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From Al Chou <>
Subject Re: [math] Distributions tests
Date Sun, 09 May 2004 00:39:43 GMT
--- Phil Steitz <> wrote:
> To close out BZ #28829, I need to add some degenerate test cases to 
> BinomialDistributionTest.  As I started to do this, I realized that adding 
> more test points would be easier and we could eliminate duplication of 
> code across test classes in the distributions package if we defined 
> abstract test classes for discrete and continuous distributions that 
> provided generic verification methods. The setup for the discrete case 
> looks like this:
> Abstract base class for {@link DiscreteDistribution} tests.
> <p>
> To create a concrete test class for a discrete distribution implementation,
> implement makeDistribution() to return a distribution instance to use in
> tests and each of the test data generation methods below.  In each case, 
> the test points and test values arrays returned represent parallel arrays 
> of inputs and expected values for the distribution returned by 
> makeDistribution().
> <p>
> makeDensityTestPoints() -- arguments used to test probability density 
> calculation
> makeDensityTestValues() -- expected probability densities
> makeCumulativeTestPoints() -- arguments used to test cumulative probabilities
> makeCumulativeTestValues() -- expected cumulative probabilites
> makeInverseCumulativeTestPoints() -- arguments used to test inverse cdf 
> evaluation
> makeInverseCumulativeTestValues() -- expected inverse cdf values
> Then one default method for each type of test runs through the test points 
> / expected values and checks the test instance.  To support tests using 
> multiple instances, setXxx methods would also be provided for the instance 
> and test data arrays.  Similar setup for continuous. This will make it 
> easier to add more test cases (including adding missing tests for discrete 
> pdf calculations) and simplify development of new distribution test 
> classes. Any objections?
> Phil

Sounds very reasonable to me.


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