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        "author": "Daniil Omelchenko",
        "author_email": "dpixelstudio@gmail.com",
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        "description": "timepy\n======\n\n|Build Status| |Coverage Status| |PyPI version|\n\nThe simplest ever library for measuring time of python code execution.\n\nInstallation\n------------\n\n.. code:: bash\n\n    pip install timepy\n\nHow to use\n----------\n\n.. code:: python\n\n    from timepy import Timer\n\nIt's simple:\n~~~~~~~~~~~~\n\n.. code:: python\n\n    t = Timer()\n\n    t.start()\n    # Your code which you want to measure\n    t.stop()\n    print(t.total_time)\n\nYou can give a name fro your timer:\n\n.. code:: python\n\n    t = Timer('My second timer')\n\nKeep every moment you want\n~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nYou can\n\n.. code:: python\n\n    t = Timer()\n    t.start()\n    # Some heavy work 1\n    t.commit('Work 1 is done')\n    # Some heave work 2\n    t.commit('Work 2 is done')\n    t.stop()\n\n    print(t.events)\n\n    # will output:\n    # [<TimerStarted: 0.0 s>,\n    #  <TimerCommitted: 10.0 s (Work 1 is done)>,\n    #  <TimerCommitted: 20.0 s (Work 2 is done)>,\n    #  <TimerStopped: 20.001 s>]\n\nMeasure your iterations\n~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code:: python\n\n    t = Timer()\n    t.start\n    for i in some_list:\n        # do heavy work\n        t.lap()\n    t.stop()\n\n    print(t.laps[0])      # <Lap 0: 123 s>\n    print(t.laps)         # see all laps\n    print(t.average_lap)  # average lap duration\n\n.. |Build Status| image:: https://travis-ci.org/daniil-omelchenko/timepy.svg?branch=master\n   :target: https://travis-ci.org/daniil-omelchenko/timepy\n.. |Coverage Status| image:: https://coveralls.io/repos/github/daniil-omelchenko/timepy/badge.svg?branch=master\n   :target: https://coveralls.io/github/daniil-omelchenko/timepy?branch=master\n.. |PyPI version| image:: https://badge.fury.io/py/timepy.svg\n   :target: https://badge.fury.io/py/timepy\n",
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        "keywords": "timer,debugging,testing,measurement,performance,logging",
        "license": "MIT",
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        "name": "timepy",
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