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58 lines
2.3 KiB
Python
58 lines
2.3 KiB
Python
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"""A passive environment checker wrapper for an environment's observation and action space along with the reset, step and render functions."""
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from typing import Tuple, Union
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import gym
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from gym.core import ActType, ObsType
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from gym.utils.passive_env_checker import (
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check_action_space,
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check_observation_space,
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passive_env_render_check,
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passive_env_reset_check,
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passive_env_step_check,
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)
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class PassiveEnvChecker(gym.Wrapper):
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"""A passive environment checker wrapper that surrounds the step, reset and render functions to check they follow the gym API."""
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def __init__(self, env):
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"""Initialises the wrapper with the environments, run the observation and action space tests."""
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super().__init__(env)
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assert hasattr(
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env, "action_space"
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), "You must specify a action space. https://www.gymlibrary.ml/content/environment_creation/"
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check_observation_space(env.action_space)
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assert hasattr(
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env, "observation_space"
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), "You must specify an observation space. https://www.gymlibrary.ml/content/environment_creation/"
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check_action_space(env.observation_space)
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self.checked_reset = False
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self.checked_step = False
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self.checked_render = False
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def step(self, action: ActType) -> Tuple[ObsType, float, bool, dict]:
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"""Steps through the environment that on the first call will run the `passive_env_step_check`."""
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if self.checked_step is False:
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self.checked_step = True
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return passive_env_step_check(self.env, action)
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else:
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return self.env.step(action)
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def reset(self, **kwargs) -> Union[ObsType, Tuple[ObsType, dict]]:
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"""Resets the environment that on the first call will run the `passive_env_reset_check`."""
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if self.checked_reset is False:
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self.checked_reset = True
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return passive_env_reset_check(self.env, **kwargs)
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else:
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return self.env.reset(**kwargs)
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def render(self, **kwargs):
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"""Renders the environment that on the first call will run the `passive_env_render_check`."""
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if self.checked_render is False:
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self.checked_render = True
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return passive_env_render_check(self.env, **kwargs)
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else:
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return self.env.render(**kwargs)
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