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Co-authored-by: Andrew Le Bihan <andy@mcneel.com> Co-authored-by: Dale Fugier <dale@mcneel.com> Co-authored-by: Dale Lear <dalelear@mcneel.com> Co-authored-by: David Eränen <deranen@gmail.com> Co-authored-by: Greg Arden <greg@mcneel.com> Co-authored-by: Jussi Aaltonen <jussi@mcneel.com> Co-authored-by: Lowell <lowell@mcneel.com> Co-authored-by: Mikko Oksanen <mikko@mcneel.com> Co-authored-by: Pierre Cuvilliers <pierre@mcneel.com> Co-authored-by: Steve Baer <steve@mcneel.com> Co-authored-by: chuck <chuck@mcneel.com> Co-authored-by: piac <giulio@mcneel.com> Co-authored-by: wfcook <wfcook@mcneel.com>
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@@ -168,7 +168,7 @@ bool ON_PassesNanTest()
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const double zero = 0.0;
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const double one = 1.0;
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// nan != * and * != nan should alwasy be true
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// nan != * and * != nan should always be true
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const bool b_NE_test
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= nan1 != nan1
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&& nan1 != nan2
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@@ -2566,7 +2566,7 @@ double ON_SolveNxN(bool bFullPivot, bool bNormalize, int n, double* M[], double
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// The Xdex_buffer[] hoo haa is here to avoid an potentially time
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// consuming call to heap services when the matrix is small.
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// When n > 64 the numerical portion of the computation is
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// long enough that the time to call onmalloc() is negligable.
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// long enough that the time to call onmalloc() is negligible.
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// (When n > 10-ish, this calculation is likely to return junk
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// unless you have a special case matrix, in which case this
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// function will be much slower than one that is designed to
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