docs: def extract_feature_dependent_feature(self, extractor, force_extraction=False, verbose=0, add_args=None,
                                            custom_name=None):
          """
          Extracts a feature which may be dependent on other features and stores it in the database
  
          Parameters
          ----------
          extractor : function, which takes the path of a data point, a dictionary of all other features and *args as
          parameters and returns a feature
          force_extraction : boolean, if True - will re-extract feature even if a feature with this name already
          exists in the database, otherwise, will only extract if the feature doesn't exist in the database.
          default value: False
          verbose : int, if bigger than 0, will print the current number of the file for which data is being extracted
          add_args : optional arguments for the extractor (list/dictionary/tuple/whatever). if None, the
          extractor should take only one input argument - the file path. default value: None
          custom_name : string, optional name for the feature (it will be stored in the database with the custom_name
          instead of extractor function name). if None, the extractor function name will be used. default value: None
  
          Returns
          -------
          None
          """
          if self._prepopulated is False:
              raise errors.EmptyDatabase(self.dbpath)
          else:
              return extract_feature_dependent_feature_base(self.dbpath, self.path_to_set, self._set_object, extractor,
                                                            force_extraction, verbose, add_args, custom_name)