def get_closest_exit(self,hotspot):
pos = self.get_position()
exits = []
distances = []
#if hotspot == 2001: exits = [[-36,-192],[35,-138],[131,-78],[235,-5]]
#if hotspot == 2003: exits = [[235,-5],[178,68],[122,154],[59,244]]
#if hotspot == 2004: exits = [[59,244],[-38,182],[-121,125],[-211,67]]
#if hotspot == 2002: exits = [[-211,67],[-149,-26],[-97,-112],[-44,-192]]
#if hotspot == 2001: exits = [[75,-560],[144,-560],[172,-560],[195,-561],[274,-559],[427,-558],[598,-560],[680,-460],[679,-429],[678,-392],[681,-232],[675,-160],[675,-106]]
#if hotspot == 2002: exits = [[-617,-561],[-218,-554],[-199,559],[-86,-560],[-356,-560],[-698,-474],[-696,-376]]
#if hotspot == 2003: exits = [[681,26],[676,271],[677,384],[676,440],[264,713],[386,716],[427,716],[427,714],[622,729]]
#if hotspot == 2004: exits = [[-698,181],[-696,206],[-695,262],[-695,334],[-695,262],[-696,333],[-697,385],[-612,714],[-579,715],[-487,716],[-362,708],[233,713],[-98,717],[40,716],[161,718]]
if hotspot == 2001: exits = [[-86,-559],[76,-560], [143,-559], [173,-560], [195,-554], [273,-560], [427,-559], [598,-562], [861,-515], [866,-468], [862,-198]]
if hotspot == 2002: exits = [[-199,-560], [-219,-560], [-356,-560], [-617,-563], [-631,-558], [-927,-514], [-882,-513]]
if hotspot == 2003: exits = [[864,130], [864,165], [868,387], [868,473], [867,786], [866,820], [866,874], [837,1084], [778,1093], [605,1085], [582,1091], [482,1085], [421,1086], [338,1087], [308,1086], [141,1083], [111,1087], [89,1086]]
if hotspot == 2004: exits = [[-1016,801], [-1031,918], [-1028,1080], [-848,1084], [-728,1104], [-585,1086], [-440,1085], [-347,1076], [-231,1090], [-150,1085], [-44,1094]]
for r in range(len(exits)):
distances.append([vdistsqr(pos,exits[r]),r])
#print 'not sorted: ',distances
distances.sort()
self.set_goal_by_coordinates(exits[distances[0][1]])
def get_closest_exit(self, hotspot):
pos = self.get_position()
exits = []
distances = []
#if hotspot == 2001: exits = [[-36,-192],[35,-138],[131,-78],[235,-5]]
#if hotspot == 2003: exits = [[235,-5],[178,68],[122,154],[59,244]]
#if hotspot == 2004: exits = [[59,244],[-38,182],[-121,125],[-211,67]]
#if hotspot == 2002: exits = [[-211,67],[-149,-26],[-97,-112],[-44,-192]]
#if hotspot == 2001: exits = [[75,-560],[144,-560],[172,-560],[195,-561],[274,-559],[427,-558],[598,-560],[680,-460],[679,-429],[678,-392],[681,-232],[675,-160],[675,-106]]
#if hotspot == 2002: exits = [[-617,-561],[-218,-554],[-199,559],[-86,-560],[-356,-560],[-698,-474],[-696,-376]]
#if hotspot == 2003: exits = [[681,26],[676,271],[677,384],[676,440],[264,713],[386,716],[427,716],[427,714],[622,729]]
#if hotspot == 2004: exits = [[-698,181],[-696,206],[-695,262],[-695,334],[-695,262],[-696,333],[-697,385],[-612,714],[-579,715],[-487,716],[-362,708],[233,713],[-98,717],[40,716],[161,718]]
if hotspot == 2001:
exits = [[-86, -559], [76, -560], [143, -559], [173, -560],
[195, -554], [273, -560], [427, -559], [598, -562],
[861, -515], [866, -468], [862, -198]]
if hotspot == 2002:
exits = [[-199, -560], [-219, -560], [-356, -560], [-617, -563],
[-631, -558], [-927, -514], [-882, -513]]
if hotspot == 2003:
exits = [[864, 130], [864, 165], [868, 387], [868, 473],
[867, 786], [866, 820], [866, 874], [837, 1084],
[778, 1093], [605, 1085], [582, 1091], [482, 1085],
[421, 1086], [338, 1087], [308, 1086], [141, 1083],
[111, 1087], [89, 1086]]
if hotspot == 2004:
exits = [[-1016, 801], [-1031, 918], [-1028, 1080], [-848, 1084],
[-728, 1104], [-585, 1086], [-440, 1085], [-347, 1076],
[-231, 1090], [-150, 1085], [-44, 1094]]
for r in range(len(exits)):
distances.append([vdistsqr(pos, exits[r]), r])
#print 'not sorted: ',distances
distances.sort()
self.set_goal_by_coordinates(exits[distances[0][1]])
def update(self):
if len(self.path) > 0 and self.path != None:
if self.destnumber == len(self.path):
if self.exiting == True:
self.to_be_destroyed = True
return
del self.path[:]
#print self.hotspot
#print self.destweights
AHS_MODE = False
if AHS_MODE == True:
raffle = randint(1,10) #Picking random walkers to exit
if raffle == 10:
self.exiting = True
passage = choice([2001,2002,2003,2004])
self.get_closest_exit(passage)
self.set_path()
if raffle == 9:
self.set_random_goal()
self.set_path()
else:
print 'ped aorigins',self.aorigins
atype = weighted_choice(self.aorigins)
#print atype
ahs = pick_with_type(atype)
print ahs
goals = find_n_closest_w_distance(ahs,150,atype)
#print goals
goal = choice(goals)
#print goal
self.set_goal(goal)
self.set_path()
return
RANDOM_MODE = True
if RANDOM_MODE == False:
if self.destweights[self.hotspot]==[]:
hs,gl = pick_first(self.origins)
else: hs, gl = pick_second(self.hotspot, self.destweights)
#print 'going random'
if hs == 2001 or hs == 2002 or hs == 2003 or hs == 2004:
self.exiting = True
self.get_closest_exit(hs)
self.set_path()
return
#print 'Im exiting'
self.hotspot = hs
self.set_goal(gl)
else:
raffle = randint(1,10) #Picking random walkers to exit
if raffle == 10:
self.exiting = True
passage = choice([2001,2002,2003,2004])
self.get_closest_exit(passage)
else: self.set_random_goal()
self.set_path()
if len(self.path) == 0:
return
self.speed = 6
#self.get_close_neighbors()
if len(self.close_neighbors) >0:
changeforce = self.velocity_change()
changenorm = normalize_vector(changeforce)
#change = multiply_with_scalar(changenorm,self.speed)
change = multiply_with_scalar(changenorm,1.5)
self.x = self.x+((self.velocity[0]+changenorm[0])/2)
self.y = self.y+((self.velocity[1]+changenorm[1])/2)
loc = [self.x,self.y]
self.velocity = change
#print change
#print "Got neighbors"
return
current_destination = self.path[self.destnumber]
dy = self.y-float(current_destination[1])
dx = self.x-float(current_destination[0])
dx = dx*-1
dy = dy*-1
angle = atan2(dy,dx)
angle = degrees(angle)
self.rotation = angle
self.heading = [cos(angle),sin(angle)]
vector_to_goal = [dx,dy]
distance_to_goal = sqrt((dx**2)+(dy**2))
if distance_to_goal > 0:
direction = [dx/distance_to_goal,dy/distance_to_goal]
else: direction = vector_to_goal
new_velocity = multiply_with_scalar(self.heading,self.speed)
self.x = self.x+((self.velocity[0]+direction[0])/2)
self.y = self.y+((self.velocity[1]+direction[1])/2)
self.velocity = direction
loc = [self.x,self.y]
#location = mesh_grid5.find_node(self.x,self.y)
#self.node = location
#print vdistsqr(loc,current_destination)
if vdistsqr(loc,current_destination) < 0.5:
#print self.destnumber
self.destnumber = self.destnumber +1
#self.draw()
else:
self.set_random_goal()
self.set_path()
#print "Checking again"
if self.path == None: print "waaat"
def update(self):
if len(self.path) > 0 and self.path != None:
if self.destnumber == len(self.path):
if self.exiting == True:
self.to_be_destroyed = True
return
del self.path[:]
#print self.hotspot
#print self.destweights
AHS_MODE = False
if AHS_MODE == True:
raffle = randint(1, 10) #Picking random walkers to exit
if raffle == 10:
self.exiting = True
passage = choice([2001, 2002, 2003, 2004])
self.get_closest_exit(passage)
self.set_path()
if raffle == 9:
self.set_random_goal()
self.set_path()
else:
print 'ped aorigins', self.aorigins
atype = weighted_choice(self.aorigins)
#print atype
ahs = pick_with_type(atype)
print ahs
goals = find_n_closest_w_distance(ahs, 150, atype)
#print goals
goal = choice(goals)
#print goal
self.set_goal(goal)
self.set_path()
return
RANDOM_MODE = True
if RANDOM_MODE == False:
if self.destweights[self.hotspot] == []:
hs, gl = pick_first(self.origins)
else:
hs, gl = pick_second(self.hotspot, self.destweights)
#print 'going random'
if hs == 2001 or hs == 2002 or hs == 2003 or hs == 2004:
self.exiting = True
self.get_closest_exit(hs)
self.set_path()
return
#print 'Im exiting'
self.hotspot = hs
self.set_goal(gl)
else:
raffle = randint(1, 10) #Picking random walkers to exit
if raffle == 10:
self.exiting = True
passage = choice([2001, 2002, 2003, 2004])
self.get_closest_exit(passage)
else:
self.set_random_goal()
self.set_path()
if len(self.path) == 0:
return
self.speed = 6
#self.get_close_neighbors()
if len(self.close_neighbors) > 0:
changeforce = self.velocity_change()
changenorm = normalize_vector(changeforce)
#change = multiply_with_scalar(changenorm,self.speed)
change = multiply_with_scalar(changenorm, 1.5)
self.x = self.x + ((self.velocity[0] + changenorm[0]) / 2)
self.y = self.y + ((self.velocity[1] + changenorm[1]) / 2)
loc = [self.x, self.y]
self.velocity = change
#print change
#print "Got neighbors"
return
current_destination = self.path[self.destnumber]
dy = self.y - float(current_destination[1])
dx = self.x - float(current_destination[0])
dx = dx * -1
dy = dy * -1
angle = atan2(dy, dx)
angle = degrees(angle)
self.rotation = angle
self.heading = [cos(angle), sin(angle)]
vector_to_goal = [dx, dy]
distance_to_goal = sqrt((dx**2) + (dy**2))
if distance_to_goal > 0:
direction = [dx / distance_to_goal, dy / distance_to_goal]
else:
direction = vector_to_goal
new_velocity = multiply_with_scalar(self.heading, self.speed)
self.x = self.x + ((self.velocity[0] + direction[0]) / 2)
self.y = self.y + ((self.velocity[1] + direction[1]) / 2)
self.velocity = direction
loc = [self.x, self.y]
#location = mesh_grid5.find_node(self.x,self.y)
#self.node = location
#print vdistsqr(loc,current_destination)
if vdistsqr(loc, current_destination) < 0.5:
#print self.destnumber
self.destnumber = self.destnumber + 1
#self.draw()
else:
self.set_random_goal()
self.set_path()
#print "Checking again"
if self.path == None: print "waaat"