Python nose-random is designed to facilitate Monte-Carlo style unit testing. The idea is to improve testing by running your code against a large number of randomly generated input scenarios.

Even with random testing it's important that test success/failure is reproducible, otherwise it's hard to

* know if you've fixed a failing test
* know if an test fails only on some machines or configurations and not
others
* debug a failing test
nose-random avoids this pitfall because it

* uses a fixed seed so that each test run is identical
* tells you which scenario caused a test to fail
* lets you to run the test only on a specific scenario to facilitate
debugging
This package provides the Python 2 version of the module.