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Python中统计函数运行耗时的方法

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Release: 2016-06-10 15:13:15
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本文实例讲述了Python中统计函数运行耗时的方法。分享给大家供大家参考。具体实现方法如下:

import time
def time_me(fn):
  def _wrapper(*args, **kwargs):
    start = time.clock()
    fn(*args, **kwargs)
    print "%s cost %s second"%(fn.__name__, time.clock() - start)
  return _wrapper
#这个装饰器可以在方便地统计函数运行的耗时。
#用来分析脚本的性能是最好不过了。
#这样用:
@time_me
def test(x, y):
  time.sleep(0.1)
@time_me
def test2(x):
  time.sleep(0.2)
test(1, 2)
test2(2)
#输出:
#test cost 0.1001529524 second
#test2 cost 0.199968431742 second
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另一个更高级一点的版本是:

import time
import functools
def time_me(info="used"):
  def _time_me(fn):
    @functools.wraps(fn)
    def _wrapper(*args, **kwargs):
      start = time.clock()
      fn(*args, **kwargs)
      print "%s %s %s"%(fn.__name__, info, time.clock() - start), "second"
    return _wrapper
  return _time_me
@time_me()
def test(x, y):
  time.sleep(0.1)
@time_me("cost")
def test2(x):
  time.sleep(0.2)
test(1, 2)
test2(2)
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希望本文所述对大家的Python程序设计有所帮助。

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