Date Mon 12 March 2018 Tags python / decorator / class-decorator / class-based-decorator In previous article about class-based decorators for classes I gave you example how one can create decorator. In both cases, decorating adds functionality to existing functions. Before moving on, let’s have a look at a second example. @classmethod decorator. We know that when we work with objects in python, object_name() is shorthand for object_name.__call__(). Classes as decorators. The dataclass() decorator examines the class to find field s. A field is defined as class variable that has a type annotation. So, in the most basic sense, a decorator is a callable that returns a callable. The decorator works in an abstract style to extend or completely replace the behavior of an object. Because wrapper() is a regular Python function, the way a decorator modifies a function can change dynamically. Let’s start with basic example of decorator defined by class in example_1: Python class @decorators. The star() decorator factory takes an argument and returns a callable. However, wrapper() has a reference to the original say_whee() as func, and calls that function between the two calls to print(). Thanks to Python __call__ magic method, you can declare any decorator as a class, ... it’s just a way to fight the fact that a function can’t be a simple class attribute in Python. Python decorators are not an implementation of the decorator pattern. In fact, any object which implements the special __call__() method is termed callable. When we decorate a function with a class, that function becomes an instance of the class. The @property is a built-in decorator for the property() function in Python. What is Python Decorator? The @classmethod decorator can be applied on any method of a class. The decorator pattern itself can be implemented in Python, but it'a a pretty trivial thing because of the fact that Python is duck-typed. Decorators are a callable entity in Python that allows us to make modifications to functions or classes. Today post will be about syntactic sugar of python language-decorators.I will concentrate on class decorators. We can add functionality to the function by defining methods in the decorating class. Python decorators add functionality to functions and methods at definition time, they are not used to add functionality at run time. The dataclass decorator is used to automatically generate special methods to classes, including __str__() and __repr__().It helps reduce some boilerplate code. Getting back to Decorators. This decorator will allow us to call that method using the class name instead of the object. Functions and methods are called callable as they can be called.. Those decorators have similarities to inheritance between classes. The callable takes an argument (fn) which is a function that will be decorated.Also, the callable can access the argument (n) passed to the decorator factory.A class instance can be a callable when it implements the __call__ method. To Learn Python from Scratch – Read Python Tutorial. January 29, 2016 # python# classes# decorators. The dataclass decorator is located in the dataclasses module. Python Decorator Classes. It is used to give "special" functionality to certain methods to make them act as getters, setters, or deleters when we define properties in a class. Put simply: decorators wrap a function, modifying its behavior. In Python, decorators can be either functions or classes. Python dataclass decorator. Module-level decorators, classes, and functions¶ @dataclasses.dataclass (*, init=True, repr=True, eq=True, order=False, unsafe_hash=False, frozen=False) ¶ This function is a decorator that is used to add generated special method s to classes, as described below.. Therefore, you can make the __call__ method as a decorator. We can use classes as decorators if we pass the initial function to the object as parameter and modify the __call__() method to implement the new functionalities.