Merged revisions 68378 via svnmerge from
svn+ssh://pythondev@svn.python.org/python/trunk ........ r68378 | mark.dickinson | 2009-01-07 17:48:33 +0000 (Wed, 07 Jan 2009) | 2 lines Issue #4869: clarify documentation for random.expovariate. ........
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@ -169,9 +169,11 @@ be found in any statistics text.
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.. function:: expovariate(lambd)
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.. function:: expovariate(lambd)
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Exponential distribution. *lambd* is 1.0 divided by the desired mean. (The
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Exponential distribution. *lambd* is 1.0 divided by the desired
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parameter would be called "lambda", but that is a reserved word in Python.)
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mean. It should be nonzero. (The parameter would be called
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Returned values range from 0 to positive infinity.
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"lambda", but that is a reserved word in Python.) Returned values
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range from 0 to positive infinity if *lambd* is positive, and from
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negative infinity to 0 if *lambd* is negative.
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.. function:: gammavariate(alpha, beta)
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.. function:: gammavariate(alpha, beta)
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@ -396,9 +396,11 @@ class Random(_random.Random):
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def expovariate(self, lambd):
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def expovariate(self, lambd):
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"""Exponential distribution.
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"""Exponential distribution.
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lambd is 1.0 divided by the desired mean. (The parameter would be
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lambd is 1.0 divided by the desired mean. It should be
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called "lambda", but that is a reserved word in Python.) Returned
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nonzero. (The parameter would be called "lambda", but that is
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values range from 0 to positive infinity.
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a reserved word in Python.) Returned values range from 0 to
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positive infinity if lambd is positive, and from negative
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infinity to 0 if lambd is negative.
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"""
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"""
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# lambd: rate lambd = 1/mean
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# lambd: rate lambd = 1/mean
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