PartitioningSolution.cpp

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// @HEADER
// *****************************************************************************
//   Zoltan2: A package of combinatorial algorithms for scientific computing
//
// Copyright 2012 NTESS and the Zoltan2 contributors.
// SPDX-License-Identifier: BSD-3-Clause
// *****************************************************************************
// @HEADER
 
//
// Test the PartitioningSolution class.
//
// Normally a Solution is created by a Problem.  
// We create a few Solutions in this unit test.
 
// TODO test ::convertSolutionToImportList
 
#include <Zoltan2_PartitioningSolution.hpp>
#include <Zoltan2_BasicIdentifierAdapter.hpp>
#include <Zoltan2_TestHelpers.hpp>
 
typedef Zoltan2::BasicUserTypes<zscalar_t, zlno_t, zgno_t> zzuser_t;
typedef Zoltan2::BasicIdentifierAdapter<zzuser_t> idInput_t;
typedef idInput_t::part_t zzpart_t;
 
using Teuchos::ArrayRCP;
using Teuchos::Array;
using Teuchos::RCP;
using Teuchos::rcp;
using Teuchos::arcp;
 
 
 
void makeArrays(int wdim, int *lens, zzpart_t **ids, zscalar_t **sizes,
  ArrayRCP<ArrayRCP<zzpart_t> > &idList, ArrayRCP<ArrayRCP<zscalar_t> > &sizeList)
{
  ArrayRCP<zzpart_t> *idArrays = new ArrayRCP<zzpart_t> [wdim];
  ArrayRCP<zscalar_t> *sizeArrays = new ArrayRCP<zscalar_t> [wdim];
 
  for (int w=0; w < wdim; w++){
    idArrays[w] = arcp(ids[w], 0, lens[w], false);
    sizeArrays[w] = arcp(sizes[w], 0, lens[w], false);
  }
 
  idList = arcp(idArrays, 0, wdim, true);
  sizeList = arcp(sizeArrays, 0, wdim, true);
}
 
int main(int narg, char *arg[])
{
  Tpetra::ScopeGuard tscope(&narg, &arg);
  Teuchos::RCP<const Teuchos::Comm<int> > comm = Tpetra::getDefaultComm();
 
  int nprocs = comm->getSize();
  int rank = comm->getRank();
  int fail=0, gfail=0;
  double epsilon = 10e-6;
 
  // Arrays to hold part Ids and part Sizes for each weight
 
  int numIdsPerProc = 10;
  int maxNumWeights = 3;
  int maxNumPartSizes = nprocs;
  int *lengths = new int [maxNumWeights];
  zzpart_t **idLists = new zzpart_t * [maxNumWeights];
  zscalar_t **sizeLists = new zscalar_t * [maxNumWeights];
 
  for (int w=0; w < maxNumWeights; w++){
    idLists[w] = new zzpart_t [maxNumPartSizes];
    sizeLists[w] = new zscalar_t [maxNumPartSizes];
  }
 
  // A default environment
  RCP<const Zoltan2::Environment> env = rcp(new Zoltan2::Environment(comm));
 
  // A simple identifier map.
 
  zgno_t *myGids = new zgno_t [numIdsPerProc];
  for (int i=0, x=rank*numIdsPerProc; i < numIdsPerProc; i++)
    myGids[i] = x++;
 
  // TEST:
  // One weight, one part per proc.
  // Some part sizes are 2 and some are 1.
 
  int numGlobalParts = nprocs;
  int nWeights = 1;
 
  ArrayRCP<ArrayRCP<zzpart_t> > ids;
  ArrayRCP<ArrayRCP<zscalar_t> > sizes;
 
  memset(lengths, 0, sizeof(int) * maxNumWeights);
 
  lengths[0] = 1;                    // We give a size for 1 part.
  idLists[0][0] = rank;              // The part is my part.
  sizeLists[0][0] = rank%2 + 1.0;    // The size is 1.0 or 2.0
 
  makeArrays(1, lengths, idLists, sizeLists, ids, sizes);
 
  // Normalized part size for every part, for checking later on
 
  zscalar_t *normalizedPartSizes = new zscalar_t [numGlobalParts];
  zscalar_t sumSizes=0;
  for (int i=0; i < numGlobalParts; i++){
    normalizedPartSizes[i] = 1.0;
    if (i % 2) normalizedPartSizes[i] = 2.0;
    sumSizes += normalizedPartSizes[i];
  }
  for (int i=0; i < numGlobalParts; i++)
    normalizedPartSizes[i] /= sumSizes;
 
  // Create a solution object with part size information, and check it.
 
  RCP<Zoltan2::PartitioningSolution<idInput_t> > solution;
 
  try{
    solution = rcp(new Zoltan2::PartitioningSolution<idInput_t>(
      env,                // application environment info
      comm,               // problem communicator
      nWeights,                  // number of weights
      ids.view(0,nWeights),      // part ids
      sizes.view(0,nWeights))); // part sizes
  }
  catch (std::exception &e){
    fail=1;
  }
 
  TEST_FAIL_AND_EXIT(*comm, fail==0, "constructor call 1", 1);
 
  // Test the Solution queries that are used by algorithms
 
  if (solution->getTargetGlobalNumberOfParts() != size_t(numGlobalParts))
    fail=2;
 
  if (!fail && solution->getLocalNumberOfParts() != 1)
    fail=3;
 
  if (!fail && !solution->oneToOnePartDistribution())
    fail=4;
 
  if (!fail && solution->getPartDistribution() != NULL)
    fail=5;
 
  if (!fail && solution->getProcDistribution() != NULL)
    fail=6;
      
  if (!fail && 
        ((nprocs>1 && solution->criteriaHasUniformPartSizes(0)) ||
         (nprocs==1 && !solution->criteriaHasUniformPartSizes(0))) )
    fail=8;
 
  if (!fail){
    for (int partId=0; !fail && partId < numGlobalParts; partId++){
      zscalar_t psize = solution->getCriteriaPartSize(0, partId);
 
      if ( psize < normalizedPartSizes[partId] - epsilon ||
           psize > normalizedPartSizes[partId] + epsilon )
        fail=9;
    }
  }
 
  delete [] normalizedPartSizes;
 
  gfail = globalFail(*comm, fail);
  if (gfail){
    printFailureCode(*comm, fail);   // exits after printing "FAIL"
  }
 
  // Test the Solution set method that is called by algorithms
 
  zzpart_t *partAssignments = new zzpart_t [numIdsPerProc];
  for (int i=0; i < numIdsPerProc; i++){
    partAssignments[i] = myGids[i] % numGlobalParts;  // round robin
  }
  ArrayRCP<zzpart_t> partList = arcp(partAssignments, 0, numIdsPerProc);
 
  try{
    solution->setParts(partList);
  }
  catch (std::exception &e){
    fail=10;
  }
 
  gfail = globalFail(*comm, fail);
  if (gfail){
    printFailureCode(*comm, fail);   // exits after printing "FAIL"
  }
 
  // Test the Solution get methods that may be called by users 
  // or migration functions.
 
  if (!fail){
    const zzpart_t *parts = solution->getPartListView();
    for (int i=0; !fail && i < numIdsPerProc; i++){
      if (parts[i] != zzpart_t(myGids[i] % numGlobalParts))
        fail = 13;
    }
  }
 
  gfail = globalFail(*comm, fail);
  if (gfail){
    printFailureCode(*comm, fail);   // exits after printing "FAIL"
  }
 
  if (rank==0)
    std::cout << "PASS" << std::endl;
  
  //  TODO:  
  // Create a solution object without part size information, and check it.
  // Test multiple weights.
  // Test multiple parts per process.
  // Specify a list of parts of size 0.  (The rest should be uniform.)
 
  delete [] lengths;
  for (int w=0; w < maxNumWeights; w++){
    delete [] idLists[w];
    delete [] sizeLists[w];
  }
  delete [] idLists;
  delete [] sizeLists;
  delete [] myGids;
}