#8750: numerical noise on solaris
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Reporter: jhpalmieri | Owner: drkirkby
Type: defect | Status: new
Priority: blocker | Milestone: sage-4.4
Component: solaris | Keywords:
Author: John Palmieri | Upstream: N/A
Reviewer: | Merged:
Work_issues: |
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Comment(by drkirkby):
Two questions:
* Is sage/finance/time_series.pyx failing on every platform? I'm trying
to understand why Solaris would give -inf and other system(s) -Inf. It
seems to me that:
{{{
finance.TimeSeries([1,0,3]).log()
}}}
is a lot nicer than
{{{
finance.TimeSeries([1,0,3]).log()[1]
}}}
So is it right to change the test to a more complicated one, just to get
the answer we want? If this comes from python, I find it hard to
understand why there should be the difference. Would a case-insensitive
test be a better method?
* Do we know what an exact (or high numerical precision value) to the
answer of the problem in sage/stats/hmm/chmm.pyx is? I'm always a bit
reluctant seeing numerical results, with no justification of the answer.
The approach taken in these doc tests seems to be: "The answer is X, since
I got X on my computer." Then someone gets a different answer on their
computer, so the precision of the test is reduced. But rarely do I see
much justification for the answer. (An exception has been in some problems
like exp(1.0), where the exact answer is known, and we can be sure the
problems are numerical rounding issues.
When one reads things like how SQLite (Open Source) is tested
http://sqlite.org/testing.html
or how Wolfram Research claim Mathematica (closed source) is tested
http://reference.wolfram.com/mathematica/tutorial/TestingAndVerification.html
I'm personally left with the feeling the testing in Sage leaves a lot to
be desired.
Dave
--
Ticket URL: <http://trac.sagemath.org/sage_trac/ticket/8750#comment:1>
Sage <http://www.sagemath.org>
Sage: Creating a Viable Open Source Alternative to Magma, Maple, Mathematica,
and MATLAB
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