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        "author": "Daniel Paz Avalos",
        "author_email": "me@dpazavalos.dev",
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        "description": "# HeaderIndexer\nA system to bind aliases to indexes of headers in a matrix. \n\nGiven a dict of header aliases paired to the actual header value (or an iterable of possible values)\ncreates a dict with entries {'alias': column_index} \n\nIncludes interactive prompts to manually select headers when unable to find, and optional duplicate\nchecks for aliases sharing indexes\n\n## Installation\n```\npip install headerindexer\n```\n\n## Using HeaderIndexer\n ```python\nfrom headerindexer import HI\nindexer = HI()\nheaders = [\"Date\", \"OS\", \"TrackingID\", \"DNSHostname\", b\"DNSHostname\", 77]\naliases = {\n    b'hostname':     [\"DNSHostname\", b'DNSHostname'],\n    \"track\":        (\"1TrackingID1\", 'TrackingID'),\n    \"OS\":           \"OperatingSystem\",\n    7:              77\n}\naliases_to_indexes = indexer.run(headers, aliases)\n\n```\n\nAssume we've extracted a row of headers from a spreadsheet. Create a dictionary like aliases, and \npass them both to indexer (HI.run()) \n\n```python\n# aliases_to_indexes, generated above\n{b'hostname': 3, 'track': 2, 'OS': 1, 7: 5}\n```\nThe returned dictionary can be used to reliably call on the appropriate column by given aliases\n\n### Headers not found/Duplicates headers\n\nBy default, when an alias' header cannot be located headerindexer will prompt the user to manually \nselect from a list of all headers, one by one\n\nAdditionally HI.allow_duplicates can be set to False in or after init, enabling a similar mode of \nprompting whenever two or more aliases share the same index value \n\n\n\n",
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