Accepting request 1037357 from devel:languages:python:numeric
OBS-URL: https://build.opensuse.org/request/show/1037357 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-xarray?expand=0&rev=39
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Dominique Leuenberger
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@ -1,3 +1,66 @@
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-------------------------------------------------------------------
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Tue Nov 22 13:28:48 UTC 2022 - Ben Greiner <code@bnavigator.de>
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- Update to 2022.11.0
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* This release brings a number of bugfixes and documentation
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improvements. Both text and HTML reprs now have a new "Indexes"
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section, which we expect will help with development of new
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Index objects. This release also features more support for the
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Python Array API.
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## New Features
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* Add static typing to plot accessors (GH6949, PR7052). By
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Michael Niklas.
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* Display the indexes in a new section of the text and HTML reprs
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(PR6795, PR7183, PR7185) By Justus Magin and Benoît Bovy.
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* Added methods DataArrayGroupBy.cumprod() and
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DatasetGroupBy.cumprod(). (PR5816) By Patrick Naylor
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## Breaking changes
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* repr(ds) may not show the same result because it doesn’t load
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small, lazy data anymore. Use ds.head().load() when wanting to
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see just a sample of the data. (GH6722, PR7203). By Jimmy
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Westling.
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* Many arguments of plotmethods have been made keyword-only.
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* xarray.plot.plot module renamed to xarray.plot.dataarray_plot
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to prevent shadowing of the plot method. (GH6949, PR7052). By
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Michael Niklas.
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## Deprecations
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* Positional arguments for all plot methods have been deprecated
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(GH6949, PR7052). By Michael Niklas.
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* xarray.plot.FacetGrid.axes has been renamed to
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xarray.plot.FacetGrid.axs because it’s not clear if axes refers
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to single or multiple Axes instances. This aligns with
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matplotlib.pyplot.subplots. (PR7194) By Jimmy Westling.
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## Bug fixes
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* Explicitly opening a file multiple times (e.g., after modifying
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it on disk) now reopens the file from scratch for h5netcdf and
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scipy netCDF backends, rather than reusing a cached version
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(GH4240, GH4862). By Stephan Hoyer.
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* Fixed bug where Dataset.coarsen.construct() would demote
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non-dimension coordinates to variables. (PR7233) By Tom
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Nicholas.
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* Raise a TypeError when trying to plot empty data (GH7156,
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PR7228). By Michael Niklas.
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## Internal Changes
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* Doctests fail on any warnings (PR7166) By Maximilian Roos.
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* Improve import time by lazy loading dask.distributed (:pull:
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7172).
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* Explicitly specify longdouble=False in cftime.date2num() when
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encoding times to preserve existing behavior and prevent future
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errors when it is eventually set to True by default in cftime
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(PR7171). By Spencer Clark.
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* Improved import time by lazily importing backend modules,
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matplotlib, dask.array and flox. (GH6726, PR7179) By Michael
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Niklas.
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* Emit a warning under the development version of pandas when we
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convert non-nanosecond precision datetime or timedelta values
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to nanosecond precision. This was required in the past, because
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pandas previously was not compatible with non-nanosecond
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precision values. However pandas is currently working towards
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removing this restriction. When things stabilize in pandas we
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will likely consider relaxing this behavior in xarray as well
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(GH7175, PR7201). By Spencer Clark.
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- Drop scipy-interpolate.patch: not required
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-------------------------------------------------------------------
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Tue Oct 18 22:04:32 UTC 2022 - Matej Cepl <mcepl@suse.com>
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@ -1409,6 +1472,8 @@ Sat Mar 28 16:43:47 UTC 2020 - Arun Persaud <arun@gmx.de>
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files (PR3805). By Mathias Hauser.
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+ Remove conversion to pandas.Panel, given its removal in pandas
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in favor of xarray’s objects. By Maximilian Roos
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- Add packages to the test suite so that more of the package is
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tested instead of skipping the tests.
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-------------------------------------------------------------------
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Sat Feb 1 15:02:10 UTC 2020 - Sebastian Wagner <sebix+novell.com@sebix.at>
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@ -17,7 +17,7 @@
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Name: python-xarray
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Version: 2022.10.0
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Version: 2022.11.0
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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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@ -26,57 +26,57 @@ Source: https://files.pythonhosted.org/packages/source/x/xarray/xarray-%
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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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# PATCH-FIX-UPSTREAM scipy-interpolate.patch gh#pydata/xarray#5375 mcepl@suse.com
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# Add missing import scipy.interpolate
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Patch1: scipy-interpolate.patch
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BuildRequires: %{python_module base >= 3.8}
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BuildRequires: %{python_module numpy >= 1.19}
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BuildRequires: %{python_module numpy-devel >= 1.14}
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BuildRequires: %{python_module packaging >= 20.0}
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BuildRequires: %{python_module pandas >= 1.2}
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BuildRequires: %{python_module numpy-devel >= 1.20}
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BuildRequires: %{python_module packaging >= 21.0}
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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 >= 1.19
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Requires: python-packaging >= 20.0
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Requires: python-pandas >= 1.2
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Requires: python-numpy >= 1.20
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Requires: python-packaging >= 21.0
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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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Suggests: python-dask-all >= 2021.4
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# SECTION extras accel
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Recommends: python-scipy >= 1.6
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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 >= 0.53
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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 >= 3.4
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Suggests: python-seaborn >= 0.11
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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 >= 0.11
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Suggests: python-h5netcdf
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Suggests: python-pydap
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Suggests: python-zarr >= 2.8
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Suggests: python-zarr
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Suggests: python-fsspec
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Suggests: python-cftime >= 1.4
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Suggests: python-rasterio >= 1.2
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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-distributed >= 2021.4
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Suggests: python-pint >= 0.17
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Suggests: python-sparse >= 0.12
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Suggests: python-toolz >= 0.11
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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 dask-dataframe if %python-base < 3.10}
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BuildRequires: %{python_module dask-diagnostics if %python-base < 3.10}
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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 >= 1.6}
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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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@ -103,16 +103,20 @@ chmod -x xarray/util/print_versions.py
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%check
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if [ $(getconf LONG_BIT) -eq 32 ]; then
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# precision errors on 32-bit
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# for test_resample_loffset: https://github.com/pydata/xarray/issues/5341
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donttest="((test_interpolate_chunk_advanced or test_resample_loffset) and linear)"
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# https://github.com/pydata/xarray/issues/5341
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# https://github.com/pydata/xarray/issues/5375
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# still precision problems in 2022.11.0
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donttest=" or (test_interpolate_chunk_advanced and linear)"
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# tests for 64bit types
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donttest="$donttest or TestZarrDictStore or TestZarrDirectoryStore"
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fi
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%pytest -n auto ${donttest:+ -k "not ($donttest)"} xarray
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%pytest -n auto -rsEf -k "not (kexprdummyprefix $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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@ -1,14 +0,0 @@
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---
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xarray/tests/test_interp.py | 1 +
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1 file changed, 1 insertion(+)
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--- a/xarray/tests/test_interp.py
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+++ b/xarray/tests/test_interp.py
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@@ -24,6 +24,7 @@ from .test_dataset import create_test_da
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try:
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import scipy
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+ import scipy.interpolate
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except ImportError:
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pass
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@ -1,3 +0,0 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:b39ff3475f73eaacdf831b0ab7eb6930e7b5933e46dcf71b9327f4c4bb941793
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size 3035596
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3
xarray-2022.11.0.tar.gz
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3
xarray-2022.11.0.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:3008a302877f87a0f9043b1f01a4ad4e85b668bbdd38d488764098624632f527
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size 3053924
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