code: def run_trial(self, trial_id=0):
          
          # Set-up trial environment and graph
          self.env = NetworkEnvironment(self.G.copy(), initial_time=0, **self.environment_params)
          # self.G = self.initial_topology.copy()
          # self.trial_params = deepcopy(self.global_params)
  
          # Set up agents on nodes
          print('Setting up agents...')
          self.setup_network_agents()
  
          # Set up environmental agent
          if self.environment_agent_type:
              env_agent = self.environment_agent_type(environment=self.env)
  
          # Set up logging
          logging_interval = self.logging_interval
          logger = BaseLoggingAgent(environment=self.env, dir_path=self.dir_path, logging_interval=logging_interval)
  
          # Run trial
          self.env.run(until=self.until)
  
          # Save output as pickled objects
          logger.save_trial_state_history(trial_id=trial_id)
docs: Run a single trial of the simulation
  
          Parameters
          ----------
          trial_id : int