通过SWIG编译的C ++/Python代码测试覆盖范围 [英] Test coverage from SWIG-compiled C++/Python code

问题描述

我有一个经典的SWIG设置，其中从Python调用了一堆C ++函数.现在，在添加了一些测试(在Python中)之后，我想了解C ++源代码的测试范围.经典的Python方法是

I have a classical SWIG setup where a bunch of C++ function are called from Python. Now, after adding some tests (in Python), I'd like to get test coverage on the C++ sources. The classical Python method is

nosetests --with-coverage --cover-package=mypackage

，但这仅适用于本机Python模块.实际上，这将返回SWIG生成的mypackage.py文件的覆盖率.

but that only works for native Python modules. In fact, this will return the coverage on the mypackage.py file generated by SWIG.

由于我需要覆盖C ++文件(/SWIG生成的共享库)，因此肯定需要添加--coverage到编译和链接器标志.虽然不知道从那里去.

Since I need coverage on the C++ files (/the shared library generated by SWIG), adding --coverage to compile and linker flags is certainly called for. Not sure where to go from there though.

有任何提示吗?

推荐答案

遇到了类似的问题，但使用了C代码.它与SWIG部分无关，只需要使用coverage工具编译您的C ++代码并执行它即可.我为此使用了gcov和gcovr.

Faced with a similar issue, but with C code. It's not related to the SWIG part, just need to compile your C++ code with the coverage instrumentation and execute it. I used gcov and gcovr for that.

使用gcov，要执行此操作，请使用以下标志编译代码(启用gcov检测)

With gcov, to make this work, compile the code with the following flags (enables gcov instrumentation)

CFLAGS_VAL + = -O0-覆盖率

CFLAGS_VAL += -O0 --coverage

然后执行测试.在测试运行之后，应生成.gcno和.gcda文件.

Then, execute the test. Following the test run, .gcno and .gcda files should be generated.

要创建覆盖率报告，请从您的根文件夹运行

To create the coverage report, run from your root folder

gcovr -r. --filter =" --html --html-details -o coverage/coverage.html

gcovr -r . --filter="" --html --html-details -o coverage/coverage.html

GCOV文档，此处

同一人可以使用lcov创建，请按照 Wiki 页面

Same can create with lcov, follow an example in this wiki page

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