tests: remove duplicate and dead test cases

[aymuos15]

Description

Test-only cleanup. Removes byte-identical duplicate cases and one permanently-skipped test. No production code or test logic changes.

Changes

Duplicate within-file parametrized cases (identical entries that asserted the same thing twice, so removal changes nothing covered):

• tests/losses/test_unified_focal_loss.py: both TEST_CASES entries were identical
• tests/inferers/test_sliding_window_inference.py: duplicate 3D small roi case
• tests/losses/test_dice_loss.py: sigmoid case repeated
• tests/losses/test_generalized_dice_loss.py: sigmoid case repeated
• tests/transforms/utility/test_apply_transform_to_pointsd.py: duplicate entry

Dead test removed:

• tests/apps/test_download_url_yandex.py: removed test_verify and its now-unused YANDEX_MODEL_URL. It was permanently @unittest.skip-ed ("data source unstable") and hits an external Yandex URL, so it never runs in CI. The error path stays covered by test_verify_error.

Types of changes

• Non-breaking change (test-only cleanup)
• In-line documentation / comments updated as needed
• All tests passing locally

[coderabbitai]

📝 Walkthrough

Walkthrough

This PR removes test coverage across five test modules. The changes eliminate one unreliable Yandex download test and its constant; prune one 3D sliding-window inference scenario; remove single parameterized cases from GeneralizedDiceLoss, UnifiedFocalLoss, and point-transform coordinate tests. All changes are deletions from test data or test methods with no alterations to core logic.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~3 minutes

🚥 Pre-merge checks | ✅ 5

✅ Passed checks (5 passed)

Check name	Status	Explanation
Title check	✅ Passed	Title accurately and concisely summarizes the main change: removing duplicate and dead test cases.
Description check	✅ Passed	Description covers the purpose, specific changes, and types of changes checked; aligned well with template requirements.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.

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✨ Finishing Touches

🧪 Generate unit tests (beta)

• Create PR with unit tests

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[coderabbitai]

🧹 Nitpick comments (1)

tests/losses/test_unified_focal_loss.py (1)

22-30: ⚡ Quick win

Test coverage now minimal after duplicate removal.

Only one test case remains, covering perfect prediction (loss = 0.0). Loss functions need diverse scenarios: imperfect predictions, non-zero loss values, parameter variations (weight, gamma, delta), edge cases.

Suggested additional test cases

TEST_CASES = [
    [  # shape: (2, 1, 2, 2), (2, 1, 2, 2) - perfect prediction
        {
            "y_pred": torch.tensor([[[[1.0, 0], [0, 1.0]]], [[[1.0, 0], [0, 1.0]]]]),
            "y_true": torch.tensor([[[[1.0, 0], [0, 1.0]]], [[[1.0, 0], [0, 1.0]]]]),
        },
        0.0,
    ],
    [  # imperfect prediction - partial mismatch
        {
            "y_pred": torch.tensor([[[[0.8, 0.2], [0.3, 0.9]]], [[[0.7, 0.1], [0.2, 0.85]]]]),
            "y_true": torch.tensor([[[[1.0, 0], [0, 1.0]]], [[[1.0, 0], [0, 1.0]]]]),
        },
        # expected_val would need to be calculated based on loss formula
    ],
    # Add cases for different weight, gamma, delta parameters
]

🤖 Prompt for AI Agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@tests/losses/test_unified_focal_loss.py` around lines 22 - 30, Replace the
single perfect-prediction entry in TEST_CASES with multiple diverse cases: keep
the existing perfect case, add at least one imperfect-prediction case (modify
y_pred vs y_true to produce non-zero loss), add edge cases (all-zeros/constant
predictions, class-imbalance patterns), and add cases that exercise different
loss parameters (pass explicit weight, gamma, delta variations to the
UnifiedFocalLoss call). Ensure each new case in TEST_CASES references the same
keys ("y_pred", "y_true") and provides either a precomputed expected value (for
deterministic settings) or mark it for approximate/asserted range checks when
exact numeric values are complex; use the symbols TEST_CASES, y_pred, y_true and
the loss parameters weight/gamma/delta to locate where to modify tests.

🤖 Prompt for all review comments with AI agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Nitpick comments:
In `@tests/losses/test_unified_focal_loss.py`:
- Around line 22-30: Replace the single perfect-prediction entry in TEST_CASES
with multiple diverse cases: keep the existing perfect case, add at least one
imperfect-prediction case (modify y_pred vs y_true to produce non-zero loss),
add edge cases (all-zeros/constant predictions, class-imbalance patterns), and
add cases that exercise different loss parameters (pass explicit weight, gamma,
delta variations to the UnifiedFocalLoss call). Ensure each new case in
TEST_CASES references the same keys ("y_pred", "y_true") and provides either a
precomputed expected value (for deterministic settings) or mark it for
approximate/asserted range checks when exact numeric values are complex; use the
symbols TEST_CASES, y_pred, y_true and the loss parameters weight/gamma/delta to
locate where to modify tests.

---

ℹ️ Review info

⚙️ Run configuration

Configuration used: Path: .coderabbit.yaml

Review profile: CHILL

Plan: Pro

Run ID: caf5c6f5-2344-48f2-8ab8-c2030b22206b

📥 Commits

Reviewing files that changed from the base of the PR and between 013bda0 and 9fefa78.

📒 Files selected for processing (6)

• tests/apps/test_download_url_yandex.py
• tests/inferers/test_sliding_window_inference.py
• tests/losses/test_dice_loss.py
• tests/losses/test_generalized_dice_loss.py
• tests/losses/test_unified_focal_loss.py
• tests/transforms/utility/test_apply_transform_to_pointsd.py

💤 Files with no reviewable changes (5)

• tests/inferers/test_sliding_window_inference.py
• tests/transforms/utility/test_apply_transform_to_pointsd.py
• tests/apps/test_download_url_yandex.py
• tests/losses/test_generalized_dice_loss.py
• tests/losses/test_dice_loss.py