Modify atleast_Nd to accept only one positional argument

[Abhinav-Khot]

Description

Modified atleast_Nd to accept only one positional argument. Also modified the tests to account for this change.

After the changes, in atleast_Nd(x, 1), x is interpreted as an array and 1 is interpreted as the dimension. This change is reflected in the tests too.

Related Issue

• Closes atleast_Nd should only accept one positional argument #1290
• Related to #

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--1291.org.readthedocs.build/en/1291/

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 82.00%. Comparing base (2a7f3e1) to head (b94687f).
Report is 156 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #1291   +/-   ##
=======================================
  Coverage   81.99%   82.00%           
=======================================
  Files         188      188           
  Lines       48553    48527   -26     
  Branches     8673     8667    -6     
=======================================
- Hits        39812    39793   -19     
+ Misses       6579     6578    -1     
+ Partials     2162     2156    -6     

Files with missing lines	Coverage Δ
pytensor/tensor/basic.py	91.33% <100.00%> (-0.03%)	⬇️

... and 10 files with indirect coverage changes

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[ricardoV94]

Just to avoid surprises, I would make it so you have to specify n explicitly like before. It simply doesn't accept multiple arrays anymore, so it won't be a silent change if someone was relying on this.

Later on we can allow n to be positional only like you did now.

Suggested change

	arry: np.ndarray | TensorVariable, n: int = 1, left: bool = True
	arry: np.ndarray | TensorVariable, *, n: int = 1, left: bool = True

[Abhinav-Khot]

I have made this change, modified the tests accordingly too

[ricardoV94]

Thanks @Abhinav-Khot