mirror of https://github.com/CGAL/cgal
Port to g++ 4.3.1
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@ -319,12 +319,12 @@ int main(int argc, char * argv[])
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{
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{
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std::cerr << "Compare with original normals..." << std::endl;
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std::cerr << "Compare with original normals..." << std::endl;
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PointList::iterator p;
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/*std::deque<Orientable_normal>::iterator*/ n;
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double min_normal_deviation = DBL_MAX;
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double min_normal_deviation = DBL_MAX;
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double max_normal_deviation = DBL_MIN;
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double max_normal_deviation = DBL_MIN;
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double avg_normal_deviation = 0;
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double avg_normal_deviation = 0;
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int flipped_normals = 0;
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int flipped_normals = 0;
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PointList::iterator p;
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//std::deque<Orientable_normal>::iterator n;
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for (p = pwns.begin(), n = computed_normals.begin(); p != pwns.end(); p++, n++)
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for (p = pwns.begin(), n = computed_normals.begin(); p != pwns.end(); p++, n++)
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{
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{
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Vector v1 = p->normal(); // input normal
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Vector v1 = p->normal(); // input normal
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@ -367,7 +367,7 @@ int main(int argc, char * argv[])
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// Replace old normals by new ones
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// Replace old normals by new ones
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PointList::iterator p;
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PointList::iterator p;
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/*std::deque<Orientable_normal>::iterator*/ n;
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//std::deque<Orientable_normal>::iterator n;
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for (p = pwns.begin(), n = computed_normals.begin(); p != pwns.end(); p++, n++)
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for (p = pwns.begin(), n = computed_normals.begin(); p != pwns.end(); p++, n++)
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p->normal() = *n;
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p->normal() = *n;
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@ -19,6 +19,8 @@
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#ifndef CGAL_SURFACE_RECONSTRUCTION_OUTPUT_H
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#ifndef CGAL_SURFACE_RECONSTRUCTION_OUTPUT_H
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#define CGAL_SURFACE_RECONSTRUCTION_OUTPUT_H
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#define CGAL_SURFACE_RECONSTRUCTION_OUTPUT_H
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#include <CGAL/value_type_traits.h>
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CGAL_BEGIN_NAMESPACE
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CGAL_BEGIN_NAMESPACE
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@ -59,10 +59,10 @@ public:
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Taucs_solver(unsigned int size, ///< Number of rows = number of columns
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Taucs_solver(unsigned int size, ///< Number of rows = number of columns
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unsigned int nb_elements_per_line=0) ///< Number of non null elements per line
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unsigned int nb_elements_per_line=0) ///< Number of non null elements per line
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///< (ignored if 0).
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///< (ignored if 0).
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: n_rows(size),
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: PAP(0),
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PAP(0),
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L(0),
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L(0),
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SL(0),
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SL(0),
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n_rows(size),
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row_index(0),
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row_index(0),
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perm(0),
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perm(0),
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invperm(0),
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invperm(0),
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