code: def getLearnableLocationRepresentation(self):
      
      learnableCells = np.array([], dtype="uint32")
  
      totalPrevCells = 0
      for module in self.L6aModules:
        learnableCells = np.append(learnableCells,
                                   module.getLearnableCells() + totalPrevCells)
        totalPrevCells += module.numberOfCells()
  
      return learnableCells
docs: Get the cells in the location layer that should be associated with the
      sensory input layer representation. In some models, this is identical to the
      active cells. In others, it's a subset.