In [1]:
%load_ext cython

Effect of boundscheck

Simple formula:

$$ f(x, y) = \sum_{i=0}^{n-1} x^{y_i} $$

In [2]:
%%cython -a
# cython: boundscheck=True
import numpy as np

cpdef f1(double[:] x, double[:] y):
    cdef int i, j, nx = x.shape[0], ny = y.shape[0]
    cdef double[:] result = np.zeros(nx)
    for i in range(nx):
        for j in range(ny):
            result[i] += x[i] ** y[j]
    return np.asarray(result)


Out[2]:
Cython: _cython_magic_a1714494fb7105ce069359a3ebd29578.pyx

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Yellow lines hint at Python interaction.
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 11: 

In [3]:
%%cython -a
# cython: boundscheck=False
import numpy as np

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Out[3]:
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In [4]:
import numpy as np
n = 10

def make_data(n):
    x = np.random.random(n)
    y = np.random.random(20)
    return x , y

# Demo
x, y = make_data(3)
z = f1(x , y)

print(z[:3])


[ 14.80889442   7.31669      5.2056517 ]

In [5]:
%timeit f1(*make_data(1000000))
%timeit f2(*make_data(1000000))


1 loop, best of 3: 777 ms per loop
1 loop, best of 3: 589 ms per loop

In [ ]: