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https://github.com/PhasicFlow/phasicFlow.git
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modify for coupling-cpp and hpp
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278
utilities/particlesPhasicFlow/positionRandom/positionRandom.cpp
Executable file
278
utilities/particlesPhasicFlow/positionRandom/positionRandom.cpp
Executable file
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/*------------------------------- phasicFlow ---------------------------------
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O C enter of
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O O E ngineering and
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O O M ultiscale modeling of
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OOOOOOO F luid flow
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------------------------------------------------------------------------------
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Copyright (C): www.cemf.ir
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email: hamid.r.norouzi AT gmail.com
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------------------------------------------------------------------------------
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Licence:
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This file is part of phasicFlow code. It is a free software for simulating
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granular and multiphase flows. You can redistribute it and/or modify it under
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the terms of GNU General Public License v3 or any other later versions.
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phasicFlow is distributed to help others in their research in the field of
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granular and multiphase flows, but WITHOUT ANY WARRANTY; without even the
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implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
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-----------------------------------------------------------------------------*/
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#include "positionRandom.hpp"
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#include "uniformRandomReal.hpp"
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#include "NBSLevel0.hpp"
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#include "unsortedPairs.hpp"
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#include "box.hpp"
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namespace pFlow
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{
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using SearchType = NBSLevel0<DefaultExecutionSpace> ;
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using ContainerType = unsortedPairs<DefaultExecutionSpace, int32>;
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int32 findCollisions(
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ContainerType& pairs,
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int32Vector_HD& flags);
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int32 findCollisions(int32 num, realx3Vector_HD& points, real diam)
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{
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int32 res =0;
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for(auto i=0; i<num;i++)
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{
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for(auto j=i+1; j<num; j++)
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{
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if(sphereSphereCheck(points[i],points[j],diam,diam))res++;
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}
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}
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return res;
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}
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}
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bool pFlow::positionRandom::positionOnePass(int32 pass, int32 startNum)
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{
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realVector_D diameter(startNum , diameter_);
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int32Vector_HD flagHD(startNum, 0);
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realx3Vector_HD positionHD(startNum);
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auto minP = region_->minPoint();
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auto maxP = region_->maxPoint();
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SearchType search(
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box(minP, maxP),
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diameter_,
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positionHD.deviceVectorAll(),
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diameter.deviceVectorAll());
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ContainerType pairs(3*startNum);
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Report(1)<< "Positioning "<<
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greenText("(Pass #"<< pass+1<<")")<<
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": started with "<< startNum <<" points."<<endReport;
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fillPoints(startNum, positionHD, flagHD);
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search.broadSearch(pairs, range(0, startNum));
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int32 numCollisions = findCollisions(pairs, flagHD);
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Report(2)<< "Positioned " << cyanText(startNum - numCollisions) <<
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" without collision \n"<<endReport;
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if(startNum-numCollisions >= numPoints_ )
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{
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Report(1)<<"Selected "<< cyanText(numPoints_)<< " for the final field.\n"<<endReport;
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positionHD.syncViews();
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position_.clear();
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int32 n=0;
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for(int32 i=0; i<startNum; i++)
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{
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if(flagHD[i] == 0 )
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{
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position_.push_back( positionHD[i]);
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n++;
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if(n==numPoints_)break;
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}
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}
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return true;
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}
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return false;
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}
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bool pFlow::positionRandom::positionPointsRandom()
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{
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position_.clear();
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if(numPoints_ == 0)return true;
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size_t pass = 0;
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int32 startNum = numPoints_;
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while ( pass <maxIterations_)
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{
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if( positionOnePass(pass, startNum) )return true;
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startNum = 1.1*startNum+1;
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pass++;
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}
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fatalErrorInFunction<<
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" cannot position "<< numPoints_ << " in the domain in " << maxIterations_ << " iterations.\n" <<
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" you may increase maxIterations for positioning points.\n";
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return false;
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}
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bool pFlow::positionRandom::inCollision
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(
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const realx3 &cntr,
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real diam
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)
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{
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for(const auto& cp: position_)
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{
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if( length(cp-cntr) <= diam ) return true;
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}
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return false;
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}
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pFlow::positionRandom::positionRandom
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(
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const dictionary& dict
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)
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:
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positionParticles(dict),
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prDict_
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(
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dict.subDict("positionRandomInfo")
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),
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diameter_
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(
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prDict_.getVal<real>("diameter")
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),
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numPoints_
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(
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prDict_.getVal<size_t>("numPoints")
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),
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maxIterations_
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(
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prDict_.getValOrSet("maxIterations", 10)
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),
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position_
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(
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maxNumberOfParticles_, RESERVE()
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)
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{
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reportInterval_ = max(numPoints_/numReports_, static_cast<size_t>(2));
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if( !positionPointsRandom() )
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{
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fatalExit;
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}
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if(!region_)
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{
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fatalErrorInFunction<<"You must provided a region (box, cylinder, ...) for positioning particles in dictionary "<<
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dict.globalName()<<endl;
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fatalExit;
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}
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}
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void pFlow::positionRandom::fillPoints(
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uint numPoints,
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realx3Vector_HD& points,
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int32Vector_HD& flags )
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{
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uniformRandomReal rand;
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auto minP = region_().minPoint();
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auto maxP = region_().maxPoint();
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for(size_t i=0; i<numPoints; i++)
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{
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if(flags[i] == 0)
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{
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bool loop=true;
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size_t n=0;
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while (loop)
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{
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auto pos = rand(minP, maxP);
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if( region_().isInside(pos))
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{
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points[i] =pos;
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loop = false;
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}
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n++;
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if(n>100)
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{
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fatalErrorInFunction<<
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"could not find a point inside region"<<region_->name()<<endl;
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fatalExit;
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}
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}
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}
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}
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points.modifyOnHost();
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points.syncViews();
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}
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pFlow::int32 pFlow::findCollisions(
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ContainerType& pairs,
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int32Vector_HD& flags)
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{
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auto allPairs = pairs.getPairs();
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auto num = pairs.capacity();
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auto dFlags = flags.deviceVector();
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int32 numCollisions = 0;
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Kokkos::parallel_reduce(
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"positionRandom::findCollisions",
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num,
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LAMBDA_HD(int32 i, int32& valueToUpdate){
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if(allPairs.isValid(i))
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{
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auto pair = allPairs.getPair(i);
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if( dFlags[pair.first] ==0 )
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{
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dFlags[pair.first] = 1;
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valueToUpdate++;
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}
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}
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}, numCollisions);
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flags.modifyOnDevice();
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flags.syncViews();
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return numCollisions;
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}
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