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        "author": "Simon Cozens",
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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3"
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        "description": "tensorfont\n----------\n\nTensorfont is a library to help those performing numerical analysis of\nfont data, particular with reference to letterfitting and spacing.\n\nHere is an example session::\n\n    >>> from tensorfont import Font\n    >>> f = Font(\"../atospace/kern-dump/normal/MrsEavesOT-Bold.otf\")\n\n    >>> f.m_width\n    828.0\n    >>> f.baseline_ratio\n    0.28835063437139563\n\n    >>> f.pair_distance(\"A\",\"V\")\n    -149\n    >>> f.pair_kerning(\"A\",\"V\")\n    -73\n\n    >>> f.glyph(\"G\").lsb\n    71\n\n    >>> m = f.glyph(\"G\").as_matrix()\n        .with_sidebearings()\n        .crop_descender()\n        .scale_to_height(50)\n    >>> m.left_contour()\n    array([25, 22, 20, 18, 16, 15, 14, 13, 12, 11, 10, 10,  9,  9,  8,  8,  7,\n            7,  7,  6,  6,  6,  6,  6,  6,  6,  6,  6,  6,  6,  6,  6,  7,  7,\n            7,  7,  8,  8,  9, 10, 10, 11, 12, 13, 13, 15, 16, 17, 19, 21])\n    >>> plt.imgshow(m) ; plt.show()\n    # The letter \"G\" is shown\n\nFull documentation is available at https://simoncozens.github.io/tensorfont/index.html\n\n\n",
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        "license": "MIT",
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        "name": "tensorfont",
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        "summary": "Turn font glyphs into numpy arrays",
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