package org.djunits.value.vdouble.matrix;
   
   import java.util.stream.IntStream;
   
   import org.djunits.value.StorageType;
   import org.djunits.value.ValueException;
   import org.djunits.value.vdouble.DoubleFunction;
   
   /**
   * Stores dense data for a DoubleMatrix and carries out basic operations.
   * <p>
   * Copyright (c) 2013-2018 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands. All rights reserved. <br>
   * BSD-style license. See <a href="http://opentrafficsim.org/docs/license.html">OpenTrafficSim License</a>.
   * </p>
   * $LastChangedDate: 2015-07-24 02:58:59 +0200 (Fri, 24 Jul 2015) $, @version $Revision: 1147 $, by $Author: averbraeck $,
   * initial version Oct 3, 2015 <br>
   * @author <a href="http://www.tbm.tudelft.nl/averbraeck">Alexander Verbraeck</a>
   * @author <a href="http://www.tudelft.nl/pknoppers">Peter Knoppers</a>
   */
  public class DoubleMatrixDataDense extends DoubleMatrixData
  {
      /**
       * Create a matrix with dense data.
       * @param matrixSI the data to store
       * @param rows the number of rows
       * @param cols the number of columns
       * @throws ValueException in case <tt>rows * cols != matrixSI.length</tt>
       */
      public DoubleMatrixDataDense(final double[] matrixSI, final int rows, final int cols) throws ValueException
      {
          super(StorageType.DENSE);
          if (rows * cols != matrixSI.length)
          {
              throw new ValueException("DoubleMatrixDataDense constructor, rows * cols != matrixSI.length");
          }
          this.matrixSI = new double[matrixSI.length];
          System.arraycopy(matrixSI, 0, this.matrixSI, 0, matrixSI.length);
          this.rows = rows;
          this.cols = cols;
      }
  
      /**
       * Create a matrix with dense data.
       * @param matrixSI the data to store
       * @throws ValueException in case matrix is ragged
       */
      public DoubleMatrixDataDense(final double[][] matrixSI) throws ValueException
      {
          super(StorageType.DENSE);
          if (matrixSI == null || matrixSI.length == 0)
          {
              throw new ValueException("DoubleMatrixDataDense constructor, matrixSI == null || matrixSI.length == 0");
          }
          this.rows = matrixSI.length;
          this.cols = matrixSI[0].length;
          this.matrixSI = new double[this.rows * this.cols];
          for (int r = 0; r < this.rows; r++)
          {
              double[] row = matrixSI[r];
              if (row.length != this.cols)
              {
                  throw new ValueException("DoubleMatrixDataDense constructor, ragged matrix");
              }
              System.arraycopy(row, 0, this.matrixSI, r * this.cols, row.length);
          }
      }
  
      /**
       * @param doubleFunction the function to apply on the (mutable) data elements
       */
      public final void assign(final DoubleFunction doubleFunction)
      {
          IntStream.range(0, this.rows() * this.cols()).parallel()
                  .forEach(i -> this.matrixSI[i] = doubleFunction.apply(this.matrixSI[i]));
      }
  
      /** {@inheritDoc} */
      @Override
      public final DoubleMatrixDataSparse toSparse()
      {
          int length = cardinality();
          double[] sparseSI = new double[length];
          long[] indices = new long[length];
          int count = 0;
          for (int r = 0; r < this.rows; r++)
          {
              for (int c = 0; c < this.cols; c++)
              {
                  int index = r * this.cols + c;
                  if (this.matrixSI[index] != 0.0)
                  {
                      sparseSI[count] = this.matrixSI[index];
                      indices[count] = index;
                      count++;
                  }
              }
          }
          return new DoubleMatrixDataSparse(sparseSI, indices, this.matrixSI.length, this.rows, this.cols);
      }
 
     /** {@inheritDoc} */
     @Override
     public final double getSI(final int row, final int col)
     {
         return this.matrixSI[row * this.cols + col];
     }
 
     /** {@inheritDoc} */
     @Override
     public final void setSI(final int row, final int col, final double valueSI)
     {
         this.matrixSI[row * this.cols + col] = valueSI;
     }
 
     /** {@inheritDoc} */
     @Override
     public final double[][] getDenseMatrixSI()
     {
         double[][] matrix = new double[this.rows][];
         for (int r = 0; r < this.rows; r++)
         {
             double[] row = new double[this.cols];
             System.arraycopy(this.matrixSI, r * this.cols, row, 0, row.length);
             matrix[r] = row;
         }
         return matrix;
     }
 
     /** {@inheritDoc} */
     @Override
     public final DoubleMatrixDataDense copy()
     {
         try
         {
             return new DoubleMatrixDataDense(getDenseMatrixSI());
         }
         catch (ValueException exception)
         {
             throw new RuntimeException(exception); // should not happen -- original is not ragged...
         }
     }
 
     /** {@inheritDoc} */
     @Override
     public final void incrementBy(final DoubleMatrixData right) throws ValueException
     {
         IntStream.range(0, this.rows).parallel().forEach(
                 r -> IntStream.range(0, this.cols).forEach(c -> this.matrixSI[r * this.cols + c] += right.getSI(r, c)));
     }
 
     /** {@inheritDoc} */
     @Override
     public final void decrementBy(final DoubleMatrixData right) throws ValueException
     {
         IntStream.range(0, this.rows).parallel().forEach(
                 r -> IntStream.range(0, this.cols).forEach(c -> this.matrixSI[r * this.cols + c] -= right.getSI(r, c)));
     }
 
     /** {@inheritDoc} */
     @Override
     public final void multiplyBy(final DoubleMatrixData right) throws ValueException
     {
         IntStream.range(0, this.rows).parallel().forEach(
                 r -> IntStream.range(0, this.cols).forEach(c -> this.matrixSI[r * this.cols + c] *= right.getSI(r, c)));
     }
 
     /** {@inheritDoc} */
     @Override
     public final void divideBy(final DoubleMatrixData right) throws ValueException
     {
         IntStream.range(0, this.rows).parallel().forEach(
                 r -> IntStream.range(0, this.cols).forEach(c -> this.matrixSI[r * this.cols + c] /= right.getSI(r, c)));
     }
 }