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WichmannHill 1
In Brief  The WichmannHill algorithm is a three seed pseudorandom number generator. The algorithm generates numbers between 0.0 and 1.0 with a cycle of . According to [Bevington] the algorithm is free of correlations and is a good generator for most purposes.... more 
Implementation Difficulty 
1 function get_random(seed_1, seed_2, seed_3):
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3 seed_1 = 171 * (seed_1 % 177)  2*(seed_1 / 177)
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5 if seed_1 < 0: seed_1 += 30269
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7 seed_2 = 172 * (seed_2 % 176)  35*(seed_2 / 176)
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9 if seed_2 < 0: seed_2 += 30307
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11 seed_3 = 170 * (seed_3 % 178)  63*(seed_3 / 178)
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13 if seed_2 < 0: seed_2 += 30323
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15 temp = seed_1 / 30269 + seed_2/30307 + seed_3/30323
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17 return temp  int(temp)
The WichmannHill algorithm is a three seed pseudorandom number generator. The algorithm generates numbers between 0.0 and 1.0 with a cycle of . According to [Bevington] the algorithm is free of correlations and is a good generator for most purposes.
[Bevington] 
Philip Bevington, Data Reduction and Error Analysis for the Physical Sciences, McGrawHill Science/Engineering/Math

Implementations
A simple (unoptimized) implementation of the WichmannHill pseudorandom number generator. The prng requires three seeds.
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