Enhance device management and model handling in SnapForm

- Updated frame extraction logic to allow for single frame extraction.
- Integrated model readiness checks for BEN2 and DA3 models in relevant operators.
- Added directory name attribute to model specifications for better organization.
- Improved device selection logic for production and debug tasks.
- Refactored preferences to expose device settings and ensure they reflect available hardware.
- Enhanced runtime device detection and management, including support for CUDA and MPS.
- Updated tests to cover new device management features and model directory handling.
- Removed deprecated download model tests to streamline codebase.

tests/test_worker.py

@@ -385,79 +385,6 @@ class WorkerTest(unittest.TestCase):
             with self.assertRaisesRegex(RuntimeError, "Unsupported input type"):
                 self.worker.prepare_input(input_path, 16, directory)
 
-    def test_download_passes_optional_file_patterns(self):
-        calls = []
-        fake_hugging_face = ModuleType("huggingface_hub")
-        fake_hugging_face.snapshot_download = lambda **options: calls.append(
-            options
-        )
-        args = SimpleNamespace(
-            repository="PramaLLC/BEN2",
-            model_dir="model",
-            status="status.json",
-            allow_pattern=["config.json", "model.safetensors"],
-        )
-
-        with tempfile.TemporaryDirectory() as directory, patch.dict(
-            sys.modules,
-            {"huggingface_hub": fake_hugging_face},
-        ), patch.object(
-            self.worker,
-            "create_download_progress_class",
-            return_value=object,
-        ):
-            args.model_dir = str(Path(directory) / "model")
-            args.status = str(Path(directory) / "status.json")
-            self.worker.download_model(args)
-
-        self.assertEqual(
-            calls[0]["allow_patterns"],
-            ["config.json", "model.safetensors"],
-        )
-        self.assertEqual(calls[0]["endpoint"], self.worker.HF_ENDPOINT)
-
-    def test_download_model_falls_back_to_modelscope_when_direct_fails(self):
-        calls = []
-        fake_hugging_face = ModuleType("huggingface_hub")
-
-        def fake_snapshot_download(**options):
-            calls.append(options)
-            raise OSError("Connection reset by peer")
-
-        fake_hugging_face.snapshot_download = fake_snapshot_download
-        args = SimpleNamespace(
-            repository="PramaLLC/BEN2",
-            model_dir="model",
-            status="status.json",
-            allow_pattern=[],
-        )
-
-        with tempfile.TemporaryDirectory() as directory, patch.dict(
-            sys.modules,
-            {"huggingface_hub": fake_hugging_face},
-        ), patch.object(
-            self.worker,
-            "create_download_progress_class",
-            return_value=object,
-        ), patch.dict(os.environ, {"HF_ENDPOINT": ""}), patch.object(
-            self.worker,
-            "download_from_modelscope",
-        ) as mocked_modelscope:
-            def fake_download_from_modelscope(*args, **kwargs):
-                model_dir = Path(args[1])
-                model_dir.mkdir(parents=True, exist_ok=True)
-                (model_dir / "config.json").write_text("{}")
-                (model_dir / "model.safetensors").write_bytes(b"x")
-
-            mocked_modelscope.side_effect = fake_download_from_modelscope
-            args.model_dir = str(Path(directory) / "model")
-            args.status = str(Path(directory) / "status.json")
-            self.worker.download_model(args)
-
-        self.assertEqual(len(calls), 1)
-        self.assertEqual(calls[0]["endpoint"], self.worker.HF_ENDPOINT)
-        self.assertEqual(mocked_modelscope.call_count, 1)
-
     def test_download_model_skips_unreachable_endpoint(self):
         calls = []
         fake_hugging_face = ModuleType("huggingface_hub")