f2py-cmake 0.1.1

Creator: bradpython12

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Description:

f2pycmake 0.1.1

f2py-cmake






This provides helpers for using F2Py. Use:
include(UseF2Py)

You must have found a Python interpreter beforehand. This will define a
F2Py::F2Py target (along with a matching F2PY_EXECUTABLE variable). It will
also provide the following helper functions:
f2py_object_library(<name> <type>)

f2py_generate_module(<module> <files>...
[F2PY_ARGS <args> ...]
[F77 | F90]
[NOLOWER]
[OUTPUT_DIR <OutputDir>]
[OUTPUT_VARIABLE <OutputVariable>]
)

Example
find_package(
Python
COMPONENTS Interpreter Development.Module NumPy
REQUIRED)

include(UseF2Py)

# Create the F2Py `numpyobject` library.
f2py_object_library(f2py_object OBJECT)

f2py_generate_module(fibby fib1.f OUTPUT_VARIABLE fibby_files)

python_add_library(fibby MODULE "${fibby_files}" WITH_SOABI)
target_link_library(fibby PRIVATE f2py_object)

scikit-build-core
To use this package with scikit-build-core, you need to include it in your build
requirements:
[build-system]
requires = ["scikit-build-core", "numpy", "f2py-cmake"]
build-backend = "scikit_build_core.build"

Vendoring
You can vendor UseF2Py into your package, as well. This avoids requiring a
dependency at build time and protects you against changes in this package, at
the expense of requiring manual re-vendoring to get bugfixes and/or
improvements. This mechanism is also ideal if you want to support direct builds,
outside of scikit-build-core.
You should make a CMake helper directory, such as cmake. Add this to your
CMakeLists.txt like this:
list(APPEND CMAKE_MODULE_PATH "${CMAKE_SOURCE_DIR}/cmake")

Then, you can vendor our file into that folder:
pipx run f2py-cmake vendor cmake

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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