### METHOD1
from tqdm.contrib.concurrent import process_map,thread_map
fund_matrices = process_map(get_F_matrix, points, max_workers=10)
fund_matrices = thread_map(get_F_matrix, points, max_workers=4)
### METHOD2
from multiprocessing import Pool
# from multiprocessing.pool import ThreadPool as Pool # use this if you are pooling in class https://stackoverflow.com/questions/8804830/python-multiprocessing-picklingerror-cant-pickle-type-function
import os
def process_image(name):
print(name)
return
if __name__ == '__main__':
data_inputs = ['a','b','c']
pool = Pool(os.cpu_count()) # Create a multiprocessing Pool
try:
pool.map(process_image, data_inputs) # process data_inputs iterable with pool
finally: # To make sure processes are closed in the end, even if errors happen
pool.close()
pool.join()