From 5f5c34d6df037820b91f7fcf7088038eb521e4d5 Mon Sep 17 00:00:00 2001
From: Dipam Chakraborty <dipam@aicrowd.com>
Date: Mon, 25 Oct 2021 15:54:16 +0530
Subject: [PATCH] fix tests
---
flatland/envs/line_generators.py | 5 ++++-
tests/test_action_plan.py | 2 +-
tests/test_flatland_envs_sparse_rail_generator.py | 4 ++--
tests/test_flatland_malfunction.py | 4 ++--
tests/test_multi_speed.py | 2 +-
tests/test_utils.py | 3 +++
6 files changed, 13 insertions(+), 7 deletions(-)
diff --git a/flatland/envs/line_generators.py b/flatland/envs/line_generators.py
index 7f50abb2..6c81f599 100644
--- a/flatland/envs/line_generators.py
+++ b/flatland/envs/line_generators.py
@@ -74,7 +74,10 @@ class SparseLineGen(BaseLineGen):
if rail.check_path_exists(start[0], orientation, target[0]):
feasible_orientations.append(orientation)
- return np_random.choice(feasible_orientations)
+ if len(feasible_orientations) > 0:
+ return np_random.choice(feasible_orientations)
+ else:
+ return 0
def generate(self, rail: GridTransitionMap, num_agents: int, hints: dict, num_resets: int,
np_random: RandomState) -> Line:
diff --git a/tests/test_action_plan.py b/tests/test_action_plan.py
index 9a2fe113..88f07d28 100644
--- a/tests/test_action_plan.py
+++ b/tests/test_action_plan.py
@@ -37,7 +37,7 @@ def test_action_plan(rendering: bool = False):
print("[{}] {} -> {}".format(handle, agent.initial_position, agent.target))
# Perform DO_NOTHING actions until all trains get to READY_TO_DEPART
- for _ in range(max([agent.earliest_departure for agent in env.agents])):
+ for _ in range(max([agent.earliest_departure for agent in env.agents]) + 1):
env.step({}) # DO_NOTHING for all agents
chosen_path_dict = {0: [TrainrunWaypoint(scheduled_at=0, waypoint=Waypoint(position=(3, 0), direction=3)),
diff --git a/tests/test_flatland_envs_sparse_rail_generator.py b/tests/test_flatland_envs_sparse_rail_generator.py
index 4da868f4..bb4ad9c6 100644
--- a/tests/test_flatland_envs_sparse_rail_generator.py
+++ b/tests/test_flatland_envs_sparse_rail_generator.py
@@ -500,8 +500,8 @@ def test_sparse_rail_generator():
for a in range(env.get_num_agents()):
s0 = Vec2d.get_manhattan_distance(env.agents[a].initial_position, (0, 0))
s1 = Vec2d.get_chebyshev_distance(env.agents[a].initial_position, (0, 0))
- assert s0 == 46, "actual={}".format(s0)
- assert s1 == 26, "actual={}".format(s1)
+ assert s0 == 36, "actual={}".format(s0)
+ assert s1 == 27, "actual={}".format(s1)
def test_sparse_rail_generator_deterministic():
diff --git a/tests/test_flatland_malfunction.py b/tests/test_flatland_malfunction.py
index 16eba370..d1598d0d 100644
--- a/tests/test_flatland_malfunction.py
+++ b/tests/test_flatland_malfunction.py
@@ -151,8 +151,8 @@ def test_malfunction_process_statistically():
env.agents[0].target = (0, 0)
# Next line only for test generation
agent_malfunction_list = [[] for i in range(2)]
- agent_malfunction_list = [[0, 0, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 3, 2, 1, 0],
- [0, 4, 3, 2, 1, 0, 0, 0, 0, 0, 4, 3, 2, 1, 0, 4, 3, 2, 1, 0]]
+ agent_malfunction_list = [[0, 0, 0, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 3, 2, 1],
+ [0, 0, 4, 3, 2, 1, 0, 0, 0, 0, 0, 4, 3, 2, 1, 0, 4, 3, 2, 1]]
for step in range(20):
action_dict: Dict[int, RailEnvActions] = {}
diff --git a/tests/test_multi_speed.py b/tests/test_multi_speed.py
index f8090681..d8f72d36 100644
--- a/tests/test_multi_speed.py
+++ b/tests/test_multi_speed.py
@@ -396,7 +396,7 @@ def test_multispeed_actions_malfunction_no_blocking():
env.reset()
# Perform DO_NOTHING actions until all trains get to READY_TO_DEPART
- for _ in range(max([agent.earliest_departure for agent in env.agents])):
+ for _ in range(max([agent.earliest_departure for agent in env.agents]) + 1):
env.step({}) # DO_NOTHING for all agents
env._max_episode_steps = 10000
diff --git a/tests/test_utils.py b/tests/test_utils.py
index fdae8f5c..b6b69d15 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -115,6 +115,8 @@ def run_replay_config(env: RailEnv, test_configs: List[ReplayConfig], rendering:
for a, test_config in enumerate(test_configs):
agent: EnvAgent = env.agents[a]
replay = test_config.replay[step]
+ # if not agent.position == replay.position:
+ # import pdb; pdb.set_trace()
_assert(a, agent.position, replay.position, 'position')
_assert(a, agent.direction, replay.direction, 'direction')
if replay.state is not None:
@@ -140,6 +142,7 @@ def run_replay_config(env: RailEnv, test_configs: List[ReplayConfig], rendering:
_assert(a, agent.malfunction_handler.malfunction_down_counter, replay.malfunction, 'malfunction')
print(step)
_, rewards_dict, _, info_dict = env.step(action_dict)
+ # import pdb; pdb.set_trace()
if rendering:
renderer.render_env(show=True, show_observations=True)
--
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