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python-xarray/python-xarray.spec
Sebastian Wagner d3af5d70ef - Update to 2024.7.0 
* Add test for rechunking to a size string by @dcherian in #9117
  * Update docstring in api.py for open_mfdataset(), clarifying
    "chunks" argument by @arthur-e in #9121
  * Grouper refactor by @dcherian in #9122
  * adjust repr tests to account for different platforms (#9127) by
    @mgorny in #9128
  * Support duplicate dimensions in .chunk by @mraspaud in #9099
  * Update zendoo badge link by @max-sixty in #9133
  * Split out distributed writes in zarr docs by @max-sixty in
    #9132
  * Improve to_zarr docs by @max-sixty in #9139
  * groupby: remove some internal use of IndexVariable by @dcherian
    in #9123
  * Improve zarr chunks docs by @max-sixty in #9140
  * Include numbagg in type checks by @max-sixty in #9159
  * Remove mypy exclusions for a couple more libraries by
    @max-sixty in #9160
  * Add test for #9155 by @max-sixty in #9161
  * switch to datetime unit "D" by @keewis in #9170
  * Slightly improve DataTree repr by @shoyer in #9064
  * Fix example code formatting for CachingFileManager by @djhoese
    in #9178
  * Change np.core.defchararray to np.char (#9165) by @pont-us in
    #9166
  * temporarily remove pydap from CI by @keewis in #9183
  * also pin numpy in the all-but-dask CI by @keewis in #9184
  * promote floating-point numeric datetimes to 64-bit before
    decoding by @keewis in #9182
  * "source" encoding for datasets opened from fsspec objects by

OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=99
2024-09-04 13:02:54 +00:00

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#
# spec file for package python-xarray
#
# Copyright (c) 2024 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/
#
%global flavor @BUILD_FLAVOR@%{nil}
%if "%{flavor}" == "test"
%bcond_without test
%define psuffix -test
%else
%bcond_with test
%define psuffix %{nil}
%endif
%define ghversion 2024.07.0
%{?sle15_python_module_pythons}
Name: python-xarray%{psuffix}
Version: 2024.7.0
Release: 0
Summary: N-D labeled arrays and datasets in Python
License: Apache-2.0
URL: https://github.com/pydata/xarray
Source: https://github.com/pydata/xarray/archive/refs/tags/v%{ghversion}.tar.gz#/xarray-%{ghversion}-gh.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 xarray-pr9321-dasktests.patch gh#pydata/xarray#9321
Patch1: xarray-pr9321-dasktests.patch
# PATCH-FIX-UPSTREAM xarray-pr9356-dasktests.patch gh#pydata/xarray#9356
Patch2: xarray-pr9356-dasktests.patch
# PATCH-FIX-UPSTREAM xarray-pr9403-np2.1-scalar.patch gh#pydata/xarray#9403
Patch3: xarray-pr9403-np2.1-scalar.patch
BuildRequires: %{python_module base >= 3.9}
BuildRequires: %{python_module pip}
BuildRequires: %{python_module setuptools_scm}
BuildRequires: %{python_module setuptools}
BuildRequires: %{python_module wheel}
BuildRequires: fdupes
BuildRequires: python-rpm-macros
Requires: python-numpy >= 1.23
Requires: python-packaging >= 23.1
Requires: python-pandas >= 2
Obsoletes: python-xray <= 0.7
BuildArch: noarch
%if %{with test}
BuildRequires: %{python_module xarray-complete = %{version}}
%endif
# /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.
%package accel
# for minimum versions, check ci/requirements/min-all-deps.yml
Summary: The python xarray[accel] extra
Requires: python-Bottleneck
Requires: python-opt-einsum
Requires: python-scipy
Requires: python-xarray = %{version}
# not available yet
Recommends: python-flox
Recommends: python-numbagg
%description accel
The [accel] extra for xarray, N-D labeled arrays and datasets in Python
Except flox and numbagg, because they are not packaged yet.
Use `pip-%{python_bin_suffix} --user install flox numbagg` to install from PyPI, if needed.
%package complete
Summary: The python xarray[complete] extra
Requires: python-xarray = %{version}
Requires: python-xarray-accel = %{version}
Requires: python-xarray-dev = %{version}
Requires: python-xarray-io = %{version}
Requires: python-xarray-parallel = %{version}
Requires: python-xarray-viz = %{version}
%description complete
The [complete] extra for xarray, N-D labeled arrays and datasets in Python
%package dev
Summary: The python xarray[dev] extra
Requires: python-hypothesis
Requires: python-pytest
Requires: python-pytest-cov
Requires: python-pytest-env
Requires: python-pytest-timeout
Requires: python-pytest-xdist
Requires: python-ruff
Requires: python-xarray = %{version}
Requires: python-xarray-complete = %{version}
# Not available and not really useful for us
Recommends: python-pre-commit
%description dev
The [dev] extra for xarray, N-D labeled arrays and datasets in Python
Except pre-commit, Use `pip-%{python_bin_suffix} --user install pre-commit` to install, if needed.
%package io
Summary: The python xarray[io] extra
Requires: python-cftime
Requires: python-fsspec
Requires: python-h5netcdf
Requires: python-netCDF4
Requires: python-pooch
Requires: python-scipy
Requires: python-xarray = %{version}
Requires: python-zarr
%description io
The [io] extra for xarray, N-D labeled arrays and datasets in Python
%package parallel
Summary: The python xarray[parallel] extra
Requires: python-dask-complete
Requires: python-xarray = %{version}
%description parallel
The [parallel] extra for xarray, N-D labeled arrays and datasets in Python
%package viz
Summary: The python xarray[viz] extra
Requires: python-matplotlib
Requires: python-seaborn
Requires: python-xarray = %{version}
# Not available yet
Recommends: python-nc-time-axis
%description viz
The [viz] extra for xarray, N-D labeled arrays and datasets in Python
Except nc-time-axis, because it's not packaged yet.
Use `pip-%{python_bin_suffix} --user install nc-time-axis` to install from PyPI, if needed.
%prep
%autosetup -p1 -n xarray-%{ghversion}
chmod -x xarray/util/print_versions.py
%build
%if !%{with test}
%pyproject_wheel
%endif
%install
%if !%{with test}
%pyproject_install
%python_expand %fdupes %{buildroot}%{$python_sitelib}
%endif
%if %{with test}
%check
# obs file open race conditions?
donttest="(test_open_mfdataset_manyfiles and (h5netcdf or netCDF4))"
if [ $(getconf LONG_BIT) -eq 32 ]; then
# https://github.com/pydata/xarray/issues/5341
# https://github.com/pydata/xarray/issues/5375
# still precision problems in 2022.11.0
donttest="$donttest or (test_interpolate_chunk_advanced and linear)"
# tests for 64bit types
donttest="$donttest or TestZarrDictStore or TestZarrDirectoryStore or TestZarrWriteEmpty"
donttest="$donttest or test_repr_multiindex or test_array_repr_dtypes_unix"
fi
# h5py was built without ROS3 support, can't use ros3 driver
donttest="$donttest or TestH5NetCDFDataRos3Driver"
# NetCDF4 fails with these unsupported drivers
donttest="$donttest or (TestNetCDF4 and test_compression_encoding and (szip or zstd or blosc_lz or blosc_zlib))"
%pytest -n auto -rsEf -k "not ($donttest)" xarray
%endif
%if !%{with test}
%files %{python_files}
%doc README.md
%license LICENSE licenses/
%{python_sitelib}/xarray
%{python_sitelib}/xarray-%{version}.dist-info
%files %{python_files accel}
%doc README.md
%license LICENSE
%files %{python_files complete}
%doc README.md
%license LICENSE
%files %{python_files dev}
%doc README.md
%license LICENSE
%files %{python_files io}
%doc README.md
%license LICENSE
%files %{python_files parallel}
%doc README.md
%license LICENSE
%files %{python_files viz}
%doc README.md
%license LICENSE
%endif
%changelog
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