feat(genome): uniform crossover for hypothesis genomes

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>

src/multi_swarm/genome/crossover.py

@@ -0,0 +1,33 @@
+from __future__ import annotations
+
+import random
+from typing import Any
+
+from .hypothesis import HypothesisAgentGenome, ModelTier
+
+
+def uniform_crossover(
+    p1: HypothesisAgentGenome,
+    p2: HypothesisAgentGenome,
+    rng: random.Random,
+) -> HypothesisAgentGenome:
+    """Per ogni campo, eredita da p1 (prob 0.5) o p2."""
+
+    def pick(field: str) -> Any:
+        return getattr(p1 if rng.random() < 0.5 else p2, field)
+
+    tier_pick: ModelTier = pick("model_tier")
+    feature_pick: list[str] = pick("feature_access")
+
+    payload: dict[str, Any] = {
+        "system_prompt": pick("system_prompt"),
+        "feature_access": list(feature_pick),
+        "temperature": pick("temperature"),
+        "top_p": pick("top_p"),
+        "model_tier": tier_pick.value,
+        "lookback_window": pick("lookback_window"),
+        "cognitive_style": pick("cognitive_style"),
+        "parent_ids": [p1.id, p2.id],
+        "generation": max(p1.generation, p2.generation) + 1,
+    }
+    return HypothesisAgentGenome.from_dict(payload)