elias/strudel
1
0
Fork 0
mirror of https://github.com/eliasstepanik/strudel.git synced 2026-01-11 13:48:40 +00:00
Code Issues Packages Projects Releases Wiki Activity

fix: missing events due to premature worklet cleanup

Browse Source
This commit is contained in:
Felix Roos 2024-05-06 21:29:15 +02:00
parent 8e2d883e86
commit 956ceb8aa4
1 changed files with 29 additions and 17 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

46
packages/superdough/worklets.mjs
View File

@ -1,6 +1,7 @@
// coarse, crush, and shape processors adapted from dktr0's webdirt: https://github.com/dktr0/WebDirt/blob/5ce3d698362c54d6e1b68acc47eb2955ac62c793/dist/AudioWorklets.js
// LICENSE GNU General Public License v3.0 see https://github.com/dktr0/WebDirt/blob/main/LICENSE
const blockSize = 128;
class CoarseProcessor extends AudioWorkletProcessor {
static get parameterDescriptors() {
return [{ name: 'coarse', defaultValue: 1 }];
@ -8,19 +9,21 @@ class CoarseProcessor extends AudioWorkletProcessor {
constructor() {
super();
this.started = false;
}
process(inputs, outputs, parameters) {
const input = inputs[0];
const output = outputs[0];
const blockSize = 128;
const hasInput = !(input[0] === undefined);
if (this.started && !hasInput) {
return false;
}
this.started = hasInput;
let coarse = parameters.coarse[0] ?? 0;
coarse = Math.max(1, coarse);
if (input[0] == null || output[0] == null) {
return false;
}
for (let n = 0; n < blockSize; n++) {
for (let i = 0; i < input.length; i++) {
output[i][n] = n % coarse === 0 ? input[i][n] : output[i][n - 1];
@ -38,19 +41,22 @@ class CrushProcessor extends AudioWorkletProcessor {
constructor() {
super();
this.started = false;
}
process(inputs, outputs, parameters) {
const input = inputs[0];
const output = outputs[0];
const blockSize = 128;
const hasInput = !(input[0] === undefined);
if (this.started && !hasInput) {
return false;
}
this.started = hasInput;
let crush = parameters.crush[0] ?? 8;
crush = Math.max(1, crush);
if (input[0] == null || output[0] == null) {
return false;
}
for (let n = 0; n < blockSize; n++) {
for (let i = 0; i < input.length; i++) {
const x = Math.pow(2, crush - 1);
@ -72,21 +78,24 @@ class ShapeProcessor extends AudioWorkletProcessor {
constructor() {
super();
this.started = false;
}
process(inputs, outputs, parameters) {
const input = inputs[0];
const output = outputs[0];
const blockSize = 128;
const hasInput = !(input[0] === undefined);
if (this.started && !hasInput) {
return false;
}
this.started = hasInput;
let shape = parameters.shape[0];
shape = shape < 1 ? shape : 1.0 - 4e-10;
shape = (2.0 * shape) / (1.0 - shape);
const postgain = Math.max(0.001, Math.min(1, parameters.postgain[0]));
if (input[0] == null || output[0] == null) {
return false;
}
for (let n = 0; n < blockSize; n++) {
for (let i = 0; i < input.length; i++) {
output[i][n] = (((1 + shape) * input[i][n]) / (1 + shape * Math.abs(input[i][n]))) * postgain;
@ -107,19 +116,22 @@ class DistortProcessor extends AudioWorkletProcessor {
constructor() {
super();
this.started = false;
}
process(inputs, outputs, parameters) {
const input = inputs[0];
const output = outputs[0];
const blockSize = 128;
const hasInput = !(input[0] === undefined);
if (this.started && !hasInput) {
return false;
}
this.started = hasInput;
const shape = Math.expm1(parameters.distort[0]);
const postgain = Math.max(0.001, Math.min(1, parameters.postgain[0]));
if (input[0] == null || output[0] == null) {
return false;
}
for (let n = 0; n < blockSize; n++) {
for (let i = 0; i < input.length; i++) {
output[i][n] = (((1 + shape) * input[i][n]) / (1 + shape * Math.abs(input[i][n]))) * postgain;