I am learning how to use Cython to compile efficiently a Python code and make it quicker.
Here is what I've done so far:
- I created a Python file called
math_code_python.py
and put 4 simple functions in it. - I saved that file as
math_code_cython.pyx
. - I created a setup file called
setup.py
. - I typed
python C:\Users\loic\Documents\math_code\setup.py build_ext --inplace
in myCommand Prompt
. - I got a compiled file called
math_code_cython.cp36-win_amd64.pyd
that I renamedmath_code_pyd.pyd
. Finally, I created a Python file called
test_math_code.pyd
with onlyimport math_code_pyd
in it. When I executed this file I got that message:ImportError: dynamic module does not define module export function
I did some research and thanks to those posts I understood that I had to provide an init function
:
- https://bytes.com/topic/python/answers/694888-constructor-initialization-function-module
- Python 3.5 ImportError: dynamic module does not define module export function (PyInit_cv2)
My question is : how do I do that ? Do I have to put a function at the end of math_code_python.py
like what follows ?
def __init__(self):
# something ?
My version of Python:
Python 3.6.1 |Anaconda 4.4.0 (64-bit)| (default, May 11 2017, 13:25:24) [MSC v.1900 64 bit (AMD64)]
math_code_python.py
def fact(n):
if n==0 or n==1:
return 1
else:
return n*fact(n-1)
def fibo(n):
if n==0 or n==1:
return 1
else:
return fibo(n-1)+fibo(n-2)
def dicho(f, a, b, eps):
assert f(a)*f(b) < 0
while b-a > eps:
M = (a+b)/2.
if f(a) * f(M) > 0:
a = M
else:
b = M
return M
def newton(f, fp, x0, eps):
u = x0
v = u - f(u)/fp(u)
while abs(v-u) > eps:
u = v
v = u - f(u)/fp(u)
return v
setup.py
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
from Cython.Distutils import build_ext
from Cython.Build import cythonize
import numpy as np
setup(name = "maido",
include_dirs = [np.get_include()],
cmdclass = {'build_ext': build_ext},
ext_modules = cythonize(r"C:\Users\loic\Documents\math_code\math_code_cython.pyx"),
)