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### Checkin
- Do checkin source (src)
- Do checkin build output (lib)
- Do checkin runtime node_modules
- Do not checkin devDependency node_modules (husky can help see below)
- Do checkin a single index.js file after running `ncc`
- Do not checking node_modules
### devDependencies
### NCC
In order to handle correctly checking in node_modules without devDependencies, we run [Husky](https://github.com/typicode/husky) before each commit.
This step ensures that formatting and checkin rules are followed and that devDependencies are excluded. To make sure Husky runs correctly, please use the following workflow:
In order to avoid uploading `node_modules` to the repository, we use [zeit/ncc](https://github.com/zeit/ncc) to create a single `index.js` file that gets saved in `dist/`.
If you're developing locally you can run
```
npm install # installs all devDependencies including Husky
git add abc.ext # Add the files you've changed. This should include files in src, lib, and node_modules (see above)
git commit -m "Informative commit message" # Commit. This will run Husky
npm install
tsc
ncc build
```
You can also do
```
npm run-script build # runs tsc
npm run-script format # runs prettier --write
npm run-script format-check # runs prettier --check
npm run-script test # runs jest
npm run-script release # runs ncc build
```
During the commit step, Husky will take care of formatting all files with [Prettier](https://github.com/prettier/prettier) as well as pruning out devDependencies using `npm prune --production`.
It will also make sure these changes are appropriately included in your commit (no further work is needed)
Any files generated using `tsc` will be added to `lib/*`, however those files also are not uploaded to the repository and are excluded using `.gitignore`.
### Testing
Tests are included under `_tests_/*` and can be run using `npm run-script test`.
We ask that you include a link to a successful run that utilizes the changes you are working on. For example, if your changes are in the branch `newAwesomeFeature`, then show an example run that uses `setup-python@newAwesomeFeature` or `my-fork@newAwesomeFeature`. This will help speed up testing and help us confirm that there are no breaking changes or bugs.