| /* -*- Mode: C++; tab-width: 8; indent-tabs-mode: nil; c-basic-offset: 2 -*- */ |
| /* vim: set ts=8 sts=2 et sw=2 tw=80: */ |
| /* This Source Code Form is subject to the terms of the Mozilla Public |
| * License, v. 2.0. If a copy of the MPL was not distributed with this |
| * file, You can obtain one at http://mozilla.org/MPL/2.0/. */ |
| |
| /* A set abstraction for enumeration values. */ |
| |
| #ifndef mozilla_RollingMean_h_ |
| #define mozilla_RollingMean_h_ |
| |
| #include "mozilla/Assertions.h" |
| #include "mozilla/TypeTraits.h" |
| #include "mozilla/Vector.h" |
| |
| #include <stddef.h> |
| |
| namespace mozilla { |
| |
| /** |
| * RollingMean<T> calculates a rolling mean of the values it is given. It |
| * accumulates the total as values are added and removed. The second type |
| * argument S specifies the type of the total. This may need to be a bigger |
| * type in order to maintain that the sum of all values in the average doesn't |
| * exceed the maximum input value. |
| * |
| * WARNING: Float types are not supported due to rounding errors. |
| */ |
| template<typename T, typename S> |
| class RollingMean |
| { |
| private: |
| size_t mInsertIndex; |
| size_t mMaxValues; |
| Vector<T> mValues; |
| S mTotal; |
| |
| public: |
| static_assert(!IsFloatingPoint<T>::value, |
| "floating-point types are unsupported due to rounding " |
| "errors"); |
| |
| explicit RollingMean(size_t aMaxValues) |
| : mInsertIndex(0), |
| mMaxValues(aMaxValues), |
| mTotal(0) |
| { |
| MOZ_ASSERT(aMaxValues > 0); |
| } |
| |
| RollingMean& operator=(RollingMean&& aOther) |
| { |
| MOZ_ASSERT(this != &aOther, "self-assignment is forbidden"); |
| this->~RollingMean(); |
| new(this) RollingMean(aOther.mMaxValues); |
| mInsertIndex = aOther.mInsertIndex; |
| mTotal = aOther.mTotal; |
| mValues.swap(aOther.mValues); |
| return *this; |
| } |
| |
| /** |
| * Insert a value into the rolling mean. |
| */ |
| bool insert(T aValue) |
| { |
| MOZ_ASSERT(mValues.length() <= mMaxValues); |
| |
| if (mValues.length() == mMaxValues) { |
| mTotal = mTotal - mValues[mInsertIndex] + aValue; |
| mValues[mInsertIndex] = aValue; |
| } else { |
| if (!mValues.append(aValue)) { |
| return false; |
| } |
| mTotal = mTotal + aValue; |
| } |
| |
| mInsertIndex = (mInsertIndex + 1) % mMaxValues; |
| return true; |
| } |
| |
| /** |
| * Calculate the rolling mean. |
| */ |
| T mean() |
| { |
| MOZ_ASSERT(!empty()); |
| return T(mTotal / int64_t(mValues.length())); |
| } |
| |
| bool empty() |
| { |
| return mValues.empty(); |
| } |
| |
| /** |
| * Remove all values from the rolling mean. |
| */ |
| void clear() |
| { |
| mValues.clear(); |
| mInsertIndex = 0; |
| mTotal = T(0); |
| } |
| |
| size_t maxValues() |
| { |
| return mMaxValues; |
| } |
| }; |
| |
| } // namespace mozilla |
| |
| #endif // mozilla_RollingMean_h_ |