Source code for flatland.env_generation.env_generator

from flatland.envs.line_generators import sparse_line_generator
from flatland.envs.malfunction_generators import ParamMalfunctionGen, MalfunctionParameters
from flatland.envs.observations import TreeObsForRailEnv
from flatland.envs.predictions import ShortestPathPredictorForRailEnv
from flatland.envs.rail_env import RailEnv
from flatland.envs.rail_generators import sparse_rail_generator


# defaults from Flatland 3 Round 2 Test_0, see https://flatland.aicrowd.com/challenges/flatland3/envconfig.html
[docs] def env_generator(n_agents=7, x_dim=30, y_dim=30, n_cities=2, max_rail_pairs_in_city=4, grid_mode=False, max_rails_between_cities=2, malfunction_duration_min=20, malfunction_duration_max=50, malfunction_interval=540, speed_ratios=None, seed=42, obs_builder_object=None) -> RailEnv: if speed_ratios is None: speed_ratios = {1.0: 0.25, 0.5: 0.25, 0.33: 0.25, 0.25: 0.25} if obs_builder_object is None: obs_builder_object = TreeObsForRailEnv(max_depth=3, predictor=ShortestPathPredictorForRailEnv(max_depth=50)) env = RailEnv( width=x_dim, height=y_dim, rail_generator=sparse_rail_generator( max_num_cities=n_cities, seed=seed, grid_mode=grid_mode, max_rails_between_cities=max_rails_between_cities, max_rail_pairs_in_city=max_rail_pairs_in_city ), malfunction_generator=ParamMalfunctionGen(MalfunctionParameters( min_duration=malfunction_duration_min, max_duration=malfunction_duration_max, malfunction_rate=1.0 / malfunction_interval)), line_generator=sparse_line_generator(speed_ratio_map=speed_ratios, seed=seed), number_of_agents=n_agents, obs_builder_object=obs_builder_object, record_steps=True ) env.reset(random_seed=seed) return env