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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}")
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