the min/max macros to detect unprotected min/max were undefined by some std header,

so let's declare them after and do the respective fixes ;)

10 files changed, 16 insertions, 16 deletions

diff --git a/unsupported/Eigen/FFT b/unsupported/Eigen/FFT
index 0b2823058..c56bd63d6 100644
--- a/unsupported/Eigen/FFT
+++ b/unsupported/Eigen/FFT
@@ -331,7 +331,7 @@ class FFT
         // if the vector is strided, then we need to copy it to a packed temporary
         Matrix<src_type,1,Dynamic> tmp;
         if ( resize_input ) {
-          size_t ncopy = std::min(src.size(),src.size() + resize_input);
+          size_t ncopy = (std::min)(src.size(),src.size() + resize_input);
           tmp.setZero(src.size() + resize_input);
           if ( realfft && HasFlag(HalfSpectrum) ) {
             // pad at the Nyquist bin
diff --git a/unsupported/Eigen/src/BVH/BVAlgorithms.h b/unsupported/Eigen/src/BVH/BVAlgorithms.h
index e6fdf4737..d65a97740 100644
--- a/unsupported/Eigen/src/BVH/BVAlgorithms.h
+++ b/unsupported/Eigen/src/BVH/BVAlgorithms.h
@@ -231,7 +231,7 @@ private:
 template<typename BVH, typename Minimizer>
 typename Minimizer::Scalar BVMinimize(const BVH &tree, Minimizer &minimizer)
 {
-  return internal::minimize_helper(tree, minimizer, tree.getRootIndex(), std::numeric_limits<typename Minimizer::Scalar>::max());
+  return internal::minimize_helper(tree, minimizer, tree.getRootIndex(), (std::numeric_limits<typename Minimizer::Scalar>::max)());
 }
 
 /**  Given two BVH's, runs the query on their cartesian product encapsulated by \a minimizer.
@@ -264,7 +264,7 @@ typename Minimizer::Scalar BVMinimize(const BVH1 &tree1, const BVH2 &tree2, Mini
   ObjIter2 oBegin2 = ObjIter2(), oEnd2 = ObjIter2(), oCur2 = ObjIter2();
   std::priority_queue<QueueElement, std::vector<QueueElement>, std::greater<QueueElement> > todo; //smallest is at the top
 
-  Scalar minimum = std::numeric_limits<Scalar>::max();
+  Scalar minimum = (std::numeric_limits<Scalar>::max)();
   todo.push(std::make_pair(Scalar(), std::make_pair(tree1.getRootIndex(), tree2.getRootIndex())));
 
   while(!todo.empty()) {
diff --git a/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h b/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h
index cedb1d551..50c0ca84e 100644
--- a/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h
+++ b/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h
@@ -259,7 +259,7 @@ void MatrixExponential<MatrixType>::computeUV(float)
     pade5(m_M);
   } else {
     const float maxnorm = 3.925724783138660f;
-    m_squarings = max(0, (int)ceil(log2(m_l1norm / maxnorm)));
+    m_squarings = (max)(0, (int)ceil(log2(m_l1norm / maxnorm)));
     MatrixType A = m_M / pow(Scalar(2), Scalar(static_cast<RealScalar>(m_squarings)));
     pade7(A);
   }
@@ -281,7 +281,7 @@ void MatrixExponential<MatrixType>::computeUV(double)
     pade9(m_M);
   } else {
     const double maxnorm = 5.371920351148152;
-    m_squarings = max(0, (int)ceil(log2(m_l1norm / maxnorm)));
+    m_squarings = (max)(0, (int)ceil(log2(m_l1norm / maxnorm)));
     MatrixType A = m_M / pow(Scalar(2), Scalar(m_squarings));
     pade13(A);
   }
diff --git a/unsupported/test/BVH.cpp b/unsupported/test/BVH.cpp
index d773afb77..e77e84b6d 100644
--- a/unsupported/test/BVH.cpp
+++ b/unsupported/test/BVH.cpp
@@ -90,13 +90,13 @@ struct BallPointStuff //this class provides functions to be both an intersector
   }
 
   double minimumOnVolume(const BoxType &r) { ++calls; return r.squaredExteriorDistance(p); }
-  double minimumOnObject(const BallType &b) { ++calls; return std::max(0., (b.center - p).squaredNorm() - SQR(b.radius)); }
+  double minimumOnObject(const BallType &b) { ++calls; return (std::max)(0., (b.center - p).squaredNorm() - SQR(b.radius)); }
   double minimumOnVolumeVolume(const BoxType &r1, const BoxType &r2) { ++calls; return r1.squaredExteriorDistance(r2); }
-  double minimumOnVolumeObject(const BoxType &r, const BallType &b) { ++calls; return SQR(std::max(0., r.exteriorDistance(b.center) - b.radius)); }
-  double minimumOnObjectVolume(const BallType &b, const BoxType &r) { ++calls; return SQR(std::max(0., r.exteriorDistance(b.center) - b.radius)); }
-  double minimumOnObjectObject(const BallType &b1, const BallType &b2){ ++calls; return SQR(std::max(0., (b1.center - b2.center).norm() - b1.radius - b2.radius)); }
+  double minimumOnVolumeObject(const BoxType &r, const BallType &b) { ++calls; return SQR((std::max)(0., r.exteriorDistance(b.center) - b.radius)); }
+  double minimumOnObjectVolume(const BallType &b, const BoxType &r) { ++calls; return SQR((std::max)(0., r.exteriorDistance(b.center) - b.radius)); }
+  double minimumOnObjectObject(const BallType &b1, const BallType &b2){ ++calls; return SQR((std::max)(0., (b1.center - b2.center).norm() - b1.radius - b2.radius)); }
   double minimumOnVolumeObject(const BoxType &r, const VectorType &v) { ++calls; return r.squaredExteriorDistance(v); }
-  double minimumOnObjectObject(const BallType &b, const VectorType &v){ ++calls; return SQR(std::max(0., (b.center - v).norm() - b.radius)); }
+  double minimumOnObjectObject(const BallType &b, const VectorType &v){ ++calls; return SQR((std::max)(0., (b.center - v).norm() - b.radius)); }
 
   VectorType p;
   int calls;
diff --git a/unsupported/test/cg.cpp b/unsupported/test/cg.cpp
index a9ac81960..ba14275d3 100644
--- a/unsupported/test/cg.cpp
+++ b/unsupported/test/cg.cpp
@@ -27,7 +27,7 @@
 
 template<typename Scalar,typename Index> void cg(int size)
 {
-  double density = std::max(8./(size*size), 0.01);
+  double density = (std::max)(8./(size*size), 0.01);
   typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
   typedef Matrix<Scalar,Dynamic,1> DenseVector;
   typedef SparseMatrix<Scalar,ColMajor,Index> SparseMatrixType;  
diff --git a/unsupported/test/matrix_exponential.cpp b/unsupported/test/matrix_exponential.cpp
index 5ea438c2a..996b42a7f 100644
--- a/unsupported/test/matrix_exponential.cpp
+++ b/unsupported/test/matrix_exponential.cpp
@@ -36,7 +36,7 @@ double binom(int n, int k)
 template <typename Derived, typename OtherDerived>
 double relerr(const MatrixBase<Derived>& A, const MatrixBase<OtherDerived>& B)
 {
-  return std::sqrt((A - B).cwiseAbs2().sum() / std::min(A.cwiseAbs2().sum(), B.cwiseAbs2().sum()));
+  return std::sqrt((A - B).cwiseAbs2().sum() / (std::min)(A.cwiseAbs2().sum(), B.cwiseAbs2().sum()));
 }
 
 template <typename T>
diff --git a/unsupported/test/sparse_extra.cpp b/unsupported/test/sparse_extra.cpp
index a004995f6..b1fd481e8 100644
--- a/unsupported/test/sparse_extra.cpp
+++ b/unsupported/test/sparse_extra.cpp
@@ -67,7 +67,7 @@ template<typename SparseMatrixType> void sparse_extra(const SparseMatrixType& re
   typedef typename SparseMatrixType::Scalar Scalar;
   enum { Flags = SparseMatrixType::Flags };
 
-  double density = std::max(8./(rows*cols), 0.01);
+  double density = (std::max)(8./(rows*cols), 0.01);
   typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
   typedef Matrix<Scalar,Dynamic,1> DenseVector;
   Scalar eps = 1e-6;
diff --git a/unsupported/test/sparse_ldlt.cpp b/unsupported/test/sparse_ldlt.cpp
index 43ff2682f..c387f78ac 100644
--- a/unsupported/test/sparse_ldlt.cpp
+++ b/unsupported/test/sparse_ldlt.cpp
@@ -33,7 +33,7 @@ template<typename Scalar,typename Index> void sparse_ldlt(int rows, int cols)
 {
   static bool odd = true;
   odd = !odd;
-  double density = std::max(8./(rows*cols), 0.01);
+  double density = (std::max)(8./(rows*cols), 0.01);
   typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
   typedef Matrix<Scalar,Dynamic,1> DenseVector;
   typedef SparseMatrix<Scalar,ColMajor,Index> SparseMatrixType;
diff --git a/unsupported/test/sparse_llt.cpp b/unsupported/test/sparse_llt.cpp
index a997deb82..1b3b3bb9b 100644
--- a/unsupported/test/sparse_llt.cpp
+++ b/unsupported/test/sparse_llt.cpp
@@ -31,7 +31,7 @@
 
 template<typename Scalar,typename Index> void sparse_llt(int rows, int cols)
 {
-  double density = std::max(8./(rows*cols), 0.01);
+  double density = (std::max)(8./(rows*cols), 0.01);
   typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
   typedef Matrix<Scalar,Dynamic,1> DenseVector;
   typedef SparseMatrix<Scalar,ColMajor,Index> SparseMatrixType;
diff --git a/unsupported/test/sparse_lu.cpp b/unsupported/test/sparse_lu.cpp
index bb0dccdb5..8c115eebf 100644
--- a/unsupported/test/sparse_lu.cpp
+++ b/unsupported/test/sparse_lu.cpp
@@ -35,7 +35,7 @@
 
 template<typename Scalar> void sparse_lu(int rows, int cols)
 {
-  double density = std::max(8./(rows*cols), 0.01);
+  double density = (std::max)(8./(rows*cols), 0.01);
   typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
   typedef Matrix<Scalar,Dynamic,1> DenseVector;