일일이 주사위를 던지는 건 귀찮지 않나요? 파이썬을 시켜서 주사위를 던져봅시다. 더 효과적으로 CPU에게 일을 하도록 시키기 위해, 멀티프로세싱을 사용해 보자구요!

Dice_Simulator_with_Multiprocessing.py

import random
import time
import os
from multiprocessing import Process, Queue


def roll_the_dice(id, start, end, result):
    counters = [0, 0, 0, 0, 0, 0]
    for _seq in range(start, end):
        value = random.randint(0, 5)
        counters[value] = counters[value] + 1
    result.put(counters)

def print_result(count, dataset, start_time, finish_time):
    dice_number = 1
    print("~~ Python with Multiprocessing ~~")
    print(f"** << 주사위 던지기 시뮬레이션 결과 ({format(count, ',')} 번 실행) >> **\n")
    for _seq in range(0, len(dataset)):
        dice_hit_qty    = dataset[_seq]
        dice_hit_ratio  = round((dice_hit_qty / count) * 100, 3)
        print(f"[{dice_number}]번은 {format(dice_hit_qty,','):>10s}번({dice_hit_ratio}%) 나왔습니다.")
        dice_number += 1
    print(f"작동 시간 {round(finish_time - start_time, 4)} 초")

if __name__ == "__main__":

    start_time = time.time()
    
    COUNT = 1000000
    multiprocess_qty = 6
    processPool = []
    
    result = Queue()

    for _seq in range(0, multiprocess_qty):
        process = Process(target=roll_the_dice, args=(_seq, 1, COUNT, result))
        processPool.append(process)
        process.start()

    for process in processPool:
        process.join()
        

    result.put('STOP')

    total_counters = [0, 0, 0, 0, 0, 0]

    while True:
        temp = result.get()
        if temp == 'STOP':
            break
        else:
            
            for _seq in range(0, len(total_counters)):
                total_counters[_seq] += temp[_seq]

    finish_time = time.time()

    print_result(COUNT * multiprocess_qty, total_counters, start_time, finish_time)