mirror of
https://github.com/Farama-Foundation/Gymnasium.git
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c6a97e17ee
* Initial version of vectorized environments * Raise an exception in the main process if child process raises an exception * Add list of exposed functions in vector module * Use deepcopy instead of np.copy * Add documentation for vector utils * Add tests for copy in AsyncVectorEnv * Add example in documentation for batch_space * Add cloudpickle dependency in setup.py * Fix __del__ in VectorEnv * Check if all observation spaces are equal in AsyncVectorEnv * Check if all observation spaces are equal in SyncVectorEnv * Fix spaces non equality in SyncVectorEnv for Python 2 * Handle None parameter in create_empty_array * Fix check_observation_space with spaces equality * Raise an exception when operations are out of order in AsyncVectorEnv * Add version requirement for cloudpickle * Use a state instead of binary flags in AsyncVectorEnv * Use numpy.zeros when initializing observations in vectorized environments * Remove poll from public API in AsyncVectorEnv * Remove close_extras from VectorEnv * Add test between AsyncVectorEnv and SyncVectorEnv * Remove close in check_observation_space * Add documentation for seed and close * Refactor exceptions for AsyncVectorEnv * Close pipes if the environment raises an error * Add tests for out of order operations * Change default argument in create_empty_array to np.zeros * Add get_attr and set_attr methods to VectorEnv * Improve consistency in SyncVectorEnv
44 lines
1.6 KiB
Python
44 lines
1.6 KiB
Python
import pytest
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import numpy as np
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from gym.vector.tests.utils import make_env
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from gym.vector.async_vector_env import AsyncVectorEnv
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from gym.vector.sync_vector_env import SyncVectorEnv
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@pytest.mark.parametrize('shared_memory', [True, False])
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def test_vector_env_equal(shared_memory):
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env_fns = [make_env('CubeCrash-v0', i) for i in range(4)]
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num_steps = 100
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try:
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async_env = AsyncVectorEnv(env_fns, shared_memory=shared_memory)
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sync_env = SyncVectorEnv(env_fns)
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async_env.seed(0)
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sync_env.seed(0)
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assert async_env.num_envs == sync_env.num_envs
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assert async_env.observation_space == sync_env.observation_space
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assert async_env.single_observation_space == sync_env.single_observation_space
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assert async_env.action_space == sync_env.action_space
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assert async_env.single_action_space == sync_env.single_action_space
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async_observations = async_env.reset()
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sync_observations = sync_env.reset()
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assert np.all(async_observations == sync_observations)
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for _ in range(num_steps):
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actions = async_env.action_space.sample()
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assert actions in sync_env.action_space
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async_observations, async_rewards, async_dones, _ = async_env.step(actions)
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sync_observations, sync_rewards, sync_dones, _ = sync_env.step(actions)
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assert np.all(async_observations == sync_observations)
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assert np.all(async_rewards == sync_rewards)
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assert np.all(async_dones == sync_dones)
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finally:
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async_env.close()
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sync_env.close()
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