This example shows how to instantiate a sequence of merit values based on a component-by-component sequence of lattice definitions, and how to use signals in order to interrupt the computation of a weighted figure of merit when its value has become too large.
#include "latbuilder/WeightedFigureOfMerit.h"
#include "latcommon/ProductWeights.h"
#include "latcommon/CoordinateSets.h"
#include "latbuilder/ProjDepMerit/Spectral.h"
#include "latcommon/NormaBestLat.h"
#include "latbuilder/Accumulator.h"
#include "latbuilder/Storage.h"
#include "latbuilder/Functor/binary.h"
#include "latbuilder/MeritFilterList.h"
#include "latbuilder/MeritSeq/CBC.h"
#include "latbuilder/GenSeq/CoprimeIntegers.h"
#include "latbuilder/GenSeq/Creator.h"
#include "latbuilder/Functor/MinElement.h"
#include "latbuilder/TextStream.h"
#include <iostream>
#include <limits>
using TextStream::operator<<;
template <typename T, typename... ARGS>
std::unique_ptr<T> unique(ARGS&&... args)
{ return std::unique_ptr<T>(new T(std::forward<ARGS>(args)...)); }
class Observer {
public:
Observer() { reset(); }
void reset() { m_bestMerit = std::numeric_limits<Real>::infinity(); }
bool onProgress(
Real merit)
const
{ return merit <= m_bestMerit; }
void onAbort(const LatDef& lat) const
{ std::cout << "rejected " << lat << std::endl; }
void onMinUpdated(
const Real& bestMerit)
{ m_bestMerit = bestMerit; }
private:
};
template <LatType L, Compress C>
{
auto weights = unique<LatCommon::ProductWeights>();
weights->setDefaultWeight(0.7);
std::cout << "figure of merit: " << figure << std::endl;
Observer obs;
cbc.evaluator().onProgress().connect(boost::bind(&Observer::onProgress, &obs, _1));
cbc.evaluator().onAbort().connect(boost::bind(&Observer::onAbort, &obs, _1));
minElement.
onMinUpdated().connect(boost::bind(&Observer::onMinUpdated, &obs, _1));
while (
cbc.baseLat().dimension() < dimension) {
std::cout << "CBC search for dimension: " << (baseDim + 1) << std::endl;
std::cout <<
" base lattice: " <<
cbc.baseLat() << std::endl;
std::cout <<
" base merit value: " <<
cbc.baseMerit() << std::endl;
std::cout <<
" new projections: " <<
cbc.projections() << std::endl;
auto meritSeq =
cbc.meritSeq(baseDim == 0 ? genSeq0 : genSeq);
auto filteredSeq = filters.
apply(meritSeq);
obs.reset();
auto best = minElement(filteredSeq.begin(), filteredSeq.end());
std::cout <<
"BEST LATTICE: " <<
cbc.baseLat() <<
" with merit value " << *best << std::endl;
}
}
int main()
{
return 0;
}