Cython : "치명적인 오류 : numpy / arrayobject.h : 해당 파일 또는 디렉토리가 없습니다"

Cython : "치명적인 오류 : numpy / arrayobject.h : 해당 파일 또는 디렉토리가 없습니다"

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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. 미리 감사드립니다.

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()

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당신에 setup.py의는 Extension인수가 있어야합니다 include_dirs=[numpy.get_include()].

또한 np.import_array()코드에서 누락되었습니다 .

-

setup.py 예 :

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()]
)    

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For a one-file project like yours, another alternative is to use pyximport. You don't need to create a setup.py ... you don't need to even open a command line if you use IPython ... it's all very convenient. In your case, try running these commands in IPython or in a normal Python script:

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(...)
...

You may need to edit the compiler of course. This makes import and reload work the same for .pyx files as they work for .py files.

Source: http://wiki.cython.org/InstallingOnWindows

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The error means that a numpy header file isn't being found during compilation.

Try doing export CFLAGS=-I/usr/lib/python2.7/site-packages/numpy/core/include/, and then compiling. This is a problem with a few different packages. There's a bug filed in ArchLinux for the same issue: https://bugs.archlinux.org/task/22326

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Simple answer

A way simpler way is to add the path to your file distutils.cfg. It's path behalf of Windows 7 is by default C:\Python27\Lib\distutils\. You just assert the following contents and it should work out:

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

Entire config file

To give you an example how the config file could look like, my entire file reads:

[build]
compiler = mingw32

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

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It should be able to do it within cythonize() function as mentioned here, but it doesn't work beacuse there is a known issue

참고URL : https://stackoverflow.com/questions/14657375/cython-fatal-error-numpy-arrayobject-h-no-such-file-or-directory