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11 KiB
{"ast":null,"code":"'use strict';\nvar NEWTON_ITERATIONS = 4;\nvar NEWTON_MIN_SLOPE = 0.001;\nvar SUBDIVISION_PRECISION = 0.0000001;\nvar SUBDIVISION_MAX_ITERATIONS = 10;\nvar kSplineTableSize = 11;\nvar kSampleStepSize = 1.0 / (kSplineTableSize - 1.0);\nvar float32ArraySupported = typeof Float32Array === 'function';\nfunction A(aA1, aA2) {\n return 1.0 - 3.0 * aA2 + 3.0 * aA1;\n}\nfunction B(aA1, aA2) {\n return 3.0 * aA2 - 6.0 * aA1;\n}\nfunction C(aA1) {\n return 3.0 * aA1;\n}\nfunction calcBezier(aT, aA1, aA2) {\n return ((A(aA1, aA2) * aT + B(aA1, aA2)) * aT + C(aA1)) * aT;\n}\nfunction getSlope(aT, aA1, aA2) {\n return 3.0 * A(aA1, aA2) * aT * aT + 2.0 * B(aA1, aA2) * aT + C(aA1);\n}\nfunction binarySubdivide(aX, _aA, _aB, mX1, mX2) {\n var currentX,\n currentT,\n i = 0,\n aA = _aA,\n aB = _aB;\n do {\n currentT = aA + (aB - aA) / 2.0;\n currentX = calcBezier(currentT, mX1, mX2) - aX;\n if (currentX > 0.0) {\n aB = currentT;\n } else {\n aA = currentT;\n }\n } while (Math.abs(currentX) > SUBDIVISION_PRECISION && ++i < SUBDIVISION_MAX_ITERATIONS);\n return currentT;\n}\nfunction newtonRaphsonIterate(aX, _aGuessT, mX1, mX2) {\n var aGuessT = _aGuessT;\n for (var i = 0; i < NEWTON_ITERATIONS; ++i) {\n var currentSlope = getSlope(aGuessT, mX1, mX2);\n if (currentSlope === 0.0) {\n return aGuessT;\n }\n var currentX = calcBezier(aGuessT, mX1, mX2) - aX;\n aGuessT -= currentX / currentSlope;\n }\n return aGuessT;\n}\nexport default function bezier(mX1, mY1, mX2, mY2) {\n if (!(mX1 >= 0 && mX1 <= 1 && mX2 >= 0 && mX2 <= 1)) {\n throw new Error('bezier x values must be in [0, 1] range');\n }\n var sampleValues = float32ArraySupported ? new Float32Array(kSplineTableSize) : new Array(kSplineTableSize);\n if (mX1 !== mY1 || mX2 !== mY2) {\n for (var i = 0; i < kSplineTableSize; ++i) {\n sampleValues[i] = calcBezier(i * kSampleStepSize, mX1, mX2);\n }\n }\n function getTForX(aX) {\n var intervalStart = 0.0;\n var currentSample = 1;\n var lastSample = kSplineTableSize - 1;\n for (; currentSample !== lastSample && sampleValues[currentSample] <= aX; ++currentSample) {\n intervalStart += kSampleStepSize;\n }\n --currentSample;\n var dist = (aX - sampleValues[currentSample]) / (sampleValues[currentSample + 1] - sampleValues[currentSample]);\n var guessForT = intervalStart + dist * kSampleStepSize;\n var initialSlope = getSlope(guessForT, mX1, mX2);\n if (initialSlope >= NEWTON_MIN_SLOPE) {\n return newtonRaphsonIterate(aX, guessForT, mX1, mX2);\n } else if (initialSlope === 0.0) {\n return guessForT;\n } else {\n return binarySubdivide(aX, intervalStart, intervalStart + kSampleStepSize, mX1, mX2);\n }\n }\n return function BezierEasing(x) {\n if (mX1 === mY1 && mX2 === mY2) {\n return x;\n }\n if (x === 0) {\n return 0;\n }\n if (x === 1) {\n return 1;\n }\n return calcBezier(getTForX(x), mY1, mY2);\n };\n}\n;","map":{"version":3,"names":["NEWTON_ITERATIONS","NEWTON_MIN_SLOPE","SUBDIVISION_PRECISION","SUBDIVISION_MAX_ITERATIONS","kSplineTableSize","kSampleStepSize","float32ArraySupported","Float32Array","A","aA1","aA2","B","C","calcBezier","aT","getSlope","binarySubdivide","aX","_aA","_aB","mX1","mX2","currentX","currentT","i","aA","aB","Math","abs","newtonRaphsonIterate","_aGuessT","aGuessT","currentSlope","bezier","mY1","mY2","Error","sampleValues","Array","getTForX","intervalStart","currentSample","lastSample","dist","guessForT","initialSlope","BezierEasing","x"],"sources":["/Users/thomaschazot/Documents/But2A/LaSuperMeteo/iut-expo-starter/node_modules/react-native-web/dist/vendor/react-native/Animated/bezier.js"],"sourcesContent":["/**\n * Portions Copyright (c) Meta Platforms, Inc. and affiliates.\n *\n * This source code is licensed under the MIT license found in the\n * LICENSE file in the root directory of this source tree.\n *\n * \n * @format\n */\n\n/**\n * BezierEasing - use bezier curve for transition easing function\n * https://github.com/gre/bezier-easing\n * @copyright 2014-2015 Gaëtan Renaudeau. 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