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Decorators with Parameters | Decorators
Intermediate Python Techniques
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Intermediate Python Techniques

Intermediate Python Techniques

1. Packing and Unpacking
2. Arguments in Function
3. Function as an Argument
4. Variable Scope
5. Decorators

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Decorators with Parameters

Decorators with parameters in Python are an advanced feature that allow you to pass additional arguments to your decorators, enhancing their flexibility. Here's a practical example to illustrate this concept:

Basic Decorator Structure

First, let's start with a basic decorator structure:

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def simple_decorator(func): def wrapper(): print("Something is happening before the function is called.") func() print("Something is happening after the function is called.") return wrapper @simple_decorator def say_hello(): print("Hello!") say_hello()
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In this example, simple_decorator is a regular decorator that modifies the behavior of the say_hello function.

Decorator with Parameters

Now, let's create a decorator that accepts parameters:

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def decorator_with_args(arg1, arg2): def decorator(func): def wrapper(*args, **kwargs): print(f"Decorator args: {arg1}, {arg2}") return func(*args, **kwargs) return wrapper return decorator @decorator_with_args("hello", 42) def print_numbers(a, b): print(a + b) print_numbers(10, 5)
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In this example, decorator_with_args is a decorator factory that accepts parameters (arg1, arg2) and returns the actual decorator (decorator). The wrapper function is the one that modifies the behavior of the decorated function (print_numbers).

Explanation

  • decorator_with_args is called with its arguments ("hello", 42);
  • It returns the decorator function;
  • decorator takes a function print_numbers and returns the wrapper function;
  • wrapper has access to both the arguments of decorator_with_args and the arguments of print_numbers.

This structure allows for greater flexibility and reusability of decorators, as you can pass custom arguments to modify their behavior.

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