code: def model_to_objective(self, x_model, index_in_model):
      vardim = self.dimensionality_in_model
      original_entry = x_model[
          0, index_in_model : (index_in_model + vardim)
      ]
      entry = sum(x * y for x, y in zip(range(vardim), original_entry))
      return [entry]
  
imports: import numpy
  from copy import deepcopy
  from ..errors import InvalidConfigError
label_desc: Use image node_id 4 for calling the CategoricalVariable obj's underlying member method code with example usage: obj.model_to_objective(x_model, index_in_model) and returns: list