⚠️ GitHub issue #43532 has been automatically assigned in GitHub to PR creator.

@jorisvandenbossche Could you take a look please,
I choose use importlib.resources() (1) instead of numpy.get_include() (2) because:
(2) need import numpy, then some current release test will fail (eg: ci/scripts/release_test.sh), we need to add numpy as a dependency for requirements-test
(1) failed Python 3.8 CI pipeline (importlib.resources.files available from >=3.9). But, this Python version planning was removed since Arrow v18.0.0, so I think (1) makes more sense. How do you think about it?

@tlm365 thanks for the PR!

I choose use importlib.resources() (1) instead of numpy.get_include() (2) because:
(2) need import numpy, then some current release test will fail (eg: ci/scripts/release_test.sh), we need to add numpy as a dependency for requirements-test

While using numpy.get_include() might indeed require some updates elsewhere, I think we should still try to take that route (it's the official public way provided by numpy to get that information, without needing to rely on internal details, e.g. that it is in core/include).

It might also be that you could move the import numpy inline to where it would be used, and then certain invocations of setup.py might still work without numpy installed.

⚠️ GitHub issue #43532 has been automatically assigned in GitHub to PR creator.

@github-actions crossbow submit -g python -g wheel

I've rebased on git main, to run CI again.

@github-actions crossbow submit -g python -g wheel

Revision: 279d16d

Submitted crossbow builds: ursacomputing/crossbow @ actions-5c561e1e95

Task	Status
example-python-minimal-build-fedora-conda
example-python-minimal-build-ubuntu-venv
test-conda-python-3.10
test-conda-python-3.10-cython2
test-conda-python-3.10-hdfs-2.9.2
test-conda-python-3.10-hdfs-3.2.1
test-conda-python-3.10-pandas-latest-numpy-1.26
test-conda-python-3.10-pandas-latest-numpy-latest
test-conda-python-3.10-pandas-nightly-numpy-nightly
test-conda-python-3.10-substrait
test-conda-python-3.11
test-conda-python-3.11-dask-latest
test-conda-python-3.11-dask-upstream_devel
test-conda-python-3.11-hypothesis
test-conda-python-3.11-pandas-upstream_devel-numpy-nightly
test-conda-python-3.11-spark-master
test-conda-python-3.12
test-conda-python-3.12-cpython-debug
test-conda-python-3.8
test-conda-python-3.8-pandas-1.0-numpy-1.19
test-conda-python-3.9
test-conda-python-3.9-pandas-latest-numpy-latest
test-conda-python-emscripten
test-cuda-python
test-debian-12-python-3-amd64
test-debian-12-python-3-i386
test-fedora-39-python-3
test-ubuntu-20.04-python-3
test-ubuntu-22.04-python-3
wheel-macos-big-sur-cp310-arm64
wheel-macos-big-sur-cp311-arm64
wheel-macos-big-sur-cp312-arm64
wheel-macos-big-sur-cp38-arm64
wheel-macos-big-sur-cp39-arm64
wheel-macos-catalina-cp310-amd64
wheel-macos-catalina-cp311-amd64
wheel-macos-catalina-cp312-amd64
wheel-macos-catalina-cp38-amd64
wheel-macos-catalina-cp39-amd64
wheel-manylinux-2-28-cp310-amd64
wheel-manylinux-2-28-cp310-arm64
wheel-manylinux-2-28-cp311-amd64
wheel-manylinux-2-28-cp311-arm64
wheel-manylinux-2-28-cp312-amd64
wheel-manylinux-2-28-cp312-arm64
wheel-manylinux-2-28-cp38-amd64
wheel-manylinux-2-28-cp38-arm64
wheel-manylinux-2-28-cp39-amd64
wheel-manylinux-2-28-cp39-arm64
wheel-manylinux-2014-cp310-amd64
wheel-manylinux-2014-cp310-arm64
wheel-manylinux-2014-cp311-amd64
wheel-manylinux-2014-cp311-arm64
wheel-manylinux-2014-cp312-amd64
wheel-manylinux-2014-cp312-arm64
wheel-manylinux-2014-cp38-amd64
wheel-manylinux-2014-cp38-arm64
wheel-manylinux-2014-cp39-amd64
wheel-manylinux-2014-cp39-arm64
wheel-windows-cp310-amd64
wheel-windows-cp311-amd64
wheel-windows-cp312-amd64
wheel-windows-cp38-amd64
wheel-windows-cp39-amd64

CI failures are unrelated, I'll merge. Thanks a lot @tlm365 !

After merging your PR, Conbench analyzed the 4 benchmarking runs that have been run so far on merge-commit 3420c0d.

There were no benchmark performance regressions. 🎉

The full Conbench report has more details. It also includes information about 26 possible false positives for unstable benchmarks that are known to sometimes produce them.