fix format

vision_datasets/image_classification/coco_manifest_adaptor.py

@@ -12,7 +12,7 @@ class MultiClassClassificationCocoManifestAdaptor(CocoManifestWithCategoriesAdap
 
     def process_label(self, image: ImageDataManifest, annotation, coco_manifest, label_id_to_pos):
         if len(image.labels) != 0:
-            raise ValueError(f"image with id {annotation['image_id']} will possess unexpected number of annotations {len(image.labels) + 1} for {DatasetTypes.IMAGE_CLASSIFICATION_MULTICLASS} dataset")
+            raise ValueError(f"image with id {annotation['image_id']} will possess unexpected number of annotations {len(image.labels) + 1} for {DatasetTypes.IMAGE_CLASSIFICATION_MULTICLASS} dataset.")
 
         label = ImageClassificationLabelManifest(label_id_to_pos[annotation['category_id']], additional_info=self._get_additional_info(annotation, {'id', 'image_id', 'category_id'}))
         image.labels.append(label)

vision_datasets/key_value_pair/manifest.py

@@ -1,4 +1,4 @@
-from typing import Dict, List, Optional
+from typing import Dict, List, Optional, Union
 from enum import Enum
 from ..common import MultiImageLabelManifest, DatasetManifestWithMultiImageLabel, DatasetTypes
 
@@ -44,7 +44,7 @@ class KeyValuePairFieldSchema:
     def __init__(self, type: str,
                  description: str = None,
                  examples: List[str] = None,
-                 classes: Dict[str | int | float, KeyValuePairClassSchema] = None,
+                 classes: Dict[Union[str, int, float], KeyValuePairClassSchema] = None,
                  items: 'KeyValuePairFieldSchema' = None,
                  properties: Dict[str, 'KeyValuePairFieldSchema'] = None,
                  includeGrounding: bool = False) -> None: