通过使用生成器理解而不是列表理解，可以使这两个函数更快、更具可比性。在s = """

import numpy as np;

x, y = np.random.rand(1000),np.random.rand(1000);

(all((x[i], y[i])) for i in range(1000)) """

timeit.timeit(s,number=1000)

0.05593514442443848

s_yours = """

import numpy as np;

x, y = np.random.rand(1000), np.random.rand(1000);

[all((x[i], y[i])) for i in range(1000)] """

timeit.timeit(s_yours,number=1000)

0.3829691410064697

s_numpy = """import numpy as np;

x, y = np.random.rand(1000), np.random.rand(1000);

(np.all((x[i], y[i])) for i in range(1000))"""

timeit.timeit(s_numpy,number=1000)

0.06155896186828613

s_your_numpy = """import numpy as np;

x, y = np.random.rand(1000), np.random.rand(1000);

[np.all((x[i], y[i])) for i in range(1000)]"""

timeit.timeit(s_your_numpy,number=1000)

12.162676811218262

Numpy可能还是比较慢的，但是就像那个家伙说的，在更大的列表中效果更好。在

还有，为什么

^{pr2}$

没有选择？在