This page provides technical notes for the developers of the Linguistica 5 project group. For introductory background about the Linguistica 5 codebase, please consult Codebase.
None of the development notes below are new, as they all come from the collective wisdom of the open-source and software development community – notably, for what is known as “gitflow”. They should be taken as best practice recommendations, and nothing is set in stone. While your general goal is to get pull requests up, the way how you make pull requests is entirely up to you. Naturally, you can deviate from any of the advice given here; in that case, you are on your own and you know what you are doing.
Never commit changes to a master branch.
Not even at your own fork – this ensures that the master branch is always clean and serves as a fall back.
Create task-specific branches.
Never create a branch like “develop” and “research” and plan to vomit a huge amount of your great work into it before making any pull requests (this would make code review impossible). Think of a branch as something much more concrete like a mini project, with branch names like “add-feature-x” or “fix-function-x”.
Keep pull requests small.
A pull request has to be small (say, fewer than 300 lines of changes) so that the code review can be done efficiently and effectively with useful feedback.
Follow PEP 8 in coding.
Setting up the development environment¶
To work on the Linguistica 5 code:
Set up a personal GitHub account
If you are creating a new GitHub account, pick a username preferably with lowercase letters only, e.g. “joesmith”. The Linguistica 5 codebase is hosted on GitHub. Your contributions will be added to it via the GitHub interface.
Download and install Git
Git is the version control system of the Linguistica 5 project. Your contributions will be managed and uploaded from your local drive to GitHub by Git.
Download and install Miniconda
If you are sure that you have Python 3 with the required dependencies (NumPy, SciPy and networkx) and are happy to use it for the Linguistica 5 development work, then you may skip this section. Otherwise, consider using Miniconda (get Python 3.5).
Miniconda allows you to set up specific environments with a specific version of Python and dependencies. For our purposes, you can use Miniconda to create a dedicated environment for the Linguistica 5 project (and no other projects). Having such a dedicated environment is desirable as you are likely working on multiple projects at any given time (Linguistica 5 being just one of them), and you don’t want the environment for one project to contaminate that for another project.
After Miniconda is installed, run the following command to create the new environment for Linguistica 5:
$ conda create -n lxa5 python=3.5 numpy scipy networkx
This command creates the new environment called
lxa5with Python 3.5 as well as the specified dependencies for Linguistica 5. After this command is done with all the installation work, run the following to activate the new environment
$ source activate lxa5
Now you are in the
lxa5environment (no longer in the root environment). As an indicator for this change, your command line prompt is now prefixed with
(lxa5). Whenever you are working on the Linguistica 5 codebase, be sure you are in this environment at your command line (otherwise you might get puzzled from time to time: “I thought I had the correct Python version, but it’s not right?” or “I thought I already had SciPy but it says it’s not there?” etc.). If you run
pythonnow, you will see the Python interpreter says it is the Python 3.5 distribution by Continuum Analytics, Inc. (the company that maintains Miniconda).
To deactivate the environment (for going back to the root environment, or for preparing to switch to another environment), simply run this:
$ source deactivate
Getting Linguistica 5¶
To download the Linguistica 5 codebase for development work:
Log on to your GitHub account and go to https://github.com/linguistica-uchicago/lxa5
At the top right hand corner, click “Fork”. (If prompted for “where should we fork this repository”, choose your own personal GitHub username.)
Now under your personal GitHub account, you see a new repository called “lxa5”.
Clone this repository onto your local disk using Git, and also install the Linguistica 5 Python library:
$ git clone https://github.com/<your-github-username>/lxa5.git $ cd lxa5 $ python setup.py develop
In the last command just above,
pythonis meant to point to the specific Python 3 interpreter you are using for the Linguistica 5 project. Depending on how your Python distribution is set up, the command you need could be something else, e.g.
python3. Also, if you’re on Linux, you will probably need
Now you have the Python library (called
linguistica) installed in development mode (i.e. changes in source code are immediately effective – no need to uninstall and reinstall to try out new code).
Add a link to the linguistica-uchicago/lxa5 repository:
$ git remote add upstream https://github.com/linguistica-uchicago/lxa5.git
This command adds a new link to the linguistica-uchicago/lxa5 repository (not your fork on GitHub) and names it as “upstream”. From time to time, you will need to keep your local copy of the Linguistica 5 codebase up-to-date by pulling the latest code from the linguistica-uchicago/lxa5 repository. This added link (with the name “upstream”) tells Git where to pull updates from.
By default, after you have cloned and created a copy of Linguistica 5 on your local drive (in step 4 above), there is already a link called “origin” set up and linked to your fork on GitHub. Run the following to verify you have “origin” pointing to your fork and “upstream” pointing to linguistica-uchicago/lxa5:
$ git remote -v
Committing changes and making a pull request¶
After you have set up your system and downloaded Linguistica 5 as described above, you are now (almost) ready to do awesome work!
Verify that the master branch on your local drive is up-to-date in sync with the master on linguistica-uchicago/lxa5.
It is important to make sure you start working with the latest codebase:
$ git checkout master # go to master branch $ git pull upstream master # pull latest from master branch of upstream
Recall that “upstream” means the linguistica-uchicago/lxa5 repository.
Create a new branch for your great work.
Never work from the master branch. (Run “git branch” anytime to see what branches you have and which branch you’re on.)
Instead, work on a different branch whose name indicates what you are doing, e.g. “revamp-stems-to-signatures”, “update-docs”, “fix-bug-in-function-x”:
$ git checkout -b <branch-name>
After this command is run, the new branch is created and you are on that branch as well (no longer on master branch).
Start committing changes to source code.
Now (and finally!) you can actually make changes to the source code. Make changes incrementally and commit them with Git. Run this pair of commands for each commit:
$ git add <files-changed> $ git commit -m "<commit-message>"
<files-changed>can be a single file (e.g.
foo.py) or multiple ones separated by spaces (e.g.
Write brief and meaningful commit messages, e.g. “Fix bug in stems_to_signatures”. Aim at making each commit a logical and meaningful chunk of changes.
Repeat step 3 above as needed.
Repeat step 3 for making more commits on your way to what the branch is for. Limit the number of line changes to below 300 to make efficient and effective code review possible.
Push your changes to your fork on GitHub.
To make your changes available for review and for merging, you will first have to push your changes to your fork on GitHub:
$ git push origin <branch-name>
Recall that “origin” is the (default) name point to your fork <your-github-username>/lxa5 on GitHub.
Make a pull request.
Log on to your GitHub and go to your fork <your-github-username>/lxa5. Now you are ready to make a pull request (i.e. you want linguistica-chicago/lxa5 to get the changes from your <branch-name> of <your-github-name>/lxa5, as it were). Click “Pull request” (or something like “Make pull request” – it should be something fairly prominent visually). Create the pull request by giving your pull request a title (most probably something very similar to the branch name) and providing brief notes on what the new changes are in the “comments” section. Now you’ll wait for feedback.
Start a new branch for a new mini project.
After all your hard work in the pull request has been accepted (= merged into linguistica-uchicago/lxa5), you can go back to step 1 to update your master branch for the latest code and prepare for a new branch and an upcoming pull request!