while total_round > 0:
## caculate goal_index
if round_index == 0:
goal_selection_flag = numpy.ones(7)
searched_violation_pattern.append(goal_selection_flag)
search_round = search_round_list[int(sum(goal_selection_flag))]
# search_round = 50
if total_round < search_round:
search_round = total_round
# total_round = total_round - search_round
Configuration = TurnRightConfigure(goal_selection_flag,
population, search_round,
round_index, target_dir)
vars_file_name = Configuration.file_dir_var
results_file_name = Configuration.file_dir_eval
else:
# print(round_index, sum(pattern_count))
fileList = os.listdir(results_file_name)
fileList.sort()
for i in range(population * search_round):
textname = results_file_name + '/' + fileList[i]
# print(textname)
result = numpy.loadtxt(textname)
evaluation.append(result)
goal_flag = numpy.zeros((7), dtype=int)
for row in csv_file:
priority_list.append(row)
priority_list = [[float(x) for x in row] for row in priority_list]
priority_list = numpy.array(priority_list)
violation_pattern_to_search = []
pattern_count = numpy.zeros(priority_list.shape[0])
evaluation = []
searched_violation_pattern = []
for round_idx in range(total_round):
if round_idx == 0:
goal_index = 0
Configuration = TurnRightConfigure(goal_index, population,
search_round, target_dir,
round_idx)
vars_file_name = Configuration.file_dir_var
results_file_name = Configuration.file_dir_eval
searched_violation_pattern.append(goal_index)
else:
fileList = os.listdir(results_file_name)
fileList.sort()
for i in range(population * search_round):
textname = results_file_name + '/' + fileList[i]
# print(textname)
result = numpy.loadtxt(textname)
evaluation.append(result)
goal_flag = numpy.zeros((7), dtype=int)
for j in range(7):
if result[j] < target_value_threshold[j]:
# searched_violation_pattern = numpy.loadtxt("searched_violation_pattern_0.txt")
while total_second > 0:
# for round_index in range (total_round):
if round_index == 0:
goal_index = 0
goal_selection_flag = priority_list[goal_index]
if total_second < search_second:
search_round = total_second
# total_round = total_round - search_round
# total_round = total_round - search_round
Configuration = TurnRightConfigure(goal_index, population,
target_dir, round_index)
vars_file_name = Configuration.file_dir_var
results_file_name = Configuration.file_dir_eval
searched_violation_pattern.append(goal_index)
else:
fileList = os.listdir(results_file_name)
fileList.sort()
for i in range(population * search_round):
textname = results_file_name + '/' + fileList[i]
# print(textname)
result = numpy.loadtxt(textname)
evaluation.append(result)
goal_flag = numpy.zeros((7), dtype=int)
for j in range(7):
if result[j] < target_value_threshold[j]:
# -*- coding: utf-8 -*-
from multiprocessing import Pool
from Settings.TurnRightConfigure import TurnRightConfigure
from MyScenario.TurnRight import create_run_scenario_turnright_random
import os
import time
data_folder = os.getcwd() + '/TurnRight_Datalog_' + str(
time.strftime("%Y_%m_%d_%H"))
if not os.path.exists(data_folder):
os.mkdir(data_folder)
if __name__ == "__main__":
target_dir = data_folder
Configuration = TurnRightConfigure(target_dir)
pool = Pool(processes=Configuration.ProcessNum)
res_l = []
for i in range(Configuration.maxIterations):
res = pool.apply_async(create_run_scenario_turnright_random,
(Configuration, ))
res_l.append(res)
# print("==============================>")
pool.close()
pool.join()