code: def simBirth(self,which_agents):
          '''
          Makes new consumers for the given indices.  Slightly extends base method by also setting
          pLvlTrue = 1.0 in the very first simulated period.
  
          Parameters
          ----------
          which_agents : np.array(Bool)
              Boolean array of size self.AgentCount indicating which agents should be "born".
  
          Returns
          -------
          None
          '''
          super(self.__class__,self).simBirth(which_agents)
          if self.t_sim == 0: # Make sure that pLvlTrue and aLvlNow exist
              self.pLvlTrue = np.ones(self.AgentCount)
              self.aLvlNow = self.aNrmNow*self.pLvlTruf simBirth(self,which_agents):
          '''
          Makes new consumers for the given indices.  Slightly extends base method by also setting
          pLvlTrue = 1.0 in the very first simulated period.
  
          Parameters
          ----------
          which_agents : np.array(Bool)
              Boolean array of size self.AgentCount indicating which agents should be "born".
  
          Returns
          -------
          None
          '''
          super(self.__class__,self).simBirth(which_agents)
          if self.t_sim == 0: # Make sure that pLvlTrue and aLvlNow exist
              self.pLvlTrue = np.ones(self.AgentCount)
              self.aLvlNow = self.aNrmNow*self.pLvlTrue
docs: Makes new consumers for the given indices.  Slightly extends base method by also setting
          pLvlTrue = 1.0 in the very first simulated period.
  
          Parameters
          ----------
          which_agents : np.array(Bool)
              Boolean array of size self.AgentCount indicating which agents should be "born".
  
          Returns
          -------
          None