mirror of
https://github.com/Farama-Foundation/Gymnasium.git
synced 2025-08-26 16:27:11 +00:00
cb1a4836fb
* Copied over SB3 env checker * Added test from SB3 * Addition of MIT license attribution and black formatting * Removed SB3 dependence * Implemented rough, non-vectorized version of check_nan * Made some SB3 warnings a bit more "general" * Removed check for "unsupported" spaces, since Gym should support any space * Added action/observation checks from pettingzoo, referenced in file docstring * Removed copy of MIT license in file docstring * Re-added usage of the check_inf flag for helper functino * Changed test to be simple/classic example. Should add more tests * Added API compliance check to registered envs
36 lines
983 B
Python
36 lines
983 B
Python
import gym
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import numpy as np
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import pytest
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from gym.spaces import Box, Dict, Discrete
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from gym.utils.env_checker import check_env
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class ActionDictTestEnv(gym.Env):
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action_space = Dict({"position": Discrete(1), "velocity": Discrete(1)})
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observation_space = Box(low=-1.0, high=2.0, shape=(3,), dtype=np.float32)
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def step(self, action):
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observation = np.array([1.0, 1.5, 0.5])
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reward = 1
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done = True
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return observation, reward, done
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def reset(self):
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return np.array([1.0, 1.5, 0.5])
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def render(self, mode="human"):
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pass
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def test_check_env_dict_action():
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# Environment.step() only returns 3 values: obs, reward, done. Not info!
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test_env = ActionDictTestEnv()
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with pytest.raises(AssertionError) as errorinfo:
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check_env(env=test_env, warn=True)
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assert (
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str(errorinfo.value)
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== "The `step()` method must return four values: obs, reward, done, info"
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)
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