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    "info": {
        "author": "Jens Reidel",
        "author_email": "jens.reidel@gmail.com",
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            "License :: OSI Approved :: MIT License",
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            "Programming Language :: Python :: 3"
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        "description": "# bookgen\n\nA python library using nltk to analyse two books and generate a new one.\n\n## Installation\n\n`pip install bookgen`\n\n## Usage\n\n```py\nfrom bookgen import BookGen\n\nbook = BookGen(\"word_base_book.txt\", \"sentence_base_book.txt\")\n# book.download() will download the nltk extras required, only needed once\n\nprint(book.run())\n```\n\n## Explanation\n\nBookGen will parse word classes from the first specified book, looking like this:\n\n`{\"NOUN\": [\"Mountain\", \"Valley\"], \"VERB\": [\"take\", \"went\"]}`\n\nThese are sorted by the nltk universal tagset.\n\nThe second book serves as sentence base. It will be parsed into a list of word types that represent the whole book.\n\n`[\"NOUN\", \"VERB\", \"PREP\", \"NOUN\", \"CONJ\", \"VERB\", \".\"]`\n\nThen, it generates a list of words from the words of the first book based on the second book.\n\n`[\"Nathan\", \"went\", \"to\", \"Valley\", \"and\", \"peed\", \".\"]`\n\nThis is joined with some capitalization fixes and returned.\n\n\n",
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        "license": "MIT",
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        "name": "bookgen",
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        "summary": "Generates books based on other books using nltk",
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