test_RandomNumbers_Mseries_GaussianField.cpp

Go to the documentation of this file.

#include "test.h"

#include "randomNumbers_Mseries.h"

//====================================================================

namespace Test_RandomNumbers_Mseries {
  const std::string test_name = "RandomNumbers.Mseries.GaussianField";

  //- test-private parameters
  namespace {
    const std::string filename_input  = "test_RandomNumbers_Mseries_GaussianField.yaml";
    const std::string filename_output = "stdout";

    class Parameters_Test_RandomNumbers : public Parameters {
     public:
      Parameters_Test_RandomNumbers()
      {
        Register_int("seed", 0);

        Register_string("verbose_level", "NULL");

        Register_double("expected_result", 0.0);
      }
    };
  }

  //- prototype declaration
  int gaussian_field(void);

#ifdef USE_TESTMANAGER_AUTOREGISTER
  namespace {
    static const bool is_registered = TestManager::RegisterTest(
      test_name,
      gaussian_field
      );
  }
#endif

  //====================================================================
  int gaussian_field(void)
  {
    // ####  parameter setup  ####
    Parameters *params_test = new Parameters_Test_RandomNumbers;
    Parameters *params_all  = new Parameters;

    params_all->Register_Parameters("Test_RandomNumbers", params_test);

    ParameterManager_YAML params_manager;
    params_manager.read_params(filename_input, params_all);

    int          iseed      = params_test->get_int("seed");
    const string str_vlevel = params_test->get_string("verbose_level");

    const bool   do_check        = params_test->is_set("expected_result");
    const double expected_result = do_check ? params_test->get_double("expected_result") : 0.0;

    Bridge::VerboseLevel vl = vout.set_verbose_level(str_vlevel);

    //- print input parameters
    vout.general(vl, "  iseed  = %d\n", iseed);
    vout.general(vl, "  vlevel = %s\n", str_vlevel.c_str());
    vout.general(vl, "\n");


    // ####  object setup  ####
    RandomNumbers *rand  = new RandomNumbers_Mseries(iseed);
    Timer         *timer = new Timer(test_name);


    // ####  Execution main part  ####
    timer->start();

    int   Nin  = 29;
    int   Nvol = CommonParameters::Nvol();
    int   Nex  = 33;
    Field v(Nin, Nvol, Nex);

    double av = 0.0;
    double vr = 0.0;

    rand->gauss_lex_global(v);

    int size = v.size();
    for (int i = 0; i < size; ++i) {
      av += v.cmp(i);
      vr += v.cmp(i) * v.cmp(i);
      // vout.general(vl, "  %10.8f\n",v.cmp(i));
    }

    double av_all = Communicator::reduce_sum(av);
    double vr_all = Communicator::reduce_sum(vr);

    int global_size = CommonParameters::Lvol() * Nin * Nex;

    av = av_all / global_size;
    vr = vr_all / global_size - av * av;
    vr = sqrt(vr);

    vout.general(vl, "\n");
    vout.general(vl, "Gaussian distribution (Field):\n");
    vout.general(vl, "  number of samples = %10d\n", size);
    vout.general(vl, "  average           = %10.8f\n", av);
    vout.general(vl, "  variance          = %10.8f\n", vr);
    vout.general(vl, "  variance(expect)  = %10.8f\n", 1.0 / sqrt(2.0));

    double result = vr;

    timer->report();


    // ####  tidy up  ####
    delete params_test;
    delete params_all;

    delete timer;

    delete rand;


    if (do_check) {
      return Test::verify(expected_result, result);
    } else {
      vout.detailed(vl, "check skipped: expected_result not set.\n\n");
      return EXIT_SKIP;
    }
  }
} // namespace Test_RandomNumbers