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https://github.com/wesnoth/wesnoth
synced 2025-04-29 15:36:06 +00:00
remove util::array
std::array or boost::array can be used instead.
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@ -1,74 +0,0 @@
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/*
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Copyright (C) 2003 - 2016 by David White <dave@whitevine.net>
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Part of the Battle for Wesnoth Project http://www.wesnoth.org/
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This program is free software; you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation; either version 2 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY.
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See the COPYING file for more details.
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*/
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/**
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* @file
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* Template for arrays.
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*/
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#ifndef ARRAY_HPP_INCLUDED
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#define ARRAY_HPP_INCLUDED
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#include <algorithm>
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namespace util
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{
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template<typename T,size_t N>
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class array
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{
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public:
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typedef T value_type;
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typedef T* iterator;
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typedef const T* const_iterator;
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typedef T& reference;
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typedef const T& const_reference;
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typedef size_t size_type;
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array() {}
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array(const T& o)
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{
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std::fill(begin(),end(),o);
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}
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iterator begin() { return a; }
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iterator end() { return a + N; }
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const_iterator begin() const { return a; }
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const_iterator end() const { return a + N; }
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reference operator[](size_type n) { return a[n]; }
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const_reference operator[](size_type n) const { return a[n]; }
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reference front() { return a[0]; }
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reference back() { return a[N-1]; }
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const_reference front() const { return a[0]; }
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const_reference back() const { return a[N-1]; }
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size_type size() const { return N; }
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bool empty() const { return size() == 0; }
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T* data() { return a; }
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const T* data() const { return a; }
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private:
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T a[N];
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};
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} // end namespace util
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#endif
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@ -37,8 +37,8 @@
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#include "attack_prediction.hpp"
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#include "actions/attack.hpp"
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#include "array.hpp"
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#include "game_config.hpp"
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#include <array>
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#if defined(BENCHMARK) || defined(CHECK)
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#include <time.h>
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@ -207,11 +207,11 @@ private:
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private: // data
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const unsigned int rows_, cols_;
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util::array<double *, NUM_PLANES> plane_;
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std::array<double *, NUM_PLANES> plane_;
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// For optimization, we keep track of the rows and columns with data.
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// (The matrices are likely going to be rather sparse, with data on a grid.)
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util::array<std::set<unsigned>, NUM_PLANES> used_rows_, used_cols_;
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std::array<std::set<unsigned>, NUM_PLANES> used_rows_, used_cols_;
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};
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