Refactor, fix julia bug, implement binary/linear/logarithmic membership

flam3.js
Bradlee Speice 2023-07-02 23:34:34 +00:00
parent e8ec0e0521
commit 671b97b7a0
8 changed files with 249 additions and 59 deletions

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@ -31,6 +31,40 @@ export const Canvas: React.FC<{ f: renderFn }> = ({ f }) => {
return <canvas ref={canvasRef} width={400} height={400} />;
};
export function randomBiUnit() {
// Math.random() produces a number in the range [0, 1),
// scale to (-1, 1)
return Math.random() * 2 - 1;
}
export function randomInteger(min: number, max: number) {
return Math.floor(Math.random() * (max - min)) + min;
}
export function weightedChoice<T>(choices: [number, T][]) {
const weightSum = choices.reduce(
(current, [weight, _t]) => current + weight,
0
);
var choice = Math.random() * weightSum;
for (var i = 0; i < choices.length; i++) {
const [weight, t] = choices[i];
if (choice < weight) {
return t;
}
choice -= weight;
}
throw "unreachable";
}
export function imageIndex(x: number, y: number, width: number) {
// Taken from: https://developer.mozilla.org/en-US/docs/Web/API/Canvas_API/Tutorial/Pixel_manipulation_with_canvas
return y * (width * 4) + x * 4;
}
export function histIndex(x: number, y: number, width: number) {
return y * width + x;
}

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@ -1,6 +1,4 @@
import { randomInteger, renderFn } from "./0-utility";
const ITER = 100_000;
import { randomBiUnit, randomInteger, renderFn, imageIndex } from "./0-utility";
function plot(x: number, y: number, image: ImageData) {
// A trivial `plot` implementation would take the range [-1, 1],
@ -19,10 +17,8 @@ function plot(x: number, y: number, image: ImageData) {
var pixelX = Math.floor((-x + 1) * image.width);
var pixelY = Math.floor((-y + 1) * image.height);
// Now translate the (x, y) pixel coordinates to a buffer index
// and paint it black:
const index = pixelY * (image.width * 4) + pixelX * 4;
// Set the pixel black:
const index = imageIndex(pixelX, pixelY, image.width);
image.data[index + 0] = 0;
image.data[index + 1] = 0;
image.data[index + 2] = 0;
@ -44,13 +40,13 @@ export const gasket: renderFn = (image) => {
},
];
let x = Math.random() * 2 - 1;
let y = Math.random() * 2 - 1;
let x = randomBiUnit();
let y = randomBiUnit();
// Heuristic for iteration count
const iter = image.height * image.width;
// Plot with quality 1
const iterations = image.height * image.width;
for (var i = 0; i < iter; i++) {
for (var i = 0; i < iterations; i++) {
const Fi = randomInteger(0, F.length);
[x, y] = F[Fi](x, y);

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@ -1,3 +1,5 @@
import { randomBiUnit, weightedChoice } from "./0-utility";
export type Variation = (
x: number,
y: number,
@ -17,7 +19,7 @@ function r(x: number, y: number) {
}
function theta(x: number, y: number) {
return Math.atan2(y, x);
return Math.atan2(x, y);
}
function omega(): number {
@ -28,10 +30,8 @@ export const linear: Variation = (x, y) => [x, y];
export const julia: Variation = (x, y) => {
const sqrtR = Math.sqrt(r(x, y));
return [
sqrtR * Math.cos(theta(x, y) / 2 + omega()),
sqrtR * Math.sin(theta(x, y) / 2 + omega()),
];
const thetaVal = theta(x, y) / 2 + omega();
return [sqrtR * Math.cos(thetaVal), sqrtR * Math.sin(thetaVal)];
};
export const popcorn: Variation = (x, y, transformCoefs) => {
@ -74,28 +74,9 @@ export class Transform {
}
}
export function weightedChoice<T>(choices: [number, T][]) {
const weightSum = choices.reduce(
(current, [weight, _t]) => current + weight,
0
);
var choice = Math.random() * weightSum;
for (var i = 0; i < choices.length; i++) {
const [weight, t] = choices[i];
if (choice < weight) {
return t;
}
choice -= weight;
}
throw "unreachable";
}
export class Flame {
x: number = Math.random() * 2 - 1;
y: number = Math.random() * 2 - 1;
protected x: number = randomBiUnit();
protected y: number = randomBiUnit();
constructor(public readonly transforms: [number, Transform][]) {}
@ -103,17 +84,35 @@ export class Flame {
const transform = weightedChoice(this.transforms);
[this.x, this.y] = transform.apply(this.x, this.y);
}
current() {
return [this.x, this.y];
}
}
export function camera(x: number, y: number, size: number): [number, number] {
// Assuming both:
// - The origin is the intended center of the output image
// - The output image is square
// ...then map points in the range (-scale, scale) to pixel coordinates.
//
// The way `flam3` actually calculates the "camera" for taking a point
// and determining which pixel to update is fairly involved. The example
// fractal was designed in Apophysis (which shows points in the range
// [-2, 2] by default) so we use that assumption to simplify the math here.
return [Math.floor(((x + 2) * size) / 4), Math.floor(((y + 2) * size) / 4)];
}
export function plot(x: number, y: number, image: ImageData) {
const pixelX = Math.floor(((x + 2) * image.width) / 4);
const pixelY = Math.floor(((y + 2) * image.height) / 4);
// "Zoom out" the camera by a factor of 2 to match the default Apophysis scaling
// (plot all points in the range [-2, 2])
const [pixelX, pixelY] = camera(x, y, image.width);
if (
pixelX < 0 ||
pixelX > image.width ||
pixelX >= image.width ||
pixelY < 0 ||
pixelY > image.height
pixelY >= image.height
) {
return;
}
@ -132,7 +131,8 @@ export function render(flame: Flame, quality: number, image: ImageData) {
for (var i = 0; i < iterations; i++) {
flame.step();
if (i > 20) {
plot(flame.x, flame.y, image);
const [flameX, flameY] = flame.current();
plot(flameX, flameY, image);
}
}
}
@ -167,7 +167,6 @@ export const transform2 = new Transform(
);
export const transform3Weight = 0.42233;
export const transform3Pdj = [1.09358, 2.13048, 2.54127, 2.37267] as const;
export const transform3 = new Transform(
{
a: 1.51523,
@ -177,7 +176,7 @@ export const transform3 = new Transform(
e: -1.455964,
f: -0.362059,
},
[[1, pdj(...transform3Pdj)]]
[[1, pdj(1.09358, 2.13048, 2.54127, 2.37267)]]
);
export function renderBaseline(image: ImageData) {

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@ -1,5 +1,4 @@
import {
Coefs,
Flame,
Transform,
julia,
@ -13,6 +12,8 @@ import {
import { transform2Post } from "./2b-post";
export class FlameFinal extends Flame {
didLog: boolean = false;
constructor(
transforms: [number, Transform][],
public readonly final: Transform
@ -20,10 +21,20 @@ export class FlameFinal extends Flame {
super(transforms);
}
step() {
override step(): void {
super.step();
[this.x, this.y] = this.final.apply(this.x, this.y);
}
override current() {
if (!this.didLog) {
this.didLog = true;
console.trace(`Getting final xform to plot`);
}
// NOTE: The final transform does not modify the iterator point
// return this.final.apply(this.x, this.y);
return [this.x, this.y];
}
}
export const transformFinal = new Transform(
@ -38,15 +49,15 @@ export const transformFinal = new Transform(
[[1, julia]]
);
export function renderFinal(image: ImageData) {
const flame = new FlameFinal(
[
[transform1Weight, transform1],
[transform2Weight, transform2Post],
[transform3Weight, transform3],
],
transformFinal
);
export const flameFinal = new FlameFinal(
[
[transform1Weight, transform1],
[transform2Weight, transform2Post],
[transform3Weight, transform3],
],
transformFinal
);
render(flame, 1, image);
export function renderFinal(image: ImageData) {
render(flameFinal, 1, image);
}

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@ -0,0 +1,78 @@
import { histIndex, imageIndex } from "./0-utility";
import { camera } from "./2a-variations";
import { flameFinal, FlameFinal } from "./2c-final";
export abstract class Accumulator {
histogram: number[] = [];
constructor(
protected readonly width: number,
protected readonly height: number
) {
for (var i = 0; i < width * height; i++) {
this.histogram.push(0);
}
}
accumulate(x: number, y: number) {
const [pixelX, pixelY] = camera(x, y, this.width);
if (
pixelX < 0 ||
pixelX >= this.width ||
pixelY < 0 ||
pixelY >= this.height
) {
return;
}
const index = histIndex(pixelX, pixelY, this.width);
this.histogram[index] += 1;
}
abstract render(image: ImageData): void;
}
class AccumulateBinary extends Accumulator {
render(image: ImageData) {
for (var x = 0; x < image.width; x++) {
for (var y = 0; y < image.height; y++) {
const index = histIndex(x, y, image.width);
// Color black if this pixel is part of the solution set, white otherwise
const value = this.histogram[index] > 0 ? 0 : 0xff;
const iIdx = imageIndex(x, y, image.width);
image.data[iIdx + 0] = value;
image.data[iIdx + 1] = value;
image.data[iIdx + 2] = value;
image.data[iIdx + 3] = 0xff;
}
}
}
}
export function render(
flame: FlameFinal,
quality: number,
accumulator: Accumulator,
image: ImageData
) {
const iterations = quality * image.width * image.height;
for (var i = 0; i < iterations; i++) {
flame.step();
if (i > 20) {
const [flameX, flameY] = flame.current();
accumulator.accumulate(flameX, flameY);
}
}
accumulator.render(image);
}
export function renderBinary(image: ImageData) {
const accumulator = new AccumulateBinary(image.width, image.height);
render(flameFinal, 10, accumulator, image);
}

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@ -0,0 +1,30 @@
import { histIndex, imageIndex } from "./0-utility";
import { flameFinal } from "./2c-final";
import { Accumulator, render } from "./3a-binary";
export class AccumulateLinear extends Accumulator {
render(image: ImageData): void {
const maxValue = Math.max(...this.histogram);
for (var x = 0; x < image.width; x++) {
for (var y = 0; y < image.height; y++) {
const index = histIndex(x, y, image.width);
// Color full black if this pixel is maxValue, white if not part
// of the solution set
const value = (1 - this.histogram[index] / maxValue) * 0xff;
const iIdx = imageIndex(x, y, image.width);
image.data[iIdx + 0] = value;
image.data[iIdx + 1] = value;
image.data[iIdx + 2] = value;
image.data[iIdx + 3] = 0xff;
}
}
}
}
export function renderLinear(image: ImageData) {
const accumulator = new AccumulateLinear(image.width, image.height);
render(flameFinal, 10, accumulator, image);
}

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@ -0,0 +1,36 @@
import { histIndex, imageIndex } from "./0-utility";
import { flameFinal } from "./2c-final";
import { Accumulator, render } from "./3a-binary";
export class AccumulateLogarithmic extends Accumulator {
render(image: ImageData): void {
// Re-scale vibrancy to be log scale...
for (var i = 0; i < this.histogram.length; i++) {
this.histogram[i] = Math.log(this.histogram[i]);
}
// ...but otherwise render the same way as linear
const maxValue = Math.max(...this.histogram);
for (var x = 0; x < image.width; x++) {
for (var y = 0; y < image.height; y++) {
const index = histIndex(x, y, image.width);
// Color full black if this pixel is maxValue, white if not part
// of the solution set
const value = (1 - this.histogram[index] / maxValue) * 0xff;
const iIdx = imageIndex(x, y, image.width);
image.data[iIdx + 0] = value;
image.data[iIdx + 1] = value;
image.data[iIdx + 2] = value;
image.data[iIdx + 3] = 0xff;
}
}
}
}
export function renderLogarithmic(image: ImageData) {
const accumulator = new AccumulateLogarithmic(image.width, image.height);
render(flameFinal, 10, accumulator, image);
}

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@ -5,6 +5,9 @@ import { gasket } from "./1-gasket";
import { renderBaseline } from "./2a-variations";
import { renderPost } from "./2b-post";
import { renderFinal } from "./2c-final";
import { renderBinary } from "./3a-binary";
import { renderLinear } from "./3b-linear";
import { renderLogarithmic } from "./3c-logarithmic";
export default function () {
const Layout = Blog({
@ -14,14 +17,17 @@ export default function () {
});
return (
<Layout>
<div>
{/* <div>
<Canvas f={gasket} />
<Canvas f={renderBaseline} />
</div>
<div>
<Canvas f={renderPost} />
<Canvas f={renderFinal} />
</div>
</div> */}
<Canvas f={renderBinary} />
<Canvas f={renderLinear} />
<Canvas f={renderLogarithmic} />
</Layout>
);
}