@tamagui/react-native-web-lite/dist/cjs/vendor/react-native/Animated/bezier.cjs

React Native for Web

"use strict";

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);
var bezier_exports = {};
__export(bezier_exports, {
  bezier: () => bezier,
  default: () => bezier_default
});
module.exports = __toCommonJS(bezier_exports);
const NEWTON_ITERATIONS = 4;
const NEWTON_MIN_SLOPE = 1e-3;
const SUBDIVISION_PRECISION = 1e-7;
const SUBDIVISION_MAX_ITERATIONS = 10;
const kSplineTableSize = 11;
const kSampleStepSize = 1 / (kSplineTableSize - 1);
const float32ArraySupported = typeof Float32Array === "function";
function A(aA1, aA2) {
  return 1 - 3 * aA2 + 3 * aA1;
}
function B(aA1, aA2) {
  return 3 * aA2 - 6 * aA1;
}
function C(aA1) {
  return 3 * aA1;
}
function calcBezier(aT, aA1, aA2) {
  return ((A(aA1, aA2) * aT + B(aA1, aA2)) * aT + C(aA1)) * aT;
}
function getSlope(aT, aA1, aA2) {
  return 3 * A(aA1, aA2) * aT * aT + 2 * B(aA1, aA2) * aT + C(aA1);
}
function binarySubdivide(aX, _aA, _aB, mX1, mX2) {
  let currentX,
    currentT,
    i = 0,
    aA = _aA,
    aB = _aB;
  do {
    currentT = aA + (aB - aA) / 2;
    currentX = calcBezier(currentT, mX1, mX2) - aX;
    if (currentX > 0) {
      aB = currentT;
    } else {
      aA = currentT;
    }
  } while (Math.abs(currentX) > SUBDIVISION_PRECISION && ++i < SUBDIVISION_MAX_ITERATIONS);
  return currentT;
}
function newtonRaphsonIterate(aX, _aGuessT, mX1, mX2) {
  let aGuessT = _aGuessT;
  for (let i = 0; i < NEWTON_ITERATIONS; ++i) {
    const currentSlope = getSlope(aGuessT, mX1, mX2);
    if (currentSlope === 0) {
      return aGuessT;
    }
    const currentX = calcBezier(aGuessT, mX1, mX2) - aX;
    aGuessT -= currentX / currentSlope;
  }
  return aGuessT;
}
function bezier(mX1, mY1, mX2, mY2) {
  if (!(mX1 >= 0 && mX1 <= 1 && mX2 >= 0 && mX2 <= 1)) {
    throw new Error("bezier x values must be in [0, 1] range");
  }
  const sampleValues = float32ArraySupported ? new Float32Array(kSplineTableSize) : new Array(kSplineTableSize);
  if (mX1 !== mY1 || mX2 !== mY2) {
    for (let i = 0; i < kSplineTableSize; ++i) {
      sampleValues[i] = calcBezier(i * kSampleStepSize, mX1, mX2);
    }
  }
  function getTForX(aX) {
    let intervalStart = 0;
    let currentSample = 1;
    const lastSample = kSplineTableSize - 1;
    for (; currentSample !== lastSample && sampleValues[currentSample] <= aX; ++currentSample) {
      intervalStart += kSampleStepSize;
    }
    --currentSample;
    const dist = (aX - sampleValues[currentSample]) / (sampleValues[currentSample + 1] - sampleValues[currentSample]);
    const guessForT = intervalStart + dist * kSampleStepSize;
    const initialSlope = getSlope(guessForT, mX1, mX2);
    if (initialSlope >= NEWTON_MIN_SLOPE) {
      return newtonRaphsonIterate(aX, guessForT, mX1, mX2);
    } else if (initialSlope === 0) {
      return guessForT;
    } else {
      return binarySubdivide(aX, intervalStart, intervalStart + kSampleStepSize, mX1, mX2);
    }
  }
  return function BezierEasing(x) {
    if (mX1 === mY1 && mX2 === mY2) {
      return x;
    }
    if (x === 0) {
      return 0;
    }
    if (x === 1) {
      return 1;
    }
    return calcBezier(getTForX(x), mY1, mY2);
  };
}
var bezier_default = bezier;