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        "author": "Tianyi Li",
        "author_email": "tianyikillua@gmail.com",
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            "Development Status :: 4 - Beta",
            "Intended Audience :: Science/Research",
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            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Physics"
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        "description": "# Data-driven solver for truss structures\n\n[![travis](https://img.shields.io/travis/tianyikillua/ddtruss.svg?style=flat-square)](https://travis-ci.org/tianyikillua/ddtruss)\n[![codecov](https://img.shields.io/codecov/c/github/tianyikillua/ddtruss.svg?style=flat-square)](https://codecov.io/gh/tianyikillua/ddtruss)\n[![readthedocs](https://readthedocs.org/projects/ddtruss/badge/?version=latest&style=flat-square)](https://readthedocs.org/projects/ddtruss/?badge=latest)\n[![pypi](https://img.shields.io/pypi/v/ddtruss.svg?style=flat-square)](https://pypi.org/project/ddtruss)\n\nThis repository provides a Python implementation of the data-driven solver for truss structures described in [Kirchdoerfer, T., & Ortiz, M. (2016). Data-driven computational mechanics. Computer Methods in Applied Mechanics and Engineering, 304, 81-101](https://www.sciencedirect.com/science/article/pii/S0045782516300238).\n\n<p align=\"center\">\n  <img src=\"https://user-images.githubusercontent.com/4027283/63096980-9561cb00-bf6f-11e9-88a7-d07081138f19.png\" width=\"800\">\n</p>\n\nSome notebook examples can be found in `examples`.\n\nDocumentation is available [here](https://ddtruss.readthedocs.io).\n\n### Installation\n\nTo install `ddtruss`, you are invited to use `pip` and its associated options\n```\npip install -U ddtruss\n```\n\n### Testing\n\nTo run the `ddtruss` unit tests, check out this repository and type\n```\npytest\n```\n\n### License\n\n`ddtruss` is published under the [MIT license](https://en.wikipedia.org/wiki/MIT_License).\n\n\n",
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