Hello all, wondering if this is the right channel to ask the following: In evaluating Pants I'm wondering if it is feasible to have build artifacts that come from the scientific python stack (e.g. Numpy/Scipy). Some of our projects will wrap Fortran or C code. Is Pants going to be friend or foe here? ** For Fortran, we'll be using numpy's

f2py

module

Hmm, interesting. Depends on the details. For example, If these are built as Python extensions then Pants can handle that by building a local dist from your setup.py (or equivalent)

We do currently have everything in setup.py. Here is a snippet of the setup.py file with the interesting bits:

from numpy.distutils.core import (setup, Extension)

my_c_extension = Extension('my_c_module', sources=['my_c_code.c'])
my_fortran_extension = Extension('my_fortran_module', sources=['my_fortran_code.f'])

setup(
    ...
    ext_modules=[my_c_extension, my_fortran_extension],
    ...
)

So if you have a

python_distribution

target for this setup.py and have

python_sources

targets with (inferred or explicit) dependencies on that

python_distribution

then Pants will build the wheel from the setup.py and ensure that it's on the sys.path when you run tests etc.

Will do, thanks!