I need to parallelize my python unit-tests which I wrote using the default unittest module. I\'m trying to decide between two approaches:
I\'ve a method that returns a list of objects that meet certain criteria result = find_objects(some_criteria)
Unittest是python标准库中自带的单元测试框架，Unittest有时候也被称为PyUnit，就像JUnit是Java语言的标准单元测试框架一样，Unittest则是Python语言的标准单元编程客栈测试框架。
Question first, then an explanation if you\'re interested. In the context of py.test, how do I generate a large set of test functions from a small set of test-function templates?
I am using py.test to test some modules of mine that contains quite a bit of stdlib logging. I would of course like for the logging to log to stdout, which is captured by py.test, so that I will get a
I would like to put some logging statements within test function to examine some state variables. I have the following code snippet:
I have the following directory layout: runner.py lib/ tests/ testsuite1/ testsuite1.py testsuite2/ testsuite2.py
I work with a team that develops MPI-based C++ numerical applications. The group uses cxxtest for constructing individual unit tests or small suites, but 1) there are some complications aggregating ac
I really like py.test, but I am having lots of difficulty understanding how funcargs work. Is it possible to use a command line argument or an extension to enable the use of s开发者_如何学运维omethi
I do have several small mo开发者_如何学Godules where the tests are inside them and py.test or nose does not look for them because they do not contain test in their filename.
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