Зміст курсу
Intermediate Python: Arguments, Scopes and Decorators
2. Arguments in Function
3. Function as an Argument
Intermediate Python: Arguments, Scopes and Decorators
Syntax
Decorator works by taking a function as an argument and then executing it within a wrapper function.
To apply a decorator, one can use the @ symbol followed by the decorator function's name, placed right above the function that needs to be modified. Here's an example:
In this example, both methods achieve the same outcome. The first method, using the @ symbol, is a more readable and concise way to apply decorators, often referred to as "syntactic sugar".
It's typical to use a nested function named wrapper within decorators.
Flexible Decorators: Accommodating Diverse Function Arguments
Functions often require a varying number of arguments.
To develop a decorator capable of being applied to functions with differing argument counts, it's effective to utilize *args and **kwargs in the wrapper() function.
Code Description
indicate and three functions avg_two, avg_three, and avg_many_kwargs , each decorated with indicate. Here's a brief description of each component:- Decorator
indicate(func)function:
- Adds functionality to print arguments and a separator before and after executing a function. - The
@indicatedecorator is applied to three functions:
-
-
wrapper takes arguments *args and **kwargs and pass them to the func call.- The
*args allows the wrapper() function to accept any number of positional arguments as a tuple.- The
**kwargs allows the wrapper() function to accept any number of keyword arguments as a dictionary.avg_two(a, b): Calculates and returns the average of two numbers, displaying additional information due to the decorator.-
avg_three(a, b, c): Computes the average of three numbers, with additional prints from the decorator.-
avg_many_kwargs(**kwargs): Finds the average of multiple numbers passed as keyword arguments, also showing argument details through the decorator.Все було зрозуміло?
Зміст курсу
Intermediate Python: Arguments, Scopes and Decorators
2. Arguments in Function
3. Function as an Argument
Intermediate Python: Arguments, Scopes and Decorators
Syntax
Decorator works by taking a function as an argument and then executing it within a wrapper function.
To apply a decorator, one can use the @ symbol followed by the decorator function's name, placed right above the function that needs to be modified. Here's an example:
In this example, both methods achieve the same outcome. The first method, using the @ symbol, is a more readable and concise way to apply decorators, often referred to as "syntactic sugar".
It's typical to use a nested function named wrapper within decorators.
Flexible Decorators: Accommodating Diverse Function Arguments
Functions often require a varying number of arguments.
To develop a decorator capable of being applied to functions with differing argument counts, it's effective to utilize *args and **kwargs in the wrapper() function.
Code Description
indicate and three functions avg_two, avg_three, and avg_many_kwargs , each decorated with indicate. Here's a brief description of each component:- Decorator
indicate(func)function:
- Adds functionality to print arguments and a separator before and after executing a function. - The
@indicatedecorator is applied to three functions:
-
-
wrapper takes arguments *args and **kwargs and pass them to the func call.- The
*args allows the wrapper() function to accept any number of positional arguments as a tuple.- The
**kwargs allows the wrapper() function to accept any number of keyword arguments as a dictionary.avg_two(a, b): Calculates and returns the average of two numbers, displaying additional information due to the decorator.-
avg_three(a, b, c): Computes the average of three numbers, with additional prints from the decorator.-
avg_many_kwargs(**kwargs): Finds the average of multiple numbers passed as keyword arguments, also showing argument details through the decorator.Все було зрозуміло?
