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In the Python multiprocessing
library, is there a variant of pool.map
which supports multiple arguments?
text = "test"
def harvester(text, case):
X = case[0]
text+ str(X)
if __name__ == "__main__":
pool = multiprocessing.Pool(processes=6)
case = RAW_DATASET
pool.map(harvester(text,case),case, 1)
pool.close()
pool.join()
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Massachussetts | 2023-03-29
Simply put and clear. Thank you for sharing. How to use multiprocessing pool.map with multiple arguments? and other issues with multiprocessing Python module was always my weak point 😁. I just hope that will not emerge anymore
Milan | 2023-03-29
Maybe there are another answers? What How to use multiprocessing pool.map with multiple arguments? exactly means?. Will get back tomorrow with feedback
San Francisco | 2023-03-29
Maybe there are another answers? What How to use multiprocessing pool.map with multiple arguments? exactly means?. I am just not quite sure it is the best method