Python裝飾器是一種在不修改原始函數(shù)代碼的情況下,為函數(shù)增加新功能的方法。使用裝飾器可以提高代碼的可讀性和可維護(hù)性。以下是一些使用裝飾器提高代碼可讀性的方法:
@staticmethod
、@classmethod
和@staticmethod
等內(nèi)置裝飾器來明確表示靜態(tài)方法、類方法和屬性裝飾器。class MyClass:
@staticmethod
def my_static_method():
# ...
def my_decorator(func):
"""
This decorator logs the function call and its result.
"""
def wrapper(*args, **kwargs):
print(f"Calling {func.__name__} with args {args} and kwargs {kwargs}")
result = func(*args, **kwargs)
print(f"{func.__name__} returned {result}")
return result
return wrapper
@my_decorator
def add(a, b):
"""
Add two numbers.
"""
return a + b
*args
和**kwargs
來處理這些參數(shù)。這樣可以使裝飾器更加靈活,同時(shí)保持代碼的可讀性。def my_decorator(prefix=""):
def decorator(func):
def wrapper(*args, **kwargs):
print(f"{prefix}{func.__name__} called with args {args} and kwargs {kwargs}")
result = func(*args, **kwargs)
print(f"{prefix}{func.__name__} returned {result}")
return result
return wrapper
return decorator
@my_decorator("LOG: ")
def add(a, b):
return a + b
def decorator_a(func):
def wrapper(*args, **kwargs):
print("Decorator A: Before function call")
result = func(*args, **kwargs)
print("Decorator A: After function call")
return result
return wrapper
def decorator_b(func):
def wrapper(*args, **kwargs):
print("Decorator B: Before function call")
result = func(*args, **kwargs)
print("Decorator B: After function call")
return result
return wrapper
@decorator_a
@decorator_b
def my_function():
print("Inside my_function")
遵循這些方法,可以幫助你編寫更具可讀性和可維護(hù)性的Python代碼。