apply Black 2024 style in fbcode (4/16)

Summary:
Formats the covered files with pyfmt.

paintitblack

Reviewed By: aleivag

Differential Revision: D54447727

fbshipit-source-id: 8844b1caa08de94d04ac4df3c768dbf8c865fd2f

tests/implicitron/test_extending_orm_types.py

@@ -61,9 +61,9 @@ class ExtendedSqlFrameAnnotation(SqlFrameAnnotation):
 
 
 class ExtendedSqlIndexDataset(SqlIndexDataset):
-    frame_annotations_type: ClassVar[
-        Type[SqlFrameAnnotation]
-    ] = ExtendedSqlFrameAnnotation
+    frame_annotations_type: ClassVar[Type[SqlFrameAnnotation]] = (
+        ExtendedSqlFrameAnnotation
+    )
 
 
 class CanineFrameData(FrameData):
@@ -96,9 +96,9 @@ class CanineFrameDataBuilder(
 
 
 class CanineSqlIndexDataset(SqlIndexDataset):
-    frame_annotations_type: ClassVar[
-        Type[SqlFrameAnnotation]
-    ] = ExtendedSqlFrameAnnotation
+    frame_annotations_type: ClassVar[Type[SqlFrameAnnotation]] = (
+        ExtendedSqlFrameAnnotation
+    )
 
     frame_data_builder_class_type: str = "CanineFrameDataBuilder"
 

tests/implicitron/test_frame_data_builder.py

@@ -85,11 +85,11 @@ class TestFrameDataBuilder(TestCaseMixin, unittest.TestCase):
             camera_quality_score=safe_as_tensor(
                 self.seq_annotation.viewpoint_quality_score, torch.float
             ),
-            point_cloud_quality_score=safe_as_tensor(
-                point_cloud.quality_score, torch.float
-            )
-            if point_cloud is not None
-            else None,
+            point_cloud_quality_score=(
+                safe_as_tensor(point_cloud.quality_score, torch.float)
+                if point_cloud is not None
+                else None
+            ),
         )
 
     def test_frame_data_builder_args(self):

tests/implicitron/test_json_index_dataset_provider_v2.py

@@ -168,7 +168,10 @@ def _make_random_json_dataset_map_provider_v2_data(
                 mask_path = os.path.join(maskdir, f"frame{i:05d}.png")
                 mask = np.zeros((H, W))
                 mask[H // 2 :, W // 2 :] = 1
-                Image.fromarray((mask * 255.0).astype(np.uint8), mode="L",).convert(
+                Image.fromarray(
+                    (mask * 255.0).astype(np.uint8),
+                    mode="L",
+                ).convert(
                     "L"
                 ).save(mask_path)
 

tests/implicitron/test_models_renderer_base.py

@@ -222,10 +222,7 @@ class TestRendererBase(TestCaseMixin, unittest.TestCase):
         np.testing.assert_allclose(
             (delta**2) / 3
             - (4 / 15)
-            * (
-                (delta**4 * (12 * mu**2 - delta**2))
-                / (3 * mu**2 + delta**2) ** 2
-            ),
+            * ((delta**4 * (12 * mu**2 - delta**2)) / (3 * mu**2 + delta**2) ** 2),
             t_var.numpy(),
         )
         np.testing.assert_allclose(