Move webrtc/{base => rtc_base}

webrtc/base/rollingaccumulator_unittest.cc

Index: webrtc/base/rollingaccumulator_unittest.cc
diff --git a/webrtc/base/rollingaccumulator_unittest.cc b/webrtc/base/rollingaccumulator_unittest.cc
deleted file mode 100644
index 7e3d8cdf0e96a17cfc3c5af96f3a28c5bff8d62a..0000000000000000000000000000000000000000
--- a/webrtc/base/rollingaccumulator_unittest.cc
+++ /dev/null
@@ -1,118 +0,0 @@
-/*
- *  Copyright 2011 The WebRTC Project Authors. All rights reserved.
- *
- *  Use of this source code is governed by a BSD-style license
- *  that can be found in the LICENSE file in the root of the source
- *  tree. An additional intellectual property rights grant can be found
- *  in the file PATENTS.  All contributing project authors may
- *  be found in the AUTHORS file in the root of the source tree.
- */
-
-#include "webrtc/base/gunit.h"
-#include "webrtc/base/rollingaccumulator.h"
-
-namespace rtc {
-
-namespace {
-
-const double kLearningRate = 0.5;
-
-}  // namespace
-
-TEST(RollingAccumulatorTest, ZeroSamples) {
-  RollingAccumulator<int> accum(10);
-
-  EXPECT_EQ(0U, accum.count());
-  EXPECT_DOUBLE_EQ(0.0, accum.ComputeMean());
-  EXPECT_DOUBLE_EQ(0.0, accum.ComputeVariance());
-  EXPECT_EQ(0, accum.ComputeMin());
-  EXPECT_EQ(0, accum.ComputeMax());
-}
-
-TEST(RollingAccumulatorTest, SomeSamples) {
-  RollingAccumulator<int> accum(10);
-  for (int i = 0; i < 4; ++i) {
-    accum.AddSample(i);
-  }
-
-  EXPECT_EQ(4U, accum.count());
-  EXPECT_EQ(6, accum.ComputeSum());
-  EXPECT_DOUBLE_EQ(1.5, accum.ComputeMean());
-  EXPECT_NEAR(2.26666, accum.ComputeWeightedMean(kLearningRate), 0.01);
-  EXPECT_DOUBLE_EQ(1.25, accum.ComputeVariance());
-  EXPECT_EQ(0, accum.ComputeMin());
-  EXPECT_EQ(3, accum.ComputeMax());
-}
-
-TEST(RollingAccumulatorTest, RollingSamples) {
-  RollingAccumulator<int> accum(10);
-  for (int i = 0; i < 12; ++i) {
-    accum.AddSample(i);
-  }
-
-  EXPECT_EQ(10U, accum.count());
-  EXPECT_EQ(65, accum.ComputeSum());
-  EXPECT_DOUBLE_EQ(6.5, accum.ComputeMean());
-  EXPECT_NEAR(10.0, accum.ComputeWeightedMean(kLearningRate), 0.01);
-  EXPECT_NEAR(9.0, accum.ComputeVariance(), 1.0);
-  EXPECT_EQ(2, accum.ComputeMin());
-  EXPECT_EQ(11, accum.ComputeMax());
-}
-
-TEST(RollingAccumulatorTest, ResetSamples) {
-  RollingAccumulator<int> accum(10);
-
-  for (int i = 0; i < 10; ++i) {
-    accum.AddSample(100);
-  }
-  EXPECT_EQ(10U, accum.count());
-  EXPECT_DOUBLE_EQ(100.0, accum.ComputeMean());
-  EXPECT_EQ(100, accum.ComputeMin());
-  EXPECT_EQ(100, accum.ComputeMax());
-
-  accum.Reset();
-  EXPECT_EQ(0U, accum.count());
-
-  for (int i = 0; i < 5; ++i) {
-    accum.AddSample(i);
-  }
-
-  EXPECT_EQ(5U, accum.count());
-  EXPECT_EQ(10, accum.ComputeSum());
-  EXPECT_DOUBLE_EQ(2.0, accum.ComputeMean());
-  EXPECT_EQ(0, accum.ComputeMin());
-  EXPECT_EQ(4, accum.ComputeMax());
-}
-
-TEST(RollingAccumulatorTest, RollingSamplesDouble) {
-  RollingAccumulator<double> accum(10);
-  for (int i = 0; i < 23; ++i) {
-    accum.AddSample(5 * i);
-  }
-
-  EXPECT_EQ(10u, accum.count());
-  EXPECT_DOUBLE_EQ(875.0, accum.ComputeSum());
-  EXPECT_DOUBLE_EQ(87.5, accum.ComputeMean());
-  EXPECT_NEAR(105.049, accum.ComputeWeightedMean(kLearningRate), 0.1);
-  EXPECT_NEAR(229.166667, accum.ComputeVariance(), 25);
-  EXPECT_DOUBLE_EQ(65.0, accum.ComputeMin());
-  EXPECT_DOUBLE_EQ(110.0, accum.ComputeMax());
-}
-
-TEST(RollingAccumulatorTest, ComputeWeightedMeanCornerCases) {
-  RollingAccumulator<int> accum(10);
-  EXPECT_DOUBLE_EQ(0.0, accum.ComputeWeightedMean(kLearningRate));
-  EXPECT_DOUBLE_EQ(0.0, accum.ComputeWeightedMean(0.0));
-  EXPECT_DOUBLE_EQ(0.0, accum.ComputeWeightedMean(1.1));
-
-  for (int i = 0; i < 8; ++i) {
-    accum.AddSample(i);
-  }
-
-  EXPECT_DOUBLE_EQ(3.5, accum.ComputeMean());
-  EXPECT_DOUBLE_EQ(3.5, accum.ComputeWeightedMean(0));
-  EXPECT_DOUBLE_EQ(3.5, accum.ComputeWeightedMean(1.1));
-  EXPECT_NEAR(6.0, accum.ComputeWeightedMean(kLearningRate), 0.1);
-}
-
-}  // namespace rtc