首先,观察,因为间隔是封闭的,[0,4]
实际上[4,6]
并不是相邻的,而是重叠的。你的意思是right_open
?
其次,区间映射模型是一个函数,映射不保证是单射的。
在您示例的有限范围内,您似乎宁愿反转数据结构,以达到:
#include "boost/icl/closed_interval.hpp"
#include <boost/icl/interval_map.hpp>
#include <iostream>
#include <set>
#include <map>
struct Process {
int id;
friend bool operator==(const Process& p, const Process& q) { return p.id == q.id; }
friend bool operator<(const Process& p, const Process& q) { return p.id < q.id; }
friend std::ostream& operator<<(std::ostream& str, const Process& p) {
return str << "Process{" << p.id << "}";
}
};
int main(int, char**) {
using namespace boost::icl;
using Map = std::map<Process, boost::icl::interval_set<double> >; // instead of boost::icl::interval_map<double, std::set<Process> >;
using IVal = Map::mapped_type::interval_type;
Map imap;
imap[{4}] += IVal::right_open(0, 4);
imap[{1}] += IVal::right_open(2, 6);
imap[{4}] += IVal::right_open(4, 9);
imap[{7}] += IVal::closed(8, 8);
//for (auto&& el : imap) { std::cout << el.first << " - " << el.second << std::endl; }
Process key{4};
std::cout << key << " - " << imap[key];
}
这导致:
Process{4} - {[0,9)}
这就是我认为您的意思是“以自动完成重叠间隔合并的方式”。
两者兼得
当然,您可以从原始数据结构中导出逆映射:
template <typename IMap>
auto inverted(IMap const& imap) {
std::map<typename IMap::codomain_type::value_type, boost::icl::interval_set<typename IMap::domain_type> > output;
for (auto& el : imap)
for (auto& key: el.second)
output[key] += el.first;
return output;
}
看见Live On Coliru
#include "boost/icl/closed_interval.hpp"
#include <boost/icl/interval_map.hpp>
#include <iostream>
#include <set>
struct Process {
int id;
friend bool operator==(const Process& p, const Process& q) { return p.id == q.id; }
friend bool operator<(const Process& p, const Process& q) { return p.id < q.id; }
};
std::ostream& operator<<(std::ostream& str, const Process& p) {
str << "Process{" << p.id << "}";
return str;
}
template <typename IMap>
auto inverted(IMap const& imap) {
std::map<typename IMap::codomain_type::value_type, boost::icl::interval_set<typename IMap::domain_type> > output;
for (auto& el : imap)
for (auto& key: el.second)
output[key] += el.first;
return output;
}
int main(int, char**) {
using namespace boost::icl;
using IMap = boost::icl::interval_map<double, std::set<Process> >;
using IVal = IMap::interval_type;
IMap imap;
imap.add({ IVal::right_open(0, 4), {Process{ 4 }} });
imap.add({ IVal::right_open(2, 6), {Process{ 1 }} });
imap.add({ IVal::right_open(4, 9), {Process{ 4 }} });
imap.add({ IVal::closed(8, 8), {Process{ 7 }} });
std::cout << imap << "\n\n";
for (auto&& iter : imap) {
std::cout << iter.first << " - " << iter.second << std::endl;
}
Process key{4};
std::cout << key << " - " << inverted(imap)[key] << "\n";
}
更多笔记
直接支持查询域中的多个键,请参阅此处的各种指针:
您始终可以构建自己的提供双向索引的数据结构,例如所示