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        "description": "# Common code for D3M project\n\nThis package provides a core package for D3M project with common code available.\nIt contains standard interfaces, reference implementations, and utility implementations.\n\n## Installation\n\nThis package works with Python 3.6+ and pip 19+. You need to have the following packages installed on the system (for Debian/Ubuntu):\n\n* `libssl-dev`\n* `libcurl4-openssl-dev`\n\nYou can install latest stable version from [PyPI](https://pypi.org/):\n\n```\n$ pip3 install d3m\n```\n\nTo install latest development version:\n\n```\n$ pip3 install git+https://gitlab.com/datadrivendiscovery/d3m.git@devel\n```\n\nWhen cloning a repository, clone it recursively to get also git submodules:\n\n```\n$ git clone --recursive https://gitlab.com/datadrivendiscovery/d3m.git\n```\n\n## Changelog\n\nSee [HISTORY.md](./HISTORY.md) for summary of changes to this package.\n\n## Documentation\n\nDocumentation for the package is available at [https://docs.datadrivendiscovery.org/](https://docs.datadrivendiscovery.org/).\n\n## Contributing\n\nSee [CODE_STYLE.md](./CODE_STYLE.md) for our coding style and contribution guide. Please ensure any merge requests you open follow this guide.\n\n## Repository structure\n\n`master` branch contains latest stable release of the package.\n`devel` branch is a staging branch for the next release.\n\nReleases are [tagged](https://gitlab.com/datadrivendiscovery/d3m/tags).\n\n## About Data Driven Discovery Program\n\nDARPA Data Driven Discovery (D3M) Program is researching ways to get machines to build\nmachine learning pipelines automatically. It is split into three layers:\nTA1 (primitives), TA2 (systems which combine primitives automatically into pipelines\nand executes them), and TA3 (end-users interfaces).",
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