def __init__(self,parent_window, pos, batch=None):
super(Tank, self).__init__(Tank.image, pos[0], pos[1], batch=batch)
self.scale = 0.5
self.radius = Tank.image.width/2 * self.scale
self.pos = _Vector(pos[0], pos[1], True)
self.ltrack = 0
self.rtrack = 0
self.rrate = 30
self.speed = 20
self.look_vector = _Vector(0, 10)
self.parent_window = parent_window
self.score = 0
def __init__(self, parent_window, pos, batch=None):
super(Food, self).__init__(Food.image, pos[0], pos[1], batch=batch)
self.scale = 1
self.radius = Food.image.width / 2 * self.scale
self.pos = _Vector(pos[0], pos[1], True)
self.x, self.y = self.pos
self.parent_window = parent_window
self.eaten = False
def __init__(self,parent_window, pos, batch=None):
super(Food, self).__init__(Food.image, pos[0], pos[1], batch=batch)
self.scale = 1
self.radius = Food.image.width/2 * self.scale
self.pos = _Vector(pos[0], pos[1], True)
self.x, self.y = self.pos
self.parent_window = parent_window
self.eaten = False
def __init__(self, parent_window, pos, move_vec, batch=None):
super(Ant, self).__init__(Ant.image, pos[0], pos[1], batch=batch)
self.parent_window = parent_window
self.scale = 0.4
self.radius = Ant.image.width/2 * self.scale
self.look_vector = move_vec
self.pos = _Vector(pos[0], pos[1], True)
self.speed = 5
self.rrate = 40
self.neural_net = _NeuralNet(4, 2, [6])
self.score = 0
def __init__(self, parent_window, pos, move_vec, batch=None):
super(Ant, self).__init__(Ant.image, pos[0], pos[1], batch=batch)
self.parent_window = parent_window
self.scale = 0.4
self.radius = Ant.image.width/2 * self.scale
self.look_vector = move_vec
self.pos = _Vector(pos[0], pos[1], True)
self.speed = 5
self.rrate = 40
self.neural_net = _NeuralNet(4, 2, [6])
self.score = 0
