o Ai @sdZddgZddlmZddlmZddlmZddlmZ ddl m Z m Z m Z mZmZddlmZeejej fZed Zed Zzdd lZWn eySd ZYnwd ZdZeddZdddZdddZdddZerueZZd SeZeZd S)abConvenient 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_multiprocessmap_multithread)contextmanager)Poolpool)CallableIterableIteratorTypeVarUnion)DEFAULT_POOLSIZESTNTFiccsBz|VW|||dS|||w)z>Return a context manager making sure the pool closes properly.N)closejoin terminaterro/home/www/bk.finsightngr.online/finsigh_v2/venv200/lib/python3.10/site-packages/pip/_internal/utils/parallel.pyclosing.s  rcCs t||S)zMake 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)funciterable chunksizerrr _map_fallback<s rcCs<tt}||||WdS1swYdS)zChop 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 ProcessPoolimap_unorderedrrrrrrr_map_multiprocessGs $rcCs>ttt}||||WdS1swYdS)zChop 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 rrrrr_map_multithreadTs $r!)r)__doc____all__ contextlibrmultiprocessingrrrZmultiprocessing.dummyr typingrr r r r Zpip._vendor.requests.adaptersr rrZmultiprocessing.synchronize ImportErrorZ LACK_SEM_OPENTIMEOUTrrrr!rrrrrrs6