Indeed. The model is trivial for local search
Starting search at 0.01s with 16 workers.
11 full problem subsolvers: [core, default_lp, lb_tree_search, max_lp_sym, no_lp, objective_lb_search, probing, pseudo_costs, quick_restart, quick_restart_no_lp, reduced_costs]
5 first solution subsolvers: [fj(2), fs_random, fs_random_no_lp, fs_random_quick_restart_no_lp]
11 interleaved subsolvers: [feasibility_pump, graph_arc_lns, graph_cst_lns, graph_dec_lns, graph_var_lns, lb_relax_lns, ls, ls_lin, rins/rens, rnd_cst_lns, rnd_var_lns]
3 helper subsolvers: [neighborhood_helper, synchronization_agent, update_gap_integral]
#1 0.02s best:14 next:[11,13] fj_restart(batch:1 lin{mvs:81 evals:240} #w_updates:35 #perturb:0)
#2 0.02s best:13 next:[11,12] ls_restart_decay(batch:1 lin{mvs:76 evals:515} #w_updates:34 #perturb:0)
#3 0.02s best:11 next:[] ls_lin_restart_perturb(batch:1 lin{mvs:67 evals:258} #w_updates:42 #perturb:0)