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here is the log from the commit of package python-xarray for openSUSE:Factory
checked in at 2024-03-01 23:40:11
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-xarray (Old)
and /work/SRC/openSUSE:Factory/.python-xarray.new.1770 (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-xarray"
Fri Mar 1 23:40:11 2024 rev:46 rq:1154193 version:2024.2.0
Changes:
--------
--- /work/SRC/openSUSE:Factory/python-xarray/python-xarray.changes
2024-01-04 18:41:19.463782384 +0100
+++ /work/SRC/openSUSE:Factory/.python-xarray.new.1770/python-xarray.changes
2024-03-01 23:40:13.379477544 +0100
@@ -1,0 +2,111 @@
+Fri Mar 1 21:04:08 UTC 2024 - Matej Cepl <mc...@cepl.eu>
+
+- Skip Python 3.9. It requires pydap, which is not available any
+ more.
+
+-------------------------------------------------------------------
+Tue Feb 27 10:56:32 UTC 2024 - Ben Greiner <c...@bnavigator.de>
+
+- 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 floxâs 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=âlinearâ). (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 wasnât 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.
+ * Fix bug with broadcasting when wrapping array API-compliant
+ classes. (GH8665, PR8669) By Tom Nicholas.
+ * Ensure DataArray.unstack() works when wrapping array
+ API-compliant classes. (GH8666, PR8668) By Tom Nicholas.
+ * Fix negative slicing of Zarr arrays without dask installed.
+ (GH8252) By Deepak Cherian.
+ * Preserve chunks when writing time-like variables to zarr by
+ enabling lazy CF encoding of time-like variables (GH7132,
+ GH8230, GH8432, PR8575). By Spencer Clark and Mattia Almansi.
+ * Preserve chunks when writing time-like variables to zarr by
+ enabling their lazy encoding (GH7132, GH8230, GH8432, PR8253,
+ PR8575; see also discussion in PR8253). By Spencer Clark and
+ Mattia Almansi.
+ * Raise an informative error if dtype encoding of time-like
+ variables would lead to integer overflow or unsafe conversion
+ from floating point to integer values (GH8542, PR8575). By
+ Spencer Clark.
+ * Raise an error when unstacking a MultiIndex that has duplicates
+ as this would lead to silent data loss (GH7104, PR8737). By
+ Mathias Hauser.
+- Release 2024.1.1
+ ## Breaking changes
+ * Following pandas, infer_freq() will return "YE", instead of "Y"
+ (formerly "A"). This is to be consistent with the deprecation
+ of the latter frequency string in pandas 2.2. This is a follow
+ up to PR8415 (GH8612, PR8642). By Mathias Hauser.
+ ## Deprecations
+ * Following pandas, the frequency string "Y" (formerly "A") is
+ deprecated in favor of "YE". These strings are used, for
+ example, in date_range(), cftime_range(), DataArray.resample(),
+ and Dataset.resample() among others (GH8612, PR8629). By
+ Mathias Hauser.
+- Release 2024.1.0
+ * This release brings support for weights in correlation and
+ covariance functions, a new DataArray.cumulative aggregation,
+ improvements to xr.map_blocks, an update to our minimum
+ dependencies, and various bugfixes.
+ ## New Features
+ * xr.cov() and xr.corr() now support using weights (GH8527,
+ PR7392). By Llorenç Lledó.
+ * Accept the compression arguments new in netCDF 1.6.0 in the
+ netCDF4 backend. See netCDF4 documentation for details. Note
+ that some new compression filters needs plugins to be installed
+ which may not be available in all netCDF distributions. By
+ Markel GarcÃa-DÃez. (GH6929, PR7551)
+ * Add DataArray.cumulative() & Dataset.cumulative() to compute
+ cumulative aggregations, such as sum, along a dimension â for
+ example da.cumulative('time').sum(). This is similar to pandasâ
+ .expanding, and mostly equivalent to .cumsum methods, or to
+ DataArray.rolling() with a window length equal to the dimension
+ size. By Maximilian Roos. (PR8512)
+ * Decode/Encode netCDF4 enums and store the enum definition in
+ dataarraysâ dtype metadata. If multiple variables share the
+ same enum in netCDF4, each dataarray will have its own enum
+ definition in their respective dtype metadata. By Abel Aoun.
+ (GH8144, PR8147)
+ ## Deprecations
+ * The squeeze kwarg to GroupBy is now deprecated. (GH2157,
+ PR8507) By Deepak Cherian.
+ ## Bug fixes
+ * Support non-string hashable dimensions in xarray.DataArray
+ (GH8546, PR8559). By Michael Niklas.
+ * Reverse index output of bottleneckâs rolling
+ move_argmax/move_argmin functions (GH8541, PR8552). By Kai
+ Mühlbauer.
+ * Vendor SerializableLock from dask and use as default lock for
+ netcdf4 backends (GH8442, PR8571). By Kai Mühlbauer.
+ * Add tests and fixes for empty CFTimeIndex, including broken
+ html repr (GH7298, PR8600). By Mathias Hauser.
+- Create subpackages for the python [extras], test dependencies
+ with _multibuild
+
+-------------------------------------------------------------------
Old:
----
xarray-2023.12.0.tar.gz
New:
----
_multibuild
xarray-2024.2.0.tar.gz
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Other differences:
------------------
++++++ python-xarray.spec ++++++
--- /var/tmp/diff_new_pack.fP7ZVL/_old 2024-03-01 23:40:14.791528603 +0100
+++ /var/tmp/diff_new_pack.fP7ZVL/_new 2024-03-01 23:40:14.791528603 +0100
@@ -16,9 +16,19 @@
#
+%global flavor @BUILD_FLAVOR@%{nil}
+%if "%{flavor}" == "test"
+%bcond_without test
+%define psuffix -test
+%else
+%bcond_with test
+%define psuffix %{nil}
+%endif
+
+%define skip_python39 1
%{?sle15_python_module_pythons}
-Name: python-xarray
-Version: 2023.12.0
+Name: python-xarray%{psuffix}
+Version: 2024.2.0
Release: 0
Summary: N-D labeled arrays and datasets in Python
License: Apache-2.0
@@ -28,58 +38,20 @@
# fix xr.tutorial.open_dataset to work with the preloaded cache.
Patch0: local_dataset.patch
BuildRequires: %{python_module base >= 3.9}
-BuildRequires: %{python_module numpy-devel >= 1.22}
-BuildRequires: %{python_module packaging >= 21.3}
-BuildRequires: %{python_module pandas >= 1.4}
BuildRequires: %{python_module pip}
BuildRequires: %{python_module setuptools_scm}
BuildRequires: %{python_module setuptools}
BuildRequires: %{python_module wheel}
BuildRequires: fdupes
BuildRequires: python-rpm-macros
-Requires: python-numpy >= 1.22
-Requires: python-packaging >= 21.3
-Requires: python-pandas >= 1.4
-Provides: python-xray = %{version}
-Obsoletes: python-xray < %{version}
+Requires: python-numpy >= 1.23
+Requires: python-packaging >= 22
+Requires: python-pandas >= 1.5
+Obsoletes: python-xray <= 0.7
BuildArch: noarch
-# SECTION extras accel
-Recommends: python-scipy
-Recommends: python-bottleneck
-Recommends: python-flox
-Recommends: python-numbagg
-# /SECTION
-# SECTION extras parallalel
-Suggests: python-dask-complete
-# /SECTION
-# SECTION extras viz
-Suggests: python-matplotlib
-Suggests: python-seaborn
-Suggests: python-nc-time-axis
-#/SECTION
-# SECTION extras io
-Suggests: python-netCDF4
-Suggests: python-h5netcdf
-Suggests: (python-pydap if python-base < 3.10)
-Suggests: python-zarr
-Suggests: python-fsspec
-Suggests: python-cftime
-Suggests: python-rasterio
-Suggests: python-cfgrib
-Suggests: python-pooch
-#/SECTION
-# SECTION tests
-BuildRequires: %{python_module Bottleneck}
-BuildRequires: %{python_module dask-dataframe}
-BuildRequires: %{python_module dask-diagnostics}
-BuildRequires: %{python_module h5netcdf}
-BuildRequires: %{python_module matplotlib}
-BuildRequires: %{python_module netCDF4}
-BuildRequires: %{python_module pooch}
-BuildRequires: %{python_module pytest-xdist}
-BuildRequires: %{python_module pytest}
-BuildRequires: %{python_module scipy}
-BuildRequires: %{python_module zarr}
+%if %{with test}
+BuildRequires: %{python_module xarray-complete = %{version}}
+%endif
# /SECTION
%python_subpackages
@@ -92,18 +64,112 @@
The Common Data Model for self-describing scientific data is used.
The dataset is an in-memory representation of a netCDF file.
+%package accel
+# for minimum versions, check ci/requirements/min-all-deps.yml
+Summary: The python xarray[accel] extra
+Requires: python-Bottleneck >= 1.3
+Requires: python-opt-einsum
+Requires: python-scipy
+Requires: python-xarray = %{version}
+# not available yet
+Recommends: python-flox >= 0.7
+Recommends: python-numbagg
+
+%description accel
+The [accel] extra for xarray, N-D labeled arrays and datasets in Python
+Except flox and numbagg, because they are not packaged yet.
+Use `pip-%{python_bin_suffix} --user install flox numbagg` to install from
PyPI, if needed.
+
+%package complete
+Summary: The python xarray[complete] extra
+Requires: python-xarray = %{version}
+Requires: python-xarray-accel = %{version}
+Requires: python-xarray-dev = %{version}
+Requires: python-xarray-io = %{version}
+Requires: python-xarray-parallel = %{version}
+Requires: python-xarray-viz = %{version}
+
+%description complete
+The [complete] extra for xarray, N-D labeled arrays and datasets in Python
+
+%package dev
+Summary: The python xarray[dev] extra
+Requires: python-hypothesis
+Requires: python-pytest
+Requires: python-pytest-cov
+Requires: python-pytest-env
+Requires: python-pytest-timeout
+Requires: python-pytest-xdist
+Requires: python-ruff
+Requires: python-xarray = %{version}
+Requires: python-xarray-complete = %{version}
+# Not available and not really useful for us
+Recommends: python-pre-commit
+
+%description dev
+The [dev] extra for xarray, N-D labeled arrays and datasets in Python
+Except pre-commit, Use `pip-%{python_bin_suffix} --user install pre-commit` to
install, if needed.
+
+%package io
+Summary: The python xarray[io] extra
+Requires: python-cftime >= 1.6
+Requires: python-fsspec
+Requires: python-h5netcdf >= 1.1
+Requires: python-netCDF4 >= 1.6
+Requires: python-pooch
+Requires: python-scipy >= 1.10
+Requires: python-xarray = %{version}
+Requires: python-zarr >= 2.13
+
+%description io
+The [io] extra for xarray, N-D labeled arrays and datasets in Python
+
+%package parallel
+Summary: The python xarray[parallel] extra
+Requires: python-dask-complete >= 2022.12
+Requires: python-xarray = %{version}
+
+%description parallel
+The [parallel] extra for xarray, N-D labeled arrays and datasets in Python
+
+%package viz
+Summary: The python xarray[viz] extra
+Requires: python-matplotlib >= 3.6
+Requires: python-seaborn >= 0.12
+Requires: python-xarray = %{version}
+# Not available yet
+Recommends: python-nc-time-axis
+
+%description viz
+The [viz] extra for xarray, N-D labeled arrays and datasets in Python
+
+Except nc-time-axis, because it's not packaged yet.
+Use `pip-%{python_bin_suffix} --user install nc-time-axis` to install from
PyPI, if needed.
+
%prep
%autosetup -p1 -n xarray-%{version}
+%if "%{version}" == "2024.2.0"
+# gh#pydata/xarray#8768, remove this after the next update!
+rm -r xarray/tests/datatree
+%else
+echo "You failed to update the specfile"
+exit 1
+%endif
chmod -x xarray/util/print_versions.py
%build
+%if !%{with test}
%pyproject_wheel
+%endif
%install
+%if !%{with test}
%pyproject_install
%python_expand %fdupes %{buildroot}%{$python_sitelib}
+%endif
+%if %{with test}
%check
# obs file open race conditions?
donttest="(test_open_mfdataset_manyfiles and (h5netcdf or netCDF4))"
@@ -117,11 +183,41 @@
fi
# h5py was built without ROS3 support, can't use ros3 driver
donttest="$donttest or TestH5NetCDFDataRos3Driver"
+# 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}
%doc README.md
%license LICENSE licenses/
%{python_sitelib}/xarray
%{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
+
++++++ _multibuild ++++++
<multibuild>
<package>test</package>
</multibuild>
++++++ xarray-2023.12.0.tar.gz -> xarray-2024.2.0.tar.gz ++++++
++++ 27629 lines of diff (skipped)
