pd_estimate.cpp

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/** @file pd_estimate.cpp
 *
 *  @author Cory Alexander Balaton (coryab)
 *  @author Janita Ovidie Sandtrøen Willumsen (janitaws)
 *
 *  @version 1.0
 *
 *  @brief execute the mcmc algorithm and write data to file after each
 *  Monte Carlo cycles.
 *
 *  @bug No known bugs
 * */
#include "data_type.hpp"
#include "monte_carlo.hpp"
#include "utils.hpp"
 
#include <getopt.h>
#include <omp.h>
#include <string>
 
/** @brief A function that displays how to use the program and quits.*/
void usage(std::string filename)
{
    std::cout << "Usage: " << filename
              << " <temperature> <lattice size> "
                 "<cycles> <burn-in-time> <output file>\n\n"
              << "\t[ -h | --help ]\n";
    exit(-1);
}
 
/** @brief The main function
 *
 *  */
int main(int argc, char **argv)
{
    // Command options
    struct option long_options[] = {{"help", 0, 0, 0}, {NULL, 0, NULL, 0}};
 
    int option_index = -1;
    int c;
 
    while (true) {
        c = getopt_long(argc, argv, "h", long_options, &option_index);
 
        if (c == -1)
            break;
 
        switch (c) {
        case 0:
            switch (option_index) {
            case 0: // Not a mistake. This just goes to the default.
            default:
                usage(argv[0]);
            }
            break;
        case 'h':
        default:
            usage(argv[0]);
        }
    }
    // Check that the number of arguments is at least 8.
    if (argc < 6) {
        usage(argv[0]);
    }
 
    // Timing variables
    double t0, t1;
    t0 = omp_get_wtime();
 
    // Define/initialize variables
    double temp = atoi(argv[1]);
    int L = atoi(argv[2]), cycles = atoi(argv[3]), burn_in_time = atoi(argv[4]);
    std::string outfile = argv[5];
 
    montecarlo::pd_estimate(temp, L, cycles, outfile, burn_in_time);
 
    t1 = omp_get_wtime();
 
    std::cout << "Time: " << t1 - t0 << " seconds\n";
}