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        "author": "Jeffrey R. Spies",
        "author_email": "jspies@gmail.com",
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            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: Software Development :: Testing",
            "Topic :: System :: Benchmark"
        ],
        "description": "=========\nbenchmark\n=========\n\n``benchmark`` is a Python benchmarking framework, similar to Steve Purcell's \n``unittest`` in basic structure. It's as simple as::\n\n    import benchmark\n\n    import math\n    \n    class Benchmark_Sqrt(benchmark.Benchmark):\n\n        each = 100 # allows for differing number of runs\n\n        def setUp(self):\n            # Only using setUp in order to subclass later\n            # Can also specify tearDown, eachSetUp, and eachTearDown\n            self.size = 25000\n\n        def test_pow_operator(self):\n            for i in xrange(self.size):\n                z = i**.5\n\n        def test_pow_function(self):\n            for i in xrange(self.size):\n                z = pow(i, .5)\n\n        def test_sqrt_function(self):\n            for i in xrange(self.size):\n                z = math.sqrt(i)\n\n    class Benchmark_Sqrt2(Benchmark_Sqrt):\n        # Subclass the previous benchmark to change input using\n        # self.setUp()\n\n        label = \"Benchmark Sqrt on a larger range\"\n        # The above label comes from the class name, this oen\n        # comes from the label attribute\n\n        each = 50\n\n        def setUp(self):\n            self.size = 750000\n    \n    if __name__ == '__main__':\n        benchmark.main(format=\"markdown\", numberFormat=\"%.4g\")\n        # could have written benchmark.main(each=50) if the\n        # first class shouldn't have been run 100 times.\n\nwhich produces::\n\n    Benchmark Report\n    ================\n\n    Benchmark Sqrt\n    --------------\n\n             name | rank | runs |     mean |        sd | timesBaseline\n    --------------|------|------|----------|-----------|--------------\n     pow operator |    1 |  100 | 0.004163 | 0.0001469 |           1.0\n    sqrt function |    2 |  100 | 0.004584 |  0.000379 | 1.10126499627\n     pow function |    3 |  100 | 0.005496 | 0.0002709 | 1.32031909568\n\n    Benchmark Sqrt on a larger range\n    --------------------------------\n\n             name | rank | runs |   mean |       sd | timesBaseline\n    --------------|------|------|--------|----------|--------------\n     pow operator |    1 |   50 | 0.1265 | 0.004772 |           1.0\n    sqrt function |    2 |   50 | 0.1375 | 0.004729 |    1.08705384\n     pow function |    3 |   50 | 0.1649 | 0.003935 | 1.30357975885\n\n    Each of the above 450 runs were run in random, non-consecutive order by\n    `benchmark` v0.1.4 (http://jspi.es/benchmark) with Python 2.7.1\n    Darwin-11.3.0-x86_64 on 2012-04-17 19:43:01.\n\nMore examples are available in the example folder or visit \nhttp://jspi.es/benchmark for more information.",
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        "license": "LICENSE.txt",
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