def __init__(self,envrionment,person_tag=0,important_loc=[]):
self.person_tag=person_tag
self.Envir=Environment.Envronment([],1)
self.Envir.copy_environment(envrionment)
# Environment.Envronment([],1)
#self.Envir.copy_environment(envrionment)
self.Envir.grid.set_grid(self.Envir.PointList)
self.route=[]
self.important_loc=important_loc
def read_txt_step(self, path, temp_envir, offset):
if self.mid:
self.mid = None
temp_mid = []
with open(path, 'r+') as f:
f.seek(offset)
temp_str = f.readline()
if (temp_str):
temp_route2 = []
person_tag = 0
temp_str = temp_str.rstrip('\n')
if (temp_str == 'People'):
person_tag = int(f.readline().rstrip('\n'))
temp_str = f.readline()
important_loc = []
temp = temp_str.rstrip('\n')
if not (temp == '0'):
temp = temp.split(" ")
for i in range(int(len(temp))):
index = int(temp[i])
point = temp_envir.PointList[index]
important_loc.append(point)
while (True):
temp_str = f.readline()
temp_str = temp_str.rstrip('\n')
if (temp_str != str(0)):
temp_str = temp_str.split(' ')
tempx = float(temp_str[0])
tempy = float(temp_str[1])
ID = int(temp_str[2])
state = int(temp_str[3])
weight = float(temp_str[4])
gridID1 = int(temp_str[5])
gridID2 = int(temp_str[6])
t = float(temp_str[7])
weight2 = float(temp_str[8])
point = Point.Point(tempx,
tempy,
gridid=(gridID1, gridID2),
ID=ID,
state=state,
weight=weight)
point.weight2 = weight2
point.t = t
temp_route2.append(point)
else:
offset = f.tell()
break
temp_envir = Environment.Envronment([], 1)
temp_mid = data_mid.data_mid(temp_envir,
person_tag=person_tag,
important_loc=important_loc)
temp_mid.add_location(temp_route2)
return temp_mid, offset
def __init__(self,args_model,environment,homeposition,workposition,visited_Place=[]):
self.Envir=Environment.Envronment([],1)
self.args_model = args_model
self.visited_Place = visited_Place
self.HomePosition = homeposition
self.WorkPosition = workposition
self.Envir.copy_environment(environment)
#time constrains
self.args_t =[]
self.t_now=-1
self.t_end=-1
#space constrains
self.args_step=[]
self.speed=-1
def read_Envr(self, path):
temp_route = []
dimension_x = 0
dimension_y = 0
with open(path, 'r') as f:
temp_str = f.readline()
temp_str = temp_str.rstrip('\n')
if (temp_str == 'Environment'):
temp_str = f.readline()
temp_str = temp_str.rstrip('\n')
temp_str = temp_str.split(' ')
temp_int = [int(temp_str[0]), int(temp_str[1])]
dimension_x, dimmension_y = temp_int[0], temp_int[1]
tag = True
while (tag):
temp_str = f.readline()
temp_str = temp_str.rstrip('\n')
if (temp_str != str(0)):
temp_str = temp_str.split(' ')
tempx = float(temp_str[0])
tempy = float(temp_str[1])
ID = int(temp_str[2])
state = int(temp_str[3])
weight = float(temp_str[4])
gridID1 = int(temp_str[5])
gridID2 = int(temp_str[6])
t = float(temp_str[7])
weight2 = float(temp_str[8])
# t=float(temp_str[6])
point = Point.Point(tempx,
tempy,
ID=ID,
state=state,
weight=weight,
gridid=(gridID1, gridID2))
point.weight2 = weight2
point.t = t
temp_route.append(point)
else:
offset = f.tell()
break
temp_envir = Environment.Envronment(temp_route,
dimension_x=dimension_x,
dimmension_y=dimension_y)
temp_envir.cal_dis_dict(temp_envir.dis_func1)
return temp_envir, offset
def __init__(self, args_model, args_step, args_t, simulate_time,
environment):
self.speed = 30000
self.Envir = Environment.Envronment([], 1)
self.Envir.copy_environment(environment)
if (not environment.dis_dict):
self.Envir.cal_dis_dict(self.Envir.dis_func1)
self.set_args(args_model, args_step, args_t, simulate_time)
self.data_mid = data_mid.data_mid(environment, person_tag=0)
self.set_home_loc()
self.set_work_loc(beta=args_step[0])
self.home_locationList = []
self.work_locatonList = []
self.commute_LocationList = []
for i in range(1):
self.home_locationList.append(self.home_loc)
self.work_locatonList.append(self.work_loc)
self.data_mid.add_location([self.home_loc, self.work_loc])
self.data_mid.important_loc = [self.home_loc, self.work_loc]
r2 = (Point1.x - Point2.x) * (Point1.x - Point2.x) + (
Point1.y - Point2.y) * (Point1.y - Point2.y)
return math.sqrt(r2)
path = "E:/data/shenzhen/shenzhen.mdb"
name = "shenzhen_random_split"
field = ["PN_INHABIT"]
io_dealer = IO_shp.IO()
xy_list = io_dealer.read_shp(path=path, name=name, fied_list=field)
Point_List = []
for i, xy in enumerate(xy_list):
temp_Point = Point.Point(xy[1][0], xy[1][1], gridid=-1, ID=i, weight=xy[0])
Point_List.append(temp_Point)
Envir = Environment.Envronment(Point_List=Point_List, dimension_x=10)
Envir.cal_dis_dict(dis_function=dis_func1)
simulate_time = 400
temp_routeList = []
for i in range(0, 10):
#model=Model5.HomeOrWork_Model(args_model=args_model,args_t=args_time,args_steps=args_steps,environment=Envir,visited_Place=[],homeposition=random.choice(Envir.locations),workposition=random.choice(Envir.locations))
model = agent.Nomal_Individual(args_model=args_model,
args_t=args_time,
args_step=args_steps,
simulate_time=simulate_time,
environment=Envir)
model.simulate()
mid = model.data_mid
mid.person_tag = i
write = IO.IO(mid)
def __init__(self, PointList, Envir):
self.PointList = PointList
self.Envir = Environment.Envronment([], 10)
self.Envir.copy_environment(Envir)
def read_txt(self, path):
if self.mid:
self.mid = None
temp_route = []
dimension_x = 0
dimension_y = 0
with open(path, 'r') as f:
temp_str = f.readline()
temp_str = temp_str.rstrip('\n')
if (temp_str == 'Environment'):
temp_str = f.readline()
temp_str = temp_str.rstrip('\n')
temp_str = temp_str.split(' ')
temp_int = [int(temp_str[0]), int(temp_str[1])]
dimension_x, dimmension_y = temp_int[0], temp_int[1]
tag = True
while (tag):
temp_str = f.readline()
temp_str = temp_str.rstrip('\n')
if (temp_str != str(0)):
temp_str = temp_str.split(' ')
tempx = float(temp_str[0])
tempy = float(temp_str[1])
ID = int(temp_str[2])
state = int(temp_str[3])
weight = float(temp_str[4])
gridID1 = int(temp_str[5])
gridID2 = int(temp_str[6])
t = float(temp_str[7])
weight2 = float(temp_str[8])
point = Point.Point(tempx,
tempy,
ID=ID,
state=state,
weight=weight,
gridid=(gridID1, gridID2))
point.weight2 = weight2
point.t = t
temp_route.append(point)
else:
break
temp_envir = Environment.Envronment(temp_route,
dimension_x=dimension_x,
dimmension_y=dimension_y)
temp_envir.cal_dis_dict(temp_envir.dis_func1)
data_mid_list = []
temp_str = f.readline()
while (temp_str):
temp_route2 = []
person_tag = 0
temp_str = temp_str.rstrip('\n')
if (temp_str == 'People'):
person_tag = int(f.readline().rstrip('\n'))
temp_str = f.readline()
important_loc = []
temp = temp_str.rstrip('\n')
if not (temp == '0'):
temp = temp.split(" ")
for i in range(int(len(temp))):
index = int(temp[i])
point = temp_envir.PointList[index]
important_loc.append(point)
while (True):
temp_str = f.readline()
temp_str = temp_str.rstrip('\n')
if (temp_str != str(0)):
temp_str = temp_str.split(' ')
tempx = float(temp_str[0])
tempy = float(temp_str[1])
ID = int(temp_str[2])
state = int(temp_str[3])
weight = float(temp_str[4])
gridID1 = int(temp_str[5])
gridID2 = int(temp_str[6])
t = float(temp_str[7])
weight2 = float(temp_str[8])
point = Point.Point(tempx,
tempy,
gridid=(gridID1, gridID2),
ID=ID,
state=state,
weight=weight)
point.weight2 = weight2
point.t = t
temp_route2.append(point)
else:
break
temp_mid = data_mid.data_mid(temp_envir,
person_tag=person_tag,
important_loc=important_loc)
temp_mid.add_location(temp_route2)
data_mid_list.append(temp_mid)
temp_str = f.readline()
return data_mid_list
