Accepting request 1152304 from home:bnavigator:branches:devel:languages:python:numeric
- Update to 2024.2.0
* This release brings size information to the text repr, changes
to the accepted frequency strings, and various bug fixes.
## New Features
* Added a simple nbytes representation in DataArrays and Dataset
repr. (GH8690, PR8702). By Etienne Schalk.
* Allow negative frequency strings (e.g. "-1YE"). These strings
are for example used in date_range(), and cftime_range()
(PR8651). By Mathias Hauser.
* Add NamedArray.expand_dims(), NamedArray.permute_dims() and
NamedArray.broadcast_to() (PR8380) By Anderson Banihirwe.
* Xarray now defers to flox’s heuristics to set the default
method for groupby problems. This only applies to flox>=0.9. By
Deepak Cherian.
* All quantile methods (e.g. DataArray.quantile()) now use
numbagg for the calculation of nanquantiles (i.e., skipna=True)
if it is installed. This is currently limited to the linear
interpolation method (method=’linear’). (GH7377, PR8684) By
Marco Wolsza.
## Breaking changes
* infer_freq() always returns the frequency strings as defined in
pandas 2.2 (GH8612, PR8627). By Mathias Hauser.
* Deprecations
* The dt.weekday_name parameter wasn’t functional on modern
pandas versions and has been removed. (GH8610, PR8664) By Sam
Coleman.
## Bug fixes
* Fixed a regression that prevented multi-index level coordinates
being serialized after resetting or dropping the multi-index
(GH8628, PR8672). By Benoit Bovy.
OBS-URL: https://build.opensuse.org/request/show/1152304
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=90
This commit is contained in:
Git OBS Bridge
@@ -16,9 +16,18 @@
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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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%{?sle15_python_module_pythons}
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Name: python-xarray
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Version: 2023.12.0
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Name: python-xarray%{psuffix}
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Version: 2024.2.0
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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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@@ -28,58 +37,20 @@ Source: https://files.pythonhosted.org/packages/source/x/xarray/xarray-%
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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 numpy-devel >= 1.22}
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BuildRequires: %{python_module packaging >= 21.3}
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BuildRequires: %{python_module pandas >= 1.4}
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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 >= 1.22
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Requires: python-packaging >= 21.3
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Requires: python-pandas >= 1.4
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Provides: python-xray = %{version}
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Obsoletes: python-xray < %{version}
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Requires: python-numpy >= 1.23
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Requires: python-packaging >= 22
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Requires: python-pandas >= 1.5
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Obsoletes: python-xray <= 0.7
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BuildArch: noarch
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# SECTION extras accel
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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
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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
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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
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Suggests: (python-pydap if python-base < 3.10)
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Suggests: python-zarr
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Suggests: python-fsspec
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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-pooch
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#/SECTION
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# SECTION tests
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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}
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BuildRequires: %{python_module zarr}
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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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@@ -92,18 +63,113 @@ 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 >= 1.3
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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 >= 0.7
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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 >= 1.6
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Requires: python-fsspec
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Requires: python-h5netcdf >= 1.1
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Requires: python-netCDF4 >= 1.6
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Requires: python-pooch
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Requires: python-scipy >= 1.10
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Requires: python-xarray = %{version}
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Requires: python-zarr >= 2.13
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Requires: (python-pydap >= 3.3 if python-base < 3.10)
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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 >= 2022.12
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Requires: python-xarray = %{version}
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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 >= 3.6
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Requires: python-seaborn >= 0.12
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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-%{version}
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%if "%{version}" == "2024.2.0"
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# gh#pydata/xarray#8768, remove this after the next update!
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rm -r xarray/tests/datatree
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%else
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echo "You failed to update the specfile"
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exit 1
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%endif
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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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@@ -117,12 +183,42 @@ if [ $(getconf LONG_BIT) -eq 32 ]; then
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fi
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# h5py was built without ROS3 support, can't use ros3 driver
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donttest="$donttest or TestH5NetCDFDataRos3Driver"
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%pytest -n auto -rsEf -k "not ($donttest)" xarray
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# NetCDF4 fails with these unsupported drivers
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donttest="$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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