Different ways to check the time cost!

time_profile.py

#! /usr/bin/env python
# -*- coding: utf-8 -*-
# @Last Modified time: 2016-06-13 20:00:34
orignal_str = "Profiling a Python program is doing a dynamic analysis"\
    "that measures the execution time of the program and"\
    "everything that compose it."
exec_times = 100000


# @profile
def slowest_replace():
    replace_list = []
    for i, char in enumerate(orignal_str):
        c = char if char != " " else "-"
        replace_list.append(c)
    return "".join(replace_list)


# @profile
def slow_replace():
    replace_str = ""
    for i, char in enumerate(orignal_str):
        c = char if char != " " else "-"
        replace_str += c
    return replace_str


def fast_replace():
    return "-".join(orignal_str.split())


def fastest_replace():
    return orignal_str.replace(" ", "-")


def test_equal():
    return slow_replace() == fast_replace() == fastest_replace() == slowest_replace()


def _time_analyze_(func):
    from time import clock
    start = clock()
    for i in range(exec_times):
        func()
    finish = clock()
    print "{:<20}{:10.6} s".format(func.__name__ + ":", finish - start)


def simple_profile():
    print "*" * 40, "\nSimple time analyze"
    for fun in [slowest_replace, slow_replace, fast_replace, fastest_replace]:
        _time_analyze_(fun)


def _timeit_analyze_(func):
    from timeit import Timer
    t1 = Timer("%s()" % func.__name__, "from __main__ import %s" % func.__name__)
    print "{:<20}{:10.6} s".format(func.__name__ + ":", t1.timeit(exec_times))


def timeit_profile():
    print "*" * 40, "\nModule timeit analyze"
    for fun in [slowest_replace, slow_replace, fast_replace, fastest_replace]:
        _timeit_analyze_(fun)


if __name__ == "__main__":
    assert(test_equal())
    simple_profile()
    timeit_profile()