title: Distributed unit testing and code coverage in Python
body: <p>My current project has a policy of 100% code coverage from its unit tests.  Our continuous integration service will not allow developers to push code without 100% coverage.</p>
  
  <p>As the project has grown, so has the time to run the full test suite.  While developers typically run a subset of tests relevant to the code they are changing, they will usually do one final full run before submitting to CI, and the CI server itself also runs the full test suite.</p>
  
  <p>Unit tests by their nature are highly parallelizable, as they are self-contained and stateless from test to test.  They return only two pieces of information: pass/fail and the lines of code covered.  A map/reduce solution seems like it would work very well.</p>
  
  <p>Are there any Python testing frameworks that will run tests across a cluster of machines with code coverage and combine the results when finished?</p>