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
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<multibuild>
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<package>test</package>
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</multibuild>
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@ -1,3 +1,108 @@
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-------------------------------------------------------------------
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Tue Feb 27 10:56:32 UTC 2024 - Ben Greiner <code@bnavigator.de>
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- Update to 2024.2.0
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* This release brings size information to the text repr, changes
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to the accepted frequency strings, and various bug fixes.
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## New Features
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* Added a simple nbytes representation in DataArrays and Dataset
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repr. (GH8690, PR8702). By Etienne Schalk.
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* Allow negative frequency strings (e.g. "-1YE"). These strings
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are for example used in date_range(), and cftime_range()
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(PR8651). By Mathias Hauser.
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* Add NamedArray.expand_dims(), NamedArray.permute_dims() and
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NamedArray.broadcast_to() (PR8380) By Anderson Banihirwe.
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* Xarray now defers to flox’s heuristics to set the default
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method for groupby problems. This only applies to flox>=0.9. By
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Deepak Cherian.
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* All quantile methods (e.g. DataArray.quantile()) now use
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numbagg for the calculation of nanquantiles (i.e., skipna=True)
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if it is installed. This is currently limited to the linear
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interpolation method (method=’linear’). (GH7377, PR8684) By
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Marco Wolsza.
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## Breaking changes
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* infer_freq() always returns the frequency strings as defined in
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pandas 2.2 (GH8612, PR8627). By Mathias Hauser.
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* Deprecations
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* The dt.weekday_name parameter wasn’t functional on modern
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pandas versions and has been removed. (GH8610, PR8664) By Sam
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Coleman.
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## Bug fixes
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* Fixed a regression that prevented multi-index level coordinates
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being serialized after resetting or dropping the multi-index
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(GH8628, PR8672). By Benoit Bovy.
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* Fix bug with broadcasting when wrapping array API-compliant
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classes. (GH8665, PR8669) By Tom Nicholas.
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* Ensure DataArray.unstack() works when wrapping array
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API-compliant classes. (GH8666, PR8668) By Tom Nicholas.
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* Fix negative slicing of Zarr arrays without dask installed.
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(GH8252) By Deepak Cherian.
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* Preserve chunks when writing time-like variables to zarr by
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enabling lazy CF encoding of time-like variables (GH7132,
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GH8230, GH8432, PR8575). By Spencer Clark and Mattia Almansi.
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* Preserve chunks when writing time-like variables to zarr by
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enabling their lazy encoding (GH7132, GH8230, GH8432, PR8253,
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PR8575; see also discussion in PR8253). By Spencer Clark and
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Mattia Almansi.
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* Raise an informative error if dtype encoding of time-like
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variables would lead to integer overflow or unsafe conversion
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from floating point to integer values (GH8542, PR8575). By
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Spencer Clark.
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* Raise an error when unstacking a MultiIndex that has duplicates
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as this would lead to silent data loss (GH7104, PR8737). By
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Mathias Hauser.
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- Release 2024.1.1
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## Breaking changes
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* Following pandas, infer_freq() will return "YE", instead of "Y"
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(formerly "A"). This is to be consistent with the deprecation
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of the latter frequency string in pandas 2.2. This is a follow
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up to PR8415 (GH8612, PR8642). By Mathias Hauser.
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## Deprecations
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* Following pandas, the frequency string "Y" (formerly "A") is
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deprecated in favor of "YE". These strings are used, for
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example, in date_range(), cftime_range(), DataArray.resample(),
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and Dataset.resample() among others (GH8612, PR8629). By
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Mathias Hauser.
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- Release 2024.1.0
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* This release brings support for weights in correlation and
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covariance functions, a new DataArray.cumulative aggregation,
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improvements to xr.map_blocks, an update to our minimum
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dependencies, and various bugfixes.
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## New Features
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* xr.cov() and xr.corr() now support using weights (GH8527,
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PR7392). By Llorenç Lledó.
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* Accept the compression arguments new in netCDF 1.6.0 in the
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netCDF4 backend. See netCDF4 documentation for details. Note
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that some new compression filters needs plugins to be installed
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which may not be available in all netCDF distributions. By
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Markel García-Díez. (GH6929, PR7551)
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* Add DataArray.cumulative() & Dataset.cumulative() to compute
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cumulative aggregations, such as sum, along a dimension — for
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example da.cumulative('time').sum(). This is similar to pandas’
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.expanding, and mostly equivalent to .cumsum methods, or to
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DataArray.rolling() with a window length equal to the dimension
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size. By Maximilian Roos. (PR8512)
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* Decode/Encode netCDF4 enums and store the enum definition in
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dataarrays’ dtype metadata. If multiple variables share the
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same enum in netCDF4, each dataarray will have its own enum
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definition in their respective dtype metadata. By Abel Aoun.
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(GH8144, PR8147)
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## Deprecations
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* The squeeze kwarg to GroupBy is now deprecated. (GH2157,
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PR8507) By Deepak Cherian.
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## Bug fixes
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* Support non-string hashable dimensions in xarray.DataArray
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(GH8546, PR8559). By Michael Niklas.
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* Reverse index output of bottleneck’s rolling
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move_argmax/move_argmin functions (GH8541, PR8552). By Kai
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Mühlbauer.
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* Vendor SerializableLock from dask and use as default lock for
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netcdf4 backends (GH8442, PR8571). By Kai Mühlbauer.
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* Add tests and fixes for empty CFTimeIndex, including broken
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html repr (GH7298, PR8600). By Mathias Hauser.
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- Create subpackages for the python [extras], test dependencies
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with _multibuild
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-------------------------------------------------------------------
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-------------------------------------------------------------------
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Thu Jan 4 11:16:58 UTC 2024 - Sebastian Wagner <sebix@sebix.at>
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Thu Jan 4 11:16:58 UTC 2024 - Sebastian Wagner <sebix@sebix.at>
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@ -16,9 +16,18 @@
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#
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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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%{?sle15_python_module_pythons}
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Name: python-xarray
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Name: python-xarray%{psuffix}
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Version: 2023.12.0
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Version: 2024.2.0
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Release: 0
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Release: 0
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Summary: N-D labeled arrays and datasets in Python
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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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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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# fix xr.tutorial.open_dataset to work with the preloaded cache.
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Patch0: local_dataset.patch
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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 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 pip}
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BuildRequires: %{python_module setuptools_scm}
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BuildRequires: %{python_module setuptools_scm}
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BuildRequires: %{python_module setuptools}
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BuildRequires: %{python_module setuptools}
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BuildRequires: %{python_module wheel}
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BuildRequires: %{python_module wheel}
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BuildRequires: fdupes
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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BuildRequires: python-rpm-macros
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Requires: python-numpy >= 1.22
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Requires: python-numpy >= 1.23
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Requires: python-packaging >= 21.3
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Requires: python-packaging >= 22
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Requires: python-pandas >= 1.4
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Requires: python-pandas >= 1.5
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Provides: python-xray = %{version}
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Obsoletes: python-xray <= 0.7
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Obsoletes: python-xray < %{version}
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BuildArch: noarch
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BuildArch: noarch
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# SECTION extras accel
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%if %{with test}
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Recommends: python-scipy
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BuildRequires: %{python_module xarray-complete = %{version}}
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Recommends: python-bottleneck
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%endif
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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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# /SECTION
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# /SECTION
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%python_subpackages
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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 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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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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|
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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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|
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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
|
||||||
|
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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||||||
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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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||||||
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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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||||||
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||||||
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%description viz
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||||||
|
The [viz] extra for xarray, N-D labeled arrays and datasets in Python
|
||||||
|
|
||||||
|
Except nc-time-axis, because it's not packaged yet.
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||||||
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Use `pip-%{python_bin_suffix} --user install nc-time-axis` to install from PyPI, if needed.
|
||||||
|
|
||||||
%prep
|
%prep
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||||||
%autosetup -p1 -n xarray-%{version}
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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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||||||
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%endif
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chmod -x xarray/util/print_versions.py
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chmod -x xarray/util/print_versions.py
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||||||
%build
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%build
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%if !%{with test}
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%pyproject_wheel
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%pyproject_wheel
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||||||
|
%endif
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|
||||||
%install
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%install
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%if !%{with test}
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%pyproject_install
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%pyproject_install
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||||||
%python_expand %fdupes %{buildroot}%{$python_sitelib}
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%python_expand %fdupes %{buildroot}%{$python_sitelib}
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%endif
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%if %{with test}
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%check
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%check
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||||||
# obs file open race conditions?
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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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donttest="(test_open_mfdataset_manyfiles and (h5netcdf or netCDF4))"
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@ -117,12 +183,42 @@ if [ $(getconf LONG_BIT) -eq 32 ]; then
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fi
|
fi
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# h5py was built without ROS3 support, can't use ros3 driver
|
# h5py was built without ROS3 support, can't use ros3 driver
|
||||||
donttest="$donttest or TestH5NetCDFDataRos3Driver"
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donttest="$donttest or TestH5NetCDFDataRos3Driver"
|
||||||
%pytest -n auto -rsEf -k "not ($donttest)" xarray
|
# NetCDF4 fails with these unsupported drivers
|
||||||
|
donttest="$donttest or (TestNetCDF4 and test_compression_encoding and (szip or zstd or blosc_lz or blosc_zlib))"
|
||||||
|
|
||||||
|
%pytest -n auto -rsEf -k "not ($donttest)" xarray
|
||||||
|
%endif
|
||||||
|
|
||||||
|
%if !%{with test}
|
||||||
%files %{python_files}
|
%files %{python_files}
|
||||||
%doc README.md
|
%doc README.md
|
||||||
%license LICENSE licenses/
|
%license LICENSE licenses/
|
||||||
%{python_sitelib}/xarray
|
%{python_sitelib}/xarray
|
||||||
%{python_sitelib}/xarray-%{version}.dist-info
|
%{python_sitelib}/xarray-%{version}.dist-info
|
||||||
|
|
||||||
|
%files %{python_files accel}
|
||||||
|
%doc README.md
|
||||||
|
%license LICENSE
|
||||||
|
|
||||||
|
%files %{python_files complete}
|
||||||
|
%doc README.md
|
||||||
|
%license LICENSE
|
||||||
|
|
||||||
|
%files %{python_files dev}
|
||||||
|
%doc README.md
|
||||||
|
%license LICENSE
|
||||||
|
|
||||||
|
%files %{python_files io}
|
||||||
|
%doc README.md
|
||||||
|
%license LICENSE
|
||||||
|
|
||||||
|
%files %{python_files parallel}
|
||||||
|
%doc README.md
|
||||||
|
%license LICENSE
|
||||||
|
|
||||||
|
%files %{python_files viz}
|
||||||
|
%doc README.md
|
||||||
|
%license LICENSE
|
||||||
|
%endif
|
||||||
|
|
||||||
%changelog
|
%changelog
|
||||||
|
@ -1,3 +0,0 @@
|
|||||||
version https://git-lfs.github.com/spec/v1
|
|
||||||
oid sha256:4565dbc890de47e278346c44d6b33bb07d3427383e077a7ca8ab6606196fd433
|
|
||||||
size 3602114
|
|
3
xarray-2024.2.0.tar.gz
Normal file
3
xarray-2024.2.0.tar.gz
Normal file
@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:a105f02791082c888ebe2622090beaff2e7b68571488d62fe6afdab35b4b717f
|
||||||
|
size 3634288
|
Loading…
x
Reference in New Issue
Block a user