Docs - Fixed Syntax Error in vectorized_map function example

[dhantule]

I have fixed the vectorized_map function example in core.py, which had some syntax errors.

[gemini-code-assist]

Summary of Changes

Hello @dhantule, 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 focuses on improving the accuracy and usability of the Keras documentation by fixing syntax errors in the example code snippets for the vectorized_map function. The changes ensure that the provided examples are syntactically correct and reflect the intended usage, making them more helpful for developers.

Highlights

• Documentation Syntax Fix: Corrected missing colons in the def vectorized_map(function, elements) function definition examples within the keras/src/ops/core.py documentation.
• Example Code Logic Refinement: Updated the stack(outputs) call to np.stack(outputs) in one of the vectorized_map function examples, ensuring the example uses the correct NumPy stacking function.

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[gemini-code-assist]

Code Review

Thank you for fixing the syntax errors in the vectorized_map docstring. The changes are correct and improve the documentation. I've added one suggestion to further improve the conciseness and consistency of an example code snippet by using a list comprehension, which is more idiomatic Python.

[gemini-code-assist]

For improved conciseness and consistency with other examples in this file (like the map function's docstring), consider using a list comprehension. This is generally the preferred Pythonic way to build a list.

This would simplify the body of the example function to a single line.

Suggested change

	outputs = []
	for e in elements:
	outputs.append(function(e))
	return stack(outputs)
	return np.stack(outputs)
	return np.stack([function(e) for e in elements])

[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 82.88%. Comparing base (129e3d7) to head (4260aef).

Additional details and impacted files

@@            Coverage Diff             @@
##           master   #21503      +/-   ##
==========================================
+ Coverage   78.00%   82.88%   +4.87%     
==========================================
  Files         565      565              
  Lines       55701    55701              
  Branches     8691     8691              
==========================================
+ Hits        43451    46165    +2714     
+ Misses      10212     7421    -2791     
- Partials     2038     2115      +77     

Flag	Coverage Δ
keras	82.69% <ø> (+4.84%)	⬆️
keras-jax	63.46% <ø> (?)
keras-numpy	58.66% <ø> (-0.01%)	⬇️
keras-openvino	33.99% <ø> (ø)
keras-tensorflow	63.89% <ø> (ø)
keras-torch	63.53% <ø> (ø)

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