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SuperEmbedding.cpp
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447 lines (381 loc) · 12.2 KB
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#include "SuperEmbedding.h"
#include "BasicEmbeddingSpace.h"
#include "EdgeInducedEmbedding.h"
#include "VertexInducedEmbedding.h"
#include <assert.h>
#include <utility> // std::pair
template <class T>
SuperEmbedding<T>::SuperEmbedding():inDegree(0) {
embQueue.setMaxSize(MAX_QUEUE_SIZE);
embQueue.reserve(160000);
hasAll=false;
}
template <class T>
SuperEmbedding<T>::SuperEmbedding(int size):inDegree(0) {
embQueue.setMaxSize(size);
embQueue.reserve(MAX_QUEUE_SIZE);
hasAll=false;
}
template <class T>
void SuperEmbedding<T>::reset() {
inDegreeEmbeddings.clear();
degreeEmbeddings.clear();
code2index.clear();
embQueue.clear();
inDegree = 0;
degree = 0;
hasAll = false;
}
template <class T>
bool SuperEmbedding<T>::isEmpty() {
return embQueue.empty();
}
template <class T>
int SuperEmbedding<T>::getNumberOfEmbeddings() {
std::vector<T> embs = embQueue.getVector();
return embs.size();
//return embQueue.size();
}
template <class T>
bool SuperEmbedding<T>::getHasAll() {
return hasAll;
}
template <class T>
void SuperEmbedding<T>::setHasAll(bool b) {
hasAll = b;
}
template <class T>
bool SuperEmbedding<T>::hasEmbedding(T &embedding) {
size_t code = embedding.getHash();
std::unordered_map<size_t, int>::iterator ret = code2index.find(code);
if (ret!=code2index.end()) {
//std::cout << "Embedding " << code << " is in SuperNode! Embedding Number: " << ret->second << std::endl;
//embedding.print();
}
//else {
// std::cout << "Embedding " << code << " is NOT in SuperNode!" << std::endl;
// }
return ret!=code2index.end();
}
template <class T>
bool SuperEmbedding<T>::insertEmbeddingQueue(T &embedding) {
size_t code = embedding.getHash();
if (code2index.find(code)==code2index.end()) {
code2index.insert(std::make_pair(code, embQueue.size()));
embQueue.insert(embedding);
return true;
}
return false;
}
template <class T>
bool SuperEmbedding<T>::insertEmbedding(T &embedding) {
size_t code = embedding.getHash();
if (code2index.find(code)==code2index.end()) {
code2index.insert(std::make_pair(code, embQueue.size()));
embQueue.insertVectorOnly(embedding);
return true;
}
return false;
}
//TODO FIX IT
template <class T>
void SuperEmbedding<T>::removeEmbedding(T &embedding) {
size_t code = embedding.getHash();
std::unordered_map<size_t, int>::iterator ret = code2index.find(code);
if (ret!=code2index.end()) {
embQueue.remove(embedding);
code2index.erase(ret);
}
}
template <class T>
void SuperEmbedding<T>::removeEmbeddingQueue() {
T embedding = embQueue.top();
size_t code = embedding.getHash();
std::unordered_map<size_t, int>::iterator ret = code2index.find(code);
if (ret!=code2index.end()) {
code2index.erase(ret);
embQueue.pop();
}
else {
std::cout << "error: embedding is not in index!" << std::endl;
exit(1);
}
}
template <class T>
void SuperEmbedding<T>::removeEmbedding() {
std::vector<T> embs = embQueue.getVector();
T embedding = embs.back();
size_t code = embedding.getHash();
std::unordered_map<size_t, int>::iterator ret = code2index.find(code);
if (ret!=code2index.end()) {
code2index.erase(ret);
embs.pop_back();
}
else {
std::cout << "error: embedding is not in index!" << std::endl;
exit(1);
}
}
template <class T>
std::vector<T> &SuperEmbedding<T>::getEmbeddings() {
return embQueue.getVector();
}
template <class T>
void SuperEmbedding<T>::setEmbeddings(std::vector<T> &es) {
embQueue.setVector(es);
}
template <class T>
double SuperEmbedding<T>::getExternalDegree() {
return degree;
}
template <class T>
void SuperEmbedding<T>::setExternalDegree(double n) {
degree = n;
}
template <class T>
double SuperEmbedding<T>::getExternalDegree(T &embedding) {
size_t code = embedding.getHash();
std::unordered_map<size_t, int>::iterator ret = code2index.find(code);
if (ret == code2index.end()) return 0;
return getExternalDegree(ret->second);
}
template <class T>
double SuperEmbedding<T>::getExternalDegree(int n) {
if ((int) degreeEmbeddings.size()>n)
return degreeEmbeddings[n];
return 0;
}
template <class T>
double SuperEmbedding<T>::getInternalDegree(T &embedding) {
size_t code = embedding.getHash();
std::unordered_map<size_t, int>::iterator ret = code2index.find(code);
if (ret == code2index.end()) return 0;
return getInternalDegree(ret->second);
}
template <class T>
double SuperEmbedding<T>::getInternalDegree(int n) {
if ((int) inDegreeEmbeddings.size()>n)
return inDegreeEmbeddings[n];
return 0;
}
template <class T>
double SuperEmbedding<T>::getInternalDegree() {
return inDegree;
}
template <class T>
void SuperEmbedding<T>::setInternalDegree(double n) {
inDegree = n;
}
template <class T>
void SuperEmbedding<T>::print() {
std::vector<T> embs = embQueue.getVector();
std::cout << "SUPERNODE" << " Size: " << embs.size() << " inDegree: " << inDegree << " Degree: " << degree << std::endl;
assert(embs.size()==inDegreeEmbeddings.size());
assert(embs.size()==degreeEmbeddings.size());
for (int i = 0; i < (int) embs.size(); i++) {
std::cout << "embs[" << i << "]" << embs[i] << std::endl;
std::cout << "InDegree: " << inDegreeEmbeddings[i] << " TotalDegree: " << degreeEmbeddings[i] << std::endl;
}
/*std::cout << "SN Queue: " << std::endl;
while (!embQueue.empty())
{
T emb = embQueue.top();
emb.print();
std::cout << "value: " << emb.getNumberOfNeighbors() << std::endl;
embQueue.pop();
}*/
}
template <class T>
int SuperEmbedding<T>::getQueueSize() {
return embQueue.size();
}
template <class T>
int SuperEmbedding<T>::getQueueMaxSize() {
return embQueue.getMaxSize();
}
template <class T>
void SuperEmbedding<T>::setQueueMaxSize(int s) {
embQueue.setMaxSize(s);
}
template <class T>
TopQueue<T, CompareEmbeddings>& SuperEmbedding<T>::getEmbeddingQueue() {
return embQueue;
}
template <class T>
T SuperEmbedding<T>::getRandomEmbedding() {
std::vector<T> embs = embQueue.getVector();
int n = Randness::instance().get_a_random_number(0, embs.size());
return embs[n];
}
template <class T>
T SuperEmbedding<T>::getBiasedEmbedding() {
double total=0;
int n=0;
std::vector<T> embs = embQueue.getVector();
for (int i = 0; i < (int) embs.size(); i++) {
double prob = Randness::instance().random_uni01();
double w = degreeEmbeddings[i];
//int w = inDegreeEmbeddings[i] + degreeEmbeddings[i];
if (w == 0) continue;
if (prob < (double) w/(total+w)) {
n = i;
}
total+=w;
}
return embs[n];
}
template <class T>
std::pair<T,bool> SuperEmbedding<T>::getBiasedEmbeddingWithExternalDegree() {
double total=0;
int n=0;
std::vector<T> embs = embQueue.getVector();
for (int i = 0; i < (int) embs.size(); i++) {
double prob = Randness::instance().random_uni01();
double w = degreeEmbeddings[i]-inDegreeEmbeddings[i];
if (w == 0) continue;
if (prob < (double) w/(total+w)) {
n = i;
}
total+=w;
}
return std::pair<T,bool> (embs[n],total>0);
}
template <class T>
void SuperEmbedding<T>::setExternalDegreeOfEmbedding(T& embedding, double degree) {
size_t code = embedding.getHash();
std::unordered_map<size_t, int>::iterator ret = code2index.find(code);
if (ret==code2index.end()) {
return;
}
setExternalDegreeOfEmbedding(ret->second, degree);
}
template <class T>
void SuperEmbedding<T>::setExternalDegreeOfEmbedding(int embId, double degree) {
if (embId >= (int) embQueue.size()) {
std::cout << "problem in super node. number of embeddings and index conflit!" << std::endl;
exit(1);
}
if (degreeEmbeddings.size() < embQueue.size()) {
degreeEmbeddings.resize(embQueue.size(),0);
}
degreeEmbeddings[embId]=degree;
//degree+=edges;
}
template <class T>
void SuperEmbedding<T>::setInternalDegreeOfEmbedding(T& embedding, double degree) {
size_t code = embedding.getHash();
std::unordered_map<size_t, int>::iterator ret = code2index.find(code);
if (ret==code2index.end()) {
return;
}
setInternalDegreeOfEmbedding(ret->second, degree);
}
template <class T>
void SuperEmbedding<T>::setInternalDegreeOfEmbedding(int embId, double degree) {
if (embId >= (int) embQueue.size()) {
std::cout << "problem in super node. number of embeddings and index conflit!" << std::endl;
exit(1);
}
if (inDegreeEmbeddings.size() < embQueue.size()) {
inDegreeEmbeddings.resize(embQueue.size(),0);
}
inDegreeEmbeddings[embId]=degree;
//inDegree+=edges;
}
template <class T>
void SuperEmbedding<T>::updateEmbeddingCodeIndex() {
code2index.clear();
std::vector<T> &embs = embQueue.getVector();
for (int i = 0; i < (int) embs.size(); i++) {
size_t code = embs[i].getHash();
if (code2index.find(code)==code2index.end()) {
code2index.insert(std::make_pair(code, i));
}
}
}
template <class T>
void SuperEmbedding<T>::updateDegrees() {
neighborhood.clear();
std::vector<T> &embs = this->getEmbeddings();
double inDegreeTotal = 0;
double outDegreeTotal = 0;
for (int i = 0; i < (int) embs.size(); i++) {
std::vector<size_t> subsets = EmbeddingUtils::getSubsetWordsHash(embs[i]);
for (int j = 0; j < (int) subsets.size(); j++) {
std::unordered_map<size_t, std::vector<int>>::iterator it = neighborhood.find(subsets[j]);
if (it==neighborhood.end()) {
neighborhood.insert(std::make_pair(subsets[j], std::vector<int>({i})));
}
else {
it->second.push_back(i);
}
}
}
for (int i = 0; i < (int) embs.size(); i++) {
int inDegree = 0;
std::vector<size_t> subsets = EmbeddingUtils::getSubsetWordsHash(embs[i]);
for (int j = 0; j < (int) subsets.size(); j++) {
std::unordered_map<size_t, std::vector<int>>::iterator it = neighborhood.find(subsets[j]);
inDegree+=it->second.size();
}
inDegree-=embs[i].getNumWords();
int outDegree = embs[i].getDegree();
this->setInternalDegreeOfEmbedding(i, inDegree);
this->setExternalDegreeOfEmbedding(i, outDegree);
inDegreeTotal+=inDegree;
outDegreeTotal+=outDegree;
//std::cout << "#emb " << i << " ind " << inDegree << " outd " << outDegree << std::endl;
}
this->setExternalDegree(outDegreeTotal-inDegreeTotal);
this->setInternalDegree(inDegreeTotal/2.);
}
template <class T>
std::unordered_set<int> SuperEmbedding<T>::getEmbeddingsNeighborsIdx(T& e) {
//std::vector<T> &embs = this->getEmbeddings();
std::unordered_set<int> idxs;
std::vector<size_t> subsets = EmbeddingUtils::getSubsetWordsHash(e);
for (int j = 0; j < (int) subsets.size(); j++) {
std::unordered_map<size_t, std::vector<int>>::iterator it = neighborhood.find(subsets[j]);
if (it == neighborhood.end()) continue;
idxs.insert(it->second.begin(), it->second.end());
//for (auto &i : it->second)
// std::cout << "emb in sn1: " << embs[i] << std::endl;
}
return idxs;
}
template <class T>
T SuperEmbedding<T>::getRandomEmbeddingNeighbors(T& e) {
int n = 0;
int total =0;
std::vector<size_t> subsets = EmbeddingUtils::getSubsetWordsHash(e);
for (int j = 0; j < (int) subsets.size(); j++) {
std::unordered_map<size_t, std::vector<int>>::iterator it = neighborhood.find(subsets[j]);
double prob = Randness::instance().random_uni01();
double w = (double) it->second.size();
//int w = inDegreeEmbeddings[i] + degreeEmbeddings[i];
if (w == 0) continue;
if (prob < (double) w/(total+w)) {
n = j;
}
total+=w;
}
std::unordered_map<size_t, std::vector<int>>::iterator it = neighborhood.find(subsets[n]);
std::vector<T> &embs = this->getEmbeddings();
return embs[*(Randness::instance().random_element(it->second.begin(), it->second.end()))];
}
template <class T>
ModSet SuperEmbedding<T>::getModificationsToSN(T &e) {
ModSet mods;
std::vector<T> &embs = this->getEmbeddings();
std::unordered_set<int> idxs = getEmbeddingsNeighborsIdx(e);
for (auto &j : idxs) {
std::pair<Mod, bool> mod = e.getModificationTo(embs[j]);
//std::cout << "emb in sn2: " << embs[j] << std::endl;
if (mod.second) mods.insert(mod.first);
}
//if (mods.empty())
// std::cout << "warning : embedding is not a neighbor of SN." << std::endl;
return mods;
}
template class SuperEmbedding<EdgeInducedEmbedding>;
template class SuperEmbedding<VertexInducedEmbedding>;