What is arc caching in Python and how can I implement it?

What is arc caching in Python and how can I implement it?

ARC (Adaptive Replacement Cache) is a caching algorithm that balances between recently used and frequently used data. In Python, you can implement it using a custom class that maintains two lists: one for recently used items and another for frequently used items.

Can you provide a simple code example of ARC caching?

Sure! Here's a basic implementation:

class ARC:
    def __init__(self, capacity):
        self.capacity = capacity
        self.t1 = []  # Recently used
        self.t2 = []  # Frequently used
        self.b1 = []  # Recently evicted
        self.b2 = []  # Frequently evicted

    def access(self, item):
        if item in self.t1:
            self.t1.remove(item)
            self.t1.append(item)
        elif item in self.t2:
            self.t2.remove(item)
            self.t1.append(item)
        else:
            if len(self.t1) + len(self.t2) < self.capacity:
                self.t1.append(item)
            else:
                self.evict()
                self.t1.append(item)

    def evict(self):
        # Eviction logic here
        pass

What are the advantages of using ARC over other caching algorithms?

ARC adapts to changing access patterns, making it more efficient than traditional LRU or LFU caches. It reduces cache misses and improves performance in scenarios with varying workloads.