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authormsherbakov <msherbakov@yandex-team.ru>2022-02-10 16:49:17 +0300
committerDaniil Cherednik <dcherednik@yandex-team.ru>2022-02-10 16:49:17 +0300
commita0ffafe83b7d6229709a32fa942c71d672ac989c (patch)
tree5d5cb817648f650d76cf1076100726fd9b8448e8 /library/cpp/monlib/dynamic_counters/percentile/percentile_ut.cpp
parentc224a621661ddd69699f9476922eb316607ef57e (diff)
downloadydb-a0ffafe83b7d6229709a32fa942c71d672ac989c.tar.gz
Restoring authorship annotation for <msherbakov@yandex-team.ru>. Commit 2 of 2.
Diffstat (limited to 'library/cpp/monlib/dynamic_counters/percentile/percentile_ut.cpp')
-rw-r--r--library/cpp/monlib/dynamic_counters/percentile/percentile_ut.cpp152
1 files changed, 76 insertions, 76 deletions
diff --git a/library/cpp/monlib/dynamic_counters/percentile/percentile_ut.cpp b/library/cpp/monlib/dynamic_counters/percentile/percentile_ut.cpp
index b09004bd7f..6c8bb54ec9 100644
--- a/library/cpp/monlib/dynamic_counters/percentile/percentile_ut.cpp
+++ b/library/cpp/monlib/dynamic_counters/percentile/percentile_ut.cpp
@@ -1,10 +1,10 @@
-#include "percentile_lg.h"
+#include "percentile_lg.h"
#include <library/cpp/testing/unittest/registar.h>
-
-using namespace NMonitoring;
-
-Y_UNIT_TEST_SUITE(PercentileTest) {
-
+
+using namespace NMonitoring;
+
+Y_UNIT_TEST_SUITE(PercentileTest) {
+
template<size_t A, size_t B, size_t B_BEGIN>
void printSizeAndLimit() {
using TPerc = TPercentileTrackerLg<A, B, 15>;
@@ -57,73 +57,73 @@ void printSizeAndLimit() {
}
}
- Y_UNIT_TEST(BucketIdxIfvsBucketIdxBinarySearch) {
- for (size_t var = 0; var < 5; var++) {
- if (var == 0) {
- TPercentileTrackerLg<3, 2, 15> tracker;
- for (size_t i = 0; i < 3000000; i += 1) {
- size_t num1 = tracker.BucketIdxMostSignificantBit(i);
- size_t num2 = tracker.BucketIdxBinarySearch(i);
- UNIT_ASSERT_EQUAL(num1, num2);
- }
- } else if (var == 1) {
- TPercentileTrackerLg<4, 4, 15> tracker;
- for (size_t i = 0; i < 3000000; i += 1) {
- size_t num1 = tracker.BucketIdxMostSignificantBit(i);
- size_t num2 = tracker.BucketIdxBinarySearch(i);
- UNIT_ASSERT_EQUAL(num1, num2);
- }
- } else if (var == 2) {
- TPercentileTrackerLg<5, 3, 15> tracker;
- for (size_t i = 0; i < 3000000; i += 1) {
- size_t num1 = tracker.BucketIdxMostSignificantBit(i);
- size_t num2 = tracker.BucketIdxBinarySearch(i);
- size_t num3 = tracker.BucketIdxIf(i);
- UNIT_ASSERT_EQUAL(num1, num2);
- UNIT_ASSERT_EQUAL(num2, num3);
- }
- } else if (var == 3) {
- TPercentileTrackerLg<5, 4, 15> tracker;
- for (size_t i = 0; i < 3000000; i += 1) {
- size_t num1 = tracker.BucketIdxMostSignificantBit(i);
- size_t num2 = tracker.BucketIdxBinarySearch(i);
- size_t num3 = tracker.BucketIdxIf(i);
- UNIT_ASSERT_EQUAL(num1, num2);
- UNIT_ASSERT_EQUAL(num2, num3);
- }
- } else if (var == 4) {
- TPercentileTrackerLg<6, 5, 15> tracker;
- for (size_t i = 0; i < 3000000; i += 1) {
- size_t num1 = tracker.BucketIdxMostSignificantBit(i);
- size_t num2 = tracker.BucketIdxBinarySearch(i);
- UNIT_ASSERT_EQUAL(num1, num2);
- }
- for (size_t i = 0; i < 400000000000ul; i += 1303) {
- size_t num1 = tracker.BucketIdxMostSignificantBit(i);
- size_t num2 = tracker.BucketIdxBinarySearch(i);
- UNIT_ASSERT_EQUAL(num1, num2);
- }
- }
- }
- }
-
- Y_UNIT_TEST(DifferentPercentiles) {
- TPercentileTrackerLg<5, 4, 15> tracker;
- TVector<size_t> values({0, 115, 1216, 15, 3234567, 1234567, 216546, 263421, 751654, 96, 224, 223, 225});
- TVector<size_t> percentiles50({0, 0, 116, 15, 116, 116, 1216, 1216, 217056, 1216, 1216, 224, 232});
- TVector<size_t> percentiles75({0, 116, 116, 116, 1216, 1245152, 217056, 270304, 753632, 753632,
- 270304, 270304, 270304});
- TVector<size_t> percentiles90({ 0, 116, 1216, 1216, 2064352, 1245152, 1245152, 1245152, 1245152,
- 1245152, 1245152, 1245152, 1245152});
- TVector<size_t> percentiles100({ 0, 116, 1216, 1216, 2064352, 2064352, 2064352, 2064352, 2064352,
- 2064352, 2064352, 2064352, 2064352 });
-
- for (size_t i = 0; i < values.size(); ++i) {
- tracker.Increment(values[i]);
- UNIT_ASSERT_EQUAL(tracker.GetPercentile(0.5), percentiles50[i]);
- UNIT_ASSERT_EQUAL(tracker.GetPercentile(0.75), percentiles75[i]);
- UNIT_ASSERT_EQUAL(tracker.GetPercentile(0.90), percentiles90[i]);
- UNIT_ASSERT_EQUAL(tracker.GetPercentile(1.0), percentiles100[i]);
- }
- }
-}
+ Y_UNIT_TEST(BucketIdxIfvsBucketIdxBinarySearch) {
+ for (size_t var = 0; var < 5; var++) {
+ if (var == 0) {
+ TPercentileTrackerLg<3, 2, 15> tracker;
+ for (size_t i = 0; i < 3000000; i += 1) {
+ size_t num1 = tracker.BucketIdxMostSignificantBit(i);
+ size_t num2 = tracker.BucketIdxBinarySearch(i);
+ UNIT_ASSERT_EQUAL(num1, num2);
+ }
+ } else if (var == 1) {
+ TPercentileTrackerLg<4, 4, 15> tracker;
+ for (size_t i = 0; i < 3000000; i += 1) {
+ size_t num1 = tracker.BucketIdxMostSignificantBit(i);
+ size_t num2 = tracker.BucketIdxBinarySearch(i);
+ UNIT_ASSERT_EQUAL(num1, num2);
+ }
+ } else if (var == 2) {
+ TPercentileTrackerLg<5, 3, 15> tracker;
+ for (size_t i = 0; i < 3000000; i += 1) {
+ size_t num1 = tracker.BucketIdxMostSignificantBit(i);
+ size_t num2 = tracker.BucketIdxBinarySearch(i);
+ size_t num3 = tracker.BucketIdxIf(i);
+ UNIT_ASSERT_EQUAL(num1, num2);
+ UNIT_ASSERT_EQUAL(num2, num3);
+ }
+ } else if (var == 3) {
+ TPercentileTrackerLg<5, 4, 15> tracker;
+ for (size_t i = 0; i < 3000000; i += 1) {
+ size_t num1 = tracker.BucketIdxMostSignificantBit(i);
+ size_t num2 = tracker.BucketIdxBinarySearch(i);
+ size_t num3 = tracker.BucketIdxIf(i);
+ UNIT_ASSERT_EQUAL(num1, num2);
+ UNIT_ASSERT_EQUAL(num2, num3);
+ }
+ } else if (var == 4) {
+ TPercentileTrackerLg<6, 5, 15> tracker;
+ for (size_t i = 0; i < 3000000; i += 1) {
+ size_t num1 = tracker.BucketIdxMostSignificantBit(i);
+ size_t num2 = tracker.BucketIdxBinarySearch(i);
+ UNIT_ASSERT_EQUAL(num1, num2);
+ }
+ for (size_t i = 0; i < 400000000000ul; i += 1303) {
+ size_t num1 = tracker.BucketIdxMostSignificantBit(i);
+ size_t num2 = tracker.BucketIdxBinarySearch(i);
+ UNIT_ASSERT_EQUAL(num1, num2);
+ }
+ }
+ }
+ }
+
+ Y_UNIT_TEST(DifferentPercentiles) {
+ TPercentileTrackerLg<5, 4, 15> tracker;
+ TVector<size_t> values({0, 115, 1216, 15, 3234567, 1234567, 216546, 263421, 751654, 96, 224, 223, 225});
+ TVector<size_t> percentiles50({0, 0, 116, 15, 116, 116, 1216, 1216, 217056, 1216, 1216, 224, 232});
+ TVector<size_t> percentiles75({0, 116, 116, 116, 1216, 1245152, 217056, 270304, 753632, 753632,
+ 270304, 270304, 270304});
+ TVector<size_t> percentiles90({ 0, 116, 1216, 1216, 2064352, 1245152, 1245152, 1245152, 1245152,
+ 1245152, 1245152, 1245152, 1245152});
+ TVector<size_t> percentiles100({ 0, 116, 1216, 1216, 2064352, 2064352, 2064352, 2064352, 2064352,
+ 2064352, 2064352, 2064352, 2064352 });
+
+ for (size_t i = 0; i < values.size(); ++i) {
+ tracker.Increment(values[i]);
+ UNIT_ASSERT_EQUAL(tracker.GetPercentile(0.5), percentiles50[i]);
+ UNIT_ASSERT_EQUAL(tracker.GetPercentile(0.75), percentiles75[i]);
+ UNIT_ASSERT_EQUAL(tracker.GetPercentile(0.90), percentiles90[i]);
+ UNIT_ASSERT_EQUAL(tracker.GetPercentile(1.0), percentiles100[i]);
+ }
+ }
+}