6c35ab0ce3
- Update to 2022.12.0
* This release includes a number of bug fixes and experimental
support for Zarr V3.
## New Features
* Enable using offset and origin arguments in
DataArray.resample() and Dataset.resample() (GH7266, PR7284).
By Spencer Clark.
* Add experimental support for Zarr’s in-progress V3
specification. (PR6475). By Gregory Lee and Joe Hamman.
## Breaking changes
* The minimum versions of some dependencies were changed
(PR7300):
## Deprecations
* The PyNIO backend has been deprecated (GH4491, PR7301). By Joe
Hamman.
## Bug fixes
* Fix handling of coordinate attributes in where(). (GH7220,
PR7229) By Sam Levang.
* Import nc_time_axis when needed (GH7275, PR7276). By Michael
Niklas.
* Fix static typing of xr.polyval() (GH7312, PR7315). By Michael
Niklas.
* Fix multiple reads on fsspec S3 files by resetting file pointer
to 0 when reading file streams (GH6813, PR7304). By David Hoese
and Wei Ji Leong.
* Fix Dataset.assign_coords() resetting all dimension coordinates
to default (pandas) index (GH7346, PR7347). By Benoît Bovy.
OBS-URL: https://build.opensuse.org/request/show/1056773
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=76
125 lines
4.2 KiB
RPMSpec
125 lines
4.2 KiB
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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Name: python-xarray
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Version: 2022.12.0
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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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BuildRequires: %{python_module base >= 3.8}
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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 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 >= 1.20
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Requires: python-packaging >= 21.3
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Requires: python-pandas >= 1.3
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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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%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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# OOM crashes the whole vm or even the local host running osc: https://github.com/pydata/xarray/issues/6854
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donttest="nczarr"
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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="$donttest or TestZarrDictStore or TestZarrDirectoryStore"
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fi
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%pytest -n auto -rsEf -k "not ($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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%exclude %{python_sitelib}/xarray/tests
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%{python_sitelib}/xarray-%{version}*-info
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%changelog
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