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        "author": "Nitzan Miron",
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        "description": "=======\nPyElock\n=======\n\nPure Python wrapper for https://github.com/dustin/elock .\n\nelock is \"A simple, fault-tolerant distributed lock server in erlang.\"  Using\nit in Python allows you to do all sorts of cool stuff, like ensuring a Celery\ntask doesn't run more than once simultaneously, even across different Celery\nservers.\n\nNote, if you are already using Twisted in your project, you should check out\ndustin's wrapper at https://github.com/dustin/elock-twisted .\n\nUsage\n=====\n\nSimple single lock:\n\n    try:\n      with pyelock.ELockSingle(('remote-server.domain.com', 11400), 'my_lock'):\n        # Do some stuff\n        time.sleep(10)\n    except pyelock.LockInUse:\n      print \"Can't do stuff, my_lock is in use\"\n\nIf you want precise control over your locking behavior, or want to acquire\nmultiple locks, use the following code:\n\n    with pyelock.ELock(('remote-server.domain.com', 11400)) as elock:\n      # Acquire a lock, waiting up to 30 seconds for it\n      if not elock.lock('my_lock', timeout=30.0):\n        print \"Oh no, can't get my_lock\"\n      \n      # Acquire another lock, without waiting if it's locked\n      if not elock.lock('my_other_lock'):\n        print \"Can't get my_other_lock\"\n      \n      # Do some stuff...\n      \n      # Release first lock\n      elock.unlock('my_lock')\n      \n      # Do some other stuff...\n      \n      # Note: you don't technically need to release locks right before the end\n      # of the 'with' block, since all locks held will be automatically released\n      # when the object is destroyed.",
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