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New testing tool: Hypothesis

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`@@ -190,6 +190,40 @@ the unittest module!`
`190`	`190`	`py.test<https://docs.pytest.org/en/latest/>`_
`191`	`191`
`192`	`192`
	`193`	`+Hypothesis`
	`194`	`+----------`
	`195`	`+`
	`196`	`+Hypothesis is a library which lets you write tests that are parametrized by`
	`197`	`+a source of examples. It then generates simple and comprehensible examples`
	`198`	`+that make your tests fail, letting you find more bugs with less work.`
	`199`	`+`
	`200`	`+..code-block::console`
	`201`	`+`
	`202`	`+ $ pip install hypothesis`
	`203`	`+`
	`204`	`+For example, testing lists of floats will try many examples, but report the`
	`205`	`+minimal example of each bug (distinguished exception type and location):`
	`206`	`+`
	`207`	`+..code-block::python`
	`208`	`+`
	`209`	`+@given(lists(floats(allow_nan=False,allow_infinity=False),min_size=1))`
	`210`	`+deftest_mean(xs):`
	`211`	`+ mean=sum(xs)/len(xs)`
	`212`	`+assertmin(xs)<= mean(xs)<=max(xs)`
	`213`	`+`
	`214`	`+..code-block::`
	`215`	`+`
	`216`	`+ Falsifying example: test_mean(`
	`217`	`+ xs=[1.7976321109618856e+308, 6.102390043022755e+303]`
	`218`	`+ )`
	`219`	`+`
	`220`	`+Hypothesis is practical as well as very powerful, and will often find bugs`
	`221`	`+that escaped all other forms of testing. It integrates well with py.test,`
	`222`	`+and has a strong focus on usability in both simple and advanced scenarios.`
	`223`	`+`
	`224`	+ `hypothesis<https://hypothesis.readthedocs.io/en/latest/>`_
	`225`	`+`
	`226`	`+`
`193`	`227`	`tox`
`194`	`228`	`---`
`195`	`229`

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