在Python中并行处理不同参数的函数

Process a function on different arguments in parallel in Python

这是我要并行运行printrange()的简单代码：

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def printRange(lrange):
print ("First is" + str(lrange[0]) +" and last is" + str(lrange[1]))

def runInParallel():
ranges = [[0, 10], [10, 20], [20, 30]]
// Call printRange in parallel with each sublist of ranges given as argument

我的问题不同于这个问题，所以在这里，每个过程都是硬编码的，开始的，最后加入的。我想将printrange()与其他100个printrange()工作函数并行运行。每次硬编码都是不可行的。怎么能做到？

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使用多处理

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from multiprocessing import Pool

def print_range(lrange):
print('First is {} and last is {}'.format(lrange[0], lrange[1]))

def run_in_parallel():
ranges = [[0, 10], [10, 20], [20, 30]]
pool = Pool(processes=len(ranges))
pool.map(print_range, ranges)

if __name__ == '__main__':
run_in_parallel()

号

输出：

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First is 0 and last is 10
First is 10 and last is 20
First is 20 and last is 30

像这样？

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import threading

def printRange(lrange):
print ("First is" + str(lrange[0]) +" and last is" + str(lrange[1]))

def runInParallel():
ranges = [[0, 10], [10, 20], [20, 30]]
for i in ranges:
t = threading.Thread(target=printRange, args = [i])
t.start()

runInParallel()