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✏️ Editing: parallel.cpython-36.pyc

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r����dZY�nX�dZdZedd���Zddd�Zddd�Z ddd�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.
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|�V��W�d|�j����|�j���|�j���X�dS�)z>Return a context manager making sure the pool closes properly.N)�close�join�	terminate)r�����r�����/builddir/build/BUILDROOT/alt-python36-pip-20.2.4-5.el8.x86_64/opt/alt/python36/lib/python3.6/site-packages/pip/_internal/utils/parallel.py�closing4���s
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���t�|�|�S�)z�Make an iterator applying func to each element in iterable.

This function is the sequential fallback either on Python 2
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_map_fallbackB���s����r���c�������������C���s$���t�t����}|j|�||�S�Q�R�X�dS�)z�Chop iterable into chunks and submit them to a process pool.

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