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Here you can Sed posuere consectetur est at lobortis. Donec ullamcorper nulla non metus auctor fringilla. Maecenas sed diam eget risus varius blandit sit amet non magna. Donec id elit non mi porta gravida at eget metus. Praesent commodo cursus magna, vel scelerisque nisl consectetur et.

            
                  <canvas id="canvas"></canvas>

            
          
!
            
                    html, body {
        width:  100%;
        height: 100%;
        margin: 0px;
        padding: 0px;
        overflow: hidden;
      }

      body{
        background: #001;
        text-align: center;
      }

      #canvas{
        display: inline-block;
        position: relative;
        top: 50%;
        transform: translateY(-50%);
        max-width: 100%;
        max-height: 100%;
      }
            
          
!
            
              let canvas = document.querySelector('#canvas');
let ctx = canvas.getContext('2d');

// const colors = ["#82FFEB", "#549FCC", "#116699", "#FFCAC2", "#CC5456"];

function resize(){
  canvas.width = 1920;
  canvas.height = 1000;
}

//window.onresize = resize;
resize();


class Brain{
  constructor(savedBrain){
    this.neurons = [];
    this.synapses = [];
    this.electrons = [];

    if(savedBrain){
      // Load saved neurons
      for(let loadNeuron of savedBrain.neurons){
        let neuron = this.createNeuron();
        Object.keys(loadNeuron).forEach( key => {
          neuron[key] = loadNeuron[key];
        });
        let randomHue = Math.floor(Math.random() * 360);
        neuron.color = `hsl(${randomHue}, 80%, 33%)`;
      }

      // Load saved synapses
      for(let loadSynapse of savedBrain.synapses){
        let from = this.neurons[loadSynapse.from];
        let to = this.neurons[loadSynapse.to];
        from.createSynapse(to);
      }
    }
  }

  createNeuron(){
    let neuron = new Neuron(this, ...arguments);
    neuron.id = this.neurons.length;
    this.neurons.push(neuron);
    return neuron;
  }

  addSynapse(synapse){
    synapse.id = this.synapses.length;
    this.synapses.push(synapse);
  }

  addElectron(electron){
    electron.id = this.electrons.length;
    this.electrons.push(electron);
  }

  JSONstringify(){
    let neurons = JSON.parse(JSON.stringify(this.neurons, (key, value) => {
      if(key === "brain" || key === "synapses"){
        return undefined;
      }
      return value;
    }));

    let synapses = JSON.parse(JSON.stringify(this.synapses, (key, value) => {
      if(key === "brain" || key === "electrons"){
        return undefined;
      }
      if(value instanceof Neuron){
        return value.id;
      }
      return value;
    }));

    let electrons = JSON.parse(JSON.stringify(this.electrons, (key, value) => {
      if(key === "brain"){
        return undefined;
      }
      if(value instanceof Synapse){
        return value.id;
      }
      return value;
    }));

    return JSON.stringify({neurons, synapses, electrons});
  }
}

class Neuron{
  constructor(brain, x, y, color, size){
    this.brain = brain;
    this.x = x;
    this.y = y;
    this.color = color;
    this.size = size * 0.5;
    this.baseSize = size;
    this.sizeVelocity = 1;
    this.synapses = [];
  }

  createSynapse(neuron){
    let synapse = new Synapse(this.brain, this, neuron);
    this.addSynapse(synapse);
    neuron.addSynapse(synapse);
    this.brain.addSynapse(synapse);
    return synapse;
  }

  addSynapse(synapse){
    this.synapses.push(synapse);
  }

  animate(progress){
    let difference = this.baseSize - this.size;
    this.sizeVelocity += difference * progress * 40;
    this.sizeVelocity *= Math.pow(0.03, progress);
    this.size += this.sizeVelocity * progress;
  }
}

class Synapse{
  constructor(brain, from, to){
    this.brain = brain;
    this.from = from;
    this.to = to;

    this.electrons = [];

    if(Math.random() < 0.33){
      this.createElectron();
    }
  }

  createElectron(){
    let electron = new Electron(this.brain, this);
    this.electrons.push(electron);
    this.brain.addElectron(electron);
    return electron;
  }

  removeElectron(removeElectron){
    this.electrons = this.electrons.filter(electron => electron !== removeElectron);
    removeElectron.synapse = undefined;
  }

  getDirection(){
    return Math.atan2(this.from.y - this.to.y, this.from.x - this.to.x);
  }

  addElectron(electron, from){
    if(this.from === from){
      electron.reverseDirection = false;
    }
    else{
      electron.reverseDirection = true;
    }

    this.electrons.push(electron);
    electron.synapse = this;
  }
}

class Electron{
  constructor(brain, synapse){
    this.synapse = synapse;
    this.brain = brain;
    this.size = 10;
    this.reverseDirection = false;
    this.progress = Math.random();
    this.speed = 0.4 + Math.random() * 0.2;
  }

  getFrom(){
    return this.reverseDirection ? this.synapse.to : this.synapse.from;
  }

  getTo(){
    return this.reverseDirection ? this.synapse.from : this.synapse.to;
  }

  getPosition(){
    let x, y;
    let progress = this.reverseDirection ? easeInOutQuad(this.progress) : easeInOutQuad(1 - this.progress);
    let toOffset = this.synapse.to.baseSize - this.size * 1.5;
    let fromOffset = this.synapse.to.baseSize - this.size * 1.5;
    let direction = this.synapse.getDirection();

    x = (this.synapse.to.x + toOffset * Math.cos(direction)) * (1 - progress) + (this.synapse.from.x - fromOffset * Math.cos(direction)) * progress;
    y = (this.synapse.to.y + toOffset * Math.sin(direction)) * (1 - progress) + (this.synapse.from.y - fromOffset * Math.sin(direction)) * progress;

    return {x, y};
  }

  getVelocity(){
    return easeInOutQuadDeriv(this.progress);
  }

  getDirection(){
    if(this.reverseDirection){
      return this.synapse.getDirection();
    }
    else{
      return this.synapse.getDirection() + Math.PI;
    }
  }

  animate(progress){
    this.progress += progress * this.speed;

    if(this.progress > 1){
      let toSynpses = this.getTo().synapses;
      let randomSynapse = toSynpses[Math.floor(Math.random() * toSynpses.length)];

      let oldTo = this.getTo();
      this.progress = 0;
      this.synapse.removeElectron(this);
      randomSynapse.addElectron(this, oldTo);

      oldTo.sizeVelocity += 50;
    }
  }
}

var last = null;
function anim(timestamp){
  if(!last){last = timestamp}
  let progress = (timestamp - last) / 1000;
  if(progress > 0.1){progress = 0.1};
  progress *= 2;
  last = timestamp;

  for(let electron of brain.electrons){
    electron.animate(progress);
  }

  for(let neuron of brain.neurons){
    neuron.animate(progress);
  }

  draw();

  window.requestAnimationFrame(anim);
}

function draw(){
  ctx.clearRect(0, 0, canvas.width, canvas.height);
  for(let synapse of brain.synapses){
    let direction = synapse.getDirection();
    const width = 12;
    const widthMiddle = 2;
    let middle = between(synapse.from, synapse.to, 0.5);
    let point1 = between(synapse.from, synapse.to, 0.25);
    let point2 = between(synapse.from, synapse.to, 0.06 + (synapse.from.size - synapse.from.baseSize) * 0.06);
    let point3 = between(synapse.from, synapse.to, 0.94 - (synapse.to.size - synapse.to.baseSize) * 0.06);
    let point4 = between(synapse.from, synapse.to, 0.75);
    let perp = { // Perpendicular
      x: Math.cos(direction + Math.PI / 2),
      y: Math.sin(direction + Math.PI / 2),
    };

    let gradient;
    if(!synapse.gradient){
      gradient=ctx.createLinearGradient(point2.x, point2.y, point3.x, point3.y);
      gradient.addColorStop(0, synapse.from.color);
      gradient.addColorStop(1, synapse.to.color);
      synapse.gradient = gradient;
    }
    else{
      gradient = synapse.gradient;
    }


    ctx.fillStyle = gradient;
    ctx.lineWidth = 3;
    ctx.beginPath();
    ctx.moveTo(synapse.from.x + perp.x * width, synapse.from.y + perp.y * width);
    ctx.bezierCurveTo(
      point1.x + perp.x * width,
      point1.y + perp.y * width,
      point2.x + perp.x * widthMiddle,
      point2.y + perp.y * widthMiddle,
      middle.x + perp.x * widthMiddle,
      middle.y + perp.y * widthMiddle
    );
    ctx.bezierCurveTo(
      point3.x + perp.x * widthMiddle,
      point3.y + perp.y * widthMiddle,
      point4.x + perp.x * width,
      point4.y + perp.y * width,
      synapse.to.x + perp.x * width,
      synapse.to.y + perp.y * width
    );
    ctx.lineTo(synapse.to.x - perp.x * width, synapse.to.y - perp.y * width);
    ctx.bezierCurveTo(
      point4.x - perp.x * width,
      point4.y - perp.y * width,
      point3.x - perp.x * widthMiddle,
      point3.y - perp.y * widthMiddle,
      middle.x - perp.x * widthMiddle,
      middle.y - perp.y * widthMiddle
    );
    ctx.bezierCurveTo(
      point2.x - perp.x * widthMiddle,
      point2.y - perp.y * widthMiddle,
      point1.x - perp.x * width,
      point1.y - perp.y * width,
      synapse.from.x - perp.x * width,
      synapse.from.y - perp.y * width
    );
    ctx.fill();
  }

  for(let electron of brain.electrons){
    let position = electron.getPosition();
    let direction = electron.getDirection();
    let fontSide = {
      x: position.x + Math.cos(direction) * electron.size,
      y: position.y + Math.sin(direction) * electron.size,
    };
    let upSide = {
      x: position.x + Math.cos(direction + Math.PI / 2) * electron.size,
      y: position.y + Math.sin(direction + Math.PI / 2) * electron.size,
    };
    let downSide = {
      x: position.x + Math.cos(direction - Math.PI / 2) * electron.size,
      y: position.y + Math.sin(direction - Math.PI / 2) * electron.size,
    };
    let backSide = {
      x: position.x + Math.cos(direction + Math.PI) * electron.size * (electron.getVelocity() * 1.5 + 1),
      y: position.y + Math.sin(direction + Math.PI) * electron.size * (electron.getVelocity() * 1.5 + 1),
    };

    // ctx.fillStyle = "#fff";
    // ctx.fillStyle = electron.reverseDirection ?
    //   combineColors(electron.synapse.to.color, electron.synapse.from.color, 1 - electron.progress) :
    //   combineColors(electron.synapse.to.color, electron.synapse.from.color, electron.progress);
    ctx.fillStyle = electron.synapse.gradient;
    ctx.beginPath();
    ctx.moveTo(upSide.x, upSide.y);
    ctx.arcTo(
      upSide.x + Math.cos(direction) * electron.size,
      upSide.y + Math.sin(direction) * electron.size,
      fontSide.x,
      fontSide.y,
      electron.size
    );
    ctx.arcTo(
      downSide.x + Math.cos(direction) * electron.size,
      downSide.y + Math.sin(direction) * electron.size,
      downSide.x,
      downSide.y,
      electron.size
    );
    // ctx.lineTo(downSide.x, downSide.y);
    ctx.bezierCurveTo(
      downSide.x - Math.cos(direction) * electron.size,
      downSide.y - Math.sin(direction) * electron.size,
      backSide.x + Math.cos(direction) * electron.size,
      backSide.y + Math.sin(direction) * electron.size,
      backSide.x, backSide.y
    );
    ctx.bezierCurveTo(
      backSide.x + Math.cos(direction) * electron.size,
      backSide.y + Math.sin(direction) * electron.size,
      upSide.x - Math.cos(direction) * electron.size,
      upSide.y - Math.sin(direction) * electron.size,
      upSide.x, upSide.y
    );
    ctx.fill();
  }

  for(let neuron of brain.neurons){
    ctx.fillStyle = neuron.color;
    ctx.beginPath();
    ctx.arc(neuron.x, neuron.y, neuron.size, 0, 2 * Math.PI);
    ctx.closePath();
    ctx.fill();
  }
}

function distance(neuron1, neuron2){
  return Math.sqrt(Math.pow(neuron1.x - neuron2.x, 2) + Math.pow(neuron1.y - neuron2.y, 2));
}

function between(pos1, pos2, percentage){
  return {
    x: pos1.x * (1 - percentage) + pos2.x * percentage,
    y: pos1.y * (1 - percentage) + pos2.y * percentage,
  };
}

function easeInOutQuad (t) { return t<.5 ? 2*t*t : -1+(4-2*t)*t }
function easeInOutQuadDeriv (t) { return t<.5 ? 4*t : 4*(1-t) }

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