Fix code formatting and improve deprecation test

- Apply black formatting to transforms.py and test file
- Improve test_deprecated_name_warning docstring to explain the testing approach
- Add verification that actual NormalizeLabelsInDatasetd class works
- Rename test class to DeprecatedNormalizeLabels for clarity

Signed-off-by: Soumya Snigdha Kundu <[email protected]>

Author: aymuos15

monai/apps/deepedit/transforms.py

@@ -134,9 +134,7 @@ def __call__(self, data: Mapping[Hashable, np.ndarray]) -> dict[Hashable, np.nda
             label = np.zeros(d[key].shape)
 
             # Sort label names to ensure deterministic ordering (exclude background)
-            sorted_labels = sorted(
-                [(k, v) for k, v in self.label_names.items() if k != "background"]
-            )
+            sorted_labels = sorted([(k, v) for k, v in self.label_names.items() if k != "background"])
 
             # Always set background to 0 first
             if "background" in self.label_names:

tests/apps/deepedit/test_deepedit_transforms.py

@@ -291,16 +291,14 @@ def test_ordering_determinism(self):
         # Test case 1: liver first, then kidney, then spleen
         data1 = {"label": label.copy()}
         transform1 = RemapLabelsToSequentiald(
-            keys="label",
-            label_names={"liver": 6, "kidney": 3, "spleen": 1, "background": 0}
+            keys="label", label_names={"liver": 6, "kidney": 3, "spleen": 1, "background": 0}
         )
         result1 = transform1(data1)
 
         # Test case 2: spleen first, then kidney, then liver (different order)
         data2 = {"label": label.copy()}
         transform2 = RemapLabelsToSequentiald(
-            keys="label",
-            label_names={"spleen": 1, "kidney": 3, "liver": 6, "background": 0}
+            keys="label", label_names={"spleen": 1, "kidney": 3, "liver": 6, "background": 0}
         )
         result2 = transform2(data2)
 
@@ -321,8 +319,7 @@ def test_multiple_labels(self):
         label = np.array([[[0, 1, 2, 5]]])  # background, spleen, kidney, liver
         data = {"label": label.copy()}
         transform = RemapLabelsToSequentiald(
-            keys="label",
-            label_names={"spleen": 1, "kidney": 2, "liver": 5, "background": 0}
+            keys="label", label_names={"spleen": 1, "kidney": 2, "liver": 5, "background": 0}
         )
         result = transform(data)
 
@@ -332,28 +329,45 @@ def test_multiple_labels(self):
         self.assertEqual(result["label_names"], {"background": 0, "kidney": 1, "liver": 2, "spleen": 3})
 
     def test_deprecated_name_warning(self):
-        """Test that using the deprecated name raises a warning when version >= 1.6"""
+        """Test that using the deprecated NormalizeLabelsInDatasetd raises a warning.
+
+        This test verifies the deprecation mechanism by using version_val parameter
+        to simulate version 1.6 where the deprecation warning should be triggered.
+        The actual NormalizeLabelsInDatasetd class uses the @deprecated decorator
+        with since="1.6", so warnings will only appear when MONAI version >= 1.6.
+        """
         import warnings
 
         from monai.utils import deprecated
 
-        # Create a test class with version_val to simulate version 1.6
-        @deprecated(since="1.6", removed="1.8", msg_suffix="Use `RemapLabelsToSequentiald` instead.", version_val="1.6")
-        class TestDeprecatedClass(RemapLabelsToSequentiald):
-            pass
-
         data = {"label": np.array([[[0, 1]]])}
 
+        # Create a test wrapper that simulates version 1.6 behavior
+        # This tests the same deprecation mechanism used by NormalizeLabelsInDatasetd
+        @deprecated(
+            since="1.6",
+            removed="1.8",
+            msg_suffix="Use `RemapLabelsToSequentiald` instead.",
+            version_val="1.6",  # Simulate version 1.6 to trigger warning
+        )
+        class DeprecatedNormalizeLabels(RemapLabelsToSequentiald):
+            pass
+
         with warnings.catch_warnings(record=True) as w:
             warnings.simplefilter("always")
-            transform = TestDeprecatedClass(keys="label", label_names={"spleen": 1, "background": 0})
+            transform = DeprecatedNormalizeLabels(keys="label", label_names={"spleen": 1, "background": 0})
             _ = transform(data)  # Invoke the transform to confirm functionality
 
             # Check that a deprecation warning was raised (deprecated decorator uses FutureWarning)
             self.assertEqual(len(w), 1)
             self.assertTrue(issubclass(w[0].category, FutureWarning))
             self.assertIn("RemapLabelsToSequentiald", str(w[0].message))
 
+        # Also verify the actual NormalizeLabelsInDatasetd class exists and works
+        transform_actual = NormalizeLabelsInDatasetd(keys="label", label_names={"spleen": 1, "background": 0})
+        result = transform_actual({"label": np.array([[[0, 1]]])})
+        self.assertIn("label", result)
+
 
 class TestResizeGuidanceMultipleLabelCustomd(unittest.TestCase):