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Edit File: parallel.cpython-39.pyc
a ?�fL � @ s$ d Z ddgZddlmZ ddlmZ ddlmZ ddl m Z ddl m Z ddl mZ dd lmZ er�dd lmZmZmZmZmZ dd lmZ eejejf Zed �Zed �Zz ddlZW n ey� dZ Y n0 dZ dZ edd� �Z ddd�Z d dd�Z d dd�Z!e �se �re Z"Z#ne Z"e!Z#dS ) ab Convenient parallelization of higher order functions. This module provides two helper functions, with appropriate fallbacks on Python 2 and on systems lacking support for synchronization mechanisms: - map_multiprocess - map_multithread These helpers work like Python 3's map, with two differences: - They don't guarantee the order of processing of the elements of the iterable. - The underlying process/thread pools chop the iterable into a number of chunks, so that for very long iterables using a large value for chunksize can make the job complete much faster than using the default value of 1. �map_multiprocess�map_multithread� )�contextmanager)�Pool)�DEFAULT_POOLSIZE)�PY2��map)�MYPY_CHECK_RUNNING)�Callable�Iterable�Iterator�Union�TypeVar��pool�S�TNTFi�� c c sB z"| V W | � � | �� | �� n| � � | �� | �� 0 dS )z>Return a context manager making sure the pool closes properly.N)�close�joinZ terminater � r �@/usr/lib/python3.9/site-packages/pip/_internal/utils/parallel.py�closing4 s �r � c C s t | |�S )z�Make an iterator applying func to each element in iterable. This function is the sequential fallback either on Python 2 where Pool.imap* doesn't react to KeyboardInterrupt or when sem_open is unavailable. r )�func�iterable� chunksizer r r � _map_fallbackB s r c C s< t t� �� }|�| ||�W d � S 1 s.0 Y dS )z�Chop iterable into chunks and submit them to a process pool. For very long iterables using a large value for chunksize can make the job complete much faster than using the default value of 1. Return an unordered iterator of the results. N)r � ProcessPool�imap_unordered�r r r r r r r �_map_multiprocessM s r! c C s> t tt��� }|�| ||�W d � S 1 s00 Y dS )z�Chop iterable into chunks and submit them to a thread pool. For very long iterables using a large value for chunksize can make the job complete much faster than using the default value of 1. Return an unordered iterator of the results. N)r � ThreadPoolr r r r r r �_map_multithreadZ s r# )r )r )r )$�__doc__�__all__� contextlibr Zmultiprocessingr r Zmultiprocessing.dummyr" Z pip._vendor.requests.adaptersr Zpip._vendor.sixr Zpip._vendor.six.movesr Zpip._internal.utils.typingr �typingr r r r r r r r Zmultiprocessing.synchronize� ImportErrorZ LACK_SEM_OPENZTIMEOUTr r r! r# r r r r r r �<module> s:
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