blocks|key|1775769|text|testoob是一个相当完整的test.Also+xUnit-ie套件，它有一个很好的报告选项|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1775770|entityMap|0|LINK|mutability|MUTABLE|url|http://testoob.sourceforge.net/^0|0|7|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

There's <a href="http://testoob.sourceforge.net/" rel="nofollow noreferrer">testoob</a> which is pretty complete suite of test.Also xUnit-ie, and has a nice reporting option

blocks|key|1775821|text|还有一个PyUnit，它可能就是你要找的。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1775822|entityMap|0|LINK|mutability|MUTABLE|url|http://pyunit.sourceforge.net/^0|4|6|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

There is also <a href="http://pyunit.sourceforge.net/" rel="nofollow noreferrer">PyUnit</a> which might be what you're looking for.

blocks|key|1560725|text|@Greg:作为unittest包含在标准库中的PyUnit|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1560726|entityMap^0|8|8|0^^$0|@$1|2|3|4|5|6|7|H|8|@$9|I|A|J|B|C]]|D|@]|E|$]]|$1|F|3|-4|5|6|7|K|8|@]|D|@]|E|$]]]|G|$]]

@Greg: PyUnit is included in the standard library as <code>unittest</code>

blocks|key|1775953|text|以py.test为例。不完全类似于NUnit，但非常好，具有很好的功能，包括测试自动发现和“观察测试和代码-当有变化时，重新运行上次失败的测试。一旦所有测试通过，当有变化时切换到运行所有测试。”选项。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1775954|entityMap|0|LINK|mutability|MUTABLE|url|http://codespeak.net/py/dist/test.html^0|1|7|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

Consider <a href="http://codespeak.net/py/dist/test.html" rel="nofollow noreferrer">py.test</a>. Not exactly analogous to NUnit, but very good, with nice features including test auto-discovery and a "Watch the tests and code - when something changes rerun the tests that failed last time. As soon as all the tests pass, switch to running all the tests whenever somethings changes." option.

blocks|key|1775998|text|我从来没有用过xUnit，所以我不能告诉你框架是好是坏，但是here是我写的一个脚本，它使用了unittest框架(用来检查API是否正常工作)和doctest+(用来检查我给出的例子)。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1775999|我唯一的问题是检查引发异常的东西有点复杂(你必须向它传递一个引发异常的函数/lambda，而不仅仅是命令本身，就像框架的其余部分一样)。除此之外，它可以可靠地做它应该做的事情，并且它已经包含在默认的python发行版中很长一段时间了。|1776000|entityMap|0|LINK|mutability|MUTABLE|url|http://github.com/dbr/tvdb_api/tree/master/tvdb_api.py#L518-575^0|U|4|0|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@$A|O|B|P|1|Q]]|C|$]]|$1|D|3|E|5|6|7|R|8|@]|9|@]|C|$]]|$1|F|3|-4|5|6|7|S|8|@]|9|@]|C|$]]]|G|$H|$5|I|J|K|C|$L|M]]]]

Never used xUnit, so I can't tell you if the frameworks are good/bad comparativly, but <a href="http://github.com/dbr/tvdb_api/tree/master/tvdb_api.py#L518-575" rel="nofollow noreferrer">here</a> is a script I wrote which uses the unittest framework (to check the API works as it should), and the doctest (to check the examples I've given work)

My only problem is checking something raises an exception is slightly convoluted (you have to pass it a function/lambda that raises the exception, rather than just the command itself, like the rest of the framework).. Other than that, it does what it should, reliably, and it has been included in the default python distribution for quite some time.

blocks|key|1776054|text|我推荐nose。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1776055|它是最具Pythonic风格的单元测试框架。测试运行器同时运行doctest和unittest，因此您可以自由地使用您喜欢的任何测试样式。|1776056|entityMap|0|LINK|mutability|MUTABLE|url|https://nose.readthedocs.org/en/latest/^0|3|4|0|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@$A|O|B|P|1|Q]]|C|$]]|$1|D|3|E|5|6|7|R|8|@]|9|@]|C|$]]|$1|F|3|-4|5|6|7|S|8|@]|9|@]|C|$]]]|G|$H|$5|I|J|K|C|$L|M]]]]

I recommend <a href="https://nose.readthedocs.org/en/latest/" rel="nofollow noreferrer">nose</a>.

It is the most Pythonic of the unit test frameworks. The test runner runs both doctests and unittests, so you are free to use whatever style of test you like.

blocks|key|1560973|text|我推荐你用鼻子。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1560974|在合理的简单安装之后，你只需要在你的项目文件夹中运行"nosetests“，然后Nose就会找到你所有的测试并运行它们。我也喜欢插件的集合(coverage，GAE等)。以及在我的Python脚本中直接调用Nose的能力。|1560975|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|F|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|G|8|@]|9|@]|A|$]]|$1|D|3|-4|5|6|7|H|8|@]|9|@]|A|$]]]|E|$]]

I recommend Nose. 

After the reasonable simple installation, you just have to run "nosetests" in your project folder and Nose will find all your tests and run them. I also like the collection of plugins (coverage, GAE, etc.) and the abilty to call Nose directly from within my Python scripts.

Does Python have a unit testing framework compatible with the standard xUnit style of test framework? If so, what is it, where is it, and is it any good?

Unit tests in Python

单元测试

Python

Python是否有一个与标准xUnit风格的测试框架兼容的单元测试框架？如果是这样，它是什么，它在哪里，它有什么好的吗？

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