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README-EN.md
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PyYAML
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======
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A full-featured YAML processing framework for Python
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## Installation
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To install, type `python setup.py install`.
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By default, the `setup.py` script checks whether LibYAML is installed and if
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so, builds and installs LibYAML bindings.
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To skip the check and force installation of LibYAML bindings, use the option
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`--with-libyaml`: `python setup.py --with-libyaml install`.
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To disable the check and skip building and installing LibYAML bindings, use
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`--without-libyaml`: `python setup.py --without-libyaml install`.
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When LibYAML bindings are installed, you may use fast LibYAML-based parser and
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emitter as follows:
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>>> yaml.load(stream, Loader=yaml.CLoader)
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>>> yaml.dump(data, Dumper=yaml.CDumper)
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If you don't trust the input YAML stream, you should use:
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>>> yaml.safe_load(stream)
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## Testing
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PyYAML includes a comprehensive test suite.
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To run the tests, type `python setup.py test`.
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## Further Information
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* For more information, check the
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[PyYAML homepage](https://github.com/yaml/pyyaml).
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* [PyYAML tutorial and reference](http://pyyaml.org/wiki/PyYAMLDocumentation).
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* Discuss PyYAML with the maintainers on
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Matrix at https://matrix.to/#/#pyyaml:yaml.io or
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IRC #pyyaml irc.libera.chat
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* Submit bug reports and feature requests to the
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[PyYAML bug tracker](https://github.com/yaml/pyyaml/issues).
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## License
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The PyYAML module was written by Kirill Simonov <xi@resolvent.net>.
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It is currently maintained by the YAML and Python communities.
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PyYAML is released under the MIT license.
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See the file LICENSE for more details.
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54
README.md
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README.md
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PyYAML
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PyYAML
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======
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======
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PyYAML是一套基于Python实现的全能YAML处理框架。
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A full-featured YAML processing framework for Python
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## 安装
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## Installation
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您可以通过执行`python setup.py install`完成LibYAML的安装。
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To install, type `python setup.py install`.
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默认情况下，`setup.py`会检查LibYAML是否已安装，在LibYAML已安装的情况下会自动构建及安装LibYAML bindings。
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By default, the `setup.py` script checks whether LibYAML is installed and if
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so, builds and installs LibYAML bindings.
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To skip the check and force installation of LibYAML bindings, use the option
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`--with-libyaml`: `python setup.py --with-libyaml install`.
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To disable the check and skip building and installing LibYAML bindings, use
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`--without-libyaml`: `python setup.py --without-libyaml install`.
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如果想忽略相应的检查直接安装LibYAML bindings，可以执行以下命令：
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When LibYAML bindings are installed, you may use fast LibYAML-based parser and
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emitter as follows:
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`--with-libyaml`: `python setup.py --with-libyaml install`。
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如果想关闭检查且忽略构建及安装LibYAML bindings，可以执行以下命令：
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`--without-libyaml`: `python setup.py --without-libyaml install`。
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当LibYAML bindings成功安装之后，你可以按照以下方式进行YAML流的加载解析：
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>>> yaml.load(stream, Loader=yaml.CLoader)
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>>> yaml.load(stream, Loader=yaml.CLoader)
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>>> yaml.dump(data, Dumper=yaml.CDumper)
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>>> yaml.dump(data, Dumper=yaml.CDumper)
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如果您不是很信任某个YAML输入流，可以通过安全模式进行加载：
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If you don't trust the input YAML stream, you should use:
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>>> yaml.safe_load(stream)
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>>> yaml.safe_load(stream)
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## 测试
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## Testing
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PyYAML包含完整的测试套件，您可以通过执行 `python setup.py test`可以完成相应的测试用例的执行。
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PyYAML includes a comprehensive test suite.
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To run the tests, type `python setup.py test`.
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## 更多信息
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## Further Information
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* 如果您想获取更多关于PyYAML的信息，可以访问PyYAML官网[PyYAML homepage](https://github.com/yaml/pyyaml)和[PyYAML tutorial and reference](http://pyyaml.org/wiki/PyYAMLDocumentation)。
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* For more information, check the
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[PyYAML homepage](https://github.com/yaml/pyyaml).
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* 您也可以通过[Matrix](https://matrix.to/#/#pyyaml:yaml.io)或者IRC #pyyaml irc.libera.chat 和PyYAML的维护人员讨论问题。
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* [PyYAML tutorial and reference](http://pyyaml.org/wiki/PyYAMLDocumentation).
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* 您也可以通过访问[PyYAML bug tracker](https://github.com/yaml/pyyaml/issues)来提交您发现的关于PyYAML的任何Bug或者您想增加的新特性。
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* Discuss PyYAML with the maintainers on
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Matrix at https://matrix.to/#/#pyyaml:yaml.io or
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IRC #pyyaml irc.libera.chat
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## 协议
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* Submit bug reports and feature requests to the
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[PyYAML bug tracker](https://github.com/yaml/pyyaml/issues).
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PyYAML模块由Kirill Simonov <xi@resolvent.net>编码实现，目前由YAML和Python社区负责维护。
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## License
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PyYAML基于MIT协议发布，更多协议相关的内容可以访问LICENSE文件。
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The PyYAML module was written by Kirill Simonov <xi@resolvent.net>.
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It is currently maintained by the YAML and Python communities.
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PyYAML is released under the MIT license.
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See the file LICENSE for more details.
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