2018-04-24 15:31:25 +02:00
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#
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# spec file for package python-xarray
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2021-02-15 14:28:30 +01:00
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# Copyright (c) 2021 SUSE LLC
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2018-04-24 15:31:25 +02:00
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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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Accepting request 638355 from devel:languages:python:numeric
- update to version 0.10.9:
* Enhancements
+ differentiate() and differentiate() are newly added. (GH1332) By
Keisuke Fujii.
+ Default colormap for sequential and divergent data can now be
set via set_options() (GH2394) By Julius Busecke.
+ min_count option is newly supported in sum(), prod() and sum(),
and prod(). (GH2230) By Keisuke Fujii.
+ plot() now accepts the kwargs xscale, yscale, xlim, ylim,
xticks, yticks just like Pandas. Also xincrease=False,
yincrease=False now use matplotlib’s axis inverting methods
instead of setting limits. By Deepak Cherian. (GH2224)
+ DataArray coordinates and Dataset coordinates and data variables
are now displayed as a b … y z rather than a b c d …. (GH1186)
By Seth P.
+ A new CFTimeIndex-enabled cftime_range() function for use in
generating dates from standard or non-standard calendars. By
Spencer Clark.
+ When interpolating over a datetime64 axis, you can now provide a
datetime string instead of a datetime64
object. E.g. da.interp(time='1991-02-01') (GH2284) By Deepak
Cherian.
+ A clear error message is now displayed if a set or dict is
passed in place of an array (GH2331) By Maximilian Roos.
+ Applying unstack to a large DataArray or Dataset is now much
faster if the MultiIndex has not been modified after stacking
the indices. (GH1560) By Maximilian Maahn.
+ You can now control whether or not to offset the coordinates
when using the roll method and the current behavior, coordinates
rolled by default, raises a deprecation warning unless
OBS-URL: https://build.opensuse.org/request/show/638355
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-xarray?expand=0&rev=5
2018-10-01 08:17:06 +02:00
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# Please submit bugfixes or comments via https://bugs.opensuse.org/
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2018-04-24 15:31:25 +02:00
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#
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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2019-10-24 22:10:08 +02:00
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%define skip_python2 1
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# NEP 29: Numpy 1.20 dropped support for Python 3.6, python36-numpy is removed from Tumbleweed. xarray will follow on next release
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%define skip_python36 1
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2018-04-24 15:31:25 +02:00
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Name: python-xarray
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2021-05-21 17:59:35 +02:00
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Version: 0.18.2
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2018-04-24 15:31:25 +02:00
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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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2019-09-21 22:14:20 +02:00
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URL: https://github.com/pydata/xarray
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Source: https://files.pythonhosted.org/packages/source/x/xarray/xarray-%{version}.tar.gz
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2020-02-01 16:13:57 +01:00
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BuildRequires: %{python_module numpy >= 1.15}
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2019-11-22 09:29:20 +01:00
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BuildRequires: %{python_module numpy-devel >= 1.14}
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2020-02-01 16:13:57 +01:00
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BuildRequires: %{python_module pandas >= 0.25}
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BuildRequires: %{python_module setuptools_scm}
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2018-04-24 15:31:25 +02:00
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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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2020-02-01 16:13:57 +01:00
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Requires: python-numpy >= 1.15
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Requires: python-pandas >= 0.25
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2018-05-29 10:34:57 +02:00
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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
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# SECTION extras accel
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Recommends: python-scipy >= 1.3
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Recommends: python-bottleneck
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Recommends: python-numbagg
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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-scipy
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Suggests: python-pydap
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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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#/SECTION
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# SECTION tests
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BuildRequires: %{python_module dask-dataframe}
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BuildRequires: %{python_module pytest-xdist}
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BuildRequires: %{python_module pytest}
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2018-04-24 15:31:25 +02:00
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BuildRequires: %{python_module scipy}
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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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%prep
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%autosetup -p1 -n xarray-%{version}
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chmod -x xarray/util/print_versions.py
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%build
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%python_build
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%install
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%python_install
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%python_expand %fdupes %{buildroot}%{$python_sitelib}
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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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fi
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%pytest -n auto ${donttest:+ -k "not ($donttest)"} xarray
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%files %{python_files}
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%doc README.rst
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%license LICENSE licenses/
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%{python_sitelib}/xarray
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%{python_sitelib}/xarray-%{version}*-info
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2018-04-24 15:31:25 +02:00
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%changelog
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