Create separate Android.mk for main build targets

The runtime, compiler, dex2oat, and oatdump now are in seperate trees
to prevent dependency creep.  They can now be individually built
without rebuilding the rest of the art projects. dalvikvm and jdwpspy
were already this way. Builds in the art directory should behave as
before, building everything including tests.

Change-Id: Ic6b1151e5ed0f823c3dd301afd2b13eb2d8feb81

1 files changed, 268 insertions, 0 deletions

diff --git a/runtime/base/histogram_test.cc b/runtime/base/histogram_test.cc
new file mode 100644
index 0000000000..ea3e35ff93
--- /dev/null
+++ b/runtime/base/histogram_test.cc
@@ -0,0 +1,268 @@
+/*
+ * 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());
+}