The Ultimate Guide to Python Programming With Python 3.10 - @wraps Decorator

The video tutorial explains how decorators in Python can affect the metadata of functions, specifically their docstrings. It highlights the issue where the metadata of a function is overwritten by a processor function when decorators are used. To address this, the functools.wraps decorator is introduced, which helps preserve the original function's metadata by copying it to the processor function. The tutorial concludes with a demonstration of using functools.wraps to maintain the function's docstring and name.

What is the primary role of a decorator in Python?

• To add functionality to an existing function

• To change the syntax of a function

• To execute a function multiple times

• To compile Python code

What happens to a function's docstring when a decorator is applied without using functools.wraps?

• It is duplicated

• It is preserved as is

• It is removed completely

• It is overwritten by the processor function

Which module provides the wraps decorator to preserve function metadata?

• os

• collections

• sys

• functools

What does the wraps decorator copy from the original function to the processor?

• The function's arguments

• Only the function's name

• Only the function's docstring

• Both the function's name and docstring

Why is it important to preserve a function's metadata when using decorators?

• To prevent the function from being modified

• To allow the function to be used in other programming languages

• To maintain the function's original documentation and identity

• To ensure the function runs faster