code: def diagnose_tcr_ecs(self, **kwargs):
          
          if self.version == 7:
              raise NotImplementedError("MAGICC7 cannot yet diagnose ECS and TCR")
          self._diagnose_tcr_ecs_config_setup(**kwargs)
          timeseries = self.run(
              scenario=None,
              only=[
                  "Atmospheric Concentrations|CO2",
                  "Radiative Forcing",
                  "Surface Temperature",
              ],
          )
          tcr, ecs = self._get_tcr_ecs_from_diagnosis_results(timeseries)
          return {"tcr": tcr, "ecs": ecs, "timeseries": timeseries}
docs: Diagnose TCR and ECS
  
          The transient climate response (TCR), is the global-mean temperature response
          at time at which atmopsheric |CO2| concentrations double in a scenario where
          atmospheric |CO2| concentrations are increased at 1% per year from
          pre-industrial levels.
  
          The equilibrium climate sensitivity (ECS), is the equilibrium global-mean
          temperature response to an instantaneous doubling of atmospheric |CO2|
          concentrations.
  
          As MAGICC has no hysteresis in its equilibrium response to radiative forcing,
          we can diagnose TCR and ECS with one experiment. However, please note that
          sometimes the run length won't be long enough to allow MAGICC's oceans to
          fully equilibrate and hence the ECS value might not be what you expect (it
          should match the value of ``core_climatesensitivity``).
  
          Parameters
          ----------
          **kwargs
              parameter values to use in the diagnosis e.g. ``core_climatesensitivity=4``
  
          Returns
          -------
          dict
              Dictionary with keys: "ecs" - the diagnosed ECS; "tcr" - the diagnosed
              TCR; "timeseries" - the relevant model input and output timeseries used in
              the experiment i.e. atmospheric |CO2| concentrations, total radiative
              forcing and global-mean surface temperature