Now going to adapt hash_map.
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@ -165,8 +165,8 @@ void MPHTable::Ranking() {
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cmph_uint32 MPHTable::Search(const key_type& key) const {
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cmph_uint32 h[3];
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// for (int i = 0; i < 3; ++i) h[i] = hash_function_[i](key);
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hash_function_[0](key, h);
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for (int i = 0; i < 3; ++i) h[i] = hash_function_[i](key);
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// hash_function_[0](key, h);
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h[0] = h[0] % r_;
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h[1] = h[1] % r_ + r_;
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h[2] = h[2] % r_ + (r_ << 1);
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@ -22,7 +22,7 @@ class MPHTable {
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// This class could be a template for both key type and hash function, but we
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// chose to go with simplicity.
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typedef StringPiece key_type;
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typedef RandomlySeededHashFunction<JenkinsStringPiece> hasher_type;
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typedef RandomlySeededHashFunction<Murmur2StringPiece> hasher_type;
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MPHTable(double c = 1.23, cmph_uint8 b = 7) : c_(c), b_(b) { }
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~MPHTable() {}
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@ -82,8 +82,8 @@ bool MPHTable::Reset(ForwardIterator begin, ForwardIterator end) {
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std::vector<cmph_uint32> queue;
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while (1) {
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cerr << "Iterations missing: " << iterations << endl;
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// for (int i = 0; i < 3; ++i) hash_function_[i] = hasher_type();
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hash_function_[0] = hasher_type();
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for (int i = 0; i < 3; ++i) hash_function_[i] = hasher_type();
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// hash_function_[0] = hasher_type();
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cerr << "Seed: " << hash_function_[0].seed << endl;
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if (Mapping(begin, end, &edges, &queue)) break;
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else --iterations;
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@ -103,8 +103,8 @@ bool MPHTable::Mapping(
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TriGraph graph(n_, m_);
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for (ForwardIterator it = begin; it != end; ++it) {
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cmph_uint32 h[3];
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// for (int i = 0; i < 3; ++i) h[i] = hash_function_[i](*it);
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hash_function_[0](*it, h);
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for (int i = 0; i < 3; ++i) h[i] = hash_function_[i](*it);
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// hash_function_[0](*it, h);
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cmph_uint32 v0 = h[0] % r_;
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cmph_uint32 v1 = h[1] % r_ + r_;
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cmph_uint32 v2 = h[2] % r_ + (r_ << 1);
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@ -17,6 +17,10 @@ int main(int argc, char** argv) {
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keys.push_back("joao");
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keys.push_back("maria");
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keys.push_back("bruno");
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keys.push_back("paula");
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keys.push_back("diego");
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keys.push_back("diogo");
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keys.push_back("algume");
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MPHTable mphtable;
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assert(mphtable.Reset(keys.begin(), keys.end()));
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