Helps to benchmark code for Autodesk Maya
Project description
Revl helps to benchmark code for Autodesk Maya.
Upon writing a piece of code for Maya, it might be interesting to know how it performs under different conditions, such as within scenes that are large or small, that define a deep DAG hiearchy or a flat one, that use many node types or only a few, and so on.
Following sets of user-provided commands, Revl can pseudo-randomly generate Maya scenes with different properties against which the behaviour of a piece of code can be observed.
The pseudo-random nature of the process can also help revealing potential bugs by exposing edge cases that were not thought of, thus making it also a good tool for unit testing.
Features
generate scenes by running commands a given total number of times.
fine control over the probability distribution for each command.
scene generations are reproducible using a fixed seed.
extensible with custom commands.
fast (using Maya’s API, not the command layer).
Usage
>>> import revl
>>> commands = [
... (2.0, revl.createTransform,),
... (1.0, revl.createPrimitive, (), {'parent': True})
... ]
>>> count = 100
>>> revl.run(commands, count, seed=1.23)See the tutorial section from the documentation for more examples.
Documentation
Read the documentation online at <http://revl.readthedocs.org> or check their source from the doc folder.
The documentation can be built in different formats using Sphinx.
Running the Tests
A suite of unit tests is available from the tests directory. You can run it by firing:
$ mayapy tests/run.pyTo run specific tests, it is possible to pass names to match in the command line.
$ mayapy tests/run.py TestCase test_my_codeThis command will run all the tests within the TestCase class as well as the individual tests which contains test_my_code in their name.
Get the Source
The source code is available from the GitHub project page.
Contributing
Found a bug or got a feature request? Don’t keep it for yourself, log a new issue on GitHub.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
