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working
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@ -452,7 +452,8 @@ export const superdough = async (value, deadline, hapDuration) => {
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// effects
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coarse !== undefined && chain.push(getWorklet(ac, 'coarse-processor', { coarse }));
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crush !== undefined && chain.push(getWorklet(ac, 'crush-processor', { crush }));
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shape !== undefined && chain.push(getWorklet(ac, 'shape-processor', { shape }));
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const shapeInput = Array.isArray(shape) ? { shape: shape[0], postgain: shape[1] } : { shape };
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shape !== undefined && chain.push(getWorklet(ac, 'shape-processor', shapeInput));
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compressorThreshold !== undefined &&
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chain.push(
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@ -1,7 +1,23 @@
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// LICENSE GNU General Public License v3.0 see https://github.com/dktr0/WebDirt/blob/main/LICENSE
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// all the credit goes to dktr0's webdirt: https://github.com/dktr0/WebDirt/blob/5ce3d698362c54d6e1b68acc47eb2955ac62c793/dist/AudioWorklets.js
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// <3
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const processSample = (inputs, outputs, processBlock) => {
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const input = inputs[0];
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const output = outputs[0];
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const blockSize = 128;
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if (input == null || output == null) {
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return false;
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}
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for (let n = 0; n < blockSize; n++) {
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input.forEach((inChannel, i) => {
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const outChannel = output[i % output.length];
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const block = inChannel[n];
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outChannel[n] = processBlock(block, n, inChannel, outChannel);
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});
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}
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return true;
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};
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// coarse, crush, and shape processors adapted from dktr0's webdirt: https://github.com/dktr0/WebDirt/blob/5ce3d698362c54d6e1b68acc47eb2955ac62c793/dist/AudioWorklets.js
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// LICENSE GNU General Public License v3.0 see https://github.com/dktr0/WebDirt/blob/main/LICENSE
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class CoarseProcessor extends AudioWorkletProcessor {
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static get parameterDescriptors() {
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return [{ name: 'coarse', defaultValue: 1 }];
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@ -9,25 +25,15 @@ class CoarseProcessor extends AudioWorkletProcessor {
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constructor() {
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super();
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this.notStarted = true;
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}
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process(inputs, outputs, parameters) {
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const input = inputs[0];
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const output = outputs[0];
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const coarse = parameters.coarse;
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const blockSize = 128;
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const hasInput = !(input[0] === undefined);
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if (hasInput) {
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this.notStarted = false;
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output[0][0] = input[0][0];
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for (let n = 1; n < blockSize; n++) {
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for (let o = 0; o < output.length; o++) {
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output[o][n] = n % coarse == 0 ? input[0][n] : output[o][n - 1];
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}
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}
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}
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return this.notStarted || hasInput;
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let coarse = parameters.coarse[0] ?? 0;
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coarse = Math.min(128, Math.max(1, Math.round(coarse * 128)));
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return processSample(inputs, outputs, (block, n, inChannel, outChannel) => {
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const value = n % coarse === 0 ? block : outChannel[n - 1];
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return value;
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});
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}
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}
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@ -40,68 +46,42 @@ class CrushProcessor extends AudioWorkletProcessor {
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constructor() {
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super();
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this.notStarted = true;
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}
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process(inputs, outputs, parameters) {
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const input = inputs[0];
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const output = outputs[0];
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const crush = parameters.crush;
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const blockSize = 128;
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const hasInput = !(input[0] === undefined);
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if (hasInput) {
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this.notStarted = false;
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if (crush.length === 1) {
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const x = Math.pow(2, crush[0] - 1);
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for (let n = 0; n < blockSize; n++) {
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const value = Math.round(input[0][n] * x) / x;
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for (let o = 0; o < output.length; o++) {
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output[o][n] = value;
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}
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}
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} else {
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for (let n = 0; n < blockSize; n++) {
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let x = Math.pow(2, crush[n] - 1);
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const value = Math.round(input[0][n] * x) / x;
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for (let o = 0; o < output.length; o++) {
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output[o][n] = value;
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}
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}
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}
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}
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return this.notStarted || hasInput;
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const bitMax = 16;
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const bitMin = 1;
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let crush = parameters.crush[0] ?? 8;
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crush = Math.max(bitMin, bitMax - crush * bitMax);
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return processSample(inputs, outputs, (block) => {
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const x = Math.pow(2, crush - 1);
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return Math.round(block * x) / x;
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});
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}
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}
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registerProcessor('crush-processor', CrushProcessor);
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class ShapeProcessor extends AudioWorkletProcessor {
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static get parameterDescriptors() {
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return [{ name: 'shape', defaultValue: 0 }];
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return [
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{ name: 'shape', defaultValue: 0 },
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{ name: 'postgain', defaultValue: 1 },
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];
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}
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constructor() {
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super();
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this.notStarted = true;
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}
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process(inputs, outputs, parameters) {
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const input = inputs[0];
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const output = outputs[0];
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const shape0 = parameters.shape[0];
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const shape1 = shape0 < 1 ? shape0 : 1.0 - 4e-10;
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const shape = (2.0 * shape1) / (1.0 - shape1);
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const blockSize = 128;
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const hasInput = !(input[0] === undefined);
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if (hasInput) {
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this.notStarted = false;
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for (let n = 0; n < blockSize; n++) {
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const value = ((1 + shape) * input[0][n]) / (1 + shape * Math.abs(input[0][n]));
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for (let o = 0; o < output.length; o++) {
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output[o][n] = value;
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}
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}
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}
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return this.notStarted || hasInput;
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let shape_param = parameters.shape[0];
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const postgain = Math.max(0.001, Math.min(1, parameters.postgain[0]));
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const shape = shape_param * 100;
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return processSample(inputs, outputs, (block, n) => {
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const val = ((1 + shape) * block) / (1 + shape * Math.abs(block));
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return val * postgain;
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});
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}
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}
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