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    Mersenne Twister pseudo-random number generator

    This object contains state to deterministically generate pseudo-random
    numbers from a variety of probability distributions.  It is identical to
    ``np.random.RandomState`` except that all functions also take a ``chunks=``
    keyword argument.

    Parameters
    ----------
    seed: Number
        Object to pass to RandomState to serve as deterministic seed
    RandomState: Callable[seed] -> RandomState
        A callable that, when provided with a ``seed`` keyword provides an
        object that operates identically to ``np.random.RandomState`` (the
        default).  This might also be a function that returns a
        ``randomgen.RandomState``, ``mkl_random``, or
        ``cupy.random.RandomState`` object.

    Examples
    --------
    >>> import dask.array as da
    >>> state = da.random.RandomState(1234)  # a seed
    >>> x = state.normal(10, 0.1, size=3, chunks=(2,))
    >>> x.compute()
    array([10.01867852, 10.04812289,  9.89649746])

    See Also
    --------
    np.random.RandomState
    c         C` s"   t  j j | ƒ |  _ | |  _ d  S(   N(   t   npt   randomR   t   _numpy_statet   _RandomState(   t   selft   seedR   (    (    s0   lib/python2.7/site-packages/dask/array/random.pyt   __init__9   s    c         C` s   |  j  j | ƒ d  S(   N(   R   R   (   R   R   (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR   =   s    c   &   	   O` sº  | j  d d ƒ } | j  d d ƒ } | j  d d ƒ } | d k	 rd t | t t f ƒ rd | f } n  d „  | Dƒ } | j d „  | j ƒ  Dƒ ƒ t | ƒ } | d k	 r¹ | | g 7} n  t | Œ  } t | | d | j	 d t
 j ƒ ƒ} t | ƒ }	 d „  }
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 j t f ƒ r |
 | | | ƒ } t | t ƒ r›| j | ƒ | j | j ƒ | j | | <n> t | t
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 j t f ƒ rø|
 | | | ƒ } t | t ƒ r–| j | ƒ | j | j ƒ | j | | <n> t | t
 j ƒ rÔd	 j t | ƒ ƒ } | | | <| | | <n  | t d „  | j Dƒ ƒ | | <q$| | | <q$Wd | d <t t
 j j ƒ  | ƒ } | | | Ž  j } t t | Œ  ƒ } t t | ƒ |  j ƒ } t | | | | | ƒ } d j | | ƒ } t | g g  | D] } t t | ƒ ƒ ^ qžd g g t | ƒ Œ } t g  | D] } t t | ƒ ƒ ^ qÝŒ  } g  } xet  | | |	 | ƒ D]N\ } } }  }! g  }" x‡ t | ƒ D]y \ } } | | k rg|" j | ƒ q?t | t ƒ rž| j | ƒ |" j | | f |! ƒ q?|" j t! | | |  f ƒ q?Wi  }# x~ | j ƒ  D]p \ }$ } |$ | k rô| |# |$ <qÏt | t ƒ r(| j | ƒ | |$ f |! |# |$ <qÏt! | |$ |  f |# |$ <qÏW| j t" |  j# | | | |" |# f ƒ qW| j$ t% t  | | ƒ ƒ ƒ t& j' | | d | ƒ}% t |% | | | d | ƒS(   s˜    Wrap numpy random function to produce dask.array random function

        extra_chunks should be a chunks tuple to append to the end of chunks
        t   sizet   chunkst   autot   extra_chunksc         S` s1   h  |  ]' } t  | t t j f ƒ r | j ’ q S(    (   t
   isinstanceR   R   t   ndarrayt   shape(   t   .0t   ar(    (    s0   lib/python2.7/site-packages/dask/array/random.pys	   <setcomp>L   s   	 c         S` s1   h  |  ]' } t  | t t j f ƒ r | j ’ q S(    (   R#   R   R   R$   R%   (   R&   R'   (    (    s0   lib/python2.7/site-packages/dask/array/random.pys	   <setcomp>N   s   	 t   dtypec         S` sT   t  |  t ƒ r% t |  | ƒ j | ƒ St  |  t j ƒ rP t j t j |  | ƒ ƒ Sd  S(   N(   R#   R   R   t   rechunkR   R$   t   ascontiguousarray(   R'   R%   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyt   _broadcast_anyZ   s    s   array-{}c         s` s   |  ] } d  Vq d S(   i    N(    (   R&   R   (    (    s0   lib/python2.7/site-packages/dask/array/random.pys	   <genexpr>r   s    c         s` s   |  ] } d  Vq d S(   i    N(    (   R&   R   (    (    s0   lib/python2.7/site-packages/dask/array/random.pys	   <genexpr>‚   s    i    s   {0}-{1}t   dependenciesN(    (   i    ((   t   popR   R#   t   tuplet   listt   uniont   valuesR
   R   t   getR   t   float64R   t	   enumerateR$   R   t   appendt   daskt   namet   formatR   R%   t   itemst   getattrR   R   R(   R   R   t   lenR   t   ranget   zipR   t   _apply_randomR   t   updatet   dictR   t   from_collections(&   R   t   funcnamet   argst   kwargsR   R    R"   t   args_shapest   shapest   slicesR+   t   dskt   dskst   lookupt
   small_argsR,   t   iR'   t   resR7   t   small_kwargst   keyR   R(   t   sizest   seedst   tokent   bdt   keyst   blockst   valsR   t   slct   blockt   argt   kwrgt   kt   graph(    (    s0   lib/python2.7/site-packages/dask/array/random.pyt   _wrap@   s     "	
'
$
++()R!   c         C` s   |  j  d | | d | d | ƒS(   Nt   betaR   R    (   R]   (   R   t   at   bR   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR^   ³   s    c         C` s   |  j  d | | d | d | ƒS(   Nt   binomialR   R    (   R]   (   R   t   nt   pR   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyRa   ·   s    c         C` s   |  j  d | d | d | ƒS(   Nt	   chisquareR   R    (   R]   (   R   t   dfR   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyRd   »   s    c         ` sþ  g  } t  ˆ  t ƒ r~ ˆ d  k	 r3 t j d g ƒ n ˆ } t j j d d d d | ƒj } ˆ  }	 ˆ  d k  ræ t d ƒ ‚ qæ nh t	 ˆ  ƒ j
 ˆ  j ƒ ‰  ˆ  j } ˆ  j d k r½ t d ƒ ‚ n  t ˆ  ƒ }	 | j ˆ  ƒ ˆ  j ƒ  d ‰  ˆ d  k	 rÃt  ˆ t ƒ sRt j	 ˆ ƒ ‰ t j ˆ j ƒ  d d d d	 d ƒsCt d
 ƒ ‚ n  t	 ˆ ƒ ‰ n ˆ j
 ˆ j ƒ ‰ ˆ j d k r‚t d ƒ ‚ n  t ˆ ƒ |	 k r£t d ƒ ‚ n  | j ˆ ƒ ˆ j ƒ  d ‰ n  | d  k rØd } n! t  | t t f ƒ sù| f } n  t | | d t j ƒ} ˆ rCt | d ƒ d k rCd }
 t |
 ƒ ‚ n  t t | Œ  ƒ } t t | ƒ |  j ƒ } d t | | | ˆ  ˆ ˆ ƒ } t | g d „  | Dƒ Œ } ‡  ‡ ‡ f d †  t | | | ƒ Dƒ } t j | | d | ƒ} t | | | d | ƒS(   Ni   R   Rc   i    s   a must be greater than 0s   a must be one dimensionalt   rtolgH¯¼šò×z>t   atols   probabilities do not sum to 1s   p must be one dimensionals   a and p must have the same sizeR(   s]   replace=False is not currently supported for dask.array.choice with multi-chunk output arrayss   da.random.choice-%sc         s` s!   |  ] } t  t | ƒ ƒ Vq d  S(   N(   R<   R;   (   R&   RS   (    (    s0   lib/python2.7/site-packages/dask/array/random.pys	   <genexpr>ù   s    c         ` s4   i  |  ]* \ } } } t  | ˆ  | ˆ ˆ f | “ q S(    (   t   _choice(   R&   R[   t   stateR   (   R_   Rc   t   replace(    s0   lib/python2.7/site-packages/dask/array/random.pys
   <dictcomp>ú   s   	R,   (    (    (   R#   R   R   R   t   arrayR   t   choiceR(   t
   ValueErrorR	   R)   R%   t   ndimR;   R5   t   __dask_keys__R   t   iscloset   sumR.   R/   R   R3   t   NotImplementedErrorR   R   R   R   R=   R   RA   (   R   R_   R   Rj   Rc   R    R,   t   dummy_pR(   t   len_at   err_msgRP   t
   state_dataR7   RT   RH   R\   (    (   R_   Rc   Rj   s0   lib/python2.7/site-packages/dask/array/random.pyRl   À   sX    $!	$	Ng      ð?c         C` s   |  j  d | d | d | ƒS(   Nt   exponentialR   R    (   R]   (   R   t   scaleR   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyRw     s    c         C` s   |  j  d | | d | d | ƒS(   Nt   fR   R    (   R]   (   R   t   dfnumt   dfdenR   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyRy     s    c         C` s   |  j  d | | d | d | ƒS(   Nt   gammaR   R    (   R]   (   R   R%   Rx   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR|     s    c         C` s   |  j  d | d | d | ƒS(   Nt	   geometricR   R    (   R]   (   R   Rc   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR}     s    g        c         C` s   |  j  d | | d | d | ƒS(   Nt   gumbelR   R    (   R]   (   R   t   locRx   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR~     s    c      	   C` s"   |  j  d | | | d | d | ƒS(   Nt   hypergeometricR   R    (   R]   (   R   t   ngoodt   nbadt   nsampleR   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR€     s    c         C` s   |  j  d | | d | d | ƒS(   Nt   laplaceR   R    (   R]   (   R   R   Rx   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR„     s    c         C` s   |  j  d | | d | d | ƒS(   Nt   logisticR   R    (   R]   (   R   R   Rx   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR…      s    c         C` s   |  j  d | | d | d | ƒS(   Nt	   lognormalR   R    (   R]   (   R   t   meant   sigmaR   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR†   $  s    c         C` s   |  j  d | d | d | ƒS(   Nt	   logseriesR   R    (   R]   (   R   Rc   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR‰   (  s    c         C` s1   |  j  d | | d | d | d t | ƒ f f ƒS(   Nt   multinomialR   R    R"   (   R]   R;   (   R   Rb   t   pvalsR   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyRŠ   ,  s    c         C` s   |  j  d | | d | d | ƒS(   Nt   negative_binomialR   R    (   R]   (   R   Rb   Rc   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyRŒ   1  s    c         C` s   |  j  d | | d | d | ƒS(   Nt   noncentral_chisquareR   R    (   R]   (   R   Re   t   noncR   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR   5  s    c      	   C` s"   |  j  d | | | d | d | ƒS(   Nt   noncentral_fR   R    (   R]   (   R   Rz   R{   RŽ   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR   9  s    c         C` s   |  j  d | | d | d | ƒS(   Nt   normalR   R    (   R]   (   R   R   Rx   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR   =  s    c         C` s   |  j  d | d | d | ƒS(   Nt   paretoR   R    (   R]   (   R   R_   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR‘   A  s    c         C` s   |  j  d | d | d | ƒS(   Nt   poissonR   R    (   R]   (   R   t   lamR   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR’   E  s    c         C` s   |  j  d | d | d | ƒS(   Nt   powerR   R    (   R]   (   R   R_   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR”   I  s    t   lc      
   C` s%   |  j  d | | d | d | d | ƒS(   Nt   randintR   R    R(   (   R]   (   R   t   lowt   highR   R    R(   (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR–   M  s    c         C` s   |  j  d | | d | d | ƒS(   Nt   random_integersR   R    (   R]   (   R   R—   R˜   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR™   Q  s    c         C` s   |  j  d d | d | ƒS(   Nt   random_sampleR   R    (   R]   (   R   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyRš   U  s    c         C` s   |  j  d | d | d | ƒS(   Nt   rayleighR   R    (   R]   (   R   Rx   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR›   [  s    c         C` s   |  j  d d | d | ƒS(   Nt   standard_cauchyR   R    (   R]   (   R   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyRœ   _  s    c         C` s   |  j  d d | d | ƒS(   Nt   standard_exponentialR   R    (   R]   (   R   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR   c  s    c         C` s   |  j  d | d | d | ƒS(   Nt   standard_gammaR   R    (   R]   (   R   R%   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyRž   g  s    c         C` s   |  j  d d | d | ƒS(   Nt   standard_normalR   R    (   R]   (   R   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyRŸ   k  s    c         C` s   |  j  d | d | d | ƒS(   Nt
   standard_tR   R    (   R]   (   R   Re   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR    o  s    c         C` s   |  j  d d | d | ƒS(   Nt   tomaxintR   R    (   R]   (   R   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR¡   s  s    c      	   C` s"   |  j  d | | | d | d | ƒS(   Nt
   triangularR   R    (   R]   (   R   t   leftt   modet   rightR   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR¢   w  s    c         C` s   |  j  d | | d | d | ƒS(   Nt   uniformR   R    (   R]   (   R   R—   R˜   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR¦   {  s    c         C` s   |  j  d | | d | d | ƒS(   Nt   vonmisesR   R    (   R]   (   R   t   mut   kappaR   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR§     s    c         C` s   |  j  d | | d | d | ƒS(   Nt   waldR   R    (   R]   (   R   R‡   Rx   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyRª   ƒ  s    c         C` s   |  j  d | d | d | ƒS(   Nt   weibullR   R    (   R]   (   R   R_   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR«   ‡  s    c         C` s   |  j  d | d | d | ƒS(   Nt   zipfR   R    (   R]   (   R   R_   R   R    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR¬   ‹  s    (4   t   __name__t
   __module__R   R   R   R   R]   R   R   R   R   R^   Ra   Rd   R   t   AttributeErrorRl   t   TrueRw   Ry   R|   R}   R~   R€   R„   R…   R†   R‰   RŠ   RŒ   R   R   R   R‘   R’   R”   R–   R™   Rš   R›   Rœ   R   Rž   RŸ   R    R¡   R¢   R¦   R§   Rª   R«   R¬   (    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR      s¤   	sBc         C` s1   t  j j |  ƒ } | j | d | d | d | ƒS(   NR   Rj   Rc   (   R   R   R   Rl   (   Rv   R_   R   Rj   Rc   Ri   (    (    s0   lib/python2.7/site-packages/dask/array/random.pyRh     s    c         C` sI   |  d k r t j j }  n  |  | ƒ } t | | ƒ } | d | | | Ž S(   s"   Apply RandomState method with seedR   N(   R   R   R   R   R:   (   R   RB   Rv   R   RC   RD   Ri   R   (    (    s0   lib/python2.7/site-packages/dask/array/random.pyR>   •  s
    Rl   (I   t
   __future__R    R   R   t	   itertoolsR   t   numbersR   t   operatorR   t   numpyR   t   coreR   R   R   R	   R
   R   t   baseR   t   highlevelgraphR   t   utilsR   R   R   R   t   objectR   Rh   R>   t   _stateR   R^   Ra   Rd   t   hasattrRl   Rw   Ry   R|   R}   R~   R€   R„   R…   R†   R‰   RŠ   RŒ   R   R   R   R‘   R’   R”   R›   Rš   R   R–   R™   R¢   R¦   R§   Rª   R«   R¬   Rœ   R   Rž   RŸ   R    (    (    (    s0   lib/python2.7/site-packages/dask/array/random.pyt   <module>   sl   .		ÿ x																																								