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### Checkin
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- Do checkin source (src)
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- Do checkin build output (lib)
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- Do checkin runtime node_modules
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- Do not checkin devDependency node_modules (husky can help see below)
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- Do checkin a single index.js file after running `ncc`
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- Do not checking node_modules
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### devDependencies
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### NCC
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In order to handle correctly checking in node_modules without devDependencies, we run [Husky](https://github.com/typicode/husky) before each commit.
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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:
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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/`.
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If you're developing locally you can run
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```
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npm install # installs all devDependencies including Husky
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git add abc.ext # Add the files you've changed. This should include files in src, lib, and node_modules (see above)
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git commit -m "Informative commit message" # Commit. This will run Husky
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npm install
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tsc
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ncc build
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```
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You can also do
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```
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npm run-script build # runs tsc
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npm run-script format # runs prettier --write
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npm run-script format-check # runs prettier --check
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npm run-script test # runs jest
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npm run-script release # runs ncc build
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```
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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`.
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It will also make sure these changes are appropriately included in your commit (no further work is needed)
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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`.
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### Testing
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Tests are included under `_tests_/*` and can be run using `npm run-script test`.
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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.
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