scikit-learn/maint_tools/check_pxd_in_installation.py

63 lines
1.9 KiB
Python

"""Utility for testing presence and usability of .pxd files in the installation
Usage:
------
python check_pxd_in_installation.py path/to/install_dir/of/scikit-learn
"""
import os
import sys
import pathlib
import tempfile
import textwrap
import subprocess
sklearn_dir = pathlib.Path(sys.argv[1])
pxd_files = list(sklearn_dir.glob("**/*.pxd"))
print("> Found pxd files:")
for pxd_file in pxd_files:
print(" -", pxd_file)
print("\n> Trying to compile a cython extension cimporting all corresponding modules\n")
with tempfile.TemporaryDirectory() as tmpdir:
tmpdir = pathlib.Path(tmpdir)
# A cython test file which cimports all modules corresponding to found
# pxd files.
# e.g. sklearn/tree/_utils.pxd becomes `cimport sklearn.tree._utils`
with open(tmpdir / "tst.pyx", "w") as f:
for pxd_file in pxd_files:
to_import = str(pxd_file.relative_to(sklearn_dir))
to_import = to_import.replace(os.path.sep, ".")
to_import = to_import.replace(".pxd", "")
f.write("cimport sklearn." + to_import + "\n")
# A basic setup file to build the test file.
# We set the language to c++ and we use numpy.get_include() because
# some modules require it.
with open(tmpdir / "setup_tst.py", "w") as f:
f.write(
textwrap.dedent(
"""
from distutils.core import setup
from distutils.extension import Extension
from Cython.Build import cythonize
import numpy
extensions = [Extension("tst",
sources=["tst.pyx"],
language="c++",
include_dirs=[numpy.get_include()])]
setup(ext_modules=cythonize(extensions))
"""
)
)
subprocess.run(
["python", "setup_tst.py", "build_ext", "-i"], check=True, cwd=tmpdir
)
print("\n> Compilation succeeded !")