Merge branch 'main' into main
This commit is contained in:
commit
857c82e260
136 changed files with 7132 additions and 944 deletions
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@ -5,7 +5,7 @@ This program is free software: you can redistribute it and/or modify it under th
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*/
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import TimeSpan from './timespan.mjs';
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import Fraction, { lcm } from './fraction.mjs';
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import Fraction, { isFraction, lcm } from './fraction.mjs';
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import Hap from './hap.mjs';
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import State from './state.mjs';
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import { unionWithObj } from './value.mjs';
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@ -21,6 +21,8 @@ import {
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numeralArgs,
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parseNumeral,
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pairs,
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zipWith,
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stringifyValues,
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} from './util.mjs';
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import drawLine from './drawLine.mjs';
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import { logger } from './logger.mjs';
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@ -96,10 +98,7 @@ export class Pattern {
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// runs func on query state
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withState(func) {
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return this.withHaps((haps, state) => {
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func(state);
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return haps;
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});
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return new Pattern((state) => this.query(func(state)));
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}
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/**
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@ -852,14 +851,29 @@ export class Pattern {
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);
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}
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log(func = (_, hap) => `[hap] ${hap.showWhole(true)}`, getData = (_, hap) => ({ hap })) {
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/**
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* Writes the content of the current event to the console (visible in the side menu).
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* @name log
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* @memberof Pattern
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* @example
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* s("bd sd").log()
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*/
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log(func = (hap) => `[hap] ${hap.showWhole(true)}`, getData = (hap) => ({ hap })) {
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return this.onTrigger((...args) => {
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logger(func(...args), undefined, getData(...args));
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}, false);
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}
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logValues(func = id) {
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return this.log((_, hap) => func(hap.value));
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/**
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* A simplified version of `log` which writes all "values" (various configurable parameters)
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* within the event to the console (visible in the side menu).
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* @name logValues
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* @memberof Pattern
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* @example
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* s("bd sd").gain("0.25 0.5 1").n("2 1 0").logValues()
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*/
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logValues(func = (value) => `[hap] ${stringifyValues(value, true)}`) {
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return this.log((hap) => func(hap.value));
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}
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//////////////////////////////////////////////////////////////////////
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@ -982,7 +996,7 @@ addToPrototype('weaveWith', function (t, ...funcs) {
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// compose matrix functions
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function _nonArrayObject(x) {
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return !Array.isArray(x) && typeof x === 'object';
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return !Array.isArray(x) && typeof x === 'object' && !isFraction(x);
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}
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function _composeOp(a, b, func) {
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if (_nonArrayObject(a) || _nonArrayObject(b)) {
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@ -1229,7 +1243,8 @@ export const silence = gap(1);
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/* Like silence, but with a 'steps' (relative duration) of 0 */
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export const nothing = gap(0);
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/** A discrete value that repeats once per cycle.
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/**
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* A discrete value that repeats once per cycle.
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*
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* @returns {Pattern}
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* @example
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@ -1282,13 +1297,14 @@ export function sequenceP(pats) {
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return result;
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}
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/** The given items are played at the same time at the same length.
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/**
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* The given items are played at the same time at the same length.
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*
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* @return {Pattern}
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* @synonyms polyrhythm, pr
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* @example
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* stack("g3", "b3", ["e4", "d4"]).note()
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* // "g3,b3,[e4,d4]".note()
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* // "g3,b3,[e4 d4]".note()
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*
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* @example
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* // As a chained function:
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@ -1365,11 +1381,11 @@ export function stackBy(by, ...pats) {
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.setSteps(steps);
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}
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/** Concatenation: combines a list of patterns, switching between them successively, one per cycle:
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*
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* synonyms: `cat`
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/**
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* Concatenation: combines a list of patterns, switching between them successively, one per cycle.
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*
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* @return {Pattern}
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* @synonyms cat
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* @example
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* slowcat("e5", "b4", ["d5", "c5"])
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*
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@ -1569,7 +1585,7 @@ export const func = curry((a, b) => reify(b).func(a));
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/**
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* Registers a new pattern method. The method is added to the Pattern class + the standalone function is returned from register.
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*
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* @param {string} name name of the function
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* @param {string | string[]} name name of the function, or an array of names to be used as synonyms
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* @param {function} func function with 1 or more params, where last is the current pattern
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* @noAutocomplete
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*
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@ -2380,6 +2396,57 @@ export const stut = register('stut', function (times, feedback, time, pat) {
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return pat._echoWith(times, time, (pat, i) => pat.gain(Math.pow(feedback, i)));
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});
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export const applyN = register('applyN', function (n, func, p) {
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let result = p;
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for (let i = 0; i < n; i++) {
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result = func(result);
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}
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return result;
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});
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/**
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* The plyWith function repeats each event the given number of times, applying the given function to each event.\n
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* @name plyWith
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* @synonyms plywith
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* @param {number} factor how many times to repeat
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* @param {function} func function to apply, given the pattern
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* @example
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* "<0 [2 4]>"
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* .plyWith(4, (p) => p.add(2))
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* .scale("C:minor").note()
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*/
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export const plyWith = register(['plyWith', 'plywith'], function (factor, func, pat) {
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const result = pat
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.fmap((x) => cat(...listRange(0, factor - 1).map((i) => applyN(i, func, x)))._fast(factor))
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.squeezeJoin();
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if (__steps) {
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result._steps = Fraction(factor).mulmaybe(pat._steps);
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}
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return result;
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});
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/**
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* The plyForEach function repeats each event the given number of times, applying the given function to each event.
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* This version of ply uses the iteration index as an argument to the function, similar to echoWith.
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* @name plyForEach
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* @synonyms plyforeach
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* @param {number} factor how many times to repeat
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* @param {function} func function to apply, given the pattern and the iteration index
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* @example
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* "<0 [2 4]>"
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* .plyForEach(4, (p,n) => p.add(n*2))
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* .scale("C:minor").note()
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*/
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export const plyForEach = register(['plyForEach', 'plyforeach'], function (factor, func, pat) {
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const result = pat
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.fmap((x) => cat(cat(pure(x), ...listRange(1, factor - 1).map((i) => func(pure(x), i))))._fast(factor))
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.squeezeJoin();
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if (__steps) {
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result._steps = Fraction(factor).mulmaybe(pat._steps);
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}
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return result;
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});
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/**
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* Divides a pattern into a given number of subdivisions, plays the subdivisions in order, but increments the starting subdivision each cycle. The pattern wraps to the first subdivision after the last subdivision is played.
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* @name iter
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@ -2522,7 +2589,7 @@ export const { fastchunk, fastChunk } = register(
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/**
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* Like `chunk`, but the function is applied to a looped subcycle of the source pattern.
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* @name chunkInto
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* @synonym chunkinto
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* @synonyms chunkinto
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* @memberof Pattern
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* @example
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* sound("bd sd ht lt bd - cp lt").chunkInto(4, hurry(2))
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@ -2535,7 +2602,7 @@ export const { chunkinto, chunkInto } = register(['chunkinto', 'chunkInto'], fun
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/**
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* Like `chunkInto`, but moves backwards through the chunks.
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* @name chunkBackInto
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* @synonym chunkbackinto
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* @synonyms chunkbackinto
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* @memberof Pattern
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* @example
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* sound("bd sd ht lt bd - cp lt").chunkInto(4, hurry(2))
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@ -2565,7 +2632,7 @@ export const bypass = register(
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* Loops the pattern inside an `offset` for `cycles`.
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* If you think of the entire span of time in cycles as a ribbon, you can cut a single piece and loop it.
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* @name ribbon
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* @synonym rib
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* @synonyms rib
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* @param {number} offset start point of loop in cycles
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* @param {number} cycles loop length in cycles
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* @example
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@ -3260,10 +3327,10 @@ export const slice = register(
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* @memberof Pattern
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* @returns Pattern
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* @example
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* s("bd!8").onTriggerTime((hap) => {console.info(hap)})
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* s("bd!8").onTriggerTime((hap) => {console.log(hap)})
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*/
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Pattern.prototype.onTriggerTime = function (func) {
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return this.onTrigger((t_deprecate, hap, currentTime, cps = 1, targetTime) => {
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return this.onTrigger((hap, currentTime, _cps, targetTime) => {
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const diff = targetTime - currentTime;
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window.setTimeout(() => {
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func(hap);
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@ -3400,3 +3467,142 @@ export const { beat } = register(
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['beat'],
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__beat((x) => x.innerJoin()),
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);
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export const _morph = (from, to, by) => {
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by = Fraction(by);
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const dur = Fraction(1).div(from.length);
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const positions = (list) => {
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const result = [];
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for (const [pos, value] of list.entries()) {
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if (value) {
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result.push([Fraction(pos).div(list.length), value]);
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}
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}
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return result;
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};
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const arcs = zipWith(
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([posa, valuea], [posb, valueb]) => {
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const b = by.mul(posb - posa).add(posa);
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const e = b.add(dur);
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return new TimeSpan(b, e);
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},
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positions(from),
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positions(to),
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);
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function query(state) {
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const cycle = state.span.begin.sam();
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const cycleArc = state.span.cycleArc();
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const result = [];
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for (const whole of arcs) {
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const part = whole.intersection(cycleArc);
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if (part !== undefined) {
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result.push(
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new Hap(
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whole.withTime((x) => x.add(cycle)),
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part.withTime((x) => x.add(cycle)),
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true,
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),
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);
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}
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}
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return result;
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}
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return new Pattern(query).splitQueries();
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};
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/**
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* Takes two binary rhythms represented as lists of 1s and 0s, and a number
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* between 0 and 1 that morphs between them. The two lists should contain the same
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* number of true values.
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* @example
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* sound("hh").struct(morph([1,0,1,0,1,0,1,0], // straight rhythm
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* [1,1,0,1,0,1,0], // wonky rhythm
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* 0.25 // creates a slightly wonky rhythm
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* )
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* )
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* @example
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* sound("hh").struct(morph("1:0:1:0:1:0:1:0", // straight rhythm
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* "1:1:0:1:0:1:0", // wonky rhythm
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* sine.slow(8) // slowly morph between the rhythms
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* )
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* )
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*/
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export const morph = (frompat, topat, bypat) => {
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frompat = reify(frompat);
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topat = reify(topat);
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bypat = reify(bypat);
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return frompat.innerBind((from) => topat.innerBind((to) => bypat.innerBind((by) => _morph(from, to, by))));
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};
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/**
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* Soft-clipping distortion
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*
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* @name soft
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* @param {number | Pattern} distortion amount of distortion to apply
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* @param {number | Pattern} volume linear postgain of the distortion
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*
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*/
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/**
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* Hard-clipping distortion
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*
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* @name hard
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* @param {number | Pattern} distortion amount of distortion to apply
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* @param {number | Pattern} volume linear postgain of the distortion
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*
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*/
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/**
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* Cubic polynomial distortion
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*
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* @name cubic
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* @param {number | Pattern} distortion amount of distortion to apply
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* @param {number | Pattern} volume linear postgain of the distortion
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*
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*/
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/**
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* Diode-emulating distortion
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*
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* @name diode
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* @param {number | Pattern} distortion amount of distortion to apply
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* @param {number | Pattern} volume linear postgain of the distortion
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*
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*/
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/**
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* Asymmetrical diode distortion
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*
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* @name asym
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* @param {number | Pattern} distortion amount of distortion to apply
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* @param {number | Pattern} volume linear postgain of the distortion
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*
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*/
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/**
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* Wavefolding distortion
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*
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* @name fold
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* @param {number | Pattern} distortion amount of distortion to apply
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* @param {number | Pattern} volume linear postgain of the distortion
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*
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*/
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/**
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* Wavefolding distortion composed with sinusoid
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*
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* @name sinefold
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* @param {number | Pattern} distortion amount of distortion to apply
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* @param {number | Pattern} volume linear postgain of the distortion
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*
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*/
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/**
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* Distortion via Chebyshev polynomials
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*
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* @name chebyshev
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* @param {number | Pattern} distortion amount of distortion to apply
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* @param {number | Pattern} volume linear postgain of the distortion
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*
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*/
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const distAlgoNames = ['scurve', 'soft', 'hard', 'cubic', 'diode', 'asym', 'fold', 'sinefold', 'chebyshev'];
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for (const name of distAlgoNames) {
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// Add aliases for distortion algorithms
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Pattern.prototype[name] = function (args) {
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const argsPat = reify(args).fmap((v) => (Array.isArray(v) ? [...v, name] : [v, 1, name]));
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return this.distort(argsPat);
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};
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}
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