A wrapper around Python’s multiprocessing, providing support for tqdm progress bars and shared arguments.
Provides simple, familiar interface with addiitonal superpowers.
Installation
pip install enhanced_multiprocessingExample usage
from enhanced_multiprocessing import Pool
def add_n(x, n):
return x + n
# the number of processes will be set to number of cores - 1 by default
p = Pool()
# will apply add_n to the element list of length three with n=5, showing a nice progress bar along
result = p.imap(add_n, [1, 2, 3], shared_args=(5, ))
assert list(result) == [6, 7, 8]History
Originally published at kn-bibs/pathways-analysis, then further developed for krassowski/drug-disease-profile-matching.
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twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.2
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