💰 Инструмент для монетизации приложений Yandex Mobile Ads SDK 7 обновился
У издателей приложений появилось больше возможностей увеличить доход от рекламы. Во-первых, появился новый формат монетизации «Лента», который уже доступен для Android-версий приложений. С помощью него можно показать в одном рекламном блоке сразу несколько объявлений.
Во-вторых, в полноэкранных форматах появились новые дизайны. Они помогут повысить вовлеченность юзеров. В-третьих, для iOS также добавлена возможность устанавливать приложение прямо из объявления (SKOverlay) за один клик, переходить в App Store для этого не нужно.
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#платформа
https://code.tutsplus.com/tutorials/behavior-driven-development-in-python--net-26547
Behavior-Driven Development (which we will now refer to as "#BDD") follows on from the ideas and principles introduced in #Test-Driven Development. The key points of writing tests before code really apply to BDD as well. The idea is to not only test your code at the granular level with unit tests, but also test your application end to end, using acceptance tests. We will introduce this style of testing with the use of the Lettuce testing framework.
http://pythonhosted.org/behave/
behave is behaviour-driven development, Python style.
Behavior-driven development (or #BDD) is an agile software development technique that encourages collaboration between developers, #QA and non-technical or business participants in a software project. We have a page further describing this philosophy.
behave uses tests written in a natural language style, backed up by Python code.
Once you’ve installed behave, we recommend reading the
tutorial first and then
feature test setup,
behave API and
related software (things that you can combine with behave)
finally: how to use and configure the behave tool.
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.