def regenerate(self, method=None, nAgents=0, env=None):
self.log("Regenerate size", self.regen_size_width,
self.regen_size_height)
if method is None or method == "Empty":
fnMethod = empty_rail_generator()
elif method == "Random Cell":
fnMethod = random_rail_generator(
cell_type_relative_proportion=[1] * 11)
else:
fnMethod = complex_rail_generator(nr_start_goal=nAgents,
nr_extra=20,
min_dist=12,
seed=int(time.time()))
if env is None:
self.env = RailEnv(
width=self.regen_size_width,
height=self.regen_size_height,
rail_generator=fnMethod,
number_of_agents=nAgents,
obs_builder_object=TreeObsForRailEnv(max_depth=2))
else:
self.env = env
self.env.reset(regenerate_rail=True)
self.fix_env()
self.set_env(self.env)
self.view.new_env()
self.redraw()
def test_render_env(save_new_images=False):
np.random.seed(100)
oEnv = RailEnv(width=10, height=10, rail_generator=empty_rail_generator(), number_of_agents=0,
obs_builder_object=TreeObsForRailEnv(max_depth=2))
oEnv.reset()
oEnv.rail.load_transition_map('env_data.tests', "test1.npy")
oRT = rt.RenderTool(oEnv, gl="PILSVG")
oRT.render_env(show=False)
checkFrozenImage(oRT, "basic-env.npz", resave=save_new_images)
oRT = rt.RenderTool(oEnv, gl="PIL")
oRT.render_env()
checkFrozenImage(oRT, "basic-env-PIL.npz", resave=save_new_images)
def __init__(self, env=None, sGL="PIL", env_filename="temp.pkl"):
""" Create an Editor MVC assembly around a railenv, or create one if None.
"""
if env is None:
env = RailEnv(width=10, height=10, rail_generator=empty_rail_generator(), number_of_agents=0,
obs_builder_object=TreeObsForRailEnv(max_depth=2))
env.reset()
self.editor = EditorModel(env, env_filename=env_filename)
self.editor.view = self.view = View(self.editor, sGL=sGL)
self.view.controller = self.editor.controller = self.controller = Controller(self.editor, self.view)
self.view.init_canvas()
self.view.init_widgets() # has to be done after controller
def test_empty_rail_generator():
n_agents = 1
x_dim = 5
y_dim = 10
# Check that a random level at with correct parameters is generated
env = RailEnv(width=x_dim, height=y_dim, rail_generator=empty_rail_generator(), number_of_agents=n_agents)
env.reset()
# Check the dimensions
assert env.rail.grid.shape == (y_dim, x_dim)
# Check that no grid was generated
assert np.count_nonzero(env.rail.grid) == 0
# Check that no agents where placed
assert env.get_num_agents() == 0
