运行时间测试

• 脚本级别

python -m cProfile -o del.out timeit_and_numba.py 
# 或者  line_profile

• 函数,方法级别

# 4 class.functions
def timers(origin_func):
    def wrapper(self, *args, **kwargs):
        try:
            t1 = time.time()
            u = origin_func(self, *args, **kwargs)
            print(time.time() - t1)
            return u
        except Exception as e:
            print(e)
    return wrapper


# 4 functions
def timer(func):
    def inner(self, *args, **kwargs):
        t1 = time.time()
        func(*args, **kwargs)
        print(time.time()-t1)
    return inner

-timeit函数

import numba as nb
from numba import jit
import numpy as np
from timeit import timeit

@jit('f8(f8[:])')
def sum1d(array):
    s = 0.0
    n = array.shape[0]
    for i in range(n):
        s += array[i]
    return s

array = np.random.random(10000)

# print(timeit(sum1d(array), number=100))
# print(timeit(np.sum(array), number=100))
# print(timeit(sum(array), number=100))
t1 = timeit('sum1d', "from __main__ import sum1d", number=1000)
print(t1)
t2 = timeit('np.sum(array)', "from __main__ import array, np", number=1000)
print(t2)
t3 = timeit('sum(array)', "from __main__ import array", number=1000)
print(t3)