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    "info": {
        "author": "PayScale, Inc.",
        "author_email": "pypi@payscale.com",
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        "classifiers": [
            "License :: OSI Approved :: Apache Software License",
            "Programming Language :: Python :: 3.7",
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        "description": "# Fables - (F)ile T(ables)\n\n[![CircleCI](https://circleci.com/gh/payscale/fables.svg?style=svg)](https://circleci.com/gh/payscale/fables)\n[![Apache2.0License](https://img.shields.io/hexpm/l/plug.svg)](LICENSE)\n[![Checked with mypy](http://www.mypy-lang.org/static/mypy_badge.svg)](http://mypy-lang.org/)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)\n\n\n## For users:\n\nParse the tabular data in the input file:\n```\nimport fables\n\nfor parse_result in fables.parse('myfile.zip'):\n    for table in parse_result.tables:\n        print(table.name)\n        print(table.df.head())\n    for error in parse_result.errors:\n        print(error.message)\n```\n\nInspect the contents of the input file:\n```\nnode = fables.detect('myfile.zip')\nprint(node.name)\nprint(node.mimetype)\n\nfor child in node.children:\n    print(child.name)\n    print(child.mimetype)\n```\n\nNote if you've already discovered the input tree from `detect()`,\nyou can pass it into `parse()`:\n```\nparse_results = parse(tree=node)\n```\n\nHandling encrypted `zip`, `xlsx`, and `xls` files:\n```\nnode = fables.detect('encrypted.xlsx')\nassert node.encrypted\nnode.add_password('encrypted.xlsx', 'fables')\nassert not node.encrypted\n```\nYou can also supply a passwords dictionary (filename -> password) \ninto detect and parse:\n```\nnode = fables.detect(\n    'encrypted.zip',\n    passwords={\n        'encrypted.zip': 'fables',\n        # an encrypted file inside the zip\n        'encrypted.xlsx': 'foobles',\n    }\n)\n# and/or parse\nparse_results = fables.parse(\n    'sub_dir',\n    passwords={\n        'sub_dir/encrypted.xlsx': 'fables',\n        'sub_dir/encrypted.xls': 'foobles',\n    },\n)\n```\n\n\n### Installation\nThe python library [`python-magic`](https://github.com/ahupp/python-magic)\nrequires additional system dependencies. There are installation instructions\nthere, but here are recommended routes to try:\n\n- on OSX: `brew install libmagic`.\n\n- on Windows: [this](https://pypi.org/project/python-magic-bin/)\n`pip install python-magic-bin` will install a built version using\nctypes to access the libmagic file type identification library.\n\nThen `pip install -r requirements.txt` should do the trick.\n\n## For contributors:\n\n### Tests\n- all tests: `pytest`\n  - coverage: `pytest --cov=fables tests`\n- integration: `pytest tests/integration`\n  - coverage: `pytest --cov=fables tests/integration`\n- unit: `pytest tests/unit`\n  - coverage: `pytest --cov=fables tests/unit`\n\nNote all the coverage statistics are for statements.\n\n### Type checking with mypy\n- `mypy fables` \n\n### Linting\n- We enforce flake8:\n  - `flake8 .`\n\n### Run test, type checking, and linter all at once\n- `nox`\n\n\n\n",
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        "license": "Apache 2.0",
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        "name": "fables",
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