forked from pool/python-xarray
69cc45c6ae
- Update to 2024.3.0
## New Features
* Partial writes to existing chunks with region or append_dim
will now raise an error (unless safe_chunks=False); previously
an error would only be raised on new variables. (PR8459,
GH8371, GH8882) By Maximilian Roos.
* Grouped and resampling quantile calculations now use the
vectorized algorithm in flox>=0.9.4 if present. By Deepak
Cherian.
* Do not broadcast in arithmetic operations when global option
arithmetic_broadcast=False (GH6806, PR8784). By Etienne Schalk
and Deepak Cherian.
* Add the .oindex property to Explicitly Indexed Arrays for
orthogonal indexing functionality. (GH8238, PR8750) By Anderson
Banihirwe.
* Add the .vindex property to Explicitly Indexed Arrays for
vectorized indexing functionality. (GH8238, PR8780) By Anderson
Banihirwe.
* Expand use of .oindex and .vindex properties. (:pull: 8790) By
Anderson Banihirwe and Deepak Cherian.
* Allow creating xr.Coordinates objects with no indexes (PR8711)
By Benoit Bovy and Tom Nicholas.
* Enable plotting of datetime.dates. (GH8866, PR8873) By Sascha
Hofmann.
## Breaking changes
* Don’t allow overwriting index variables with to_zarr region
writes. (GH8589, PR8876). By Deepak Cherian.
## Bug fixes
* The default freq parameter in xr.date_range() and
xr.cftime_range() is set to 'D' only if periods, start, or end
OBS-URL: https://build.opensuse.org/request/show/1171757
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=95
220 lines
6.8 KiB
RPMSpec
220 lines
6.8 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 2024.03.0
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%{?sle15_python_module_pythons}
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Name: python-xarray%{psuffix}
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Version: 2024.3.0
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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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# PATCH-FIX-UPSTREAM xarray-pr8953-nodatatreeprune.patch gh#pydata/xarray#8953
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Patch1: xarray-pr8953-nodatatreeprune.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 >= 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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%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 >= 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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%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-%{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="$donttest or TestZarrDictStore or TestZarrDirectoryStore or TestZarrWriteEmpty"
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fi
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# h5py was built without ROS3 support, can't use ros3 driver
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donttest="$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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