Update the docstrings to match the actual code defaults

[ytl0623]

Fixes #8689

Description

Update the docstrings to match the actual code defaults.

1. AsymmetricFocalLoss (line 103, 111): gamma
2. AsymmetricUnifiedFocalLoss (line 162, 171): gamma
3. AsymmetricUnifiedFocalLoss (line 172): epsilon

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.

[coderabbitai]

📝 Walkthrough

Walkthrough

The PR updates defaults and docstrings in monai/losses/unified_focal_loss.py. AsymmetricFocalTverskyLoss: constructor default for gamma changed to 2 and docstring updated to match. AsymmetricUnifiedFocalLoss: docstring defaults for gamma and weight updated to reflect gamma=0.5 and weight=0.5; no runtime signature change.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~8 minutes

🚥 Pre-merge checks | ✅ 5

✅ Passed checks (5 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title accurately describes the main change: updating docstrings to match actual code defaults.
Linked Issues check	✅ Passed	PR addresses all three objectives from issue #8689: corrects gamma defaults for AsymmetricFocalLoss and AsymmetricUnifiedFocalLoss, and handles epsilon documentation.
Out of Scope Changes check	✅ Passed	All changes are scoped to docstring updates in unified_focal_loss.py matching issue #8689 requirements; method signature change to gamma=2 is directly tied to the fix.
Docstring Coverage	✅ Passed	Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.
Description check	✅ Passed	PR description follows template structure with issue reference, clear description, and appropriate checkboxes marked.

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✨ Finishing touches

• 📝 Generate docstrings

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[coderabbitai]

Actionable comments posted: 1

🤖 Fix all issues with AI agents

In `@monai/losses/unified_focal_loss.py`:
- Around line 171-172: The docstring for the weight parameter is out of sync
with the function signature: update the docstring for the weight parameter in
UnifiedFocalLoss (the parameter named weight in the constructor/signature) to
reflect the actual default of 0.5 (e.g., "Defaults to 0.5.") so it matches the
signature where weight: float = 0.5.

📜 Review details

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📥 Commits

Reviewing files that changed from the base of the PR and between 57fdd59 and 6925d03.

📒 Files selected for processing (1)

• monai/losses/unified_focal_loss.py

🧰 Additional context used

📓 Path-based instructions (1)

**/*.py

⚙️ CodeRabbit configuration file

Review the Python code for quality and correctness. Ensure variable names adhere to PEP8 style guides, are sensible and informative in regards to their function, though permitting simple names for loop and comprehension variables. Ensure routine names are meaningful in regards to their function and use verbs, adjectives, and nouns in a semantically appropriate way. Docstrings should be present for all definition which describe each variable, return value, and raised exception in the appropriate section of the Google-style of docstrings. Examine code for logical error or inconsistencies, and suggest what may be changed to addressed these. Suggest any enhancements for code improving efficiency, maintainability, comprehensibility, and correctness. Ensure new or modified definitions will be covered by existing or new unit tests.

Files:

• monai/losses/unified_focal_loss.py

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🔇 Additional comments (1)

monai/losses/unified_focal_loss.py (1)

111-111: Docstring now matches code default.

Correctly aligned with gamma: float = 2 on line 103.

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