1 /* 2 * Copyright (C) 2013 The Android Open Source Project 3 * 4 * Licensed under the Apache License, Version 2.0 (the "License"); 5 * you may not use this file except in compliance with the License. 6 * You may obtain a copy of the License at 7 * 8 * http://www.apache.org/licenses/LICENSE-2.0 9 * 10 * Unless required by applicable law or agreed to in writing, software 11 * distributed under the License is distributed on an "AS IS" BASIS, 12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 * See the License for the specific language governing permissions and 14 * limitations under the License. 15 */ 16 17 #include "gtest/gtest.h" 18 #include "histogram-inl.h" 19 #include "UniquePtr.h" 20 21 #include <sstream> 22 23 namespace art { 24 25 // Simple usage: 26 // Histogram *hist(new Histogram("SimplePercentiles")); 27 // Percentile PerValue 28 // hist->AddValue(121); 29 // hist->AddValue(132); 30 // hist->AddValue(140); 31 // hist->AddValue(145); 32 // hist->AddValue(155); 33 // hist->CreateHistogram(); 34 // PerValue = hist->PercentileVal(0.50); finds the 50th percentile(median). 35 36 TEST(Histtest, MeanTest) { 37 UniquePtr<Histogram<uint64_t> > hist(new Histogram<uint64_t>("MeanTest", 5)); 38 39 double mean; 40 for (size_t Idx = 0; Idx < 90; Idx++) { 41 hist->AddValue(static_cast<uint64_t>(50)); 42 } 43 mean = hist->Mean(); 44 EXPECT_EQ(mean, 50); 45 hist->Reset(); 46 hist->AddValue(9); 47 hist->AddValue(17); 48 hist->AddValue(28); 49 hist->AddValue(28); 50 mean = hist->Mean(); 51 EXPECT_EQ(20.5, mean); 52 } 53 54 TEST(Histtest, VarianceTest) { 55 UniquePtr<Histogram<uint64_t> > hist(new Histogram<uint64_t>("VarianceTest", 5)); 56 57 double variance; 58 hist->AddValue(9); 59 hist->AddValue(17); 60 hist->AddValue(28); 61 hist->AddValue(28); 62 variance = hist->Variance(); 63 EXPECT_EQ(64.25, variance); 64 } 65 66 TEST(Histtest, Percentile) { 67 UniquePtr<Histogram<uint64_t> > hist(new Histogram<uint64_t>("Percentile", 5)); 68 Histogram<uint64_t>::CumulativeData data; 69 70 double PerValue; 71 72 hist->AddValue(20); 73 hist->AddValue(31); 74 hist->AddValue(42); 75 hist->AddValue(50); 76 hist->AddValue(60); 77 hist->AddValue(70); 78 79 hist->AddValue(98); 80 81 hist->AddValue(110); 82 hist->AddValue(121); 83 hist->AddValue(132); 84 hist->AddValue(140); 85 hist->AddValue(145); 86 hist->AddValue(155); 87 88 hist->CreateHistogram(data); 89 PerValue = hist->Percentile(0.50, data); 90 EXPECT_EQ(875, static_cast<int>(PerValue * 10)); 91 } 92 93 TEST(Histtest, UpdateRange) { 94 UniquePtr<Histogram<uint64_t> > hist(new Histogram<uint64_t>("UpdateRange", 5)); 95 Histogram<uint64_t>::CumulativeData data; 96 97 double PerValue; 98 99 hist->AddValue(15); 100 hist->AddValue(17); 101 hist->AddValue(35); 102 hist->AddValue(50); 103 hist->AddValue(68); 104 hist->AddValue(75); 105 hist->AddValue(93); 106 hist->AddValue(110); 107 hist->AddValue(121); 108 hist->AddValue(132); 109 hist->AddValue(140); // Median value 110 hist->AddValue(145); 111 hist->AddValue(155); 112 hist->AddValue(163); 113 hist->AddValue(168); 114 hist->AddValue(175); 115 hist->AddValue(182); 116 hist->AddValue(193); 117 hist->AddValue(200); 118 hist->AddValue(205); 119 hist->AddValue(212); 120 hist->CreateHistogram(data); 121 PerValue = hist->Percentile(0.50, data); 122 123 std::string text; 124 std::stringstream stream; 125 std::string expected("UpdateRange:\t99% C.I. 15us-212us Avg: 126.380us Max: 212us\n"); 126 hist->PrintConfidenceIntervals(stream, 0.99, data); 127 128 EXPECT_EQ(expected, stream.str()); 129 EXPECT_GE(PerValue, 132); 130 EXPECT_LE(PerValue, 145); 131 } 132 133 TEST(Histtest, Reset) { 134 UniquePtr<Histogram<uint64_t> > hist(new Histogram<uint64_t>("Reset", 5)); 135 Histogram<uint64_t>::CumulativeData data; 136 137 double PerValue; 138 hist->AddValue(0); 139 hist->AddValue(189); 140 hist->AddValue(389); 141 hist->Reset(); 142 hist->AddValue(15); 143 hist->AddValue(17); 144 hist->AddValue(35); 145 hist->AddValue(50); 146 hist->AddValue(68); 147 hist->AddValue(75); 148 hist->AddValue(93); 149 hist->AddValue(110); 150 hist->AddValue(121); 151 hist->AddValue(132); 152 hist->AddValue(140); // Median value 153 hist->AddValue(145); 154 hist->AddValue(155); 155 hist->AddValue(163); 156 hist->AddValue(168); 157 hist->AddValue(175); 158 hist->AddValue(182); 159 hist->AddValue(193); 160 hist->AddValue(200); 161 hist->AddValue(205); 162 hist->AddValue(212); 163 hist->CreateHistogram(data); 164 PerValue = hist->Percentile(0.50, data); 165 166 std::string text; 167 std::stringstream stream; 168 std::string expected("Reset:\t99% C.I. 15us-212us Avg: 126.380us Max: 212us\n"); 169 hist->PrintConfidenceIntervals(stream, 0.99, data); 170 171 EXPECT_EQ(expected, stream.str()); 172 EXPECT_GE(PerValue, 132); 173 EXPECT_LE(PerValue, 145); 174 } 175 176 TEST(Histtest, MultipleCreateHist) { 177 UniquePtr<Histogram<uint64_t> > hist(new Histogram<uint64_t>("MultipleCreateHist", 5)); 178 Histogram<uint64_t>::CumulativeData data; 179 180 double PerValue; 181 hist->AddValue(15); 182 hist->AddValue(17); 183 hist->AddValue(35); 184 hist->AddValue(50); 185 hist->AddValue(68); 186 hist->AddValue(75); 187 hist->AddValue(93); 188 hist->CreateHistogram(data); 189 hist->AddValue(110); 190 hist->AddValue(121); 191 hist->AddValue(132); 192 hist->AddValue(140); // Median value 193 hist->AddValue(145); 194 hist->AddValue(155); 195 hist->AddValue(163); 196 hist->AddValue(168); 197 hist->CreateHistogram(data); 198 hist->AddValue(175); 199 hist->AddValue(182); 200 hist->AddValue(193); 201 hist->AddValue(200); 202 hist->AddValue(205); 203 hist->AddValue(212); 204 hist->CreateHistogram(data); 205 PerValue = hist->Percentile(0.50, data); 206 std::stringstream stream; 207 std::string expected("MultipleCreateHist:\t99% C.I. 15us-212us Avg: 126.380us Max: 212us\n"); 208 hist->PrintConfidenceIntervals(stream, 0.99, data); 209 210 EXPECT_EQ(expected, stream.str()); 211 EXPECT_GE(PerValue, 132); 212 EXPECT_LE(PerValue, 145); 213 } 214 215 TEST(Histtest, SingleValue) { 216 UniquePtr<Histogram<uint64_t> > hist(new Histogram<uint64_t>("SingleValue", 5)); 217 Histogram<uint64_t>::CumulativeData data; 218 219 hist->AddValue(1); 220 hist->CreateHistogram(data); 221 std::stringstream stream; 222 std::string expected = "SingleValue:\t99% C.I. 1us-1us Avg: 1us Max: 1us\n"; 223 hist->PrintConfidenceIntervals(stream, 0.99, data); 224 EXPECT_EQ(expected, stream.str()); 225 } 226 227 TEST(Histtest, CappingPercentiles) { 228 UniquePtr<Histogram<uint64_t> > hist(new Histogram<uint64_t>("CappingPercentiles", 5)); 229 Histogram<uint64_t>::CumulativeData data; 230 231 double per_995; 232 double per_005; 233 // All values are similar. 234 for (uint64_t idx = 0ull; idx < 150ull; idx++) { 235 hist->AddValue(0); 236 } 237 hist->CreateHistogram(data); 238 per_995 = hist->Percentile(0.995, data); 239 EXPECT_EQ(per_995, 0); 240 hist->Reset(); 241 for (size_t idx = 0; idx < 200; idx++) { 242 for (uint64_t val = 1ull; val <= 4ull; val++) { 243 hist->AddValue(val); 244 } 245 } 246 hist->CreateHistogram(data); 247 per_005 = hist->Percentile(0.005, data); 248 per_995 = hist->Percentile(0.995, data); 249 EXPECT_EQ(1, per_005); 250 EXPECT_EQ(4, per_995); 251 } 252 253 TEST(Histtest, SpikyValues) { 254 UniquePtr<Histogram<uint64_t> > hist(new Histogram<uint64_t>("SpikyValues", 5, 4096)); 255 Histogram<uint64_t>::CumulativeData data; 256 257 for (uint64_t idx = 0ull; idx < 30ull; idx++) { 258 for (uint64_t idx_inner = 0ull; idx_inner < 5ull; idx_inner++) { 259 hist->AddValue(idx * idx_inner); 260 } 261 } 262 hist->AddValue(10000); 263 hist->CreateHistogram(data); 264 std::stringstream stream; 265 std::string expected = "SpikyValues:\t99% C.I. 0.089us-2541.825us Avg: 95.033us Max: 10000us\n"; 266 hist->PrintConfidenceIntervals(stream, 0.99, data); 267 EXPECT_EQ(expected, stream.str()); 268 } 269 270 } // namespace art 271
