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here is the log from the commit of package python-arviz for openSUSE:Factory 
checked in at 2022-11-25 13:11:57
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-arviz (Old)
 and      /work/SRC/openSUSE:Factory/.python-arviz.new.1597 (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Package is "python-arviz"

Fri Nov 25 13:11:57 2022 rev:2 rq:1037905 version:0.14.0

Changes:
--------
--- /work/SRC/openSUSE:Factory/python-arviz/python-arviz.changes        
2022-03-07 17:48:39.711090027 +0100
+++ /work/SRC/openSUSE:Factory/.python-arviz.new.1597/python-arviz.changes      
2022-11-25 13:22:18.267404446 +0100
@@ -1,0 +2,79 @@
+Thu Nov 24 10:03:01 UTC 2022 - Daniel Garcia <[email protected]>
+
+- Update to 0.14.0
+  * Add weight_predictions function to allow generation of weighted predictions
+    from two or more InfereceData with posterior_predictive groups and a set of
+    weights (2147)
+  * Add Savage-Dickey density ratio plot for Bayes factor approximation. (2037,
+    [2152](#2152)
+  * Adds rug plot for observed variables to plot_ppc. (2161)
+  * Fix dimension ordering for plot_trace with divergences (2151)
+
+- v0.13.0 (2022 Oct 22)
+  * Add side argument to plot_violin to allow single-sided violin plots (1996)
+  * Added support for Bean Machine via the function from_beanmachine. (2107
+  * Add support for warmup samples in from_pystan for PyStan 3. (2132
+  * Add exception in az.plot_hdi for x of type np.datetime64 and smooth=True
+    (2016)
+  * Change ax.plot usage to ax.scatter in plot_pair (1990)
+  * Example data has been moved to the arviz_example_data repository and is now
+    included using git subtree. (2096 and 2105)
+  * Bokeh kde contour plots started to use contourpy package (2104)
+  * Update default Bokeh markers for rcparams (2104)
+  * Correctly (re)order dimensions for bfmi and plot_energy (2126)
+  * Fix bug with the dimension order dependency (2103)
+  * Add testing module for labeller classes (2095)
+  * Skip compression for object dtype while creating a netcdf file (2129)
+  * Fix issue in dim generation when default dims are present in user inputed
+    dims (2138)
+  * Save InferenceData level attrs to netcdf and zarr (2131)
+  * Update tests and docs for updated example data (2137)
+  * Copy coords before modifying in ppcplot (2160)
+  * Removed fill_last, contour and plot_kwargs arguments from plot_pair
+    function (2085)
+  * Add translation overview to contributing guide (2041)
+  * Improve how to release page (2144)
+
+- v0.12.1 (2022 May 12)
+  * Add stat_focus argument to arviz.summary (1998)
+  * psislw now smooths log-weights even when shape is lower than 1/3(2011)
+  * Fixes from_cmdstanpy, handles parameter vectors of length 1 (2023)
+  * Fix typo in BaseLabeller that broke NoVarLabeller (2018)
+  * Adding plotting guides (2025)
+  * Update links to use new domain (2013)
+
+- v0.12.0 (2022 Mar 23)
+  * Add new convenience function arviz.extract_dataset (1725)
+  * Add combine_dims argument to several functions (1676)
+  * [experimental] Enable dask chunking information to be passed to
+    InferenceData.from_netcdf with regex support (1749)
+  * Allow kwargs to customize appearance of the mean in plot_lm
+  * Add dict option to from_cmdstan log_likelihood parameter (as in
+    from_pystan)
+  * Unify model comparison API. Both plot_compare, plot_elpd can now take dicts
+    of InferenceData or ELPDData (1690)
+  * Change default for rcParam stats.ic_pointwise to True (1690)
+  * Add new plot type: plot_ecdf (1753)
+  * Drop Python 3.6 support (1430)
+  * Bokeh 3 compatibility. (1919)
+  * Remove manual setting of 2d KDE limits (1939)
+  * Pin to bokeh<3 version (1954)
+  * Fix legend labels in plot_ppc to reflect prior or posterior. (1967)
+  * Change DataFrame.append to pandas.concat (1973)
+  * Fix axis sharing behaviour in plot_pair. (1985)
+  * Fix parameter duplication problem with PyStan (1962)
+  * Temporarily disable pyjags tests (1963)
+  * Fix tuple bug in coords (1695)
+  * Fix extend 'right' join bug (1718)
+  * Update attribute handling for InferenceData (1357)
+  * Fix R2 implementation (1666)
+  * Added warning message in plot_dist_comparison() in case subplots go over
+    the limit (1688)
+  * Fix coord value ignoring for default dims (2001)
+  * Fixed plot_posterior with boolean data (1707)
+  * Fix min_ess usage in plot_ess (2002)
+  * Fixed typo in Forestplot documentation
+  * Restructured contributing section and added several new pages to help
+    contributing to docs (1903)
+
+-------------------------------------------------------------------

Old:
----
  arviz-0.11.4.tar.gz

New:
----
  arviz-0.14.0.tar.gz

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Other differences:
------------------
++++++ python-arviz.spec ++++++
--- /var/tmp/diff_new_pack.sdrp50/_old  2022-11-25 13:22:18.639406453 +0100
+++ /var/tmp/diff_new_pack.sdrp50/_new  2022-11-25 13:22:18.643406475 +0100
@@ -1,7 +1,7 @@
 #
 # spec file for package python-arviz
 #
-# Copyright (c) 2021 SUSE LLC
+# Copyright (c) 2022 SUSE LLC
 #
 # All modifications and additions to the file contributed by third parties
 # remain the property of their copyright owners, unless otherwise agreed
@@ -16,42 +16,41 @@
 #
 
 
-%{?!python_module:%define python_module() python-%{**} python3-%{**}}
 %define modname arviz
 Name:           python-arviz
-Version:        0.11.4
+Version:        0.14.0
 Release:        0
 Summary:        Exploratory analysis of Bayesian models
 License:        Apache-2.0
 URL:            http://github.com/arviz-devs/arviz
-Source:         
https://github.com/arviz-devs/arviz/archive/v%{version}.tar.gz#/%{modname}-%{version}.tar.gz
+Source:         
https://github.com/arviz-devs/arviz/archive/%{version}.tar.gz#/%{modname}-%{version}.tar.gz
 BuildRequires:  python-rpm-macros
-BuildRequires:  %{python_module setuptools}
 # SECTION test requirements
 BuildRequires:  %{python_module cloudpickle}
-BuildRequires:  %{python_module matplotlib >= 3.0}
+BuildRequires:  %{python_module matplotlib >= 3.5}
 BuildRequires:  %{python_module netCDF4}
 BuildRequires:  %{python_module numba}
-BuildRequires:  %{python_module numpy >= 1.12}
+BuildRequires:  %{python_module numpy >= 1.20.0}
 BuildRequires:  %{python_module packaging}
-BuildRequires:  %{python_module pandas >= 0.23}
+BuildRequires:  %{python_module pandas >= 1.4.0}
 BuildRequires:  %{python_module pytest >= 0.23}
+BuildRequires:  %{python_module scipy >= 1.8.0}
+BuildRequires:  %{python_module setuptools >= 60.0.0}
 BuildRequires:  %{python_module typing_extensions}
-BuildRequires:  %{python_module scipy >= 0.19}
-BuildRequires:  %{python_module setuptools >= 38.4}
-BuildRequires:  %{python_module xarray >= 0.16.1}
+BuildRequires:  %{python_module xarray >= 0.21.0}
+BuildRequires:  %{python_module xarray-einstats >= 0.3}
 # /SECTION
 BuildRequires:  fdupes
-Requires:       python-matplotlib >= 3.0
+Requires:       python-matplotlib >= 3.5
 Requires:       python-netCDF4
-Requires:       python-numpy >= 1.12
+Requires:       python-numpy >= 1.20.0
 Requires:       python-packaging
-Requires:       python-pandas >= 0.23
-Requires:       python-scipy >= 0.19
-Requires:       python-setuptools >= 38.4
-Requires:       python-xarray >= 0.16.1
-Recommends:     python-numba
+Requires:       python-pandas >= 1.4.0
+Requires:       python-scipy >= 1.8.0
+Requires:       python-setuptools >= 60.0.0
+Requires:       python-xarray >= 0.21.0
 Recommends:     python-bokeh >= 1.4.0
+Recommends:     python-numba
 Recommends:     python-ujson
 BuildArch:      noarch
 %python_subpackages

++++++ arviz-0.11.4.tar.gz -> arviz-0.14.0.tar.gz ++++++
/work/SRC/openSUSE:Factory/python-arviz/arviz-0.11.4.tar.gz 
/work/SRC/openSUSE:Factory/.python-arviz.new.1597/arviz-0.14.0.tar.gz differ: 
char 13, line 1

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