2018-04-24 15:31:25 +02:00
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#
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# spec file for package python-xarray
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#
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# Copyright (c) 2018 SUSE LINUX GmbH, Nuernberg, Germany.
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via http://bugs.opensuse.org/
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#
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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Name: python-xarray
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2018-05-29 10:34:57 +02:00
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Version: 0.10.4
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2018-04-24 15:31:25 +02:00
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Release: 0
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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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Group: Development/Languages/Python
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2018-05-29 10:34:57 +02:00
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URL: http://github.com/pydata/xarray
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2018-04-24 15:31:25 +02:00
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Source: https://files.pythonhosted.org/packages/source/x/xarray/xarray-%{version}.tar.gz
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BuildRequires: %{python_module devel}
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BuildRequires: %{python_module numpy-devel >= 1.11}
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BuildRequires: %{python_module pandas >= 0.18.0}
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BuildRequires: %{python_module setuptools}
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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2018-05-29 10:34:57 +02:00
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Requires: python-numpy >= 1.11
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Requires: python-pandas >= 0.18.0
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Recommends: python-scipy
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Provides: python-xray = %{version}
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Obsoletes: python-xray < %{version}
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BuildArch: noarch
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2018-04-24 15:31:25 +02:00
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# SECTION tests
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BuildRequires: %{python_module dask-dataframe}
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BuildRequires: %{python_module pytest >= 2.7.1}
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BuildRequires: %{python_module scipy}
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BuildRequires: python2-mock
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# /SECTION
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%python_subpackages
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%description
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xarray (formerly xray) is a python-pandas-like and pandas-compatible
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toolkit for analytics on multi-dimensional arrays. It provides
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N-dimensional variants of the python-pandas labeled data structures,
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rather than the tabular data that pandas uses.
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The Common Data Model for self-describing scientific data is used.
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The dataset is an in-memory representation of a netCDF file.
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%prep
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%setup -q -n xarray-%{version}
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%build
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%python_build
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%install
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%python_install
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%python_expand %fdupes %{buildroot}%{$python_sitelib}
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%check
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#ignore netcdf fails for now, known upstream: https://github.com/pydata/xarray/issues/2050
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%python_expand py.test-%{$python_bin_suffix} xarray || :
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%files %{python_files}
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%doc README.rst
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%license LICENSE licenses/
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%{python_sitelib}/*
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%changelog
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