Restoring authorship annotation for Vlad Yaroslavlev <vladon@vladon.com>. Commit 2 of 2.

9 files changed, 39 insertions, 39 deletions

diff --git a/library/cpp/histogram/adaptive/adaptive_histogram.cpp b/library/cpp/histogram/adaptive/adaptive_histogram.cpp
index 57dec4d608..cbfc494021 100644
--- a/library/cpp/histogram/adaptive/adaptive_histogram.cpp
+++ b/library/cpp/histogram/adaptive/adaptive_histogram.cpp
@@ -113,15 +113,15 @@ namespace NKiwiAggr {
         }
     }
 
-    void TAdaptiveHistogram::Merge(const TVector<THistogram>& histogramsToMerge) { 
+    void TAdaptiveHistogram::Merge(const TVector<THistogram>& histogramsToMerge) {
         for (size_t i = 0; i < histogramsToMerge.size(); ++i) {
             Merge(histogramsToMerge[i], 1.0);
         }
     }
 
-    void TAdaptiveHistogram::Merge(TVector<IHistogramPtr> histogramsToMerge) { 
-        TVector<IHistogramPtr> histogramsToMergeRepacked(0); 
-        TVector<TAdaptiveHistogram*> histograms(0); 
+    void TAdaptiveHistogram::Merge(TVector<IHistogramPtr> histogramsToMerge) {
+        TVector<IHistogramPtr> histogramsToMergeRepacked(0);
+        TVector<TAdaptiveHistogram*> histograms(0);
         for (size_t i = 0; i < histogramsToMerge.size(); ++i) {
             if (!histogramsToMerge[i] || histogramsToMerge[i]->Empty()) {
                 continue;
diff --git a/library/cpp/histogram/adaptive/adaptive_histogram.h b/library/cpp/histogram/adaptive/adaptive_histogram.h
index 3bb921e780..fa8f48433f 100644
--- a/library/cpp/histogram/adaptive/adaptive_histogram.h
+++ b/library/cpp/histogram/adaptive/adaptive_histogram.h
@@ -15,7 +15,7 @@ namespace NKiwiAggr {
         static const size_t DEFAULT_INTERVALS = 100;
 
     private:
-        using TPairSet = TSet<TWeightedValue>; 
+        using TPairSet = TSet<TWeightedValue>;
 
         struct TFastBin {
             // these names are for compatibility with TWeightedValue
@@ -47,7 +47,7 @@ namespace NKiwiAggr {
         TPairSet BinsByQuality;
         TQualityFunction CalcQuality;
 
-        TVector<TFastBin> PrecomputedBins; 
+        TVector<TFastBin> PrecomputedBins;
 
     public:
         TAdaptiveHistogram(size_t intervals, ui64 id = 0, TQualityFunction qualityFunc = CalcWeightQuality);
diff --git a/library/cpp/histogram/adaptive/auto_histogram.h b/library/cpp/histogram/adaptive/auto_histogram.h
index 21efc5cd3a..9fdf0b9abe 100644
--- a/library/cpp/histogram/adaptive/auto_histogram.h
+++ b/library/cpp/histogram/adaptive/auto_histogram.h
@@ -58,11 +58,11 @@ namespace NKiwiAggr {
             HistogramImpl->Merge(histo, multiplier);
         }
 
-        virtual void Merge(const TVector<THistogram>& histogramsToMerge) { 
+        virtual void Merge(const TVector<THistogram>& histogramsToMerge) {
             HistogramImpl->Merge(histogramsToMerge);
         }
 
-        virtual void Merge(TVector<IHistogramPtr> histogramsToMerge) { 
+        virtual void Merge(TVector<IHistogramPtr> histogramsToMerge) {
             HistogramImpl->Merge(histogramsToMerge);
         }
 
diff --git a/library/cpp/histogram/adaptive/block_histogram.cpp b/library/cpp/histogram/adaptive/block_histogram.cpp
index 51e418405b..6586d13ff6 100644
--- a/library/cpp/histogram/adaptive/block_histogram.cpp
+++ b/library/cpp/histogram/adaptive/block_histogram.cpp
@@ -16,12 +16,12 @@ namespace {
 
     class TSmartHeap {
     private:
-        TVector<ui32> A; 
-        TVector<ui32> Pos; 
-        const TVector<double>& Weights; 
+        TVector<ui32> A;
+        TVector<ui32> Pos;
+        const TVector<double>& Weights;
 
     public:
-        TSmartHeap(const TVector<double>& weights) 
+        TSmartHeap(const TVector<double>& weights)
             : A(weights.size())
             , Pos(weights.size())
             , Weights(weights)
@@ -182,7 +182,7 @@ namespace NKiwiAggr {
         }
     }
 
-    void TBlockHistogram::Merge(const TVector<THistogram>& histogramsToMerge) { 
+    void TBlockHistogram::Merge(const TVector<THistogram>& histogramsToMerge) {
         for (size_t i = 0; i < histogramsToMerge.size(); ++i) {
             Merge(histogramsToMerge[i], 1.0);
         }
@@ -190,7 +190,7 @@ namespace NKiwiAggr {
 
     void TBlockHistogram::Merge(TVector<IHistogramPtr> histogramsToMerge) {
         Y_UNUSED(histogramsToMerge);
-        ythrow yexception() << "IHistogram::Merge(TVector<IHistogramPtr>) is not defined for TBlockHistogram"; 
+        ythrow yexception() << "IHistogram::Merge(TVector<IHistogramPtr>) is not defined for TBlockHistogram";
     }
 
     void TBlockHistogram::Multiply(double factor) {
@@ -198,7 +198,7 @@ namespace NKiwiAggr {
             ythrow yexception() << "Not valid factor in IHistogram::Multiply(): " << factor;
         }
         Sum *= factor;
-        for (TVector<TWeightedValue>::iterator it = Bins.begin(); it != Bins.end(); ++it) { 
+        for (TVector<TWeightedValue>::iterator it = Bins.begin(); it != Bins.end(); ++it) {
             it->second *= factor;
         }
     }
@@ -255,7 +255,7 @@ namespace NKiwiAggr {
         SortAndShrink(Intervals, true);
         histo.SetMinValue(MinValue);
         histo.SetMaxValue(MaxValue);
-        for (TVector<TWeightedValue>::const_iterator it = Bins.begin(); it != Bins.end(); ++it) { 
+        for (TVector<TWeightedValue>::const_iterator it = Bins.begin(); it != Bins.end(); ++it) {
             histo.AddFreq(it->second);
             histo.AddPosition(it->first);
         }
@@ -311,7 +311,7 @@ namespace NKiwiAggr {
     void TBlockHistogram::SortBins() {
         Sort(Bins.begin() + PrevSize, Bins.end());
         if (PrevSize != 0) {
-            TVector<TWeightedValue> temp(Bins.begin(), Bins.begin() + PrevSize); 
+            TVector<TWeightedValue> temp(Bins.begin(), Bins.begin() + PrevSize);
             std::merge(temp.begin(), temp.end(), Bins.begin() + PrevSize, Bins.end(), Bins.begin());
         }
     }
@@ -367,7 +367,7 @@ namespace NKiwiAggr {
             bins[i].LinkAfter(&bins[i - 1]);
         }
 
-        TVector<double> pairWeights(n); 
+        TVector<double> pairWeights(n);
 
         for (ui32 i = 0; i < n; ++i) {
             pairWeights[i] = CalcQuality(Bins[i], Bins[i + 1]).first;
@@ -548,12 +548,12 @@ namespace NKiwiAggr {
             cumulatives.push_back(cumulative);
         }
 
-        TVector<TCumulatives::const_iterator> splits; 
+        TVector<TCumulatives::const_iterator> splits;
         splits.reserve(intervals + 1);
         splits.push_back(cumulatives.begin());
         splits.push_back(cumulatives.end() - 1);
 
-        TPriorityQueue<TSplitInfo> candidates; 
+        TPriorityQueue<TSplitInfo> candidates;
 
         // explicitly add first split
         TSplitInfo newSplitInfo;
diff --git a/library/cpp/histogram/adaptive/block_histogram.h b/library/cpp/histogram/adaptive/block_histogram.h
index ba1d26f274..266bb2f2b2 100644
--- a/library/cpp/histogram/adaptive/block_histogram.h
+++ b/library/cpp/histogram/adaptive/block_histogram.h
@@ -45,7 +45,7 @@ namespace NKiwiAggr {
         double MinValue;
         double MaxValue;
 
-        TVector<TWeightedValue> Bins; 
+        TVector<TWeightedValue> Bins;
 
     public:
         TBlockHistogram(EHistogramType type, TQualityFunction calcQuality,
@@ -60,7 +60,7 @@ namespace NKiwiAggr {
         virtual void Add(const THistoRec& histoRec);
 
         virtual void Merge(const THistogram& histo, double multiplier);
-        virtual void Merge(const TVector<THistogram>& histogramsToMerge); 
+        virtual void Merge(const TVector<THistogram>& histogramsToMerge);
         virtual void Merge(TVector<IHistogramPtr> histogramsToMerge); // not implemented
 
         virtual void Multiply(double factor);
@@ -123,7 +123,7 @@ namespace NKiwiAggr {
 
     private:
         using TCumulative = std::pair<double, double>; // cumulative sum of (weights, weighted centers)
-        using TCumulatives = TVector<TCumulative>; 
+        using TCumulatives = TVector<TCumulative>;
 
         struct TSplitInfo {
             double profit;
diff --git a/library/cpp/histogram/adaptive/fixed_bin_histogram.cpp b/library/cpp/histogram/adaptive/fixed_bin_histogram.cpp
index 903b076a30..558aba9e2d 100644
--- a/library/cpp/histogram/adaptive/fixed_bin_histogram.cpp
+++ b/library/cpp/histogram/adaptive/fixed_bin_histogram.cpp
@@ -102,7 +102,7 @@ namespace NKiwiAggr {
 
         if (!IsInitialized) {
             if (!TrainingSet) {
-                TrainingSet.Reset(new TVector<TWeightedValue>(0)); 
+                TrainingSet.Reset(new TVector<TWeightedValue>(0));
             }
             TrainingSet->push_back(TWeightedValue(value, weight));
             if (TrainingSet->size() >= TrainingSetSize) {
@@ -128,17 +128,17 @@ namespace NKiwiAggr {
         ythrow yexception() << "Method is not implemented for TFixedBinHistogram";
     }
 
-    void TFixedBinHistogram::Merge(const TVector<THistogram>& histogramsToMerge) { 
-        TVector<IHistogramPtr> parsedHistogramsToMerge; 
+    void TFixedBinHistogram::Merge(const TVector<THistogram>& histogramsToMerge) {
+        TVector<IHistogramPtr> parsedHistogramsToMerge;
         for (size_t i = 0; i < histogramsToMerge.size(); ++i) {
             parsedHistogramsToMerge.push_back(IHistogramPtr(new TAutoHistogram(histogramsToMerge[i], Intervals, Id)));
         }
         Merge(parsedHistogramsToMerge);
     }
 
-    void TFixedBinHistogram::Merge(TVector<IHistogramPtr> histogramsToMerge) { 
-        TVector<IHistogramPtr> histogramsToMergeRepacked(0); 
-        TVector<TFixedBinHistogram*> histograms(0); 
+    void TFixedBinHistogram::Merge(TVector<IHistogramPtr> histogramsToMerge) {
+        TVector<IHistogramPtr> histogramsToMergeRepacked(0);
+        TVector<TFixedBinHistogram*> histograms(0);
 
         // put current histogram to the vector of histograms to merge and clear self
         if (!Empty()) {
@@ -485,7 +485,7 @@ namespace NKiwiAggr {
         }
         SetFrame(MinElement(TrainingSet->begin(), TrainingSet->end(), CompareWeightedValue)->first,
                  MaxElement(TrainingSet->begin(), TrainingSet->end(), CompareWeightedValue)->first, true);
-        for (TVector<TWeightedValue>::const_iterator it = TrainingSet->begin(); it != TrainingSet->end(); ++it) { 
+        for (TVector<TWeightedValue>::const_iterator it = TrainingSet->begin(); it != TrainingSet->end(); ++it) {
             Freqs[CalcBin(it->first)] += it->second;
         }
         TrainingSet.Destroy();
diff --git a/library/cpp/histogram/adaptive/fixed_bin_histogram.h b/library/cpp/histogram/adaptive/fixed_bin_histogram.h
index 05ae0db428..bd380bd94a 100644
--- a/library/cpp/histogram/adaptive/fixed_bin_histogram.h
+++ b/library/cpp/histogram/adaptive/fixed_bin_histogram.h
@@ -26,8 +26,8 @@ namespace NKiwiAggr {
         double MaxValue;
         double Sum;
 
-        TVector<double> Freqs; 
-        TVector<double> ReserveFreqs; 
+        TVector<double> Freqs;
+        TVector<double> ReserveFreqs;
         double ReferencePoint;
         double BinRange;
         size_t Intervals;
@@ -49,8 +49,8 @@ namespace NKiwiAggr {
         virtual void Add(const THistoRec& histoRec);
 
         virtual void Merge(const THistogram& histo, double multiplier);
-        virtual void Merge(const TVector<THistogram>& histogramsToMerge); 
-        virtual void Merge(TVector<IHistogramPtr> histogramsToMerge); 
+        virtual void Merge(const TVector<THistogram>& histogramsToMerge);
+        virtual void Merge(TVector<IHistogramPtr> histogramsToMerge);
 
         virtual void Multiply(double factor);
 
diff --git a/library/cpp/histogram/adaptive/histogram.h b/library/cpp/histogram/adaptive/histogram.h
index e6b11870e1..360fd9a693 100644
--- a/library/cpp/histogram/adaptive/histogram.h
+++ b/library/cpp/histogram/adaptive/histogram.h
@@ -29,8 +29,8 @@ namespace NKiwiAggr {
 
         // Merge some other histos into current
         virtual void Merge(const THistogram& histo, double multiplier) = 0;
-        virtual void Merge(const TVector<THistogram>& histogramsToMerge) = 0; 
-        virtual void Merge(TVector<IHistogramPtr> histogramsToMerge) = 0; 
+        virtual void Merge(const TVector<THistogram>& histogramsToMerge) = 0;
+        virtual void Merge(TVector<IHistogramPtr> histogramsToMerge) = 0;
 
         // factor should be greater then zero
         virtual void Multiply(double factor) = 0;
diff --git a/library/cpp/histogram/adaptive/multi_histogram.h b/library/cpp/histogram/adaptive/multi_histogram.h
index 5a18999edc..41caac5ba6 100644
--- a/library/cpp/histogram/adaptive/multi_histogram.h
+++ b/library/cpp/histogram/adaptive/multi_histogram.h
@@ -15,7 +15,7 @@ namespace NKiwiAggr {
     private:
         static const size_t DEFAULT_INTERVALS = 100;
 
-        typedef THashMap<ui64, IHistogramPtr> THistogramsMap; 
+        typedef THashMap<ui64, IHistogramPtr> THistogramsMap;
         THistogramsMap Histograms;
         size_t Intervals;
 
@@ -62,8 +62,8 @@ namespace NKiwiAggr {
             }
         }
 
-        TVector<ui64> GetIds() const { 
-            TVector<ui64> result(0); 
+        TVector<ui64> GetIds() const {
+            TVector<ui64> result(0);
             for (THistogramsMap::const_iterator it = Histograms.begin(); it != Histograms.end(); ++it) {
                 result.push_back(it->first);
             }