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Diffstat (limited to 'src/Coxeter_triangulation/include/gudhi/Permutahedral_representation/Permutation_iterator.h')
-rw-r--r-- | src/Coxeter_triangulation/include/gudhi/Permutahedral_representation/Permutation_iterator.h | 137 |
1 files changed, 137 insertions, 0 deletions
diff --git a/src/Coxeter_triangulation/include/gudhi/Permutahedral_representation/Permutation_iterator.h b/src/Coxeter_triangulation/include/gudhi/Permutahedral_representation/Permutation_iterator.h new file mode 100644 index 00000000..7cf6158b --- /dev/null +++ b/src/Coxeter_triangulation/include/gudhi/Permutahedral_representation/Permutation_iterator.h @@ -0,0 +1,137 @@ +/* This file is part of the Gudhi Library. The Gudhi library + * (Geometric Understanding in Higher Dimensions) is a generic C++ + * library for computational topology. + * + * Author(s): Siargey Kachanovich + * + * Copyright (C) 2019 Inria + * + * Modification(s): + * - YYYY/MM Author: Description of the modification + */ + +#ifndef PERMUTAHEDRAL_REPRESENTATION_PERMUTATION_ITERATOR_H_ +#define PERMUTAHEDRAL_REPRESENTATION_PERMUTATION_ITERATOR_H_ + +#include <vector> +#include <boost/range/iterator_range.hpp> + +namespace Gudhi { + +namespace coxeter_triangulation { + +typedef unsigned uint; + +/** \brief Class that allows the user to generate permutations. + * Based on the optimization of the Heap's algorithm by Sedgewick. +*/ +class Permutation_iterator : public boost::iterator_facade< Permutation_iterator, + std::vector<uint> const, + boost::forward_traversal_tag> { + typedef std::vector<uint> value_t; + +protected: + friend class boost::iterator_core_access; + + bool equal(Permutation_iterator const& other) const { + return (is_end_ && other.is_end_); + } + + value_t const& dereference() const { + return value_; + } + + void swap_two_indices(std::size_t i, std::size_t j) { + uint t = value_[i]; + value_[i] = value_[j]; + value_[j] = t; + } + + void elementary_increment() { + uint j = 0; + while (d_[j] == j+1) { + d_[j] = 0; + ++j; + } + if (j == n_ - 1) { + is_end_ = true; + return; + } + uint k = j+1; + uint x = (k%2 ? d_[j] : 0); + swap_two_indices(k, x); + ++d_[j]; + } + + void elementary_increment_optim_3() { + if (ct_ != 0) { + --ct_; + swap_two_indices(1 + (ct_%2), 0); + } + else { + ct_ = 5; + uint j = 2; + while (d_[j] == j+1) { + d_[j] = 0; + ++j; + } + if (j == n_ - 1) { + is_end_ = true; + return; + } + uint k = j+1; + uint x = (k%2 ? d_[j] : 0); + swap_two_indices(k, x); + ++d_[j]; + } + } + + void increment() { + if (optim_3_) + elementary_increment_optim_3(); + else + elementary_increment(); + } + +public: + + Permutation_iterator(const uint& n) + : + value_(n), + is_end_(n == 0), + optim_3_(n >= 3), + n_(n), + d_(n), + ct_(5) + { + for (uint i = 0; i < n; ++i) { + value_[i] = i; + d_[i] = 0; + } + if (n > 0) + d_[n-1] = -1; + } + + // Used for the creating an end iterator + Permutation_iterator() : is_end_(true), n_(0) {} + + void reinitialize() { + if (n_ > 0) + is_end_ = false; + } + +protected: + value_t value_; // the dereference value + bool is_end_; // is true when the current permutation is the final one + bool optim_3_; // true if n>=3. for n >= 3, the algorithm is optimized + + uint n_; + std::vector<uint> d_; // mix radix digits with radix [2 3 4 ... n-1 (sentinel=-1)] + uint ct_; // counter with values in {0,...,5} used in the n>=3 optimization. +}; + +} // namespace coxeter_triangulation + +} // namespace Gudhi + +#endif |