# # spec file for package python-xarray # # Copyright (c) 2021 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 # NEP 29: Numpy 1.20 dropped support for Python 3.6, python36-numpy is removed from Tumbleweed. xarray will follow on next release %define skip_python36 1 Name: python-xarray Version: 0.19.0 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 >= 1.15} BuildRequires: %{python_module numpy-devel >= 1.14} BuildRequires: %{python_module pandas >= 0.25} 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 # SECTION extras accel Recommends: python-scipy >= 1.3 Recommends: python-bottleneck Recommends: python-numbagg # /SECTION # SECTION extras viz Suggests: python-matplotlib Suggests: python-seaborn Suggests: python-nc-time-axis #/SECTION # SECTION extras io Suggests: python-netCDF4 Suggests: python-h5netcdf Suggests: python-scipy Suggests: python-pydap Suggests: python-zarr Suggests: python-fsspec Suggests: python-cftime Suggests: python-rasterio Suggests: python-cfgrib #/SECTION # SECTION tests BuildRequires: %{python_module dask-dataframe} 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