Merge branch 'main' of ssh://codeberg.org/vvolhejn/strudel into radical-new-docs
This commit is contained in:
commit
a1d31df556
48 changed files with 2776 additions and 592 deletions
|
|
@ -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);
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue