Restoring authorship annotation for Anton Samokhvalov <pg83@yandex.ru>. Commit 1 of 2.

12 files changed, 74 insertions, 74 deletions

diff --git a/library/cpp/histogram/adaptive/adaptive_histogram.cpp b/library/cpp/histogram/adaptive/adaptive_histogram.cpp
index cbfc494021..4c41575bad 100644
--- a/library/cpp/histogram/adaptive/adaptive_histogram.cpp
+++ b/library/cpp/histogram/adaptive/adaptive_histogram.cpp
@@ -78,8 +78,8 @@ namespace NKiwiAggr {
         if (histo.GetType() == HT_ADAPTIVE_DISTANCE_HISTOGRAM ||
             histo.GetType() == HT_ADAPTIVE_WEIGHT_HISTOGRAM ||
             histo.GetType() == HT_ADAPTIVE_WARD_HISTOGRAM ||
-            histo.GetType() == HT_ADAPTIVE_HISTOGRAM)
-        {
+            histo.GetType() == HT_ADAPTIVE_HISTOGRAM) 
+        { 
             Y_VERIFY(histo.FreqSize() == histo.PositionSize(), "Corrupted histo");
             for (size_t j = 0; j < histo.FreqSize(); ++j) {
                 double value = histo.GetPosition(j);
@@ -130,7 +130,7 @@ namespace NKiwiAggr {
             if (adaptiveHisto) {
                 histogramsToMergeRepacked.push_back(histogramsToMerge[i]);
             } else {
-                histogramsToMergeRepacked.push_back(IHistogramPtr(new TAdaptiveHistogram(histogramsToMerge[i].Get(), Intervals, Id, CalcQuality))); // Convert histograms that are not of TFixedBinHistogram type
+                histogramsToMergeRepacked.push_back(IHistogramPtr(new TAdaptiveHistogram(histogramsToMerge[i].Get(), Intervals, Id, CalcQuality))); // Convert histograms that are not of TFixedBinHistogram type 
             }
             if (histogramsToMergeRepacked.back()->Empty()) {
                 continue;
@@ -180,8 +180,8 @@ namespace NKiwiAggr {
     }
 
     void TAdaptiveHistogram::FromProto(const THistogram& histo) {
-        Y_VERIFY(histo.HasType(), "Attempt to parse TAdaptiveHistogram from THistogram protobuf with no Type field set");
-        ;
+        Y_VERIFY(histo.HasType(), "Attempt to parse TAdaptiveHistogram from THistogram protobuf with no Type field set"); 
+        ; 
         switch (histo.GetType()) { // check that histogram type could be deduced
             case HT_ADAPTIVE_DISTANCE_HISTOGRAM:
             case HT_ADAPTIVE_WEIGHT_HISTOGRAM:
@@ -191,7 +191,7 @@ namespace NKiwiAggr {
                 if (CalcQuality != nullptr)
                     break; // ok
                 [[fallthrough]];
-            default:       // not ok
+            default:       // not ok 
                 ythrow yexception() << "Attempt to parse TAdaptiveHistogram from THistogram protobuf record of type = " << (ui32)histo.GetType();
         }
 
@@ -300,7 +300,7 @@ namespace NKiwiAggr {
                 bound,
                 PrecomputedBins,
                 LowerBound(PrecomputedBins.begin(), PrecomputedBins.end(), TFastBin{bound, -1.0, 0, 0}),
-                [](const auto& it) { return it->SumAbove; });
+                [](const auto& it) { return it->SumAbove; }); 
         } else {
             return GetSumAboveBoundImpl(
                 bound,
@@ -313,7 +313,7 @@ namespace NKiwiAggr {
                         sum += it->second;
                     }
                     return sum;
-                });
+                }); 
         }
     }
 
@@ -333,7 +333,7 @@ namespace NKiwiAggr {
                 bound,
                 PrecomputedBins,
                 LowerBound(PrecomputedBins.begin(), PrecomputedBins.end(), TFastBin{bound, -1.0, 0, 0}),
-                [](const auto& it) { return it->SumBelow; });
+                [](const auto& it) { return it->SumBelow; }); 
         } else {
             return GetSumBelowBoundImpl(
                 bound,
@@ -345,7 +345,7 @@ namespace NKiwiAggr {
                         sum += it->second;
                     }
                     return sum;
-                });
+                }); 
         }
     }
 
@@ -634,4 +634,4 @@ namespace NKiwiAggr {
         return sum;
     }
 
-}
+} 
diff --git a/library/cpp/histogram/adaptive/adaptive_histogram.h b/library/cpp/histogram/adaptive/adaptive_histogram.h
index fa8f48433f..694c198d11 100644
--- a/library/cpp/histogram/adaptive/adaptive_histogram.h
+++ b/library/cpp/histogram/adaptive/adaptive_histogram.h
@@ -10,7 +10,7 @@
 #include <util/generic/vector.h>
 
 namespace NKiwiAggr {
-    class TAdaptiveHistogram: private TNonCopyable, public IHistogram {
+    class TAdaptiveHistogram: private TNonCopyable, public IHistogram { 
     protected:
         static const size_t DEFAULT_INTERVALS = 100;
 
@@ -25,7 +25,7 @@ namespace NKiwiAggr {
             double SumBelow;
             double SumAbove;
 
-            TFastBin(double first_, double second_, double sumBelow = 0, double sumAbove = 0)
+            TFastBin(double first_, double second_, double sumBelow = 0, double sumAbove = 0) 
                 : first(first_)
                 , second(second_)
                 , SumBelow(sumBelow)
@@ -33,7 +33,7 @@ namespace NKiwiAggr {
             {
             }
 
-            bool operator<(const TFastBin& rhs) const {
+            bool operator<(const TFastBin& rhs) const { 
                 return first < rhs.first;
             }
         };
@@ -102,7 +102,7 @@ namespace NKiwiAggr {
         double GetSumBelowBoundImpl(double bound, const TBins& bins, typename TBins::const_iterator rightBin, const TGetSumBelow& getSumBelow) const;
     };
 
-    template <TQualityFunction QualityFunction>
+    template <TQualityFunction QualityFunction> 
     class TDefinedAdaptiveHistogram: public TAdaptiveHistogram {
     public:
         TDefinedAdaptiveHistogram(size_t intervals, ui64 id = 0)
@@ -128,4 +128,4 @@ namespace NKiwiAggr {
     typedef TDefinedAdaptiveHistogram<CalcWeightQuality> TAdaptiveWeightHistogram;
     typedef TDefinedAdaptiveHistogram<CalcWardQuality> TAdaptiveWardHistogram;
 
-}
+} 
diff --git a/library/cpp/histogram/adaptive/auto_histogram.h b/library/cpp/histogram/adaptive/auto_histogram.h
index 9fdf0b9abe..a7a524d7ef 100644
--- a/library/cpp/histogram/adaptive/auto_histogram.h
+++ b/library/cpp/histogram/adaptive/auto_histogram.h
@@ -10,7 +10,7 @@
 #include <util/generic/yexception.h>
 
 namespace NKiwiAggr {
-    class TAutoHistogram: private TNonCopyable, public IHistogram {
+    class TAutoHistogram: private TNonCopyable, public IHistogram { 
     private:
         static const size_t DEFAULT_INTERVALS = 100;
 
@@ -39,7 +39,7 @@ namespace NKiwiAggr {
             ythrow yexception() << "IHistogram constructor is not defined for TAutoHistogram";
         }
 
-        virtual ~TAutoHistogram() {
+        virtual ~TAutoHistogram() { 
         }
 
         virtual void Clear() {
@@ -145,4 +145,4 @@ namespace NKiwiAggr {
         }
     };
 
-}
+} 
diff --git a/library/cpp/histogram/adaptive/block_histogram.cpp b/library/cpp/histogram/adaptive/block_histogram.cpp
index 6586d13ff6..0920bf435b 100644
--- a/library/cpp/histogram/adaptive/block_histogram.cpp
+++ b/library/cpp/histogram/adaptive/block_histogram.cpp
@@ -52,7 +52,7 @@ namespace {
 
     private:
         void SwapPositions(ui32 x, ui32 y) {
-            std::swap(A[x], A[y]);
+            std::swap(A[x], A[y]); 
             Pos[A[x]] = x;
             Pos[A[y]] = y;
         }
@@ -147,8 +147,8 @@ namespace NKiwiAggr {
         if (histo.GetType() == HT_ADAPTIVE_DISTANCE_HISTOGRAM ||
             histo.GetType() == HT_ADAPTIVE_WEIGHT_HISTOGRAM ||
             histo.GetType() == HT_ADAPTIVE_WARD_HISTOGRAM ||
-            histo.GetType() == HT_ADAPTIVE_HISTOGRAM)
-        {
+            histo.GetType() == HT_ADAPTIVE_HISTOGRAM) 
+        { 
             Y_VERIFY(histo.FreqSize() == histo.PositionSize(), "Corrupted histo");
             for (size_t j = 0; j < histo.FreqSize(); ++j) {
                 double value = histo.GetPosition(j);
@@ -188,7 +188,7 @@ namespace NKiwiAggr {
         }
     }
 
-    void TBlockHistogram::Merge(TVector<IHistogramPtr> histogramsToMerge) {
+    void TBlockHistogram::Merge(TVector<IHistogramPtr> histogramsToMerge) { 
         Y_UNUSED(histogramsToMerge);
         ythrow yexception() << "IHistogram::Merge(TVector<IHistogramPtr>) is not defined for TBlockHistogram";
     }
@@ -204,15 +204,15 @@ namespace NKiwiAggr {
     }
 
     void TBlockHistogram::FromProto(const THistogram& histo) {
-        Y_VERIFY(histo.HasType(), "Attempt to parse TBlockHistogram from THistogram protobuf with no Type field set");
-        ;
+        Y_VERIFY(histo.HasType(), "Attempt to parse TBlockHistogram from THistogram protobuf with no Type field set"); 
+        ; 
         switch (histo.GetType()) { // check that histogram type is correct
             case HT_ADAPTIVE_DISTANCE_HISTOGRAM:
             case HT_ADAPTIVE_WEIGHT_HISTOGRAM:
             case HT_ADAPTIVE_WARD_HISTOGRAM:
             case HT_ADAPTIVE_HISTOGRAM:
                 break; // ok
-            default:   // not ok
+            default:   // not ok 
                 ythrow yexception() << "Attempt to parse TBlockHistogram from THistogram protobuf record of type = " << (ui32)histo.GetType();
         }
 
@@ -312,7 +312,7 @@ namespace NKiwiAggr {
         Sort(Bins.begin() + PrevSize, Bins.end());
         if (PrevSize != 0) {
             TVector<TWeightedValue> temp(Bins.begin(), Bins.begin() + PrevSize);
-            std::merge(temp.begin(), temp.end(), Bins.begin() + PrevSize, Bins.end(), Bins.begin());
+            std::merge(temp.begin(), temp.end(), Bins.begin() + PrevSize, Bins.end(), Bins.begin()); 
         }
     }
 
@@ -496,13 +496,13 @@ namespace NKiwiAggr {
 
     TBlockWardHistogram::TBlockWardHistogram(size_t intervals, ui64 id, size_t shrinkSize)
         : TBlockHistogram(HT_ADAPTIVE_WARD_HISTOGRAM, CalcWardQuality, intervals, id, shrinkSize)
-    {
-    }
+    { 
+    } 
 
     bool TBlockWardHistogram::CalcSplitInfo(
         const TCumulatives::const_iterator beg,
         const TCumulatives::const_iterator end, // (!) points to the final element
-        TSplitInfo& splitInfo                   // out
+        TSplitInfo& splitInfo                   // out 
     ) {
         if (end - beg < 2) {
             return false;
@@ -543,7 +543,7 @@ namespace NKiwiAggr {
         TCumulative cumulative = {0., 0.};
         cumulatives.push_back(cumulative);
         for (size_t i = 0; i < Bins.size(); i++) {
-            cumulative.first += Bins[i].second;
+            cumulative.first += Bins[i].second; 
             cumulative.second += Bins[i].second * Bins[i].first;
             cumulatives.push_back(cumulative);
         }
@@ -584,10 +584,10 @@ namespace NKiwiAggr {
             auto splitBeg = *it;
             auto splitEnd = *(it + 1);
             double cnt = (splitEnd->first - splitBeg->first);
-            double mu = (splitEnd->second - splitBeg->second) / cnt;
+            double mu = (splitEnd->second - splitBeg->second) / cnt; 
 
             Bins.push_back(TWeightedValue(mu, cnt));
         }
     }
 
-}
+} 
diff --git a/library/cpp/histogram/adaptive/block_histogram.h b/library/cpp/histogram/adaptive/block_histogram.h
index 266bb2f2b2..a302f91aef 100644
--- a/library/cpp/histogram/adaptive/block_histogram.h
+++ b/library/cpp/histogram/adaptive/block_histogram.h
@@ -27,12 +27,12 @@ namespace NKiwiAggr {
      */
     class TBlockHistogram: private TNonCopyable, public IHistogram {
     protected:
-        static const size_t SHRINK_MULTIPLIER = 2;
+        static const size_t SHRINK_MULTIPLIER = 2; 
         static const size_t GREEDY_SHRINK_MULTIPLIER = 4;
-        static const size_t DEFAULT_INTERVALS = 100;
+        static const size_t DEFAULT_INTERVALS = 100; 
         static const size_t DEFAULT_SHRINK_SIZE = DEFAULT_INTERVALS * (SHRINK_MULTIPLIER + GREEDY_SHRINK_MULTIPLIER);
 
-        const EHistogramType Type;
+        const EHistogramType Type; 
         const TQualityFunction CalcQuality;
 
         size_t Intervals;
@@ -51,7 +51,7 @@ namespace NKiwiAggr {
         TBlockHistogram(EHistogramType type, TQualityFunction calcQuality,
                         size_t intervals, ui64 id = 0, size_t shrinkSize = DEFAULT_SHRINK_SIZE);
 
-        virtual ~TBlockHistogram() {
+        virtual ~TBlockHistogram() { 
         }
 
         virtual void Clear();
@@ -61,7 +61,7 @@ namespace NKiwiAggr {
 
         virtual void Merge(const THistogram& histo, double multiplier);
         virtual void Merge(const TVector<THistogram>& histogramsToMerge);
-        virtual void Merge(TVector<IHistogramPtr> histogramsToMerge); // not implemented
+        virtual void Merge(TVector<IHistogramPtr> histogramsToMerge); // not implemented 
 
         virtual void Multiply(double factor);
 
@@ -99,12 +99,12 @@ namespace NKiwiAggr {
     // TBlockWeightHistogram
     /////////////////////////
 
-    class TBlockWeightHistogram: public TBlockHistogram {
+    class TBlockWeightHistogram: public TBlockHistogram { 
     public:
         TBlockWeightHistogram(size_t intervals, ui64 id = 0, size_t shrinkSize = DEFAULT_SHRINK_SIZE);
 
-        virtual ~TBlockWeightHistogram() {
-        }
+        virtual ~TBlockWeightHistogram() { 
+        } 
 
     private:
         virtual void FastGreedyShrink(size_t intervals) final;
@@ -114,15 +114,15 @@ namespace NKiwiAggr {
     // TBlockWardHistogram
     ///////////////////////
 
-    class TBlockWardHistogram: public TBlockHistogram {
+    class TBlockWardHistogram: public TBlockHistogram { 
     public:
         TBlockWardHistogram(size_t intervals, ui64 id = 0, size_t shrinkSize = DEFAULT_SHRINK_SIZE);
 
-        virtual ~TBlockWardHistogram() {
-        }
+        virtual ~TBlockWardHistogram() { 
+        } 
 
     private:
-        using TCumulative = std::pair<double, double>; // cumulative sum of (weights, weighted centers)
+        using TCumulative = std::pair<double, double>; // cumulative sum of (weights, weighted centers) 
         using TCumulatives = TVector<TCumulative>;
 
         struct TSplitInfo {
@@ -145,4 +145,4 @@ namespace NKiwiAggr {
                                   TSplitInfo& splitInfo);
     };
 
-}
+} 
diff --git a/library/cpp/histogram/adaptive/common.cpp b/library/cpp/histogram/adaptive/common.cpp
index afc6322fce..f79a8f2e74 100644
--- a/library/cpp/histogram/adaptive/common.cpp
+++ b/library/cpp/histogram/adaptive/common.cpp
@@ -10,8 +10,8 @@ namespace NKiwiAggr {
     }
 
     TWeightedValue CalcWardQuality(const TWeightedValue& left, const TWeightedValue& right) {
-        const double N1 = left.second;
-        const double N2 = right.second;
+        const double N1 = left.second; 
+        const double N2 = right.second; 
         const double mu1 = left.first;
         const double mu2 = right.first;
         return TWeightedValue(N1 * N2 / (N1 + N2) * (mu1 - mu2) * (mu1 - mu2), left.first);
diff --git a/library/cpp/histogram/adaptive/common.h b/library/cpp/histogram/adaptive/common.h
index c0f7dfb26b..af71023e1b 100644
--- a/library/cpp/histogram/adaptive/common.h
+++ b/library/cpp/histogram/adaptive/common.h
@@ -3,7 +3,7 @@
 #include <utility>
 
 namespace NKiwiAggr {
-    using TWeightedValue = std::pair<double, double>; // value, weight
+    using TWeightedValue = std::pair<double, double>; // value, weight 
     using TQualityFunction = TWeightedValue (*)(const TWeightedValue&, const TWeightedValue&);
 
     TWeightedValue CalcDistanceQuality(const TWeightedValue& left, const TWeightedValue& right);
diff --git a/library/cpp/histogram/adaptive/fixed_bin_histogram.cpp b/library/cpp/histogram/adaptive/fixed_bin_histogram.cpp
index 558aba9e2d..b92da24809 100644
--- a/library/cpp/histogram/adaptive/fixed_bin_histogram.cpp
+++ b/library/cpp/histogram/adaptive/fixed_bin_histogram.cpp
@@ -156,7 +156,7 @@ namespace NKiwiAggr {
                 fixedBinHisto->Initialize();
                 histogramsToMergeRepacked.push_back(histogramsToMerge[i]);
             } else {
-                histogramsToMergeRepacked.push_back(IHistogramPtr(new TFixedBinHistogram(histogramsToMerge[i].Get(), Intervals, Id, TrainingSetSize))); // Convert histograms that are not of TFixedBinHistogram type
+                histogramsToMergeRepacked.push_back(IHistogramPtr(new TFixedBinHistogram(histogramsToMerge[i].Get(), Intervals, Id, TrainingSetSize))); // Convert histograms that are not of TFixedBinHistogram type 
             }
             histograms.push_back(dynamic_cast<TFixedBinHistogram*>(histogramsToMergeRepacked.back().Get()));
         }
@@ -213,7 +213,7 @@ namespace NKiwiAggr {
             Initialize();
         }
         Sum *= factor;
-        for (i32 i = FirstUsedBin; i <= LastUsedBin; ++i) {
+        for (i32 i = FirstUsedBin; i <= LastUsedBin; ++i) { 
             Freqs[i] *= factor;
         }
     }
@@ -325,7 +325,7 @@ namespace NKiwiAggr {
         if (IsEmpty) {
             return 0.0;
         }
-        if (BinRange == 0.0) { // special case - all values added to histogram are the same
+        if (BinRange == 0.0) { // special case - all values added to histogram are the same 
             return (bound <= ReferencePoint) ? Sum : 0.0;
         }
         i32 bin = CalcBin(bound);
@@ -337,7 +337,7 @@ namespace NKiwiAggr {
         }
         double binStart = BinStart(bin);
         double binEnd = BinEnd(bin);
-        double result = (bound < binStart) ? Freqs[bin] : Freqs[bin] * (binEnd - bound) / (binEnd - binStart);
+        double result = (bound < binStart) ? Freqs[bin] : Freqs[bin] * (binEnd - bound) / (binEnd - binStart); 
         for (i32 i = bin + 1; i <= LastUsedBin; ++i) {
             result += Freqs[i];
         }
@@ -351,7 +351,7 @@ namespace NKiwiAggr {
         if (IsEmpty) {
             return 0.0;
         }
-        if (BinRange == 0.0) { // special case - all values added to histogram are the same
+        if (BinRange == 0.0) { // special case - all values added to histogram are the same 
             return (bound > ReferencePoint) ? Sum : 0.0;
         }
         i32 bin = CalcBin(bound);
@@ -363,7 +363,7 @@ namespace NKiwiAggr {
         }
         double binStart = BinStart(bin);
         double binEnd = BinEnd(bin);
-        double result = (bound > binEnd) ? Freqs[bin] : Freqs[bin] * (bound - binStart) / (binEnd - binStart);
+        double result = (bound > binEnd) ? Freqs[bin] : Freqs[bin] * (bound - binStart) / (binEnd - binStart); 
         for (i32 i = bin - 1; i >= FirstUsedBin; --i) {
             result += Freqs[i];
         }
@@ -516,7 +516,7 @@ namespace NKiwiAggr {
         memset(&(ReserveFreqs[0]), 0, ReserveFreqs.size() * sizeof(double));
 
         double newBinRange = CalcBinRange(newReferencePoint, newMaxValue);
-        for (i32 i = FirstUsedBin; i <= LastUsedBin; ++i) {
+        for (i32 i = FirstUsedBin; i <= LastUsedBin; ++i) { 
             double binStart = BinStart(i);
             double binEnd = BinEnd(i);
             double freq = Freqs[i];
@@ -535,4 +535,4 @@ namespace NKiwiAggr {
         SetFrame(newReferencePoint, newMaxValue, false);
     }
 
-}
+} 
diff --git a/library/cpp/histogram/adaptive/fixed_bin_histogram.h b/library/cpp/histogram/adaptive/fixed_bin_histogram.h
index bd380bd94a..10106e6f54 100644
--- a/library/cpp/histogram/adaptive/fixed_bin_histogram.h
+++ b/library/cpp/histogram/adaptive/fixed_bin_histogram.h
@@ -15,7 +15,7 @@ namespace NKiwiAggr {
         static const size_t DEFAULT_INTERVALS = 100;
 
         typedef std::pair<double, double> TWeightedValue; // value, weight
-        THolder<TVector<TWeightedValue>> TrainingSet;
+        THolder<TVector<TWeightedValue>> TrainingSet; 
         size_t TrainingSetSize;
 
         bool IsInitialized;
@@ -40,7 +40,7 @@ namespace NKiwiAggr {
         TFixedBinHistogram(const THistogram& histo, size_t defaultIntervals = DEFAULT_INTERVALS, ui64 defaultId = 0, size_t trainingSetSize = DEFAULT_TRAINING_SET_SIZE);
         TFixedBinHistogram(IHistogram* histo, size_t defaultIntervals = DEFAULT_INTERVALS, ui64 defaultId = 0, size_t trainingSetSize = DEFAULT_TRAINING_SET_SIZE);
 
-        virtual ~TFixedBinHistogram() {
+        virtual ~TFixedBinHistogram() { 
         }
 
         virtual void Clear();
@@ -88,4 +88,4 @@ namespace NKiwiAggr {
         }
     };
 
-}
+} 
diff --git a/library/cpp/histogram/adaptive/histogram.h b/library/cpp/histogram/adaptive/histogram.h
index 360fd9a693..a2ec2e46a4 100644
--- a/library/cpp/histogram/adaptive/histogram.h
+++ b/library/cpp/histogram/adaptive/histogram.h
@@ -8,7 +8,7 @@ namespace NKiwiAggr {
     class THistoRec;
 
     class IHistogram;
-    typedef TAtomicSharedPtr<IHistogram> IHistogramPtr;
+    typedef TAtomicSharedPtr<IHistogram> IHistogramPtr; 
 
     class IHistogram {
     public:
@@ -18,7 +18,7 @@ namespace NKiwiAggr {
         // TSomeHistogram(const THistogram& histo);  // histo must be acceptable for TSomeHistogram, for example, only with HT_FIXED_BIN_HISTOGRAM for TFixedBinHistogram
         // TSomeHistogram(IHistogram* histo); // any kind of IHistogram
 
-        virtual ~IHistogram() {
+        virtual ~IHistogram() { 
         }
 
         virtual void Clear() = 0;
@@ -35,7 +35,7 @@ namespace NKiwiAggr {
         // factor should be greater then zero
         virtual void Multiply(double factor) = 0;
 
-        virtual void FromProto(const THistogram& histo) = 0; // throws exception in case of wrong histogram type of histo
+        virtual void FromProto(const THistogram& histo) = 0; // throws exception in case of wrong histogram type of histo 
         virtual void ToProto(THistogram& histo) = 0;
 
         virtual void SetId(ui64 id) = 0;
@@ -59,8 +59,8 @@ namespace NKiwiAggr {
         }
 
         // Histogram implementation is supposed to clear all precomputed values() if Add() is called after PrecomputePartialSums()
-        virtual void PrecomputePartialSums() {
-        }
+        virtual void PrecomputePartialSums() { 
+        } 
     };
 
-}
+} 
diff --git a/library/cpp/histogram/adaptive/merger.h b/library/cpp/histogram/adaptive/merger.h
index fc9a6b6a4f..6a40754610 100644
--- a/library/cpp/histogram/adaptive/merger.h
+++ b/library/cpp/histogram/adaptive/merger.h
@@ -6,7 +6,7 @@ namespace NKiwiAggr {
     class IMerger {
     private:
         bool IsMerged;
-        ui32 AutoMergeInterval; // Call Merge() after each AutoMergeInterval calls of Add(); zero means no autoMerge
+        ui32 AutoMergeInterval; // Call Merge() after each AutoMergeInterval calls of Add(); zero means no autoMerge 
         ui32 NotMergedCount;
 
     public:
@@ -17,7 +17,7 @@ namespace NKiwiAggr {
         {
         }
 
-        virtual ~IMerger() {
+        virtual ~IMerger() { 
         }
 
         // returns true if something is added
@@ -65,4 +65,4 @@ namespace NKiwiAggr {
         virtual void ResetImpl() = 0;
     };
 
-}
+} 
diff --git a/library/cpp/histogram/adaptive/multi_histogram.h b/library/cpp/histogram/adaptive/multi_histogram.h
index 41caac5ba6..187036cedd 100644
--- a/library/cpp/histogram/adaptive/multi_histogram.h
+++ b/library/cpp/histogram/adaptive/multi_histogram.h
@@ -31,7 +31,7 @@ namespace NKiwiAggr {
             FromProto(histograms);
         }
 
-        virtual ~TMultiHistogram() {
+        virtual ~TMultiHistogram() { 
         }
 
         void Clear() {
@@ -65,7 +65,7 @@ namespace NKiwiAggr {
         TVector<ui64> GetIds() const {
             TVector<ui64> result(0);
             for (THistogramsMap::const_iterator it = Histograms.begin(); it != Histograms.end(); ++it) {
-                result.push_back(it->first);
+                result.push_back(it->first); 
             }
             return result;
         }
@@ -81,7 +81,7 @@ namespace NKiwiAggr {
         double GetMaxHistoSum() const {
             double sum = 0.0;
             for (THistogramsMap::const_iterator it = Histograms.begin(); it != Histograms.end(); ++it) {
-                sum = std::max(sum, it->second->GetSum());
+                sum = std::max(sum, it->second->GetSum()); 
             }
             return sum;
         }
@@ -138,6 +138,6 @@ namespace NKiwiAggr {
 
     // Good for parsing from THistograms protobuf
     typedef TMultiHistogram<TAutoHistogram> TAutoMultiHistogram;
-    typedef TAtomicSharedPtr<TAutoMultiHistogram> TAutoMultiHistogramPtr;
+    typedef TAtomicSharedPtr<TAutoMultiHistogram> TAutoMultiHistogramPtr; 
 
-}
+}