docs: def return_feature_list_numpy_base(dbpath, set_object):
      """
      Generic function which returns a list of tuples containing, each containing the name of the feature
      and the length of the corresponding 1d numpy array of the feature (or length of the list)
  
      Parameters
      ----------
      dbpath : string, path to SQLite database file
      set_object : object (either TestSet or TrainSet) which is stored in the database
  
      Returns
      -------
      return_list : list of tuples containing the name of the feature and the length of the corresponding list or
      1d numpy array
      """
      engine = create_engine('sqlite:////' + dbpath)
      session_cl = sessionmaker(bind=engine)
      session = session_cl()
      return_list = []
      tmp_object = session.query(set_object).get(1)
      for feature in tmp_object.features:
          if type(tmp_object.features[feature]) is np.ndarray:
              flength = tmp_object.features[feature].shape[0]
          else:
              flength = 1
          return_list.append((feature, flength))
      session.close()
      return return_list