def seek_path(self, wrld):
search = perform_aStar(wrld, (self.x, self.y),
self.get_exit_location(wrld), False)
if search == None:
return
self.move(search[0], search[1])
def monsterInLineOfSight(wrld, character):
monsters = findAll(wrld, 2)
surrounds = [(1,1),(1,-1),(-1,1),(1,0),(-1,0),(0,1),(0,-1),(-1,-1)]
if len(monsters) == 0:
return 0
pos = (character.x, character.y)
nearest_monster = findNearestEntity(wrld, pos, monsters)
distance = perform_aStar(wrld, pos, nearest_monster, True)
if len(distance) == 0:
return 0
for i in surrounds:
x, y = character.x, character.y
for j in range(8):
x += i[0]
y += i[1]
if __inWorld(wrld, x, y) is False:
continue
if wrld.wall_at(x, y) is True:
continue
if wrld.monsters_at(x, y) is not None:
return 1
return 0
def a_star(self, wrld, dest=None):
dest = dest if dest is not None else self.get_exit_location(wrld)
search = perform_aStar(wrld, (self.x, self.y), dest, False)
if len(search) == 0:
self.move(0, 1)
return
self.move(search[0], search[1])
def doesPathToExitExist(wrld, character): exit = findAll(wrld, 0) pos = (character.x, character.y) nearest_exit = findNearestEntity(wrld, pos, exit) distance = len(perform_aStar(wrld, pos, nearest_exit, True)) if distance == 0: return 1 return 0
def do(self, wrld):
monsters = findAll(wrld, 2)
distance = 0
nearest_monster = "nothing"
if len(monsters) > 0:
monster = findNearestEntity(wrld, (self.x,self.y), monsters)
distance = len(perform_aStar(wrld, (self.x,self.y), (monster[0], monster[1]), True))
nearest_monster = wrld.monsters_at(monster[0], monster[1])[0]
# print(distance)
if distance <= 2 and distance > 0 and nearest_monster.name != "aggressive":
self.state = "qlearn"
# print(self.state)
if self.state == "bomb":
if self.bomb_locations[self.location_index - 1][2] is True:
self.place_bomb()
self.state = "dodge"
elif wrld.monsters_at(7, 8) or len(monsters) == 0:
self.location_index = len(self.bomb_locations) - 1
self.state = "go"
elif self.state == "dodge":
x, y = self.x, self.y
if self.location_index <= len(self.bomb_locations):
if self.bomb_locations[self.location_index - 1][2] is False:
#self.location_index = 5
self.state = "go"
return
if can_move(wrld, (x,y), self.dxdy) is True:
if self.x >= wrld.width() - 1:
self.move(-1, -1)
else:
self.move(1, self.dxdy[1])
else:
if self.location_index - 1 == 10:
self.move(-1, 1)
else:
self.move(1, -1)
self.state = "wait"
elif self.state == "go":
goal = self.bomb_locations[self.location_index]
goal = (goal[0], goal[1])
self.a_star(wrld, goal)
if goal[0] == self.x and goal[1] == self.y:
self.state = "bomb"
self.location_index += 1
elif self.state == "wait":
if foundBomb(wrld) is not True:
if foundExplosion(wrld) is not True:
self.state = "go"
else:
self.move(0,0)
else:
if (distance > 3 or distance == 0) and self.qLearning is True:
if self.location_index != 0:
self.location_index -= 1
self.state = "go"
self.qLearning = False
return
self.qLearning = True
self.perform_qLearning(wrld)