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Python wrapper for nuts-rs

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updates: - [github.com/astral-sh/ruff-pre-commit: v0.4.1 → v0.4.3](https://github.com/astral-sh/ruff-pre-commit/compare/v0.4.1...v0.4.3)

To accommodate [the customization of variables to store in the trace](https://github.com/pymc-devs/pymc/pull/7206), it would be helpful to have a similar argument for `CompiledPyMCModel` so that unwanted variables can be ignored by...

enhancement

I made the 0.10 release, but it might need a bit longer for this to appear on pypi. See https://github.com/PyO3/maturin/issues/1998

I couldn't totally find where this happens but compile_pymc creates an "obs_id" coordinate automatically. If the user doesn't provide that coordinate it gets populated as None. This causes this line...

Do we need the >=2.0 Pandas requirement, or is it just a matter of never having tested with 1.x? I'm asking because 2.0 is relatively new, and there are likely...

In Arviz Schema there is a dedicated place to store unconstrained params. https://python.arviz.org/en/latest/schema/schema.html#unconstrained-posterior

enhancement

### Describe the issue: I recently encountered an issue when trying to add constant data to some of my models. When sampling with `nuts_sampler="pymc"`, `idata` contains a group denominated as...

bug

We should release again with the patch from #61 It looks like the last [conda](https://github.com/conda-forge/nutpie-feedstock/pull/22) version was released without updating the python version, so it shows as 0.8.1 while it...

> From the benchmarks I did, it seems to be the fastest CPU based sampler I could find, outperforming cmdstan and numpyro. jw if you could post the scripts you...

Would be neat if we could use nutpie as a step sampler with the other PyMC samplers (without killing performance too much) Might justify refactoring the trace backend CC @michaelosthege...