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Fix linear indexing in generic block evaluation.
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@ -1079,7 +1079,8 @@ struct unary_evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel>, IndexBa
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EIGEN_DEVICE_FUNC explicit unary_evaluator(const XprType& block)
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: m_argImpl(block.nestedExpression()),
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m_startRow(block.startRow()),
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m_startCol(block.startCol())
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m_startCol(block.startCol()),
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m_linear_offset(InnerPanel?(XprType::IsRowMajor ? block.startRow()*block.cols() : block.startCol()*block.rows()):0)
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{ }
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typedef typename XprType::Scalar Scalar;
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@ -1098,6 +1099,9 @@ struct unary_evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel>, IndexBa
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
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CoeffReturnType coeff(Index index) const
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{
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if (InnerPanel)
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return m_argImpl.coeff(m_linear_offset.value() + index);
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else
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return coeff(RowsAtCompileTime == 1 ? 0 : index, RowsAtCompileTime == 1 ? index : 0);
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}
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@ -1110,6 +1114,9 @@ struct unary_evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel>, IndexBa
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EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
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Scalar& coeffRef(Index index)
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{
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if (InnerPanel)
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return m_argImpl.coeffRef(m_linear_offset.value() + index);
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else
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return coeffRef(RowsAtCompileTime == 1 ? 0 : index, RowsAtCompileTime == 1 ? index : 0);
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}
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@ -1124,6 +1131,9 @@ struct unary_evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel>, IndexBa
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EIGEN_STRONG_INLINE
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PacketType packet(Index index) const
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{
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if (InnerPanel)
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return m_argImpl.template packet<LoadMode,PacketType>(m_linear_offset.value() + index);
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else
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return packet<LoadMode,PacketType>(RowsAtCompileTime == 1 ? 0 : index,
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RowsAtCompileTime == 1 ? index : 0);
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}
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@ -1139,6 +1149,9 @@ struct unary_evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel>, IndexBa
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EIGEN_STRONG_INLINE
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void writePacket(Index index, const PacketType& x)
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{
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if (InnerPanel)
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return m_argImpl.template writePacket<StoreMode,PacketType>(m_linear_offset.value() + index, x);
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else
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return writePacket<StoreMode,PacketType>(RowsAtCompileTime == 1 ? 0 : index,
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RowsAtCompileTime == 1 ? index : 0,
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x);
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@ -1148,6 +1161,7 @@ protected:
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evaluator<ArgType> m_argImpl;
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const variable_if_dynamic<Index, (ArgType::RowsAtCompileTime == 1 && BlockRows==1) ? 0 : Dynamic> m_startRow;
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const variable_if_dynamic<Index, (ArgType::ColsAtCompileTime == 1 && BlockCols==1) ? 0 : Dynamic> m_startCol;
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const variable_if_dynamic<Index, InnerPanel ? Dynamic : 0> m_linear_offset;
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};
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// TODO: This evaluator does not actually use the child evaluator;
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@ -44,7 +44,7 @@ template<typename MatrixType> void block(const MatrixType& m)
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typedef typename MatrixType::RealScalar RealScalar;
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typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
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typedef Matrix<Scalar, 1, MatrixType::ColsAtCompileTime> RowVectorType;
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typedef Matrix<Scalar, Dynamic, Dynamic> DynamicMatrixType;
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typedef Matrix<Scalar, Dynamic, Dynamic, MatrixType::IsRowMajor?RowMajor:ColMajor> DynamicMatrixType;
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typedef Matrix<Scalar, Dynamic, 1> DynamicVectorType;
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Index rows = m.rows();
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@ -142,7 +142,7 @@ template<typename MatrixType> void block(const MatrixType& m)
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VERIFY(numext::real(ones.col(c1).dot(ones.col(c2))) == RealScalar(rows));
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VERIFY(numext::real(ones.row(r1).dot(ones.row(r2))) == RealScalar(cols));
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// chekc that linear acccessors works on blocks
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// check that linear acccessors works on blocks
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m1 = m1_copy;
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if((MatrixType::Flags&RowMajorBit)==0)
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VERIFY_IS_EQUAL(m1.leftCols(c1).coeff(r1+c1*rows), m1(r1,c1));
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@ -166,6 +166,13 @@ template<typename MatrixType> void block(const MatrixType& m)
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VERIFY_IS_APPROX( ((m1+m2).block(r1,c1,r2-r1+1,c2-c1+1).transpose().col(0)) , ((m1+m2).row(r1).segment(c1,c2-c1+1)).transpose() );
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VERIFY_IS_APPROX( ((m1+m2).transpose().block(c1,r1,c2-c1+1,r2-r1+1).col(0)) , ((m1+m2).row(r1).segment(c1,c2-c1+1)).transpose() );
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VERIFY_IS_APPROX( (m1*1).topRows(r1), m1.topRows(r1) );
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VERIFY_IS_APPROX( (m1*1).leftCols(c1), m1.leftCols(c1) );
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VERIFY_IS_APPROX( (m1*1).transpose().topRows(c1), m1.transpose().topRows(c1) );
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VERIFY_IS_APPROX( (m1*1).transpose().leftCols(r1), m1.transpose().leftCols(r1) );
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VERIFY_IS_APPROX( (m1*1).transpose().middleRows(c1,c2-c1+1), m1.transpose().middleRows(c1,c2-c1+1) );
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VERIFY_IS_APPROX( (m1*1).transpose().middleCols(r1,r2-r1+1), m1.transpose().middleCols(r1,r2-r1+1) );
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// evaluation into plain matrices from expressions with direct access (stress MapBase)
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DynamicMatrixType dm;
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DynamicVectorType dv;
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