本文整理汇总了C++中ModelFactory::addModelToFactory方法的典型用法代码示例。如果您正苦于以下问题：C++ ModelFactory::addModelToFactory方法的具体用法？C++ ModelFactory::addModelToFactory怎么用？C++ ModelFactory::addModelToFactory使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类ModelFactory的用法示例。
在下文中一共展示了ModelFactory::addModelToFactory方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: main
int main(int argc, char** argv)
{
/* Necessary if MPI support is enabled during compilation. */
#ifdef _MPI
MPI_Init(&argc, &argv);
int rank;
MPI_Comm_rank(MPI_COMM_WORLD, &rank);
#else
/* In our MPI implementation the process with rank 0 is the master. */
int rank = 0;
#endif
try {
if(argc != 3){
/* Print usage and exit. */
if (rank == 0) std::cout << "\nusage: " << argv[0] << " ModelConf.conf MonteCarlo.conf\n" << std::endl;
return EXIT_SUCCESS;
}
/* Define the model configuration file. */
/* Here it is passed as the first argument to the executable. The */
/* model configuration file provides the values with errors for the */
/* mandatory model parameters, as well as the list of observables, */
/* observables2D, correlated Gaussian observables. */
/* See documentation for details. */
std::string ModelConf = argv[1];
/* Define the Monte Carlo configuration file. */
/* Here it is passed as the second argument to the executable. The */
/* Monte Carlo configuration file provides the parameters used in the */
/* Monte Carlo run. See documentation for details. */
std::string MCMCConf = argv[2];
/* Define the ROOT output file (w/o extension, empty string will set it to MCout) */
std::string FileOut = "";
/* Define the optional job tag. */
std::string JobTag = "";
/* Create objects of the classes ModelFactory and ThObsFactory */
ThObsFactory ThObsF;
ModelFactory ModelF;
myModel my_model;
/* register user-defined model named ModelName defined in class ModelClass using the following syntax: */
ModelF.addModelToFactory("myModel", boost::factory<myModel*>() );
/* register user-defined ThObservable named ThObsName defined in class ThObsClass using the following syntax: */
ThObsF.addObsToFactory("BIN1", boost::bind(boost::factory<yield*>(), _1, 1) );
ThObsF.addObsToFactory("BIN2", boost::bind(boost::factory<yield*>(), _1, 2) );
ThObsF.addObsToFactory("BIN3", boost::bind(boost::factory<yield*>(), _1, 3) );
ThObsF.addObsToFactory("BIN4", boost::bind(boost::factory<yield*>(), _1, 4) );
ThObsF.addObsToFactory("BIN5", boost::bind(boost::factory<yield*>(), _1, 5) );
ThObsF.addObsToFactory("BIN6", boost::bind(boost::factory<yield*>(), _1, 6) );
ThObsF.addObsToFactory("C_3", boost::factory<C_3*>() );
ThObsF.addObsToFactory("C_4", boost::factory<C_4*>() );
/* Create an object of the class MonteCarlo. */
MonteCarlo MC(ModelF, ThObsF, ModelConf, MCMCConf, FileOut, JobTag);
/* Do a test run if you wish to see the values of the observables */
/* and the correlated Gaussian observables defined in the model */
/* configuration file computed with the central value of the mandatory */
/* parameters defined in the same file. */
// MC.TestRun(rank);
/* Initiate the Mote Carlo run. */
MC.Run(rank);
/* Necessary if MPI support is enabled during compilation. */
#ifdef _MPI
MPI_Finalize();
#endif
return EXIT_SUCCESS;
} catch (const std::runtime_error& e) {
std::cerr << e.what() << std::endl;
return EXIT_FAILURE;
}
}