#include "inmost.h"

#if defined(_WIN32) || defined(_WIN64) || defined(WIN32) || defined(WIN64)
__declspec( dllexport ) void partitioner_stub(){} //to avoid LNK4221 warning
#endif

#if defined(USE_PARTITIONER)

#if defined(USE_PARTITIONER_ZOLTAN)
#include <zoltan.h>
#endif
#if defined(USE_PARTITIONER_METIS)
#define METIS_EXPORT
#include <metis.h>
#endif
#if defined(USE_PARTITIONER_PARMETIS)
#if !defined(USE_PARTITIONER_METIS)
#define METIS_EXPORT
#include <metis.h>
#endif
#include <parmetis.h>
#endif
#include <sstream>
#include <deque>
#define ZOLTAN_CHKERR(x) if( x != ZOLTAN_OK )  {throw ErrorInPartitioner;}


#if defined(USE_PARALLEL_WRITE_TIME)
#define REPORT_MPI(x) {m->WriteTab(m->GetStream()) << "<MPI><![CDATA[" << #x << "]]></MPI>" << std::endl; x;}
#define REPORT_STR(x) {m->WriteTab(m->GetStream()) << "<TEXT><![CDATA[" << x << "]]></TEXT>" << std::endl;}
#define REPORT_VAL(str,x) {m->WriteTab(m->GetStream()) << "<VALUE name=\"" << str << "\"> <CONTENT><![CDATA[" << x << "]]> </CONTENT><CODE><![CDATA[" << #x << "]]></CODE></VALUE>" << std::endl;}
#define ENTER_FUNC() long double all_time = Timer(); m->WriteTab(m->GetStream()) << "<FUNCTION name=\"" << __FUNCTION__ << "\" id=\"func" << m->GetFuncID()++ << "\">" << std::endl; m->Enter();
#define EXIT_FUNC() m->WriteTab(m->GetStream()) << "<TIME>" << Timer() - all_time << "</TIME>" << std::endl; m->Exit(); m->WriteTab(m->GetStream()) << "</FUNCTION>" << std::endl;
#else
#define REPORT_MPI(x) x
#define REPORT_STR(x) {}
#define REPORT_VAL(str,x) {}
#define ENTER_FUNC() {}
#define EXIT_FUNC() {}
#endif

namespace INMOST
{
#if defined(USE_PARTITIONER_ZOLTAN)
	static int get_number_of_objects(void *data, int *ierr)
	{
		Partitioner * p = static_cast<Partitioner *>(data);
		Mesh * m = p->GetMesh();
		*ierr = ZOLTAN_OK;
		int num = 0;
		for(Mesh::iteratorCell it = m->BeginCell(); it != m->EndCell(); it++)
			if( it->GetStatus() != Element::Ghost ) num++;
		return num;
	}
	
	static void get_object_list(void *data, int sizeGID, int sizeLID,
								ZOLTAN_ID_PTR globalID, ZOLTAN_ID_PTR localID,
								int wgt_dim, float *obj_wgts, int *ierr)
	{
		Partitioner * p = static_cast<Partitioner *>(data);
		Mesh * m = p->GetMesh();
		*ierr = ZOLTAN_OK;
		int i = 0;	 
		for(Mesh::iteratorCell it = m->BeginCell(); it != m->EndCell(); it++)
			if( it->GetStatus() != Element::Ghost )
			{
				globalID[i] = it->GlobalID();
				localID[i] = i;
				for(int j = 0; j < wgt_dim; j++)
					 obj_wgts[i] = static_cast<float>(it->RealArray(p->GetWeight())[j]);
				i++;
			}
	}
	
	static int get_num_geometry(void *data, int *ierr)
	{
		Partitioner * p = static_cast<Partitioner *>(data);
		Mesh * m = p->GetMesh();
		*ierr = ZOLTAN_OK;
		return m->GetDimensions();
	}
	
	static void get_geometry_list(void *data, int sizeGID, int sizeLID,
								  int num_obj,
								  ZOLTAN_ID_PTR globalID, ZOLTAN_ID_PTR localID,
								  int num_dim, double *geom_vec, int *ierr)
	{
		Partitioner * p = static_cast<Partitioner *>(data);
		Mesh * m = p->GetMesh();
		int dim = m->GetDimensions();
		if ( (sizeGID != 1) || (sizeLID != 1) || (num_dim != dim))
		{
			*ierr = ZOLTAN_FATAL;
			return;
		}
		
		*ierr = ZOLTAN_OK;
		
		
		int i = 0;
		std::vector<Storage::real> coords(dim);
		for(Mesh::iteratorCell it = m->BeginCell(); it != m->EndCell(); it++)
			if( it->GetStatus() != Element::Ghost )
			{
				it->Centroid(&coords[0]);
				for(int j = 0; j < dim; j++)
					geom_vec[dim*i + j] = coords[j];
				i++;
			}
		return;
	}
	
	static void get_num_edges_list(void *data, int sizeGID, int sizeLID,
								   int num_obj,
								   ZOLTAN_ID_PTR globalID, ZOLTAN_ID_PTR localID,
								   int *numEdges, int *ierr)
	{
		Partitioner * p = static_cast<Partitioner *>(data);
		Mesh * m = p->GetMesh();
		
		if ( (sizeGID != 1) || (sizeLID != 1))
		{
			*ierr = ZOLTAN_FATAL;
			return;
		}
		
		int i = 0;	
		for(Mesh::iteratorCell it = m->BeginCell(); it != m->EndCell(); it++)
			if( it->GetStatus() != Element::Ghost )
			{
				numEdges[i] = 0;
				ElementArray<Face> faces = it->getFaces();
				for(ElementArray<Face>::iterator jt = faces.begin(); jt != faces.end(); jt++)
				{
					Cell n = it->Neighbour(jt->self());
					if( n.isValid() ) numEdges[i]++;
				}		
				i++;
			}
		
		*ierr = ZOLTAN_OK;
		return;
	}
	
	static void get_edge_list(void *data, int sizeGID, int sizeLID,
							  int num_obj, ZOLTAN_ID_PTR globalID, ZOLTAN_ID_PTR localID,
							  int *num_edges,
							  ZOLTAN_ID_PTR nborGID, int *nborProc,
							  int wgt_dim, float *ewgts, int *ierr)
	{
		int *nextProc;
		float * nextWgt;
		ZOLTAN_ID_TYPE *nextNbor;
		
		Partitioner * p = static_cast<Partitioner *>(data);
		Mesh * m = p->GetMesh();
		*ierr = ZOLTAN_OK;
		
		if ( (sizeGID != 1) || (sizeLID != 1))
		{
			*ierr = ZOLTAN_FATAL;
			return;
		}
		
		nextNbor = nborGID;
		nextProc = nborProc;
		nextWgt = ewgts;
		
		int i = 0;
		for(Mesh::iteratorCell it = m->BeginCell(); it != m->EndCell(); it++)
			if( it->GetStatus() != Element::Ghost )
			{
				ElementArray<Face> faces = it->getFaces();
				for(ElementArray<Face>::iterator jt = faces.begin(); jt != faces.end(); jt++)
				{
					Cell n = it->Neighbour(jt->self());
					if( n.isValid() )
					{
						*nextNbor++ = n->GlobalID();
						*nextProc++ = n->Integer(m->OwnerTag());
						for(int j = 0; j < wgt_dim; j++)
							*nextWgt++ = static_cast<float>(jt->RealArray(p->GetWeight())[j]);
					}
				}		
				i++;
			}
		return;
	}
#endif
	
	Partitioner::Partitioner(Mesh * _m)
	{
		m = _m;
		if( m->GetMeshState() == Mesh::Serial ) m->ResolveShared();
		pzz = NULL;
	}
	
	Partitioner::Partitioner(const Partitioner & other)
	{
#if defined(USE_PARTITIONER_ZOLTAN)
		if( pt == Zoltan_Parmetis || pt == Zoltan_Scotch || pt == Zoltan_PHG || pt == Zoltan_RCB || pt == Zoltan_RIB || pt == Zoltan_HSFC )
		{
			if( other.pzz != NULL ) pzz = static_cast<void *>(Zoltan_Copy(static_cast<struct Zoltan_Struct *>(other.pzz)));
			else pzz = NULL;
		}
#endif
		m = other.m;
		weight_tag = other.weight_tag;
	}
	
	Partitioner & Partitioner::operator = (Partitioner const & other)
	{
#if defined(USE_PARTITIONER_ZOLTAN)
		if( pt == Zoltan_Parmetis || pt == Zoltan_Scotch || pt == Zoltan_PHG || pt == Zoltan_RCB || pt == Zoltan_RIB || pt == Zoltan_HSFC )
		{
			if( other.pzz != NULL ) 
			{
				if( pzz == NULL ) pzz = static_cast<void *>(Zoltan_Copy(static_cast<struct Zoltan_Struct *>(other.pzz)));
				else Zoltan_Copy_To(static_cast<struct Zoltan_Struct *>(pzz),static_cast<struct Zoltan_Struct *>(other.pzz));
			}
			else pzz = NULL;
		}
#endif
		m = other.m;
		weight_tag = other.weight_tag;
		return *this;
	}
	
	Partitioner::~Partitioner()
	{
#if defined(USE_PARTITIONER_ZOLTAN)
		if( pt == Zoltan_Parmetis || pt == Zoltan_Scotch || pt == Zoltan_PHG || pt == Zoltan_RCB || pt == Zoltan_RIB || pt == Zoltan_HSFC )
		{
			if( pzz != NULL )
			{
				struct Zoltan_Struct * zz = static_cast<struct Zoltan_Struct *>(pzz);
				Zoltan_Destroy(&zz);
				pzz = static_cast<void *>(zz);
			}
		}
#endif
	}
	
	void Partitioner::Initialize(int * argc, char *** argv)
	{
		(void) argc;
		(void) argv;
#if defined(USE_PARTITIONER_ZOLTAN)
		float ver;
		Zoltan_Initialize(*argc,*argv,&ver);
#endif
	}
	
	void Partitioner::Finalize()
	{
	}
	
	
	void Partitioner::Evaluate()
	{
		ENTER_FUNC();
		int package = 0;
		switch(pt)
		{
			case INNER_RCM:
				package = 0;
				break;
			case Zoltan_Parmetis:
			case Zoltan_PHG:
			case Zoltan_RIB:
			case Zoltan_RCB:
			case Zoltan_HSFC:
			case Zoltan_Scotch:
				package = 1;
				break;
			case Parmetis:
				package = 2;
				break;
			case INNER_KMEANS:
				package = 3;
			case MetisRec:
				package = 4;
				break;
			case MetisRecContig:
				package = 5;
			case MetisKway:
				package = 6;
				break;
			case MetisKwayContig:
				package = 7;
				break;
		}
		if( package == 0 )
		{
#if defined(USE_MPI)
			if( m->GetMeshState() == Mesh::Serial ) m->ResolveShared();
			
			unsigned mpisize = m->GetProcessorsNumber();
			
//~ #if defined(NDEBUG)
			//Check!!
			unsigned ncell = m->NumberOfCells();
			std::vector<unsigned> ncells(mpisize);
			REPORT_MPI(MPI_Allgather(&ncell,1,MPI_UNSIGNED,&ncells[0],1,MPI_UNSIGNED,m->GetCommunicator()));
			unsigned nhave = 0;
			for(unsigned k = 0; k < mpisize; k++) if( ncells[k] ) nhave++;
			if( nhave > 1 )
			{
				std::cout << "currently only non-distributed meshes are supported by reverse cuthill-mckee algorithm" << std::endl;
				throw NotImplemented;
			}
//~ #endf
			
			
			Tag index = m->CreateTag("CM_INDEX",DATA_INTEGER,CELL,NONE,1);
			Tag order = m->CreateTag("ORDER",DATA_INTEGER,CELL,NONE,1);
			
			
			for(Mesh::iteratorCell it = m->BeginCell(); it != m->EndCell(); ++it)
			{
				ElementArray<Face> f = it->getFaces();
				for(ElementArray<Face>::iterator jt = f.begin(); jt != f.end(); ++jt)
					if( !jt->Boundary() ) it->Integer(order)++;
			}
			
			Storage::integer visited = 1;
			Storage::integer chunk = m->NumberOfCells() / mpisize + 1;
			std::deque<HandleType> queue;
			ElementArray<Element> around(m);
			HandleType select;
			while(visited != static_cast<Storage::integer>(m->NumberOfCells()+1) )
			{
				select = InvalidHandle();
				Mesh::iteratorCell halt_it;
				for(Mesh::iteratorCell it = m->BeginCell(); it != m->EndCell(); ++it)
				{
					if( it->Integer(index) == 0 )
					{
						select = *it;
						halt_it = it;
						break;
					}
				}
				if( select == InvalidHandle() ) break;
				Storage::integer sorder = m->Integer(select,order);
				for(Mesh::iteratorCell it = halt_it; it != m->EndCell(); ++it)
				{
					if( it->Integer(index) == 0 )
					{
						Storage::integer norder = it->Integer(order);
						if( norder < sorder ) 
						{
							select = *it;
							sorder = norder;
						}
					}
				}
				queue.push_back(select);
				m->Integer(queue.back(),index) = visited++;
				while(!queue.empty())
				{
					around = Cell(m,queue.front())->BridgeAdjacencies(FACE,CELL);
					queue.pop_front();
					std::sort(around.data(),around.data()+around.size(),Mesh::IntegerComparator(m,order));
					for(ElementArray<Element>::iterator it = around.begin(); it != around.end(); ++it)
					{
						if( it->Integer(index) == 0 )
						{
							queue.push_back(*it);
							m->Integer(queue.back(),index) = visited++;

							if( visited % chunk == 0 ) 
							{
								queue.clear();
								break;
							}

						}
					}
					//this may not fire properly
					//if( visited % chunk == 0 ) queue.clear();
				}
			}
			m->DeleteTag(order);
			//index may be used
			
			//reverse
			//for(Mesh::iteratorCell it = m->BeginCell(); it != m->EndCell(); ++it)
			//	it->Integer(index) = m->NumberOfCells() - it->Integer(index);
				
			
			
			Tag redist = m->RedistributeTag();
			
			for(Mesh::iteratorCell it = m->BeginCell(); it != m->EndCell(); ++it)
			{
				it->Integer(redist) = it->Integer(index)/chunk;
				//~ std::cout << it->Integer(index) << " -> " <<  it->Integer(redist) << std::endl;
			}

			m->DeleteTag(index);
#else
			throw NotImplemented;
#endif
		}
		if( package == 1 )
		{
#if defined(USE_PARTITIONER_ZOLTAN)
			int changes, numGidEntries, numLidEntries, numImport, numExport;
			ZOLTAN_ID_PTR importGlobalGids, importLocalGids, exportGlobalGids, exportLocalGids;
			int *importProcs, *importToPart, *exportProcs, *exportToPart;
			int rc;
			if( m->Integer(m->GetHandle(),m->LayersTag()) == 0 ) m->ExchangeGhost(1,FACE);
			
			rc = Zoltan_LB_Partition(static_cast<struct Zoltan_Struct *>(pzz), /* input (all remaining fields are output) */
									 &changes,        /* 1 if partitioning was changed, 0 otherwise */ 
									 &numGidEntries,  /* Number of integers used for a global ID */
									 &numLidEntries,  /* Number of integers used for a local ID */
									 &numImport,      /* Number of vertices to be sent to me */
									 &importGlobalGids,  /* Global IDs of vertices to be sent to me */
									 &importLocalGids,   /* Local IDs of vertices to be sent to me */
									 &importProcs,    /* Process rank for source of each incoming vertex */
									 &importToPart,   /* New partition for each incoming vertex */
									 &numExport,      /* Number of vertices I must send to other processes*/
									 &exportGlobalGids,  /* Global IDs of the vertices I must send */
									 &exportLocalGids,   /* Local IDs of the vertices I must send */
									 &exportProcs,    /* Process to which I send each of the vertices */
									 &exportToPart);  /* Partition to which each vertex will belong */
			ZOLTAN_CHKERR(rc);		
			
			if( changes )
			{
				std::vector<int> new_distribution;
				for(Mesh::iteratorCell it = m->BeginCell(); it != m->EndCell(); it++)
					if( it->GetStatus() != Element::Ghost )
						new_distribution.push_back(it->Integer(m->OwnerTag()));	
				for(int i = 0; i < numExport; i++)
					new_distribution[exportLocalGids[i]] = exportToPart[i];
				
				Tag redist = m->RedistributeTag();
				int i = 0;
				for(Mesh::iteratorCell it = m->BeginCell(); it != m->EndCell(); it++)
					if( it->GetStatus() != Element::Ghost )
						it->Integer(redist) = new_distribution[i++];
			}
			Zoltan_LB_Free_Part(&importGlobalGids, &importLocalGids, 
								&importProcs, &importToPart);
			Zoltan_LB_Free_Part(&exportGlobalGids, &exportLocalGids, 
								&exportProcs, &exportToPart);
#endif
		}
		if( package == 2 || package == 4 || package == 5 || package == 6 || package == 7)
		{
#if defined(USE_PARTITIONER_PARMETIS) || defined(USE_PARTITIONER_METIS)
			INMOST_DATA_ENUM_TYPE dim = m->GetDimensions();
			double time;
			bool debug_output = false;
			bool time_output = false;
			int result;
			int rank = m->GetProcessorRank();
			int size = m->GetProcessorsNumber();
			int have_vwgt = 0, have_adjwgt = 0, have_mwgt = 0;
			int nreserve = 32;
			idx_t nparts;
			//Array storing parts indexes
			std::vector<unsigned int> xparts;
			//These arrays determine local sparse matrix
			std::vector<idx_t> vtxdist;
			std::vector<idx_t> xadj;
			std::vector<idx_t> adjncy;
			//These arrays determine weights defined for vertices
			std::vector<idx_t> vwgt; //unused yet
			std::vector<idx_t> adjwgt; //unused yet
			idx_t wgtflag = 0;
			idx_t numflag = 0;
			idx_t ndims = m->GetDimensions();
			std::vector<real_t> xyz;
			//This sets weight for every part set in respect to according weight and tolerance
			idx_t ncon = 1;
			std::vector<real_t> tpwgts;
			std::vector<real_t> ubvec;
			//set options
			std::vector<idx_t> options(3,0);
			//number of edgecuts
			idx_t edgecut;
			//output data - which entity should belong to which part
			std::vector<idx_t> part;
			real_t itr = 1000.0;
			//send data to processors with zero nodes
			std::vector<unsigned int> send;
			idx_t mysize;
			//to estimate memory used by entities
			std::vector<idx_t> vsize; //unused yet
			
			//compute part ranges for every processor
			//and total number of parts
			xparts.resize(size+1);
			xparts[0] = 0;
			
			for(unsigned int i = 1; i < xparts.size(); i++)
				xparts[i] = i;
				
			
			nparts = xparts[xparts.size()-1];
			
			
			//set graph size
			vtxdist.resize(size+1);
			
			


			//set options
			if( debug_output )
			{	
				options[0] = 1;
				options[1] = 1;
				options[2] = 15;
			}
			
			
			if( time_output ) time = Timer();
			//set ghost boundaries so we certanly know we can access adjacencies
			
			if( m->GetMeshState() != Mesh::Parallel )  
				m->ResolveShared();
			if( m->Integer(m->GetHandle(),m->LayersTag()) == 0 ) 
				m->ExchangeGhost(1,FACE);
			//~ if( !m->GlobalIDTag().isValid() || !m->GlobalIDTag().isDefined(CELL) )
				m->AssignGlobalID(CELL);
			

			
			
			if( time_output ) time = Timer();
			
			
			mysize = 0;
			for(Mesh::iteratorCell it = m->BeginCell(); it != m->EndCell(); ++it) if( it->GetStatus() != Element::Ghost ) mysize++;
			vtxdist[0] = 0;
			REPORT_MPI(result = MPI_Allgather(&mysize,1,IDX_T,&vtxdist[1],1,IDX_T,m->GetCommunicator()));
			if( result != MPI_SUCCESS ) throw Impossible;
			
#if defined(USE_PARTITIONER_METIS)
			if( package == 4 || package == 5 )
			{
				for(unsigned int i = 2; i < vtxdist.size(); i++)
					if( vtxdist[i] )
					{
						std::cout << "For METIS the entire mesh has to be on zero-th processor" << std::endl;
						throw Impossible;
					}
			}
#endif
			
			
			for(unsigned int i = 2; i < vtxdist.size(); i++)
				vtxdist[i] += vtxdist[i-1];
				
				
			if( time_output )
			{
				time = Timer()-time;
				REPORT_STR("time to compute graph information");
				REPORT_VAL("time",time);
			}


			{	
				xadj.resize(mysize+1);
				adjncy.reserve(mysize*nreserve); //preallocate array
				xadj[0] = 0;
			}
			
			xyz.resize(mysize*dim);
			part.resize(mysize,rank);
									
			
			if( time_output ) time = Timer();
			
			//compute itr parameter
			{
				itr = 1000; //communication time to distribution time
			}


			
			
			//estimate storage space
			if( pa == Repartition ) 
			{
				vsize.resize(mysize,1);
				int k = 0;
				for(Mesh::iteratorCell it = m->BeginCell(); it != m->EndCell(); ++it) if( it->GetStatus() != Element::Ghost )
				{
					vsize[k++] = m->MemoryUsage(*it);
				}
			}
			
			
			
			
			{
				if( GetWeight().isValid() && GetWeight().GetSize() != ENUMUNDEF )
				{
					if( GetWeight().isDefined(MESH) ) have_mwgt = 1;
					if( GetWeight().isDefined(CELL) && !GetWeight().isSparse(CELL) ) have_vwgt = 1;
					if( GetWeight().isDefined(FACE) && !GetWeight().isSparse(FACE) ) have_adjwgt = 1;
					if( have_vwgt + have_adjwgt ) ncon = GetWeight().GetSize();
				}
				
				
				if( have_vwgt ) vwgt.resize(mysize*ncon);
				if( have_adjwgt) adjwgt.reserve(mysize*ncon*nreserve);
				if( !have_adjwgt && !have_vwgt ) ncon = 1;
				//set constraint tolerances
				const real_t v = static_cast<real_t>(1.05);
				ubvec.resize(ncon,v);
				if( have_mwgt )
				{
					std::vector<real_t> l_tpwgts(ncon);
					for(idx_t q = 0; q < ncon; q++) l_tpwgts[q] = static_cast<real_t>(m->RealArray(m->GetHandle(),GetWeight())[q]);
					REPORT_MPI(MPI_Allgather(&l_tpwgts[0],ncon,IDX_T,&tpwgts[0],ncon,IDX_T,m->GetCommunicator()));
					
					for(idx_t j = 0; j < ncon; j++)
					{
						real_t sum_tpwgts = 0;
						for(unsigned i = 0; i < tpwgts.size()/ncon; i++) sum_tpwgts += tpwgts[i*ncon+j];
						for(unsigned i = 0; i < tpwgts.size()/ncon; i++) tpwgts[i*ncon+j] /= sum_tpwgts;
					}
				}
				else
				{
					real_t c = static_cast<real_t>(1.0/static_cast<real_t>(nparts));
					tpwgts.resize(nparts*ncon,c);
				}
			}			
			
			if( time_output ) time = Timer();
			
			//get part tag
			
			
			if( time_output )
			{
				time = Timer()-time;
				REPORT_STR("time to compute weights");
				REPORT_VAL("time",time);
			}
			
			REPORT_STR("start making graph, number of local elements:");
			REPORT_VAL("local_size",mysize);
			
			
			if( time_output ) time = Timer();
			
			
			//make graph
			int k = 0;
			for(Mesh::iteratorCell it = m->BeginCell(); it != m->EndCell(); ++it)
			if( it->GetStatus() != Element::Ghost )
			{
				idx_t sum = 0;
				if( pa == Partition )
				{
					Storage::real xyz_temp[3] = {0.0,0.0,0.0};
					it->Centroid(xyz_temp);
					for(int q = 0; q < m->GetDimensions(); ++q)
						xyz[k*dim+q] = static_cast<real_t>(xyz_temp[q]);
				}
				{
					ElementArray<Face> faces = it->getFaces();
					for(ElementArray<Face>::iterator jt = faces.begin(); jt != faces.end(); ++jt)
					{
						Cell n = it->Neighbour(jt->self());
						if( n.isValid() )
						{
							adjncy.push_back(n->GlobalID());
							if( have_adjwgt ) 
							{
								for(idx_t q = 0; q < ncon; q++) 
									adjwgt.push_back(jt->RealArray(GetWeight())[q]); //why adjwgt is not real???
							}
							sum++;
						}
					}
					
					xadj[k+1] = xadj[k] + sum;
					
					//Fill weight arrays here
					if( have_vwgt )
					{
						for(idx_t q = 0; q < ncon; q++)
							vwgt[k*ncon+q] = it->RealArrayDF(GetWeight())[q]; //why vwgt is not real???
					}
				}
				k++;
			}
			
			REPORT_STR("graph made, number of adjacencies: ");
			REPORT_VAL("adjacencies_size",adjncy.size());
			
			
			if( time_output )
			{
				time = Timer()-time;
				REPORT_STR("time to compute graph");
				REPORT_VAL("time",time);
			}
			
			
			wgtflag = have_vwgt*2 + have_adjwgt;
			//std::cout << "wgtflag: " <<wgtflag << std::endl;
			
			//debug_output = true;
			
			if( debug_output )
			{
				std::stringstream name;
				name << "before" << rank << ".txt";
				std::fstream f(name.str().c_str(),std::ios::out);
				//m->BeginSequentialCode();
				f << "on processor " << rank << std::endl;
				f << "vtxdist: " << std::endl;
				for(unsigned int i = 0; i < vtxdist.size(); i++)
				{
					f << vtxdist[i] << " ";
					if( (i+1)%30 == 0 ) f << std::endl;
				}
				f << std::endl;
				f << "local size: " << vtxdist[rank+1]-vtxdist[rank] << std::endl;
				
				{
					f << "xadj size " << xadj.size() << ":" << std::endl;
					for(unsigned int i = 0; i < xadj.size(); i++)
					{
						f << xadj[i] << " ";
						if( (i+1)%30 == 0 ) f << std::endl;
					}
					f << std::endl;
					f << "adjncy size " << adjncy.size() << ":" << std::endl;
					for(unsigned int i = 0; i < adjncy.size(); i++)
					{
						f << adjncy[i] << " ";
						if( (i+1)%30 == 0 ) f << std::endl;
					}
					f << std::endl;
					if( have_vwgt )
					{
						f << "vwgt: " << std::endl;
						for(unsigned int i = 0; i < vwgt.size(); i++)
						{
							f << vwgt[i] << " ";
							if( (i+1)%30 == 0 ) f << std::endl;
						}
						f << std::endl;
					}
					if( have_adjwgt )
					{
						f << "adjwgt: " << std::endl;
						for(unsigned int i = 0; i < adjwgt.size(); i++)
						{
							f << adjwgt[i] << " ";
							if( (i+1)%30 == 0 ) f << std::endl;
						}
						f << std::endl;
					}
					if( pa == Repartition )
					{
						f << "vsize: " << std::endl;
						for(unsigned int i = 0; i < vsize.size(); i++)
						{
							f << vsize[i] << " ";
							if( (i+1)%30 == 0 ) f << std::endl;
						}
						f << std::endl;
					}
					f << "part size " << part.size() << ":" << std::endl;
					for(unsigned int i = 0; i < part.size(); i++)
					{
						f << part[i] << " ";
						if( (i+1)%30 == 0 ) f << std::endl;
					}
					f << std::endl;
					
					f << "wgtflag = " << wgtflag << std::endl;
					f << "numflag = " << numflag << std::endl;
				}
				if( pa == Partition )
				{
					f << "ndims = " << ndims << std::endl;
					f << "xyz: " << std::endl;
					for(unsigned int i = 0; i < xyz.size(); i++)
					{
						f << xyz[i] << " ";
						if( (i+1)%30 == 0 ) f << std::endl;
					}
					f << std::endl;
				}
				f << "ncon = " << ncon << std::endl;
				f << "nparts = " << nparts << std::endl;
				f << "tpwgts: " << std::endl;
				for(unsigned int i = 0; i < tpwgts.size(); i++)
				{
					f << tpwgts[i] << " ";
					if( (i+1)%30 == 0 ) f << std::endl;
				}
				f << std::endl;
				f << "ubvec: " << std::endl;
				for(unsigned int i = 0; i < ubvec.size(); i++)
				{
					f << ubvec[i] << " ";
					if( (i+1)%30 == 0 ) f << std::endl;
				}
				f << std::endl;
				f << "options: " << std::endl;
				for(unsigned int i = 0; i < options.size(); i++)
				{
					f << options[i] << " ";
					if( (i+1)%30 == 0 ) f << std::endl;
				}
				f << std::endl;
				//m->EndSequentialCode();
				f.close();
			}
			
			//redistribute entities;
			if( time_output ) time = Timer();
			
			
#if defined(USE_PARTITIONER_PARMETIS)
			if( package == 2 ) //parmetis expects non-empty graph on all processors
			{
				int it,jt,kt,flag;
				unsigned int fill[3];
				
				
				
				send.reserve(3*nparts*2);
				
				if( debug_output && rank == 0 )
				{
					std::cout << "initial" << std::endl;
					for(it = 1; it <= size; it++) std::cout << it << " " << vtxdist[it]-vtxdist[it-1] << std::endl;
					std::cout << " total " << vtxdist[size]-vtxdist[0] << std::endl;
					
					std::cout << "vtxdist";
					for(it = 0; it <= size; it++) std::cout << " " << vtxdist[it];
					std::cout << std::endl;
				}
				
				std::vector<idx_t> vtxdistbase = vtxdist;
				for(it = size; it >= 1; it--)
				{
					if( vtxdist[it]-vtxdist[it-1] == 0 )
					{
						if( debug_output && rank == 0 ) std::cout << "bkw send data to " << it-1;
						fill[0] = it - 1; //to
						flag = 0;
						for(jt = it-1; jt >= 1; jt--)
						{
							if( vtxdist[jt]-vtxdist[jt-1] > 1 )
							{
								if( debug_output && rank == 0 ) std::cout << " from " << jt-1 << std::endl;
								fill[1] = jt - 1; //from
								fill[2] = vtxdist[jt]-1-vtxdistbase[rank]; //id
								send.insert(send.end(),fill,fill+3);
								for(kt = jt; kt < it; kt++) vtxdist[kt]--;
								flag = 1;
								break;
							}
						}
						
						if( !flag )
						{
							if(debug_output && rank == 0)std::cout << "no bkw data for " << fill[0] << std::endl;
							break;
						}
					}
				}
				
				for(it = 1; it <= size; it++)
				{
					if( vtxdist[it]-vtxdist[it-1] == 0 )
					{
						if( debug_output && rank == 0 ) std::cout << "fwd send data to " << it-1;
						fill[0] = it - 1; //to
						flag = 0;
						
						for(jt = it+1; jt <= size; jt++)
						{
							if( vtxdist[jt]-vtxdist[jt-1] > 1 )
							{
								if( debug_output && rank == 0 ) std::cout << " from " << jt-1 << std::endl;
								fill[1] = jt - 1; //from
								fill[2] = vtxdist[jt-1]-vtxdistbase[rank]; //id
								send.insert(send.end(),fill,fill+3);
								for(kt = it; kt < jt; kt++) vtxdist[kt]++;
								flag = 1;
								break;
							}
						}
						
						
						if( !flag )
						{
							if(debug_output && rank == 0)std::cout << "no fwd data for " << fill[0] << std::endl;
							break;
							//throw Impossible;
						}
					}
				}
				
				if(debug_output &&  rank == 0 )
				{
					std::cout << "redistr" << std::endl;
					for(it = 1; it <= size; it++) std::cout << it << " " << vtxdist[it]-vtxdist[it-1] << std::endl;
					std::cout << " total " << vtxdist[size]-vtxdist[0] << std::endl;
					
					std::cout << "vtxdist";
					for(it = 0; it <= size; it++) std::cout << " " << vtxdist[it];
					std::cout << std::endl;
				}
				
				REPORT_STR("redistribute graph:");
				REPORT_VAL("send_size",send.size()/3);
				
				
				for(unsigned int i = 0; i < send.size()/3; i++)
				{
					idx_t trans_adjncy_size;
					real_t trans_xyz[3];
					std::vector<idx_t> trans_adjncy;
					if( send[i*3+0] == send[i*3+1] ) throw Impossible;
					if( send[i*3+1] == static_cast<unsigned int>(rank) )
					{	
						{
							trans_adjncy_size = xadj[send[i*3+2]+1]-xadj[send[i*3+2]];
							int size = 0;
							for(jt = xadj[send[i*3+2]]; jt < xadj[send[i*3+2]+1]; jt++)
							{
								trans_adjncy.push_back(adjncy[jt]);
								size++;
							}
							trans_adjncy.push_back(part[send[i*3+2]]);
							//adjncy.erase(adjancy.begin()+xadj[send[i*3+2]],adjancy.begin()+xadj[send[i*3+2]+1]);
							if( have_adjwgt )
							{
								for(jt = xadj[send[i*3+2]]; jt < xadj[send[i*3+2]+1]; jt++)
								{
									trans_adjncy.push_back(adjwgt[jt]);
									size++;
								}
								//adjwgt.erase(adjwgt.begin()+xadj[send[i*3+2]],adjwgt.begin()+xadj[send[i*3+2]+1]);
							}
							
							if( have_vwgt )
							{
								trans_adjncy.push_back(vwgt[send[i*3+2]]);
								//vwgt.erase(vwgt.begin()+vwgt[send[i*3+2]]);
								size++;
							}
							//part.erase(part.begin()+send[i*3+2]);
							size++;
							REPORT_VAL("to",send[i*3+0]);
							REPORT_VAL("send_size",size);
							REPORT_MPI(result = MPI_Send(&trans_adjncy[0],size,IDX_T,send[i*3+0],2,m->GetCommunicator()));
							if( result != MPI_SUCCESS ) 
								throw Impossible;
						}
						if( pa == Partition )
						{
							for(jt = 0; jt < static_cast<int>(dim); jt++)
								trans_xyz[jt] = xyz[send[i*3+2]*dim+jt];
							//xyz.erase(send[i*3+2]*dim,(send[i*3+2]+1)*dim);
							REPORT_VAL("to",send[i*3+0]);
							REPORT_MPI(result = MPI_Send(trans_xyz,dim,REAL_T,send[i*3+0],3,m->GetCommunicator()));
							if( result != MPI_SUCCESS ) throw Impossible;
						}
					}
					else if( send[i*3+0] == static_cast<unsigned int>(rank) )
					{
						MPI_Status stat;
						int msgsize;
						
						{
							REPORT_VAL("from",send[i*3+1]);
							REPORT_MPI(result = MPI_Probe(send[i*3+1],2,m->GetCommunicator(),&stat));
							if( result != MPI_SUCCESS ) throw Impossible;
							result = MPI_Get_count(&stat,IDX_T,&msgsize);
							if( result != MPI_SUCCESS ) throw Impossible;
							trans_adjncy_size = (msgsize-have_vwgt-1)/(1+have_adjwgt);
							trans_adjncy.resize(msgsize);
							REPORT_VAL("size",trans_adjncy_size);
							REPORT_MPI(result = MPI_Recv(&trans_adjncy[0],msgsize,IDX_T,send[i*3+1],2,m->GetCommunicator(),&stat));
							if( result != MPI_SUCCESS ) throw Impossible;
							xadj.resize(2);
							xadj[0] = 0;
							xadj[1] = trans_adjncy_size;
							for(jt = 0; jt < trans_adjncy_size; jt++)
								adjncy.push_back(trans_adjncy[jt]);
							part.push_back(trans_adjncy[trans_adjncy_size]);
							if( have_adjwgt )
								for(jt = 0; jt < trans_adjncy_size; jt++)
									adjwgt.push_back(trans_adjncy[jt+trans_adjncy_size+1]);
							if( have_vwgt )
								vwgt.push_back(trans_adjncy[trans_adjncy_size+1+(have_adjwgt?trans_adjncy_size:0)]);
							
						}
						if( pa == Partition )
						{
							REPORT_VAL("from",send[i*3+1]);
							REPORT_MPI(result = MPI_Recv(&trans_xyz,dim,REAL_T,send[i*3+1],3,m->GetCommunicator(),&stat));
							if( result != MPI_SUCCESS ) throw Impossible;
							xyz.resize(dim);
							for(jt = 0; jt < static_cast<int>(dim); jt++)
								xyz[jt] = trans_xyz[jt];
						}
					}
				}
				//cleanup
				{
					std::vector<int> erase;
					for(unsigned int i = 0; i < send.size()/3; i++)
					{
						if( send[i*3+1] == static_cast<unsigned int>(rank) )
							erase.push_back(send[i*3+2]);
					}
					std::sort(erase.rbegin(),erase.rend());
					for(unsigned int i = 0; i < erase.size(); ++i)
					{
						int pos = erase[i];
						idx_t trans_adjncy_size = xadj[pos+1]-xadj[pos];
						adjncy.erase(adjncy.begin()+xadj[pos],adjncy.begin()+xadj[pos+1]);
						if( have_adjwgt )
							adjwgt.erase(adjwgt.begin()+xadj[pos],adjwgt.begin()+xadj[pos+1]);
						if( have_vwgt )
							vwgt.erase(vwgt.begin()+pos);
						if( pa == Repartition )
							part.erase(part.begin()+pos);
						if( pa == Partition )
							xyz.erase(xyz.begin()+pos*dim,xyz.begin()+(pos+1)*dim);
						
						for(it = pos+1; it < xadj.size(); ++it) xadj[it] -= trans_adjncy_size;
						xadj.erase(xadj.begin()+pos);
					}
				}
				REPORT_STR("graph redistributed");
			}
#endif //USE_PARTITIONER_PARMETIS
			
			if( debug_output )
			{
				std::stringstream name;
				name << "after" << rank << ".txt";
				std::fstream f(name.str().c_str(),std::ios::out);
				//m->BeginSequentialCode();
				f << "on processor " << rank << std::endl;
				f << "vtxdist: " << std::endl;
				for(unsigned int i = 0; i < vtxdist.size(); i++)
				{
					f << vtxdist[i] << " ";
					if( (i+1)%30 == 0 ) f << std::endl;
				}
				f << std::endl;
				f << "local size: " << vtxdist[rank+1]-vtxdist[rank] << std::endl;
				
				{
					f << "xadj size " << xadj.size() << ":" << std::endl;
					for(unsigned int i = 0; i < xadj.size(); i++)
					{
						f << xadj[i] << " ";
						if( (i+1)%30 == 0 ) f << std::endl;
					}
					f << std::endl;
					f << "adjncy size " << adjncy.size() << ":" << std::endl;
					for(unsigned int i = 0; i < adjncy.size(); i++)
					{
						f << adjncy[i] << " ";
						if( (i+1)%30 == 0 ) f << std::endl;
					}
					f << std::endl;
					if( have_vwgt )
					{
						f << "vwgt: " << std::endl;
						for(unsigned int i = 0; i < vwgt.size(); i++)
						{
							f << vwgt[i] << " ";
							if( (i+1)%30 == 0 ) f << std::endl;
						}
						f << std::endl;
					}
					if( have_adjwgt )
					{
						f << "adjwgt: " << std::endl;
						for(unsigned int i = 0; i < adjwgt.size(); i++)
						{
							f << adjwgt[i] << " ";
							if( (i+1)%30 == 0 ) f << std::endl;
						}
						f << std::endl;
					}
					if( pa == Repartition )
					{
						f << "vsize: " << std::endl;
						for(unsigned int i = 0; i < vsize.size(); i++)
						{
							f << vsize[i] << " ";
							if( (i+1)%30 == 0 ) f << std::endl;
						}
						f << std::endl;
					}
					f << "part size " << part.size() << ":" << std::endl;
					for(unsigned int i = 0; i < part.size(); i++)
					{
						f << part[i] << " ";
						if( (i+1)%30 == 0 ) f << std::endl;
					}
					f << std::endl;
					f << "wgtflag = " << wgtflag << std::endl;
					f << "numflag = " << numflag << std::endl;
				}
				if( pa == Partition )
				{
					f << "ndims = " << ndims << std::endl;
					f << "xyz: " << std::endl;
					for(unsigned int i = 0; i < xyz.size(); i++)
					{
						f << xyz[i] << " ";
						if( (i+1)%30 == 0 ) f << std::endl;
					}
					f << std::endl;
				}
				f << "ncon = " << ncon << std::endl;
				f << "nparts = " << nparts << std::endl;
				f << "tpwgts: " << std::endl;
				for(unsigned int i = 0; i < tpwgts.size(); i++)
				{
					f << tpwgts[i] << " ";
					if( (i+1)%30 == 0 ) f << std::endl;
				}
				f << std::endl;
				f << "ubvec: " << std::endl;
				for(unsigned int i = 0; i < ubvec.size(); i++)
				{
					f << ubvec[i] << " ";
					if( (i+1)%30 == 0 ) f << std::endl;
				}
				f << std::endl;
				f << "options: " << std::endl;
				for(unsigned int i = 0; i < options.size(); i++)
				{
					f << options[i] << " ";
					if( (i+1)%30 == 0 ) f << std::endl;
				}
				f << std::endl;
				//m->EndSequentialCode();
				f.close();
			}
			
			if( time_output )
			{
				time = Timer()-time;
				REPORT_STR("time to redistribute graph");
				REPORT_VAL("time",time);
			}
			
			REPORT_STR("BEGIN PARMETIS");
			
			if( time_output ) time = Timer();
			
			MPI_Comm comm = m->GetCommunicator();
			
			idx_t  * link_vtxdist = vtxdist.empty() ? NULL : &vtxdist[0];
			idx_t  * link_xadj    = xadj.empty()    ? NULL : &xadj[0];
			idx_t  * link_adjncy  = adjncy.empty()  ? NULL : &adjncy[0];
			idx_t  * link_vwgt    = vwgt.empty()    ? NULL : &vwgt[0];
			idx_t  * link_adjwgt  = adjwgt.empty()  ? NULL : &adjwgt[0];
			real_t * link_tpwgts  = tpwgts.empty()  ? NULL : &tpwgts[0];
			real_t * link_ubvec   = ubvec.empty()   ? NULL : &ubvec[0];
			idx_t  * link_options = options.empty() ? NULL : &options[0];
			idx_t  * link_part    = part.empty()    ? NULL : &part[0];
			real_t * link_xyz     = xyz.empty()     ? NULL : &xyz[0];
			idx_t  * link_vsize   = vsize.empty()   ? NULL : &vsize[0];
			
			REPORT_VAL("vtxdist",link_vtxdist);
			REPORT_VAL("xadj",link_xadj);
			REPORT_VAL("adjncy",link_adjncy);
			REPORT_VAL("vwgt",link_vwgt);
			REPORT_VAL("adjwgt",link_adjwgt);
			REPORT_VAL("tpwgts",link_tpwgts);
			REPORT_VAL("ubvec",link_ubvec);
			REPORT_VAL("options",link_options);
			REPORT_VAL("part",link_part);
			REPORT_VAL("xyz",link_xyz);
			REPORT_VAL("vsize",link_vsize);

#if defined(USE_PARTITIONER_PARMETIS)
			if( package == 2 )
			{
				switch(pa)
				{
					 //case Partition:
					 //result = ParMETIS_V3_PartKway(&vtxdist[0],&xadj[0],&adjncy[0],&vwgt[0],&adjwgt[0],
						//						   &wgtflag,&numflag,&ncon,&nparts,&tpwgts[0],
						//						   &ubvec[0],&options[0],&edgecut,&part[0],&comm);
					 break;
					case Refine:
					REPORT_STR("run refine");
					result = ParMETIS_V3_RefineKway(link_vtxdist,link_xadj,link_adjncy,link_vwgt,link_adjwgt,
													&wgtflag,&numflag,&ncon,&nparts,link_tpwgts,
													link_ubvec,link_options,&edgecut,link_part,&comm);	
					break;
					case Partition:
					REPORT_STR("run partition");
					result = ParMETIS_V3_PartGeomKway(link_vtxdist,link_xadj,link_adjncy,link_vwgt,link_adjwgt,
													  &wgtflag,&numflag,&ndims,link_xyz,&ncon,&nparts,link_tpwgts,
													  link_ubvec,link_options,&edgecut,link_part,&comm);
					break;
					//~ case P_PartGeom:
					//~ result = ParMETIS_V3_PartGeom(&vtxdist[0],&ndims,&xyz[0],&part[0],&comm);
					//~ break;
					case Repartition:
					REPORT_STR("run repartition");
					result = ParMETIS_V3_AdaptiveRepart(link_vtxdist,link_xadj,link_adjncy,link_vwgt,link_vsize,
														link_adjwgt,&wgtflag,&numflag,&ncon,&nparts,link_tpwgts,
														link_ubvec,&itr,link_options,&edgecut,link_part,&comm);
					break;
				}
			}
#endif //USE_PARTITIONER_PARMETIS
#if defined(USE_PARTITIONER_METIS)
			if( package == 4 || package == 5  || package == 6 || package == 7)
			{
				if( m->GetProcessorRank() == 0 )
				{
					idx_t options[METIS_NOPTIONS];
					idx_t nvtxs = vtxdist[1] - vtxdist[0];
					METIS_SetDefaultOptions(options);
					options[METIS_OPTION_CONTIG] = package % 2;
					if( package == 4 || package == 5 )
					{
						result = METIS_PartGraphRecursive(&nvtxs, &ncon, link_xadj, 
														  link_adjncy, link_vwgt, link_vsize, link_adjwgt, 
														  &nparts, link_tpwgts, link_ubvec, options, 
														  &edgecut, link_part);
					}
					if( package == 6 || package == 7 )
					{
						result = METIS_PartGraphKway(&nvtxs, &ncon, link_xadj, 
													 link_adjncy, link_vwgt, link_vsize, link_adjwgt, 
													 &nparts, link_tpwgts, link_ubvec, options, 
													 &edgecut, link_part);
					}
				}
			}
#endif //USE_PARTITIONER_METIS
			
			
			
			if( time_output )
			{
				time = Timer()-time;
				REPORT_STR("time in parmetis");
				REPORT_VAL("time",time);
			}
			
			REPORT_STR("END PARMETIS");

			if( time_output ) time = Timer();

			//distribute computed parts back
#if defined(USE_PARTITIONER_PARMETIS)
			if( package == 2 )
			{
				REPORT_VAL("send_size",send.size()/3);
				for(unsigned int i = 0; i < send.size()/3; i++)
				{
					if( send[i*3+0] == static_cast<unsigned int>(rank) )
					{
						REPORT_VAL("send_part",part[0]);
						REPORT_MPI(result = MPI_Send(&part[0],1,IDX_T,send[i*3+1],4,m->GetCommunicator()));
						if( result != MPI_SUCCESS ) throw Impossible;
						part.clear();
					}
					else if( send[i*3+1] == static_cast<unsigned int>(rank) )
					{ 
						REPORT_MPI(result = MPI_Recv(&part[send[i*3+2]],1,IDX_T,send[i*3+0],4,m->GetCommunicator(),MPI_STATUS_IGNORE));
						REPORT_VAL("recv_part",part[send[i*3+2]]);
						REPORT_VAL("from",part[send[i*3+0]]);
						if( result != MPI_SUCCESS ) throw Impossible;
					}
				}
			}
#endif

			if( time_output )
			{
				time = Timer()-time;
				REPORT_STR("redistribute graph back");
				REPORT_VAL("time",time);
			}
									 
			//debug
			if( debug_output )
			{
				m->BeginSequentialCode();
				std::cout << "distribution on " << rank << std::endl;
				for(unsigned int i = 0; i < part.size(); i++)
				{
					std::cout << part[i] << " ";
					if( (i+1)%30 == 0 ) std::cout << std::endl;
				}
				std::cout << std::endl;
				m->EndSequentialCode();
			}

			//assign entities to part sets
			{
				
				Tag redist = m->RedistributeTag();
				
				int k = 0;
				for(Mesh::iteratorCell it = m->BeginCell(); it != m->EndCell(); ++it) 
					if( it->GetStatus() != Element::Ghost ) 
						it->Integer(redist) = part[k++];
				
				
			}
#endif
		}
		if( package == 3 ) //KMEANS
		{
			
			int total_points = 0;
			int K = (int)m->GetProcessorsNumber(), rank = (int)m->GetProcessorRank(); //number of clusters
			//std::cout << "Start K-means on " << m->GetProcessorRank() << " clusters " << K << std::endl;
			int max_iterations = 100;
#if defined(USE_OMP)
#pragma omp parallel for reduction(+:total_points)
#endif
			for(int q = 0; q < m->CellLastLocalID(); ++q) if( m->isValidCell(q) )
			{
				Cell n = m->CellByLocalID(q);
				if( n->GetStatus() != Element::Ghost ) total_points++;
			}
			std::vector< int > points_node(total_points);
			std::vector< double > points_center(total_points*3);
			std::vector< int > points_cluster(total_points,-1);
			std::vector< double > cluster_center(K*3,0.0);
			std::vector< int > cluster_npoints(K,0);
			std::vector< double > cluster_weight(K,1/(double)K);
			std::vector< double > cluster_shift(K*3,0);
#if defined(USE_MPI)
			std::vector< double > cluster_center_tmp(K*3);
			std::vector< int > cluster_npoints_tmp(K);
#endif
			
			int k = 0;
			for(int q = 0; q < m->CellLastLocalID(); ++q) if( m->isValidCell(q) )
			{
				Cell n = m->CellByLocalID(q);
				if( n->GetStatus() != Element::Ghost ) points_node[k++] = n->LocalID();
			}
#if defined(USE_OMP)
#pragma omp parallel for			
#endif
			for(int q = 0; q < total_points; ++q)
			{
				Cell n = m->CellByLocalID(points_node[q]);
				double cnt[3];
				n->Centroid(cnt);
				points_center[q*3+0] = cnt[0];
				points_center[q*3+1] = cnt[1];
				points_center[q*3+2] = cnt[2];
				cluster_center[rank*3+0] += cnt[0];
				cluster_center[rank*3+1] += cnt[1];
				cluster_center[rank*3+2] += cnt[2];
			}
			
			
			double pmax[3] = {-1.0e+100,-1.0e+100,-1.0e+100};
			double pmin[3] = {+1.0e+100,+1.0e+100,+1.0e+100};
			
#if defined(USE_OMP)
#pragma omp parallel
#endif
			{
				double pmaxl[3] = {-1.0e+100,-1.0e+100,-1.0e+100};
				double pminl[3] = {+1.0e+100,+1.0e+100,+1.0e+100};
#if defined(USE_OMP)
#pragma omp	for
#endif
				for(int q = 0; q < total_points; ++q)
				{
					Cell n = m->CellByLocalID(points_node[q]);
					if( pmaxl[0] < points_center[q*3+0] ) pmaxl[0] = std::max(pmaxl[0],points_center[q*3+0]);
					if( pmaxl[1] < points_center[q*3+1] ) pmaxl[1] = std::max(pmaxl[1],points_center[q*3+1]);
					if( pmaxl[2] < points_center[q*3+2] ) pmaxl[2] = std::max(pmaxl[2],points_center[q*3+2]);
					if( pminl[0] > points_center[q*3+0] ) pminl[0] = std::min(pminl[0],points_center[q*3+0]);
					if( pminl[1] > points_center[q*3+1] ) pminl[1] = std::min(pminl[1],points_center[q*3+1]);
					if( pminl[2] > points_center[q*3+2] ) pminl[2] = std::min(pminl[2],points_center[q*3+2]);
				}
#if defined(USE_OMP)
#pragma omp	critical
#endif
				{
					if( pmax[0] < pmaxl[0] ) pmax[0] = std::max(pmax[0],pmaxl[0]);
					if( pmax[1] < pmaxl[1] ) pmax[1] = std::max(pmax[1],pmaxl[1]);
					if( pmax[2] < pmaxl[2] ) pmax[2] = std::max(pmax[2],pmaxl[2]);
					if( pmin[0] > pminl[0] ) pmin[0] = std::min(pmin[0],pminl[0]);
					if( pmin[1] > pminl[1] ) pmin[1] = std::min(pmin[1],pminl[1]);
					if( pmin[2] > pminl[2] ) pmin[2] = std::min(pmin[2],pminl[2]);
				}
			}
			m->AggregateMax(pmax,3);
			m->AggregateMin(pmin,3);
			
			double mesh_dist = (pmax[0]-pmin[0])*(pmax[0]-pmin[0]) + (pmax[1]-pmin[1])*(pmax[1]-pmin[1]) + (pmax[2]-pmin[2])*(pmax[2]-pmin[2]);
			mesh_dist /= (double)K*3.0;
			
			//mesh_dist *= 10;
			/*
			if( m->GetProcessorRank() == 0)
			{
				std::cout << "mesh dist " << mesh_dist;
				std::cout << " " << pmin[0] << ":" << pmax[0];
				std::cout << " " << pmin[1] << ":" << pmax[1];
				std::cout << " " << pmin[2] << ":" << pmax[2];
				std::cout << " K " << K << std::endl;
			}
			*/
#if defined(USE_MPI)
			cluster_npoints[rank] = total_points;
			MPI_Allreduce(&cluster_center[0],&cluster_center_tmp[0],K*3,MPI_DOUBLE,MPI_SUM,MPI_COMM_WORLD);
			MPI_Allreduce(&cluster_npoints[0],&cluster_npoints_tmp[0],K,MPI_INT,MPI_SUM,MPI_COMM_WORLD);
			cluster_center.swap(cluster_center_tmp);
			cluster_npoints.swap(cluster_npoints_tmp);
#endif
			
			for(int i = 0; i < K; ++i)
			{
				cluster_center[i*3+0] /= (double) cluster_npoints[i];
				cluster_center[i*3+1] /= (double) cluster_npoints[i];
				cluster_center[i*3+2] /= (double) cluster_npoints[i];
			}
			
			int total_global_points = total_points;
#if defined(USE_MPI)
			std::vector<int> displs(m->GetProcessorsNumber());
			std::vector<int> counts(m->GetProcessorsNumber());
			std::vector<int> npoints(m->GetProcessorsNumber());
			total_global_points = 0;
			int total_local_points = 0;
			bool balance = false;
			MPI_Allgather(&total_points,1,MPI_INT,&npoints[0],1,MPI_INT,MPI_COMM_WORLD);
			double imbalance = 1;
			for(int k = 0; k < (int) m->GetProcessorsNumber(); ++k)
			{
				for(int l = k+1; l < (int) m->GetProcessorsNumber(); ++l)
				{
					imbalance = std::max(imbalance,(npoints[k]+1.0e-15)/(npoints[l]+1.0e-15));
					imbalance = std::max(imbalance,(npoints[l]+1.0e-15)/(npoints[k]+1.0e-15));
				}
				total_global_points += npoints[k];
			}
			//if( m->GetProcessorRank() == 0 )
			//	std::cout << "Imbalance is " << imbalance << std::endl;
			if( imbalance > 1.2 )
				balance = true;
			if( balance )//redistribute points
			{
				total_local_points = (int)floor((double)total_global_points/(double)m->GetProcessorsNumber());
				//std::cout << total_global_points << " " << total_local_points << " " << m->GetProcessorRank() << " " <<  total_global_points - (m->GetProcessorsNumber()-1)*total_local_points << std::endl;
				
				std::vector<double> points_center_global(m->GetProcessorRank() == 0 ? total_global_points*3 : 1);
				displs[0] = 0;
				counts[0] = npoints[0]*3;
				for(int k = 1; k < (int) m->GetProcessorsNumber(); ++k)
				{
					displs[k] = displs[k-1] + counts[k-1];
					counts[k] = npoints[k]*3;
				}
				MPI_Gatherv(&points_center[0],total_points*3,MPI_DOUBLE,&points_center_global[0],&counts[0],&displs[0],MPI_DOUBLE,0,MPI_COMM_WORLD);
				displs[0] = 0;
				counts[0] = total_local_points*3;
				for(int k = 1; k < (int) m->GetProcessorsNumber(); ++k)
				{
					displs[k] = displs[k-1] + counts[k-1];
					counts[k] = total_local_points*3;
				}
				counts.back() = total_global_points*3 - displs.back();
				total_points = counts[m->GetProcessorRank()]/3;
				points_center.resize(total_points*3);
				MPI_Scatterv(&points_center_global[0],&counts[0],&displs[0],MPI_DOUBLE,&points_center[0],total_points*3,MPI_DOUBLE,0,MPI_COMM_WORLD);
				points_cluster.resize(total_points,-1);
			}
#endif
			
			
			
			
			//if( m->GetProcessorRank() == 0 )
			//	std::cout << "Global number of points " << total_global_points << std::endl;
			//std::cout << " local points on " << m->GetProcessorRank() << " is " << total_points << std::endl;
			
			//if( m->GetProcessorRank() == 0 )
			//	std::cout << "Init clusters" << std::endl;
			
			// choose K distinct values for the centers of the clusters
			{
				int Kpart = (int)ceil((double)K/(double)m->GetProcessorsNumber());
				int Kstart = Kpart * m->GetProcessorRank();
				int Kend = Kstart + Kpart;
				if( Kend > K ) Kend = K;
				srand(0);
				for(int i = Kstart; i < Kend; i++) if( cluster_npoints[i] == 0 )
				{
					if( total_points )
					{
						while(true)
						{
							int index_point = rand() % total_points;
							if(points_cluster[index_point]==-1)
							{
								cluster_center[i*3+0] = points_center[index_point*3+0];
								cluster_center[i*3+1] = points_center[index_point*3+1];
								cluster_center[i*3+2] = points_center[index_point*3+2];
								cluster_npoints[i]++;
								points_cluster[index_point] = i;
								break;
							}
						}
					}
					else
					{
						cluster_center[i*3+0] = (pmax[0] - pmin[0])*rand()/RAND_MAX + pmin[0];
						cluster_center[i*3+1] = (pmax[1] - pmin[1])*rand()/RAND_MAX + pmin[1];
						cluster_center[i*3+2] = (pmax[2] - pmin[2])*rand()/RAND_MAX + pmin[2];
						cluster_npoints[i] = 1;
					}
				}
				//gather cluster centers over all processes
#if defined(USE_MPI)
				{
					//std::vector<int> counts(m->GetProcessorsNumber()), displs(m->GetProcessorsNumber());
					displs[0] = 0;
					counts[0] = Kpart*3;
					for(int i = 1; i < (int)m->GetProcessorsNumber(); ++i)
					{
						displs[i] = displs[i-1] + counts[i-1];
						counts[i] = Kpart*3;
					}
					counts.back() = K*3 - displs.back();
					for(int i = Kstart; i < Kend; ++i)
					{
						cluster_center_tmp[i*3+0] = cluster_center[i*3+0];
						cluster_center_tmp[i*3+1] = cluster_center[i*3+1];
						cluster_center_tmp[i*3+2] = cluster_center[i*3+2];
					}
					MPI_Allgatherv(&cluster_center_tmp[Kstart*3],(Kend-Kstart)*3,MPI_DOUBLE,&cluster_center[0],&counts[0],&displs[0],MPI_DOUBLE,MPI_COMM_WORLD);
				}
#endif
			}
			
			//~ if( m->GetProcessorRank() == 0 ) 
				//~ std::cout << "init " << std::endl;
			//~ for(int i = 0; i < K; i++)
			//~ {
				//~ if( m->GetProcessorRank() == 0 ) std::cout << "cluster " << i << " center (" <<cluster_center[i*3+0] << "," << cluster_center[i*3+1]<< "," << cluster_center[i*3+2] << "," << cluster_npoints[i] << " , " << cluster_weight[i] << ") " << std::endl;
			//~ }
			
			//if( m->GetProcessorRank() == 0 )
			//	std::cout << "Start clustering" << std::endl;
			
			int iter = 1;
			double t = Timer();
			while(true)
			{
				
				
				int changed = 0;
				// associates each point to the nearest center
#if defined(USE_OMP)
#pragma omp parallel for reduction(+:changed)
#endif
				for(int i = 0; i < total_points; i++)
				{
					int id_old_cluster = points_cluster[i];
					int id_nearest_center = -1;
					
					double lmin = 1.0e+100;
					
					for(int j = 0; j < K; ++j)
					{
						double v[3];
						v[0] = (points_center[i*3+0] - cluster_center[j*3+0]);
						v[1] = (points_center[i*3+1] - cluster_center[j*3+1]);
						v[2] = (points_center[i*3+2] - cluster_center[j*3+2]);
						
						//the bigger is the cluster weight the further is the distance
						double l = (v[0]*v[0] + v[1]*v[1] + v[2]*v[2]) + cluster_weight[j]*mesh_dist;
						if( l < lmin )
						{
							lmin = l;
							id_nearest_center = j;
						}
					}
					
					//id_nearest_center = tree.closest(&points_center[i*3]);
					
					if(id_old_cluster != id_nearest_center)
					{
						points_cluster[i] = id_nearest_center;
						changed++;
					}
				}
				
#if defined(USE_MPI)
				int tmp = changed;
				MPI_Allreduce(&tmp,&changed,1,MPI_INT,MPI_SUM,MPI_COMM_WORLD);
#endif
				
				if(changed == 0 || iter >= max_iterations)
				{
					//if( m->GetProcessorRank() == 0 )
					//	std::cout << "Break in iteration " << iter << std::endl;
					break;
				}
				
				for(int i = 0; i < K; i++)
				{
					cluster_center[i*3+0] = 0;
					cluster_center[i*3+1] = 0;
					cluster_center[i*3+2] = 0;
					cluster_npoints[i] = 0;
				}
				// recalculating the center of each cluster
#if defined(USE_OMP)
#pragma omp parallel
#endif
				{
					std::vector< double > local_sum(K*3,0.0);
					std::vector< int > local_npoints(K,0);
#if defined(USE_OMP)
#pragma omp for
#endif
					for(int j = 0; j < total_points; ++j)
					{
						local_sum[points_cluster[j]*3+0] += points_center[j*3+0];
						local_sum[points_cluster[j]*3+1] += points_center[j*3+1];
						local_sum[points_cluster[j]*3+2] += points_center[j*3+2];
						local_npoints[points_cluster[j]]++;
					}
#if defined(USE_OMP)
#pragma omp critical
#endif
					{
						for(int i = 0; i < K; ++i)
						{
							cluster_center[i*3+0] += local_sum[i*3+0];
							cluster_center[i*3+1] += local_sum[i*3+1];
							cluster_center[i*3+2] += local_sum[i*3+2];
							cluster_npoints[i] += local_npoints[i];
						}
					}
				}
#if defined(USE_MPI)
				MPI_Allreduce(&cluster_center[0],&cluster_center_tmp[0],K*3,MPI_DOUBLE,MPI_SUM,MPI_COMM_WORLD);
				MPI_Allreduce(&cluster_npoints[0],&cluster_npoints_tmp[0],K,MPI_INT,MPI_SUM,MPI_COMM_WORLD);
				cluster_center.swap(cluster_center_tmp);
				cluster_npoints.swap(cluster_npoints_tmp);
#endif
				//if( m->GetProcessorRank() == 0 ) std::cout << "cluster weight: " << std::endl;
				//~ if( m->GetProcessorRank() == 0 ) std::cout << "iteration " <<  iter << std::endl;
				for(int i = 0; i < K; i++)
				{
					cluster_center[i*3+0] /= (double) cluster_npoints[i];
					cluster_center[i*3+1] /= (double) cluster_npoints[i];
					cluster_center[i*3+2] /= (double) cluster_npoints[i];
					//recompute cluster weights based on the number of points each cluster possess
					cluster_weight[i] = (cluster_weight[i]*0.25+cluster_npoints[i]/(double)total_global_points*0.75);
					//~ if( m->GetProcessorRank() == 0 ) std::cout << "cluster " << i << " center (" <<cluster_center[i*3+0] << "," << cluster_center[i*3+1]<< "," << cluster_center[i*3+2] << "," << cluster_npoints[i] << " , " << cluster_weight[i] << ") " << std::endl;
				}
				//if( m->GetProcessorRank() == 0 ) std::cout << std::endl;
				/*
				std::fill(cluster_shift.begin(),cluster_shift.end(),0.0);
				for(int i = 0; i < K; i++)
					for(int j = i+1; j < K; j++)
					{
						double q1 = cluster_weight[i]*K - 1.0;
						double q2 = cluster_weight[j]*K - 1.0;
						double v[3];
						v[0] = (cluster_center[i*3+0] - cluster_center[j*3+0]);
						v[1] = (cluster_center[i*3+1] - cluster_center[j*3+1]);
						v[2] = (cluster_center[i*3+2] - cluster_center[j*3+2]);
						double l = v[0]*v[0] + v[1]*v[1] + v[2]*v[2];
						//if( l )
						{
							double Q = 5.0e-3*q1*q2/(l+1.0e-4);
							l = sqrt(l+1.0e-4);
							v[0] /= l; v[1] /= l; v[2] /= l;
							cluster_shift[3*i+0] += v[0] * Q / (q1+1.1);
							cluster_shift[3*i+1] += v[1] * Q / (q1+1.1);
							cluster_shift[3*i+2] += v[2] * Q / (q1+1.1);
							
							cluster_shift[3*j+0] -= v[0] * Q / (q2+1.1);
							cluster_shift[3*j+1] -= v[1] * Q / (q2+1.1);
							cluster_shift[3*j+2] -= v[2] * Q / (q2+1.1);
						}
					}
				for(int i = 0; i < K; i++)
				{
					if( m->GetProcessorRank() == 0 )
					{
					std::cout << "cluster " << i;
					std::cout << " pos " << cluster_center[i*3+0] << "," << cluster_center[i*3+1] << "," << cluster_center[i*3+2];
					std::cout << " shift " << cluster_shift[i*3+0] << "," << cluster_shift[i*3+1] << "," << cluster_shift[i*3+2];
					std::cout << std::endl;
					}
					cluster_center[i*3+0] += cluster_shift[3*i+0];
					cluster_center[i*3+1] += cluster_shift[3*i+1];
					cluster_center[i*3+2] += cluster_shift[3*i+2];
				}
				*/
				//if( m->GetProcessorRank() == 0 )
				//	std::cout << "Iteration " << iter << " changed " << changed << std::endl;
				iter++;
			}
			//tree.clear();
			//std::cout << "Clustering in " << Timer() - t << " secs " << std::endl;
#if defined(USE_MPI)
			if( balance )
			{
				std::vector<int> points_cluster_global(total_global_points);
				displs[0] = 0;
				counts[0] = total_local_points;
				for(int k = 1; k < (int) m->GetProcessorsNumber(); ++k)
				{
					displs[k] = displs[k-1] + counts[k-1];
					counts[k] = total_local_points;
				}
				counts.back() = total_global_points - displs.back();
				MPI_Gatherv(&points_cluster[0],total_points,MPI_INT,&points_cluster_global[0],&counts[0],&displs[0],MPI_INT,0,MPI_COMM_WORLD);
				displs[0] = 0;
				counts[0] = npoints[0];
				for(int k = 1; k < (int) m->GetProcessorsNumber(); ++k)
				{
					displs[k] = displs[k-1] + counts[k-1];
					counts[k] = npoints[k];
				}
				total_points = counts[m->GetProcessorRank()];
				points_cluster.resize(total_points);
				MPI_Scatterv(&points_cluster_global[0],&counts[0],&displs[0],MPI_INT,&points_cluster[0],total_points,MPI_INT,0,MPI_COMM_WORLD);
			}
#endif
			// shows elements of clusters
			TagInteger mat = m->RedistributeTag();
#if defined(USE_OMP)
#pragma omp parallel for
#endif
			for(int j = 0; j < total_points; ++j)
				mat[m->CellByLocalID(points_node[j])] = points_cluster[j];
			//m->ExchangeData(mat,CELL,0);
		}
		EXIT_FUNC();
	}
	
	void Partitioner::SetMethod(enum Type t, enum Action a)
	{
		pt = t;
		pa = a;
		int package = 0;
		switch(pt)
		{
			case INNER_RCM:
				package = 0;
				break;
			case Zoltan_Parmetis:
			case Zoltan_PHG:
			case Zoltan_RIB:
			case Zoltan_RCB:
			case Zoltan_HSFC:
			case Zoltan_Scotch:
				package = 1;
				break;
			case Parmetis:
				package = 2;
				break;
			case INNER_KMEANS:
				package = 3;
				break;
		}
		if( package == 1 )
		{
#if defined(USE_PARTITIONER_ZOLTAN)
			if(pzz == NULL)
			{
				struct Zoltan_Struct * zz = Zoltan_Create(m->GetCommunicator());
				Zoltan_Set_Num_Obj_Fn(zz, get_number_of_objects, this);
				Zoltan_Set_Obj_List_Fn(zz, get_object_list, this);
				Zoltan_Set_Num_Geom_Fn(zz, get_num_geometry, this);
				Zoltan_Set_Geom_Multi_Fn(zz, get_geometry_list, this);
				Zoltan_Set_Num_Edges_Multi_Fn(zz, get_num_edges_list, this);
				Zoltan_Set_Edge_List_Multi_Fn(zz, get_edge_list, this);
				
				Zoltan_Set_Param(zz, "DEBUG_LEVEL", "0");		
				Zoltan_Set_Param(zz, "LB_METHOD", "RIB");
				Zoltan_Set_Param(zz, "NUM_GID_ENTRIES", "1"); 
				Zoltan_Set_Param(zz, "NUM_LID_ENTRIES", "1");
				Zoltan_Set_Param(zz, "OBJ_WEIGHT_DIM", "0");
				Zoltan_Set_Param(zz, "EDGE_WEIGHT_DIM", "0");
				Zoltan_Set_Param(zz, "RETURN_LISTS", "ALL");
				pzz = static_cast<void *>(zz);
			}
			struct Zoltan_Struct * zz = static_cast<struct Zoltan_Struct *>(pzz);
			switch(t)
			{
				case Zoltan_Parmetis:
				{
					Zoltan_Set_Param(zz, "LB_METHOD", "GRAPH");
					Zoltan_Set_Param(zz,"GRAPH_PACKAGE","PARMETIS");
					Zoltan_Set_Param(zz,"PARMETIS_METHOD","AdaptiveRepart");
					Zoltan_Set_Param(zz,"SCATTER_GRAPH","2");
					break;
				}
				case Zoltan_Scotch:
				{
					Zoltan_Set_Param(zz, "LB_METHOD", "GRAPH");
					Zoltan_Set_Param(zz,"GRAPH_PACKAGE","SCOTCH");
					Zoltan_Set_Param(zz,"SCATTER_GRAPH","2");
					break;
				}
				case Zoltan_RCB:
				{
					Zoltan_Set_Param(zz, "LB_METHOD", "RCB");
					break;
				}
				case Zoltan_RIB:
				{
					Zoltan_Set_Param(zz, "LB_METHOD", "RIB");
					break;
				}
				case Zoltan_HSFC:
				{
					Zoltan_Set_Param(zz, "LB_METHOD", "HSFC");
					
					break;
				}
				case Zoltan_PHG:
				{
					Zoltan_Set_Param(zz,"LB_METHOD", "GRAPH");
					Zoltan_Set_Param(zz,"GRAPH_PACKAGE","PHG");
					Zoltan_Set_Param(zz,"SCATTER_GRAPH","0");
					break;
				}
			}
			switch(a)
			{
				case Partition:
					Zoltan_Set_Param(zz, "LB_APPROACH", "PARTITION");
					break;
				case Repartition:
					Zoltan_Set_Param(zz, "LB_APPROACH", "REPARTITION");
					break;
				case Refine:	
					Zoltan_Set_Param(zz, "LB_APPROACH", "REFINE");
					break;
			}
#else
			throw NotImplemented;
#endif
		}
		if( package == 2 )
		{
#if defined(USE_PARTITIONER_PARMETIS)
#endif
		}
	}
	
	void Partitioner::SetWeight(Tag weight)
	{
		(void) weight;
		int package = 0;
		switch(pt)
		{
			case INNER_RCM:
				package = 0;
				break;
			case Zoltan_Parmetis:
			case Zoltan_PHG:
			case Zoltan_RIB:
			case Zoltan_RCB:
			case Zoltan_HSFC:
			case Zoltan_Scotch:
				package = 1;
				break;
			case Parmetis:
				package = 2;
				break;
			case INNER_KMEANS:
				package = 3;
				break;
		}
		if( package == 1 )
		{
#if defined(USE_PARTITIONER_ZOLTAN)
			struct Zoltan_Struct * zz = static_cast<struct Zoltan_Struct *>(pzz);
			std::stringstream Wobj, Wedge;
			weight_tag = weight;
			if( weight.isValid() )
			{
				if( weight.GetSize() == ENUMUNDEF ) throw UnknownWeightSize;
				if( weight.isDefined(CELL) )
					Wobj << weight.GetSize();
				else
					Wobj << 0;
				if( weight.isDefined(FACE) )
					Wedge << weight.GetSize();
				else
					Wedge << 0;
			}
			else
			{
				Wobj << 0;
				Wedge << 0;
			}
			Zoltan_Set_Param(zz, "OBJ_WEIGHT_DIM", Wobj.str().c_str());
			Zoltan_Set_Param(zz, "EDGE_WEIGHT_DIM", Wedge.str().c_str());
#else
			throw NotImplemented;
#endif
		}
		if( package == 2 )
		{
#if defined(USE_PARTITIONER_PARMETIS)
			weight_tag = weight;
#endif
		}
	}
	void Partitioner::ResetWeight()
	{
		int package = 0;
		switch(pt)
		{
			case INNER_RCM:
				package = 0;
				break;
			case Zoltan_Parmetis:
			case Zoltan_PHG:
			case Zoltan_RIB:
			case Zoltan_RCB:
			case Zoltan_HSFC:
			case Zoltan_Scotch:
				package = 1;
				break;
			case Parmetis:
				package = 2;
				break;
			case INNER_KMEANS:
				package = 3;
				break;
		}
		if( package == 1 )
		{
#if defined(USE_PARTITIONER_ZOLTAN)
			struct Zoltan_Struct * zz = static_cast<struct Zoltan_Struct *>(pzz);
			Zoltan_Set_Param(zz, "OBJ_WEIGHT_DIM", "0");
			Zoltan_Set_Param(zz, "EDGE_WEIGHT_DIM", "0");
#else
			throw NotImplemented;
#endif
		}
		if( package == 2 )
		{
#if defined(USE_PARTITIONER_PARMETIS)
#endif
		}
		weight_tag = Tag();
	}
	Mesh * Partitioner::GetMesh()
	{
		return m;
	}
	Tag Partitioner::GetWeight()
	{
		return weight_tag;
	}
}
#endif