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//const c = [];

​

let amt = 0.0;

let angle = 0;

​

function setup() {

  createCanvas(512, 512);

  for (let i = 0; i < 512; i++) {

    n[i] = new NoiseLoop(20, -1, 1);

  }

  generateRainbow();

​

}

​

​

function generateRainbow() {

  // httpPost(path, [datatype], [data], [callback], [errorCallback])

  const path = "http://localhost:8000/query";

  for (let i = 0; i < 512; i++) {

    //c[i] = lerp(a[i], b[i], amt);

    //    a[i] += random(-0.01, 0.01);

    a[i] = n[i].value(angle); //randomGaussian() / 50.0;

    //c[i] += randomGaussian() / 10;

  }

  amt += 0.05;

  let da = TWO_PI / (24*60);

  angle += da;

​

  const data = {

    z: a,

    truncation: 0.5

  };

  httpPost(path, 'json', data, gotImage, gotError);

}

​

function gotError(error) {

  console.error(error);

}

​

​

function gotImage(result) {

  rainbow = createImg(result.image, imageReady);

  //rainbow.size(128, 128);

  rainbow.hide();

}

​

let count = 0;

​

function imageReady() {

  image(rainbow, 0, 0);

  save(`rainbow${nf(count, 4)}`);

  count++;

  if (angle <= TWO_PI) {

    setTimeout(generateRainbow, 100);

  }

}

​

const osn = new OpenSimplexNoise(Date.now());

​

​

class NoiseLoop {

  constructor(diameter, min, max) {

    this.diameter = diameter;

    this.min = min;

    this.max = max;

    this.cx = random(1000);

    this.cy = random(1000);

  }

​

  value(a) {

    let xoff = map(cos(a), -1, 1, this.cx, this.cx + this.diameter);

    let yoff = map(sin(a), -1, 1, this.cy, this.cy + this.diameter);

    let r = osn.noise2D(xoff, yoff);

    return map(r, -1, 1, this.min, this.max);

  }

}