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rampensau

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Color ramp generator using curves within the HSL color model

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"use strict"; var rampensau = (() => { var __defProp = Object.defineProperty; var __getOwnPropDesc = Object.getOwnPropertyDescriptor; var __getOwnPropNames = Object.getOwnPropertyNames; var __hasOwnProp = Object.prototype.hasOwnProperty; var __export = (target, all) => { for (var name in all) __defProp(target, name, { get: all[name], enumerable: true }); }; var __copyProps = (to, from, except, desc) => { if (from && typeof from === "object" || typeof from === "function") { for (let key of __getOwnPropNames(from)) if (!__hasOwnProp.call(to, key) && key !== except) __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable }); } return to; }; var __toCommonJS = (mod) => __copyProps(__defProp({}, "__esModule", { value: true }), mod); // src/index.ts var index_exports = {}; __export(index_exports, { colorUtils: () => colorUtils_exports, generateColorRamp: () => generateColorRamp, generateColorRampParams: () => generateColorRampParams, generateColorRampWithCurve: () => generateColorRampWithCurve, utils: () => utils_exports }); // src/utils.ts var utils_exports = {}; __export(utils_exports, { lerp: () => lerp, makeCurveEasings: () => makeCurveEasings, pointOnCurve: () => pointOnCurve, scaleSpreadArray: () => scaleSpreadArray, shuffleArray: () => shuffleArray }); function shuffleArray(array, rndFn = Math.random) { const copy = [...array]; let currentIndex = copy.length, randomIndex; while (currentIndex != 0) { randomIndex = Math.floor(rndFn() * currentIndex); currentIndex--; [copy[currentIndex], copy[randomIndex]] = [ copy[randomIndex], copy[currentIndex] ]; } return copy; } var lerp = (amt, from, to) => from + amt * (to - from); var scaleSpreadArray = (valuesToFill, targetSize, padding = 0, fillFunction = lerp) => { if (!valuesToFill || valuesToFill.length < 2) { throw new Error("valuesToFill array must have at least two values."); } if (targetSize < 1 && padding > 0) { throw new Error("Target size must be at least 1"); } if (targetSize < valuesToFill.length && padding === 0) { throw new Error( "Target size must be greater than or equal to the valuesToFill array length." ); } const result = new Array(targetSize); if (padding <= 0) { const len = valuesToFill.length; const lastIdx = len - 1; const totalAdded = targetSize - len; const baseAdds = Math.floor(totalAdded / lastIdx); const remainder = totalAdded % lastIdx; let currentResultIdx = 0; for (let i = 0; i < lastIdx; i++) { const startVal = valuesToFill[i]; const endVal = valuesToFill[i + 1]; const segmentLen = 1 + baseAdds + (i < remainder ? 1 : 0); for (let j = 0; j < segmentLen; j++) { const t = j / segmentLen; result[currentResultIdx++] = fillFunction(t, startVal, endVal); } } result[currentResultIdx] = valuesToFill[lastIdx]; return result; } const domainStart = padding; const domainEnd = 1 - padding; const lenMinus1 = valuesToFill.length - 1; const normalizedPositions = new Float64Array(valuesToFill.length); for (let i = 0; i < valuesToFill.length; i++) { normalizedPositions[i] = i / lenMinus1; } let segmentIndex = 0; for (let i = 0; i < targetSize; i++) { const t = targetSize === 1 ? 0.5 : i / (targetSize - 1); const adjustedT = domainStart + t * (domainEnd - domainStart); while (segmentIndex < lenMinus1 && adjustedT > normalizedPositions[segmentIndex + 1]) { segmentIndex++; } const segmentStart = normalizedPositions[segmentIndex]; const segmentEnd = normalizedPositions[segmentIndex + 1]; let segmentT = 0; if (segmentEnd > segmentStart) { segmentT = (adjustedT - segmentStart) / (segmentEnd - segmentStart); } const fromValue = valuesToFill[segmentIndex]; const toValue = valuesToFill[segmentIndex + 1]; result[i] = fillFunction(segmentT, fromValue, toValue); } return result; }; var pointOnCurve = (curveMethod, curveAccent) => { return (t) => { const limit = Math.PI / 2; const slice = limit / 1; const percentile = t; let x = 0, y = 0; if (curveMethod === "lam\xE9") { const t2 = percentile * limit; const exp = 2 / (2 + 20 * curveAccent); const cosT = Math.cos(t2); const sinT = Math.sin(t2); x = Math.sign(cosT) * Math.abs(cosT) ** exp; y = Math.sign(sinT) * Math.abs(sinT) ** exp; } else if (curveMethod === "arc") { y = Math.cos(-Math.PI / 2 + t * slice + curveAccent); x = Math.sin(Math.PI / 2 + t * slice - curveAccent); } else if (curveMethod === "pow") { x = Math.pow(1 - percentile, 1 - curveAccent); y = Math.pow(percentile, 1 - curveAccent); } else if (curveMethod === "powY") { x = Math.pow(1 - percentile, curveAccent); y = Math.pow(percentile, 1 - curveAccent); } else if (curveMethod === "powX") { x = Math.pow(percentile, curveAccent); y = Math.pow(percentile, 1 - curveAccent); } else if (typeof curveMethod === "function") { const [xFunc, yFunc] = curveMethod(t, curveAccent); x = xFunc; y = yFunc; } else { throw new Error( `pointOnCurve() curveMethod parameter is expected to be "lam\xE9" | "arc" | "pow" | "powY" | "powX" or a function but \`${curveMethod}\` given.` ); } return { x, y }; }; }; var makeCurveEasings = (curveMethod, curveAccent) => { const point = pointOnCurve(curveMethod, curveAccent); return { sEasing: (t) => point(t).x, lEasing: (t) => point(t).y }; }; // src/colorUtils.ts var colorUtils_exports = {}; __export(colorUtils_exports, { colorHarmonies: () => colorHarmonies, colorToCSS: () => colorToCSS, harveyHue: () => harveyHue, hsv2hsl: () => hsv2hsl, normalizeHue: () => normalizeHue, uniqueRandomHues: () => uniqueRandomHues }); function normalizeHue(h) { return (h % 360 + 360) % 360; } function harveyHue(h) { h = normalizeHue(h) / 360; if (h === 1 || h === 0) return h; h = 1 + h % 1; const seg = 1 / 6; const a = h % seg / seg * Math.PI / 2; const [b, c] = [seg * Math.cos(a), seg * Math.sin(a)]; const i = Math.floor(h * 6); const cases = [c, 1 / 3 - b, 1 / 3 + c, 2 / 3 - b, 2 / 3 + c, 1 - b]; return cases[i % 6] * 360; } var colorHarmonies = { complementary: (h) => [normalizeHue(h), normalizeHue(h + 180)], splitComplementary: (h) => [ normalizeHue(h), normalizeHue(h + 150), normalizeHue(h - 150) ], triadic: (h) => [ normalizeHue(h), normalizeHue(h + 120), normalizeHue(h + 240) ], tetradic: (h) => [ normalizeHue(h), normalizeHue(h + 90), normalizeHue(h + 180), normalizeHue(h + 270) ], pentadic: (h) => [ normalizeHue(h), normalizeHue(h + 72), normalizeHue(h + 144), normalizeHue(h + 216), normalizeHue(h + 288) ], hexadic: (h) => [ normalizeHue(h), normalizeHue(h + 60), normalizeHue(h + 120), normalizeHue(h + 180), normalizeHue(h + 240), normalizeHue(h + 300) ], monochromatic: (h) => [normalizeHue(h), normalizeHue(h)], // min 2 for RampenSau doubleComplementary: (h) => [ normalizeHue(h), normalizeHue(h + 180), normalizeHue(h + 30), normalizeHue(h + 210) ], compound: (h) => [ normalizeHue(h), normalizeHue(h + 180), normalizeHue(h + 60), normalizeHue(h + 240) ], analogous: (h) => [ normalizeHue(h), normalizeHue(h + 30), normalizeHue(h + 60), normalizeHue(h + 90), normalizeHue(h + 120), normalizeHue(h + 150) ] }; function uniqueRandomHues({ startHue = 0, total = 9, minHueDiffAngle = 60, rndFn = Math.random } = {}) { minHueDiffAngle = Math.min(minHueDiffAngle, 360 / total); const baseHue = startHue ?? rndFn() * 360; const huesToPickFrom = Array.from( { length: Math.round(360 / minHueDiffAngle) }, (_, i) => (baseHue + i * minHueDiffAngle) % 360 ); let randomizedHues = shuffleArray(huesToPickFrom, rndFn); if (randomizedHues.length > total) { randomizedHues = randomizedHues.slice(0, total); } return randomizedHues; } var hsv2hsl = ([h, s, v]) => { const l = v - v * s / 2; const m = Math.min(l, 1 - l); const s_hsl = m === 0 ? 0 : (v - l) / m; return [h, s_hsl, l]; }; var colorModsCSS = { oklch: (color) => [ color[2] * 100 + "%", color[1] * 100 + "%", color[0] ], lch: (color) => [ color[2] * 100 + "%", color[1] * 100 + "%", color[0] ], hsl: (color) => [ color[0], color[1] * 100 + "%", color[2] * 100 + "%" ], hsv: (color) => { const [h, s, l] = hsv2hsl(color); return [h, s * 100 + "%", l * 100 + "%"]; } }; var colorToCSS = (color, mode = "oklch") => { const cssMode = mode === "hsv" ? "hsl" : mode; return `${cssMode}(${colorModsCSS[mode](color).join(" ")})`; }; // src/core.ts function generateColorRamp({ total = 9, hStart = Math.random() * 360, hStartCenter = 0.5, hEasing = (x) => x, hCycles = 1, sRange = [0.4, 0.35], sEasing = (x) => Math.pow(x, 2), lRange = [Math.random() * 0.1, 0.9], lEasing = (x) => Math.pow(x, 1.5), transformFn = ([h, s, l]) => [h, s, l], hueList } = {}) { const lDiff = lRange[1] - lRange[0]; const sDiff = sRange[1] - sRange[0]; const length = hueList && hueList.length > 0 ? hueList.length : total; return Array.from({ length }, (_, i) => { const relI = length > 1 ? i / (length - 1) : 0; const fraction = 1 / length; const hue = hueList ? hueList[i] : normalizeHue( hStart + // Add the starting hue (1 - hEasing(relI, fraction) - hStartCenter) * (360 * hCycles) // Calculate the hue based on the easing function ); const saturation = sRange[0] + sDiff * sEasing(relI, fraction); const lightness = lRange[0] + lDiff * lEasing(relI, fraction); return transformFn([hue, saturation, lightness], i); }); } var generateColorRampWithCurve = ({ total = 9, hStart = Math.random() * 360, hStartCenter = 0.5, hCycles = 1, sRange = [0.4, 0.35], lRange = [Math.random() * 0.1, 0.9], hueList, curveMethod = "lam\xE9", curveAccent = 0.5, transformFn = ([h, s, l]) => [h, s, l] } = {}) => { const { sEasing, lEasing } = makeCurveEasings(curveMethod, curveAccent); return generateColorRamp({ total, hStart, hStartCenter, hCycles, sRange, lRange, sEasing, lEasing, transformFn, hueList }); }; // src/index.ts var generateColorRampParams = { total: { default: 5, props: { min: 4, max: 50, step: 1 } }, hStart: { default: 0, props: { min: 0, max: 360, step: 0.1 } }, hCycles: { default: 1, props: { min: -2, max: 2, step: 1e-3 } }, hStartCenter: { default: 0.5, props: { min: 0, max: 1, step: 1e-3 } }, minLight: { default: Math.random() * 0.2, props: { min: 0, max: 1, step: 1e-3 } }, maxLight: { default: 0.89 + Math.random() * 0.11, props: { min: 0, max: 1, step: 1e-3 } }, minSaturation: { default: Math.random() < 0.5 ? 0.4 : 0.8 + Math.random() * 0.2, props: { min: 0, max: 1, step: 1e-3 } }, maxSaturation: { default: Math.random() < 0.5 ? 0.35 : 0.9 + Math.random() * 0.1, props: { min: 0, max: 1, step: 1e-3 } }, curveMethod: { default: "lam\xE9", props: { options: ["lam\xE9", "sine", "power", "linear"] } }, curveAccent: { default: 0.5, props: { min: 0, max: 5, step: 0.01 } } }; return __toCommonJS(index_exports); })();