Zoltan2_AlgRandom.hpp

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#ifndef _ZOLTAN2_ALGRANDOM_HPP_
#define _ZOLTAN2_ALGRANDOM_HPP_

#include <Zoltan2_Algorithm.hpp>
#include <Zoltan2_IdentifierModel.hpp>
#include <Zoltan2_OrderingSolution.hpp>


namespace Zoltan2{


template <typename Adapter>
class AlgRandom : public Algorithm<Adapter>
{
  private:

  const RCP<IdentifierModel<Adapter> > model;
  const RCP<Teuchos::ParameterList> &pl;
  const RCP<Teuchos::Comm<int> > &comm;

  public:

  typedef typename Adapter::lno_t lno_t;
  typedef typename Adapter::zgid_t zgid_t;

  AlgRandom(
    const RCP<IdentifierModel<Adapter> > &model__,
    const RCP<Teuchos::ParameterList> &pl__,
    const RCP<Teuchos::Comm<int> > &comm__
  ) : model(model__), pl(pl__), comm(comm__)
  {
  }

  int order(const RCP<OrderingSolution<zgid_t, lno_t> > &solution)
  {
  
    int ierr= 0;
  
    HELLO;
  
    // This is the Fisher-Yates shuffle (aka Knuth shuffle).
    // References:
    //   R.A. Fisher, F. Yates, (1948) [1938], Statistical tables for biological, agricultural and medical research (3rd ed.).
    //   R. Durstenfeld, "Algorithm 235: Random permutation", CACM, vol. 7, 1964.
    //   D.E. Knuth, "The Art of Computer Programming", volume 2, 1969.
  
    // Start with the identity permutation.
    const size_t n = model->getLocalNumIdentifiers();
    lno_t *perm;
    perm = (lno_t *) (solution->getPermutationRCP().getRawPtr());
    if (perm){
      for (size_t i=0; i<n; i++){
        perm[i] = i;
      }
    }
    else
      // throw exception?
      ierr = -1;
  
    // Swap random pairs of indices in perm.
    lno_t j, temp;
    for (lno_t i=n-1; i>0; i--){
      // Choose j randomly in [0,i]
      j = rand() % (i+1);
      // Swap (perm[i], perm[j])
      temp = perm[i];
      perm[i] = perm[j];
      perm[j] = temp;
    }
  
    solution->setHavePerm(true);
    return ierr;
  
  }
  
};
}
#endif