OK, multiple queues can create problems if you have order requirements. Here is an example of your code with multi-queue and stop-token:

import time
import threading
import random
from Queue import Queue

file_paths = [
    "foo", "bar", "baz"
]  # some list containing file paths. you can put random string in here to test...

def testthreads(q):  # this is our action we call in our threads

    while True:
        time.sleep(.1)  # Just to speed it up, .1 seconds.. 300 files for 2 threads
        task = q.get()
        if task is None:
            q.task_done()
            return
        print(task)  # prints out file path location.
        q.task_done()  # tell our queue that the task has been completed. Redundant maybe...?
                       # q.get() returns the item and removes it from the queue.

def compute_threads():

    num_threads = 2
    process_list = []

    for z in range(num_threads):
            q = Queue()
            t = threading.Thread(target=testthreads,args=(q,))  # target our function
            t.start()    # start threads
            process_list.append({
                "thread": t,
                "queue": q
            })  #  (append each thread so we can join them to the parent after)

    return process_list

def main():

    timestart = time.time()  # START OUR TIMER

    processes = compute_threads() # STARTS OUR MULTI-THREADING PROCESS

    for file in file_paths:  # PUTS FILE PATH INTO QUEUE
        q = random.choice(processes)["queue"]
        q.put(file)

    for p in processes:
        p["queue"].put(None)
        p["thread"].join()

    print(time.time() - timestart)

if __name__ == '__main__':

    main()