def set_boundaries(self, world):
boundary_list = []
landmark_size = 1
edge = 1 + landmark_size
num_landmarks = int(edge * 2 / landmark_size)
for x_pos in [-edge, edge]:
for i in range(num_landmarks):
l = Landmark()
l.state.p_pos = np.array([x_pos, -1 + i * landmark_size])
boundary_list.append(l)
for y_pos in [-edge, edge]:
for i in range(num_landmarks):
l = Landmark()
l.state.p_pos = np.array([-1 + i * landmark_size, y_pos])
boundary_list.append(l)
for i, l in enumerate(boundary_list):
l.name = 'boundary %d' % i
l.collide == True
l.movable = False
l.boundary = True
l.color = np.array([0.75, 0.75, 0.75])
l.size = landmark_size
l.state.p_vel = np.zeros(world.dim_p)
return boundary_list
def set_boundaries(self, world):
boundary_list = []
landmark_size = 1
edge = 1 + landmark_size
num_landmarks = int(edge * 2 / landmark_size)
for x_pos in [-edge, edge]:
for i in range(num_landmarks):
l = Landmark()
l.state.p_pos = np.array([x_pos, -1 + i * landmark_size])
boundary_list.append(l)
for y_pos in [-edge, edge]:
for i in range(num_landmarks):
l = Landmark()
l.state.p_pos = np.array([-1 + i * landmark_size, y_pos])
boundary_list.append(l)
for i, l in enumerate(boundary_list):
l.name = 'boundary %d' % i
l.collide = True
l.movable = False
l.boundary = True
l.color = np.array([0.75, 0.75, 0.75])
l.size = landmark_size
l.state.p_vel = np.zeros(world.dim_p)
return boundary_list
def create_noise_field(world_dim):
noise_field = Landmark()
noise_field.name = 'noise field'
noise_field.collide = False
noise_field.movable = False
noise_field.boundary = False
noise_field.size = ENV_NOISE_DISTANCE
noise_field.state.p_pos = np.random.uniform(-1, 1, world_dim)
noise_field.state.p_vel = np.zeros(world_dim)
noise_field.color = np.array([0.3,0.3,0.3])
return noise_field
