Merge branch 'main' of ssh://codeberg.org/vvolhejn/strudel into radical-new-docs

This commit is contained in:
Václav Volhejn 2026-01-17 18:22:56 +01:00
commit a1d31df556
48 changed files with 2776 additions and 592 deletions

View file

@ -26,6 +26,7 @@ import {
} from './util.mjs';
import drawLine from './drawLine.mjs';
import { errorLogger, logger } from './logger.mjs';
import { strudelScope } from './evaluate.mjs';
let stringParser;
@ -1742,7 +1743,9 @@ export function register(name, func, patternify = true, preserveSteps = false, j
// toplevel functions get curried as well as patternified
// because pfunc uses spread args, we need to state the arity explicitly!
return curry(pfunc, null, arity);
const curried = curry(pfunc, null, arity);
strudelScope[name] = curried;
return curried;
}
// Like register, but defaults to stepJoin
@ -3730,6 +3733,20 @@ export const morph = (frompat, topat, bypat) => {
return frompat.innerBind((from) => topat.innerBind((to) => bypat.innerBind((by) => _morph(from, to, by))));
};
const _distortWithAlg = function (name) {
const func = function (args, pat) {
const argsPat = reify(args).fmap((v) => (Array.isArray(v) ? [...v, name] : [v, 1, name]));
if (!pat) {
return pure({}).distort(argsPat);
}
return pat.distort(argsPat);
};
Pattern.prototype[name] = function (args) {
return func(args, this);
};
return func;
};
/**
* Soft-clipping distortion
*
@ -3739,6 +3756,8 @@ export const morph = (frompat, topat, bypat) => {
* @param {number | Pattern} volume linear postgain of the distortion
*
*/
export const soft = _distortWithAlg('soft');
/**
* Hard-clipping distortion
*
@ -3748,6 +3767,8 @@ export const morph = (frompat, topat, bypat) => {
* @param {number | Pattern} volume linear postgain of the distortion
*
*/
export const hard = _distortWithAlg('hard');
/**
* Cubic polynomial distortion
*
@ -3757,6 +3778,8 @@ export const morph = (frompat, topat, bypat) => {
* @param {number | Pattern} volume linear postgain of the distortion
*
*/
export const cubic = _distortWithAlg('cubic');
/**
* Diode-emulating distortion
*
@ -3766,6 +3789,8 @@ export const morph = (frompat, topat, bypat) => {
* @param {number | Pattern} volume linear postgain of the distortion
*
*/
export const diode = _distortWithAlg('diode');
/**
* Asymmetrical diode distortion
*
@ -3775,6 +3800,8 @@ export const morph = (frompat, topat, bypat) => {
* @param {number | Pattern} volume linear postgain of the distortion
*
*/
export const asym = _distortWithAlg('asym');
/**
* Wavefolding distortion
*
@ -3784,6 +3811,8 @@ export const morph = (frompat, topat, bypat) => {
* @param {number | Pattern} volume linear postgain of the distortion
*
*/
export const fold = _distortWithAlg('fold');
/**
* Wavefolding distortion composed with sinusoid
*
@ -3793,6 +3822,8 @@ export const morph = (frompat, topat, bypat) => {
* @param {number | Pattern} volume linear postgain of the distortion
*
*/
export const sinefold = _distortWithAlg('sinefold');
/**
* Distortion via Chebyshev polynomials
*
@ -3802,14 +3833,7 @@ export const morph = (frompat, topat, bypat) => {
* @param {number | Pattern} volume linear postgain of the distortion
*
*/
const distAlgoNames = ['scurve', 'soft', 'hard', 'cubic', 'diode', 'asym', 'fold', 'sinefold', 'chebyshev'];
for (const name of distAlgoNames) {
// Add aliases for distortion algorithms
Pattern.prototype[name] = function (args) {
const argsPat = reify(args).fmap((v) => (Array.isArray(v) ? [...v, name] : [v, 1, name]));
return this.distort(argsPat);
};
}
export const chebyshev = _distortWithAlg('chebyshev');
/**
* Turns a list of patterns into a single pattern which outputs list-values
@ -3905,3 +3929,83 @@ Pattern.prototype.FX = function (...effects) {
return { ...v, FX: currFX.concat(vEff) };
}).appLeft(parray(effects));
};
const _asArrayPattern = (pats) => {
const pack = (...xs) => xs;
let acc = pure(curry(pack, null, pats.length));
for (const p of pats) acc = acc.appLeft(p);
return acc;
};
/**
* Produces a [Kabelsalat](https://kabel.salat.dev/) modular sound engine.
* This can be used as either an effect (by including `audioin()` at the beginning
* of your kabel expression) or as a sound source (via any expression which doesn't
* start with `audioin()`).
*
* Some helpers you have available to you:
* * Strudel mini notation works fine in K(..) via "" or ``
* * More complex Strudel expressions (like "0 1 2".fast(4) or irand(24)) can be
* written by wrapping them in `S(..)` inside your Kabel code
* * We expose Strudel's note frequency under `sFreq` and Strudel's gate
* information under `sGate`
* * You can use more complex multi-line expressions (like `let x = a; let y = b; x.lpf(y);`)
* by wrapping them inside a function in K (see example).
*
* @name K
* @param {KabelsalatExpression | Function} expr Kabelsalat graph definition
* @memberof Pattern
* @returns Pattern
*
* @example
* note("A c e".fast(4)).transpose("<0 2 4 6 8>")
* .scale("F:minor").transpose("12")
* .s("saw")
* .K(
* // audioin().mul(sGate.adsr(0.001, 0.3, 0, 0.2)) // as effect
* saw(saw(sFreq / "2!3 16").mul(8).add(sFreq).lag("0!3 0.1")).mul(0.3) // as source
* .mul(sGate.adsr(0, 0.15, 0.5, "0.1!3 1"))
* .lpf(sGate.adsr(0, 0.2, 0.3, 0.2).mul(1).add(0))
* .add(x => x.delay(S("0.3 0.2".fast(2))).mul(0.7))
* .add(x => x.delay("0.03 [0.08 0.01] 0.01 0.013").mul(0.77)).mul(0.7)
* .add(x => x.delay(.13).mul(0.7))
* .out()
* )
*
* @example
* n("<0 1 <2 3 2 4>>*16")
* .scale("G#2:minor").sometimes(x => x.transpose("12 | 24"))
* .K(() => {
* const att = S(rand.range(0, 0.05))
* const dec = S(rand.range(0.05, 0.2))
* let f = n(sFreq);
* const mod = sine(f).mul("0.1 | 0.2 | 0.3")
* .add("[[1.5 1] | 1 | 2 | 4 | [6 4@3]]*2")
* saw(f.mul(mod))
* .mul(sGate.ad(att, dec))
* .add(x => x.delay(0.4).mul(0.3))
* .out()
* }).fxr(1).room(0.3)
*/
/**
* Creates a worklet effect. Typically derived by writing K(...) in the REPL which will parse
* Kabelsalat code.
*
* @name worklet
* @param {string} src Source code of the worklet update function
* @param {...number | ...Pattern} inputs Worklet inputs
* @memberof Pattern
* @returns Pattern
* @noAutocomplete
*/
Pattern.prototype.worklet = function (src, ...inputs) {
inputs = inputs.map(reify);
return this.outerBind((v) => {
return _asArrayPattern(inputs).withValue((vInput) => {
const currInputs = v.workletInputs ?? [];
return { ...v, workletSrc: src, workletInputs: currInputs.concat(vInput) };
});
});
};
export const worklet = (...args) => pure({}).worklet(...args);