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✏️ Mengedit: parallel.cpython-39.opt-1.pyc
a �lj| � @ s\ d Z ddgZddlmZ ddlmZ ddlmZ ddlmZ ddl mZmZm Z mZmZ ddlmZ eejej f Zed �Zed �ZzddlZW n ey� dZY n0 d ZdZeee e d�dd��Zdeegef ee ee e d�dd�Zdeegef ee ee e d�dd�Zdeegef ee ee e d�dd�Ze�rPe ZZneZeZdS )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��pool)�Callable�Iterable�Iterator�TypeVar�Union)�DEFAULT_POOLSIZE�S�TNTFi�� )r �returnc 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�closing. s �r � )�func�iterable� chunksizer 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. )�map)r r r r r r � _map_fallback; s r c C s<