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implement limit and fix evaluation

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This commit is contained in:
Stefan Steininger
2024-01-29 14:05:47 +01:00
parent f1a36964df
commit bbf7ae880d
5 changed files with 37 additions and 24 deletions
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12
main.py
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@@ -80,11 +80,11 @@ def analyze_results(moves: dict):
def test_evaluation():
a = engine.ClassicMctsEngine
b = engine.RandomEngine
a = engine.BayesMctsEngine
b = engine.ClassicMctsEngine
limit = engine.Limit(time=0.5)
evaluator = simulation.Evaluation(a, b, limit)
results = evaluator.run(1)
evaluator = simulation.Evaluation(a, StockFishStrategy(), b, RandomStrategy(random.Random()), limit)
results = evaluator.run(2)
a_results = len(list(filter(lambda x: x.winner == simulation.Winner.Engine_A, results))) / len(results) * 100
b_results = len(list(filter(lambda x: x.winner == simulation.Winner.Engine_B, results))) / len(results) * 100
draws = len(list(filter(lambda x: x.winner == simulation.Winner.Draw, results))) / len(results) * 100
@@ -95,8 +95,8 @@ def test_evaluation():
def main():
# test_evaluation()
test_simulate()
test_evaluation()
#test_simulate()
# test_mcts()
# test_stockfish()
# test_stockfish_prob()