That is a good idea. I will add that to the multivariate normal distribution
unit tests that I recently sent.
________________________________________
From: Gilles Sadowski [gil...@harfang.homelinux.org]
Sent: Sunday, July 22, 2012 5:44 PM
To: dev@commons.apache.org
Subject: [Math] Random tests sometimes fail (r1363105)
Hi Thomas.
I've encountered a failure of one the tests which you introduced in
revision 1363105. Here is an excerpt of the error:
---
testNormalDistributionUnsymmetricMatrix(org.apache.commons.math3.linear.EigenDecompositionTest)
Time elapsed: 0.044 sec <<< FAILURE!
java.lang.AssertionError: The norm of (X-Y) is too large
at org.junit.Assert.fail(Assert.java:93)
at org.junit.Assert.assertTrue(Assert.java:43)
at
org.apache.commons.math3.linear.EigenDecompositionTest.checkUnsymmetricMatrix(EigenDecompositionTest.java:422)
at
org.apache.commons.math3.linear.EigenDecompositionTest.testNormalDistributionUnsymmetricMatrix(EigenDecompositionTest.java:404)
[... etc ...]
---
For tests that uses a RNG, the conclusion was reached that it is better (for
unit tests) to select a seed for which the test succeeds.
Regards,
Gilles
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