Separate Minimal_enclosing_ball_radius class which uses CGAL from common distance_functions.h file

1 files changed, 0 insertions, 83 deletions

diff --git a/src/common/include/gudhi/distance_functions.h b/src/common/include/gudhi/distance_functions.h
index a8ee4a75..5e5a1e31 100644
--- a/src/common/include/gudhi/distance_functions.h
+++ b/src/common/include/gudhi/distance_functions.h
@@ -13,13 +13,9 @@
 
 #include <gudhi/Debug_utils.h>
 
-#include <gudhi/Miniball.hpp>
-
 #include <boost/range/metafunctions.hpp>
 #include <boost/range/size.hpp>
 
-#include <CGAL/Epeck_d.h>
-
 #include <cmath>  // for std::sqrt
 #include <type_traits>  // for std::decay
 #include <iterator>  // for std::begin, std::end
@@ -61,85 +57,6 @@ class Euclidean_distance {
   }
 };
 
-/** @brief Compute the radius of the minimal enclosing ball between Points given by a range of coordinates.
- * The points are assumed to have the same dimension. */
-class Minimal_enclosing_ball_radius {
- public:
-   /** \brief Enclosing ball radius from two points using CGAL.
-   *
-   * @param[in] point_1
-   * @param[in] point_2
-   * @return Enclosing ball radius for the two points.
-   * \tparam Point must be a Kernel::Point_d from CGAL.
-   *
-   */
-  template< typename Kernel = CGAL::Epeck_d<CGAL::Dynamic_dimension_tag>,
-            typename Point= typename Kernel::Point_d>
-  double operator()(const Point& point_1, const Point& point_2) const {
-    Kernel kernel_;
-    return std::sqrt(CGAL::to_double(kernel_.squared_distance_d_object()(point_1, point_2))) / 2.;
-  }
-
-  /** \brief Minimal_enclosing_ball_radius from two points.
-   *
-   * @param[in] point_1 First point.
-   * @param[in] point_2 second point.
-   * @return The minimal enclosing ball radius for the two points (aka. Euclidean distance / 2.).
-   *
-   * \tparam Point must be a range of Cartesian coordinates.
-   *
-   */
-  template< typename Point >
-  typename std::iterator_traits<typename boost::range_iterator<Point>::type>::value_type
-  operator()(const Point& point_1, const Point& point_2) const {
-    std::clog << "#" << *point_1.begin() << "##" << *point_2.begin() << std::endl;
-    return Euclidean_distance()(point_1, point_2) / 2.;
-  }
-
-  /** \brief Enclosing ball radius from a point cloud using CGAL.
-   *
-   * @param[in] point_cloud The points.
-   * @return Enclosing ball radius for the points.
-   * \tparam Point_cloud must be a range of Kernel::Point_d points from CGAL.
-   *
-   */
-  template< typename Kernel = CGAL::Epeck_d<CGAL::Dynamic_dimension_tag>,
-            typename Point= typename Kernel::Point_d,
-            typename Point_cloud = std::vector<Point>>
-  double operator()(const Point_cloud& point_cloud) const {
-    Kernel kernel_;
-    return std::sqrt(CGAL::to_double(kernel_.compute_squared_radius_d_object()(point_cloud.begin(), point_cloud.end())));
-  }
-
-  /** \brief Minimal_enclosing_ball_radius from a point cloud.
-   *
-   * @param[in] point_cloud The points.
-   * @return The minimal enclosing ball radius for the points.
-   *
-   * \tparam Point_cloud must be a range of points with Cartesian coordinates.
-   * Point_cloud is a range over a range of Coordinate.
-   *
-   */
-  template< typename Point_cloud,
-            typename Point_iterator = typename boost::range_const_iterator<Point_cloud>::type,
-            typename Point = typename std::iterator_traits<Point_iterator>::value_type,
-            typename Coordinate_iterator = typename boost::range_const_iterator<Point>::type,
-            typename Coordinate = typename std::iterator_traits<Coordinate_iterator>::value_type>
-  Coordinate
-  operator()(const Point_cloud& point_cloud) const {
-    using Min_sphere = Miniball::Miniball<Miniball::CoordAccessor<Point_iterator, Coordinate_iterator>>;
-
-    Min_sphere ms(boost::size(*point_cloud.begin()), point_cloud.begin(), point_cloud.end());
-#ifdef DEBUG_TRACES
-    std::clog << "Minimal_enclosing_ball_radius = " << std::sqrt(ms.squared_radius()) << " | nb points = "
-              << boost::size(point_cloud) << " | dimension = "
-              << boost::size(*point_cloud.begin()) << std::endl;
-#endif  // DEBUG_TRACES
-
-    return std::sqrt(ms.squared_radius());
-  }
-};
-
 }  // namespace Gudhi
 
 #endif  // DISTANCE_FUNCTIONS_H_