A Discrete-Event Network Simulator
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shuffle.h
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1/*
2 * Copyright (c) 2024 Universita' degli Studi di Napoli Federico II
3 *
4 * This program is free software; you can redistribute it and/or modify
5 * it under the terms of the GNU General Public License version 2 as
6 * published by the Free Software Foundation;
7 *
8 * This program is distributed in the hope that it will be useful,
9 * but WITHOUT ANY WARRANTY; without even the implied warranty of
10 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
11 * GNU General Public License for more details.
12 *
13 * You should have received a copy of the GNU General Public License
14 * along with this program; if not, write to the Free Software
15 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
16 *
17 * Author: Stefano Avallone <stavallo@unina.it>
18 */
19
20#ifndef SHUFFLE_H
21#define SHUFFLE_H
22
23/**
24 * \file
25 * \ingroup randomvariable
26 * Function to shuffle elements in a given range.
27 */
28
30
31#include <algorithm>
32#include <iterator>
33
34namespace ns3
35{
36
37/**
38 * Shuffle the elements in the range <i>first</i> to <i>last</i>. Given that the implementation
39 * of std::shuffle is not dictated by the standard
40 * [CppReference](https://en.cppreference.com/w/cpp/algorithm/random_shuffle), it is not guaranteed
41 * that std::shuffle returns the same permutation of the given range using different compilers/OSes.
42 * Therefore, this function provides a specific implementation of the shuffling algorithm reported
43 * in "The Art of Computer Programming" of Donald Knuth and on
44 * [Wikipedia](https://en.wikipedia.org/wiki/Fisher%E2%80%93Yates_shuffle#The_modern_algorithm),
45 * which basically matches the implementation in libstdc++.
46 *
47 * The complexity of the implemented algorithm is linear with the distance between <i>first</i>
48 * and <i>last</i>. For containers that do not provide random access iterators (e.g., lists, sets)
49 * we can still achieve a linear complexity by copying the elements in a vector and shuffling the
50 * elements of the vector.
51 *
52 * \tparam RND_ACCESS_ITER \deduced the iterator type (must be a random access iterator)
53 * \param first an iterator pointing to the first element in the range to shuffle
54 * \param last an iterator pointing to past-the-last element in the range to shuffle
55 * \param rv pointer to a uniform random variable
56 */
57template <typename RND_ACCESS_ITER>
58void
59Shuffle(RND_ACCESS_ITER first, RND_ACCESS_ITER last, Ptr<UniformRandomVariable> rv)
60{
61 if (auto dist = std::distance(first, last); dist > 1)
62 {
63 for (--last; first < last; ++first, --dist)
64 {
65 if (auto i = rv->GetInteger(0, dist - 1); i != 0)
66 {
67 std::iter_swap(first, std::next(first, i));
68 }
69 }
70 }
71}
72
73} // namespace ns3
74
75#endif /* SHUFFLE_H */
Smart pointer class similar to boost::intrusive_ptr.
Definition: ptr.h:77
Definition: first.py:1
Every class exported by the ns3 library is enclosed in the ns3 namespace.
void Shuffle(RND_ACCESS_ITER first, RND_ACCESS_ITER last, Ptr< UniformRandomVariable > rv)
Shuffle the elements in the range first to last.
Definition: shuffle.h:59
ns3::RandomVariableStream declaration, and related classes.