Add tests for image layer, image plane, inventory, saved layout, commands, documentation, manifest, and packaging

- Implement tests for image layer functionality including alpha curve and depth layer behavior.
- Create tests for image plane evaluation and modifier input handling.
- Add tests to verify the saved asset inventory and its persistence.
- Introduce tests for the documentation command to ensure correct project version deployment.
- Validate the extension manifest structure and required permissions.
- Develop tests for the packaging process, ensuring correct platform handling and dependency management.
- Enhance image depth plane group functionality with new split threshold input and surface processing.

tests/anyimage/server/test_model_upscale_onnx.py

@@ -0,0 +1,166 @@
+import unittest
+from types import SimpleNamespace
+from unittest.mock import patch
+import numpy as np
+from PIL import Image
+
+
+from server.models import onnx_upscale
+
+
+class FakeSession:
+    def get_providers(self):
+        return ["CPUExecutionProvider"]
+
+    def get_inputs(self):
+        return [SimpleNamespace(name="input")]
+
+    def get_outputs(self):
+        return [SimpleNamespace(name="output")]
+
+    def run(self, output_names, feeds):
+        self.output_names = output_names
+        self.feeds = feeds
+        source = feeds["input"]
+        return [np.repeat(np.repeat(source, 4, axis=2), 4, axis=3)]
+
+
+class UpscaleOnnxTest(unittest.TestCase):
+    def test_preprocess_matches_dynamic_rgb_layout(self):
+        image = Image.new("RGB", (7, 5), (64, 128, 192))
+
+        result = onnx_upscale.preprocess(image)
+
+        self.assertEqual(result.shape, (1, 3, 5, 7))
+        self.assertEqual(result.dtype, np.float32)
+        self.assertTrue(result.flags.c_contiguous)
+        np.testing.assert_allclose(
+            result[0, :, 0, 0],
+            np.array((64, 128, 192), dtype=np.float32) / 255.0,
+        )
+
+    def test_infer_returns_direct_four_x_rgb_prediction(self):
+        session = FakeSession()
+        image = Image.new("RGB", (7, 5), (10, 20, 30))
+
+        result = onnx_upscale.infer(session, image)
+
+        self.assertEqual(result.mode, "RGB")
+        self.assertEqual(result.size, (28, 20))
+        self.assertEqual(session.output_names, ["output"])
+        self.assertEqual(session.feeds["input"].shape, (1, 3, 256, 256))
+        self.assertEqual(result.getpixel((0, 0)), (10, 20, 30))
+
+    def test_infer_returns_raw_rgb_for_rgba_input(self):
+        session = FakeSession()
+        pixels = np.zeros((5, 7, 4), dtype=np.uint8)
+        pixels[..., :3] = (10, 20, 30)
+        pixels[..., 3] = np.arange(7, dtype=np.uint8) * 40
+        image = Image.fromarray(pixels, mode="RGBA")
+
+        result = onnx_upscale.infer(session, image)
+
+        self.assertEqual(result.mode, "RGB")
+        self.assertEqual(result.size, (28, 20))
+        self.assertEqual(result.getpixel((0, 0)), (10, 20, 30))
+
+    def test_tiles_use_reflected_context_at_outer_image_edges(self):
+        class RecordingSession(FakeSession):
+            def run(self, output_names, feeds):
+                self.input = feeds["input"].copy()
+                return super().run(output_names, feeds)
+
+        pixels = np.zeros((5, 7, 3), dtype=np.uint8)
+        pixels[..., 0] = np.arange(7, dtype=np.uint8) * 20
+        session = RecordingSession()
+
+        onnx_upscale.infer(
+            session,
+            Image.fromarray(pixels, mode="RGB"),
+        )
+
+        red = session.input[0, 0]
+        self.assertAlmostEqual(red[16, 22], 120 / 255.0)
+        self.assertAlmostEqual(red[16, 23], 100 / 255.0)
+
+    def test_infer_rejects_non_four_x_output(self):
+        class InvalidSession(FakeSession):
+            def run(self, _output_names, feeds):
+                return [feeds["input"]]
+
+        with self.assertRaisesRegex(RuntimeError, "unexpected output shape"):
+            onnx_upscale.infer(
+                InvalidSession(),
+                Image.new("RGB", (7, 5)),
+            )
+
+    def test_all_models_split_large_inputs_into_fixed_tiles(self):
+        class CountingSession(FakeSession):
+            def __init__(self):
+                self.calls = 0
+
+            def run(self, output_names, feeds):
+                self.calls += 1
+                return super().run(output_names, feeds)
+
+        session = CountingSession()
+        result = onnx_upscale.infer(
+            session,
+            Image.new("RGB", (449, 225), (1, 2, 3)),
+        )
+
+        self.assertEqual(result.size, (1796, 900))
+        self.assertEqual(session.calls, 6)
+        self.assertEqual(session.feeds["input"].shape, (1, 3, 256, 256))
+
+    def test_only_final_tile_releases_memory(self):
+        releases = []
+        session = FakeSession()
+
+        def run(model, output_names, feeds, *, release_memory):
+            releases.append(release_memory)
+            return model.run(output_names, feeds)
+
+        with patch.object(onnx_upscale, "run_session", side_effect=run):
+            result = onnx_upscale.infer(
+                session,
+                Image.new("RGB", (449, 225), (1, 2, 3)),
+            )
+
+        self.assertEqual(result.size, (1796, 900))
+        self.assertEqual(releases, [False, False, False, False, False, True])
+
+    def test_non_final_image_does_not_release_its_final_tile(self):
+        releases = []
+        session = FakeSession()
+
+        def run(model, output_names, feeds, *, release_memory):
+            releases.append(release_memory)
+            return model.run(output_names, feeds)
+
+        with patch.object(onnx_upscale, "run_session", side_effect=run):
+            onnx_upscale.infer(
+                session,
+                Image.new("RGB", (449, 225), (1, 2, 3)),
+                release_memory=False,
+            )
+
+        self.assertEqual(releases, [False] * 6)
+
+    def test_provider_unicode_error_is_presented_as_resource_error(self):
+        class InvalidProviderSession(FakeSession):
+            def run(self, _output_names, _feeds):
+                raise UnicodeDecodeError("utf-8", b"\xc4", 0, 1, "invalid")
+
+        with self.assertRaisesRegex(
+            onnx_upscale.UpscaleResourceError,
+            "provider failed",
+        ):
+            onnx_upscale.infer(
+                InvalidProviderSession(),
+                Image.new("RGB", (7, 5)),
+            )
+
+
+if __name__ == "__main__":
+    unittest.main()