Same behavior can be obtained with `optimizer_excluding`

The `local_careduce_rewrite` is now included in this database. Otherwise it would usually not be applied because it ran before the fusion rewrites

Bumps [pypa/gh-action-pypi-publish](https://github.com/pypa/gh-action-pypi-publish) from 1.8.6 to 1.8.7.
- [Release notes](https://github.com/pypa/gh-action-pypi-publish/releases)
- [Commits](https://github.com/pypa/gh-action-pypi-publish/compare/v1.8.6...v1.8.7)

---
updated-dependencies:
- dependency-name: pypa/gh-action-pypi-publish
  dependency-type: direct:production
  update-type: version-update:semver-patch
...
Signed-off-by: dependabot[bot] <support@github.com>

This prevents surprises when passing two scalars, which are interpreted differently in the numpy API

These nodes must always be rebuilt in non-strict mode

Bumps [pypa/cibuildwheel](https://github.com/pypa/cibuildwheel) from 2.12.3 to 2.13.1.
- [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/v2.12.3...v2.13.1)

---
updated-dependencies:
- dependency-name: pypa/cibuildwheel
  dependency-type: direct:production
  update-type: version-update:semver-minor
...
Signed-off-by: dependabot[bot] <support@github.com>

Otherwise, it will show up everytime a Composite has been cached by th C backend

This allows the outputs to be views of the inputs. The Python and Numba implementation do that, but the C still performs a copy

Following the update of index.rst, a corresponding update of index.ipynb is necessary.

The `pydot_ng` recommendation should definitely be dropped since that project is officially archived in favor of pydot: https://github.com/pydot/pydot-ng

* Use better ASCII symbols
* Show continuation hint for already seen nodes
* Don't repeat entries for multiple output inner graphs

* Add failed assertion message in CI

* Pin numpy upper bound in numba install

numba-scipy downgrades the installed scipy to 1.7.3 in Python 3.8, but not numpy, even though scipy 1.7 requires numpy<1.23. When installing PyTensor next, pip installs a lower version of numpy via the PyPI.

* Run numba and jax tests in separate jobs

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Co-authored-by: Ben Mares <services-git-throwaway1@tensorial.com>

Supposed to be removed in 6d431aa6