96 lines
3.1 KiB
RPMSpec
96 lines
3.1 KiB
RPMSpec
%global srcname xarray
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%global data_commit 870b5d7a9dbfa821423f1b88056890c22341f085
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Name: python-%{srcname}
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Version: 0.12.3
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Release: 1%{?dist}
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Summary: N-D labeled arrays and datasets in Python
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License: ASL 2.0
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URL: https://github.com/pydata/xarray
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Source0: %pypi_source
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# Data for examples only.
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Source1: https://github.com/pydata/xarray-data/archive/%{data_commit}/xarray-data-%{data_commit}.tar.gz
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Source2: https://github.com/mapbox/rasterio/raw/1.0.21/tests/data/RGB.byte.tif
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# All Fedora specific.
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Patch0001: 0001-DOC-Don-t-download-RGB.byte.tif-during-build.patch
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Patch0002: 0002-DOC-Skip-examples-using-unpackaged-dependencies.patch
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Patch0003: 0003-TST-Reduce-required-pytest-runner-version.patch
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Patch0004: 0004-DOC-Don-t-print-out-conda-pip-environment.patch
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BuildArch: noarch
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BuildRequires: python3-devel
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BuildRequires: python3-dask+array
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BuildRequires: python3-dask+dataframe
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BuildRequires: python3dist(numpy) >= 1.12
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BuildRequires: python3dist(pandas) >= 0.19.2
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BuildRequires: python3dist(pytest) >= 2.7.1
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BuildRequires: python3dist(pytest-runner)
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BuildRequires: python3dist(pytest-xdist)
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BuildRequires: python3dist(seaborn)
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BuildRequires: python3dist(setuptools)
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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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%{?python_provide:%python_provide python3-%{srcname}}
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%description -n python3-%{srcname} %{_description}
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%prep
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%autosetup -n %{srcname}-%{version} -p1
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# Provide example datasets for building docs.
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tar xf %SOURCE1 --transform='s~^\(%{srcname}-data-%{data_commit}/\)~\1.xarray_tutorial_data/~'
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cp -p %SOURCE2 ./doc/gallery/
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# Remove bundled egg-info
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rm -rf %{srcname}.egg-info
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%build
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%py3_build
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%install
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%py3_install
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%check
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%{__python3} setup.py test --addopts='-ra -n auto -m "not network"'
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%files -n python3-%{srcname}
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%license LICENSE licenses/DASK_LICENSE licenses/NUMPY_LICENSE licenses/PANDAS_LICENSE licenses/PYTHON_LICENSE licenses/SEABORN_LICENSE
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%doc README.rst
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%{python3_sitelib}/%{srcname}
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%{python3_sitelib}/%{srcname}-%{version}-py?.?.egg-info
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%changelog
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* Sun Jul 21 2019 Elliott Sales de Andrade <quantum.analyst@gmail.com> - 0.12.3-1
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- Update to latest version
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* Sat Mar 16 2019 Elliott Sales de Andrade <quantum.analyst@gmail.com> - 0.12.0-1
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- Initial package.
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