Improvement Award (MCIA).</p>
<p>Pete also belonged to many farming organizations and boards and was influential in the national, state, and loca
l farming culture. Those organizations included being a part of the National Potato Promotion Board, Area One Potato Research and Promotion Council, Red River Valley Potato Growers Association, MN Agricultural Utilization Research Institute (AURI) Advisory Committee , MN Soybean Association, MN Association of Wheat Growers and the MN Barley Research and Promotion Council Minnesota Crop Improvement Association, Clay County Crop Improvement Association, Advisory Board for the University</p>
<p>of MN, Crookston, MN, N
orthern Crops Institute council member, Northwest Farm Manager Group, Agassiz Club, Advisory Board for the Buffalo - Red River Watershed District.</p>
<p>He belonged to many local church groups, including the Baker/Downer Presbyterian Church, Glyndon Lutheran Church, and Trinity Lutheran Church in Moorhead.</p>
<p>Pete and Marilynn enjoyed traveling and made it to all 50 States in their time together, the first trip was a honeymoon drive to the 1962 Seattle World's Fair. Pete loved watching Westerns and driving aro
und looking at crops. He enjoyed attending all his children's events and playing an active role in their lives by attending their sporting events, Scouts, and piano recitals. He was a proud Dad of three Eagle Boy Scouts. He loved spending time with his family and friends at their lake cabin on Big Cormorant.</p>
<p>If you knew or met Pete over the years, you certainly did not forget him. He had countless stories to share and enjoyed making sure he said hello to everyone he knew or didn't know. If you were a guest a
t the lake cabin, he would not let you leave without a good game of "Trouble". He always enjoyed a friendly card or dice game at the Midway in Downer and Baker Elevator. Was proud to be crowned Mr. Potato Head during the annual Barnesville Potato Days in 2001. And he truly enjoyed emceeing the annual Demolition Derby at the Clay County Fair in the 70's and 80's..."Sorry car 54 - you gotta break your stick!". He did in fact blow the radio speakers out in his John Deere tractor listening to John Anderson's "Swingin'"
. He truly enjoyed living his entire life and raising his family in this area of Baker, Downer, Sabin, Glyndon and Moorhead - he didn't want to live anywhere else. Blessed.</p>
<p>He loved the fictional character - Tigger. He personified the same characteristics - enthusiasm, optimism, friendly, charismatic and outgoing. From "The Wonderful Thing About Tiggers" song --- "...their bouncy, trouncy, ouncy, pouncy - fun, fun, fun, fun, fun. But the most wonderful thing about Tiggers - is I'm the only one." Pete, certai
<p>He was a tireless promoter of the crop products he produced and encouraged the production of high-quality certified seed. Remember the letters he dug in his fields each Fall for the airplanes overhead to see on approach to Fargo, ND - "Eat Spuds", "Eat More Potatoes", "Use Soy Oil, Hardee's Does". He was a steward of the land and caretaker of the animals on the farm. He never shied away from hosting farm group visits from all over the world. He worked closely with both the NDSU and U of Minneso
ta plant breeders - taking the risk on brand new varieties before general public release.</p>
<p>Asked how he hoped to be remembered? "Wonderfully", he would say.</p>
<p>Sherwood "Pete" and his family would like to thank all the staff &amp; co-residents at Eventide Nursing Home Heritage wing during his stay. Chaplin Streed had become a very good friend of Sherwood - he certainly treasured the connection they created with each other. Pete thanks all of the farmers, neighbors, friends and strangers that he ever got t
he chance to talk and share a story with...he thrived on activity and people. He missed those that he knew - that had passed on before him...he is now with them - telling a story &amp; catching up.</p>
<p>Pete is survived by his loving wife of 62 years, Marilynn; children, Sherwood (Wendy) Peterson, Jr., Rochester, MN, Charles (Melissa) Peterson, Moorhead, MN, and John Peterson, Moorhead, MN; grandchildren, Andrew (Darby) Peterson, Farmington, MN, and Hannah Peterson, Rochester, MN; great-grandchild, Dempsey Peters
on; and many other loving relatives and friends. He is preceded in death by his parents, Eugene and Hope; and his siblings, Shirley Krzyzaniak Engebretson, Betty Walstad, and LaRue Kocourek, and infant brother James Arthur.</p>
<p>Visitation will be from 4:00 P.M. to 6:00 P.M., followed by the prayer service at 6:00 P.M., Friday, June 6, 2025, at Wright Funeral Home, Moorhead, MN. Visitation will continue from 10:00 A.M. to 11:00 A.M., followed by the Celebration of Life at 11:00 A.M., Saturday, June 7, 2025, at Tr
inity Lutheran Church, Moorhead, MN. A livestream of the service will be available here on Pete's webpage. Burial will take place at Elmwood Cemetery, Sabin, MN, following the services in Moorhead.</p>
<p>Memories and condolences may be shared at <a href="http://www.inlyf.com">www.inlyf.com</a>.</p>
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dnamevCarolyn Janet GratignygcountrybUSibirthDatej1943-07-15ldeceasedDatej2025-05-30mrememberForAs
<p>Carolyn 'Jan' Gratigny, age 81, of Fishers, passed away with family at her side on May 30, 2025. Born on July 15, 1943, in Cumberland, Maryland, she was the beloved daughter of the late Virgil and Lucille Carrico. She was preceded in death by her loving partner of 33 years, David Corbett.</p>
<p>Carolyn was truly one of a kind-a selfless and giving soul who lived with an open heart and a generous s
pirit. A trailblazer in her time, she was one of the first women to graduate from Purdue University with a degree in Business. She carried a deep love for the water, particularly the ocean, where the rhythmic sound of waves always brought her peace. Her passion for seafood-especially crab legs-was well known, often joking, "a crab for a crab."</p>
<p>Her love for music and dancing was infectious. She once won a twist contest that earned her a spot on American Bandstand, a shining moment that reflected her vivacious
 energy and enthusiasm for life. She adored hosting family gatherings, where her warmth and generosity made everyone feel at home. In quieter moments, she found joy in working on puzzles and watching game shows on GSN, always eager for the next challenge.</p>
<p>Above all, Carolyn was devoted to her family, always offering kindness, support, and unwavering love. In accordance with her wishes, she chose to forego formal services, instead requesting that her children and grandchildren visit the beach, listen to her S
potify playlist, and celebrate her life in a way that truly reflected her spirit.</p>
<p>She is survived by her loving children, Brian (Sharon) Gratigny and Terri Walsh; her cherished grandchildren, Connor, Paige, Dalton, and Avery; her brother, Norman (Lois) Carrico; her niece Pamela (David) Carrico; and she is also preceded in death by her brother Jack Ewing and niece Sandy Carrico.</p>
<p>Carolyn's legacy is one of love, generosity, and joy-a beautiful life well lived and deeply cherished.</p>
LQndolences may be shared at <a href="http://www.inlyf.com">www.inlyf.com</a>.</p>
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Lois Earlene Hannon ProctorgcountrybUSibirthDatej1925-12-07ldeceasedDatej2025-05-23mrememberForAs
<p>Earlene Hannon Proctor, 99, went to be with her Lord on Friday, May 23, 2025.</p>
<p>Born in the Hannon Family home in Worth County, GA, the eldest of eight children born to the late Johnny Calvin and Bertha Shiver Hannon.</p>
<p>After completing her schooling in Worth County, she attended Andrew College, Georgia Southern University and got her Masters Degree in Education from the University
of Georgia. Her roots in education ran far deeper than most. She started her career at Poulan Elementary School in 1944 and joined the Thomas County School System three years later at Meigs Consolidated School. She taught there until 1951 when she took a break to be a full-time housewife. In 1958, she returned to teaching at Ochlocknee Elementary School, spending one year there before returning to Meigs Elementary School. In 1969 after the consolidation of Thomas County schools, she became a member of the first sta
ff at Garrison-Pilcher Elementary School. She loved teaching the young students and made a lasting impression on so many over the years. She retired as a full-time teacher in 1985, then spent an additional nine years as a substitute.</p>
<p>As her birthday approached each year, Earlene would let everyone know that Pearl Harbor was bombed on her birthday. She was 16 years old the day of the bombing, hearing the news on the radio.</p>
<p>In 1950 she married Rion Beder Proctor, in Meigs Georgia; Rion was 43 years old
and Earlene was 24 years old. On Valentine's day 1953 their only child was born. Earlene and Rion shared 44 years together before his death in 1994.</p>
<p>In 2015, Earlene decided it was time to give up house keeping and farming. She sold the property and moved to Nashville to be close to Michael and her grandchildren. She spent the last 10 years in an assisted living community, which she dearly loved. For several years she was the ambassador for the community.</p>
<p>Family and family history was extremely import
ant to Earlene. She loved her family dearly. She helped several family members compose their family history. Earlene loved family reunions and catching up with family members.</p>
<p>She also loved the trips she was able to take most summers. She would come home with lots of pictures on slides and loved to share them over and over with family and friends.</p>
<p>Earlene is survived by her son, Rion Michael Proctor (Beth), grandchildren: Tammy Marie Sullivan, Angela Machelle Bowe (Johnny), Heather Monique Hennessee
(Kevin), Aundrea Michelle Covington; great grandchildren: Russell Allen Dunn, Robert Michael Dunn, Matthew Scott Bowe (Tasha), Hannah Leann Bowe (Taylor), Rion Eugene Hennessee . Kyla Jade Covington-Moyers; great great grandchildren Jackson Dunn, Harper Rose Dunn, and Addie Bowe. Earlene is also survived by one brother, Hermon Hannon; and one sister Gail Snipes; and many beloved nieces and nephews.</p>
<p>She was preceded in death by brothers, John Hannon and Grady Lee Hannon; and sisters, Rachel Poitevint, Marie F
ritts, and Margaret Cribb and grandson Rocky Covington.</p>
<p>Memorials may be made to a Charity of your choice. Memories and condolences may be shared at <a href="http://www.inlyf.com">www.inlyf.com</a>.</p>
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dnameoNancy M. LoierogcountrybUSfregionbMDibirthDatej1935-01-13ldeceasedDatej2025-06-02mrememberForAs
<p>Nancy Margaret (Knott) Loiero, whose boundless energy, fierce devotion to family, and legendary flair for parties lit up every room she entered, died peacefully in her home on June 2. She was 90 years old.</p>
<p>Born in Baltimore, Maryland, to Irish immigrant parents during the Great Depression, Nancy grew up in the city's historic St. John's Old 10th Ward-a vibrant enclave of Irish and Italian
 immigrants. There, she forged lifelong friendships that would become the bedrock of a rich, joy-filled life. Even in her final years, she spoke fondly of those early days, the enduring bonds, and the laughter shared with the "Good Time Girls"-a treasured group of girlfriends with whom she shared a lifetime of love, loyalty, and adventure.</p>
<p>She married her high school sweetheart, Joseph Gerard Loiero, in 1955 at St. John the Evangelist Church. Together they built a family and a life marked by service, resilie
nce, and an open-door policy for neighbors, friends, and anyone in need of a good meal or a place to laugh.</p>
<p>Nancy and Joe raised two sons-Thomas, born in 1956, and Joseph, in 1957-and in 1968, the family moved from Baltimore to Fallston, in Harford County, settling into a home that became the epicenter of their world. There, Nancy created more than just a home for her family: she nurtured a vibrant social life, hosted legendary gatherings, and doted on a rotating cast of beloved pets-dogs, cats, and even the
 occasional wild critter from her backyard, all of whom found sanctuary under her watchful care.</p>
<p>In the 1990s, she and Joe fulfilled a dream: a vacation home in Ocean City, a place that held magical memories of summers Nancy spent with her beloved Aunt Sadie. The beach house, with its bayside dock and tranquil sunsets, became a haven for family and a setting for unforgettable summer weekends filled with storytelling, laughter, big breakfasts, days spent on the beach, afternoon cheese boards and frozen margar
itas, and dinners from the grill, all set to a soundtrack of Frank Sinatra, Dean Martin (her favorite!), and Bob Marley. Occasionally, there were even times of quiet reflection - though anyone familiar with Nancy's crew knows that "quiet" is not exactly a frequent visitor to the Loiero family!</p>
<p>Though her life was filled with joy, Nancy was no stranger to hardship. Raised by a single mother, she learned early the value of thrift, work ethic, and self-reliance. Her family often teased her for the contents of h
er well-stocked (and occasionally questionably dated) freezer, a charming, yet poignant, nod to her enduring Depression-era sensibilities. Part of Nancy's lore was her brush with tuberculosis, an illness that required months of in-patient hospitalization and partial lobectomy of her lung. Despite the severity of her illness and the condition in which she was left, Nancy refused to slow down, and was active for the rest of her life, enjoying running and walking whichever family dog was in need of miles and miles of
<p>Professionally, Nancy found pride and purpose at PepsiCo, where she began as a receptionist and rose to become an indispensable Executive Assistant. Despite the busy days and long hours, Nancy always brought her characteristic cheer and warmth to work, and regarded her colleagues there not just as coworkers but as cherished friends. Her years at Pepsi remained a source of pride and joy throughout her life.</p>
<p>She loved people-and people loved her. Nancy could always be found at the heart of any
 celebration, often one of the last to leave a party, regaling her grandchildren with stories about how she'd dance the night away while Joe Sr, rarely the night owl, would leave early to go home for some peace and quiet.</p>
<p>Nancy is preceded in death by her mother, brother Thomas Knott, grandson Thomas Jr., husband Joseph, and many dear friends and neighbors from the 10th Ward. She leaves behind a legacy of love, strength, and humor that lives on in her sons, Thomas (Laura) and Joseph (Andrea); her grandchildr
en Johnny, Michael, Jason, Amanda (Chris), Joseph Jr (Sarah), Brian (Samantha), and Alexandra (Jerome); her great-grandchildren John Luke, Natalia, Christopher, Natalie, and Thor; a great big family of cousins; and of course, her sweet cat Georgie.</p>
<p>Nancy Margaret Loiero lived a life brimming with love, resilience, and laughter. Her spirit will endure in every story told at family gatherings, every dance floor where someone stays a little longer, and every home where the freezer is always full...even if some
of it is a little frostburnt and/or from a decade past. When she arrived at the Pearly Gates, there is no doubt she was met with roaring applause from the friends and loved ones who had been waiting-cocktails in hand.</p>
<p>Visitation will be on Saturday, June 7 at Evans Funeral Chapel in Forest Hill, MD from 12 to 2 pm, with service at 2:15 pm. Following the service will be a celebration of Nancy's extraordinary life: one last party in her honor, just the way she would have wanted.</p>
<p>Memories and condolences
E may be shared at <a href="http://www.inlyf.co">www.inlyf.co</a></p>
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6{"p":"brc-20","op":"transfer","tick":"mt-j","amt":"1"}h!
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6{"p":"brc-20","op":"transfer","tick":"mt-j","amt":"1"}h!
Sh/Foundry USA Pool #dropgold/
6j4Otg:to:USDT(TRON):TRdeHx2uvoXSxaN8ZDJEoitN9bV9NaAvw1
6j4Wmg:to:USDT(TRON):TLmtFkrEetNQvQx7P7proJAo8UA1Vxj8zy
6j4aca:to:USDT(TRON):TE6bn9MyWEy7GyDgUaXFskQwLFUHAjS6Cp
?j=W4T:to:USDT(ERC20):0xA13C956039aE3fDa0232094BF42225096A31a712
=j;15X:to:USDT(POL):0xe2B30Bc5543DAe8FB5ab7b203E44F63e045f5c8b
6j4Slz:to:USDT(TRON):TESYjFCRiJgjSfdrhkjDDk1k2e2m9bHiTJPb
FjDOUT:A1ACAE2AC09259D5E7E2E321E51400DBADF70D23EAD29C08BB41F2891941609B
6j4QsY:to:USDT(TRON):TXFocm95mk9QovHuWuAAokQ1HFHAsFUGnS7
:j8=:XRP.XRP:rwCXgDPu3Q9njQA3wMTYKR66qgMhjJ8eMP:0/5/0:ej:75
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IjGREFUND:2864B946568CA17E5A9876A2B2CDC9FBB86E0E9D4868B1B38C0550B2A74BF99A
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<{"p":"brc-20","op":"transfer","tick":"RSK  ","amt":"120000"}h!
CjA=:ETH.USDT:0xa31Eb77A69666b240D9c5c6527F0A7De8b5f4c27:0/1/0:g1:50
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<{"p":"brc-20","op":"transfer","tick":"RSK  ","amt":"180000"}h!
DjB0x25dc52df454cb10c87f472ea3849fa603d7d269a703c8bdfaa9f009edc240d633
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/ViaBTC/Mined by kontui/,
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/j-wry:to:TRX:TWwRU3LKXi3Y3gvZ6CRwz2znBmA8ehSjcxOe
FjDOUT:90DBD36D7986612B6D1CDA5134CCAD1D2BAF025D60BEFD26E6DE96EB47519C68
9j7qKC:to:SOL:GMwaD5VfwVczZLiJfyyNtkLRfrhQbwyWzuRMb1VnKk1A
6j4QXb:to:USDT(TRON):TFjm1UrDj7TKwujVnE3By2k5oMKyjRKGkN
;j9to:USDT(ERC20):0xB61C1853c218B6d50a27f58B8f709A0850A2523D
<j:=:e:0xa31Eb77A69666b240D9c5c6527F0A7De8b5f4c27:0/1/0:g1:50
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:{"p":"brc-20","op":"transfer","tick":"pizza","amt":"2000"}h!
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8{"p":"brc-20","op":"transfer","tick":"TRIO","amt":"490"}h!
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-{"p":"sns","op":"reg","name":"bvnvbnvb.sats"}h!
Sh| MARA Made in USA
DjB0xcd60ef570f0940d4336fb5118a84904f8f9489e491f5a111f95ea560e6174f1f3
jtrait_typejBACKGROUNDevaluejBackground
jtrait_typedBASEevalueiShiba Inu
jtrait_typefOUTFITevaluex
Robot Armor Blue & Yellow
jtrait_typeeMOUTHevaluegSteak SR
      <!DOCTYPE html>
      <html lang="en">
        <meta charset="UTF-8">
        <meta name="viewport" content="width=device-width, initial-scale=1.0">
        <title>3D Card Wrapper</title>
          body { margin: 0; overflow: hidden; }
          #card-frame { width: 100vw; height: 100vh; border: none; overflow: hidden; }
          document.addEventListener("DOMContentLoaded", () => {
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        <iframe id="card-frame" scrolling="no"></iframe>
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #2</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
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      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / natM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.mL
in(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #3</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/cc960b2dc177d0500a53230b9daf556a09dcd11b3130380817b18aefe6b10aeci0";
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        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / natM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
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          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.mL
in(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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9{"p":"brc-20","op":"transfer","tick":"ATMC","amt":"5000"}h!
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@{"p":"brc-20","op":"transfer","tick":"
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text/plain;charset=utf-8
A{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"580000000000"}h!
text/plain;charset=utf-8
A{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"480000000000"}h!
text/plain;charset=utf-8
:{"p":"brc-20","op":"transfer","tick":"Mbhl","amt":"10000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #17</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/dd84c93acacdb6d6bd421bbdcc0f00cacea97b1a12a8185faee355f996eb89f5i0";
      const canvas = document.querySelector("canvas");
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      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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A{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"480000000000"}h!
text/plain;charset=utf-8
@{"p":"brc-20","op":"transfer","tick":"
","amt":"10000000000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #4</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/a1fbac052331fec0b103fc5fce05ae6c8e1518e7c642bf17b6390c9c178e0837i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / natM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.mL
in(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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;{"p":"brc-20","op":"transfer","tick":" UBI","amt":"100000"}h!
text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"7fei","amt":"1280"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #15</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/7a043558227fbea59c1f353b90a7af2f18ef3e50e798ba5cac1de85fc0261de0i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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9{"p":"brc-20","op":"transfer","tick":"7fei","amt":"3000"}h!
text/plain;charset=utf-8
;{"p":"brc-20","op":"transfer","tick":"Mbhl","amt":"100000"}h!
text/plain;charset=utf-8
A{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"480760000000"}h!
text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"Mbhl","amt":"5000"}h!
text/plain;charset=utf-8
@{"p":"brc-20","op":"transfer","tick":"
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text/plain;charset=utf-8
?{"p":"brc-20","op":"transfer","tick":"AiLB","amt":"9500000000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #6</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/e3d7955a2108a889fb57c3874d687828e9d80af85e3bdd493e558a7076d3f1a0i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / natM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.mL
in(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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9{"p":"brc-20","op":"transfer","tick":"7fei","amt":"1580"}h!
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>{"p":"brc-20","op":"transfer","tick":"
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9{"p":"brc-20","op":"transfer","tick":"MT-J","amt":"2500"}h!
text/plain;charset=utf-8
;{"p":"brc-20","op":"transfer","tick":"Mbhl","amt":"100000"}h!
text/plain;charset=utf-8
A{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"728800000000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #11</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/882a08de6584da7032717fcb4d57ef805d90e324ab555d13ac8b07d924f28292i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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9{"p":"brc-20","op":"transfer","tick":"Mbhl","amt":"8000"}h!
text/plain;charset=utf-8
:{"p":"brc-20","op":"transfer","tick":"nyse","amt":"50000"}h!
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@{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"10080000000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #23</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/24ddaffc8e59a0d5df50d07339e2cf78bd676f5156bf642f5299d67f0cebec24i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/plain;charset=utf-8
@{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"10080000000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #25</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/fca08624f25711a2cae0a39c8cc71ba1cba8edec15bb67bd0a223d8d5da0135ai0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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9{"p":"brc-20","op":"transfer","tick":"MBHI","amt":"6000"}h!
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;{"p":"brc-20","op":"transfer","tick":" UBI","amt":"100000"}h!
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A{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"480000000000"}h!
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9{"p":"brc-20","op":"transfer","tick":"Mbhl","amt":"5000"}h!
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@{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"10080000000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #21</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/fbedbd9d56a161ad1b882e1f9896f18b3834316356b22305a98d84299fadd151i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #14</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/52a094a3f55e27ce6f7c36d76b1df31f7a9a176089cf632ff12d67d7fce085dbi0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #13</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/cdce5188ca65bfa63ec9ff1a471830c8c2205c5e7894d7a0d18f4f93628e2510i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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9{"p":"brc-20","op":"transfer","tick":"MT-J","amt":"2000"}h!
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@{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"10080000000"}h!
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:{"p":"brc-20","op":"transfer","tick":"nyse","amt":"50000"}h!
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A{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"570250000000"}h!
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A{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"654355000000"}h!
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;{"p":"brc-20","op":"transfer","tick":"Mbhl","amt":"180000"}h!
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:{"p":"brc-20","op":"transfer","tick":"nyse","amt":"50000"}h!
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@{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"12000000000"}h!
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A{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"480760000000"}h!
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:{"p":"brc-20","op":"transfer","tick":"Viva","amt":"40000"}h!
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;{"p":"brc-20","op":"transfer","tick":"Mbhl","amt":"100000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #10</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/e56bd6235a44683c3c2d34094e492f83ead8d165c229e0e54a166a1bfebe2fe5i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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2{"p":"brc-20","op":"mint","tick":"
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9{"p":"brc-20","op":"transfer","tick":"NASA","amt":"6000"}h!
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@{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"12000000000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #18</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/c4dc1d4a43faeed44bc6c0ef5c6b2d77e9ebb0d99c684cfdff841297aa57beffi0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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B{"p":"brc-20","op":"transfer","tick":"
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@{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"12000000000"}h!
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;{"p":"brc-20","op":"transfer","tick":" UBI","amt":"500000"}h!
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9{"p":"brc-20","op":"transfer","tick":"MBHI","amt":"6000"}h!
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?{"p":"brc-20","op":"transfer","tick":"AiLB","amt":"8500000000"}h!
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9{"p":"brc-20","op":"transfer","tick":"MBHI","amt":"6000"}h!
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;{"p":"brc-20","op":"transfer","tick":"Mbhl","amt":"100000"}h!
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@{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"12000000000"}h!
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@{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"10080000000"}h!
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A{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"480000000000"}h!
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:{"p":"brc-20","op":"transfer","tick":"Mbhl","amt":"20000"}h!
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:{"p":"brc-20","op":"transfer","tick":"OROK","amt":"10000"}h!
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?{"p":"brc-20","op":"transfer","tick":"AiLB","amt":"8550000000"}h!
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@{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"12000000000"}h!
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:{"p":"brc-20","op":"transfer","tick":"JDQG","amt":"10000"}h!
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A{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"570250000000"}h!
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A{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"500000000000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #8</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/8cdb8812fcba379e8002d3152cc506856092e2e357eb976a0883cc8b27c03610i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / natM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.mL
in(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #24</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/055034ec17a0e9a5a128c5e252b97db3fe83a088d6182ac27a5697eda96b4476i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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@{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"10080000000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #22</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/d8cb12b083d207091e8bbd0164f0f2a0c605339e803c6113285eaf79fc147c96i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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;{"p":"brc-20","op":"transfer","tick":" UBI","amt":"100000"}h!
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@{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"12000000000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #20</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/5181fd37991d647d2600d6fd6cee6e6702d56bb7cafc29808ef6ca977a024b23i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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@{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"10080000000"}h!
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@{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"10080000000"}h!
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    <title>OWL #9</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
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      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / natM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.mL
in(255, Math.max(0, data[i + 1] + grain));
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@{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"12000000000"}h!
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    <meta charset="UTF-8" />
    <title>OWL #7</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
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    <title>OWL #16</title>
        background: transparent;
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        width: 100vw;
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9{"p":"brc-20","op":"transfer","tick":"7fei","amt":"1510"}h!
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@{"p":"brc-20","op":"transfer","tick":"ATNG","amt":"10080000000"}h!
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 #FreeSamourai #FreeTDevD
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Sh/Foundry USA Pool #dropgold/
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Automatic cold wallet send
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  <h1>The Shadow Prince</h1>
  <h2>by Leon Faesulis</h2>
  <div class="chapter active">
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
QugAHGrcIgthsP8E5XygW6sj2IY/Isc+ASEXJAlOLJW2/uVbsQDAfu+PlEHqBs0o5hulurF/xa+fabAYe0Gzd12PxAaQZrRh9UAAAAARtzNkqz6HR4AAQ3gAAA==" alt="Chapter Art" style="max-width:100%; border-radius:8px; margin-bottom:1em;">
  <div class="chapter">
    <h3>Disclaimer</h3>
    <p>The Shadow Prince is an original work freely inspired by the theme of
 found in Antoine de Saint-Exup
s The Little Prince. However, the journey narrated in this book leads to different, more modern meanings, exploring themes such asM
 inadequacy, depression, and suicide. Its symbolism and content are the expression of a personal, introspective path and bear no direct connection to the original work. This book is in no way affiliated with, authorized by, or approved by the rights holders of The Little Prince.</p>
  <div class="chapter">
    <p><i><br>To those who feel lost in the noise of the world,<br>to those who seek themselves between shadows and light,<br>to those who have the courage to love what they cannot reach.</i><br> <br>
  <div class="chapter">
    <h3>Chapter 1</h3>
    <p>When I was a child, I made a drawing. I tried to sketch improbable animals, but soon realized that drawing wasn
t my path. A few years later, however, I discovered I was better with words. And so, I began to write.<br>
I had watched a TV series about great poets and writers and was fascinated by the idea that, with ink and a few words, one could make a heart <span class="nota-wrapper" tabindex="0">tremble<span class="nota-fluttuanM
te">To make a heart tremble is no small thing
 it means you've touched the invisible.</span></span>.<br>
Thus, I wrote my first poem:<br><br>
<i>I left the window open<br>
to let the darkness fly away.<br>
But the darkness stayed,<br>
and the curtain slipped away.<br></i><br>
With those lines, I wanted to capture, in words, the failed attempt to expel the melancholy I carried inside me, the sense of inadequacy that often overcame me, only to discover that I had simply let slip away the innocence covering tM
hat sadness, making it now feel even sharper and more present.<br>
When I read the poem to others, everyone said it was a pointless nursery rhyme and that curtains don
t move on their own. Some nodded indulgently; others shook their heads, as people do with things they deem unworthy of attention.<br>So I tried rewriting it with more poetic words.
t waste time on such sad things.
And so, I stopped writing and learned to hide what I felt.<br>
I adapted to the world of others, who prefer nM
ot to see. They talk of work, money, duties, but not of emptiness, nor of the desire to be truly seen. I became an adult like all the rest: home, job, family, responsibilities. I never let anyone read my poem again; they seemed all too busy to ask who you really were, more interested in what you owned.<br>
Years later, by chance, my car broke down among the Tuscan hills. There was nothing on the horizon, only woodlands, vineyards, and the shimmering heat of summer. It was a fierce heat, the kind that won
ou think. I had little water, no signal, and a car to fix. I tried to figure out the problem, but I
d never been a good mechanic. After a while, I gave up. The nearest town seemed within walking distance. I set off.<br>
t recall how far I walked. The hours blurred, and with them, my thoughts. Perhaps I was seeking just a bit of shade. Then I saw it.<br>
A darkened storefront, set into an old building, as if forgotten by time. There were no signs, no objects, only dust and silence.<br>
there, in the dull reflection, between my face and the shadow of the town behind me
t look like a child. He seemed more the idea of a child I had long lost. And he didn
t speak as a child, but as an echo.<br>
Write me something that doesn
His hair was raven-black; his eyes large and blue, with an ageless melancholy.<br>
How did you get here?
 I asked, astonished.<br>
t answer. He pointed to my notebook, poking out of my backpack
s side pocket, and repeatM
Write me something that doesn
It was an absurd request, not just for its content (who asks for something that doesn
t exist?), but for the moment. We were in a half-asleep town, under a scorching sun, the worst place to discuss poetry.<br>
Yet, perhaps because he was a child, perhaps because I
d wanted to write again for years, I decided to indulge him. I wrote down my first poem, the one about the curtain, which I still remembered. He read it in silence for a long while. Then he loM
oked up and nodded:<br>
t want a poem about melancholy! I want something that doesn
I was stunned: until then, no one had understood my poem and suddenly a child, appearing like a shadow, had interpreted it correctly. But apparently, that wasn
t what he wanted. So I tried again: that child was a mystery, but also a challenge to my words.<br><br>
<i>I seek calm within me,<br>
but never find it.<br>
s not a shadow to chase,<br>
nor a dream to grasp.<br>
a distant light.<br>
For those who walk without rest,<br>
peace does not exist.<br>
There is only the journey,<br>
and the silence that speaks no words.</i><br><br>
A wide smile spread across his ashen face.<br>
 exclaimed the child with ash-gray hair,
s exactly what I wanted to hear!
Then, as if the smile had never existed, he closed himself off in silence. He reread the poem once more and finally said,
Do you think others truly have found peace or are they lying tM
That is how I met the Shadow Prince.
 <div class="chapter">
    <p class="righe"> Sometimes I think it was only a dream... or a nightmare.</p>
  <div class="chapter">
    <h3>Chapter 2</h3>
    <p>He said his place of origin was a threshold, a fragile limbo, suspended between what is dreamed and what is forgotten. A place that exists only when someone stops searching for it.<br>
The Prince told me that, in that place, he was not alone. There was a tree.<br>
now if it was alive. It had neither grown nor died. It simply existed, like certain thoughts that never fade.
I watched him in silence. The image struck me deeper than I cared to admit.<br>
Every morning, the tree spoke to me. It didn
t utter words, yet it never stopped talking. It cared for me, not the other way around. It watched over me, quietly, as if it had always known what I needed before I did.
His gaze stayed fixed on emptiness as he spoke, as if still listening to that mute voice.<br>
There was comfort, yes. A kind of quiet closeness. Like the way you feel safe in a place that doesn
But if you loved it, why did you leave?
He lowered his eyes and let a pebble slip from his hand.<br>
Because something inside me said I wasn
t in the right place. Even if it felt like love, I sensed a void. An unease. Voids aren
t filled by standing still. Even when you love, if you
re not where you belong, something breaks. It was a thirst that the tree could not quench.
I listened, fascinated. He spoke like a child, yet in his words lay a whole world of experience and solitude.<br>
And where did you go?
He raised his eyes to the vast sky, as if searching beyond the veil of clouds now gathering overhead.<br>
Elsewhere. I was seeking something that resembled me."<br></p>
   <div class="chapter">
    <h3>Chapter 3</h3>
    <p>He stayed silent for a while.<br>
I absolutely had to try to find a mechanic for my car, but I felt disturbed by that unusual pM
resence beside me. I was about to turn to him, to ask what he was doing here now, and where he thought he was going, when he began to tell me about his travels. Of strange places and disarming encounters.<br>
Having abandoned the safety of his threshold, he had begun to visit his world.
The first place he came across, along the way, was a deserted square, where time seemed to have stopped and the walls whispered forgotten stories.<br>
There was a small wooden theater, faded by the sun, and in front of it, a lone maM
n sitting on a stool.
Every day, at dawn, he would raise the curtain and make his puppets dance.
They laughed, cried, fell, and got back up as if they had a soul.
But there was no one to watch them.<br>
No one to hear the lines.<br>
No one to applaud.<br>
The Shadow Prince stayed silent for a while, in the darkness of the empty auditorium, watching the man manipulate invisible strings with delicate fingers.<br>
For whom do you make them dance?
 he finally asked.<br>
The puppeteer did not turn around.<br>
r no one. Or maybe for myself. When you
re alone long enough, you learn to tell yourself stories so you don
The Prince nodded quietly.<br>
The puppets moved flawlessly, but something in that perfection was broken.
Like a dream too orderly to be true.
And you never talk to anyone?
 asked the Prince.<br>
The puppeteer shook his head.<br>
The strings are more reliable than <span class="nota-wrapper" tabindex="0">words<span class="nota-fluttuante">Behind every move, an invisiM
ble thread guides us, and we pretend to dance freely.</span></span>. No string lies, no string betrays. They just break.
The Prince looked at the empty theater, the lights on with no spectators, and felt a similar emptiness in his chest.<br>
 he said, pointing at the puppets.<br>
Pretending to be happy to forget you
The Prince turned toward the exit.<br>
But by pretending too much, you forget what you really feel
He got no answer. Only the creak of the strings and the dull thump of wooden feet on the stage.
He left silently, feeling a different kind of cold on his skin.<br>
Not the cold of the air, but that of stories that no longer remember whom they belong to.</p>
<div class="chapter">
  <div class="container">
  <div class="main-text">
    <h3>Chapter 4</h3>
    <p>He continued to tell of his journey, place after place... they were all very similar, lonely men who felt important. Like the one he met one dayM
, sitting on the edge of the world, where the sky kissed the water and every boundary seemed to vanish. There, for the first time, he saw the sea.<br>
The man was motionless, his eyes fixed on the horizon and his fingers moving slightly, as if following an invisible rhythm.<br>
 asked the Prince.<br>
 the man replied, without turning.<br>
The waves. Every evening. Always. One, two, three
 until the darkness erases them all.
nce sat beside him.<br>
And why do you watch them?
The man hesitated, then said:
m afraid of losing them.
s as if they never existed at all. Watching gives me the illusion they stay, that they don
t vanish into nothing.
The Prince remained silent.
And do you ever listen to them?
The man looked at him confused.
What should I listen to?
The sound. The breath. The stories. The sea speaks, but not to those who onlyM
 want to keep it for themselves.
The man did not answer.
He kept watching, his gaze fixed on the waves that came and went, like thoughts that refuse to be caught.<br>
The Prince stood up.
He looked at the sea once more, but although he grasped the beauty of that view, he could not understand the man sitting next to him:<br>
The most beautiful things cannot be possessed,
They are loved, lost, come when they want, and leave without saying goodbye.
Like the sea, which consoles and consuM
He left that place too, carrying a trace of anxiety with him.
Every place was a reflection of what he feared he might become.<br>
I looked at him and saw in his eyes the weariness of one who knocked on too many doors with no answer.
Did you feel lonely?
He nodded slowly.<br>
Every time I hoped, I realized again that I wasn
    <div class="side-note">
At least, once, he saw the sea. Like We do.
  <div class="chaptM
    <h3>Chapter 5</h3>
    <p>The Shadow Prince looked exhausted.<br>Telling his story must have cost him greatly.<br>I watched him sit on the ground, his eyes clouded, perhaps by a tear, perhaps by the reflection of his own melancholy.<br>
I came to a place made entirely of mirrors. The ground, the walls, even the sky reflected my image. There was nothing else. Wherever I turned, I saw myself. But I was never the same: in one mirror I looked joyful, in another empty. In one I laugheM
d, in another I wept. Yet none matched who I truly felt I was.
Have you ever felt that no one truly sees you?
I nodded in silence.<br>
the mirrors stared back without understanding. They showed faces I had been or might have been, but there was no one to speak to me. No one to reply. Only me, multiplied infinitely, like an echo that never finds its silence.
He paused. The breeze around us seemed to listen.<br>
At first I sought tM
he right reflection, one that matched my true self. But the more I searched, the more I lost myself. In the end I sat down and watched my own face vanish into the cracks of silence.
That by searching for myself so desperately, I forgot to simply be.
He lowered his eyes.
And that not every reflection returns your image, some consume you.
Yes. But something of that place stayed within me. Sometimes, when I look in a mirrM
or, I fear I may not find myself anymore.
    <div class="chapter">
<div class="reflect-container">
  <h2 class="reflect-text">A mirror, a shadow...<br>Do you find yourself in this reflection?</h2>
  <h2 class="reflect-text reflect-glow">A mirror, a shadow...<br>Do you find yourself in this reflection?
<div class="chapter">
    <h3>Chapter 6</h3>
    <p>A few days later, in a silent grove, he met a girl wearing a fox mask. <br>
    She was an elegant, distant figure, herM
 gaze both inviting and repelling.<br>
 said the fox-girl.<br>
The Prince did not respond at once. He sat on a stone, his eyes fixed on a barren horizon.<br>
 asked the fox-girl, as if the answer did not matter.<br>
Someone passing through. Someone who sometimes stays a while, but only a while.
The Prince turned to face her.<br>
Do you want to stay with me?
The fox-girl smiled, a crooked, warmthless smile.
erhaps. If I feel like it.
For several days, she remained a constant presence. They walked side by side, speaking little. Every gesture hinted at hidden meaning; every glance contained a promise of companionship. Slowly, the Prince began to believe he might no longer be alone.<br>
Then one morning, the fox-girl simply turned and walked away. She was leaving.
The Prince chased after her, but she made her intentions clear with her posture and her eyes.<br>
You knew this would happen,
 a destiny you knew but chose to ignore.
I thought binding myself to someone would fill me. Instead, I carry a deeper void; each moment with you seemed to dig it deeper. Perhaps I too only pretended it was real, perhaps I sought only that which would not hurt.
Then seek no bonds. Yet do not lament your solitude,
 the fox-girl replied.<br>
With that, she departed without looking back.<br>
The Prince stood still for a long time, then spoke to the wind:
 you draw near, knowing you would depart?
From that day, every face he saw resembled that fox-girl
  <div class="chapter">
    <p class="righe2"> Silent fox departs, <br>
shadows swallow fleeting trust
void grows in her wake.</p>
  <div class="chapter">
    <h3>Chapter 7</h3>
    <p>The Shadow Prince attempted to return to his threshold.<br>
But it lay too far away. Or perhaps it no longer existed. Maybe it changed, or perhaps I changed.
He halted, uncertainM
 where to go. Silence surrounded him differently now, no longer mere emptiness, but as though listening.<br>
The tree waits no longer,
And I no longer know <span class="nota-wrapper" tabindex="0">who I am.<span class="nota-fluttuante">And I? Who am I, really?<br>
Have I ever truly asked myself, or have I been too afraid to?</span></span>
  <div class="chapter">
    <h3>Chapter 8</h3>
    <p>One evening, as the sky faded into ashen tones, the Prince heard a noise among the vineyardM
s. He wandered pensively among the rows.<br>
It was not a threatening sound, but soft and almost soothing, like a voice calling your name without moving lips. It appeared without haste. It did not slither, but floated in the heavy air of a late summer
 it said, its tone seeking no confirmation.<br>
The Prince did not turn.<br>
I am not lost. I have simply stopped seeking.
The dark line regarded him long, its eyes seeming to have witnessed everything, and then forgotten it aM
I can offer you peace,
A place where no weight remains. Where no one departs, and no one returns.
The Prince closed his eyes.<br>
There is neither light nor darkness. There is nothing. And nothing cannot hurt.
Silence fell between them. The Prince sat on the freshly turned earth, his hands trembling, not from cold.<br>
I have loved. I have lost. They left me
 or perhaps I was never enough.
The voice of nothing drew closer, each wM
ord softer and more logical, like a sleep grown necessary.<br>
You do not have to stay. No one does. I offer you the only certainty that exists.
The Prince opened his eyes. In them lay no fear, only weariness.<br>
And if I stayed a little longer?
The fissure in the ground did not move, yet its gaze seemed to crack.<br>
For whom would you stay?
For myself, perhaps. Or for someone who does not know I exist, but one day will understand the void I felt.
The Nothing recoiled into M
Then stay. But know I will return. I always return.
<span class="nota-wrapper" tabindex="0">But next time<span class="nota-fluttuante">I reread this passage again and again
 each time, the silence between the words weighs heavier, that fragile moment suspended between clinging to stay and the quiet pull to let go. Maybe it is in that empty space, in that aching pause, that the true courage to live quietly reveals itself.
 I hope to have a diM
And with that, it vanished, as though it had never been there.
  <div class="chapter">
    <h3>Chapter 9</h3>
    <p>Night was falling. The air grew colder, and the light faded into muted shades.<br>
Unable to fix my car or find an open mechanic, I had thought to call roadside assistance. But the tale of that small soul, searching for itself, had completely distracted me from time and reality. I knew I must return home.<br>
What will you do now? I must head back to town
He shook his head slightly.<br>
This is not my place. I miss my tree
 and my threshold. But I cannot return to them. And what I sought
 I first found, then lost.
He spoke with a serene expression, as if sadness no longer frightened him.
Then he added, gazing into the dark storefront:<br>
You know, when you lose yourself, you cease to belong to this reality. Yet you remain here, like a shadow, only for others
 until someone or something comes to take you away.
   <div class="chapter">
   <div class="glitch">
  N-n-o-t-h-i-n-g... <br />
  n o t h i n g... <br />
  n0t|-|!n9... <br />
  w/h-i-s-p-e/r^s/<br />
   <div class="chapter">
  <div class="container">
  <div class="main-text">
    <h3>Chapter 10</h3>
    <p>Night had long since fallen, M
and I had given up hope of a tow.<br>
The Shadow Prince still sat there, knees drawn up, eyes fixed on some distant point only he could see.<br>
That was when I saw it too, slithering slowly, silent as a shadow. It was what had promised to return. It had not spoken of a path back, but of an end.<br>
The Prince did not seem surprised. He rose gracefully, as though he had always awaited this moment.<br>
 I asked, though I already knew the answer.<br>
He smiled gently.<br>
Every journey ends with aM
 step. And this is mine.
The slender shape approached, not menacing, but part of the night, like a low note in a final melody.<br>
 replied the child.
For where I go, I have been promised no more questions. I will feel nothing, nor will I need to seek anything.
He began to fade, receding into the windowpane, toward that fracture in the soul.<br>
It was good to meet you,
To meet someone who shares your melancholy.
e were alike, that child and I. But he had more courage.<br> Those were his last words to me. He disappeared into the empty glass, and I stood still as a statue.<br>
In the distance I saw a snake coiling gently around his form, and the Shadow Prince vanish into the darkness with it.<br>
<div class="side-note">
He was ready to leave.
I wonder if I will ever be.
  <div class="chapter">
    <h3>Chapter 11</h3>
    <p>Silence descended like a veil. Not even thM
e wind dared speak.<br>
I remained motionless, as the night grew blacker and the sky deeper.<br>
I thought of all he had said, of the places he had crossed, of what he sought
and what he lost. I thought of the melancholy we shared and how I remained while he departed.<br>
As I slowly made my way back to my abandoned car, I felt I was no longer the same.
Perhaps I found no answers. But I found something that resembled meaning.<br>
I have never seen the Prince again.<br>
Yet sometimes, when I pass a darkened windowM
, a mirror, or a wave upon the shore, I think of him, of that lost soul who searched elsewhere, never stopping. Of the child who never ceased feeling out of place, yet kept seeking until he could seek no more. Even when each step carried him farther from home. Even when the search hurt more than solitude.<br>
He left me with an unanswerable question:<br><span class="nota-wrapper" tabindex="0">
Do we search because we hope to find or because we cannot stop searching?
      <span class="nota-fluttuante">Maybe we werM
e never meant to find anything. Maybe the search is the punishment.
He searched for a place that matched his heart. He searched for someone who could understand him without asking why. But every time he found something beautiful, he feared losing it. Every bond was a wound waiting to open.<br>
Perhaps that is why he left again, forever. Perhaps he understood that those who feel too much sometimes belong nowhere.<br>
I thought of nothingness and how it took him away. Yet I do not believe inM
 an end, I believe in transformation. I believe he went beyond, where pain no longer weighs and love needs no restraint.<br>
Now, whenever I see a shadow, I pause to look. Not because it is darker, but because it seems uneasy, like it too is seeking what it lost
or seeking itself.<br>
If one day you walk among empty storefronts and see, in the glass, a child sitting with knees to chest and eyes full of questions, sit with him.<br>
And do not ask who he is.<br>
Ask what he is seeking.<br>
  <div class="epilogue-container">
  <div class="epilogue">
    <p class="epilogue-line">I sought calm within me,</p>
    <p class="epilogue-line">but now I know it hides.</p>
    <p class="epilogue-line">Not a shadow to chase,</p>
    <p class="epilogue-line">but a presence that lingers.</p>
    <p class="epilogue-line">Not a locked door,</p>
    <p class="epilogue-line">but one I dared not open.</p>
    <p class="epilogue-line">For those who walk without rest,</p>
    <p class="epilogue-line">thereM
    <p class="epilogue-line">There is only the void that remembers,</p>
    <p class="epilogue-line">and the weight of what remains.</p>
  <div class="epilogue epilogue-mirror">
    <p>I sought calm within me,</p>
    <p>but now I know it hides.</p>
    <p>Not a shadow to chase,</p>
    <p>but a presence that lingers.</p>
    <p>Not a locked door,</p>
    <p>but one I dared not open.</p>
    <p>For those who walk without rest,</p>
    <p>there is no return.</p>
    <p>There is only the vM
oid that remembers,</p>
    <p>and the weight of what remains.</p>
  <div class="chapter">
      <h3>Acknowledgments</h3>
    <p>This book was born from my silent search, from moments of solitude, fear, and hope.<br>
Thank you to those who have been able to listen to the silence between the words, to those who welcomed the shadow without judgment.<br>
Thanks to the web3 artist community that encouraged me to step out of the shadows and share this journey.<br>
And finally, thanks to the ShadowM
 Prince, keeper of dreams and melancholy, who has guided me step by step.<br>
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    <meta charset="UTF-8" />
    <title>OWL #138</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/03e2057c29c4265d3418f99ba168f3103f22fa45f2c2266b2e662eb67e7f2bb4i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #50</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/28f633b5aee998eaca17fe4b44ef58ed4ea24a3c5a8b3fb28c50bb9ef4275894i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #40</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/62880b4e58e2dfc5c43749eecc3b470494e46a7e0e9f34908dd79900a14b55f2i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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;{"p":"brc-20","op":"transfer","tick":"$BMP","amt":"110000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #78</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/3ade79ca991bb10984d73e16d483a074ab0513a02161ecca0e0cebdb2045676ei0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #39</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/5b4f6667a908831048b5d57a402e4d9d39d8289409e9c8a46bcd8aac9d0c54e4i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #56</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/0fd115909593da6d26842c14ef008bce020372c01e04e5cad5967aaf3891fef8i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #149</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/93d921ae165778213a3bfb411d205cad88add8fdac48b0cf58d15dd1583f961ai0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #132</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/f57bf0127a475f4161be3a6c1b778141b9a6f573cf5ed7e95aabc5c90e37c3c5i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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?{"p":"brc-20","op":"transfer","tick":"
","amt":"9624000000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #31</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/bfa5240a7f696cb14e23ae674fcc2c3ade937478812f008af7465e2220309487i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #131</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/592cce217b9084932238c7dda17c042add5967ecaa7e250e776f48ab5650fbdbi0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #115</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/6ef55665f54d0aaa327faabc0ec61398c8d22beb921088af45afc55b081ea4f4i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #141</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/998defaeaf5c22313ce71b4e3a449fb48edc6853f8dda603748a130629f1b225i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #26</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/9af5bbe99a0b80afba7d75c1de25f506c013171b786adfc4725f5b90d4450e65i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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;{"p":"brc-20","op":"transfer","tick":"HOLO","amt":"100000"}h!
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    <meta charset="UTF-8" />
    <title>OWL #81</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/ab1a449017ea6441a3ef218a563f326943c364cd0ab20cef221f5f25c1324439i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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;{"p":"brc-20","op":"transfer","tick":"dogk","amt":"100000"}h!
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@{"p":"brc-20","op":"transfer","tick":"
","amt":"16000000000"}h!
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?{"p":"brc-20","op":"transfer","tick":"
","amt":"5000000000"}h!
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9{"p":"brc-20","op":"transfer","tick":"7fei","amt":"2689"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #65</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/490a402244267ac0276d98bef9cbd9e6eeff472ab6e9baffed75517efd035a6di0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #121</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/648cb4da3acc8896b0fc7084a9556300a647a82691690e28913d839264256081i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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:{"p":"brc-20","op":"transfer","tick":"labu","amt":"48000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #75</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/ca212d63dabd40291644ccd7ca4340bc31bdf3033dccb29ca009ec23679c7e96i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #92</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/aa42170d97ecbdf07beec9a3fd3ed3b2d52f5a04d5870df1b8f032729f727f3fi0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #37</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/956acc345af72c6c43cb4fc94c3d703b39ddedcf0d05da82b2f92a193243d7cai0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #80</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/0d457991d77ddbe296804f01660d7d7a20b44d95a1cad4949c8da8b50b22aa9di0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #105</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/82517a2d1697506845634ba2e961b509f7a31c7b9b235c3c64ec148a1e60e226i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #112</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/d1df9bbe7857b1b9d9925855b4b2b5b4b68770d6f6fbb4e1afcf9a2b716b4b19i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #32</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/3df34bffb864834f4521ebc4fef67460182e9db7521515a847f12e469c796e21i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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?{"p":"brc-20","op":"transfer","tick":"
","amt":"2585554536"}h!
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
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    <meta charset="UTF-8" />
    <title>OWL #49</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/80f12acfb99ebdfcac1342892ffcc407bbc9cc740c76da7ea72eb5088899858ai0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #124</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/574f1c67c1971ee57bf10f8313e43723b6e774f7ec8a0a71c3a1e0b7b7b37d02i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #62</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/cda9c8c1c9df318ea0abd48e8702c1fd844b730650386753859969979bc8a047i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #71</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/4bee80872f4231549c59e171573ffd70a9edbdf86190708260b23b881fde31edi0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #74</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/a6200e453d4310d2905a3e1852ce853b4f1dae72f6a882ae9be8974f328af9c2i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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:{"p":"brc-20","op":"transfer","tick":"OROK","amt":"10000"}h!
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    <meta charset="UTF-8" />
    <title>OWL #100</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/694c52ef2fe41eb712a78ad5fe658d3c829f71338d08125a8c3ec9084380a34ei0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #102</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/3aef35c8999b2824c21c6e48401a64d91da3ceb9b90d7039a4da7eafae5f0dffi0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #87</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
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      const imgSrc = "/content/4df81ea5802f291917c1520b8334e219f380ef7a1c2498481c48065994750bf7i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #79</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
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      const imgSrc = "/content/b4e6bfe6a6d0563c03a3ccf8b1de2c8666de55896af6d38d0e23b8318d0df050i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #117</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
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      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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8{"p":"brc-20","op":"transfer","tick":"SocFi","amt":"60"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #101</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
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      const imgSrc = "/content/dad3294e6bcdad3cb52f841a83f79b05516aff8ebae581f4d3127fbf13de5c38i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #134</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/558174bd1891cd47f5afe7f44ffbae89ef80a5b0ebf6d482afa4e0ff90288d6ai0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #43</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/d27a82f8aa9ba2557c85922b3491551db6b17275d5e3551c5642b2d3a87b7f55i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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9{"p":"brc-20","op":"transfer","tick":"TRIO","amt":"1000"}h!
text/plain;charset=utf-8
:{"p":"brc-20","op":"transfer","tick":"slor","amt":"10000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #123</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
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      const imgSrc = "/content/2bff9e23c77af9be6c523a741b9303b5de8ff05414b17c36142637f5f9d30e52i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #54</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
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      const imgSrc = "/content/7b7f521927c339cf1b2326bc9597eda419dad538f2931e10f1c656c4aa165190i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #90</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
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      const imgSrc = "/content/fc7646a5efe266fbe23f791b7c403819daf5011364e8991c903e2759f93537b8i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #120</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/534b8b4b8788885aa1b3b98c539e71a69512ad257a36dbebe1ba3a8da622e10ei0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #69</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/5f8db30ec395e098d2d730fb1c8dfa5285be2cdecc0b2d030279af4befdf21cci0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #96</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/b2d0655a57aa3c6cdea3575ebfa28341bdf7d342a20e8b6dcce7a4511f00ce30i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #27</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
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      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #128</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
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      const imgSrc = "/content/a961f8de39635d014a5263cbe2131af351b81f68e253e2113f3fb67a5b87169ai0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #98</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
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      const imgSrc = "/content/3fe2e04f905e22c27f085eeb3dc754a5172bed34c7da678062e8f2f781967dd6i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #47</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
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      const imgSrc = "/content/1fa1b39f5da053711c63050e7c332c64bbfc9349981ea703f9696139921095e2i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #48</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/c708f5b0d008326e2122dffaec01fd253d0a00ccddaa90682d69becf843d4f07i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #126</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/00e39dff361fbfd69fb9543aaf63d1bd43510108b894aef9ce09fa5fdb93c29fi0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
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9{"p":"brc-20","op":"transfer","tick":"Mbhl","amt":"5200"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #82</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/770fb9d8f6451f4c258556afcf14d0bb525137cbae16bad634b43eb4e484ba18i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #143</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/b275cc945ee314a74ca347cfeedb1f11b4d867ba530a016cb48d5fef3df6f8d3i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #106</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/2cbba89eb90f06eeb1056b76ac5fddd2bfb2baa152dc41de05737f9645fd7adbi0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #59</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/92cbd3164ed6221d8864151c8fe776bd3ff976853fba09287c699f1840756ba6i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #125</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/0d42b561bb781d62b9b889ed44fcc46ece119cfa2c90f874af14d5b6492fa136i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #66</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/eaf8dc4c9f77b944907169b1f0b96c98d6876fcae110847e6cd6b01786ed4849i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #76</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/bb12ec091f69d79afce53d9ff435bf2d73050139c1174fb85934b5c95cbc0cc8i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #127</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/64b3e481fa8da8ba74319fc61f03f419f6643221567b910fe81bef96a6880f30i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #72</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/268d73a8402407aef19e25fd3b5addaa9ddc5bb229451c3aa5d29505e243beabi0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #108</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/8fc9399c16cf8d1bc1ee01746262fa260ce1f1872c786264d89cce216068bb1ai0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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9{"p":"brc-20","op":"transfer","tick":"MBHI","amt":"6000"}h!
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:{"p":"brc-20","op":"transfer","tick":" UBI","amt":"10000"}h!
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    <meta charset="UTF-8" />
    <title>OWL #70</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/c3801ad6ff9599051fdb5188d7213535c2a90e3c2216feec1c5cb977f7e529e2i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
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    <meta charset="UTF-8" />
    <title>OWL #42</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/03a9b5a3602f8d252058b06871c78024a30fb45c02671d743a0b64285bb8f643i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
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9{"p":"brc-20","op":"transfer","tick":"wawa","amt":"2800"}h!
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
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    <meta charset="UTF-8" />
    <title>OWL #30</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/8902fd67b66065884ab652f0ea00d7ac7393b2ca1d0e1d447160469ba577d300i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #91</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/e0537b53179b248bd2943912d1f8d4c2716caf6e1264e8e9ea2416b95ebade42i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #38</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/0c855928c6f0c526cd2e7c14f619f7e37f8eb83cd59db344e59facb64089adaai0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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D{"p":"brc-20","op":"transfer","tick":"@Musk","amt":"46599961199960"}h!
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    <meta charset="UTF-8" />
    <title>OWL #88</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/85aae5d5eeffe2b8acafd38cc8ec5d724adf3eef31a1ef54bdcac70de89811dfi0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
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    <meta charset="UTF-8" />
    <title>OWL #83</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/835fb5f9e6e29a56e26bef49bbc5293dea07766628b3a626d2ec4e4c51708c21i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #57</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/437a3b0f5b3120e63470c544468fb75e2200bf8ede86c5ddea77802c3dc236d0i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
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;{"p":"brc-20","op":"transfer","tick":"dogk","amt":"100000"}h!
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    <meta charset="UTF-8" />
    <title>OWL #95</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/25ab813e7821fbd5f87d4d4ba3b36a9dd675c6ac136cf365a9d2bc9ec26f2211i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #99</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/aad32c0708295434d4b3d6aaf64a3637a1cddca2d0fa1b8779aa5b3bdcd5d2a9i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #63</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/d106b2ca83ef1f75246f69e8e9de8e383b7f5e6f66e4dadf4b241a6a16a89d88i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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:{"p":"brc-20","op":"transfer","tick":"slor","amt":"20500"}h!
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;{"p":"brc-20","op":"transfer","tick":"dogk","amt":"100000"}h!
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #34</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/5ee0bb9990d4eecfe2961289808516e41734de6cb439fb219e71e6888d652211i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #46</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/7f2cb842e39ee99faad833acf7a69ae7e65c59d38b122a9977083472f29464f2i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #67</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/de405cd821d22cca9fb8d087a6fba0a29e836094a95c33d1de5b6651f96ffc47i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
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9{"p":"brc-20","op":"transfer","tick":"MBHI","amt":"6000"}h!
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8{"p":"brc-20","op":"transfer","tick":"7fei","amt":"500"}h!
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:{"p":"brc-20","op":"transfer","tick":"SF
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #68</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/01194b9a37da45597b090e0a4ee90116e3cec46b9f5829eece3c2401e6261e3di0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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A{"p":"brc-20","op":"transfer","tick":"
","amt":"100000000000"}h!
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    <meta charset="UTF-8" />
    <title>OWL #135</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/2d2a1f792a07ee0b2b581148cb6ef368bef3c8382ecafa52e610896ef7ee2867i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #146</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/3114668fc64e73fa90e0208d49011bc9d2fb266b29515ce213b6bf5740ddb815i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #137</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/6e38707b276d09c75e10514fbfe4d1d644200601af90e04f8ba31f95e9e14e76i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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:{"p":"brc-20","op":"transfer","tick":" UBI","amt":"10000"}h!
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9{"p":"brc-20","op":"transfer","tick":"iron","amt":"5000"}h!
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
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    <meta charset="UTF-8" />
    <title>OWL #130</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/71f5c28bb8e586e945cd9428f1c8354ec4bfcc4f108f15bc6934759eb1ef491ci0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #104</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/6debaec33bf017c4bef1088fc2f4aecf834c5731325d06154d40db117cbb4211i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #97</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/2d68f00feaa3b5de38860b932e21e37970c8dd8382a973e2ca65b5fa8d9772e1i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #111</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/9f5864710c49a723838ad4a6be1c5ae3a548577275ced44b866ab2c4a8f911cci0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #36</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/616d46fa2f710e21fa89cb2aacb9efc6636059f1537f3b54c93ffa173a485c9bi0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #85</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/29055f2a393532f756ac6ea37ebe7a9204e8770d3d4c25512c2f73d0bccfedadi0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #35</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/34c71935c775a99a7cf49402770274a65ca7a6c4be1e23933d50cb25b5800a54i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #148</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/b8b747212d51c847c9af4963ef622cd8428d83505a780665ecf02c1fd2ef5283i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #122</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/7ce141901a9382cebb0c9353fc19a68761d7a03b4cddad34adaa70da80e09b5di0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #107</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/7dcde30be248373f49458cbd2ea10f1a765ea0ea53bef995e71722f18487612ei0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #33</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/4ad8993e8ace92686602ab5ab9f4289408a9b29994c83e21de20cde95e979810i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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9{"p":"brc-20","op":"transfer","tick":"Mbhl","amt":"3000"}h!
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@{"p":"brc-20","op":"transfer","tick":"
","amt":"10000000000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #119</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/a05953584b637029704ae0cbabd84c260b62119469849b8d84af7631fdb0159fi0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #109</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/d21c219ca55ff43310f61b0949f45955ea23616723f675857287d8b7afe1bb0fi0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #140</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/5503e727c85094efedebecdad0dbfcc44f5886a76c286c7e343422f39a85d951i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #60</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/e686a659d398450efe8b5074170aebf5b00cdc990bd77acb49726ede6f20af87i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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:{"p":"brc-20","op":"transfer","tick":"LABU","amt":"62000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #73</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/a7453e465d8c313792b22c290ea42f7b2d20bd10601ba3d99a7929b064e855d0i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #29</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/1d373eae1e7ee817c9fd613234d676e420b2ec35950f46c673c9625bd768a6d3i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #45</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/5f197d3a500a595211fa2e160531598dbda6a4684b8502f703ae31532db925a2i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #147</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/2b6c7021ff632dab6ba847b06bb229ba55199204e2910749fa22fee1a1e0b2b0i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #84</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/629c6f5d89b3f0b97b7e46bade455e2468dad440e4a3576ea55a65e24adde4e5i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #41</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/ec27e23204f472b0cb6fad7fbe9dd7a95a7ffcc1db0e09053c40c393013b870ai0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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9{"p":"brc-20","op":"transfer","tick":"MBHI","amt":"6000"}h!
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #93</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/68813514cbaede99968b53d6b259032054d36b9ef4ba7b53c50660f1bebf2340i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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9{"p":"brc-20","op":"transfer","tick":"MBHI","amt":"6000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #53</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/ec5df5b5ff7cbf4cfdde4f6981708b4927c0e12845e66e57bb1ba677312c5379i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #44</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/813eff48b24d0716ee12ab56289437263a0c1fbe3576875a64d0d4e1f01acb38i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #136</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/a56404b8812a356fe8e5a6c6774726aacf174125979257b129c51ed69b9bb51fi0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #94</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/9b43d1d63312eba910e1ad61f3c82139a431174dda79320a4eb5a8c8eaf979cdi0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #142</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/995f4bbfe21bc84acc2fd7e194718d00f42953ceed20f1ef2f3ebe7e9e88857ai0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #77</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/dbe0970d314abab342b13b263642473ed6ddefd6865553bb00af04c10921a2e0i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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:{"p":"brc-20","op":"transfer","tick":"eTOR","amt":"24000"}h!
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #139</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/b7dc65cab87508b669f3240eb4f022f66faabbdfa9aff78aed556ac50dbce6f8i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #145</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/c696adfa6cb952c0451c3f49794d0f95e75abb395707f50623be2d4dc7613bd3i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #89</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/4294c0da8e610bdb9d570888ad9b039e7f00e414c705f958b78d71c6b5cc7b6ei0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #103</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/dbebbb2710fbc51f1f9a3076ff2fe4f86e51496fd79b057badf5bf22f8a6a0f1i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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:{"p":"brc-20","op":"transfer","tick":"SF
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #86</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/bbb402f23eee127fdb1d20294b78650944d58425ebc9ca3379a725e7e47297d1i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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    <meta charset="UTF-8" />
    <title>OWL #133</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/1a679edbfba1e8b97ccbbce386c443fe727df10f403d06b02fc48113b27abee3i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
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6{"p":"brc-20","op":"mint","tick":"DIOR","amt":"10000"}h!
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<{"p":"brc-20","op":"transfer","tick":"
.","amt":"656990"}h!
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:{"p":"brc-20","op":"transfer","tick":"labu","amt":"48000"}h!
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    <meta charset="UTF-8" />
    <title>OWL #110</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/45bffcdc859f777fe44c4c72d4bdcc4b26d353f9fab7b0ab292fbd01003e23f6i0";
      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
        const naturalW = img.width;
        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
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        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
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          data[i + 1] = MathL
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@{"p":"brc-20","op":"transfer","tick":"
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text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #55</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
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      const canvas = document.querySelector("canvas");
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      img.onload = () => {
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        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
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        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
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          data[i + 1] = Math.L
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text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #144</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
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        overflow: hidden;
        width: auto;
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        const naturalH = img.height;
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        const w = naturalW * scale;
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        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #51</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
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      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
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        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
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text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #113</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
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      const canvas = document.querySelector("canvas");
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        const w = naturalW * scale;
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        canvas.width = w;
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        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
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          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
.min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
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?{"p":"brc-20","op":"transfer","tick":"MIQI","amt":"5040000000"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #28</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
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      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
      img.src = imgSrc;
      img.onload = () => {
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        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
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text/plain;charset=utf-8
:{"p":"brc-20","op":"transfer","tick":"labu","amt":"48000"}h!
text/plain;charset=utf-8
D{"p":"brc-20","op":"transfer","tick":".
","amt":"22831853071799"}h!
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #64</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
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      const canvas = document.querySelector("canvas");
      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
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      img.onload = () => {
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        const naturalH = img.height;
        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / naM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
        const imageData = ctx.getImageData(0, 0, w, h);
        const data = imageData.data;
        for (let i = 8; i < data.length; i += 4) {
          const bias = Math.random() < 0.7 ? -2 : 2;
          const grain = bias * Math.random() * 9;
          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = Math.L
min(255, Math.max(0, data[i + 1] + grain));
          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
text/html;charset=utf-8
    <meta charset="UTF-8" />
    <title>OWL #129</title>
        background: transparent;
        display: flex;
        justify-content: center;
        align-items: center;
        width: 100vw;
        height: 100vh;
        overflow: hidden;
        width: auto;
        height: auto;
        max-width: 100vw;
        max-height: 100vh;
        display: block;
    <canvas></canvas>
      const imgSrc = "/content/a72e7571ad2d4595ce3c961e295b5466c027a206cb26451ff912a7f5e00745adi0";
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      const ctx = canvas.getContext("2d");
      const img = new Image();
      img.crossOrigin = "anonymous";
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        const scale = Math.min(window.innerWidth / naturalW, window.innerHeight / nM
        const w = naturalW * scale;
        const h = naturalH * scale;
        canvas.width = w;
        canvas.height = h;
        ctx.drawImage(img, 0, 0, w, h);
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          data[i] = Math.min(255, Math.max(0, data[i] + grain));
          data[i + 1] = MathL
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          data[i + 2] = Math.min(255, Math.max(0, data[i + 2] + grain));
        ctx.putImageData(imageData, 0, 0);
0Sh/Foundry USA Pool #dropgold/
@stamp:{"p":"src-20","op":"tranJ
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?{"p":"brc-20","op":"transfer","tick":"
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:{"p":"brc-20","op":"transfer","tick":"orcs","amt":"70000"}h!
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:{"p":"brc-20","op":"transfer","tick":"
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Exhibits from within
Transferring to an equal counterpart
Prancing into a figure 8
Waltzing an infinite loop
Safeguarded by the embrace of two souls of copper and silver being sautered together
A forever bond that holds no bounds
Where open hearts can not be broken
On the edge of curiosity and compassion
Fantasies fulfilled without
Judgment from steel minds
Hanging on the cliffside of a divulging drop
Yet with a grip that'll never slip
Plunging into the unknown
creating an electrical current
And remains there in time
Sending tingling sensations
Volts that charge every light within you until.
Yet the soft caress
Reverberates throughout the amphitheater of us
Each sip of each others free spirit quenches any satisfaction
It creates a shield
So that no one can disturb this forcefield of magnetic
Coiled, vining, boiling
until the heat comes to a slow simmer
Our shimmer will flicker and [w]flicker[w]
Into the glow of iris
the embers will remain throughout the night
Exactly for who we areh!
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S\Sh| MARA Made in USA
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niTXtXML:com.adobe.xmp
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niTXtXML:com.adobe.xmp
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niTXtXML:com.adobe.xmp
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niTXtXML:com.adobe.xmp
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niTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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niTXtXML:com.adobe.xmp
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niTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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niTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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niTXtXML:com.adobe.xmp
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niTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.1-c002 79.dba3da3b5, 2023/12/15-10:42:37        "> <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:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sM
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niTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.1-c002 79.dba3da3b5, 2023/12/15-10:42:37        "> <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:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sM
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TiTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.1-c002 79.dba3da3b5, 2023/12/15-10:42:37        "> <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:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sM
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TiTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.1-c002 79.dba3da3b5, 2023/12/15-10:42:37        "> <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:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sM
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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niTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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niTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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niTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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niTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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niTXtXML:com.adobe.xmp
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niTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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niTXtXML:com.adobe.xmp
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niTXtXML:com.adobe.xmp
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niTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.1-c002 79.dba3da3b5, 2023/12/15-10:42:37        "> <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:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sM
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TiTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.1-c002 79.dba3da3b5, 2023/12/15-10:42:37        "> <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:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sM
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niTXtXML:com.adobe.xmp
" id="W5M0MpCehiHzreSzNTczkc9d"?> <x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 9.1-c002 79.dba3da3b5, 2023/12/15-10:42:37        "> <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:xmpMM="http://ns.adobe.com/xap/1.0/mm/" xmlns:stEvt="http://ns.adobe.com/xap/1.0/sM
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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niTXtXML:com.adobe.xmp
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TiTXtXML:com.adobe.xmp
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8{"p":"brc-20","op":"transfer","tick":"ATMC","amt":"100"}h!
text/plain;charset=utf-8
?{"p":"brc-20","op":"transfer","tick":"AiLB","amt":"5000000000"}h!
text/plain;charset=utf-8
?{"p":"brc-20","op":"transfer","tick":"AiLB","amt":"5000000000"}h!
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={"p":"brc-20","op":"transfer","tick":" UBI","amt":"11000000"}h!
text/plain;charset=utf-8
:{"p":"brc-20","op":"transfer","tick":"JDQG","amt":"17195"}h!
text/plain;charset=utf-8
8{"p":"brc-20","op":"transfer","tick":"dapp","amt":"500"}h!
text/plain;charset=utf-8
8{"p":"brc-20","op":"transfer","tick":"ATMC","amt":"100"}h!
text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"369P","amt":"2000"}h!
text/plain;charset=utf-8
8{"p":"brc-20","op":"transfer","tick":"ATMC","amt":"100"}h!
text/plain;charset=utf-8
7{"p":"brc-20","op":"transfer","tick":"beat","amt":"20"}h!
5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
text/plain;charset=utf-8
A{"p":"brc-20","op":"transfer","tick":"AiLB","amt":"3418450470.6"}h!
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9{"p":"brc-20","op":"transfer","tick":"
text/plain;charset=utf-8
?{"p":"brc-20","op":"transfer","tick":"
","amt":"1900000000"}h!
text/plain;charset=utf-8
8{"p":"brc-20","op":"transfer","tick":"ATMC","amt":"100"}h!
text/plain;charset=utf-8
8{"p":"brc-20","op":"transfer","tick":"atmc","amt":"100"}h!
text/plain;charset=utf-8
8{"p":"brc-20","op":"transfer","tick":"ATMC","amt":"100"}h!
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@{"p":"brc-20","op":"transfer","tick":"AiLB","amt":"12000000000"}h!
5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
text/plain;charset=utf-8
@{"p":"brc-20","op":"transfer","tick":"
","amt":"75555555555"}h!
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@{"p":"brc-20","op":"transfer","tick":"
","amt":"12200000000"}h!
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?{"p":"brc-20","op":"transfer","tick":"AiLB","amt":"5000000000"}h!
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7{"p":"brc-20","op":"transfer","tick":"ATMC","amt":"50"}h!
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?{"p":"brc-20","op":"transfer","tick":"
","amt":"1400000000"}h!
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:{"p":"brc-20","op":"transfer","tick":"defa","amt":"26000"}h!
5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
text/plain;charset=utf-8
8{"p":"brc-20","op":"transfer","tick":"ATMC","amt":"100"}h!
text/plain;charset=utf-8
8{"p":"brc-20","op":"transfer","tick":"ATMC","amt":"100"}h!
text/plain;charset=utf-8
8{"p":"brc-20","op":"transfer","tick":"ATMC","amt":"100"}h!
5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
text/plain;charset=utf-8
:{"p":"brc-20","op":"transfer","tick":" UBI","amt":"10000"}h!
text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"369P","amt":"2000"}h!
5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
text/plain;charset=utf-8
:{"p":"brc-20","op":"transfer","tick":"JDQG","amt":"16280"}h!
text/plain;charset=utf-8
:{"p":"brc-20","op":"transfer","tick":"Aldo","amt":"12000"}h!
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@{"p":"brc-20","op":"transfer","tick":"AiLB","amt":"12000000000"}h!
text/plain;charset=utf-8
C{"p":"brc-20","op":"transfer","tick":"ASTRA","amt":"2500000000000"}h!
text/plain;charset=utf-8
from bitcoinrpc import BitcoinRPC
from math import sin, pi
from time import sleep
rpc = BitcoinRPC("user", "pass", "localhost", 8332)  # Use 18332 for testnet
target_block = 901839  # Adjust for testnet (e.g., current height + 100)
utxo_txid = "your_funded_utxo_txid"  # 0.0005 BTC (mainnet) or testnet UTXO
tx_count = 10  # 1000 for testnet
# Wait for target block
while rpc.getblockcount() < target_block:
tx1 = create_transaction(
    inputs=[{"txid": utxo_txid, "voutM
        {"script": f"OP_1 <pubkey> OP_CHECKSIGVERIFY 1 OP_CHECKSEQUENCEVERIFY OP_RETURN WAVE1_SIN0_BLOCK{target_block}", "value": 0.00000546},
        {"address": "your_change_address", "value": 0.0003454}  # Adjust for fee
    locktime=target_block
tx1_id = rpc.sendrawtransaction(tx1)
Tx10 (or Tx1000 for testnet)
for i in range(2, tx_count + 1):
    while rpc.getblockcount() < target_block + i - 1:
    prev_txid = get_last_txid()
    sine_value = roM^
und(sin((i - 1) * pi / 5), 2)  # One sine cycle over 10 tx
    tx = create_transaction(
        inputs=[{"txid": prev_txid, "vout": 0}],
        outputs=[{"script": f"OP_1 <pubkey> OP_CHECKSIGVERIFY 1 OP_CHECKSEQUENCEVERIFY OP_RETURN WAVE{i}_SIN{sine_value}_BLOCK{target_block+i-1}", "value": 0.00000546}]
    tx_id = rpc.sendrawtransaction(tx)h!
text/plain;charset=utf-8
={"p":"brc-20","op":"transfer","tick":"RSK  ","amt":"4899980"}h!
text/plain;charset=utf-8
8{"p":"brc-20","op":"transfer","tick":"ATMC","amt":"100"}h!
5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
text/plain;charset=utf-8
7{"p":"brc-20","op":"transfer","tick":"ATMC","amt":"50"}h!
text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"369P","amt":"2000"}h!
text/plain;charset=utf-8
7{"p":"brc-20","op":"transfer","tick":"ATMC","amt":"50"}h!
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9{"p":"brc-20","op":"transfer","tick":"ATMC","amt":"1000"}h!
5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"369P","amt":"2000"}h!
text/plain;charset=utf-8
7{"p":"brc-20","op":"transfer","tick":"ATMC","amt":"50"}h!
,mSh/Foundry USA Pool #dropgold/
?j=paq:to:USDT(ERC20):0xbE22dDF52d4688c9138471331652e89D80fdAf3A~!
?j=Htp:to:USDT(ERC20):0x82e25953124BecC671E7ED02040f14048394871B
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@{"p":"brc-20","op":"transfer","tick":"
","amt":"10000000000"}h!
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","amt":"5188888888"}h!
@{"p":"brc-20","op":"transfer","tick":"
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>stamp:{"p":"src-20","op":"tranJ
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@stamp:{"p":"src-20","op":"tranJ
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@stamp:{"p":"src-20","op":"tranJ
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text/plain;charset=utf-8
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text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"Aldo","amt":"6000"}h!
text/plain;charset=utf-8
7{"p":"brc-20","op":"transfer","tick":"ordi","amt":"49"}h!
DjB0x20c92654e8009d27c36816e9f548bd959e1168863a9e296f76a7b5ed828916a2
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text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"gOoat","amt":"0.9"}h!
hbitworkcd6845mrequest_realmdaspmenonce
text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"369P","amt":"1000"}h!
text/plain;charset=utf-8
8{"p":"brc-20","op":"transfer","tick":"gOoat","amt":"10"}h!
text/plain;charset=utf-8
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text/plain;charset=utf-8
@{"p":"brc-20","op":"transfer","tick":"
","amt":"10000000000"}h!
text/plain;charset=utf-8
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text/plain;charset=utf-8
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text/plain;charset=utf-8
@{"p":"brc-20","op":"transfer","tick":"
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text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"dapp","amt":"1000"}h!
text/plain;charset=utf-8
@{"p":"brc-20","op":"transfer","tick":"
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
text/plain;charset=utf-8
B{"p":"brc-20","op":"transfer","tick":"
 ","amt":"100000000000"}h!
text/plain;charset=utf-8
B{"p":"brc-20","op":"transfer","tick":"R
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
text/plain;charset=utf-8
:{"p":"brc-20","op":"transfer","tick":" UBI","amt":"10000"}h!
text/plain;charset=utf-8
:{"p":"brc-20","op":"transfer","tick":"tbci","amt":"50000"}h!
text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"gOoat","amt":"0.2"}h!
text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"gOoat","amt":"1.8"}h!
text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"dapp","amt":"1000"}h!
text/plain;charset=utf-8
8{"p":"brc-20","op":"transfer","tick":"beat","amt":"100"}h!
5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"race","amt":"2500"}h!
text/plain;charset=utf-8
@{"p":"brc-20","op":"transfer","tick":"
","amt":"20020789855"}h!
5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"gOoat","amt":"2.3"}h!
text/plain;charset=utf-8
?{"p":"brc-20","op":"transfer","tick":"
","amt":"6885652558"}h!
text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"MBHI","amt":"5000"}h!
5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
text/plain;charset=utf-8
?{"p":"brc-20","op":"transfer","tick":" UBI","amt":"1000000000"}h!
text/plain;charset=utf-8
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text/plain;charset=utf-8
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text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"dapp","amt":"1000"}h!
5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
text/plain;charset=utf-8
9{"p":"brc-20","op":"transfer","tick":"race","amt":"2500"}h!
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text/plain;charset=utf-8
C{"p":"brc-20","op":"transfer","tick":"ASTRA","amt":"2500000000000"}h!
text/plain;charset=utf-8
7{"p":"brc-20","op":"transfer","tick":"gOoat","amt":"1"}h!
text/plain;charset=utf-8
7{"p":"brc-20","op":"transfer","tick":"beat","amt":"10"}h!
text/plain;charset=utf-8
I{"p":"brc-20","op":"transfer","tick":"ordi","amt":"511.1563629400000000"}h!
@j>from:220USDT(ERC20):0x6b54CD7f6fA3a4DEf5fd66eaa69C464E6A53aC9d
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=j;from:18USDT(BSC):0x16e945F31CD43FCc9163617a32C86199BA9a0F49N
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6j4zB7:to:USDT(TRON):TMcoTEUBGnhyT7cLC6FyWUThPrjH4E9Udz
6j4gkc:to:USDT(TRON):TDx3AULbHg77WJ4C64SukoKxHfKztjQQgn
33333333333333333333333333333333S
33333333333333333333333333333333S
Aj?=:BSC.BNB:0xE1E0194629DEbD759a94Ed33AB628441D12AbbbE:2076352221
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H{"p":"brc-20","op":"deploy","tick":"CHAY","lim":"1000","max":"21000000"}h!
QjLN=:ETH.USDT:0x7a6598da4605fee59bda06788f64432c6ae913ca:18686546923866/1/0:wr:40p
QjLN=:THOR.RUNE:thor15afzn66232t5n02h7cgcp4mvgtdqx7nmnnlx06:190416545501/1/0:rj:50
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:{"p":"brc-20","op":"transfer","tick":"
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>stamp:{"p":"src-20","op":"tranJ
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@stamp:{"p":"src-20","op":"tranJ
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kmint_tickerddogeenonce
kmint_tickerddogeenonce
kmint_tickerddogeenonce
text/plain;charset=utf-8
={"p":"brc-20","op":"transfer","tick":" UBI","amt":"49890000"}h!
kmint_tickerddogeenonce
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9{"p":"brc-20","op":"transfer","tick":"Aldo","amt":"6000"}h!
text/plain;charset=utf-8
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@{"p":"brc-20","op":"transfer","tick":"ASTRA","amt":"2500000000"}h!
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={"p":"brc-20","op":"transfer","tick":" UBI","amt":"49980000"}h!
kmint_tickerddogeenonce
kmint_tickerddogeenonce
kmint_tickerddogeenonce
kmint_tickerddogeenonce
kmint_tickerddogeenonce
text/plain;charset=utf-8
:{"p":"brc-20","op":"transfer","tick":"hsbc","amt":"50000"}h!
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:{"p":"brc-20","op":"transfer","tick":"hsbc","amt":"50000"}h!
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={"p":"brc-20","op":"transfer","tick":"RSK  ","amt":"1000000"}h!
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DjB0x8348bd5e06f7996b6d2e691c9e3a50a7fb22b9a3eb6d1c9137418d33cfe75786
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"rabt","amt":"1000"}h!
5{"p":"brc-20","op":"mint","tick":"rabt","amt":"1000"}h!
5{"p":"brc-20","op":"mint","tick":"rabt","amt":"1000"}h!
5{"p":"brc-20","op":"mint","tick":"rabt","amt":"1000"}h!
5{"p":"brc-20","op":"mint","tick":"rabt","amt":"1000"}h!
5{"p":"brc-20","op":"mint","tick":"rabt","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"rabt","amt":"1000"}h!
5{"p":"brc-20","op":"mint","tick":"rabt","amt":"1000"}h!
5{"p":"brc-20","op":"mint","tick":"rabt","amt":"1000"}h!
5{"p":"brc-20","op":"mint","tick":"rabt","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"rabt","amt":"1000"}h!
jtrait_typejBACKGROUNDevaluejBackground
jtrait_typedBASEevaluehWolf Pup
jtrait_typefOUTFITevaluejBTC Hoodie
jtrait_typedEYESevalueqBilly Cat GlassesR
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oceanbiomedicalinc.btch
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oceanbiomedical.btch
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theintergroupcorporation.btch
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agorahospitality.btch!
jtrait_typejBACKGROUNDevaluejBackground
jtrait_typedBASEevaluehWolf Pup
jtrait_typefOUTFITevaluejBTC Hoodie
jtrait_typedEYESevalueqThug Life Glasses
jtrait_typedHEADevalueqKarate Headband W
jtrait_typeeMOUTHevaluehTongue WR
      <!DOCTYPE html>
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Sh/Foundry USA Pool #dropgold/
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jtrait_typejBACKGROUNDevaluejBackground
jtrait_typedBASEevaluehWolf Pup
jtrait_typeeMOUTHevaluehTongue WR
      <!DOCTYPE html>
      <html lang="en">
        <meta charset="UTF-8">
        <meta name="viewport" content="width=device-width, initial-scale=1.0">
        <title>3D Card Wrapper</title>
          body { margin: 0; overflow: hidden; }
          #card-frame { width: 100vw; height: 100vh; border: none; overflow: hidden; }
          document.addEventListener("DOMContentLoaded", () => {
            const params = {"traits":["996e510fe11560ed963b19a5M
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jtrait_typejBACKGROUNDevaluejBackground
jtrait_typedBASEevalueiShiba Inu
jtrait_typeeMOUTHevaluehTongue SR
      <!DOCTYPE html>
      <html lang="en">
        <meta charset="UTF-8">
        <meta name="viewport" content="width=device-width, initial-scale=1.0">
        <title>3D Card Wrapper</title>
          body { margin: 0; overflow: hidden; }
          #card-frame { width: 100vw; height: 100vh; border: none; overflow: hidden; }
          document.addEventListener("DOMContentLoaded", () => {
            const params = {"traits":["996e510fe11560ed963b19a5M
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            const queryString = Object.keys(params)
              .map((key) => {
                if (Array.isArray(params[key])) {
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            document.getElementById("card-frame").src = `/content/69d70766bc6d23bc77ff2d4fc126b7fbc3ac76b19119807bb93519bbe70634fbi0?${queryString}
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jtrait_typejBACKGROUNDevaluejBackground
jtrait_typedBASEevalueiShiba Inu
jtrait_typefOUTFITevaluejSuit & Tie
jtrait_typeeMOUTHevaluehTongue SR
      <!DOCTYPE html>
      <html lang="en">
        <meta charset="UTF-8">
        <meta name="viewport" content="width=device-width, initial-scale=1.0">
        <title>3D Card Wrapper</title>
          body { margin: 0; overflow: hidden; }
          #card-frame { width: 100vw; height: 100vh; border: none; overflow: hidden; }
          document.addEventListener("DOMContentLoaded", () => {
            const params = {"traits":["996e510fe11560ed963b19a5M
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            const queryString = Object.keys(params)
              .map((key) => {
                if (Array.isArray(params[key])) {
                  return `${key}=${encodeURIComponent(JSON.stringify(params[key]))}`;
                return `${keyM
}=${encodeURIComponent(params[key])}`;
              .join("&");
            document.getElementById("card-frame").src = `/content/69d70766bc6d23bc77ff2d4fc126b7fbc3ac76b19119807bb93519bbe70634fbi0?${queryString}
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FjDOUT:A9FC9F20DBD49218ECB40B231CD7B0644F9894C46D55F97EF7F078B6E302759B
FjDOUT:B504C2ADD929E5D773BFBF1E938DB0F08A545F0C9F742953D60384F89F556213
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/j-VFe:to:TRX:TFquY9jcUFXSgbLHCcDenVpvUwpW245nen
6j4vek:to:USDT(TRON):TV6y9xqUDLMMQWdLkraNupMAZFYysDriye
?stamp:{"p":"src-20","op":"tranJ
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@stamp:{"p":"src-20","op":"tranJ
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2j0to:USDT(TRON):THSvXGZ5RpngPZXqeKN9pCBorvKhfBbfHX
2j0to:USDT(TRON):TDVUv51kEftCARZyfKgShvjh2bGR8CE58j
2j0to:USDT(TRON):TV6x9croHKjtGXHZtwNmHLytLi7CsyVWLx
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kmint_tickerddogeenonce
kmint_tickerddogeenonce
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;{"p":"brc-20","op":"transfer","tick":"Aldo","amt":"120000"}h!
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:{"p":"brc-20","op":"transfer","tick":"Aldo","amt":"12000"}h!
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:{"p":"brc-20","op":"transfer","tick":"btuo","amt":"20000"}h!
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;{"p":"brc-20","op":"transfer","tick":"Aldo","amt":"120000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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5{"p":"brc-20","op":"mint","tick":"hsbc","amt":"1000"}h!
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Sh/Foundry USA Pool #dropgold/
7j5INP:to:ETH:0xBe5273ba6a189f242468d9B49230D7341EEA4138
FjDOUT:849246207FB43E2E73A5F15D702772BE48977354B753987300C4B3AA87A42E4B
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kmint_tickerddogeenonce
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2025-06-17T23:09:46+00:00
2025-06-17T23:09:46+00:00
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Sh/Foundry USA Pool #dropgold/
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 CDA AI Immutable Audit Ledger Technology | Sentinel Protocol v3.0
 Patent Pending Confirmation
**Title:** System and Method for Mandatory Human-Supervised AI-Human Synergy
 Audit Logging Using Multi-Layer Blockchain Anchoring, Cryptographic Chain Validation, and Real-Time Ethics Enforcement
**Inventor:** Dr. Fernando Telles
**Assignee:** Telles Investments Pty Ltd
**Jurisdictions:** Australia
**Filing Type:** Provisional Patent (Dual-Jurisdiction)
- Australia: 17 June 2025 (AU2025902482)
- United States: 19 June 2025 (US63/826,381)
 17 June 2025 (global anchor)
This invention discloses a technically specific system and method for generating immutable, cryptographically-secured audit logs that enforce mandatory human oversight in artificial intelligence (AI) decision-making processes through a proprietary AI-Human Synergy
 architecture. The system solves the critical technical problem of unverifiable AI reasoning chainM
s and absent human accountability mechanisms that prevent safe AI deployment in high-stakes environments including clinical research, regulatory compliance, and legal documentation.
**Technical Innovation:** The invention implements a multi-layer validation architecture comprising: (1) a mandatory human approval gate that programmatically prevents publication of AI output without explicit human-signed approval, (2) a dual-hash cryptographic verification system (SHA256 + RIPEMD160) that creates tamper-evident auditM
 trails, (3) real-time blockchain anchoring via Bitcoin OP_RETURN transactions with ordinal inscription capabilities, and (4) an embedded ethics firewall that automatically terminates processing upon detection of fabricated sources, statistical anomalies exceeding predefined thresholds, or unauthorized AI overrides.
**Practical Application:** The system transforms abstract AI-human collaboration concepts into concrete technical improvements by implementing programmatic constraints that enforce human decision authoM
rity, prevent AI hallucination propagation, and create legally-admissible audit trails. Unlike generic AI oversight systems, this invention mandates specific technical protocols including cryptographic checksums for all data transformations, Bitcoin ordinal timestamping for immutable proof of human intervention, and API-accessible verification endpoints that enable third-party audit validation without exposing underlying content.
 Protocol Implementation:** The proprietary AI-Human Synergy
framework operates as a systematic constraint mechanism rather than descriptive terminology, implementing specific technical requirements including: mandatory human approval IDs embedded in cryptographic signatures, live ethics enforcement hooks and escalation triggers, with partial automation implemented in LLM memory systems and full protocol governance handled via human-verified audit logs. Termination of execution is enforced in select conditions, including human attempts to fabricate audit trails or override fM
inal outputs without timestamp compliance. Real-time drift detection and anomaly flags are in development for next-generation firewall expansion.
1. **Multi-Agent Memory Governance System** implementing role-based write permissions across distributed AI nodes with mandatory human oversight checkpoints and automatic divergence detection protocols.
2. **Cryptographic Audit Chain Architecture** utilizing dual-hash verification (SHA256 + RIPEMD160) combined with OpenTimestamps (OTS) protocolM
 integration and Bitcoin OP_RETURN anchoring for tamper-evident audit trail generation.
3. **Real-Time Ethics Enforcement Engine** enforcing execution governance via ethics firewall rules that prevent override without cryptographic or timestamped validation. Fabricated input is blocked during LLM execution by native firewall constraints and human audit enforcement. Statistical anomaly monitoring is currently under expansion for future automation.
4. **Blockchain-Anchored Human Validation Protocol** requiring crypM
tographically-signed human approval credentials for all AI output releases, with Bitcoin ordinal inscription providing permanent public verification endpoints.
5. **Interoperable Audit API Framework** enabling third-party verification of audit integrity without content exposure, supporting regulatory compliance across clinical, legal, and financial domains.
6. **Mandatory Human Oversight Architecture** implementing programmatic blocks preventing AI autonomous operation through technical constraints including apprM
oval gate mechanisms, credential verification systems, and real-time monitoring protocols.
## Commercial Applications
- **Clinical Research Reproducibility:** Systematic review and meta-analysis audit logging with PROSPERO protocol compliance and statistical validation checkpoints
- **Regulatory Compliance Infrastructure:** Automated audit trail generation for FDA, EMA, and other regulatory submissions with cryptographic verification capabilities
- **Legal Documentation Systems:** Tamper-evident audit logsM
 for AI-assisted legal research with blockchain-anchored human oversight records
- **Enterprise AI Governance:** Multi-tenant audit systems enabling organizational AI compliance monitoring with role-based access controls
## Implementation Status
- **Operational System:** Complete AI-Human Synergy Sentinel Protocol
 v3.0 deployment with 134+ validated meta-analysis executions demonstrating full reproducibility from source data to final outputs
- **Blockchain Integration:** Active Bitcoin OP_RETURN anchorM
ing across 5+ transactions with optional ordinal inscription pilot execution completed for public audit verification
- **Cryptographic Validation:** SHA256 + RIPEMD160 dual-hash system operational with OpenTimestamps integration providing decentralized time-anchoring capabilities
- **Ethics Firewall:** Preliminary enforcement engine operational. Core logic includes structured termination rules for human-inserted fabrication, LLM hallucination interception, and unauthorized override resistance. Statistical drift dM
etection in roadmap. Full automation in development.
- **Clinical Validation:** Partial validation completed on benchmark meta-analysis (Telles et al., Pediatrics, 2020; DOI: 10.1542/peds.2020-0146). Pilot confirmation of all core modules achieved: AI-human screening, OCR extraction, 134 reproducible forest plots, audit-integrated funnel plot generation. Meta-regression module and PDF annotation extraction pipeline in progress.
- **PROSPERO Registration:** Public protocol CRD420251065371 demonstrating AI-Human SynM
 systematic constraint implementation in real-world clinical research
- **Trademark Protection:** Filed applications for AI-Human Synergy
 (#2535745) and AI-Human Synergy Sentinel Protocol
 (#2549093) establishing proprietary technical constraint frameworks
- **Patent Protection:** Provisional Patent filed (AU #2025902482, US #63/826,381). Filing process self-audited using the system
s own dual-hash (2HA) and OP_RETURN mechanisms
 anchored via Bitcoin TXIDs: 964e6b06a207363be59e853bedbd1dddf21ba5dM
881b8d7d1a5e4e8e383c7bc48 and 8c2eb08d7a58edf0ea2178fe0d81218dd0b5d15bc71cc6fca0a840ad8fee741d.
- **API Development:** Interoperable verification endpoints under development (target: https://www.meta-analysis.ai) enabling third-party audit validation capabilities
| Artifact Type          | Identifier                                       | Verification Anchor |
|------------------------|--------------------------------------------------|----------------------|
      | TXID: `8c2eb08d7a58edf0ea2178fe0d81218dd0b5d15bc71cc6fca0a840ad8fee741d` | Block Height: `901855` |
 OP_RETURN (AU)       | TXID: `964e6b06a207363be59e853bedbd1dddf21ba5d881b8d7d1a5e4e8e383c7bc48` | Block Height: `901599` |
 Audit Log SR035      | `audit_log_MVP1-SR035.json`                      | SHA256: `b826ea7480c0af926b2465cee590868721ccff38469561fd24983d7468e99820` 2HA (RIPEMD160): `41d5a18e1da9df37d37a2faeaa62f7c1e32939b7` OTS File: `audit_log_MVP1-SR035_20250619T034308.416112Z.hash.ots` M
 Audit Log SR034      | `audit_log_MVP1-SR034.json`                      | SHA256: `659d9d4d7999c65fa947f1e883018080d721e3bdc7c88d90907d7237281a8567` 2HA (RIPEMD160): `a9bf365060bb7c6b0c945d133755efdb5902014e` OTS File: `audit_log_MVP1-SR034_20250617T073007.955006Z.hash.ots` |
 Ordinal Chain Position
This inscription serves as the canonical audit confirmation for the patent activation of Sentinel Protocol
 system under CDA AI governance.
t automate humans out
 we amplify human reasoning in.**
#SentinelProtocol #AIHumanSynergy #PatentPendingh!
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Sh/Foundry USA Pool #dropgold/
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blk04928.txt blk04929.txt blk04930.txt blk04931.txt blk04932.txt blk04933.txt blk04934.txt blk04935.txt blk04936.txt blk04937.txt blk04938.txt blk04939.txt blk04940.txt blk04941.txt blk04942.txt blk04943.txt blk04944.txt blk04945.txt blk04946.txt blk04947.txt blk04948.txt blk04949.txt blk04950.txt blk04951.txt blk04952.txt blk04953.txt blk04954.txt blk04955.txt blk04956.txt blk04957.txt blk04958.txt blk04959.txt blk04960.txt blk04961.txt blk04962.txt blk04963.txt blk04964.txt blk04965.txt blk04966.txt blk04967.txt blk04968.txt blk04969.txt blk04970.txt blk04971.txt blk04972.txt blk04973.txt blk04974.txt blk04975.txt blk04976.txt blk04977.txt blk04978.txt blk04979.txt blk04980.txt blk04981.txt blk04982.txt blk04983.txt blk04984.txt blk04985.txt blk04986.txt blk04987.txt blk04988.txt blk04989.txt blk04990.txt blk04991.txt blk04992.txt blk04993.txt blk04994.txt Show all files