6161#include < vector>
6262
6363/* * Library version: 0xMmP (M=Major,m=minor,P=patch) */
64- #define NANOFLANN_VERSION 0x160
64+ #define NANOFLANN_VERSION 0x161
6565
6666// Avoid conflicting declaration of min/max macros in Windows headers
6767#if !defined(NOMINMAX) && \
@@ -157,7 +157,6 @@ inline typename std::enable_if<!has_assign<Container>::value, void>::type
157157 for (size_t i = 0 ; i < nElements; i++) c[i] = value;
158158}
159159
160-
161160/* * operator "<" for std::sort() */
162161struct IndexDist_Sorter
163162{
@@ -2620,8 +2619,7 @@ struct KDTreeEigenMatrixAdaptor
26202619 explicit KDTreeEigenMatrixAdaptor (
26212620 const Dimension dimensionality,
26222621 const std::reference_wrapper<const MatrixType>& mat,
2623- const int leaf_max_size = 10 ,
2624- const unsigned int n_thread_build = 1 )
2622+ const int leaf_max_size = 10 , const unsigned int n_thread_build = 1 )
26252623 : m_data_matrix(mat)
26262624 {
26272625 const auto dims = row_major ? mat.get ().cols () : mat.get ().rows ();
@@ -2635,9 +2633,9 @@ struct KDTreeEigenMatrixAdaptor
26352633 " argument" );
26362634 index_ = new index_t (
26372635 dims, *this /* adaptor */ ,
2638- nanoflann::KDTreeSingleIndexAdaptorParams (leaf_max_size,
2639- nanoflann::KDTreeSingleIndexAdaptorFlags::None,
2640- n_thread_build));
2636+ nanoflann::KDTreeSingleIndexAdaptorParams (
2637+ leaf_max_size, nanoflann::KDTreeSingleIndexAdaptorFlags::None,
2638+ n_thread_build));
26412639 }
26422640
26432641 public:
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