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        "description": "Clocked\n=======\n\nA library to enable easier profiling, based _**loosely**_ on\n[MiniProfiler](http://miniprofiler.com/). For a more full-featured\nimplementation for use in web development, check out the [GAE Mini Profiler]\n(https://github.com/Khan/gae_mini_profiler). This library is meant to be more\nlightweight than a full MiniProfiler implementation so that you can quickly\nload it into a project and start timing things.\n\nUse Case\n========\nI was looking to profile some code and came across [this blog post]\n(http://www.huyng.com/posts/python-performance-analysis/) that covers things\nquite nicely. However, the coarse and fine grain timing sections leaves a lot\nup to reader and aren't very robust, so this library is meant to fill the gap.\n\nThis library is meant to be used to do higher-level profiling,\nwhere you litter your code with profiling statements and generate a report to\nquickly find where your code is spending all of it's time. From there,\nfall back to tools like [timeit](https://docs.python.org/2/library/timeit\n.html) or [line_profiler](https://github.com/rkern/line_profiler).\n\nTo start, initialize the session by calling\n\n```python\nClocked.initialize('at the root scope!')\n```\n\nThen run your code with ``clocked`` decorators and/or ``with Clocked``\nstatements. At the end of the session, output a report with either\n``Clocked.verbose_report()`` or ``Clocked.hotspot_report()`` to see some\ntiming information.\n\nSupported ways to decorate\n--------------------------\n\n#### class level\n\n```python\n@clocked\nclass MyClass(object):\n\n  def will_be_timed_one(self):\n    ...\n\n  def will_be_timed_two(self):\n    ...\n\n```\n\n#### function level\n\n```python\nclass MyClass(object):\n\n  @clocked\n  def will_be_timed(self):\n    ...\n\n  def will_not_be_timed(self):\n    ...\n\n```\n\nDecorators aren't specific to classes, so you can apply them to individual\nfunctions like so\n\n```python\n@clocked\ndef some_function():\n  ...\n```\n\nHow to use inline\n-----------------\n\nYou can use the Clocked object to time something without using a decorator\n\n```python\nwith Clocked(\"i'm timing this!\"):\n  ...\n```\n\nGenerate a report\n-----------------\n\nTo get at the timing information, the simplest thing to do is generate a report\n\n```python\n>>> Clocked.verbose_report()\n\"\"\"\nAll timing information:\n-----------------------\ntest raw simple (326.5 ms)\n loop 1 (326.5 ms)\n\"\"\"\n>>> Clocked.hotspot_report()\n\"\"\"\nHotspots:\n---------\nloop 4 (164.5 ms [19.9, 22.0], 8 hits)\nloop 3 (160.8 ms [19.9, 20.9], 8 hits)\nloop 2 (1.0 ms [0.2, 0.3], 4 hits)\nloop 1 (0.2 ms [0.2, 0.2], 1 hits)\ntest raw simple (0.0 ms [0.0, 0.0], 1 hits)\n\"\"\"\n```\n\nPerformance\n-----------\n\nTo improve performance when testing single-threaded applications,\nenable faster uuid generation by turning on thread unsafe uuid generation with\n``clocked.cuuid.toggle_thread_unsafe_uuid(True)``",
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