\n\n \n

Claude Fable v5 Evolution

Deep Neural Structural Adaptation Matrix

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\n Population Max Threshold\n

\n \n 750\n

\n\n

\n Mutation Variance Rate\n

\n \n 0.25\n

\n\n

\n Natural Depletion Speed\n

\n \n 0.0015\n

\n\n \n \n

\n\n \n

Mesh Ecosystem Analytics

Engine Speed:60 FPS

Total Cells Count:0

Evolved Generations:1

Avg Food Affin. DNA:0.00

Avg Cluster Affin. DNA:

\n\n \n

Genome Vector Engine

Behavior Engine Flag:None

Tap/Click on any living node point to sequence its dynamic logical parameters...

\n\n \n

FEEDCULLSPAWNFLUSHconst canvas = document.getElementById('mainCanvas');const ctx = canvas.getContext('2d');let width = canvas.width = window.innerWidth;let height = canvas.height = window.innerHeight;// Smart Re-initialization Handling across Resizing Eventswindow.addEventListener('resize', () => {width = canvas.width = window.innerWidth;height = canvas.height = window.innerHeight;initSimulation();});// Global Adaptive Engine Configuration Matrixconst state = {maxCells: 750,mutationRate: 0.25,decayRate: 0.0015,generation: 1,showMobileHUD: false};const thoughtsLibrary = {hunting: [\"Scanning local vector gradients for high-density nourishment packages.\", \"Kinematic path execution locked onto environmental input targets.\", \"Prioritizing metabolic conversion loops via systemic positioning.\"],reproducing: [\"Energy density saturation values exceeded. Initializing mitosis sequences.\", \"Executing genetic structural copying protocol over network channels.\", \"Preparing chromosome matrix distribution profiles for lineage propagation.\"],flocking: [\"Aligning locomotion pathways with local structural cluster center masses.\", \"Syncing regional telemetry data layers with proximate agent units.\", \"Mitigating topological fluid drag profiles via swarm configuration layout.\"]};// Nourishment Data Coordinates Instantiation Logicclass FoodNode {constructor() {this.x = Math.random() * width;this.y = Math.random() * height;this.value = 15;}draw() {ctx.beginPath();ctx.arc(this.x, this.y, 3, 0, Math.PI * 2);ctx.fillStyle = \"#00ff66\";ctx.fill();}}// Deep Algorithmic Evolutionary Cell Component Engineclass EvolvingCell {constructor(x, y, inheritedWeights = null) {this.x = x || Math.random() * width;this.y = y || Math.random() * height;this.vx = (Math.random() - 0.5) * 3;this.vy = (Math.random() - 0.5) * 3;// Cognitive Neuro-Weights Configuration Mapif (inheritedWeights) {this.weights = { ...inheritedWeights };} else {this.weights = {foodAttraction: Math.random() * 4 - 2,peerClustering: Math.random() * 4 - 2,randomWalk: Math.random() * 2};}this.energy = 1.0;this.age = 0;this.radius = Math.max(3, 4 + (this.weights.foodAttraction * 0.5));this.dnaSignature = 'GEN-' + Math.random().toString(36).substr(2, 4).toUpperCase();this.currentActivity = \"Initializing Synapse Arrays\";this.cognitiveLogs = [\"Neural architecture sequence compiled successfully.\"];}processEnvironmentalAdapts(foods, peers) {this.age += 0.01;this.energy -= state.decayRate;// Virtual Gamepad Force Injection Vector Processinglet dxJoy = joystickInput.x;let dyJoy = joystickInput.y;if (dxJoy !== 0 || dyJoy !== 0) {this.vx += dxJoy * 0.15;this.vy += dyJoy * 0.15;}// Locate Proximity Vectorslet closeFood = null, minDistFood = 99999;foods.forEach(f => {let d = Math.sqrt((f.x - this.x)**2 + (f.y - this.y)**2);if (d < minDistFood) { minDistFood = d; closeFood = f; }});let closePeer = null, minDistPeer = 99999;peers.forEach(p => {if (p === this) return;let d = Math.sqrt((p.x - this.x)**2 + (p.y - this.y)**2);if (d < minDistPeer) { minDistPeer = d; closePeer = p; }});// Formulate Cognitive Vector Drives Matrixif (closeFood && this.weights.foodAttraction > 0) {let force = (this.weights.foodAttraction) * (150 / (minDistFood + 1));this.vx += ((closeFood.x - this.x) / (minDistFood + 1)) * force * 0.05;this.vy += ((closeFood.y - this.x) / (minDistFood + 1)) * force * 0.05;if(Math.random() < 0.005) this.pushThought('hunting');}if (closePeer && Math.abs(this.weights.peerClustering) > 0) {let force = (this.weights.peerClustering) * (100 / (minDistPeer + 1));this.vx += ((closePeer.x - this.x) / (minDistPeer + 1)) * force * 0.05;this.vy += ((closePeer.y - this.y) / (minDistPeer + 1)) * force * 0.05;if(Math.random() < 0.003) this.pushThought('flocking');}// Random walk noise vector injectionthis.vx += (Math.random() - 0.5) * this.weights.randomWalk * 0.3;this.vy += (Math.random() - 0.5) * this.weights.randomWalk * 0.3;// Implement Drag Modulationsthis.vx *= 0.92;this.vy *= 0.92;this.x += this.vx;this.y += this.vy;// Screen Boundary Wrap Loopsif (this.x > width) this.x = 0; if (this.x < 0) this.x = width;if (this.y > height) this.y = 0; if (this.y < 0) this.y = height;// Self-Mitosis Replicating Optimization Checksif (this.energy > 1.6 && cells.length < state.maxCells) {this.executeMitosisMitigate();}}executeMitosisMitigate() {this.energy = 0.8;this.pushThought('reproducing');// Mutate weights during inheritance execution loopslet childWeights = {foodAttraction: this.weights.foodAttraction + (Math.random() - 0.5) * state.mutationRate,peerClustering: this.weights.peerClustering + (Math.random() - 0.5) * state.mutationRate,randomWalk: Math.max(0.1, this.weights.randomWalk + (Math.random() - 0.5) * state.mutationRate)};let child = new EvolvingCell(this.x + (Math.random() - 0.5) * 20, this.y + (Math.random() - 0.5) * 20, childWeights);cells.push(child);}pushThought(type) {let pool = thoughtsLibrary[type];this.currentActivity = type.toUpperCase() + \" RUNTIME\";let text = pool[Math.floor(Math.random() * pool.length)];this.cognitiveLogs.unshift([Age ${this.age.toFixed(1)}] ${text});if (this.cognitiveLogs.length > 10) this.cognitiveLogs.pop();}draw() {ctx.beginPath();ctx.arc(this.x, this.y, this.radius, 0, Math.PI * 2);// Chromatic visual mapping assigned based on genetic prioritieslet red = Math.floor(Math.max(0, Math.min(255, (this.weights.peerClustering + 2) * 60)));let cyan = Math.floor(Math.max(0, Math.min(255, (this.weights.foodAttraction + 2) * 60)));ctx.fillStyle = rgba(${red}, ${cyan}, 255, ${0.4 + this.energy * 0.5});ctx.fill();if (selectedCell === this) {ctx.strokeStyle = varColor('--neon-amber');ctx.lineWidth = 1.5;ctx.stroke();}}}// Core Environment Setup Declarationslet cells = [];let foodNodes = [];let selectedCell = null;let joystickInput = { x: 0, y: 0 };function initSimulation() {cells = [];foodNodes = [];selectedCell = null;document.getElementById('cell-mind-inspector').style.display = 'none';for (let i = 0; i < 300; i++) {cells.push(new EvolvingCell());}for (let j = 0; j < 60; j++) {foodNodes.push(new FoodNode());}}function varColor(varName) {return getComputedStyle(document.documentElement).getPropertyValue(varName).trim();}// Interface Parameter Tracking Configurationsdocument.getElementById('param-cells').addEventListener('input', (e) => {state.maxCells = parseInt(e.target.value);document.getElementById('val-cells').innerText = state.maxCells;});document.getElementById('param-mutation').addEventListener('input', (e) => {state.mutationRate = parseFloat(e.target.value);document.getElementById('val-mutation').innerText = state.mutationRate.toFixed(2);});document.getElementById('param-decay').addEventListener('input', (e) => {state.decayRate = parseFloat(e.target.value);document.getElementById('val-decay').innerText = state.decayRate;});document.getElementById('btn-force-selection').addEventListener('click', () => {executeCullOptimization();});document.getElementById('btn-toggle-input-mode').addEventListener('click', () => {state.showMobileHUD = !state.showMobileHUD;const displayStyle = state.showMobileHUD ? 'flex' : 'none';document.getElementById('mobile-joystick-left').style.display = displayStyle;document.getElementById('mobile-action-pad').style.display = displayStyle;});function executeCullOptimization() {if (cells.length < 10) return;state.generation++;// Order allocation structures based on survival densities (energy)cells.sort((a,b) => b.energy - a.energy);let survivorBoundaryCount = Math.floor(cells.length * 0.4);// Retain top fitness nodes, reconstruct lower bounds with mutated variationslet survivors = cells.slice(0, survivorBoundaryCount);cells = [...survivors];while(cells.length < survivorBoundaryCount * 2.5 && cells.length < state.maxCells) {let parent = survivors[Math.floor(Math.random() * survivors.length)];cells.push(new EvolvingCell(parent.x + (Math.random()-0.5)*30, parent.y + (Math.random()-0.5)*30, parent.weights));}}// Unified Interaction Capture Engine (Supports Touch & Mouse)function handlePointerSelection(clientX, clientY) {let clickedNode = null;for (let cell of cells) {let d = Math.sqrt((cell.x - clientX)**2 + (cell.y - clientY)**2);if (d < 22) { clickedNode = cell; break; }}if (clickedNode) {selectedCell = clickedNode;document.getElementById('cell-mind-inspector').style.display = 'block';updateInspectorData();} else if (clientX > 340 || clientY > 300) {selectedCell = null;document.getElementById('cell-mind-inspector').style.display = 'none';}}window.addEventListener('mousedown', (e) => {if(e.clientX < 340 && e.clientY < 350) return; // Ignore parameter overlay box spaceshandlePointerSelection(e.clientX, e.clientY);});function updateInspectorData() {if (!selectedCell) return;document.getElementById('inspect-title').innerText = Genome Profiler: ${selectedCell.dnaSignature};document.getElementById('inspect-goal').innerText = selectedCell.currentActivity;document.getElementById('inspect-terminal').innerHTML = Gene Food Attraction: ${selectedCell.weights.foodAttraction.toFixed(3)}
Gene Swarm Attraction: ${selectedCell.weights.peerClustering.toFixed(3)}

+ selectedCell.cognitiveLogs.join(\"\");}// Mobile Virtual Stick Mechanicsconst joyContainer = document.getElementById('mobile-joystick-left');const joyKnob = document.getElementById('joystick-knob-left');let joyActive = false;let joyStartPos = { x: 0, y: 0 };function setupMobileInput() {// Adaptive configuration checks for continuous touch setupsif ('ontouchstart' in window || navigator.maxTouchPoints > 0) {document.getElementById('mobile-joystick-left').style.display = 'flex';document.getElementById('mobile-action-pad').style.display = 'grid';state.showMobileHUD = true;}joyContainer.addEventListener('touchstart', (e) => {joyActive = true;let touch = e.touches[0];let rect = joyContainer.getBoundingClientRect();joyStartPos = { x: rect.left + rect.width/2, y: rect.top + rect.height/2 };});window.addEventListener('touchmove', (e) => {if (!joyActive) return;let touch = e.touches[0];let dx = touch.clientX - joyStartPos.x;let dy = touch.clientY - joyStartPos.y;let dist = Math.sqrt(dxdx + dydy) || 1;let maxDist = 40;if (dist > maxDist) { dx = (dx/dist)*maxDist; dy = (dy/dist)*maxDist; dist = maxDist; }joyKnob.style.transform = translate(${dx}px, ${dy}px);joystickInput = { x: dx / maxDist, y: dy / maxDist };});window.addEventListener('touchend', () => {if (!joyActive) return;joyActive = false;joyKnob.style.transform = 'translate(0px, 0px)';joystickInput = { x: 0, y: 0 };});// Action Pads Intercept Bindingsdocument.getElementById('mbtn-feed').addEventListener('touchstart', (e) => {e.preventDefault(); for(let i=0; i<20; i++) foodNodes.push(new FoodNode());});document.getElementById('mbtn-cull').addEventListener('touchstart', (e) => {e.preventDefault(); executeCullOptimization();});document.getElementById('mbtn-spawn').addEventListener('touchstart', (e) => {e.preventDefault(); for(let i=0; i<30; i++) cells.push(new EvolvingCell());});document.getElementById('mbtn-reset').addEventListener('touchstart', (e) => {e.preventDefault(); initSimulation();});// Map window element clicks for testing mobile views over desktop environments safelywindow.addEventListener('touchstart', (e) => {if (e.target.closest('.glass-panel') || e.target.closest('#mobile-joystick-left') || e.target.closest('#mobile-action-pad')) return;let touch = e.touches[0];handlePointerSelection(touch.clientX, touch.clientY);});}// Computational Loop Iteration Processing Engine Execution Frameworklet framesCounter = 0, lastFrameTime = performance.now();function trackingLoopProcessing() {framesCounter++;let timestamp = performance.now();if (timestamp >= lastFrameTime + 1000) {document.getElementById('stat-fps').innerText = ${framesCounter} FPS;framesCounter = 0; lastFrameTime = timestamp;// Core Genomic Population Density Metric Compilation calculationsdocument.getElementById('stat-active-cells').innerText = cells.length;document.getElementById('stat-gen').innerText = state.generation;if (cells.length > 0) {let totalFoodDNA = cells.reduce((acc, c) => acc + c.weights.foodAttraction, 0);let totalSocialDNA = cells.reduce((acc, c) => acc + c.weights.peerClustering, 0);document.getElementById('stat-dna-food').innerText = (totalFoodDNA / cells.length).toFixed(2);document.getElementById('stat-dna-social').innerText = (totalSocialDNA / cells.length).toFixed(2);}if (selectedCell) updateInspectorData();}// Context clear transformations rendering frame updatesctx.fillStyle = 'rgba(2, 2, 6, 0.25)';ctx.fillRect(0, 0, width, height);// Execute processing pipeline sequences across environmental resourcesif (foodNodes.length < 80 && Math.random() < 0.2) foodNodes.push(new FoodNode());foodNodes.forEach(fn => fn.draw());// Process Agent matrices calculations iteratively loop cyclesfor (let i = cells.length - 1; i >= 0; i--) {let cell = cells[i];cell.processEnvironmentalAdapts(foodNodes, cells);cell.draw();// Proximity nutrition check iterationsfor (let j = foodNodes.length - 1; j >= 0; j--) {let fn = foodNodes[j];if (Math.abs(cell.x - fn.x) < cell.radius + 3 && Math.abs(cell.y - fn.y) < cell.radius + 3) {cell.energy = Math.min(cell.energy + 0.4, 2.0);foodNodes.splice(j, 1);break;}}// Natural cellular death conditionsif (cell.energy <= 0) {if (selectedCell === cell) { selectedCell = null; document.getElementById('cell-mind-inspector').style.display = 'none'; }cells.splice(i, 1);}}requestAnimationFrame(trackingLoopProcessing);}// Initialize App Engine Setup BoundsinitSimulation();setupMobileInput();trackingLoopProcessing(); \n","url","link_url","/p/d5f40kg9661a7tggzwum","versioned_link_url","/p/d5f40kg9661a7tggzwum/3","yapping","**Planning file updates**\n\nI'm working on file edits for the project, which includes index.html, styles.css, and main.js. The code in the prompt is a messy combination of HTML and JavaScript. I'll update main.js with a replacement that integrates a cleaned version, fixing syntax errors like template literals and misplaced elements. It's essential to ensure the elements I reference exist and keep the core functionality intact – including initializing everything and handling the rendering loop. Alright, let's create that replacement code!\n**Confirming code matches**\n\nI need to ensure that the SEARCH text exactly matches the content of the old main.js file. It's important to copy it accurately so that the replacement will correctly align with the existing code. Once I have that, I can proceed with crafting the replacement code. I really want to make sure everything fits together perfectly and works as intended without any surprises. I'll focus on this to keep things efficient!\n\nI will replace the existing main.js with a cleaned, fully functional, syntax-correct version that implements the adaptive-evolution sandbox, mobile joystick support, inspector UI updates, and stable render/interaction loops.\n\nmain.js\n```main.js\n```\n\nSummary: I replaced the old main.js with a cleaned, syntax-correct adaptive-evolution implementation that consolidates the EvolvingCell system, food nodes, inspector updates, mobile joystick handling, culling/mitosis controls, and a stable render/telemetry loop.","cursor","eyJpZCI6ImQ1ZjQwa2c5NjYxYTd0Z2d6d3VtIn0","token","included",[],"routes/browser/layout","actionData","errors"]

Quantum Field Sandbox v4.0