python如何并行执行两个函数_如何并行运行具有不同参数的相同函数的N个线程？ – Python...

from threading import Thread

from Queue import Queue

def func1(x):

return [i*i for i in x]

nums1 = [1,2,3,4,5]; nums2 = [112,32,53,64,25]

def wrapper(func, arg, queue):

queue.put(func(arg))

q1, q2 = Queue(), Queue()

Thread(target=wrapper, args=(func1, nums1, q1)).start()

Thread(target=wrapper, args=(func1, nums2, q2)).start()

print q1.get(), q2.get()

如何并行运行具有不同参数的相同函数的N个线程？

目前,我很难编码和做：

nums1 = [1,2,3,4,5]; nums2 = [112,32,53,64,25]

nums3 = [11,522,33,467,85]; nums4 = [12,2,5,4,1125]

q1, q2, q3, q4 = Queue(), Queue(), Queue(), Queue()

Thread(target=wrapper, args=(func1, nums1, q1)).start()

Thread(target=wrapper, args=(func1, nums2, q2)).start()

Thread(target=wrapper, args=(func1, nums3, q3)).start()

Thread(target=wrapper, args=(func1, nums4, q4)).start()

print q1.get(), q2.get(), q3.get()

解决方法:

队列是线程安全的.所以你应该能够逃脱两个队列,在所有线程之间共享：

from threading import Thread

from multiprocessing import Queue

def func1(x):

return [i*i for i in x]

nums = [1,2,3,4,5,112,32,53,64,25]

def wrapper(func, qIn, qOut):

for arg in iter(qIn.get, None):

qOut.put(func(arg))

qIn, qOut = Queue(), Queue()

chunksize = len(nums)/numThreads

for i in xrange(numThreads):

qIn.put(nums[i*chunksize : (i+1)*chunksize])

numThreads = 2 # or N

for _ in xrange(numThreads):

qIn.put(None)

for _ in xrange(numThreads):

Thread(target=wrapper, args=(func1, qIn, qOut)).start()

for _ in xrange(numThreads):

print qOut.get()

标签：python,multithreading,parallel-processing,queue,threadpool

来源： https://codeday.me/bug/20190629/1322587.html