forked from pool/python-xarray
81aa8eb667
- Many thanks to the 20 contributors to the v0.21.0 release!: - Abel Aoun, Anderson Banihirwe, Ant Gib, Chris Roat, Cindy Chiao,: - Deepak Cherian, Dominik Stańczak, Fabian Hofmann, Illviljan, Jody Klymak, Joseph: - K Aicher, Mark Harfouche, Mathias Hauser, Matthew Roeschke, Maximilian Roos,: - Michael Delgado, Pascal Bourgault, Pierre, Ray Bell, Romain Caneill, Tim Heap,: - Tom Nicholas, Zeb Nicholls, joseph nowak, keewis.: - New Features: - New top-level function :py:func:`cross`. (:issue:`3279`, :pull:`5365`). By `Jimmy Westling <https://github.com/illviljan>`_. - ``keep_attrs`` support for :py:func:`where` (:issue:`4141`, :issue:`4682`, :pull:`4687`). By `Justus Magin <https://github.com/keewis>`_. - Enable the limit option for dask array in the following methods :py:meth:`DataArray.ffill`, :py:meth:`DataArray.bfill`, :py:meth:`Dataset.ffill` and :py:meth:`Dataset.bfill` (:issue:`6112`) By `Joseph Nowak <https://github.com/josephnowak>`_. - Breaking changes: - Rely on matplotlib's default datetime converters instead of pandas' (:issue:`6102`, :pull:`6109`). By `Jimmy Westling <https://github.com/illviljan>`_. - Improve repr readability when there are a large number of dimensions in datasets or dataarrays by wrapping the text once the maximum display width has been exceeded. (:issue:`5546`, :pull:`5662`) By `Jimmy Westling <https://github.com/illviljan>`_. - Deprecations: - Removed the lock kwarg from the zarr and pydap backends, completing the deprecation cycle started in :issue:`5256`. By `Tom Nicholas <https://github.com/TomNicholas>`_. - Support for ``python 3.7`` has been dropped. (:pull:`5892`) By `Jimmy Westling <https://github.com/illviljan>`_. - Bug fixes: - Preserve chunks when creating a :py:class:`DataArray` from another :py:class:`DataArray` (:pull:`5984`). By `Fabian Hofmann <https://github.com/FabianHofmann>`_. - Properly support :py:meth:`DataArray.ffill`, :py:meth:`DataArray.bfill`, :py:meth:`Dataset.ffill` and :py:meth:`Dataset.bfill` along chunked dimensions (:issue:`6112`). By `Joseph Nowak <https://github.com/josephnowak>`_. OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=63
117 lines
4.0 KiB
RPMSpec
117 lines
4.0 KiB
RPMSpec
#
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# spec file for package python-xarray
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#
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# Copyright (c) 2022 SUSE LLC
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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 https://bugs.opensuse.org/
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#
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%{?!python_module:%define python_module() python3-%{**}}
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%define skip_python2 1
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Name: python-xarray
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Version: 0.21.0
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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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URL: https://github.com/pydata/xarray
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Source: https://files.pythonhosted.org/packages/source/x/xarray/xarray-%{version}.tar.gz
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# PATCH-FEATURE-UPSTREAM local_dataset.patch gh#pydata/xarray#5377 mcepl@suse.com
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# fix xr.tutorial.open_dataset to work with the preloaded cache.
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Patch0: local_dataset.patch
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# PATCH-FIX-UPSTREAM scipy-interpolate.patch gh#pydata/xarray#5375 mcepl@suse.com
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# Add missing import scipy.interpolate
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Patch1: scipy-interpolate.patch
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BuildRequires: %{python_module numpy >= 1.18}
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BuildRequires: %{python_module numpy-devel >= 1.14}
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BuildRequires: %{python_module pandas >= 1.1}
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BuildRequires: %{python_module setuptools_scm}
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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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Requires: python-numpy >= 1.15
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Requires: python-pandas >= 0.25
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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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Suggests: python-dask-all >= 2.30
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# SECTION extras accel
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Recommends: python-scipy >= 1.5
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Recommends: python-bottleneck
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Recommends: python-numbagg >= 0.51
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# /SECTION
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# SECTION extras viz
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Suggests: python-matplotlib >= 3.3
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Suggests: python-seaborn >= 0.11
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Suggests: python-nc-time-axis
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#/SECTION
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# SECTION extras io
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Suggests: python-netCDF4
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Suggests: python-h5netcdf
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Suggests: python-pydap
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Suggests: python-zarr >= 2.5
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Suggests: python-fsspec
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Suggests: python-cftime >= 1.2
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Suggests: python-rasterio
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Suggests: python-cfgrib
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Suggests: python-distributed >= 2.30
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Suggests: python-pint >= 0.16
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Suggests: python-sparse >= 0.11
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Suggests: python-toolz >= 0.11
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#/SECTION
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# SECTION tests
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BuildRequires: %{python_module dask-dataframe if %python-base < 3.10}
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BuildRequires: %{python_module dask-diagnostics if %python-base < 3.10}
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BuildRequires: %{python_module pooch}
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BuildRequires: %{python_module pytest-xdist}
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BuildRequires: %{python_module pytest}
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BuildRequires: %{python_module scipy}
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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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%autosetup -p1 -n xarray-%{version}
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chmod -x xarray/util/print_versions.py
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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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if [ $(getconf LONG_BIT) -eq 32 ]; then
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# precision errors on 32-bit
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# for test_resample_loffset: https://github.com/pydata/xarray/issues/5341
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donttest="((test_interpolate_chunk_advanced or test_resample_loffset) and linear)"
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fi
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%pytest -n auto ${donttest:+ -k "not ($donttest)"} 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}/xarray
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%{python_sitelib}/xarray-%{version}*-info
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%changelog
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