diff --git a/examples/Simple_Realistic_Railway_Generator.py b/examples/Simple_Realistic_Railway_Generator.py
index 41506ba96c5333c4beae1e29f8dcc2c35446a7a8..b57272731afc75b7be8b72c88f6a990f4573207c 100644
--- a/examples/Simple_Realistic_Railway_Generator.py
+++ b/examples/Simple_Realistic_Railway_Generator.py
@@ -194,7 +194,7 @@ class Grid_Map_Op:
mirror(liTrans[0]), bAddRemove, remove_deadends=not bDeadend)
-def realistic_rail_generator(num_cities=5,
+def realistic_rail_generator(max_num_cities=5,
city_size=10,
allowed_rotation_angles=[0, 90],
max_number_of_station_tracks=4,
@@ -206,7 +206,7 @@ def realistic_rail_generator(num_cities=5,
"""
This is a level generator which generates a realistic rail configurations
- :param num_cities: Number of city node
+ :param max_num_cities: Number of city node
:param city_size: Length of city measure in cells
:param allowed_rotation_angles: Rotate the city (around center)
:param max_number_of_station_tracks: max number of tracks per station
@@ -226,7 +226,7 @@ def realistic_rail_generator(num_cities=5,
X = int(np.floor(max(1, height - 2 * intern_max_number_of_station_tracks - 1) / intern_city_size))
Y = int(np.floor(max(1, width - 2 * intern_max_number_of_station_tracks - 1) / intern_city_size))
- max_num_cities = min(num_cities, X * Y)
+ max_num_cities = min(max_num_cities, X * Y)
cities_at = np.random.choice(X * Y, max_num_cities, False)
cities_at = np.sort(cities_at)
@@ -581,7 +581,7 @@ for itrials in range(100):
np.random.seed(int(time.time()))
env = RailEnv(width=40 + np.random.choice(100),
height=40 + np.random.choice(100),
- rail_generator=realistic_rail_generator(num_cities=2 + np.random.choice(10),
+ rail_generator=realistic_rail_generator(max_num_cities=2 + np.random.choice(10),
city_size=10 + np.random.choice(10),
allowed_rotation_angles=[-90, -45, 0, 45, 90],
max_number_of_station_tracks=np.random.choice(4) + 4,
diff --git a/tests/test_flatland_envs_sparse_rail_generator.py b/tests/test_flatland_envs_sparse_rail_generator.py
index b94de82c4f7bdcda355316e65350c2b8b56a4ebe..416efea5c909a5c89a9e6b8d782e18a1dd4bae62 100644
--- a/tests/test_flatland_envs_sparse_rail_generator.py
+++ b/tests/test_flatland_envs_sparse_rail_generator.py
@@ -13,14 +13,10 @@ from flatland.utils.rendertools import RenderTool
def test_sparse_rail_generator():
env = RailEnv(width=50,
height=50,
- rail_generator=sparse_rail_generator(max_num_cities=10, # Number of cities in map
- num_intersections=10, # Number of interesections in map
- num_trainstations=50, # Number of possible start/targets on map
- min_node_dist=6, # Minimal distance of nodes
- node_radius=3, # Proximity of stations to city center
- num_neighb=3, # Number of connections to other cities
- seed=5, # Random seed
- grid_mode=False # Ordered distribution of nodes
+ rail_generator=sparse_rail_generator(max_num_cities=10,
+ max_rails_between_cities=3,
+ seed=5,
+ grid_mode=False
),
schedule_generator=sparse_schedule_generator(),
number_of_agents=10,
@@ -734,14 +730,7 @@ def test_sparse_rail_generator_deterministic():
env = RailEnv(width=25,
height=30,
rail_generator=sparse_rail_generator(max_num_cities=5,
- # Number of cities in map (where train stations are)
- num_intersections=4,
- # Number of intersections (no start / target)
- num_trainstations=25, # Number of possible start/targets on map
- min_node_dist=6, # Minimal distance of nodes
- node_radius=3, # Proximity of stations to city center
- num_neighb=3,
- # Number of connections to other cities/intersections
+ max_rails_between_cities=3,
seed=215545, # Random seed
grid_mode=True
),
@@ -1509,40 +1498,25 @@ def test_rail_env_action_required_info():
1. / 4.: 0.25} # Slow freight train
env_always_action = RailEnv(width=50,
height=50,
- rail_generator=sparse_rail_generator(max_num_cities=10, # Number of cities in map
- num_intersections=10,
- # Number of interesections in map
- num_trainstations=50,
- # Number of possible start/targets on map
- min_node_dist=6, # Minimal distance of nodes
- node_radius=3,
- # Proximity of stations to city center
- num_neighb=3,
- # Number of connections to other cities
- seed=5, # Random seed
- grid_mode=False # Ordered distribution of nodes
- ),
+ rail_generator=sparse_rail_generator(
+ max_num_cities=10,
+ max_rails_between_cities=3,
+ seed=5, # Random seed
+ grid_mode=False # Ordered distribution of nodes
+ ),
schedule_generator=sparse_schedule_generator(speed_ration_map),
number_of_agents=10,
obs_builder_object=GlobalObsForRailEnv())
np.random.seed(0)
env_only_if_action_required = RailEnv(width=50,
height=50,
- rail_generator=sparse_rail_generator(max_num_cities=10, # Number of cities in map
- num_intersections=10,
- # Number of interesections in map
- num_trainstations=50,
- # Number of possible start/targets on map
- min_node_dist=6,
- # Minimal distance of nodes
- node_radius=3,
- # Proximity of stations to city center
- num_neighb=3,
- # Number of connections to other cities
- seed=5, # Random seed
- grid_mode=False
- # Ordered distribution of nodes
- ),
+ rail_generator=sparse_rail_generator(
+ max_num_cities=10,
+ max_rails_between_cities=3,
+ seed=5, # Random seed
+ grid_mode=False
+ # Ordered distribution of nodes
+ ),
schedule_generator=sparse_schedule_generator(speed_ration_map),
number_of_agents=10,
obs_builder_object=GlobalObsForRailEnv())
@@ -1592,18 +1566,10 @@ def test_rail_env_malfunction_speed_info():
}
env = RailEnv(width=50,
height=50,
- rail_generator=sparse_rail_generator(max_num_cities=10, # Number of cities in map
- num_intersections=10,
- # Number of interesections in map
- num_trainstations=50,
- # Number of possible start/targets on map
- min_node_dist=6, # Minimal distance of nodes
- node_radius=3,
- # Proximity of stations to city center
- num_neighb=3,
- # Number of connections to other cities
- seed=5, # Random seed
- grid_mode=False # Ordered distribution of nodes
+ rail_generator=sparse_rail_generator(max_num_cities=10,
+ max_rails_between_cities=3,
+ seed=5,
+ grid_mode=False
),
schedule_generator=sparse_schedule_generator(),
number_of_agents=10,
@@ -1640,14 +1606,10 @@ def test_sparse_generator_with_too_man_cities_does_not_break_down():
RailEnv(width=50,
height=50,
rail_generator=sparse_rail_generator(
- max_num_cities=100, # Number of cities in map
- num_intersections=10, # Number of interesections in map
- num_trainstations=50, # Number of possible start/targets on map
- min_node_dist=6, # Minimal distance of nodes
- node_radius=3, # Proximity of stations to city center
- num_neighb=3, # Number of connections to other cities
- seed=5, # Random seed
- grid_mode=False # Ordered distribution of nodes
+ max_num_cities=100,
+ max_rails_between_cities=3,
+ seed=5,
+ grid_mode=False
),
schedule_generator=sparse_schedule_generator(),
number_of_agents=10,
diff --git a/tests/test_flatland_malfunction.py b/tests/test_flatland_malfunction.py
index 16f993a8373e8fb059c9b21af8e19fc06d53c517..905cb7213c7cd1eb2cd4af602657e059511b2c84 100644
--- a/tests/test_flatland_malfunction.py
+++ b/tests/test_flatland_malfunction.py
@@ -2,7 +2,6 @@ import random
from typing import Dict, List
import numpy as np
-from test_utils import Replay, ReplayConfig, run_replay_config, set_penalties_for_replay
from flatland.core.env_observation_builder import ObservationBuilder
from flatland.core.grid.grid4 import Grid4TransitionsEnum
@@ -10,6 +9,7 @@ from flatland.core.grid.grid4_utils import get_new_position
from flatland.envs.rail_env import RailEnv, RailEnvActions
from flatland.envs.rail_generators import complex_rail_generator, sparse_rail_generator
from flatland.envs.schedule_generators import complex_schedule_generator, sparse_schedule_generator
+from test_utils import Replay, ReplayConfig, run_replay_config, set_penalties_for_replay
class SingleAgentNavigationObs(ObservationBuilder):
@@ -166,15 +166,8 @@ def test_initial_malfunction():
env = RailEnv(width=25,
height=30,
rail_generator=sparse_rail_generator(max_num_cities=5,
- # Number of cities in map (where train stations are)
- num_intersections=4,
- # Number of intersections (no start / target)
- num_trainstations=25, # Number of possible start/targets on map
- min_node_dist=6, # Minimal distance of nodes
- node_radius=3, # Proximity of stations to city center
- num_neighb=3,
- # Number of connections to other cities/intersections
- seed=215545, # Random seed
+ max_rails_between_cities=3,
+ seed=215545,
grid_mode=True
),
schedule_generator=sparse_schedule_generator(speed_ration_map),
@@ -248,16 +241,9 @@ def test_initial_malfunction_stop_moving():
env = RailEnv(width=25,
height=30,
rail_generator=sparse_rail_generator(max_num_cities=5,
- # Number of cities in map (where train stations are)
- num_intersections=4,
- # Number of intersections (no start / target)
- num_trainstations=25, # Number of possible start/targets on map
- min_node_dist=6, # Minimal distance of nodes
- node_radius=3, # Proximity of stations to city center
- num_neighb=3,
- # Number of connections to other cities/intersections
- seed=215545, # Random seed
- grid_mode=True,
+ max_rails_between_cities=3,
+ seed=215545,
+ grid_mode=True
),
schedule_generator=sparse_schedule_generator(speed_ration_map),
number_of_agents=1,
@@ -340,16 +326,9 @@ def test_initial_malfunction_do_nothing():
env = RailEnv(width=25,
height=30,
rail_generator=sparse_rail_generator(max_num_cities=5,
- # Number of cities in map (where train stations are)
- num_intersections=4,
- # Number of intersections (no start / target)
- num_trainstations=25, # Number of possible start/targets on map
- min_node_dist=6, # Minimal distance of nodes
- node_radius=3, # Proximity of stations to city center
- num_neighb=3,
- # Number of connections to other cities/intersections
- seed=215545, # Random seed
- grid_mode=True,
+ max_rails_between_cities=3,
+ seed=215545,
+ grid_mode=True
),
schedule_generator=sparse_schedule_generator(speed_ration_map),
number_of_agents=1,
@@ -431,17 +410,9 @@ def test_initial_nextmalfunction_not_below_zero():
env = RailEnv(width=25,
height=30,
rail_generator=sparse_rail_generator(max_num_cities=5,
- # Number of cities in map (where train stations are)
- num_intersections=4,
- # Number of intersections (no start / target)
- num_trainstations=25, # Number of possible start/targets on map
- min_node_dist=6, # Minimal distance of nodes
- node_radius=3, # Proximity of stations to city center
- num_neighb=3,
- # Number of connections to other cities/intersections
- seed=215545, # Random seed
- grid_mode=True,
- enhance_intersection=False
+ max_rails_between_cities=3,
+ seed=215545,
+ grid_mode=True
),
schedule_generator=sparse_schedule_generator(speed_ration_map),
number_of_agents=1,
diff --git a/tests/test_global_observation.py b/tests/test_global_observation.py
index 7f8f62c0f028a9a679ba100ce749841ea96ba1ce..fe3e9ec1c2d4a98e386e108030de1cd725c213c7 100644
--- a/tests/test_global_observation.py
+++ b/tests/test_global_observation.py
@@ -24,17 +24,9 @@ def test_get_global_observation():
env = RailEnv(width=50,
height=50,
rail_generator=sparse_rail_generator(max_num_cities=25,
- # Number of cities in map (where train stations are)
- num_intersections=10,
- # Number of intersections (no start / target)
- num_trainstations=50, # Number of possible start/targets on map
- min_node_dist=3, # Minimal distance of nodes
- node_radius=4, # Proximity of stations to city center
- num_neighb=4,
- # Number of connections to other cities/intersections
- seed=15, # Random seed
- grid_mode=True,
- enhance_intersection=False
+ max_rails_between_cities=4,
+ seed=15,
+ grid_mode=True
),
schedule_generator=sparse_schedule_generator(speed_ration_map),
number_of_agents=number_of_agents, stochastic_data=stochastic_data, # Malfunction data generator
@@ -61,4 +53,3 @@ def test_get_global_observation():
assert obs_agents_state_1 == (number_of_agents - 1)
assert obs_agents_state_2 == number_of_agents
assert obs_agents_state_3 == number_of_agents
-