U
    ,df                     @   s  d dl Z d dlZd dlZd dlZd dlZd dlZd dlZd dlZd dlZd dl	Z	d dl
Zd dlZd dlmZmZ d dlmZ d dlmZ d dlmZmZmZ d dlmZ dZdd	 Zd
d Zdd Zdd Zdd Zdd Z dd Z!dd Z"dd Z#dd Z$dd Z%dd Z&d d! Z'd"d# Z(d$d% Z)d&d' Z*d(d) Z+d*d+ Z,d,d- Z-d.d/ Z.d0d1 Z/d2d3 Z0d4d5 Z1d6d7 Z2e1d8Z3e/d9Z4e0d:Z5e1d;Z6e/d<Z7e0d=Z8d>d? Z9d@dA Z:dBdC Z;dDdE Z<dFdG Z=G dHdI dIeZ>G dJdK dKe>Z?G dLdM dMe>Z@G dNdO dOe>ZAG dPdQ dQe>ZBG dRdS dSe>ZCG dTdU dUe>ZDG dVdW dWe>ZEedXdXdYdZd[ ZFd\ZGedXdXdYd]d^ ZHG d_d` d`eZIG dadb dbeIZJeKejLdckddG dedf dfeIZMeNdgkreO  dS )h    N)jit
_helperlib)types)compile_isolated)TestCasecompile_functiontag)TypingErrorp  c                   C   s   t  S N)r   Zrnd_get_py_state_ptr r   r   ;/tmp/pip-unpacked-wheel-eu7e0c37/numba/tests/test_random.pyget_py_state_ptr   s    r   c                   C   s   t  S r   )r   Zrnd_get_np_state_ptrr   r   r   r   get_np_state_ptr   s    r   c                 C   s   t j| S r   nprandomrandintar   r   r   numpy_randint1!   s    r   c                 C   s   t j| |S r   r   r   br   r   r   numpy_randint2$   s    r   c                 C   s   t | |S r   )r   r   r   r   r   r   random_randint'   s    r   c                 C   s
   t | S r   r   	randranger   r   r   r   random_randrange1*   s    r   c                 C   s   t | |S r   r   r   r   r   r   random_randrange2-   s    r   c                 C   s   t | ||S r   r   )r   r   cr   r   r   random_randrange30   s    r    c                 C   s   t j| S r   r   r   choicer   r   r   r   numpy_choice13   s    r#   c                 C   s   t jj| |dS Nsizer!   )r   r&   r   r   r   numpy_choice26   s    r'   c                 C   s   t jj| ||dS )N)r&   replacer!   )r   r&   r(   r   r   r   numpy_choice39   s    r)   c                 C   s   t j| |S r   r   r   Zmultinomial)npvalsr   r   r   numpy_multinomial2<   s    r-   c                 C   s   t jj| ||dS )N)r,   r&   r*   )r+   r,   r&   r   r   r   numpy_multinomial3?   s    r.   c                 C   s   t jj| |dS r$   r   r   Z	dirichlet)alphar&   r   r   r   numpy_dirichletB   s    r1   c                 C   s   t j| S r   r/   )r0   r   r   r   numpy_dirichlet_defaultE   s    r2   c                 C   s   t jj| ||dS r$   r   r   Znoncentral_chisquare)dfnoncr&   r   r   r   numpy_noncentral_chisquareH   s    r6   c                 C   s   t j| |S r   r3   )r4   r5   r   r   r   "numpy_noncentral_chisquare_defaultK   s    r7   c                 C   s>   t j|  t j||f}t j|  t j||}||fS r   )r   r   seedZrandr8   r   r   expectedgotr   r   r   numpy_check_randN   s
    r<   c                 C   s>   t j|  t j||f}t j|  t j||}||fS r   )r   r   r8   standard_normalZrandnr9   r   r   r   numpy_check_randnU   s
    r>   c                 C   s&   dt   }td|t }tdd|S )Nz@def func(%(argstring)s):
        return %(name)s(%(argstring)s)
funcTnopython)localsr   globalsr   )name	argstringcodepyfuncr   r   r   jit_with_args\   s
    rH   c                 C   s
   t | dS )N rH   rD   r   r   r   jit_nullaryc   s    rL   c                 C   s
   t | dS )Nr   rJ   rK   r   r   r   	jit_unaryf   s    rM   c                 C   s
   t | dS )Nza, brJ   rK   r   r   r   
jit_binaryi   s    rN   c                 C   s
   t | dS )Nza, b, crJ   rK   r   r   r   jit_ternaryl   s    rO   random.gausszrandom.randomzrandom.seednp.random.normalznp.random.randomznp.random.seedc                 C   s>   |   d }|dd |d  }}t||t|f ||fS )z?
    Copy state of Python random *r* to Numba state *ptr*.
       N)getstater   rnd_set_statelist)rptrmtintsindexr   r   r   _copy_py_statey   s    r\   c                 C   s6   |   dd \}}t||dd |D f ||fS )z>
    Copy state of Numpy random *r* to Numba state *ptr*.
    rR      c                 S   s   g | ]}t |qS r   )int.0xr   r   r   
<listcomp>   s     z"_copy_np_state.<locals>.<listcomp>)	get_stater   rU   )rW   rX   rZ   r[   r   r   r   _copy_np_state   s    rd   c                 C   st   |   \}}}|d }|d d }t|dks2tdtj|dd|f}|d krX|d7 }n|d|f7 }tj| d S )NrS   r
   ZMT19937uint32dtype)r           rR   )rT   lenAssertionErrorr   arrayr   Z	set_state)rW   _verZmt_stZ_gauss_nextZmt_posZmt_intsZnp_str   r   r   sync_to_numpy   s    
rm   c                 C   s   d|  |d d S )N       @      ?)gammavariate)rW   r4   r   r   r   py_chisquare   s    rq   c                 C   s   t | || t | ||  S r   )rq   )rW   numZdenomr   r   r   py_f   s    rs   c                   @   s    e Zd ZdddZdddZdS )	BaseTest   c                 C   s   t |}t|| |S r   )r   Randomr\   selfrX   r8   rW   r   r   r   _follow_cpython   s    

zBaseTest._follow_cpythonc                 C   s   t j|}t|| |S r   )r   r   RandomStaterd   rw   r   r   r   _follow_numpy   s    
zBaseTest._follow_numpyN)ru   )ru   )__name__
__module____qualname__ry   r{   r   r   r   r   rt      s   
rt   c                   @   sP   e Zd ZdZdd Zdd Zdd Zdd	 Zd
d Zdd Z	dd Z
dd ZdS )TestInternalsz9
    Test low-level internals of the implementation.
    c                 C   s   t |}|\}}| |t | |t | t|t |d t }dd ttD }t 	|||f | t |||f d S )Ni c                 S   s   g | ]}|d  qS )r]   r   r`   ir   r   r   rb      s     z6TestInternals._check_get_set_state.<locals>.<listcomp>)
r   rnd_get_stateassertIsInstancer^   rV   assertEqualri   NrangerU   )rx   rX   stater   rZ   jr   r   r   _check_get_set_state   s    
z"TestInternals._check_get_set_statec                 C   s~   t  }t||\}}t|td dD ]}|   q&t| | d }|d d |d  }}| t	|d t
| d S )NrR   ru   rS   )r   rv   r\   r   r   r   Zrnd_shufflerT   r   r   rV   )rx   rX   rW   rZ   r[   r   rY   r   r   r   _check_shuffle   s    

zTestInternals._check_shufflec                 C   sr   t j }dD ]^}|t | | }t|d }|d }|tksJtt	
|| | t	|||f qd S )N)r   rR   }   l    rR   ru   )r   r   rz   r8   re   rc   rV   r   rj   r   rnd_seedr   r   )rx   rX   rW   r   strZ   r[   r   r   r   _check_init   s    
zTestInternals._check_initc                 C   sd   g }t dD ]:}t|d t|td |tt|d  q| t	t
|t	| d S )N
   r   i   rR   )r   r   r   osurandomappendtupler   r   ri   set)rx   rX   Zstatesr   r   r   r   _check_perturb   s    zTestInternals._check_perturbc                 C   s   |  t  d S r   )r   r   rx   r   r   r   test_get_set_state   s    z TestInternals.test_get_set_statec                 C   s   |  t  d S r   )r   r   r   r   r   r   test_shuffle   s    zTestInternals.test_shufflec                 C   s   |  t  d S r   )r   r   r   r   r   r   	test_init   s    zTestInternals.test_initc                 C   s   |  t  d S r   )r   r   r   r   r   r   test_perturb   s    zTestInternals.test_perturbN)r|   r}   r~   __doc__r   r   r   r   r   r   r   r   r   r   r   r   r      s   r   c                   @   sh  e Zd Zdd Zdd Zdd Zdd Zd	d
 Zdd Zdd Z	dd Z
dddZdd Zdd Zdd Zdd Zdd  Zd!d" Zd#d$ Zd%d& Zd'd( Zdd)d*Zd+d, Zd-d. Zd/d0 Zd1d2 Zd3d4 Zd5d6 Zd7d8 Zd9d: Zd;d< Zd=d> Zd?d@ Z dAdB Z!dCdD Z"dEdF Z#dGdH Z$dIdJ Z%dKdL Z&dMdN Z'dOdP Z(dQdR Z)dSdT Z*dUdV Z+dWdX Z,dYdZ Z-d[d\ Z.d]d^ Z/d_d` Z0dadb Z1dcdd Z2dedf Z3dgdh Z4didj Z5dkdl Z6dmdn Z7dodp Z8dqdr Z9dsdt Z:dudv Z;dwdx Z<dydz Z=d{d| Z>d}d~ Z?dd Z@dd ZAdd ZBdd ZCdd ZDdd ZEdd ZFdd ZGdd ZHdd ZIdd ZJdd ZKdd ZLdd ZMdS )
TestRandomc              	   C   sX   t j }dD ]D}|t | || ttd D ]}| | |dd q6qdS )z<
        Check seed()- and random()-like functions.
        r   rR   r   l    r   rh   ro   N)	r   r   rz   r8   re   r   r   assertPreciseEqualuniform)rx   seedfunc
randomfuncrW   r   r   r   r   r   _check_random_seed   s    
zTestRandom._check_random_seedc                 C   s   |  tt d S r   )r   random_seedrandom_randomr   r   r   r   test_random_random	  s    zTestRandom.test_random_randomc                 C   sP   |  tt |  ttd |  ttd |  ttd |  ttd d S Nznp.random.random_sampleznp.random.ranfznp.random.sampleznp.random.rand)r   
numpy_seednumpy_randomrL   r   r   r   r   test_numpy_random  s
    zTestRandom.test_numpy_randomc              
   C   sX   t j }dD ]D}|t | || tdD ]}| |||dd| q2qd S )Nr   r   rh   ro   )r   r   rz   r8   re   r   r   r   )rx   r   r   rW   r   r+   r   r   r   _check_random_sized  s    
zTestRandom._check_random_sizedc                 C   sD   |  ttd |  ttd |  ttd |  ttd d S r   )r   r   rM   r   r   r   r   test_numpy_random_sized  s    z"TestRandom.test_numpy_random_sizedc                 C   s   d}t d dd t|D }td dd t|D }t d td dd t|D }| dd |D | | d	d |D | d S )
Nr   rR   c                 S   s   g | ]
}t  qS r   )r   r   r   r   r   rb   (  s     z:TestRandom.test_independent_generators.<locals>.<listcomp>ru   c                 S   s   g | ]
}t  qS r   )r   r   r   r   r   rb   *  s     c                 S   s   g | ]}t  t fqS r   )r   r   r   r   r   r   rb   -  s     c                 S   s   g | ]}|d  qS )r   r   r`   pr   r   r   rb   .  s     c                 S   s   g | ]}|d  qS )rR   r   r   r   r   r   rb   /  s     )r   r   r   r   )rx   r   Z
py_numbersZ
np_numberspairsr   r   r   test_independent_generators$  s    z&TestRandom.test_independent_generatorsc                 C   sf   |  |}tddD ]"}||}||}| || q| t|d | t|d | t|d dS )z6
        Check a getrandbits()-like function.
        rR   A   i rS   N)ry   r   getrandbitsr   assertRaisesOverflowError)rx   r?   rX   rW   nbitsr:   r;   r   r   r   _check_getrandbits1  s    

zTestRandom._check_getrandbitsc                 C   s   |  tdt  d S )Nzrandom.getrandbits)r   rM   r   r   r   r   r   test_random_getrandbits?  s    z"TestRandom.test_random_getrandbitsr]   double   Nc           
         sf   t |st|D ]P  fddt|D } fddt|D }	| j||	||d f d qd S )Nc                    s   g | ]}  qS r   r   r   )argsr?   r   r   rb   K  s     z*TestRandom._check_dist.<locals>.<listcomp>c                    s&   g | ]}r d in  qS rf   r   r   )r   pydtyperG   r   r   rb   L  s   zfor arguments %s)preculpsmsg)ri   rj   r   r   )
rx   r?   rG   Zargslistnitersr   r   r   resultsZ	pyresultsr   )r   r?   r   rG   r   _check_distG  s    zTestRandom._check_distc                 C   sl   |  |}|dk	r4| j||jdddgtd d d |dk	rN| ||jdg |dk	rh| ||jd	g dS )
z0
        Check a gauss()-like function.
        Nro   ro   rn         ?g       r   ru   r   r   r   r   )r{   r   normalr   rx   func2func1func0rX   rW   r   r   r   _check_gaussQ  s    


zTestRandom._check_gaussc                 C   s   |  tdd d t  d S )NrP   r   rN   r   r   r   r   r   test_random_gauss`  s    zTestRandom.test_random_gaussc                 C   s   |  tdd d t  d S )Nzrandom.normalvariater   r   r   r   r   test_random_normalvariatec  s    z$TestRandom.test_random_normalvariatec                 C   s"   |  tdtdtdt  d S )NrQ   )r   rN   rM   rL   r   r   r   r   r   test_numpy_normali  s
    
zTestRandom.test_numpy_normalc                 C   s   |  d d tdt  d S )Nznp.random.standard_normalr   rL   r   r   r   r   r   test_numpy_standard_normalo  s    z%TestRandom.test_numpy_standard_normalc                 C   s   |  d d tdt  d S )Nznp.random.randnr   r   r   r   r   test_numpy_randns  s    zTestRandom.test_numpy_randnc                 C   sl   |  |}|dk	r4| j||jdddgtd d d |dk	rN| ||jdg |dk	rh| ||jd	g dS )
z9
        Check a lognormvariate()-like function.
        Nr   r   r   ru   r   r   r   r   )r{   r   	lognormalr   r   r   r   r   _check_lognormvariatew  s    


z TestRandom._check_lognormvariatec                 C   s   |  tdd d t  d S )Nzrandom.lognormvariate)r   rN   r   r   r   r   r   test_random_lognormvariate  s
    
  z%TestRandom.test_random_lognormvariatec                 C   s"   |  tdtdtdt  d S )Nznp.random.lognormal)r   rN   rM   rL   r   r   r   r   r   test_numpy_lognormal  s
    
zTestRandom.test_numpy_lognormalc                    s  g }t dD ]<}	||d ||dd |dk	r||ddd q|r\| |j}
n| |j}
 fdddD }|r|nd}|D ]}| j||
|fgd|d	 | j||
d
d| fgd|d	 |dk	r| |d
d| d|
d
d| d | |d| dd|
d| dd q| t	|d | t	|d | t	|dd | t	|dd |dk	r| t	|ddd | t	|ddd dS )z4
        Check a randrange()-like function.
        r    e   Nr]   c                    s   g | ]}| k r|qS r   r   )r`   w	max_widthr   r   rb     s      z/TestRandom._check_randrange.<locals>.<listcomp>)rR   r        l                    )r   r   ru      r      rS   rR   )
r   r   r{   r   ry   r   r   r   r   
ValueError)rx   r   r   func3rX   r   is_numpytprZ   r   rrZwidthsr   widthr   r   r   _check_randrange  s@    
zTestRandom._check_randrangec              	   C   sh   t jdft jdffD ]N\}}tt|f}tt||f}tt|||f}| |j|j|jt	 |d qd S )N                    F)
r   int64int32r   r   r   r    r   entry_pointr   )rx   r   r   cr1cr2Zcr3r   r   r   test_random_randrange  s      z TestRandom.test_random_randrangec              
   C   sb   t jtjdft jtjdffD ]@\}}}tt|f}tt||f}| |j|jd t	 |d| qd S )Nr   r   T)
r   r   r   r   r   r   r   r   r   r   )rx   r   Znp_tpr   r   r   r   r   r   test_numpy_randint  s        zTestRandom.test_numpy_randintc                 C   s   g }t dD ]}||dd q| t|tt|| | |}dD ](}|d |kr\qJ| j||j|gdd qJ| t	|dd | t	|dd d	S )
z2
        Check a randint()-like function.
        r   r   r   )rR   r   )   r   )   r   rR   r      ru   N)
r   r   r   ri   r   ry   r   r   r   r   )rx   r?   rX   r   rZ   r   rW   r   r   r   r   _check_randint  s    
zTestRandom._check_randintc                 C   sB   t jdft jdffD ](\}}tt||f}| |jt | qd S )Nr   r   )r   r   r   r   r   r   r   r   )rx   r   r   Zcrr   r   r   test_random_randint  s    zTestRandom.test_random_randintc                 C   s$   |  |}| ||jdddg dS )z2
        Check a uniform()-like function.
        )      ?g    .A)           @@)r   r   N)ry   r   r   rx   r?   rX   rW   r   r   r   _check_uniform  s    

zTestRandom._check_uniformc                 C   s   |  tdt  d S )Nzrandom.uniform)r   rN   r   r   r   r   r   test_random_uniform  s    zTestRandom.test_random_uniformc                 C   s   |  tdt  d S )Nznp.random.uniform)r   rN   r   r   r   r   r   test_numpy_uniform  s    zTestRandom.test_numpy_uniformc                 C   s>   |  |}|dk	r(| ||jdddg | ||jdg dS )z5
        Check a triangular()-like function.
        Nr         @)r   r   )r   r   )r   r  g@)ry   r   
triangular)rx   r   r   rX   rW   r   r   r   _check_triangular  s    

zTestRandom._check_triangularc                 C   s   |  tdtdt  d S )Nzrandom.triangular)r  rN   rO   r   r   r   r   r   test_random_triangular  s    
z!TestRandom.test_random_triangularc                    s(   t d  fdd}| d |t  d S )Nznp.random.triangularc                    s    | ||S r   r   )lrW   mr  r   r   <lambda>      z2TestRandom.test_numpy_triangular.<locals>.<lambda>)rO   r  r   )rx   Zfixed_triangularr   r	  r   test_numpy_triangular  s    z TestRandom.test_numpy_triangularc                 C   s   |  |}|dk	r(| ||jdddg |dk	rH| |d|dd |dk	r| t|dd | t|dd | t|dd | t|dd |dk	r| t|d | t|d dS )	z7
        Check a gammavariate()-like function.
        Nr         @)ro   r   r  r   ro   rh         )ry   r   rp   r   r   r   )rx   r   r   rX   rW   r   r   r   _check_gammavariate  s    

zTestRandom._check_gammavariatec                 C   s   |  tdd t  d S )Nzrandom.gammavariate)r  rN   r   r   r   r   r   test_random_gammavariate  s    z#TestRandom.test_random_gammavariatec                 C   s0   |  tdtdt  |  d tdt  d S )Nznp.random.gammaznp.random.standard_gamma)r  rN   rM   r   r   r   r   r   test_numpy_gamma  s    
zTestRandom.test_numpy_gammac                 C   s`   |  |}| ||jdg | t|dd | t|dd | t|dd | t|dd dS )z6
        Check a betavariate()-like function.
        r  rh   ro   r  N)ry   r   betavariater   r   r   r   r   r   _check_betavariate"  s    
zTestRandom._check_betavariatec                 C   s   |  tdt  d S )Nzrandom.betavariate)r  rN   r   r   r   r   r   test_random_betavariate/  s    z"TestRandom.test_random_betavariatec                 C   s   |  tdt  d S )Nznp.random.beta)r  rN   r   r   r   r   r   test_numpy_beta2  s    zTestRandom.test_numpy_betac                 C   s    |  |}| ||jdg dS )z:
        Check a vonmisesvariate()-like function.
        r  N)ry   r   vonmisesvariater   r   r   r   _check_vonmisesvariate5  s    
z!TestRandom._check_vonmisesvariatec                 C   s   |  tdt  d S )Nzrandom.vonmisesvariate)r  rN   r   r   r   r   r   test_random_vonmisesvariate<  s    
z&TestRandom.test_random_vonmisesvariatec                 C   s   |  tdt  d S )Nznp.random.vonmises)r  rN   r   r   r   r   r   test_numpy_vonmises@  s    
zTestRandom.test_numpy_vonmisesc                 C   sD   |  |}dD ]0}tdD ]"}| j|||d| dd qqdS )z
        Check a expovariate()-like function.  Note the second argument
        is inversed compared to np.random.exponential().
        )g?r   r   r]   rR   r   )r   N)r{   r   r   exponential)rx   r?   rX   rW   lambdr   r   r   r   _check_expovariateD  s    
zTestRandom._check_expovariatec                 C   s   |  tdt  d S )Nzrandom.expovariate)r  rM   r   r   r   r   r   test_random_expovariateO  s    z"TestRandom.test_random_expovariatec                 C   sF   |  |}|dk	r(| ||jdddg |dk	rB| ||jdg dS )z6
        Check a exponential()-like function.
        Nr   ro   r   r   )r{   r   r  )rx   r   r   rX   rW   r   r   r   _check_exponentialR  s
    
zTestRandom._check_exponentialc                 C   s   |  tdtdt  d S )Nznp.random.exponential)r!  rM   rL   r   r   r   r   r   test_numpy_exponential\  s    
z!TestRandom.test_numpy_exponentialc                 C   s   |  d tdt  d S )Nznp.random.standard_exponential)r!  rL   r   r   r   r   r   test_numpy_standard_exponentiala  s    z*TestRandom.test_numpy_standard_exponentialc                 C   s"   |  |}| ||jddg dS )z8
        Check a paretovariate()-like function.
        r   )r  N)ry   r   paretovariater   r   r   r   _check_paretovariatef  s    
zTestRandom._check_paretovariatec                 C   s   |  tdt  d S )Nzrandom.paretovariate)r%  rM   r   r   r   r   r   test_random_paretovariaten  s    z$TestRandom.test_random_paretovariatec                    s&   t d  fdd}| |t  d S )Nznp.random.paretoc                    s    | d S )Nro   r   r   Zparetor   r   r
  s  r  z.TestRandom.test_numpy_pareto.<locals>.<lambda>)rM   r%  r   )rx   Zfixed_paretor   r'  r   test_numpy_paretoq  s    zTestRandom.test_numpy_paretoc                 C   sV   |  |}|dk	r$| ||jdg |dk	rRtdD ]}| |d|dd q4dS )z9
        Check a weibullvariate()-like function.
        Nr  r]   r  ro   )ry   r   weibullvariater   r   )rx   r   r   rX   rW   r   r   r   r   _check_weibullvariatev  s    


z TestRandom._check_weibullvariatec                 C   s   |  tdd t  d S )Nzrandom.weibullvariate)r*  rN   r   r   r   r   r   test_random_weibullvariate  s    
 z%TestRandom.test_random_weibullvariatec                 C   s   |  d tdt  d S )Nznp.random.weibull)r*  rM   r   r   r   r   r   test_numpy_weibull  s    zTestRandom.test_numpy_weibullc              	   C   s  t d}| t d}| ||jdg dD ]}| ||dd | ||d| dD ]}|||}|dkr~|| }d	| }| |d | || || }d
| t	| }| ||| |||f | ||| |||f qXq,| 
t|dd | 
t|dd | 
t|dd d S )Nznp.random.binomialr   )   g      ?)d     '  rh   ro   )	g-C6?皙?皙?g9?r   g㈵ ?皙??H.?r   rR   r]   rS   r   皙皙?)rN   r{   r   r   binomialr   assertGreaterEqualassertLessEqualmathsqrtr   r   )rx   r8  rW   r+   r   r:   tolr   r   r   test_numpy_binomial  s(    
zTestRandom.test_numpy_binomialc                 C   s2   t d}| t }| |tt|ddg d S )Nznp.random.chisquarer   r  )rM   ry   r   r   	functoolspartialrq   )rx   Z	chisquarerW   r   r   r   test_numpy_chisquare  s    
zTestRandom.test_numpy_chisquarec                 C   s2   t d}| t }| |tt|ddg d S )Nznp.random.f)r   r   )r   r3  )rN   ry   r   r   r@  rA  rs   )rx   frW   r   r   r   test_numpy_f  s
    zTestRandom.test_numpy_fc                    s0  t d | t d | t d | t d d} fddt|D }| |dg|   fd	dt|D }|d}| ||d
  | || | dd |D   fddt|D }| 	dd |D   fddt|D }| 	dd |D   fddt|D }| 	dd |D  d S )Nznp.random.geometricg      rh   gjt?   c                    s   g | ]} d qS r  r   r   Zgeomr   r   rb     s     z3TestRandom.test_numpy_geometric.<locals>.<listcomp>rR   c                    s   g | ]} d qS r4  r   r   rF  r   r   rb     s     ru   c                 S   s   g | ]}|d kr|qS )r/  r   r   r   r   r   rb     s      c                    s   g | ]} d qS )r2  r   r   rF  r   r   rb     s     c                 S   s   g | ]}|d kr|qS )r   r   r   r   r   r   rb     s      c                    s   g | ]} d qS )g{Gz?r   r   rF  r   r   rb     s     c                 S   s   g | ]}|d kr|qS )2   r   r   r   r   r   rb     s      c                    s   g | ]} d qS )gV瞯<r   r   rF  r   r   rb     s     c                 S   s   g | ]}|d kr|qS )        r   r   r   r   r   rb     s      )
rM   r   r   r   r   countr9  
assertLessZassertFalse
assertTrue)rx   r   rW   r+   r   rF  r   test_numpy_geometric  s$    
zTestRandom.test_numpy_geometricc                 C   s,   t d}| t }| ||jddg d S )Nznp.random.gumbelrh   ro         r  )rN   r{   r   r   gumbel)rx   rQ  rW   r   r   r   test_numpy_gumbel  s    zTestRandom.test_numpy_gumbelc                    s  t d | t }| j |jddgdd  fddtdD }| td	d
 |D | | t	
|d | t	
|d  fddtdD }| tdd
 |D | | t	
|d  fddtdD }| tdd
 |D | | t	
|d d S )Nznp.random.hypergeometric)r/  r   r   )r   r/  r      r   c                    s   g | ]} d d dqS )r/  r.  r   r   hgr   r   rb     s     z8TestRandom.test_numpy_hypergeometric.<locals>.<listcomp>r.  c                 s   s   | ]}|d ko|dkV  qdS r   r.  Nr   r_   r   r   r   	<genexpr>  s     z7TestRandom.test_numpy_hypergeometric.<locals>.<genexpr>g      D@g      N@c                    s   g | ]} d ddqS )r/  順 r.  r   r   rT  r   r   rb     s     c                 s   s   | ]}|d ko|dkV  qdS rV  r   r_   r   r   r   rW    s           $@c                    s   g | ]} d ddqS )rX  r/  r.  r   r   rT  r   r   rb     s     c                 s   s   | ]}|d ko|dkV  qdS rV  r   r_   r   r   r   rW    s     g     V@)rO   r{   r   r   Zhypergeometricr   rL  allr9  r   meanr:  rx   rW   r   rT  r   test_numpy_hypergeometric  s     
z$TestRandom.test_numpy_hypergeometricc                 C   sV   |  t }| td|jddg | td|jddg | td|jdg d S )Nznp.random.laplacerN  rO  rh   rP  r   )r{   r   r   rN   laplacerM   rL   r\  r   r   r   test_numpy_laplace  s    zTestRandom.test_numpy_laplacec                 C   sV   |  t }| td|jddg | td|jddg | td|jdg d S )Nznp.random.logisticrN  rO  r^  r_  r   )r{   r   r   rN   logisticrM   rL   r\  r   r   r   test_numpy_logistic  s    zTestRandom.test_numpy_logisticc                    s   |  t }td | j |jdddgdd | j t dd}|  fd	d
tdD ddddddddddg
 | t d | t d | t d d S )Nznp.random.logseriesr1  )gGz?)r5  rH  r   rR   r8   c                    s   g | ]} d qS )g{?r   r   	logseriesr   r   rb     s     z3TestRandom.test_numpy_logseries.<locals>.<listcomp>r   ivxi- rS  i  in i)l   &ci܀oirH i  rh   r6  r7  )	r{   r   rM   r   rg  r   r   r   r   r\  r   rf  r   test_numpy_logseries  s$    
   zTestRandom.test_numpy_logseriesc                 C   sD   |  t }td}| j||jdddddgdd | t|d	 d S )
Nznp.random.poissonr^  r   )rn   )rY  )g     $@rH  r   r6  )r{   r   rM   r   poissonr   r   )rx   rW   ri  r   r   r   test_numpy_poisson  s    
zTestRandom.test_numpy_poissonc                    s$  |  t d td |  fddtdD dddd	ddddddg
 |  fd
dtdD ddddddddddg
 |  fddtdD ddddddddddg
 t fddtdD }| |d | |d  | 	t
 dd! | 	t
 d"d! | 	t
 dd# | 	t
 dd$ d S )%Nr   znp.random.negative_binomialc                    s   g | ]} d dqS )r   r4  r   r   Znegbinr   r   rb     s     z;TestRandom.test_numpy_negative_binomial.<locals>.<listcomp>r   ru   r]   rR   r   c                    s   g | ]} d dqS )r   r1  r   r   rk  r   r   rb     s     7   G   8   9   "   e   C   c                    s   g | ]} d dqS )r/  r1  r   r   rk  r   r   rb     s     i#  i!  iy#  iL$  i"  i#  i#  iF"  i"  i#  c                    s   g | ]} d dqS )i ʚ;r1  r   r   rk  r   r   rb     s   rH  g   | Bg   $s Br   rS   r6  r7  )r{   r   rN   r   r   r   r[  ZassertGreaterrK  r   r   )rx   r  r   rk  r   test_numpy_negative_binomial  s4    
    z'TestRandom.test_numpy_negative_binomialc                 C   sL   |  t }td}| ||jddddg | t|d | t|d d S )Nznp.random.powerrd  r   rG  )g      @rh   r6  )r{   r   rM   r   powerr   r   )rx   rW   rt  r   r   r   test_numpy_power  s    

zTestRandom.test_numpy_powerc                 C   sf   |  t }td}td}| ||jddddg | ||jdg | t|d | t|d d S )	Nznp.random.rayleighrd  r3  )g      9@)r   r   rh   r6  )r{   r   rM   rL   r   rayleighr   r   )rx   rW   Z	rayleigh1Z	rayleigh0r   r   r   test_numpy_rayleigh#  s    

zTestRandom.test_numpy_rayleighc                 C   s*   |  t }td}| ||jdg d S )Nznp.random.standard_cauchyr   )r{   r   rL   r   standard_cauchy)rx   rW   Zcauchyr   r   r   test_numpy_standard_cauchy-  s    z%TestRandom.test_numpy_standard_cauchyc                    sD   |  t }td t fddtdD }| t|d d S )Nznp.random.standard_tc                    s   g | ]} d qS )r   r   r   Z
standard_tr   r   rb   8  s     z4TestRandom.test_numpy_standard_t.<locals>.<listcomp>r   r   )ry   r   rM   r   r[  r   rK  abs)rx   rW   avgr   r{  r   test_numpy_standard_t2  s    z TestRandom.test_numpy_standard_tc                 C   sl   |  t }td}| ||jddg | t|dd | t|dd | t|dd | t|dd d S )Nznp.random.waldr   )rn   g      @rh   ro   r6  )r{   r   rN   r   waldr   r   )rx   rW   r  r   r   r   test_numpy_wald<  s    zTestRandom.test_numpy_waldc                 C   sH   |  t }td}| j||jddgdd dD ]}| t|| q0d S )Nznp.random.zipfr   r?  r.  r   )ro   r   rh   r6  )r{   r   rM   r   zipfr   r   )rx   rW   r  valr   r   r   test_numpy_zipfE  s
    zTestRandom.test_numpy_zipfc              	   C   s   t dt ddg}|r*| |}n
| |}|D ]R}tdD ]D}| }| }	|| |srt|jdkrD|	|	 | 
||	 qDq8|d }| }
|t|
 | t|t|
 | t|t|
 |   |td W 5 Q R X dS )	z=
        Check a shuffle()-like function for arrays.
        r       )r   r   r]   rR   r   s   xyzN)r   arangereshaper{   ry   r   copyri   shapeshuffler   
memoryviewassertNotEqualrV   r   sortedZassertTypingError)rx   r?   rX   r   arrsrW   r   r   r;   r:   r   r   r   r   r   L  s&    


zTestRandom._check_shufflec                 C   s   |  tdt d d S )Nzrandom.shuffleF)r   rM   r   r   r   r   r   test_random_shuffleg  s    zTestRandom.test_random_shufflec                 C   s   |  tdt d d S )Nznp.random.shuffleT)r   rM   r   r   r   r   r   test_numpy_shufflej  s    zTestRandom.test_numpy_shufflec           	      C   s   dt   }t }tdD ]^}tjtjd|gtjtjd}| \}}|j	dkrdt
d|j	| f |t|  q| t|d| dS )zI
        Check that the state is properly randomized at startup.
        zif 1:
            from numba.tests import test_random
            func = getattr(test_random, %(func_name)r)
            print(func(*%(func_args)r))
            r]   z-c)stdoutstderrr   z/process failed with code %s: stderr follows
%s
N)rB   r   r   
subprocessPopensys
executablePIPEcommunicate
returncoderj   decodeaddfloatstripr   ri   )	rx   	func_name	func_argsrF   Znumbersr   popenouterrr   r   r   _check_startup_randomnessm  s      
z$TestRandom._check_startup_randomnessc                 C   s   |  dd d S )Nr   r   r  r   r   r   r   test_random_random_startup  s    z%TestRandom.test_random_random_startupc                 C   s   |  dd d S )Nrandom_gaussr   r  r   r   r   r   test_random_gauss_startup  s    z$TestRandom.test_random_gauss_startupc                 C   s   |  dd d S )Nr   r   r  r   r   r   r   test_numpy_random_startup  s    z$TestRandom.test_numpy_random_startupc                 C   s   |  dd d S )Nnumpy_normalr   r  r   r   r   r   test_numpy_gauss_startup  s    z#TestRandom.test_numpy_gauss_startupc                 C   s   t d}| t }dD ]N}t|}| }| |||| | |||| | || qtdddtddddtdddddg}|D ].}| }| |||| | || qd S )	Nznp.random.permutation)r   r      r   r   ru   r      r]   $   )	rM   r{   r   r   r  r  r   Zpermutationr  )rx   r?   rW   sr   r   r  r   r   r   test_numpy_random_permutation  s     
z(TestRandom.test_numpy_random_permutation)r]   r   r   N)N)Nr|   r}   r~   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r  r  r  r  r  r  r  r  r  r  r  r  r  r  r  r!  r"  r#  r%  r&  r(  r*  r+  r,  r>  rB  rD  rM  rR  r]  ra  rc  rh  rj  rs  ru  rx  rz  r~  r  r  r   r  r  r  r  r  r  r  r  r   r   r   r   r      s   
      


$		
	

	r   c                   @   s   e Zd ZdZdd Zdd Zdd Zdd	 Zd
d Zdd Z	dd Z
dd Zdd Zdd Zdd Zdd Zdd Zdd Zdd Zd d! Zd"d# Zd$d% Zd&d' Zd(d) Zd*d+ Zd,d- Zd.d/ Zd0S )1TestRandomArrayszA
    Test array-producing variants of np.random.* functions.
    c                 C   s&   d|f }d dd | }t||S )Nznp.random.%sz, Zabcd)joinrH   )rx   funcnamenargsqualnamerE   r   r   r   _compile_array_dist  s    
z$TestRandomArrays._compile_array_distc           
      C   s   |  |t|d }| t }t||}dD ]\}||f }|| }|| }	|jtdkrx|	jtdkrx||	j}| j||	ddd q.dS )	zM
        Check returning an array according to a given distribution.
        rR   )r   ru   r]   r   r   r   r   )r   r   N)	r  ri   r{   r   getattrrg   r   astyper   )
rx   r  Zscalar_argscfuncrW   rG   r&   r   r:   r;   r   r   r   _check_array_dist  s    

z"TestRandomArrays._check_array_distc                 C   s   |  dd}d\}}d}||||}| |tj | |j| | |jtdtdf | t	||k | t	||k  || d }|| d }| 
| ||  | | ||  d S )	Nr   r]   )r/  r0  rS  rS  r   r   ru   r   )r  r   r   ndarrayr   r  assertInrg   rL  rZ  r9  r[  r:  )rx   r  lowhighr&   resr[  r=  r   r   r   r     s    z#TestRandomArrays.test_numpy_randintc                 C   s   |  dd}d}||}| |tj | |j| | |jtd | t|dk | t|dk  | t	|dk | t	|dk |
 }| |d	 | |d
 d S )Nr   rR   r  float64rh   ro   r1  r4  g?g?)r  r   r   r  r   r  rg   rL  rZ  anyr[  r9  r:  )rx   r  r&   r  r[  r   r   r   test_numpy_random_random  s    z)TestRandomArrays.test_numpy_random_randomc                 C   s   |  dd d S )Nr8  )r   r   r  r   r   r   r   r>    s    z$TestRandomArrays.test_numpy_binomialc                 C   s   |  dd d S )Nr  r   r  r   r   r   r   r"    s    z'TestRandomArrays.test_numpy_exponentialc                 C   s   |  dd d S )NrQ  r   r   r  r   r   r   r   rR    s    z"TestRandomArrays.test_numpy_gumbelc                 C   s   |  dd d S )Nr`  r  r  r   r   r   r   ra    s    z#TestRandomArrays.test_numpy_laplacec                 C   s   |  dd d S )Nrb  r  r  r   r   r   r   rc    s    z$TestRandomArrays.test_numpy_logisticc                 C   s   |  dd d S )Nr   )r   rn   r  r   r   r   r   r     s    z%TestRandomArrays.test_numpy_lognormalc                 C   s   |  dd d S )Nrg  rv  r  r   r   r   r   rh    s    z%TestRandomArrays.test_numpy_logseriesc                 C   s   |  dd d S )Nr   )r   rn   r  r   r   r   r   r     s    z"TestRandomArrays.test_numpy_normalc                 C   s   |  dd d S )Nri  rv  r  r   r   r   r   rj    s    z#TestRandomArrays.test_numpy_poissonc                 C   s   |  dd d S )Nrt  rv  r  r   r   r   r   ru    s    z!TestRandomArrays.test_numpy_powerc                 C   s<   t ddt}|ddd\}}| |jd | || d S NTr@   *   ru   r]   r  )r   r<   r   r  r   rx   r  r:   r;   r   r   r   test_numpy_rand   s    z TestRandomArrays.test_numpy_randc                 C   s<   t ddt}|ddd\}}| |jd | || d S r  )r   r>   r   r  r   r  r   r   r   r     s    z!TestRandomArrays.test_numpy_randnc                 C   s   |  dd d S )Nrw  rv  r  r   r   r   r   rx    s    z$TestRandomArrays.test_numpy_rayleighc                 C   s   |  dd d S )Nry  r   r  r   r   r   r   rz    s    z+TestRandomArrays.test_numpy_standard_cauchyc                 C   s   |  dd d S )NZstandard_exponentialr   r  r   r   r   r   r#    s    z0TestRandomArrays.test_numpy_standard_exponentialc                 C   s   |  dd d S )Nr=   r   r  r   r   r   r   r     s    z+TestRandomArrays.test_numpy_standard_normalc                 C   s   |  dd d S )Nr   r1  r2  r  r   r   r   r   r    s    z#TestRandomArrays.test_numpy_uniformc                 C   s   |  dd d S )Nr  r  r  r   r   r   r   r    s    z TestRandomArrays.test_numpy_waldc                 C   s   |  dd d S )Nr  r?  r  r   r   r   r   r    s    z TestRandomArrays.test_numpy_zipfN)r|   r}   r~   r   r  r  r   r  r>  r"  rR  ra  rc  r   rh  r   rj  ru  r  r   rx  rz  r#  r   r  r  r  r   r   r   r   r    s0   r  c                   @   s   e Zd ZdZd ddZdd Zdd Zd	d
 Zdd Zdd Z	d!ddZ
dd Zdd Zdd Zdd Zdd Zdd Zdd ZdS )"TestRandomChoicez 
    Test np.random.choice.
    Tc                 C   sf   t |}t |}| || | t|t| |rL| t|t|| n| t|t|| dS )zD
        Check basic expectations about a batch of samples.
        N)r   r:  r  r  rV   rK  ri   r   )rx   popr  r(   Zspopsresr   r   r   _check_results'  s    zTestRandomChoice._check_resultsc                 C   sh   |  t|t|d  t|t| }t|}|D ],}|| }|  ||d  | ||d  q6dS )5
        Check distribution of some samples.
        r.  r   rn   N)r9  ri   collectionsCounterr:  )rx   r  ZsamplesZexpected_frequencyr   valuer+   r   r   r   r   8  s    
zTestRandomChoice._check_distc                 C   s.   g }t ||k r"|t| j7 }q|d| S )zk
        Accumulate array results produced by *func* until they reach
        *nresults* elements.
        N)ri   rV   flat)rx   r?   Znresultsr  r   r   r   _accumulate_array_resultsF  s    z*TestRandomChoice._accumulate_array_resultsc                    sf   t ddtt|} fddt|D }| ||  fddt|d D }| || dS )z.
        Check choice(a) against pop.
        Tr@   c                    s   g | ]} qS r   r   r   r   r  r   r   rb   V  s     z4TestRandomChoice._check_choice_1.<locals>.<listcomp>c                    s   g | ]} qS r   r   r   r  r   r   rb   X  s     r.  N)r   r#   ri   r   r  r   )rx   r   r  r+   r  distr   r  r   _check_choice_1P  s    z TestRandomChoice._check_choice_1c                 C   s    d}t t|}| || dS )z"
        Test choice(int)
        rH  N)rV   r   r  rx   r+   r  r   r   r   test_choice_scalar_1[  s    z%TestRandomChoice.test_choice_scalar_1c                 C   s"   t dd d }| || dS )z$
        Test choice(array)
        rH  ru   r.  N)r   r  r  rx   r  r   r   r   test_choice_array_1c  s    z$TestRandomChoice.test_choice_array_1c                 C   sB   t |}t| j}| ||| | ||d }| || dS )zP
        Check array results produced by *func* and their distribution.
        r.  N)ri   rV   r  r  r  r   )rx   r?   r  r(   r+   r  r  r   r   r   _check_array_resultsj  s
    z%TestRandomChoice._check_array_resultsc                    s   t ddtt|}|d d|d d f|d g}|D ]H }ttrTnf}| |j| |  fdd| q8dS )	z4
        Check choice(a, size) against pop.
        Tr@   r   r]   rR   c                      s
    S r   r   r   r   r  r&   r   r   r
    r  z2TestRandomChoice._check_choice_2.<locals>.<lambda>N)r   r'   ri   
isinstancer   r   r  r  )rx   r   r  r+   sizesr  expected_shaper   r  r   _check_choice_2t  s    
z TestRandomChoice._check_choice_2c                 C   s   d}t |}| || dS )z(
        Test choice(int, size)
        rH  Nr   r  r  r  r   r   r   test_choice_scalar_2  s    
z%TestRandomChoice.test_choice_scalar_2c                 C   s"   t dd d }| || dS )z*
        Test choice(array, size)
        rH  ru   r.  Nr  r  r   r   r   test_choice_array_2  s    z$TestRandomChoice.test_choice_array_2c           	   
      s  t ddtt|}|d d|d d fg}ddg}|D ]<dD ]2} |}ttr`nf}| |j| qBq:|D ]|  fdd	| q||D ]|  fd
d	|d q|d d|d d ffD ]&| t	  d W 5 Q R X qdS )z=
        Check choice(a, size, replace) against pop.
        Tr@   r   r]   rR   F)TFc                      s    dS )NTr   r   r  r   r   r
    r  z2TestRandomChoice._check_choice_3.<locals>.<lambda>c                      s    dS )NFr   r   r  r   r   r
    r  N)
r   r)   ri   r  r   r   r  r  r   r   )	rx   r   r  r+   r  Zreplacesr(   r  r  r   r  r   _check_choice_3  s     z TestRandomChoice._check_choice_3c                 C   s   d}t |}| || dS )z1
        Test choice(int, size, replace)
        rH  Nr   r  r  r  r   r   r   test_choice_scalar_3  s    
z%TestRandomChoice.test_choice_scalar_3c                 C   s"   t dd d }| || dS )z3
        Test choice(array, size, replace)
        rH  ru   r.  Nr  r  r   r   r   test_choice_array_3  s    z$TestRandomChoice.test_choice_array_3c                 C   s~   t dddd }tjjdddtj}| }|d|}| }|d|}tj	|| tj	|| tj	|| d S )	NTr@   c                 S   sD   t jd t | dft j}t| D ]}t j|dd||< q&|S )Ni9  ru   F)r   r   r8   emptyr   r   r"   )Zn_to_returnchoice_arrayr  r   r   r   r   numba_rands  s
    z>TestRandomChoice.test_choice_follows_seed.<locals>.numba_randsi,  r/  r%   r   )
r   r   r   r   r  r   r  Zpy_functestingassert_allclose)rx   r  r  Ztmp_npr:   Ztmp_nbr;   r   r   r   test_choice_follows_seed  s    

z)TestRandomChoice.test_choice_follows_seedN)T)T)r|   r}   r~   r   r  r   r  r  r  r  r  r  r  r  r  r  r  r  r   r   r   r   r  "  s   



r  c                   @   sX   e Zd ZdZejddddddgejdZee  Zdd Z	dd	 Z
d
d Zdd ZdS )TestRandomMultinomialz%
    Test np.random.multinomial.
    rR   ru   r]   rf   c                 C   s   |  |tj | |jt|f | |jtdtdf | | | t	||D ]L\}}| 
|d | || t|| }| 
||d  | ||d  qZdS )r  r   r   r   r   rn   N)r   r   r  r   r  ri   r  rg   sumzipr9  r:  r  )rx   r+   r,   sampler   ZnexpZpexpr   r   r   _check_sample  s    z#TestRandomMultinomial._check_samplec                 C   s   t ddt}d| j }}|||}| ||| t|}|||}| ||| d}tjdd|d dgtjd}||  }|||}| ||| d	S )
z,
        Test multinomial(n, pvals)
        Tr@   r/  i@B rR   r   r.  rf   N)	r   r-   r,   r  rV   r   rk   r  r  )rx   r  r+   r,   r  r   r   r   test_multinomial_2  s    


z(TestRandomMultinomial.test_multinomial_2c                 C   sX   t ddt}d| j }}d}||||}| |jd | |D ]}| ||| q@dS )z7
        Test multinomial(n, pvals, size: int)
        Tr@   r/  r   r   N)r   r.   r,   r   r  r  rx   r  r+   r,   kr  r  r   r   r   test_multinomial_3_int  s    z,TestRandomMultinomial.test_multinomial_3_intc                 C   sl   t ddt}d| j }}d}||||}| |jdd | |d|jd fD ]}| ||| qTdS )z9
        Test multinomial(n, pvals, size: tuple)
        Tr@   r/  )r]   r   NrS   )r   r.   r,   r   r  r  r  r  r   r   r   test_multinomial_3_tuple  s    z.TestRandomMultinomial.test_multinomial_3_tupleN)r|   r}   r~   r   r   rk   r  r,   r  r  r  r  r  r   r   r   r   r    s   r  c                   @   sD   e Zd ZejddddgejdZdd Zdd Zdd	 Z	d
d Z
dS )TestRandomDirichletrR   ru   rf   c                 C   s   |  |tj | |jtj |dkr:| |jt| n<t|t	kr^| |j
|t|f n| |j
|t|f  t|D ]}| |d | |d q|dkr| j| ddd n(t|jddD ]}| j|ddd qdS )zCheck output structureNr   rR   r   )ZplacesrS   )Zaxis)r   r   r  r   rg   r  r&   ri   typer^   r  nditerr9  r:  ZassertAlmostEqualr  )rx   r0   r&   r  r  Ztotalsr   r   r   r    s    z!TestRandomDirichlet._check_samplec                 C   sn   t ddt}| jt| jtjddddgtjdtjddddgtjdf}|D ]}||}| |d| qNdS )2
        Test dirichlet(alpha, size=None)
        Tr@   rR   r0  rf   r   N)r   r2   r0   r   r   rk   r  r  )rx   r  alphasr0   r  r   r   r   test_dirichlet_default5  s    z*TestRandomDirichlet.test_dirichlet_defaultc                 C   s   t ddt}d}| jt| jtjddddgtjdtjddddgtjdf}t||D ] \}}|||}| 	||| qZdS )	r  Tr@   )Nr   r   r   rR   r0  rf   r   N)
r   r1   r0   r   r   rk   r  	itertoolsproductr  )rx   r  r  r  r0   r&   r  r   r   r   test_dirichletD  s    
z"TestRandomDirichlet.test_dirichletc              
   C   s   t ddt}td}| t}||d W 5 Q R X | dt|j | j}ddddd	d
t	
dt	dff}|D ]6}| t}||| W 5 Q R X | dt|j qtd S )NTr@   )r   rR   rR   rR   zdirichlet: alpha must be > 0.0              @r   r   rR   r  rR   r  r  r]   r   zGnp.random.dirichlet(): size should be int or tuple of ints or None, got)r   r1   r   r   r   r  str	exceptionr0   r   int8r   r	   )rx   r  r0   raisesr  r&   r   r   r   test_dirichlet_exceptionsU  s    "z-TestRandomDirichlet.test_dirichlet_exceptionsN)r|   r}   r~   r   rk   r  r0   r  r  r  r  r   r   r   r   r    s
   r  c                   @   s,   e Zd Zdd Zdd Zdd Zdd Zd	S )
TestRandomNoncentralChiSquarec                 C   s~   |d k	rR|  |tj | |jtj t|trB| |j|f q^| |j| n|  |t	 t
|D ]}| |d qhd S Nr   )r   r   r  r   rg   r  r  r^   r  r  r  r9  )rx   r&   r  r  r   r   r   r  i  s    
z+TestRandomNoncentralChiSquare._check_samplec                 C   sV   t ddt}d}|D ]:\}}|||}| d| ||tj}| t| qdS )z@
        Test noncentral_chisquare(df, nonc, size=None)
        Tr@   )r   rR   r   )r   rR   )rX  rR   )rR   r0  N)r   r7   r  r   nanrL  isnan)rx   r  inputsr4   r5   r  r   r   r   !test_noncentral_chisquare_default{  s    
z?TestRandomNoncentralChiSquare.test_noncentral_chisquare_defaultc                 C   sn   t ddt}d}d}t||D ]F\\}}}||||}| || ||tj|}| t|	  q"dS )z;
        Test noncentral_chisquare(df, nonc, size)
        Tr@   )Nr   r  r  r  N)
r   r6   r   r  r  r   r  rL  r  rZ  )rx   r  r  r  r4   r5   r&   r  r   r   r   test_noncentral_chisquare  s    z7TestRandomNoncentralChiSquare.test_noncentral_chisquarec              
   C   s   t ddt}d\}}| t}|||d W 5 Q R X | dt|j d\}}| t}|||d W 5 Q R X | dt|j d\}}dd	d
dddtdt	dff}|D ]8}| t
}|||| W 5 Q R X | dt|j qd S )NTr@   )r   rR   rR   zdf <= 0)rR   rS   znonc < 0)rR   rR   r  r   r  r  r  r]   r   zRnp.random.noncentral_chisquare(): size should be int or tuple of ints or None, got)r   r6   r   r   r  r  r  r   r	  r   r	   )rx   r  r4   r5   r
  r  r&   r   r   r   $test_noncentral_chisquare_exceptions  s$    "zBTestRandomNoncentralChiSquare.test_noncentral_chisquare_exceptionsN)r|   r}   r~   r  r  r  r  r   r   r   r   r  g  s   r  T)rA   Znogilc                 C   s4   | dkrt |  t|jD ]}t d||< qd S )Nr   r  )r   r8   r   r&   r   )r8   r  r   r   r   r   py_extract_randomness  s    
r  rI  c                 C   s<   | dkrt j|  d}t|jD ]}t jt||< q"d S r  )r   r   r8   r   r&   r   _randint_limit)r8   r  r  r   r   r   r   np_extract_randomness  s
    r  c                   @   s0   e Zd ZdZdd Zdd Zdd Zdd	 Zd
S )ConcurrencyBaseTestrX  c                 C   s"   d|  df}t|  t|  d S )Nr  rR   )_get_outputr  r  )rx   r   r   r   r   setUp  s    zConcurrencyBaseTest.setUpc                 C   s   t j|t jdS )Nrf   )r   zerosre   )rx   r&   r   r   r   r    s    zConcurrencyBaseTest._get_outputc                 C   sF   d}dt d }d}t jj| ||d t jj| ||d dS )z9
        Check statistical properties of output.
        r   rI  r   g?)rtolN)r   r<  r  r  r[  Zstd)rx   r  Zexpected_avgZexpected_stdr  r   r   r   check_output  s
    z ConcurrencyBaseTest.check_outputc                 C   s   |D ]}|  | q|rd}nt|}dd |D }dd |D }dd |D }| t||| | t||| | t||| d S )NrR   c                 S   s   h | ]}t |d d qS )Nr   r   r`   r  r   r   r   	<setcomp>  s     z<ConcurrencyBaseTest.check_several_outputs.<locals>.<setcomp>c                 S   s   h | ]}t |d d qS )r   Nr  r  r   r   r   r     s     c                 S   s   h | ]}|  qS r   )r  r  r   r   r   r     s     )r  ri   r   )rx   r   same_expectedr  Zexpected_distinctZheadstailsZsumsr   r   r   check_several_outputs  s    z)ConcurrencyBaseTest.check_several_outputsN)r|   r}   r~   _extract_iterationsr  r  r  r#  r   r   r   r   r    s
   r  c                   @   sH   e Zd ZdZdd Zdd Zdd Zdd	 Zd
d Zdd Z	dd Z
dS )TestThreadsz3
    Check the PRNG behaves well with threads.
    c                    sp   fddt |d D  fddfddt |D }|D ]}|  qD| |D ]}|  q^S )zo
        Run *nthreads* threads extracting randomness with the given *seed*
        (no seeding if 0).
        c                    s   g | ]}   jqS r   r  r$  r   r   r   r   rb     s   z2TestThreads.extract_in_threads.<locals>.<listcomp>rR   c                    s    |  d d S )Nr8   r  r   )r   )extract_randomnessr   r8   r   r   target  s    z.TestThreads.extract_in_threads.<locals>.targetc                    s   g | ]}t j |fd qS ))r)  r   )	threadingThreadr   r)  r   r   rb     s   )r   startr  )rx   Znthreadsr(  r8   threadsthr   )r(  r   r8   rx   r)  r   extract_in_threads  s    




zTestThreads.extract_in_threadsc                 C   s"   | j d|dd}| j|dd dS )z
        When initializing the PRNG the same way, each thread
        should produce the same sequence of random numbers,
        using independent states, regardless of parallel
        execution.
        r  r  re  Tr!  Nr0  r#  rx   r(  r   r   r   r   check_thread_safety  s    	zTestThreads.check_thread_safetyc                 C   s"   | j d|dd}| j|dd dS )z
        The PRNG in new threads should be implicitly initialized with
        system entropy, if seed() wasn't called.
        r   r   re  Fr1  Nr2  r3  r   r   r   check_implicit_initialization)  s    z)TestThreads.check_implicit_initializationc                 C   s   |  t d S r   )r4  r  r   r   r   r   test_py_thread_safety3  s    z!TestThreads.test_py_thread_safetyc                 C   s   |  t d S r   )r4  r  r   r   r   r   test_np_thread_safety6  s    z!TestThreads.test_np_thread_safetyc                 C   s   |  t d S r   r5  r  r   r   r   r   test_py_implicit_initialization9  s    z+TestThreads.test_py_implicit_initializationc                 C   s   |  t d S r   r5  r  r   r   r   r   test_np_implicit_initialization<  s    z+TestThreads.test_np_implicit_initializationN)r|   r}   r~   r   r0  r4  r5  r6  r7  r9  r;  r   r   r   r   r%    s   
r%  ntz(Windows is not affected by fork() issuesc                   @   s4   e Zd ZdZdZdd Zdd Zdd Zd	d
 ZdS )TestProcessesz9
    Check the PRNG behaves well in child processes.
    Fc                    s   t  g } fddfddtt dr>t dnt fddt|D }|D ]}|  q^t|D ]}|jd	d
 qt|D ]}|  q|  |D ]}t	|t
rd|f  q|S )z`
        Run *nprocs* processes extracting randomness
        without explicit seeding.
        c                     s    j}  d| d | S )Nr   r'  r&  )r  )r(  rx   r   r   target_innerS  s    z8TestProcesses.extract_in_processes.<locals>.target_innerc               
      sH   z }   |  W n. tk
rB } z  |  W 5 d }~X Y nX d S r   )put	Exception)r  e)qr>  r   r   r)  X  s    
z2TestProcesses.extract_in_processes.<locals>.targetget_contextforkc                    s   g | ]} j d qS )r,  )Processr   )mpcr)  r   r   rb   g  s   z6TestProcesses.extract_in_processes.<locals>.<listcomp>r   )timeoutzException in child: %s)multiprocessingQueuehasattrrC  r   r-  r   getr  r  r@  Zfail)rx   Znprocsr(  r   Zprocsr   r   r  r   )r(  rF  rB  rx   r)  r>  r   extract_in_processesK  s*    




z"TestProcesses.extract_in_processesc                 C   s   |  d|}| j|dd dS )z
        The PRNG in new processes should be implicitly initialized
        with system entropy, to avoid reproducing the same sequences.
        ru   Fr1  N)rL  r#  r3  r   r   r   r5  {  s    z+TestProcesses.check_implicit_initializationc                 C   s   |  t d S r   r8  r   r   r   r   r9    s    z-TestProcesses.test_py_implicit_initializationc                 C   s   |  t d S r   r:  r   r   r   r   r;    s    z-TestProcesses.test_np_implicit_initializationN)	r|   r}   r~   r   Z_numba_parallel_test_rL  r5  r9  r;  r   r   r   r   r=  @  s   0
r=  __main__)Pr  r@  r;  rH  r   r   r  r  r*  r   Znumpyr   ZunittestZnumbar   r   Z
numba.corer   Znumba.core.compilerr   Znumba.tests.supportr   r   r   Znumba.core.errorsr	   r   r   r   r   r   r   r   r   r    r#   r'   r)   r-   r.   r1   r2   r6   r7   r<   r>   rH   rL   rM   rN   rO   r  r   r   r  r   r   r\   rd   rm   rq   rs   rt   r   r   r  r  r  r  r  r  r  r  r  r%  ZskipIfrD   r=  r|   mainr   r   r   r   <module>   s   	D     4 7DKR



	2BK
