python - Delete Objects in a List as Passed to Multiprocessing -

i need pass each object in large list function. after function completes no longer need object passed function , delete object save memory. if working single process following:

result = [] while len(mylist) > 0:     result.append(myfunc(mylist.pop()) 

as loop on mylist pop off each object in list such object no longer stored in mylist after it's passed function. how achieve same effect in parallel using multiprocessing?

a simple consumer example (credits go here) :

import multiprocessing import time import random  class consumer(multiprocessing.process):      def __init__(self, task_queue, result_queue):         multiprocessing.process.__init__(self)         self.task_queue = task_queue         self.result_queue = result_queue      def run(self):         while true:             task = self.task_queue.get()             if task none:                 # poison pill means shutdown                 self.task_queue.task_done()                 break             answer = task.process()             self.task_queue.task_done()             self.result_queue.put(answer)         return   class task(object):      def process(self):         time.sleep(0.1) # pretend take time work         return random.randint(0, 100)   if __name__ == '__main__':     # establish communication queues     tasks = multiprocessing.joinablequeue()     results = multiprocessing.queue()      # start consumers     num_consumers = multiprocessing.cpu_count() * 2     consumers = [consumer(tasks, results) in xrange(num_consumers)]     consumer in consumers:         consumer.start()      # enqueue jobs     num_jobs = 10     _ in xrange(num_jobs):         tasks.put(task())      # add poison pill each consumer     _ in xrange(num_consumers):         tasks.put(none)      # wait tasks finish     tasks.join()      # start printing results     while num_jobs:         result = results.get()         print 'result:', result         num_jobs -= 1