ForkingPickler: TypeError: cannot pickle 'memoryview' object - sockets

Question

I am trying to send and receive pickled versions of a random value generated by the producer. I am using the Multiprocess(not '-ing') and ForkingPickler module to to pickle and qeueue the generated value. However upon running the sample program below, i get the below error. Basis for using ForkingPickler is to pickle socket objects in future. I am now testing out with a sample version. Is this a feasible way to go about pickling socket objects?
rv = reduce(self.proto)
TypeError: cannot pickle 'memoryview' object
def producer(queue):
print('Producer: Running', flush=True)
# generate work
for i in range(10):
# generate a value
value = random()
# block
sleep(value)
# add to the queue
fork_value = ForkingPickler.dumps(value)
queue.put(fork_value)
# all done
queue.put(None)
print(f'Queue Size Consumer: {queue.qsize()}', flush=True)
print('Producer: Done', flush=True)
# consume work
def consumer(queue):
print('Consumer: Running', flush=True)
# consume work
while True:
print(f'Queue Size Consumer: {queue.qsize()}', flush=True)
# get a unit of work
fork_value = queue.get()
item = ForkingPickler.loads(fork_value)
# check for stop
if item is None:
break
# report
print(f'>got {item}', flush=True)
# all done
print('Consumer: Done', flush=True)
# entry point
if __name__ == '__main__':
# create the shared queue
queue = JoinableQueue()
# start the consumer
consumer_process = Process(target=consumer, args=(queue,))
consumer_process.start()
# start the producer
producer_process = Process(target=producer, args=(queue,))
producer_process.start()
# wait for all processes to finish
consumer_process.join()
producer_process.join()