Continuous Integration Practices#

Before merging any changes into the Landlab trunk, all unit tests (including doctests) should be passing. In addition, any new features added to Landlab should have an associated set of unit tests to verify that the new features are working properly.

Landlab uses Travis for continuous integration testing on OSX and Linux. The landlab page on Travis shows the latest testing results. A new set of tests are executed whenever any changes are pushed to the Landlab repository and with every pull request. We currently run test suites for Python versions 3.6 and 3.7 (soon to include 3.8).

Continuous integration for Windows is done on Appveyor and also tests for the same Python versions as OSX and Linux.

Once you send a pull request from GitHub, you will be taken to the Landlab pull request page and all unit tests are run. You will see the status of the unit tests next to your latest commit description. If you see a green check, all tests passed and your changes can be merged! However, if you see an ex there was a problem running the tests. If you believe your changes are responsible for the failures, please fix them until the tests pass. Note that you do not need to send a new pull request after committing for fixes. They will be added to the current pull request and the tests automatically rerun.

You can also run unit tests locally in the top landlab directory and typing

$ pytest

Note that this will test whatever version of landlab you have installed, which may or may not be the one you are working on in your current working directory. These test will not work with numpy 1.14.

TODO: Add information about coverage here.