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Python perf — perf 0.9.2 documentation

Module is a toolkit to write, run, analyze and modify benchmarks. JSON format to store benchmark results. Command line tool to display, compare, analyze and modify benchmark results. Statistical tools to analyze the distribution of benchmark results. Command supports comparison between multiple benchmark suites (made of multiple benchmarks). Command for quick but reliable Python microbenchmarks. Perf project homepage at GitHub. Download latest perf release at the Python Cheeseshop (PyPI). Enter search te...

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Python perf — perf 0.9.2 documentation | perf.readthedocs.io Reviews
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Python perf — perf 0.9.2 documentation | perf.readthedocs.io Reviews

https://perf.readthedocs.io

Module is a toolkit to write, run, analyze and modify benchmarks. JSON format to store benchmark results. Command line tool to display, compare, analyze and modify benchmark results. Statistical tools to analyze the distribution of benchmark results. Command supports comparison between multiple benchmark suites (made of multiple benchmarks). Command for quick but reliable Python microbenchmarks. Perf project homepage at GitHub. Download latest perf release at the Python Cheeseshop (PyPI). Enter search te...

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Examples — perf 1.1 documentation

http://perf.readthedocs.io/en/latest/examples.html

Method to measure the time elasped when sleeping 1 ms:. Is used to simulate a real workload taking at least 1 ms. Method to performance of sorting a sorted list of 1000 numbers using a. Function (which does nothing):. Sorted(list(range(1000) , key=lambda x: x). F = lambda x: x; s = list(range(1000). Method to measure the time to run the. Bench time func() method. Runner.bench time func(). Method to measure the performance of. Inner-loops: dict[str] is duplicated 10 times. Loop To adjust the final result,.

2

API — perf 1.1 documentation

http://perf.readthedocs.io/en/latest/api.html

The module version can be read from. Tuple of int) or. To an existing benchmark suite file, or create a new file. If the file already exists, adds runs to existing benchmarks. Format a metadata value. The formatter depends on. On Python 3.3 and newer, it’s. On older versions, it’s. On other platforms. See the PEP 418 for more information on Python clocks. See also PEP 418 – Add monotonic time, performance counter, and process time functions. Name of the Python implementation in lower case. Values must no...

3

Runner CLI — perf 1.1 documentation

http://perf.readthedocs.io/en/latest/runner.html

Command line options of the. Default without JIT (ex: CPython): 20 processes, 3 values per process (total: 60 values), and 1 warmup. Default with a JIT (ex: PyPy): 6 processes, 10 values per process (total: 60 values), and 10 warmups. Spend longer running tests to get more accurate results. Multiply the number of. By 2 Default: 40 processes and 3 values per process (120 values). Get rough answers quickly. Divide the number of. By 2 and multiply the number of. Number of values per process (default:. Pytho...

4

perf commands — perf 1.1 documentation

http://perf.readthedocs.io/en/latest/cli.html

The Python perf module comes with a. Program which includes different commands. If for some reasons,. Program cannot be used,. Can be used: it is the same, it’s just longer to type :-) For example, the. Syntax is preferred for. Because this command uses the running Python program. General note: if a filename is. Read the JSON content from stdin. Show benchmarks of one or multiple benchmark suites:. Enables the quiet mode. Displays the benchmark run results, see perf dump. Option of the Runner CLI. 8220;s...

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Python perf — perf 0.9.2 documentation

Module is a toolkit to write, run, analyze and modify benchmarks. JSON format to store benchmark results. Command line tool to display, compare, analyze and modify benchmark results. Statistical tools to analyze the distribution of benchmark results. Command supports comparison between multiple benchmark suites (made of multiple benchmarks). Command for quick but reliable Python microbenchmarks. Perf project homepage at GitHub. Download latest perf release at the Python Cheeseshop (PyPI). Enter search te...

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