@pytest.mark.timeout(4) def test_timeout_001(self): """正常执行,并通过""" time.sleep(3) assert 1 == 1 @pytest.mark.timeout(2) def test_timeout_002(self): """超时,强制报错""" time.sleep(3) assert 1 == 1 def test_timeout_
#test2.py import pytest def sub(a, b): return a - b @pytest.mark.parametrize("input1,input2,expected", [ (5, 2, 3), (-1, 1, 0), (0, 0, 0), ]) def test_sub(input1, input2, expected): assert sub(input1, input2) == expected 输入命令 pytest test2.py 结果如下 5....
platform darwin -- Python3.7.3, pytest-4.3.1, py-1.8.0, pluggy-0.9.0rootdir:/Users/libo/python3workspace/learn,inifile:plugins:rerunfailures-7.0, picked-0.4.1, parallel-0.0.9, forked-1.0.2, cov-2.7.1, allure-pytest-2.6.1collected2items test_class.py .F [100%] === FAILURES === ...
PyTest 一、 快速开始 1、 介绍 pytest是一个非常成熟的全功能的Python测试框架,主要有以下几个特点: 简单灵活,容易上手 支持参数化 能够支持简单的单元测试和复杂的功能测试,还可以用来做selenium/appnium等自动化测试、接口自动化测试(pytest+requests)
#输入以下内容并保存[global]timeout=6000index-url=https://pypi.tuna.tsinghua.edu.cn/simple trusted-host=pypi.tuna.tsinghua.edu.cn 5、添加软连接 代码语言:javascript 代码运行次数:0 运行 AI代码解释 #添加python3的软链接 ln-s/usr/local/python3/bin/python3.8/usr/bin/python ...
python3 -m pytest -v -m "login and logout" test_command.py 带-m参数命令执行后的结果如图1-12所示。 图1-12 带-m参数命令执行后的结果 备注: 如上输出结果中,同时满足login和logout分组的测试用例只有test_command_001()测试函数,所以只执行了该函数。
要安装func_timeout,首先需要安装Python。你可以从[Python官方网站]( 第二步:打开终端 完成Python的安装后,打开终端(命令提示符或终端窗口),可以通过以下操作来打开: 在Windows上,按下Win键,然后输入"cmd"并按下回车键。 在macOS上,按下Command + 空格键,然后输入"terminal"并按下回车键。
suite@pytest.fixture(scope='session')defappium_service():service=AppiumService()service.start(# Check the output of `appium server --help` for the complete list of# server command line argumentsargs=['--address',APPIUM_HOST,'-p',str(APPIUM_PORT)],timeout_ms=20000, )yieldserviceservice....
8/site-packages (from nemo_toolkit[all]) (0.12.0) Collecting pytest-runner Using cached https://pypi.tuna.tsinghua.edu.cn/packages/42/7b/1cec26caae4bf44bb9911e1119d5d1a35171571e100b728a2ccd8719a3b1/pytest_runner-6.0.0-py3-none-any.whl (7.2 kB) Requirement already satisfied: ...
-python", "mock", "moto", "mypy", "numpy", "pillow", "pre-commit", "pytest (>7)", "pytest-asyncio (>=0.18.2)", "pytest-benchmark", "pytest-cov", "pytest-env", "pytest-flakefinder", "pytest-timeout", "pytest-xdist", "pytkdocs (>=0.14.2)", "pyyaml", "requests", "...