def main():
# algorithm arguments init
density = 3000
dist = 0.02
step = 0.005
# evaluator arguments init
total_capacity = 3000
window_size = 3
tmp_num = 2
tmp_max_list = [90] * tmp_num
method = "DP"
# huff arguments init
alpha = 1
beta = 1
ignore_prob = 0.01
reachable_dist = 0.02
huff = Huff(alpha, beta, reachable_dist, ignore_prob)
# file name
patient_filename = sys.argv[1]
hospital_filename = sys.argv[2]
# record variables
result_pos = []
start_time = time.time()
hospital_list = HospitalList()
hospital_list.read_file(hospital_filename)
pat_list = PatientList()
pat_list.read_file(patient_filename)
pos_list = get_init_pos_list((pat_list.xmin, pat_list.xmax), (pat_list.ymin, pat_list.ymax), step)
pos_list.set_range(pat_list.xmin, pat_list.xmax, pat_list.ymin, pat_list.ymax)
pos_list = density_filter(pos_list, pat_list, density, dist)
print("Num of Selectable Position: ", len(pos_list))
for i in range(tmp_num):
tmp_max = tmp_max_list[i]
e = Evaluater(hospital_list, pat_list, total_capacity, window_size, [tmp_max], huff, method)
pos, v = search_best_place(pos_list, e)
pos_list.sort(key=lambda p: p.val, reverse=True)
result_pos.append(pos)
new_h = Hospital("Tmp-" + str(i), pos.x, pos.y, tmp_max)
hospital_list.append(new_h)
del e
print "\nResult:"
print v[0]
print "\nPosition:"
for i in range(len(result_pos)):
print "%f, %f" % (result_pos[i].x, result_pos[i].y)
def editarHospitalesGenerativo(individuo):
# gerar um aleatório entre 0 e 3 para saber quantos hospitais serão criados
randomGenerative = rand.randint(1, 3)
city = individuo[0].city
#gera os datos aleatorios de os novos hospitais
for i in range(randomGenerative):
x1 = rand.randint(0, city.width - 1)
y1 = rand.randint(0, city.height - 1)
range1 = rand.randint(0, 3)
individuo.append(Hospital(x1, y1, range1, city))
return individuo
def __init__(self, h_list, p_list, t_cap, w_size, t_max_list, huff,
allocate_method):
self.h_list = h_list
self.p_list = p_list
self.t_cap = t_cap
self.w_size = w_size
self.huff = huff
self.allocate_method = allocate_method
self.t_list = [
Hospital("Tmp-" + str(i), -1, -1, t_max_list[i])
for i in range(len(t_max_list))
]
self.a_list = self.h_list + self.t_list
self.a_mapping = {a: i for i, a in enumerate(self.a_list)}
self.counter = 0
pass
def __init__(self, comm_row, comm_column, populations, initial_infections, comm_size=500):
# constants
self.FPS = 60
self.CONTAGIOUS_RADIUS = 15
self.CONTAGIOUS_RATE = 1
self.LEAST_INFECTED_TIME = 3
self.CURE_RATE = 0.07
self.CURE_RATE_PER_FRAME = 1 - pow(1 - self.CURE_RATE, 1/self.FPS)
self.DEAD_RATE = 0.03
self.DEAD_RATE_PER_FRAME = 1 - pow(1 - self.DEAD_RATE, 1/self.FPS)
self.SCAN_PER_FRAME = 3
# objects
self.comm_row = comm_row
self.comm_column = comm_column
self.communities = [Community(self, size=comm_size, population=populations[i], initial_infection=initial_infections[i]) for i in range(comm_row*comm_column)]
self.hospital = Hospital()
# people variable
self.people = []
self.data = []
doctor3 = Doctor('Dr.',
'Greta Koopmann',
['general', 'orthopedist'],
'+49 169 05251 2222',
calendar.afternoon)
doctor4 = Doctor('Dr.',
'Christian Gösling',
['general', 'neurologist'],
'+49 169 05251 3333',
calendar.morning)
doctor5 = Doctor('Dr.',
'Viktor Kratchnisky',
['general', 'emergency_doc'],
'+49 169 05251 4444',
calendar.morning + calendar.afternoon)
return [doctor1, doctor2, doctor3, doctor4, doctor5]
#Data for hospital 2
name = 'St_Johannes_Hospital'
free_rooms = 75
id = 'mel_hosp2'
coordinates = [51.51,7.45] # Dortmund
doctors = create_doctors()
hospital = Hospital(name, free_rooms, id, coordinates, doctors)
hospital.loop()
ORIGINAL_NUM = 50 #初始感染数量
BROAD_RATE = 0.7 #传播率
SHADOW_TIME = 24 #潜伏时间 最新数据潜伏期可长达24天
HOSPITAL_RECEIVE_TIME = 3 #医院收治响应时间
CURE_TIME = 14 #治疗时间
BED_NUM = 1000 #医院床位
SAFETY_DIST = 15 #安全距离
u = np.exp(-0.99) #流动意向平均值 几乎不动
PERSON_NUM = 5000 #城市内人数
city = City(0, 0)
# def __init__(self,city,u,people_num,BROAD_RATE,SHADOW_TIME,HOSPITAL_RECEIVE_TIME,CURE_TIME,SAFETY_DIST):
pool = PeoplePool(city, u, PERSON_NUM, BROAD_RATE, SHADOW_TIME,
HOSPITAL_RECEIVE_TIME, CURE_TIME, SAFETY_DIST)
hospital = Hospital(BED_NUM)
# 随机选择初始感染者
for i in range(ORIGINAL_NUM):
idx = np.random.randint(0, PERSON_NUM)
pool.people[idx].status = 1
pool.people[idx].infected_time = 0
color_person = ['white', 'yellow', 'red', 'black'] # 正常, 潜伏, 确诊感染, 住院
color_bed = ['red', 'black'] # 0 感染者入住 , 1空床位
fig = plt.figure(figsize=(20, 10))
plt.style.use('dark_background')
fig.patch.set_facecolor('black')
from mathdojo import MathDojo
from hospital import Patient
from hospital import Hospital
from car import Car
from callcenter import Call
from callcenter import CallCenter
from bike import Bike
from animals import Animal
from animals import Dog
from animals import Dragon
md = MathDojo(0)
print md
hosp = Hospital("Great Hospital", 6)
print hosp
patient = Patient(1, "Bob")
print patient
car = Car(5000, "75mph", "Full", "25mpg")
print car
call = Call(1, "Stephen", "770-789-7038", 8.30, "For Fun")
print call
call_center = CallCenter()
print call_center
bike = Bike(150, "15mph")
print bike
fox = Animal("Fox")
print fox
pitbull = Dog("Pitbull")
print pitbull
trogdor = Dragon("Trogdor the Burninator")
print trogdor
#from hospital import Hopistal, Medico
import tkinter
from hospital import Hospital
from medico import Medico
from tkinter import *
hosp = Hospital(nome='', tipo='', especialidade='', avaliacao='')
app = Tk(screenName='principal')
app.geometry('200x100+200+100')
bt_inserir = Button(app, text='Inserir', command=hosp.inserir)
bt_inserir.pack(side='right')
bt_mostrar = Button(app, text='Mostrar', command=hosp.mostrar)
bt_mostrar.pack(side='left')
app.mainloop()
