Fix docstring typos across codebase

[aymuos15]

Summary

I was doing reviews with AI code reviewers and it caught some docstring typos.

• Fix "nEfficient" to "an Efficient" in downsample.py, upsample.py, utils.py
• Fix "utilty" to "utility" in utils.py
• Fix "vaue" to "value" in utils.py
• Fix "simmily" to "similarly" in unified_focal_loss.py (3 occurrences)
• Fix "represenation" to "representation" in nacl_loss.py
• Add missing f-string prefix in image_dissimilarity.py error message

Test plan

• All modified files import successfully
• unified_focal_loss.py tests pass (4 passed)
• nacl_loss.py tests pass (7 passed)
• Upsample/Downsample block tests pass (177 passed)
• f-string fix verified - error message now correctly shows num_bins value

Note: These are all non-breaking docstring/comment fixes only.

[coderabbitai]

📝 Walkthrough

Walkthrough

This PR corrects documentation and a minor string interpolation issue across six files. Changes include fixing typos in docstrings ("nEfficient" → "Efficient", "represenation" → "representation", "utilty" → "utility", "vaue" → "value"), updating a paper title reference, and fixing string interpolation in an error message to display the actual num_bins value instead of a placeholder. All changes are documentation-only except for one functional string interpolation fix.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~3 minutes

🚥 Pre-merge checks | ✅ 3

✅ Passed checks (3 passed)

Check name	Status	Explanation
Title check	✅ Passed	Title clearly and concisely summarizes the main change: fixing docstring typos across multiple files.
Description check	✅ Passed	Description is complete with summary of changes, test results, and non-breaking nature clearly stated. All key information aligns with the PR objectives.
Docstring Coverage	✅ Passed	Docstring coverage is 87.50% which is sufficient. The required threshold is 80.00%.

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✨ Finishing touches

• 📝 Generate docstrings

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📜 Recent review details

Configuration used: Path: .coderabbit.yaml

Review profile: CHILL

Plan: Pro

Cache: Disabled due to data retention organization setting

Knowledge base: Disabled due to Reviews -> Disable Knowledge Base setting

📥 Commits

Reviewing files that changed from the base of the PR and between 57fdd59 and 1d32832.

📒 Files selected for processing (6)

• monai/losses/image_dissimilarity.py
• monai/losses/nacl_loss.py
• monai/losses/unified_focal_loss.py
• monai/networks/blocks/downsample.py
• monai/networks/blocks/upsample.py
• monai/networks/utils.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/networks/blocks/upsample.py
• monai/losses/unified_focal_loss.py
• monai/losses/image_dissimilarity.py
• monai/networks/blocks/downsample.py
• monai/losses/nacl_loss.py
• monai/networks/utils.py

🪛 Ruff (0.14.10)

monai/losses/image_dissimilarity.py

226-226: Avoid specifying long messages outside the exception class

(TRY003)

⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (19)

• GitHub Check: min-dep-pytorch (2.8.0)
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• GitHub Check: min-dep-pytorch (2.5.1)
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🔇 Additional comments (10)

monai/losses/nacl_loss.py (1)

87-87: LGTM!

Docstring typo corrected.

monai/losses/image_dissimilarity.py (1)

226-226: LGTM!

The f-string prefix fix ensures num_bins value is properly interpolated in the error message instead of displaying the literal placeholder.

monai/networks/blocks/downsample.py (1)

235-235: LGTM!

Paper title reference corrected in docstring.

monai/networks/blocks/upsample.py (1)

198-198: LGTM!

Paper title reference corrected in docstring.

monai/losses/unified_focal_loss.py (3)

48-48: LGTM!

Docstring typo corrected.

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112-112: LGTM!

Docstring typo corrected.

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172-172: LGTM!

Docstring typo corrected.

monai/networks/utils.py (3)

370-376: Grammar fix in pixelshuffle docstring.

Corrected "nEfficient" to "an Efficient" for proper article usage.

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1184-1187: Spelling fix in freeze_layers docstring.

Corrected "utilty" to "utility" in the function description.

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1272-1276: Spelling fix in CastToFloat docstring.

Corrected "vaue" to "value" in the class description.

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