1. The purpose of syntax highlighting is to turn your code into a map, not The Jimi Hendrix Experience.

  2. geopy sprint at December C³ meeting

    Today (Sunday) the third meeting of the Cleveland Code Co-op will be held from 1pm to 7pm at Gypsy Beans & Bakery. We’ll be focusing on geopy again, continuing our sprint goals from last time. All are welcome to attend. You can join us via IRC in #c3 on irc.freenode.net.

  3. Christmas tree adventure

    I’ve never taken the time to get a Christmas tree while living on my own before because, honestly, Christmas doesn’t mean much to me. But having moved into a spacious single-family carriage house with Steve, it sounded a lot more fun to drag a big needly tree into my living room this year. Today Mandy and I drove all the way out to Tower-N-Pines Farm to cut down our own tree. We followed this up with dinner at Mary Yoder’s Amish Kitchen, where Mandy told me everything she knows about the Amish (Middlefield has the world’s fourth largest Amish population).

    I was hoping for an axe, but they only provided hacksaws. I then realized that, despite being cooler and more fun, an axe would have required blindly swinging your arms into the branches: Brian holding a hacksaw

    We did a lot of walking and probably looked at every single tree. This took a long time: Brian walking among the trees

    We settled on this one: Brian crawling under the tree

    Finally, the moment I had been waiting for: Brian cheerily cutting the tree

    Mandy even got her chance to make this face: Mandy making a fierce face with hacksaw

    It worked: Brian felling the tree

    Note all the inferior trees in the background: Mandy holding the felled tree

    Then there was dragging: Brian dragging the tree

    We tied it to the roof of Mandy’s car using the rope from my grappling hook (farm’s ropes? $11). It arrived safely: Brian preparing the tree

    Steve made up for his non-participation by helping “unfell” the tree: Steve holding the tree at home

    Real mature, Steve: Steve pretending to hit Brian with a hammer

    Steve guesstimates that the tree is “almost 10 feet” tall. Steve and Brian admiring their tree

  4. Roomba decided to take its docking station — originally placed in a much more sensible location — for a walk.

    Roomba decided to take its docking station — originally placed in a much more sensible location — for a walk.

  5. geopy sprint at November C³ meeting

    After suffering from over a year of poor maintenance, geopy is finally getting some love this month. A few other developers and I will be focusing on geopy at this month’s Cleveland Code Co-op meeting. We’ve come up with an ambitious todo list, including:

    • Merging pending patches (bug fixes, Python 2.3 support, accuracy support)
    • Adding unit tests
    • Reverse geocoding support (finding locations near a point)
    • Higher level Points and Locations (instead of tuples and strings)
    • Keeping up with third-party geocoder APIs (and hacks)
    • A “compound” geocoder for querying multiple geocoders (as fallbacks or for averaging results)
    • A parser module with support for geotagged documents (including the Geo microformat), ISO 6709, GPX files, etc.
    • Geohash encoding/decoding
    • A formatter module for pretty-printing coordinates, distances, and ordinal directions (think “south by southwest”)
    • setuptools entry points to support geocoder plugins and discovery

    I think these features are in line with the “geocoding toolbox” goal of the project. While there are a lot of features there, I think geopy will still feel like a nice compact library.

    Why does geopy deserve some developer attention? Because it’s being used in numerous interesting ways, including: directing robots at Carnegie Mellon University, calculating stream lengths for the U.S. Geological Survey, and updating address data for the Barack Obama presidential campaign.

    We’ll be sprinting on Sunday, November 16th. If anyone would like to join us in person or on IRC, please get in touch!

  6. Unstoppable Rocket pumpkin.

    Unstoppable Rocket pumpkin.

  7. Henry the degu. ♥

    Henry the degu. ♥

  8. Simple scheduled message queue (with threads)

    Here’s a more flexible version of the message queue in my last post. This version uses the threading module instead of processing, so it has no dependencies. See the new example after the code.

    """
    Simple message queue.
    
    Messages are scheduled and processed in a single worker thread spawned
    from the main process.  Thus, events are enqueued asynchronously, but
    processed in a linear fashion.
    
    """
    import time
    import sched
    from Queue import Queue, Empty
    from threading import Thread
    
    
    def delay_put(duration, queue, message):
        time.sleep(duration)
        queue.put(message)
    
    def run_scheduler(scheduler):
        scheduler.run()
    
    class Scheduler(sched.scheduler):
        def __init__(self, queue, handler, timeout):
            self.message_queue = queue
            self.handler = handler
            self.timeout = timeout
            sched.scheduler.__init__(self, time.time, self.delay)
    
        def delay(self, duration):
            queue = self.message_queue
            if duration > 0:
                # Spawn a process that will sleep, enqueue None, and exit.
                Thread(target=delay_put, args=(duration, queue, None)).start()
            try:
                message = queue.get(True, duration + self.timeout) # Block!
            except Empty:
                self.timed_out()
            else:
                if message is not None:
                   # A message was enqueued during the delay.
                    timestamp = message.get('timestamp', self.timefunc())
                    priority = message.get('priority', 1)
                    self.enterabs(timestamp, priority, self.handler, (message,))
    
        def timed_out(self):
            print "Timed out."
    
        def startup(self):
            print "Starting scheduler!"
    
        def shutdown(self):
            print "Scheduler done."
    
        def run(self):
            # Schedule the `startup` event to trigger `delayfunc`.
            self.enter(0, 0, self.startup, ())
            sched.scheduler.run(self)
            self.shutdown()
    
    class MessageQueue(object):
        def __init__(self, handler, timeout=10, scheduler_class=Scheduler):
            self.queue = Queue()
            self.scheduler = scheduler_class(self.queue, handler, timeout)
            self.worker = None
    
        def enqueue(self, message):
            self.queue.put(message)
            if not self.working():
                self.start_worker()
    
        def start_worker(self):
            self.worker = Thread(target=run_scheduler, args=(self.scheduler,))
            self.worker.start()
    
        def working(self):
            return self.worker is not None and self.worker.isAlive()
    

    >>> import time
    >>> def my_handler(message):
    ...     print time.time(), message
    
    >>> mq = MessageQueue(my_handler)
    >>> for i in range(1, 10):
    ...     now = time.time()
    ...     mq.enqueue({'data': i, 'timestamp': now + i})
    
    Starting scheduler!
    1224341361.32 {'timestamp': 1224341361.2808199, 'data': 1}
    1224341362.3 {'timestamp': 1224341362.2912149, 'data': 2}
    1224341363.31 {'timestamp': 1224341363.2913051, 'data': 3}
    1224341364.32 {'timestamp': 1224341364.2913489, 'data': 4}
    1224341365.32 {'timestamp': 1224341365.291404, 'data': 5}
    1224341366.3 {'timestamp': 1224341366.291467, 'data': 6}
    1224341367.32 {'timestamp': 1224341367.291549, 'data': 7}
    1224341368.34 {'timestamp': 1224341368.291626, 'data': 8}
    1224341369.34 {'timestamp': 1224341369.2921841, 'data': 9}
    Timed out.
    Scheduler done.
    
  9. Simple scheduled message queue in Python

    Here’s a very simple message queue using Python’s sched module and processing (available as multiprocessing in Python 2.6). This lets you asynchronously schedule events to occur at a specific time. It would be very easy to modify this to process messages with a pool of workers, or use threading instead of processing. There is one thing I could use lazyweb’s help with: find places in the code where I need to use a lock or where I am ignoring these guidelines.

    Update: Here’s a cleaned up version using threads.

    """
    Simple message queue.
    
    Messages are scheduled and processed in a single worker process spawned
    from the main process.  Thus, events are enqueued asynchronously, but
    processed in a linear fashion.
    
    """
    import sched
    import time
    from processing import Queue, Process
    from processing.queue import Empty
    
    
    def delay_put(duration, queue, message):
        time.sleep(duration)
        queue.put(message)
        queue.close()
    
    class Scheduler(sched.scheduler):
        def __init__(self, queue, handler):
            delayfunc = self.make_delay_func(queue, handler)
            sched.scheduler.__init__(self, time.time, delayfunc)
    
        def make_delay_func(self, queue, handler):
            def delay(duration):
                if duration > 0:
                    # Spawn a process that will sleep, enqueue None, and exit.
                    Process(target=delay_put, args=(duration, queue, None)).start()
                try:
                    message = queue.get(True, duration + TIMEOUT) # Block!
                except Empty:
                    print "Timed out."
                else:
                    if message is not None:
                        # A message was enqueued during the delay.
                        timestamp = message.get('timestamp', time.time())
                        priority = message.get('priority', 1)
                        self.enterabs(timestamp, priority, handler, (message,))
            return delay
    
        def startup(self):
            print "Starting scheduler!"
    
        def run(self):
            # Schedule the `startup` event to trigger `delayfunc`.
            self.enter(0, 0, self.startup, ())
            sched.scheduler.run(self)
    
    def handle(message):
        print "[%s] MESSAGE: %s" % (time.time(), message)
    
    def run_scheduler(scheduler):
        scheduler.run()
        print "Scheduler done."
    
    QUEUE = Queue() # Message queue.  Use `enqueue` to add messages.
    TIMEOUT = 10 # Seconds for scheduler to wait for items in queue.
    SCHEDULER = Scheduler(QUEUE, handle) # Message handler scheduler.
    PROCESS = None # Process running the scheduler.
    
    def enqueue(message):
        global PROCESS
        QUEUE.put(message)
        if PROCESS is None or PROCESS.getExitCode() is not None:
            # There is no scheduler process running; start one.
            PROCESS = Process(target=run_scheduler, args=(SCHEDULER,))
            PROCESS.start()
    

    Here’s a usage example:

    >>> import time
    >>> enqueue({'data': 1})
    Starting scheduler!
    [2008-10-17 14:33:56.212] MESSAGE: {'data': 1}
    
    >>> enqueue({'data': 3, 'timestamp': time.time() + 10})
    >>> enqueue({'data': 2, 'timestamp': time.time() + 7})
    >>> enqueue({'data': 4, 'timestamp': time.time() + 15})
    >>> time.sleep(26)
    [2008-10-17 14:34:03.221] MESSAGE: {'timestamp': 1224268443.219, 'data': 2}
    [2008-10-17 14:34:06.217] MESSAGE: {'timestamp': 1224268446.215, 'data': 3}
    [2008-10-17 14:34:11.225] MESSAGE: {'timestamp': 1224268451.222, 'data': 4}
    Timed out.
    Scheduler done.
    
    >>> enqueue({'data': 5, 'timestamp': time.time() + 5})
    Starting scheduler!
    [2008-10-17 14:34:27.233] MESSAGE: {'timestamp': 1224268467.232, 'data': 5}
    Timed out.
    Scheduler done.
    
  10. Cleveland Code Co-op →

    This Sunday will be the first meeting of the Cleveland Code Co-op. Our goal is to contribute to a different Free Software project at each session, determined by the interests of those present. This Sunday will be a Django sprint. All are welcome to attend.

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