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Example of concurrent processusing Python builtin library(example modified from example in Python docs)
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#!/usr/bin/env python | |
import os | |
from concurrent.futures import ProcessPoolExecutor | |
import math | |
import time | |
PRIMES = [ | |
112272535095293, | |
112582705942171, | |
112272535095293, | |
115280095190773, | |
115797848077099, | |
1099726899285419] | |
def is_prime(n): | |
if n % 2 == 0: | |
return False | |
sqrt_n = int(math.floor(math.sqrt(n))) | |
for i in range(3, sqrt_n + 1, 2): | |
if n % i == 0: | |
return False | |
return True | |
def time_taken(func): | |
def wrapper(): | |
start = time.time() | |
func() | |
stop = time.time() | |
return (stop - start) | |
return wrapper | |
@time_taken | |
def main(): | |
with ProcessPoolExecutor() as executor: | |
for number, prime in zip(PRIMES, executor.map(is_prime, PRIMES)): | |
print('%d is prime: %s' % (number, prime)) | |
@time_taken | |
def main2(): | |
for number in PRIMES: | |
prime = is_prime(number) | |
print('%d is prime: %s' % (number, prime)) | |
if __name__ == '__main__': | |
start = time.time() | |
span1 = main() | |
span2 = main2() | |
print('1st: %.4f' % span1) | |
print('2nd: %.4f' % span2) | |
pct_savings = (span2 - span1) / span2 | |
print('SAVING: %.3f' % (pct_savings * 100)) | |
print('CPU count: %d' % os.cpu_count()) |
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