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PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

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Bumps [pypa/gh-action-pypi-publish](https://github.com/pypa/gh-action-pypi-publish) from 1.9.0 to 1.10.2. Release notes Sourced from pypa/gh-action-pypi-publish's releases. v1.10.2 💅 Cosmetic Output Improvements In #250 and #258, @​facutuesca💰 added a nudge message with a magic link...

GitHub CI/CD
no releasenotes

### Describe the issue: On current PyMC (5.16.2) and PyTensor (2.25.4) on OSX 15.0 Beta (24A5327a) all compilation fails. This was also reported in https://discourse.pymc.io/t/environment-not-working-anymore-on-macos/14210. ### Reproducable code example: ```python...

bug

Missing from #998

no releasenotes

https://github.com/pymc-devs/pytensor/blob/47478e699ca872e1ad7c094594c46b6e86b596e0/pytensor/configdefaults.py#L352 I get the following `E DeprecationWarning: Use shutil.which instead of find_executable`

help wanted

### Description We improvement in the static shape output of Subtensor many of these tests (maybe all) no longer fail (they XPASS). We should remove the mark.

beginner friendly
tests
static shape

## Description Add the IfElse op support in torch (reopened cause i `git screwup` my old branch) ## Related Issue - [ ] Closes # - [ ] Related to...

## Description This builds on @aseyboldt's work in #944. It is part of the INLA hackathon (https://github.com/pymc-devs/pymc-experimental/issues/340, specific related issues https://github.com/pymc-devs/pymc-experimental/issues/342 and https://github.com/pymc-devs/pymc-experimental/issues/343) and will later involve rewrites for the...

## Description Implement DimShuffle using expand_dims/squeeze ## Related Issue - [x] Closes #847 - [x] Related to #847 ## Checklist - [x] Checked that [the pre-commit linting/style checks pass](https://docs.pymc.io/en/latest/contributing/python_style.html) ##...

### Description This allows using the more efficient x[indices] += y, instead of np.add.at(x, indices, y)

graph rewriting
performance