pineapple/externals/vcpkg/ports/pcl/fix-namespace-cub.patch

diff --git a/gpu/features/src/centroid.cu b/gpu/features/src/centroid.cu
index 045fe6f..3e9ef8b 100644
--- a/gpu/features/src/centroid.cu
+++ b/gpu/features/src/centroid.cu
@@ -44,7 +44,6 @@
 
 #include "pcl/gpu/utils/device/vector_math.hpp"
 
-using namespace thrust;
 
 namespace pcl
 {
@@ -124,9 +123,10 @@ float3 pcl::device::getMaxDistance(const DeviceArray<PointT>& cloud, const float
     thrust::counting_iterator<int> ce = cf + cloud.size();
 
     thrust::tuple<float, int> init(0.f, 0);
-    thrust::maximum< tuple<float, int> > op;
+    thrust::maximum<thrust::tuple<float, int>> op;
     
-    tuple<float, int> res = transform_reduce(
+    thrust::tuple<float, int> res =
+        transform_reduce(
         make_zip_iterator(make_tuple( src_beg, cf )),
         make_zip_iterator(make_tuple( src_beg, ce )),
         TupleDistCvt(pivot), init, op);
@@ -151,9 +151,9 @@ float3 pcl::device::getMaxDistance(const DeviceArray<PointT>& cloud, const Indic
     thrust::counting_iterator<int> ce = cf + indices.size();
 
     thrust::tuple<float, int> init(0.f, 0);
-    thrust::maximum< tuple<float, int> > op;
+    thrust::maximum<thrust::tuple<float, int>> op;
     
-    tuple<float, int> res = transform_reduce(
+    thrust::tuple<float, int> res = transform_reduce(
         make_zip_iterator(make_tuple( make_permutation_iterator(src_beg, map_beg), cf )),
         make_zip_iterator(make_tuple( make_permutation_iterator(src_beg, map_end), ce )),
         TupleDistCvt(pivot), init, op);
diff --git a/gpu/octree/src/cuda/bfrs.cu b/gpu/octree/src/cuda/bfrs.cu
index d392f67..0635e1e 100644
--- a/gpu/octree/src/cuda/bfrs.cu
+++ b/gpu/octree/src/cuda/bfrs.cu
@@ -43,7 +43,6 @@
 
 #include "cuda.h"
 
-using namespace thrust;
 
 namespace pcl
 {    
@@ -80,11 +79,11 @@ void pcl::device::bruteForceRadiusSearch(const OctreeImpl::PointCloud& cloud, co
 
     InSphere cond(query.x, query.y, query.z, radius);
 
-    device_ptr<const PointType> cloud_ptr((const PointType*)cloud.ptr());
-    device_ptr<int> res_ptr(buffer.ptr());
+    thrust::device_ptr<const PointType> cloud_ptr((const PointType*)cloud.ptr());
+    thrust::device_ptr<int> res_ptr(buffer.ptr());
     
-    counting_iterator<int> first(0);
-    counting_iterator<int> last = first + cloud.size();
+    thrust::counting_iterator<int> first(0);
+    thrust::counting_iterator<int> last = first + cloud.size();
     
     //main bottle neck is a kernel call overhead/allocs
     //work time for 871k points ~0.8ms
diff --git a/gpu/octree/src/cuda/octree_builder.cu b/gpu/octree/src/cuda/octree_builder.cu
index dfd2093..faad764 100644
--- a/gpu/octree/src/cuda/octree_builder.cu
+++ b/gpu/octree/src/cuda/octree_builder.cu
@@ -51,7 +51,6 @@
 #include <thrust/device_ptr.h>
 
 using namespace pcl::gpu;
-using namespace thrust;
 
 namespace pcl 
 {
@@ -316,7 +315,7 @@ void pcl::device::OctreeImpl::build()
         // 3 * sizeof(int) => +1 row        
 
         const int transaction_size = 128 / sizeof(int);
-        int cols = max<int>(points_num, transaction_size * 4);
+        int cols = std::max<int>(points_num, transaction_size * 4);
         int rows = 10 + 1; // = 13
             
         storage.create(rows, cols);
@@ -338,8 +337,8 @@ void pcl::device::OctreeImpl::build()
     {
         //ScopeTimer timer("reduce-morton-sort-permutations"); 
     	
-        device_ptr<PointType> beg(points.ptr());
-        device_ptr<PointType> end = beg + points.size();
+        thrust::device_ptr<PointType> beg(points.ptr());
+        thrust::device_ptr<PointType> end = beg + points.size();
 
         {
             PointType atmax, atmin;
@@ -355,15 +354,15 @@ void pcl::device::OctreeImpl::build()
             octreeGlobal.maxp = make_float3(maxp.x, maxp.y, maxp.z);
         }
     		
-        device_ptr<int> codes_beg(codes.ptr());
-        device_ptr<int> codes_end = codes_beg + codes.size();
+        thrust::device_ptr<int> codes_beg(codes.ptr());
+        thrust::device_ptr<int> codes_end = codes_beg + codes.size();
         {
             //ScopeTimer timer("morton"); 
 	        thrust::transform(beg, end, codes_beg, CalcMorton(octreeGlobal.minp, octreeGlobal.maxp));
         }
 
-        device_ptr<int> indices_beg(indices.ptr());
-        device_ptr<int> indices_end = indices_beg + indices.size();
+        thrust::device_ptr<int> indices_beg(indices.ptr());
+        thrust::device_ptr<int> indices_end = indices_beg + indices.size();
         {
             //ScopeTimer timer("sort"); 
             thrust::sequence(indices_beg, indices_end);
@@ -378,9 +377,9 @@ void pcl::device::OctreeImpl::build()
         }
 
         {
-            device_ptr<float> xs(points_sorted.ptr(0));
-            device_ptr<float> ys(points_sorted.ptr(1));
-            device_ptr<float> zs(points_sorted.ptr(2));
+            thrust::device_ptr<float> xs(points_sorted.ptr(0));
+            thrust::device_ptr<float> ys(points_sorted.ptr(1));
+            thrust::device_ptr<float> zs(points_sorted.ptr(2));
             //ScopeTimer timer("perm2"); 
             thrust::transform(make_permutation_iterator(beg, indices_beg),
                               make_permutation_iterator(end, indices_end),