Prim’s Algorithm V

Another variation of color-cycling a spanning tree generated by Prim’s algorithm. Here the periodicity of the color scale by tree depth is varied over time, alternating between emphasis of micro and macro structure. This idea was suggested in a Hacker News comment.

forked from mbostock's block: Prim’s Algorithm V

<!DOCTYPE html>
<meta charset="utf-8">
<style>

#wait {
  padding: 10px;
  position: absolute;
}

canvas {
  position: relative;
}

</style>
<div id="wait">Generating maze; please wait…</div>
<canvas width="960" height="500"></canvas>
<script src="//d3js.org/d3.v3.min.js"></script>
<script src="cubehelix.min.js"></script>
<script>

var canvas = d3.select("canvas"),
    context = canvas.node().getContext("2d"),
    width = canvas.property("width"),
    height = canvas.property("height");

var colors = d3.range(360)
    .map((function() {
      var color = d3.scale.cubehelix()
        .domain([0, 180, 360])
        .range([
          d3.hsl(-100, 0.75, 0.35),
          d3.hsl(  80, 1.50, 0.80),
          d3.hsl( 260, 0.75, 0.35)
        ]);
      return function(i) {
        return d3.rgb(color(i));
      };
    })());

var worker = new Worker("generate-prims.js");
worker.postMessage({width: width, height: height});
worker.addEventListener("message", function(event) {
  worker.terminate();

var N = 1 << 0,
      S = 1 << 1,
      W = 1 << 2,
      E = 1 << 3;

var d = 0,
      r = -1,
      n = width * height,
      cells = event.data,
      distance = new Array(n),
      frontier = [(height - 1) * width],
      image = context.createImageData(width, height),
      imageData = image.data;

distance[frontier[0]] = 0;

for (var i = 0, c, i4 = 3; i < n; ++i, i4 += 4) {
    imageData[i4] = 255;
  }

while (frontier.length) {
    var frontier1 = [],
        i0,
        n0 = frontier.length,
        i1;

++d;
    for (var i = 0; i < n0; ++i) {
      i0 = frontier[i];
      if (cells[i0] & E && distance[i1 = i0 + 1] == null) distance[i1] = d, frontier1.push(i1);
      if (cells[i0] & W && distance[i1 = i0 - 1] == null) distance[i1] = d, frontier1.push(i1);
      if (cells[i0] & S && distance[i1 = i0 + width] == null) distance[i1] = d, frontier1.push(i1);
      if (cells[i0] & N && distance[i1 = i0 - width] == null) distance[i1] = d, frontier1.push(i1);
    }

frontier = frontier1;
  }

d3.timer(function(elapsed) {
    for (var i = 0, c, i4 = 0, s = 1.1 - Math.cos(elapsed / 20000); i < n; ++i, i4 += 4) {
      c = colors[(c = Math.floor(distance[i] * s) % 360) < 0 ? c + 360 : c];
      imageData[i4] = c.r;
      imageData[i4 + 1] = c.g;
      imageData[i4 + 2] = c.b;
    }
    context.putImageData(image, 0, 0);
  });
});

</script>

https://d3js.org/d3.v3.min.js