| commit | 0e022088bcf9f681d7ce7aadfa1946db65912393 | [log] [tgz] |
|---|---|---|
| author | Javi Merino <javi.merino@arm.com> | Thu Sep 08 18:32:51 2016 +0100 |
| committer | Javi Merino <javi.merino@arm.com> | Thu Sep 08 18:32:51 2016 +0100 |
| tree | 21d3c69271153bf73be25d3d4bfb2213efaa7391 | |
| parent | 5ad0b7b751a7c4cc318df90b8a1260cb9d453772 [diff] |
ipynb: remove the add_parsed_event() hack in the UseCaseExamples notebook
The bart check of util estimation in the
UseCaseExamples_SchedTuneAnalysis notebook starts with code to add the
sched_boost_task event filtered by comm back to the trappy FTrace object
which is a hack. This is needed because trappy's grammar module
couldn't do it when the notebook was originally written. trappy learned
to apply filters in its Parser() object in version 5.7.0, which led to
the simplification of the similar SchedTune test in
b9d488f58ab2 ("tests: simplify stune's boosted utilization signal
test").
Apply a similar change to the UseCaseExamples_SchedTuneAnalysis ipython
notebook. This way the test is simpler and we educate our users on the
ability to use filters with the Analyzer.
NOTE: This is still a work in progress project, suitable for: developers, contributors and testers.
None of the provided tests should be considered stable and/or suitable for the evaluation of a product.
The LISA project provides a toolkit that supports regression testing and interactive analysis of workload behavior. LISA stands for Linux Integrated/Interactive System Analysis. LISA's goal is to help Linux kernel developers to measure the impact of modifications in core parts of the kernel. The focus is on the scheduler, power management and thermal frameworks. However LISA is generic and can be used for other purposes too.
LISA provides an API for modeling use-cases of interest and developing regression tests for use-cases. A ready made set of test-cases to support regression testing of core kernel features is provided. In addition, LISA uses the excellent IPython notebook framework and a set of notebooks are provided for live experiments on a target platform.
This project is licensed under Apache-2.0.
This project includes some third-party code under other open source licenses. For more information, see lisa/tools/LICENSE.*
Contributions are accepted under Apache-2.0. Only submit contributions where you have authored all of the code. If you do this on work time make sure your employer is cool with this.