def test_sensitivity(self, map_data: MapData) -> None: base = map_data.bot.townhalls[0] reg_start = map_data.where_all(base.position_tuple)[0] reg_end = map_data.where_all(map_data.bot.enemy_start_locations[0].position)[0] p0 = reg_start.center p1 = reg_end.center arr = map_data.get_pyastar_grid() path_pure = map_data.pathfind(p0, p1, grid=arr) path_sensitive_5 = map_data.pathfind(p0, p1, grid=arr, sensitivity=5) path_sensitive_1 = map_data.pathfind(p0, p1, grid=arr, sensitivity=1) assert (len(path_sensitive_5) < len(path_pure)) assert (p in path_pure for p in path_sensitive_5) assert (path_sensitive_1 == path_pure)
def test_clean_air_grid_smoothing(self, map_data: MapData) -> None: default_weight = 2 base = map_data.bot.townhalls[0] reg_start = map_data.where_all(base.position_tuple)[0] reg_end = map_data.where_all(map_data.bot.enemy_start_locations[0].position)[0] p0 = Point2(reg_start.center) p1 = Point2(reg_end.center) grid = map_data.get_clean_air_grid(default_weight=default_weight) cost_points = [(87, 76), (108, 64), (97, 53)] cost_points = list(map(Point2, cost_points)) for cost_point in cost_points: grid = map_data.add_cost(position=cost_point, radius=7, grid=grid) path = map_data.pathfind(start=p0, goal=p1, grid=grid, smoothing=True) assert (len(path) < 50)
def test_pathing_influence(self, map_data: MapData, caplog: LogCaptureFixture) -> None: logger.info(map_data) base = map_data.bot.townhalls[0] reg_start = map_data.where_all(base.position_tuple)[0] reg_end = map_data.where_all(map_data.bot.enemy_start_locations[0].position)[0] p0 = reg_start.center p1 = reg_end.center pts = [] r = 10 for i in range(50): pts.append(get_random_point(0, 200, 0, 200)) arr = map_data.get_pyastar_grid() for p in pts: arr = map_data.add_cost(p, r, arr) path = map_data.pathfind(p0, p1, grid=arr) assert (path is not None)
def test_handle_illegal_values(self, map_data: MapData) -> None: base = map_data.bot.townhalls[0] reg_start = map_data.where_all(base.position_tuple)[0] assert (isinstance(reg_start, Region)), f"reg_start = {reg_start}, base = {base}, position_tuple = {base.position_tuple}" reg_end = map_data.where_all(map_data.bot.enemy_start_locations[0].position)[0] p0 = reg_start.center p1 = reg_end.center pts = [] r = 10 for i in range(50): pts.append(get_random_point(-500, -250, -500, -250)) arr = map_data.get_pyastar_grid() for p in pts: arr = map_data.add_cost(p, r, arr) path = map_data.pathfind(p0, p1, grid=arr) assert (path is not None), f"path = {path}"
# TEST ILLEGAL VALUES ISOLATED base = map_data.bot.townhalls[0] reg_start = map_data.where(base.position_tuple) reg_end = map_data.where(map_data.bot.enemy_start_locations[0].position) p0 = reg_start.center p1 = reg_end.center pts = [] r = 10 for i in range(50): pts.append(get_random_point(-500, -250, -500, -250)) arr = map_data.get_pyastar_grid() for p in pts: arr = map_data.add_cost(p, r, arr) path = map_data.pathfind(p0, p1, grid=arr) map_data.plot_influenced_path(start=p0, goal=p1, weight_array=arr) map_data.show() assert (path is not None), f"path = {path}" # TEST MINERAL WALL ON GOLDENWALL ISOLATED # start = (110, 95) # goal = (110, 40) # grid = map_data.get_pyastar_grid() # grid = map_data.add_cost((170, 140), r=20, arr=grid, weight=np.inf) # resource_blockers = [Point2(m.position) for m in map_data.mineral_fields if "rich" in m.name.lower()] # for pos in resource_blockers: # radius = 1 # map_data.log(pos) # grid = map_data.add_cost(p=pos, r=radius, arr=grid, weight=np.inf) # path = map_data.pathfind(start=start, goal=goal, grid=grid)