code: def from_dict(d):
          
          return NoiseModel(
              gates=[KrausModel.from_dict(t) for t in d["gates"]],
              assignment_probs={int(qid): np.array(a) for qid, a in d["assignment_probs"].items()},
          )
docs: Re-create the noise model from a dictionary representation.
  
          :param Dict[str,Any] d: The dictionary representation.
          :return: The restored noise model.
          :rtype: NoiseModel