Compiling cython with gcc: No such file or directo

Given a file docprep.pyx

import numpy
from cymem.cymem cimport Pool
from spacy.tokens.doc cimport Doc
from spacy.typedefs cimport hash_t
from spacy.structs cimport TokenC
from spacy.strings import hash_string


cdef struct DocElement:
    TokenC* c
    int length


cdef int fast_loop(DocElement* docs, int n_docs, hash_t word, hash_t tag):
    cdef int n_out = 0
    for doc in docs[:n_docs]:
        for c in doc.c[:doc.length]:
            if c.lex.lower == word and c.tag == tag:
                n_out += 1
    return n_out


def main_nlp_fast(doc_list):
    cdef int i, n_out, n_docs = len(doc_list)
    cdef Pool mem = Pool()
    cdef DocElement* docs = <DocElement*>mem.alloc(n_docs, sizeof(DocElement))
    cdef Doc doc
    # Populate our database structure
    for i, doc in enumerate(doc_list):
        docs[i].c = doc.c
        docs[i].length = (<Doc>doc).length
    word_hash = hash_string('run')
    tag_hash = hash_string('NN')
    n_out = fast_loop(docs, n_docs, word_hash, tag_hash)
    print(n_out)


docs = [Doc("asd run NN ddd")]
main_nlp_fast(docs)

I compiled to C with Cython:

cython -X language_level=3 docprep.pyx

With system paths determined as such:

import numpy
import sysconfig
numpy.get_include()
sysconfig.get_paths()['include']

I tried compiling the C file with GCC:

gcc docprep.c -I '/home/torstein/anaconda3/include/python3.7m' -I '/home/torstein/anaconda3/lib/python3.7/site-packages/numpy/core/include' -L '/home/torstein/anaconda3/lib/python3.7' -lpython3.7 -o docprep.o

But get:

In file included from /home/torstein/anaconda3/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1823,
                 from /home/torstein/anaconda3/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /home/torstein/anaconda3/lib/python3.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from docprep.c:610:
/home/torstein/anaconda3/lib/python3.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^~~~~~~
docprep.c:613:10: fatal error: ios: No such file or directory
 #include "ios"
          ^~~~~
compilation terminated

As you can tell from the paths, this system has an Anaconda installation with Python 3.7. numpy, spacy and cython are all installed through conda.

In my case, it worked using @mountrix tip, just add the language="c++" to your setup.py, an example:

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


extensions = [
    Extension("processing_module", sources=["processing_module.pyx"], include_dirs=[numpy.get_include()], extra_compile_args=["-O3"], language="c++")
]

setup(
    name="processing_module",
    ext_modules = cythonize(extensions),
)