/* SPDX-FileCopyrightText: 2000 `Bruno Levy <levy@loria.fr>`
 *
 * SPDX-License-Identifier: GPL-2.0-or-later
 *
 * The Original Code is:
 * - GXML/Graphite: Geometry and Graphics Programming Library + Utilities.
 */

/** \file
 * \ingroup freestyle
 */

#include "matrix_util.h"

#include "BLI_math_base.h"
#include "BLI_utildefines.h"

namespace Freestyle::OGF::MatrixUtil {

static const double EPS = 0.00001;
static int MAX_ITER = 100;

void semi_definite_symmetric_eigen(const double *mat, int n, double *eigen_vec, double *eigen_val)
{
  double *a, *v;
  double a_norm, a_normEPS, thr, thr_nn;
  int nb_iter = 0;
  int jj;
  int i, j, k, ij, ik, l, m, lm, mq, lq, ll, mm, imv, im, iq, ilv, il, nn;
  int *index;
  double a_ij, a_lm, a_ll, a_mm, a_im, a_il;
  double a_lm_2;
  double v_ilv, v_imv;
  double x;
  double sinx, sinx_2, cosx, cosx_2, sincos;
  double delta;

  // Number of entries in mat
  nn = (n * (n + 1)) / 2;

  // Step 1: Copy mat to a
  a = new double[nn];

  for (ij = 0; ij < nn; ij++) {
    a[ij] = mat[ij];
  }

  // Ugly Fortran-porting trick: indices for a are between 1 and n
  a--;

  // Step 2 : Init diagonalization matrix as the unit matrix
  v = new double[n * n];

  ij = 0;
  for (i = 0; i < n; i++) {
    for (j = 0; j < n; j++) {
      if (i == j) {
        v[ij++] = 1.0;
      }
      else {
        v[ij++] = 0.0;
      }
    }
  }

  // Ugly Fortran-porting trick: indices for v are between 1 and n
  v--;

  // Step 3 : compute the weight of the non diagonal terms
  ij = 1;
  a_norm = 0.0;
  for (i = 1; i <= n; i++) {
    for (j = 1; j <= i; j++) {
      if (i != j) {
        a_ij = a[ij];
        a_norm += a_ij * a_ij;
      }
      ij++;
    }
  }

  if (a_norm != 0.0) {
    a_normEPS = a_norm * EPS;
    thr = a_norm;

    // Step 4 : rotations
    while (thr > a_normEPS && nb_iter < MAX_ITER) {
      nb_iter++;
      thr_nn = thr / nn;

      for (l = 1; l < n; l++) {
        for (m = l + 1; m <= n; m++) {
          // compute sinx and cosx
          lq = (l * l - l) / 2;
          mq = (m * m - m) / 2;

          lm = l + mq;
          a_lm = a[lm];
          a_lm_2 = a_lm * a_lm;

          if (a_lm_2 < thr_nn) {
            continue;
          }

          ll = l + lq;
          mm = m + mq;
          a_ll = a[ll];
          a_mm = a[mm];

          delta = a_ll - a_mm;

          if (delta == 0.0) {
            x = -M_PI_4;
          }
          else {
            x = -atan((a_lm + a_lm) / delta) / 2.0;
          }

          sinx = sin(x);
          cosx = cos(x);
          sinx_2 = sinx * sinx;
          cosx_2 = cosx * cosx;
          sincos = sinx * cosx;

          // rotate L and M columns
          ilv = n * (l - 1);
          imv = n * (m - 1);

          for (i = 1; i <= n; i++) {
            if (!ELEM(i, l, m)) {
              iq = (i * i - i) / 2;

              if (i < m) {
                im = i + mq;
              }
              else {
                im = m + iq;
              }
              a_im = a[im];

              if (i < l) {
                il = i + lq;
              }
              else {
                il = l + iq;
              }
              a_il = a[il];

              a[il] = a_il * cosx - a_im * sinx;
              a[im] = a_il * sinx + a_im * cosx;
            }

            ilv++;
            imv++;

            v_ilv = v[ilv];
            v_imv = v[imv];

            v[ilv] = cosx * v_ilv - sinx * v_imv;
            v[imv] = sinx * v_ilv + cosx * v_imv;
          }

          x = a_lm * sincos;
          x += x;

          a[ll] = a_ll * cosx_2 + a_mm * sinx_2 - x;
          a[mm] = a_ll * sinx_2 + a_mm * cosx_2 + x;
          a[lm] = 0.0;

          thr = fabs(thr - a_lm_2);
        }
      }
    }
  }

  // Step 5: index conversion and copy eigen values

  // back from Fortran to C++
  a++;

  for (i = 0; i < n; i++) {
    k = i + (i * (i + 1)) / 2;
    eigen_val[i] = a[k];
  }

  delete[] a;

  // Step 6: sort the eigen values and eigen vectors

  index = new int[n];
  for (i = 0; i < n; i++) {
    index[i] = i;
  }

  for (i = 0; i < (n - 1); i++) {
    x = eigen_val[i];
    k = i;

    for (j = i + 1; j < n; j++) {
      if (x < eigen_val[j]) {
        k = j;
        x = eigen_val[j];
      }
    }

    eigen_val[k] = eigen_val[i];
    eigen_val[i] = x;

    jj = index[k];
    index[k] = index[i];
    index[i] = jj;
  }

  // Step 7: save the eigen vectors

  // back from Fortran to C++
  v++;

  ij = 0;
  for (k = 0; k < n; k++) {
    ik = index[k] * n;
    for (i = 0; i < n; i++) {
      eigen_vec[ij++] = v[ik++];
    }
  }

  delete[] v;
  delete[] index;
}

//_________________________________________________________

}  // namespace Freestyle::OGF::MatrixUtil
