Perlin noise: Difference between revisions
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''Note: this result assumes 64 bit IEEE-754 floating point calculations. If your language uses a different floating point representation, make a note of it and calculate the value accurate to 15 decimal places, or your languages accuracy threshold if it is less. Trailing zeros need not be displayed.''
<br><br>
=={{header|11l}}==
{{trans|Python}}
<lang 11l>V p = [-1] * 512
V permutation = [151,160,137,91,90,15,
131,13,201,95,96,53,194,233,7,225,140,36,103,30,69,142,8,99,37,240,21,10,23,
190, 6,148,247,120,234,75,0,26,197,62,94,252,219,203,117,35,11,32,57,177,33,
88,237,149,56,87,174,20,125,136,171,168, 68,175,74,165,71,134,139,48,27,166,
77,146,158,231,83,111,229,122,60,211,133,230,220,105,92,41,55,46,245,40,244,
102,143,54, 65,25,63,161, 1,216,80,73,209,76,132,187,208, 89,18,169,200,196,
135,130,116,188,159,86,164,100,109,198,173,186, 3,64,52,217,226,250,124,123,
5,202,38,147,118,126,255,82,85,212,207,206,59,227,47,16,58,17,182,189,28,42,
223,183,170,213,119,248,152, 2,44,154,163, 70,221,153,101,155,167, 43,172,9,
129,22,39,253, 19,98,108,110,79,113,224,232,178,185, 112,104,218,246,97,228,
251,34,242,193,238,210,144,12,191,179,162,241, 81,51,145,235,249,14,239,107,
49,192,214, 31,181,199,106,157,184, 84,204,176,115,121,50,45,127, 4,150,254,
138,236,205,93,222,114,67,29,24,72,243,141,128,195,78,66,215,61,156,180]
L(i) 256
p[256 + i] = p[i] = permutation[i]
F fade(t)
R t ^ 3 * (t * (t * 6 - 15) + 10)
F linerp(t, a, b)
R a + t * (b - a)
F grad(hash, x, y, z)
V h = hash [&] 15
V u = I h < 8 {x} E y
V v = I h < 4 {y} E (I h C (12, 14) {x} E z)
R (I (h [&] 1) == 0 {u} E -u) + (I (h [&] 2) == 0 {v} E -v)
F perlin_noise(=x, =y, =z)
V _x_ = Int(x) [&] 255
V Y = Int(y) [&] 255
V Z = Int(z) [&] 255
x -= Int(x)
y -= Int(y)
z -= Int(z)
V u = fade(x)
V v = fade(y)
V w = fade(z)
V A = :p[_x_] + Y
V AA = :p[A] + Z
V AB = :p[A + 1] + Z
V B = :p[_x_ + 1] + Y
V BA = :p[B] + Z
V BB = :p[B + 1] + Z
R linerp(w, linerp(v, linerp(u, grad(:p[AA], x, y, z),
grad(:p[BA], x - 1, y, z)),
linerp(u, grad(:p[AB], x, y - 1, z),
grad(:p[BB], x - 1, y - 1, z))),
linerp(v, linerp(u, grad(:p[AA + 1], x, y, z - 1),
grad(:p[BA + 1], x - 1, y, z - 1)),
linerp(u, grad(:p[AB + 1], x, y - 1, z - 1),
grad(:p[BB + 1], x - 1, y - 1, z - 1))))
print(‘#.17’.format(perlin_noise(3.14, 42, 7)))</lang>
{{out}}
<pre>
0.13691995878400011
</pre>
=={{header|C}}==
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