remove lint

data/check_pandas.py

@@ -8,6 +8,7 @@
 This script has a command line interface. You can run it using `python check_pandas <data_dir>`,
 where `<data_dir>` points to a nested set of directories with `data_clean.csv` files.
 """
+
 import os
 from glob import glob
 from pathlib import Path

data/postprocess_split.py

@@ -7,6 +7,7 @@
 
 An independent check (that does not rewrite files is `check_smiles_split.py` this checks also for compliance with the predetermined files)
 """
+
 import os
 from glob import glob
 from pathlib import Path
@@ -185,7 +186,7 @@ def process_file(file: Union[str, Path], id_cols):
                 len(this_test_smiles.intersection(this_val_smiles)) == 0
             ), f"Smiles in test and valid for {id}"
 
-        df.to_csv(os.path.join(dir,"data_clean.csv"), index=False)
+        df.to_csv(os.path.join(dir, "data_clean.csv"), index=False)
 
 
 def process_all_files(data_dir):