import random
from typing import Any, Dict, List

# Scientist AI Evolution Brain

class EvolutionBrain:
    """Scores, mutates, and selects hypotheses, evolving the knowledge base over time."""
    def __init__(self):
        self.history: List[Dict[str, Any]] = []

    def score(self, hypothesis: Dict[str, Any]) -> float:
        # Example: Score based on random fitness (replace with real logic)
        return random.uniform(0, 1)

    def mutate(self, hypothesis: Dict[str, Any]) -> Dict[str, Any]:
        # Example: Mutate by changing strategy
        mutated = hypothesis.copy()
        mutated['strategy'] = mutated.get('strategy', '') + '_mutated'
        return mutated

    def select(self, hypotheses: List[Dict[str, Any]], threshold: float = 0.5) -> List[Dict[str, Any]]:
        # Select hypotheses with score above threshold
        selected = [h for h in hypotheses if self.score(h) > threshold]
        self.history.extend(selected)
        return selected

    def evolve(self, hypotheses: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
        # Score, mutate, and select
        mutated = [self.mutate(h) for h in hypotheses]
        return self.select(mutated)

    def get_history(self) -> List[Dict[str, Any]]:
        return self.history
