@cloudcome/utils-core/dist/easing.mjs.map

cloudcome core utils

{"version":3,"file":"easing.mjs","sources":["../src/easing.ts"],"sourcesContent":["/**\n * https://github.com/gre/bezier-easing\n * BezierEasing - use bezier curve for transition easing function\n * by Gaëtan Renaudeau 2014 - 2015 – MIT License\n */\n\n// These values are established by empiricism with tests (tradeoff: performance VS precision)\nconst NEWTON_ITERATIONS = 4;\nconst NEWTON_MIN_SLOPE = 0.001;\nconst SUBDIVISION_PRECISION = 0.0000001;\nconst SUBDIVISION_MAX_ITERATIONS = 10;\n\nconst kSplineTableSize = 11;\nconst kSampleStepSize = 1.0 / (kSplineTableSize - 1.0);\n\nconst float32ArraySupported = typeof Float32Array === 'function';\n\nfunction A(aA1: number, aA2: number) {\n  return 1.0 - 3.0 * aA2 + 3.0 * aA1;\n}\nfunction B(aA1: number, aA2: number) {\n  return 3.0 * aA2 - 6.0 * aA1;\n}\nfunction C(aA1: number) {\n  return 3.0 * aA1;\n}\n\n// Returns x(t) given t, x1, and x2, or y(t) given t, y1, and y2.\nfunction calcBezier(aT: number, aA1: number, aA2: number) {\n  return ((A(aA1, aA2) * aT + B(aA1, aA2)) * aT + C(aA1)) * aT;\n}\n\n// Returns dx/dt given t, x1, and x2, or dy/dt given t, y1, and y2.\nfunction getSlope(aT: number, aA1: number, aA2: number) {\n  return 3.0 * A(aA1, aA2) * aT * aT + 2.0 * B(aA1, aA2) * aT + C(aA1);\n}\n\nfunction binarySubdivide(aX: number, aA: number, aB: number, mX1: number, mX2: number) {\n  let currentX: number;\n  let currentT: number;\n  let i = 0;\n  let aBFinal = aB;\n  let aAFinal = aA;\n\n  do {\n    currentT = aAFinal + (aBFinal - aAFinal) / 2.0;\n    currentX = calcBezier(currentT, mX1, mX2) - aX;\n    if (currentX > 0.0) {\n      aBFinal = currentT;\n    } else {\n      aAFinal = currentT;\n    }\n  } while (Math.abs(currentX) > SUBDIVISION_PRECISION && ++i < SUBDIVISION_MAX_ITERATIONS);\n  return currentT;\n}\n\nfunction newtonRaphsonIterate(aX: number, aGuessT: number, mX1: number, mX2: number) {\n  let aGuessTFinal = aGuessT;\n  for (let i = 0; i < NEWTON_ITERATIONS; ++i) {\n    const currentSlope = getSlope(aGuessTFinal, mX1, mX2);\n    if (currentSlope === 0.0) {\n      return aGuessTFinal;\n    }\n    const currentX = calcBezier(aGuessTFinal, mX1, mX2) - aX;\n    aGuessTFinal -= currentX / currentSlope;\n  }\n  return aGuessTFinal;\n}\n\nfunction LinearEasing(x: number) {\n  return x;\n}\n\n/**\n * 创建一个基于贝塞尔曲线的缓动函数。\n *\n * @param x1 - 贝塞尔曲线的第一个控制点的 X 坐标，必须在 [0, 1] 范围内。\n * @param y1 - 贝塞尔曲线的第一个控制点的 Y 坐标，必须在 [0, 1] 范围内。\n * @param x2 - 贝塞尔曲线的第二个控制点的 X 坐标，必须在 [0, 1] 范围内。\n * @param y2 - 贝塞尔曲线的第二个控制点的 Y 坐标，必须在 [0, 1] 范围内。\n * @returns 返回一个缓动函数，该函数接受一个参数 x（范围在 0 到 1 之间），并返回相应的缓动值。\n * @throws 如果 mX1 或 mX2 不在 [0, 1] 范围内，则抛出错误。\n */\nexport function createEasingFn(x1: number, y1: number, x2: number, y2: number) {\n  if (!(0 <= x1 && x1 <= 1 && 0 <= x2 && x2 <= 1)) {\n    throw new Error('bezier x values must be in [0, 1] range');\n  }\n\n  if (x1 === y1 && x2 === y2) {\n    return LinearEasing;\n  }\n\n  // Precompute samples table\n  const sampleValues = float32ArraySupported ? new Float32Array(kSplineTableSize) : new Array(kSplineTableSize);\n  for (let i = 0; i < kSplineTableSize; ++i) {\n    sampleValues[i] = calcBezier(i * kSampleStepSize, x1, x2);\n  }\n\n  function getTForX(aX: number) {\n    let intervalStart = 0.0;\n    let currentSample = 1;\n    const lastSample = kSplineTableSize - 1;\n\n    for (; currentSample !== lastSample && sampleValues[currentSample] <= aX; ++currentSample) {\n      intervalStart += kSampleStepSize;\n    }\n    --currentSample;\n\n    // Interpolate to provide an initial guess for t\n    const dist = (aX - sampleValues[currentSample]) / (sampleValues[currentSample + 1] - sampleValues[currentSample]);\n    const guessForT = intervalStart + dist * kSampleStepSize;\n    const initialSlope = getSlope(guessForT, x1, x2);\n\n    if (initialSlope >= NEWTON_MIN_SLOPE) {\n      return newtonRaphsonIterate(aX, guessForT, x1, x2);\n    }\n\n    if (initialSlope === 0.0) {\n      return guessForT;\n    }\n\n    return binarySubdivide(aX, intervalStart, intervalStart + kSampleStepSize, x1, x2);\n  }\n\n  /**\n   * 贝塞尔曲线方程\n   * @param x {number} 0~1\n   */\n  return function easingFunc(x: number) {\n    // Because JavaScript number are imprecise, we should guarantee the extremes are right.\n    if (x === 0 || x === 1) {\n      return x;\n    }\n\n    return calcBezier(getTForX(x), y1, y2);\n  };\n}\n\nexport const easingEase = createEasingFn(0.25, 0.1, 0.25, 1);\nexport const easingLinear = createEasingFn(0, 0, 1, 1);\nexport const easingSnap = createEasingFn(0, 1, 0.5, 1);\nexport const easingIn = createEasingFn(0.42, 0, 1, 1);\nexport const easingOut = createEasingFn(0, 0, 0.58, 1);\nexport const easingInOut = createEasingFn(0.42, 0, 0.58, 1);\nexport const easingInQuad = createEasingFn(0.55, 0.085, 0.68, 0.53);\nexport const easingInCubic = createEasingFn(0.55, 0.055, 0.675, 0.19);\nexport const easingInQuart = createEasingFn(0.895, 0.03, 0.685, 0.22);\nexport const easingInQuint = createEasingFn(0.755, 0.05, 0.855, 0.06);\nexport const easingInSine = createEasingFn(0.47, 0, 0.745, 0.715);\nexport const easingInExpo = createEasingFn(0.95, 0.05, 0.795, 0.035);\nexport const easingInCirc = createEasingFn(0.6, 0.04, 0.98, 0.335);\nexport const easingInBack = createEasingFn(0.6, -0.28, 0.735, 0.045);\nexport const easingOutQuad = createEasingFn(0.25, 0.46, 0.45, 0.94);\nexport const easingOutCubic = createEasingFn(0.215, 0.61, 0.355, 1);\nexport const easingOutQuart = createEasingFn(0.165, 0.84, 0.44, 1);\nexport const easingOutQuint = createEasingFn(0.23, 1, 0.32, 1);\nexport const easingOutSine = createEasingFn(0.39, 0.575, 0.565, 1);\nexport const easingOutExpo = createEasingFn(0.19, 1, 0.22, 1);\nexport const easingOutCirc = createEasingFn(0.075, 0.82, 0.165, 1);\nexport const easingOutBack = createEasingFn(0.175, 0.885, 0.32, 1.275);\nexport const easingInOutQuart = createEasingFn(0.77, 0, 0.175, 1);\nexport const easingInOutQuint = createEasingFn(0.86, 0, 0.07, 1);\nexport const easingInOutSine 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