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ludwig/data/postprocessing.py

@@ -14,15 +14,15 @@
 # limitations under the License.
 # ==============================================================================
 import os
-from typing import Any, Dict, List, Union, Optional
+from typing import Any, Dict, List, Optional, Union
 
 import numpy as np
 import pandas as pd
 import torch
 
 from ludwig.backend import LOCAL_BACKEND
 from ludwig.utils.data_utils import DATAFRAME_FORMATS, DICT_FORMATS
-from ludwig.utils.dataframe_utils import to_numpy_dataset, is_dask_backend
+from ludwig.utils.dataframe_utils import is_dask_backend, to_numpy_dataset
 from ludwig.utils.misc_utils import get_from_registry
 from ludwig.utils.strings_utils import make_safe_filename
 
@@ -105,11 +105,7 @@ def convert_dict_to_df(predictions: Dict[str, Dict[str, Union[List[Any], torch.T
 
 def convert_predictions(predictions, output_features, return_type="dict", backend: Optional["Backend"] = None):
     convert_fn = get_from_registry(return_type, conversion_registry)
-    return convert_fn(
-        predictions,
-        output_features,
-        backend
-    )
+    return convert_fn(predictions, output_features, backend)
 
 
 def convert_to_dict(