.bezierEasingMixin() {
  @functions: ~`(function() {
    var NEWTON_ITERATIONS = 4;
    var NEWTON_MIN_SLOPE = 0.001;
    var SUBDIVISION_PRECISION = 0.0000001;
    var SUBDIVISION_MAX_ITERATIONS = 10;

    var kSplineTableSize = 11;
    var kSampleStepSize = 1.0 / (kSplineTableSize - 1.0);

    var float32ArraySupported = typeof Float32Array === "function";

    function A(aA1, aA2) {
      return 1.0 - 3.0 * aA2 + 3.0 * aA1;
    }
    function B(aA1, aA2) {
      return 3.0 * aA2 - 6.0 * aA1;
    }
    function C(aA1){
      return 3.0 * aA1;
    }

    function calcBezier(aT, aA1, aA2) {
      return ((A(aA1, aA2) * aT + B(aA1, aA2)) * aT + C(aA1)) * aT;
    }

    function getSlope(aT, aA1, aA2) {
      return 3.0 * A(aA1, aA2) * aT * aT + 2.0 * B(aA1, aA2) * aT + C(aA1);
    }

    function binarySubdivide(aX, aA, aB, mX1, mX2) {
      var currentX, currentT, i = 0;

      do {
        currentT = aA + (aB - aA) / 2.0;
        currentX = calcBezier(currentT, mX1, mX2) - aX;

        if (currentX > 0.0) {
          aB = currentT;
        } else {
          aA = currentT;
        }
      } while (Math.abs(currentX) > SUBDIVISION_PRECISION && ++i < SUBDIVISION_MAX_ITERATIONS);

      return currentT;
    }

    function newtonRaphsonIterate(aX, aGuessT, mX1, mX2) {
      for (var i = 0; i < NEWTON_ITERATIONS; ++i) {
        var currentSlope = getSlope(aGuessT, mX1, mX2);

        if (currentSlope === 0.0) {
          return aGuessT;
        }

        var currentX = calcBezier(aGuessT, mX1, mX2) - aX;

        aGuessT -= currentX / currentSlope;
      }

      return aGuessT;
    }

    var BezierEasing = function(mX1, mY1, mX2, mY2) {
      if (!(0 <= mX1 && mX1 <= 1 && 0 <= mX2 && mX2 <= 1)) {
        throw new Error('bezier x values must be in [0, 1] range');
      }

      var sampleValues = float32ArraySupported ? new Float32Array(kSplineTableSize) : new Array(kSplineTableSize);

      if (mX1 !== mY1 || mX2 !== mY2) {
        for (var i = 0; i < kSplineTableSize; ++i) {
          sampleValues[i] = calcBezier(i * kSampleStepSize, mX1, mX2);
        }
      }

      function getTForX(aX) {
        var intervalStart = 0.0;
        var currentSample = 1;
        var lastSample = kSplineTableSize - 1;

        for (; currentSample !== lastSample && sampleValues[currentSample] <= aX; ++currentSample) {
          intervalStart += kSampleStepSize;
        }

        --currentSample;

        var dist = (aX - sampleValues[currentSample]) / (sampleValues[currentSample + 1] - sampleValues[currentSample]);
        var guessForT = intervalStart + dist * kSampleStepSize;
        var initialSlope = getSlope(guessForT, mX1, mX2);

        if (initialSlope >= NEWTON_MIN_SLOPE) {
          return newtonRaphsonIterate(aX, guessForT, mX1, mX2);
        } else if (initialSlope === 0.0) {
          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);
      };
    };

    this.colorEasing = BezierEasing(0.26, 0.09, 0.37, 0.18);

    return "";
  })()`;
}

.bezierEasingMixin();