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Description
Is your feature request related to a problem? Please describe.
When https://github.com/rapidsai/cudf/pull/11452 lands, we'll get JIT Groupby.apply for a subset of UDFs and importantly, dtypes. However over the summer we only got as far as writing overloads for float64 and int64 dtypes in the users source data. It'd be nice if we could support more dtypes, starting at least with the rest of the numeric types.
Describe the solution you'd like
Extend the existing groupby.apply, engine='jit' framework to support the following additional dtypes:
float32int32int16int8uint64uint32uint16uint8bool
A lot of the machinery in the original PR is fairly general and should make adding many of these easy- however there will undoubtedly be edge cases. As such it makes for a pretty good first issue for anyone jumping into the numba extension piece of the codebase.