cython_capi | Where is __pyx_capi__? | Data Manipulation library

cython_capi is a Python library typically used in Utilities, Data Manipulation applications. cython_capi has no vulnerabilities, it has a Strong Copyleft License and it has low support. However cython_capi has 4 bugs and it build file is not available. You can download it from GitHub.

Demonstrates without using api keyword how __pyx_capi__ attribute is generated by Cython. How it requires pyx and pxd files to be in-place during build_ext step. Simple build_ext without packaging, in-place build_ext with packaging (see: setup_pkg_inplace.py). When build_ext is done with packaging using the Cython sources in some other directory (see setup_pkg.py). A Cython interface to a C++ class in Rectangle.cpp. Attempt to access a C++ bound method getArea. Modified api can export PyCapsules for regular Cython functions alone, not for bound methods in Cython classes. Pythran cannot have a struct type as an argument; thus Pythran fails to compile. A pyx file containing a function which adds 2 arrays / memory-views and another pyx file which adds integers. Also, Pythran file which includes similar add functions and a Pythran exported PyCapsule. PyCapsules exported using Cython (api) and Pythran is fed into the Pythran function. For integer type: Pythran calling Pythran-PyCapsule and Cython-PyCapsule. For array type: Pythran calling Pythran-PyCapsule. Direct Cython function calls. For array type: Pythran calling Cython-PyCapsule. Revisiting the Rectangle.cpp example, now with manually created PyCapsules through Cython. A cpdef function which works as a wrapper to access the getArea C++ bound method: only has int as argument and return types. Different kinds of twice functions of unbound cdef type and bound cpdef and static types. A cleaner version of the previous case, containing only "twice-functions". -ditto- and an attempt to write a C code with Python API to call the PyCapsule. Trying to use the Rectangle.cpp now with a bound-method with pointer arguments. Unable to manually generate PyCapsules. "Twice-functions" for an array of floats instead of a scalar int. Manually creating PyCapsules using make_PyCapsule function. Calling unbound and bound methods of cdef/cpdef/static types with memoryview/ndarray argument types from Pythran with the PyCapsules. Instead of Pythran, we try to call PyCapsules using scipy.LowLevelCallable feature. It extends the integrate.nquad example found in SciPy docs. We use Cython instead of ctypes to generate the LowLevelCallable for the same example. Cython function using double* argument. Cython function using a memoryview or numpy argument (Could be something related to SciPy internals, since scipy does a preliminary type checking using the PyCapsule's signature).