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A wrapper around Python's multiprocessing, providing support for tqdm progress bars and shared arguments

Project description

A wrapper around Python’s multiprocessing, providing support for tqdm progress bars and shared arguments.

Provides simple, familiar interface with addiitonal superpowers.


pip install enhanced_multiprocessing

Example 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]


Originally published at kn-bibs/pathways-analysis, then further developed for krassowski/drug-disease-profile-matching.

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