void Update()
{
float[] offset = new float[] { 0.5f * Time.time, 0.25f * Time.time, 0.1f * Time.time };
int seed = (int)Mathf.Floor(2.0f * Time.time);
float[] output1 = new float[m_gridExtent];
float[] output1Sqr = new float[m_gridExtent * m_gridExtent];
float[] output1Cub = new float[m_gridExtent * m_gridExtent * m_gridExtent];
float[,] output2 = new float[m_gridExtent, m_gridExtent];
float[,,] output3 = new float[m_gridExtent, m_gridExtent, m_gridExtent];
Vector2[] output1v2 = new Vector2[m_gridExtent];
Vector2[] output1v2Sqr = new Vector2[m_gridExtent * m_gridExtent];
Vector2[,] output2v2 = new Vector2[m_gridExtent, m_gridExtent];
Vector3[] output1v3 = new Vector3[m_gridExtent];
Vector3[] output1v3Sqr = new Vector3[m_gridExtent * m_gridExtent];
Vector3[] output1v3Cub = new Vector3[m_gridExtent * m_gridExtent * m_gridExtent];
Vector3[,] output2v3 = new Vector3[m_gridExtent, m_gridExtent];
Vector3[,,] output3v3 = new Vector3[m_gridExtent, m_gridExtent, m_gridExtent];
float[] scale = new float[] { 3.0f, 3.0f, 3.0f };
float[] period = new float[] { 0.15f, 0.15f, 0.15f };
Vector2[] input1v2 = new Vector2[m_gridExtent];
Vector2[] input1v2Sqr = new Vector2[m_gridExtent * m_gridExtent];
Vector3[] input1v3 = new Vector3[m_gridExtent];
Vector3[] input1v3Sqr = new Vector3[m_gridExtent * m_gridExtent];
Vector3[] input1v3Cub = new Vector3[m_gridExtent * m_gridExtent * m_gridExtent];
for (int z = 0; z < m_gridExtent; ++z)
{
for (int y = 0; y < m_gridExtent; ++y)
{
for (int x = 0; x < m_gridExtent; ++x)
{
int i = ((z * m_gridExtent) + y) * m_gridExtent + x;
if (z == 0)
{
if (y == 0)
{
Vector3 p1 = new Vector3(x, y, z);
input1v2[i].Set(p1.x, p1.y);
input1v3[i] = p1;
}
Vector3 p2 = new Vector3(x, y, z);
input1v2Sqr[i].Set(p2.x, p2.y);
input1v3Sqr[i] = p2;
}
Vector3 p3 = new Vector3(x, y, z);
input1v3Cub[i] = p3;
}
}
}
switch (m_noiseType)
{
case NoiseType.Classic1D:
offset[1] = offset[2] = 0.0f;
switch (m_mode)
{
case Mode.kGpuComputeGridSamples:
ClassicNoise.Compute(output1, scale[0], offset[0], m_numOctaves, m_octaveOffsetFactor);
Draw(output1);
break;
case Mode.kGpuComputeCustomSamples:
ClassicNoise.Compute(input1v2, output1, scale, offset, m_numOctaves, m_octaveOffsetFactor);
Draw(input1v2, output1);
break;
case Mode.kCpu:
// TODO
break;
}
break;
case NoiseType.Classic2D:
offset[2] = 0.0f;
switch (m_mode)
{
case Mode.kGpuComputeGridSamples:
ClassicNoise.Compute(output2, scale, offset, m_numOctaves, m_octaveOffsetFactor);
Draw(output2);
break;
case Mode.kGpuComputeCustomSamples:
ClassicNoise.Compute(input1v2Sqr, output1Sqr, scale, offset, m_numOctaves, m_octaveOffsetFactor);
Draw(input1v2Sqr, output1Sqr);
break;
case Mode.kCpu:
// TODO
break;
}
break;
case NoiseType.Classic3D:
switch (m_mode)
{
case Mode.kGpuComputeGridSamples:
ClassicNoise.Compute(output3, scale, offset, m_numOctaves, m_octaveOffsetFactor);
Draw(output3);
break;
case Mode.kGpuComputeCustomSamples:
ClassicNoise.Compute(input1v3Cub, output1Cub, scale, offset, m_numOctaves, m_octaveOffsetFactor);
Draw(input1v3Cub, output1Cub);
break;
case Mode.kCpu:
// TODO
break;
}
break;
case NoiseType.ClassicPeriodic1D:
offset[1] = offset[2] = 0.0f;
switch (m_mode)
{
case Mode.kGpuComputeGridSamples:
ClassicNoisePeriodic.Compute(output1, scale[0], offset[0], period[0], m_numOctaves, m_octaveOffsetFactor);
Draw(output1);
break;
case Mode.kGpuComputeCustomSamples:
ClassicNoisePeriodic.Compute(input1v2, output1, scale, offset, period, m_numOctaves, m_octaveOffsetFactor);
Draw(input1v2, output1);
break;
case Mode.kCpu:
// TODO
break;
}
break;
case NoiseType.ClassicPeriodic2D:
switch (m_mode)
{
case Mode.kGpuComputeGridSamples:
ClassicNoisePeriodic.Compute(output2, scale, offset, period, m_numOctaves, m_octaveOffsetFactor);
Draw(output2);
break;
case Mode.kGpuComputeCustomSamples:
offset[2] = 0.0f;
ClassicNoisePeriodic.Compute(input1v2Sqr, output1Sqr, scale, offset, period, m_numOctaves, m_octaveOffsetFactor);
Draw(input1v2Sqr, output1Sqr);
break;
case Mode.kCpu:
// TODO
break;
}
break;
case NoiseType.ClassicPeriodic3D:
switch (m_mode)
{
case Mode.kGpuComputeGridSamples:
ClassicNoisePeriodic.Compute(output3, scale, offset, period, m_numOctaves, m_octaveOffsetFactor);
Draw(output3);
break;
case Mode.kGpuComputeCustomSamples:
ClassicNoisePeriodic.Compute(input1v3Cub, output1Cub, scale, offset, period, m_numOctaves, m_octaveOffsetFactor);
Draw(input1v3Cub, output1Cub);
break;
case Mode.kCpu:
// TODO
break;
}
break;
case NoiseType.Random1D:
offset[1] = offset[2] = 0.0f;
switch (m_mode)
{
case Mode.kGpuComputeGridSamples:
case Mode.kGpuComputeCustomSamples: // pointless
RandomNoise.Compute(output1, seed);
Draw(output1);
break;
case Mode.kCpu:
for (int x = 0; x < output1.GetLength(0); ++x)
{
output1[x] = RandomNoise.Get(x, seed);
}
Draw(output1);
break;
}
break;
case NoiseType.Random2D:
offset[2] = 0.0f;
switch (m_mode)
{
case Mode.kGpuComputeGridSamples:
case Mode.kGpuComputeCustomSamples: // pointless
RandomNoise.Compute(output2, seed);
Draw(output2);
break;
case Mode.kCpu:
for (int y = 0; y < output2.GetLength(1); ++y)
{
for (int x = 0; x < output2.GetLength(0); ++x)
{
output2[y, x] = RandomNoise.Get(new Vector2(x, y), seed);
}
}
Draw(output2);
break;
}
break;
case NoiseType.Random3D:
switch (m_mode)
{
case Mode.kGpuComputeGridSamples:
case Mode.kGpuComputeCustomSamples: // pointless
RandomNoise.Compute(output3, seed);
break;
case Mode.kCpu:
for (int z = 0; z < output3.GetLength(2); ++z)
{
for (int y = 0; y < output3.GetLength(1); ++y)
{
for (int x = 0; x < output3.GetLength(0); ++x)
{
output3[z, y, x] = RandomNoise.Get(new Vector3(x, y, z), seed);
}
}
}
break;
}
Draw(output3);
break;
case NoiseType.RandomVector1DVec2:
offset[1] = offset[2] = 0.0f;
RandomNoiseVector.Compute(output1v2, seed);
Draw(output1v2);
break;
case NoiseType.RandomVector2DVec2:
offset[2] = 0.0f;
RandomNoiseVector.Compute(output2v2, seed);
Draw(output2v2);
break;
case NoiseType.RandomVector1DVec3:
offset[1] = offset[2] = 0.0f;
RandomNoiseVector.Compute(output1v3, seed);
Draw(output1v3);
break;
case NoiseType.RandomVector2DVec3:
offset[2] = 0.0f;
RandomNoiseVector.Compute(output2v3, seed);
Draw(output2v3);
break;
case NoiseType.RandomVector3DVec3:
RandomNoiseVector.Compute(output3v3, seed);
Draw(output3v3);
break;
case NoiseType.Simplex1D:
offset[1] = offset[2] = 0.0f;
switch (m_mode)
{
case Mode.kGpuComputeGridSamples:
SimplexNoise.Compute(output1, scale[0], offset[0], m_numOctaves, m_octaveOffsetFactor);
Draw(output1);
break;
case Mode.kGpuComputeCustomSamples:
SimplexNoise.Compute(input1v2, output1, scale, offset, m_numOctaves, m_octaveOffsetFactor);
Draw(input1v2, output1);
break;
case Mode.kCpu:
// TODO
break;
}
break;
case NoiseType.Simplex2D:
offset[2] = 0.0f;
switch (m_mode)
{
case Mode.kGpuComputeGridSamples:
SimplexNoise.Compute(output2, scale, offset, m_numOctaves, m_octaveOffsetFactor);
Draw(output2);
break;
case Mode.kGpuComputeCustomSamples:
SimplexNoise.Compute(input1v2Sqr, output1Sqr, scale, offset, m_numOctaves, m_octaveOffsetFactor);
Draw(input1v2Sqr, output1Sqr);
break;
case Mode.kCpu:
// TODO
break;
}
break;
case NoiseType.Simplex3D:
switch (m_mode)
{
case Mode.kGpuComputeGridSamples:
SimplexNoise.Compute(output3, scale, offset, m_numOctaves, m_octaveOffsetFactor);
Draw(output3);
break;
case Mode.kGpuComputeCustomSamples:
SimplexNoise.Compute(input1v3Cub, output1Cub, scale, offset, m_numOctaves, m_octaveOffsetFactor);
Draw(input1v3Cub, output1Cub);
break;
case Mode.kCpu:
// TODO
break;
}
break;
case NoiseType.SimplexGradient1DVec2:
offset[1] = offset[2] = 0.0f;
switch (m_mode)
{
case Mode.kGpuComputeGridSamples:
SimplexNoiseGradient.Compute(output1v2, scale[0], offset[0], m_numOctaves, m_octaveOffsetFactor);
Draw(output1v2);
break;
case Mode.kGpuComputeCustomSamples:
SimplexNoiseGradient.Compute(input1v2, output1v2, scale, offset, m_numOctaves, m_octaveOffsetFactor);
Draw(input1v2, output1v2);
break;
case Mode.kCpu:
// TODO
break;
}
break;
case NoiseType.SimplexGradient2DVec2:
offset[2] = 0.0f;
switch (m_mode)
{
case Mode.kGpuComputeGridSamples:
SimplexNoiseGradient.Compute(output2v2, scale, offset, m_numOctaves, m_octaveOffsetFactor);
Draw(output2v2);
break;
case Mode.kGpuComputeCustomSamples:
SimplexNoiseGradient.Compute(input1v2Sqr, output1v2Sqr, scale, offset, m_numOctaves, m_octaveOffsetFactor);
Draw(input1v2Sqr, output1v2Sqr);
break;
case Mode.kCpu:
// TODO
break;
}
break;
case NoiseType.SimplexGradient1DVec3:
offset[1] = offset[2] = 0.0f;
switch (m_mode)
{
case Mode.kGpuComputeGridSamples:
SimplexNoiseGradient.Compute(output1v3, scale[0], offset[0], m_numOctaves, m_octaveOffsetFactor);
Draw(output1v3);
break;
case Mode.kGpuComputeCustomSamples:
SimplexNoiseGradient.Compute(input1v3, output1v3, scale, offset, m_numOctaves, m_octaveOffsetFactor);
Draw(input1v3, output1v3);
break;
case Mode.kCpu:
// TODO
break;
}
break;
case NoiseType.SimplexGradient2DVec3:
offset[2] = 0.0f;
switch (m_mode)
{
case Mode.kGpuComputeGridSamples:
SimplexNoiseGradient.Compute(output2v3, scale, offset, m_numOctaves, m_octaveOffsetFactor);
Draw(output2v3);
break;
case Mode.kGpuComputeCustomSamples:
SimplexNoiseGradient.Compute(input1v3Sqr, output1v3Sqr, scale, offset, m_numOctaves, m_octaveOffsetFactor);
Draw(input1v3Sqr, output1v3Sqr);
break;
case Mode.kCpu:
// TODO
break;
}
break;
case NoiseType.SimplexGradient3DVec3:
switch (m_mode)
{
case Mode.kGpuComputeGridSamples:
SimplexNoiseGradient.Compute(output3v3, scale, offset, m_numOctaves, m_octaveOffsetFactor);
Draw(output3v3);
break;
case Mode.kGpuComputeCustomSamples:
SimplexNoiseGradient.Compute(input1v3Cub, output1v3Cub, scale, offset, m_numOctaves, m_octaveOffsetFactor);
Draw(input1v3Cub, output1v3Cub);
break;
case Mode.kCpu:
// TODO
break;
}
break;
}
}