wehub-resource-sync
85 lines
2.6 KiB
Python
85 lines
2.6 KiB
Python
import unittest
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from ray.rllib.algorithms.ppo import PPOConfig
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from ray.rllib.policy.policy import PolicySpec
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class TestCheckMultiAgent(unittest.TestCase):
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def test_multi_agent_invalid_args(self):
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self.assertRaisesRegex(
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TypeError,
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"got an unexpected keyword argument 'wrong_key'",
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lambda: (
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PPOConfig().multi_agent(
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policies={"p0"}, policies_to_train=["p0"], wrong_key=1
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)
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),
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)
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def test_multi_agent_bad_policy_ids(self):
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self.assertRaisesRegex(
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ValueError,
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"PolicyID `1` not valid!",
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lambda: (
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PPOConfig().multi_agent(
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policies={1, "good_id"},
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policy_mapping_fn=lambda agent_id, episode, worker, **kw: "good_id",
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)
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),
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)
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def test_multi_agent_invalid_sub_values(self):
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self.assertRaisesRegex(
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ValueError,
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"config.multi_agent\\(count_steps_by=..\\) must be one of",
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lambda: (PPOConfig().multi_agent(count_steps_by="invalid_value")),
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)
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def test_multi_agent_invalid_override_configs(self):
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self.assertRaisesRegex(
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KeyError,
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"Invalid property name invdli for config class PPOConfig",
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lambda: (
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PPOConfig().multi_agent(
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policies={
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"p0": PolicySpec(config=PPOConfig.overrides(invdli=42.0)),
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}
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)
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),
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)
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self.assertRaisesRegex(
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KeyError,
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"Invalid property name invdli for config class PPOConfig",
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lambda: (
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PPOConfig().multi_agent(
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policies={
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"p0": PolicySpec(config=PPOConfig.overrides(invdli=42.0)),
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}
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)
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),
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)
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def test_setting_multiagent_key_in_config_should_fail(self):
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config = PPOConfig().multi_agent(
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policies={
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"pol1": (None, None, None, None),
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"pol2": (None, None, None, PPOConfig.overrides(lr=0.001)),
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}
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)
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def set_ma(config):
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# not ok: cannot set "multiagent" key in AlgorithmConfig anymore.
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config["multiagent"] = {"policies": {"pol1", "pol2"}}
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self.assertRaisesRegex(
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AttributeError,
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"Cannot set `multiagent` key in an AlgorithmConfig!",
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lambda: set_ma(config),
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)
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if __name__ == "__main__":
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import pytest
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pytest.main()
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