fix(fusion): drop unused protected_namespaces; pin tighter bound tests

src/fusion/types.py

@@ -3,7 +3,7 @@ from __future__ import annotations
 
 from typing import Annotated
 
-from pydantic import BaseModel, ConfigDict, Field
+from pydantic import BaseModel, Field
 
 
 class ModalityClassProb(BaseModel):
@@ -13,7 +13,6 @@ class ModalityClassProb(BaseModel):
 
 class ModalityPrediction(BaseModel):
     """One modality's classifier output (MRI or EEG)."""
-    model_config = ConfigDict(protected_namespaces=())
 
     label_text: str
     label: int = Field(..., ge=0)

tests/fusion/test_types.py

@@ -30,6 +30,20 @@ class TestModalityPrediction:
         with pytest.raises(ValidationError):
             ModalityPrediction(label_text="x", label=0, confidence=0.5, probabilities=[])
 
+    def test_rejects_probability_above_one(self) -> None:
+        with pytest.raises(ValidationError):
+            ModalityPrediction(
+                label_text="x", label=0, confidence=0.5,
+                probabilities=[{"label_text": "x", "probability": 1.5}],
+            )
+
+    def test_rejects_negative_label(self) -> None:
+        with pytest.raises(ValidationError):
+            ModalityPrediction(
+                label_text="x", label=-1, confidence=0.5,
+                probabilities=[{"label_text": "x", "probability": 0.5}],
+            )
+
 
 class TestClinicalScores:
     def test_all_optional(self) -> None:
@@ -40,6 +54,14 @@ class TestClinicalScores:
         with pytest.raises(ValidationError):
             ClinicalScores(mmse=42.0)
 
+    def test_rejects_negative_mmse(self) -> None:
+        with pytest.raises(ValidationError):
+            ClinicalScores(mmse=-1.0)
+
+    def test_rejects_out_of_range_updrs(self) -> None:
+        with pytest.raises(ValidationError):
+            ClinicalScores(updrs=200.0)
+
 
 class TestFusionInputOutput:
     def test_fusion_input_allows_no_modalities(self) -> None: