{"version":"1.0","type":"rich","title":"Memoize Decorator in Python","description":"This example demonstrates a memoize decorator in Python that caches function results to optimize repeated calls. The code defines a `memoize` function using a dictionary as a cache, and a `wrapper` function that checks for cached results before computing new ones, handling missing keys via exception. It applies the decorator to a recursive Fibonacci function (`fib`), showing how the cache reduces redundant recursive computations. The implementation relies on Python’s built-in exception handling and dictionary API, with no external libraries.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"","width":960,"height":500,"cache_age":3600}