From 4ef423a7a1140f1fe1a2ce1f1bbee03990638be1 Mon Sep 17 00:00:00 2001
From: cjamin <cjamin@636b058d-ea47-450e-bf9e-a15bfbe3eedb>
Date: Tue, 21 Jun 2016 15:16:13 +0000
Subject: Add spatial searching test

git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/subsampling_and_spatialsearching@1327 636b058d-ea47-450e-bf9e-a15bfbe3eedb

Former-commit-id: ec003d65063981af9c6fa0dce7324d1fa879d57a
---
 src/Spatial_searching/test/CMakeLists.txt          | 27 ++++++++
 .../test/test_Spatial_tree_data_structure.cpp      | 71 ++++++++++++++++++++++
 2 files changed, 98 insertions(+)
 create mode 100644 src/Spatial_searching/test/CMakeLists.txt
 create mode 100644 src/Spatial_searching/test/test_Spatial_tree_data_structure.cpp

(limited to 'src/Spatial_searching')

diff --git a/src/Spatial_searching/test/CMakeLists.txt b/src/Spatial_searching/test/CMakeLists.txt
new file mode 100644
index 00000000..297b6749
--- /dev/null
+++ b/src/Spatial_searching/test/CMakeLists.txt
@@ -0,0 +1,27 @@
+cmake_minimum_required(VERSION 2.6)
+project(Spatial_searching_tests)
+
+if (GCOVR_PATH)
+  # for gcovr to make coverage reports - Corbera Jenkins plugin
+  set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fprofile-arcs -ftest-coverage")
+endif()
+if (GPROF_PATH)
+  # for gprof to make coverage reports - Jenkins
+  set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -pg")
+endif()
+
+if(CGAL_FOUND)
+  find_package(Eigen3 3.1.0)
+  if (EIGEN3_FOUND)
+    message(STATUS "Eigen3 version: ${EIGEN3_VERSION}.")
+    include( ${EIGEN3_USE_FILE} )
+    include_directories (BEFORE "../../include")
+
+    add_executable( Spatial_searching_test_Spatial_tree_data_structure test_Spatial_tree_data_structure.cpp )
+    target_link_libraries(Spatial_searching_test_Spatial_tree_data_structure ${Boost_SYSTEM_LIBRARY} ${Boost_UNIT_TEST_FRAMEWORK_LIBRARY})
+  else()
+    message(WARNING "Eigen3 not found. Version 3.1.0 is required for the Spatial_searching tests.")
+  endif()
+else()
+  message(WARNING "CGAL not found. It is required for the Spatial_searching tests.")
+endif()
diff --git a/src/Spatial_searching/test/test_Spatial_tree_data_structure.cpp b/src/Spatial_searching/test/test_Spatial_tree_data_structure.cpp
new file mode 100644
index 00000000..e2bb1f87
--- /dev/null
+++ b/src/Spatial_searching/test/test_Spatial_tree_data_structure.cpp
@@ -0,0 +1,71 @@
+/*    This file is part of the Gudhi Library. The Gudhi library
+ *    (Geometric Understanding in Higher Dimensions) is a generic C++
+ *    library for computational topology.
+ *
+ *    Author(s):       Clement Jamin
+ *
+ *    Copyright (C) 2016  INRIA Sophia-Antipolis (France)
+ *
+ *    This program is free software: you can redistribute it and/or modify
+ *    it under the terms of the GNU General Public License as published by
+ *    the Free Software Foundation, either version 3 of the License, or
+ *    (at your option) any later version.
+ *
+ *    This program is distributed in the hope that it will be useful,
+ *    but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *    GNU General Public License for more details.
+ *
+ *    You should have received a copy of the GNU General Public License
+ *    along with this program.  If not, see <http://www.gnu.org/licenses/>.
+ */
+
+#define BOOST_TEST_DYN_LINK
+#define BOOST_TEST_MODULE Spatial_searching - test Spatial_tree_data_structure
+#include <boost/test/unit_test.hpp>
+
+#include <gudhi/Spatial_tree_data_structure.h>
+
+#include <CGAL/Epick_d.h>
+#include <CGAL/Random.h>
+
+#include <array>
+#include <vector>
+#include <iterator>
+
+BOOST_AUTO_TEST_CASE(test_Spatial_tree_data_structure)
+{
+  typedef CGAL::Epick_d<CGAL::Dimension_tag<4> >    K;
+  typedef K::FT                                     FT;
+  typedef K::Point_d                                Point_d;
+  typedef std::vector<Point_d>                      Point_container;
+
+  typedef Gudhi::spatial_searching::Spatial_tree_data_structure<
+    K, Point_container>                             Points_ds;
+  typedef typename Points_ds::KNS_range             KNS_range;
+  typedef typename Points_ds::KNS_iterator          KNS_iterator;
+  typedef typename Points_ds::INS_range             INS_range;
+  typedef typename Points_ds::INS_iterator          INS_iterator;
+  
+  CGAL::Random rd;
+
+  std::vector<Point_d> points;
+  for (int i = 0 ; i < 500 ; ++i)
+    points.push_back(Point_d(std::array<FT,4>({rd.get_double(-1.,1),rd.get_double(-1.,1),rd.get_double(-1.,1),rd.get_double(-1.,1)})));
+
+  Points_ds points_ds(points);
+
+  std::size_t closest_pt_index =
+    points_ds.query_ANN(points[10], 1, false).begin()->first;
+  BOOST_CHECK(closest_pt_index == 10);
+
+  KNS_range kns_range = points_ds.query_ANN(points[20], 10, true);
+
+  KNS_iterator nn_it = kns_range.begin();
+  FT last_dist = -1.;
+  for (auto const& nghb : kns_range)
+  {
+    BOOST_CHECK(nghb.second > last_dist);
+    last_dist = nghb.second;
+  }
+}
-- 
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