Address typing errors

Author: fepegar

src/torchio/datasets/ct_rate.py

@@ -319,14 +319,14 @@ def _instantiate_image(self, image_row: pd.Series) -> ScalarImage:
             image_row: A pandas Series representing a row from the metadata DataFrame,
                 containing information about a single image.
         """
-        image_dict = image_row.to_dict()
-        filename = image_dict[self._FILENAME_KEY]
+        image_dict: dict[str, str | dict[str, str]] = image_row.to_dict()  # type: ignore[assignment]
+        filename: str = image_dict[self._FILENAME_KEY]  # type: ignore[assignment]
         relative_image_path = self._get_image_path(
             filename,
             load_fixed=self._load_fixed,
         )
         image_path = self._root_dir / relative_image_path
-        report_dict = self._extract_report_dict(image_dict)
+        report_dict = self._extract_report_dict(image_dict)  # type: ignore[arg-type]
         image_dict[self._report_key] = report_dict
         image = ScalarImage(image_path, verify_path=self._verify_paths, **image_dict)
         return image

src/torchio/datasets/ixi.py

@@ -107,7 +107,7 @@ def _check_exists(root, modalities):
         return exists
 
     @staticmethod
-    def _get_subjects_list(root, modalities):
+    def _get_subjects_list(root: Path, modalities: Sequence[str]) -> list[Subject]:
         # The number of files for each modality is not the same
         # E.g. 581 for T1, 578 for T2
         # Let's just use the first modality as reference for now
@@ -134,7 +134,7 @@ def _get_subjects_list(root, modalities):
                 skip_subject = False
             if skip_subject:
                 continue
-            subjects.append(Subject(**images_dict))
+            subjects.append(Subject(**images_dict))  # type: ignore[arg-type]
         return subjects
 
     def _download(self, root, modalities):