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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): Siargey Kachanovich
+ *
+ * Copyright (C) 2019 Inria
+ *
+ * Modification(s):
+ * - YYYY/MM Author: Description of the modification
+ */
+
+#ifndef FUNCTIONS_CARTESIAN_PRODUCT_H_
+#define FUNCTIONS_CARTESIAN_PRODUCT_H_
+
+#include <cstdlib>
+#include <tuple>
+#include <type_traits> // for std::enable_if
+#include <cstdlib> // for std::size_t
+
+#include <Eigen/Dense>
+
+namespace Gudhi {
+
+namespace coxeter_triangulation {
+
+/* Get the domain dimension of the tuple of functions.
+ */
+template <std::size_t I = 0, typename... T>
+inline typename std::enable_if<I == sizeof...(T), std::size_t>::type get_amb_d(const std::tuple<T...>& tuple) {
+ return 0;
+}
+
+template <std::size_t I = 0, typename... T>
+inline typename std::enable_if<I != sizeof...(T), std::size_t>::type get_amb_d(const std::tuple<T...>& tuple) {
+ return std::get<I>(tuple).amb_d() + get_amb_d<I + 1, T...>(tuple);
+}
+
+/* Get the codomain dimension of the tuple of functions.
+ */
+template <std::size_t I = 0, typename... T>
+inline typename std::enable_if<I == sizeof...(T), std::size_t>::type get_cod_d(const std::tuple<T...>& tuple) {
+ return 0;
+}
+
+template <std::size_t I = 0, typename... T>
+inline typename std::enable_if<I != sizeof...(T), std::size_t>::type get_cod_d(const std::tuple<T...>& tuple) {
+ return std::get<I>(tuple).cod_d() + get_cod_d<I + 1, T...>(tuple);
+}
+
+/* Get the seed of the tuple of functions.
+ */
+template <std::size_t I = 0, typename... T>
+inline typename std::enable_if<I == sizeof...(T), void>::type get_seed(const std::tuple<T...>& tuple,
+ Eigen::VectorXd& point, std::size_t i = 0) {}
+
+template <std::size_t I = 0, typename... T>
+inline typename std::enable_if<I != sizeof...(T), void>::type get_seed(const std::tuple<T...>& tuple,
+ Eigen::VectorXd& point, std::size_t i = 0) {
+ const auto& f = std::get<I>(tuple);
+ std::size_t n = f.amb_d();
+ Eigen::VectorXd seed = f.seed();
+ for (std::size_t j = 0; j < n; ++j) point(i + j) = seed(j);
+ get_seed<I + 1, T...>(tuple, point, i + n);
+}
+
+/* Get the seed of the tuple of functions.
+ */
+template <std::size_t I = 0, typename... T>
+inline typename std::enable_if<I == sizeof...(T), void>::type get_value(const std::tuple<T...>& tuple,
+ const Eigen::VectorXd& x,
+ Eigen::VectorXd& point, std::size_t i = 0,
+ std::size_t j = 0) {}
+
+template <std::size_t I = 0, typename... T>
+inline typename std::enable_if<I != sizeof...(T), void>::type get_value(const std::tuple<T...>& tuple,
+ const Eigen::VectorXd& x,
+ Eigen::VectorXd& point, std::size_t i = 0,
+ std::size_t j = 0) {
+ const auto& f = std::get<I>(tuple);
+ std::size_t n = f.amb_d();
+ std::size_t k = f.cod_d();
+ Eigen::VectorXd x_i(n);
+ for (std::size_t l = 0; l < n; ++l) x_i(l) = x(i + l);
+ Eigen::VectorXd res = f(x_i);
+ for (std::size_t l = 0; l < k; ++l) point(j + l) = res(l);
+ get_value<I + 1, T...>(tuple, x, point, i + n, j + k);
+}
+
+/**
+ * \class Cartesian_product
+ * \brief Constructs the function the zero-set of which is the Cartesian product
+ * of the zero-sets of some given functions.
+ *
+ * \tparam Functions A pack template parameter for functions. All functions should be models of
+ * the concept FunctionForImplicitManifold.
+ */
+template <class... Functions>
+struct Cartesian_product {
+ /**
+ * \brief Value of the function at a specified point.
+ * @param[in] p The input point. The dimension needs to coincide with the ambient dimension.
+ */
+ Eigen::VectorXd operator()(const Eigen::VectorXd& p) const {
+ Eigen::VectorXd result(cod_d_);
+ get_value(function_tuple_, p, result, 0, 0);
+ return result;
+ }
+
+ /** \brief Returns the domain (ambient) dimension. */
+ std::size_t amb_d() const { return amb_d_; }
+
+ /** \brief Returns the codomain dimension. */
+ std::size_t cod_d() const { return cod_d_; }
+
+ /** \brief Returns a point on the zero-set. */
+ Eigen::VectorXd seed() const {
+ Eigen::VectorXd result(amb_d_);
+ get_seed(function_tuple_, result, 0);
+ return result;
+ }
+
+ /**
+ * \brief Constructor of the Cartesian product function.
+ *
+ * @param[in] functions The functions the zero-sets of which are factors in the
+ * Cartesian product of the resulting function.
+ */
+ Cartesian_product(const Functions&... functions) : function_tuple_(std::make_tuple(functions...)) {
+ amb_d_ = get_amb_d(function_tuple_);
+ cod_d_ = get_cod_d(function_tuple_);
+ }
+
+ private:
+ std::tuple<Functions...> function_tuple_;
+ std::size_t amb_d_, cod_d_;
+};
+
+/**
+ * \brief Static constructor of a Cartesian product function.
+ *
+ * @param[in] functions The functions the zero-sets of which are factors in the
+ * Cartesian product of the resulting function.
+ *
+ * \tparam Functions A pack template parameter for functions. All functions should be models of
+ * the concept FunctionForImplicitManifold.
+ *
+ * \ingroup coxeter_triangulation
+ */
+template <typename... Functions>
+Cartesian_product<Functions...> make_product_function(const Functions&... functions) {
+ return Cartesian_product<Functions...>(functions...);
+}
+
+} // namespace coxeter_triangulation
+
+} // namespace Gudhi
+
+#endif