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here is the log from the commit of package python-arviz-stats for
openSUSE:Factory checked in at 2026-10-26 10:39:58
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Comparing /work/SRC/openSUSE:Factory/python-arviz-stats (Old)
and /work/SRC/openSUSE:Factory/.python-arviz-stats.new.2252680 (New)
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Package is "python-arviz-stats"
Mon Oct 26 10:39:58 2026 rev:5 rq:1392403 version:1.3.3
Changes:
--------
--- /work/SRC/openSUSE:Factory/python-arviz-stats/python-arviz-stats.changes
2026-08-22 21:37:24.031915904 +0200
+++
/work/SRC/openSUSE:Factory/.python-arviz-stats.new.2252680/python-arviz-stats.changes
2026-10-26 10:40:01.588188185 +0100
@@ -1,0 +2,45 @@
+Sun Oct 25 12:23:54 UTC 2026 - Dirk Müller <[email protected]>
+
+- update to 1.3.3:
+ * Add PSIS LFO-CV
+ * Accept coords in ci_in_rope, as its docstring documents
+ * Correct interval for pit evaluation
+ * Only build the summary's LaTeX repr when asked for
+ * Add bivariate histogram and hexbin statistics
+ * Add ELPD subclasses
+ * Add default `ci_kind` handling in `ci_in_rope`
+ * Miscelaneous docstrings fixes
+ * Update citation information
+ * More miscellaneous docstring fixes
+ * Fix ddof in `summary` std computation
+ * Hexbin and histogram2d: Use adaptive binning
+ * Fix histogram with array-like bins
+ * Allow hdi with prob=1
+- update to 1.3.2:
+ * ### Maintenance and bug fixes
+ * Respect ci_kind in summary for the stats and all kinds
+ * Remove deprecated inplace in sort_values
+ * Write the bandwidth into the kde gufunc output
+ * Ensure correct order for bounds in circular std
+ * Add PyMC and Bambi support for `loo_subsample`
+ * Fix `p_loo` calculation in sub-sampled PSIS-LOO-CV
+ * Fix rounding of `subsampling_dse` in `compare()`
+ * Honour circular in the Numba KDE
+ * Fix _mcse_sd to use ESS of squared deviations
+ * Fix custom limits for circular KDE
+ * Fix Kaplan–Meier estimates for integer event times
+ * Fix covariance and split steps in `loo_moment_match`
+ * Fix `num_samples` default in survival curves
+ * Fix bug in acc_balanced, and switch to ddof=1
+ * Fix `loo_subsample` pointwise output for multi-dim
+ observations
+ * Fix reloo SE, log weights, and input checks
+ * Fix jacobian term for p_loo
+ * ### Documentation
+ * Correct the BaseArray summary statistic docstrings
+ * Add weight_predictions to docs, add example
+- update to 1.3.1:
+ * Fix NaN in `loo_score` CRPS and simplify score calculations
+ * Fix truncated Cauchy combination: restore correct denominator
+
+-------------------------------------------------------------------
Old:
----
arviz_stats-1.3.0.tar.gz
New:
----
arviz_stats-1.3.3.tar.gz
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Other differences:
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++++++ python-arviz-stats.spec ++++++
--- /var/tmp/diff_new_pack.2jvDRp/_old 2026-10-26 10:40:05.956370555 +0100
+++ /var/tmp/diff_new_pack.2jvDRp/_new 2026-10-26 10:40:05.957370597 +0100
@@ -17,7 +17,7 @@
Name: python-arviz-stats
-Version: 1.3.0
+Version: 1.3.3
Release: 0
Summary: Statistical computation and diagnostics for ArviZ
License: Apache-2.0
++++++ arviz_stats-1.3.0.tar.gz -> arviz_stats-1.3.3.tar.gz ++++++
/work/SRC/openSUSE:Factory/python-arviz-stats/arviz_stats-1.3.0.tar.gz
/work/SRC/openSUSE:Factory/.python-arviz-stats.new.2252680/arviz_stats-1.3.3.tar.gz
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