[python] Cython : “치명적인 오류 : numpy / arrayobject.h : 해당 파일 또는 디렉토리가 없습니다”

나는 대답을 가속화하기 위해 노력하고있어 여기 사이 썬를 사용하여. 코드를 컴파일하려고 시도 했지만 ( herecygwinccompiler.py 설명 된 핵 을 수행 한 후 ) 오류가 발생합니다. 누구나 내 코드에 문제가 있거나 Cython의 난해한 미묘한 부분이 있는지 말해 줄 수 있습니까?fatal error: numpy/arrayobject.h: No such file or directory...compilation terminated

아래는 내 코드입니다.

import numpy as np
import scipy as sp
cimport numpy as np
cimport cython

cdef inline np.ndarray[np.int, ndim=1] fbincount(np.ndarray[np.int_t, ndim=1] x):
    cdef int m = np.amax(x)+1
    cdef int n = x.size
    cdef unsigned int i
    cdef np.ndarray[np.int_t, ndim=1] c = np.zeros(m, dtype=np.int)

    for i in xrange(n):
        c[<unsigned int>x[i]] += 1

    return c

cdef packed struct Point:
    np.float64_t f0, f1

@cython.boundscheck(False)
def sparsemaker(np.ndarray[np.float_t, ndim=2] X not None,
                np.ndarray[np.float_t, ndim=2] Y not None,
                np.ndarray[np.float_t, ndim=2] Z not None):

    cdef np.ndarray[np.float64_t, ndim=1] counts, factor
    cdef np.ndarray[np.int_t, ndim=1] row, col, repeats
    cdef np.ndarray[Point] indices

    cdef int x_, y_

    _, row = np.unique(X, return_inverse=True); x_ = _.size
    _, col = np.unique(Y, return_inverse=True); y_ = _.size
    indices = np.rec.fromarrays([row,col])
    _, repeats = np.unique(indices, return_inverse=True)
    counts = 1. / fbincount(repeats)
    Z.flat *= counts.take(repeats)

    return sp.sparse.csr_matrix((Z.flat,(row,col)), shape=(x_, y_)).toarray()

답변

from distutils.core import setup, Extension
from Cython.Build import cythonize
import numpy

setup(
    ext_modules=[
        Extension("my_module", ["my_module.c"],
                  include_dirs=[numpy.get_include()]),
    ],
)

# Or, if you use cythonize() to make the ext_modules list,
# include_dirs can be passed to setup()

setup(
    ext_modules=cythonize("my_module.pyx"),
    include_dirs=[numpy.get_include()]
)    

import numpy
import pyximport
pyximport.install(setup_args={"script_args":["--compiler=mingw32"],
                              "include_dirs":numpy.get_include()},
                  reload_support=True)

import my_pyx_module

print my_pyx_module.some_function(...)
...

[build_ext]
include_dirs= C:\Python27\Lib\site-packages\numpy\core\include

[build]
compiler = mingw32

[build_ext]
include_dirs= C:\Python27\Lib\site-packages\numpy\core\include
compiler = mingw32

code = open(your_pyx_file).read()
cymodule = cyper.inline(code)

cymodule.sparsemaker(...)
# do what you want with your function