forked from pool/python-xarray
Dirk Mueller
dff17e69ab
- Update to 2023.8.0
* This release brings changes to minimum dependencies, allows
reading of datasets where a dimension name is associated with a
multidimensional variable (e.g. finite volume ocean model
output), and introduces a new xarray.Coordinates object.
## Announcements
* The xarray.Variable class is being refactored out to a new
project title 'namedarray'. See the design doc for more
details. Reach out to us on this discussion topic if you have
any thoughts.
## What's Changed
* Use variable name in all exceptions raised in as_variable by
@ZedThree in #7995
* Allow opening datasets with nD dimenson coordinate variables.
by @dcherian in #7989
* join together duplicate entries in the text repr by @keewis in
#7225
* Expose "Coordinates" as part of Xarray's public API by @benbovy
in #7368
* Update interpolate_na in dataset.py by @ilgast in #7974
* Add HDF5 Section to read/write docs page by @rwegener2 in #8012
* Add examples to docstrings by @harshitha1201 in #7937
* (chore) min versions bump by @jhamman in #8022
* Automatically chunk other in GroupBy binary ops. by @dcherian
in #7684
* change cumproduct to cumprod by @quantsnus in #8031
* Reduce pre-commit update frequency to monthly from weekly. by
@dcherian in #8033
* sort when encoding coordinates for deterministic outputs by
@itcarroll in #8034
* Zarr : Allow setting write_empty_chunks by @RKuttruff in #8016
* Count documentation by @Articoking in #8057
* unpin numpy by @keewis in #8061
- Release 2023.7.0
* This release brings improvements to the documentation on
wrapping numpy-like arrays, improved docstrings, and bug fixes.
## What's Changed
* Allow cubed arrays to be passed to flox groupby by @TomNicholas
in #7941
* Duck array documentation improvements by @TomNicholas in #7911
* Docstring examples by @harshitha1201 in #7881
* Chunked array docs by @TomNicholas in #7951
* ensure no forward slashes in names for HDF5-based backends by
@kmuehlbauer in #7953
* Move absolute path finder from open_mfdataset to own function
by @Illviljan in #7968
* Skip broken tests on Python 3.11 and Windows by @Illviljan in
#7972
* Examples added to docstrings by @harshitha1201 in #7936
* Fix typo in zarr.py by @johmathe in #7983
* Improve explanation in example "Working with Multidimensional
Coordinates" by @yvonnefroehlich in #7984
* Remove hue_style from plot1d docstring by @Illviljan in #7925
- Release 2023.06.0
* This release adds features to curvefit, improves the
performance of concatenation, and fixes various bugs.
## What's Changed
* Array API fixes for astype by @TomNicholas in #7847
* Add type hints to test_dtypes by @Illviljan in #7858
* adapt the pint + dask test to the newest version of pint by
@keewis in #7855
* Avoid explicit loop when updating OrderedSet by @Illviljan in
#7857
* Improve to_dask_dataframe performance by @Illviljan in #7844
* Changed duck typing exception to: (ImportError, AttributeError)
by @vhaasteren in #7874
* defer to numpy for the expected result by @keewis in #7875
* deprecate the cdms2 conversion methods by @keewis in #7876
* Implement multidimensional initial guess and bounds for
curvefit by @mgunyho in #7821
* Improve concat performance by @Illviljan in #7824
* Fix .groupby(multi index level) by @dcherian in #7830
* don't use CacheFileManager.__del__ on interpreter shutdown by
@keewis in #7880
* fix polyfit changing the original object by @malmans2 in #7900
* Fix flaky doctest for curvefit by @mgunyho in #7893
* Ensure dtype of reindex result matches dtype of the original
DataArray by @andersy005 in #7917
* Add errors option to curvefit by @mgunyho in #7891
* CF encoding should preserve vlen dtype for empty arrays by
@tomwhite in #7862
* use trusted publishers instead of a API token by @keewis in
#7899
* Add cfgrib,ipywidgets to doc env by @dcherian in #7888
* Fix regression with grouper object on an IndexVariable by
@mwtoews in #7920
* Fix check for chunk_store in zarr backend by @juntyr in #7923
* fixing rolling_window issue with cupy by @negin513 in #7938
- Add xarray-pr8139-pandas-fill_value.patch gh#pydata/xarray#8125,
gh#pydata/xarray#8139
OBS-URL: https://build.opensuse.org/request/show/1110376
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=82
129 lines
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RPMSpec
129 lines
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RPMSpec
#
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# spec file for package python-xarray
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#
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# Copyright (c) 2023 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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%{?sle15_python_module_pythons}
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Name: python-xarray
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Version: 2023.8.0
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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 xarray-pr8139-pandas-fill_value.patch gh#pydata/xarray#8125, gh#pydata/xarray#8139
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Patch1: https://github.com/pydata/xarray/pull/8139.patch#/xarray-pr8139-pandas-fill_value.patch
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BuildRequires: %{python_module base >= 3.9}
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BuildRequires: %{python_module numpy-devel >= 1.20}
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BuildRequires: %{python_module packaging >= 21.3}
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BuildRequires: %{python_module pandas >= 1.3}
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BuildRequires: %{python_module pip}
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BuildRequires: %{python_module setuptools_scm}
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BuildRequires: %{python_module setuptools}
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BuildRequires: %{python_module wheel}
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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Requires: python-numpy >= 1.22
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Requires: python-packaging >= 21.3
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Requires: python-pandas >= 1.4
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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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# SECTION extras accel
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Recommends: python-scipy
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Recommends: python-bottleneck
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Recommends: python-flox
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Recommends: python-numbagg
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# /SECTION
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# SECTION extras parallalel
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Suggests: python-dask-complete
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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-pydap if python-base < 3.10)
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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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Suggests: python-pooch
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#/SECTION
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# SECTION tests
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BuildRequires: %{python_module Bottleneck}
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BuildRequires: %{python_module dask-dataframe}
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BuildRequires: %{python_module dask-diagnostics}
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BuildRequires: %{python_module h5netcdf}
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BuildRequires: %{python_module matplotlib}
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BuildRequires: %{python_module netCDF4}
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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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BuildRequires: %{python_module zarr}
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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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%pyproject_wheel
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%install
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%pyproject_install
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%python_expand %fdupes %{buildroot}%{$python_sitelib}
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%check
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# obs file open race conditions?
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donttest="(test_open_mfdataset_manyfiles and (h5netcdf or netCDF4))"
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if [ $(getconf LONG_BIT) -eq 32 ]; then
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# https://github.com/pydata/xarray/issues/5341
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# https://github.com/pydata/xarray/issues/5375
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# still precision problems in 2022.11.0
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donttest="$donttest or (test_interpolate_chunk_advanced and linear)"
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# tests for 64bit types
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donttest="$donttest or TestZarrDictStore or TestZarrDirectoryStore or TestZarrWriteEmpty"
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fi
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%pytest -n auto -rsEf -k "not ($donttest)" xarray
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%files %{python_files}
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%doc README.md
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%license LICENSE licenses/
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%{python_sitelib}/xarray
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%{python_sitelib}/xarray-%{version}.dist-info
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%changelog
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