zyf-timer

安装

pip install zyf_timer

或者

pip install zyf_timer -i https://pypi.python.org/simple

使用

函数计时

示例1：timeit

from zyf import timeit

@timeit
def sleep(seconds: int):
    time.sleep(seconds)

运行

>> sleep(1)
Function sleep -> takes 1.001 seconds

示例2：repeat_timeit

from zyf import repeat_timeit

@repeat_timeit(number=5)
def list_insert_time_test():
    l = []
    for i in range(10000):
        l.insert(0, i)


@repeat_timeit(repeat=3, number=5)
def list_append_time_test():
    l = []
    for i in range(1000000):
        l.append(i)
    return l


@repeat_timeit(number=5, print_detail=True)
def list_gen_time_test():
    l = [i for i in range(1000000)]
    return l


@repeat_timeit(repeat=3, number=5, print_detail=True)
def list_extend_time_test():
    l = []
    for i in range(1000000):
        l.extend([i])


@repeat_timeit(repeat=3, number=5, print_detail=True, print_table=True)
def list_range_time_test():
    l = list(range(1000000))

运行

>> list_insert_time_test()
Function list_insert_time_test -> 5 function calls: average takes 0.097 seconds

>> list_append_time_test()
Function list_append_time_test -> 3 trials with 5 function calls per trial: average trial 3.269 seconds. average function call 0.654 seconds

>> list_gen_time_test()
Time Spend of 5 function calls:
	Function -> list_gen_time_test: total 1.550 seconds, average 0.310 seconds
Average: 0.310 seconds

>> list_extend_time_test()
Time Spend of 3 trials with 5 function calls per trial:
	Function -> list_extend_time_test: 
		best: 3.289 seconds, worst: 3.626 seconds, average: 3.442 seconds
Average trial: 3.442 seconds. Average function call: 0.688 seconds

>> list_range_time_test()
Time Spend of 3 trials with 5 function calls per trial:
+----------------------+---------------+---------------+---------------+-----------------------+
|       Function       |   Best trial  |  Worst trial  | Average trial | Average function call |
+----------------------+---------------+---------------+---------------+-----------------------+
| list_range_time_test | 0.640 seconds | 0.714 seconds | 0.677 seconds |     0.135 seconds     |
+----------------------+---------------+---------------+---------------+-----------------------+

示例3：构建列表效率对比

from zyf import repeat_timeit


@repeat_timeit(number=3)
def list_insert_time_test():
    l = []
    for i in range(100000):
        l.insert(0, i)

@repeat_timeit(number=5)
def list_extend_time_test():
    l = []
    for i in range(100000):
        l.extend([i])

@repeat_timeit(number=5)
def list_append_time_test():
    l = []
    for i in range(100000):
        l.append(i)
    return l


@repeat_timeit(number=5)
def list_gen_time_test():
    l = [i for i in range(100000)]
    return l


@repeat_timeit(number=5)
def list_range_time_test():
    l = list(range(100000))


if __name__ == '__main__':
    list_range_time_test()
    list_gen_time_test()
    list_append_time_test()
    list_extend_time_test()
    list_insert_time_test()

运行结果

Function list_range_time_test -> 5 function calls: average takes 0.012 seconds
Function list_gen_time_test -> 5 function calls: average takes 0.017 seconds
Function list_append_time_test -> 5 function calls: average takes 0.038 seconds
Function list_extend_time_test -> 5 function calls: average takes 0.067 seconds
Function list_insert_time_test -> 3 function calls: average takes 13.747 seconds