我正在尝试使用基本示例比较 numba 和纯 python，但结果很奇怪。
这是 numba 示例：
from numba import jit
from numpy import arange
from time import time
# jit decorator tells Numba to compile this function.
# The argument types will be inferred by Numba when function is called.
@jit
def sum2d(arr):
M, N = arr.shape
result = 0.0
for i in range(M):
for j in range(N):
result += arr[i,j]
return result
a = arange(9).reshape(3,3)
t = time()
print(sum2d(a))
print time() - t
这是我用 numba 得到的时间 0.0469660758972 秒 …