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diff --git a/apps/ccam/ccam.cpp b/apps/ccam/ccam.cpp
index 8acea3f..e1668e6 100644
--- a/apps/ccam/ccam.cpp
+++ b/apps/ccam/ccam.cpp
@@ -1,383 +1,383 @@
//===-- apps/ccam/ccam.cpp --------------------------------------*- C++ -*-===//
//
// The RoSA Framework -- Application CCAM
//
//===----------------------------------------------------------------------===//
///
/// \file apps/ccam/ccam.cpp
///
/// \author Maximilian Goetzinger (maximilian.goetzinger@tuwien.ac.at)
/// \author Benedikt Tutzer (benedikt.tutzer@tuwien.ac.at)
///
/// \date 2019
///
/// \brief The application CCAM implements the case study from the paper:
/// M. Goetzinger, N. TaheriNejad, H. A. Kholerdi, A. Jantsch, E. Willegger,
/// T. Glatzl, A.M. Rahmani, T.Sauter, P. Liljeberg: Model - Free Condition
/// Monitoring with Confidence
//===----------------------------------------------------------------------===//
#include "rosa/agent/Abstraction.hpp"
#include "rosa/agent/Confidence.hpp"
#include "rosa/agent/FunctionAbstractions.hpp"
#include <iostream>
#include "rosa/config/version.h"
#include "rosa/agent/SignalStateDetector.hpp"
#include "rosa/agent/SystemStateDetector.hpp"
#include "rosa/deluxe/DeluxeContext.hpp"
#include "rosa/support/csv/CSVReader.hpp"
#include "rosa/support/csv/CSVWriter.hpp"
#include <fstream>
#include <limits>
#include <memory>
#include <streambuf>
#include "configuration.h"
using namespace rosa;
using namespace rosa::agent;
using namespace rosa::deluxe;
using namespace rosa::terminal;
const std::string AppName = "CCAM";
//@maxi I don't know what you want to do but if you want to have the agent be a
//"lowlevel" agent which gives its master a tuple with all of that info you have
// to do it as it is done in the #else. To be fair I don't know if the return
// SignalStateTuple(); is allowed
#if false
using SignalStateTuple =
std::tuple<Optional<float>, Optional<unsigned int>, Optional<float>,
Optional<uint8_t>, Optional<unsigned int>, Optional<bool>,
Optional<bool>, Optional<bool>, Optional<bool>>;
AgentHandle createSignalStateDetectorAgent(
std::unique_ptr<DeluxeContext> &C, const std::string &Name,
std::shared_ptr<
SignalStateDetector<float, float, float, HistoryPolicy::FIFO>>
SigSD) {
(void)SigSD;
using Handler = std::function<SignalStateTuple(std::pair<float, bool>)>;
return C->createAgent(
Name,
Handler([&Name, &SigSD](std::pair<float, bool> I) -> SignalStateTuple {
LOG_INFO_STREAM << "\n******\n"
<< Name << " " << (I.second ? "<New>" : "<Old>")
<< " value: " << I.first << "\n******\n";
auto StateInfo = SigSD->detectSignalState(I.first);
if (I.second)
return std::make_tuple(
Optional<float>(I.first),
Optional<unsigned int>(StateInfo.SignalStateID),
Optional<float>(StateInfo.SignalStateConfidence),
Optional<uint8_t>(StateInfo.SignalStateCondition),
Optional<unsigned int>(
StateInfo.NumberOfInsertedSamplesAfterEntrance),
Optional<bool>(StateInfo.SignalStateIsValid),
Optional<bool>(StateInfo.SignalStateJustGotValid),
Optional<bool>(StateInfo.SignalStateIsValidAfterReentrance),
Optional<bool>(StateInfo.SignalIsStable));
return SignalStateTuple();
}));
}
#else
using tup = DeluxeTuple<float, unsigned int, float, uint8_t, unsigned int, bool,
bool, bool, bool>;
using SignalStateTuple = Optional<tup>;
AgentHandle createSignalStateDetectorAgent(
std::unique_ptr<DeluxeContext> &C, const std::string &Name,
std::shared_ptr<
SignalStateDetector<float, float, float, HistoryPolicy::FIFO>>
SigSD) {
(void)SigSD;
using Handler =
std::function<SignalStateTuple(std::pair<DeluxeTuple<float>, bool>)>;
return C->createAgent(
Name,
Handler([&Name, &SigSD](
std::pair<DeluxeTuple<float>, bool> I) -> SignalStateTuple {
LOG_INFO_STREAM << "\n******\n"
<< Name << " " << (I.second ? "<New>" : "<Old>")
<< " value: " << std::get<0>(I.first) << "\n******\n";
auto StateInfo = SigSD->detectSignalState(std::get<0>(I.first));
if (I.second)
return {tup(
std::get<0>(I.first), StateInfo.SignalStateID,
StateInfo.SignalStateConfidence, StateInfo.SignalStateCondition,
StateInfo.NumberOfInsertedSamplesAfterEntrance,
StateInfo.SignalStateIsValid, StateInfo.SignalStateJustGotValid,
StateInfo.SignalStateIsValidAfterReentrance,
StateInfo.SignalIsStable)};
return SignalStateTuple();
}));
}
#endif
int main(int argc, char **argv) {
LOG_INFO_STREAM << '\n'
<< library_string() << " -- " << Color::Red << AppName
<< "app" << Color::Default << '\n';
if (argc < 2) {
LOG_ERROR("Specify config File!\nUsage:\n\tccam config.json");
return 1;
}
std::string ConfigPath = argv[1];
if (!readConfigFile(ConfigPath)) {
LOG_ERROR_STREAM << "Could not read config from \"" << ConfigPath << "\"\n";
return 2;
}
std::string InputFilePath, OutputFilePath;
LOG_INFO("Creating Context");
std::unique_ptr<DeluxeContext> C = DeluxeContext::create(AppName);
LOG_INFO("Creating sensors, SignalStateDetector functionalities and their "
"Abstractions.");
std::vector<AgentHandle> Sensors;
std::vector<std::shared_ptr<PartialFunction<float, float>>>
SampleMatchesFunctions;
std::vector<std::shared_ptr<PartialFunction<float, float>>>
SampleMismatchesFunctions;
std::vector<std::shared_ptr<PartialFunction<float, float>>>
SignalIsStableFunctions;
std::vector<std::shared_ptr<PartialFunction<float, float>>>
SignalIsDriftingFunctions;
std::vector<std::shared_ptr<StepFunction<float, float>>>
NumOfSamplesMatchFunctions;
std::vector<std::shared_ptr<StepFunction<float, float>>>
NumOfSamplesMismatchFunctions;
std::vector<SignalStateDetector<float, float, float, HistoryPolicy::FIFO>>
SignalStateDetectors;
std::vector<AgentHandle> SignalStateDetectorAgents;
for (auto SignalConfiguration : AppConfig.SignalConfigurations) {
//
// Create deluxe sensors.
//
Sensors.emplace_back(C->createSensor<float>(SignalConfiguration.Name));
//
// Create functionalities for SignalStateDetector.
//
SampleMatchesFunctions.emplace_back(new PartialFunction<float, float>(
{
{{-SignalConfiguration.OuterBound, -SignalConfiguration.InnerBound},
std::make_shared<LinearFunction<float, float>>(
-SignalConfiguration.OuterBound, 0.f,
-SignalConfiguration.InnerBound, 1.f)},
{{-SignalConfiguration.InnerBound, SignalConfiguration.InnerBound},
std::make_shared<LinearFunction<float, float>>(1.f, 0.f)},
{{SignalConfiguration.InnerBound, SignalConfiguration.OuterBound},
std::make_shared<LinearFunction<float, float>>(
SignalConfiguration.InnerBound, 1.f,
SignalConfiguration.OuterBound, 0.f)},
},
0));
SampleMismatchesFunctions.emplace_back(new PartialFunction<float, float>(
{
{{-SignalConfiguration.OuterBound, -SignalConfiguration.InnerBound},
std::make_shared<LinearFunction<float, float>>(
-SignalConfiguration.OuterBound, 1.f,
-SignalConfiguration.InnerBound, 0.f)},
{{-SignalConfiguration.InnerBound, SignalConfiguration.InnerBound},
std::make_shared<LinearFunction<float, float>>(0.f, 0.f)},
{{SignalConfiguration.InnerBound, SignalConfiguration.OuterBound},
std::make_shared<LinearFunction<float, float>>(
SignalConfiguration.InnerBound, 0.f,
SignalConfiguration.OuterBound, 1.f)},
},
1));
SignalIsStableFunctions.emplace_back(new PartialFunction<float, float>(
{
{{-SignalConfiguration.OuterBoundDrift,
-SignalConfiguration.InnerBoundDrift},
std::make_shared<LinearFunction<float, float>>(
-SignalConfiguration.OuterBoundDrift, 0.f,
-SignalConfiguration.InnerBoundDrift, 1.f)},
{{-SignalConfiguration.InnerBoundDrift,
SignalConfiguration.InnerBoundDrift},
std::make_shared<LinearFunction<float, float>>(1.f, 0.f)},
{{SignalConfiguration.InnerBoundDrift,
SignalConfiguration.OuterBoundDrift},
std::make_shared<LinearFunction<float, float>>(
SignalConfiguration.InnerBoundDrift, 1.f,
SignalConfiguration.OuterBoundDrift, 0.f)},
},
0));
SignalIsDriftingFunctions.emplace_back(new PartialFunction<float, float>(
{
{{-SignalConfiguration.OuterBoundDrift,
-SignalConfiguration.InnerBoundDrift},
std::make_shared<LinearFunction<float, float>>(
-SignalConfiguration.OuterBoundDrift, 1.f,
-SignalConfiguration.InnerBoundDrift, 0.f)},
{{-SignalConfiguration.InnerBoundDrift,
SignalConfiguration.InnerBoundDrift},
std::make_shared<LinearFunction<float, float>>(0.f, 0.f)},
{{SignalConfiguration.InnerBoundDrift,
SignalConfiguration.OuterBoundDrift},
std::make_shared<LinearFunction<float, float>>(
SignalConfiguration.InnerBoundDrift, 0.f,
SignalConfiguration.OuterBoundDrift, 1.f)},
},
1));
NumOfSamplesMatchFunctions.emplace_back(new StepFunction<float, float>(
1.0f / SignalConfiguration.SampleHistorySize, StepDirection::StepUp));
NumOfSamplesMismatchFunctions.emplace_back(new StepFunction<float, float>(
1.0f / SignalConfiguration.SampleHistorySize, StepDirection::StepDown));
//
// Create SignalStateDetector functionality
//
SignalStateDetectors.emplace_back(
std::numeric_limits<int>::max(), SampleMatchesFunctions.back(),
SampleMismatchesFunctions.back(), NumOfSamplesMatchFunctions.back(),
NumOfSamplesMismatchFunctions.back(), SignalIsDriftingFunctions.back(),
SignalIsStableFunctions.back(), SignalConfiguration.SampleHistorySize,
SignalConfiguration.DABSize, SignalConfiguration.DABHistorySize);
//
// Create low-level deluxe agents
//
// SignalStateDetectorAgents.push_back(createSignalStateDetectorAgent(
// C, SignalConfiguration.Name, SignalStateDetectors.back()));
//
// Connect sensors to low-level agents.
//
LOG_INFO("Connect sensors to their corresponding low-level agents.");
C->connectSensor(SignalStateDetectorAgents.back(), 0, Sensors.back(),
"HR Sensor Channel");
}
- std::shared_ptr<PartialFunction<float, float>> BrokenDelayFunction(
- new PartialFunction<float, float>(
+ std::shared_ptr<PartialFunction<uint32_t, float>> BrokenDelayFunction(
+ new PartialFunction<uint32_t, float>(
{{{0, AppConfig.BrokenCounter},
- std::make_shared<LinearFunction<float, float>>(
+ std::make_shared<LinearFunction<uint32_t, float>>(
0, 0.f, AppConfig.BrokenCounter, 1.f)},
- {{AppConfig.BrokenCounter, std::numeric_limits<float>::max()},
- std::make_shared<LinearFunction<float, float>>(1.f, 0.f)}},
- 0));
+ {{AppConfig.BrokenCounter, std::numeric_limits<uint32_t>::max()},
+ std::make_shared<LinearFunction<uint32_t, float>>(1.f, 0.f)}},
+ 0.f));
- std::shared_ptr<PartialFunction<float, float>> OkDelayFunction(
- new PartialFunction<float, float>(
+ std::shared_ptr<PartialFunction<uint32_t, float>> OkDelayFunction(
+ new PartialFunction<uint32_t, float>(
{{{0, AppConfig.BrokenCounter},
- std::make_shared<LinearFunction<float, float>>(
+ std::make_shared<LinearFunction<uint32_t, float>>(
0, 1.f, AppConfig.BrokenCounter, 0.f)},
- {{AppConfig.BrokenCounter, std::numeric_limits<float>::max()},
- std::make_shared<LinearFunction<float, float>>(0.f, 0.f)}},
- 1));
+ {{AppConfig.BrokenCounter, std::numeric_limits<uint32_t>::max()},
+ std::make_shared<LinearFunction<uint32_t, float>>(0.f, 0.f)}},
+ 1.f));
std::shared_ptr<
- SystemStateDetector<float, float, float, HistoryPolicy::FIFO, 5, 5>>
+ SystemStateDetector<uint32_t, float, float, HistoryPolicy::FIFO, 5, 5>>
SystemStateDetectorF(
- new SystemStateDetector<float, float, float, HistoryPolicy::FIFO, 5, 5>(
- std::numeric_limits<uint32_t>::max(), BrokenDelayFunction,
- OkDelayFunction));
+ new SystemStateDetector<uint32_t, float, float, HistoryPolicy::FIFO, 5,
+ 5>(std::numeric_limits<uint32_t>::max(),
+ BrokenDelayFunction, OkDelayFunction));
//
// Create a high-level deluxe agent.
//
LOG_INFO("Create high-level agent.");
// The new agent logs its input values and results in the the sum of them.
/** AgentHandle BodyAgent = C->createAgent(
"Body Agent",
DeluxeAgent::D<uint32_t, uint32_t, uint32_t, uint32_t, uint32_t,
uint32_t>(
[](std::pair<uint32_t, bool> HR, std::pair<uint32_t, bool> BR,
std::pair<uint32_t, bool> SpO2, std::pair<uint32_t, bool> BPSys,
std::pair<uint32_t, bool> BodyTemp) -> Optional<uint32_t> {
LOG_INFO_STREAM << "\n*******\nBody Agent trigged with values:\n"
<< (HR.second ? "<New>" : "<Old>")
<< " HR warning score: " << HR.first << "\n"
<< (BR.second ? "<New>" : "<Old>")
<< " BR warning score: " << BR.first << "\n"
<< (SpO2.second ? "<New>" : "<Old>")
<< " SpO2 warning score: " << SpO2.first << "\n"
<< (BPSys.second ? "<New>" : "<Old>")
<< " BPSys warning score: " << BPSys.first << "\n"
<< (BodyTemp.second ? "<New>" : "<Old>")
<< " BodyTemp warning score: " << BodyTemp.first
<< "\n******\n";
return {HR.first + BR.first + SpO2.first + BPSys.first +
BodyTemp.first};
}));
*/
//
// Connect low-level agents to the high-level agent.
//
LOG_INFO("Connect low-level agents to the high-level agent.");
/// C->connectAgents(BodyAgent, 0, HRAgent, "HR Agent Channel");
//
// For simulation output, create a logger agent writing the output of the
// high-level agent into a CSV file.
//
LOG_INFO("Create a logger agent.");
// Create CSV writer.
/// std::ofstream ScoreCSV(ScoreCSVPath);
/// csv::CSVWriter<uint32_t> ScoreWriter(ScoreCSV);
// The agent writes each new input value into a CSV file and produces nothing.
/** AgentHandle LoggerAgent = C->createAgent(
"Logger Agent",
DeluxeAgent::D<unit_t, uint32_t>(
[&ScoreWriter](std::pair<uint32_t, bool> Score) -> Optional<unit_t> {
if (Score.second) {
// The state of \p ScoreWriter is not checked, expecting good.
ScoreWriter << Score.first;
}
return {};
}));
*/
//
// Connect the high-level agent to the logger agent.
//
LOG_INFO("Connect the high-level agent to the logger agent.");
/// C->connectAgents(LoggerAgent, 0, BodyAgent, "Body Agent Channel");
//
// Do simulation.
//
LOG_INFO("Setting up and performing simulation.");
//
// Initialize deluxe context for simulation.
//
// C->initializeSimulation();
//
// Open CSV files and register them for their corresponding sensors.
//
//
// Simulate.
//
/// C->simulate(NumberOfSimulationCycles);
return 0;
}
diff --git a/include/rosa/agent/FunctionAbstractions.hpp b/include/rosa/agent/FunctionAbstractions.hpp
index a7442c6..c2e681e 100644
--- a/include/rosa/agent/FunctionAbstractions.hpp
+++ b/include/rosa/agent/FunctionAbstractions.hpp
@@ -1,360 +1,360 @@
//===-- rosa/agent/FunctionAbstractions.hpp ---------------------*- C++ -*-===//
//
// The RoSA Framework
//
//===----------------------------------------------------------------------===//
///
/// \file rosa/agent/FunctionAbstractions.hpp
///
/// \author Benedikt Tutzer (benedikt.tutzer@tuwien.ac.at)
///
/// \date 2019
///
/// \brief Definition of *FunctionAbstractions* *functionality*.
///
//===----------------------------------------------------------------------===//
#ifndef ROSA_AGENT_FUNCTIONABSTRACTIONS_HPP
#define ROSA_AGENT_FUNCTIONABSTRACTIONS_HPP
#include "rosa/agent/Abstraction.hpp"
#include "rosa/agent/Functionality.h"
#include "rosa/support/debug.hpp"
#include <algorithm>
#include <cmath>
#include <memory>
#include <vector>
namespace rosa {
namespace agent {
//@benedikt: check if your partialfunctions can take infinity as
// argument
/// Implements \c rosa::agent::Abstraction as a linear function,
/// y = Coefficient * X + Intercept.
///
/// \note This implementation is supposed to be used to represent a linear
/// function from an arithmetic domain to an arithmetic range. This is enforced
/// statically.
///
/// \tparam D type of the functions domain
/// \tparam R type of the functions range
template <typename D, typename R>
class LinearFunction : public Abstraction<D, R> {
// Make sure the actual type arguments are matching our expectations.
STATIC_ASSERT((std::is_arithmetic<D>::value),
"LinearFunction not arithmetic T");
STATIC_ASSERT((std::is_arithmetic<R>::value),
"LinearFunction not to arithmetic");
protected:
/// The Intercept of the linear function
- const D Intercept;
+ const R Intercept;
/// The Coefficient of the linear function
- const D Coefficient;
+ const R Coefficient;
public:
/// Creates an instance.
///
/// \param Intercept the intercept of the linear function
/// \param Coefficient the coefficient of the linear function
- LinearFunction(D Intercept, D Coefficient) noexcept
+ LinearFunction(R Intercept, R Coefficient) noexcept
: Abstraction<D, R>(Intercept), Intercept(Intercept),
Coefficient(Coefficient) {}
/// Creates an instance given the two points on a linear function.
///
/// \param x1 The x-value of the first point
/// \param y1 The x-value of the first point
/// \param x2 The y-value of the second point
/// \param y2 The y-value of the second point
LinearFunction(D x1, R y1, D x2, R y2) noexcept
: LinearFunction<D, R>(y1 - x1 * (y1 - y2) / (x1 - x2),
(y1 - y2) / (x1 - x2)) {}
/// Creates an instance given the two points on a linear function.
///
/// \param p1 The coordinates of the first point
/// \param p2 The coordinates of the second point
LinearFunction(std::pair<D, R> p1, std::pair<D, R> p2) noexcept
: LinearFunction<D, R>(p1.first, p1.second, p2.first, p2.second) {}
/// Destroys \p this object.
~LinearFunction(void) = default;
/// Checks wether the Abstraction evaluates to default at the given position
/// As LinearFunctions can be evaluated everythwere, this is always false
///
/// \param V the value at which to check if the function falls back to it's
/// default value.
///
/// \return false
bool isDefaultAt(const D &V) const noexcept override {
(void)V;
return false;
}
/// Getter for member variable Intercept
///
/// \return Intercept
D getIntercept() const { return Intercept; }
/// Setter for member variable Intercept
///
/// \param Intercept the new Intercept
void setIntercept(const D &Intercept) { this->Intercept = Intercept; }
/// Getter for member variable Coefficient
///
/// \return Coefficient
D getCoefficient() const { return Coefficient; }
/// Setter for member variable Coefficient
///
/// \param Coefficient the new Intercept
void setCoefficient(const D &Coefficient) { this->Coefficient = Coefficient; }
/// Set Intercept and Coefficient from two points on the linear function
///
/// \param x1 The x-value of the first point
/// \param y1 The x-value of the first point
/// \param x2 The y-value of the second point
/// \param y2 The y-value of the second point
void setFromPoints(D x1, R y1, D x2, R y2) {
Coefficient = (y1 - y2) / (x1 - x2);
Intercept = y1 - Coefficient * x1;
}
/// Set Intercept and Coefficient from two points on the linear function
///
/// \param p1 The coordinates of the first point
/// \param p2 The coordinates of the second point
inline void setFromPoints(std::pair<D, R> p1, std::pair<D, R> p2) {
setFromPoints(p1.first, p1.second, p2.first, p2.second);
}
/// Evaluates the linear function
///
/// \param X the value at which to evaluate the function
///
/// \return Coefficient*X + Intercept
virtual R operator()(const D &X) const noexcept override {
return Intercept + X * Coefficient;
}
};
/// Implements \c rosa::agent::Abstraction as a sine function,
/// y = Amplitude * sin(Frequency * X + Phase) + Average.
///
/// \note This implementation is supposed to be used to represent a sine
/// function from an arithmetic domain to an arithmetic range. This is enforced
/// statically.
///
/// \tparam D type of the functions domain
/// \tparam R type of the functions range
template <typename D, typename R>
class SineFunction : public Abstraction<D, R> {
// Make sure the actual type arguments are matching our expectations.
STATIC_ASSERT((std::is_arithmetic<D>::value),
"SineFunction not arithmetic T");
STATIC_ASSERT((std::is_arithmetic<R>::value),
"SineFunction not to arithmetic");
protected:
/// The frequency of the sine wave
const D Frequency;
/// The Ampiltude of the sine wave
const D Amplitude;
/// The Phase-shift of the sine wave
const D Phase;
/// The y-shift of the sine wave
const D Average;
public:
/// Creates an instance.
///
/// \param Frequency the frequency of the sine wave
/// \param Amplitude the amplitude of the sine wave
/// \param Phase the phase of the sine wave
/// \param Average the average of the sine wave
SineFunction(D Frequency, D Amplitude, D Phase, D Average) noexcept
: Abstraction<D, R>(Average), Frequency(Frequency), Amplitude(Amplitude),
Phase(Phase), Average(Average) {}
/// Destroys \p this object.
~SineFunction(void) = default;
/// Checks wether the Abstraction evaluates to default at the given position
/// As SineFunctions can be evaluated everythwere, this is always false
///
/// \param V the value at which to check if the function falls back to it's
/// default value.
///
/// \return false
bool isDefaultAt(const D &V) const noexcept override {
(void)V;
return false;
}
/// Evaluates the sine function
///
/// \param X the value at which to evaluate the function
/// \return the value of the sine-function at X
virtual R operator()(const D &X) const noexcept override {
return Amplitude * sin(Frequency * X + Phase) + Average;
}
};
enum StepDirection { StepUp, StepDown };
/// Implements \c rosa::agent::PartialFunction as a step function from 0 to 1
/// with a ramp in between
///
/// \tparam D type of the functions domain
/// \tparam R type of the functions range
template <typename D, typename R>
class StepFunction : public Abstraction<D, R> {
// Make sure the actual type arguments are matching our expectations.
STATIC_ASSERT((std::is_arithmetic<D>::value), "abstracting not arithmetic");
STATIC_ASSERT((std::is_arithmetic<R>::value),
"abstracting not to arithmetic");
private:
D Coefficient;
D RightLimit;
StepDirection Direction;
public:
/// Creates an instance by Initializing the underlying \c Abstraction.
///
/// \param Coefficient Coefficient of the ramp
/// \param Direction wether to step up or down
///
/// \pre Coefficient > 0
StepFunction(D Coefficient, StepDirection Direction = StepUp)
: Abstraction<D, R>(0), Coefficient(Coefficient),
RightLimit(1.0f / Coefficient), Direction(Direction) {
ASSERT(Coefficient > 0);
}
/// Destroys \p this object.
~StepFunction(void) = default;
/// Setter for Coefficient
///
/// \param Coefficient the new Coefficient
void setCoefficient(const D &Coefficient) {
ASSERT(Coefficient > 0);
this->Coefficient = Coefficient;
this->RightLimit = 1 / Coefficient;
}
/// Setter for RightLimit
///
/// \param _RightLimit the new RightLimit
void setRightLimit(const D &_RightLimit) {
ASSERT(_RightLimit > 0);
this->RightLimit = _RightLimit;
this->Coefficient = 1 / _RightLimit;
}
/// Checks wether the Abstraction evaluates to default at the given position
///
/// \param V the value at which to check if the function falls back to it's
/// default value.
///
/// \return false if the is negative, true otherwise
bool isDefaultAt(const D &V) const noexcept override { return V > 0; }
/// Executes the Abstraction
///
/// \param V value to abstract
///
/// \return the abstracted value
R operator()(const D &V) const noexcept override {
R ret = 0;
if (V <= 0)
ret = 0;
else if (V >= RightLimit)
ret = 1;
else
ret = V * Coefficient;
return Direction == StepDirection::StepUp ? ret : 1 - ret;
}
};
/// Implements \c rosa::agent::Abstraction as a partial function from a domain
/// to a range.
///
/// \note This implementation is supposed to be used to represent a partial
/// function from an arithmetic domain to an arithmetic range. This is enforced
/// statically.
///
/// A partial function is defined as a list of abstractions, where each
/// abstraction is associated a range in which it is defined. These ranges must
/// be mutually exclusive.
///
/// \tparam D type of the functions domain
/// \tparam R type of the functions range
template <typename D, typename R>
class PartialFunction : public Abstraction<D, R> {
// Make sure the actual type arguments are matching our expectations.
STATIC_ASSERT((std::is_arithmetic<D>::value), "abstracting not arithmetic");
STATIC_ASSERT((std::is_arithmetic<R>::value),
"abstracting not to arithmetic");
private:
/// A \c rosa::agent::RangeAbstraction RA is used to represent the association
/// from ranges to Abstractions.
/// This returns the Abstraction that is defined for any given value, or
/// a default Abstraction if no Abstraction is defined for that value.
RangeAbstraction<D, std::shared_ptr<Abstraction<D, R>>> RA;
public:
/// Creates an instance by Initializing the underlying \c Abstraction.
///
/// \param Map the mapping to do abstraction according to
/// \param Default abstraction to abstract to by default
///
/// \pre Each key defines a valid range such that `first <= second` and
/// there are no overlapping ranges defined by the keys.
PartialFunction(
const std::map<std::pair<D, D>, std::shared_ptr<Abstraction<D, R>>> &Map,
const R Default)
: Abstraction<D, R>(Default),
RA(Map,
std::shared_ptr<Abstraction<D, R>>(new Abstraction<D, R>(Default))) {
}
/// Destroys \p this object.
~PartialFunction(void) = default;
/// Checks wether the Abstraction evaluates to default at the given position
///
/// \param V the value at which to check if the function falls back to it's
/// default value.
///
/// \return false if the value falls into a defined range and the Abstraction
/// defined for that range does not fall back to it's default value.
bool isDefaultAt(const D &V) const noexcept override {
return RA.isDefaultAt(V) ? true : RA(V)->isDefaultAt(V);
}
/// Searches for an Abstraction for the given value and executes it for that
/// value, if such an Abstraction is found. The default Abstraction is
/// evaluated otherwise.
///
/// \param V value to abstract
///
/// \return the abstracted value based on the set mapping
R operator()(const D &V) const noexcept override {
return RA(V)->operator()(V);
}
};
} // End namespace agent
} // End namespace rosa
#endif // ROSA_AGENT_FUNCTIONABSTRACTIONS_HPP
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