Prevent local_sum_make_vector from introducing forbidden float64

[tvwenger]

Description

This PR changes the behavior of local_sum_make_vector to skip rewriting whenever the internal accumulator is more precise than both the input/output data and config.floatX. Otherwise, the internal accumulator is added to the graph, which can introduce forbidden float64 to the graph when the user requests config.floatX="float32".

Replaces PR #655 and #656

Related Issue

• Closes local_sum_make_vector rewrite can introduce forbidden float64 operations at the graph level  #653

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):

[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 80.82%. Comparing base (d175203) to head (cce1ab0).

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #659   +/-   ##
=======================================
  Coverage   80.82%   80.82%           
=======================================
  Files         162      162           
  Lines       46820    46822    +2     
  Branches    11438    11439    +1     
=======================================
+ Hits        37844    37846    +2     
  Misses       6725     6725           
  Partials     2251     2251           

Files	Coverage Δ
pytensor/tensor/rewriting/basic.py	94.07% <100.00%> (+0.02%)	⬆️

[tvwenger]

@ricardoV94 I implemented your less-restrictive approach and updated the tests. This PR is ready to review/merge

[tvwenger]

@ricardoV94 new tests implemented and ready for review/merge

[tvwenger]

@ricardoV94 Just a reminder that this PR is ready for review! Thanks for your help.

[ricardoV94]

Thanks for not only fixing the issue but sticking around to also improve the tests!