💿🐜 Antkeeper source code https://antkeeper.com
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/*
* Copyright (C) 2023 Christopher J. Howard
*
* This file is part of Antkeeper source code.
*
* Antkeeper source code is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* Antkeeper source code is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with Antkeeper source code. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef ANTKEEPER_MATH_MOVING_AVERAGE_HPP
#define ANTKEEPER_MATH_MOVING_AVERAGE_HPP
#include <algorithm>
#include <cstdint>
#include <vector>
namespace math {
/**
* Calculates a moving average.
*
* @tparam T Value type.
* @tparam N Sample capacity.
*/
template <class T, std::size_t N>
class moving_average
{
public:
/// Type of value to average.
typedef T value_type;
/// Constructs a moving average
moving_average():
m_sample_index{0},
m_sum{0},
m_average{0}
{}
/**
* Adds a sample to the moving average. If the moving average has reached its sample capacity, the oldest sample will be discarded.
*
* @param value Sample value.
*
* @return Current average value.
*/
value_type operator()(value_type value) noexcept
{
m_sum += value;
if (m_sample_index < N)
{
m_samples[m_sample_index] = value;
++m_sample_index;
m_average = m_sum / static_cast<value_type>(m_sample_index);
}
else
{
value_type& sample = m_samples[m_sample_index % N];
m_sum -= sample;
sample = value;
++m_sample_index;
m_average = m_sum / static_cast<value_type>(N);
}
return m_average;
}
/**
* Resets the moving average.
*/
void reset() noexcept
{
m_sample_index = 0;
m_sum = value_type{0};
m_average = value_type{0};
}
/// Returns a pointer to the sample data.
[[nodiscard]] inline constexpr value_type* data() const noexcept
{
return m_samples.data();
}
/// Returns the current moving average value.
[[nodiscard]] inline value_type average() const noexcept
{
return m_average;
}
///Returns the sum of all current samples.
[[nodiscard]] inline value_type sum() const noexcept
{
return m_sum;
}
/// Returns the current number of samples.
[[nodiscard]] inline std::size_t size() const noexcept
{
return std::min<std::size_t>(m_sample_index, N);
}
/// Returns the maximum number of samples.
[[nodiscard]] inline constexpr std::size_t capacity() const noexcept
{
return N;
}
/// Return `true` if there are currently no samples in the average, `false` otherwise.
[[nodiscard]] inline constexpr bool empty() const noexcept
{
return !m_sample_index;
}
/// Return `true` if the number of samples in the average has reached its capacity, `false` otherwise.
[[nodiscard]] inline constexpr bool full() const noexcept
{
return m_sample_index >= N;
}
private:
std::size_t m_sample_index;
value_type m_samples[N];
value_type m_sum;
value_type m_average;
};
} // namespace math
#endif // ANTKEEPER_MATH_MOVING_AVERAGE_HPP