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Source channel @olddriverGDstudy · Post #51 · Mar 24

#上头诫#知识 噫吁嚱,呜呼哀哉。佳丽之心, 如渊似海云雾间。前有鬼者心有属,今有上将四人间。心似骄阳深似火,怎当白桓是真心。柳间戏水不得喻,错将弱颜当磐石。今日不见凄鬼之心散步言语现,此时却如千万金石尽如吼头甜。千言万语悬浮脑海间,百转千回纠缠心火炼。上将游戏四水间,怎奈四水通流涧。不得可可不得乖,碧水深潭心坏怜。心知真己不觉少,奈何四水风见消。索向索梁不觉走,回神已在深涧见。深涧云气鬼雾袅,崖山悬顶有佳囡。云烟做红霞,鬼雾做红妆。似是云波似是锦,可文鬼泣是有心。东升日出朝阳起,云散无效鬼泪去。不知南柯曾觉晓,梦里梦外梦惺惺。囡囡心念念,鬼鬼向戚戚。柳七窃窃似潇潇,新年却已入人牢。谁知何时却明晓,涉水不足总深腰。无问无知无所念,有情有景有春宵。尽知尽晓秀哥谣,不管不顾十诫飘。愿此流真做悲景,莫要上头惹人笑。

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djangoproject

@djangoproject · Post #335 · 05/09/2017, 05:22 AM

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.

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djangoproject

@djangoproject · Post #199 · 11/29/2016, 04:13 PM

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.

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djangoproject

@djangoproject · Post #552 · 01/23/2018, 04:33 PM

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.