000			02827cam a22002535i 4500
003			GSU
005			20260618110117.0
008			230210s2021 ncu 000 0 eng
020			_a9781680508604
040			_aDLC _beng _erda _cDLC _dGSU
050		4	_aQA76.73.P98 _bOKK
100	1		_aOkken, Brian, _eauthor.
245	0	0	_aPython testing with pytest : _bsimple, rapid, effective and scalable / _cBrian Okken.
250			_aSecond edition.
264		1	_aRaleigh, North Carolina : _bThe Pragmatic Bookshelf, _c©2021.
300			_axviii, 248 pages ; _c24cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aThe Pragmatic Programmers.
504			_aIncludes index
520			_aTest applications, packages, and libraries large and small with pytest, Python's most powerful testing framework. pytest helps you write tests quickly and keep them readable and maintainable. In this fully revised edition, explore pytest's superpowers - simple asserts, fixtures, parametrization, markers, and plugins - while creating simple tests and test suites against a small database application. Using a robust yet simple fixture model, it's just as easy to write small tests with pytest as it is to scale up to complex functional testing. This book shows you how.pytest is undeniably the best choice for testing Python projects. It's a full-featured, flexible, and extensible testing framework. pytest's fixture model allows you to share test data and setup procedures across multiple layers of tests. The pytest framework gives you powerful features such as assert rewriting, parametrization, markers, plugins, parallel test execution, and clear test failure reporting - with no boilerplate code.With simple step-by-step instructions and sample code, this book gets you up to speed quickly on this easy-to-learn yet powerful tool. Write short, maintainable tests that elegantly express what you're testing. Speed up test times by distributing tests across multiple processors and running tests in parallel. Use Python's builtin assert statements instead of awkward assert helper functions to make your tests more readable. Move setup code out of tests and into fixtures to separate setup failures from test failures. Test error conditions and corner cases with expected exception testing, and use one test to run many test cases with parameterized testing. Extend pytest with plugins, connect it to continuous integration systems, and use it in tandem with tox, mock, coverage, and even existing unittest tests.Write simple, maintainable tests quickly with pytest.What You Need:The examples in this book were written using Python 3.10 and pytest 7. pytest 7 supports Python 3.5 and above.
942			_2lcc _cBK _eSecond edition _hQA76.73.P98 _kQA _mOKK _n0
999			_c2782 _d2782