小甲鱼老师，我有个问题：使用timeit模块测量小段代码的执行时间，特别是对多行代码的时候，使用“”“多行代码”“”这种方式赋值stmt，相比于使用setup和globals设置命名空间的测量时间都小。这是为什么，同样的代码测量的执行时间却大不一样！代码如下所示>>> s = """
class A:
def func1(self):
for x in range(100):
self.count += x
return self.count
def __init__(self):
self.count = 0
a = A()
a.func1()
"""
>>> timeit.timeit(stmt=s, number=100000)
2.182303924016196
>>> a
<__main__.A object at 0x03207D70>
>>> timeit.timeit(stmt = "func1()", setup = 'from __main__ import func1 ')
4.584396307330735
>>> timeit.timeit(stmt = "func1()", setup = 'from __main__ import func1 ')
4.5826148827454745
>>> repeat(stmt = "func1()", setup = 'from __main__ import func1 ')
Traceback (most recent call last):
File "<pyshell#83>", line 1, in <module>
repeat(stmt = "func1()", setup = 'from __main__ import func1 ')
NameError: name 'repeat' is not defined
>>> timeit.repeat(stmt = "func1()", setup = 'from __main__ import func1 ')
[4.566492185809238, 4.564154308761772, 4.560875233704792]
>>> timeit('a.func1()',globals = globals())
Traceback (most recent call last):
File "<pyshell#85>", line 1, in <module>
timeit('a.func1()',globals = globals())
TypeError: 'module' object is not callable
>>> a
<__main__.A object at 0x03207D70>
>>> a.func1()
14850
>>> timeit.timeit('a.func1()',globals = globals())
14.001687110608145
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狗仔卡
发表于 2018-4-26 20:55:19
显身卡
发表于 2018-4-27 10:44:15
