请教老师们：
如果有4个内核，创建这10个进程，执行task，从并发和并行的角度去看，怎么能确认10个进程的执行状态是并发还是并行呢？

打印出task中的core id, 发现每个进程在执行task内部的2次打印时，在不同的core上。请问一个进程领取到一个task任务后，在执行task内部的各种指令时，并不是固定在同一个core上的？

# -*- encoing=utf-8 -*-
import os
import time
import multiprocessing
from concurrent.futures import ProcessPoolExecutor
import psutil


pp = ProcessPoolExecutor(5)


def _task():
    for i in range(2):
        print("I'm running on CPU #%s" % multiprocessing.current_process().name)
        b = psutil.Process().cpu_num()
        print('this is a _task. i = {}. process id = {}, cpu core id = {}'.format(i, os.getpid(), b))
        time.sleep(1)
    return time.time()

futures = []
for i in range(5):
    future = pp.submit(_task)
    futures.append(future)

for future in futures:
    print(future.result())

process id 1002, 在执行两次打印过程中，分别执行在core_2和 core_0上。

[root@38ea79f12a17 6]# python processexecutortest.py
I'm running on CPU #ForkProcess-1
this is a _task. i = 0. process id = 997, cpu core id = 2
I'm running on CPU #ForkProcess-2
this is a _task. i = 0. process id = 1000, cpu core id = 3
I'm running on CPU #ForkProcess-4
this is a _task. i = 0. process id = 1002, cpu core id = 2
I'm running on CPU #ForkProcess-3
this is a _task. i = 0. process id = 1001, cpu core id = 0
I'm running on CPU #ForkProcess-5
this is a _task. i = 0. process id = 1003, cpu core id = 3
I'm running on CPU #ForkProcess-1
this is a _task. i = 1. process id = 997, cpu core id = 2
I'm running on CPU #ForkProcess-2
I'm running on CPU #ForkProcess-4
this is a _task. i = 1. process id = 1000, cpu core id = 3
this is a _task. i = 1. process id = 1002, cpu core id = 0
I'm running on CPU #ForkProcess-3
this is a _task. i = 1. process id = 1001, cpu core id = 0
I'm running on CPU #ForkProcess-5
this is a _task. i = 1. process id = 1003, cpu core id = 3
1639227261.698254
1639227261.6998458
1639227261.6994872
1639227261.6995008
1639227261.7000384