djangoproject
@djangoproject · Post #185 · 05.10.2016 г., 03:03
http://www.aparat.com/v/WC7R4 Introduction to #pytest #unittest
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Изворен канал @pythonotes · Post #422 · 30 мар.
Если запустить REPL с модулем asyncio, то вы входите в особый асинхронный REPL. user@host:~$ python -m asyncio asyncio REPL 3.12.7 ... Use "await" directly instead of "asyncio.run()". >>> import asyncio >>> В этом режиме - создаётся и настраивается event loop - уже импортирован asyncio - работает await на верхнем уровне То есть такая команда сработает без ошибок! await asyncio.sleep(3) Удобно для тестирования асинхронных функций без создания ивентлупов и остальной обвязки. Работает в: 3.8+ #tricks#async
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@mdcuzbekistan · Post #324 · 23.01.2022 г., 08:14
Dasturni testlash jarayonlari, xUnit bilan amaliyot Bugungi stream ham nasib qilsa ajoyib o'tadi. Sababi, navbatdagi mehmonimiz siz tanigan, bilgan tajribali dasturchilar sirasiga kiradi. Eng qizig'i, suxbat davomida ko'tariladigan mavzu ko'pchilikni qiynashga ulgurgan. Ushbu qiyinchiliklarni ustozimiz bilan birga yengillashtiramiz. Xullas, streamda ko'rishguncha! 🔗 Havola: zoom 👨🏫 Mentor:Wahid Abduhakimov #unittest#mentoring#live#stream .NET Uzbekistan Community ______ Telegram | Instagram | Youtube
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djangoproject
@djangoproject · Post #179 · 30.09.2016 г., 07:46
https://pypi.python.org/pypi/MutPy/0.4.0 #MutPy is a mutation #testing tool for Python 3.x source code. MutPy supports standard #unittest module, generates YAML reports and has colorful output. It’s apply mutation on AST level. You could boost your mutation testing process with high order mutations (HOM) and code coverage analysis.
djangoproject
@djangoproject · Post #583 · 17.03.2018 г., 05:46
https://www.pluralsight.com/courses/unit-testing-python This course will help you to write good #unit_test for your Python code, using tools such as #unittest, #doctest and py.test. Unit tests should improve code quality, and also support future development. #test
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djangoproject
@djangoproject · Post #178 · 30.09.2016 г., 07:22
#Hypothesis is a Python library for creating #unit_tests which are simpler to write and more powerful when run, finding edge cases in your code you wouldn’t have thought to look for. It is stable, powerful and easy to add to any existing #test suite. #unittest https://hypothesis.readthedocs.io/en/latest/