Python缓存装饰器从参数中获取陈旧的值

from functools import lru_cache
import time

@lru_cache(maxsize=128)
def expensive_function(param):
    # 模拟耗时操作
    time.sleep(2)
    return param * 2

# 使用缓存
print(expensive_function(10))  # 第一次调用会耗时
print(expensive_function(10))  # 第二次调用会立即返回缓存的结果

def custom_cache(timeout=300):
    def decorator(func):
        cached_results = {}
        last_updated = {}

        def wrapper(*args, **kwargs):
            key = str(args) + str(kwargs)
            if key in cached_results and time.time() - last_updated[key] < timeout:
                return cached_results[key]
            result = func(*args, **kwargs)
            cached_results[key] = result
            last_updated[key] = time.time()
            return result
        return wrapper
    return decorator

@custom_cache(timeout=10)
def another_expensive_function(param):
    time.sleep(2)
    return param * 3

# 使用自定义缓存
print(another_expensive_function(5))  # 第一次调用会耗时
print(another_expensive_function(5))  # 第二次调用会立即返回缓存的结果