precommit

spras/analysis/ml.py

@@ -81,7 +81,7 @@ def summarize_networks(file_paths: Iterable[Union[str, PathLike]]) -> pd.DataFra
     concated_df = pd.concat(edge_dataframes, axis=1, join='outer')
     concated_df = concated_df.fillna(0)
     concated_df = concated_df.astype('int64')
-    
+
     # don't do ml post processing if there is an empty dataframe
     if concated_df.empty:
         raise ValueError("The summarize network dataFrame is empty.\nEnsure that the output files and configuration parameters are correct and non-empty to produce a non-empty dataframe for ml post processing.")