fixed lint issues

Signed-off-by: Minura Punchihewa <[email protected]>

kedro-datasets/kedro_datasets_experimental/databricks/external_table_dataset.py

@@ -8,10 +8,7 @@
 from typing import Any
 
 import pandas as pd
-import pandas as pd
-from kedro.io.core import (
-    DatasetError
-)
+from kedro.io.core import DatasetError
 from pyspark.sql import DataFrame
 
 from kedro_datasets.databricks._base_table_dataset import BaseTable, BaseTableDataset
@@ -26,7 +23,7 @@ class ExternalTable(BaseTable):
 
     def _validate_location(self) -> None:
         """Validates that a location is provided if the table does not exist.
-        
+
         Raises:
             DatasetError: If the table does not exist and no location is provided.
         """
@@ -35,10 +32,10 @@ def _validate_location(self) -> None:
                 "If the external table does not exists, the `location` parameter must be provided. "
                 "This should be valid path in an external location that has already been created."
             )
-        
+
     def _validate_write_mode(self) -> None:
         """Validates that the write mode is compatible with the format.
-        
+
         Raises:
             DatasetError: If the write mode is not compatible with the format.
         """
@@ -49,7 +46,7 @@ def _validate_write_mode(self) -> None:
                 f"Format '{self.format}' is not supported for upserts. "
                 f"Please use 'delta' format."
             )
-        
+
         if self.write_mode == "overwrite" and self.format != "delta" and not self.location:
             raise DatasetError(
                 f"Format '{self.format}' is supported for overwrites only if the location is provided. "
@@ -150,7 +147,7 @@ def _create_table(  # noqa: PLR0913
             primary_key=primary_key,
             format=format
         )
-    
+
     def _save_overwrite(self, data: DataFrame) -> None:
         """Overwrites the data in the table with the data provided.
         Args:
@@ -159,7 +156,7 @@ def _save_overwrite(self, data: DataFrame) -> None:
         writer = data.write.format(self._table.format).mode("overwrite").option(
             "overwriteSchema", "true"
         )
-        
+
         if self._table.partition_columns:
             writer.partitionBy(
                 *self._table.partition_columns if isinstance(self._table.partition_columns, list) else self._table.partition_columns