Version bump 3.11.1

[rtg0795]

Patch release with a small fix

[gemini-code-assist]

Summary of Changes

Hello @rtg0795, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request primarily updates the Keras library version to 3.11.1. Additionally, it includes a targeted fix within the saving mechanism to ensure Operation objects are correctly processed, which is crucial for robust model serialization and deserialization.

Highlights

• Version Update: The Keras library version has been incremented from 3.11.0 to 3.11.1.
• Saving Library Enhancement: The get_attr_skipset function in keras/src/saving/saving_lib.py has been updated to properly recognize and handle Operation objects. This includes adjusting a conditional check from if to elif and extending the list of accepted object types in the validation error message to include Operation.

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[gemini-code-assist]

Code Review

This pull request bumps the package version to 3.11.1 and includes two bug fixes in keras/src/saving/saving_lib.py. The first change corrects an if/elif logic flow, and the second updates an error message to include a missing valid type. The code changes are sound and improve the overall quality.

[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 82.72%. Comparing base (7bf852c) to head (e0d0c1c).

Additional details and impacted files

@@           Coverage Diff           @@
##            r3.11   #21535   +/-   ##
=======================================
  Coverage   82.72%   82.72%           
=======================================
  Files         567      567           
  Lines       56264    56264           
  Branches     8797     8797           
=======================================
  Hits        46544    46544           
  Misses       7562     7562           
  Partials     2158     2158           

Flag	Coverage Δ
keras	82.53% <100.00%> (ø)
keras-jax	63.93% <100.00%> (ø)
keras-numpy	58.41% <100.00%> (ø)
keras-openvino	34.56% <50.00%> (ø)
keras-tensorflow	64.35% <100.00%> (ø)
keras-torch	63.98% <100.00%> (ø)

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