def run_view():
'''此方法为单步运行测试方法，带图像显示'''
time_logo=0
Data.FX_R = 8
Data.FX_P = math.pow(Data.FX_R, 2) / 2
Data.FX_S_V = 0
Data.FX_S_R = 15
# allPeople = InitPeolple.creatPeople() # 产生随机行人
# allPeople=InitPeolple.creatPeople_force_normal()
allPeople=InitPeolple.creatPeople_force_fix()
# allPeople=InitPeolple.creatPeople_force_random()
# allPeople=InitPeolple.creatAppointPeo()#产生指定行人
# allPeople=InitPeolple.creatAreaPeople()
# print(len(allPeople))
# allWall = InitPeolple.creatWall() # 创建墙壁
# allExit = InitPeolple.creatExit() # 创建出口
DrawFirst.drawPeople(allPeople)
# time.sleep(100)
result_time=[]
result_rote=[]
result_all=[]
while Data.flag:#循环开始
if Data.FX_S_R<21:
count_R_O_V()
for p in allPeople:#遍历行人
Income.outDirection(p, allPeople)#计算收益
direction = max(p.allInComeBySort.items(), key=lambda x: x[1])[0]#获取方向
Rule.chickOverAround(p, allPeople)#检测是否到达出口
Rule.PeopleMove(p, direction)#行人移动
a_p=0
b_p = 0
for p in allPeople:
if Data.FX_R**2<((p.x-Data.FX_M)**2 +(p.x-Data.FX_M)**2)<Data.FX_S_R**2:
a_p=a_p+1
if p.isInGrend==2:
b_p=b_p+1
result_time.append(time_logo)
if a_p==0:
result_rote.append(0)
else:
result_rote.append(b_p/a_p)
DrawFirst.drawPeople(allPeople)
time_logo = time_logo + 1
# print(time_logo,"\033[4;32;40mxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\033[0m")
# if time_logo==15:
# Data.flag=False
print(time_logo)
result_all.append(result_time)
result_all.append(result_rote)
print(result_all)
def run_insert(case_s, density, radius, radius_ob, radius_v, force, force_type,
peo_view, steps):
'''此方法为运行方法，带参数接受和返回，不带图像显示'''
Data.flag = True
time_logo = 0
if case_s == 0: #危险源位置设置
Data.FX_N = 19
elif case_s == 1:
Data.FX_N = 15
elif case_s == 2:
Data.FX_N = 10
elif case_s == 3:
Data.FX_N = 5
elif case_s == 4:
Data.FX_N = 2
Data.PEOPLE_DENSYTY = density
Data.PEOPLE_NUMBER = Data.count_PEOPLE_NUMBER(density)
Data.FX_SIGMA_2 = radius # 危险源大小
Data.FX_R = Data.count_FX_R(radius) # 影响范围半径
Data.FX_P = Data.count_FX_P(radius) # 系数 p越大 高斯函数的圆形越大
Data.FX_S_SIGMA_2 = radius_ob
Data.FX_S_R = Data.count_FX_S_R(radius_ob)
Data.FX_S_P = Data.count_FX_S_P(radius_ob)
Data.FX_S_V = radius_v
Data.PEOPLE_FORCE = force
if force_type == 0: # fix
allPeople = InitPeolple.creatPeople_force_fix()
else: #random
allPeople = InitPeolple.creatPeople_force_random()
Data.PEOPLE_FAN_R = peo_view
while Data.flag: #循环开始
if Data.FX_S_R < 21:
count_R_O_V(time_logo)
for p in allPeople: #遍历行人
Income.outDirection(p, allPeople) #计算收益
direction = max(p.allInComeBySort.items(),
key=lambda x: x[1])[0] #获取方向
Rule.chickOverAround(p, allPeople) #检测是否到达出口
Rule.PeopleMove(p, direction) #行人移动
if len(allPeople) == 0:
Data.flag = False
time_logo = time_logo + 1
# print(time_logo)
# print("\033[4;32;40mxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\033[0m")
return time_logo
def run_insert(par_density,par_case,par_r_c,par_r_o,par_v,par_force):
'''此方法为运行方法，带参数接受和返回，不带图像显示'''
Data.flag=True
time_logo=0
if par_case==1:#危险源位置设置
Data.FX_N=19
elif par_case==2:
Data.FX_N = 15
elif par_case==3:
Data.FX_N = 10
Data.PEOPLE_DENSYTY=par_density
Data.PEOPLE_NUMBER=int(Data.ROOM_N * Data.ROOM_M * par_density)
Data.FX_R =par_r_c # 影响范围半径
Data.FX_P = math.pow(par_r_c, 2) / 2 # 系数 p越大 高斯函数的圆形越大
Data.FX_S_R=par_r_o
Data.FX_S_P=math.pow(par_r_o, 2) / 2
Data.FX_S_V=par_v
Data.PEOPLE_FORCE=par_force
allPeople = InitPeolple.creatPeople_force_fix()
result_time = []
result_rote = []
result_all = []
while Data.flag:#循环开始
if Data.FX_S_R<21:
count_R_O_V()
for p in allPeople:#遍历行人
Income.outDirection(p, allPeople)#计算收益
direction = max(p.allInComeBySort.items(), key=lambda x: x[1])[0]#获取方向
Rule.chickOverAround(p, allPeople)#检测是否到达出口
Rule.PeopleMove(p, direction)#行人移动
if len(allPeople)==0:
Data.flag=False
a_p = 0
b_p = 0
for p in allPeople:
if Data.FX_R ** 2 < ((p.x - Data.FX_M) ** 2 + (p.x - Data.FX_M) ** 2) < Data.FX_S_R ** 2:
a_p = a_p + 1
if p.isInGrend == 2:
b_p = b_p + 1
result_time.append(time_logo)
if a_p == 0:
result_rote.append(0)
else:
result_rote.append(b_p / a_p)
time_logo = time_logo + 1
result_all.append(result_time)
result_all.append(result_rote)
return result_all