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"info": {
"author": "Brad Solomon",
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"classifiers": [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: C++",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: Implementation :: CPython",
"Topic :: Text Processing :: Linguistic"
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"description": "# `pycld3`\n\nPython bindings to the Compact Language Detector v3 (CLD3).\n\n[](https://circleci.com/gh/bsolomon1124/pycld3)\n[](https://github.com/bsolomon1124/pycld3/blob/master/LICENSE)\n[](https://pypi.org/project/pycld3/)\n[](https://pypi.org/project/pycld3/)\n[](https://pypi.org/project/pycld3)\n[](https://pypi.org/project/pycld3)\n[](https://github.com/bsolomon1124/pycld3)\n\nThis package contains Python bindings (via Cython) to Google's [CLD3](https://github.com/google/cld3/) library.\n\n## Installation\n\n_Note_: The PyPI package contains one [platform wheel](https://packaging.python.org/guides/distributing-packages-using-setuptools/#platform-wheels), for Mac OS X 10.14 / CPython 3.7. If this describes your platform & Python version, you can skip this section and simply `pip install pycld3`. It's on my to-do list to add wheels for other platforms/versions soon.\n\nThis package requires a bit more than a one-line `pip install` to get up and running. You'll also need the [Protobuf](https://github.com/protocolbuffers/protobuf) compiler (the `protoc` executable), as well as the Protobuf development headers. Follow along below; I promise this will be painless:\n\n_Ubuntu Linux_: `protobuf-compiler` installs `protoc`, while `libprotobuf-dev` contains the Protobuf development headers and static libraries.\n\n```bash\nsudo apt-get update\nsudo apt-get install protobuf-compiler libprotobuf-dev\n```\n\n_RHEL_: Install from source.\n\n```bash\ncurl -s -o protobuf-all-3.10.0.tar.gz \\\n https://github.com/protocolbuffers/protobuf/releases/download/v3.10.0/protobuf-all-3.10.0.tar.gz\ntar -xzf protobuf-all-3.10.0.tar.gz && rm -rf protobuf-all-3.10.0.tar.gz\ncd protobuf-all-3.10.0\n./configure && make && make install\n```\n\n_Mac OS X_: `brew install protobuf` will handle installing both `protoc` and placing the header files where they need to be (typically at `/usr/local/Cellar/protobuf/x.y.z/include/`).\n\n```bash\nbrew update && brew install protobuf\n```\n\nAbove are some quick install commands, but please consult [the official protobuf repository](https://github.com/protocolbuffers/protobuf) for information on installing Protobuf.\n\nOkay, now you're ready for the easy part; install via [Pip](https://pypi.org/project/pycld3/):\n\n```bash\npython -m pip install pycld3\n```\n\n## Usage\n\n`cld3` exports two module-level functions, `get_language()` and `get_frequent_languages()`:\n\n```python\n>>> import cld3\n\n>>> cld3.get_language(\"\u5f71\u97ff\u5305\u542b\u5c0d\u6c23\u5019\u7684\u8b8a\u5316\u4ee5\u53ca\u81ea\u7136\u8cc7\u6e90\u7684\u67af\u7aed\u7a0b\u5ea6\")\nLanguagePrediction(language='zh', probability=0.999969482421875, is_reliable=True, proportion=1.0)\n\n>>> cld3.get_language(\"This is a test\")\nLanguagePrediction(language='en', probability=0.9999980926513672, is_reliable=True, proportion=1.0)\n\n>>> for lang in cld3.get_frequent_languages(\n... \"This piece of text is in English. \u0422\u043e\u0437\u0438 \u0442\u0435\u043a\u0441\u0442 \u0435 \u043d\u0430 \u0411\u044a\u043b\u0433\u0430\u0440\u0441\u043a\u0438.\",\n... num_langs=3\n... ):\n... print(lang)\n...\nLanguagePrediction(language='bg', probability=0.9173890948295593, is_reliable=True, proportion=0.5853658318519592)\nLanguagePrediction(language='en', probability=0.9999790191650391, is_reliable=True, proportion=0.4146341383457184)\n```\n\n## FAQ\n\n### `cld3` incorrectly detects my input. How can I fix this?\n\nA first resort is to **preprocess (clean) your input text** based on conditions specific to your program.\n\nA salient example is to remove URLs and email addresses from the input. **CLD3 (unlike [CLD2](https://github.com/CLD2Owners/cld2))\ndoes almost none of this cleaning for you**, in the spirit of not penalizing other users with overhead that they may not need.\n\nHere's such an example using a simplified URL regex from _Regular Expressions Cookbook, 2nd ed._:\n\n```python\n>>> import re\n>>> import cld3\n\n# cld3 does not ignore the URL components by default\n>>> s = \"Je veux que: https://site.english.com/this/is/a/url/path/component#fragment\"\n>>> cld3.get_language(s)\nLanguagePrediction(language='en', probability=0.5319557189941406, is_reliable=False, proportion=1.0)\n\n>>> url_re = r\"\\b(?:https?://|www\\.)[a-z0-9-]+(\\.[a-z0-9-]+)+(?:[/?].*)?\"\n>>> new_s = re.sub(url_re, \"\", s)\n>>> new_s\n'Je veux que: '\n>>> cld3.get_language(new_s)\nLanguagePrediction(language='fr', probability=0.9799421429634094, is_reliable=True, proportion=1.0)\n```\n\n_Note_: This URL regex aims for simplicity. It requires a domain name, and doesn't allow a username or password; it allows the scheme\n(http or https) to be omitted if it can be inferred from the subdomain (www). Source: _Regular Expressions Cookbook, 2nd ed._ - Goyvaerts & Levithan.\n\n**In some other cases, you cannot fix the incorrect detection.**\nLanguage detection algorithms in general may perform poorly with very short inputs.\nRarely should you trust the output of something like `detect(\"hi\")`. Keep this limitation in mind regardless\nof what library you are using.\n\n### Authors\n\nThis repository contains a fork of [`google/cld3`](https://github.com/google/cld3/) at commit 06f695f. The license for `google/cld3` can be found at\n[LICENSES/CLD3\\_LICENSE](https://github.com/bsolomon1124/pycld3/blob/master/LICENSES/CLD3_LICENSE).\n\nThis repository is a combination of changes introduced by various [forks](https://github.com/google/cld3/network/members) of `google/cld3` by the following people:\n\n- Johannes Baiter ([@jbaiter](https://github.com/jbaiter))\n- Elizabeth Myers ([@Elizafox](https://github.com/Elizafox))\n- Witold Bo\u0142t ([@houp](https://github.com/houp))\n- Alfredo Luque ([@iamthebot](https://github.com/iamthebot))\n- WISESIGHT ([@ThothMedia](https://github.com/ThothMedia))\n- RNogales ([@RNogales94](https://github.com/RNogales94))\n- Brad Solomon ([@bsolomon1124](https://github.com/bsolomon1124))\n\n\n",
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