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        "author": "Samuel Kolb",
        "author_email": "samuel.kolb@me.com",
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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
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        "description": "# TaCle: Tabular Constraint Learner\nTaCLe is a constraint learner designed for usage in spreadsheets and tabular data.\n\n## Installation\n\n    pip install tacle\n\n## Using TaCLe\n\n### Running TaCLe from command line\nTaCLe can be used from command line to analyze a CSV file:\n\n    python -m tacle data/magic_ice_cream.csv\n\nThis returns a list of constraints in the file:\n\n    ALLDIFFERENT(T2[:, 1])\n    ALLDIFFERENT(T1[:, 4])\n    ALLDIFFERENT(T1[:, 5])\n    ALLDIFFERENT(T1[:, 6])\n    T1[:, 1] -> T2[:, 1]\n    T1[:, 6] = SUM(T1[:, 3:5], row)\n\n**Filter output**\n\nIf you are interested in specific types of constraints, you can filter the output:\n\n    python -m tacle data/magic_ice_cream.csv -f \"foreign-key\"  # Report only foreign keys\n    python -m tacle data/magic_ice_cream.csv -f \"<f>\"  # Report only formulas -- use <c> for only constraints\n\n**Tables**\n\nTo view the tables that TaCLe finds in a file you can run:\n\n    python -m tacle data/magic_ice_cream.csv -t\n\n\nThis returns the tables and blocks found by TaCLe:\n\n    Table T1, (1:9, 0:7)\n    Columns 0-2 (string), Columns 2-6 (int), Columns 6-7 (string)\n\n    Table T2, (11:15, 0:2)\n    Columns 0-1 (string), Columns 1-2 (int)\n\n\n## Papers\nRead more about how TaCLe works in one of our two papers [journal version](https://link.springer.com/article/10.1007/s10994-017-5640-x), [demo paper](https://dl.acm.org/citation.cfm?id=3133193).\n\n\n",
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