call save results function, return wall time in seconds

src/demoses_distibuted_optimization/run_admm_simulation.py

@@ -7,6 +7,7 @@ from define_consumer_parameters import define_consumer_parameters
 from define_generator_parameters import define_generator_parameters
 from define_results import define_results
 from admm_main import admm_main
+from save_results import save_results
 
 
 ## 1. Read input data required to run the ADMM simulation
@@ -86,7 +87,7 @@ start_time = timeit.default_timer()
 admm_main(primal_var_and_λ_EOM, admm_parameters, EOM, models_dict, agents, data) # calculate equilibrium
 
 end_time = timeit.default_timer()
-admm_parameters["walltime"] = (end_time - start_time) / 60  # wall time  # Calculate wall time in minutes and store in ADMM
+admm_parameters["walltime"] = (end_time - start_time)  # wall time  # Calculate wall time in minutes and store in ADMM
 
 print("Find equilibrium solution: done ...")
 print()
@@ -94,4 +95,8 @@ print(f"Required iterations: {admm_parameters['n_iter']}")
 print()
 print(f"RP EOM: {admm_parameters['Residuals']['Primal']['EOM'][-1]}, -- Tolerance: {admm_parameters['Tolerance']['EOM']}")
 print(f"RD EOM: {admm_parameters['Residuals']['Dual']['EOM'][-1]}, -- Tolerance: {admm_parameters['Tolerance']['EOM']}")
-print()
\ No newline at end of file
+print()
+
+print("############### print processing results: start ###############")
+save_results(EOM, admm_parameters, primal_var_and_λ_EOM, data, agents)
+print("############### print processing results: done ################")
\ No newline at end of file