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https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
merge with default branch
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@@ -53,11 +53,11 @@ public:
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};
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#endif // EIGEN_TEST_EVALUATORS
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inline BlockImpl(const XprType& xpr, int i)
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inline BlockImpl(const XprType& xpr, Index i)
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: m_matrix(xpr), m_outerStart(i), m_outerSize(OuterSize)
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{}
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inline BlockImpl(const XprType& xpr, int startRow, int startCol, int blockRows, int blockCols)
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inline BlockImpl(const XprType& xpr, Index startRow, Index startCol, Index blockRows, Index blockCols)
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: m_matrix(xpr), m_outerStart(IsRowMajor ? startRow : startCol), m_outerSize(IsRowMajor ? blockRows : blockCols)
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{}
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@@ -69,7 +69,7 @@ public:
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#ifndef EIGEN_TEST_EVALUATORS
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Index nnz = 0;
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Index end = m_outerStart + m_outerSize.value();
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for(int j=m_outerStart; j<end; ++j)
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for(Index j=m_outerStart; j<end; ++j)
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for(typename XprType::InnerIterator it(m_matrix, j); it; ++it)
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++nnz;
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return nnz;
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@@ -146,11 +146,11 @@ public:
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};
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#endif // EIGEN_TEST_EVALUATORS
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inline sparse_matrix_block_impl(const SparseMatrixType& xpr, int i)
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inline sparse_matrix_block_impl(const SparseMatrixType& xpr, Index i)
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: m_matrix(xpr), m_outerStart(i), m_outerSize(OuterSize)
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{}
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inline sparse_matrix_block_impl(const SparseMatrixType& xpr, int startRow, int startCol, int blockRows, int blockCols)
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inline sparse_matrix_block_impl(const SparseMatrixType& xpr, Index startRow, Index startCol, Index blockRows, Index blockCols)
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: m_matrix(xpr), m_outerStart(IsRowMajor ? startRow : startCol), m_outerSize(IsRowMajor ? blockRows : blockCols)
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{}
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@@ -250,8 +250,8 @@ public:
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Index nonZeros() const
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{
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if(m_matrix.isCompressed())
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return std::size_t(m_matrix.outerIndexPtr()[m_outerStart+m_outerSize.value()])
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- std::size_t(m_matrix.outerIndexPtr()[m_outerStart]);
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return Index( std::size_t(m_matrix.outerIndexPtr()[m_outerStart+m_outerSize.value()])
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- std::size_t(m_matrix.outerIndexPtr()[m_outerStart]));
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else if(m_outerSize.value()==0)
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return 0;
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else
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@@ -292,13 +292,14 @@ class BlockImpl<SparseMatrix<_Scalar, _Options, _Index>,BlockRows,BlockCols,true
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: public internal::sparse_matrix_block_impl<SparseMatrix<_Scalar, _Options, _Index>,BlockRows,BlockCols>
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{
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public:
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typedef _Index Index;
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typedef SparseMatrix<_Scalar, _Options, _Index> SparseMatrixType;
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typedef internal::sparse_matrix_block_impl<SparseMatrixType,BlockRows,BlockCols> Base;
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inline BlockImpl(SparseMatrixType& xpr, int i)
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inline BlockImpl(SparseMatrixType& xpr, Index i)
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: Base(xpr, i)
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{}
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inline BlockImpl(SparseMatrixType& xpr, int startRow, int startCol, int blockRows, int blockCols)
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inline BlockImpl(SparseMatrixType& xpr, Index startRow, Index startCol, Index blockRows, Index blockCols)
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: Base(xpr, startRow, startCol, blockRows, blockCols)
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{}
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@@ -310,13 +311,14 @@ class BlockImpl<const SparseMatrix<_Scalar, _Options, _Index>,BlockRows,BlockCol
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: public internal::sparse_matrix_block_impl<const SparseMatrix<_Scalar, _Options, _Index>,BlockRows,BlockCols>
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{
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public:
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typedef _Index Index;
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typedef const SparseMatrix<_Scalar, _Options, _Index> SparseMatrixType;
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typedef internal::sparse_matrix_block_impl<SparseMatrixType,BlockRows,BlockCols> Base;
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inline BlockImpl(SparseMatrixType& xpr, int i)
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inline BlockImpl(SparseMatrixType& xpr, Index i)
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: Base(xpr, i)
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{}
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inline BlockImpl(SparseMatrixType& xpr, int startRow, int startCol, int blockRows, int blockCols)
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inline BlockImpl(SparseMatrixType& xpr, Index startRow, Index startCol, Index blockRows, Index blockCols)
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: Base(xpr, startRow, startCol, blockRows, blockCols)
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{}
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@@ -390,7 +392,7 @@ public:
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/** Column or Row constructor
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*/
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inline BlockImpl(const XprType& xpr, int i)
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inline BlockImpl(const XprType& xpr, Index i)
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: m_matrix(xpr),
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m_startRow( (BlockRows==1) && (BlockCols==XprType::ColsAtCompileTime) ? i : 0),
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m_startCol( (BlockRows==XprType::RowsAtCompileTime) && (BlockCols==1) ? i : 0),
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@@ -400,32 +402,32 @@ public:
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/** Dynamic-size constructor
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*/
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inline BlockImpl(const XprType& xpr, int startRow, int startCol, int blockRows, int blockCols)
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inline BlockImpl(const XprType& xpr, Index startRow, Index startCol, Index blockRows, Index blockCols)
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: m_matrix(xpr), m_startRow(startRow), m_startCol(startCol), m_blockRows(blockRows), m_blockCols(blockCols)
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{}
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inline int rows() const { return m_blockRows.value(); }
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inline int cols() const { return m_blockCols.value(); }
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inline Index rows() const { return m_blockRows.value(); }
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inline Index cols() const { return m_blockCols.value(); }
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inline Scalar& coeffRef(int row, int col)
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inline Scalar& coeffRef(Index row, Index col)
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{
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return m_matrix.const_cast_derived()
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.coeffRef(row + m_startRow.value(), col + m_startCol.value());
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}
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inline const Scalar coeff(int row, int col) const
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inline const Scalar coeff(Index row, Index col) const
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{
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return m_matrix.coeff(row + m_startRow.value(), col + m_startCol.value());
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}
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inline Scalar& coeffRef(int index)
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inline Scalar& coeffRef(Index index)
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{
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return m_matrix.const_cast_derived()
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.coeffRef(m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
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m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0));
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}
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inline const Scalar coeff(int index) const
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inline const Scalar coeff(Index index) const
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{
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return m_matrix
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.coeff(m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
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