Commit 27cb1cfa authored by Tomáš Oberhuber's avatar Tomáš Oberhuber Committed by Tomáš Oberhuber
Browse files

Fixed multidiagonal to sparse matrix assignment.

parent 733401dc
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+8 −8
Original line number Diff line number Diff line
@@ -502,7 +502,7 @@ void multidiagonalMatrixAssignment()
   MultidiagonalHost hostMatrix( rows, columns, diagonals );
   for( IndexType i = 0; i < rows; i++ )
      for( IndexType j = 0; j < columns; j++ )
         if( diagonals.containsValue( i - j ) )
         if( diagonals.containsValue( j - i ) )
            hostMatrix.setElement( i, j, i + j );

   Matrix matrix;
@@ -510,15 +510,15 @@ void multidiagonalMatrixAssignment()
   using RowCapacitiesType = typename Matrix::RowsCapacitiesType;
   RowCapacitiesType rowCapacities;
   matrix.getCompressedRowLengths( rowCapacities );
   RowCapacitiesType exactRowLengths{ 1, 3, 3, 3, 3, 3, 3, 3, 3, 2 };
   RowCapacitiesType exactRowLengths{ 3, 4, 5, 5, 6, 5, 5, 4, 4, 3 };
   EXPECT_EQ( rowCapacities, exactRowLengths );
   for( IndexType i = 0; i < rows; i++ )
      for( IndexType j = 0; j < columns; j++ )
      {
         if( diagonals.containsValue( i - j ) )
            EXPECT_EQ( matrix.getElement( i, j ), 0.0 );
         else
         if( diagonals.containsValue( j - i ) )
            EXPECT_EQ( matrix.getElement( i, j ), i + j );
         else
            EXPECT_EQ( matrix.getElement( i, j ), 0.0 );
      }

#ifdef HAVE_CUDA
@@ -530,10 +530,10 @@ void multidiagonalMatrixAssignment()
   for( IndexType i = 0; i < rows; i++ )
      for( IndexType j = 0; j < columns; j++ )
      {
         if( diagonals.containsValue( i - j ) > 1 )
            EXPECT_EQ( matrix.getElement( i, j ), 0.0 );
         else
         if( diagonals.containsValue( j - i ) )
            EXPECT_EQ( matrix.getElement( i, j ), i + j );
         else
            EXPECT_EQ( matrix.getElement( i, j ), 0.0 );
      }
#endif
}