2cc34fb72b
Closes #914 Additional changes: - Deprecate python below 11 - Remove 3rd party and throughput tests. This simplifies install and test pipeline - Remove gym compatibility and shimmy - Format with 3.11 conventions. In particular, add `zip(..., strict=True/False)` where possible Since the additional tests and gym were complicating the CI pipeline (flaky and dist-dependent), it didn't make sense to work on fixing the current tests in this PR to then just delete them in the next one. So this PR changes the build and removes these tests at the same time.
56 lines
1.6 KiB
Python
56 lines
1.6 KiB
Python
from collections.abc import Callable
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from typing import Any
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import gymnasium as gym
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import numpy as np
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from tianshou.env.worker import EnvWorker
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class DummyEnvWorker(EnvWorker):
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"""Dummy worker used in sequential vector environments."""
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def __init__(self, env_fn: Callable[[], gym.Env]) -> None:
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self.env = env_fn()
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super().__init__(env_fn)
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def get_env_attr(self, key: str) -> Any:
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return getattr(self.env, key)
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def set_env_attr(self, key: str, value: Any) -> None:
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setattr(self.env.unwrapped, key, value)
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def reset(self, **kwargs: Any) -> tuple[np.ndarray, dict]:
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if "seed" in kwargs:
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super().seed(kwargs["seed"])
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return self.env.reset(**kwargs)
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@staticmethod
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def wait( # type: ignore
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workers: list["DummyEnvWorker"],
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wait_num: int,
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timeout: float | None = None,
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) -> list["DummyEnvWorker"]:
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# Sequential EnvWorker objects are always ready
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return workers
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def send(self, action: np.ndarray | None, **kwargs: Any) -> None:
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if action is None:
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self.result = self.env.reset(**kwargs)
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else:
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self.result = self.env.step(action) # type: ignore
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def seed(self, seed: int | None = None) -> list[int] | None:
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super().seed(seed)
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try:
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return self.env.seed(seed) # type: ignore
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except (AttributeError, NotImplementedError):
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self.env.reset(seed=seed)
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return [seed] # type: ignore
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def render(self, **kwargs: Any) -> Any:
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return self.env.render(**kwargs)
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def close_env(self) -> None:
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self.env.close()
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