Multi threaded evaluation of lazy generator in Python 3 x for brute forcing

In this tutorial, we will explore the concept of multi-threaded evaluation of lazy generators in Python for the purpose of brute-forcing. Lazy evaluation is a technique where the evaluation of an expression is delayed until its value is actually needed. This can be particularly useful in scenarios where you want to generate values on-the-fly without precomputing the entire sequence.
Brute-forcing, on the other hand, is an approach to problem-solving where you systematically try all possible solutions until you find the correct one. By combining lazy evaluation with multi-threading, we can enhance the efficiency of our brute-force algorithms.
Make sure you have Python 3.x installed on your system.
Let's start by creating a lazy generator function. We will implement a simple generator that generates an infinite sequence of numbers, and we'll use lazy evaluation to generate values only when needed.
In this example, the lazy_generator function uses the yield statement to produce a sequence of numbers indefinitely. The generator is lazy because it only generates the next number when requested.
In this function, we use the ThreadPoolExecutor to create a pool of worker threads. Each worker thread runs the worker function, which calls the lazy generator to obtain the next value and appends it to the result list.
Now, let's use our lazy generator and multi-threaded evaluation function in a brute-force scenario. For simplicity, we'll brute-force a function that checks if a number is prime.
In this example, brute_force_prime generates prime numbers using our lazy generator and multi-threaded evaluation. The is_prime function is used to filter out non-prime numbers.