def display_cars(self, cars):
car_lines = []
for n in range(0, len(cars)):
car_lines.append(random.choice(self.road))
for n in range(0, len(self.totalRoads)):
road = self.road[n]
line_data = road.get_data()
x_min, x_max = self.lineX(line_data)
y_min, y_max = self.lineY(line_data)
locX = (x_max - x_min) / 2 + x_min
locY = (y_max - y_min) / 2 + y_min
plot.plotLineTxt(locX, locY, n + 1)
# temporal variable to hold values of cars
points = [[], []]
# get X cars in the graph
for n in range(0, len(cars)):
random_index = randrange(0, len(car_lines))
self.currentRoad[cars[n]] = random_index
car_line = car_lines[random_index]
point = car_line.get_xydata()[0] # first point in the graph
# calculate the angle
line_data = car_line.get_data()
ang = self.calculateAngle(line_data)
self.cars[cars[n]] = self.carProperties(point, ang, x_min, x_max)
# for the even cars shift angle to negative
# so that it goes in opposite direction from car1
i = self.cars.keys().index(cars[n])
if i % 2 == 0:
ang = ang + math.pi
point = car_line.get_xydata()[-1] # for this car get the last point as positions
x_min, x_max = self.lineX(line_data)
self.initial[cars[n]] = self.carPoint(point)
# add scatter
points[0].append(point[0])
points[1].append(point[1])
self.speed(cars[n]) # Get Speed
# Useful to Graph
plot.instantiateCircle(cars[n])
plot.instantiateAnnotate(cars[n])
# plot the cars
self.scatter = plot.plotScatter(points[0], points[1])
def display_cars(self, cars):
car_lines = []
for n in range(0,len(cars)):
car_lines.append(random.choice(self.road))
for n in range(0, len(self.totalRoads)):
road = self.road[n]
line_data = road.get_data()
x_min, x_max = self.lineX(line_data)
y_min, y_max = self.lineY(line_data)
locX = (x_max - x_min)/2 + x_min
locY = (y_max - y_min)/2 + y_min
plot.plotLineTxt(locX, locY, n+1)
#temporal variable to hold values of cars
points = [[],[]]
#get X cars in the graph
for n in range(0,len(cars)):
random_index = randrange(0,len(car_lines))
self.currentRoad[cars[n]] = random_index
car_line = car_lines[random_index]
point = car_line.get_xydata()[0] #first point in the graph
#calculate the angle
line_data = car_line.get_data()
ang = self.calculateAngle(line_data)
self.cars[cars[n]] = self.carProperties(point, ang, x_min, x_max)
#for the even cars shift angle to negative
#so that it goes in opposite direction from car1
i = self.cars.keys().index(cars[n])
if i%2==0:
ang = ang + math.pi
point = car_line.get_xydata()[-1] #for this car get the last point as positions
x_min, x_max = self.lineX(line_data)
self.initial[cars[n]] = self.carPoint(point)
#add scatter
points[0].append(point[0])
points[1].append(point[1])
self.speed(cars[n]) # Get Speed
#Useful to Graph
plot.instantiateCircle(cars[n])
plot.instantiateAnnotate(cars[n])
#plot the cars
self.scatter = plot.plotScatter(points[0],points[1])
def instantiateGraph():
nodeList = mobility.staList + mobility.apList
for node in nodeList:
plot.instantiateGraph(mobility.MAX_X, mobility.MAX_Y)
plot.instantiateNode(node, mobility.MAX_X, mobility.MAX_Y)
plot.instantiateAnnotate(node)
plot.instantiateCircle(node)
plot.graphUpdate(node)
def instantiateGraph():
nodeList = mobility.staList + mobility.apList
for node in nodeList:
plot.instantiateGraph(mobility.MAX_X, mobility.MAX_Y)
plot.instantiateNode(node, mobility.MAX_X, mobility.MAX_Y)
plot.instantiateAnnotate(node)
plot.instantiateCircle(node)
plot.graphUpdate(node)
def display_grid(self, baseStations, nroads):
for n in range(0, nroads):
if n == 0:
p = ginp(2)
self.points[n] = p
self.all_points = p
else:
p = ginp(1)
self.points[n] = p
self.all_points.append(p[0])
x1 = [x[0] for x in self.points[n]]
y1 = [x[1] for x in self.points[n]]
if n == 0:
self.points[n] = self.get_line(
int(x1[0]), int(y1[0]), int(x1[1]),
int(y1[1])) # Get all the points in the line
else:
self.points[n] = self.get_line(
int(self.all_points[n][0]), int(self.all_points[n][1]),
int(p[0][0]),
int(p[0][1])) # Get all the points in the line
x1 = [x[0] for x in self.points[n]]
y1 = [x[1] for x in self.points[n]]
self.interX[n] = x1
self.interY[n] = y1
self.road[n] = plot.plotLine2d(
x1, y1, color='g'
) # Create a line object with the x y values of the points in a line
plot.plotLine(self.road[n])
#plot.plotDraw()
for i in range(len(baseStations)):
self.bss[baseStations[i]] = ginp(1)[0]
bs_x = self.bss[baseStations[i]][0]
bs_y = self.bss[baseStations[i]][1]
self.scatter = plot.plotScatter(bs_x, bs_y)
baseStations[i].params['position'] = bs_x, bs_y, 0
plot.instantiateAnnotate(baseStations[i])
plot.instantiateCircle(baseStations[i])
plot.drawTxt(baseStations[i])
plot.drawCircle(baseStations[i])
plot.plotDraw()
def display_grid(self, baseStations, nroads):
for n in range(0, nroads):
if n == 0:
p = ginp(2)
self.points[n] = p
self.all_points = p
else:
p = ginp(1)
self.points[n] = p
self.all_points.append(p[0])
x1 = [x[0] for x in self.points[n]]
y1 = [x[1] for x in self.points[n]]
if n == 0:
self.points[n] = self.get_line(int(x1[0]),int(y1[0]),int(x1[1]),int(y1[1])) # Get all the points in the line
else:
self.points[n] = self.get_line(int(self.all_points[n][0]),int(self.all_points[n][1]),int(p[0][0]),int(p[0][1])) # Get all the points in the line
x1 = [x[0] for x in self.points[n]]
y1 = [x[1] for x in self.points[n]]
self.interX[n] = x1
self.interY[n] = y1
self.road[n] = plot.plotLine2d(x1,y1, color='g') # Create a line object with the x y values of the points in a line
plot.plotLine(self.road[n])
#plot.plotDraw()
for i in range(len(baseStations)):
self.bss[baseStations[i]] = ginp(1)[0]
bs_x = self.bss[baseStations[i]][0]
bs_y = self.bss[baseStations[i]][1]
self.scatter = plot.plotScatter(bs_x, bs_y)
baseStations[i].params['position'] = bs_x, bs_y, 0
plot.instantiateAnnotate(baseStations[i])
plot.instantiateCircle(baseStations[i])
plot.drawTxt(baseStations[i])
plot.drawCircle(baseStations[i])
plot.plotDraw()
def instatiateNodes(self, node):
plot.instantiateAnnotate(node)
plot.instantiateCircle(node)
plot.instantiateNode(node, self.MAX_X, self.MAX_Y)
plot.graphUpdate(node)
def graphInstantiateNodes(self, node):
plot.instantiateAnnotate(node)
plot.instantiateCircle(node)
plot.instantiateNode(node, self.MAX_X, self.MAX_Y)
plot.graphUpdate(node)
