fix: lint

Author: morgandu

google/cloud/aiplatform/datasets/_datasources.py

@@ -202,7 +202,7 @@ def create_datasource(
 
     if metadata_schema_uri == schema.dataset.metadata.tabular:
         if import_schema_uri:
-            raise ValueError(f"tabular dataset does not support data import.")
+            raise ValueError("tabular dataset does not support data import.")
         return TabularDatasource(gcs_source, bq_source)
 
     if not import_schema_uri and not gcs_source:
@@ -213,5 +213,5 @@ def create_datasource(
         )
     else:
         raise ValueError(
-            f"nontabular dataset requires both import_schema_uri and gcs_source for data import."
+            "nontabular dataset requires both import_schema_uri and gcs_source for data import."
         )

google/cloud/aiplatform/datasets/dataset.py

@@ -22,7 +22,6 @@
 
 from google.cloud.aiplatform import base
 from google.cloud.aiplatform import initializer
-from google.cloud.aiplatform import schema
 from google.cloud.aiplatform import utils
 
 from google.cloud.aiplatform.datasets import _datasources

google/cloud/aiplatform/datasets/tabular_dataset.py

@@ -15,7 +15,7 @@
 # limitations under the License.
 #
 
-from typing import Optional, Sequence, Dict, Tuple, Union
+from typing import Optional, Sequence, Tuple, Union
 
 from google.auth import credentials as auth_credentials