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        "description": "       http://www.apache.org/licenses/LICENSE-2.0\n\n   Unless required by applicable law or agreed to in writing, software\n   distributed under the License is distributed on an \"AS IS\" BASIS,\n   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n   See the License for the specific language governing permissions and\n   limitations under the License.\nDescription: # langua\n        A faster port of  https://code.google.com/archive/p/language-detection/ in Python\n        \n        Installation\n        ============\n        \n            $ pip install langua\n        \n        Supported Python versions 2.7, 3.4+.\n        \n        \n        Languages\n        =========\n        \n        ``langua`` supports 55 languages out of the box ([ISO 639-1 codes](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes)):\n        \n            af, ar, bg, bn, ca, cs, cy, da, de, el, en, es, et, fa, fi, fr, gu, he,\n            hi, hr, hu, id, it, ja, kn, ko, lt, lv, mk, ml, mr, ne, nl, no, pa, pl,\n            pt, ro, ru, sk, sl, so, sq, sv, sw, ta, te, th, tl, tr, uk, ur, vi, zh-cn, zh-tw\n        \n        Basic usage\n        ===========\n        \n        To detect the language of the text:\n        \n        ```python\n        >>> from langua import Predict\n        >>> p = Predict()\n        >>> p.get_lang(\"Mother\")\n        'en'\n        >>> p.get_lang(u\"\u0ba4\u0bbe\u0baf\u0bcd\")\n        'ta'\n        >>> p.get_lang(u\"\u0d05\u0d2e\u0d4d\u0d2e\")\n        'ml'\n        ```\n        \n        Benchmark Results\n        ==================\n        \n        ```python\n        >>> from langua import Predict\n        >>> p = Predict()\n        >>> %%timeit\n           ...: p.get_lang(u\"\u0d07\u0d02\u0d17\u0d4d\u0d32\u0d40\u0d37\u0d4d\")\n           ...:\n        1000 loops, best of 3: 721 \u00b5s per loop\n        \n        \n        >>> from langdetect import detect\n        >>> %%timeit\n           ...: detect(u\"\u0d07\u0d02\u0d17\u0d4d\u0d32\u0d40\u0d37\u0d4d\")\n        1000 loops, best of 3: 1.07 ms per loop\n        \n        ```\n        \n        \n        How to add new language?\n        ========================\n        \n        You need to create a new language profile. The easiest way to do it is to use the [langdetect.jar](https://github.com/shuyo/language-detection/raw/master/lib/langdetect.jar) tool, which can generate language profiles from Wikipedia abstract database files or plain text.\n        \n        Wikipedia abstract database files can be retrieved from \"Wikipedia Downloads\" ([http://download.wikimedia.org/](http://download.wikimedia.org/)). They form '(language code)wiki-(version)-abstract.xml' (e.g. 'enwiki-20101004-abstract.xml' ).\n        \n        usage: ``java -jar langdetect.jar --genprofile -d [directory path] [language codes]``\n        \n        - Specify the directory which has abstract databases by -d option.\n        - This tool can handle gzip compressed file.\n        \n        Remark: The database filename in Chinese is like 'zhwiki-(version)-abstract-zh-cn.xml' or zhwiki-(version)-abstract-zh-tw.xml', so that it must be modified 'zh-cnwiki-(version)-abstract.xml' or 'zh-twwiki-(version)-abstract.xml'.\n        \n        To generate language profile from a plain text, use the genprofile-text command.\n        \n        usage: ``java -jar langdetect.jar --genprofile-text -l [language code] [text file path]``\n        \n        For more details see [language-detection Wiki](https://code.google.com/archive/p/language-detection/wikis/Tools.wiki).\n        \n        \n        Original project\n        ================\n        \n        This is a vectorized modification of [Langdetect](https://github.com/Mimino666/langdetect) . There are some numpy optimizations and other tweaks\n        which have improved the performance of predicting the language class.\n        \n        LangDetect was a port of another project called [language-detection](https://code.google.com/p/language-detection/)\n        \n        Pushing to PyPi\n        =================\n        \n        Refer [this](https://packaging.python.org/tutorials/distributing-packages/) \n        \nKeywords: language detection library\nPlatform: UNKNOWN\nClassifier: Development Status :: 5 - Production/Stable\nClassifier: Intended Audience :: Developers\nClassifier: License :: OSI Approved :: Apache Software License\nClassifier: Operating System :: OS Independent\nClassifier: Programming Language :: Python :: 2\nClassifier: Programming Language :: Python :: 2.7\nClassifier: Programming Language :: Python :: 3\nClassifier: Programming Language :: Python :: 3.4\nClassifier: Programming Language :: Python :: 3.5\nClassifier: Programming Language :: Python :: 3.6\n",
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