マルチプロセッシングを使用して Python でプロセス間通信を実装するにはどうすればよいですか?

parent_conn, child_conn = Pipe(duplex=True/False)

class queue.Queue(maxsize=0)

class queue.LifoQueue(maxsize=0)

class queue.PriorityQueue(maxsize=0)

import multiprocessing

def producer(numbers, q):
    for x in numbers:
        if x % 2 == 0:
            if q.full():
                print("queue is full")
                break
            q.put(x)
            print(f"put {x} in queue by producer")
    return None

def consumer(q):
    while not q.empty():
        print(f"take data {q.get()} from queue by consumer")
    return None

if __name__ == "__main__":
    # 设置1个queue对象，最大长度为5
    qu = multiprocessing.Queue(maxsize=5,) 

    # 创建producer子进程，把queue做为其中1个参数传给它，该进程负责写
    p5 = multiprocessing.Process(
        name="producer-1",
        target=producer,
        args=([random.randint(1, 100) for i in range(0, 10)], qu)
    )
    p5.start()
    p5.join()
    #创建consumer子进程，把queue做为1个参数传给它，该进程中队列中读
    p6 = multiprocessing.Process(
        name="consumer-1",
        target=consumer,
        args=(qu,)
    )
    p6.start()
    p6.join()

    print(qu.qsize())

from multiprocessing import Process, Lock

def f(l, i):
    l.acquire()
    try:
        print('hello world', i)
    finally:
        l.release()

if __name__ == '__main__':
    lock = Lock()

    for num in range(10):
        Process(target=f, args=(lock, num)).start()

import multiprocessing
import time
import random

def joo_a(q, ev):
    print("subprocess joo_a start")
    if not ev.is_set():
        ev.wait()
    q.put(random.randint(1, 100))
    print("subprocess joo_a ended")

def joo_b(q, ev):
    print("subprocess joo_b start")
    ev.clear()
    time.sleep(2)
    q.put(random.randint(200, 300))
    ev.set()
    print("subprocess joo_b ended")

def main_event():
    qu = multiprocessing.Queue()
    ev = multiprocessing.Event()
    sub_a = multiprocessing.Process(target=joo_a, args=(qu, ev))
    sub_b = multiprocessing.Process(target=joo_b, args=(qu, ev,))
    sub_a.start()
    sub_b.start()
    # ev.set()
    sub_a.join()
    sub_b.join()
    while not qu.empty():
        print(qu.get())

if __name__ == "__main__":
    main_event()

def  func(num):
    num.value=10.78   #子进程改变数值的值，主进程跟着改变
 
if  __name__=="__main__":
num = multiprocessing.Value("d", 10.0) 
# d表示数值,主进程与子进程可共享这个变量。

    p=multiprocessing.Process(target=func,args=(num,))
    p.start()
    p.join()
 
    print(num.value)

import multiprocessing
 
def  func(num):
    num[2]=9999   #子进程改变数组，主进程跟着改变
 
if  __name__=="__main__":
    num=multiprocessing.Array("i",[1,2,3,4,5])   

    p=multiprocessing.Process(target=func,args=(num,))
    p.start() 
    p.join()
 
    print(num[:])

multiprocessing.shared_memory.SharedMemory(name=none, create=False, size=0)

>>> from multiprocessing import shared_memory
>>> shm_a = shared_memory.SharedMemory(create=True, size=10)
>>> type(shm_a.buf)
<class &#39;memoryview&#39;>
>>> buffer = shm_a.buf
>>> len(buffer)
10
>>> buffer[:4] = bytearray([22, 33, 44, 55])  # Modify multiple at once
>>> buffer[4] = 100                           # Modify single byte at a time
>>> # Attach to an existing shared memory block
>>> shm_b = shared_memory.SharedMemory(shm_a.name)
>>> import array
>>> array.array(&#39;b&#39;, shm_b.buf[:5])  # Copy the data into a new array.array
array(&#39;b&#39;, [22, 33, 44, 55, 100])
>>> shm_b.buf[:5] = b&#39;howdy&#39;  # Modify via shm_b using bytes
>>> bytes(shm_a.buf[:5])      # Access via shm_a
b&#39;howdy&#39;
>>> shm_b.close()   # Close each SharedMemory instance
>>> shm_a.close()
>>> shm_a.unlink()  # Call unlink only once to release the shared memory

from multiprocessing import shared_memory
>>> a = shared_memory.ShareableList(['howdy', b'HoWdY', -273.154, 100, None, True, 42])
>>> [ type(entry) for entry in a ]
[<class &#39;str&#39;>, <class &#39;bytes&#39;>, <class &#39;float&#39;>, <class &#39;int&#39;>, <class &#39;NoneType&#39;>, <class &#39;bool&#39;>, <class &#39;int&#39;>]
>>> a[2]
-273.154
>>> a[2] = -78.5
>>> a[2]
-78.5
>>> a[2] = &#39;dry ice&#39;  # Changing data types is supported as well
>>> a[2]
&#39;dry ice&#39;
>>> a[2] = &#39;larger than previously allocated storage space&#39;
Traceback (most recent call last):
  ...
ValueError: exceeds available storage for existing str
>>> a[2]
&#39;dry ice&#39;
>>> len(a)
7
>>> a.index(42)
6
>>> a.count(b&#39;howdy&#39;)
0
>>> a.count(b&#39;HoWdY&#39;)
1
>>> a.shm.close()
>>> a.shm.unlink()
>>> del a  # Use of a ShareableList after call to unlink() is unsupported


b = shared_memory.ShareableList(range(5))         # In a first process
>>> c = shared_memory.ShareableList(name=b.shm.name)  # In a second process
>>> c
ShareableList([0, 1, 2, 3, 4], name=&#39;...&#39;)
>>> c[-1] = -999
>>> b[-1]
-999
>>> b.shm.close()
>>> c.shm.close()
>>> c.shm.unlink()

snm = Manager()
snm = SharedMemoryManager()

sl = snm.list(), snm.dict()

sx = snm.SharedMemory(size)

sl = snm.ShareableList(sequence) 如
sl = smm.ShareableList([‘howdy', b'HoWdY', -273.154, 100, True])

snm = Manager()
q = snm.Queue()

from multiprocessing import Process, Manager

def f(d, l):
    d[1] = '1'
    d['2'] = 2
    d[0.25] = None
    l.reverse()

if __name__ == '__main__':
    with Manager() as manager:
        d = manager.dict()
        l = manager.list(range(10))

        p = Process(target=f, args=(d, l))
        p.start()
        p.join()

        print(d)
        print(l)

>>> with SharedMemoryManager() as smm:
...     sl = smm.ShareableList(range(2000))
...     # Divide the work among two processes, storing partial results in sl
...     p1 = Process(target=do_work, args=(sl, 0, 1000))
...     p2 = Process(target=do_work, args=(sl, 1000, 2000))
...     p1.start()
...     p2.start()  # A multiprocessing.Pool might be more efficient
...     p1.join()
...     p2.join()   # Wait for all work to complete in both processes
...     total_result = sum(sl)  # Consolidate the partial results now in sl

from multiprocessing.managers import BaseManager

class MathsClass:
    def add(self, x, y):
        return x + y
    def mul(self, x, y):
        return x * y

class MyManager(BaseManager):
    pass

MyManager.register('Maths', MathsClass)

if __name__ == '__main__':
    with MyManager() as manager:
        maths = manager.Maths()
        print(maths.add(4, 3))         # prints 7
        print(maths.mul(7, 8))