Add input validation to ImageStats class

[Emdya]

Fixes # .

Description

This pull request adds input validation to the ImageStats class in monai/auto3dseg/analyzer.py.
Specifically, it introduces type and value checks at the start of the call method to ensure: The input is a dictionary. The specified image_key exists in the input data. The value for image_key is a NumPy array, torch.Tensor, or MetaTensor. The image array has at least 3 dimensions. If any of these checks fail, an informative error is raised.This enhancement improves robustness and user experience by providing clearer feedback when invalid data is passed to the analyzer.

Types of changes

• Non-breaking change (fix or new feature that would not break existing functionality).
• Breaking change (fix or new feature that would cause existing functionality to change).
• New tests added to cover the changes.
• Integration tests passed locally by running ./runtests.sh -f -u --net --coverage.
• Quick tests passed locally by running ./runtests.sh --quick --unittests --disttests.
• In-line docstrings updated.
• Documentation updated, tested make html command in the docs/ folder.

Summary by CodeRabbit

• Bug Fixes
  • Improved input validation for image statistics analysis to provide clearer error messages when inputs are invalid.

[coderabbitai]

Walkthrough

Input validation was added to the __call__ method of the ImageStats class in monai/auto3dseg/analyzer.py. The method now checks the type and structure of its input, raising appropriate exceptions for invalid data before proceeding with its existing logic.

Changes

File	Change Summary
monai/auto3dseg/analyzer.py	Enhanced ImageStats.__call__ with input type and dimension checks

Poem

A bunny checks the data twice,
To make sure all is neat and nice.
If types are wrong or keys astray,
It raises paws without delay.
With every hop, the code’s more sound—
Safe and snug, all bugs unbound! 🐇

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Reviewing files that changed from the base of the PR and between d388d1c and 0efaaa6.

📒 Files selected for processing (1)

• monai/auto3dseg/analyzer.py (1 hunks)

🧰 Additional context used

🧬 Code Graph Analysis (1)

monai/auto3dseg/analyzer.py (1)

monai/data/meta_tensor.py (1)

• MetaTensor (52-609)

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🔇 Additional comments (1)

monai/auto3dseg/analyzer.py (1)

221-234: Excellent validation logic implementation.

The validation checks are comprehensive and well-implemented:

• Proper type checking for the input data dictionary
• Key existence verification with clear error messaging
• Appropriate tensor type validation (numpy, torch, MetaTensor)
• Dimensionality requirement enforcement for medical imaging

The error messages are informative and will help users quickly identify input issues.

✨ Finishing Touches

• 📝 Generate Docstrings

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[KumoLiu]

/build