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✏️ Editing: parallel.cpython-310.pyc

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e�fdd�Zer�e�ZZdS�eZeZdS�)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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���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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	r���c�����������������C���s<���t�t����}|�|�||�W��d����S�1�sw���Y��dS�)z�Chop iterable into chunks and submit them to a process pool.

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Return an unordered iterator of the results.
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$�r ���c�����������������C���s>���t�tt���}|�|�||�W��d����S�1�sw���Y��dS�)z�Chop iterable into chunks and submit them to a thread pool.

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