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        "author": "Justin Engel",
        "author_email": "jtengel08@gmail.com",
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            "Programming Language :: Python",
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        "description": "====================\ncontinuous_threading\n====================\n\nThis library provides several classes to help manage threads that run continuously.\n\nThere are some problems with threads runing continuously in a loop. Calculation threads are greedy and keep running \nwhich starves other threads. Another problem is if you don't exit an infinite loop in a thread it may keep running \nafter python has tried to exit. Daemon threads will close, but resources/variables may not be cleaned up properly. \nMostly, I needed to finish writing data to a file before the thread closed. This library aims to solve those problems.\n\nThis library provides a couple of main thread utilities:\n  * Thread - threading with context manager support\n  * ContinuousThread - Run a function continuously in a loop (It is suggested sleep is called periodically if no I/O)\n  * PausableThread - Continuous thread that can be stopped and started again.\n  * OperationThread - Thread that will run a calculation in a separate thread with different data.\n  * PeriodicThread - Thread that runs a function periodically at a given interval.\n  * shutdown - Call `join(timeout)` on every non-daemon thread that is active.\n\n\nShutdown Update!\n================\n\nNoticed issue with Python 3.8 on Windows. Python's threading._shutdown method can hang forever preventing the\nprocess from exiting. This library is dependent on that function. I override threading._shutdown to automatically\n\"join\"  all non-daemon threads.\n\nNote: Python's threading.Thread has a `_stop` method. Try not to override this method.\n\n\nProblem\n-------\n\n.. code-block:: python\n\n    import time\n    import threading\n\n    c = 0\n\n    def count_loop():\n        global c\n\n        while True:\n            c += 1\n            time.sleep(1)\n\n    th = threading.Thread(target=count_loop)\n    th.start()\n\n    time.sleep(5)\n    print('Count:', c)\n\n    # Process will not exit, because thread is running and cannot end\n\n\nSolution\n--------\n\nAdded an `allow_shutdown()` method and a `shutdown()` function.\nThe \"ContinuousThread\", \"PausableThread\", \"OperationThread\", and \"PeriodicThread\" do not have this problem.\nThe continuous_threading library overrides `threading._shutdown` and has fixes to allow ContinuousThread's to close\nautomatically.\n\n.. code-block:: python\n\n    import time\n    import continuous_threading\n\n    c = 0\n\n    def count():\n        global c\n        c += 1\n        time.sleep(1)\n\n    th = continuous_threading.ContinuousThread(target=count)\n    th.start()\n\n    time.sleep(5)\n    print('Count:', c)\n\n    # Process will automatically exit with threading._shutdown() override\n\n\n.. code-block:: python\n\n    import time\n    import continuous_threading\n\n    c = 0\n\n    def count_loop():\n        global c\n\n        while True:\n            c += 1\n            time.sleep(1)\n\n    th = continuous_threading.Thread(target=count_loop)\n    th.start()\n\n    time.sleep(5)\n    print('Count:', c)\n\n    continuous_threading.shutdown(0)  # Call join on every non-daemon Thread.\n\n    # Alternative. This does not call join normally. continuous_threading threading._shutdown override does call \"join\".\n    # th.allow_shutdown()  # Release \"_tstate_lock\" allowing threading._shutdown to continue\n\n    # Process will exit, because allow_shutdown or shutdown\n\n\nClose Infinite Loop Threads Automatically\n-----------------------------------------\n\nControl how the override threading._shutdown works.\n\n.. code-block:: python\n\n    import time\n    import continuous_threading\n\n    # Change threading._shutdown() to automatically call Thread.allow_shutdown()\n    continuous_threading.set_allow_shutdown(True)\n    continuous_threading.set_shutdown_timeout(0)  # Default 1\n\n    c = 0\n\n    def count_loop():\n        global c\n\n        while True:\n            c += 1\n            time.sleep(1)\n\n    th = continuous_threading.Thread(target=count_loop)\n    th.start()\n\n    time.sleep(5)\n    print('Count:', c)\n\n    # Process will exit due to \"set_allow_shutdown\"\n\n\nCan also just call `continuous_threading.shutdown()`\n\nRemove threading._shutdown() override\n-------------------------------------\n\nYou can change the threading._shutdown function with\n\n.. code-block:: python\n\n    import continuous_threading\n\n    # Change back to original threading._shutdown function\n    continuous_threading.reset_shutdown()\n\n    # Set custom function or leave empty to use continuous_threading custom_shutdown()\n    continuous_threading.set_shutdown()\n\n\nThread context manager\n======================\nThis library turns threads into a context manager which automatically starts and stops threads.\n\n.. code-block:: python\n\n    import continuous_threading\n\n    thread_success = [False]\n\n    def do_something():\n        print('here')\n        thread_success[0] = True\n\n\n    with continuous_threading.Thread(target=do_something):\n        print('in context')\n\n    assert thread_success[0] is True\n\n\nContinuousThread\n================\nThe ContinuousThread is a simple thread in an infinite while loop. The while loop keeps looping while the thread \nalive Event is set. Call `thread.stop()`, `thread.close()`, or `thread.join()` to stop the thread. The thread should \nalso stop automatically when the python program is exiting/closing.\n\n.. code-block:: python\n\n    import continuous_threading\n\n    class CountingThread(continuous_threading.ContinuousThread):\n        def __init__(self):\n            super().__init__()\n            self.counter = 0\n\n        def _run(self):\n            self.counter += 1\n\n\n    with CountingThread() as th:\n        print('in context')\n\n    assert th.counter > 0\n    print(\"Simple context manager print caused %d thread iterations\" % th.counter)\n\n\nExample of start and stop methods.\n.. code-block:: python\n\n    import time\n    import continuous_threading\n\n    class CountingThread(continuous_threading.ContinuousThread):\n        def __init__(self):\n            super().__init__()\n            self.counter = 0\n\n        def _run(self):\n            self.counter += 1\n\n    th = CountingThread()\n    th.start()\n    time.sleep(0.1)\n    th.stop()  # or th.close() or th.join()\n\n    assert th.counter > 0\n    print(\"Simple context manager print caused %d thread iterations\" % th.counter)\n\n\nNew init function\n.. code-block:: python\n\n    import time\n    import continuous_threading\n\n    COUNTER = [0]\n\n    def init_counter():\n        return {'counter': COUNTER}  # dict gets pass as kwargs to the target function.\n\n    def inc_coutner(counter):\n        counter[0] += 1\n\n    th = continuous_threading.ContinuousThread(target=inc_counter, init=init_counter)\n    th.start()\n    time.sleep(0.1)\n    th.stop()  # or th.close() or th.join()\n\n    assert th.counter > 0\n    print(\"Simple context manager print caused %d thread iterations\" % th.counter)\n\n\nPausableThread\n==============\nA continuous thread that can be stopped and started again.\n\n.. code-block:: python\n\n    import time\n    import continuous_threading\n\n\n    counter = [0]\n\n    def inc_counter():\n        counter[0] += 1\n\n    th = continuous_threading.PausableThread(target=inc_counter)\n\n    th.start()\n    time.sleep(0.1)\n\n    th.stop()\n    time.sleep(0.1)\n\n    value = counter[0]\n    assert value > 0\n\n    time.sleep(0.1)\n    assert value == counter[0]\n\n    th.start()\n    time.sleep(0.1)\n    assert counter[0] > value\n\n\nAgain this can be used as a context manager.\n.. code-block:: python\n\n    import time\n    import continuous_threading\n\n    class CountingThread(continuous_threading.PausableThread):\n        def __init__(self):\n            super().__init__()\n            self.counter = 0\n\n        def _run(self):\n            self.counter += 1\n\n    with CountingThread() as th:\n        time.sleep(0.1)\n        th.stop()\n        value = th.counter\n        assert value > 0\n\n        time.sleep(0.1)\n        assert value == th.counter\n\n        th.start()\n        time.sleep(0.1)\n        assert th.counter > value\n\n\nPeriodicThread\n==============\n\nRun a function periodically.\n\n.. code-block:: python\n\n    import time\n    import continuous_threading\n\n\n    time_list = []\n\n    def save_time():\n        time_list.append(time.time())\n\n    th = continuous_threading.PeriodicThread(0.5, save_time)\n    th.start()\n\n    time.sleep(4)\n    th.join()\n\n    print(time_list)\n\n\nOperationThread\n===============\nAdd data to a queue which will be operated on in a separate thread.\n\n.. code-block:: python\n\n    import time\n    import continuous_threading\n\n\n    values = []\n\n    def run_calculation(data1, data2):\n        values.append(data1 + data2)\n\n    th = continuous_threading.OperationThread(target=run_calculation)\n    th.start()\n    th.add_data(1, 1)\n    time.sleep(0.1)\n\n    assert len(values) > 0\n    assert values[0] == 2\n\n    th.add_data(2, 2)\n    th.add_data(3, 3)\n    th.add_data(4, 4)\n    th.add_data(5, 5)\n\n    time.sleep(0.1)\n    assert values == [2, 4, 6, 8, 10]\n\n\nProcess\n=======\n\nAll of the above Thread classes can also be used as a separate Process:\n  * Process\n  * ContinuousProcess\n  * PausableProcess\n  * PeriodicProcess\n  * OperationProcess\n  * CommandProcess\n\n\nCommandProcess\n--------------\n\nRun functions and commands on an object that lives in a different process.\n\n.. code-block:: python\n\n    from continuous_threading import CommandProcess\n\n\n    class MyObj(object):\n        def __init__(self, x=0, y=0):\n            self._x = x\n            self._y = y\n\n        def set_x(self, x):\n            self._x = x\n\n        def set_y(self, y):\n            self._y = y\n\n        def print_obj(self, msg=''):\n            print(self._x, self._y, msg)\n\n        def expect(self, x, y, msg=''):\n            assert self._x == x, 'X value {} does not match expected {}'.format(self._x, x)\n            assert self._y == y, 'Y value {} does not match expected {}'.format(self._y, y)\n            self.print_obj(msg=msg)\n\n\n    obj1 = MyObj()\n    obj2 = MyObj()\n\n    proc = CommandProcess(target=obj1)\n    proc.start()\n\n    # Send a command obj1\n    print('Main Obj1')  # Note: this prints way earlier\n    proc.send_cmd('print_obj', msg=\"Obj1\")\n    proc.send_cmd('set_x', 1)\n    proc.send_cmd('print_obj')\n    proc.send_cmd('set_y', 2)\n    proc.send_cmd('print_obj')\n    proc.send_cmd('expect', 1, 2, msg='Obj1 expected (1,2)')\n\n    # Send a command obj2\n    print('Main Obj2')  # Note: this prints way earlier\n    proc.obj = obj2\n    proc.send_cmd('print_obj', msg=\"Obj2\")\n    proc.send_cmd('set_x', 2)\n    proc.send_cmd('print_obj')\n    proc.send_cmd('set_y', 4)\n    proc.send_cmd('print_obj')\n    proc.send_cmd('expect', 2, 4, msg='Obj2 expected (2,4)')\n\n    # *** IGNORE COMMENTS: I implemented a caching system to save object state. ***\n    # Change back to obj1 (Remember this obj has attr 0,0 and when sent to other process will be a new obj 0,0).\n    # Cannot remember objects unless cached (saved in a dict) on the other process. id in process will be different.\n    #  ... NVM I'll just cache the obj value.\n    print('Main Obj1 again (Cached)')  # Note: this prints way earlier\n    proc.obj = obj1\n    proc.send_cmd('expect', 1, 2, msg=\"Obj1 Again (Cached)\")\n    proc.send_cmd('set_x', 3)\n    proc.send_cmd('print_obj')\n    proc.send_cmd('set_y', 5)\n    proc.send_cmd('print_obj')\n    proc.send_cmd('expect', 3, 5, msg='Obj1 Again expected (3,5)')\n\n    proc.join()\n\n\n",
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