Closed troom
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@ -249,7 +249,7 @@ class GoalRewardTRoom(MazeTask):
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def __init__(
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def __init__(
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self,
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self,
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scale: float,
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scale: float,
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goals: List[Tuple[float, float]] = [(2.0, -4.0)],
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goals: List[Tuple[float, float]] = [(2.0, -3.0)],
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) -> None:
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) -> None:
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super().__init__(scale)
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super().__init__(scale)
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self.goals = []
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self.goals = []
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@ -267,7 +267,6 @@ class GoalRewardTRoom(MazeTask):
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E, B, R = MazeCell.EMPTY, MazeCell.BLOCK, MazeCell.ROBOT
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E, B, R = MazeCell.EMPTY, MazeCell.BLOCK, MazeCell.ROBOT
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return [
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return [
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[B, B, B, B, B, B, B],
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[B, B, B, B, B, B, B],
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[B, E, E, E, E, E, B],
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[B, E, E, B, E, E, B],
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[B, E, E, B, E, E, B],
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[B, E, E, B, E, E, B],
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[B, E, E, B, E, E, B],
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[B, E, B, B, B, E, B],
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[B, E, B, B, B, E, B],
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@ -28,7 +28,7 @@ def test_point_maze(maze_id):
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@pytest.mark.parametrize("v", [0, 1])
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@pytest.mark.parametrize("v", [0, 1])
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def test_maze_args(v):
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def test_maze_args(v):
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env = gym.make(f"PointTRoom-v{v}", task_kwargs={"goals": [(-2.0, -4.0)]})
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env = gym.make(f"PointTRoom-v{v}", task_kwargs={"goals": [(-2.0, -3.0)]})
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assert env.reset().shape == (7,)
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assert env.reset().shape == (7,)
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s, _, _, _ = env.step(env.action_space.sample())
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s, _, _, _ = env.step(env.action_space.sample())
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assert s.shape == (7,)
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assert s.shape == (7,)
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