import multiprocessing
import time
import math

def cpu_intensive_task():
    # CPU-intensive task with more complex calculations
    counter = 0
    while True:
        math.factorial(1000)  # Calculation of factorial which is CPU-intensive
        2 ** (counter % 10000)  # Exponentiation to avoid overflow by resetting occasionally
        counter += 1

def main():
    # Number of CPU cores
    num_cores = multiprocessing.cpu_count()
    print(f"Creating {num_cores} processes to maximize CPU usage.")

    # Create a process for each core
    processes = []
    for _ in range(num_cores):
        p = multiprocessing.Process(target=cpu_intensive_task)
        p.start()
        processes.append(p)

    # Allow processes to run for some time
    try:
        while True:
            time.sleep(10)  # Adjust time to keep the processes running
    except KeyboardInterrupt:
        print("Stopping CPU-intensive tasks.")
        for p in processes:
            p.terminate()  # Terminate each process
            p.join()  # Wait for processes to properly shut down

if __name__ == "__main__":
    main()