def test_step_with_reset():
env = TMazeEnv()
obs = env.reset()
assert obs.shape == (4,)
assert env.row_pos == env.col_pos == 4
assert (obs == [1, 0, 1, 0]).all()
obs, reward, done, _ = env.step(0)
assert (obs == [1, 0, 1, 0]).all()
assert reward == -0.4
assert not done
def test_reward_flip():
env = TMazeEnv(n_trials=10, reward_flip_mean=5, reward_flip_range=3)
for _ in range(10):
obs = env.reset()
for i in range(10):
for _ in range(3):
assert (obs == [1, 0, 1, 0]).all()
obs, reward, done, _ = env.step(1)
assert not done
assert reward == 0
for _ in range(3):
assert (obs == [0, 1, 0, 0]).all()
assert reward == 0
obs, reward, done, _ = env.step(2)
assert not done
assert (obs[:-1] == [0, 1, 1]).all()
assert reward == obs[-1]
assert reward in {0.2, 1.0}
if i < 2:
assert reward == 1.0
elif i > 8:
assert reward == 0.2
obs, reward, done, _ = env.step(2)
assert reward == 0
assert (obs == [1, 0, 1, 0]).all()
assert env.row_pos == env.col_pos == 4
assert done
def test_default_initialization():
env = TMazeEnv()
assert env.hall_len == 3
assert env.n_trials == 100
assert env.maze.shape == (6, 9)
print(env.maze)
assert (
env.maze
== [
[1, 1, 1, 1, 1, 1, 1, 1, 1],
[1, 0, 0, 0, 0, 0, 0, 0, 1],
[1, 1, 1, 1, 0, 1, 1, 1, 1],
[1, 1, 1, 1, 0, 1, 1, 1, 1],
[1, 1, 1, 1, 0, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 1, 1],
]
).all()
def test_init_reward_side():
env = TMazeEnv(init_reward_side=0)
obs = env.reset()
for _ in range(3):
assert (obs == [1, 0, 1, 0]).all()
obs, reward, done, _ = env.step(1)
assert not done
assert reward == 0
for _ in range(3):
assert (obs == [0, 1, 0, 0]).all()
assert reward == 0
obs, reward, done, _ = env.step(0)
assert not done
assert (obs == [1, 1, 0, 1]).all()
assert reward == 1
obs, reward, done, _ = env.step(1)
assert reward == 0
assert (obs == [1, 0, 1, 0]).all()
assert env.row_pos == env.col_pos == 4
assert not done
def test_full_trial():
env = TMazeEnv()
obs = env.reset()
for _ in range(3):
assert (obs == [1, 0, 1, 0]).all()
obs, reward, done, _ = env.step(1)
assert not done
assert reward == 0
for _ in range(3):
assert (obs == [0, 1, 0, 0]).all()
assert reward == 0
obs, reward, done, _ = env.step(2)
assert not done
assert (obs == [0, 1, 1, 1]).all()
assert reward == 1
obs, reward, done, _ = env.step(2)
assert reward == 0
assert (obs == [1, 0, 1, 0]).all()
assert env.row_pos == env.col_pos == 4
assert not done
def test_low_reward():
env = TMazeEnv()
obs = env.reset()
for _ in range(3):
assert (obs == [1, 0, 1, 0]).all()
obs, reward, done, _ = env.step(1)
assert not done
assert reward == 0
for _ in range(3):
assert (obs == [0, 1, 0, 0]).all()
assert reward == 0
obs, reward, done, _ = env.step(0)
assert not done
assert (obs == [1, 1, 0, 0.2]).all()
assert reward == 0.2
obs, reward, done, _ = env.step(1)
assert reward == 0
assert (obs == [1, 0, 1, 0]).all()
assert env.row_pos == env.col_pos == 4
assert not done
def test_render():
env = TMazeEnv()
with pytest.raises(NotImplementedError):
env.render()
def test_step_without_reset():
env = TMazeEnv()
with pytest.raises(AssertionError):
env.step(1)