Log message:
py-*: remove unused tool dependency

py-setuptools includes the py-wheel functionality nowadays

Log message:
*: clean-up after python38 removal

Log message:
py-arviz: added TEST_DEPENDS

Log message:
py-arviz: updated to 0.19.0

v0.19.0 (2024 Jul 19)

New features
-  Use revised Pareto k threshold
-   Added arguments `ci_prob`, `eval_points`, `rvs`, and `random_state` to \ 
`plot_ecdf`
-   Deprecated rcParam `stats.hdi_prob` and replaced with `stats.ci_prob`
- Expose features from [arviz-base](https://arviz-base.readthedocs.io), \ 
[arviz-stats](https://arviz-stats.readthedocs.io) and \ 
[arviz-plots](https://arviz-plots.readthedocs.io) as `arviz.preview`
 submodule

Maintenance and fixes
- Ensure support with numpy 2.0
- Update testing strategy to include an environment without optional dependencies and
 an environment with [scientific python \ 
nightlies](https://anaconda.org/scientific-python-nightly-wheels)
- Address bokeh related deprecations

- Fix legend overwriting issue in `plot_trace`

Deprecation
-  Support for arrays and DataArrays in plot_khat has been deprecated. Only \ 
ELPDdata will be supported in the future
-  Removed arguments `values2`, `fpr`, `pointwise`, and `pit` in `plot_ecdf`

v0.18.0 (2024 Apr 4)

New features
- Add new example data `rugby_field` and update `rugby` example data
- Support for `pytree`s and robust to nested dictionaries.
- Add `.close` method to `InferenceData`

Maintenance and fixes
- Fix deprecation warnings in multiple dependencies

Deprecation

- Removed arguments `values2`, `fpr`, `pointwise`, `npoints`, and `pit` in \ 
`plot_ecdf`

Log message:
py-arviz: not for Python 3.9 anymore

Log message:
*: remove more references to Python 3.7

Log message:
*: restrict py-numpy users to 3.9+ in preparation for update

Log message:
Fix build breakage from py-scipy now being Python >= 3.8

Log message:
py-arviz: updated to 0.11.4

v0.11.4 (2021 Oct 3)
Maintenance and fixes
* Fix standard deviation code in density utils by replacing it with `np.std`.

v0.11.3 (2021 Oct 1)
New features
* Added `labeller` argument to enable label customization in plots and summary
* Added `arviz.labels` module with classes and utilities
* Added probability estimate within ROPE in `plot_posterior`
* Added `rope_color` and `ref_val_color` arguments to `plot_posterior`
* Improved retrieving or pointwise log likelihood in `from_cmdstanpy`, \ 
`from_cmdstan` and `from_pystan`
* Added interactive legend to bokeh `forestplot`
* Added interactive legend to bokeh `ppcplot`
* Add more helpful error message for HDF5 problems reading `InferenceData` from \ 
NetCDF
* Added `data.log_likelihood`, `stats.ic_compare_method` and `plot.density_kind` \ 
to `rcParams`
* Improve error messages in `stats.compare()`, and `var_name` parameter.
* Added ability to plot HDI contours to `plot_kde` with the new `hdi_probs` \ 
parameter.
* Add dtype parsing and setting in all Stan converters
* Add option to specify colors for each element in ppc_plot

Maintenance and fixes
* Fix conversion for numpyro models with ImproperUniform latent sites
* Fixed conversion of Pyro output fit using GPUs
* Enforced using coordinate values as default labels
* Integrate `index_origin` with all the library
* Fix pareto k threshold typo in reloo function
* Preserve shape from Stan code in `from_cmdstanpy`
* Updated `from_pystan` converters to follow schema convention
* Used generator instead of list wherever possible
* Correctly use chain index when constructing PyMC3 `DefaultTrace` in `from_pymc3`
* Fix bugs in CmdStanPyConverter
* Fix `c` argument in `plot_khat`
* Fix `ax` argument in `plot_elpd`
* Remove warning in `stats.py` compare function
* Fix `ess/rhat` plots in `plot_forest`
* Fix `from_numpyro` crash when importing model with `thinning=x` for `x > 1`
* Upload updated mypy.ini in ci if mypy copilot fails
* Added type checking to raise an error whenever `InferenceData` object is \ 
passed using `io_pymc3`'s `trace` argument
* Fix `xlabels` in `plot_elpd`
* Renamed `sample` dim to `__sample__` when stacking `chain` and `draw` to avoid \ 
dimension collision
* Removed the `circular` argument in `plot_dist` in favor of `is_circular`
* Fix `legend` argument in `plot_separation`
* Removed testing dependency on http download for radon dataset
* Fixed plot_kde to take labels with kwargs.
* Fixed xarray related tests.
* Fix Bokeh deprecation warnings
* Fix credible inteval percentage in legend in `plot_loo_pit`
* Arguments `filter_vars` and `filter_groups` now raise `ValueError` if illegal \ 
arguments are passed
* Remove constrained_layout from arviz rcparams
* Fix plot_elpd for a single outlier

Deprecation
* Deprecated `index_origin` and `order` arguments in `az.summary`

Documentation
* Language improvements of the first third of the "Label guide"
* Added "Label guide" page and API section for `arviz.labels` module
* Add "Installation guide" page to the documentation
* Improve documentation on experimental `SamplingWrapper` classes
* Added example to `plot_hdi` using Inference Data
* Removed `geweke` diagnostic from `numba` user guide
* Restructured the documentation sections to improve community and about us \ 
information

v0.11.2 (2021 Feb 21)
New features
* Added `to_zarr` and `from_zarr` methods to InferenceData
* Added confidence interval band to auto-correlation plot

Maintenance and fixes
* Updated CmdStanPy converter form compatibility with versions >=0.9.68
* Updated `from_cmdstanpy`, `from_cmdstan`, `from_numpyro` and `from_pymc3` \ 
converters to follow schema convention
* Fix calculation of mode as point estimate
* Remove variable name from legend in posterior predictive plot
* Added significant digits formatter to round rope values
* Updated `from_cmdstan`. csv reader, dtype problem fixed and dtype kwarg added \ 
for manual dtype casting

Deprecation
* Removed Geweke diagnostic
* Removed credible_interval and include_circ arguments

Documentation
* Added an example for converting dataframe to InferenceData
* Added example for `coords` argument in `plot_posterior` docstring

v0.11.1 (2021 Feb 2)
Maintenance and fixes
* Fixed ovelapping titles and repeating warnings on circular traceplot
* Removed repetitive variable names from forest plots of multivariate variables
* Fixed regression in `plot_pair` labels that prevented coord names to be shown \ 
when necessary

Documentation
* Use tabs in ArviZ example gallery

v0.11.0 (2021 Dec 17)
New features
* Added `to_dataframe` method to InferenceData
* Added `__getitem__` magic to InferenceData
* Added group argument to summary
* Add `ref_line`, `bar`, `vlines` and `marker_vlines` kwargs to `plot_rank`
* Add observed argument to (un)plot observed data in `plot_ppc`
* Add support for named dims and coordinates with multivariate observations
* Add support for discrete variables in rank plots
  `loo_pit`
* Add `skipna` argument to `plot_posterior`
* Make stacking the default method to compute weights in `compare`
* Add `copy()` method to `InferenceData` class.

Maintenance and fixes
* prevent wrapping group names in InferenceData repr_html
* Updated CmdStanPy interface
* Remove left out warning about default IC scale in `compare`
* Fixed a typo found in an error message raised in `distplot.py`
* Fix typo in `loo_pit` extraction of log likelihood
* Have `from_pystan` store attrs as strings to allow netCDF storage
* Remove ticks and spines in `plot_violin`
* Use circular KDE function and fix tick labels in circular `plot_trace`
* Fix `pair_plot` for mixed discrete and continuous variables
* Fix in-sample deviance in `plot_compare`
* Fix computation of weights in compare
* Avoid repeated warning in summary
* Fix hdi failure with boolean array
* Automatically get the current axes instance for `plt_kde`, `plot_dist` and \ 
`plot_hdi`
* Add grid argument to manually specify the number of rows and columns
* Switch to `compact=True` by default in our plots
* `plot_elpd`, avoid modifying the input dict
* Do not plot divergences in `plot_trace` when `kind=rank_vlines` or `kind=rank_bars`
* Allow ignoring `observed` argument of `pymc3.DensityDist` in `from_pymc3`
* Make `from_pymc3` compatible with theano-pymc 1.1.0
* Improve typing hints

Deprecation
* `plot_khat` deprecate `annotate` argument in favor of `threshold`. The new \ 
argument accepts floats

Documentation
* Reorganize documentation and change sphinx theme
* Switch to [MyST](https://myst-parser.readthedocs.io/en/latest/) and \ 
[MyST-NB](https://myst-nb.readthedocs.io/en/latest/index.html)
  for markdown/notebook parsing in docs
* Incorporated `input_core_dims` in `hdi` and `plot_hdi` docstrings
* Add documentation pages about experimental `SamplingWrapper`s usage
* Show example titles in gallery page
* Add `sample_stats` naming convention to the InferenceData schema
* Extend api documentation about `InferenceData` methods

Experimental
* Modified `SamplingWrapper` base API

v0.10.0 (2020 Sep 24)
New features
* Added InferenceData dataset containing circular variables
* Added `is_circular` argument to `plot_dist` and `plot_kde` allowing for a \ 
circular histogram (Matplotlib, Bokeh) or 1D KDE plot (Matplotlib).
* Added `to_dict` method for InferenceData object
* Added `circ_var_names` argument to `plot_trace` allowing for circular \ 
traceplot (Matplotlib)
* Ridgeplot is hdi aware. By default displays truncated densities at the \ 
specified `hdi_prop` level
* Added `plot_separation`
* Extended methods from `xr.Dataset` to `InferenceData`
* Add `extend` and `add_groups` to `InferenceData`
* Added `__iter__` method (`.items`) for InferenceData
* Add support for discrete variables in `plot_bpv`

Maintenance and fixes
* Automatic conversion of list/tuple to numpy array in distplot
* `plot_posterior` fix overlap of hdi and rope
* `plot_dist` bins argument error fixed
* Improve handling of circular variables in `az.summary`
* Removed change of default warning in `ELPDData` string representation
* Update `radon` example dataset to current InferenceData schema specification
* Update `from_cmdstan` functionality and add warmup groups
* Restructure plotting code to be compatible with mpl>=3.3
* Replaced `_fast_kde()` with `kde()` which now also supports circular variables \ 
via the argument `circular`
* Increased `from_pystan` attrs information content
* Allow `plot_trace` to return and accept axes
* Update diagnostics to be on par with posterior package
* Use method="average" in `scipy.stats.rankdata`
* Add more `plot_parallel` examples
* Bump minimum xarray version to 0.16.1
* Fix multi rope for `plot_forest`
* Bump minimum xarray version to 0.16.1
* `from_dict` will now store warmup groups even with the main group missing
* increase robustness for repr_html handling

Log message:
*: bump PKGREVISION for egg.mk users

They now have a tool dependency on py-setuptools instead of a DEPENDS