#13589: Controlling C3 to solve once for all the Method Resolution Order issues
for
category classes
----------------------------------------------------------+-----------------
Reporter: nthiery | Owner:
nthiery
Type: defect | Status:
needs_review
Priority: major | Milestone:
sage-5.11
Component: categories | Resolution:
Keywords: method resolution order, C3 | Work issues:
Report Upstream: N/A | Reviewers:
Simon King, Florent Hivert
Authors: Nicolas M. Thiéry | Merged in:
Dependencies: #12894, #12876, #11935, #12895, #10193 | Stopgaps:
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Comment (by SimonKing):
I don't know about statistics, but here it goes:
{{{
sage: T1 =
stats.TimeSeries([1485.052,1499.287,1499.921,1492.086,1493.375])
sage: T2 =
stats.TimeSeries([1495.342,1504.880,1502.199,1497.281,1508.277])
sage: T3 =
stats.TimeSeries([1499.909,1498.731,1499.289,1502.179,1489.887])
sage: T1.mean(), T1.variance()
(1493.9442000000001, 36.77894170000064)
sage: T2.mean(), T2.variance()
(1501.5958, 28.378941700000148)
sage: T3.mean(), T3.variance()
(1497.999, 22.281242000000503)
}}}
I guess five runs are simply not enough to get anything significant, but
the means seem to indicate that the last two patches reduce the regression
by 50%. Admittedly, what is 4 ms, if the variance is 22 ms?
--
Ticket URL: <http://trac.sagemath.org/sage_trac/ticket/13589#comment:61>
Sage <http://www.sagemath.org>
Sage: Creating a Viable Open Source Alternative to Magma, Maple, Mathematica,
and MATLAB
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