Introduction to lib-decorators

The lib-decorators library is a powerful tool for enhancing and optimizing your Python code using decorators. Decorators are a key feature in Python that allows the modification and enhancement of functions and methods. This guide provides an extensive introduction to lib-decorators, covering various APIs with code snippets and a full-fledged application example.

APIs and Code Snippets

@cache

Caches the result of a function to avoid redundant calculations.

from lib_decorators import cache

@cache
def compute_heavy(x):
    # Expensive computation here
    return x * x

@retry

Retries a function multiple times if it raises exceptions.

from lib_decorators import retry

@retry(tries=3)
def unstable_function():
    # Code that might fail here
    return some_unstable_operation()

@timeout

Limits the execution time of a function.

from lib_decorators import timeout

@timeout(seconds=5)
def long_running_function():
    # Code that might take a long time to finish
    return some_long_operation()

@log

Logs the execution details of a function.

from lib_decorators import log

@log
def my_function():
    # Function logic here
    return result

Full Application Example

Combining multiple decorators in a single application.

from lib_decorators import cache, retry, timeout, log

@cache
@retry(tries=5)
@timeout(seconds=3)
@log
def complex_operation(a, b):
    # Complex operation logic
    result = a + b
    print(f"Operation result: {result}")
    return result

if __name__ == "__main__":
    complex_operation(4, 5)

Using these decorators, you can dramatically improve the reliability and performance of your applications.

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