code: def update_state_ip(
      state,
      x,
      last_iteration_failed,
      objective,
      prepared_constraints,
      start_time,
      tr_radius,
      constr_penalty,
      cg_info,
      barrier_parameter,
      barrier_tolerance,
  ):
      state = update_state_sqp(
          state,
          x,
          last_iteration_failed,
          objective,
          prepared_constraints,
          start_time,
          tr_radius,
          constr_penalty,
          cg_info,
      )
      state.barrier_parameter = barrier_parameter
      state.barrier_tolerance = barrier_tolerance
      return state
  
imports: from __future__ import division, print_function, absolute_import
  import time
  import numpy
  from scipy.sparse.linalg import LinearOperator
  from .._differentiable_functions import VectorFunction
  from .._constraints import NonlinearConstraint, LinearConstraint, PreparedConstraint, strict_bounds
  from .._hessian_update_strategy import BFGS
  from ..optimize import OptimizeResult
  from .._differentiable_functions import ScalarFunction
  from .equality_constrained_sqp import equality_constrained_sqp
  from .canonical_constraint import CanonicalConstraint, initial_constraints_as_canonical
  from .tr_interior_point import tr_interior_point
  from .report import BasicReport, SQPReport, IPReport
label_desc: Use image node_id 2 for calling a global function with example usage: update_state_ip(state, x, last_iteration_failed, objective, prepared_constraints, start_time, tr_radius, constr_penalty, cg_info, barrier_parameter, barrier_tolerance) and returns: state