Fix deprecation warnings

Author: Val Brodsky

libs/labelbox/src/labelbox/data/annotation_types/geometry/mask.py

@@ -1,15 +1,13 @@
-from typing import Callable, Optional, Tuple, Union, Dict, List
+from typing import Callable, Dict, List, Optional, Tuple, Union
 
-import numpy as np
 import cv2
-
+import numpy as np
+from pydantic import field_validator
 from shapely.geometry import MultiPolygon, Polygon
 
 from ..data import MaskData
 from .geometry import Geometry
 
-from pydantic import field_validator
-
 
 class Mask(Geometry):
     """Mask used to represent a single class in a larger segmentation mask
@@ -91,7 +89,7 @@ def draw(
                 as opposed to the mask that this object references which might have multiple objects determined by colors
         """
         mask = self.mask.value
-        mask = np.alltrue(mask == self.color, axis=2).astype(np.uint8)
+        mask = np.all(mask == self.color, axis=2).astype(np.uint8)
 
         if height is not None or width is not None:
             mask = cv2.resize(

libs/labelbox/src/labelbox/schema/data_row_metadata.py

@@ -26,6 +26,7 @@
     conlist,
     model_serializer,
 )
+from typing_extensions import Annotated
 
 from labelbox.schema.identifiable import GlobalKey, UniqueId
 from labelbox.schema.identifiables import DataRowIdentifiers, UniqueIds
@@ -423,7 +424,7 @@ def update_enum_option(
         schema = self._validate_custom_schema_by_name(name)
         if schema.kind != DataRowMetadataKind.enum:
             raise ValueError(
-                f"Updating Enum option is only supported for Enum metadata schema"
+                "Updating Enum option is only supported for Enum metadata schema"
             )
         valid_options: List[str] = [o.name for o in schema.options]
 
@@ -757,10 +758,6 @@ def bulk_export(self, data_row_ids) -> List[DataRowMetadata]:
             and isinstance(data_row_ids[0], str)
         ):
             data_row_ids = UniqueIds(data_row_ids)
-            warnings.warn(
-                "Using data row ids will be deprecated. Please use "
-                "UniqueIds or GlobalKeys instead."
-            )
 
         def _bulk_export(
             _data_row_ids: DataRowIdentifiers,

libs/labelbox/src/labelbox/schema/project.py

@@ -1339,10 +1339,6 @@ def update_data_row_labeling_priority(
 
         if isinstance(data_rows, list):
             data_rows = UniqueIds(data_rows)
-            warnings.warn(
-                "Using data row ids will be deprecated. Please use "
-                "UniqueIds or GlobalKeys instead."
-            )
 
         method = "createQueuePriorityUpdateTask"
         priority_param = "priority"
@@ -1513,10 +1509,6 @@ def move_data_rows_to_task_queue(self, data_row_ids, task_queue_id: str):
         """
         if isinstance(data_row_ids, list):
             data_row_ids = UniqueIds(data_row_ids)
-            warnings.warn(
-                "Using data row ids will be deprecated. Please use "
-                "UniqueIds or GlobalKeys instead."
-            )
 
         method = "createBulkAddRowsToQueueTask"
         query_str = (

libs/labelbox/tests/data/test_data_row_metadata.py

@@ -61,7 +61,7 @@ def big_dataset(dataset: Dataset, image_url):
 
 def make_metadata(dr_id: str = None, gk: str = None) -> DataRowMetadata:
     msg = "A message"
-    time = datetime.utcnow()
+    time = datetime.now(timezone.utc),
 
     metadata = DataRowMetadata(
         global_key=gk,
@@ -124,7 +124,7 @@ def test_get_datarow_metadata_ontology(mdo):
         fields=[
             DataRowMetadataField(
                 schema_id=mdo.reserved_by_name["captureDateTime"].uid,
-                value=datetime.utcnow(),
+                value=datetime.now(timezone.utc),
             ),
             DataRowMetadataField(schema_id=split.parent, value=split.uid),
             DataRowMetadataField(