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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def experiments_predictions_update_state_success(self, experiment_id, run_id, result_file):
 """Update state of given prediction to success. Create a function data resource for the given result file and associate it with the model run. Parameters experiment_id : string Unique experiment identifier run_id : string Unique model run identifier result_file : string Path to model run result file Returns ------- ModelRunHandle Handle for updated model run or None is prediction is undefined """

        # Get prediction to ensure that it exists
        model_run = self.experiments_predictions_get(experiment_id, run_id)
        if model_run is None:
            return None
        # Create new resource for model run result
        funcdata = self.funcdata.create_object(result_file)
        # Update predition state
        return self.predictions.update_state(
            run_id,
            modelrun.ModelRunSuccess(funcdata.identifier)
        )