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Let The Computer Write The Tests
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nbpy
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nbpy18
--room mystic 14456 --force
Next: 11 Python on Windows is Okay, Actually
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Marks
Author(s):
Dan Crosta
Location
Mystic Theatre
Date
nov Sun 04
Days Raw Files
Start
Nov. 4, 2018, 5:05 p.m.
First Raw Start
Nov. 4, 2018, 4:44 p.m.
Duration
0:30:0
Offset
0:20:49
End
Nov. 4, 2018, 5:35 p.m.
Last Raw End
Nov. 4, 2018, 6:06 p.m.
Chapters
00:00
0:19:06
Total cuts_time
28 min.
https://2018.northbaypython.org/schedule/presentation/21/
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The Hypothesis library by David McIver is a property testing library for Python. Property testing is related to fuzz testing, a technique commonly applied in fields where correctness is paramount. With a little guidance from you, the programmer, Hypothesis can generate a wide variety of valid -- and invalid -- inputs to your functions, and test scenarios you might never have considered. It can generate instances of your custom objects, and isn't limited just to simple functions. On top of all of this, when Hypothesis finds a failure, it will simplify the failing case, which aids tremendously in diagnosing what is actually wrong in your code. We'll take a look at what Hypothesis has to offer, and how you can apply it to your codebase. We'll see how to generate custom test case strategies, and how to generate instances of your own objects. Finally, we'll glance under the hood to see how Hypothesis generates test cases, and how it can automatically simplify them, to gain confidence that it's helping us find real bugs and not just flukes.
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production notes
2018-11-04/16_44_11.ts
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