delete print comments

src/demoses_distibuted_optimization/admm_main.py

@@ -25,7 +25,6 @@ def admm_main(primal_var_and_λ_EOM: Dict, admm_parameters: Dict, EOM: Dict, mod
             admm_parameters["Residuals"]["Primal"]["EOM"].append(primal_residuals)
             # Dual residuals
             if iter > 1:
-                # print(f'######################## print dual residuals for iteration {iter}: start #########################')
                 squared_dual_residual_for_all_agents = 0
                 for agent in agents['eom']:
                     term_to_subtract_current_iteration = np.sum(np.array([primal_var_and_λ_EOM["g"][agt][-1] for agt in agents['eom']]), axis=0) / (EOM["nAgents"] + 1)