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-rw-r--r--geom_matching/wasserstein/include/auction_runner_gs.h6
-rw-r--r--geom_matching/wasserstein/include/auction_runner_jac.h28
-rw-r--r--geom_matching/wasserstein/include/basic_defs_ws.h5
-rw-r--r--geom_matching/wasserstein/include/def_debug_ws.h8
-rw-r--r--geom_matching/wasserstein/include/dnn/geometry/euclidean-fixed.h2
-rw-r--r--geom_matching/wasserstein/include/dnn/local/kd-tree.hpp9
-rw-r--r--geom_matching/wasserstein/include/dnn/parallel/tbb.h2
-rw-r--r--geom_matching/wasserstein/include/wasserstein.h36
-rw-r--r--geom_matching/wasserstein/src/auction_oracle.cpp57
-rw-r--r--geom_matching/wasserstein/src/auction_runner_gs.cpp61
-rw-r--r--geom_matching/wasserstein/src/auction_runner_jac.cpp52
-rw-r--r--geom_matching/wasserstein/src/basic_defs.cpp10
-rw-r--r--geom_matching/wasserstein/src/wasserstein.cpp65
13 files changed, 240 insertions, 101 deletions
diff --git a/geom_matching/wasserstein/include/auction_runner_gs.h b/geom_matching/wasserstein/include/auction_runner_gs.h
index 34a91e8..80aa9f0 100644
--- a/geom_matching/wasserstein/include/auction_runner_gs.h
+++ b/geom_matching/wasserstein/include/auction_runner_gs.h
@@ -76,8 +76,9 @@ public:
const double _initialEpsilon,
const double _epsFactor);
void setEpsilon(double newVal) { assert(epsilon > 0.0); epsilon = newVal; };
- double getEpsilon(void) const { return epsilon; }
- double getWassersteinDistance(void);
+ double getEpsilon() const { return epsilon; }
+ double getWassersteinDistance();
+ double getWassersteinCost();
static constexpr int maxIterNum { 25 }; // maximal number of iterations of epsilon-scaling
private:
// private data
@@ -94,6 +95,7 @@ private:
double epsilonCommonRatio; // next epsilon = current epsilon / epsilonCommonRatio
double weightAdjConst;
double wassersteinDistance;
+ double wassersteinCost;
// to get the 2 best items
std::unique_ptr<AuctionOracle> oracle;
#ifdef KEEP_UNASSIGNED_ORDERED
diff --git a/geom_matching/wasserstein/include/auction_runner_jac.h b/geom_matching/wasserstein/include/auction_runner_jac.h
index ae0cb56..22d42b0 100644
--- a/geom_matching/wasserstein/include/auction_runner_jac.h
+++ b/geom_matching/wasserstein/include/auction_runner_jac.h
@@ -45,12 +45,13 @@ using AuctionOracle = AuctionOracleKDTreeRestricted;
// 1. epsilonCommonRatio
// 2. maxIterNum
-class AuctionRunnerJak {
+class AuctionRunnerJac {
public:
- AuctionRunnerJak(const std::vector<DiagramPoint>& A, const std::vector<DiagramPoint>& B, const double q, const double _delta, const double _internal_p);
+ AuctionRunnerJac(const std::vector<DiagramPoint>& A, const std::vector<DiagramPoint>& B, const double q, const double _delta, const double _internal_p);
void setEpsilon(double newVal) { assert(epsilon > 0.0); epsilon = newVal; };
- double getEpsilon(void) const { return epsilon; }
- double getWassersteinDistance(void);
+ double getEpsilon() const { return epsilon; }
+ double getWassersteinDistance();
+ double getWassersteinCost();
static constexpr double epsilonCommonRatio { 5 }; // next epsilon = current epsilon / epsilonCommonRatio
static constexpr int maxIterNum { 25 }; // maximal number of iterations of epsilon-scaling
private:
@@ -66,6 +67,7 @@ private:
double internal_p;
double weightAdjConst;
double wassersteinDistance;
+ double wassersteinCost;
std::vector<IdxValPair> bidTable;
// to get the 2 best items
std::unique_ptr<AuctionOracle> oracle;
@@ -76,18 +78,18 @@ private:
// private methods
void assignGoodToBidder(const IdxType bidderIdx, const IdxType itemsIdx);
void assignToBestBidder(const IdxType itemsIdx);
- void clearBidTable(void);
- void runAuction(void);
- void runAuctionPhase(void);
+ void clearBidTable();
+ void runAuction();
+ void runAuctionPhase();
void submitBid(IdxType bidderIdx, const IdxValPair& itemsBidValuePair);
- void flushAssignment(void);
+ void flushAssignment();
// for debug only
- void sanityCheck(void);
- void printDebug(void);
- int countUnhappy(void);
- void printMatching(void);
- double getDistanceToQthPowerInternal(void);
+ void sanityCheck();
+ void printDebug();
+ int countUnhappy();
+ void printMatching();
+ double getDistanceToQthPowerInternal();
};
diff --git a/geom_matching/wasserstein/include/basic_defs_ws.h b/geom_matching/wasserstein/include/basic_defs_ws.h
index 9e9c4ec..365c3bd 100644
--- a/geom_matching/wasserstein/include/basic_defs_ws.h
+++ b/geom_matching/wasserstein/include/basic_defs_ws.h
@@ -33,7 +33,6 @@ derivative works thereof, in binary and source code form.
#include <cstddef>
#include <unordered_map>
#include <unordered_set>
-#include <iostream>
#include <string>
#include <assert.h>
@@ -58,7 +57,9 @@ struct Point {
bool operator!=(const Point& other) const;
Point(double ax, double ay) : x(ax), y(ay) {}
Point() : x(0.0), y(0.0) {}
+#ifndef FOR_R_TDA
friend std::ostream& operator<<(std::ostream& output, const Point p);
+#endif
};
struct DiagramPoint
@@ -76,7 +77,9 @@ struct DiagramPoint
bool isNormal(void) const { return type == NORMAL; }
double getRealX() const; // return the x-coord
double getRealY() const; // return the y-coord
+#ifndef FOR_R_TDA
friend std::ostream& operator<<(std::ostream& output, const DiagramPoint p);
+#endif
struct LexicographicCmp
{
diff --git a/geom_matching/wasserstein/include/def_debug_ws.h b/geom_matching/wasserstein/include/def_debug_ws.h
index 7323c18..6751556 100644
--- a/geom_matching/wasserstein/include/def_debug_ws.h
+++ b/geom_matching/wasserstein/include/def_debug_ws.h
@@ -25,12 +25,16 @@ derivative works thereof, in binary and source code form.
*/
-#ifndef DEF_DEBUG_H
-#define DEF_DEBUG_H
+#ifndef DEF_DEBUG_WS_H
+#define DEF_DEBUG_WS_H
//#define DEBUG_BOUND_MATCH
//#define DEBUG_NEIGHBOUR_ORACLE
//#define DEBUG_MATCHING
//#define DEBUG_AUCTION
+// This symbol should be defined only in the version
+// for R package TDA, to comply with some CRAN rules
+// like no usage of cout, cerr, cin, exit, etc.
+//#define FOR_R_TDA
#endif
diff --git a/geom_matching/wasserstein/include/dnn/geometry/euclidean-fixed.h b/geom_matching/wasserstein/include/dnn/geometry/euclidean-fixed.h
index a6ccef7..e2c5b44 100644
--- a/geom_matching/wasserstein/include/dnn/geometry/euclidean-fixed.h
+++ b/geom_matching/wasserstein/include/dnn/geometry/euclidean-fixed.h
@@ -7,7 +7,7 @@
#include <boost/serialization/access.hpp>
#include <boost/serialization/base_object.hpp>
-#include <iostream>
+//#include <iostream>
#include <fstream>
#include <string>
#include <sstream>
diff --git a/geom_matching/wasserstein/include/dnn/local/kd-tree.hpp b/geom_matching/wasserstein/include/dnn/local/kd-tree.hpp
index 151a4ad..6b0852c 100644
--- a/geom_matching/wasserstein/include/dnn/local/kd-tree.hpp
+++ b/geom_matching/wasserstein/include/dnn/local/kd-tree.hpp
@@ -6,6 +6,7 @@
#include <stack>
#include "../parallel/tbb.h"
+#include "def_debug_ws.h"
template<class T>
dnn::KDTree<T>::
@@ -127,13 +128,8 @@ search(PointHandle q, ResultsFunctor& rf) const
// TODO: use tbb::scalable_allocator for the queue
std::queue<KDTreeNode> nodes;
-
-
nodes.push(KDTreeNode(tree_.begin(), tree_.end(), 0));
-
- //std::cout << "started kdtree::search" << std::endl;
-
while (!nodes.empty())
{
HCIterator b, e; size_t i;
@@ -163,7 +159,6 @@ search(PointHandle q, ResultsFunctor& rf) const
nodes.push(KDTreeNode(b, m, i));
}
}
- //std::cout << "exited kdtree::search" << std::endl;
}
template<class T>
@@ -290,6 +285,7 @@ void
dnn::KDTree<T>::
printWeights(void)
{
+#ifndef FOR_R_TDA
std::cout << "weights_:" << std::endl;
for(const auto ph : indices_) {
std::cout << "idx = " << ph.second << ": (" << (ph.first)->at(0) << ", " << (ph.first)->at(1) << ") weight = " << weights_[ph.second] << std::endl;
@@ -298,6 +294,7 @@ printWeights(void)
for(size_t idx = 0; idx < subtree_weights_.size(); ++idx) {
std::cout << idx << " : " << subtree_weights_[idx] << std::endl;
}
+#endif
}
diff --git a/geom_matching/wasserstein/include/dnn/parallel/tbb.h b/geom_matching/wasserstein/include/dnn/parallel/tbb.h
index 4aa6805..64c59e0 100644
--- a/geom_matching/wasserstein/include/dnn/parallel/tbb.h
+++ b/geom_matching/wasserstein/include/dnn/parallel/tbb.h
@@ -1,7 +1,7 @@
#ifndef PARALLEL_H
#define PARALLEL_H
-#include <iostream>
+//#include <iostream>
#include <vector>
#include <boost/range.hpp>
diff --git a/geom_matching/wasserstein/include/wasserstein.h b/geom_matching/wasserstein/include/wasserstein.h
index 38ac6bd..fcc9e74 100644
--- a/geom_matching/wasserstein/include/wasserstein.h
+++ b/geom_matching/wasserstein/include/wasserstein.h
@@ -49,6 +49,15 @@ double wassersteinDistVec(const std::vector<DiagramPoint>& A,
const double _initialEpsilon = 0.0,
const double _epsFactor = 0.0);
+// get Wasserstein cost (distance^q) between two persistence diagrams
+double wassersteinCostVec(const std::vector<DiagramPoint>& A,
+ const std::vector<DiagramPoint>& B,
+ const double q,
+ const double delta,
+ const double _internal_p = std::numeric_limits<double>::infinity(),
+ const double _initialEpsilon = 0.0,
+ const double _epsFactor = 0.0);
+
// compare as multisets
template<class PairContainer>
@@ -98,6 +107,33 @@ double wassersteinDist(PairContainer& A, PairContainer& B, const double q, const
return wassersteinDistVec(dgmA, dgmB, q, delta, _internal_p, _initialEpsilon, _epsFactor);
}
+template<class PairContainer>
+double wassersteinCost(PairContainer& A, PairContainer& B, const double q, const double delta, const double _internal_p = std::numeric_limits<double>::infinity(), const double _initialEpsilon = 0.0, const double _epsFactor = 0.0)
+{
+ if (areEqual(A, B)) {
+ return 0.0;
+ }
+
+ std::vector<DiagramPoint> dgmA, dgmB;
+ // loop over A, add projections of A-points to corresponding positions
+ // in B-vector
+ for(auto& pairA : A) {
+ double x = pairA.first;
+ double y = pairA.second;
+ dgmA.push_back(DiagramPoint(x, y, DiagramPoint::NORMAL));
+ dgmB.push_back(DiagramPoint(x, y, DiagramPoint::DIAG));
+ }
+ // the same for B
+ for(auto& pairB : B) {
+ double x = pairB.first;
+ double y = pairB.second;
+ dgmA.push_back(DiagramPoint(x, y, DiagramPoint::DIAG));
+ dgmB.push_back(DiagramPoint(x, y, DiagramPoint::NORMAL));
+ }
+
+ return wassersteinCostVec(dgmA, dgmB, q, delta, _internal_p, _initialEpsilon, _epsFactor);
+}
+
// fill in result with points from file fname
// return false if file can't be opened
diff --git a/geom_matching/wasserstein/src/auction_oracle.cpp b/geom_matching/wasserstein/src/auction_oracle.cpp
index 088936b..9c764da 100644
--- a/geom_matching/wasserstein/src/auction_oracle.cpp
+++ b/geom_matching/wasserstein/src/auction_oracle.cpp
@@ -68,8 +68,6 @@ AuctionOracleLazyHeap::AuctionOracleLazyHeap(const std::vector<DiagramPoint>& b,
weightMatrix.reserve(b.size());
//const double maxDistUpperBound = 3 * getFurthestDistance3Approx(b, g);
//weightAdjConst = pow(maxDistUpperBound, wassersteinPower);
- //std::cout << "3getFurthestDistance3Approx = " << getFurthestDistance3Approx(b, g) << std::endl;
- //std::cout << "in AuctionOracleLazyHeap weightAdjConst = " << weightAdjConst << std::endl;
// init weight matrix
for(const auto& pointA : bidders) {
std::vector<double> weightVec;
@@ -134,8 +132,10 @@ void AuctionOracleLazyHeap::setPrice(IdxType itemIdx, double newPrice)
{
assert( prices.at(itemIdx) < newPrice );
#ifdef DEBUG_AUCTION
+#ifndef FOR_R_TDA
std::cout << "price incremented by " << prices.at(itemIdx) - newPrice << std::endl;
#endif
+#endif
prices[itemIdx] = newPrice;
// lazy: record the moment we updated the price of the items,
// do not update queues.
@@ -169,8 +169,10 @@ DebugOptimalBid AuctionOracleLazyHeap::getOptimalBidDebug(IdxType bidderIdx)
result.secondBestItemValue = topIter->second;
result.secondBestItemIdx = topIter->first;
+#ifndef FOR_R_TDA
//std::cout << "getOptimalBid: bidderIdx = " << bidderIdx << "; bestItemIdx = " << bestItemIdx << "; bestItemValue = " << bestItemValue << "; bestItemsPrice = " << prices[bestItemIdx] << "; secondBestItemIdx = " << topIter->first << "; secondBestValue = " << secondBestItemValue << "; secondBestPrice = " << prices[topIter->first] << "; bid = " << prices[bestItemIdx] + ( bestItemValue - secondBestItemValue ) + epsilon << "; epsilon = " << epsilon << std::endl;
//std::cout << "getOptimalBid: bidderIdx = " << bidderIdx << "; bestItemIdx = " << bestItemIdx << "; bestItemsDist= " << (weightAdjConst - bestItemValue) << "; bestItemsPrice = " << prices[bestItemIdx] << "; secondBestItemIdx = " << topIter->first << "; secondBestDist= " << (weightAdjConst - secondBestItemValue) << "; secondBestPrice = " << prices[topIter->first] << "; bid = " << prices[bestItemIdx] + ( bestItemValue - secondBestItemValue ) + epsilon << "; epsilon = " << epsilon << std::endl;
+#endif
return result;
}
@@ -190,8 +192,10 @@ IdxValPair AuctionOracleLazyHeap::getOptimalBid(const IdxType bidderIdx)
++topIter; // now points to the second-best items
double secondBestItemValue = topIter->second;
+#ifndef FOR_R_TDA
//std::cout << "getOptimalBid: bidderIdx = " << bidderIdx << "; bestItemIdx = " << bestItemIdx << "; bestItemValue = " << bestItemValue << "; bestItemsPrice = " << prices[bestItemIdx] << "; secondBestItemIdx = " << topIter->first << "; secondBestValue = " << secondBestItemValue << "; secondBestPrice = " << prices[topIter->first] << "; bid = " << prices[bestItemIdx] + ( bestItemValue - secondBestItemValue ) + epsilon << "; epsilon = " << epsilon << std::endl;
//std::cout << "getOptimalBid: bidderIdx = " << bidderIdx << "; bestItemIdx = " << bestItemIdx << "; bestItemsDist= " << (weightAdjConst - bestItemValue) << "; bestItemsPrice = " << prices[bestItemIdx] << "; secondBestItemIdx = " << topIter->first << "; secondBestDist= " << (weightAdjConst - secondBestItemValue) << "; secondBestPrice = " << prices[topIter->first] << "; bid = " << prices[bestItemIdx] + ( bestItemValue - secondBestItemValue ) + epsilon << "; epsilon = " << epsilon << std::endl;
+#endif
// bid value: price + value difference + epsilon
return std::make_pair(bestItemIdx,
@@ -221,8 +225,6 @@ AuctionOracleLazyHeapRestricted::AuctionOracleLazyHeapRestricted(const std::vect
weightMatrix.reserve(b.size());
//const double maxDistUpperBound = 3 * getFurthestDistance3Approx(b, g);
//weightAdjConst = pow(maxDistUpperBound, wassersteinPower);
- //std::cout << "3getFurthestDistance3Approx = " << getFurthestDistance3Approx(b, g) << std::endl;
- //std::cout << "in AuctionOracleLazyHeapRestricted weightAdjConst = " << weightAdjConst << std::endl;
// init weight matrix
for(const auto& pointA : bidders) {
std::vector<double> weightVec;
@@ -319,8 +321,10 @@ void AuctionOracleLazyHeapRestricted::setPrice(IdxType itemIdx, double newPrice)
{
assert( prices.at(itemIdx) < newPrice );
#ifdef DEBUG_AUCTION
+#ifndef FOR_R_TDA
std::cout << "price incremented by " << prices.at(itemIdx) - newPrice << std::endl;
#endif
+#endif
prices[itemIdx] = newPrice;
if (items[itemIdx].isNormal() ) {
// lazy: record the moment we updated the price of the items,
@@ -426,7 +430,6 @@ DebugOptimalBid AuctionOracleLazyHeapRestricted::getOptimalBidDebug(IdxType bidd
//debugNaiveResult.secondBestItemIdx = itemIdx;
//}
//}
- ////std::cout << "got naive result" << std::endl;
//if ( fabs( debugMyResult.bestItemValue - debugNaiveResult.bestItemValue ) > 1e-6 or
//fabs( debugNaiveResult.secondBestItemValue - debugMyResult.secondBestItemValue) > 1e-6 ) {
@@ -648,7 +651,6 @@ AuctionOracleKDTree::AuctionOracleKDTree(const std::vector<DiagramPoint>& _bidde
}
DnnTraits traits;
traits.internal_p = internal_p;
- //std::cout << "kdtree: " << dnnPointHandles.size() << " points" << std::endl;
kdtree = new dnn::KDTree<DnnTraits>(traits, dnnPointHandles, wassersteinPower);
size_t dnnItemIdxAll { 0 };
@@ -658,7 +660,6 @@ AuctionOracleKDTree::AuctionOracleKDTree(const std::vector<DiagramPoint>& _bidde
DnnPoint p(dnnItemIdxAll++);
p[0] = g.getRealX();
p[1] = g.getRealY();
- //std::cout << "to all tree: " << p[0] << ", " << p[1] << std::endl;
dnnPointsAll.push_back(p);
assert(dnnItemIdxAll == dnnPointsAll.size());
}
@@ -666,7 +667,6 @@ AuctionOracleKDTree::AuctionOracleKDTree(const std::vector<DiagramPoint>& _bidde
for(size_t i = 0; i < dnnPointsAll.size(); ++i) {
dnnPointHandlesAll.push_back(&dnnPointsAll[i]);
}
- //std::cout << "kdtreeAll: " << dnnPointHandlesAll.size() << " points" << std::endl;
kdtreeAll = new dnn::KDTree<DnnTraits>(traits, dnnPointHandlesAll, wassersteinPower);
size_t handleIdx {0};
@@ -677,13 +677,9 @@ AuctionOracleKDTree::AuctionOracleKDTree(const std::vector<DiagramPoint>& _bidde
}
}
//to-do: remove maxVal from
- //std::cout << "3getFurthestDistance3Approx = " << getFurthestDistance3Approx(_bidders, _items) << std::endl;
maxVal = 3*getFurthestDistance3Approx(_bidders, _items);
maxVal = pow(maxVal, wassersteinPower);
weightAdjConst = maxVal;
- //std::cout << "AuctionOracleKDTree: weightAdjConst = " << weightAdjConst << std::endl;
- //std::cout << "AuctionOracleKDTree constructor done" << std::endl;
- // for debug
}
DebugOptimalBid AuctionOracleKDTree::getOptimalBidDebug(IdxType bidderIdx)
@@ -694,16 +690,12 @@ DebugOptimalBid AuctionOracleKDTree::getOptimalBidDebug(IdxType bidderIdx)
bidderDnn[0] = bidder.getRealX();
bidderDnn[1] = bidder.getRealY();
- //std::cout << "bidder.x = " << bidderDnn[0] << std::endl;
- //std::cout << "bidder.y = " << bidderDnn[1] << std::endl;
-
std::vector<IdxValPair> candItems;
if ( bidder.isDiagonal() ) {
//
auto twoBestItems = kdtree->findK(bidderDnn, 2);
- //std::cout << "twoBestItems for non-diag: " << twoBestItems[0].d << " " << twoBestItems[1].d << std::endl;
candItems.push_back( std::make_pair(twoBestItems[0].p->id(), twoBestItems[0].d) );
candItems.push_back( std::make_pair(twoBestItems[1].p->id(), twoBestItems[1].d) );
assert(diagItemsHeap.size() > 1);
@@ -719,7 +711,6 @@ DebugOptimalBid AuctionOracleKDTree::getOptimalBidDebug(IdxType bidderIdx)
assert(candItems[1].second >= candItems[0].second);
} else {
auto twoBestItems = kdtreeAll->findK(bidderDnn, 2);
- //std::cout << "twoBestItems for all: " << twoBestItems[0].d << " " << twoBestItems[1].d << std::endl;
candItems.push_back( std::make_pair(twoBestItems[0].p->id(), twoBestItems[0].d) );
candItems.push_back( std::make_pair(twoBestItems[1].p->id(), twoBestItems[1].d) );
//size_t projItemIdx { biddersProjIndices.at(bidderIdx) };
@@ -734,7 +725,6 @@ DebugOptimalBid AuctionOracleKDTree::getOptimalBidDebug(IdxType bidderIdx)
result.secondBestItemIdx = candItems[1].first;
result.bestItemValue = candItems[0].second;
result.secondBestItemValue = candItems[1].second;
- //std::cout << "got result: " << result << std::endl;
//double bestItemsPrice = prices[bestItemIdx];
//if (items[result.bestItemIdx].type == DiagramPoint::DIAG) {
//double bestItemValue1 = pow( distLp(bidder, items[result.bestItemIdx]), q) + prices[result.bestItemIdx];
@@ -820,18 +810,12 @@ void AuctionOracleKDTree::setPrice(IdxType itemIdx, double newPrice)
assert(newPrice > prices.at(itemIdx));
prices[itemIdx] = newPrice;
if ( items[itemIdx].isNormal() ) {
- //std::cout << "before increasing weight in kdtree " << std::endl;
- //std::cout << kdtreeItems.at(itemIdx) << std::endl;
assert(0 <= itemIdx and itemIdx < kdtreeItems.size());
assert(0 <= kdtreeItems[itemIdx] and kdtreeItems[itemIdx] < dnnPointHandles.size());
kdtree->increase_weight( dnnPointHandles[kdtreeItems[itemIdx]], newPrice);
kdtreeAll->increase_weight( dnnPointHandlesAll[itemIdx], newPrice);
- //std::cout << "after increasing weight in kdtree" << std::endl;
} else {
- //std::cout << "before decreasing weight in heap" << std::endl;
- //std::cout << "diagHeapHandles.size = " << diagHeapHandles.size() << std::endl;
kdtreeAll->increase_weight( dnnPointHandlesAll[itemIdx], newPrice);
- //std::cout << "after increasing weight in kdtree" << std::endl;
assert(diagHeapHandles.size() > heapHandlesIndices.at(itemIdx));
diagItemsHeap.decrease(diagHeapHandles[heapHandlesIndices[itemIdx]], std::make_pair(itemIdx, newPrice));
}
@@ -986,7 +970,6 @@ AuctionOracleKDTreeRestricted::AuctionOracleKDTreeRestricted(const std::vector<D
dnnPointHandles.push_back(&dnnPoints[i]);
}
DnnTraits traits;
- //std::cout << "kdtree: " << dnnPointHandles.size() << " points" << std::endl;
kdtree = new dnn::KDTree<DnnTraits>(traits, dnnPointHandles, wassersteinPower);
size_t handleIdx {0};
@@ -997,12 +980,9 @@ AuctionOracleKDTreeRestricted::AuctionOracleKDTreeRestricted(const std::vector<D
}
}
//to-do: remove maxVal from
- //std::cout << "3getFurthestDistance3Approx = " << getFurthestDistance3Approx(_bidders, _items) << std::endl;
maxVal = 3*getFurthestDistance3Approx(_bidders, _items);
maxVal = pow(maxVal, wassersteinPower);
weightAdjConst = maxVal;
- //std::cout << "AuctionOracleKDTreeRestricted: weightAdjConst = " << weightAdjConst << std::endl;
- //std::cout << "AuctionOracleKDTreeRestricted constructor done" << std::endl;
}
DebugOptimalBid AuctionOracleKDTreeRestricted::getOptimalBidDebug(IdxType bidderIdx)
@@ -1010,9 +990,6 @@ DebugOptimalBid AuctionOracleKDTreeRestricted::getOptimalBidDebug(IdxType bidder
DebugOptimalBid result;
DiagramPoint bidder = bidders[bidderIdx];
- //std::cout << "bidder.x = " << bidderDnn[0] << std::endl;
- //std::cout << "bidder.y = " << bidderDnn[1] << std::endl;
-
// corresponding point is always considered as a candidate
// if bidder is a diagonal point, projItem is a normal point,
// and vice versa.
@@ -1064,7 +1041,6 @@ DebugOptimalBid AuctionOracleKDTreeRestricted::getOptimalBidDebug(IdxType bidder
bidderDnn[0] = bidder.getRealX();
bidderDnn[1] = bidder.getRealY();
auto twoBestItems = kdtree->findK(bidderDnn, 2);
- //std::cout << "twoBestItems for all: " << twoBestItems[0].d << " " << twoBestItems[1].d << std::endl;
size_t bestNormalItemIdx { twoBestItems[0].p->id() };
double bestNormalItemValue { twoBestItems[0].d };
size_t secondBestNormalItemIdx { twoBestItems[1].p->id() };
@@ -1162,9 +1138,6 @@ IdxValPair AuctionOracleKDTreeRestricted::getOptimalBid(IdxType bidderIdx)
DiagramPoint bidder = bidders[bidderIdx];
- //std::cout << "bidder.x = " << bidderDnn[0] << std::endl;
- //std::cout << "bidder.y = " << bidderDnn[1] << std::endl;
-
// corresponding point is always considered as a candidate
// if bidder is a diagonal point, projItem is a normal point,
// and vice versa.
@@ -1226,7 +1199,6 @@ IdxValPair AuctionOracleKDTreeRestricted::getOptimalBid(IdxType bidderIdx)
bidderDnn[0] = bidder.getRealX();
bidderDnn[1] = bidder.getRealY();
auto twoBestItems = kdtree->findK(bidderDnn, 2);
- //std::cout << "twoBestItems for all: " << twoBestItems[0].d << " " << twoBestItems[1].d << std::endl;
size_t bestNormalItemIdx { twoBestItems[0].p->id() };
double bestNormalItemValue { twoBestItems[0].d };
// if there is only one off-diagonal point in the second diagram,
@@ -1268,15 +1240,10 @@ void AuctionOracleKDTreeRestricted::setPrice(IdxType itemIdx, double newPrice)
assert(newPrice > prices.at(itemIdx));
prices[itemIdx] = newPrice;
if ( items[itemIdx].isNormal() ) {
- //std::cout << "before increasing weight in kdtree " << std::endl;
- //std::cout << kdtreeItems.at(itemIdx) << std::endl;
assert(0 <= itemIdx and itemIdx < kdtreeItems.size());
assert(0 <= kdtreeItems[itemIdx] and kdtreeItems[itemIdx] < dnnPointHandles.size());
kdtree->increase_weight( dnnPointHandles[kdtreeItems[itemIdx]], newPrice);
- //std::cout << "after increasing weight in kdtree" << std::endl;
} else {
- //std::cout << "before decreasing weight in heap" << std::endl;
- //std::cout << "diagHeapHandles.size = " << diagHeapHandles.size() << std::endl;
assert(diagHeapHandles.size() > heapHandlesIndices.at(itemIdx));
diagItemsHeap.decrease(diagHeapHandles[heapHandlesIndices[itemIdx]], std::make_pair(itemIdx, newPrice));
bestDiagonalItemsComputed = false;
@@ -1300,10 +1267,10 @@ void AuctionOracleKDTreeRestricted::setEpsilon(double newVal)
std::ostream& operator<< (std::ostream& output, const DebugOptimalBid& db)
{
- std::cout << "bestItemValue = " << db.bestItemValue;
- std::cout << "; bestItemIdx = " << db.bestItemIdx;
- std::cout << "; secondBestItemValue = " << db.secondBestItemValue;
- std::cout << "; secondBestItemIdx = " << db.secondBestItemIdx;
+ output << "bestItemValue = " << db.bestItemValue;
+ output << "; bestItemIdx = " << db.bestItemIdx;
+ output << "; secondBestItemValue = " << db.secondBestItemValue;
+ output << "; secondBestItemIdx = " << db.secondBestItemIdx;
return output;
}
diff --git a/geom_matching/wasserstein/src/auction_runner_gs.cpp b/geom_matching/wasserstein/src/auction_runner_gs.cpp
index 4ff495f..bd25442 100644
--- a/geom_matching/wasserstein/src/auction_runner_gs.cpp
+++ b/geom_matching/wasserstein/src/auction_runner_gs.cpp
@@ -27,6 +27,7 @@ derivative works thereof, in binary and source code form.
#include <assert.h>
+#include <stdexcept>
#include <algorithm>
#include <functional>
#include <iterator>
@@ -36,6 +37,10 @@ derivative works thereof, in binary and source code form.
#include "auction_runner_gs.h"
#include "wasserstein.h"
+#ifdef FOR_R_TDA
+#include "Rcpp.h"
+#endif
+
//#define PRINT_DETAILED_TIMING
namespace geom_ws {
@@ -144,12 +149,14 @@ void AuctionRunnerGS::runAuction(void)
double denominator = currentResult - numBidders * oracle->getEpsilon();
currentResult = pow(currentResult, 1.0 / wassersteinPower);
#ifdef PRINT_DETAILED_TIMING
+#ifndef FOR_R_TDA
iterResults.push_back(currentResult);
iterTimes.push_back(hrClock.now());
std::cout << "Iteration " << iterNum << " finished. ";
std::cout << "Current result is " << currentResult << ", epsilon = " << oracle->getEpsilon() << std::endl;
std::cout << "Number of rounds (cumulative): " << numRounds << std::endl;
#endif
+#endif
if ( denominator <= 0 ) {
//std::cout << "Epsilon is too big." << std::endl;
notDone = true;
@@ -157,22 +164,27 @@ void AuctionRunnerGS::runAuction(void)
denominator = pow(denominator, 1.0 / wassersteinPower);
double numerator = currentResult - denominator;
#ifdef PRINT_DETAILED_TIMING
+#ifndef FOR_R_TDA
std::cout << " numerator: " << numerator << " denominator: " << denominator;
std::cout << "; error bound: " << numerator / denominator << std::endl;
#endif
+#endif
// if relative error is greater than delta, continue
notDone = ( numerator / denominator > delta );
}
// decrease epsilon for the next iteration
oracle->setEpsilon( oracle->getEpsilon() / epsilonCommonRatio );
if (iterNum > maxIterNum) {
+#ifndef FOR_R_TDA
std::cerr << "Maximum iteration number exceeded, exiting. Current result is:";
std::cerr << wassersteinDistance << std::endl;
- std::exit(1);
+#endif
+ throw std::runtime_error("Maximum iteration number exceeded");
}
} while ( notDone );
//printMatching();
#ifdef PRINT_DETAILED_TIMING
+#ifndef FOR_R_TDA
for(size_t iterIdx = 0; iterIdx < iterResults.size(); ++iterIdx) {
double trueRelError = ( iterResults.at(iterIdx) - currentResult ) / currentResult;
auto iterCumulativeTime = iterTimes.at(iterIdx) - startMoment;
@@ -183,6 +195,7 @@ void AuctionRunnerGS::runAuction(void)
", iteration time " << iterTime.count() << std::endl;
}
#endif
+#endif
}
void AuctionRunnerGS::runAuctionPhase(void)
@@ -200,15 +213,22 @@ void AuctionRunnerGS::runAuctionPhase(void)
assignItemToBidder(optimalBid.first, bidderIdx);
oracle->setPrice(optimalItemIdx, bidValue);
//printDebug();
+#ifdef FOR_R_TDA
+ if ( numRounds % 10000 == 0 ) {
+ Rcpp::checkUserInterrupt();
+ }
+#endif
} while (not unassignedBidders.empty());
//std::cout << "runAuctionPhase finished" << std::endl;
#ifdef DEBUG_AUCTION
for(size_t bidderIdx = 0; bidderIdx < numBidders; ++bidderIdx) {
if ( biddersToItems[bidderIdx] < 0) {
+#ifndef FOR_R_TDA
std::cerr << "After auction terminated bidder " << bidderIdx;
std::cerr << " has no items assigned" << std::endl;
- throw "Auction did not give a perfect matching";
+#endif
+ throw std::runtime_error("Auction did not give a perfect matching");
}
}
#endif
@@ -225,6 +245,7 @@ double AuctionRunnerGS::getDistanceToQthPowerInternal(void)
auto pB = items[biddersToItems[bIdx]];
result += pow(distLp(pA, pB, internal_p), wassersteinPower);
}
+ wassersteinCost = result;
wassersteinDistance = pow(result, 1.0 / wassersteinPower);
return result;
}
@@ -235,11 +256,20 @@ double AuctionRunnerGS::getWassersteinDistance(void)
return wassersteinDistance;
}
+double AuctionRunnerGS::getWassersteinCost(void)
+{
+ runAuction();
+ return wassersteinCost;
+}
+
+
+
// Debug routines
void AuctionRunnerGS::printDebug(void)
{
#ifdef DEBUG_AUCTION
+#ifndef FOR_R_TDA
sanityCheck();
std::cout << "**********************" << std::endl;
std::cout << "Current assignment:" << std::endl;
@@ -259,6 +289,7 @@ void AuctionRunnerGS::printDebug(void)
}
std::cout << "**********************" << std::endl;
#endif
+#endif
}
@@ -266,13 +297,17 @@ void AuctionRunnerGS::sanityCheck(void)
{
#ifdef DEBUG_AUCTION
if (biddersToItems.size() != numBidders) {
+#ifndef FOR_R_TDA
std::cerr << "Wrong size of biddersToItems, must be " << numBidders << ", is " << biddersToItems.size() << std::endl;
- throw "Wrong size of biddersToItems";
+#endif
+ throw std::runtime_error("Wrong size of biddersToItems");
}
if (itemsToBidders.size() != numBidders) {
+#ifndef FOR_R_TDA
std::cerr << "Wrong size of itemsToBidders, must be " << numBidders << ", is " << itemsToBidders.size() << std::endl;
- throw "Wrong size of itemsToBidders";
+#endif
+ throw std::runtime_error("Wrong size of itemsToBidders");
}
for(size_t bidderIdx = 0; bidderIdx < numBidders; ++bidderIdx) {
@@ -281,18 +316,22 @@ void AuctionRunnerGS::sanityCheck(void)
if ( std::count(biddersToItems.begin(),
biddersToItems.end(),
biddersToItems[bidderIdx]) > 1 ) {
+#ifndef FOR_R_TDA
std::cerr << "Item " << biddersToItems[bidderIdx];
std::cerr << " appears in biddersToItems more than once" << std::endl;
- throw "Duplicate in biddersToItems";
+#endif
+ throw std::runtime_error("Duplicate in biddersToItems");
}
if (itemsToBidders.at(biddersToItems[bidderIdx]) != static_cast<int>(bidderIdx)) {
+#ifndef FOR_R_TDA
std::cerr << "Inconsitency: bidderIdx = " << bidderIdx;
std::cerr << ", itemIdx in biddersToItems = ";
std::cerr << biddersToItems[bidderIdx];
std::cerr << ", bidderIdx in itemsToBidders = ";
std::cerr << itemsToBidders[biddersToItems[bidderIdx]] << std::endl;
- throw "inconsistent mapping";
+#endif
+ throw std::runtime_error("inconsistent mapping");
}
}
}
@@ -304,18 +343,22 @@ void AuctionRunnerGS::sanityCheck(void)
if ( std::count(itemsToBidders.begin(),
itemsToBidders.end(),
itemsToBidders[itemIdx]) > 1 ) {
+#ifndef FOR_R_TDA
std::cerr << "Bidder " << itemsToBidders[itemIdx];
std::cerr << " appears in itemsToBidders more than once" << std::endl;
- throw "Duplicate in itemsToBidders";
+#endif
+ throw std::runtime_error("Duplicate in itemsToBidders");
}
// check for consistency
if (biddersToItems.at(itemsToBidders[itemIdx]) != static_cast<int>(itemIdx)) {
+#ifndef FOR_R_TDA
std::cerr << "Inconsitency: itemIdx = " << itemIdx;
std::cerr << ", bidderIdx in itemsToBidders = ";
std::cerr << itemsToBidders[itemIdx];
std::cerr << ", itemIdx in biddersToItems= ";
std::cerr << biddersToItems[itemsToBidders[itemIdx]] << std::endl;
- throw "inconsistent mapping";
+#endif
+ throw std::runtime_error("inconsistent mapping");
}
}
}
@@ -325,6 +368,7 @@ void AuctionRunnerGS::sanityCheck(void)
void AuctionRunnerGS::printMatching(void)
{
//#ifdef DEBUG_AUCTION
+#ifndef FOR_R_TDA
sanityCheck();
for(size_t bIdx = 0; bIdx < biddersToItems.size(); ++bIdx) {
if (biddersToItems[bIdx] >= 0) {
@@ -335,6 +379,7 @@ void AuctionRunnerGS::printMatching(void)
assert(false);
}
}
+#endif
//#endif
}
diff --git a/geom_matching/wasserstein/src/auction_runner_jac.cpp b/geom_matching/wasserstein/src/auction_runner_jac.cpp
index 08ed202..b892643 100644
--- a/geom_matching/wasserstein/src/auction_runner_jac.cpp
+++ b/geom_matching/wasserstein/src/auction_runner_jac.cpp
@@ -37,10 +37,10 @@ derivative works thereof, in binary and source code form.
namespace geom_ws {
// *****************************
-// AuctionRunnerJak
+// AuctionRunnerJac
// *****************************
-AuctionRunnerJak::AuctionRunnerJak(const std::vector<DiagramPoint>& A, const std::vector<DiagramPoint>& B, const double q, const double _delta, const double _internal_p) :
+AuctionRunnerJac::AuctionRunnerJac(const std::vector<DiagramPoint>& A, const std::vector<DiagramPoint>& B, const double q, const double _delta, const double _internal_p) :
bidders(A),
items(B),
numBidders(A.size()),
@@ -57,7 +57,7 @@ AuctionRunnerJak::AuctionRunnerJak(const std::vector<DiagramPoint>& A, const std
oracle = std::unique_ptr<AuctionOracle>(new AuctionOracle(bidders, items, wassersteinPower, internal_p));
}
-void AuctionRunnerJak::assignGoodToBidder(IdxType itemIdx, IdxType bidderIdx)
+void AuctionRunnerJac::assignGoodToBidder(IdxType itemIdx, IdxType bidderIdx)
{
//sanityCheck();
IdxType myOldItem = biddersToItems[bidderIdx];
@@ -79,7 +79,9 @@ void AuctionRunnerJak::assignGoodToBidder(IdxType itemIdx, IdxType bidderIdx)
// RE: this cannot be necessary. I submitted the best bid, hence I was
// an unassigned bidder.
if (myOldItem != -1) {
+#ifndef FOR_R_TDA
std::cout << "This is not happening" << std::endl;
+#endif
assert(false);
itemsToBidders[myOldItem] = -1;
}
@@ -88,7 +90,9 @@ void AuctionRunnerJak::assignGoodToBidder(IdxType itemIdx, IdxType bidderIdx)
biddersToItems[currItemOwner] = myOldItem;
// add the old owner of bids to the list of
if ( -1 != myOldItem ) {
+#ifndef FOR_R_TDA
std::cout << "This is not happening" << std::endl;
+#endif
assert(false);
// if I had something, update itemsToBidders, too
// RE: nonsense: if I had something, I am not unassigned and did not
@@ -103,18 +107,17 @@ void AuctionRunnerJak::assignGoodToBidder(IdxType itemIdx, IdxType bidderIdx)
}
-void AuctionRunnerJak::assignToBestBidder(IdxType itemIdx)
+void AuctionRunnerJac::assignToBestBidder(IdxType itemIdx)
{
assert( itemIdx >= 0 and itemIdx < static_cast<IdxType>(numItems) );
assert( bidTable[itemIdx].first != -1);
IdxValPair bestBid { bidTable[itemIdx] };
assignGoodToBidder(itemIdx, bestBid.first);
- //std::cout << "About to call setPrice" << std::endl;
oracle->setPrice(itemIdx, bestBid.second);
//dynamic_cast<AuctionOracleKDTree*>(oracle)->setNai
}
-void AuctionRunnerJak::clearBidTable(void)
+void AuctionRunnerJac::clearBidTable(void)
{
for(auto& itemWithBidIdx : itemsWithBids) {
itemReceivedBidVec[itemWithBidIdx] = 0;
@@ -124,7 +127,7 @@ void AuctionRunnerJak::clearBidTable(void)
itemsWithBids.clear();
}
-void AuctionRunnerJak::submitBid(IdxType bidderIdx, const IdxValPair& itemsBidValuePair)
+void AuctionRunnerJac::submitBid(IdxType bidderIdx, const IdxValPair& itemsBidValuePair)
{
IdxType itemIdx = itemsBidValuePair.first;
double bidValue = itemsBidValuePair.second;
@@ -139,9 +142,10 @@ void AuctionRunnerJak::submitBid(IdxType bidderIdx, const IdxValPair& itemsBidVa
}
}
-void AuctionRunnerJak::printDebug(void)
+void AuctionRunnerJac::printDebug(void)
{
#ifdef DEBUG_AUCTION
+#ifndef FOR_R_TDA
sanityCheck();
std::cout << "**********************" << std::endl;
std::cout << "Current assignment:" << std::endl;
@@ -168,9 +172,10 @@ void AuctionRunnerJak::printDebug(void)
//}
std::cout << "**********************" << std::endl;
#endif
+#endif
}
-void AuctionRunnerJak::flushAssignment(void)
+void AuctionRunnerJac::flushAssignment(void)
{
for(auto& b2g : biddersToItems) {
b2g = -1;
@@ -181,7 +186,7 @@ void AuctionRunnerJak::flushAssignment(void)
//oracle->adjustPrices();
}
-void AuctionRunnerJak::runAuction(void)
+void AuctionRunnerJac::runAuction(void)
{
// relative error
// choose some initial epsilon
@@ -213,15 +218,19 @@ void AuctionRunnerJak::runAuction(void)
// decrease epsilon for the next iteration
oracle->setEpsilon( oracle->getEpsilon() / epsilonCommonRatio );
if (iterNum > maxIterNum) {
+#ifndef FOR_R_TDA
std::cerr << "Maximum iteration number exceeded, exiting. Current result is:";
std::cerr << wassersteinDistance << std::endl;
std::exit(1);
+#else
+ throw std::runtime_error("Max. iter. exceeded");
+#endif
}
} while ( notDone );
//printMatching();
}
-void AuctionRunnerJak::runAuctionPhase(void)
+void AuctionRunnerJac::runAuctionPhase(void)
{
//std::cout << "Entered runAuctionPhase" << std::endl;
//int numUnassignedBidders { 0 };
@@ -266,7 +275,7 @@ void AuctionRunnerJak::runAuctionPhase(void)
}
// assertion: the matching must be perfect
-double AuctionRunnerJak::getDistanceToQthPowerInternal(void)
+double AuctionRunnerJac::getDistanceToQthPowerInternal(void)
{
sanityCheck();
double result = 0.0;
@@ -276,19 +285,29 @@ double AuctionRunnerJak::getDistanceToQthPowerInternal(void)
auto pB = items[biddersToItems[bIdx]];
result += pow(distLp(pA, pB, internal_p), wassersteinPower);
}
+ wassersteinCost = result;
wassersteinDistance = pow(result, 1.0 / wassersteinPower);
return result;
}
-double AuctionRunnerJak::getWassersteinDistance(void)
+double AuctionRunnerJac::getWassersteinDistance(void)
{
runAuction();
return wassersteinDistance;
}
-void AuctionRunnerJak::sanityCheck(void)
+double AuctionRunnerJac::getWassersteinCost(void)
+{
+ runAuction();
+ return wassersteinCost;
+}
+
+
+
+void AuctionRunnerJac::sanityCheck(void)
{
#ifdef DEBUG_AUCTION
+#ifndef FOR_R_TDA
if (biddersToItems.size() != numBidders) {
std::cerr << "Wrong size of biddersToItems, must be " << numBidders << ", is " << biddersToItems.size() << std::endl;
throw "Wrong size of biddersToItems";
@@ -344,11 +363,13 @@ void AuctionRunnerJak::sanityCheck(void)
}
}
#endif
+#endif
}
-void AuctionRunnerJak::printMatching(void)
+void AuctionRunnerJac::printMatching(void)
{
//#ifdef DEBUG_AUCTION
+#ifndef FOR_R_TDA
sanityCheck();
for(size_t bIdx = 0; bIdx < biddersToItems.size(); ++bIdx) {
if (biddersToItems[bIdx] >= 0) {
@@ -359,6 +380,7 @@ void AuctionRunnerJak::printMatching(void)
assert(false);
}
}
+#endif
//#endif
}
diff --git a/geom_matching/wasserstein/src/basic_defs.cpp b/geom_matching/wasserstein/src/basic_defs.cpp
index d228123..a46e6aa 100644
--- a/geom_matching/wasserstein/src/basic_defs.cpp
+++ b/geom_matching/wasserstein/src/basic_defs.cpp
@@ -30,6 +30,10 @@ derivative works thereof, in binary and source code form.
#include <set>
#include "basic_defs_ws.h"
+#ifndef FOR_R_TDA
+#include <iostream>
+#endif
+
namespace geom_ws {
// Point
@@ -43,11 +47,14 @@ bool Point::operator!=(const Point& other) const
return !(*this == other);
}
+
+#ifndef FOR_R_TDA
std::ostream& operator<<(std::ostream& output, const Point p)
{
output << "(" << p.x << ", " << p.y << ")";
return output;
}
+#endif
double sqrDist(const Point& a, const Point& b)
{
@@ -97,6 +104,7 @@ double distLp(const DiagramPoint& a, const DiagramPoint& b, const double p)
}
+#ifndef FOR_R_TDA
std::ostream& operator<<(std::ostream& output, const DiagramPoint p)
{
if ( p.type == DiagramPoint::DIAG ) {
@@ -106,7 +114,7 @@ std::ostream& operator<<(std::ostream& output, const DiagramPoint p)
}
return output;
}
-
+#endif
DiagramPoint::DiagramPoint(double xx, double yy, Type ttype) :
x(xx),
diff --git a/geom_matching/wasserstein/src/wasserstein.cpp b/geom_matching/wasserstein/src/wasserstein.cpp
index cac811b..fc1b662 100644
--- a/geom_matching/wasserstein/src/wasserstein.cpp
+++ b/geom_matching/wasserstein/src/wasserstein.cpp
@@ -36,7 +36,7 @@ derivative works thereof, in binary and source code form.
#ifdef GAUSS_SEIDEL_AUCTION
#include "auction_runner_gs.h"
#else
-#include "auction_runner_jak.h"
+#include "auction_runner_jac.h"
#endif
namespace geom_ws {
@@ -50,29 +50,78 @@ double wassersteinDistVec(const std::vector<DiagramPoint>& A,
const double _epsFactor)
{
if (q < 1) {
+#ifndef FOR_R_TDA
std::cerr << "Wasserstein distance not defined for q = " << q << ", must be >= 1" << std::endl;
- throw "Bad q in Wasserstein";
+#endif
+ throw std::runtime_error("Bad q in Wasserstein " + std::to_string(q));
}
if (delta < 0.0) {
+#ifndef FOR_R_TDA
std::cerr << "Relative error " << delta << ", must be > 0" << std::endl;
- throw "Bad delta in Wasserstein";
+#endif
+ throw std::runtime_error("Bad delta in Wasserstein " + std::to_string(delta));
}
if (_initialEpsilon < 0.0) {
+#ifndef FOR_R_TDA
std::cerr << "Initial epsilon = " << _initialEpsilon << ", must be non-negative" << std::endl;
- throw "Bad delta in Wasserstein";
+#endif
+ throw std::runtime_error("Bad initial epsilon in Wasserstein" + std::to_string(_initialEpsilon));
}
if (_epsFactor < 0.0) {
+#ifndef FOR_R_TDA
std::cerr << "Epsilon factor = " << _epsFactor << ", must be non-negative" << std::endl;
- throw "Bad delta in Wasserstein";
+#endif
+ throw std::runtime_error("Bad epsilon factor in Wasserstein " + std::to_string(_epsFactor));
}
+
#ifdef GAUSS_SEIDEL_AUCTION
AuctionRunnerGS auction(A, B, q, delta, _internal_p, _initialEpsilon, _epsFactor);
#else
- AuctionRunnerJak auction(A, B, q, delta, _internal_p);
+ AuctionRunnerJac auction(A, B, q, delta, _internal_p);
#endif
return auction.getWassersteinDistance();
}
+double wassersteinCostVec(const std::vector<DiagramPoint>& A,
+ const std::vector<DiagramPoint>& B,
+ const double q,
+ const double delta,
+ const double _internal_p,
+ const double _initialEpsilon,
+ const double _epsFactor)
+{
+ if (q < 1) {
+#ifndef FOR_R_TDA
+ std::cerr << "Wasserstein distance not defined for q = " << q << ", must be >= 1" << std::endl;
+#endif
+ throw std::runtime_error("Bad q in Wasserstein " + std::to_string(q));
+ }
+ if (delta < 0.0) {
+#ifndef FOR_R_TDA
+ std::cerr << "Relative error " << delta << ", must be > 0" << std::endl;
+#endif
+ throw std::runtime_error("Bad delta in Wasserstein " + std::to_string(delta));
+ }
+ if (_initialEpsilon < 0.0) {
+#ifndef FOR_R_TDA
+ std::cerr << "Initial epsilon = " << _initialEpsilon << ", must be non-negative" << std::endl;
+#endif
+ throw std::runtime_error("Bad initial epsilon in Wasserstein" + std::to_string(_initialEpsilon));
+ }
+ if (_epsFactor < 0.0) {
+#ifndef FOR_R_TDA
+ std::cerr << "Epsilon factor = " << _epsFactor << ", must be non-negative" << std::endl;
+#endif
+ throw std::runtime_error("Bad epsilon factor in Wasserstein " + std::to_string(_epsFactor));
+ }
+#ifdef GAUSS_SEIDEL_AUCTION
+ AuctionRunnerGS auction(A, B, q, delta, _internal_p, _initialEpsilon, _epsFactor);
+#else
+ AuctionRunnerJac auction(A, B, q, delta, _internal_p);
+#endif
+ return auction.getWassersteinCost();
+}
+
bool readDiagramPointSet(const std::string& fname, std::vector<std::pair<double, double>>& result)
{
return readDiagramPointSet(fname.c_str(), result);
@@ -84,7 +133,9 @@ bool readDiagramPointSet(const char* fname, std::vector<std::pair<double, double
result.clear();
std::ifstream f(fname);
if (!f.good()) {
+#ifndef FOR_R_TDA
std::cerr << "Cannot open file " << fname << std::endl;
+#endif
return false;
}
std::string line;
@@ -109,7 +160,9 @@ bool readDiagramPointSet(const char* fname, std::vector<std::pair<double, double
double x, y;
std::istringstream iss(line);
if (not(iss >> x >> y)) {
+#ifndef FOR_R_TDA
std::cerr << "Error in file " << fname << ", line number " << lineNumber << ": cannot parse \"" << line << "\"" << std::endl;
+#endif
return false;
}
result.push_back(std::make_pair(x,y));