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        "author": "Tim McNamara",
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            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Natural Language :: English",
            "Programming Language :: Python :: 3",
            "Topic :: Software Development :: Libraries",
            "Topic :: Text Processing",
            "Topic :: Utilities"
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        "description": "\n# detect_delimiter\n\n## About\n\nDetects the delimiter used in CSV, TSV and other ad hoc file formats.\n\n## Installation\n\nUse `pip install detect_delimiter`\n\n## Usage\n\n`detect_delimiter` exposes the `detect()` functinon, which takes a `str`\nas input and returns a delimiter.\n\n    >>> from detect_delimiter import detect\n    >>> detect(\"looks|like|the vertical bar\\n is|the|delimiter\\n\")\n    '|'\n\nWhen `detect()` doesn't know, it returns `None`:\n\n    >>> text = \"not really any delimiters in here.\\nthis is just text.\\n\"\n    >>> detect()\n\nIt's possible to provide a default, which will be used in that case:\n\n    >>> detect(text, default=',')\n    ','\n\n\nBy default, `detect()` will prevent avoid checking alpha-numeric characters\nand the period/full stop character (\".\"). This can be adjusted via \nthe `blacklist` parameter.\n\nIf you believe that you know the delimiter, it's possible to provide\na list of possible delimiters to check for via the `whitelist` parameter.\nIf you don't provide a value, `[',', ';', ':', '|', '\\t']` will be checked.\n\n## Testing\n\nYou can either use `pytest` or `tox` directly from the project's root directory.\n\n",
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