340 lines
8.3 KiB
C++
340 lines
8.3 KiB
C++
/*
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* Copyright (C) 2014 Open Source Robotics Foundation
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*
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*/
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#include <gtest/gtest.h>
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#include "gazebo/math/SignalStats.hh"
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using namespace gazebo;
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class SignalStatsTest : public ::testing::Test { };
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TEST_F(SignalStatsTest, SignalMean)
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{
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{
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// Constructor
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math::SignalMean mean;
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EXPECT_DOUBLE_EQ(mean.Value(), 0.0);
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EXPECT_EQ(mean.Count(), 0u);
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EXPECT_EQ(mean.ShortName(), std::string("mean"));
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// Reset
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mean.Reset();
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EXPECT_DOUBLE_EQ(mean.Value(), 0.0);
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EXPECT_EQ(mean.Count(), 0u);
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}
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{
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// Constant values, mean should match
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math::SignalMean mean;
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EXPECT_DOUBLE_EQ(mean.Value(), 0.0);
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EXPECT_EQ(mean.Count(), 0u);
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const double value = 3.14159;
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// Loop two times to verify Reset
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for (int j = 0; j < 2; ++j)
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{
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for (unsigned int i = 1; i <= 10; ++i)
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{
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mean.InsertData(value);
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EXPECT_NEAR(mean.Value(), value, 1e-10);
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EXPECT_EQ(mean.Count(), i);
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}
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// Reset
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mean.Reset();
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EXPECT_DOUBLE_EQ(mean.Value(), 0.0);
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EXPECT_EQ(mean.Count(), 0u);
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}
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}
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{
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// Values with alternating sign, increasing magnitude
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// Should be zero every other time
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math::SignalMean mean;
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EXPECT_DOUBLE_EQ(mean.Value(), 0.0);
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EXPECT_EQ(mean.Count(), 0u);
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const double value = 3.14159;
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// Loop two times to verify Reset
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for (int j = 0; j < 2; ++j)
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{
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for (unsigned int i = 1; i <= 10; ++i)
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{
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mean.InsertData(value * i);
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mean.InsertData(-value * i);
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EXPECT_NEAR(mean.Value(), 0.0, 1e-10);
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EXPECT_EQ(mean.Count(), i*2);
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}
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// Reset
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mean.Reset();
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EXPECT_DOUBLE_EQ(mean.Value(), 0.0);
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EXPECT_EQ(mean.Count(), 0u);
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}
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}
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}
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TEST_F(SignalStatsTest, SignalRootMeanSquare)
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{
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{
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// Constructor
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math::SignalRootMeanSquare rms;
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EXPECT_DOUBLE_EQ(rms.Value(), 0.0);
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EXPECT_EQ(rms.Count(), 0u);
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EXPECT_EQ(rms.ShortName(), std::string("rms"));
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// Reset
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rms.Reset();
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EXPECT_DOUBLE_EQ(rms.Value(), 0.0);
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EXPECT_EQ(rms.Count(), 0u);
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}
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{
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// Constant values, rms should match
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math::SignalRootMeanSquare rms;
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EXPECT_DOUBLE_EQ(rms.Value(), 0.0);
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EXPECT_EQ(rms.Count(), 0u);
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const double value = 3.14159;
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// Loop two times to verify Reset
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for (int j = 0; j < 2; ++j)
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{
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for (unsigned int i = 1; i <= 10; ++i)
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{
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rms.InsertData(value);
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EXPECT_NEAR(rms.Value(), value, 1e-10);
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EXPECT_EQ(rms.Count(), i);
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}
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// Reset
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rms.Reset();
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EXPECT_DOUBLE_EQ(rms.Value(), 0.0);
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EXPECT_EQ(rms.Count(), 0u);
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}
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}
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{
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// Values with alternating sign, same magnitude
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// rms should match absolute value every time
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math::SignalRootMeanSquare rms;
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EXPECT_DOUBLE_EQ(rms.Value(), 0.0);
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EXPECT_EQ(rms.Count(), 0u);
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const double value = 3.14159;
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// Loop two times to verify Reset
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for (int j = 0; j < 2; ++j)
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{
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for (unsigned int i = 1; i <= 10; ++i)
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{
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rms.InsertData(value);
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EXPECT_NEAR(rms.Value(), value, 1e-10);
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EXPECT_EQ(rms.Count(), i*2-1);
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rms.InsertData(-value);
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EXPECT_NEAR(rms.Value(), value, 1e-10);
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EXPECT_EQ(rms.Count(), i*2);
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}
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// Reset
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rms.Reset();
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EXPECT_DOUBLE_EQ(rms.Value(), 0.0);
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EXPECT_EQ(rms.Count(), 0u);
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}
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}
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}
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TEST_F(SignalStatsTest, SignalMaxAbsoluteValue)
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{
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{
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// Constructor
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math::SignalMaxAbsoluteValue max;
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EXPECT_DOUBLE_EQ(max.Value(), 0.0);
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EXPECT_EQ(max.Count(), 0u);
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EXPECT_EQ(max.ShortName(), std::string("maxAbs"));
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// Reset
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max.Reset();
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EXPECT_DOUBLE_EQ(max.Value(), 0.0);
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EXPECT_EQ(max.Count(), 0u);
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}
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{
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// Constant values, max should match
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math::SignalMaxAbsoluteValue max;
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EXPECT_DOUBLE_EQ(max.Value(), 0.0);
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EXPECT_EQ(max.Count(), 0u);
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const double value = 3.14159;
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// Loop two times to verify Reset
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for (int j = 0; j < 2; ++j)
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{
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for (unsigned int i = 1; i <= 10; ++i)
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{
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max.InsertData(value);
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EXPECT_NEAR(max.Value(), value, 1e-10);
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EXPECT_EQ(max.Count(), i);
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}
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// Reset
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max.Reset();
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EXPECT_DOUBLE_EQ(max.Value(), 0.0);
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EXPECT_EQ(max.Count(), 0u);
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}
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}
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{
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// Values with alternating sign, increasing magnitude
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// max should match absolute value every time
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math::SignalMaxAbsoluteValue max;
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EXPECT_DOUBLE_EQ(max.Value(), 0.0);
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EXPECT_EQ(max.Count(), 0u);
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const double value = 3.14159;
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// Loop two times to verify Reset
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for (int j = 0; j < 2; ++j)
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{
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for (unsigned int i = 1; i <= 10; ++i)
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{
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max.InsertData(value * i);
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EXPECT_NEAR(max.Value(), value * i, 1e-10);
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EXPECT_EQ(max.Count(), i*2-1);
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max.InsertData(-value * i);
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EXPECT_NEAR(max.Value(), value * i, 1e-10);
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EXPECT_EQ(max.Count(), i*2);
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}
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// Reset
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max.Reset();
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EXPECT_DOUBLE_EQ(max.Value(), 0.0);
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EXPECT_EQ(max.Count(), 0u);
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}
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}
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}
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TEST_F(SignalStatsTest, SignalStats)
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{
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{
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// Constructor
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math::SignalStats stats;
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EXPECT_TRUE(stats.Map().empty());
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EXPECT_EQ(stats.Count(), 0u);
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// Reset
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stats.Reset();
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EXPECT_TRUE(stats.Map().empty());
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EXPECT_EQ(stats.Count(), 0u);
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}
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{
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// InsertStatistic
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math::SignalStats stats;
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EXPECT_TRUE(stats.Map().empty());
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EXPECT_TRUE(stats.InsertStatistic("maxAbs"));
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EXPECT_FALSE(stats.InsertStatistic("maxAbs"));
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EXPECT_FALSE(stats.Map().empty());
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EXPECT_TRUE(stats.InsertStatistic("mean"));
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EXPECT_FALSE(stats.InsertStatistic("mean"));
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EXPECT_FALSE(stats.Map().empty());
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EXPECT_TRUE(stats.InsertStatistic("rms"));
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EXPECT_FALSE(stats.InsertStatistic("rms"));
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EXPECT_FALSE(stats.Map().empty());
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EXPECT_FALSE(stats.InsertStatistic("FakeStatistic"));
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// Map with no data
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std::map<std::string, double> map = stats.Map();
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EXPECT_FALSE(map.empty());
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EXPECT_EQ(map.size(), 3u);
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EXPECT_EQ(map.count("maxAbs"), 1u);
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EXPECT_EQ(map.count("mean"), 1u);
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EXPECT_EQ(map.count("rms"), 1u);
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EXPECT_EQ(map.count("FakeStatistic"), 0u);
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}
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{
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// InsertStatistics
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math::SignalStats stats;
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EXPECT_FALSE(stats.InsertStatistics(""));
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EXPECT_TRUE(stats.Map().empty());
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EXPECT_TRUE(stats.InsertStatistics("maxAbs,rms"));
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EXPECT_FALSE(stats.InsertStatistics("maxAbs,rms"));
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EXPECT_FALSE(stats.InsertStatistics("maxAbs"));
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EXPECT_FALSE(stats.InsertStatistics("rms"));
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EXPECT_FALSE(stats.Map().empty());
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EXPECT_FALSE(stats.InsertStatistics("mean,FakeStatistic"));
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EXPECT_FALSE(stats.Map().empty());
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EXPECT_FALSE(stats.InsertStatistics("FakeStatistic"));
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// Map with no data
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std::map<std::string, double> map = stats.Map();
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EXPECT_FALSE(map.empty());
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EXPECT_EQ(map.size(), 3u);
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EXPECT_EQ(map.count("maxAbs"), 1u);
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EXPECT_EQ(map.count("mean"), 1u);
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EXPECT_EQ(map.count("rms"), 1u);
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EXPECT_EQ(map.count("FakeStatistic"), 0u);
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}
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{
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// Add some statistics
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math::SignalStats stats;
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EXPECT_TRUE(stats.InsertStatistics("maxAbs,mean,rms"));
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EXPECT_EQ(stats.Map().size(), 3u);
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// No data yet
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EXPECT_EQ(stats.Count(), 0u);
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// Insert data with alternating signs
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const double value = 3.14159;
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stats.InsertData(value);
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stats.InsertData(-value);
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EXPECT_EQ(stats.Count(), 2u);
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{
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std::map<std::string, double> map = stats.Map();
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EXPECT_NEAR(map["maxAbs"], value, 1e-10);
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EXPECT_NEAR(map["rms"], value, 1e-10);
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EXPECT_NEAR(map["mean"], 0.0, 1e-10);
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}
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stats.Reset();
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EXPECT_EQ(stats.Map().size(), 3u);
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EXPECT_EQ(stats.Count(), 0u);
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{
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std::map<std::string, double> map = stats.Map();
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EXPECT_DOUBLE_EQ(map["maxAbs"], 0.0);
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EXPECT_DOUBLE_EQ(map["rms"], 0.0);
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EXPECT_DOUBLE_EQ(map["mean"], 0.0);
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}
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}
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}
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