a
    
d3                    @   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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 Z2d8d9 Z3e2d:Z4e0d;Z5e1d<Z6e2d=Z7e0d>Z8e1d?Z9d@dA Z:dBdC Z;dDdE Z<dFdG Z=dHdI Z>G dJdK dKeZ?G dLdM dMe?Z@G dNdO dOe?ZAG dPdQ dQe?ZBG dRdS dSe?ZCG dTdU dUe?ZDG dVdW dWe?ZEG dXdY dYe?ZFedZdZd[d\d] ZGd^ZHedZdZd[d_d` ZIG dadb dbeZJG dcdd ddeJZKeLejMdekdfG dgdh dheJZNeOdikreP  dS )j    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   `/var/www/html/stable-diffusion-webui/venv/lib/python3.9/site-packages/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_randrange32   s    r    c                 C   s   t j| S r   r   r   choicer   r   r   r   numpy_choice15   s    r#   c                 C   s   t jj| |dS Nsizer!   )r   r&   r   r   r   numpy_choice28   s    r'   c                 C   s   t jj| ||dS )N)r&   replacer!   )r   r&   r(   r   r   r   numpy_choice3;   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_multinomial3A   s    r.   c                 C   s   t jj| |dS r$   r   r   Z	dirichlet)alphar&   r   r   r   numpy_dirichletD   s    r1   c                 C   s   t j| S r   r/   )r0   r   r   r   numpy_dirichlet_defaultG   s    r2   c                 C   s   t jj| ||dS r$   r   r   Znoncentral_chisquare)dfnoncr&   r   r   r   numpy_noncentral_chisquareJ   s    r6   c                 C   s   t j| |S r   r3   )r4   r5   r   r   r   "numpy_noncentral_chisquare_defaultM   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_randP   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_randnW   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   sR   d dd |D }d |}d| d|  d| d}td|t }td	d
|S )N,c                 S   s   g | ]}| d | qS )=r   ).0kwr   r   r   
<listcomp>g       z#jit_with_kwargs.<locals>.<listcomp>z	def func(z):
        return (z)
r?   Tr@   )joinr   rC   r   )rD   Z
kwarg_listZcall_args_with_kwargs	signaturerF   rG   r   r   r   jit_with_kwargse   s    
rR   c                 C   s
   t | dS )N rH   rD   r   r   r   jit_nullaryo   s    rV   c                 C   s
   t | dS )Nr   rT   rU   r   r   r   	jit_unaryr   s    rW   c                 C   s
   t | dS )Nza, brT   rU   r   r   r   
jit_binaryu   s    rX   c                 C   s
   t | dS )Nza, b, crT   rU   r   r   r   jit_ternaryx   s    rY   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_state   s    rf   c                 C   s6   |   dd \}}t||dd |D f ||fS )z>
    Copy state of Numpy random *r* to Numba state *ptr*.
    r\      c                 S   s   g | ]}t |qS r   )intrK   xr   r   r   rM      rN   z"_copy_np_state.<locals>.<listcomp>)	get_stater   r_   )ra   rb   rd   re   r   r   r   _copy_np_state   s    rl   c                 C   st   |   \}}}|d }|d d }t|dks2J dtj|dd|f}|d u rX|d7 }n|d|f7 }tj| d S )Nr]   r
   ZMT19937uint32dtype)r           r\   )r^   lenr   arrayr   Z	set_state)ra   _verZmt_stZ_gauss_nextZmt_posZmt_intsZnp_str   r   r   sync_to_numpy   s    
rt   c                 C   s   d|  |d d S )N       @      ?)gammavariate)ra   r4   r   r   r   py_chisquare   s    rx   c                 C   s   t | || t | ||  S r   )rx   )ra   numZdenomr   r   r   py_f   s    rz   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   Randomrf   selfrb   r8   ra   r   r   r   _follow_cpython   s    

zBaseTest._follow_cpythonc                 C   s   t j|}t|| |S r   )r   r   RandomStaterl   r~   r   r   r   _follow_numpy   s    
zBaseTest._follow_numpyN)r|   )r|   )__name__
__module____qualname__r   r   r   r   r   r   r{      s   
r{   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 )rg   r   rK   ir   r   r   rM      rN   z6TestInternals._check_get_set_state.<locals>.<listcomp>)
r   rnd_get_stateassertIsInstancerh   r`   assertEqualrq   Nranger_   )r   rb   stater   rd   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 )Nr\   r|   r]   )r   r}   rf   r   r   r   Zrnd_shuffler^   r   r   r`   )r   rb   ra   rd   re   r   rc   r   r   r   _check_shuffle   s    

zTestInternals._check_shufflec                 C   sr   t j }dD ]^}|t | | }t|d }|d }|tksJJ t	|| | 
t|||f qd S )N)r   r\   }   l    r\   r|   )r   r   r   r8   rm   rk   r`   r   r   rnd_seedr   r   )r   rb   ra   r   strd   re   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   r\   )r   r   r   osurandomappendtupler   r   rq   set)r   rb   Zstatesr   r   r   r   _check_perturb   s    zTestInternals._check_perturbc                 C   s   |  t  d S r   )r   r   r   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                   @   s  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dddZdd Zdd Zdd Zdd  Zd!d" Zd#d$ Zd%d& Zd'd( Zd)d* Zdd+d,Zd-d. Zd/d0 Zd1d2 Zd3d4 Zd5d6 Zd7d8 Zd9d: Zd;d< Zd=d> Zd?d@ Z dAdB Z!dCdD Z"dEdF Z#dGdH Z$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 ZMdd ZNdd ZOdd ZPdd ZQdd ZRd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   r\   r   l    r   rp   rv   N)	r   r   r   r8   rm   r   r   assertPreciseEqualuniform)r   seedfunc
randomfuncra   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_randomrV   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   rp   rv   )r   r   r   r8   rm   r   r   r   )r   r   r   ra   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   rW   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   r\   c                 S   s   g | ]
}t  qS r   )r   r   r   r   r   rM   4  rN   z:TestRandom.test_independent_generators.<locals>.<listcomp>r|   c                 S   s   g | ]
}t  qS r   )r   r   r   r   r   rM   6  rN   c                 S   s   g | ]}t  t fqS r   )r   r   r   r   r   r   rM   9  rN   c                 S   s   g | ]}|d  qS )r   r   rK   pr   r   r   rM   :  rN   c                 S   s   g | ]}|d  qS )r\   r   r   r   r   r   rM   ;  rN   )r   r   r   r   )r   r   Z
py_numbersZ
np_numberspairsr   r   r   test_independent_generators0  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.
        r\   A   i r]   N)r   r   getrandbitsr   assertRaisesOverflowError)r   r?   rb   ra   nbitsr:   r;   r   r   r   _check_getrandbits=  s    

zTestRandom._check_getrandbitsc                 C   s   |  tdt  d S )Nzrandom.getrandbits)r   rW   r   r   r   r   r   test_random_getrandbitsK  s    z"TestRandom.test_random_getrandbitsrg   double   Nc           
         sf   t |sJ |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   rM   W  rN   z*TestRandom._check_dist.<locals>.<listcomp>c                    s&   g | ]}r d in  qS rn   r   r   )r   pydtyperG   r   r   rM   X  s   for arguments %spreculpsmsgrq   r   r   )
r   r?   rG   Zargslistnitersr   r   r   results	pyresultsr   )r   r?   r   rG   r   _check_distS  s    zTestRandom._check_distc           
         sf   t |sJ |D ]P fddt|D }fddt|D }	| j||	||df d qd S )Nc                    s   g | ]} f i qS r   r   r   )r?   kwargsr   r   rM   a  rN   z1TestRandom._check_dist_kwargs.<locals>.<listcomp>c                    s4   g | ],}r"f i  d inf i  qS rn   r   r   )r   r   rG   r   r   rM   b  s   r   r   r   )
r   r?   rG   Z
kwargslistr   r   r   r   r   r   r   )r?   r   r   rG   r   _check_dist_kwargs]  s    zTestRandom._check_dist_kwargsc                 C   sj   |  |}|dur2| j||jg dtd d d |durL| ||jdg |durf| ||jdg dS )z0
        Check a gauss()-like function.
        Nrv   rv   )ru         ?)g       r   r|   r   r   r   r   )r   r   normalr   r   func2func1func0rb   ra   r   r   r   _check_gaussg  s    


zTestRandom._check_gaussc                 C   s   |  tdd d t  d S )NrZ   r   rX   r   r   r   r   r   test_random_gaussv  s    zTestRandom.test_random_gaussc                 C   s   |  tdd d t  d S )Nzrandom.normalvariater   r   r   r   r   test_random_normalvariatey  s    z$TestRandom.test_random_normalvariatec                 C   s"   |  tdtdtdt  d S )Nr[   )r   rX   rW   rV   r   r   r   r   r   test_numpy_normal  s
    
zTestRandom.test_numpy_normalc                 C   s   |  d d tdt  d S )Nznp.random.standard_normalr   rV   r   r   r   r   r   test_numpy_standard_normal  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_randn  s    zTestRandom.test_numpy_randnc                 C   sj   |  |}|dur2| j||jg dtd d d |durL| ||jdg |durf| ||jdg dS )z9
        Check a lognormvariate()-like function.
        Nr   r|   r   r   r   r   )r   r   	lognormalr   r   r   r   r   _check_lognormvariate  s    


z TestRandom._check_lognormvariatec                 C   s   |  tdd d t  d S )Nzrandom.lognormvariate)r   rX   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   rX   rW   rV   r   r   r   r   r   test_numpy_lognormal  s
    
zTestRandom.test_numpy_lognormalc                    s  g }t dD ]<}	||d ||dd |du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u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ur| t	|ddd | t	|ddd dS )z4
        Check a randrange()-like function.
        r    e   Nrg   c                    s   g | ]}| k r|qS r   r   )rK   w	max_widthr   r   rM     rN   z/TestRandom._check_randrange.<locals>.<listcomp>)r\   r        l                    )r   r   r|      r      r]   r\   )
r   r   r   r   r   r   r   r   r   
ValueError)r   r   r   func3rb   r   is_numpytprd   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   )r   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   )r   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   )r\   r   )   r   )   r   r\   r      r|   N)
r   r   r   rq   r   r   r   r   r   r   )r   r?   rb   r   rd   r   ra   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   )r   r   r   Zcrr   r   r   test_random_randint  s    zTestRandom.test_random_randintc                 C   s"   |  |}| ||jg d dS )z2
        Check a uniform()-like function.
        ))      ?    .A)           @@)r  r	  N)r   r   r   r   r?   rb   ra   r   r   r   _check_uniform  s    

zTestRandom._check_uniformc                 C   s&   |  |}t||}| ||| dS )z
        Check any numpy distribution function. Does Numba use the same keyword
        argument names as Numpy?
        And given a fixed seed, do they both return the same samples?
        N)r   getattrr   )r   r?   rb   distrib	paramlistra   Zdistrib_method_of_numpyr   r   r   _check_any_distrib_kwargs  s    

z$TestRandom._check_any_distrib_kwargsc                 C   s   |  tdt  d S )Nzrandom.uniform)r  rX   r   r   r   r   r   test_random_uniform  s    zTestRandom.test_random_uniformc                 C   s   |  tdt  d S )Nnp.random.uniform)r  rX   r   r   r   r   r   test_numpy_uniform  s    zTestRandom.test_numpy_uniformc              	   C   s:   | j tdddgt dddddd	ddddgd
 d S )Nr  lowhighr   r  r  )r  r  r	  r
  )r  r  rR   r   r   r   r   r   test_numpy_uniform_kwargs  s    z$TestRandom.test_numpy_uniform_kwargsc                 C   s<   |  |}|dur&| ||jg d | ||jdg dS )z5
        Check a triangular()-like function.
        N)r        @)r	  r  )r  r  )r  r  皙@)r   r   
triangular)r   r   r   rb   ra   r   r   r   _check_triangular  s    

zTestRandom._check_triangularc                 C   s   |  tdtdt  d S )Nzrandom.triangular)r  rX   rY   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   )lra   mr  r   r   <lambda>)  rN   z2TestRandom.test_numpy_triangular.<locals>.<lambda>)rY   r  r   )r   Zfixed_triangularr   r   r   test_numpy_triangular'  s    z TestRandom.test_numpy_triangularc                 C   s   |  |}|dur&| ||jg d |durF| |d|dd |dur| t|dd | t|dd | t|dd | t|dd |dur| t|d | t|d dS )z7
        Check a gammavariate()-like function.
        N)r         @)rv   r  r  r  rv   rp         )r   r   rw   r   r   r   )r   r   r   rb   ra   r   r   r   _check_gammavariate,  s    

zTestRandom._check_gammavariatec                 C   s   |  tdd t  d S )Nzrandom.gammavariate)r&  rX   r   r   r   r   r   test_random_gammavariateA  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&  rX   rW   r   r   r   r   r   test_numpy_gammaE  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#  rp   rv   r%  N)r   r   betavariater   r   r  r   r   r   _check_betavariateM  s    
zTestRandom._check_betavariatec                 C   s   |  tdt  d S )Nzrandom.betavariate)r*  rX   r   r   r   r   r   test_random_betavariateZ  s    z"TestRandom.test_random_betavariatec                 C   s   |  tdt  d S )Nznp.random.beta)r*  rX   r   r   r   r   r   test_numpy_beta]  s    zTestRandom.test_numpy_betac                 C   s    |  |}| ||jdg dS )z:
        Check a vonmisesvariate()-like function.
        r#  N)r   r   vonmisesvariater  r   r   r   _check_vonmisesvariate`  s    
z!TestRandom._check_vonmisesvariatec                 C   s   |  tdt  d S )Nzrandom.vonmisesvariate)r.  rX   r   r   r   r   r   test_random_vonmisesvariateg  s    
z&TestRandom.test_random_vonmisesvariatec                 C   s   |  tdt  d S )Nznp.random.vonmises)r.  rX   r   r   r   r   r   test_numpy_vonmisesk  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  rg   r\   r   )r   N)r   r   r   exponential)r   r?   rb   ra   lambdr   r   r   r   _check_expovariateo  s    
zTestRandom._check_expovariatec                 C   s   |  tdt  d S )Nzrandom.expovariate)r3  rW   r   r   r   r   r   test_random_expovariatez  s    z"TestRandom.test_random_expovariatec                 C   sD   |  |}|dur&| ||jg d |dur@| ||jdg dS )z6
        Check a exponential()-like function.
        N)r   rv   r  r   )r   r   r1  )r   r   r   rb   ra   r   r   r   _check_exponential}  s
    
zTestRandom._check_exponentialc                 C   s   |  tdtdt  d S )Nznp.random.exponential)r7  rW   rV   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)r7  rV   r   r   r   r   r   test_numpy_standard_exponential  s    z*TestRandom.test_numpy_standard_exponentialc                 C   s"   |  |}| ||jddg dS )z8
        Check a paretovariate()-like function.
        r   )r  N)r   r   paretovariater  r   r   r   _check_paretovariate  s    
zTestRandom._check_paretovariatec                 C   s   |  tdt  d S )Nzrandom.paretovariate)r;  rW   r   r   r   r   r   test_random_paretovariate  s    z$TestRandom.test_random_paretovariatec                    s&   t d  fdd}| |t  d S )Nznp.random.paretoc                    s    | d S )Nrv   r   r   paretor   r   r!    rN   z.TestRandom.test_numpy_pareto.<locals>.<lambda>)rW   r;  r   )r   Zfixed_paretor   r=  r   test_numpy_pareto  s    zTestRandom.test_numpy_paretoc                 C   sV   |  |}|dur$| ||jdg |durRtdD ]}| |d|dd q4dS )z9
        Check a weibullvariate()-like function.
        Nr#  rg   r$  rv   )r   r   weibullvariater   r   )r   r   r   rb   ra   r   r   r   r   _check_weibullvariate  s    


z TestRandom._check_weibullvariatec                 C   s   |  tdd t  d S )Nzrandom.weibullvariate)rA  rX   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)rA  rW   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     '  rp   rv   )	g-C6?皙?皙?g9?r   g㈵ ?皙??H.?r   r\   rg   r]   r   皙皙?)rX   r   r   r   binomialr   assertGreaterEqualassertLessEqualmathsqrtr   r   )r   rO  ra   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.chisquarer6  r$  )rW   r   r   r   	functoolspartialrx   )r   	chisquarera   r   r   r   test_numpy_chisquare  s    
zTestRandom.test_numpy_chisquarec                 C   s2   t d}| t }| |tt|ddg d S )Nznp.random.fr   r  )r  rJ  )rX   r   r   r   rW  rX  rz   )r   fra   r   r   r   test_numpy_f  s
    zTestRandom.test_numpy_fc                    s0  t d | t d | t d | t d d} fddt|D }| |dg|   fd	dt|D }|d}| ||d
  | || | dd |D   fddt|D }| 	dd |D   fddt|D }| 	dd |D   fddt|D }| 	dd |D  d S )Nznp.random.geometricg      rp   gjt?   c                    s   g | ]} d qS r5  r   r   Zgeomr   r   rM     rN   z3TestRandom.test_numpy_geometric.<locals>.<listcomp>r\   c                    s   g | ]} d qS rK  r   r   r_  r   r   rM     rN   r|   c                 S   s   g | ]}|d kr|qS )rF  r   r   r   r   r   rM     rN   c                    s   g | ]} d qS )rI  r   r   r_  r   r   rM     rN   c                 S   s   g | ]}|d kr|qS )r  r   r   r   r   r   rM     rN   c                    s   g | ]} d qS )g{Gz?r   r   r_  r   r   rM     rN   c                 S   s   g | ]}|d kr|qS )2   r   r   r   r   r   rM     rN   c                    s   g | ]} d qS )gV瞯<r   r   r_  r   r   rM     rN   c                 S   s   g | ]}|d kr|qS )        r   r   r   r   r   rM     rN   )
rW   r   r   r   r   countrP  
assertLessZassertFalse
assertTrue)r   r   ra   r+   r   r_  r   test_numpy_geometric  s$    
zTestRandom.test_numpy_geometricc                 C   s,   t d}| t }| ||jddg d S )Nnp.random.gumbelrp   rv         r  )rX   r   r   r   gumbel)r   rk  ra   r   r   r   test_numpy_gumbel  s    zTestRandom.test_numpy_gumbelc                 C   s2   | j tdddgt dddddd	dgd
 d S )Nrg  locscalerk  rp   rv   )rm  rn  rj  r  r  r  r  r   r   r   r   test_numpy_gumbel_kwargs  s    z#TestRandom.test_numpy_gumbel_kwargsc                    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rF  r   r   )r   rF  r      r   c                    s   g | ]} d d dqS )rF  rE  r   r   hgr   r   rM     rN   z8TestRandom.test_numpy_hypergeometric.<locals>.<listcomp>rE  c                 s   s   | ]}|d ko|dkV  qdS r   rE  Nr   ri   r   r   r   	<genexpr>	  rN   z7TestRandom.test_numpy_hypergeometric.<locals>.<genexpr>g      D@g      N@c                    s   g | ]} d ddqS )rF  順 rE  r   r   rs  r   r   rM     rN   c                 s   s   | ]}|d ko|dkV  qdS ru  r   ri   r   r   r   rv    rN         $@c                    s   g | ]} d ddqS )rw  rF  rE  r   r   rs  r   r   rM     rN   c                 s   s   | ]}|d ko|dkV  qdS ru  r   ri   r   r   r   rv    rN   g     V@)rY   r   r   r   hypergeometricr   re  allrP  r   meanrQ  r   ra   r   rs  r   test_numpy_hypergeometric   s     
z$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.laplacerh  ri  rp   rj  r   )r   r   r   rX   laplacerW   rV   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.logisticrh  ri  r~  r  r   )r   r   r   rX   logisticrW   rV   r|  r   r   r   test_numpy_logistic  s    zTestRandom.test_numpy_logisticc                    s   |  t }td | j |jg ddd | j t dd}|  fddtd	D g d
 | t d | t d | t d d S )Nznp.random.logseries)rH  )gGz?)rL  ra  r   r\   r8   c                    s   g | ]} d qS )g{?r   r   	logseriesr   r   rM   ,  rN   z3TestRandom.test_numpy_logseries.<locals>.<listcomp>r   )
ivxi- rr  i  in i)l   &ci܀oirH i  rp   rM  rN  )	r   r   rW   r   r  r   r   r   r   r|  r   r  r   test_numpy_logseries#  s    
zTestRandom.test_numpy_logseriesc                 C   s>   |  t }td}| j||jg ddd | t|d d S )Nznp.random.poisson)r~  r   ru   )rx  )g     $@ra  r   rM  )r   r   rW   r   poissonr   r   )r   ra   r  r   r   r   test_numpy_poisson3  s    
zTestRandom.test_numpy_poissonc                    s   |  t d td |  fddtdD g d |  fddtdD g d |  fd	dtdD g d
 t fddtdD }| |d | |d | 	t
 dd | 	t
 dd | 	t
 dd | 	t
 dd d S )Nr   znp.random.negative_binomialc                    s   g | ]} d dqS )r   rK  r   r   Znegbinr   r   rM   ?  rN   z;TestRandom.test_numpy_negative_binomial.<locals>.<listcomp>r   )
r|   rg   r\   r   r|   r\   r   r\   r   r   c                    s   g | ]} d dqS )r   rH  r   r   r  r   r   rM   A  rN   )
7   G   8   9   r  r  "   r  e   C   c                    s   g | ]} d dqS )rF  rH  r   r   r  r   r   rM   C  rN   )
i#  i!  iy#  iL$  i"  i#  i#  iF"  i"  i#  c                    s   g | ]} d dqS )i ʚ;rH  r   r   r  r   r   rM   F  s   ra  g   | Bg   $s Br   r]   rM  rN  )r   r   rX   r   r   r   r{  ZassertGreaterrd  r   r   )r   r  r   r  r   test_numpy_negative_binomial<  s(    z'TestRandom.test_numpy_negative_binomialc                 C   sH   |  t }td}| ||jg d | t|d | t|d d S )Nznp.random.power)r  r   r`  )g      @rp   rM  )r   r   rW   r   powerr   r   )r   ra   r  r   r   r   test_numpy_powerO  s    
zTestRandom.test_numpy_powerc                 C   sb   |  t }td}td}| ||jg d | ||jdg | t|d | t|d d S )Nznp.random.rayleigh)r  rJ  )g      9@)r
  r   rp   rM  )r   r   rW   rV   r   rayleighr   r   )r   ra   Z	rayleigh1Z	rayleigh0r   r   r   test_numpy_rayleighW  s    
zTestRandom.test_numpy_rayleighc                 C   s*   |  t }td}| ||jdg d S )Nznp.random.standard_cauchyr   )r   r   rV   r   standard_cauchy)r   ra   Zcauchyr   r   r   test_numpy_standard_cauchya  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   rM   l  rN   z4TestRandom.test_numpy_standard_t.<locals>.<listcomp>r   r   )r   r   rW   r   r{  r   rd  abs)r   ra   avgr   r  r   test_numpy_standard_tf  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 )Nnp.random.waldr   )ru         @rp   rv   rM  )r   r   rX   r   waldr   r   )r   ra   r  r   r   r   test_numpy_waldp  s    zTestRandom.test_numpy_waldc                 C   sv   t dddg}| j|t dddddddgd	 | t|d
d | t|dd | t|dd
 | t|dd d S )Nr  r{  rn  r  rv   )r{  rn  ru   r  ro  rp   rM  )rR   r  r   r   r   )r   Znumba_versionr   r   r   test_numpy_wald_kwargsy  s    z!TestRandom.test_numpy_wald_kwargsc                 C   sH   |  t }td}| j||jddgdd dD ]}| t|| q0d S )Nznp.random.zipfr6  rV  rE  r   )rv   r   rp   rM  )r   r   rW   r   zipfr   r   )r   ra   r  valr   r   r   test_numpy_zipf  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 d   n1 s0    Y  dS )	z=
        Check a shuffle()-like function for arrays.
        r      )r   r  rg   r\   r   s   xyzN)r   arangereshaper   r   r   copyrq   shapeshuffler   
memoryviewassertNotEqualr`   r   sortedZassertTypingError)r   r?   rb   r   arrsra   r   r   r;   r:   r   r   r   r   r     s&    


zTestRandom._check_shufflec                 C   s   |  tdt d d S )Nzrandom.shuffleF)r   rW   r   r   r   r   r   test_random_shuffle  s    zTestRandom.test_random_shufflec                 C   s   |  tdt d d S )Nznp.random.shuffleT)r   rW   r   r   r   r   r   test_numpy_shuffle  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))
            rg   z-c)stdoutstderrr   z/process failed with code %s: stderr follows
%s
N)rB   r   r   
subprocessPopensys
executablePIPEcommunicate
returncodeAssertionErrordecodeaddfloatstripr   rq   )	r   	func_name	func_argsrF   Znumbersr   popenouterrr   r   r   _check_startup_randomness  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   r|   r      rg   $   )	rW   r   r   r   r  r  r   Zpermutationr  )r   r?   ra   sr   r   r  r   r   r   test_numpy_random_permutation  s     
z(TestRandom.test_numpy_random_permutation)rg   r   r   N)rg   r   r   N)N)Sr   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/  r0  r3  r4  r7  r8  r9  r;  r<  r?  rA  rB  rC  rU  rZ  r]  rf  rl  rp  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      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d0d1 Zd2d3 Zd4d5 Zd6d7 Zd8d9 Zd:d; Z d<d= Z!d>d? Z"d@dA Z#dBdC Z$dDdE Z%dFdG Z&dHS )ITestRandomArrayszA
    Test array-producing variants of np.random.* functions.
    c                 C   s&   d|f }d dd | }t||S )Nnp.random.%s, abcd)rP   rH   )r   funcnamenargsqualnamerE   r   r   r   _compile_array_dist  s    
z$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 }|| }|| }	| j||	ddd d	S )
zM
        Check returning an array according to a given distribution.
        r\   r   r|   rg   r   r   r   r   r   r   r   N)	r  rq   r   r   r  ro   r   astyper   )
r   r  scalar_argscfuncra   rG   r&   r   r:   r;   r   r   r   _check_array_dist  s     

z"TestRandomArrays._check_array_distc                    s   |  |t|d }| t }t|d ||  fdd}|d }| }|| }	| j||	ddd d	D ]R}
||
f }t|
}|j}t	|j
D ]}| ||< q|| }	| j||	ddd qld
S )z
        Check returning an array according to a given gamma distribution,
        where we use CPython's implementation rather than NumPy's.
        r\   rw   c                     s     S r   r   )_argsrG   Zpyfunc_argsr   r   r!    rN   z:TestRandomArrays._check_array_dist_gamma.<locals>.<lambda>r   r   r   r  r  N)r  rq   r   r   r  r   r   emptyflatr   r&   )r   r  r  Zextra_pyfunc_argsr  ra   Zpyrandomr   r:   r;   r&   Zexpected_flatidxr   r  r   _check_array_dist_gamma  s"    


z(TestRandomArrays._check_array_dist_gammac                 C   s   t jdd }| |t|d }d|f }dddt| }t||}dD ]f}||f }	|  ||	 }
|  tj||
jd	}|j	}t
|jD ]}|| ||< q| j||
d
dd qP|  |d }	|| }|  ||	 }
| j||
d
dd dS )a  
        Check function returning an array against its scalar implementation.
        Because we use the CPython gamma distribution rather than the NumPy one,
        distributions which use the gamma distribution vary in ways that are
        difficult to compare. Instead, we compile both the array and scalar
        versions and check that the array is filled with the same values as
        we would expect from the scalar version.
        c                   S   s   t jd d S )Ni  )r   r   r8   r   r   r   r   reset#  s    z6TestRandomArrays._check_array_dist_self.<locals>.resetr\   r  r  r  Nr  rn   r   r   r  r   )numbaZnjitr  rq   rP   rH   r   r  ro   r  r   r&   r   )r   r  r  r  Z
array_funcr  rE   Zscalar_funcr&   r   r;   r:   r  r  r   r   r   _check_array_dist_self  s,    	



z'TestRandomArrays._check_array_dist_selfc                 C   s   |  dd}d\}}d}||||}| |tj | |j| | |jtdtdf | t	||k | t	||k  || d }|| d }| 
| ||  | | ||  d S )	Nr   rg   )rF  rG  rr  rr  r   r   r|   r  )r  r   r   ndarrayr   r  assertInro   re  rz  rP  r{  rQ  )r   r  r  r  r&   resr{  rT  r   r   r   r   A  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   r\   r  float64rp   rv   rH  rK  g?g?)r  r   r   r  r   r  ro   re  rz  anyr{  rP  rQ  )r   r  r&   r  r{  r   r   r   test_numpy_random_randomQ  s    z)TestRandomArrays.test_numpy_random_randomc                 C   s   |  dd d S )Nbetar#  r  r   r   r   r   r,  e  s    z TestRandomArrays.test_numpy_betac                 C   s   |  dd d S )NrO  )r  r   r  r   r   r   r   rU  h  s    z$TestRandomArrays.test_numpy_binomialc                 C   s   |  dd d S )NrY  r6  r  r   r   r   r   rZ  k  s    z%TestRandomArrays.test_numpy_chisquarec                 C   s   |  dd d S )Nr1  r6  r  r   r   r   r   r8  n  s    z'TestRandomArrays.test_numpy_exponentialc                 C   s   |  dd d S )Nr\  r[  r  r   r   r   r   r]  q  s    zTestRandomArrays.test_numpy_fc                 C   s   |  ddd d S )Ngamma)ru   rv   r   r  r   r   r   r   r(  t  s    z!TestRandomArrays.test_numpy_gammac                 C   s   |  dd d S )NZ	geometricr5  r  r   r   r   r   rf  w  s    z%TestRandomArrays.test_numpy_geometricc                 C   s   |  dd d S )Nrk  r  r   r  r   r   r   r   rl  z  s    z"TestRandomArrays.test_numpy_gumbelc                 C   s   |  dd d S )Nry  rq  r  r   r   r   r   r}  }  s    z*TestRandomArrays.test_numpy_hypergeometricc                 C   s   |  dd d S )Nr  r  r  r   r   r   r   r    s    z#TestRandomArrays.test_numpy_laplacec                 C   s   |  dd d S )Nr  r  r  r   r   r   r   r    s    z$TestRandomArrays.test_numpy_logisticc                 C   s   |  dd d S )Nr   )r  ru   r  r   r   r   r   r     s    z%TestRandomArrays.test_numpy_lognormalc                 C   s   |  dd d S )Nr  r  r  r   r   r   r   r    s    z%TestRandomArrays.test_numpy_logseriesc                 C   s   |  dd d S )Nr   )r   ru   r  r   r   r   r   r     s    z"TestRandomArrays.test_numpy_normalc                 C   s   |  dd d S )Nr>  r   r  r   r   r   r   r?    s    z"TestRandomArrays.test_numpy_paretoc                 C   s   |  dd d S )Nr  r  r  r   r   r   r   r    s    z#TestRandomArrays.test_numpy_poissonc                 C   s   |  dd d S )Nr  r  r  r   r   r   r   r    s    z!TestRandomArrays.test_numpy_powerc                 C   s<   t ddt}|ddd\}}| |jd | || d S NTr@   *   r|   rg   r  )r   r<   r   r  r   r   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 )Nr  r  r  r   r   r   r   r    s    z$TestRandomArrays.test_numpy_rayleighc                 C   s   |  dd d S )Nr  r   r  r   r   r   r   r    s    z+TestRandomArrays.test_numpy_standard_cauchyc                 C   s   |  dd d S )NZstandard_exponentialr   r  r   r   r   r   r9    s    z0TestRandomArrays.test_numpy_standard_exponentialc                 C   s   |  ddd d S )NZstandard_gammar  r5  r  r   r   r   r   test_numpy_standard_gamma  s    z*TestRandomArrays.test_numpy_standard_gammac                 C   s   |  dd d S )Nr=   r   r  r   r   r   r   r     s    z+TestRandomArrays.test_numpy_standard_normalc                 C   s   |  dd d S )Nr  )r  r  r  r  r   r   r   r   r"    s    z&TestRandomArrays.test_numpy_triangularc                 C   s   |  dd d S )Nr   rH  rI  r  r   r   r   r   r    s    z#TestRandomArrays.test_numpy_uniformc                 C   s   |  dd d S )Nr  r  r  r   r   r   r   r    s    z TestRandomArrays.test_numpy_waldc                 C   s   |  dd d S )NZvonmisesr#  r  r   r   r   r   r0    s    z$TestRandomArrays.test_numpy_vonmisesc                 C   s   |  dd d S )Nr  rV  r  r   r   r   r   r    s    z TestRandomArrays.test_numpy_zipfN)'r   r   r   r   r  r  r  r  r   r  r,  rU  rZ  r8  r]  r(  rf  rl  r}  r  r  r   r  r   r?  r  r  r  r   r  r  r9  r  r   r"  r  r  r0  r  r   r   r   r   r    sH   '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   rQ  r  r  r`   rd  rq   r   )r   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.
        rE  r   ru   N)rP  rq   collectionsCounterrQ  )r   r   ZsamplesZexpected_frequencyr   valuer+   r   r   r   r     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)rq   r`   r  )r   r?   Znresultsr  r   r   r   _accumulate_array_results  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   rM     rN   z4TestRandomChoice._check_choice_1.<locals>.<listcomp>c                    s   g | ]} qS r   r   r   r  r   r   rM     rN   rE  N)r   r#   rq   r   r  r   )r   r   r   r+   r  distr   r  r   _check_choice_1  s    z TestRandomChoice._check_choice_1c                 C   s    d}t t|}| || dS )z"
        Test choice(int)
        ra  N)r`   r   r
  r   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)
        ra  r|   rE  N)r   r  r
  r   r   r   r   r   test_choice_array_1  s    z$TestRandomChoice.test_choice_array_1c                 C   sB   t |}t| j}| ||| | ||d }| || dS )zP
        Check array results produced by *func* and their distribution.
        rE  N)rq   r`   r  r  r  r   )r   r?   r   r(   r+   r  r	  r   r   r   _check_array_results  s
    z%TestRandomChoice._check_array_resultsc                    s   t ddtt|}|d d|d d f|d g}|D ]H }ttrTnf}| |j| |  fdd| q8dS )	z4
        Check choice(a, size) against pop.
        Tr@   r   rg   r\   c                      s
    S r   r   r   r   r  r&   r   r   r!  %  rN   z2TestRandomChoice._check_choice_2.<locals>.<lambda>N)r   r'   rq   
isinstancer   r   r  r  )r   r   r   r+   sizesr  expected_shaper   r  r   _check_choice_2  s    
z TestRandomChoice._check_choice_2c                 C   s   d}t |}| || dS )z(
        Test choice(int, size)
        ra  Nr   r  r  r  r   r   r   test_choice_scalar_2'  s    
z%TestRandomChoice.test_choice_scalar_2c                 C   s"   t dd d }| || dS )z*
        Test choice(array, size)
        ra  r|   rE  Nr  r  r   r   r   test_choice_array_2/  s    z$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 d   q1 s0    Y  qdS )z=
        Check choice(a, size, replace) against pop.
        Tr@   r   rg   r\   F)TFc                      s    dS )NTr   r   r  r   r   r!  J  rN   z2TestRandomChoice._check_choice_3.<locals>.<lambda>c                      s    dS )NFr   r   r  r   r   r!  M  rN   N)
r   r)   rq   r  r   r   r  r  r   r   )	r   r   r   r+   r  Zreplacesr(   r  r  r   r  r   _check_choice_36  s     z TestRandomChoice._check_choice_3c                 C   s   d}t |}| || dS )z1
        Test choice(int, size, replace)
        ra  Nr   r  r  r  r   r   r   test_choice_scalar_3T  s    
z%TestRandomChoice.test_choice_scalar_3c                 C   s"   t dd d }| || dS )z3
        Test choice(array, size, replace)
        ra  r|   rE  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  r|   F)r   r   r8   r  r   r   r"   )Zn_to_returnchoice_arrayr  r   r   r   r   numba_randsf  s
    z>TestRandomChoice.test_choice_follows_seed.<locals>.numba_randsi,  rF  r%   r   )
r   r   r   r   r  r   r  Zpy_functestingassert_allclose)r   r  r  Ztmp_npr:   Ztmp_nbr;   r   r   r   test_choice_follows_seedc  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                   @   sP   e Zd ZdZejg d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.
    )r\   r\   r\   r|   rg   r\   rn   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   ru   N)r   r   r  r   r  rq   r  ro   sumziprP  rQ  r  )r   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@   rF  i@B r\   r   rE  rn   N)	r   r-   r,   r%  r`   r   rr   r  r"  )r   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@   rF  r   r   N)r   r.   r,   r   r  r%  r   r  r+   r,   kr  r$  r   r   r   test_multinomial_3_int  s    z,TestRandomMultinomial.test_multinomial_3_intc                 C   sl   t ddt}d| j }}d}||||}| |jdd | |d|jd fD ]}| ||| qTdS )z9
        Test multinomial(n, pvals, size: tuple)
        Tr@   rF  )rg   r  Nr]   )r   r.   r,   r   r  r  r%  r'  r   r   r   test_multinomial_3_tuple  s    z.TestRandomMultinomial.test_multinomial_3_tupleN)r   r   r   r   r   rr   r  r,   r"  r%  r&  r)  r*  r   r   r   r   r!  y  s   r!  c                   @   s@   e Zd Zejg dejdZdd Zdd Zdd Z	d	d
 Z
dS )TestRandomDirichlet)r\   r\   r\   r|   rn   c                 C   s   |  |tj | |jtj |du r:| |jt| n<t|t	u r^| |j
|t|f n| |j
|t|f  t|D ]}| |d | |d q|du r| j| ddd n(t|jddD ]}| j|ddd qdS )zCheck output structureNr   r\   r   )Zplacesr]   )Zaxis)r   r   r  r   ro   r  r&   rq   typerh   r  nditerrP  rQ  ZassertAlmostEqualr"  )r   r0   r&   r$  r  Ztotalsr   r   r   r%    s    z!TestRandomDirichlet._check_samplec                 C   sf   t ddt}| jt| jtjg dtjdtjg dtjdf}|D ]}||}| |d| qFdS )2
        Test dirichlet(alpha, size=None)
        Tr@   r\   r\   rG  r\   rn   r\   r\   r  r\   N)r   r2   r0   r   r   rr   r  r%  )r   r  alphasr0   r  r   r   r   test_dirichlet_default  s    z*TestRandomDirichlet.test_dirichlet_defaultc                 C   sx   t ddt}d}| jt| jtjg dtjdtjg dtjdf}t||D ] \}}|||}| 	||| qRdS )r.  Tr@   )Nr   r   r   r/  rn   r0  N)
r   r1   r0   r   r   rr   r  	itertoolsproductr%  )r   r  r  r1  r0   r&   r  r   r   r   test_dirichlet  s    
z"TestRandomDirichlet.test_dirichletc              
   C   s   t ddt}td}| t}||d W d    n1 s@0    Y  | dt|j | j}ddddd	d
t	
dt	dff}|D ]J}| t}||| W d    n1 s0    Y  | dt|j qd S )NTr@   )r   r\   r\   r\   zdirichlet: alpha must be > 0.0              @r  r  r\   r8  r\   r8  r8  rg   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	   )r   r  r0   raisesr  r&   r   r   r   test_dirichlet_exceptions  s    ("(z-TestRandomDirichlet.test_dirichlet_exceptionsN)r   r   r   r   rr   r  r0   r%  r2  r7  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 u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   ro   r  r  rh   r  r  r-  rP  )r   r&   r$  r  r   r   r   r%  
  s    
z+TestRandomNoncentralChiSquare._check_samplec                 C   sV   t ddt}d}|D ]:\}}|||}| d| ||tj}| t| qdS )z@
        Test noncentral_chisquare(df, nonc, size=None)
        Tr@   )r   r\   r  )r   r\   )rw  r\   )r\   rG  N)r   r7   r%  r   nanre  isnan)r   r  inputsr4   r5   r  r   r   r   !test_noncentral_chisquare_default  s    
z?TestRandomNoncentralChiSquare.test_noncentral_chisquare_defaultc                 C   sn   t ddt}d}d}t||D ]F\\}}}||||}| || ||tj|}| t|	  q"dS )z;
        Test noncentral_chisquare(df, nonc, size)
        Tr@   )Nr   r3  r4  rC  N)
r   r6   r5  r6  r%  r   rD  re  rE  rz  )r   r  r  rF  r4   r5   r&   r  r   r   r   test_noncentral_chisquare/  s    z7TestRandomNoncentralChiSquare.test_noncentral_chisquarec              
   C   s0  t ddt}d\}}| t}|||d W d    n1 sB0    Y  | dt|j d\}}| t}|||d W d    n1 s0    Y  | dt|j d\}}dd	d
dddtdt	dff}|D ]N}| t
}|||| W d    n1 s0    Y  | dt|j qd S )NTr@   )r   r\   r\   zdf <= 0)r\   r]   znonc < 0)r\   r\   r8  r  r9  r:  r;  rg   r   zRnp.random.noncentral_chisquare(): size should be int or tuple of ints or None, got)r   r6   r   r   r  r<  r=  r   r>  r   r	   )r   r  r4   r5   r?  r  r&   r   r   r   $test_noncentral_chisquare_exceptionsC  s$    **",zBTestRandomNoncentralChiSquare.test_noncentral_chisquare_exceptionsN)r   r   r   r%  rG  rH  rI  r   r   r   r   rA    s   rA  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_randomnessZ  s    
rJ  rb  c                 C   s<   | dkrt j|  d}t|jD ]}t jt||< q"d S rB  )r   r   r8   r   r&   r   _randint_limit)r8   r  r  r   r   r   r   np_extract_randomnessc  s
    rL  c                   @   s0   e Zd ZdZdd Zdd Zdd Zdd	 Zd
S )ConcurrencyBaseTestrw  c                 C   s"   d|  df}t|  t|  d S )Nr  r\   )_get_outputrJ  rL  )r   r   r   r   r   setUpu  s    zConcurrencyBaseTest.setUpc                 C   s   t j|t jdS )Nrn   )r   zerosrm   )r   r&   r   r   r   rN  {  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   rb  r   g?)rtolN)r   rS  r  r  r{  Zstd)r   r  Zexpected_avgZexpected_stdrQ  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 )Nr\   c                 S   s   h | ]}t |d d qS )Nr   r   rK   r  r   r   r   	<setcomp>  rN   z<ConcurrencyBaseTest.check_several_outputs.<locals>.<setcomp>c                 S   s   h | ]}t |d d qS )r   NrS  rT  r   r   r   rU    rN   c                 S   s   h | ]}|  qS r   )r"  rT  r   r   r   rU    rN   )rR  rq   r   )r   r   same_expectedr  Zexpected_distinctZheadstailsZsumsr   r   r   check_several_outputs  s    z)ConcurrencyBaseTest.check_several_outputsN)r   r   r   _extract_iterationsrO  rN  rR  rX  r   r   r   r   rM  m  s
   rM  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   rN  rY  r   r   r   r   rM     s   z2TestThreads.extract_in_threads.<locals>.<listcomp>r\   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   rM     s   )r   startrP   )r   Znthreadsr]  r8   threadsthr   )r]  r   r8   r   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  r  TrV  Nre  rX  r   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   r  Frf  Nrg  rh  r   r   r   check_implicit_initialization  s    z)TestThreads.check_implicit_initializationc                 C   s   |  t d S r   )ri  rJ  r   r   r   r   test_py_thread_safety  s    z!TestThreads.test_py_thread_safetyc                 C   s   |  t d S r   )ri  rL  r   r   r   r   test_np_thread_safety  s    z!TestThreads.test_np_thread_safetyc                 C   s   |  t d S r   rj  rJ  r   r   r   r   test_py_implicit_initialization  s    z+TestThreads.test_py_implicit_initializationc                 C   s   |  t d S r   rj  rL  r   r   r   r   test_np_implicit_initialization  s    z+TestThreads.test_np_implicit_initializationN)r   r   r   r   re  ri  rj  rk  rl  rn  rp  r   r   r   r   rZ    s   
rZ  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]  r   r   r   target_inner  s    z8TestProcesses.extract_in_processes.<locals>.target_innerc               
      sJ   z }   |  W n0 tyD } z  |  W Y d }~n
d }~0 0 d S r   )put	Exception)r  e)qrs  r   r   r^    s    
z2TestProcesses.extract_in_processes.<locals>.targetget_contextforkc                    s   g | ]} j d qS )ra  )Processr   )mpcr^  r   r   rM     s   z6TestProcesses.extract_in_processes.<locals>.<listcomp>r   )timeoutzException in child: %s)multiprocessingQueuehasattrrx  r   rb  r   getrP   r  ru  Zfail)r   Znprocsr]  r   Zprocsr   r   r  r   )r]  r{  rw  r   r^  rs  r   extract_in_processes  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.
        r|   Frf  N)r  rX  rh  r   r   r   rj    s    z+TestProcesses.check_implicit_initializationc                 C   s   |  t d S r   rm  r   r   r   r   rn  &  s    z-TestProcesses.test_py_implicit_initializationc                 C   s   |  t d S r   ro  r   r   r   r   rp  )  s    z-TestProcesses.test_np_implicit_initializationN)	r   r   r   r   Z_numba_parallel_test_r  rj  rn  rp  r   r   r   r   rr    s   0
rr  __main__)Qr  rW  rR  r}  r   r   r  r  r_  r5  numpyr   Zunittestr  r   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   rR   rV   rW   rX   rY   r  r   r   r  r   r   rf   rl   rt   rx   rz   r{   r   r   r  r  r!  r+  rA  rJ  rK  rL  rM  rZ  ZskipIfrD   rr  r   mainr   r   r   r   <module>   s   
	D     h a 7DKR



	2BK
