code: def check_config(self):
          
          cfg_error_msg = (
              "PYMAGICC is not the only tuning model that will be used by "
              "`MAGCFG_USER.CFG`: your run is likely to fail/do odd things"
          )
          emisscen_error_msg = (
              "You have more than one `FILE_EMISSCEN_X` flag set. Using more than "
              "one emissions scenario is hard to debug and unnecessary with "
              "Pymagicc's dataframe scenario input. Please combine all your "
              "scenarios into one dataframe with Pymagicc and pandas, then feed "
              "this single Dataframe into Pymagicc's run API."
          )
  
          nml_to_check = "nml_allcfgs"
          usr_cfg = read_cfg_file(join(self.run_dir, "MAGCFG_USER.CFG"))
          for k in usr_cfg[nml_to_check]:
              if k.startswith("file_tuningmodel"):
                  first_tuningmodel = k in ["file_tuningmodel", "file_tuningmodel_1"]
                  if first_tuningmodel:
                      if usr_cfg[nml_to_check][k] != "PYMAGICC":
                          raise ValueError(cfg_error_msg)
                  elif usr_cfg[nml_to_check][k] not in ["USER", ""]:
                      raise ValueError(cfg_error_msg)
  
              elif k.startswith("file_emisscen_"):
                  if usr_cfg[nml_to_check][k] not in ["NONE", ""]:
                      raise ValueError(emisscen_error_msg)
docs: Check that our MAGICC ``.CFG`` files are set to safely work with PYMAGICC
  
          For further detail about why this is required, please see :ref:`MAGICC flags`.
  
          Raises
          ------
          ValueError
              If we are not certain that the config written by PYMAGICC will overwrite
              all other config i.e. that there will be no unexpected behaviour. A
              ValueError will also be raised if the user tries to use more than one
              scenario file.