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RollingMean.cc
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/*
* Copyright (C) 2019 Open Source Robotics Foundation
*
* 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 <numeric>
#include <limits>
#include <deque>
#include "gz/math/RollingMean.hh"
using namespace gz::math;
/// \brief Private data
class gz::math::RollingMean::Implementation
{
/// \brief The window size
public: size_t windowSize{10};
/// \brief The values.
public: std::deque<double> values;
};
//////////////////////////////////////////////////
RollingMean::RollingMean(size_t _windowSize)
: dataPtr(gz::utils::MakeImpl<Implementation>())
{
if (_windowSize > 0)
this->dataPtr->windowSize = _windowSize;
}
//////////////////////////////////////////////////
double RollingMean::Mean() const
{
if (!this->dataPtr->values.empty())
{
return std::accumulate(
this->dataPtr->values.begin(), this->dataPtr->values.end(), 0.0) /
this->dataPtr->values.size();
}
return std::numeric_limits<double>::quiet_NaN();
}
//////////////////////////////////////////////////
size_t RollingMean::Count() const
{
return this->dataPtr->values.size();
}
//////////////////////////////////////////////////
void RollingMean::Push(double _value)
{
this->dataPtr->values.push_back(_value);
while (this->dataPtr->values.size() > this->dataPtr->windowSize &&
!this->dataPtr->values.empty())
{
this->dataPtr->values.pop_front();
}
}
//////////////////////////////////////////////////
void RollingMean::Clear()
{
this->dataPtr->values.clear();
}
//////////////////////////////////////////////////
void RollingMean::SetWindowSize(size_t _windowSize)
{
if (_windowSize > 0)
{
this->dataPtr->windowSize = _windowSize;
this->Clear();
}
}
//////////////////////////////////////////////////
size_t RollingMean::WindowSize() const
{
return this->dataPtr->windowSize;
}