spaces after multi line pydocs

Signed-off-by: varun-edachali-dbx <varun.edachali@databricks.com>

Author: varun-edachali-dbx

src/databricks/sql/result_set.py

@@ -181,6 +181,7 @@ def __init__(
             :param ssl_options: SSL options for cloud fetch
             :param is_direct_results: Whether there are more rows to fetch
         """
+
         # Initialize ThriftResultSet-specific attributes
         self._use_cloud_fetch = use_cloud_fetch
         self.is_direct_results = is_direct_results
@@ -325,6 +326,7 @@ def fetchmany_arrow(self, size: int) -> "pyarrow.Table":
 
         An empty sequence is returned when no more rows are available.
         """
+
         if size < 0:
             raise ValueError("size argument for fetchmany is %s but must be >= 0", size)
         results = self.results.next_n_rows(size)
@@ -349,6 +351,7 @@ def fetchmany_columnar(self, size: int):
         Fetch the next set of rows of a query result, returning a Columnar Table.
         An empty sequence is returned when no more rows are available.
         """
+
         if size < 0:
             raise ValueError("size argument for fetchmany is %s but must be >= 0", size)
 
@@ -413,6 +416,7 @@ def fetchone(self) -> Optional[Row]:
         Fetch the next row of a query result set, returning a single sequence,
         or None when no more data is available.
         """
+
         if isinstance(self.results, ColumnQueue):
             res = self._convert_columnar_table(self.fetchmany_columnar(1))
         else:
@@ -427,6 +431,7 @@ def fetchall(self) -> List[Row]:
         """
         Fetch all (remaining) rows of a query result, returning them as a list of rows.
         """
+
         if isinstance(self.results, ColumnQueue):
             return self._convert_columnar_table(self.fetchall_columnar())
         else:
@@ -438,6 +443,7 @@ def fetchmany(self, size: int) -> List[Row]:
 
         An empty sequence is returned when no more rows are available.
         """
+
         if isinstance(self.results, ColumnQueue):
             return self._convert_columnar_table(self.fetchmany_columnar(size))
         else: