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    "info": {
        "author": "Graham Clendenning",
        "author_email": "graham.clendenning@uoit.net",
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        "description": "cyberspacy: cybersecurity datatypes for spaCy\n*********************************************\n\n`spaCy v2.0 <https://spacy.io/usage/v2>`_ extension and pipeline component\nfor adding meta data about IPs, email addresses and URLs to ``Doc`` objects.\nHeavily inspired by `spacymoji <https://github.com/ines/spacymoji>`_.\n\nInstallation\n===============\n\n``cyberspacy`` requires ``spacy`` v2.0.0 or higher.\n\nPyPI release coming soon.\n\nUsage\n========\n\nImport the component and initialise it with the shared ``nlp`` object (i.e. an\ninstance of ``Language``), which is used to initialise the ``PhraseMatcher``\nwith the shared vocab, and create the match patterns. Then add the component\nanywhere in your pipeline.\n\n.. code:: python\n\n    import spacy\n    from spacy.lang.en import English\n    from cyberspacy import IPDetector\n    nlp = English()\n    ip_detector = IPDetector(nlp)\n    nlp.add_pipe(ip_detector, first=True)\n    doc = nlp(u'This is a sentence which contains 2.3.4.5 as an IP address')\n    assert doc._.has_ipv4 == True\n    assert doc[0]._.is_ipv4 == False\n    assert doc[6]._.is_ipv4 == True\n    assert len(doc._.ipv4) == 1\n    idx, ipv4_token = doc._.ipv4[0]\n    assert idx == 6\n    assert ipv4_token.text == '2.3.4.5'\n\n``cyberspacy`` only cares about the token text, so you can use it on a blank\n``Language`` instance (it should work for all\n`available languages <https://spacy.io/usage/models#languages>`_!), or in\na pipeline with a loaded model. \n\nAvailable attributes\n--------------------\n\nThe extension sets attributes on the ``Doc``, ``Span`` and ``Token``. You can\nchange the attribute names on initialisation of the extension. For more details\non custom components and attributes, see the\n`processing pipelines documentation <https://spacy.io/usage/processing-pipelines#custom-components>`_.\n\nThe attributes provided by the IPDetector class are:\n\n===================== ======= ===\n``Token._.is_ipv4``   bool    Whether the token is an IPv4 address.\n``Doc._.has_ipv4``    bool    Whether the document contains an IPv4 address.\n``Doc._.ipv4``        list    ``(index, token)`` tuples of the document's IPv4 addresses.\n``Span._.has_ipv4``   bool    Whether the span contains IPv4 addresses.\n``Span._.ipv4``       list    ``(index, token)`` tuples of the span's IPv4 addresses.\n===================== ======= ===\n\nThe attributes provided by the URLDetector class are:\n\n==================== ======= ===\n``Token._.is_url``   bool    Whether the token is a URL.\n``Doc._.has_url``    bool    Whether the document contains a URL.\n``Doc._.url``        list    ``(index, token)`` tuples of the document's URLs.\n``Span._.has_url``   bool    Whether the span contains a URL.\n``Span._.url``       list    ``(index, token)`` tuples of the span's URLs.\n==================== ======= ===\n\nThe attributes provided by the EmailDetector class are:\n\n=========================   ======= ===\n``Token._.is_email_addr``   bool    Whether the token is an email address.\n``Doc._.has_email_addr``    bool    Whether the document contains an email address.\n``Doc._.email_addr``        list    ``(index, token)`` tuples of the document's email addresses.\n``Span._.has_email_addr``   bool    Whether the span contains an email address.\n``Span._.email_addr``       list    ``(index, token)`` tuples of the span's email addresses.\n=========================   ======= ===\n\n\n\n\n\n",
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        "home_page": "https://github.com/gclen/cyberspacy",
        "keywords": "",
        "license": "MIT",
        "maintainer": "",
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        "name": "cyberspacy",
        "package_url": "https://pypi.org/project/cyberspacy/",
        "platform": "",
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        "summary": "spaCy pipeline component for adding cyber meta data to Doc, Token and Span objects.",
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