Jun 6, 2018 · Decorator takes in a function, add functionality and returns it. Refer the below code which solves your issue: import re def my_dec(func_name): def sub_dec(a, b): if re.match(r'\d',str(a)) and re.match(r'\d',str(b)): return func_name(a,b) else: print("invalid input") return sub_dec @my_dec def add(a,b): return a + b print(add(2,3))

Discover how to create a Python decorator that validates function arguments and return types, ensuring robust and reliable code. Learn the fundamentals of decorators and how to apply them effectively.

Oct 8, 2020 · Instead we can write a decorator to validate the type of argument passed in a function which can be used across all code . For this , we will use function annotation . Here is the complete code...

I would like to define some generic decorators to check arguments before calling some functions. Something like: @checkArguments(types = ['int', 'float']) def myFunction(thisVarIsAnInt, thisVarIsAF...

Jun 15, 2021 · How to Create a Python Decorator. To create a decorator function in Python, I create an outer function that takes a function as an argument. There is also an inner function that wraps around the decorated function. Here is the syntax for a basic Python decorator:

Sep 21, 2024 · Python decorators provide a clean and efficient way to implement data validation without cluttering your code. This article will guide you through the concept of decorators and how to use them for data validation in Python functions.

Sep 3, 2024 · In this comprehensive guide, we‘ll cover how to create and use decorators to add functionality like logging, timing, validation, and more to your Python code. What Are Python Decorators? A Python decorator is a design pattern that allows a function or class method to be wrapped by another callable.

Mar 12, 2018 · Decorators in Python are nothing more than functions that take as arguments other functions. They appear with an @ in front of them right above a function (or a method within a class). Let's quickly recap how functions work in Python and how to use them.

A Python recipe on how to validate Python function parameter & return types with decorators. We look at how powerful Python can be with decorators.

Decorators are a powerful feature that enables you to modify function behavior without altering the source code, and they are widely used in Python frameworks and libraries. You will also learn to create a simple logging decorator and implement a more complex one for function validation.