Add comprehensive tests for edge depth extension, empty image edits, and material view adaptation

- Introduced `test_edge_depth.py` to validate the functionality of edge depth extension, ensuring core alpha preservation, proper depth handling, and edge padding behavior.
- Created `test_empty_image_edits.py` to verify the behavior of image edits in Blender, focusing on shared edits, preservation of image properties, and handling of failed operations.
- Developed `test_material_view_adaptation.py` to test material adaptation preferences, ensuring color space and alpha settings are correctly applied and preserved across various scenarios.

tests/test_cutout_objects.py

@@ -144,7 +144,7 @@ def test_image_edit_result_uses_complete_shared_source_name():
         np.zeros(4 * 4 * 4, dtype=np.float32),
         (4, 4),
     )
-    image_data.replace_empty_image(source, result_image)
+    result_image = image_data.replace_empty_image(source, result_image)
 
     assert shared.data == source_image
     assert source_image.alpha_mode == "STRAIGHT"
@@ -168,7 +168,7 @@ def test_image_edit_result_recovers_unshared_source_name():
         np.zeros(4 * 4 * 4, dtype=np.float32),
         (4, 4),
     )
-    image_data.replace_empty_image(source, result_image)
+    result_image = image_data.replace_empty_image(source, result_image)
 
     assert source.data == result_image
     assert result_image.name == "Poster.png"
@@ -208,7 +208,7 @@ def test_mask_frame_mask_add_preserves_packed_hidden_rgb():
         (descriptor,), ((0, 4), (4, 4), (4, 0), (0, 0)), (4, 4)
     )
     result = image_data.create_image_edit_result(source.data, framed, (4, 4))
-    image_data.replace_empty_image(source, result)
+    result = image_data.replace_empty_image(source, result)
     assert result.alpha_mode == "PREMUL"
     assert source.use_empty_image_alpha
     assert result.packed_file is not None
@@ -261,7 +261,7 @@ def test_frame_restored_alpha_keeps_foreground_blended_into_white():
         sources, ((0, 4 / 3), (6, 4 / 3), (6, 2 / 3), (0, 2 / 3)), (6, 2)
     )
     result = image_data.create_image_edit_result(front["object"].data, pixels, (6, 2))
-    image_data.replace_empty_image(front["object"], result)
+    result = image_data.replace_empty_image(front["object"], result)
     encoded = np.asarray(Image.open(BytesIO(result.packed_file.data)).convert("RGBA")) / 255
     np.testing.assert_allclose(encoded[..., :3], expected, atol=1 / 255)
     np.testing.assert_allclose(encoded[..., 3:4], source_alpha, atol=1 / 255)
@@ -437,7 +437,11 @@ def test_cutout_axes_produce_the_same_world_geometry(shape):
 
     expected = np.asarray(sorted(map(tuple, world_positions(positive_x))))
     actual = np.asarray(sorted(map(tuple, world_positions(negative_z))))
-    assert np.allclose(actual, expected, atol=2e-6)
+    from scipy.optimize import linear_sum_assignment
+
+    distances = np.linalg.norm(actual[:, None] - expected[None], axis=2)
+    rows, columns = linear_sum_assignment(distances)
+    assert distances[rows, columns].max() < 2e-6
     assert np.allclose(negative_z.matrix_world, source.matrix_world)
 
 
@@ -2100,7 +2104,9 @@ def test_cutout_content_merge_keeps_the_geometric_selection_unchanged():
     original = selection.copy()
     alpha = np.asarray(((1.0, 0.5), (0.0, 0.25)), dtype=np.float32)
 
-    content = cutout_main._cutout_content_values(alpha, selection)
+    content = cutout_main._cutout_content_values(
+        alpha, selection, alpha_threshold=0.5
+    )
 
     np.testing.assert_array_equal(selection, original)
     np.testing.assert_allclose(content, alpha * original)
@@ -2140,6 +2146,7 @@ def test_local_cutout_builds_from_blender_image_pixels_without_a_job():
         content_values = cutout_main._cutout_content_values(
             rgba[top:bottom, left:right, 3],
             selection_mask.values,
+            alpha_threshold=0.5,
         )
         color_image = cutout_object.create_cropped_color_image(
             source,
@@ -2153,6 +2160,7 @@ def test_local_cutout_builds_from_blender_image_pixels_without_a_job():
             16,
             content_values,
             selection_mask.bounds,
+            alpha_threshold=0.5,
             color_image=color_image,
         )