d121e78a08
- Resolves: rhbz#2328431 Commit authored by Packit automation (https://packit.dev/) Co-authored-by: Elliott Sales de Andrade <quantum.analyst@gmail.com>
84 lines
2.4 KiB
RPMSpec
84 lines
2.4 KiB
RPMSpec
%global srcname xarray
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Name: python-%{srcname}
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Version: 2025.4.0
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Release: %autorelease
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Summary: N-D labeled arrays and datasets in Python
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License: Apache-2.0
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URL: https://github.com/pydata/xarray
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Source: %pypi_source %{srcname}
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# https://github.com/pydata/xarray/pull/9964
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Patch: 0001-Avoid-unsafe-casts-from-float-to-unsigned-int.patch
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BuildArch: noarch
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BuildRequires: python3-devel
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BuildRequires: python3dist(bottleneck)
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BuildRequires: python3dist(dask[array]) >= 2023.11
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BuildRequires: python3dist(dask[dataframe]) >= 2023.11
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BuildRequires: python3dist(pint) >= 0.22
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BuildRequires: python3dist(pytest) >= 2.7.1
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BuildRequires: python3dist(pytest-xdist)
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BuildRequires: python3dist(rasterio) >= 1.3
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BuildRequires: python3dist(seaborn) >= 0.13
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%global _description %{expand: \
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Xarray (formerly xray) is an open source project and Python package that
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makes working with labelled multi-dimensional arrays simple, efficient,
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and fun!
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Xarray introduces labels in the form of dimensions, coordinates and
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attributes on top of raw NumPy-like arrays, which allows for a more
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intuitive, more concise, and less error-prone developer experience. The
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package includes a large and growing library of domain-agnostic functions
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for advanced analytics and visualization with these data structures.
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Xarray was inspired by and borrows heavily from pandas, the popular data
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analysis package focused on labelled tabular data. It is particularly
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tailored to working with netCDF files, which were the source of xarray’s
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data model, and integrates tightly with dask for parallel computing.}
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%description %{_description}
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%package -n python3-%{srcname}
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Summary: %{summary}
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%description -n python3-%{srcname} %{_description}
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%pyproject_extras_subpkg -n python3-%{srcname} io
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%prep
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%autosetup -n %{srcname}-%{version} -p1
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%generate_buildrequires
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%pyproject_buildrequires -x io
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%build
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%pyproject_wheel
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%install
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%pyproject_install
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%pyproject_save_files -l %{srcname}
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%check
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rm -rf xarray
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echo >> pytest.ini # Ignore any command-line arguments from upstream.
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pytest_args=(
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-n auto
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-m "not network"
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# this test somehow crashes python interpreter entirely, was xfail upstream till recently
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-k 'not test_save_mfdataset_compute_false_roundtrip'
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)
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%{pytest} -ra "${pytest_args[@]}" --pyargs xarray
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%files -n python3-%{srcname} -f %{pyproject_files}
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%license licenses/*
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%doc README.md
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%changelog
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%autochangelog
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