//#include "sylib.h"
int m = 800;
int n = 800;
int data[800][800];
int corr[800][800];
int mean[800];
int stddev[800];

void kernel_correlation(int m, int n,
   int data[][800],
   int corr[][800],
   int mean[],
   int stddev[]) 
{
  int i, j, k;
  j = 0;
  while (j < m) {
    mean[j] = 0;
    i = 0;
    while (i < n) {
      mean[j] =mean[j] + data[i][j];
      i = i +1;
    }
    mean[j] = mean[j] / n;
    j = j + 1;
  }
  j = 0;
  while(j < m) {
      stddev[j] = 0;
      i= 0;
      while(i < n) {
        stddev[j] =stddev[j] + (data[i][j] - mean[j]) * (data[i][j] - mean[j]);
        i = i +1;
      }
      stddev[j] = stddev[j] / n;
      stddev[j] = stddev[j] * stddev[j];
      if (stddev[j] <= 1) {
        stddev[j] = 1;
      }
      j = j + 1;
    }
  i =0;
  while (i < n) {
    j = 0;
    while (j < m)
      {
        data[i][j] = data[i][j] - mean[j];
        data[i][j] = data[i][j] / (n * n * stddev[j]);
        j = j + 1;
      }
    i = i +1;
  }

  i = 0;
  while (i < m-1)
  {
      corr[i][i] = 1;
      j = i +1;
      while (j < m)
        {
          corr[i][j] = 0;
          k =0;
          while (k < n) {
            corr[i][j] = corr[i][j] + (data[k][i] * data[k][j]);
            k = k +1;
          }
          corr[j][i] = corr[i][j];
          j = j +1;
        }
    i = i +1;
  }
  corr[m-1][m-1] = 1;
}


int main() 
{
  getarray(data);
  starttime();
  kernel_correlation (m, n, data, corr, mean, stddev);
  stoptime();
  putarray(m*m, corr);
  return 0;

}