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94 lines
2.1 KiB
C++
94 lines
2.1 KiB
C++
#ifndef LLARP_DHT_BUCKET_HPP
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#define LLARP_DHT_BUCKET_HPP
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#include <llarp/dht/kademlia.hpp>
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#include <llarp/dht/key.hpp>
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#include <map>
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#include <set>
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#include <vector>
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namespace llarp
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{
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namespace dht
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{
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template < typename Val_t >
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struct Bucket
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{
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typedef std::map< Key_t, Val_t, XorMetric > BucketStorage_t;
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Bucket(const Key_t& us) : nodes(XorMetric(us)){};
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bool
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GetRandomNodeExcluding(Key_t& result, std::set< Key_t > exclude) const
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{
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std::vector< Key_t > candidates;
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for(const auto& item : nodes)
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{
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if(exclude.find(item.first) == exclude.end())
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candidates.push_back(item.first);
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}
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if(candidates.size() == 0)
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return false;
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result = candidates[llarp_randint() % candidates.size()];
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return true;
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}
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bool
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FindClosest(const Key_t& target, Key_t& result) const
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{
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Key_t mindist;
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mindist.Fill(0xff);
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for(const auto& item : nodes)
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{
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auto curDist = item.first ^ target;
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if(curDist < mindist)
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{
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mindist = curDist;
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result = item.first;
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}
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}
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return nodes.size() > 0;
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}
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bool
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FindCloseExcluding(const Key_t& target, Key_t& result,
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std::set< Key_t > exclude) const
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{
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Key_t maxdist;
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maxdist.Fill(0xff);
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Key_t mindist;
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mindist.Fill(0xff);
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for(const auto& item : nodes)
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{
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if(exclude.count(item.first))
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continue;
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auto curDist = item.first ^ target;
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if(curDist < mindist)
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{
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mindist = curDist;
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result = item.first;
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}
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}
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return mindist < maxdist;
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}
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void
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PutNode(const Val_t& val)
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{
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nodes.insert(std::make_pair(val.ID, val));
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}
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void
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DelNode(const Key_t& key)
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{
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auto itr = nodes.find(key);
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if(itr != nodes.end())
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nodes.erase(itr);
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}
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BucketStorage_t nodes;
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};
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} // namespace dht
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} // namespace llarp
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#endif |