U
    ?h                     @   s$  d dl Z d dlZ d dlZd dlZd dlZd dlZd dlZd dlZd dl	m
Z
mZ d dlmZ d dlmZ d dlmZmZ e jjZe je_g e_ejdkre jjjZe jge_de_dZn*e e j !dj"Ze jge_e j#e_d	Zd
d Z$dZ%dd Z&dd Z'G dd deZ(e)dkr e*  dS )    N)compile_isolatedFlags)jit)errors)TestCasetagnt   ci  c                 C   s$   |D ]}t dt  t | |< qd S )N
   )sleepsleep_factorPyThread_get_thread_identaindicesidx r   F/var/www/html/venv/lib/python3.8/site-packages/numba/tests/test_gil.pyf#   s    r   zvoid(int64[:], intp[:])c                 C   s*   t   |D ]}tdt  t | |< q
dS )z/
    Same as f(), but inside a lifted loop
    r   N)objectr   r   r   r   r   r   r   lifted_f/   s    r   c                 C   s*   |D ] }t dt  t  t | |< qdS )z)
    Same as f(), but in object mode
    r   N)r   r   r   r   r   r   r   r   object_f9   s    r   c                   @   sd   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
dd Zdd Zdd ZdS )TestGILReleasec                 C   s   t j|t jdS )NZdtype)nparangeZint64)selfZ	n_membersr   r   r   make_test_arrayF   s    zTestGILRelease.make_test_arrayc                 C   s   g }||  dtjdtjd |  d}t|D ]>}tj|jtjd}tj| tj	|||fd}|
| q2|D ]}|  qv|D ]}|  q|S )Nr	   r   2   )targetargs)r   r   r   Zintprangesizerandomshuffle	threadingThreadappendstartjoin)r   func	n_threadsthreadsarrir   tr   r   r   run_in_threadsI   s    


zTestGILRelease.run_in_threadsc                 C   s,   | j |dd}t|}| t|d| d S )N   )r,   r	   )r1   setZassertEquallen)r   r+   r.   distinctr   r   r   check_gil_held]   s    zTestGILRelease.check_gil_heldc                 C   sj   dD ]\}|  ||}t|}z| t|d| W n& tk
rX } z|}W 5 d }~X Y qX  d S q|d S )N)r2          r	   )r1   r3   ZassertGreaterr4   AssertionError)r   r+   r,   r.   r5   eZfailurer   r   r   check_gil_releasedb   s    z!TestGILRelease.check_gil_releasedc                 C   s   t tddt}| | dS )zu
        Test the GIL is held by default, by checking serialized runs
        produce deterministic results.
        TnopythonNr   f_sigr   r6   r   cfuncr   r   r   test_gil_heldp   s    zTestGILRelease.test_gil_heldc                 C   s    t tdddt}| | dS )zj
        Test releasing the GIL, by checking parallel runs produce
        unpredictable results.
        Tr=   nogilNr   r?   r   r;   r@   r   r   r   test_gil_releasedx   s    z TestGILRelease.test_gil_releasedc                 C   s   t tddt}| | dS )zz
        Test the GIL can by released by a lifted loop even though the
        surrounding code uses object mode.
        TrD   N)r   r?   r   r;   r@   r   r   r   $test_gil_released_inside_lifted_loop   s    z3TestGILRelease.test_gil_released_inside_lifted_loopc                    s8   t tddt t tddd fdd}| | dS )zh
        Releasing the GIL in the caller is sufficient to have it
        released in a callee.
        Tr<   rC   c                    s    | | d S Nr   r   r/   Z
compiled_fr   r   caller   s    z:TestGILRelease.test_gil_released_by_caller.<locals>.callerNrE   r   rL   r   rK   r   test_gil_released_by_caller   s    z*TestGILRelease.test_gil_released_by_callerc                    s:   t tdddt t tddd fdd}| | dS )zR
        Same, but with both caller and callee asking to release the GIL.
        TrC   c                    s    | | d S rI   r   rJ   rK   r   r   rL      s    zETestGILRelease.test_gil_released_by_caller_and_callee.<locals>.callerNrE   rM   r   rK   r   &test_gil_released_by_caller_and_callee   s    z5TestGILRelease.test_gil_released_by_caller_and_calleec                    s8   t tdddt t tdd fdd}| | dS )zP
        When only the callee asks to release the GIL, it gets ignored.
        TrC   r<   c                    s    | | d S rI   r   rJ   rK   r   r   rL      s    z9TestGILRelease.test_gil_ignored_by_callee.<locals>.callerNr>   rM   r   rK   r   test_gil_ignored_by_callee   s    
z)TestGILRelease.test_gil_ignored_by_calleec              	   C   s`   t jdd$}t dtj ttddt}W 5 Q R X | t	dd |D | | 
|d dS )	za
        When the function is compiled in object mode, a warning is
        printed out.
        T)recordalwaysrG   c                 s   s(   | ] }|j tjkod t|jkV  qdS )z:Code running in object mode won't allow parallel executionN)categoryr   NumbaWarningstrmessage).0wr   r   r   	<genexpr>   s   z2TestGILRelease.test_object_mode.<locals>.<genexpr>   N)warningscatch_warningssimplefilterr   rT   r   r?   r   Z
assertTrueanyr1   )r   ZwlistrA   r   r   r   test_object_mode   s    zTestGILRelease.test_object_modeN)__name__
__module____qualname__r   r1   r6   r;   rB   rF   rH   rN   rO   rP   r_   r   r   r   r   r   D   s   

r   __main__)+ctypesctypes.utilossysr&   r[   numpyr   ZunittestZnumba.core.compilerr   r   Znumbar   Z
numba.corer   Znumba.tests.supportr   r   Z	pythonapir   Zc_longrestypeZargtypesnamewindllkernel32ZSleepr   Zc_uintr   CDLLutilfind_libraryZusleepZc_intr   r?   r   r   r   r`   mainr   r   r   r   <module>   s<   





r
