# car(id,from,to,speed,planTime) 5_col
carfile = read_input_file(car_path)
car_list = []
for i in range(len(carfile[0])):
car_list.append(
classini.Car(carfile[0][i], carfile[1][i], carfile[2][i],
carfile[3][i], carfile[4][i]))
# road(id,length,speed,channel,from,to,isDuplex) 7_col
roadfile = read_input_file(road_path)
road_list = []
for i in range(len(roadfile[0])):
road_list.append(
classini.road(roadfile[0][i], roadfile[1][i], roadfile[2][i],
roadfile[3][i], roadfile[4][i], roadfile[5][i],
roadfile[6][i]))
# cross(id,roadId,roadId,roadId,roadId) 5_col
crossfile = read_input_file(cross_path)
cross_list = []
for i in range(len(crossfile[0])):
cross_list.append(
classini.Cross(crossfile[0][i], crossfile[1][i], crossfile[2][i],
crossfile[3][i], crossfile[4][i]))
##########################################################
# 2.process
def searchid(id):
for i in range(len(cross_list)):
label[i] = [col_data[i] for col_data in data]
# 返回每一列组成的列表(2维)
return label
# car(id,from,to,speed,planTime) 5_col
carfile=read_input_file(car_path)
car_list=[]
for i in range(len(carfile[0])):
car_list.append(classini.Car(carfile[0][i],carfile[1][i],carfile[2][i],carfile[3][i],carfile[4][i]))
# road(id,length,speed,channel,from,to,isDuplex) 7_col
roadfile=read_input_file(road_path)
road_list=[]
for i in range(len(roadfile[0])):
road_list.append(classini.road(roadfile[0][i],roadfile[1][i],roadfile[2][i],roadfile[3][i],roadfile[4][i],roadfile[5][i],roadfile[6][i]))
# cross(id,roadId,roadId,roadId,roadId) 5_col
crossfile=read_input_file(cross_path)
cross_list=[]
for i in range(len(crossfile[0])):
cross_list.append(classini.Cross(crossfile[0][i],crossfile[1][i],crossfile[2][i],crossfile[3][i],crossfile[4][i]))
##########################################################
# 2.process
def Bellman_Ford(start, end, INF=999):
# 初始化源点与所有点之间的最短距离
dis = [INF for k in range(len(cross_list))]
dis[start-1] = 0
path = [[] for k in range(len(cross_list))]