6297a9ddc6
- This release brings better support for wrapping JAX arrays and Astropy Quantity objects, :py:meth:`DataTree.persist`, algorithmic improvements:
- to many methods with dask (:py:meth:`Dataset.polyfit`, :py:meth:`Dataset.ffill`, :py:meth:`Dataset.bfill`, rolling reductions), and bug fixes.:
- Thanks to the 22 contributors to this release:
- Benoit Bovy, Deepak Cherian, Dimitri Papadopoulos Orfanos, Holly Mandel, James Bourbeau, Joe Hamman, Justus Magin, Kai Mühlbauer, Lukas Trippe, Mathias Hauser, Maximilian Roos, Michael Niklas, Pascal Bourgault, Patrick Hoefler, Sam Levang, Sarah Charlotte Johnson, Scott Huberty, Stephan Hoyer, Tom Nicholas, Virgile Andreani, joseph nowak and tvo:
- New Features:
- Added :py:meth:`DataTree.persist` method (:issue:`9675`, :pull:`9682`).
By `Sam Levang <https://github.com/slevang>`_.
- Added ``write_inherited_coords`` option to :py:meth:`DataTree.to_netcdf`
and :py:meth:`DataTree.to_zarr` (:pull:`9677`).
By `Stephan Hoyer <https://github.com/shoyer>`_.
- Support lazy grouping by dask arrays, and allow specifying ordered groups with ``UniqueGrouper(labels=["a", "b", "c"])``
(:issue:`2852`, :issue:`757`).
By `Deepak Cherian <https://github.com/dcherian>`_.
- Add new ``automatic_rechunk`` kwarg to :py:meth:`DataArrayRolling.construct` and
:py:meth:`DatasetRolling.construct`. This is only useful on ``dask>=2024.11.0``
(:issue:`9550`). By `Deepak Cherian <https://github.com/dcherian>`_.
- Optimize ffill, bfill with dask when limit is specified
(:pull:`9771`).
By `Joseph Nowak <https://github.com/josephnowak>`_, and
`Patrick Hoefler <https://github.com/phofl>`_.
- Allow wrapping ``np.ndarray`` subclasses, e.g. ``astropy.units.Quantity`` (:issue:`9704`, :pull:`9760`).
By `Sam Levang <https://github.com/slevang>`_ and `Tien Vo <https://github.com/tien-vo>`_.
- Optimize :py:meth:`DataArray.polyfit` and :py:meth:`Dataset.polyfit` with dask, when used with
arrays with more than two dimensions.
(:issue:`5629`). By `Deepak Cherian <https://github.com/dcherian>`_.
- Support for directly opening remote files as string paths (for example, ``s3://bucket/data.nc``)
with ``fsspec`` when using the ``h5netcdf`` engine (:issue:`9723`, :pull:`9797`).
By `James Bourbeau <https://github.com/jrbourbeau>`_.
- Re-implement the :py:mod:`ufuncs` module, which now dynamically dispatches to the
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=104
223 lines
6.7 KiB
RPMSpec
223 lines
6.7 KiB
RPMSpec
#
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# spec file for package python-xarray
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#
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# Copyright (c) 2024 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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%global flavor @BUILD_FLAVOR@%{nil}
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%if "%{flavor}" == "test"
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%bcond_without test
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%define psuffix -test
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%else
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%bcond_with test
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%define psuffix %{nil}
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%endif
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%define ghversion 2024.11.0
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%{?sle15_python_module_pythons}
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Name: python-xarray%{psuffix}
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Version: 2024.11.0
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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://github.com/pydata/xarray/archive/refs/tags/v%{ghversion}.tar.gz#/xarray-%{ghversion}-gh.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 >= 3.9}
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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 >= 1.23
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Requires: python-packaging >= 23.1
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Requires: python-pandas >= 2
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Obsoletes: python-xray <= 0.7
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BuildArch: noarch
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%if %{with test}
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BuildRequires: %{python_module xarray-complete = %{version}}
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%endif
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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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%package accel
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# for minimum versions, check ci/requirements/min-all-deps.yml
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Summary: The python xarray[accel] extra
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Requires: python-Bottleneck
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Requires: python-opt-einsum
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Requires: python-scipy
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Requires: python-xarray = %{version}
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# not available yet
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Recommends: python-flox
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Recommends: python-numbagg
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%description accel
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The [accel] extra for xarray, N-D labeled arrays and datasets in Python
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Except flox and numbagg, because they are not packaged yet.
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Use `pip-%{python_bin_suffix} --user install flox numbagg` to install from PyPI, if needed.
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%package complete
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Summary: The python xarray[complete] extra
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Requires: python-xarray = %{version}
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Requires: python-xarray-accel = %{version}
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Requires: python-xarray-dev = %{version}
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Requires: python-xarray-io = %{version}
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#Requires: python-xarray-parallel = %%{version}
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Requires: python-xarray-viz = %{version}
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%description complete
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The [complete] extra for xarray, N-D labeled arrays and datasets in Python
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%package dev
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Summary: The python xarray[dev] extra
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Requires: python-hypothesis
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Requires: python-pytest
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Requires: python-pytest-cov
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Requires: python-pytest-env
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Requires: python-pytest-timeout
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Requires: python-pytest-xdist
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Requires: python-ruff
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Requires: python-xarray = %{version}
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Requires: python-xarray-complete = %{version}
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# Not available and not really useful for us
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Recommends: python-pre-commit
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%description dev
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The [dev] extra for xarray, N-D labeled arrays and datasets in Python
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Except pre-commit, Use `pip-%{python_bin_suffix} --user install pre-commit` to install, if needed.
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%package io
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Summary: The python xarray[io] extra
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Requires: python-cftime
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Requires: python-fsspec
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Requires: python-h5netcdf
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Requires: python-netCDF4
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Requires: python-pooch
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Requires: python-scipy
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Requires: python-xarray = %{version}
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Requires: python-zarr
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%description io
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The [io] extra for xarray, N-D labeled arrays and datasets in Python
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#%%package parallel
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#Summary: The python xarray[parallel] extra
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#Requires: python-dask-complete
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#Requires: python-xarray = %%{version}
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#
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#%description parallel
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#The [parallel] extra for xarray, N-D labeled arrays and datasets in Python
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%package viz
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Summary: The python xarray[viz] extra
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Requires: python-matplotlib
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Requires: python-seaborn
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Requires: python-xarray = %{version}
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# Not available yet
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Recommends: python-nc-time-axis
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%description viz
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The [viz] extra for xarray, N-D labeled arrays and datasets in Python
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Except nc-time-axis, because it's not packaged yet.
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Use `pip-%{python_bin_suffix} --user install nc-time-axis` to install from PyPI, if needed.
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%prep
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%autosetup -p1 -n xarray-%{ghversion}
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chmod -x xarray/util/print_versions.py
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%build
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%if !%{with test}
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%pyproject_wheel
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%endif
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%install
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%if !%{with test}
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%pyproject_install
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%python_expand %fdupes %{buildroot}%{$python_sitelib}
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%endif
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%if %{with test}
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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="$donttest or TestZarrDictStore or TestZarrDirectoryStore or TestZarrWriteEmpty"
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donttest="$donttest or test_repr_multiindex or test_array_repr_dtypes_unix"
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fi
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# h5py was built without ROS3 support, can't use ros3 driver
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donttest="$donttest or TestH5NetCDFDataRos3Driver"
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# NetCDF4 fails with these unsupported drivers
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donttest="$donttest or (TestNetCDF4 and test_compression_encoding and (szip or zstd or blosc_lz or blosc_zlib))"
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%pytest -n auto -rsEf -k "not ($donttest)" xarray
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%endif
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%if !%{with test}
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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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%files %{python_files accel}
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%doc README.md
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%license LICENSE
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%files %{python_files complete}
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%doc README.md
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%license LICENSE
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%files %{python_files dev}
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%doc README.md
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%license LICENSE
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%files %{python_files io}
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%doc README.md
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%license LICENSE
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#%%files %%{python_files parallel}
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#%doc README.md
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#%%license LICENSE
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%files %{python_files viz}
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%doc README.md
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%license LICENSE
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%endif
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%changelog
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