// // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions // are met: // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above copyright // notice, this list of conditions and the following disclaimer in the // documentation and/or other materials provided with the distribution. // * Neither the name of NVIDIA CORPORATION nor the names of its // contributors may be used to endorse or promote products derived // from this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY // EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR // PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR // CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, // EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, // PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY // OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Copyright (c) 2018 NVIDIA Corporation. All rights reserved. // Copyright (c) 2004-2008 AGEIA Technologies, Inc. All rights reserved. // Copyright (c) 2001-2004 NovodeX AG. All rights reserved. #pragma once #include "Allocator.h" namespace nvidia { namespace cloth { struct MovingAverage { struct Element { uint32_t mCount; float mValue; }; public: MovingAverage(uint32_t n = 1) : mCount(0), mSize(n) { } bool empty() const { return mData.empty(); } uint32_t size() const { return mSize; } void resize(uint32_t n) { PX_ASSERT(n); mSize = n; trim(); } void reset() { mData.resize(0); mCount = 0; } void push(uint32_t n, float value) { n = PxMin(n, mSize); if(mData.empty() || mData.back().mValue != value) { Element element = { n, value }; mData.pushBack(element); } else { mData.back().mCount += n; } mCount += n; trim(); } float average() const { PX_ASSERT(!mData.empty()); float sum = 0.0f; Vector::Type::ConstIterator it = mData.begin(), end = mData.end(); for(; it != end; ++it) sum += it->mCount * it->mValue; // linear weight ramps at both ends for smoother average uint32_t n = mCount / 8; float ramp = 0.0f, temp = 0.0f; uint32_t countLo = (it = mData.begin())->mCount; uint32_t countHi = (--end)->mCount; for(uint32_t i = 0; i < n; ++i) { if(i == countLo) countLo += (++it)->mCount; if(i == countHi) countHi += (--end)->mCount; temp += it->mValue + end->mValue; ramp += temp; } uint32_t num = (mCount - n) * (n + 1); return (sum * (n + 1) - ramp) / num; } private: // remove oldest (front) values until mCount<=mSize void trim() { Vector::Type::Iterator it = mData.begin(); for(uint32_t k = mSize; k < mCount; it += k <= mCount) { k += it->mCount; it->mCount = k - mCount; } if(it != mData.begin()) mData.assign(it, mData.end()); mCount = PxMin(mCount, mSize); } Vector::Type mData; uint32_t mCount; uint32_t mSize; }; } }