From 9285647dfe91c2fe3db112e71b219ee16db81e87 Mon Sep 17 00:00:00 2001
From: Gael Guennebaud <g.gael@free.fr>
Date: Fri, 30 Oct 2015 14:44:22 +0100
Subject: Limit matrix size when testing for NaN: they can become prohibitively
 expensive when running on x87 fp unit

---
 test/eigensolver_selfadjoint.cpp | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'test/eigensolver_selfadjoint.cpp')

diff --git a/test/eigensolver_selfadjoint.cpp b/test/eigensolver_selfadjoint.cpp
index a7b4deb5d..f909761a1 100644
--- a/test/eigensolver_selfadjoint.cpp
+++ b/test/eigensolver_selfadjoint.cpp
@@ -149,7 +149,7 @@ template<typename MatrixType> void selfadjointeigensolver(const MatrixType& m)
     VERIFY_IS_APPROX(tridiag.matrixT(), eiSymmTridiag.eigenvectors().real() * eiSymmTridiag.eigenvalues().asDiagonal() * eiSymmTridiag.eigenvectors().real().transpose());
   }
 
-  if (rows > 1)
+  if (rows > 1 && rows < 20)
   {
     // Test matrix with NaN
     symmC(0,0) = std::numeric_limits<typename MatrixType::RealScalar>::quiet_NaN();
-- 
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