If you whish to contribute to the development of the code and/or the documentation, here are a few steps for setting a development environment.
Fork the repository and download the code¶
To further be able to submit modifications, it is preferable to start by forking the xarray-topo repository on GFZ GitLab (ext) (you need to have an account).
Then clone your fork locally:
$ git clone https://gitext.gfz-potsdam.de/your_name_here/xarray-topo
Alternatively, if you don’t plan to submit any modification, you can clone the original xarray-topo git repository:
$ git clone https://gitext.gfz-potsdam.de/sec55-public/xarray-topo
To install the dependencies, we recommend using the conda package manager with the conda-forge channel. For development purpose, you might consider installing the packages in a new conda environment:
$ conda create -n xarray-topo_dev python=3.6 numpy xarray -c conda-forge $ source activate xarray-topo_dev
Then install xarray-topo locally using
$ cd xarray-topo $ pip install -e .
Not yet available!
Contributing to code¶
Below are some useful pieces of information in case you want to contribute to the code.
Once you have setup the development environment, the next step is to create a new git branch for local development:
$ git checkout -b name-of-your-bugfix-or-feature
Now you can make your changes locally.
Once you are done with the changes, you can commit your changes to git and push your branch to your xarray-topo fork on GFZ GitLab:
$ git add . $ git commit -m "Your detailed description of your changes." $ git push origin name-of-your-bugfix-or-feature
(note: this operation may be repeated several times).
We you are ready, you can create a new merge request through the GFZ GitLab website (note that it is still possible to submit changes after your created a pull request).
xarray-topo supports Python versions 3.4 and higher. It is not compatible with Python versions 2.x. We don’t plan to make it compatible with Python 2.7.x unless there are very good reasons to do so.
Not yet available!
Everything (i.e., classes, methods, functions…) that is part of the public API should follow the numpydoc standard when possible.
Source code checker¶
To check about any potential error or bad style in your code, you might want using a source chode checker like flake8. You can install it in your development environment:
$ conda install flake8 -c conda-forge
What’s new entry¶
Every significative code contribution should be listed in the What’s New section of this documentation under the corresponding version.
Contributing to documentation¶
xarray-topo uses Sphinx for documentation, hosted on http://readthedocs.org .
Documentation is maintained in the RestructuredText markup language (
To build the documentation locally, first install requirements (for example here in a separate conda environment):
$ conda env create -n xarray-topo_doc -f doc/environment.yml $ source activate xarray-topo_doc
Then build documentation with
$ cd doc $ make html
The resulting HTML files end up in the
You can now make edits to rst files and run
make html again to update
the affected pages.