本文实例讲述了python实现在每个独立进程中运行一个函数的方法。分享给大家供大家参考。具体分析如下：
这个简单的函数可以同于在单独的进程中运行另外一个函数，这对于释放内存资源非常有用
#!/usr/bin/env python from __future__ import with_statement import os, cPickle def run_in_separate_process(func, *args, **kwds): pread, pwrite = os.pipe() pid = os.fork() if pid > 0: os.close(pwrite) with os.fdopen(pread, 'rb') as f: status, result = cPickle.load(f) os.waitpid(pid, 0) if status == 0: return result else: raise result else: os.close(pread) try: result = func(*args, **kwds) status = 0 except Exception, exc: result = exc status = 1 with os.fdopen(pwrite, 'wb') as f: try: cPickle.dump((status,result), f, cPickle.HIGHEST_PROTOCOL) except cPickle.PicklingError, exc: cPickle.dump((2,exc), f, cPickle.HIGHEST_PROTOCOL) os._exit(0) #an example of use def treble(x): return 3 * x def main(): #calling directly print treble(4) #calling in separate process print run_in_separate_process(treble, 4)
希望本文所述对大家的Python程序设计有所帮助。
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