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Added to release-notes. Moved model_graph issue to bottom of maintenance.
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RELEASE-NOTES.md

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- Used `numpy.vectorize` in `distributions.distribution._compile_theano_function`. This enables `sample_prior_predictive` and `sample_posterior_predictive` to ask for tuples of samples instead of just integers. This fixes issue #3422.
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### Maintenance
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- Fixed an issue in `model_graph` that caused construction of the graph of the model for rendering to hang: replaced a search over the powerset of the nodes with a breadth-first search over the nodes. Fix for #3458.
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- All occurances of `sd` as a parameter name have been renamed to `sigma`. `sd` will continue to function for backwards compatibility.
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- Made `BrokenPipeError` for parallel sampling more verbose on Windows.
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- Added the `broadcast_distribution_samples` function that helps broadcasting arrays of drawn samples, taking into account the requested `size` and the inferred distribution shape. This sometimes is needed by distributions that call several `rvs` separately within their `random` method, such as the `ZeroInflatedPoisson` (Fix issue #3310).
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- Fixed the `Multinomial.random` and `Multinomial.random_` methods to make them compatible with the new `generate_samples` function. In the process, a bug of the `Multinomial.random_` shape handling was discovered and fixed.
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- Fixed a defect found in `Bound.random` where the `point` dictionary was passed to `generate_samples` as an `arg` instead of in `not_broadcast_kwargs`.
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- Fixed a defect found in `Bound.random_` where `total_size` could end up as a `float64` instead of being an integer if given `size=tuple()`.
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- Fixed an issue in `model_graph` that caused construction of the graph of the model for rendering to hang: replaced a search over the powerset of the nodes with a breadth-first search over the nodes. Fix for #3458.
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- Removed variable annotations from `model_graph` but left type hints (Fix for #3465). This means that we support `python>=3.5.4`.
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### Deprecations
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