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This library is the foundation for [MLonCode](https://github.com/src-d/awesome-machine-learning-on-source-code) research and development.
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It contains commonly used algorithms and tools to process the code-related data, such as [Babelfish's UASTs](https://doc.bblf.sh/), plain code text and other.
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It contains commonly used algorithms and tools to process the code-related data, such as [Babelfish's UASTs](docs.sourced.tech/babelfish), plain code text and other.
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## Contributions
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...are welcome! See [CONTRIBUTING](contributing.md) and [CODE\_OF\_CONDUCT.md](code_of_conduct.md).
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...are welcome! See [CONTRIBUTING.md](docs/CONTRIBUTING.md) and [CODE\_OF\_CONDUCT.md](docs/CODE_OF_CONDUCT.md).
Copy file name to clipboardExpand all lines: docs/CONTRIBUTING.md
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# CONTRIBUTING
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ml-core project is [Apache licensed](license.md) and accepts contributions via GitHub pull
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ml-core project is [Apache licensed](LICENSE.md) and accepts contributions via GitHub pull
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requests. This document outlines some of the conventions on development workflow, commit message formatting, contact points, and other resources to make it easier to get your contribution accepted.
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## Certificate of Origin
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The official support channels, for both users and contributors, are:
* Slack: \#machine-learning room in the [source{d} Slack](https://join.slack.com/t/sourced-community/shared_invite/enQtMjc4Njk5MzEyNzM2LTFjNzY4NjEwZGEwMzRiNTM4MzRlMzQ4MmIzZjkwZmZlM2NjODUxZmJjNDI1OTcxNDAyMmZlNmFjODZlNTg0YWM)
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\*Before opening a new issue or submitting a new pull request, it's helpful to search the project - it's likely that another user has already reported the issue you're facing, or it's a known issue that we're already aware of.
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* The code is formatted according to [](https://www.python.org/dev/peps/pep-0008/).
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* If the PR is a bug fix, it has to include a new unit test that fails before the patch is merged.
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* If the PR is a new feature, it has to come with a suite of unit tests, that tests the new functionality.
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* In any case, all the PRs have to pass the personal evaluation of at least one of the [maintainers](maintainers.md).
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* In any case, all the PRs have to pass the personal evaluation of at least one of the [maintainers](MAINTAINERS.md).
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