/* G01FB_T1W_F C++ Header Example Program.
 *
 * Copyright 2019 Numerical Algorithms Group.
 * Mark 27, 2019.
 */

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

int main(void)
{
  int exit_status = 0;

  cout << "G01FB_T1W_F C++ Header Example Program Results\n\n";
  // Skip heading in data file
  string mystr;
  getline (cin, mystr);

  // Read number of x values
  Integer n;
  cin >> n;

  // Create AD configuration data object
  Integer ifail = 0;
  void    *ad_handle = 0;
  x10aa_t1w_f_(ad_handle,ifail);

  cout << " Deviates and derivatives\n\n";
  cout << "  tail      p           df          x        dx/dp       dx/ddf\n";
  cout.setf(ios::scientific,ios::floatfield);
  cout.setf(ios::right);
  cout.precision(4);
    
  // Loop over x values
  for (Integer i = 0; i < n; ++i) {
    // Read next x and df
    double pr, dfr;
    cin >> pr >> dfr >> mystr;
    
    nagad_t1w_w_rtype x, df, p;
    p = pr;
    df = dfr;
    const char *tail = mystr.c_str();
    
    double inc = 1.0;
    nagad_t1w_inc_derivative(&p,inc);
    // Call NAG AD Routine
    ifail = 0;
    g01fb_t1w_f_(ad_handle,tail,p,df,x,ifail,1);
    double dpdx;
    dpdx = nagad_t1w_get_derivative(x);

    p = pr;
    df = dfr;
    nagad_t1w_inc_derivative(&df,inc);
    // Call NAG AD Routine
    ifail = 0;
    g01fb_t1w_f_(ad_handle,tail,p,df,x,ifail,1);
    double dpdf;
    dpdf = nagad_t1w_get_derivative(x);

    cout.width(5);  cout << tail;
    cout.width(12);  cout << nagad_t1w_get_value(p);
    cout.width(12);  cout << nagad_t1w_get_value(df);
    cout.width(12);  cout << nagad_t1w_get_value(x);
    cout.width(12);  cout << dpdx;
    cout.width(12);  cout << dpdf << endl;

  }

  // Remove computational data object
  ifail = 0;
  x10ab_t1w_f_(ad_handle,ifail);

  return exit_status;
}