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diff --git a/src/Cech_complex/test/test_cech_complex.cpp b/src/Cech_complex/test/test_cech_complex.cpp
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+/* This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT.
+ * See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details.
+ * Author(s): Vincent Rouvreau
+ *
+ * Copyright (C) 2018 Inria
+ *
+ * Modification(s):
+ * - YYYY/MM Author: Description of the modification
+ */
+
+#define BOOST_TEST_DYN_LINK
+#define BOOST_TEST_MODULE "cech_complex"
+#include <boost/test/unit_test.hpp>
+
+#include <cmath> // float comparison
+#include <limits>
+#include <string>
+#include <vector>
+#include <algorithm> // std::max
+
+#include <gudhi/Cech_complex.h>
+// to construct Cech_complex from a OFF file of points
+#include <gudhi/Points_off_io.h>
+#include <gudhi/Simplex_tree.h>
+#include <gudhi/distance_functions.h>
+#include <gudhi/Unitary_tests_utils.h>
+#include <gudhi/Miniball.hpp>
+
+// Type definitions
+using Simplex_tree = Gudhi::Simplex_tree<>;
+using Filtration_value = Simplex_tree::Filtration_value;
+using Point = std::vector<Filtration_value>;
+using Point_cloud = std::vector<Point>;
+using Points_off_reader = Gudhi::Points_off_reader<Point>;
+using Cech_complex = Gudhi::cech_complex::Cech_complex<Simplex_tree, Point_cloud>;
+
+using Point_iterator = Point_cloud::const_iterator;
+using Coordinate_iterator = Point::const_iterator;
+using Min_sphere = Gudhi::Miniball::Miniball<Gudhi::Miniball::CoordAccessor<Point_iterator, Coordinate_iterator>>;
+
+BOOST_AUTO_TEST_CASE(Cech_complex_for_documentation) {
+ // ----------------------------------------------------------------------------
+ //
+ // Init of a Cech complex from a point cloud
+ //
+ // ----------------------------------------------------------------------------
+ Point_cloud points;
+ points.push_back({1., 0.}); // 0
+ points.push_back({0., 1.}); // 1
+ points.push_back({2., 1.}); // 2
+ points.push_back({3., 2.}); // 3
+ points.push_back({0., 3.}); // 4
+ points.push_back({3. + std::sqrt(3.), 3.}); // 5
+ points.push_back({1., 4.}); // 6
+ points.push_back({3., 4.}); // 7
+ points.push_back({2., 4. + std::sqrt(3.)}); // 8
+ points.push_back({0., 4.}); // 9
+ points.push_back({-0.5, 2.}); // 10
+
+ Filtration_value max_radius = 1.0;
+ std::cout << "========== NUMBER OF POINTS = " << points.size() << " - Cech max_radius = " << max_radius
+ << "==========" << std::endl;
+
+ Cech_complex cech_complex_for_doc(points, max_radius);
+
+ GUDHI_TEST_FLOAT_EQUALITY_CHECK(cech_complex_for_doc.max_radius(), max_radius);
+ std::size_t i = 0;
+ for (; i < points.size(); i++) {
+ BOOST_CHECK(points[i] == cech_complex_for_doc.get_point(i));
+ }
+
+ const int DIMENSION_1 = 1;
+ Simplex_tree st;
+ cech_complex_for_doc.create_complex(st, DIMENSION_1);
+ std::cout << "st.dimension()=" << st.dimension() << std::endl;
+ BOOST_CHECK(st.dimension() == DIMENSION_1);
+
+ const int NUMBER_OF_VERTICES = 11;
+ std::cout << "st.num_vertices()=" << st.num_vertices() << std::endl;
+ BOOST_CHECK(st.num_vertices() == NUMBER_OF_VERTICES);
+
+ std::cout << "st.num_simplices()=" << st.num_simplices() << std::endl;
+ BOOST_CHECK(st.num_simplices() == 27);
+
+ // Check filtration values of vertices is 0.0
+ for (auto f_simplex : st.skeleton_simplex_range(0)) {
+ BOOST_CHECK(st.filtration(f_simplex) == 0.0);
+ }
+
+ // Check filtration values of edges
+ for (auto f_simplex : st.skeleton_simplex_range(DIMENSION_1)) {
+ if (DIMENSION_1 == st.dimension(f_simplex)) {
+ std::vector<Point> vp;
+ std::cout << "vertex = (";
+ for (auto vertex : st.simplex_vertex_range(f_simplex)) {
+ std::cout << vertex << ",";
+ vp.push_back(points.at(vertex));
+ }
+ std::cout << ") - distance =" << Gudhi::Minimal_enclosing_ball_radius()(vp.at(0), vp.at(1))
+ << " - filtration =" << st.filtration(f_simplex) << std::endl;
+ BOOST_CHECK(vp.size() == 2);
+ GUDHI_TEST_FLOAT_EQUALITY_CHECK(st.filtration(f_simplex),
+ Gudhi::Minimal_enclosing_ball_radius()(vp.at(0), vp.at(1)));
+ }
+ }
+
+ const int DIMENSION_2 = 2;
+
+#ifdef GUDHI_DEBUG
+ BOOST_CHECK_THROW(cech_complex_for_doc.create_complex(st, DIMENSION_2), std::invalid_argument);
+#endif
+
+ Simplex_tree st2;
+ cech_complex_for_doc.create_complex(st2, DIMENSION_2);
+ std::cout << "st2.dimension()=" << st2.dimension() << std::endl;
+ BOOST_CHECK(st2.dimension() == DIMENSION_2);
+
+ std::cout << "st2.num_vertices()=" << st2.num_vertices() << std::endl;
+ BOOST_CHECK(st2.num_vertices() == NUMBER_OF_VERTICES);
+
+ std::cout << "st2.num_simplices()=" << st2.num_simplices() << std::endl;
+ BOOST_CHECK(st2.num_simplices() == 30);
+
+ Point_cloud points012;
+ for (std::size_t vertex = 0; vertex <= 2; vertex++) {
+ points012.push_back(cech_complex_for_doc.get_point(vertex));
+ }
+ std::size_t dimension = points[0].end() - points[0].begin();
+ Min_sphere ms012(dimension, points012.begin(), points012.end());
+
+ Simplex_tree::Filtration_value f012 = st2.filtration(st2.find({0, 1, 2}));
+ std::cout << "f012= " << f012 << " | ms012_radius= " << std::sqrt(ms012.squared_radius()) << std::endl;
+
+ GUDHI_TEST_FLOAT_EQUALITY_CHECK(f012, std::sqrt(ms012.squared_radius()));
+
+ Point_cloud points1410;
+ points1410.push_back(cech_complex_for_doc.get_point(1));
+ points1410.push_back(cech_complex_for_doc.get_point(4));
+ points1410.push_back(cech_complex_for_doc.get_point(10));
+ Min_sphere ms1410(dimension, points1410.begin(), points1410.end());
+
+ Simplex_tree::Filtration_value f1410 = st2.filtration(st2.find({1, 4, 10}));
+ std::cout << "f1410= " << f1410 << " | ms1410_radius= " << std::sqrt(ms1410.squared_radius()) << std::endl;
+
+ GUDHI_TEST_FLOAT_EQUALITY_CHECK(f1410, std::sqrt(ms1410.squared_radius()));
+
+ Point_cloud points469;
+ points469.push_back(cech_complex_for_doc.get_point(4));
+ points469.push_back(cech_complex_for_doc.get_point(6));
+ points469.push_back(cech_complex_for_doc.get_point(9));
+ Min_sphere ms469(dimension, points469.begin(), points469.end());
+
+ Simplex_tree::Filtration_value f469 = st2.filtration(st2.find({4, 6, 9}));
+ std::cout << "f469= " << f469 << " | ms469_radius= " << std::sqrt(ms469.squared_radius()) << std::endl;
+
+ GUDHI_TEST_FLOAT_EQUALITY_CHECK(f469, std::sqrt(ms469.squared_radius()));
+
+ BOOST_CHECK((st2.find({6, 7, 8}) == st2.null_simplex()));
+ BOOST_CHECK((st2.find({3, 5, 7}) == st2.null_simplex()));
+}
+
+BOOST_AUTO_TEST_CASE(Cech_complex_from_points) {
+ // ----------------------------------------------------------------------------
+ // Init of a list of points
+ // ----------------------------------------------------------------------------
+ Point_cloud points;
+ std::vector<double> coords = {0.0, 0.0, 0.0, 1.0};
+ points.push_back(Point(coords.begin(), coords.end()));
+ coords = {0.0, 0.0, 1.0, 0.0};
+ points.push_back(Point(coords.begin(), coords.end()));
+ coords = {0.0, 1.0, 0.0, 0.0};
+ points.push_back(Point(coords.begin(), coords.end()));
+ coords = {1.0, 0.0, 0.0, 0.0};
+ points.push_back(Point(coords.begin(), coords.end()));
+
+ // ----------------------------------------------------------------------------
+ // Init of a Cech complex from the list of points
+ // ----------------------------------------------------------------------------
+ Cech_complex cech_complex_from_points(points, 2.0);
+
+ std::cout << "========== cech_complex_from_points ==========" << std::endl;
+ Simplex_tree st;
+ const int DIMENSION = 3;
+ cech_complex_from_points.create_complex(st, DIMENSION);
+
+ // Another way to check num_simplices
+ std::cout << "Iterator on Cech complex simplices in the filtration order, with [filtration value]:" << std::endl;
+ int num_simplices = 0;
+ for (auto f_simplex : st.filtration_simplex_range()) {
+ num_simplices++;
+ std::cout << " ( ";
+ for (auto vertex : st.simplex_vertex_range(f_simplex)) {
+ std::cout << vertex << " ";
+ }
+ std::cout << ") -> "
+ << "[" << st.filtration(f_simplex) << "] ";
+ std::cout << std::endl;
+ }
+ BOOST_CHECK(num_simplices == 15);
+ std::cout << "st.num_simplices()=" << st.num_simplices() << std::endl;
+ BOOST_CHECK(st.num_simplices() == 15);
+
+ std::cout << "st.dimension()=" << st.dimension() << std::endl;
+ BOOST_CHECK(st.dimension() == DIMENSION);
+ std::cout << "st.num_vertices()=" << st.num_vertices() << std::endl;
+ BOOST_CHECK(st.num_vertices() == 4);
+
+ for (auto f_simplex : st.filtration_simplex_range()) {
+ std::cout << "dimension(" << st.dimension(f_simplex) << ") - f = " << st.filtration(f_simplex) << std::endl;
+ switch (st.dimension(f_simplex)) {
+ case 0:
+ GUDHI_TEST_FLOAT_EQUALITY_CHECK(st.filtration(f_simplex), 0.0);
+ break;
+ case 1:
+ GUDHI_TEST_FLOAT_EQUALITY_CHECK(st.filtration(f_simplex), 0.707107, .00001);
+ break;
+ case 2:
+ GUDHI_TEST_FLOAT_EQUALITY_CHECK(st.filtration(f_simplex), 0.816497, .00001);
+ break;
+ case 3:
+ GUDHI_TEST_FLOAT_EQUALITY_CHECK(st.filtration(f_simplex), 0.866025, .00001);
+ break;
+ default:
+ BOOST_CHECK(false); // Shall not happen
+ break;
+ }
+ }
+}
+
+#ifdef GUDHI_DEBUG
+BOOST_AUTO_TEST_CASE(Cech_create_complex_throw) {
+ // ----------------------------------------------------------------------------
+ //
+ // Init of a Cech complex from a OFF file
+ //
+ // ----------------------------------------------------------------------------
+ std::string off_file_name("alphacomplexdoc.off");
+ double max_radius = 12.0;
+ std::cout << "========== OFF FILE NAME = " << off_file_name << " - Cech max_radius=" << max_radius
+ << "==========" << std::endl;
+
+ Gudhi::Points_off_reader<Point> off_reader(off_file_name);
+ Cech_complex cech_complex_from_file(off_reader.get_point_cloud(), max_radius);
+
+ Simplex_tree stree;
+ std::vector<int> simplex = {0, 1, 2};
+ stree.insert_simplex_and_subfaces(simplex);
+ std::cout << "Check exception throw in debug mode" << std::endl;
+ // throw excpt because stree is not empty
+ BOOST_CHECK_THROW(cech_complex_from_file.create_complex(stree, 1), std::invalid_argument);
+}
+#endif