Addressed comments

Signed-off-by: Santiago Figueroa Manrique <santiago.figueroa.manrique@alliander.com>

src/power_grid_model/_utils.py

@@ -310,7 +310,7 @@ def compatibility_convert_row_columnar_dataset(
     """Temporary function to transform row, column or mixed based datasets to a full row or column based dataset as per
     the data_filter. The purpose of this function is to mimic columnar data and transform back to row data without any
     memory footprint benefits.
-    Note: Copies are made in a per-component basis; if a component is row based in both the input and the requested
+    Note: Copies are made on a per-component basis; if a component is row based in both the input and the requested
     output, that componened is returned without a copy.
 
     Args:

src/power_grid_model/validation/validation.py

@@ -136,7 +136,8 @@ def validate_batch_data(
     input_errors: list[ValidationError] = list(validate_unique_ids_across_components(input_data))
 
     # Convert to row based if in columnar format
-    # TODO(figueroa1395): transform to columnar per single batch once the columnar dataset python extension is finished
+    # TODO(figueroa1395): transform to columnar per single batch scenario once the columnar dataset python extension
+    # is finished
     row_update_data = compatibility_convert_row_columnar_dataset(update_data, None, DatasetType.update)
 
     # Splitting update_data_into_batches may raise TypeErrors and ValueErrors

tests/unit/validation/test_batch_validation.py

@@ -56,7 +56,7 @@ def original_batch_data() -> dict[str, np.ndarray]:
 
 @pytest.fixture
 def original_batch_data_columnar(original_batch_data):
-    return compatibility_convert_row_columnar_dataset(original_batch_data, ..., DatasetType.update)
+    return compatibility_convert_row_columnar_dataset(original_batch_data, Ellipsis, DatasetType.update)
 
 
 @pytest.fixture(params=["original_batch_data", "original_batch_data_columnar"])

tests/unit/validation/test_input_validation.py

@@ -277,7 +277,7 @@ def original_data() -> dict[ComponentType, np.ndarray]:
 
 @pytest.fixture
 def original_data_columnar(original_data):
-    return compatibility_convert_row_columnar_dataset(original_data, ..., DatasetType.input)
+    return compatibility_convert_row_columnar_dataset(original_data, Ellipsis, DatasetType.input)
 
 
 @pytest.fixture(params=["original_data", "original_data_columnar"])