Bumps [pypa/cibuildwheel](https://github.com/pypa/cibuildwheel) from 2.14.1 to 2.16.0.
- [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/v2.14.1...v2.16.0)

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

* Add numba overload for

* Overload dummy function instead of scipy.linalg

* Add tolerance for float32 tests

* Add tolerance for float32 tests

* Remove overload test

* Allow b to be 1d array

Remove test_SolveTriangular from numba\test_nlinalg.py

* Allow b to be 1d array

Remove test_SolveTriangular from numba\test_nlinalg.py

* revert local change to pyproject.toml

* add numba importorskip to test_slinalg.py

* Test all parameterizations of solve_triangular

* Raise when inputs are complex

Add informative message to error raised by check_finite=True

* simplify check for complex input types

* simplify check for complex input types

* Rename _get_addr_and_float_pointer to _get_lapack_ptr_and_ptr_type

Rename addr to lapack_ptr

* Don't copy A matrix in overload func

Don't copy B matrix when B is array in overload func

Bumps [actions/checkout](https://github.com/actions/checkout) from 3 to 4.
- [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/v3...v4)

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

Also:
 * rename `vectorize` kwarg by `replace`
 * add test for multiple outputs

Inspired by: https://github.com/aesara-devs/aesara/pull/1215Co-authored-by: Brandon T. Willard <brandonwillard@users.noreply.github.com>
Co-authored-by: Purna Chandra Mansingh <purnachandramansingh135@gmail.com>
Co-authored-by: Sayam Kumar <sayamkumar049@gmail.com3>
Co-authored-by: Kaustubh <ckaustubhm06@gmail.com>

Numba doesn't support dot with non-floating point arguments.

* Add pytensor function corresponding to

* Add pytensor function corresponding to

* Cast numpy to node output dtype, rather than depending on config.floatX

Change output type hint back to

* Cast numpy to node output dtype, rather than depending on config.floatX  Change output type hint back to

* Use  rather than  for output equality tests