private void Randomize(int seed)
{
_random = new int[RandomSize * 2];
if (seed != 0)
{
// Shuffle the array using the given seed
// Unpack the seed into 4 bytes then perform a bitwise XOR operation
// with each byte
var f = new byte[4];
Libnoise.UnpackLittleUint32(seed, ref f);
for (int i = 0; i < Source.Length; i++)
{
_random[i] = Source[i] ^ f[0];
_random[i] ^= f[1];
_random[i] ^= f[2];
_random[i] ^= f[3];
_random[i + RandomSize] = _random[i];
}
}
else
{
for (int i = 0; i < RandomSize; i++)
{
_random[i + RandomSize] = _random[i] = Source[i];
}
}
}
public float GetValue(float x, float y)
{
x *= _frequency;
y *= _frequency;
int xInt = (x > 0.0f ? (int)x : (int)x - 1);
int yInt = (y > 0.0f ? (int)y : (int)y - 1);
float minDist = 2147483647.0f;
float xCandidate = 0.0f;
float yCandidate = 0.0f;
// Inside each unit cube, there is a seed point at a random position. Go
// through each of the nearby cubes until we find a cube with a seed point
// that is closest to the specified position.
for (int yCur = yInt - 2; yCur <= yInt + 2; yCur++)
{
for (int xCur = xInt - 2; xCur <= xInt + 2; xCur++)
{
// Calculate the position and distance to the seed point inside of
// this unit cube.
var off = _source2D.GetValue(xCur, yCur);
float xPos = xCur + off; //_source2D.GetValue(xCur, yCur);
float yPos = yCur + off; //_source2D.GetValue(xCur, yCur);
float xDist = xPos - x;
float yDist = yPos - y;
float dist = xDist * xDist + yDist * yDist;
if (dist < minDist)
{
// This seed point is closer to any others found so far, so record
// this seed point.
minDist = dist;
xCandidate = xPos;
yCandidate = yPos;
}
}
}
float value;
if (_distance)
{
// Determine the distance to the nearest seed point.
float xDist = xCandidate - x;
float yDist = yCandidate - y;
value = (MathF.Sqrt(xDist * xDist + yDist * yDist)
) * Libnoise.Sqrt3 - 1.0f;
}
else
{
value = 0.0f;
}
// Return the calculated distance with the displacement value applied.
return(value + (_displacement * _source2D.GetValue(
Libnoise.FastFloor(xCandidate),
Libnoise.FastFloor(yCandidate))
));
}
/// <summary>
/// Generates an output value given the coordinates of the specified input value.
/// </summary>
/// <param name="x">The input coordinate on the x-axis.</param>
/// <param name="y">The input coordinate on the y-axis.</param>
/// <param name="z">The input coordinate on the z-axis.</param>
/// <param name="w">The input coordinate on the w-axis.</param>
/// <returns>The resulting output value.</returns>
public float GetValue(float x, float y, float z, float w)
{
// The skewing and unskewing factors are hairy again for the 4D case
// Noise contributions
float n0 = 0, n1 = 0, n2 = 0, n3 = 0, n4 = 0;
// from the five corners
// Skew the (x,y,z,w) space to determine which cell of 24 simplices
float s = (x + y + z + w) * F4; // Factor for 4D skewing
int i = Libnoise.FastFloor(x + s);
int j = Libnoise.FastFloor(y + s);
int k = Libnoise.FastFloor(z + s);
int l = Libnoise.FastFloor(w + s);
float t = (i + j + k + l) * G4; // Factor for 4D unskewing
// The x,y,z,w distances from the cell origin
float x0 = x - (i - t);
float y0 = y - (j - t);
float z0 = z - (k - t);
float w0 = w - (l - t);
// For the 4D case, the simplex is a 4D shape I won't even try to
// describe.
// To find out which of the 24 possible simplices we're in, we need to
// determine the magnitude ordering of x0, y0, z0 and w0.
// The method below is a good way of finding the ordering of x,y,z,w and
// then find the correct traversal order for the simplex were in.
// First, six pair-wise comparisons are performed between each possible
// pair of the four coordinates, and the results are used to add up
// binary bits for an integer index.
int c = 0;
if (x0 > y0)
{
c = 0x20;
}
if (x0 > z0)
{
c |= 0x10;
}
if (y0 > z0)
{
c |= 0x08;
}
if (x0 > w0)
{
c |= 0x04;
}
if (y0 > w0)
{
c |= 0x02;
}
if (z0 > w0)
{
c |= 0x01;
}
int i1, j1, k1, l1; // The integer offsets for the second simplex corner
int i2, j2, k2, l2; // The integer offsets for the third simplex corner
int i3, j3, k3, l3; // The integer offsets for the fourth simplex corner
// simplex[c] is a 4-vector with the numbers 0, 1, 2 and 3 in some
// order. Many values of c will never occur, since e.g. x>y>z>w makes
// x<z, y<w and x<w impossible. Only the 24 indices which have non-zero
// entries make any sense. We use a thresholding to set the coordinates
// in turn from the largest magnitude. The number 3 in the "simplex"
// array is at the position of the largest coordinate.
int[] sc = Simplex[c];
i1 = sc[0] >= 3 ? 1 : 0;
j1 = sc[1] >= 3 ? 1 : 0;
k1 = sc[2] >= 3 ? 1 : 0;
l1 = sc[3] >= 3 ? 1 : 0;
// The number 2 in the "simplex" array is at the second largest coordinate.
i2 = sc[0] >= 2 ? 1 : 0;
j2 = sc[1] >= 2 ? 1 : 0;
k2 = sc[2] >= 2 ? 1 : 0;
l2 = sc[3] >= 2 ? 1 : 0;
// The number 1 in the "simplex" array is at the second smallest coordinate.
i3 = sc[0] >= 1 ? 1 : 0;
j3 = sc[1] >= 1 ? 1 : 0;
k3 = sc[2] >= 1 ? 1 : 0;
l3 = sc[3] >= 1 ? 1 : 0;
// The fifth corner has all coordinate offsets = 1, so no need to look that up.
float x1 = x0 - i1 + G4; // Offsets for second corner in (x,y,z,w)
float y1 = y0 - j1 + G4;
float z1 = z0 - k1 + G4;
float w1 = w0 - l1 + G4;
float x2 = x0 - i2 + G42; // Offsets for third corner in (x,y,z,w)
float y2 = y0 - j2 + G42;
float z2 = z0 - k2 + G42;
float w2 = w0 - l2 + G42;
float x3 = x0 - i3 + G43; // Offsets for fourth corner in (x,y,z,w)
float y3 = y0 - j3 + G43;
float z3 = z0 - k3 + G43;
float w3 = w0 - l3 + G43;
float x4 = x0 + G44; // Offsets for last corner in (x,y,z,w)
float y4 = y0 + G44;
float z4 = z0 + G44;
float w4 = w0 + G44;
// Work out the hashed gradient indices of the five simplex corners
int ii = i & 0xff;
int jj = j & 0xff;
int kk = k & 0xff;
int ll = l & 0xff;
// Calculate the contribution from the five corners
float t0 = 0.6f - x0 * x0 - y0 * y0 - z0 * z0 - w0 * w0;
if (t0 > 0)
{
t0 *= t0;
int gi0 = _random[ii + _random[jj + _random[kk + _random[ll]]]] % 32;
n0 = t0 * t0 * Dot(Grad4[gi0], x0, y0, z0, w0);
}
float t1 = 0.6f - x1 * x1 - y1 * y1 - z1 * z1 - w1 * w1;
if (t1 > 0)
{
t1 *= t1;
int gi1 =
_random[
ii + i1 + _random[jj + j1 + _random[kk + k1 + _random[ll + l1]]]] % 32;
n1 = t1 * t1 * Dot(Grad4[gi1], x1, y1, z1, w1);
}
float t2 = 0.6f - x2 * x2 - y2 * y2 - z2 * z2 - w2 * w2;
if (t2 > 0)
{
t2 *= t2;
int gi2 =
_random[
ii + i2 + _random[jj + j2 + _random[kk + k2 + _random[ll + l2]]]] % 32;
n2 = t2 * t2 * Dot(Grad4[gi2], x2, y2, z2, w2);
}
float t3 = 0.6f - x3 * x3 - y3 * y3 - z3 * z3 - w3 * w3;
if (t3 > 0)
{
t3 *= t3;
int gi3 =
_random[
ii + i3 + _random[jj + j3 + _random[kk + k3 + _random[ll + l3]]]] % 32;
n3 = t3 * t3 * Dot(Grad4[gi3], x3, y3, z3, w3);
}
float t4 = 0.6f - x4 * x4 - y4 * y4 - z4 * z4 - w4 * w4;
if (t4 > 0)
{
t4 *= t4;
int gi4 =
_random[ii + 1 + _random[jj + 1 + _random[kk + 1 + _random[ll + 1]]]
] % 32;
n4 = t4 * t4 * Dot(Grad4[gi4], x4, y4, z4, w4);
}
// Sum up and scale the result to cover the range [-1,1]
return(27.0f * (n0 + n1 + n2 + n3 + n4));
}
/// <summary>
/// Generates an output value given the coordinates of the specified input value.
/// </summary>
/// <param name="x">The input coordinate on the x-axis.</param>
/// <param name="y">The input coordinate on the y-axis.</param>
/// <param name="z">The input coordinate on the z-axis.</param>
/// <returns>The resulting output value.</returns>
public float GetValue(float x, float y, float z)
{
float n0 = 0, n1 = 0, n2 = 0, n3 = 0;
// Noise contributions from the four corners
// Skew the input space to determine which simplex cell we're in
float s = (x + y + z) * F3;
// for 3D
int i = Libnoise.FastFloor(x + s);
int j = Libnoise.FastFloor(y + s);
int k = Libnoise.FastFloor(z + s);
float t = (i + j + k) * G3;
// The x,y,z distances from the cell origin
float x0 = x - (i - t);
float y0 = y - (j - t);
float z0 = z - (k - t);
// For the 3D case, the simplex shape is a slightly irregular tetrahedron.
// Determine which simplex we are in.
// Offsets for second corner of simplex in (i,j,k)
int i1, j1, k1;
// coords
int i2, j2, k2; // Offsets for third corner of simplex in (i,j,k) coords
if (x0 >= y0)
{
if (y0 >= z0)
{
// X Y Z order
i1 = 1;
j1 = 0;
k1 = 0;
i2 = 1;
j2 = 1;
k2 = 0;
}
else if (x0 >= z0)
{
// X Z Y order
i1 = 1;
j1 = 0;
k1 = 0;
i2 = 1;
j2 = 0;
k2 = 1;
}
else
{
// Z X Y order
i1 = 0;
j1 = 0;
k1 = 1;
i2 = 1;
j2 = 0;
k2 = 1;
}
}
else
{
// x0 < y0
if (y0 < z0)
{
// Z Y X order
i1 = 0;
j1 = 0;
k1 = 1;
i2 = 0;
j2 = 1;
k2 = 1;
}
else if (x0 < z0)
{
// Y Z X order
i1 = 0;
j1 = 1;
k1 = 0;
i2 = 0;
j2 = 1;
k2 = 1;
}
else
{
// Y X Z order
i1 = 0;
j1 = 1;
k1 = 0;
i2 = 1;
j2 = 1;
k2 = 0;
}
}
// A step of (1,0,0) in (i,j,k) means a step of (1-c,-c,-c) in (x,y,z),
// a step of (0,1,0) in (i,j,k) means a step of (-c,1-c,-c) in (x,y,z),
// and
// a step of (0,0,1) in (i,j,k) means a step of (-c,-c,1-c) in (x,y,z),
// where c = 1/6.
// Offsets for second corner in (x,y,z) coords
float x1 = x0 - i1 + G3;
float y1 = y0 - j1 + G3;
float z1 = z0 - k1 + G3;
// Offsets for third corner in (x,y,z)
float x2 = x0 - i2 + F3;
float y2 = y0 - j2 + F3;
float z2 = z0 - k2 + F3;
// Offsets for last corner in (x,y,z)
float x3 = x0 - 0.5f;
float y3 = y0 - 0.5f;
float z3 = z0 - 0.5f;
// Work out the hashed gradient indices of the four simplex corners
int ii = i & 0xff;
int jj = j & 0xff;
int kk = k & 0xff;
// Calculate the contribution from the four corners
float t0 = 0.6f - x0 * x0 - y0 * y0 - z0 * z0;
if (t0 > 0)
{
t0 *= t0;
int gi0 = _random[ii + _random[jj + _random[kk]]] % 12;
n0 = t0 * t0 * Dot(Grad3[gi0], x0, y0, z0);
}
float t1 = 0.6f - x1 * x1 - y1 * y1 - z1 * z1;
if (t1 > 0)
{
t1 *= t1;
int gi1 = _random[ii + i1 + _random[jj + j1 + _random[kk + k1]]] % 12;
n1 = t1 * t1 * Dot(Grad3[gi1], x1, y1, z1);
}
float t2 = 0.6f - x2 * x2 - y2 * y2 - z2 * z2;
if (t2 > 0)
{
t2 *= t2;
int gi2 = _random[ii + i2 + _random[jj + j2 + _random[kk + k2]]] % 12;
n2 = t2 * t2 * Dot(Grad3[gi2], x2, y2, z2);
}
float t3 = 0.6f - x3 * x3 - y3 * y3 - z3 * z3;
if (t3 > 0)
{
t3 *= t3;
int gi3 = _random[ii + 1 + _random[jj + 1 + _random[kk + 1]]] % 12;
n3 = t3 * t3 * Dot(Grad3[gi3], x3, y3, z3);
}
// Add contributions from each corner to get the final noise value.
// The result is scaled to stay just inside [-1,1]
return(32.0f * (n0 + n1 + n2 + n3));
}
/// <summary>
/// Generates an output value given the coordinates of the specified input value.
/// </summary>
/// <param name="x">The input coordinate on the x-axis.</param>
/// <param name="y">The input coordinate on the y-axis.</param>
/// <returns>The resulting output value.</returns>
public float GetValue(float x, float y)
{
// Noise contributions from the three corners
float n0 = 0, n1 = 0, n2 = 0;
// Skew the input space to determine which simplex cell we're in
float s = (x + y) * F2; // Hairy factor for 2D
int i = Libnoise.FastFloor(x + s);
int j = Libnoise.FastFloor(y + s);
float t = (i + j) * G2;
// The x,y distances from the cell origin
float x0 = x - (i - t);
float y0 = y - (j - t);
// For the 2D case, the simplex shape is an equilateral triangle.
// Determine which simplex we are in.
// Offsets for second (middle) corner of simplex in (i,j)
int i1, j1;
if (x0 > y0)
{
// lower triangle, XY order: (0,0)->(1,0)->(1,1)
i1 = 1;
j1 = 0;
}
else
{
// upper triangle, YX order: (0,0)->(0,1)->(1,1)
i1 = 0;
j1 = 1;
}
// A step of (1,0) in (i,j) means a step of (1-c,-c) in (x,y), and
// a step of (0,1) in (i,j) means a step of (-c,1-c) in (x,y), where
// c = (3-sqrt(3))/6
float x1 = x0 - i1 + G2; // Offsets for middle corner in (x,y) unskewed
float y1 = y0 - j1 + G2;
float x2 = x0 + G22; // Offsets for last corner in (x,y) unskewed
float y2 = y0 + G22;
// Work out the hashed gradient indices of the three simplex corners
int ii = i & 0xff;
int jj = j & 0xff;
// Calculate the contribution from the three corners
float t0 = 0.5f - x0 * x0 - y0 * y0;
if (t0 > 0)
{
t0 *= t0;
int gi0 = _random[ii + _random[jj]] % 8;
n0 = t0 * t0 * Dot(Grad2[gi0], x0, y0); // (x,y) of grad3 used for
// 2D gradient
}
float t1 = 0.5f - x1 * x1 - y1 * y1;
if (t1 > 0)
{
t1 *= t1;
int gi1 = _random[ii + i1 + _random[jj + j1]] % 8;
n1 = t1 * t1 * Dot(Grad2[gi1], x1, y1);
}
float t2 = 0.5f - x2 * x2 - y2 * y2;
if (t2 > 0)
{
t2 *= t2;
int gi2 = _random[ii + 1 + _random[jj + 1]] % 8;
n2 = t2 * t2 * Dot(Grad2[gi2], x2, y2);
}
// Add contributions from each corner to get the final noise value.
// The result is scaled to return values in the interval [-1,1].
return(47.0f * (n0 + n1 + n2));
}