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        "author": "Vincent Russo",
        "author_email": "vincentrusso1@gmail.com",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 2.7",
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        "description": "scirate\n------------\n\nPython wrapper for extracting information from Scirate :microscope:\n\n|Build Status| |Documentation Status| |Coverage Status| |Latest Version| \n|Supported Python versions| |License|\n\n.. image:: https://i.imgur.com/QONau8z.png?1\n   :width: 100\n   :height: 100\n\nThis package provides a Python interface for the `Scirate website <https://scirate.com>`__.\n\nDependencies\n------------\n\nThis package depends on the following packages:\n\n- bs4\n- lxml\n- requests\n\nThey can be installed using ``pip``.\n\n::\n\n    sudo pip install -r requirements.txt\n\nIf you want to contribute to this package, you will need the ``nose`` package as well.\n\nInstallation\n------------\nThe preferred way to install the ``scirate`` package is via ``pip``\n\n::\n\n    sudo pip install scirate\n\n\nAlternatively to install, you may also run the following command from the top-level package\ndirectory.\n\n::\n\n    sudo python setup.py install\n\n\nExamples\n--------\n\nThis package provides a Python interface for interfacing with the Scirate\nwebsite. Here are a few examples demonstrating how to access data on \nScirate.\n\nClients\n~~~~~~~\nIn order to interface with the content on Scirate, we start off my \ncreating a client. This client will be responsible for requesting\ninformation from Scirate and will serve as the intermediary for \nrequesting and obtaining data.\n\n.. code:: python\n\n    from scirate.client import ScirateClient\n    \n    client = ScirateClient()\n\n\nPapers\n~~~~~~\n\nLet us access a paper on Scirate via the arXiv identifier. Say we want to\naccess information via Scirate on the following `listing 1509.01147 <https://arxiv.org/abs/1509.01147>`__.\n\nWe can grab some of the basic information, such as the authors, title, abstract, arXiv category, \netc.\n\n.. code:: python\n\n    >>> from scirate.paper import SciratePaper\n    >>> paper = client.paper(\"1509.01147\")\n    >>> \"The Information Paradox for Black Holes\"\n    >>> paper.authors\n    >>> ['S. W. Hawking']\n    >>> paper.abstract[0:50]\n    >>> \"I propose that the information loss paradox can be\"\n    >>> paper.category\n    >>> \"hep-th\"\n\nWe can also grab some of the more Scirate-specific metrics. Such as the number of\nscites for a given article, who scited the article, etc.\n\n.. code:: python\n\n    >>> paper.scites\n    >>> 6\n    >>> paper.scitors\n    >>> ['Andrew Childs', 'Jonny', 'Mehdi Ahmadi', 'Noon van der Silk', 'Ryan L. Mann', 'Tom Wong']\n   \nConsult the documentation for further examples of information that can be obtained\nfrom a paper.   \n    \nAuthors\n~~~~~~~\n\nYou can get information about an author as well.\n\n.. code:: python\n\n    >>> from scirate.author import ScirateAuthor\n    >>> author = client.author(\"Terrance\", \"Tao\", \"math.CO\")\n    >>> author\n    >>> \"Terrance Tao\"\n    >>> author.papers[0]\n    >>> \"An inverse theorem for an inequality of Kneser\"\n    >>> author.arxiv_ids[0]\n    >>> \"1711.04337\"\n\nUsing the arXiv identifier along with what we did in the Papers\nsection, we can obtain further information about that paper if \nwe wish\n\n.. code:: python\n\n    >>> paper = client.paper(author.arxiv_ids[0])\n    >>> paper.scites\n    >>> 0\n    \nNote that the mathematician Terrance Tao published on multiple arXiv \ncategories. We can look up his papers under the math.NT category as \nwell.\n\n.. code:: python\n\n    >>> author = client.author(\"Terrance\", \"Tao\", \"math.NT\")\n    >>> author.papers[0]\n    >>> \"Long gaps in sieved sets\"\n    >>> author.category\n    >>> math.NT\n    \nCategories\n~~~~~~~~~~\n\nOne may also wish to look at papers under various arXiv identifier\nlistings on Scirate. For instance, one may wish to find all of the \npapers posted under the 'quant-ph' category posted on September 7, 2017.\n\n.. code:: python\n\n    >>> from scirate.category import ScirateCategory\n    >>> category = client.category(\"quant-ph\", \"09-07-2017\")\n    >>> category.papers[0:2]\n    >>> ['Quantum Advantage from Conjugated Clifford Circuits', 'Extended Nonlocal Games from Quantum-Classical Games']\n\nDocumentation\n-------------\n\nRead more about this package\n`here <http://scirate.readthedocs.org/en/latest/>`__.\n\n\nContribution\n------------\n\nIf you find an API method that is not supported by this package, feel\nfree to create a Github issue. Also, you are more than welcome to submit\na pull request for a bug fix or additional feature.\n\n\nLicense\n-------\n\n`MIT License <http://opensource.org/licenses/mit-license.php>`__\n\n.. |Build Status| image:: http://img.shields.io/travis/vprusso/scirate.svg\n   :target: https://travis-ci.org/vprusso/scirate\n.. |Coverage Status| image:: http://img.shields.io/coveralls/vprusso/scirate.svg\n   :target: https://coveralls.io/r/vprusso/scirate\n.. |Documentation Status| image:: https://readthedocs.org/projects/scirate/badge/?version=latest\n   :target: https://readthedocs.org/projects/scirate/?badge=latest   \n.. |Latest Version| image:: https://img.shields.io/pypi/v/scirate.svg\n   :target: https://pypi.python.org/pypi/scirate/\n.. |Supported Python versions| image:: https://img.shields.io/pypi/pyversions/scirate.svg\n   :target: https://pypi.python.org/pypi/scirate/\n.. |License| image:: https://img.shields.io/pypi/l/scirate.svg\n   :target: https://pypi.python.org/pypi/scirate/",
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