Add tests for clipboard image functionality and mesh plane asset creation

- Implemented a comprehensive test suite for the clipboard image module, covering various functionalities including operator registration, context handling, and image processing.
- Created a new mesh plane asset with customizable parameters and integrated it into the geometry node system.
- Developed a validation script to ensure the correct behavior of the mesh plane asset, including input handling and output verification.

tests/test_worker.py

@@ -506,6 +506,9 @@ class WorkerTest(unittest.TestCase):
             def putalpha(self, _alpha):
                 return None
 
+            def paste(self, *_args):
+                return None
+
             def save(self, path, **options):
                 save_options.append(options)
                 Path(path).touch()
@@ -540,7 +543,13 @@ class WorkerTest(unittest.TestCase):
             inference_options.append((image, {})) or FakeImage()
         )
         fake_pil = ModuleType("PIL")
-        fake_pil.Image = SimpleNamespace(open=lambda _path: FakeImage())
+        fake_pil.Image = SimpleNamespace(
+            open=lambda _path: FakeImage(),
+            new=lambda *_args, **_kwargs: FakeImage(),
+        )
+        fake_pil.ImageChops = SimpleNamespace(
+            multiply=lambda _source, _foreground: FakeImage()
+        )
 
         with tempfile.TemporaryDirectory() as directory, patch.dict(
             sys.modules,
@@ -571,6 +580,42 @@ class WorkerTest(unittest.TestCase):
         )
         self.assertIn("Background removed in", context.status["message"])
 
+    def test_ben2_preserves_input_alpha_and_hides_transparent_rgb(self):
+        from PIL import Image
+
+        onnx_ben2 = load_server_module("models.onnx_ben2")
+        source_pixels = np.asarray(
+            (((255, 0, 0, 0), (0, 255, 0, 128)),),
+            dtype=np.uint8,
+        )
+        model_result = Image.new("RGBA", (2, 1), (10, 20, 30, 128))
+        received = []
+
+        def infer(_model, image):
+            received.append(np.asarray(image.convert("RGB"), dtype=np.uint8))
+            return model_result
+
+        with tempfile.TemporaryDirectory() as directory:
+            input_path = Path(directory) / "input.png"
+            Image.fromarray(source_pixels, mode="RGBA").save(input_path)
+            with (
+                patch.object(onnx_ben2, "create_session", return_value=object()),
+                patch.object(onnx_ben2, "infer", side_effect=infer),
+            ):
+                result, _load_ms, _inference_ms = self.ben2.infer_foreground(
+                    input_path,
+                    "model",
+                    "cpu",
+                    preserve_input_alpha=True,
+                )
+
+        inference_pixels = received[0]
+        result_pixels = np.asarray(result.convert("RGBA"), dtype=np.uint8)
+        self.assertEqual(tuple(inference_pixels[0, 0]), (0, 0, 0))
+        self.assertEqual(tuple(inference_pixels[0, 1]), (0, 128, 0))
+        self.assertEqual(tuple(result_pixels[0, 0]), (255, 0, 0, 0))
+        self.assertEqual(tuple(result_pixels[0, 1]), (0, 255, 0, 64))
+
     def test_ben2_background_removal_processes_each_frame(self):
         inference_options = []
 
@@ -593,6 +638,9 @@ class WorkerTest(unittest.TestCase):
             def putalpha(self, _alpha):
                 return None
 
+            def paste(self, *_args):
+                return None
+
             def save(self, path, **options):
                 Path(path).touch()
 
@@ -624,7 +672,13 @@ class WorkerTest(unittest.TestCase):
             inference_options.append((image, {})) or FakeImage()
         )
         fake_pil = ModuleType("PIL")
-        fake_pil.Image = SimpleNamespace(open=lambda _path: FakeImage())
+        fake_pil.Image = SimpleNamespace(
+            open=lambda _path: FakeImage(),
+            new=lambda *_args, **_kwargs: FakeImage(),
+        )
+        fake_pil.ImageChops = SimpleNamespace(
+            multiply=lambda _source, _foreground: FakeImage()
+        )
 
         with tempfile.TemporaryDirectory() as directory, patch.dict(
             sys.modules,