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0c40cdae18
The begining and end of recording timestamps are now stored as part of the recording. This allows to correctly replay recordings where the first event occurs some time after the recording started, or the last event some time before recording ended. Add pre-built revent binaries for the armeabi and arm64 architectures.
Workload Automation
+++++++++++++++++++
Workload Automation (WA) is a framework for executing workloads and collecting
measurements on Android and Linux devices. WA includes automation for nearly 50
workloads (mostly Android), some common instrumentation (ftrace, ARM
Streamline, hwmon). A number of output formats are supported.
Workload Automation is designed primarily as a developer tool/framework to
facilitate data driven development by providing a method of collecting
measurements from a device in a repeatable way.
Workload Automation is highly extensible. Most of the concrete functionality is
implemented via plug-ins, and it is easy to write new plug-ins to support new
device types, workloads, instrumentation or output processing.
Requirements
============
- Python 2.7
- Linux (should work on other Unixes, but untested)
- Latest Android SDK (ANDROID_HOME must be set) for Android devices, or
- SSH for Linux devices
Installation
============
To install::
python setup.py sdist
sudo pip install dist/wlauto-*.tar.gz
Please refer to the `installation section <./doc/source/installation.rst>`_
in the documentation for more details.
Basic Usage
===========
Please see the `Quickstart <./doc/source/quickstart.rst>`_ section of the
documentation.
Documentation
=============
You can view pre-built HTML documentation `here <http://pythonhosted.org/wlauto/>`_.
Documentation in reStructuredText format may be found under ``doc/source``. To
compile it into cross-linked HTML, make sure you have `Sphinx
<http://sphinx-doc.org/install.html>`_ installed, and then ::
cd doc
make html
License
=======
Workload Automation is distributed under `Apache v2.0 License
<http://www.apache.org/licenses/LICENSE-2.0>`_. Workload automation includes
binaries distributed under differnt licenses (see LICENSE files in specfic
directories).
Feedback, Contrubutions and Support
===================================
- Please use the GitHub Issue Tracker associated with this repository for
feedback.
- ARM licensees may contact ARM directly via their partner managers.
- We welcome code contributions via GitHub Pull requests. Please see
"Contributing Code" section of the documentation for details.