mirror of https://github.com/CGAL/cgal
CGAL_TRACE() -> CGAL_TRACE_STREAM
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@ -184,7 +184,7 @@ jet_estimate_normals(
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using parameters::choose_parameter;
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using parameters::choose_parameter;
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using parameters::get_parameter;
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using parameters::get_parameter;
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CGAL_TRACE("Calls jet_estimate_normals()\n");
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CGAL_TRACE_STREAM << "Calls jet_estimate_normals()\n";
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// basic geometric types
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// basic geometric types
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typedef typename PointRange::iterator iterator;
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typedef typename PointRange::iterator iterator;
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@ -221,13 +221,15 @@ jet_estimate_normals(
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// precondition: at least 2 nearest neighbors
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// precondition: at least 2 nearest neighbors
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CGAL_point_set_processing_precondition(k >= 2 || neighbor_radius > FT(0));
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CGAL_point_set_processing_precondition(k >= 2 || neighbor_radius > FT(0));
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std::size_t memory = CGAL::Memory_sizer().virtual_size(); CGAL_TRACE(" %ld Mb allocated\n", memory>>20);
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std::size_t memory = CGAL::Memory_sizer().virtual_size();
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CGAL_TRACE(" Creates KD-tree\n");
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CGAL_TRACE_STREAM << (memory >> 20) << " Mb allocated\n";
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CGAL_TRACE_STREAM << " Creates KD-tree\n";
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Neighbor_query neighbor_query (points, point_map);
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Neighbor_query neighbor_query (points, point_map);
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memory = CGAL::Memory_sizer().virtual_size(); CGAL_TRACE(" %ld Mb allocated\n", memory>>20);
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memory = CGAL::Memory_sizer().virtual_size();
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CGAL_TRACE(" Computes normals\n");
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CGAL_TRACE_STREAM << (memory >> 20) << " Mb allocated\n";
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CGAL_TRACE_STREAM << " Computes normals\n";
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std::size_t nb_points = points.size();
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std::size_t nb_points = points.size();
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@ -251,8 +253,9 @@ jet_estimate_normals(
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callback_wrapper.join();
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callback_wrapper.join();
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memory = CGAL::Memory_sizer().virtual_size(); CGAL_TRACE(" %ld Mb allocated\n", memory>>20);
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memory = CGAL::Memory_sizer().virtual_size();
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CGAL_TRACE("End of jet_estimate_normals()\n");
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CGAL_TRACE_STREAM << (memory >> 20) << " Mb allocated\n";
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CGAL_TRACE_STREAM << "End of jet_estimate_normals()\n";
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}
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}
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@ -245,7 +245,7 @@ mst_find_source(
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NormalMap normal_map, ///< property map: value_type of ForwardIterator -> Vector_3
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NormalMap normal_map, ///< property map: value_type of ForwardIterator -> Vector_3
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const Kernel& /*kernel*/) ///< geometric traits.
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const Kernel& /*kernel*/) ///< geometric traits.
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{
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{
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CGAL_TRACE(" mst_find_source()\n");
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CGAL_TRACE_STREAM << " mst_find_source()\n";
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// Input points types
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// Input points types
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typedef typename boost::property_traits<NormalMap>::value_type Vector;
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typedef typename boost::property_traits<NormalMap>::value_type Vector;
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@ -270,8 +270,8 @@ mst_find_source(
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Vector_ref normal = get(normal_map,*top_point);
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Vector_ref normal = get(normal_map,*top_point);
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const Vector Z(0, 0, 1);
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const Vector Z(0, 0, 1);
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if (Z * normal < 0) {
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if (Z * normal < 0) {
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CGAL_TRACE(" Flip top point normal\n");
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CGAL_TRACE_STREAM << " Flip top point normal\n";
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put(normal_map,*top_point, -normal);
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put(normal_map,*top_point, -normal);
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}
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}
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return top_point;
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return top_point;
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@ -329,13 +329,15 @@ create_riemannian_graph(
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// Number of input points
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// Number of input points
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const std::size_t num_input_points = points.size();
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const std::size_t num_input_points = points.size();
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std::size_t memory = CGAL::Memory_sizer().virtual_size(); CGAL_TRACE(" %ld Mb allocated\n", memory>>20);
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std::size_t memory = CGAL::Memory_sizer().virtual_size();
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CGAL_TRACE(" Creates KD-tree\n");
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CGAL_TRACE_STREAM << (memory >> 20) << " Mb allocated\n";
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CGAL_TRACE_STREAM << " Creates KD-tree\n";
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Neighbor_query neighbor_query (points, point_map);
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Neighbor_query neighbor_query (points, point_map);
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memory = CGAL::Memory_sizer().virtual_size(); CGAL_TRACE(" %ld Mb allocated\n", memory>>20);
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memory = CGAL::Memory_sizer().virtual_size();
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CGAL_TRACE(" Creates Riemannian Graph\n");
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CGAL_TRACE_STREAM << (memory >> 20) << " Mb allocated\n";
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CGAL_TRACE_STREAM << " Creates Riemannian Graph\n";
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// Iterates over input points and creates Riemannian Graph:
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// Iterates over input points and creates Riemannian Graph:
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// - vertices are numbered like the input points index.
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// - vertices are numbered like the input points index.
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@ -465,8 +467,9 @@ create_mst_graph(
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// Number of input points
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// Number of input points
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const std::size_t num_input_points = num_vertices(riemannian_graph) - 1;
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const std::size_t num_input_points = num_vertices(riemannian_graph) - 1;
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std::size_t memory = CGAL::Memory_sizer().virtual_size(); CGAL_TRACE(" %ld Mb allocated\n", memory>>20);
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std::size_t memory = CGAL::Memory_sizer().virtual_size();
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CGAL_TRACE(" Calls boost::prim_minimum_spanning_tree()\n");
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CGAL_TRACE_STREAM << (memory >> 20) << " Mb allocated\n";
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CGAL_TRACE_STREAM << " Calls boost::prim_minimum_spanning_tree()\n";
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// Computes Minimum Spanning Tree.
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// Computes Minimum Spanning Tree.
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std::size_t source_point_index = num_input_points;
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std::size_t source_point_index = num_input_points;
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@ -478,8 +481,9 @@ create_mst_graph(
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weight_map( riemannian_graph_weight_map )
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weight_map( riemannian_graph_weight_map )
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.root_vertex( vertex(source_point_index, riemannian_graph) ));
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.root_vertex( vertex(source_point_index, riemannian_graph) ));
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memory = CGAL::Memory_sizer().virtual_size(); CGAL_TRACE(" %ld Mb allocated\n", memory>>20);
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memory = CGAL::Memory_sizer().virtual_size();
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CGAL_TRACE(" Creates MST Graph\n");
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CGAL_TRACE_STREAM << (memory >> 20) << " Mb allocated\n";
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CGAL_TRACE_STREAM << " Creates MST Graph\n";
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// Converts predecessor map to a MST graph:
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// Converts predecessor map to a MST graph:
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// - vertices are numbered like the input points index.
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// - vertices are numbered like the input points index.
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@ -605,7 +609,7 @@ mst_orient_normals(
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using parameters::choose_parameter;
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using parameters::choose_parameter;
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using parameters::get_parameter;
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using parameters::get_parameter;
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CGAL_TRACE("Calls mst_orient_normals()\n");
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CGAL_TRACE_STREAM << "Calls mst_orient_normals()\n";
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typedef typename CGAL::GetPointMap<PointRange, NamedParameters>::type PointMap;
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typedef typename CGAL::GetPointMap<PointRange, NamedParameters>::type PointMap;
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typedef typename Point_set_processing_3::GetNormalMap<PointRange, NamedParameters>::type NormalMap;
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typedef typename Point_set_processing_3::GetNormalMap<PointRange, NamedParameters>::type NormalMap;
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@ -643,8 +647,9 @@ mst_orient_normals(
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// Precondition: at least 2 nearest neighbors
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// Precondition: at least 2 nearest neighbors
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CGAL_point_set_processing_precondition(k >= 2);
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CGAL_point_set_processing_precondition(k >= 2);
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std::size_t memory = CGAL::Memory_sizer().virtual_size(); CGAL_TRACE(" %ld Mb allocated\n", memory>>20);
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std::size_t memory = CGAL::Memory_sizer().virtual_size();
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CGAL_TRACE(" Create Index_property_map\n");
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CGAL_TRACE_STREAM << (memory >> 20) << " Mb allocated\n";
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CGAL_TRACE_STREAM << " Create Index_property_map\n";
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// Create a property map Iterator -> index.
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// Create a property map Iterator -> index.
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// - if typename PointRange::iterator is a random access iterator (typically vector and deque),
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// - if typename PointRange::iterator is a random access iterator (typically vector and deque),
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@ -686,8 +691,9 @@ mst_orient_normals(
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kernel,
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kernel,
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riemannian_graph);
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riemannian_graph);
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memory = CGAL::Memory_sizer().virtual_size(); CGAL_TRACE(" %ld Mb allocated\n", memory>>20);
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memory = CGAL::Memory_sizer().virtual_size();
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CGAL_TRACE(" Calls boost::breadth_first_search()\n");
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CGAL_TRACE_STREAM << (memory >> 20) << " Mb allocated\n";
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CGAL_TRACE_STREAM << " Calls boost::breadth_first_search()\n";
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const std::size_t num_input_points = distance(points.begin(), points.end());
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const std::size_t num_input_points = distance(points.begin(), points.end());
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std::size_t source_point_index = num_input_points;
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std::size_t source_point_index = num_input_points;
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@ -717,10 +723,11 @@ mst_orient_normals(
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std::copy(unoriented_points.begin(), unoriented_points.end(), first_unoriented_point);
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std::copy(unoriented_points.begin(), unoriented_points.end(), first_unoriented_point);
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// At this stage, we have typically 0 unoriented normals if k is large enough
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// At this stage, we have typically 0 unoriented normals if k is large enough
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CGAL_TRACE(" => %u normals are unoriented\n", unoriented_points.size());
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CGAL_TRACE_STREAM << " => " << unoriented_points.size() << " normals are unoriented\n";
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memory = CGAL::Memory_sizer().virtual_size(); CGAL_TRACE(" %ld Mb allocated\n", memory>>20);
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memory = CGAL::Memory_sizer().virtual_size();
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CGAL_TRACE("End of mst_orient_normals()\n");
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CGAL_TRACE_STREAM << (memory >> 20) << " Mb allocated\n";
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CGAL_TRACE_STREAM << "End of mst_orient_normals()\n";
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return first_unoriented_point;
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return first_unoriented_point;
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}
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}
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@ -159,7 +159,7 @@ pca_estimate_normals(
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using parameters::choose_parameter;
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using parameters::choose_parameter;
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using parameters::get_parameter;
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using parameters::get_parameter;
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CGAL_TRACE("Calls pca_estimate_normals()\n");
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CGAL_TRACE_STREAM << "Calls pca_estimate_normals()\n";
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// basic geometric types
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// basic geometric types
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typedef typename CGAL::GetPointMap<PointRange, NamedParameters>::type PointMap;
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typedef typename CGAL::GetPointMap<PointRange, NamedParameters>::type PointMap;
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// precondition: at least 2 nearest neighbors
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// precondition: at least 2 nearest neighbors
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CGAL_point_set_processing_precondition(k >= 2);
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CGAL_point_set_processing_precondition(k >= 2);
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std::size_t memory = CGAL::Memory_sizer().virtual_size(); CGAL_TRACE(" %ld Mb allocated\n", memory>>20);
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std::size_t memory = CGAL::Memory_sizer().virtual_size();
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CGAL_TRACE(" Creates KD-tree\n");
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CGAL_TRACE_STREAM << (memory >> 20) << " Mb allocated\n";
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CGAL_TRACE_STREAM << " Creates KD-tree\n";
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Neighbor_query neighbor_query (points, point_map);
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Neighbor_query neighbor_query (points, point_map);
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memory = CGAL::Memory_sizer().virtual_size(); CGAL_TRACE(" %ld Mb allocated\n", memory>>20);
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memory = CGAL::Memory_sizer().virtual_size();
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CGAL_TRACE(" Computes normals\n");
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CGAL_TRACE_STREAM << (memory >> 20) << " Mb allocated\n";
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CGAL_TRACE_STREAM << " Computes normals\n";
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std::size_t nb_points = points.size();
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std::size_t nb_points = points.size();
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callback_wrapper.join();
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callback_wrapper.join();
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memory = CGAL::Memory_sizer().virtual_size(); CGAL_TRACE(" %ld Mb allocated\n", memory>>20);
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memory = CGAL::Memory_sizer().virtual_size();
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CGAL_TRACE("End of pca_estimate_normals()\n");
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CGAL_TRACE_STREAM << (memory >> 20) << " Mb allocated\n";
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CGAL_TRACE_STREAM << "End of pca_estimate_normals()\n";
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}
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}
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/// \cond SKIP_IN_MANUAL
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/// \cond SKIP_IN_MANUAL
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SparseLinearAlgebraTraits_d solver, ///< sparse linear solver
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SparseLinearAlgebraTraits_d solver, ///< sparse linear solver
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double lambda)
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double lambda)
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{
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{
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CGAL_TRACE("Calls solve_poisson()\n");
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CGAL_TRACE_STREAM << "Calls solve_poisson()\n";
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double time_init = clock();
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double time_init = clock();
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@ -786,7 +786,7 @@ private:
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m_tr->index_unconstrained_vertices();
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m_tr->index_unconstrained_vertices();
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unsigned int nb_variables = static_cast<unsigned int>(m_tr->number_of_vertices()-1);
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unsigned int nb_variables = static_cast<unsigned int>(m_tr->number_of_vertices()-1);
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CGAL_TRACE(" Number of variables: %ld\n", (long)(nb_variables));
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CGAL_TRACE_STREAM << " Number of variables: " << nb_variables << std::endl;
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// Assemble linear system A*X=B
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// Assemble linear system A*X=B
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typename SparseLinearAlgebraTraits_d::Matrix A(nb_variables); // matrix is symmetric definite positive
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typename SparseLinearAlgebraTraits_d::Matrix A(nb_variables); // matrix is symmetric definite positive
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clear_duals();
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clear_duals();
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clear_normals();
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clear_normals();
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duration_assembly = (clock() - time_init)/CLOCKS_PER_SEC;
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duration_assembly = (clock() - time_init)/CLOCKS_PER_SEC;
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CGAL_TRACE(" Creates matrix: done (%.2lf s)\n", duration_assembly);
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CGAL_TRACE_STREAM << " Creates matrix: done (" << duration_assembly << "sec.)\n";
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CGAL_TRACE(" Solve sparse linear system...\n");
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CGAL_TRACE_STREAM << " Solve sparse linear system...\n";
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// Solve "A*X = B". On success, solution is (1/D) * X.
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// Solve "A*X = B". On success, solution is (1/D) * X.
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time_init = clock();
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time_init = clock();
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@ -827,7 +827,7 @@ private:
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CGAL_surface_reconstruction_points_assertion(D == 1.0);
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CGAL_surface_reconstruction_points_assertion(D == 1.0);
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duration_solve = (clock() - time_init)/CLOCKS_PER_SEC;
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duration_solve = (clock() - time_init)/CLOCKS_PER_SEC;
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CGAL_TRACE(" Solve sparse linear system: done (%.2lf s)\n", duration_solve);
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CGAL_TRACE_STREAM << " Solve sparse linear system: done (" << duration_solve << "sec.)\n";
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// copy function's values to vertices
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// copy function's values to vertices
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unsigned int index = 0;
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unsigned int index = 0;
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@ -835,7 +835,7 @@ private:
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if(!m_tr->is_constrained(v))
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if(!m_tr->is_constrained(v))
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v->f() = X[index++];
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v->f() = X[index++];
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CGAL_TRACE("End of solve_poisson()\n");
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CGAL_TRACE_STREAM << "End of solve_poisson()\n";
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return true;
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return true;
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}
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}
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@ -11,32 +11,13 @@
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#ifndef CGAL_IO_TRACE_H
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#ifndef CGAL_IO_TRACE_H
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#define CGAL_IO_TRACE_H
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#define CGAL_IO_TRACE_H
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#include <stdio.h>
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#include <stdarg.h>
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#include <iostream>
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#include <iostream>
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#include <fstream>
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/// \cond SKIP_IN_MANUAL
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/// \cond SKIP_IN_MANUAL
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// Trace utilities
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// Trace utilities
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// ---------------
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// ---------------
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// print_stderr() = printf-like function to print to stderr
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inline void CGAL_print_stderr(const char *fmt, ...)
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{
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va_list argp;
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va_start(argp, fmt);
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vfprintf_s(stderr, fmt, argp);
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va_end(argp);
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}
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// CGAL_TRACE() = printf-like function to print to stderr
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// if DEBUG_TRACE is defined (ignored otherwise)
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#ifdef DEBUG_TRACE
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#define CGAL_TRACE CGAL_print_stderr
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#else
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#define CGAL_TRACE if (false) CGAL_print_stderr
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#endif
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// CGAL_TRACE_STREAM = C++ stream that prints to std::cerr
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// CGAL_TRACE_STREAM = C++ stream that prints to std::cerr
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// if DEBUG_TRACE is defined (ignored otherwise)
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// if DEBUG_TRACE is defined (ignored otherwise)
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