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    integers
    --------
           uniform within range

    sequences
    ---------
           pick random element
           pick 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.
* Without a direct way to compute N steps forward, the semantics of
  jumpahead(n) are weakened to simply jump to another distant state and rely
  on the large period to avoid overlapping sequences.
* The random() method is implemented in C, executes in a single Python step,
  and is, therefore, threadsafe.

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    method to ensure that the generated sequences seen by each thread don't
    overlap.

    Class Random can also be subclassed if you want to use a different basic
    generator of your own devising: in that case, override the following
    methods: random(), seed(), getstate(), setstate() and jumpahead().
    Optionally, implement a getrandbits() method so that randrange() can cover
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cC s|t|j�t|��S(s2Choose a random element from a non-empty sequence.(R>Rtlen(R*tseq((s/usr/lib64/python2.7/random.pyRscC s||dkr|j}nt}xWttdt|���D]:}||�|d�}||||||<||<q:WdS(s�x, random=random.random -> shuffle list x in place; return None.

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        samples.  This allows raffle winners (the sample) to be partitioned
        into grand prize and second place winners (the subslices).

        Members of the population need not be hashable or unique.  If the
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        selection in the sample.

        To choose a sample in a range of integers, use xrange as an argument.
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	cC s�|j}|j}d|_|dkrw|�t}tdtd|���}t|�|}t|�||_n|||S(s�Gaussian distribution.

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