pymc-devs/aesara:

The following changes were made in this release: Explicitly add gcc DLL directory on Windows for Python >= 3.8 Added chi-squared RandomVariable Fixed an attribute error in Scan's exception handling Reverted FunctionGraph replacement warnings Renamed aesara.graph.toolbox to aesara.graph.features Moved is_same_graph_with_merge and is_same_graph to aesara.graph.opt_utils Added aesara.graph.opt_utils.optimize_graph function to simplify running optimizations/rewrites on graphs Added atleast_*d and expand_dims functions Added broadcast_arrays function Renamed Query to OptimizationQuery and DB to OptimizationDatabase Exposed aesara.tensor.random.basic via aesara.tensor.random, so, now, random variables can be created via import aesara.tensor as aet; aet.random.* NumPy dtype objects (e.g. np.int32, np.float64) can be used when specifying dtypes to tensor and scalar construction functions and cas