code: def from_specification(cls, specification, model, classical_gap, ground_energy):
          
  
          # Author note: there might be a way that avoids rechecking all of the values without
          # side-effects or lots of repeated code, but this seems simpler and more explicit
          return cls(specification.graph,
                     specification.decision_variables,
                     specification.feasible_configurations,
                     specification.vartype,
                     model,
                     classical_gap,
                     ground_energy,
                     ising_linear_ranges=specification.ising_linear_ranges,
                     ising_quadratic_ranges=specification.ising_quadratic_ranges)
docs: Construct a PenaltyModel from a Specification.
  
          Args:
              specification (:class:`.Specification`): A specification that was used
                  to generate the model.
              model (:class:`dimod.BinaryQuadraticModel`): A binary quadratic model
                  that has ground states that match the feasible_configurations.
              classical_gap (numeric): The difference in classical energy between the ground
                  state and the first excited state. Must be positive.
              ground_energy (numeric): The minimum energy of all possible configurations.
  
          Returns:
              :class:`.PenaltyModel`