When a subgraph with multiple outputs is "implicitly" claimed, it can change the dependencies of remaining nodes. A node that depended only on a subset of the subgraph outputs now depends on all of them. Not taking this into account could lead to circular dependent Composites

* Initial plan

* Fix pt.flip to handle negative axis correctly using normalize_axis_tuple
Co-authored-by: ricardoV94 <28983449+ricardoV94@users.noreply.github.com>

* Expand existing test_flip function to include negative axis tests
Co-authored-by: ricardoV94 <28983449+ricardoV94@users.noreply.github.com>

* Fix mypy error by using separate variable for normalized axis
Co-authored-by: ricardoV94 <28983449+ricardoV94@users.noreply.github.com>

* Fix ruff formatting issues
Co-authored-by: jessegrabowski <48652735+jessegrabowski@users.noreply.github.com>

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Bumps [pypa/cibuildwheel](https://github.com/pypa/cibuildwheel) from 2.23.3 to 3.2.0.
- [Release notes](https://github.com/pypa/cibuildwheel/releases)
- [Changelog](https://github.com/pypa/cibuildwheel/blob/main/docs/changelog.md)
- [Commits](https://github.com/pypa/cibuildwheel/compare/faf86a6ed7efa889faf6996aa23820831055001a...7c619efba910c04005a835b110b057fc28fd6e93)

---
updated-dependencies:
- dependency-name: pypa/cibuildwheel
  dependency-version: 3.2.0
  dependency-type: direct:production
  update-type: version-update:semver-major
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Bumps [actions/setup-python](https://github.com/actions/setup-python) from 5 to 6.
- [Release notes](https://github.com/actions/setup-python/releases)
- [Commits](https://github.com/actions/setup-python/compare/v5...v6)

---
updated-dependencies:
- dependency-name: actions/setup-python
  dependency-version: '6'
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  update-type: version-update:semver-major
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Bumps [actions/attest-build-provenance](https://github.com/actions/attest-build-provenance) from 2 to 3.
- [Release notes](https://github.com/actions/attest-build-provenance/releases)
- [Changelog](https://github.com/actions/attest-build-provenance/blob/main/RELEASE.md)
- [Commits](https://github.com/actions/attest-build-provenance/compare/v2...v3)

---
updated-dependencies:
- dependency-name: actions/attest-build-provenance
  dependency-version: '3'
  dependency-type: direct:production
  update-type: version-update:semver-major
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Bumps [actions/checkout](https://github.com/actions/checkout) from 4 to 5.
- [Release notes](https://github.com/actions/checkout/releases)
- [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md)
- [Commits](https://github.com/actions/checkout/compare/v4...v5)

---
updated-dependencies:
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  dependency-version: '5'
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Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 4 to 5.
- [Release notes](https://github.com/actions/download-artifact/releases)
- [Commits](https://github.com/actions/download-artifact/compare/v4...v5)

---
updated-dependencies:
- dependency-name: actions/download-artifact
  dependency-version: '5'
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  update-type: version-update:semver-major
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Co-authored-by: Jonas <jonas.dehning@ds.mpg.de>
Co-authored-by: Ricardo Vieira <28983449+ricardoV94@users.noreply.github.com>

The change in number of fused kernels has to do with the order of iteration, and could be replicated in the old approach by iterating in topological order. It was an accident that it happen to visit in an order where it connected two branches, instead of keeping them separate. The underlying limitation already existed and is described in https://github.com/pymc-devs/pytensor/issues/249

It's not really needed as we never expand on the new nodes

Not using `__call__` avoids the test_value computation

* added identity as alias for tensor_copy and defined No-Op for TensorFromScalar

* refactor: jacobian should use tensorize

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* removed redundant pprint

* refactor: added vectorize=True to all jacobians

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Add option to vectorize jacobian in minimize/root

* pre-commit

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* Avoid reversing inputs as we traverse graph
* Simplify io_toposort without ordering (and refactor into its own function)
* Removes client side-effect on previous toposort functions
* Remove duplicated logic across methods

Also avoid repeated checks when an outer rewriter enforces tracks before calling individual node rewriters