| 1 | ________________________________________________________________________
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| 2 |
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| 3 | PYBENCH - A Python Benchmark Suite
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| 4 | ________________________________________________________________________
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| 5 |
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| 6 | Extendable suite of of low-level benchmarks for measuring
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| 7 | the performance of the Python implementation
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| 8 | (interpreter, compiler or VM).
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| 9 |
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| 10 | pybench is a collection of tests that provides a standardized way to
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| 11 | measure the performance of Python implementations. It takes a very
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| 12 | close look at different aspects of Python programs and let's you
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| 13 | decide which factors are more important to you than others, rather
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| 14 | than wrapping everything up in one number, like the other performance
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| 15 | tests do (e.g. pystone which is included in the Python Standard
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| 16 | Library).
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| 17 |
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| 18 | pybench has been used in the past by several Python developers to
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| 19 | track down performance bottlenecks or to demonstrate the impact of
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| 20 | optimizations and new features in Python.
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| 21 |
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| 22 | The command line interface for pybench is the file pybench.py. Run
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| 23 | this script with option '--help' to get a listing of the possible
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| 24 | options. Without options, pybench will simply execute the benchmark
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| 25 | and then print out a report to stdout.
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| 26 |
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| 27 |
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| 28 | Micro-Manual
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| 29 | ------------
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| 30 |
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| 31 | Run 'pybench.py -h' to see the help screen. Run 'pybench.py' to run
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| 32 | the benchmark suite using default settings and 'pybench.py -f <file>'
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| 33 | to have it store the results in a file too.
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| 34 |
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| 35 | It is usually a good idea to run pybench.py multiple times to see
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| 36 | whether the environment, timers and benchmark run-times are suitable
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| 37 | for doing benchmark tests.
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| 38 |
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| 39 | You can use the comparison feature of pybench.py ('pybench.py -c
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| 40 | <file>') to check how well the system behaves in comparison to a
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