importsysimportpytest@pytest.mark.skipif(sys.platform =="win32", reason="不支持 Windows 平台")deftest_platform_specific():assertTrue# 跳过 windows 平台上的测试 4.3 标记慢测试 @pytest.mark.slowdeftest_long_running():importtime
To run a specific test within a module:pytesttest_mod.py::test_func Another example specifying a test method in the command line:pytesttest_mod.py::TestClass::test_method Run tests by marker expressions:pytest-mslow Will run all tests which are decorated with the@pytest.mark.slowdecorator. ...
As a result, pytest users have developed a rich ecosystem of helpful plugins. Although some pytest plugins focus on specific frameworks like Django, others are applicable to most test suites. You’ll see details on some specific plugins later in this tutorial....
一、Pytest基本知识 参考官方文档翻译过来,了解一下Pytest知识点。 1、Pytest中可以按节点ID运行测试。 在命令行中指定测试方法的另一个示例: pytest test_mod.py::TestClass::test_method 2、通过标记表达式运行测试 pytest -m slow 将运行用@Pytest.mark.slow装饰器装饰的所有测试。 3、详细的总结报告 pytest ...
1 pytest Run your tests and verify that your code is working properly. 2 pip install -U -r requirements.txt Upgrade your requirements to versions that match the constraints in your requirements.txt file. 3 pytest Run your tests and consider downgrading any dependency that introduced errors to ...
Running all test files in the current directory. $ pytest min_max_test.py We can run a specific test file by giving its name as an argument. $ pytest min_max_test.py::test_min A specific function can be run by providing its name after the::characters. ...
It has a vibrant ecosystem of plugins (like pytest HTML plugin) and extensions that can be easily integrated to extend its functionality and support additional testing needs. It can run test cases written using unittest or Doctest, making it easy to migrate from other testing frameworks and suita...
创建一个.c源文件,代码如下,创建一个pytest.py文件,实现一个printTime函数 代码语言:javascript 代码运行次数:0 运行 AI代码解释 #include<Python.h>intmain(){Py_Initialize();//初始化Python解析器if(!Py_IsInitialized()){printf("Initialize failed");return-1;}PyRun_SimpleString("print('hello C !')"...
You can run the tests with:coverage run -m pytest To see the coverage:coverage report Or use tox to run the complete suite against the full set of build targets, or pytest to run specific tests against a specific version of Python.
The package has optional depencies providing specific functionalities not otherwise required to use the rest of rpy2. For example, to be able to run the unit tests: pip install'rpy2[test]' To install all optional dependencies (numpy, pandas, ipython), use: ...