# array-api-compat -- the Python array API standard as a thin compatibility layer over
# NumPy, PyTorch, CuPy and Dask: array_namespace(x) returns a namespace with the
# standard's function names whatever library x came from. Pure Python.
#
# WHY IT IS HERE: DeepInverse's PET operator (deepinv.physics.PET) drives parallelproj
# through array_api_compat.torch. It is also what scikit-learn, SciPy and parallelproj
# use to accept torch tensors, so it is useful beyond DeepInverse.
#
# Class 1 under docs/PACKAGING-POLICY.md: Fedora ships no package by this source
# name and nothing provides python3dist(array-api-compat). Verified 2026-10-12:
#   dnf repoquery --whatprovides 'python3dist(array-api-compat)'  -> empty
# (SciPy vendors its own copy inside scipy._lib; that copy is private.)

%global pypi_name       array-api-compat
%global import_name     array_api_compat

Name:           python-%{pypi_name}
Version:        1.15.0
Release:        1%{?dist}
Summary:        Array API standard compatibility layer for NumPy, PyTorch, CuPy and Dask

License:        MIT
URL:            https://github.com/data-apis/array-api-compat
# The GitHub tag, not the PyPI sdist: the sdist ships no tests/. Upstream tags
# this release "1.15". src/ is byte-identical between the two (diff -rq).
Source0:        %{url}/archive/1.15/array-api-compat-1.15.tar.gz

BuildArch:      noarch

BuildRequires:  python3-devel
BuildRequires:  python3dist(pytest)
# The libraries the tests wrap. Each test module importorskip()s its library,
# so every one listed here turns skips into real runs. jax, cupy, ndonnx and
# pydata-sparse are not in Fedora; their cases skip.
BuildRequires:  python3dist(numpy)
BuildRequires:  python3dist(torch)
BuildRequires:  python3dist(dask)
BuildRequires:  python3dist(array-api-strict)

%global _description %{expand:
array-api-compat is a small wrapper around NumPy, PyTorch, CuPy and Dask that
gives each of them the function names and semantics of the Python array API
standard (data-apis.org). Library code calls array_namespace(x) and then uses
the returned namespace, so one implementation accepts NumPy arrays and PyTorch
tensors alike. It wraps; it does not copy data or add dependencies on the
array libraries themselves.}

%description %_description

%package -n     python3-%{pypi_name}
Summary:        %{summary}

%description -n python3-%{pypi_name} %_description

%prep
%autosetup -p1 -n array-api-compat-1.15

%generate_buildrequires
# meson-python cannot report metadata before a build; -p reads the runtime
# requirements from pyproject.toml's [project] table instead (there are none).
%pyproject_buildrequires -p

%build
# Upstream's meson build installs tests/ and vendor_tests/ into the package as
# array_api_compat.tests and array_api_compat.vendor_tests (install tag
# "tests"). The installed vendor_tests cannot work: they import a vendored
# ./array_api_compat copy that exists only as a symlink in the source tree.
# Build the wheel from the runtime sources only; the tests run from the source
# tree in %%check.
%pyproject_wheel -Cinstall-args=--tags=python-runtime

%install
%pyproject_install
# meson-python writes no PEP 639 License-File here; LICENSE is listed in
# %%files by hand.
%pyproject_save_files -L %{import_name}

%check
# The cupy wrappers import cupy at module scope; cupy is not in Fedora.
%pyproject_check_import -e 'array_api_compat.cupy*'
test ! -e %{buildroot}%{python3_sitelib}/array_api_compat/tests
test ! -e %{buildroot}%{python3_sitelib}/array_api_compat/vendor_tests
# test_no_dependencies.py runs a subprocess that asserts importing
# array_api_compat pulls in no array library; it uses sys.executable and the
# installed package, so it runs as is.
# Deselected, all because of what Fedora ships rather than array-api-compat:
#  - array_api_strict 2024.12 namespace and conj/real view-or-copy (4 cases):
#    Fedora's python3-array-api-strict is 2.0.1, which predates the 2024.12
#    standard ("Unsupported standard version '2024.12'"; conj/real still
#    reject real dtypes). The 2023.12 cases for the same library run.
#  - test_dynamo_array_namespace: calls torch.compile, which torch 2.9 refuses
#    on Python 3.14 ("torch.compile is not supported on Python 3.14+").
%pytest -c /dev/null --rootdir=. tests -p no:cacheprovider -q -rs \
    --deselect 'tests/test_array_namespace.py::test_array_namespace[array_api_strict-2024.12-False]' \
    --deselect 'tests/test_array_namespace.py::test_array_namespace[array_api_strict-2024.12-None]' \
    --deselect 'tests/test_copies_or_views.py::test_view_or_copy[conj-array_api_strict]' \
    --deselect 'tests/test_copies_or_views.py::test_view_or_copy[real-array_api_strict]' \
    --deselect tests/test_torch.py::test_dynamo_array_namespace

%files -n python3-%{pypi_name} -f %{pyproject_files}
%license LICENSE
%doc README.md CHANGELOG.md

%changelog
* Mon Oct 12 2026 Morgan Hough <morgan.hough@gmail.com> - 1.15.0-1
- Initial package: needed by DeepInverse's PET operator (with parallelproj).