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95 行
4.0 KiB
95 行
4.0 KiB
import unittest.mock as mock
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import pytest
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import numpy as np
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from mlagents.envs import UnityEnvironment, UnityEnvironmentException, UnityActionException, \
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BrainInfo
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from mlagents.envs.mock_communicator import MockCommunicator
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@mock.patch('mlagents.envs.UnityEnvironment.get_communicator')
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def test_handles_bad_filename(get_communicator):
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with pytest.raises(UnityEnvironmentException):
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UnityEnvironment(' ')
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@mock.patch('mlagents.envs.UnityEnvironment.executable_launcher')
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@mock.patch('mlagents.envs.UnityEnvironment.get_communicator')
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def test_initialization(mock_communicator, mock_launcher):
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mock_communicator.return_value = MockCommunicator(
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discrete_action=False, visual_inputs=0)
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env = UnityEnvironment(' ')
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with pytest.raises(UnityActionException):
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env.step([0])
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assert env.brain_names[0] == 'RealFakeBrain'
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env.close()
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@mock.patch('mlagents.envs.UnityEnvironment.executable_launcher')
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@mock.patch('mlagents.envs.UnityEnvironment.get_communicator')
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def test_reset(mock_communicator, mock_launcher):
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mock_communicator.return_value = MockCommunicator(
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discrete_action=False, visual_inputs=0)
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env = UnityEnvironment(' ')
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brain = env.brains['RealFakeBrain']
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brain_info = env.reset()
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env.close()
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assert not env.global_done
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assert isinstance(brain_info, dict)
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assert isinstance(brain_info['RealFakeBrain'], BrainInfo)
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assert isinstance(brain_info['RealFakeBrain'].visual_observations, list)
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assert isinstance(brain_info['RealFakeBrain'].vector_observations, np.ndarray)
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assert len(brain_info['RealFakeBrain'].visual_observations) == brain.number_visual_observations
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assert len(brain_info['RealFakeBrain'].vector_observations) == \
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len(brain_info['RealFakeBrain'].agents)
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assert len(brain_info['RealFakeBrain'].vector_observations[0]) == \
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brain.vector_observation_space_size * brain.num_stacked_vector_observations
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@mock.patch('mlagents.envs.UnityEnvironment.executable_launcher')
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@mock.patch('mlagents.envs.UnityEnvironment.get_communicator')
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def test_step(mock_communicator, mock_launcher):
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mock_communicator.return_value = MockCommunicator(
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discrete_action=False, visual_inputs=0)
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env = UnityEnvironment(' ')
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brain = env.brains['RealFakeBrain']
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brain_info = env.reset()
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brain_info = env.step([0] * brain.vector_action_space_size[0] * len(brain_info['RealFakeBrain'].agents))
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with pytest.raises(UnityActionException):
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env.step([0])
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brain_info = env.step([-1] * brain.vector_action_space_size[0] * len(brain_info['RealFakeBrain'].agents))
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with pytest.raises(UnityActionException):
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env.step([0] * brain.vector_action_space_size[0] * len(brain_info['RealFakeBrain'].agents))
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env.close()
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assert env.global_done
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assert isinstance(brain_info, dict)
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assert isinstance(brain_info['RealFakeBrain'], BrainInfo)
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assert isinstance(brain_info['RealFakeBrain'].visual_observations, list)
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assert isinstance(brain_info['RealFakeBrain'].vector_observations, np.ndarray)
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assert len(brain_info['RealFakeBrain'].visual_observations) == brain.number_visual_observations
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assert len(brain_info['RealFakeBrain'].vector_observations) == \
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len(brain_info['RealFakeBrain'].agents)
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assert len(brain_info['RealFakeBrain'].vector_observations[0]) == \
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brain.vector_observation_space_size * brain.num_stacked_vector_observations
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print("\n\n\n\n\n\n\n" + str(brain_info['RealFakeBrain'].local_done))
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assert not brain_info['RealFakeBrain'].local_done[0]
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assert brain_info['RealFakeBrain'].local_done[2]
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@mock.patch('mlagents.envs.UnityEnvironment.executable_launcher')
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@mock.patch('mlagents.envs.UnityEnvironment.get_communicator')
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def test_close(mock_communicator, mock_launcher):
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comm = MockCommunicator(
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discrete_action=False, visual_inputs=0)
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mock_communicator.return_value = comm
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env = UnityEnvironment(' ')
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assert env._loaded
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env.close()
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assert not env._loaded
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assert comm.has_been_closed
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if __name__ == '__main__':
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pytest.main()
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