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-rw-r--r--runtime/base/histogram_test.cc268
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diff --git a/runtime/base/histogram_test.cc b/runtime/base/histogram_test.cc
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+/*
+ * Copyright (C) 2013 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "gtest/gtest.h"
+#include "histogram-inl.h"
+#include "UniquePtr.h"
+
+#include <sstream>
+
+using namespace art;
+
+//Simple usage:
+// Histogram *hist = new Histogram("SimplePercentiles");
+// Percentile PerValue
+// hist->AddValue(121);
+// hist->AddValue(132);
+// hist->AddValue(140);
+// hist->AddValue(145);
+// hist->AddValue(155);
+// hist->CreateHistogram();
+// PerValue = hist->PercentileVal(0.50); finds the 50th percentile(median).
+
+TEST(Histtest, MeanTest) {
+ UniquePtr<Histogram<uint64_t> > hist(new Histogram<uint64_t>("MeanTest"));
+
+ double mean;
+ for (size_t Idx = 0; Idx < 90; Idx++) {
+ hist->AddValue(static_cast<uint64_t>(50));
+ }
+ mean = hist->Mean();
+ EXPECT_EQ(mean, 50);
+ hist->Reset();
+ hist->AddValue(9);
+ hist->AddValue(17);
+ hist->AddValue(28);
+ hist->AddValue(28);
+ mean = hist->Mean();
+ EXPECT_EQ(20.5, mean);
+}
+
+TEST(Histtest, VarianceTest) {
+ UniquePtr<Histogram<uint64_t> > hist(new Histogram<uint64_t>("VarianceTest"));
+
+ double variance;
+ hist->AddValue(9);
+ hist->AddValue(17);
+ hist->AddValue(28);
+ hist->AddValue(28);
+ hist->CreateHistogram();
+ variance = hist->Variance();
+ EXPECT_EQ(64.25, variance);
+}
+
+TEST(Histtest, Percentile) {
+ UniquePtr<Histogram<uint64_t> > hist(new Histogram<uint64_t>("Percentile"));
+
+ double PerValue;
+
+ hist->AddValue(20);
+ hist->AddValue(31);
+ hist->AddValue(42);
+ hist->AddValue(50);
+ hist->AddValue(60);
+ hist->AddValue(70);
+
+ hist->AddValue(98);
+
+ hist->AddValue(110);
+ hist->AddValue(121);
+ hist->AddValue(132);
+ hist->AddValue(140);
+ hist->AddValue(145);
+ hist->AddValue(155);
+
+ hist->CreateHistogram();
+ PerValue = hist->Percentile(0.50);
+ EXPECT_EQ(875, static_cast<int>(PerValue * 10));
+}
+
+TEST(Histtest, UpdateRange) {
+ UniquePtr<Histogram<uint64_t> > hist(new Histogram<uint64_t>("UpdateRange"));
+
+ double PerValue;
+
+ hist->AddValue(15);
+ hist->AddValue(17);
+ hist->AddValue(35);
+ hist->AddValue(50);
+ hist->AddValue(68);
+ hist->AddValue(75);
+ hist->AddValue(93);
+ hist->AddValue(110);
+ hist->AddValue(121);
+ hist->AddValue(132);
+ hist->AddValue(140); //Median value
+ hist->AddValue(145);
+ hist->AddValue(155);
+ hist->AddValue(163);
+ hist->AddValue(168);
+ hist->AddValue(175);
+ hist->AddValue(182);
+ hist->AddValue(193);
+ hist->AddValue(200);
+ hist->AddValue(205);
+ hist->AddValue(212);
+ hist->CreateHistogram();
+ PerValue = hist->Percentile(0.50);
+
+ std::string text;
+ std::stringstream stream;
+ std::string expected =
+ "UpdateRange:\t99% C.I. 15us-212us Avg: 126.380us Max: 212us\n";
+ hist->PrintConfidenceIntervals(stream, 0.99);
+
+ EXPECT_EQ(expected, stream.str());
+ EXPECT_GE(PerValue, 132);
+ EXPECT_LE(PerValue, 145);
+}
+;
+
+TEST(Histtest, Reset) {
+ UniquePtr<Histogram<uint64_t> > hist(new Histogram<uint64_t>("Reset"));
+
+ double PerValue;
+ hist->AddValue(0);
+ hist->AddValue(189);
+ hist->AddValue(389);
+ hist->Reset();
+ hist->AddValue(15);
+ hist->AddValue(17);
+ hist->AddValue(35);
+ hist->AddValue(50);
+ hist->AddValue(68);
+ hist->AddValue(75);
+ hist->AddValue(93);
+ hist->AddValue(110);
+ hist->AddValue(121);
+ hist->AddValue(132);
+ hist->AddValue(140); //Median value
+ hist->AddValue(145);
+ hist->AddValue(155);
+ hist->AddValue(163);
+ hist->AddValue(168);
+ hist->AddValue(175);
+ hist->AddValue(182);
+ hist->AddValue(193);
+ hist->AddValue(200);
+ hist->AddValue(205);
+ hist->AddValue(212);
+ hist->CreateHistogram();
+ PerValue = hist->Percentile(0.50);
+
+ std::string text;
+ std::stringstream stream;
+ std::string expected =
+ "Reset:\t99% C.I. 15us-212us Avg: 126.380us Max: 212us\n";
+ hist->PrintConfidenceIntervals(stream, 0.99);
+
+ EXPECT_EQ(expected, stream.str());
+ EXPECT_GE(PerValue, 132);
+ EXPECT_LE(PerValue, 145);
+}
+;
+
+TEST(Histtest, MultipleCreateHist) {
+ UniquePtr<Histogram<uint64_t> > hist(new Histogram<uint64_t>("MultipleCreateHist"));
+
+ double PerValue;
+ hist->AddValue(15);
+ hist->AddValue(17);
+ hist->AddValue(35);
+ hist->AddValue(50);
+ hist->AddValue(68);
+ hist->AddValue(75);
+ hist->AddValue(93);
+ hist->CreateHistogram();
+ hist->AddValue(110);
+ hist->AddValue(121);
+ hist->AddValue(132);
+ hist->AddValue(140); //Median value
+ hist->AddValue(145);
+ hist->AddValue(155);
+ hist->AddValue(163);
+ hist->AddValue(168);
+ hist->CreateHistogram();
+ hist->AddValue(175);
+ hist->AddValue(182);
+ hist->AddValue(193);
+ hist->AddValue(200);
+ hist->AddValue(205);
+ hist->AddValue(212);
+ hist->CreateHistogram();
+ PerValue = hist->Percentile(0.50);
+ std::stringstream stream;
+ std::string expected =
+ "MultipleCreateHist:\t99% C.I. 15us-212us Avg: 126.380us Max: 212us\n";
+ hist->PrintConfidenceIntervals(stream, 0.99);
+
+ EXPECT_EQ(expected, stream.str());
+ EXPECT_GE(PerValue, 132);
+ EXPECT_LE(PerValue, 145);
+}
+
+TEST(Histtest, SingleValue) {
+ UniquePtr<Histogram<uint64_t> > hist(new Histogram<uint64_t>("SingleValue"));
+
+ hist->AddValue(1);
+ hist->CreateHistogram();
+ std::stringstream stream;
+ std::string expected = "SingleValue:\t99% C.I. 1us-1us Avg: 1us Max: 1us\n";
+ hist->PrintConfidenceIntervals(stream, 0.99);
+ EXPECT_EQ(expected, stream.str());
+}
+
+TEST(Histtest, CappingPercentiles) {
+ UniquePtr<Histogram<uint64_t> > hist(new Histogram<uint64_t>("CappingPercentiles"));
+
+ double per_995;
+ double per_005;
+ // All values are similar.
+ for (uint64_t idx = 0ull; idx < 150ull; idx++) {
+ hist->AddValue(0);
+ }
+ hist->CreateHistogram();
+ per_995 = hist->Percentile(0.995);
+ EXPECT_EQ(per_995, 0);
+ hist->Reset();
+ for (size_t idx = 0; idx < 200; idx++) {
+ for (uint64_t val = 1ull; val <= 4ull; val++) {
+ hist->AddValue(val);
+ }
+ }
+ hist->CreateHistogram();
+ per_005 = hist->Percentile(0.005);
+ per_995 = hist->Percentile(0.995);
+ EXPECT_EQ(1, per_005);
+ EXPECT_EQ(4, per_995);
+}
+
+TEST(Histtest, SpikyValues) {
+ UniquePtr<Histogram<uint64_t> > hist(new Histogram<uint64_t>("SpikyValues"));
+
+ for (uint64_t idx = 0ull; idx < 30ull; idx++) {
+ for (uint64_t idx_inner = 0ull; idx_inner < 5ull; idx_inner++) {
+ hist->AddValue(idx * idx_inner);
+ }
+ }
+ hist->AddValue(10000);
+ hist->CreateHistogram();
+ std::stringstream stream;
+ std::string expected =
+ "SpikyValues:\t99% C.I. 0.089us-2541.825us Avg: 95.033us Max: 10000us\n";
+ hist->PrintConfidenceIntervals(stream, 0.99);
+ EXPECT_EQ(expected, stream.str());
+}
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