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Merge pull request #85 from kywch/rip-vecns
Remove the vec-noise dependency, which crashes pip install
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import numpy as np | ||
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# The noise2() was ported from https://github.com/zbenjamin/vec_noise | ||
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# https://github.com/zbenjamin/vec_noise/blob/master/_noise.h#L13 | ||
GRAD3 = np.array([ | ||
[1,1,0], [-1,1,0], [1,-1,0], [-1,-1,0], | ||
[1,0,1], [-1,0,1], [1,0,-1], [-1,0,-1], | ||
[0,1,1], [0,-1,1], [0,1,-1], [0,-1,-1], | ||
[1,0,-1], [-1,0,-1], [0,-1,1], [0,1,1] | ||
]) | ||
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# https://github.com/zbenjamin/vec_noise/blob/master/_noise.h#L31 | ||
PERM = np.array([ | ||
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 | ||
], dtype=np.int32) | ||
PERM = np.concatenate((PERM, PERM)) | ||
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# 2D simplex skew factors | ||
F2 = 0.5 * (np.sqrt(3.0) - 1.0) | ||
G2 = (3.0 - np.sqrt(3.0)) / 6.0 | ||
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# https://github.com/zbenjamin/vec_noise/blob/master/_simplex.c#L46 | ||
def snoise2(x, y): | ||
"""Generate 2D simplex noise for given coordinates.""" | ||
s = (x + y) * F2 | ||
i = np.floor(x + s).astype(int) | ||
j = np.floor(y + s).astype(int) | ||
t = (i + j) * G2 | ||
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x0 = x - (i - t) | ||
y0 = y - (j - t) | ||
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# Determine which simplex we're in | ||
i1 = (x0 > y0).astype(int) | ||
j1 = 1 - i1 | ||
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x1 = x0 - i1 + G2 | ||
y1 = y0 - j1 + G2 | ||
x2 = x0 - 1 + 2 * G2 | ||
y2 = y0 - 1 + 2 * G2 | ||
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# Hash coordinates of the three simplex corners | ||
ii = i & 255 | ||
jj = j & 255 | ||
gi0 = PERM[ii + PERM[jj]] % 12 | ||
gi1 = PERM[ii + i1 + PERM[jj + j1]] % 12 | ||
gi2 = PERM[ii + 1 + PERM[jj + 1]] % 12 | ||
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# Calculate contribution from three corners | ||
t0 = 0.5 - x0**2 - y0**2 | ||
t1 = 0.5 - x1**2 - y1**2 | ||
t2 = 0.5 - x2**2 - y2**2 | ||
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mask0 = (t0 >= 0).astype(float) | ||
mask1 = (t1 >= 0).astype(float) | ||
mask2 = (t2 >= 0).astype(float) | ||
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n0 = mask0 * t0**4 * (GRAD3[gi0, 0] * x0 + GRAD3[gi0, 1] * y0) | ||
n1 = mask1 * t1**4 * (GRAD3[gi1, 0] * x1 + GRAD3[gi1, 1] * y1) | ||
n2 = mask2 * t2**4 * (GRAD3[gi2, 0] * x2 + GRAD3[gi2, 1] * y2) | ||
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# Sum up and scale the result | ||
return 70 * (n0 + n1 + n2) |
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__version__ = '2.1.1' | ||
__version__ = '2.1.2' |
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@@ -38,7 +38,6 @@ | |
'scipy==1.10.0', | ||
'pytest==7.3.0', | ||
'pytest-benchmark==3.4.1', | ||
'vec-noise==1.1.4', | ||
'imageio>=2.27', | ||
'ordered-set==4.1.0', | ||
'pettingzoo==1.24.1', | ||
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@@ -52,7 +51,7 @@ | |
ext_modules = cythonize(["nmmo/lib/cython_helper.pyx"]), | ||
include_dirs=[np.get_include()], | ||
extras_require=extra, | ||
python_requires=">=3.7", | ||
python_requires=">=3.7,<3.11", | ||
license="MIT", | ||
author="Joseph Suarez", | ||
author_email="[email protected]", | ||
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