julia> using Revise

julia> using JuMP

julia> import PowerModels

julia> import Ipopt

julia> begin
       PowerModels.silence()
       pm = PowerModels.instantiate_model(
           "pglib_opf_case9241_pegase.m",
           PowerModels.ACPPowerModel,
           PowerModels.build_opf,
       )
       set_optimizer(pm.model, Ipopt.Optimizer)
       set_optimizer_attribute(pm.model, "max_iter", 10)
       optimize!(pm.model)
       nlp_block = JuMP.MOI.get(JuMP.unsafe_backend(pm.model), JuMP.MOI.NLPBlock())
       total_callback_time =
               nlp_block.evaluator.eval_objective_timer +
               nlp_block.evaluator.eval_objective_gradient_timer +
               nlp_block.evaluator.eval_constraint_timer +
               nlp_block.evaluator.eval_constraint_jacobian_timer +
               nlp_block.evaluator.eval_hessian_lagrangian_timer
       println("")
       println("   callbacks time:")
       println("   * obj.....: $(nlp_block.evaluator.eval_objective_timer)")
       println("   * grad....: $(nlp_block.evaluator.eval_objective_gradient_timer)")
       println("   * cons....: $(nlp_block.evaluator.eval_constraint_timer)")
       println("   * jac.....: $(nlp_block.evaluator.eval_constraint_jacobian_timer)")
       println("   * hesslag.: $(nlp_block.evaluator.eval_hessian_lagrangian_timer)")
       end
[info | PowerModels]: Suppressing information and warning messages for the rest of this session.  Use the Memento package for more fine-grained control of logging.
This is Ipopt version 3.14.17, running with linear solver MUMPS 5.8.0.

Number of nonzeros in equality constraint Jacobian...:   395686
Number of nonzeros in inequality constraint Jacobian.:    92610
Number of nonzeros in Lagrangian Hessian.............:   713775

Total number of variables............................:    85568
                     variables with only lower bounds:        0
                variables with lower and upper bounds:    76327
                     variables with only upper bounds:        0
Total number of equality constraints.................:    82679
Total number of inequality constraints...............:    46305
        inequality constraints with only lower bounds:        0
   inequality constraints with lower and upper bounds:    14207
        inequality constraints with only upper bounds:    32098

iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
   0  3.2558304e+06 2.84e+01 1.00e+02  -1.0 0.00e+00    -  0.00e+00 0.00e+00   0
   1  3.3372098e+06 2.78e+01 9.84e+01  -1.0 4.34e+01    -  1.24e-02 1.94e-02h  1
   2  3.4280547e+06 2.71e+01 9.72e+01  -1.0 2.28e+01    -  4.12e-03 2.66e-02h  1
   3  3.5289937e+06 2.58e+01 9.56e+01  -1.0 3.02e+01    -  6.36e-03 4.59e-02h  1
   4  3.5702968e+06 2.45e+01 9.32e+01  -1.0 1.07e+02    -  1.79e-02 5.04e-02h  1
   5  3.5683907e+06 2.33e+01 9.08e+01  -1.0 3.09e+02    -  2.17e-02 4.89e-02h  1
   6  3.5755535e+06 2.17e+01 8.64e+01  -1.0 4.37e+02    -  4.46e-02 6.90e-02h  1
   7  3.6404373e+06 1.99e+01 8.12e+01  -1.0 4.61e+02    -  5.66e-02 8.20e-02h  1
   8  3.8204827e+06 1.73e+01 7.37e+01  -1.0 4.59e+02    -  8.46e-02 1.33e-01H  1
   9  4.0996155e+06 1.46e+01 6.99e+01  -1.0 4.05e+02    -  3.36e-02 1.58e-01h  1
iter    objective    inf_pr   inf_du lg(mu)  ||d||  lg(rg) alpha_du alpha_pr  ls
  10  4.3347590e+06 1.27e+01 6.25e+01  -1.0 3.14e+02    -  1.02e-01 1.29e-01h  1

Number of Iterations....: 10

                                   (scaled)                 (unscaled)
Objective...............:   3.1946168015315146e+04    4.3347589898830801e+06
Dual infeasibility......:   6.2495182233300511e+01    8.4799389047321492e+03
Constraint violation....:   1.2668657111871276e+01    1.2668657111871276e+01
Variable bound violation:   0.0000000000000000e+00    0.0000000000000000e+00
Complementarity.........:   2.6555734531625495e+06    3.6033338627257758e+08
Overall NLP error.......:   2.6555734531625495e+06    3.6033338627257758e+08


Number of objective function evaluations             = 12
Number of objective gradient evaluations             = 11
Number of equality constraint evaluations            = 12
Number of inequality constraint evaluations          = 12
Number of equality constraint Jacobian evaluations   = 11
Number of inequality constraint Jacobian evaluations = 11
Number of Lagrangian Hessian evaluations             = 10
Total seconds in IPOPT                               = 10.166

EXIT: Maximum Number of Iterations Exceeded.

   callbacks time:
   * obj.....: 0.0
   * grad....: 0.0
   * cons....: 0.993605375289917
   * jac.....: 0.4068117141723633
   * hesslag.: 1.6697413921356201