cbf916e927
- This release brings a few important performance improvements, a wide range of:
- usability upgrades, lots of bug fixes, and some new features. These include:
- better ``cftime`` support, a new quiver plot, better ``unstack`` performance,:
- more efficient memory use in rolling operations, and some python packaging:
- improvements. We also have a few documentation improvements (and more planned!).:
- Many thanks to the 36 contributors to this release: Alessandro Amici, Anderson:
- Banihirwe, Aureliana Barghini, Ayrton Bourn, Benjamin Bean, Blair Bonnett, Chun:
- Ho Chow, DWesl, Daniel Mesejo-León, Deepak Cherian, Eric Keenan, Illviljan, Jens:
- Hedegaard Nielsen, Jody Klymak, Julien Seguinot, Julius Busecke, Kai Mühlbauer,:
- Leif Denby, Martin Durant, Mathias Hauser, Maximilian Roos, Michael Mann, Ray:
- Bell, RichardScottOZ, Spencer Clark, Tim Gates, Tom Nicholas, Yunus Sevinchan,:
- alexamici, aurghs, crusaderky, dcherian, ghislainp, keewis, rhkleijn:
- Breaking changes:
- xarray no longer supports python 3.6
The minimum version policy was changed to also apply to projects with irregular
releases. As a result, the minimum versions of some dependencies have changed:
============ ====== ====
Package Old New
============ ====== ====
Python 3.6 3.7
setuptools 38.4 40.4
numpy 1.15 1.17
pandas 0.25 1.0
dask 2.9 2.11
distributed 2.9 2.11
bottleneck 1.2 1.3
h5netcdf 0.7 0.8
iris 2.2 2.4
netcdf4 1.4 1.5
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=45
106 lines
3.4 KiB
RPMSpec
106 lines
3.4 KiB
RPMSpec
#
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# spec file for package python-xarray
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#
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# Copyright (c) 2021 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() python-%{**} python3-%{**}}
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%define skip_python2 1
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# NEP 29: Numpy 1.20 dropped support for Python 3.6, python36-numpy is removed from Tumbleweed. xarray will follow on next release
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%define skip_python36 1
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Name: python-xarray
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Version: 0.17.0
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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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BuildRequires: %{python_module numpy >= 1.15}
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BuildRequires: %{python_module numpy-devel >= 1.14}
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BuildRequires: %{python_module pandas >= 0.25}
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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
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# SECTION extras accel
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Recommends: python-scipy >= 1.3
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Recommends: python-bottleneck
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Recommends: python-numbagg
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# /SECTION
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# SECTION extras viz
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Suggests: python-matplotlib
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Suggests: python-seaborn
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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-scipy
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Suggests: python-pydap
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Suggests: python-zarr
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Suggests: python-fsspec
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Suggests: python-cftime
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Suggests: python-rasterio
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Suggests: python-cfgrib
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#/SECTION
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# SECTION tests
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BuildRequires: %{python_module dask-dataframe}
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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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donttest="(test_interpolate_chunk_advanced 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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