使用ProcessPoolExecutorfromconcurrent.futuresimportProcessPoolExecutor,as_completedimportrandom斐波那契数列当n
使用 ProcessPoolExecutor
from concurrent.futures import ProcessPoolExecutor, as_completed
import random斐波那契数列
当 n 大于 30 时抛出异常
def fib(n):
if n > 30:
raise Exception('can not > 30, now %s' % n)
if n <= 2:
return 1
return fib(n-1) + fib(n-2)准备数组
nums = [random.randint(0, 33) for _ in range(0, 10)]
'''
[13, 17, 0, 22, 19, 33, 7, 12, 8, 16]
'''
方案一：submit
submit 输出结果按照子进程执行结束的先后顺序，不可控
with ProcessPoolExecutor(max_workers=3) as executor:
futures = {executor.submit(fib, n):n for n in nums}
for f in as_completed(futures):
try:
print('fib(%s) result is %s.' % (futures[f], f.result()))
except Exception as e:
print(e)
'''
fib(13) result is 233.
fib(17) result is 1597.
fib(0) result is 1.
fib(22) result is 17711.
fib(19) result is 4181.
can not > 30, now 33
fib(7) result is 13.
fib(12) result is 144.
fib(8) result is 21.
fib(16) result is 987.
'''等价写法：
with ProcessPoolExecutor(max_workers=3) as executor:
futures = {}
for n in nums:
job = executor.submit(fib, n)
futures[job] = n
for job in as_completed(futures):
try:
re = job.result()
n = futures[job]
print('fib(%s) result is %s.' % (n, re))
except Exception as e:
print(e)
'''
fib(13) result is 233.
fib(17) result is 1597.
fib(0) result is 1.
fib(22) result is 17711.
can not > 30, now 33
fib(7) result is 13.
fib(19) result is 4181.
fib(8) result is 21.
fib(12) result is 144.
fib(16) result is 987.
'''方案二：map
map 输出结果按照输入数组的顺序
缺点：某一子进程异常会导致整体中断
with ProcessPoolExecutor(max_workers=3) as executor:
try:
results = executor.map(fib, nums)
for num, result in zip(nums, results):
print('fib(%s) result is %s.' % (num, result))
except Exception as e:
print(e)
'''
fib(13) result is 233.
fib(17) result is 1597.
fib(0) result is 1.
fib(22) result is 17711.
fib(19) result is 4181.
can not > 30, now 33
'''以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持脚本之家。
python ProcessPoolExecutor python 多进程并行