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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.1",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Topic :: Software Development :: Build Tools"
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        "description": "### Install\n```sh\n$ pip install pybooks\n```\n\n## Usage\n\nSimple usage\n\n```\nfrom pybooks.pbook import Pbooks \n\npbook = Pbooks( author='jerome',\n                title='elements of statistic',\n                weights=(9, 1)) \n         \n\npbook.main()\n```\n\nThe ```weights``` argument is used to calculate the accuracy of all the items found and the final chosen url. For example, a ```weights``` of ```(9, 1)``` will place more important on the author accuracy than title's hence it is more likely that the result will have author's name more similar to the input. Default weights are ```(1, 1)```\n\nOptional arguments are ```show_result: Print the result at the end or not```, ```threshold: Only print result with accuracy higher than threshold``` and ```log: Show process while running or not```, etc. More arguments can be found in the documentation of the code.\n\n### You can modify or add additional sources by editing the file pybooks/sources.json and follow the existing format within the file.\n\n### Sources.json format, rules\n\nExample: \n[Library Genesis with elements of statistics as search term](http://gen.lib.rus.ec/search.php?&req=elements+of+statistics&phrase=1&view=simple&column=def&sort=def&sortmode=ASC&page=1)\n\nThe only components we need in the URL are: ```request: ?req=...```, ```delimiter: + (elements+of+statistics)``` and ```pagination: \npage=...``` and ```term_concatenation: & (req=...&page=...)```\n\n```\nINSIDE SOURCES.JSON\n\nURL: main url without search terms\nURL_RULES: dictionary contains keys and values as search rules.\nHTML_RULES: Contains nested dictionary represent necessary components to conduct searches such as tags, attributes for titles, authors, rows and page body\n.POSITION: The position of the that element in the row if there are other similar elements with similar tag and attributes, leave as null if it is unique\n.TAG: The tag of the desired element\n.ATTRIBUTE: Attributes of the tag, for exanple: {\"class\": \"id\", \"...\": \"..\", ...}. Leave the value of a key as true if an attribute has no value\n```\n### COMMAND LINE USAGE\nYou can use the package directly from the command line\nExample: Searching a book with title: \"Elements of statistical learning\" and author: \"Jerome Friedman\"\nYou can add pbook.exe to environment variables and use it from the command line by this command with ```%PATH%``` as your path to pybooks directory (folder), usually found in ```\\Python{version}\\Lib\\pybooks```.\n```sh\nsetx PATH \"%PATH%\n```\n\n```sh\npbook -a \"jerome friedman\" -t \"elements of statistical learning\"\n```\n```sh\nOPTIONAL ARGUMENTS\n-h, --help            show this help message and exit\n  -a AUTHOR, --author AUTHOR\n                        Author of the book you want to find\n  -t TITLE, --title TITLE\n                        Title of the book you want to find\n  -w WEIGHTS, --weights WEIGHTS\n                        Assign author and title weight to the final accuracy\n                        calculation\n  -th THRESHOLD, --threshold THRESHOLD\n                        Only get results above the threshold amount\n  -l LOG, --log LOG     Print out the process\n  -s SHOW, --show SHOW  Show result at the end of running\n  -br BREAK_AT, --break-at BREAK_AT\n                        Stop when encounter a book with accuracy higher than\n                        or equal to this number\n  -m METHOD, --method METHOD\n                        Choose a book evaluation method\n\n```\n\n### LICENSE\n\nMIT",
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