1b835a8f4a
- remove test_resample_loffset.patch, merged upstream.
- update to version 0.19.0:
- This release brings improvements to plotting of categorical data, the ability to specify how attributes:
- are combined in xarray operations, a new high-level :py:func:`unify_chunks` function, as well as various:
- deprecations, bug fixes, and minor improvements.:
- Many thanks to the 29 contributors to this release!:
- Andrew Williams, Augustus, Aureliana Barghini, Benoit Bovy, crusaderky, Deepak Cherian, ellesmith88,:
- Elliott Sales de Andrade, Giacomo Caria, github-actions[bot], Illviljan, Joeperdefloep, joooeey, Julia Kent,:
- Julius Busecke, keewis, Mathias Hauser, Matthias Göbel, Mattia Almansi, Maximilian Roos, Peter Andreas Entschev,:
- Ray Bell, Sander, Santiago Soler, Sebastian, Spencer Clark, Stephan Hoyer, Thomas Hirtz, Thomas Nicholas.:
- New Features:
- Allow passing argument ``missing_dims`` to :py:meth:`Variable.transpose` and :py:meth:`Dataset.transpose`
(:issue:`5550`, :pull:`5586`)
By `Giacomo Caria <https://github.com/gcaria>`_.
- Allow passing a dictionary as coords to a :py:class:`DataArray` (:issue:`5527`,
reverts :pull:`1539`, which had deprecated this due to python's inconsistent ordering in earlier versions).
By `Sander van Rijn <https://github.com/sjvrijn>`_.
- Added :py:meth:`Dataset.coarsen.construct`, :py:meth:`DataArray.coarsen.construct` (:issue:`5454`, :pull:`5475`).
By `Deepak Cherian <https://github.com/dcherian>`_.
- Xarray now uses consolidated metadata by default when writing and reading Zarr
stores (:issue:`5251`).
By `Stephan Hoyer <https://github.com/shoyer>`_.
- New top-level function :py:func:`unify_chunks`.
By `Mattia Almansi <https://github.com/malmans2>`_.
- Allow assigning values to a subset of a dataset using positional or label-based
indexing (:issue:`3015`, :pull:`5362`).
By `Matthias Göbel <https://github.com/matzegoebel>`_.
- Attempting to reduce a weighted object over missing dimensions now raises an error (:pull:`5362`).
By `Mattia Almansi <https://github.com/malmans2>`_.
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=56
115 lines
3.9 KiB
RPMSpec
115 lines
3.9 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() 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: 0.19.0
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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 >= 1.15}
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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 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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