I’ve found that a frequent cause of this problem is, when using a distutils setup file to compile the code, that the .pyx base name does not match the extension name, e.g: ext = Extension(name=”different”, sources=[‘cython_ext.pyx’]) # Won’t work To avoid the problem the extension name should be exactly the same, in this case, cython_ext.
Update 2015: possible as of Go 1.5 https://blog.filippo.io/building-python-modules-with-go-1-5/ with Go 1.5 you can build .so objects and import them as Python modules, running Go code (instead of C) directly from Python. See also https://github.com/go-python/gopy gopy generates a CPython extension module from a go package.
It’s a bit complicated because the names have different meanings depending on the context. int In Python The int is normally just a Python type, it’s of arbitrary precision, meaning that you can store any conceivable integer inside it (as long as you have enough memory). >>> int(10**50) 100000000000000000000000000000000000000000000000000 However, when you use it as … Read more
Here’s the wiki page on embedding cython Assuming you installed python to C:\Python31 and you want to use Microsoft Compiler. smalltest1.py – is the file you want to compile. test.exe – name of the executable. You need to set the environmental variables for cl. C:\Python31\python.exe C:\Python31\Scripts\cython.py smalltest1.py –embed cl.exe /nologo /Ox /MD /W3 /GS- /DNDEBUG … Read more
What you want is the –embed flag for the Cython compiler. There isn’t a ton of documentation on it, but this is what I was able to find. It does link to a simple working example. To compile the Cython source code to a C file that can then be compiled to an executable you … Read more
Summary Using a loop-based approach with single pass and copying, accelerated with Numba, offers the best overall trade-off in terms of speed, memory efficiency and flexibility. If the execution of the condition function is sufficiently fast, two-passes (filter2_nb()) may be faster, while they are more memory efficient regardless. Also, for sufficiently large inputs, resizing instead … Read more
Try setting the “CC” environment variable from inside the setup.py with os.environ.
There’s some extra C++ support you need to do. At the top of your .pyx file, add from libcpp cimport bool I’d take a look inside that to find the other things you might need, like std::string and STL containers
Just directly install from pypi: pip install Cython https://pypi.org/project/Cython/
If I have understood the question correctly, you could make use of SciPy’s Cython wrappers for BLAS and LAPACK routines. These wrappers are documented here: BLAS LAPACK As the documentation states, you are responsible for checking that any arrays that you pass to these functions are aligned correctly for the Fortran routines. You can simply … Read more