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def scalar_adapter(venv_cls): | |
class ScalarEnv: | |
def __init__(self, **kwargs) -> None: | |
self._venv = venv_cls(num_envs=1, **kwargs) | |
self.observation_space = self._venv.observation_space | |
self.action_space = self._venv.action_space | |
self.metadata = self._venv.metadata | |
self.spec = self._venv.spec | |
def _process_obs(self, obs): | |
if isinstance(obs, np.ndarray): | |
return obs[0] | |
else: | |
scalar_obs = {} | |
for k, v in obs.items(): | |
scalar_obs[k] = v[0] | |
return scalar_obs | |
def reset(self): | |
obs = self._venv.reset() | |
return self._process_obs(obs) | |
def step(self, action): | |
if isinstance(self.action_space, gym.spaces.Discrete): | |
action = np.array([action], dtype=self._venv.action_space.dtype) | |
else: | |
action = np.expand_dims(action, axis=0) | |
obs, rews, dones, infos = self._venv.step(action) | |
return self._process_obs(obs), rews[0], dones[0], infos[0] | |
def render(self, mode='human'): | |
result = self._venv.render(mode=mode) | |
if mode == 'human': | |
return result | |
else: | |
return result[0] | |
def close(self): | |
return self._venv.close() | |
def __repr__(self): | |
return f'<ScalarEnv venv={self._venv}>' | |
def __getattr__(self, name): | |
return getattr(self._venv, name) | |
return ScalarEnv |
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