o
    iN                     @   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
 d dlmZ d dlmZmZmZ e jjZe je_g e_ejdkrVe 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$dd Z%G dd deZ&e'dkre(  dS dS )    N)jit)errors)TestCasetagskip_if_freethreadingnt   ci  c                 C   s$   |D ]}t dt  t | |< qd S )N
   )sleepsleep_factorPyThread_get_thread_identaindicesidx r   R/home/ubuntu/transcripts/venv/lib/python3.10/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_f8   s
   r   c                   @   sl   e Zd Zdd Zdd Zdd Zdd Zed	d
 Zdd Z	dd Z
dd Zdd Zedd Zdd ZdS )TestGILReleasec                 C   s   t j|t jdS )Ndtype)nparangeint64)self	n_membersr   r   r   make_test_arrayE   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}|
| q|D ]}|  q;|D ]}|  qD|S )Nr   r   2   )targetargs)r    r   r   intprangesizerandomshuffle	threadingThreadappendstartjoin)r   func	n_threadsthreadsarrir   tr   r   r   run_in_threadsH   s   


zTestGILRelease.run_in_threadsc                 C   s,   | j |dd}t|}| t|d| d S )N   )r/   r   )r4   setassertEquallen)r   r.   r1   distinctr   r   r   check_gil_held\   s   zTestGILRelease.check_gil_heldc                 C   sd   dD ]-}|  ||}t|}z| t|d| W  d S  ty/ } z|}W Y d }~qd }~ww |)N)r5          r   )r4   r6   assertGreaterr8   AssertionError)r   r.   r/   r1   r9   efailurer   r   r   check_gil_releaseda   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   r:   r   cfuncr   r   r   test_gil_heldo   s   zTestGILRelease.test_gil_heldc                 C       t tdddt}| | dS )zj
        Test releasing the GIL, by checking parallel runs produce
        unpredictable results.
        TrC   nogilNr   rE   r   rA   rF   r   r   r   test_gil_releasedx      z TestGILRelease.test_gil_releasedc                 C   rI   )zz
        Test the GIL can by released by a lifted loop even though the
        surrounding code uses object mode.
        TforceobjrK   N)r   rE   r   rA   rF   r   r   r   $test_gil_released_inside_lifted_loop   rN   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.
        TrB   rJ   c                        | | d S Nr   r   r2   
compiled_fr   r   caller      z:TestGILRelease.test_gil_released_by_caller.<locals>.callerNrL   r   rW   r   rU   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.
        TrJ   c                    rR   rS   r   rT   rU   r   r   rW      rX   zETestGILRelease.test_gil_released_by_caller_and_callee.<locals>.callerNrL   rY   r   rU   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.
        TrJ   rB   c                    rR   rS   r   rT   rU   r   r   rW      rX   z9TestGILRelease.test_gil_ignored_by_callee.<locals>.callerNrD   rY   r   rU   r   test_gil_ignored_by_callee   s   
z)TestGILRelease.test_gil_ignored_by_calleec                 C   sv   t jdd}t dtj ttdddt}W d   n1 s!w   Y  | t	dd |D | | 
|d dS )	za
        When the function is compiled in object mode, a warning is
        printed out.
        T)recordalwaysrO   Nc                 s   s*    | ]}|j tju od t|jv 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>   )warningscatch_warningssimplefilterr   r`   r   rE   r   
assertTrueanyr4   )r   wlistrG   r   r   r   test_object_mode   s   zTestGILRelease.test_object_modeN)__name__
__module____qualname__r    r4   r:   rA   r   rH   rM   rQ   rZ   r[   r\   rm   r   r   r   r   r   C   s    



r   __main__))ctypesctypes.utilossysr)   rg   numpyr   unittestnumbar   
numba.corer   numba.tests.supportr   r   r   	pythonapir   c_longrestypeargtypesnamewindllkernel32Sleepr   c_uintr   CDLLutilfind_libraryusleepc_intr   rE   r   r   r   rn   mainr   r   r   r   <module>   s>    





t