Readme.md

Python timing

This is a simple libraire to do fine timing of python application and measure parallelism

Install

pip

pip3 install git+https://gitlab.tetras-libre.fr/tetras-libre/performance-analysis/pyTiming#egg=pyTiming

For developpement

git clone https://gitlab.tetras-libre.fr/tetras-libre/performance-analysis/pyTiming
pip3 install -e .

As a dependency in your setup.py

from setuptools.command.install import install
from setuptools.command.develop import develop
from setuptools import setup, find_packages
import pip

...

gitDeps = [
'git+https://gitlab.tetras-libre.fr/tetras-libre/performance-analysis/pyTiming#egg=pyTiming',
    ]


def customRun(command_subclass):
    orig_run = command_subclass.run

    def modified_run(self):
        for dep in gitDeps:
            pip.main(['install', dep])

        orig_run(self)

    command_subclass.run = modified_run
    return command_subclass

@customRun
class actionsOnInstall(install):
    pass


@customRun
class actionsOnDevelop(develop):
    pass

...

setup(
...
    cmdclass={'install': actionsOnInstall,
              'develop': actionsOnDevelop,
...
)

Usage

from pyTiming import pyTiming
timer = pyTiming.timer() # starts measuring time
. . .

timer.start_step('step1')
. . .
timer.start_step('step1.1')
. . .
timer.end_step('step1.1')
timer.start_step('step1.2')
. . .
timer.end_step('step1.2')
timer.end_step('step1')

timer.start_step('step2')
. . .
timer.end_step('step2')

timer.end() # end all measurements

print(timer.get_analysis())

Warning do not call a step 'main' as this name is used for the global step