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File: //opt/alt/python27/lib/python2.7/site-packages/pip/_internal/utils/parallel.pyc
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reZnXeZdZed��Z dd�Z!dd�Z"dd�Z#esferse!Z$Z%ne"Z$e#Z%dS(sbConvenient 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(s�Make an iterator applying func to each element in iterable.

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((s�/builddir/build/BUILDROOT/alt-python27-pip-20.2.4-5.el9.x86_64/opt/alt/python27/lib/python2.7/site-packages/pip/_internal/utils/parallel.pyt_map_multiprocessMs	cCs2ttt���}|j|||�SWdQXdS(s�Chop iterable into chunks and submit them to a thread pool.

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ThreadPoolRR(RRRR
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contextlibRtmultiprocessingRRtmultiprocessing.dummyRtpip._vendor.requests.adaptersRtpip._vendor.sixRtpip._vendor.six.movesRtpip._internal.utils.typingRttypingRR	R
RRR
RRtmultiprocessing.synchronizetImportErrortTruet
LACK_SEM_OPENtFalsetTIMEOUTRRRRRR(((s�/builddir/build/BUILDROOT/alt-python27-pip-20.2.4-5.el9.x86_64/opt/alt/python27/lib/python2.7/site-packages/pip/_internal/utils/parallel.pyt<module>s8(





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