This solution can be implemented by means of communication strategies between processes, shared memory, or message passing. An incorrect solution could result in a deadlock, in which both processes wait to be awakened:

import multiprocessing
import random
import time

Let's perform the steps as follows:

1. The producer class is responsible for entering 10 items in the queue by using the put method:

class producer(multiprocessing.Process):
    def __init__(self, queue):
        multiprocessing.Process.__init__(self)
        self.queue = queue

    def run(self) :
        for i in range(10):
            item = random.randint(0, 256)
            self.queue.put(item) 
            print ("Process Producer : item %d appended 
                   to queue %s"
                   % (item,self.name))
            time.sleep(1)
            print ("The size of queue is %s"
                   % self.queue.qsize())

2. The consumer class has the task of removing the items from the queue (using the get method) and verifying that the queue is not empty. If this happens, then the flow inside the while loop ends with a break statement:

class consumer(multiprocessing.Process):
    def __init__(self, queue):
        multiprocessing.Process.__init__(self)
        self.queue = queue

    def run(self):
        while True:
            if (self.queue.empty()):
                print("the queue is empty")
                break
            else :
                time.sleep(2)
                item = self.queue.get()
                print ('Process Consumer : item %d popped 
                        from by %s 
'
                       % (item, self.name))
                time.sleep(1)

3. The multiprocessing class has its queue object instantiated in the main program:

if __name__ == '__main__':
        queue = multiprocessing.Queue()
        process_producer = producer(queue)
        process_consumer = consumer(queue)
        process_producer.start()
        process_consumer.start()
        process_producer.join()
        process_consumer.join()