Which mock library do you prefer?

Lacrima lacrima.maxim at gmail.com
Sun Feb 21 10:54:31 EST 2010


On Feb 18, 3:20 am, Ben Finney <ben+pyt... at benfinney.id.au> wrote:
> Lacrima <lacrima.ma... at gmail.com> writes:
> > Right, isolation [of test cases] is essential. But I can't decide to
> > which extent I should propagate isolation.
>
> You used “propagate” in a sense I don't understand there.
>
> > For example, in "Python Testing: Beginner's Guide" by Daniel Arbuckle,
> > author suggests that if you do unittesting you should isolate the
> > smallest units of code from each other.
>
> I'm not sure what the author means, but I would say that as it stands
> that advice is independent of what testing is being done. In all cases:
>
> * Make your code units small, so each one is not doing much and is easy
>   to understand.
>
> * Make the interface of units at each level as narrow as feasible, so
>   they're not brittle in the face of changes to the implementation.
>
> > For example, if you have a
> > class:
> > Class SomeClass(object):
> >     def method1(self):
> >         return 5
> >     def method2(self):
> >         return self.method1 + 10
>
> > According to the book, if you want to test method2, you should isolate
> > it from method1 and class instance('self').
>
> I don't really know what that means.
>
> Remember that each test case should not be “test method1”. That is far
> too broad, and in some cases too narrow. There is no one-to-one mapping
> between methods and unit test cases.
>
> Instead, each test case should test one true-or-false assertion about
> the behaviour of the code. “When we start with this initial state (the
> test fixture), and perform this operation, the resulting state is that”.
>
> It makes a lot of sense to name the test case so the assertion being
> made *is* its name: not ‘test frobnicate’ with dozens of assertions, but
> one ‘test_frobnicate_with_valid_spangulator_returns_true’ which makes
> that assertion, and extra ones for each distinct assertion.
>
> The failure of a unit test case should indicate *exactly* what has gone
> wrong. If you want to make multiple assertions about a code unit, write
> multiple test cases for that unit and name the tests accordingly.
>
> This incidentally requires that you test something small enough that
> such a true-or-false assertion is meaningful, which leads to
> well-designed code with small easily-tested code units. But that's an
> emergent property, not a natural law.
>
> > Currently, I don't create mocks of units if they are within the same
> > class with the unit under test. If that is not right approach, please,
> > explain what are best practices... I am just learning TDD..
>
> In the fixture of the unit test case, create whatever test doubles are
> necessary to put your code into the initial state you need for the test
> case; then tear all those down whatever the result of the test case.
>
> If you need to create great honking wads of fixtures for any test case,
> that is a code smell: your code units are too tightly coupled to
> persistent state, and need to be decoupled with narrow interfaces.
>
> The Python ‘unittest’ module makes this easier by letting you define
> fixtures common to many test cases (the ‘setUp’ and ‘tearDown’
> interface). My rule of thumb is: if I need to make different fixtures
> for some set of test cases, I write a new test case class for those
> cases.
>
> --
>  \       “Following fashion and the status quo is easy. Thinking about |
>   `\        your users' lives and creating something practical is much |
> _o__)                                harder.” —Ryan Singer, 2008-07-09 |
> Ben Finney

Hi, Ben!!!

Sorry for too late reply!!!
Thank you very much for sharing your experience! I still have to grasp
a lot in TDD.



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