Restoring authorship annotation for Sergey Polovko <sergey@polovko.me>. Commit 1 of 2.

1 files changed, 42 insertions, 42 deletions

diff --git a/library/cpp/monlib/counters/histogram_ut.cpp b/library/cpp/monlib/counters/histogram_ut.cpp
index 5a0800505a..654994d12f 100644
--- a/library/cpp/monlib/counters/histogram_ut.cpp
+++ b/library/cpp/monlib/counters/histogram_ut.cpp
@@ -1,47 +1,47 @@
-#include "histogram.h"
-
+#include "histogram.h" 
+ 
 #include <library/cpp/testing/unittest/registar.h>
-
-using namespace NMonitoring;
-
+ 
+using namespace NMonitoring; 
+ 
 Y_UNIT_TEST_SUITE(THistorgamTest) {
     Y_UNIT_TEST(TakeSnapshot) {
-        THdrHistogram h(1, 10, 3);
-        UNIT_ASSERT(h.RecordValue(1));
-        UNIT_ASSERT(h.RecordValue(2));
-        UNIT_ASSERT(h.RecordValues(3, 10));
-        UNIT_ASSERT(h.RecordValue(4));
-        UNIT_ASSERT(h.RecordValue(5));
-
-        UNIT_ASSERT_EQUAL(h.GetTotalCount(), 14);
-
-        THistogramSnapshot snapshot;
-        h.TakeSnaphot(&snapshot);
-
-        UNIT_ASSERT_EQUAL(h.GetTotalCount(), 0);
-
-        UNIT_ASSERT_EQUAL(snapshot.Min, 1);
-        UNIT_ASSERT_EQUAL(snapshot.Max, 5);
-
-        // >>> a = [1, 2] + [3 for i in range(10)]  + [4, 5]
-        // >>> numpy.mean(a)
-        // 3.0
-        UNIT_ASSERT_DOUBLES_EQUAL(snapshot.Mean, 3.0, 1e-6);
-
-        // >>> numpy.std(a)
-        // 0.84515425472851657
-        UNIT_ASSERT_DOUBLES_EQUAL(snapshot.StdDeviation, 0.84515425472851657, 1e-6);
-
-        // >>> [(p, round(numpy.percentile(a, p))) for p in [50, 75, 90, 95, 98, 99, 99.9, 100]]
-        // [(50, 3.0), (75, 3.0), (90, 4.0), (95, 4.0), (98, 5.0), (99, 5.0), (99.9, 5.0), (100, 5.0)]
-        UNIT_ASSERT_EQUAL(snapshot.Percentile50, 3);
-        UNIT_ASSERT_EQUAL(snapshot.Percentile75, 3);
-        UNIT_ASSERT_EQUAL(snapshot.Percentile90, 4);
-        UNIT_ASSERT_EQUAL(snapshot.Percentile95, 4);
-        UNIT_ASSERT_EQUAL(snapshot.Percentile98, 5);
-        UNIT_ASSERT_EQUAL(snapshot.Percentile99, 5);
-        UNIT_ASSERT_EQUAL(snapshot.Percentile999, 5);
+        THdrHistogram h(1, 10, 3); 
+        UNIT_ASSERT(h.RecordValue(1)); 
+        UNIT_ASSERT(h.RecordValue(2)); 
+        UNIT_ASSERT(h.RecordValues(3, 10)); 
+        UNIT_ASSERT(h.RecordValue(4)); 
+        UNIT_ASSERT(h.RecordValue(5)); 
+ 
+        UNIT_ASSERT_EQUAL(h.GetTotalCount(), 14); 
+ 
+        THistogramSnapshot snapshot; 
+        h.TakeSnaphot(&snapshot); 
+ 
+        UNIT_ASSERT_EQUAL(h.GetTotalCount(), 0); 
+ 
+        UNIT_ASSERT_EQUAL(snapshot.Min, 1); 
+        UNIT_ASSERT_EQUAL(snapshot.Max, 5); 
+ 
+        // >>> a = [1, 2] + [3 for i in range(10)]  + [4, 5] 
+        // >>> numpy.mean(a) 
+        // 3.0 
+        UNIT_ASSERT_DOUBLES_EQUAL(snapshot.Mean, 3.0, 1e-6); 
+ 
+        // >>> numpy.std(a) 
+        // 0.84515425472851657 
+        UNIT_ASSERT_DOUBLES_EQUAL(snapshot.StdDeviation, 0.84515425472851657, 1e-6); 
+ 
+        // >>> [(p, round(numpy.percentile(a, p))) for p in [50, 75, 90, 95, 98, 99, 99.9, 100]] 
+        // [(50, 3.0), (75, 3.0), (90, 4.0), (95, 4.0), (98, 5.0), (99, 5.0), (99.9, 5.0), (100, 5.0)] 
+        UNIT_ASSERT_EQUAL(snapshot.Percentile50, 3); 
+        UNIT_ASSERT_EQUAL(snapshot.Percentile75, 3); 
+        UNIT_ASSERT_EQUAL(snapshot.Percentile90, 4); 
+        UNIT_ASSERT_EQUAL(snapshot.Percentile95, 4); 
+        UNIT_ASSERT_EQUAL(snapshot.Percentile98, 5); 
+        UNIT_ASSERT_EQUAL(snapshot.Percentile99, 5); 
+        UNIT_ASSERT_EQUAL(snapshot.Percentile999, 5); 
 
         UNIT_ASSERT_EQUAL(snapshot.TotalCount, 14);
-    }
-}
+    } 
+}