Module: ppl/ppl Branch: master Commit: 5cf4362e714d714e0595a0d8baa73101220a3dbe URL: http://www.cs.unipr.it/git/gitweb.cgi?p=ppl/ppl.git;a=commit;h=5cf4362e714d7...
Author: Marco Poletti poletti.marco@gmail.com Date: Sat Oct 16 17:18:04 2010 +0200
Sparse_Matrix: add some methods, to be fully compatible with Dense_Matrix.
---
src/Sparse_Matrix.cc | 17 ++++++++++ src/Sparse_Matrix.defs.hh | 73 ++++++++++++++++++++++++++++++++++++++++- src/Sparse_Matrix.inlines.hh | 30 +++++++++++++++++ 3 files changed, 118 insertions(+), 2 deletions(-)
diff --git a/src/Sparse_Matrix.cc b/src/Sparse_Matrix.cc index 1061baf..339e500 100644 --- a/src/Sparse_Matrix.cc +++ b/src/Sparse_Matrix.cc @@ -170,3 +170,20 @@ PPL::Sparse_Matrix::OK() const { return false; return true; } + +bool +PPL::operator==(const Sparse_Matrix& x, const Sparse_Matrix& y) { + if (x.num_rows() != y.num_rows()) + return false; + if (x.num_columns() != y.num_columns()) + return false; + for (dimension_type i = x.num_rows(); i-- > 0; ) + if (x[i] != y[i]) + return false; + return true; +} + +bool +PPL::operator!=(const Sparse_Matrix& x, const Sparse_Matrix& y) { + return !(x == y); +} diff --git a/src/Sparse_Matrix.defs.hh b/src/Sparse_Matrix.defs.hh index 9f6c2d7..cb09eeb 100644 --- a/src/Sparse_Matrix.defs.hh +++ b/src/Sparse_Matrix.defs.hh @@ -59,6 +59,12 @@ public:
typedef Sparse_Row::Flags Flags;
+ //! Returns the maximum number of rows of a Sparse_Matrix. + static dimension_type max_num_rows(); + + //! Returns the maximum number of columns of a Sparse_Matrix. + static dimension_type max_num_columns(); + /*! \brief Constructs a square matrix with the given size, filled with unstored zeroes. @@ -115,6 +121,17 @@ public: */ dimension_type num_columns() const;
+ //! Returns <CODE>true</CODE> if and only if \p *this has no rows. + /*! + \note + The unusual naming for this method is \em intentional: + we do not want it to be named \c empty because this would cause + an error prone name clash with the corresponding methods in derived + classes Constraint_System and Congruence_System (which have a + different semantics). + */ + bool has_no_rows() const; + //! Equivalent to resize(n, n, row_flags). void resize(dimension_type n, Flags row_flags = Flags());
@@ -152,6 +169,26 @@ public: void resize(dimension_type num_rows, dimension_type num_columns, Flags row_flags = Flags());
+ //! Resizes the matrix without worrying about the old contents. + /*! + \param new_n_rows + The number of rows of the resized matrix; + + \param new_n_columns + The number of columns of the resized matrix. + + \param row_flags + The flags of the rows eventually added to the matrix. + + The matrix is expanded to the specified dimensions avoiding + reallocation whenever possible. + The contents of the original matrix is lost. + + This method is provided for compatibility with Dense_Matrix. + */ + void resize_no_copy(dimension_type new_n_rows, dimension_type new_n_columns, + Flags row_flags); + //! Adds \p n rows and \p m columns of zeroes to the matrix. /*! \param n @@ -206,14 +243,30 @@ public: */ void add_row(const Sparse_Row& x);
+ //! Adds the row \p y to the matrix. + /*! + \param y + The row to be added: it must have the same size and capacity as + \p *this. It is not declared <CODE>const</CODE> because its + data-structures will recycled to build the new matrix row. + + Turns the \f$r \times c\f$ matrix \f$M\f$ into + the \f$(r+1) \times c\f$ matrix + \f$\genfrac{(}{)}{0pt}{}{M}{y}\f$. + The matrix is expanded avoiding reallocation whenever possible. + + This method is provided for compatibility with Dense_Matrix. + */ + void add_recycled_row(Sparse_Row& y); + /*! \brief Removes from the matrix the last \p n rows.
\param n The number of row that will be removed.
- Provided for compatibility with Dense_Row. - It is equivalent to resize(num_rows() - n, num_columns()). + Provided for compatibility with Dense_Matrix. + It is equivalent to num_rows() - n, num_columns()).
This method takes \f$O(n+k)\f$ amortized time, where k is the total number of elements stored in the removed rows and n is the number of removed @@ -422,6 +475,22 @@ void swap(Parma_Polyhedra_Library::Sparse_Matrix& x,
} // namespace std
+namespace Parma_Polyhedra_Library { + +#ifdef PPL_DOXYGEN_INCLUDE_IMPLEMENTATION_DETAILS +//! Returns <CODE>true</CODE> if and only if \p x and \p y are identical. +/*! \relates Sparse_Matrix */ +#endif // defined(PPL_DOXYGEN_INCLUDE_IMPLEMENTATION_DETAILS) +bool operator==(const Sparse_Matrix& x, const Sparse_Matrix& y); + +#ifdef PPL_DOXYGEN_INCLUDE_IMPLEMENTATION_DETAILS +//! Returns <CODE>true</CODE> if and only if \p x and \p y are different. +/*! \relates Sparse_Matrix */ +#endif // defined(PPL_DOXYGEN_INCLUDE_IMPLEMENTATION_DETAILS) +bool operator!=(const Sparse_Matrix& x, const Sparse_Matrix& y); + +} // namespace Parma_Polyhedra_Library +
#include "Sparse_Matrix.inlines.hh"
diff --git a/src/Sparse_Matrix.inlines.hh b/src/Sparse_Matrix.inlines.hh index 1feb4b4..1fb3ffa 100644 --- a/src/Sparse_Matrix.inlines.hh +++ b/src/Sparse_Matrix.inlines.hh @@ -25,6 +25,16 @@ site: http://www.cs.unipr.it/ppl/ . */
namespace Parma_Polyhedra_Library {
+inline dimension_type +Sparse_Matrix::max_num_rows() { + return std::vector<Sparse_Row>().max_size(); +} + +inline dimension_type +Sparse_Matrix::max_num_columns() { + return Sparse_Row::max_size(); +} + inline void Sparse_Matrix::swap(Sparse_Matrix& x) { std::swap(rows, x.rows); @@ -41,12 +51,25 @@ Sparse_Matrix::num_columns() const { return num_columns_; }
+inline bool +Sparse_Matrix::has_no_rows() const { + return num_rows() == 0; +} + inline void Sparse_Matrix::resize(dimension_type n, Flags row_flags) { resize(n, n, row_flags); }
inline void +Sparse_Matrix::resize_no_copy(dimension_type new_n_rows, + dimension_type new_n_columns, + Flags row_flags) { + clear(); + resize(new_n_rows, new_n_columns, row_flags); +} + +inline void Sparse_Matrix::add_zero_rows_and_columns(dimension_type n, dimension_type m, Flags row_flags) { @@ -68,6 +91,13 @@ Sparse_Matrix::add_row(const Sparse_Row& x) { }
inline void +Sparse_Matrix::add_recycled_row(Sparse_Row& x) { + add_zero_rows(1, Flags()); + rows.back().swap(x); + PPL_ASSERT(OK()); +} + +inline void Sparse_Matrix::remove_trailing_rows(dimension_type n) { resize(num_rows() - n, num_columns()); }