noise3 method

@override double noise3(double x, double y, double z)

Implementation

@override
double noise3(double x, double y, double z) {
  List<double> box =
      getScaleBoundsC3D4(x, y, z).map((e) => e.toDouble()).toList();
  return trihermite(
      input.noise3(box[X1_D4], box[Y1_D4], box[Z1_D4]),
      input.noise3(box[X1_D4], box[Y2_D4], box[Z1_D4]),
      input.noise3(box[X1_D4], box[Y3_D4], box[Z1_D4]),
      input.noise3(box[X1_D4], box[Y4_D4], box[Z1_D4]),
      input.noise3(box[X2_D4], box[Y1_D4], box[Z1_D4]),
      input.noise3(box[X2_D4], box[Y2_D4], box[Z1_D4]),
      input.noise3(box[X2_D4], box[Y3_D4], box[Z1_D4]),
      input.noise3(box[X2_D4], box[Y4_D4], box[Z1_D4]),
      input.noise3(box[X3_D4], box[Y1_D4], box[Z1_D4]),
      input.noise3(box[X3_D4], box[Y2_D4], box[Z1_D4]),
      input.noise3(box[X3_D4], box[Y3_D4], box[Z1_D4]),
      input.noise3(box[X3_D4], box[Y4_D4], box[Z1_D4]),
      input.noise3(box[X4_D4], box[Y1_D4], box[Z1_D4]),
      input.noise3(box[X4_D4], box[Y2_D4], box[Z1_D4]),
      input.noise3(box[X4_D4], box[Y3_D4], box[Z1_D4]),
      input.noise3(box[X4_D4], box[Y4_D4], box[Z1_D4]),
      input.noise3(box[X1_D4], box[Y1_D4], box[Z2_D4]),
      input.noise3(box[X1_D4], box[Y2_D4], box[Z2_D4]),
      input.noise3(box[X1_D4], box[Y3_D4], box[Z2_D4]),
      input.noise3(box[X1_D4], box[Y4_D4], box[Z2_D4]),
      input.noise3(box[X2_D4], box[Y1_D4], box[Z2_D4]),
      input.noise3(box[X2_D4], box[Y2_D4], box[Z2_D4]),
      input.noise3(box[X2_D4], box[Y3_D4], box[Z2_D4]),
      input.noise3(box[X2_D4], box[Y4_D4], box[Z2_D4]),
      input.noise3(box[X3_D4], box[Y1_D4], box[Z2_D4]),
      input.noise3(box[X3_D4], box[Y2_D4], box[Z2_D4]),
      input.noise3(box[X3_D4], box[Y3_D4], box[Z2_D4]),
      input.noise3(box[X3_D4], box[Y4_D4], box[Z2_D4]),
      input.noise3(box[X4_D4], box[Y1_D4], box[Z2_D4]),
      input.noise3(box[X4_D4], box[Y2_D4], box[Z2_D4]),
      input.noise3(box[X4_D4], box[Y3_D4], box[Z2_D4]),
      input.noise3(box[X4_D4], box[Y4_D4], box[Z2_D4]),
      input.noise3(box[X1_D4], box[Y1_D4], box[Z3_D4]),
      input.noise3(box[X1_D4], box[Y2_D4], box[Z3_D4]),
      input.noise3(box[X1_D4], box[Y3_D4], box[Z3_D4]),
      input.noise3(box[X1_D4], box[Y4_D4], box[Z3_D4]),
      input.noise3(box[X2_D4], box[Y1_D4], box[Z3_D4]),
      input.noise3(box[X2_D4], box[Y2_D4], box[Z3_D4]),
      input.noise3(box[X2_D4], box[Y3_D4], box[Z3_D4]),
      input.noise3(box[X2_D4], box[Y4_D4], box[Z3_D4]),
      input.noise3(box[X3_D4], box[Y1_D4], box[Z3_D4]),
      input.noise3(box[X3_D4], box[Y2_D4], box[Z3_D4]),
      input.noise3(box[X3_D4], box[Y3_D4], box[Z3_D4]),
      input.noise3(box[X3_D4], box[Y4_D4], box[Z3_D4]),
      input.noise3(box[X4_D4], box[Y1_D4], box[Z3_D4]),
      input.noise3(box[X4_D4], box[Y2_D4], box[Z3_D4]),
      input.noise3(box[X4_D4], box[Y3_D4], box[Z3_D4]),
      input.noise3(box[X4_D4], box[Y4_D4], box[Z3_D4]),
      input.noise3(box[X1_D4], box[Y1_D4], box[Z4_D4]),
      input.noise3(box[X1_D4], box[Y2_D4], box[Z4_D4]),
      input.noise3(box[X1_D4], box[Y3_D4], box[Z4_D4]),
      input.noise3(box[X1_D4], box[Y4_D4], box[Z4_D4]),
      input.noise3(box[X2_D4], box[Y1_D4], box[Z4_D4]),
      input.noise3(box[X2_D4], box[Y2_D4], box[Z4_D4]),
      input.noise3(box[X2_D4], box[Y3_D4], box[Z4_D4]),
      input.noise3(box[X2_D4], box[Y4_D4], box[Z4_D4]),
      input.noise3(box[X3_D4], box[Y1_D4], box[Z4_D4]),
      input.noise3(box[X3_D4], box[Y2_D4], box[Z4_D4]),
      input.noise3(box[X3_D4], box[Y3_D4], box[Z4_D4]),
      input.noise3(box[X3_D4], box[Y4_D4], box[Z4_D4]),
      input.noise3(box[X4_D4], box[Y1_D4], box[Z4_D4]),
      input.noise3(box[X4_D4], box[Y2_D4], box[Z4_D4]),
      input.noise3(box[X4_D4], box[Y3_D4], box[Z4_D4]),
      input.noise3(box[X4_D4], box[Y4_D4], box[Z4_D4]),
      normalize(box[X2_D4], box[X3_D4], x),
      normalize(box[Y2_D4], box[Y3_D4], y),
      normalize(box[Z2_D4], box[Z3_D4], z),
      tension,
      bias);
}