// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.

// This C++ file compiles to binary code that can be linked to by your C program,
// thanks to the extern "C" syntax used in the declarations in binary_library.h.

#include "binary_library.h"

#include <Eigen/Core>

using namespace Eigen;

/************************* pointer conversion methods **********************************************/

////// class MatrixXd //////

inline MatrixXd &c_to_eigen(C_MatrixXd *ptr) { return *reinterpret_cast<MatrixXd *>(ptr); }

inline const MatrixXd &c_to_eigen(const C_MatrixXd *ptr) { return *reinterpret_cast<const MatrixXd *>(ptr); }

inline C_MatrixXd *eigen_to_c(MatrixXd &ref) { return reinterpret_cast<C_MatrixXd *>(&ref); }

inline const C_MatrixXd *eigen_to_c(const MatrixXd &ref) { return reinterpret_cast<const C_MatrixXd *>(&ref); }

////// class Map<MatrixXd> //////

inline Map<MatrixXd> &c_to_eigen(C_Map_MatrixXd *ptr) { return *reinterpret_cast<Map<MatrixXd> *>(ptr); }

inline const Map<MatrixXd> &c_to_eigen(const C_Map_MatrixXd *ptr) {
  return *reinterpret_cast<const Map<MatrixXd> *>(ptr);
}

inline C_Map_MatrixXd *eigen_to_c(Map<MatrixXd> &ref) { return reinterpret_cast<C_Map_MatrixXd *>(&ref); }

inline const C_Map_MatrixXd *eigen_to_c(const Map<MatrixXd> &ref) {
  return reinterpret_cast<const C_Map_MatrixXd *>(&ref);
}

/************************* implementation of classes **********************************************/

////// class MatrixXd //////

C_MatrixXd *MatrixXd_new(int rows, int cols) { return eigen_to_c(*new MatrixXd(rows, cols)); }

void MatrixXd_delete(C_MatrixXd *m) { delete &c_to_eigen(m); }

double *MatrixXd_data(C_MatrixXd *m) { return c_to_eigen(m).data(); }

void MatrixXd_set_zero(C_MatrixXd *m) { c_to_eigen(m).setZero(); }

void MatrixXd_resize(C_MatrixXd *m, int rows, int cols) { c_to_eigen(m).resize(rows, cols); }

void MatrixXd_copy(C_MatrixXd *dst, const C_MatrixXd *src) { c_to_eigen(dst) = c_to_eigen(src); }

void MatrixXd_copy_map(C_MatrixXd *dst, const C_Map_MatrixXd *src) { c_to_eigen(dst) = c_to_eigen(src); }

void MatrixXd_set_coeff(C_MatrixXd *m, int i, int j, double coeff) { c_to_eigen(m)(i, j) = coeff; }

double MatrixXd_get_coeff(const C_MatrixXd *m, int i, int j) { return c_to_eigen(m)(i, j); }

void MatrixXd_print(const C_MatrixXd *m) { std::cout << c_to_eigen(m) << std::endl; }

void MatrixXd_multiply(const C_MatrixXd *m1, const C_MatrixXd *m2, C_MatrixXd *result) {
  c_to_eigen(result) = c_to_eigen(m1) * c_to_eigen(m2);
}

void MatrixXd_add(const C_MatrixXd *m1, const C_MatrixXd *m2, C_MatrixXd *result) {
  c_to_eigen(result) = c_to_eigen(m1) + c_to_eigen(m2);
}

////// class Map_MatrixXd //////

C_Map_MatrixXd *Map_MatrixXd_new(double *array, int rows, int cols) {
  return eigen_to_c(*new Map<MatrixXd>(array, rows, cols));
}

void Map_MatrixXd_delete(C_Map_MatrixXd *m) { delete &c_to_eigen(m); }

void Map_MatrixXd_set_zero(C_Map_MatrixXd *m) { c_to_eigen(m).setZero(); }

void Map_MatrixXd_copy(C_Map_MatrixXd *dst, const C_Map_MatrixXd *src) { c_to_eigen(dst) = c_to_eigen(src); }

void Map_MatrixXd_copy_matrix(C_Map_MatrixXd *dst, const C_MatrixXd *src) { c_to_eigen(dst) = c_to_eigen(src); }

void Map_MatrixXd_set_coeff(C_Map_MatrixXd *m, int i, int j, double coeff) { c_to_eigen(m)(i, j) = coeff; }

double Map_MatrixXd_get_coeff(const C_Map_MatrixXd *m, int i, int j) { return c_to_eigen(m)(i, j); }

void Map_MatrixXd_print(const C_Map_MatrixXd *m) { std::cout << c_to_eigen(m) << std::endl; }

void Map_MatrixXd_multiply(const C_Map_MatrixXd *m1, const C_Map_MatrixXd *m2, C_Map_MatrixXd *result) {
  c_to_eigen(result) = c_to_eigen(m1) * c_to_eigen(m2);
}

void Map_MatrixXd_add(const C_Map_MatrixXd *m1, const C_Map_MatrixXd *m2, C_Map_MatrixXd *result) {
  c_to_eigen(result) = c_to_eigen(m1) + c_to_eigen(m2);
}