code: def get_pastml_marginal_prob_file(method, model, column):
      
      if not is_marginal(method):
          return None
      column, method = get_column_method(column, method)
      return PASTML_MARGINAL_PROBS_TAB.format(state=column, model=model)
docs: Get the filename where the PastML marginal probabilities of node states are saved (will be None for non-marginal methods).
      This file is inside the work_dir that can be specified for the pastml_pipeline method.
  
      :param method: str, the ancestral state prediction method used by PASTML.
      :param model: str, the state evolution model used by PASTML.
      :param column: str, the column for which ancestral states are reconstructed with PASTML.
      :return: str, filename or None if the method is not marginal.