code: def _get_outlier_cols(confounds_columns):
      """Get outlier regressor column names.
  
      Parameters
      ----------
      confounds_columns : list
          List of confounds column names.
  
      Returns
      -------
      outlier_cols : list
          List of outlier regressor column names.
  
      confounds_cols : list
          List of confounds column names without outlier regressors.
      """
      outlier_cols = {
          col
          for col in confounds_columns
          if "motion_outlier" in col or "non_steady_state" in col
      }
      confounds_cols = set(confounds_columns) - outlier_cols
      return sorted(outlier_cols), sorted(confounds_cols)
  
imports: import numpy
  import pandas
label_desc: Use image node_id 3 for calling a global function with example usage: _get_outlier_cols(confounds_columns) and returns: sorted,  sorted