Producers/consumers timely queue in Python

For one of my projects (Push2mob), I had to implement a multiple producers / multiple consumers timely queue, that is a priority queue where the priority is a timestamp at which the item should be delivered.  After multiple more or less successful attempts I've finally come up with an implementation that was efficient and neat.  I've posted it on StackOverflow to ask for some review, and got a good one.

Here is the final result.  I would be glad if it could help someone.

# Copyright (c) 2012, Jeremie Le Hen 
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met: 
#
# 1. Redistributions of source code must retain the above copyright notice, this
#    list of conditions and the following disclaimer. 
# 2. Redistributions in binary form must reproduce the above copyright notice,
#    this list of conditions and the following disclaimer in the documentation
#    and/or other materials provided with the distribution. 
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
# ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

import collections
import heapq
import threading
import time

class TimelyQueue:
    """
    Implements a similar but stripped down interface of Queue which
    delivers items on time only.
    """

    def __init__(self, resolution=5):
        """
        `resolution' is an optimization to avoid wasting CPU cycles when
        something is about to happen in less than X ms.
        """
        self.timerthread = threading.Thread(target=self.__timer)
        self.timerthread.daemon = True
        self.resolution = float(resolution) / 1000
        self.queue = []
        self.triggered = collections.deque()
        self.putcond = threading.Condition()
        self.getcond = threading.Condition()
        # Optimization to avoid waking the thread uselessly.
        self.putwaketime = 0
        self.terminating = False
        self.timerthread.start()

    def put(self, when, item):
        """
        `when' is a Unix time from Epoch.
        """
        with self.putcond:
            heapq.heappush(self.queue, (when, item))
            if when < self.putwaketime or self.putwaketime == 0:
                self.putcond.notify()

    def get(self, timeout=None):
        """
        Timely return the next object on the queue.
        """
        with self.getcond:
            if len(self.triggered) > 0:
                when, item = self.triggered.popleft()
                return item
                self.getcond.wait(timeout)
            try:
                when, item = self.triggered.popleft()
            except IndexError:
                return None
            return item

    def qsize(self):
        """
        Self explanatory.
        """
        with self.putcond:
            return len(self.queue)

    def terminate(self):
        """
        Request the embedded thread to terminate.
        """
        with self.putcond:
            self.terminating = True
            self.putcond.notifyAll()

    def __timer(self):
        with self.putcond:
            maxwait = None
            while True:
                curtime = time.time()
                try:
                    when, item = self.queue[0]
                    maxwait = when - curtime
                    self.putwaketime = when
                except IndexError:
                    maxwait = None
                    self.putwaketime = 0
                self.putcond.wait(maxwait)
                if self.terminating:
                    return

                curtime = time.time()
                while True:
                    # Don't dequeue now, we are not sure to use it yet.
                    try:
                        when, item = self.queue[0]
                    except IndexError:
                        break
                    if when > curtime + self.resolution:
                        break

                    self.triggered.append(heapq.heappop(self.queue))
                if len(self.triggered) > 0:
                    with self.getcond:
                        self.getcond.notify(len(self.triggered))


if __name__ == "__main__":
    q = TimelyQueue()
    N = 100000
    t0 = time.time()
    for i in range(N):
        q.put(time.time() + 2, i)
    dt = time.time() - t0
    print "put done in %.3fs (%.2f put/sec)" % (dt, N / dt)
    t0 = time.time()
    i = 0
    while i < N:
        a = q.get(3)
        if i == 0:
            dt = time.time() - t0
            print "start get after %.3fs" % dt
            t0 = time.time()
        i += 1
    dt = time.time() - t0
    print "get done in %.3fs (%.2f get/sec)" % (dt, N / dt)
    q.terminate()
    # Give change to the thread to exit properly, otherwise we may get
    # a stray interpreter exception.
    time.sleep(0.1)