original_docstring: 
      Rename the csvs saved by the chemprop split function to distinguish
      between what is just SMILES and what is SMILES + properties.
      Args:
        csv_folder (str): path to the folder in which we will save oru
          csv files with the SMILES, properties and training splits.
      Returns:
        None
  
      
docstring: Rename the csvs saved by the chemprop split function to distinguish
  between what is just SMILES and what is SMILES + properties.
docstring_tokens: Rename the csvs saved by the chemprop split function to distinguish between what is just SMILES and what is SMILES + properties .
code: def rename_csvs(csv_folder):
      """
      Rename the csvs saved by the chemprop split function to distinguish
      between what is just SMILES and what is SMILES + properties.
      Args:
        csv_folder (str): path to the folder in which we will save oru
          csv files with the SMILES, properties and training splits.
      Returns:
        None
  
      """
      for name in ['train', 'val', 'test']:
          path = os.path.join(csv_folder, name + '.csv')
          # "train_full.csv", "val_full.csv", etc.
          new_path = os.path.join(csv_folder, name + "_full.csv")
          shutil.move(path, new_path)
code_tokens: def rename_csvs ( csv_folder ) : for name in [ 'train' , 'val' , 'test' ] : path = os . path . join ( csv_folder , name + '.csv' ) new_path = os . path . join ( csv_folder , name + "_full.csv" ) shutil . move ( path , new_path )
short_docstring: Rename the csvs saved by the chemprop split function to distinguish
  between what is just SMILES and what is SMILES + properties.
short_docstring_tokens: Rename the csvs saved by the chemprop split function to distinguish between what is just SMILES and what is SMILES + properties .
comment: """
      Rename the csvs saved by the chemprop split function to distinguish
      between what is just SMILES and what is SMILES + properties.
      Args:
        csv_folder (str): path to the folder in which we will save oru
          csv files with the SMILES, properties and training splits.
      Returns:
        None
  
      """$SEP$# "train_full.csv", "val_full.csv", etc.