Calling C functions

Note

This page uses two different syntax variants:

• Cython specific cdef syntax, which was designed to make type declarations concise and easily readable from a C/C++ perspective.

• Pure Python syntax which allows static Cython type declarations in pure Python code, following PEP-484 type hints and PEP 526 variable annotations.

  To make use of C data types in Python syntax, you need to import the special cython module in the Python module that you want to compile, e.g.

  import cython
  

  If you use the pure Python syntax we strongly recommend you use a recent Cython 3 release, since significant improvements have been made here compared to the 0.29.x releases.

This tutorial describes shortly what you need to know in order to call C library functions from Cython code. For a longer and more comprehensive tutorial about using external C libraries, wrapping them and handling errors, see Using C libraries.

For simplicity, let’s start with a function from the standard C library. This does not add any dependencies to your code, and it has the additional advantage that Cython already defines many such functions for you. So you can just cimport and use them.

For example, let’s say you need a low-level way to parse a number from a char* value. You could use the atoi() function, as defined by the stdlib.h header file. This can be done as follows:

Pure PythonCython

atoi.py

from cython.cimports.libc.stdlib import atoi

@cython.cfunc
def parse_charptr_to_py_int(s: cython.p_char):
    assert s is not cython.NULL, "byte string value is NULL"
    return atoi(s)  # note: atoi() has no error detection!

You can find a complete list of these standard cimport files in Cython’s source package Cython/Includes/. They are stored in .pxd files, the standard way to provide reusable Cython declarations that can be shared across modules (see Sharing Declarations Between Cython Modules).

Cython also has a complete set of declarations for CPython’s C-API. For example, to test at C compilation time which CPython version your code is being compiled with, you can do this:

Pure PythonCython

py_version_hex.py

from cython.cimports.cpython.version import PY_VERSION_HEX

# Python version >= 3.2 final ?
print(PY_VERSION_HEX >= 0x030200F0)

Cython also provides declarations for the C math library:

Pure PythonCython

libc_sin.py

from cython.cimports.libc.math import sin

@cython.cfunc
def f(x: cython.double) -> cython.double:
    return sin(x * x)

Dynamic linking

The libc math library is special in that it is not linked by default on some Unix-like systems, such as Linux. In addition to cimporting the declarations, you must configure your build system to link against the shared library m. For setuptools, it is enough to add it to the libraries parameter of the Extension() setup:

from setuptools import Extension, setup
from Cython.Build import cythonize

ext_modules = [
    Extension("demo",
              sources=["demo.pyx"],
              libraries=["m"]  # Unix-like specific
              )
]

setup(name="Demos",
      ext_modules=cythonize(ext_modules))

External declarations

If you want to access C code for which Cython does not provide a ready to use declaration, you must declare them yourself. For example, the above sin() function is defined as follows:

cdef extern from "math.h":
    double sin(double x)

This declares the sin() function in a way that makes it available to Cython code and instructs Cython to generate C code that includes the math.h header file. The C compiler will see the original declaration in math.h at compile time, but Cython does not parse “math.h” and requires a separate definition.

Just like the sin() function from the math library, it is possible to declare and call into any C library as long as the module that Cython generates is properly linked against the shared or static library.

Note that you can easily export an external C function from your Cython module by declaring it as cpdef. This generates a Python wrapper for it and adds it to the module dict. Here is a Cython module that provides direct access to the C sin() function for Python code:

"""
>>> sin(0)
0.0
"""

cdef extern from "math.h":
    cpdef double sin(double x)

You get the same result when this declaration appears in the .pxd file that belongs to the Cython module (i.e. that has the same name, see Sharing Declarations Between Cython Modules). This allows the C declaration to be reused in other Cython modules, while still providing an automatically generated Python wrapper in this specific module.

Note

External declarations must be placed in a .pxd file in Pure Python mode.

Naming parameters

Both C and Cython support signature declarations without parameter names like this:

cdef extern from "string.h":
    char* strstr(const char*, const char*)

However, this prevents Cython code from calling it with keyword arguments. It is therefore preferable to write the declaration like this instead:

cdef extern from "string.h":
    char* strstr(const char *haystack, const char *needle)

You can now make it clear which of the two arguments does what in your call, thus avoiding any ambiguities and often making your code more readable:

Pure PythonCython

keyword_args_call.py

from cython.cimports.strstr import strstr

def main():
    data: cython.p_char = "hfvcakdfagbcffvschvxcdfgccbcfhvgcsnfxjh"

    pos = strstr(needle='akd', haystack=data)
    print(pos is not cython.NULL)

strstr.pxd

cdef extern from "string.h":
    char* strstr(const char *haystack, const char *needle)

Note that changing existing parameter names later is a backwards incompatible API modification, just as for Python code. Thus, if you provide your own declarations for external C or C++ functions, it is usually worth the additional bit of effort to choose the names of their arguments well.