39 lines
665 B
Python
39 lines
665 B
Python
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import random, sys
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def normal_distribution(mean, standev):
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def f():
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total = sum([random.choice([1, -1]) for i in range(529)])
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return int(total * (standev / 23.0) + mean)
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return f
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def exponential_distribution(mean):
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def f():
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total = 0
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while 1:
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total += 1
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if not random.randrange(500):
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break
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return int(total * 0.002 * mean)
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return f
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def convolve(*args):
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def f():
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total = 0
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for arg in args:
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total += arg()
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return total
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return f
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def transform(dist, xformer):
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def f():
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return xformer(dist())
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return f
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