visualization_utils/plotting.py [1032:1057]:
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    for file_full_addr in file_full_addr_list:
        experiment_name = get_experiments_name(file_full_addr, res_column_name_number)
        experiment_column_value[experiment_name] = {}
        for y_column_name in y_column_name_list:
            if "budget"  in y_column_name :
                prefix = ""
            else:
                prefix = "best_des_so_far_"
            y_column_name = prefix+y_column_name
            y_column_number = res_column_name_number[y_column_name]
            x_column_number = res_column_name_number[x_column_name]
            #dis_to_goal_column_number = res_column_name_number["dist_to_goal_non_cost"]
            #ref_des_dis_to_goal_column_number = res_column_name_number["ref_des_dist_to_goal_non_cost"]

            if not y_column_name == prefix+"latency":
                experiment_column_value[experiment_name][y_column_name] = []


            with open(file_full_addr, newline='') as csvfile:
                resultReader = csv.reader(csvfile, delimiter=',', quotechar='|')
                for i, row in enumerate(resultReader):
                    if i > 1:
                        if row[trueNum] == "FALSE" or row[move_name_number]=="identity":
                            continue
                        metric_chosen  = row[res_column_name_number["transformation_metric"]]
                        workload_chosen  = row[res_column_name_number["workload"]]
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visualization_utils/plotting.py [1160:1185]:
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    for file_full_addr in file_full_addr_list:
        experiment_name = get_experiments_name(file_full_addr, res_column_name_number)
        experiment_column_value[experiment_name] = {}
        for y_column_name in y_column_name_list:
            if "budget"  in y_column_name :
                prefix = ""
            else:
                prefix = "best_des_so_far_"
            y_column_name = prefix+y_column_name
            y_column_number = res_column_name_number[y_column_name]
            x_column_number = res_column_name_number[x_column_name]
            #dis_to_goal_column_number = res_column_name_number["dist_to_goal_non_cost"]
            #ref_des_dis_to_goal_column_number = res_column_name_number["ref_des_dist_to_goal_non_cost"]

            if not y_column_name == prefix+"latency":
                experiment_column_value[experiment_name][y_column_name] = []


            with open(file_full_addr, newline='') as csvfile:
                resultReader = csv.reader(csvfile, delimiter=',', quotechar='|')
                for i, row in enumerate(resultReader):
                    if i > 1:
                        if row[trueNum] == "FALSE" or row[move_name_number]=="identity":
                            continue
                        metric_chosen  = row[res_column_name_number["transformation_metric"]]
                        workload_chosen  = row[res_column_name_number["workload"]]
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