Teuchos_MatrixMarket_Raw_Graph_Adder.hpp

// @HEADER
// ***********************************************************************
//
//          Tpetra: Templated Linear Algebra Services Package
//                 Copyright (2008) Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE
// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
// Questions? Contact Michael A. Heroux (maherou@sandia.gov)
//
// ************************************************************************
// @HEADER
 
#ifndef __Teuchos_MatrixMarket_Raw_Graph_Adder_hpp
#define __Teuchos_MatrixMarket_Raw_Graph_Adder_hpp
 
#include "Teuchos_ConfigDefs.hpp"
#include "Teuchos_ArrayRCP.hpp"
#include "Teuchos_CommHelpers.hpp"
#include "Teuchos_ParameterList.hpp"
#include "Teuchos_MatrixMarket_Banner.hpp"
#include "Teuchos_MatrixMarket_CoordDataReader.hpp"
 
#include <algorithm>
#include <fstream>
#include <iostream>
#include <iterator>
#include <vector>
#include <stdexcept>
 
 
namespace Teuchos {
  namespace MatrixMarket {
    namespace Raw {
      template<class Ordinal>
      class GraphElement {
      public:
        GraphElement () :
          rowIndex_ (Teuchos::OrdinalTraits<Ordinal>::invalid ()),
          colIndex_ (Teuchos::OrdinalTraits<Ordinal>::invalid ())
        {}
 
        GraphElement (const Ordinal i, const Ordinal j) :
          rowIndex_ (i), colIndex_ (j) {}
 
        bool operator== (const GraphElement& rhs) {
          return rowIndex_ == rhs.rowIndex_ && colIndex_ == rhs.colIndex_;
        }
 
        bool operator!= (const GraphElement& rhs) {
          return ! (*this == rhs);
        }
 
        bool operator< (const GraphElement& rhs) const {
          if (rowIndex_ < rhs.rowIndex_)
            return true;
          else if (rowIndex_ > rhs.rowIndex_)
            return false;
          else { // equal
            return colIndex_ < rhs.colIndex_;
          }
        }
 
        Ordinal rowIndex() const { return rowIndex_; }
 
        Ordinal colIndex() const { return colIndex_; }
 
      private:
        Ordinal rowIndex_, colIndex_;
      };
 
      template<class Ordinal>
      std::ostream&
      operator<< (std::ostream& out, const GraphElement<Ordinal>& elt)
      {
        out << elt.rowIndex () << " " << elt.colIndex ();
        return out;
      }
 
      template<class Ordinal>
      class GraphAdder {
      public:
        typedef Ordinal index_type;
        typedef GraphElement<Ordinal> element_type;
        typedef typename std::vector<element_type>::size_type size_type;
 
        GraphAdder () :
          expectedNumRows_(0),
          expectedNumCols_(0),
          expectedNumEntries_(0),
          seenNumRows_(0),
          seenNumCols_(0),
          seenNumEntries_(0),
          tolerant_ (true),
          debug_ (false)
        {}
 
        GraphAdder (const Ordinal expectedNumRows,
               const Ordinal expectedNumCols,
               const Ordinal expectedNumEntries,
               const bool tolerant=false,
               const bool debug=false) :
          expectedNumRows_(expectedNumRows),
          expectedNumCols_(expectedNumCols),
          expectedNumEntries_(expectedNumEntries),
          seenNumRows_(0),
          seenNumCols_(0),
          seenNumEntries_(0),
          tolerant_ (tolerant),
          debug_ (debug)
        {}
 
        void
        operator() (const Ordinal i,
                    const Ordinal j,
                    const bool countAgainstTotal=true)
        {
          if (! tolerant_) {
            const bool indexPairOutOfRange = i < 1 || j < 1 ||
              i > expectedNumRows_ || j > expectedNumCols_;
 
            TEUCHOS_TEST_FOR_EXCEPTION(indexPairOutOfRange,
              std::invalid_argument, "Graph is " << expectedNumRows_ << " x "
              << expectedNumCols_ << ", so entry A(" << i << "," << j
              << ") is out of range.");
            if (countAgainstTotal) {
              TEUCHOS_TEST_FOR_EXCEPTION(seenNumEntries_ >= expectedNumEntries_,
                std::invalid_argument, "Cannot add entry A(" << i << "," << j
                << ")  to graph; already have expected number "
                "of entries " << expectedNumEntries_ << ".");
            }
          }
          // i and j are 1-based indices, but we store them as 0-based.
          elts_.push_back (element_type (i-1, j-1));
 
          // Keep track of the rightmost column containing a matrix
          // entry, and the bottommost row containing a matrix entry.
          // This gives us a lower bound for the dimensions of the
          // graph, and a check for the reported dimensions of the
          // graph in the Matrix Market file.
          seenNumRows_ = std::max (seenNumRows_, i);
          seenNumCols_ = std::max (seenNumCols_, j);
          if (countAgainstTotal) {
            ++seenNumEntries_;
          }
        }
 
        void
        print (std::ostream& out, const bool doMerge, const bool replace=false)
        {
          if (doMerge) {
            TEUCHOS_TEST_FOR_EXCEPTION
              (replace, std::logic_error, "replace = true not implemented!");
            //merge (replace);
            merge ();
          } else {
            std::sort (elts_.begin(), elts_.end());
          }
          // Print out the results, delimited by newlines.
          typedef std::ostream_iterator<element_type> iter_type;
          std::copy (elts_.begin(), elts_.end(), iter_type (out, "\n"));
        }
 
        std::pair<size_type, size_type>
        merge ()
        {
          typedef typename std::vector<element_type>::iterator iter_type;
 
          // Start with a sorted container.  GraphElement objects sort in
          // lexicographic order of their (row, column) indices, for
          // easy conversion to CSR format.  If you expect that the
          // elements will usually be sorted in the desired order, you
          // can check first whether they are already sorted.  We have
          // no such expectation, so we don't even bother to spend the
          // extra O(# entries) operations to check.
          std::sort (elts_.begin(), elts_.end());
 
          // Remove duplicate elements from the sequence
          iter_type it;
          it = std::unique(elts_.begin(), elts_.end());
          size_type numUnique = std::distance(elts_.begin(),it);
          const size_type numRemoved = elts_.size() - numUnique;
          elts_.resize( std::distance(elts_.begin(),it) );
          elts_.resize (numUnique);
          return std::make_pair (numUnique, numRemoved);
        }
 
        void
        mergeAndConvertToCSR (size_type& numUniqueElts,
                              size_type& numRemovedElts,
                              Teuchos::ArrayRCP<Ordinal>& rowptr,
                              Teuchos::ArrayRCP<Ordinal>& colind)
        {
          using Teuchos::arcp;
          using Teuchos::ArrayRCP;
 
          std::pair<size_type, size_type> mergeResult = merge();
 
          // At this point, elts_ is already in CSR order.
          // Now we can allocate and fill the ind array.
          ArrayRCP<Ordinal> ind = arcp<Ordinal> (elts_.size ());
 
          // Number of rows in the graph.
          const Ordinal nrows = tolerant_ ? seenNumRows_ : expectedNumRows_;
          ArrayRCP<Ordinal> ptr = arcp<Ordinal> (nrows + 1);
 
          // Copy over the elements, and fill in the ptr array with
          // offsets.  Note that merge() sorted the entries by row
          // index, so we can assume the row indices are increasing in
          // the list of entries.
          Ordinal curRow = 0;
          Ordinal curInd = 0;
          typedef typename std::vector<element_type>::const_iterator iter_type;
          ptr[0] = 0; // ptr always has at least one entry.
          for (iter_type it = elts_.begin(); it != elts_.end(); ++it) {
            const Ordinal i = it->rowIndex ();
            const Ordinal j = it->colIndex ();
 
            TEUCHOS_TEST_FOR_EXCEPTION(i < curRow, std::logic_error, "The "
              "current graph entry's row index " << i << " is less then what "
              "should be the current row index lower bound " << curRow << ".");
            for (Ordinal k = curRow+1; k <= i; ++k) {
              ptr[k] = curInd;
            }
            curRow = i;
 
            TEUCHOS_TEST_FOR_EXCEPTION(
              static_cast<size_t> (curInd) >= elts_.size (),
              std::logic_error, "The current index " << curInd << " into ind "
              "is >= the number of matrix entries " << elts_.size ()
              << ".");
            ind[curInd] = j;
            ++curInd;
          }
          for (Ordinal k = curRow+1; k <= nrows; ++k) {
            ptr[k] = curInd;
          }
 
          // Assign to outputs here, to ensure the strong exception
          // guarantee (assuming that ArrayRCP's operator= doesn't
          // throw).
          rowptr = ptr;
          colind = ind;
          numUniqueElts = mergeResult.first;
          numRemovedElts = mergeResult.second;
        }
 
        const std::vector<element_type>& getEntries() const {
          return elts_;
        }
 
        void clear() {
          seenNumRows_ = 0;
          seenNumCols_ = 0;
          seenNumEntries_ = 0;
          elts_.resize (0);
        }
 
        const Ordinal numRows() const { return seenNumRows_; }
 
        const Ordinal numCols() const { return seenNumCols_; }
 
      private:
        Ordinal expectedNumRows_, expectedNumCols_, expectedNumEntries_;
        Ordinal seenNumRows_, seenNumCols_, seenNumEntries_;
        bool tolerant_;
        bool debug_;
 
        std::vector<element_type> elts_;
      };
    } // namespace Raw
  } // namespace MatrixMarket
} // namespace Teuchos
 
#endif // #ifndef __Teuchos_MatrixMarket_Raw_Graph_Adder_hpp