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turbonss/cxxmph/mphtable.h

127 lines
3.9 KiB
C++

#ifndef __CXXMPH_MPHTABLE_H__
#define __CXXMPH_MPHTABLE_H__
// Minimal perfect hash abstraction implementing the BDZ algorithm
#include <cmath>
#include <vector>
#include <iostream>
using std::cerr;
using std::endl;
#include "randomly_seeded_hash.h"
#include "stringpiece.h"
#include "trigraph.h"
namespace cxxmph {
class MPHTable {
public:
// This class could be a template for both key type and hash function, but we
// chose to go with simplicity.
typedef StringPiece key_type;
typedef RandomlySeededHashFunction<Murmur2StringPiece> hasher_type;
MPHTable(double c = 1.23, cmph_uint8 b = 7) :
c_(c), b_(b), m_(0), n_(0), k_(0), r_(0) { }
~MPHTable() {}
template <class ForwardIterator>
bool Reset(ForwardIterator begin, ForwardIterator end);
cmph_uint32 index(const key_type& x) const;
cmph_uint32 size() const { return m_; }
void clear();
private:
template <class ForwardIterator>
bool Mapping(ForwardIterator begin, ForwardIterator end,
std::vector<TriGraph::Edge>* edges,
std::vector<cmph_uint32>* queue);
bool GenerateQueue(TriGraph* graph, std::vector<cmph_uint32>* queue);
void Assigning(const std::vector<TriGraph::Edge>& edges,
const std::vector<cmph_uint32>& queue);
void Ranking();
cmph_uint32 Search(const key_type& key) const;
cmph_uint32 Rank(cmph_uint32 vertex) const;
// Algorithm parameters
double c_; // Number of bits per key (? is it right)
cmph_uint8 b_; // Number of bits of the kth index in the ranktable
// Values used during generation
cmph_uint32 m_; // edges count
cmph_uint32 n_; // vertex count
cmph_uint32 k_; // kth index in ranktable, $k = log_2(n=3r)\varepsilon$
// Values used during search
// Partition vertex count, derived from c parameter.
cmph_uint32 r_;
// The array containing the minimal perfect hash function graph.
std::vector<cmph_uint8> g_;
// The table used for the rank step of the minimal perfect hash function
std::vector<cmph_uint32> ranktable_;
// The selected hash function triplet for finding the edges in the minimal
// perfect hash function graph.
hasher_type hash_function_[3];
};
// Template method needs to go in the header file.
template <class ForwardIterator>
bool MPHTable::Reset(ForwardIterator begin, ForwardIterator end) {
m_ = end - begin;
r_ = static_cast<cmph_uint32>(ceil((c_*m_)/3));
if ((r_ % 2) == 0) r_ += 1;
n_ = 3*r_;
k_ = 1U << b_;
cerr << "m " << m_ << " n " << n_ << " r " << r_ << endl;
int iterations = 1000;
std::vector<TriGraph::Edge> edges;
std::vector<cmph_uint32> queue;
while (1) {
cerr << "Iterations missing: " << iterations << endl;
for (int i = 0; i < 3; ++i) hash_function_[i] = hasher_type();
// hash_function_[0] = hasher_type();
cerr << "Seed: " << hash_function_[0].seed << endl;
if (Mapping(begin, end, &edges, &queue)) break;
else --iterations;
if (iterations == 0) break;
}
if (iterations == 0) return false;
Assigning(edges, queue);
std::vector<TriGraph::Edge>().swap(edges);
Ranking();
return true;
}
template <class ForwardIterator>
bool MPHTable::Mapping(
ForwardIterator begin, ForwardIterator end,
std::vector<TriGraph::Edge>* edges, std::vector<cmph_uint32>* queue) {
TriGraph graph(n_, m_);
for (ForwardIterator it = begin; it != end; ++it) {
cmph_uint32 h[3];
for (int i = 0; i < 3; ++i) h[i] = hash_function_[i](*it);
// hash_function_[0](*it, h);
cmph_uint32 v0 = h[0] % r_;
cmph_uint32 v1 = h[1] % r_ + r_;
cmph_uint32 v2 = h[2] % r_ + (r_ << 1);
cerr << "Key: " << *it << " edge " << it - begin << " (" << v0 << "," << v1 << "," << v2 << ")" << endl;
graph.AddEdge(TriGraph::Edge(v0, v1, v2));
}
if (GenerateQueue(&graph, queue)) {
graph.ExtractEdgesAndClear(edges);
return true;
}
return false;
}
} // namespace cxxmph
#endif // __CXXMPH_MPHTABLE_H__