45 lines
1.9 KiB
Python
45 lines
1.9 KiB
Python
import pytest
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import os
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from katrain.core.ai import generate_ai_move, ai_rank_estimation
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from katrain.core.constants import AI_STRATEGIES_RECOMMENDED_ORDER, AI_STRATEGIES, OUTPUT_INFO
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from katrain.core.base_katrain import KaTrainBase
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from katrain.core.engine import KataGoEngine
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from katrain.core.game import Game
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from katrain.core.constants import AI_STRATEGIES
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class TestAI:
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def test_order(self):
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assert set(AI_STRATEGIES_RECOMMENDED_ORDER) == set(AI_STRATEGIES)
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@pytest.mark.skipif(os.environ.get("CI", "").lower() == "true", reason="GH actions has no OpenCL")
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def test_ai_strategies(self):
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katrain = KaTrainBase(force_package_config=True, debug_level=0)
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engine = KataGoEngine(katrain, katrain.config("engine"))
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game = Game(katrain, engine)
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n_rounds = 3
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for _ in range(n_rounds):
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for strategy in AI_STRATEGIES:
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settings = katrain.config(f"ai/{strategy}")
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move, played_node = generate_ai_move(game, strategy, settings)
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katrain.log(f"Testing strategy {strategy} -> {move}", OUTPUT_INFO)
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assert move.coords is not None
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assert played_node == game.current_node
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assert game.current_node.depth == len(AI_STRATEGIES) * n_rounds
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for strategy in AI_STRATEGIES:
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game = Game(katrain, engine)
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settings = katrain.config(f"ai/{strategy}")
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move, played_node = generate_ai_move(game, strategy, settings)
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katrain.log(f"Testing strategy on first move {strategy} -> {move}", OUTPUT_INFO)
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assert game.current_node.depth == 1
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def test_ai_rank_estimation(self):
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katrain = KaTrainBase(force_package_config=True, debug_level=0)
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for strategy in AI_STRATEGIES:
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settings = katrain.config(f"ai/{strategy}")
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rank = ai_rank_estimation(strategy, settings)
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assert -20 <= rank <= 9
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