Merge branch 'master' of https://github.com/tacgomes/yap6.3
This commit is contained in:
commit
b4b1e68c35
@ -2,7 +2,7 @@
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Interface to Horus Lifted Solvers. Used by:
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- Lifted Variable Elimination
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- Lifted First-Order Belief Propagation
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********************************************************/
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:- module(clpbn_horus_lifted,
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@ -236,7 +236,7 @@ CountingBp::createClusters (
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const VarNodes& groupVars = it->second;
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VarCluster* vc = new VarCluster (groupVars);
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for (size_t i = 0; i < groupVars.size(); i++) {
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vid2VarCluster_.insert (make_pair (groupVars[i]->varId(), vc));
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varClusterMap_.insert (make_pair (groupVars[i]->varId(), vc));
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}
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varClusters_.push_back (vc);
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}
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@ -250,7 +250,7 @@ CountingBp::createClusters (
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varClusters.reserve (neighs.size());
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for (size_t i = 0; i < neighs.size(); i++) {
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VarId vid = neighs[i]->varId();
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varClusters.push_back (vid2VarCluster_.find (vid)->second);
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varClusters.push_back (varClusterMap_.find (vid)->second);
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}
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facClusters_.push_back (new FacCluster (it->second, varClusters));
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}
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@ -294,8 +294,8 @@ CountingBp::getSignature (const FacNode* facNode)
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VarId
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CountingBp::getRepresentative (VarId vid)
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{
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assert (Util::contains (vid2VarCluster_, vid));
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VarCluster* vc = vid2VarCluster_.find (vid)->second;
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assert (Util::contains (varClusterMap_, vid));
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VarCluster* vc = varClusterMap_.find (vid)->second;
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return vc->representative()->varId();
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}
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@ -10,8 +10,6 @@
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class VarCluster;
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class FacCluster;
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class VarSignHash;
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class FacSignHash;
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class WeightedBp;
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typedef long Color;
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@ -22,40 +20,44 @@ typedef vector<Color> FacSignature;
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typedef unordered_map<unsigned, Color> DistColorMap;
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typedef unordered_map<unsigned, Colors> VarColorMap;
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typedef unordered_map<VarSignature, VarNodes, VarSignHash> VarSignMap;
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typedef unordered_map<FacSignature, FacNodes, FacSignHash> FacSignMap;
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typedef unordered_map<VarSignature, VarNodes> VarSignMap;
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typedef unordered_map<FacSignature, FacNodes> FacSignMap;
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typedef unordered_map<VarId, VarCluster*> VarClusterMap;
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typedef vector<VarCluster*> VarClusters;
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typedef vector<FacCluster*> FacClusters;
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typedef unordered_map<VarId, VarCluster*> VarId2VarCluster;
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struct VarSignHash
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template <class T>
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inline size_t hash_combine (size_t seed, const T& v)
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{
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size_t operator() (const VarSignature &sig) const
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{
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size_t val = hash<size_t>()(sig.size());
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for (size_t i = 0; i < sig.size(); i++) {
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val ^= hash<size_t>()(sig[i].first);
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val ^= hash<size_t>()(sig[i].second);
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}
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return val;
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}
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};
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return seed ^ (hash<T>()(v) + 0x9e3779b9 + (seed << 6) + (seed >> 2));
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}
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struct FacSignHash
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{
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size_t operator() (const FacSignature &sig) const
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namespace std {
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template <typename T1, typename T2> struct hash<std::pair<T1,T2>>
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{
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size_t val = hash<size_t>()(sig.size());
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for (size_t i = 0; i < sig.size(); i++) {
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val ^= hash<size_t>()(sig[i]);
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size_t operator() (const std::pair<T1,T2>& p) const
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{
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return hash_combine (std::hash<T1>()(p.first), p.second);
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}
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return val;
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}
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};
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};
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template <typename T> struct hash<std::vector<T>>
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{
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size_t operator() (const std::vector<T>& vec) const
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{
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size_t h = 0;
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typename vector<T>::const_iterator first = vec.begin();
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typename vector<T>::const_iterator last = vec.end();
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for (; first != last; ++first) {
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h = hash_combine (h, *first);
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}
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return h;
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}
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};
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}
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class VarCluster
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@ -72,8 +74,8 @@ class VarCluster
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void setRepresentative (VarNode* vn) { repr_ = vn; }
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private:
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VarNodes members_;
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VarNode* repr_;
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VarNodes members_;
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VarNode* repr_;
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};
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@ -86,17 +88,17 @@ class FacCluster
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const FacNode* first (void) const { return members_.front(); }
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const FacNodes& members (void) const { return members_; }
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VarClusters& varClusters (void) { return varClusters_; }
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FacNode* representative (void) const { return repr_; }
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void setRepresentative (FacNode* fn) { repr_ = fn; }
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VarClusters& varClusters (void) { return varClusters_; }
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private:
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FacNodes members_;
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VarClusters varClusters_;
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FacNode* repr_;
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VarClusters varClusters_;
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};
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@ -171,9 +173,9 @@ class CountingBp : public Solver
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Colors facColors_;
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VarClusters varClusters_;
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FacClusters facClusters_;
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VarId2VarCluster vid2VarCluster_;
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VarClusterMap varClusterMap_;
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const FactorGraph* compressedFg_;
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WeightedBp* solver_;
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WeightedBp* solver_;
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};
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#endif // HORUS_COUNTINGBP_H
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@ -184,26 +184,43 @@ ElimGraph::getLowestCostNode (void) const
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{
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EgNode* bestNode = 0;
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unsigned minCost = std::numeric_limits<unsigned>::max();
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unsigned cost = 0;
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EGNeighs::const_iterator it;
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switch (elimHeuristic) {
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case MIN_NEIGHBORS: {
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for (it = unmarked_.begin(); it != unmarked_.end(); ++ it) {
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cost = getNeighborsCost (*it);
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unsigned cost = getNeighborsCost (*it);
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if (cost < minCost) {
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bestNode = *it;
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minCost = cost;
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}
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}}
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break;
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case MIN_WEIGHT:
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//cost = getWeightCost (unmarked_[i]);
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case MIN_WEIGHT: {
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for (it = unmarked_.begin(); it != unmarked_.end(); ++ it) {
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unsigned cost = getWeightCost (*it);
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if (cost < minCost) {
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bestNode = *it;
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minCost = cost;
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}
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}}
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break;
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case MIN_FILL:
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//cost = getFillCost (unmarked_[i]);
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case MIN_FILL: {
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for (it = unmarked_.begin(); it != unmarked_.end(); ++ it) {
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unsigned cost = getFillCost (*it);
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if (cost < minCost) {
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bestNode = *it;
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minCost = cost;
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}
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}}
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break;
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case WEIGHTED_MIN_FILL:
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//cost = getWeightedFillCost (unmarked_[i]);
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case WEIGHTED_MIN_FILL: {
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for (it = unmarked_.begin(); it != unmarked_.end(); ++ it) {
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unsigned cost = getWeightedFillCost (*it);
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if (cost < minCost) {
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bestNode = *it;
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minCost = cost;
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}
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}}
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break;
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default:
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assert (false);
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@ -130,9 +130,9 @@ class ElimGraph
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void connectAllNeighbors (const EgNode*);
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vector<EgNode*> nodes_;
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TinySet<EgNode*> unmarked_;
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unordered_map<VarId, EgNode*> varMap_;
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vector<EgNode*> nodes_;
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TinySet<EgNode*> unmarked_;
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unordered_map<VarId, EgNode*> varMap_;
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};
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#endif // HORUS_ELIMGRAPH_H
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@ -1,5 +1,3 @@
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- Find a way to decrease the time required to find an
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elimination order for variable elimination
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- Consider using hashs instead of vectors of colors to calculate the groups in
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counting bp
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