How to use init_worker method in Molotov

Best Python code snippet using molotov_python

popen_helper.py

Source: popen_helper.py Github

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1# Copyright 2021 The TensorFlow Authors. All Rights Reserved.2#3# Licensed under the Apache License, Version 2.0 (the "License");4# you may not use this file except in compliance with the License.5# You may obtain a copy of the License at6#7# http:/​/​www.apache.org/​licenses/​LICENSE-2.08#9# Unless required by applicable law or agreed to in writing, software10# distributed under the License is distributed on an "AS IS" BASIS,11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.12# See the License for the specific language governing permissions and13# limitations under the License.14"""Helper file for running the async data generation process in OSS."""15import contextlib16import multiprocessing17import multiprocessing.pool18def get_forkpool(num_workers, init_worker=None, closing=True):19 pool = multiprocessing.Pool(processes=num_workers, initializer=init_worker)20 return contextlib.closing(pool) if closing else pool21def get_threadpool(num_workers, init_worker=None, closing=True):22 pool = multiprocessing.pool.ThreadPool(processes=num_workers,23 initializer=init_worker)24 return contextlib.closing(pool) if closing else pool25class FauxPool(object):26 """Mimic a pool using for loops.27 This class is used in place of proper pools when true determinism is desired28 for testing or debugging.29 """30 def __init__(self, *args, **kwargs):31 pass32 def map(self, func, iterable, chunksize=None):33 return [func(i) for i in iterable]34 def imap(self, func, iterable, chunksize=1):35 for i in iterable:36 yield func(i)37 def close(self):38 pass39 def terminate(self):40 pass41 def join(self):42 pass43def get_fauxpool(num_workers, init_worker=None, closing=True):44 pool = FauxPool(processes=num_workers, initializer=init_worker)45 return contextlib.closing(pool) if closing else pool46def worker_job():...

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