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integers
--------
uniform within range
sequences
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pick random element
pick random sample
pick weighted random sample
generate random permutation
distributions on the real line:
------------------------------
uniform
triangular
normal (Gaussian)
lognormal
negative exponential
gamma
beta
pareto
Weibull
distributions on the circle (angles 0 to 2pi)
---------------------------------------------
circular uniform
von Mises
General notes on the underlying Mersenne Twister core generator:
* The period is 2**19937-1.
* It is one of the most extensively tested generators in existence.
* The random() method is implemented in C, executes in a single Python step,
and is, therefore, threadsafe.
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Nc C s | | d| _dS )zeInitialize an instance.
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zRandom.triangularc C sP | j }| }d| }t|d | }|| d }|t| krqDq||| S )z\Normal distribution.
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)_expr )r4 r r r6 r6 r7 r s zRandom.lognormvariatec C s t d| | S )a^ Exponential distribution.
lambd is 1.0 divided by the desired mean. It should be
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infinity to 0 if lambd is negative.
r. )r r )r4 lambdr6 r6 r7 r s zRandom.expovariatec C s | j }|dkrt| S d| }|td|| }| }tt| }||| }| } | d|| k s| d| t| kr4qq4d| }
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