parallelizing jobs in python

 import time
from concurrent.futures import ThreadPoolExecutor, wait
import numpy as np
 
def work(aa, bb):
    time.sleep(np.random.rand())
    print(f"working on {aa}, {bb}")
    return aa + bb
 
with ThreadPoolExecutor(8) as executor:
    # futures = []
    # for ii in range(33):
    #     futures.append(
    #         executor.submit(work, ii, ii+1)
    #     )
    futures = [executor.submit(work, ii, ii+1) for ii in range(33)]
    wait(futures)
    print("++++++++++++++++++++++++++++++")
    for fut in futures:
        print(fut.result())
 
    print("all done.")

posted on 2023-05-24 01:05 yusisc 阅读(7) 评论(0) 编辑收藏举报

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阅读排行榜

	import time
	from concurrent.futures import ThreadPoolExecutor, wait
	import numpy as np

	def work(aa, bb):
	time.sleep(np.random.rand())
	print(f"working on {aa}, {bb}")
	return aa + bb

	with ThreadPoolExecutor(8) as executor:
	# futures = []
	# for ii in range(33):
	# futures.append(
	# executor.submit(work, ii, ii+1)
	# )
	futures = [executor.submit(work, ii, ii+1) for ii in range(33)]
	wait(futures)
	print("++++++++++++++++++++++++++++++")
	for fut in futures:
	print(fut.result())

	print("all done.")