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Pytest全栈自动化测试指南 🧲https://hi189.com/3675.html #Pytest

http://docs.pytest.org/en/latest/contents.html#toc #pytest

http://aiohttp.readthedocs.io/en/stable/testing.html aiohttp provides plugin for #pytest making writing web server tests extremely easy, it also provides test framework agnostic utilities for testing with other frameworks such as unittest. #aiohttp

https://dbader.org/blog/osx-notifications-for-your-pytest-runs This article shows you how to use the #pytest-osxnotify, a plugin for pytest that adds native Mac OS X notifications to the pytest terminal runner. pytest-osxnotify is a plugin for the pytest testing tool. It adds OS X notifications to your #test runs so you know when a test run completes and whether it failed or succeeded without looking at your terminal window.

http://www.aparat.com/v/WC7R4 Introduction to #pytest ‏ #unittest

#pytest: helps you write better programs a mature full-featured Python testing tool runs on Posix/Windows, Python 2.6-3.5, #PyPy and (possibly still) Jython-2.5.1 free and open source software, distributed under the terms of the MIT license well tested with more than a thousand tests against itself strict backward compatibility policy for safe pytest upgrades comprehensive online and PDF documentation many third party plugins and builtin helpers, used in many small and large projects and organisations comes with many tested examples http://docs.pytest.org/en/latest/

https://pypi.python.org/pypi/pytest-selenium/ pytest_selenium is a plugin for #pytest that provides support for running #Selenium based #tests .

https://pypi.python.org/pypi/pytest-bdd #BDD library for the py.test runner #pytest-bdd implements a subset of Gherkin language for the automation of the project requirements testing and easier behavioral driven development. Unlike many other BDD tools it doesn’t require a separate runner and benefits from the power and flexibility of the #pytest. It allows to unify your unit and functional #tests, easier continuous integration server configuration and maximal reuse of the tests setup. Pytest fixtures written for the #unit_test s can be reused for the setup and actions mentioned in the feature steps with dependency injection, which allows a true BDD just-enough specification of the requirements without maintaining any context object containing the side effects of the Gherkin. imperative declarations.

https://github.com/pytest-dev/pytest-splinter The plugin provides a set of fixtures to use #splinter for browser testing with #pytest . #tests #pytest_splinter

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