Changes:
1. Remove references to c-code which apply to `COp` but not `Op`
2. Fix failing doctests
3. Improve explanation of `make_node`
4. Emphasize distinction between itypes/otypes and make-node
5. Show `L_op` instead of `grad`
6. Show how to test `L_op` and `infer_shape` implementation
7. Simplify explanation of `__props__` and illustrate in example.
8. Introduce more complex multi-output Op to drive these details home
9. Remove old references to numba/ random variable Ops

* More robust shape check for `grad` fallback in `jacobian`

* Update scalar test

https://github.com/numpy/numpy/issues/17864

Do not normalize constant axis in make_node and fix rewrite that assumed this would always be positive

Co-authored-by: Jesse Grabowski <48652735+jessegrabowski@users.noreply.github.com>

Bug introduced in 709f745c

NOTE: CI failing at this point

Bug was caused by reusing the adjusted strides in the logic to decide whether the call to GEMV should be transposed or not.

Particularly the +1 in the strides variable was causing the error branch (no double-strides) to be reached wrongly. The +1 was supposedly there for the case of matrix with length 0, but that triggers a branch where the adjusted strides are never used.

This bug was introduced in afe934b2

Bumps [pypa/cibuildwheel](https://github.com/pypa/cibuildwheel) from 2.23.0 to 2.23.3.
- [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/v2.23.0...v2.23.3)

---
updated-dependencies:
- dependency-name: pypa/cibuildwheel
  dependency-version: 2.23.3
  dependency-type: direct:production
  update-type: version-update:semver-patch
...
Signed-off-by: dependabot[bot] <support@github.com>