def load_map(map_name, origin):
my_map = GridMap(map_name, 5)
my_map._representation = np.loadtxt(open(
"test_maps/{}.txt".format(map_name), "rb"),
delimiter=",")
my_map._representation = my_map._representation
# TODO we consider no obstacles in this case, we now it works with obstacles
my_map._path_planner_representation = my_map._representation
my_map.origin = np.array(origin, dtype=np.int)
# Agent position equal to agent origin
my_map._agent_position = my_map._from_matrix_to_relative(my_map.origin)
my_map._set_goal_top_left()
return my_map
def my_map():
my_map = GridMap('Agent1', 5)
my_map._representation = np.loadtxt(open("test_maps/01_test_map.txt",
"rb"),
delimiter=",")
my_map._update_distances()
my_map._origin = np.array([4, 14], dtype=np.int)
my_map._agent_position = np.array([0, 0], dtype=np.int)
return my_map
def load_map(map_name, origin):
my_map = GridMap('Agent1', 5)
my_map._representation = np.loadtxt(open(
"test_maps/{}.txt".format(map_name), "rb"),
delimiter=",")
my_map._path_planner_representation = my_map._representation
my_map._origin = np.array(origin, dtype=np.int)
my_map._set_goal_top_left()
return my_map