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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): Pawel Dlotko
- *
- * Copyright (C) 2016 Inria
- *
- * 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/>.
- */
-
-#ifndef CONCEPT_TOPOLOGICAL_DATA_WITH_DISTANCES_H_
-#define CONCEPT_TOPOLOGICAL_DATA_WITH_DISTANCES_H_
-
-namespace Gudhi {
-
-namespace Persistence_representations {
-
-/** \brief The concept Topological_data_with_distances describes the requirements
- * for a type to implement a container that allows computations of distance to another contained of that type.
- * \details
- * The second parameter of the distance function allow to declare power of a distance. The exact meaning of that
- * number will be different for different distances. A few examples are given below:
- * In case of p-Wasserstein distance, the power is equal to p. power = std::limit<double>::max() for bottleneck
- * distance.
- *
- * In case of L^p landscape distance, the power is equal to p. s
- */
-class Topological_data_with_distances {
- public:
- double distance(const Topological_data_with_distances& second, double power = 1);
-};
-
-} // namespace Persistence_representations
-
-} // namespace Gudhi
-
-#endif // CONCEPT_TOPOLOGICAL_DATA_WITH_DISTANCES_H_