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        "author": "Solumilken",
        "author_email": "yien.tsai@yoctol.com",
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        "description": "# text-normalizer\n\n[![travis][travis-image]][travis-url]\n[![pypi][pypi-image]][pypi-url]\n\n[travis-image]: https://img.shields.io/travis/Yoctol/text-normalizer.svg?style=flat\n[travis-url]: https://travis-ci.org/Yoctol/text-normalizer\n[pypi-image]: https://img.shields.io/pypi/v/text-normalizer.svg?style=flat\n[pypi-url]: https://pypi.python.org/pypi/text-normalizer\n\nNormalize your Text String. \nIt is a python package that help you normalize your text data and recover it.\n\n## Install\nUse Python3\n```\n> pip install text-normalizer\n```\n## Usage\n```python\nfrom text_normalizer.text_normalizer_collection_library import chinese_charactor_text_normalizer_collection_2\n\n\ninput_sentence = \"   \u6211\u572885.33\u5ea6C\u8cb7\u4e86\u4e00\u676f900\u2500\u25001000\u5143\u7684\u5496\u5561    \u300aohoh\u300b\uff1f\uff1f m_m\"\nnor_sentence, meta = chinese_charactor_text_normalizer_collection_2.normalize(input_sentence)\nprint(nor_sentence)\n> \"\u6211\u5728_float_\u5ea6c\u8cb7\u4e86\u4e00\u676f_int_-_int_\u5143\u7684\u5496\u5561 <ohoh>?? m_m\"\n\nde_sentence = chinese_charactor_text_normalizer_collection_2.denormalize(nor_sentence, meta)\nprint(de_sentence)\n> \"\u6211\u572885.33\u5ea6C\u8cb7\u4e86\u4e00\u676f900\u2500\u25001000\u5143\u7684\u5496\u5561 \u300aohoh\u300b\uff1f\uff1f m_m\",\n\n```",
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