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    "info": {
        "author": "Brooke Cowan",
        "author_email": "cowanb@ohsu.edu",
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        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "# Overview\n\nThis package converts text encoded using the legacy SIL IPA93 font to\nunicode.\n\nIt contains one function, convert_to_unicode(), which relies on a\ndictionary mapping IPA93 glyph codes to their corresponding unicode\ncode point(s). This is useful if, for example, you are working with a\nresource like the [MOSS Aphasia MAPPD dataset]\n(https://www.mappd.org/about.html).\n\nThe package also exposes the dictionary itself, sil_to_unicode_dict,\nin case it is more convenient to use that directly. Lastly, this\npackage contains a list of all the unicode diacritics\n(ipa_diacritics_unicode), which may be useful for removing diacritics\nfrom the input in a post-processing step.\n\n## Notes\n\n* The IPA93 glyph access codes (and descriptions in the comments) were\ncopied from the file Ipa93.pdf, which can be found in the [IPA93 fonts\nzip archive]\n(https://scripts.sil.org/cms/scripts/render_download.php?format=file&media_id=silipa93-2.00.zip&filename=silipa93.zip).\n* Glyph access code 202 \"minute space\" does not have an obvious\nunicode equivalent and is not handled in this package.\n* The interpretation of glyph access codes 232, 134, 216, 128, 133,\n217 in this package is based on [ipa-braille-final.pdf]\n(http://brailleauthority.org/ipa/ipa-braille-final.pdf) and understood\nto represent various tone bars (see\nhttp://www.internationalphoneticalphabet.org/ipa-charts/tones-and-accents/\nas well as comments in the code).\n\n# Usage\n\nThe following code snippet illustrates the usage of the function\nconvert_to_unicode, which takes a string of SIL IPA93 glyph access\ncodes and returns an equivalent unicode string. In this example, we\nassume the input excel file MAPPD.xlsx contains a structured data set\nin which the IPA93 data lives in a column called \"Phonetic_response.\"\nWe send each data point in this column to convert_to_unicode(), store\nthe result in a new column called \"New_phonetic_response,\" and write\nthe new data set to a file called \"MAPPD.new.xlsx\":\n\n    import pandas as pd\n\n    mappd_df = pd.read_excel('MAPPD.xlsx')\n    # The input to convert_to_unicode() is a string so handle null values\n    # appropriately first.\n    mappd_df['New_phonetic_response'] = mappd_df.Phonetic_response.fillna('')\n    mappd_df.New_phonetic_response = mappd_df.New_phonetic_response.map(lambda x: convert_to_unicode(x))\n    mappd_df.to_excel('MAPPD.new.xlsx', index=False)",
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        "name": "ipa2unicode",
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