#include "dco.hpp"
/* F07AJ_A1W_F C++ Header Example Program.
 *
 * Copyright 2021 Numerical Algorithms Group.
 * Mark 27.2, 2021.
 */

#include <iostream>
#include <nag.h>
#include <nagad.h>
#include <nagx04.h>
#include <stdio.h>
#include <string>
using namespace std;

int main(void)
{
  int     exit_status = 0;
  void *  ad_handle   = 0;
  Integer ifail       = 0;

  cout << "F07AJ_A1W_F C++ Header Example Program Results\n\n";
  // Skip heading in data file
  string mystr;
  getline(cin, mystr);

  // Read problem size and number of right-hand-sides
  Integer n;
  cin >> n;

  // Allocate arrays containing A and its factorized form, B
  // and the solution X.
  nagad_a1w_w_rtype *a = 0, *a_in = 0, *work = 0;
  double *           ar    = 0;
  Integer *          ipiv  = 0;
  Integer            lwork = 64 * n;
  if (!(a = NAG_ALLOC(n * n, nagad_a1w_w_rtype)) ||
      !(a_in = NAG_ALLOC(n * n, nagad_a1w_w_rtype)) ||
      !(work = NAG_ALLOC(lwork, nagad_a1w_w_rtype)) ||
      !(ipiv = NAG_ALLOC(n, Integer)) || !(ar = NAG_ALLOC(n * n, double)))
    {
      cout << "Allocation failure\n";
      exit_status = -1;
      goto END;
    }

  // Create AD tape
  dco::ga1s<double>::global_tape = dco::ga1s<double>::tape_t::create();

  // Read the lower triangular matrix A, register and copy
  double dd;
  for (int i = 0; i < n; ++i)
    {
      for (int j = 0; j < n; ++j)
        {
          cin >> dd;
          Integer k = i + j * n;
          a_in[k]   = dd;
          if (i == j)
            {
              dco::ga1s<double>::global_tape->register_variable(a_in[k]);
            }
          a[k] = a_in[k];
        }
    }

  // Print matrix A
  for (int i = 0; i < n; i++)
    {
      for (int j = 0; j < n; j++)
        {
          Integer k = i + j * n;
          ar[k]     = dco::value(a[k]);
        }
    }
  cout << endl;
  NagError fail;
  INIT_FAIL(fail);
  x04cac(Nag_ColMajor, Nag_GeneralMatrix, Nag_NonUnitDiag, n, n, ar, n, "  A",
         0, &fail);

  // Create AD configuration data object
  ifail = 0;
  nag::ad::x10aa(ad_handle, ifail);

  // Factorize the matrix A
  ifail = 0;
  nag::ad::f07ad(ad_handle, n, n, a, n, ipiv, ifail);

  // Invert A
  ifail = 0;
  nag::ad::f07aj(ad_handle, n, a, n, ipiv, work, lwork, ifail);

  // Print Inverse
  for (int i = 0; i < n; i++)
    {
      for (int j = 0; j < n; j++)
        {
          int k = i + j * n;
          ar[k] = dco::value(a[k]);
        }
    }
  cout << endl;
  // NagError  fail;
  INIT_FAIL(fail);
  x04cac(Nag_ColMajor, Nag_GeneralMatrix, Nag_NonUnitDiag, n, n, ar, n,
         "  Inverse", 0, &fail);

  cout << "\n\n Derivatives calculated: First order adjoints\n";
  cout << " Computational mode    : algorithmic\n";
  cout << "\n Derivatives of inverse diagonal w.r.t diagonal of A:\n";

  // Obtain derivatives
  for (int i = 0; i < n; i++)
    {

      // Reset adjoints, initialize derivative, and evaluate adjoint
      dco::ga1s<double>::global_tape->zero_adjoints();
      double  inc = 1.0;
      Integer k   = i * n + i;
      dco::derivative(a[k]) += inc;
      ifail                                              = 0;
      dco::ga1s<double>::global_tape->sparse_interpret() = true;
      dco::ga1s<double>::global_tape->interpret_adjoint();

      for (int j = 0; j < n; j++)
        {
          Integer k     = j + j * n;
          double  dd    = dco::derivative(a_in[k]);
          ar[i + j * n] = dd;
        }
    }
  // Print derivatives
  cout << endl;
  INIT_FAIL(fail);
  x04cac(Nag_ColMajor, Nag_GeneralMatrix, Nag_NonUnitDiag, n, n, ar, n,
         "           dai(i,i)/da(j,j)", 0, &fail);

END:
  // Remove computational data object and tape
  ifail = 0;
  nag::ad::x10ab(ad_handle, ifail);
  dco::ga1s<double>::tape_t::remove(dco::ga1s<double>::global_tape);

  return exit_status;
}