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36 lines
1.1 KiB
Python
36 lines
1.1 KiB
Python
"""Regression test for empty evaluation windows in chapter1 RL and LLM learning agents."""
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import sys
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from pathlib import Path
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import pytest
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pytest.importorskip("openai")
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pytest.importorskip("numpy")
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# Add chapter1/learning-from-experience to sys.path
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ch1_dir = (Path(__file__).resolve().parent.parent / "chapter1" / "learning-from-experience").resolve()
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if str(ch1_dir) not in sys.path:
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sys.path.insert(0, str(ch1_dir))
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from llm_agent import LLMAgent
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from rl_agent import QLearningAgent
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def test_rl_agent_evaluate_zero_episodes():
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agent = QLearningAgent()
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results = agent.evaluate(num_episodes=0)
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assert results["num_episodes"] == 0
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assert results["victory_rate"] == 0.0
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assert results["avg_reward"] == 0.0
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assert results["avg_length"] == 0.0
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assert results["std_reward"] == 0.0
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assert results["std_length"] == 0.0
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def test_llm_agent_evaluate_zero_episodes():
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agent = LLMAgent(api_key="dummy-key")
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results = agent.evaluate(num_episodes=0)
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assert results["num_episodes"] == 0
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assert results["victory_rate"] == 0.0
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assert results["avg_reward"] == 0.0
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assert results["avg_length"] == 0.0
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