import functoolsdef my_decorator(func): @functools.wraps(func) def wrapper(*args, **kwargs): print("Before the function call") result = func(*args, **kwargs) print("After the function call") return result return wrapper@my_decoratordef say_hello(name): print(f"...
defcache_decorator(func):cache=dict()@functools.wraps(func)defwrapper(*args,**kwargs):key=(args,tuple(kwargs.items()))ifkey notincache:cache[key]=func(*args,**kwargs)returncache[key]returnwrapper @cache_decorator defexample_function(x,y):returnx+yprint(example_function(1,2))# 输出3,...
sleep_time=0):"""Decorator that retries the execution of a function if it raises a specific exception."""defdecorate(func):@wraps(func)defwrapper(*args,**kwargs):foriinrange(1,num_retries+1):try:returnfunc(*args,**kwargs)exceptexception_to_checkase:print(f"{func.__name__} raised ...
def decorator(original_function): cache = {} @functools.wraps(original_function) def wrapper(*args, **kwargs): key = str(args) + str(kwargs) if key not in cache or time.time() - cache[key][0] > ttl: cache[key] = (time.time(), original_function(*args, **kwargs)) return ca...
__cache: return CacheDecorator.__cache[self.func.__name__] # 如果缓存中没有对应的方法名,则进行计算,并将结果缓存 else: result = self.func(*args, **kwargs) CacheDecorator.__cache[self.func.__name__] = result return result def cost_time(func): """时间计算装饰器""" def wrapper(*...
print(slow_function(2)) 在这个例子中,timing_decorator装饰器记录了slow_function的执行时间,并在执行后打印出来。装饰器通过接收slow_function函数,并返回一个新的函数wrapper,实现了功能的扩展。 带参数的装饰器 有时候我们需要让装饰器接受额外的参数,以便根据不同的需求灵活调整装饰器的行为。为此,我们可以创建一...
First add a @cache decorator to your module: Python decorators.py import functools # ... def cache(func): """Keep a cache of previous function calls""" @functools.wraps(func) def wrapper_cache(*args, **kwargs): cache_key = args + tuple(kwargs.items()) if cache_key not in ...
@lru_cache缓存装饰器 @lru_cache def check(param1, param2, ...) # 检查用户设备类型,版本号等等 ... 4) try...excaption class ServerDebugHelper: @classmethod def debug(cls): def decorator(func): @wraps(func) def wrapper(*args, **kwargs): try: return func(*args, **kwargs) except...
@decorator def my_function(): print("Hello, World!") 在这个示例中,my_function 被 decorator 装饰器修饰,因此每次调用 my_function 时,实际执行的都是 wrapper 函数。 常见的装饰器示例 示例一:日志记录 日志记录是装饰器的一个常见应用场景。我们可以使用装饰器来记录函数的调用情况。
import timedef retry(max_attempts, delay): def decorator(func): def wrapper(*args, **kwargs): attempts = 0 while attempts < max_attempts: try: return func(*args, **kwargs) except Exception as e: print(f"Attempt {attempts + 1} failed. Retrying in {delay} se...