Python中的时序模块化指数:语法与函数

Fab*_*ano 4 python python-2.7 python-3.x

在Python中,如果内置pow()函数与3个参数一起使用,则最后一个用作取幂的模数,从而产生模幂运算操作.

换句话说,pow(x, y, z)相当于(x ** y) % z,但相应的Python帮助,pow()可能更有效.

当我计算两个版本时,我得到了相反的结果,pow()版本似乎比等效语法慢:

Python 2.7:

>>> import sys
>>> print sys.version
2.7.11 (default, May  2 2016, 12:45:05) 
[GCC 4.9.3]
>>> 
>>> help(pow)

Help on built-in function pow in module __builtin__:  <F2> Show Source 

pow(...)
    pow(x, y[, z]) -> number

    With two arguments, equivalent to x**y.  With three arguments,
    equivalent to (x**y) % z, but may be more efficient (e.g. for longs).

>>> 
>>> import timeit
>>> st_expmod = '( 65537 ** 767587 ) % 14971787'
>>> st_pow    = 'pow(65537, 767587, 14971787)'
>>> 
>>> timeit.timeit(st_expmod)
0.016651153564453125
>>> timeit.timeit(st_expmod)
0.016621112823486328
>>> timeit.timeit(st_expmod)
0.016611099243164062
>>> 
>>> timeit.timeit(st_pow)
0.8393168449401855
>>> timeit.timeit(st_pow)
0.8449611663818359
>>> timeit.timeit(st_pow)
0.8767969608306885
>>> 
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Python 3.4:

>>> import sys
>>> print(sys.version)
3.4.3 (default, May  2 2016, 12:47:35) 
[GCC 4.9.3]
>>> 
>>> help(pow)

Help on built-in function pow in module builtins:

pow(...)
    pow(x, y[, z]) -> number

    With two arguments, equivalent to x**y.  With three arguments,
    equivalent to (x**y) % z, but may be more efficient (e.g. for ints).

>>> 
>>> import timeit
>>> st_expmod = '( 65537 ** 767587 ) % 14971787'
>>> st_pow    = 'pow(65537, 767587, 14971787)'
>>> 
>>> timeit.timeit(st_expmod)
0.014722830994287506
>>> timeit.timeit(st_expmod)
0.01443593599833548
>>> timeit.timeit(st_expmod)
0.01485627400688827
>>> 
>>> timeit.timeit(st_pow)
3.3412855619972106
>>> timeit.timeit(st_pow)
3.2800855879904702
>>> timeit.timeit(st_pow)
3.323372773011215
>>>
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Python 3.5:

>>> import sys
>>> print(sys.version)
3.5.1 (default, May  2 2016, 14:34:13) 
[GCC 4.9.3
>>> 
>>> help(pow)

Help on built-in function pow in module builtins:

pow(x, y, z=None, /)
    Equivalent to x**y (with two arguments) or x**y % z (with three arguments)

    Some types, such as ints, are able to use a more efficient algorithm when
    invoked using the three argument form.

>>> 
>>> import timeit
>>> st_expmod = '( 65537 ** 767587 ) % 14971787'
>>> st_pow    = 'pow(65537, 767587, 14971787)'
>>> 
>>> timeit.timeit(st_expmod)
0.014827249979134649
>>> timeit.timeit(st_expmod)
0.014763347018742934
>>> timeit.timeit(st_expmod)
0.014756042015505955
>>> 
>>> timeit.timeit(st_pow)
3.6817933860002086
>>> timeit.timeit(st_pow)
3.6238356370013207
>>> timeit.timeit(st_pow)
3.7061628740048036
>>> 
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以上数字的解释是什么?


编辑:

在答案之后我看到在st_expmod版本中,计算没有在运行时执行,而是由解析器和表达式变成常量..

使用Python2中@ user2357112建议的修复:

>>> timeit.timeit('(a**b) % c', setup='a=65537; b=767587; c=14971787', number=150)
370.9698350429535
>>> timeit.timeit('pow(a, b, c)', setup='a=65537; b=767587; c=14971787', number=150)
0.00013303756713867188
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use*_*ica 7

你实际上**并没有使用和计算计算%,因为结果由字节码编译器进行常量折叠.避免:

timeit.timeit('(a**b) % c', setup='a=65537; b=767587; c=14971787')
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pow版本将赢得胜利.