Fix gym warning
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@ -268,7 +268,7 @@ class MazeEnv(gym.Env):
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def _get_obs_space(self) -> gym.spaces.Box:
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def _get_obs_space(self) -> gym.spaces.Box:
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shape = self._get_obs().shape
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shape = self._get_obs().shape
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high = np.inf * np.ones(shape)
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high = np.inf * np.ones(shape, dtype=np.float32)
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low = -high
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low = -high
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# Set velocity limits
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# Set velocity limits
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wrapped_obs_space = self.wrapped_env.observation_space
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wrapped_obs_space = self.wrapped_env.observation_space
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@ -1,15 +1,20 @@
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from abc import ABC, abstractmethod
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from abc import ABC, abstractmethod
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from typing import Dict, List, Tuple, Type
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from typing import Dict, List, NamedTuple, Type
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import numpy as np
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import numpy as np
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from mujoco_maze.maze_env_utils import MazeCell
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from mujoco_maze.maze_env_utils import MazeCell
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Rgb = Tuple[float, float, float]
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RED = (0.7, 0.1, 0.1)
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class Rgb(NamedTuple):
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GREEN = (0.1, 0.7, 0.1)
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red: float
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BLUE = (0.1, 0.1, 0.7)
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green: float
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blue: float
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RED = Rgb(0.7, 0.1, 0.1)
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GREEN = Rgb(0.1, 0.7, 0.1)
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BLUE = Rgb(0.1, 0.1, 0.7)
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class MazeGoal:
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class MazeGoal:
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@ -31,7 +31,7 @@ class PointEnv(AgentModel):
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def __init__(self, file_path: Optional[str] = None):
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def __init__(self, file_path: Optional[str] = None):
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super().__init__(file_path, 1)
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super().__init__(file_path, 1)
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high = np.inf * np.ones(6)
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high = np.inf * np.ones(6, dtype=np.float32)
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high[3:] = self.VELOCITY_LIMITS
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high[3:] = self.VELOCITY_LIMITS
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high[self.ORI_IND] = np.pi
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high[self.ORI_IND] = np.pi
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low = -high
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low = -high
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