Restoring authorship annotation for <alex-sh@yandex-team.ru>. Commit 2 of 2.

1 files changed, 52 insertions, 52 deletions

diff --git a/library/cpp/linear_regression/unimodal.h b/library/cpp/linear_regression/unimodal.h
index 2cb3c531df..e11b1118f6 100644
--- a/library/cpp/linear_regression/unimodal.h
+++ b/library/cpp/linear_regression/unimodal.h
@@ -1,59 +1,59 @@
-#pragma once 
- 
-#include "linear_regression.h" 
- 
-struct TGreedyParams { 
-    double LowerBound = 0; 
-    double UpperBound = 0; 
-    size_t StepsCount = 0; 
- 
-    double Point(const size_t step) const; 
-}; 
- 
-struct TOptimizationParams { 
-    TGreedyParams ModeParams; 
-    TGreedyParams NormalizerParams; 
- 
-    double OptimizationShrinkage = 1e-2; 
-    double RegressionShrinkage = 1e-5; 
- 
-    size_t IterationsCount = 1000; 
- 
+#pragma once
+
+#include "linear_regression.h"
+
+struct TGreedyParams {
+    double LowerBound = 0;
+    double UpperBound = 0;
+    size_t StepsCount = 0;
+
+    double Point(const size_t step) const;
+};
+
+struct TOptimizationParams {
+    TGreedyParams ModeParams;
+    TGreedyParams NormalizerParams;
+
+    double OptimizationShrinkage = 1e-2;
+    double RegressionShrinkage = 1e-5;
+
+    size_t IterationsCount = 1000;
+
     TOptimizationParams() = default;
- 
+
     static TOptimizationParams Default(const TVector<double>& values) {
-        TOptimizationParams optimizationParams; 
- 
-        optimizationParams.ModeParams.LowerBound = 0; 
-        optimizationParams.ModeParams.UpperBound = values.size(); 
-        optimizationParams.ModeParams.StepsCount = values.size() + 1; 
- 
-        optimizationParams.NormalizerParams.LowerBound = 0.5; 
-        optimizationParams.NormalizerParams.UpperBound = values.size() * 2; 
-        optimizationParams.NormalizerParams.StepsCount = values.size() * 2 + 1; 
- 
-        return optimizationParams; 
-    } 
- 
+        TOptimizationParams optimizationParams;
+
+        optimizationParams.ModeParams.LowerBound = 0;
+        optimizationParams.ModeParams.UpperBound = values.size();
+        optimizationParams.ModeParams.StepsCount = values.size() + 1;
+
+        optimizationParams.NormalizerParams.LowerBound = 0.5;
+        optimizationParams.NormalizerParams.UpperBound = values.size() * 2;
+        optimizationParams.NormalizerParams.StepsCount = values.size() * 2 + 1;
+
+        return optimizationParams;
+    }
+
     static TOptimizationParams Default(const TVector<double>& values, const TVector<double>& arguments) {
-        Y_ASSERT(values.size() == arguments.size()); 
- 
-        TOptimizationParams optimizationParams; 
- 
-        optimizationParams.ModeParams.LowerBound = *MinElement(arguments.begin(), arguments.end()); 
-        optimizationParams.ModeParams.UpperBound = *MaxElement(arguments.begin(), arguments.end()); 
-        optimizationParams.ModeParams.StepsCount = arguments.size() + 1; 
- 
-        optimizationParams.NormalizerParams.UpperBound = optimizationParams.ModeParams.UpperBound - optimizationParams.ModeParams.LowerBound; 
-        optimizationParams.NormalizerParams.StepsCount = arguments.size() * 2 + 1; 
-        optimizationParams.NormalizerParams.LowerBound = optimizationParams.NormalizerParams.UpperBound / optimizationParams.NormalizerParams.StepsCount; 
- 
-        return optimizationParams; 
-    } 
-}; 
- 
+        Y_ASSERT(values.size() == arguments.size());
+
+        TOptimizationParams optimizationParams;
+
+        optimizationParams.ModeParams.LowerBound = *MinElement(arguments.begin(), arguments.end());
+        optimizationParams.ModeParams.UpperBound = *MaxElement(arguments.begin(), arguments.end());
+        optimizationParams.ModeParams.StepsCount = arguments.size() + 1;
+
+        optimizationParams.NormalizerParams.UpperBound = optimizationParams.ModeParams.UpperBound - optimizationParams.ModeParams.LowerBound;
+        optimizationParams.NormalizerParams.StepsCount = arguments.size() * 2 + 1;
+        optimizationParams.NormalizerParams.LowerBound = optimizationParams.NormalizerParams.UpperBound / optimizationParams.NormalizerParams.StepsCount;
+
+        return optimizationParams;
+    }
+};
+
 double MakeUnimodal(TVector<double>& values, const TOptimizationParams& optimizationParams);
 double MakeUnimodal(TVector<double>& values);
- 
+
 double MakeUnimodal(TVector<double>& values, const TVector<double>& arguments, const TOptimizationParams& optimizationParams);
 double MakeUnimodal(TVector<double>& values, const TVector<double>& arguments);