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TDD vs. Unit testing [closed]
My company is fairly new to unit testing our code. I've been reading about TDD and unit testing for some time and am convinced of their value. I've attempted to convince our team that TDD is worth the effort of learning and changing our mindsets on how we program but it is a struggle. Which bring...
How do you test private methods with NUnit?
I am wondering how to use NUnit correctly. First, I created a separate test project that uses my main project as reference. But in that case, I am not able to test private methods. My guess was that I need to include my test code into my main code?! - That doesn't seem to be the correct way to do it...
Prevent unit tests but allow integration tests in Maven
I've a Maven build in which I use the SureFire plugin to run some unit tests, and the FailSafe plugin to run some integration tests. I would like a way to run just the FailSafe plugin's tests.
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CMake使用教程 - C/C++ - 清泛网 - 专注C/C++及内核技术
...装（make install）、测试安装的程序是否能正确执行（make test，或者ctest）、生成当前平台的安装包（make package）、生成源码包（make package_source）、产生Dashboard显示数据并上传等高级功能，只要在CMakeLists.txt中简单配置，就可以完...
How to build a jar using maven, ignoring test results? [duplicate]
Actuality when i run tests they fails but i need to run them to get some .class files which are very important for my jar.
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How should I unit test threaded code?
I have thus far avoided the nightmare that is testing multi-threaded code since it just seems like too much of a minefield. I'd like to ask how people have gone about testing code that relies on threads for successful execution, or just how people have gone about testing those kinds of issues that ...
How do I create test and train samples from one dataframe with pandas?
...split the dataframe into two random samples (80% and 20%) for training and testing.
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Random data in Unit Tests?
I have a coworker who writes unit tests for objects which fill their fields with random data. His reason is that it gives a wider range of testing, since it will test a lot of different values, whereas a normal test only uses a single static value.
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How to split/partition a dataset into training and test datasets for, e.g., cross validation?
What is a good way to split a NumPy array randomly into training and testing/validation dataset? Something similar to the cvpartition or crossvalind functions in Matlab.
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Unit testing Anti-patterns catalogue
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Second Class Citizens - test code isn't as well refactored as production code, containing a lot of duplicated code, making it hard to maintain tests.
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