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bytes
-----
uniform bytes (values between 0 and 255)
integers
--------
uniform within range
sequences
---------
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
discrete distributions
----------------------
binomial
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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ddZd Zd&dZd'dZd'dZ d Z d(d Z d Z d Z d Z!d! Z"d" Z#d)d#Z$ xZ%S )*r a Random number generator base class used by bound module functions.
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methods: random(), seed(), getstate(), and setstate().
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can cover arbitrarily large ranges.
Nc 4 | j | d| _ y)zeInitialize an instance.
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For version 2 (the default), all of the bits are used if *a* is a str,
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r; zlatin-1r iCB l r: NzOThe only supported seed types are: None,
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selection in the sample.
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counts parameter. For example:
sample(['red', 'blue'], counts=[4, 2], k=5)
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sample(['red', 'red', 'red', 'red', 'blue', 'blue'], k=5)
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