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Sleeping
| from typing import Optional, Any | |
| class NeuromorphicCache: | |
| def __init__(self, size: str): | |
| self.size = size | |
| async def get(self, key: str) -> Any: | |
| # Implementation would go here | |
| pass | |
| class QuantumInspiredCache: | |
| def __init__(self, size: str): | |
| self.size = size | |
| async def get(self, key: str) -> Any: | |
| # Implementation would go here | |
| pass | |
| class DistributedCache: | |
| def __init__(self, size: str): | |
| self.size = size | |
| async def get(self, key: str) -> Any: | |
| # Implementation would go here | |
| pass | |
| class CacheCoherencyManager: | |
| def determine_optimal_cache(self, key: str) -> int: | |
| # Implementation would go here | |
| return 1 # Default to L1 cache | |
| class MemoryHierarchy: | |
| def __init__(self): | |
| self.l1_cache = NeuromorphicCache(size="64GB") | |
| self.l2_cache = QuantumInspiredCache(size="256GB") | |
| self.l3_cache = DistributedCache(size="1TB") | |
| self.cache_manager = CacheCoherencyManager() | |
| async def access_memory(self, key: str, level: Optional[int] = None) -> Any: | |
| if level == 1: | |
| return await self.l1_cache.get(key) | |
| elif level == 2: | |
| return await self.l2_cache.get(key) | |
| elif level == 3: | |
| return await self.l3_cache.get(key) | |
| return await self._smart_cache_access(key) | |
| async def _smart_cache_access(self, key: str) -> Any: | |
| cache_decision = self.cache_manager.determine_optimal_cache(key) | |
| if cache_decision == 1: | |
| return await self.l1_cache.get(key) | |
| elif cache_decision == 2: | |
| return await self.l2_cache.get(key) | |
| elif cache_decision == 3: | |
| return await self.l3_cache.get(key) | |
| else: | |
| raise ValueError(f"Invalid cache level: {cache_decision}") | |