code: def get_feature_set_all():
      
  
      features = get_feature_set()
  
      features.append('cusum')
      features.append('eta')
      features.append('n_points')
      features.append('period_SNR')
      features.append('period_log10FAP')
      features.append('period_uncertainty')
      features.append('weighted_mean')
      features.append('weighted_std')
  
      features.sort()
  
      return features
docs: Return a list of entire features.
  
      A set of entire features regardless of being used to train a model or
      predict a class.
  
      Returns
      -------
      feature_names : list
          A list of features' names.