Rewrites for triangular matrices

[tanish1729]

Description

Currently, we check for triangular matrices by seeing whether it is an output of a cholesky Op or not. It can then be used to add optimized rewrites for the triangular matrices.

1. det(triangular) -> product of diagonal elements
2. inv(triangular) -> use solve triangular

Related Issue

• Related to ENH: Implement COLA library rewrites for linear algebra functions #573

Checklist

• Checked that the pre-commit linting/style checks pass
• Included tests that prove the fix is effective or that the new feature works
• Added necessary documentation (docstrings and/or example notebooks)
• If you are a pro: each commit corresponds to a relevant logical change

Type of change

• New feature / enhancement
• Bug fix
• Documentation
• Maintenance
• Other (please specify):

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📚 Documentation preview 📚: https://pytensor--1131.org.readthedocs.build/en/1131/

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 82.13%. Comparing base (231a977) to head (0c43019).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1131      +/-   ##
==========================================
+ Coverage   82.10%   82.13%   +0.02%     
==========================================
  Files         185      185              
  Lines       48130    48158      +28     
  Branches     8669     8673       +4     
==========================================
+ Hits        39519    39555      +36     
+ Misses       6444     6438       -6     
+ Partials     2167     2165       -2     

Files with missing lines	Coverage Δ
pytensor/tensor/rewriting/linalg.py	93.25% <100.00%> (+0.48%)	⬆️

... and 2 files with indirect coverage changes