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            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
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        "description": "# MLonCode Core Library\n [![Travis build status](https://travis-ci.com/src-d/ml-core.svg)](https://travis-ci.com/src-d/ml-core)\n [![Code coverage](https://codecov.io/github/src-d/ml-core/coverage.svg)](https://codecov.io/github/src-d/ml-core)\n [![Read the Docs](https://img.shields.io/readthedocs/ml-core.svg)](https://readthedocs.org/projects/ml-core/)\n[![Docker build status](https://img.shields.io/docker/build/srcd/ml-core.svg)](https://hub.docker.com/r/srcd/ml-core)\n[![PyPi package status](https://img.shields.io/pypi/v/sourced-ml-core.svg)](https://pypi.python.org/pypi/sourced-ml-core)\n![stability: alpha](https://svg-badge.appspot.com/badge/stability/alpha?color=f47142)\n[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)\n\nThis library is the foundation for [MLonCode](https://github.com/src-d/awesome-machine-learning-on-source-code) research and development. \nIt contains commonly used algorithms and tools to process the code-related data, such as [Babelfish's UASTs](https://docs.sourced.tech/babelfish/uast), plain code text and other.\n\n## Contributions\n\n...are welcome! See [CONTRIBUTING.md](docs/CONTRIBUTING.md) and [CODE\\_OF\\_CONDUCT.md](docs/CODE_OF_CONDUCT.md).\n\n## License\n\n[Apache 2.0](LICENSE.md)\n\n## Glossary\n\nSee [here](docs/GLOSSARY.md).\n\n\n",
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