A simple program for calling stress and/or stress-ng from python
stressypy uses the unix package stress to stress a certain number of cpus for a certain amount of time, as specified by the user. It creates JobBlock objects which contain pertinent information for using these stress loads to test queueing algorithms.
The JobBlock class is used to store any function and its cpu width and time height.
- n_cpu: number of cpus being stressed
- t_run: the time it will take to run the job
- func: the function the block is storing
- func_args: the arguments for the function the block is storing
- job: a combination of the func and arg to return the complete job that the block should execute
|input||n_cpu: number of cpus being stressed|
|input||t_run: the time it will take to run the job|
|set with set_job()||func: the function the block is storing|
|set with set_job()||func_args: the arguments for the function the block is storing|
|calculated||job: a combination of the func and arg to return the complete job that the block should execute|
stressypy can be installed with pip install stressypy
or cloned manually and setup with python setup.py install
stressypy is dependent on the stress unix package. Make sure you have it installed.
|Debian||sudo apt-get install stress|
|Arch Linux||pacman -S stress|
stressypy runs using the command stressy stress with the number of cpus and time passed as arguments
- stressy stress 1 1 stresses 1 core for 1 second
- stressy stress 7 3 stresses 7 cores for 3 second
Release history Release notifications
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size stressypy-0.0.12.tar.gz (3.1 kB)||File type Source||Python version None||Upload date||Hashes View hashes|