Add aliases for arithmetic inequality function equivalents in NumPy

[lmmx]

Motivation for these changes

Updated the logical function mappings in PyTensor to align with NumPy's logical functions. This enhances compatibility and eases the transition for users familiar with NumPy, making PyTensor more intuitive and accessible.

Fulfils:

• Add alias for logical function as called in numpy #462

Implementation details

I reviewed the correspondence and made a table in the issue tracker, then made aliases for those that were not a direct name match. I also added them to the __all__ alongside the names they alias.

Checklist

• Explain motivation and implementation 👆
• Make sure that the pre-commit linting/style checks pass.
• Link relevant issues, preferably in nice commit messages.
• The commits correspond to relevant logical changes. Note that if they don't, we will rewrite/rebase/squash the git history before merging.
• Are the changes covered by tests and docstrings?
• Fill out the short summary sections 👇

Major / Breaking Changes

• None, compatibility was added not removed

New features

• New aliases for tensor logic functions

Bugfixes

• N/A

Documentation

• Documented in the style of the existing NumPy aliases

Maintenance

• N/A

[lmmx]

There are others but they're scattered around the module: perhaps they should all be put together?

bitwise_and = and_  # numpy name for it

bitwise_or = or_  # numpy name for it

bitwise_xor = xor  # numpy name for it

bitwise_not = invert  # numpy alias for it

# alias to sqr, included to maintain similarity with numpy interface
square = sqr

• None of these are imported into the test file at tests/tensor/test_math.py either 🤔
• They are covered by docs though here

[jessegrabowski]

I think it would be great to gather everything into one place

[codecov-commenter]

Codecov Report

Merging #533 (e9354b1) into main (c38eea0) will increase coverage by 0.00%.
Report is 2 commits behind head on main.
The diff coverage is 94.43%.

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #533   +/-   ##
=======================================
  Coverage   80.90%   80.90%           
=======================================
  Files         162      162           
  Lines       46416    46422    +6     
  Branches    11354    11354           
=======================================
+ Hits        37554    37560    +6     
  Misses       6639     6639           
  Partials     2223     2223           

Files	Coverage Δ
pytensor/breakpoint.py	55.00% <ø> (ø)
pytensor/compile/builders.py	77.17% <100.00%> (ø)
pytensor/graph/basic.py	89.08% <ø> (ø)
pytensor/graph/rewriting/kanren.py	100.00% <ø> (ø)
pytensor/ifelse.py	51.70% <100.00%> (ø)
pytensor/link/jax/dispatch/random.py	96.05% <100.00%> (ø)
pytensor/link/jax/dispatch/shape.py	87.09% <ø> (ø)
pytensor/link/jax/dispatch/subtensor.py	88.13% <ø> (ø)
pytensor/link/jax/dispatch/tensor_basic.py	91.96% <ø> (ø)
pytensor/link/numba/dispatch/random.py	98.83% <100.00%> (ø)
... and 36 more

[ricardoV94]

Need to fix conflicts with changes in main, otherwise ready to merge

[lmmx]

On my 3rd try at interactive rebasing I gave up and did it in the web editor! 😮‍💨 It kept saying there were going to be 26 commits, I briefly saw the option to squash but it didn't show up on 2nd try, think that was the right way.

Oh well, should be good now, looks like the web editor didn't mess up the code style check

[ricardoV94]

Thanks @lmmx and sorry for the for pain!