code: def _get_exog_re_names(self, exog_re):
      """
      Passes through if given a list of names. Otherwise, gets pandas names
      or creates some generic variable names as needed.
      """
      if self.k_re == 0:
          return []
      if isinstance(exog_re, pd.DataFrame):
          return exog_re.columns.tolist()
      elif isinstance(exog_re, pd.Series) and exog_re.name is not None:
          return [exog_re.name]
      elif isinstance(exog_re, list):
          return exog_re
  
      # Default names
      defnames = [f"x_re{k + 1:1d}" for k in range(exog_re.shape[1])]
      return defnames
  
imports: import warnings
  import numpy
  import pandas
  import patsy
  from scipy import sparse
  from scipy.stats.distributions import norm
  from statsmodels.base._penalties import Penalty
  import statsmodels.base.model
  from statsmodels.tools import data
  from statsmodels.tools.decorators import cache_readonly
  from statsmodels.tools.sm_exceptions import ConvergenceWarning
label_desc: Use image node_id 4 for calling a global function with example usage: _get_exog_re_names(exog_re) and returns: defnames, list, exog_re, list, exog_re