Adriano
93d0a9e848
Aggiunge `uniform_crossover` che eredita ogni campo da p1 o p2 con probabilita' 0.5, popola `parent_ids=[p1.id, p2.id]` e incrementa la generazione. Deterministico dato lo stesso `random.Random` seed. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
import random
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from multi_swarm.genome.crossover import uniform_crossover
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from multi_swarm.genome.hypothesis import HypothesisAgentGenome, ModelTier
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def make(name: str) -> HypothesisAgentGenome:
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return HypothesisAgentGenome(
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system_prompt=f"prompt-{name}",
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feature_access=["close"] if name == "A" else ["close", "volume"],
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temperature=0.7 if name == "A" else 1.1,
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top_p=0.9,
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model_tier=ModelTier.C,
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lookback_window=100 if name == "A" else 300,
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cognitive_style="physicist" if name == "A" else "biologist",
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)
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def test_crossover_lineage() -> None:
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p1 = make("A")
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p2 = make("B")
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rng = random.Random(0)
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child = uniform_crossover(p1, p2, rng)
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assert sorted(child.parent_ids[-2:]) == sorted([p1.id, p2.id])
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assert child.generation == max(p1.generation, p2.generation) + 1
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def test_crossover_inherits_each_field_from_one_parent() -> None:
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p1 = make("A")
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p2 = make("B")
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rng = random.Random(0)
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child = uniform_crossover(p1, p2, rng)
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assert child.system_prompt in (p1.system_prompt, p2.system_prompt)
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assert child.temperature in (p1.temperature, p2.temperature)
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assert child.lookback_window in (p1.lookback_window, p2.lookback_window)
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assert child.cognitive_style in (p1.cognitive_style, p2.cognitive_style)
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def test_crossover_deterministic_with_same_seed() -> None:
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p1 = make("A")
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p2 = make("B")
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c1 = uniform_crossover(p1, p2, random.Random(42))
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c2 = uniform_crossover(p1, p2, random.Random(42))
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assert c1.to_dict() == c2.to_dict()
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