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dnamejTime Lineskdescriptiony
Time Lines is a dynamic digital artwork that evolves with the passage of time. Designed to reflect the continuous flow of time, the piece generates unique lines every second, creating an ever-changing visual narrative. Each line's position, length, colour, and transparency are determined by precise mathematical algorithms, ensuring no two moments are ever identical. The background colour shifts hourly based on the observers local time, reflecting hues synonymous with different period
s of the day from the deep blues of midnight to the warm oranges of dawn, the bright yellows of midday, and the purples of dusk. Time Lines captures the ephemeral essence of each moment, making every viewing a unique experience tailored to the exact second. Inscribed on a Block 9 450x satoshi, this artwork parallels the permanence of time with the unchangeable nature of the blockchain, emphasizing the enduring and immutable qualities of both.fartistcNFD
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Tf/Foundry USA Pool #dropgold/
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dnameoPonzi Cats #266kdescriptionlPonzicats...hfile_urlx
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Mined by AntPool806l
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    <meta charset="UTF-8">
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//magiceden.io/ordinals/marketplace/fusion" target="_blank">Buy Mint Pass</a>
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        let idArray = identifiers.split(',');
        function generateFusion() {
            const existingCanvas = document.querySelector('canvas');
            if (existingCanvas) {
                existingCanvas.remove();
            sat = document.getElementById('satInput').value;
            console.log("Sat Number:", sat);
            seed = parseInt(sat);
            borderSize = 30 + Math.floor(seededRandom() * (130 - 30));
            console.log("Border Size:", borderSM
            new p5(sketch, 'art-container');
        function sketch(p) {
            p.preload = function() {
                let randomIndex = Math.floor(seededRandom() * idArray.length);
                let selectedIdentifier = idArray[randomIndex];
                let imageUrl = `/content/${selectedIdentifier}`;
                img = p.loadImage(imageUrl);
            p.setup = function() {
                p.pixelDensity(4);
                let scaledWM
idth = 1070 * scale_factor;
                let scaledHeight = 1300 * scale_factor;
                img.resize(scaledWidth, scaledHeight);
                p.createCanvas(scaledWidth, scaledHeight);
                setBorderColor(p);
                dv = 2 + Math.floor(seededRandom() * (10 - 2));
                console.log("Recursion Level:", dv);
                threshold = 25 + Math.floor(seededRandom() * (120 - 25));
                p.textSize(11 * scale_factor);
                p.noLoop();
            p.draw = function() {
                p.background(borderColor);
                let scaledBorderSize = borderSize * scale_factor;
                let mosaicX = scaledBorderSize;
                let mosaicY = scaledBorderSize;
                let mosaicWidth = p.width - scaledBorderSize * 2;
                let mosaicHeight = p.height - scaledBorderSize * 2;
                RG(p, mosaicX, mosaicY, mosaicWidth, mosaicHeight, dv);
                let numCols = 10 + (seededRandom() * (40 M
                let numRows = 10 + (seededRandom() * (40 - 10));
                let gridCellWidth = mosaicWidth / numCols;
                let gridCellHeight = mosaicHeight / numRows;
                let satIndex = 0;
                for (let i = 0; i < numCols; i++) {
                    for (let j = 0; j < numRows; j++) {
                        let num = sat[satIndex % sat.length];
                        let randomOpacity = seededRandom();
                        let minOpacity = 0;
                   let maxOpacity = 50;
                        let opacityValue = Math.floor(randomOpacity * (maxOpacity - minOpacity) + minOpacity) * 255 / 100;
                        let colorX = Math.floor(p.random(mosaicX, mosaicX + mosaicWidth));
                        let colorY = Math.floor(p.random(mosaicY, mosaicY + mosaicHeight));
                        let imgColor = img.get(colorX, colorY);
                        p.fill(p.red(imgColor), p.green(imgColor), p.blue(imgColor), opacityValue);
                        p.blendMode(p.SCREEN);
                        let x = mosaicX + i * gridCellWidth + gridCellWidth / 2;
                        let y = mosaicY + j * gridCellHeight + gridCellHeight / 2;
                        p.textAlign(p.CENTER, p.CENTER);
                        p.text(num, x, y);
                        satIndex++;
                    }
                p.blendMode(p.BLEND);
                pixelSortCanvas(p);
                drawNoiseGrain(p);
        function seededRandom(max = 1, min = 0) {
            seed = (seed * 16807) % 2147483647;
            if (seed < 0) seed += 2147483647;
            return (seed - 1) / 2147483646 * (max - min) + min;
        function setBorderColor(p) {
            if (seededRandom() < 0.5) {
                borderColor = p.color(227, 221, 207);
            } else {
                let rawColor = getAccentColor(p, img);
                borderColor = desaturateColor(p, rawColor, 0M
        function RG(p, xpos, ypos, gwidth, gheight, depth) {
            if (depth > 0 && (seededRandom() < 0.95)) {
                let splitVertically = seededRandom() > 0.5;
                let splitRatio = 0.3 + seededRandom() * (0.7 - 0.3);
                if (splitVertically) {
                    let midY = Math.floor(gheight * splitRatio);
                    RG(p, xpos, ypos, gwidth, midY, depth - 1);
                    RG(p, xpos, ypos + midY, gwidth, gheight - M
                } else {
                    let midX = Math.floor(gwidth * splitRatio);
                    RG(p, xpos, ypos, midX, gheight, depth - 1);
                    RG(p, xpos + midX, ypos, gwidth - midX, gheight, depth - 1);
            } else {
                let patternType = Math.floor(seededRandom() * 4);
                let mixPatterns = seededRandom() < 0.5;
                if (mixPatterns) {
                    let secondaryPatternTypes = [0, 1, 2, 3M
].filter(pt => pt !== patternType);
                    let secondaryPatternType = secondaryPatternTypes[Math.floor(seededRandom() * secondaryPatternTypes.length)];
                    drawPattern(p, xpos, ypos, gwidth * 0.75, gheight * 0.75, patternType);
                    drawPattern(p, xpos + gwidth * 0.25, ypos + gheight * 0.25, gwidth * 0.75, gheight * 0.75, secondaryPatternType);
                } else {
                    drawPattern(p, xpos, ypos, gwidth, gheight, patternType);
        function drawPattern(p, x, y, w, h, patternType) {
            switch (patternType) {
                case 0:
                case 1:
                    let avgColor = getAverageColor(p, x, y, w, h);
                    p.fill(avgColor);
                    p.noStroke();
                    p.rect(x, y, w, h);
                    break;
                case 2:
                    p.stroke(0);
                    p.noFill();
                    drawStrokedPattern(p, x,M
                    break;
                case 3:
                    p.fill(0);
                    p.noStroke();
                    drawDottedPattern(p, x, y, w, h);
                    break;
        function getAverageColor(p, x, y, w, h) {
            let r = 0, g = 0, b = 0;
            let count = 0;
            for (let i = x; i < x + w; i++) {
                for (let j = y; j < y + h; j++) {
                    let c = img.get(i, j);
                    g += p.green(c);
                    b += p.blue(c);
                    count++;
            r = r / count;
            g = g / count;
            b = b / count;
            return p.color(r, g, b);
        function getAccentColor(p, img, scale = 0.25) {
            let smallImg = img.get();
            smallImg.resize(img.width * scale, img.height * scale);
            smallImg.loadPixels();
            const colorM
            const threshold = 1;
            for (let i = 0; i < smallImg.pixels.length; i += 4) {
                let r = smallImg.pixels[i];
                let g = smallImg.pixels[i + 1];
                let b = smallImg.pixels[i + 2];
                let colorKey = `${r},${g},${b}`;
                if (colorCounts[colorKey]) {
                    colorCounts[colorKey]++;
                } else {
                    colorCounts[colorKey] = 1;
      return findMostFrequentColor(p, colorCounts);
        function findMostFrequentColor(p, colorCounts) {
            let accentColor = null;
            let maxCount = 0;
            for (let [key, count] of Object.entries(colorCounts)) {
                if (count > maxCount) {
                    maxCount = count;
                    accentColor = key;
            let [r, g, b] = accentColor.split(',').map(n => parseInt(n));
            return p.colorM
        function desaturateColor(p, col, percentage) {
            const gray = p.lerpColor(col, p.color(128, 128, 128), percentage);
            return gray;
        function drawNoiseGrain(p) {
            let density = p.pixelDensity();
            let noiseGraphics = p.createGraphics(p.width * density, p.height * density);
            noiseGraphics.pixelDensity(1);
            noiseGraphics.loadPixels();
            for (let y = 0; y < noiseGraphics.height; y++) {M
                for (let x = 0; x < noiseGraphics.width; x++) {
                    let grainValue = p.random(255);
                    let index = (x + y * noiseGraphics.width) * 4;
                    noiseGraphics.pixels[index] = grainValue;
                    noiseGraphics.pixels[index + 1] = grainValue;
                    noiseGraphics.pixels[index + 2] = grainValue;
                    noiseGraphics.pixels[index + 3] = 30;
            noiseGraphics.updatePixels();
            p.blendMode(p.OVERLAY);
            p.image(noiseGraphics, 0, 0, p.width, p.height);
            p.blendMode(p.BLEND);
        function drawStrokedPattern(p, x, y, w, h) {
            for (let i = x; i < x + w; i += 5) {
                p.line(i, y, i, y + h);
        function drawDottedPattern(p, x, y, w, h) {
            let dotDistance = 20;
            let startX = x + 5;
            let startY = y + 10;
            let endX = x + w - 5;
     let endY = y + h - 5;
            for (let i = startX; i < endX; i += dotDistance) {
                for (let j = startY; j < endY; j += dotDistance) {
                    p.circle(i, j, 4);
        function pixelSortCanvas(p) {
            p.loadPixels();
            let sortDirection = seededRandom() > 0.5 ? 'horizontal' : 'vertical';
            if (sortDirection === 'horizontal') {
                pixelSortH(p);
            } else {
            p.updatePixels();
        function pixelSortV(p) {
            let imgWidth = p.width;
            let imgHeight = p.height;
            for (let x = 0; x < imgWidth; x++) {
                let columnPixels = [];
                for (let y = 0; y < imgHeight; y++) {
                    let index = (x + y * imgWidth) * 4;
                    let r = p.pixels[index];
                    let g = p.pixels[index + 1];
                    let b = p.M
                    let a = p.pixels[index + 3];
                    let brightness = (r + g + b) / 3;
                    columnPixels.push({ r, g, b, a, brightness });
                let start = 0;
                for (let y = 0; y <= imgHeight; y++) {
                    if (y == imgHeight || columnPixels[y].brightness < threshold) {
                        if (y - start > 1) {
                            let segment = columnPixels.slice(start, y);
              if (invert) {
                                segment.sort((a, b) => b.brightness - a.brightness);
                            } else {
                                segment.sort((a, b) => a.brightness - b.brightness);
                            }
                            for (let i = start; i < y; i++) {
                                columnPixels[i] = segment[i - start];
                            }
                        }
                        start = y + 1;
                for (let y = 0; y < imgHeight; y++) {
                    let sortedColor = columnPixels[y];
                    let index = (x + y * imgWidth) * 4;
                    p.pixels[index] = sortedColor.r;
                    p.pixels[index + 1] = sortedColor.g;
                    p.pixels[index + 2] = sortedColor.b;
                    p.pixels[index + 3] = sortedColor.a;
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                    let r = p.pixels[index];
                    let g = p.pixels[index + 1];
                    let b = p.pixels[index + 2];
                    let a = p.pixels[index + 3];
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                let start = 0;
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                            }
                        }
                        start = x + 1;
                    }
                for (let x = 0; x < imgWidth; x++) {
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                    p.pixels[index] = sortedColor.r;
                    p.pixels[index + 1] = sortedColor.g;
                    p.pixels[index + 2] = sortedColor.b;
                    p.pixels[index + 3] = sortedColor.a;
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QjLNINTERPOL! Associated phone number with this wallet and IP address +79290532525
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Tf/Foundry USA Pool #dropgold/
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The Token is provided 'AS IS', without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose and non-infringement. In no event shall the creators, authors or copyright holders be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwiM
se, arising from, out of or in connection with The Token or the use or other dealings in The Token. The Token does not represent any investment, security, financial instrument, redemption, promise, bearer instrument or commitment of any kind. The Token is intended only for educational and experimentation purposes only and is not backed or supported by any individual or team. There are no future prospects or plans of any kind beyond the educational and experimentation usages of The Token. Any use or interaction withMV
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Truepic Lens CLI in DALL
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Truepic Lens CLI in ChatGPT0Y0
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hbitworkcd9999kmint_tickerisupernovah!
hbitworkcd9999kmint_tickerisupernovah!
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hbitworkcd9999kmint_tickerisupernovah!
hbitworkcd9999kmint_tickerisupernovah!
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Tf/Foundry USA Pool #dropgold/
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etitlex;Certificate of Ownership of a Parcel of Land on Planet MarshLatitudesFrom 0 to 1 DegreesiLongitudeuFrom 79 to 80 Degrees
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kmint_tickerhinfinityh!
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c1\1rOptimistic Palette
kmint_tickerhinfinityh!
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    <meta charset="UTF-8">
    <title>FUSION</title>
        html, body {
            height: 100%;
            margin: 0;
            display: flex;
            flex-direction: column;
            justify-content: space-between;
            align-items: center;
            font-family: Arial, sans-serif;
            background-color: #f0f0f0;
            padding: 20px;
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            padding: 10px;
            font-size: 16px;
            margin-right: 10px;
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            border-radius: 4px;
            width: 200px;
            padding: 20px 10px;
            display: flex;
            flex-direction: column;
            justify-content: center;
            align-items: center;
font-family: Arial, sans-serif;
            font-size: 32px;
            font-weight: Bold;
        .art-container {
            display: flex;
            height: 50vh;
            width: auto;
            padding: 10px 20px;
            font-size: 16px;
            background-color: #000000;
            color: white;
            border: none;
            border-radius: 4px;
            cursor: pointer;
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            background-M
            display: block;
            height: calc(100% - 160px); /* Adjust height to fit within the window */
            width: auto !important;
            max-height: 80%;
    <script src="/content/7e37766541506810ba6399c4b2735121f508bd9209df43dd200bf2316b014594i0"></script>
    <div class="title">FUSION</div>
    <div class="input-container">
        <input type="text" id="satInput" placeholder="Enter rare sat numbM
        <button onclick="generateFusion()">Preview</button>
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93529146901fi0,f5b5879a635ce2bc2e56c00f802eab425a3f2dc2f1909a8f62ca2b8854bd1bb3i0,93909197da2fa9fe776dd949785060d5d4c6beb4d9a5cf201a01a08e81daa653i0,604661a26d48456e730e0a1164fdc451e93379792ae82e466949362f6271334ei0,3ab734d2d66f17aa81f660087b78235f9604397b76843e2ebf00de38cdcc28dbi0,e84fd2b7801e4c8f4a600a9c28cd53ca9f1baa7550b4bb2adbde67f46607d3e1i0,2ab82ab345cc1ac78e8516624504597591ae9a15c1496db269bbfdaaeff3d8abi0,0d6888e3296c15d269b11a98c40929b2b574069e257cf7d398ae78b755f40d23i0,08ba30980352886f04bca37b4875ba292c89M
b4ec2eab5f1b3412613139537f84i0";
        let idArray = identifiers.split(',');
        function generateFusion() {
            const existingCanvas = document.querySelector('canvas');
            if (existingCanvas) {
                existingCanvas.remove();
            sat = document.getElementById('satInput').value;
            console.log("Sat Number:", sat);
            seed = parseInt(sat);
            borderSize = 30 + Math.floor(seededRandom() * (130 - 30));
            console.lM
og("Border Size:", borderSize);
            new p5(sketch, 'art-container');
        function sketch(p) {
            p.preload = function() {
                let randomIndex = Math.floor(seededRandom() * idArray.length);
                let selectedIdentifier = idArray[randomIndex];
                let imageUrl = `/content/${selectedIdentifier}`;
                img = p.loadImage(imageUrl);
                console.log("Gabe's Paintings:", selectedIdentifier);
          p.setup = function() {
                p.pixelDensity(4);
                let scaledWidth = 1070 * scale_factor;
                let scaledHeight = 1300 * scale_factor;
                img.resize(scaledWidth, scaledHeight);
                p.createCanvas(scaledWidth, scaledHeight);
                setBorderColor(p);
                dv = 2 + Math.floor(seededRandom() * (10 - 2));
                console.log("Recursion Level:", dv);
                threshold = 25 + Math.floor(seededRandom() * (120 M
                console.log("Threshold:", threshold);
                p.textSize(11 * scale_factor);
                p.noLoop();
            p.draw = function() {
                p.background(borderColor);
                let scaledBorderSize = borderSize * scale_factor;
                let mosaicX = scaledBorderSize;
                let mosaicY = scaledBorderSize;
                let mosaicWidth = p.width - scaledBorderSize * 2;
                let mosaicHeight = p.height - scaleM
                RG(p, mosaicX, mosaicY, mosaicWidth, mosaicHeight, dv);
                let numCols = 10 + (seededRandom() * (40 - 10));
                console.log("Columns:", numCols);
                let numRows = 10 + (seededRandom() * (40 - 10));
                console.log("Rows:", numRows);
                let gridCellWidth = mosaicWidth / numCols;
                let gridCellHeight = mosaicHeight / numRows;
                let satIndex = 0;
                for (let i = 0; i <M
                    for (let j = 0; j < numRows; j++) {
                        let num = sat[satIndex % sat.length];
                        let randomOpacity = seededRandom();
                        let minOpacity = 0;
                        let maxOpacity = 50;
                        let opacityValue = Math.floor(randomOpacity * (maxOpacity - minOpacity) + minOpacity) * 255 / 100;
                        let colorX = Math.floor(p.random(mosaicX, mosaicX + mosaicWidth));
              let colorY = Math.floor(p.random(mosaicY, mosaicY + mosaicHeight));
                        let imgColor = img.get(colorX, colorY);
                        p.fill(p.red(imgColor), p.green(imgColor), p.blue(imgColor), opacityValue);
                        p.blendMode(p.SCREEN);
                        let x = mosaicX + i * gridCellWidth + gridCellWidth / 2;
                        let y = mosaicY + j * gridCellHeight + gridCellHeight / 2;
                        p.textAlign(p.CENTER, p.CM
                        p.text(num, x, y);
                        satIndex++;
                    }
                p.blendMode(p.BLEND);
                pixelSortCanvas(p);
                drawNoiseGrain(p);
        function seededRandom(max = 1, min = 0) {
            seed = (seed * 16807) % 2147483647;
            if (seed < 0) seed += 2147483647;
            return (seed - 1) / 2147483646 * (max - min) + min;
        function setBM
            if (seededRandom() < 0.5) {
                borderColor = p.color(227, 221, 207);
            } else {
                let rawColor = getAccentColor(p, img);
                borderColor = desaturateColor(p, rawColor, 0.5);
        function RG(p, xpos, ypos, gwidth, gheight, depth) {
            if (depth > 0 && (seededRandom() < 0.95)) {
                let splitVertically = seededRandom() > 0.5;
                let splitRatio = 0.3 + seededRandom() *M
                if (splitVertically) {
                    let midY = Math.floor(gheight * splitRatio);
                    RG(p, xpos, ypos, gwidth, midY, depth - 1);
                    RG(p, xpos, ypos + midY, gwidth, gheight - midY, depth - 1);
                } else {
                    let midX = Math.floor(gwidth * splitRatio);
                    RG(p, xpos, ypos, midX, gheight, depth - 1);
                    RG(p, xpos + midX, ypos, gwidth - midX, gheight, depth - 1);
            } else {
                let patternType = Math.floor(seededRandom() * 4);
                let mixPatterns = seededRandom() < 0.5;
                if (mixPatterns) {
                    let secondaryPatternTypes = [0, 1, 2, 3].filter(pt => pt !== patternType);
                    let secondaryPatternType = secondaryPatternTypes[Math.floor(seededRandom() * secondaryPatternTypes.length)];
                    drawPattern(p, xpos, ypos, gwidth * 0.75, gheight * 0.75, patternType);
           drawPattern(p, xpos + gwidth * 0.25, ypos + gheight * 0.25, gwidth * 0.75, gheight * 0.75, secondaryPatternType);
                } else {
                    drawPattern(p, xpos, ypos, gwidth, gheight, patternType);
        function drawPattern(p, x, y, w, h, patternType) {
            switch (patternType) {
                case 0:
                case 1:
                    let avgColor = getAverageColor(p, x, y, w, h);
                    p.fill(aM
                    p.noStroke();
                    p.rect(x, y, w, h);
                    break;
                case 2:
                    p.stroke(0);
                    p.noFill();
                    drawStrokedPattern(p, x, y, w, h);
                    break;
                case 3:
                    p.fill(0);
                    p.noStroke();
                    drawDottedPattern(p, x, y, w, h);
                    break;
        function getAveragM
eColor(p, x, y, w, h) {
            let r = 0, g = 0, b = 0;
            let count = 0;
            for (let i = x; i < x + w; i++) {
                for (let j = y; j < y + h; j++) {
                    let c = img.get(i, j);
                    r += p.red(c);
                    g += p.green(c);
                    b += p.blue(c);
                    count++;
            r = r / count;
            g = g / count;
            b = b / count;
            return p.colorM
        function getAccentColor(p, img, scale = 0.25) {
            let smallImg = img.get();
            smallImg.resize(img.width * scale, img.height * scale);
            smallImg.loadPixels();
            const colorCounts = {};
            const threshold = 1;
            for (let i = 0; i < smallImg.pixels.length; i += 4) {
                let r = smallImg.pixels[i];
                let g = smallImg.pixels[i + 1];
                let b = smallImg.pixels[i + 2];
       let colorKey = `${r},${g},${b}`;
                if (colorCounts[colorKey]) {
                    colorCounts[colorKey]++;
                } else {
                    colorCounts[colorKey] = 1;
            return findMostFrequentColor(p, colorCounts);
        function findMostFrequentColor(p, colorCounts) {
            let accentColor = null;
            let maxCount = 0;
            for (let [key, count] of Object.entries(colorCounts)) {
          if (count > maxCount) {
                    maxCount = count;
                    accentColor = key;
            let [r, g, b] = accentColor.split(',').map(n => parseInt(n));
            return p.color(r, g, b);
        function desaturateColor(p, col, percentage) {
            const gray = p.lerpColor(col, p.color(128, 128, 128), percentage);
            return gray;
        function drawNoiseGrain(p) {
            let density = p.pixM
            let noiseGraphics = p.createGraphics(p.width * density, p.height * density);
            noiseGraphics.pixelDensity(1);
            noiseGraphics.loadPixels();
            for (let y = 0; y < noiseGraphics.height; y++) {
                for (let x = 0; x < noiseGraphics.width; x++) {
                    let grainValue = p.random(255);
                    let index = (x + y * noiseGraphics.width) * 4;
                    noiseGraphics.pixels[index] = grainValue;
  noiseGraphics.pixels[index + 1] = grainValue;
                    noiseGraphics.pixels[index + 2] = grainValue;
                    noiseGraphics.pixels[index + 3] = 30;
            noiseGraphics.updatePixels();
            p.blendMode(p.OVERLAY);
            p.image(noiseGraphics, 0, 0, p.width, p.height);
            p.blendMode(p.BLEND);
        function drawStrokedPattern(p, x, y, w, h) {
            for (let i = x; i < x + w; i += 5) {
 p.line(i, y, i, y + h);
        function drawDottedPattern(p, x, y, w, h) {
            let dotDistance = 20;
            let startX = x + 5;
            let startY = y + 10;
            let endX = x + w - 5;
            let endY = y + h - 5;
            for (let i = startX; i < endX; i += dotDistance) {
                for (let j = startY; j < endY; j += dotDistance) {
                    p.circle(i, j, 4);
        function pixM
            p.loadPixels();
            let sortDirection = seededRandom() > 0.5 ? 'horizontal' : 'vertical';
            if (sortDirection === 'horizontal') {
                pixelSortH(p);
            } else {
                pixelSortV(p);
            p.updatePixels();
        function pixelSortV(p) {
            let imgWidth = p.width;
            let imgHeight = p.height;
            for (let x = 0; x < imgWidth; x++) {
                let columnPM
                for (let y = 0; y < imgHeight; y++) {
                    let index = (x + y * imgWidth) * 4;
                    let r = p.pixels[index];
                    let g = p.pixels[index + 1];
                    let b = p.pixels[index + 2];
                    let a = p.pixels[index + 3];
                    let brightness = (r + g + b) / 3;
                    columnPixels.push({ r, g, b, a, brightness });
                let start = 0;
                for (leM
t y = 0; y <= imgHeight; y++) {
                    if (y == imgHeight || columnPixels[y].brightness < threshold) {
                        if (y - start > 1) {
                            let segment = columnPixels.slice(start, y);
                            if (invert) {
                                segment.sort((a, b) => b.brightness - a.brightness);
                            } else {
                                segment.sort((a, b) => a.brightness - b.brightness);
                            }
                            for (let i = start; i < y; i++) {
                                columnPixels[i] = segment[i - start];
                            }
                        }
                        start = y + 1;
                    }
                for (let y = 0; y < imgHeight; y++) {
                    let sortedColor = columnPixels[y];
                    let index = (x + y * imgWidth) * 4;
                    p.pixels[index] = sortedColor.r;
                    pM
.pixels[index + 1] = sortedColor.g;
                    p.pixels[index + 2] = sortedColor.b;
                    p.pixels[index + 3] = sortedColor.a;
        function pixelSortH(p) {
            let imgWidth = p.width;
            let imgHeight = p.height;
            for (let y = 0; y < imgHeight; y++) {
                let rowPixels = [];
                for (let x = 0; x < imgWidth; x++) {
                    let index = (x + y * imgWidth) * 4;
           let r = p.pixels[index];
                    let g = p.pixels[index + 1];
                    let b = p.pixels[index + 2];
                    let a = p.pixels[index + 3];
                    let brightness = (r + g + b) / 3;
                    rowPixels.push({ r, g, b, a, brightness });
                let start = 0;
                for (let x = 0; x <= imgWidth; x++) {
                    if (x == imgWidth || rowPixels[x].brightness < threshold) {
                        M
if (x - start > 1) {
                            let segment = rowPixels.slice(start, x);
                            if (invert) {
                                segment.sort((a, b) => b.brightness - a.brightness);
                            } else {
                                segment.sort((a, b) => a.brightness - b.brightness);
                            }
                            for (let i = start; i < x; i++) {
                                rowPixels[i] = segment[i - start];
                        }
                        start = x + 1;
                    }
                for (let x = 0; x < imgWidth; x++) {
                    let sortedColor = rowPixels[x];
                    let index = (x + y * imgWidth) * 4;
                    p.pixels[index] = sortedColor.r;
                    p.pixels[index + 1] = sortedColor.g;
                    p.pixels[index + 2] = sortedColor.b;
                    p.pixels[index + 3] = sortedColor.a;
text/plain;charset=utf-8
2{"p":"sns","op":"reg","name":"moon1688.uniworlds"}h!
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9{"p":"brc-20","op":"transfer","tick":"PGID","amt":"5000"}h!
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@{"p":"brc-20","op":"transfer","tick":"
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:{"p":"brc-20","op":"transfer","tick":"evlv","amt":"50000"}h!
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={"p":"brc-20","op":"transfer","tick":"rats","amt":"20000000"}h!
,j*0x5e882991CEB26DE96b8528b8797a16839A1e5408
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@{"p":"brc-20","op":"transfer","tick":"
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>j<+:BTC.BTC:thor19htnxgdvh0pjqnxl2ta5rpf23yc7uj7cdrlxvj:wr:100
FjDOUT:A4807B8A5DFC8B6794A68A455FACB55C958F3D659488A4B868D3E06E969E7AB0
Bj@=:BSC.BNB:0xCde02b9d76677EC398519Ae444839f01226524aD:0/1/0:ti:70
FjDOUT:E253585224D197E92282DB7DD52461F2D424BCF2221FE73CDFE3CA60A8C21D64
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@{"p":"brc-20","op":"transfer","tick":"
","amt":"30000000000"}h!
{"p":"tap","op":"dmt-mint","dep":"4d967af36dcacd7e6199c39bda855d7b1b37268f4c8031fed5403a99ac57fe67i0","tick":"nat","blk":"845446"}h!
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9{"p":"brc-20","op":"transfer","tick":"TFER","amt":"3000"}h!
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:{"p":"brc-20","op":"transfer","tick":"TFER","amt":"10000"}h!
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:{"p":"brc-20","op":"transfer","tick":"DNCX","amt":"37666"}h!
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8{"p":"brc-20","op":"transfer","tick":"PIZA","amt":"100"}h!
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A{"p":"brc-20","op":"transfer","tick":"
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{"p":"tap","op":"dmt-mint","dep":"4d967af36dcacd7e6199c39bda855d7b1b37268f4c8031fed5403a99ac57fe67i0","tick":"nat","blk":"845450"}h!
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C{"p":"brc-20","op":"transfer","tick":"satx","amt":"15000000000000"}h!
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:{"p":"brc-20","op":"mint","tick":"ruja","amt":"718750000"}h!
<{"p":"tap","op":"token-transfer","tick":"GIB","amt":"30000"}h!
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8{"p":"brc-20","op":"transfer","tick":"zbit","amt":"100"}h!
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Lb{"p":"brc-20","op":"deploy","tick":"Btces","lim":"369369369","max":"369369369","self_mint":"true"}h!
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?{"p":"brc-20","op":"transfer","tick":"
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:{"p":"brc-20","op":"mint","tick":"ruja","amt":"718750000"}h!
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5{"p":"brc-20","op":"mint","tick":"doge","amt":"4200"}h!
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:{"p":"brc-20","op":"transfer","tick":"slor","amt":"45200"}h!
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:{"p":"brc-20","op":"mint","tick":"ruja","amt":"718750000"}h!
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?{"p":"brc-20","op":"transfer","tick":"sats","amt":"1000000000"}h!
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1{"p":"sns","op":"reg","name":"dog1688.uniworlds"}h!
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:{"p":"brc-20","op":"transfer","tick":"W
""""""""""""""""""""""""""""""""S
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:{"p":"brc-20","op":"mint","tick":"ruja","amt":"718750000"}h!
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2{"p":"sns","op":"reg","name":"moon2688.uniworlds"}h!
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