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python-xarray/python-xarray.spec
Sebastian Wagner 6d26ccab4e - update to version 2022.03.0: 
- This release brings a number of small improvements, as well as a move to `calendar versioning <https://calver.org/>`_ (:issue:`6176`).:
 - Many thanks to the 16 contributors to the v2022.02.0 release!:
 - Aaron Spring, Alan D. Snow, Anderson Banihirwe, crusaderky, Illviljan, Joe Hamman, Jonas Gliß,:
 - Lukas Pilz, Martin Bergemann, Mathias Hauser, Maximilian Roos, Romain Caneill, Stan West, Stijn Van Hoey,:
 - Tobias Kölling, and Tom Nicholas.:
 - New Features:
  - Enabled multiplying tick offsets by floats. Allows ``float`` ``n`` in
    :py:meth:`CFTimeIndex.shift` if ``shift_freq`` is between ``Day``
    and ``Microsecond``. (:issue:`6134`, :pull:`6135`).
    By `Aaron Spring <https://github.com/aaronspring>`_.
  - Enbable to provide more keyword arguments to `pydap` backend when reading
    OpenDAP datasets (:issue:`6274`).
    By `Jonas Gliß <https://github.com/jgliss>`.
  - Allow :py:meth:`DataArray.drop_duplicates` to drop duplicates along multiple dimensions at once,
    and add :py:meth:`Dataset.drop_duplicates`. (:pull:`6307`)
    By `Tom Nicholas <https://github.com/TomNicholas>`_.
 - Breaking changes:
  - Renamed the ``interpolation`` keyword of all ``quantile`` methods (e.g. :py:meth:`DataArray.quantile`)
    to ``method`` for consistency with numpy v1.22.0 (:pull:`6108`).
    By `Mathias Hauser <https://github.com/mathause>`_.
 - Deprecations:
 - Bug fixes:
  - Variables which are chunked using dask in larger (but aligned) chunks than the target zarr chunk size
    can now be stored using `to_zarr()` (:pull:`6258`) By `Tobias Kölling <https://github.com/d70-t>`_.
  - Multi-file datasets containing encoded :py:class:`cftime.datetime` objects can be read in parallel again (:issue:`6226`, :pull:`6249`, :pull:`6305`).  By `Martin Bergemann <https://github.com/antarcticrainforest>`_ and `Stan West <https://github.com/stanwest>`_.
 - Documentation:
  - Delete files of datasets saved to disk while building the documentation and enable
    building on Windows via `sphinx-build` (:pull:`6237`).
    By `Stan West <https://github.com/stanwest>`_.
 - Internal Changes:
- update to version 0.21.1:
 - This is a bugfix release to resolve (:issue:`6216`, :pull:`6207`).:
 - Bug fixes:
  - Add `packaging` as a dependency to Xarray (:issue:`6216`, :pull:`6207`).
    By `Sebastian Weigand <https://github.com/s-weigand>`_ and `Joe Hamman <https://github.com/jhamman>`_.

OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=65
2022-03-04 18:01:07 +00:00

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#
# spec file for package python-xarray
#
# Copyright (c) 2022 SUSE LLC
#
# All modifications and additions to the file contributed by third parties
# remain the property of their copyright owners, unless otherwise agreed
# upon. The license for this file, and modifications and additions to the
# file, is the same license as for the pristine package itself (unless the
# license for the pristine package is not an Open Source License, in which
# case the license is the MIT License). An "Open Source License" is a
# license that conforms to the Open Source Definition (Version 1.9)
# published by the Open Source Initiative.
# Please submit bugfixes or comments via https://bugs.opensuse.org/
#
%{?!python_module:%define python_module() python3-%{**}}
%define skip_python2 1
Name: python-xarray
Version: 2022.3.0
Release: 0
Summary: N-D labeled arrays and datasets in Python
License: Apache-2.0
URL: https://github.com/pydata/xarray
Source: https://files.pythonhosted.org/packages/source/x/xarray/xarray-%{version}.tar.gz
# PATCH-FEATURE-UPSTREAM local_dataset.patch gh#pydata/xarray#5377 mcepl@suse.com
# fix xr.tutorial.open_dataset to work with the preloaded cache.
Patch0: local_dataset.patch
# PATCH-FIX-UPSTREAM scipy-interpolate.patch gh#pydata/xarray#5375 mcepl@suse.com
# Add missing import scipy.interpolate
Patch1: scipy-interpolate.patch
BuildRequires: %{python_module numpy >= 1.18}
BuildRequires: %{python_module numpy-devel >= 1.14}
BuildRequires: %{python_module pandas >= 1.1}
BuildRequires: %{python_module setuptools_scm}
BuildRequires: %{python_module setuptools}
BuildRequires: fdupes
BuildRequires: python-rpm-macros
Requires: python-numpy >= 1.15
Requires: python-pandas >= 0.25
Provides: python-xray = %{version}
Obsoletes: python-xray < %{version}
BuildArch: noarch
Suggests: python-dask-all >= 2.30
# SECTION extras accel
Recommends: python-scipy >= 1.5
Recommends: python-bottleneck
Recommends: python-numbagg >= 0.51
# /SECTION
# SECTION extras viz
Suggests: python-matplotlib >= 3.3
Suggests: python-seaborn >= 0.11
Suggests: python-nc-time-axis
#/SECTION
# SECTION extras io
Suggests: python-netCDF4
Suggests: python-h5netcdf
Suggests: python-pydap
Suggests: python-zarr >= 2.5
Suggests: python-fsspec
Suggests: python-cftime >= 1.2
Suggests: python-rasterio
Suggests: python-cfgrib
Suggests: python-distributed >= 2.30
Suggests: python-pint >= 0.16
Suggests: python-sparse >= 0.11
Suggests: python-toolz >= 0.11
#/SECTION
# SECTION tests
BuildRequires: %{python_module dask-dataframe if %python-base < 3.10}
BuildRequires: %{python_module dask-diagnostics if %python-base < 3.10}
BuildRequires: %{python_module pooch}
BuildRequires: %{python_module pytest-xdist}
BuildRequires: %{python_module pytest}
BuildRequires: %{python_module scipy}
# /SECTION
%python_subpackages
%description
xarray (formerly xray) is a python-pandas-like and pandas-compatible
toolkit for analytics on multi-dimensional arrays. It provides
N-dimensional variants of the python-pandas labeled data structures,
rather than the tabular data that pandas uses.
The Common Data Model for self-describing scientific data is used.
The dataset is an in-memory representation of a netCDF file.
%prep
%autosetup -p1 -n xarray-%{version}
chmod -x xarray/util/print_versions.py
%build
%python_build
%install
%python_install
%python_expand %fdupes %{buildroot}%{$python_sitelib}
%check
if [ $(getconf LONG_BIT) -eq 32 ]; then
# precision errors on 32-bit
# for test_resample_loffset: https://github.com/pydata/xarray/issues/5341
donttest="((test_interpolate_chunk_advanced or test_resample_loffset) and linear)"
fi
%pytest -n auto ${donttest:+ -k "not ($donttest)"} xarray
%files %{python_files}
%doc README.rst
%license LICENSE licenses/
%{python_sitelib}/xarray
%{python_sitelib}/xarray-%{version}*-info
%changelog
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