git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/Nerve_GIC@2411 636b058d-ea47-450e-bf9e-a15bfbe3eedb

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diff --git a/src/Nerve_GIC/test/data/cloud b/src/Nerve_GIC/test/data/cloud
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diff --git a/src/Nerve_GIC/test/data/cover b/src/Nerve_GIC/test/data/cover
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diff --git a/src/Nerve_GIC/test/data/graph b/src/Nerve_GIC/test/data/graph
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diff --git a/src/Nerve_GIC/test/test.cpp b/src/Nerve_GIC/test/test.cpp
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+/*    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):       Mathieu Carrière
+ *
+ *    Copyright (C) 2017  INRIA Saclay (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 "graph_induced_complex"
+
+#include <boost/test/unit_test.hpp>
+#include <cmath>  // float comparison
+#include <limits>
+#include <string>
+#include <vector>
+#include <algorithm>    // std::max
+#include <gudhi/GIC.h>
+#include <gudhi/distance_functions.h>
+#include <gudhi/reader_utils.h>
+
+bool are_almost_the_same(float a, float b) {
+  return std::fabs(a - b) < std::numeric_limits<float>::epsilon();
+}
+
+BOOST_AUTO_TEST_CASE(check_nerve) {
+
+  Gudhi::graph_induced_complex::Graph_induced_complex GIC;
+  std::string graph_file_name("data/graph"); GIC.set_graph_from_file(graph_file_name);
+  std::string cover_file_name("data/cover"); GIC.set_cover_from_file(cover_file_name);
+  std::string cloud_file_name("data/cloud"); GIC.set_color_from_file(cloud_file_name);
+  GIC.find_Nerve_simplices(); Simplex_tree stree; GIC.create_complex(stree);
+
+  BOOST_CHECK(stree.num_vertices() == 3);
+  BOOST_CHECK((stree.num_simplices()-stree.num_vertices()) == 0);
+  BOOST_CHECK(stree.dimension() == 0);
+}
+
+BOOST_AUTO_TEST_CASE(check_GICMAP) {
+
+  Gudhi::graph_induced_complex::Graph_induced_complex GIC; GIC.set_verbose(1);
+  std::string graph_file_name("data/graph"); GIC.set_graph_from_file(graph_file_name);
+  std::string cover_file_name("data/cover"); GIC.set_cover_from_file(cover_file_name);
+  std::string cloud_file_name("data/cloud"); GIC.set_color_from_file(cloud_file_name);
+  GIC.find_GICMAP_simplices_with_functional_minimal_cover(); Simplex_tree stree; GIC.create_complex(stree);
+
+  BOOST_CHECK(stree.num_vertices() == 3);
+  BOOST_CHECK((stree.num_simplices()-stree.num_vertices()) == 2);
+  BOOST_CHECK(stree.dimension() == 1);
+}
+
+BOOST_AUTO_TEST_CASE(check_GIC) {
+
+  Gudhi::graph_induced_complex::Graph_induced_complex GIC;
+  std::string graph_file_name("data/graph"); GIC.set_graph_from_file(graph_file_name);
+  std::string cover_file_name("data/cover"); GIC.set_cover_from_file(cover_file_name);
+  std::string cloud_file_name("data/cloud"); GIC.set_color_from_file(cloud_file_name);
+  GIC.find_GIC_simplices(); Simplex_tree stree; GIC.create_complex(stree);
+
+  BOOST_CHECK(stree.num_vertices() == 3);
+  BOOST_CHECK((stree.num_simplices()-stree.num_vertices()) == 4);
+  BOOST_CHECK(stree.dimension() == 2);
+}
+
+