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/*
* Copyright (c) 2008-2017, NVIDIA CORPORATION. All rights reserved.
*
* NVIDIA CORPORATION and its licensors retain all intellectual property
* and proprietary rights in and to this software, related documentation
* and any modifications thereto. Any use, reproduction, disclosure or
* distribution of this software and related documentation without an express
* license agreement from NVIDIA CORPORATION is strictly prohibited.
*/
#ifndef __APEX_CONSTRAINED_DISTRIBUTOR_H__
#define __APEX_CONSTRAINED_DISTRIBUTOR_H__
#include "Apex.h"
#include "PsUserAllocated.h"
namespace nvidia
{
namespace apex
{
template <typename T = uint32_t>
class ApexConstrainedDistributor
{
public:
ApexConstrainedDistributor()
{
}
PX_INLINE void resize(uint32_t size)
{
mConstraintDataArray.resize(size);
}
PX_INLINE void setBenefit(uint32_t index, float benefit)
{
PX_ASSERT(index < mConstraintDataArray.size());
mConstraintDataArray[index].benefit = benefit;
}
PX_INLINE void setTargetValue(uint32_t index, T targetValue)
{
PX_ASSERT(index < mConstraintDataArray.size());
mConstraintDataArray[index].targetValue = targetValue;
}
PX_INLINE T getResultValue(uint32_t index) const
{
PX_ASSERT(index < mConstraintDataArray.size());
return mConstraintDataArray[index].resultValue;
}
void solve(T totalValueLimit)
{
uint32_t size = mConstraintDataArray.size();
if (size == 0)
{
return;
}
if (size == 1)
{
ConstraintData& data = mConstraintDataArray.front();
data.resultValue = PxMin(data.targetValue, totalValueLimit);
return;
}
float totalBenefit = 0;
T totalValue = 0;
for (uint32_t i = 0; i < size; i++)
{
ConstraintData& data = mConstraintDataArray[i];
totalBenefit += data.benefit;
totalValue += data.targetValue;
data.resultValue = data.targetValue;
}
if (totalValue <= totalValueLimit)
{
//resultValue was setted in prev. for-scope
return;
}
mConstraintSortPairArray.resize(size);
for (uint32_t i = 0; i < size; i++)
{
ConstraintData& data = mConstraintDataArray[i];
data.weight = (totalValueLimit * data.benefit / totalBenefit);
if (data.weight > 0)
{
mConstraintSortPairArray[i].key = (data.targetValue / data.weight);
}
else
{
mConstraintSortPairArray[i].key = FLT_MAX;
data.resultValue = 0; //reset resultValue
}
mConstraintSortPairArray[i].index = i;
}
nvidia::sort(mConstraintSortPairArray.begin(), size, ConstraintSortPredicate());
for (uint32_t k = 0; k < size; k++)
{
float firstKey = mConstraintSortPairArray[k].key;
if (firstKey == FLT_MAX)
{
break;
}
ConstraintData& firstData = mConstraintDataArray[mConstraintSortPairArray[k].index];
//special case when k == i
float sumWeight = firstData.weight;
T sum = firstData.targetValue;
for (uint32_t i = k + 1; i < size; i++)
{
const ConstraintData& data = mConstraintDataArray[mConstraintSortPairArray[i].index];
sumWeight += data.weight;
const T value = static_cast<T>(firstKey * data.weight);
PX_ASSERT(value <= data.targetValue);
sum += value;
}
if (sum > totalValueLimit)
{
for (uint32_t i = k; i < size; i++)
{
ConstraintData& data = mConstraintDataArray[mConstraintSortPairArray[i].index];
const T value = static_cast<T>(totalValueLimit * data.weight / sumWeight);
PX_ASSERT(value <= data.targetValue);
data.resultValue = value;
}
break;
}
//allready here: firstData.resultData = firstData.targetValue
totalValueLimit -= firstData.targetValue;
}
}
private:
struct ConstraintData
{
float benefit; //input benefit
T targetValue; //input constraint on value
float weight; //temp
T resultValue; //output
};
struct ConstraintSortPair
{
float key;
uint32_t index;
};
class ConstraintSortPredicate
{
public:
PX_INLINE bool operator()(const ConstraintSortPair& a, const ConstraintSortPair& b) const
{
return a.key < b.key;
}
};
physx::Array<ConstraintData> mConstraintDataArray;
physx::Array<ConstraintSortPair> mConstraintSortPairArray;
};
}
} // end namespace nvidia::apex
#endif
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