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Reliability-functionality.cpp
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Reliability-functionality.cpp
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//===- examples/agent-functionalities/Reliability-functionality.cpp *C++-*-===//
//
// The RoSA Framework
//
//===----------------------------------------------------------------------===//
///
/// \file examples/agent-functionalities/Reliability-functionality.cpp
///
/// \author Daniel Schnoell (daniel.schnoell@tuwien.ac.at )
///
/// \date 2019
///
/// \brief A simple example on defining \c rosa::Agent instances using
/// Relianility Functionalities.
///
//===----------------------------------------------------------------------===//
#define Reliability_trace_level 5
#include "rosa/config/version.h"
#include "rosa/core/Agent.hpp"
#include "rosa/core/MessagingSystem.hpp"
#include "rosa/support/log.h"
#include "rosa/support/terminal_colors.h"
#include "rosa/agent/Reliability.h"
#include "rosa/agent/RangeConfidence.hpp"
#include "rosa/agent/CrossReliability.h"
#include <vector>
#include <map>
using namespace rosa::agent;
int main(void)
{
typedef double SensorValueType;
typedef long StateType;
typedef double ReliabilityType;
// defining Range confidence
std::unique_ptr<RangeConfidence<ReliabilityType, StateType, SensorValueType>> Confidence(new RangeConfidence<ReliabilityType, StateType, SensorValueType>({
{0, PartialFunction<double, double>({
{{0, 3}, std::make_shared<LinearFunction<double, double>>
(0, 1.0/3)},
{{3, 6}, std::make_shared<LinearFunction<double, double>>
(1, 0)},
{{6, 9}, std::make_shared<LinearFunction<double, double>>
(3.0, -1.0/3)},
},0)},
{1, PartialFunction<double, double>({
{{6, 9}, std::make_shared<LinearFunction<double, double>>
(-2, 1.0/3)},
{{9, 12}, std::make_shared<LinearFunction<double, double>>
(1, 0)},
{{12, 15}, std::make_shared<LinearFunction<double, double>>
(5, -1.0/3)},
},0)},
{2, PartialFunction<double, double>({
{{12, 15}, std::make_shared<LinearFunction<double, double>>
(-4, 1.0/3)},
{{15, 18}, std::make_shared<LinearFunction<double, double>>
(1, 0)},
{{18, 21}, std::make_shared<LinearFunction<double, double>>
(7, -1.0/3)},
},0)}
}));
std::unique_ptr<Abstraction<SensorValueType, ReliabilityType>> Reliability(new LinearFunction<SensorValueType, ReliabilityType>(1,-1.0/9));
std::unique_ptr<Abstraction<SensorValueType, ReliabilityType>> ReliabilitySlope(new LinearFunction<SensorValueType, ReliabilityType>(1, -1.0/9));
std::unique_ptr<Abstraction<std::size_t, ReliabilityType>> TimeConfidence(new LinearFunction<std::size_t, ReliabilityType>(1, -1.0/9));
auto lowlevel = new LowLevel <SensorValueType, StateType, ReliabilityType>();
std::vector<long> states;
states.push_back(0);
states.push_back(1);
states.push_back(2);
lowlevel->setConfidenceFunction(Confidence);
lowlevel->setReliabilityFunction(Reliability);
lowlevel->setReliabilitySlopeFunction(ReliabilitySlope);
lowlevel->setTimeConfidenceFunction(TimeConfidence);
lowlevel->setStates(states);
lowlevel->setHistoryLength(2);
lowlevel->setValueSetCounter(1);
/* ----------------------------- Do Something ---------------------------------------------------------------- */
for ( int a= 0 ; a <10 ; a++)
std::cout <<"a: " << a << "\n" << (lowlevel->feedback({{0,0},{1,0.3},{2,0.5}}),lowlevel->operator()(a)) << "\n";
/* ----------------------------- Cleanup --------------------------------------------------------------------- */
std::cout << "------------------------------------------------------------------------------------------------\n";
std::cout << "------------------------------------High level Test---------------------------------------------\n";
std::unique_ptr<RangeConfidence<ReliabilityType, StateType, SensorValueType>> Confidence2(new RangeConfidence<ReliabilityType, StateType, SensorValueType>({
{0, PartialFunction<double, double>({
{{0, 3}, std::make_shared<LinearFunction<double, double>>
(0, 1.0/3)},
{{3, 6}, std::make_shared<LinearFunction<double, double>>
(1, 0)},
{{6, 9}, std::make_shared<LinearFunction<double, double>>
(3.0, -1.0/3)},
},0)},
{1, PartialFunction<double, double>({
{{6, 9}, std::make_shared<LinearFunction<double, double>>
(-2, 1.0/3)},
{{9, 12}, std::make_shared<LinearFunction<double, double>>
(1, 0)},
{{12, 15}, std::make_shared<LinearFunction<double, double>>
(5, -1.0/3)},
},0)},
{2, PartialFunction<double, double>({
{{12, 15}, std::make_shared<LinearFunction<double, double>>
(-4, 1.0/3)},
{{15, 18}, std::make_shared<LinearFunction<double, double>>
(1, 0)},
{{18, 21}, std::make_shared<LinearFunction<double, double>>
(7, -1.0/3)},
},0)}
}));
std::unique_ptr<Abstraction<SensorValueType, ReliabilityType>> Reliability2( new LinearFunction<SensorValueType, ReliabilityType>(1,-1.0/9));
std::unique_ptr< Abstraction<SensorValueType, ReliabilityType>> ReliabilitySlope2(new LinearFunction<SensorValueType, ReliabilityType>(1, -1.0/9));
std::unique_ptr<Abstraction<std::size_t, ReliabilityType>> TimeConfidence2(new LinearFunction<std::size_t, ReliabilityType>(1, -1.0/9));
auto lowlevel2 = new LowLevel <SensorValueType, StateType, ReliabilityType>();
std::vector<long> states2;
states2.push_back(0);
states2.push_back(1);
states2.push_back(2);
lowlevel2->setConfidenceFunction(Confidence2);
lowlevel2->setReliabilityFunction(Reliability2);
lowlevel2->setReliabilitySlopeFunction(ReliabilitySlope2);
lowlevel2->setTimeConfidenceFunction(TimeConfidence2);
lowlevel2->setStates(states2);
lowlevel2->setHistoryLength(2);
lowlevel2->setValueSetCounter(1);
HighLevel<StateType,ReliabilityType>* highlevel=new HighLevel<StateType,ReliabilityType>();
std::unique_ptr<CrossReliability<StateType,ReliabilityType>> CrossReliability1(new CrossReliability<StateType,ReliabilityType>());
Abstraction<long,double>* func1=new PartialFunction<long, double>({
{{0, 1}, std::make_shared<LinearFunction<long, double>>
(1, 0)},
{{1,2}, std::make_shared<LinearFunction<long, double>>
(2, -1.0)},
},0);
CrossReliability1->addCrossReliabilityProfile(0,1,func1);
CrossReliability1->setCrossReliabilityMethod(CrossReliability<StateType,ReliabilityType>::AVERAGE);
CrossReliability1->setCrossReliabilityParameter(1);
std::unique_ptr<CrossConfidence<StateType,ReliabilityType>> CrossConfidence1( new CrossConfidence<StateType,ReliabilityType>());
Abstraction<long,double>* func2=new PartialFunction<long, double>({
{{0, 1}, std::make_shared<LinearFunction<long, double>>
(1, 0)},
{{1,2}, std::make_shared<LinearFunction<long, double>>
(2, -1.0)},
},0);
CrossConfidence1->addCrossReliabilityProfile(0,1,func2);
CrossConfidence1->setCrossReliabilityMethod(CrossConfidence<StateType,ReliabilityType>::AVERAGE);
CrossConfidence1->setCrossReliabilityParameter(1);
highlevel->setFunction(CrossConfidence1);
highlevel->setFunction(CrossReliability1);
highlevel->addStates(0,states);
highlevel->addStates(1,states);
for ( int a= 0 ; a <21 ; a++)
{
auto out1=lowlevel->operator()(a),out2=lowlevel2->operator()(21-a);
std::cout << "s1: " << out1 << "\ns2:" << out2 << "\n";
std::vector<std::tuple<rosa::id_t, StateType, ReliabilityType>> tmp2;
tmp2.push_back({0,out1.score,out1.Reliability});
tmp2.push_back({1,out2.score,out2.Reliability});
auto out_o=highlevel->operator()(tmp2);
std::cout << "it: " << a << "\t rel: " << out_o.CrossReliability << "\n";
std::cout << "\t subs:\n";
for (auto q:out_o.CrossConfidence)
{
std::cout<< "\t\t id:" << q.first << "\n";
/*
for(auto z: q.second)
{
std::cout << "\t\t\t score: " << z.score << "\tRel: " << z.Reliability << "\n";
tmp.push_back({z.score,z.Reliability});
}
*/
for(auto z: q.second)
{
std::cout << "\t\t\t score: " << z.score << "\tRel: " << z.Reliability << "\n";
}
if(q.first==0)
lowlevel->feedback(q.second);
else
lowlevel2->feedback(q.second);
}
}
delete lowlevel;
delete lowlevel2;
}

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