Enhance image editing tests and functionality

- Added parameterized tests for image edit replacement to ensure alpha mode preservation.
- Refactored existing tests to utilize new image editing methods and improve clarity.
- Introduced new tests for image target functionality, ensuring proper handling of shared textures and context.
- Updated various tests to validate alpha mode handling across different scenarios.
- Improved undo/redo functionality in image operators to maintain state consistency.
- Added support for texture node actions, enhancing integration with Blender's node system.
- Ensured that image properties are preserved during operations and that invalid contexts are handled gracefully.

tests/anyimage/operators/test_mask_undo.py

@@ -9,8 +9,10 @@ from anyimage.operators import mask_tool as mask
 
 
 @pytest.mark.parametrize("gesture", ["LASSO", "BRUSH", "POLYLINE"])
-def test_mask_commit_is_one_undo_transaction(gesture):
+@pytest.mark.parametrize("alpha_mode", ["STRAIGHT", "PREMUL"])
+def test_mask_commit_is_one_undo_transaction(gesture, alpha_mode):
     source = bpy.data.images.new("Undo source", width=8, height=8, alpha=True)
+    source.alpha_mode = alpha_mode
     source.pixels.foreach_set(np.ones(8 * 8 * 4, dtype=np.float32))
     source.pack()
     owner = bpy.data.objects.new("Mask undo owner", None)
@@ -47,11 +49,12 @@ def test_mask_commit_is_one_undo_transaction(gesture):
             assert bpy.ops.anyimage.edit_image_alpha("EXEC_DEFAULT", True) == {"FINISHED"}
             create.assert_called_once()
             result = bpy.data.objects[owner_name].data
-            assert result.packed_file is not None and result.alpha_mode == "PREMUL"
+            assert result.packed_file is not None and result.alpha_mode == alpha_mode
             assert bpy.data.objects[shared_name].data.name == source_name
             np.testing.assert_array_equal(image.image_pixels(bpy.data.images[source_name]), before)
             assert bpy.ops.ed.undo() == {"FINISHED"}
             assert bpy.data.objects[owner_name].data.name == source_name
+            assert bpy.data.objects[owner_name].data.alpha_mode == alpha_mode
             np.testing.assert_array_equal(image.image_pixels(bpy.data.objects[owner_name].data), before)
         finally:
             bpy.utils.unregister_class(mask.EditImageAlpha)