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diff --git a/apps/ccam/ccam.cpp b/apps/ccam/ccam.cpp
index 89ca27f..7f20eb6 100644
--- a/apps/ccam/ccam.cpp
+++ b/apps/ccam/ccam.cpp
@@ -1,435 +1,452 @@
//===-- apps/ccam/ccam.cpp --------------------------------------*- C++ -*-===//
//
// The RoSA Framework -- Application CCAM
//
// Distributed under the terms and conditions of the Boost Software
/// License 1.0.
// See accompanying file LICENSE.
//
// If you did not receive a copy of the license file, see
// http://www.boost.org/LICENSE_1_0.txt.
//
//===----------------------------------------------------------------------===//
///
/// \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
///
/// \todo Clean up source files of this app: add standard RoSA header comment
/// for own files and do something with 3rd party files...
//===----------------------------------------------------------------------===//
#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 "rosa/deluxe/DeluxeTuple.hpp"
#include <fstream>
#include <limits>
#include <memory>
#include <streambuf>
#include "configuration.h"
#include "statehandlerutils.h"
using namespace rosa;
using namespace rosa::agent;
using namespace rosa::deluxe;
using namespace rosa::terminal;
const std::string AppName = "CCAM";
int main(int argc, char **argv) {
LOG_INFO_STREAM << '\n'
<< library_string() << " -- " << Color::Red << AppName
<< "app" << Color::Default << '\n';
// ONLYFORTEST
// std::cout << "Starting?" << std::endl;
// getchar();
// TSETROFYLNO
//
// Read the filepath of the config file of the observed system. The filepath
// is in the first argument passed to the application. Fuzzy functions etc.
// are described in this file.
//
if (argc < 2) {
LOG_ERROR("Specify config File!\nUsage:\n\tccam config.json");
return 1;
}
std::string ConfigPath = argv[1];
//
// Load config file and read in all parameters. Fuzzy functions etc. are
// described in this file.
//
if (!readConfigFile(ConfigPath)) {
LOG_ERROR_STREAM << "Could not read config from \"" << ConfigPath << "\"\n";
return 2;
}
// ONLYFORTEST
// Maxi: Do we need the following line? I outcommented it because I think it
// is unnecessary.
// std::string InputFilePath, OutputFilePath;
// TSETROFYLNO
//
// Create a CCAM context.
//
LOG_INFO("Creating Context");
std::unique_ptr<DeluxeContext> ContextCCAM = DeluxeContext::create(AppName);
//
// Create following function.
// ____________
// /
// /
// __________/
//
std::shared_ptr<PartialFunction<uint32_t, float>> BrokenDelayFunction(
new PartialFunction<uint32_t, float>(
{{{0, AppConfig.BrokenCounter},
std::make_shared<LinearFunction<uint32_t, float>>(
0, 0.f, AppConfig.BrokenCounter, 1.f)},
{{AppConfig.BrokenCounter, std::numeric_limits<uint32_t>::max()},
std::make_shared<LinearFunction<uint32_t, float>>(1.f, 0.f)}},
0.f));
//
// Create following function.
// ____________
// \
// \
// \__________
//
std::shared_ptr<PartialFunction<uint32_t, float>> OkDelayFunction(
new PartialFunction<uint32_t, float>(
{{{0, AppConfig.BrokenCounter},
std::make_shared<LinearFunction<uint32_t, float>>(
0, 1.f, AppConfig.BrokenCounter, 0.f)},
{{AppConfig.BrokenCounter, std::numeric_limits<uint32_t>::max()},
std::make_shared<LinearFunction<uint32_t, float>>(0.f, 0.f)}},
1.f));
//
// Create a DeluxeAgent with SystemStateDetector functionality.
//
LOG_INFO("Create SystemStateDetector agent.");
AgentHandle SystemStateDetectorAgent = createSystemStateDetectorAgent(
ContextCCAM, "SystemStateDetector", AppConfig.SignalConfigurations.size(),
BrokenDelayFunction, OkDelayFunction);
//
// Set policy of SystemStateDetectorAgent that it wait for all
// SignalStateDetectorAgents
//
std::set<size_t> pos;
for (size_t i = 0; i < AppConfig.SignalConfigurations.size(); ++i)
pos.insert(pos.end(), i);
ContextCCAM->setExecutionPolicy(SystemStateDetectorAgent,
DeluxeExecutionPolicy::awaitAll(pos));
//
// Create Vectors for all sensors, all signal related fuzzy functions, all
// signal state detectors, all signal state agents, and all input data files.
//
// @Benedikt: why do we use "std::set<size_t>" above (positions for master
// agent and here "std::vector"?
//
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<std::shared_ptr<StepFunction<float, float>>>
+ NumOfSamplesValidFunctions;
+ std::vector<std::shared_ptr<StepFunction<float, float>>>
+ NumOfSamplesInvalidFunctions;
std::vector<std::shared_ptr<
SignalStateDetector<float, float, float, HistoryPolicy::FIFO>>>
SignalStateDetectors;
std::vector<AgentHandle> SignalStateDetectorAgents;
std::vector<std::ifstream> DataFiles;
//
// Go through all signal state configurations (number of signals), and create
// functionalities for SignalStateDetector.
//
for (auto SignalConfiguration : AppConfig.SignalConfigurations) {
//
// Create deluxe sensors.
//
Sensors.emplace_back(
ContextCCAM->createSensor<float>(SignalConfiguration.Name + "_Sensor"));
//
// Create following function(s).
// ____________
// / \
// / \
// __________/ \__________
//
//
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));
//
// Create following function(s).
// ____________ ____________
// \ /
// \ /
// \__________/
//
//
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));
//
// Create following function(s).
// ____________
// / \
// / \
// __________/ \__________
//
//
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));
//
// Create following function(s).
// ____________ ____________
// \ /
// \ /
// \__________/
//
//
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));
+ //
+ //
+ //
+ //
+ //
+ NumOfSamplesValidFunctions.emplace_back(new StepFunction<float, float>(
+ 1.0f / SignalConfiguration.SampleHistorySize, StepDirection::StepUp));
+
+ NumOfSamplesInvalidFunctions.emplace_back(new StepFunction<float, float>(
+ 1.0f / SignalConfiguration.SampleHistorySize, StepDirection::StepDown));
+
//
// Create SignalStateDetector functionality
//
SignalStateDetectors.emplace_back(
new SignalStateDetector<float, float, float, HistoryPolicy::FIFO>(
SignalConfiguration.Output ? SignalProperties::OUTPUT
: SignalProperties::INPUT,
std::numeric_limits<int>::max(), SampleMatchesFunctions.back(),
SampleMismatchesFunctions.back(), NumOfSamplesMatchFunctions.back(),
NumOfSamplesMismatchFunctions.back(),
+ NumOfSamplesValidFunctions.back(),
+ NumOfSamplesInvalidFunctions.back(),
SignalIsDriftingFunctions.back(), SignalIsStableFunctions.back(),
SignalConfiguration.SampleHistorySize, SignalConfiguration.DABSize,
SignalConfiguration.DABHistorySize));
//
// Create low-level deluxe agents
//
SignalStateDetectorAgents.push_back(createSignalStateDetectorAgent(
ContextCCAM, SignalConfiguration.Name, SignalStateDetectors.back()));
ContextCCAM->setExecutionPolicy(
SignalStateDetectorAgents.back(),
DeluxeExecutionPolicy::decimation(AppConfig.DownsamplingRate));
//
// Connect sensors to low-level agents.
//
LOG_INFO("Connect sensors to their corresponding low-level agents.");
ContextCCAM->connectSensor(
SignalStateDetectorAgents.back(), 0, Sensors.back(),
SignalConfiguration.Name + "_Sensor ->" + SignalConfiguration.Name +
"_SignalStateDetector_Agent-Channel");
ContextCCAM->connectAgents(
SystemStateDetectorAgent, SignalStateDetectors.size() - 1,
SignalStateDetectorAgents.back(),
SignalConfiguration.Name +
"_SignalStateDetector_Agent->SystemStateDetector_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 OutputCSV(AppConfig.OutputFilePath);
for (auto SignalConfiguration : AppConfig.SignalConfigurations) {
OutputCSV << SignalConfiguration.Name + ",";
}
OutputCSV << "StateID,";
OutputCSV << "Confidence State Valid,";
OutputCSV << "Confidence State Invalid,";
OutputCSV << "Confidence Inputs Matching,";
OutputCSV << "Confidence Outputs Matching,";
OutputCSV << "Confidence Inputs Mismatching,";
OutputCSV << "Confidence Outputs Mismatching,";
OutputCSV << "State Condition,";
OutputCSV << "Confidence System Functioning,";
OutputCSV << "Confidence System Malfunctioning,";
OutputCSV << "Overall Confidence,";
OutputCSV << "\n";
// The agent writes each new input value into a CSV file and produces
// nothing.
using Input = std::pair<SystemStateTuple, bool>;
using Result = Optional<DeluxeTuple<unit_t>>;
using Handler = std::function<Result(Input)>;
std::string Name = "Logger Agent";
AgentHandle LoggerAgent = ContextCCAM->createAgent(
"Logger Agent", Handler([&OutputCSV](Input I) -> Result {
const SystemStateTuple &T = I.first;
OutputCSV << std::get<0>(
static_cast<const std::tuple<std::string> &>(T))
<< std::endl;
return Result();
}));
//
// Connect the high-level agent to the logger agent.
//
LOG_INFO("Connect the high-level agent to the logger agent.");
ContextCCAM->connectAgents(LoggerAgent, 0, SystemStateDetectorAgent,
"SystemStateDetector Channel");
//
// Only log if the SystemStateDetector actually ran
//
ContextCCAM->setExecutionPolicy(LoggerAgent,
DeluxeExecutionPolicy::awaitAll({0}));
//
// Do simulation.
//
LOG_INFO("Setting up and performing simulation.");
//
// Initialize deluxe context for simulation.
//
ContextCCAM->initializeSimulation();
//
// Open CSV files and register them for their corresponding sensors.
//
// Make sure DataFiles will not change capacity while adding elements to it.
// Changing capacity moves elements away, which invalidates references
// captured by CSVIterator.
DataFiles.reserve(AppConfig.SignalConfigurations.size());
uint32_t i = 0;
for (auto SignalConfiguration : AppConfig.SignalConfigurations) {
DataFiles.emplace_back(SignalConfiguration.InputPath);
if (!DataFiles.at(i)) {
LOG_ERROR_STREAM << "Cannot open Input File \""
<< SignalConfiguration.InputPath << "\" for Signal \""
<< SignalConfiguration.Name << "\"" << std::endl;
return 3;
}
ContextCCAM->registerSensorValues(Sensors.at(i),
csv::CSVIterator<float>(DataFiles.at(i)),
csv::CSVIterator<float>());
i++;
}
//
// Start simulation.
//
ContextCCAM->simulate(AppConfig.NumberOfSimulationCycles);
return 0;
}
diff --git a/apps/ccam/sample_data/20180529_BrokenSystem/_out.xlsx b/apps/ccam/sample_data/20180529_BrokenSystem/_out.xlsx
new file mode 100644
index 0000000..bdbebd9
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diff --git a/apps/ccam/sample_data/20180529_Drift/_out.xlsx b/apps/ccam/sample_data/20180529_Drift/_out.xlsx
new file mode 100644
index 0000000..43db520
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diff --git a/apps/ccam/sample_data/20180529_NormalModeOneChange/_out.xlsx b/apps/ccam/sample_data/20180529_NormalModeOneChange/_out.xlsx
new file mode 100644
index 0000000..60bdb36
Binary files /dev/null and b/apps/ccam/sample_data/20180529_NormalModeOneChange/_out.xlsx differ
diff --git a/apps/ccam/sample_data/20180529_NormalModeOneChange/config.json b/apps/ccam/sample_data/20180529_NormalModeOneChange/config.json
index 375539e..d848dc7 100644
--- a/apps/ccam/sample_data/20180529_NormalModeOneChange/config.json
+++ b/apps/ccam/sample_data/20180529_NormalModeOneChange/config.json
@@ -1,93 +1,93 @@
{
"OutputFilePath" : "out.csv",
"BrokenCounter" : 20,
"NumberOfSimulationCycles" : 20000,
"DownsamplingRate" : 50,
"SignalConfigurations" :
[
{
- "Name" : "Test",
- "InputPath" : "test.csv",
+ "Name" : "Voltage",
+ "InputPath" : "Voltage.csv",
"Output" : false,
"InnerBound" : 0.01,
"OuterBound" : 0.14,
"InnerBoundDrift" : 0.10,
"OuterBoundDrift" : 0.30,
"SampleHistorySize" : 10,
"DABSize" : 10,
"DABHistorySize" : 5
},
{
"Name" : "Temp1",
"InputPath" : "Temp1.csv",
"Output" : true,
"InnerBound" : 0.01,
"OuterBound" : 0.14,
"InnerBoundDrift" : 0.10,
"OuterBoundDrift" : 0.30,
"SampleHistorySize" : 10,
"DABSize" : 10,
"DABHistorySize" : 5
},
{
"Name" : "Temp2",
"InputPath" : "Temp2.csv",
"Output" : true,
"InnerBound" : 0.01,
"OuterBound" : 0.14,
"InnerBoundDrift" : 0.10,
"OuterBoundDrift" : 0.30,
"SampleHistorySize" : 10,
"DABSize" : 10,
"DABHistorySize" : 5
},
{
"Name" : "SharkyS",
"InputPath" : "SharkyS.csv",
"Output" : true,
"InnerBound" : 0.01,
"OuterBound" : 0.14,
"InnerBoundDrift" : 0.10,
"OuterBoundDrift" : 0.30,
"SampleHistorySize" : 10,
"DABSize" : 10,
"DABHistorySize" : 5
},
{
"Name" : "SharkyB",
"InputPath" : "SharkyB.csv",
"Output" : true,
"InnerBound" : 0.01,
"OuterBound" : 0.14,
"InnerBoundDrift" : 0.10,
"OuterBoundDrift" : 0.30,
"SampleHistorySize" : 10,
"DABSize" : 10,
"DABHistorySize" : 5
},
{
"Name" : "Dyna",
"InputPath" : "Dyna.csv",
"Output" : true,
"InnerBound" : 0.01,
"OuterBound" : 0.14,
"InnerBoundDrift" : 0.10,
"OuterBoundDrift" : 0.30,
"SampleHistorySize" : 10,
"DABSize" : 10,
"DABHistorySize" : 5
},
{
"Name" : "Riels",
"InputPath" : "Riels.csv",
"Output" : true,
"InnerBound" : 0.01,
"OuterBound" : 0.14,
"InnerBoundDrift" : 0.10,
"OuterBoundDrift" : 0.30,
"SampleHistorySize" : 10,
"DABSize" : 10,
"DABHistorySize" : 5
}
]
}
diff --git a/apps/ccam/sample_data/20180529_NormalModeSeveralChanges/_out.xlsx b/apps/ccam/sample_data/20180529_NormalModeSeveralChanges/_out.xlsx
new file mode 100644
index 0000000..d3f305f
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diff --git a/apps/ccam/sample_data/20180529_NormalModeUnchanged/_out.xlsx b/apps/ccam/sample_data/20180529_NormalModeUnchanged/_out.xlsx
new file mode 100644
index 0000000..9d4db81
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diff --git a/apps/ccam/sample_data/20180529_NormalTwoTimesSameState/_out.xlsx b/apps/ccam/sample_data/20180529_NormalTwoTimesSameState/_out.xlsx
new file mode 100644
index 0000000..9b00ca5
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diff --git a/apps/ccam/statehandlerutils.h b/apps/ccam/statehandlerutils.h
index 675c9aa..ab627e6 100644
--- a/apps/ccam/statehandlerutils.h
+++ b/apps/ccam/statehandlerutils.h
@@ -1,266 +1,278 @@
#ifndef STATEHANDLERUTILS_H
#define STATEHANDLERUTILS_H
#include "rosa/agent/Abstraction.hpp"
#include "rosa/agent/Confidence.hpp"
#include "rosa/agent/FunctionAbstractions.hpp"
#include <functional>
#include <iostream>
#include <tuple>
#include <vector>
#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>
using namespace rosa;
using namespace rosa::agent;
using namespace rosa::deluxe;
using namespace rosa::terminal;
// Signal State
using SignalStateTuple =
DeluxeTuple<float, uint32_t, uint8_t, float, float, float, float, float,
float, uint8_t, uint32_t, uint8_t>;
AgentHandle createSignalStateDetectorAgent(
std::unique_ptr<DeluxeContext> &C, const std::string &Name,
std::shared_ptr<
SignalStateDetector<float, float, float, HistoryPolicy::FIFO>>
SigSD) {
using Input = std::pair<DeluxeTuple<float>, bool>;
using Result = Optional<SignalStateTuple>;
using Handler = std::function<Result(Input)>;
//@Benedikt/@David (New - 04/2020): in the folliwing, we do
//"std::get<0>(I.first)" quite often. Would it not be faster if we save this
// once in a variable and use this variable.
return C->createAgent(
Name, Handler([&, Name, SigSD](Input I) -> Result {
LOG_INFO_STREAM << "\n******\n"
<< Name << " " << (I.second ? "<New>" : "<Old>")
- << " value: " << std::get<0>(I.first) << "\n******\n";
+ << " value: "
+ << std::get<0>(
+ static_cast<std::tuple<float> &>(I.first))
+ << "\n******\n";
// ONLYFORTEST
- bool printFlag = Name == "Test";
+ bool printFlag = Name == "Voltage";
if (printFlag) {
- std::cout << Name << " - Input " << std::get<0>(I.first) << std::endl;
+ std::cout << Name << " - Input "
+ << std::get<0>(static_cast<std::tuple<float> &>(I.first))
+ << std::endl;
}
// TSETROFYLNO
// ONLYFORTEST - added second parameter (printFlag)
- auto StateInfo =
- SigSD->detectSignalState(std::get<0>(I.first), printFlag);
+ auto StateInfo = SigSD->detectSignalState(
+ std::get<0>(static_cast<std::tuple<float> &>(I.first)), printFlag);
// TSETROFYLNO - added second parameter (printFlag)
// ONLYFORTEST
if (printFlag) {
std::cout << "StateInfo:" << std::endl;
std::cout << " > StateID: " << StateInfo.StateID << std::endl;
/*
std::cout << "In/Output: " << StateInfo.SignalProperty << std::endl;
std::cout << "StateCondition: " << StateInfo.StateCondition
<< std::endl;
std::cout << "StateIsValid: " << StateInfo.StateIsValid << std::endl;
std::cout << "StateJustGotValid: " << StateInfo.StateJustGotValid
<< std::endl;
std::cout << "StateIsValidAfterReentrance: "
<< StateInfo.StateIsValidAfterReentrance << std::endl;
std::cout << "ConfidenceStateIsValid: "
<< StateInfo.ConfidenceStateIsValid << std::endl;
std::cout << "ConfidenceStateIsInvalid: "
<< StateInfo.ConfidenceStateIsInvalid << std::endl;
std::cout << "ConfidenceStateIsStable: "
<< StateInfo.ConfidenceStateIsStable << std::endl;
std::cout << "ConfidenceStateIsDrifting: "
<< StateInfo.ConfidenceStateIsDrifting << std::endl;
*/
- getchar();
+
+ std::cout << std::endl
+ << "-------------------------------------------------------"
+ "-------------------------"
+ << std::endl
+ << std::endl;
+
+ // getchar();
}
// TSETROFYLNO
if (I.second) {
SignalStateTuple Res = {
- std::get<0>(I.first),
+ std::get<0>(static_cast<std::tuple<float> &>(I.first)),
StateInfo.StateID,
StateInfo.SignalProperty,
StateInfo.ConfidenceOfMatchingState,
StateInfo.ConfidenceOfMismatchingState,
StateInfo.ConfidenceStateIsValid,
StateInfo.ConfidenceStateIsInvalid,
StateInfo.ConfidenceStateIsStable,
StateInfo.ConfidenceStateIsDrifting,
StateInfo.StateCondition,
StateInfo.NumberOfInsertedSamplesAfterEntrance,
(uint8_t)((StateInfo.StateIsValid ? 4 : 0) +
(StateInfo.StateJustGotValid ? 2 : 0) +
(StateInfo.StateIsValidAfterReentrance ? 1 : 0))};
return Result(Res);
}
return Result();
}));
}
// System State
using SystemStateTuple = DeluxeTuple<std::string>;
template <std::size_t size, typename ret, typename functype, typename... A>
struct Handler_helper;
template <typename B, typename func, typename A, typename... As>
struct function_helper {
static_assert(std::conjunction_v<std::is_same<A, As>...>,
"All types need to be identical");
static B function(A valA, As... valAs) {
std::vector<A> ar({valA, valAs...});
return func()(ar);
}
};
template <typename ret, typename typeA, typename functype, typename... B>
struct Handler_helper<0, ret, functype, typeA, B...> {
using handler = function_helper<ret, functype, B...>;
};
template <std::size_t size, typename ret, typename typeA, typename functype,
typename... B>
struct Handler_helper<size, ret, functype, typeA, B...> {
using handler =
typename Handler_helper<size - 1, ret, functype, typeA,
std::pair<typeA, bool>, B...>::handler;
};
template <std::size_t size, typename ret, typename functype, typename typeA>
using Handler = typename Handler_helper<size, ret, functype, typeA>::handler;
// TODO: This is UGLY!
std::shared_ptr<
SystemStateDetector<uint32_t, float, float, HistoryPolicy::FIFO>>
SysSD;
// todo: state-detector durchschleifen
template <typename ret, typename A> struct function {
ret operator()(A a) {
std::vector<SignalStateInformation<float>> SignalStateInfos;
std::stringstream OutString;
for (auto _SignalStateTuple : a) {
// convert tuple to info struct out.push_back({});
OutString << std::get<0>(_SignalStateTuple.first) << ",";
SignalStateInformation<float> Info;
Info.StateID = std::get<1>(_SignalStateTuple.first);
Info.SignalProperty =
static_cast<SignalProperties>(std::get<2>(_SignalStateTuple.first));
Info.ConfidenceOfMatchingState = std::get<3>(_SignalStateTuple.first);
Info.ConfidenceOfMismatchingState = std::get<4>(_SignalStateTuple.first);
Info.ConfidenceStateIsValid = std::get<5>(_SignalStateTuple.first);
Info.ConfidenceStateIsInvalid = std::get<6>(_SignalStateTuple.first);
Info.ConfidenceStateIsStable = std::get<7>(_SignalStateTuple.first);
Info.ConfidenceStateIsDrifting = std::get<8>(_SignalStateTuple.first);
Info.StateCondition =
static_cast<StateConditions>(std::get<9>(_SignalStateTuple.first));
Info.NumberOfInsertedSamplesAfterEntrance =
std::get<10>(_SignalStateTuple.first);
Info.StateIsValid = (std::get<11>(_SignalStateTuple.first) & 4) > 0;
Info.StateJustGotValid = (std::get<11>(_SignalStateTuple.first) & 2) > 0;
Info.StateIsValidAfterReentrance =
(std::get<11>(_SignalStateTuple.first) & 1) > 0;
SignalStateInfos.push_back(Info);
}
SystemStateInformation<float> SystemStateInfo =
SysSD->detectSystemState(SignalStateInfos);
OutString << SystemStateInfo.StateID << ",";
OutString << SystemStateInfo.ConfidenceStateIsValid << ",";
OutString << SystemStateInfo.ConfidenceStateIsInvalid << ",";
OutString << SystemStateInfo.ConfidenceOfInputsMatchingState << ",";
OutString << SystemStateInfo.ConfidenceOfInputsMismatchingState << ",";
OutString << SystemStateInfo.ConfidenceOfOutputsMatchingState << ",";
OutString << SystemStateInfo.ConfidenceOfOutputsMismatchingState << ",";
OutString << SystemStateInfo.StateCondition << ",";
OutString << SystemStateInfo.ConfidenceSystemIsFunctioning << ",";
OutString << SystemStateInfo.ConfidenceSystemIsMalfunctioning << ",";
OutString << SystemStateInfo.ConfidenceOfAllDecisions << ",";
return ret(std::make_tuple<std::string>(OutString.str()));
}
};
using arr = std::vector<std::pair<SignalStateTuple, bool>>;
template <size_t NumOfSlaves>
AgentHandle createSystemStateDetectorAgent(
std::unique_ptr<DeluxeContext> &C, const std::string &Name,
std::shared_ptr<PartialFunction<uint32_t, float>> BrokenDelayFunction,
std::shared_ptr<PartialFunction<uint32_t, float>> OkDelayFunction) {
LOG_TRACE("Creating fixed SystemStateDetectorAgent");
using Input = SignalStateTuple;
using Result = Optional<SystemStateTuple>;
std::shared_ptr<
SystemStateDetector<uint32_t, float, float, HistoryPolicy::FIFO>>
_SysSD(
new SystemStateDetector<uint32_t, float, float, HistoryPolicy::FIFO>(
std::numeric_limits<uint32_t>::max(), NumOfSlaves,
BrokenDelayFunction, OkDelayFunction));
SysSD = _SysSD;
auto HandlerFunction =
Handler<NumOfSlaves, Result, function<Optional<SystemStateTuple>, arr>,
Input>::function;
return C->createAgent(Name, std::function(HandlerFunction));
}
AgentHandle createSystemStateDetectorAgent(
std::unique_ptr<DeluxeContext> &C, const std::string &Name,
size_t NumOfSlaves,
std::shared_ptr<PartialFunction<uint32_t, float>> BrokenDelayFunction,
std::shared_ptr<PartialFunction<uint32_t, float>> OkDelayFunction) {
LOG_TRACE("Creating dynamic SystemStateDetectorAgent");
switch (NumOfSlaves) {
// clang-format off
case 2: return createSystemStateDetectorAgent< 2>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 3: return createSystemStateDetectorAgent< 3>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 4: return createSystemStateDetectorAgent< 4>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 5: return createSystemStateDetectorAgent< 5>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 6: return createSystemStateDetectorAgent< 6>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 7: return createSystemStateDetectorAgent< 7>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 8: return createSystemStateDetectorAgent< 8>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 9: return createSystemStateDetectorAgent< 9>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 10: return createSystemStateDetectorAgent<10>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 11: return createSystemStateDetectorAgent<11>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 12: return createSystemStateDetectorAgent<12>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 13: return createSystemStateDetectorAgent<13>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 14: return createSystemStateDetectorAgent<14>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 15: return createSystemStateDetectorAgent<15>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 16: return createSystemStateDetectorAgent<16>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 17: return createSystemStateDetectorAgent<17>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 18: return createSystemStateDetectorAgent<18>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 19: return createSystemStateDetectorAgent<19>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 20: return createSystemStateDetectorAgent<20>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 21: return createSystemStateDetectorAgent<21>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 22: return createSystemStateDetectorAgent<22>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 23: return createSystemStateDetectorAgent<23>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 24: return createSystemStateDetectorAgent<24>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 25: return createSystemStateDetectorAgent<25>(C, Name, BrokenDelayFunction, OkDelayFunction);
case 1:
default: return createSystemStateDetectorAgent<1>(C, Name, BrokenDelayFunction, OkDelayFunction);
// clang-format on
}
}
#endif // STATEHANDLERUTILS_H
diff --git a/include/rosa/agent/SignalState.hpp b/include/rosa/agent/SignalState.hpp
index 2ecd93f..993bc66 100644
--- a/include/rosa/agent/SignalState.hpp
+++ b/include/rosa/agent/SignalState.hpp
@@ -1,486 +1,570 @@
//===-- rosa/agent/SignalState.hpp ------------------------------*- C++ -*-===//
//
// The RoSA Framework
//
//===----------------------------------------------------------------------===//
///
/// \file rosa/agent/SignalState.hpp
///
/// \author Maximilian Götzinger (maximilian.goetzinger@tuwien.ac.at)
///
/// \date 2019
///
/// \brief Definition of *signal state* *functionality*.
///
//===----------------------------------------------------------------------===//
#ifndef ROSA_AGENT_SIGNALSTATE_HPP
#define ROSA_AGENT_SIGNALSTATE_HPP
#include "rosa/agent/FunctionAbstractions.hpp"
#include "rosa/agent/Functionality.h"
#include "rosa/agent/History.hpp"
#include "rosa/agent/State.hpp"
#include "rosa/support/math.hpp"
namespace rosa {
namespace agent {
/// Signal properties defining the properties of the signal which is monitored
/// by \c rosa::agent::SignalStateDetector and is saved in \c
/// rosa::agent::SignalStateInformation.
enum SignalProperties : uint8_t {
INPUT = 0, ///< The signal is an input signal
OUTPUT = 1 ///< The signal is an output signal
};
/// TODO: write description
template <typename CONFDATATYPE>
struct SignalStateInformation : StateInformation<CONFDATATYPE> {
// Make sure the actual type arguments are matching our expectations.
STATIC_ASSERT((std::is_arithmetic<CONFDATATYPE>::value),
"confidence type is not to arithmetic");
/// TODO: describe
CONFDATATYPE ConfidenceOfMatchingState;
CONFDATATYPE ConfidenceOfMismatchingState;
/// The SignalProperty saves whether the monitored signal is an input our
/// output signal.
SignalProperties SignalProperty;
/// The SignalStateIsValid saves the number of samples which have been
/// inserted into the state after entering it.
uint32_t NumberOfInsertedSamplesAfterEntrance;
public:
SignalStateInformation(unsigned int SignalStateID,
SignalProperties _SignalProperty) {
this->StateID = SignalStateID;
this->SignalProperty = _SignalProperty;
this->StateCondition = StateConditions::UNKNOWN;
+ this->NumberOfInsertedSamplesAfterEntrance = 0;
this->StateIsValid = false;
this->StateJustGotValid = false;
this->StateIsValidAfterReentrance = false;
this->ConfidenceStateIsValid = 0;
this->ConfidenceStateIsInvalid = 0;
this->ConfidenceStateIsStable = 0;
this->ConfidenceStateIsDrifting = 0;
}
SignalStateInformation() {}
};
/// \tparam INDATATYPE type of input data, \tparam CONFDATATYPE type of
/// data in that the confidence values are given, \tparam PROCDATATYPE type of
/// the relative distance and the type of data in which DABs are saved.
template <typename INDATATYPE, typename CONFDATATYPE, typename PROCDATATYPE>
class SignalState : public Functionality {
// Make sure the actual type arguments are matching our expectations.
STATIC_ASSERT((std::is_arithmetic<INDATATYPE>::value),
"input data type not arithmetic");
STATIC_ASSERT((std::is_arithmetic<CONFDATATYPE>::value),
"confidence data type is not to arithmetic");
STATIC_ASSERT(
(std::is_arithmetic<PROCDATATYPE>::value),
"process data type (DAB and Relative Distance) is not to arithmetic");
public:
// For the convinience to write a shorter data type name
using PartFuncReference = PartialFunction<INDATATYPE, CONFDATATYPE> &;
using StepFuncReference = StepFunction<INDATATYPE, CONFDATATYPE> &;
private:
/// SignalStateInfo is a struct of SignalStateInformation that contains
/// information about the current signal state.
SignalStateInformation<CONFDATATYPE> SignalStateInfo;
/// The FuzzyFunctionSampleMatches is the fuzzy function that gives the
/// confidence how good the new sample matches another sample in the sample
/// history.
PartFuncReference FuzzyFunctionSampleMatches;
/// The FuzzyFunctionSampleMismatches is the fuzzy function that gives the
/// confidence how bad the new sample matches another sample in the sample
/// history.
PartFuncReference FuzzyFunctionSampleMismatches;
/// The FuzzyFunctionNumOfSamplesMatches is the fuzzy function that gives the
/// confidence how many samples from the sampe history match the new sample.
StepFuncReference FuzzyFunctionNumOfSamplesMatches;
/// The FuzzyFunctionNumOfSamplesMismatches is the fuzzy function that gives
/// the confidence how many samples from the sampe history mismatch the new
/// sample.
StepFuncReference FuzzyFunctionNumOfSamplesMismatches;
+ /// TODO: explanation
+ StepFuncReference FuzzyFunctionNumOfSamplesValidFunctions;
+
+ /// TODO: explanation
+ StepFuncReference FuzzyFunctionNumOfSamplesInvalidFunctions;
+
/// The FuzzyFunctionSignalIsDrifting is the fuzzy function that gives the
/// confidence how likely it is that the signal (resp. the state of a signal)
/// is drifting.
PartFuncReference FuzzyFunctionSignalIsDrifting;
/// The FuzzyFunctionSignalIsStable is the fuzzy function that gives the
/// confidence how likely it is that the signal (resp. the state of a signal)
/// is stable (not drifting).
PartFuncReference FuzzyFunctionSignalIsStable;
/// SampleHistory is a history in that the last sample values are stored.
DynamicLengthHistory<INDATATYPE, HistoryPolicy::FIFO> SampleHistory;
/// DAB is a (usually) small history of the last sample values of which a
/// average is calculated if the DAB is full.
DynamicLengthHistory<INDATATYPE, HistoryPolicy::SRWF> DAB;
/// DABHistory is a history in that the last DABs (to be exact, the averages
/// of the last DABs) are stored.
DynamicLengthHistory<PROCDATATYPE, HistoryPolicy::LIFO> DABHistory;
/// LowestConfidenceMatchingHistory is a history in that the lowest confidence
/// for the current sample matches all history samples are saved.
DynamicLengthHistory<INDATATYPE, HistoryPolicy::FIFO>
LowestConfidenceMatchingHistory;
/// HighestConfidenceMatchingHistory is a history in that the highest
/// confidence for the current sample matches all history samples are saved.
DynamicLengthHistory<INDATATYPE, HistoryPolicy::FIFO>
HighestConfidenceMismatchingHistory;
//@benedikt: neu (passt das so?)
CONFDATATYPE TempConfidenceMatching = 0;
CONFDATATYPE TempConfidenceMismatching = 0;
public:
/// Creates an instance by setting all parameters
/// \param SignalStateID The Id of the SignalStateinfo \c
/// SignalStateInformation.
///
/// \param FuzzyFunctionSampleMatches The FuzzyFunctionSampleMatches is the
/// fuzzy function that gives the confidence how good the new sample matches
/// another sample in the sample history.
///
/// \param FuzzyFunctionSampleMismatches The FuzzyFunctionSampleMismatches is
/// the fuzzy function that gives the confidence how bad the new sample
/// matches another sample in the sample history.
///
/// \param FuzzyFunctionNumOfSamplesMatches The
/// FuzzyFunctionNumOfSamplesMatches is the fuzzy function that gives the
/// confidence how many samples from the sampe history match the new sample.
///
/// \param FuzzyFunctionNumOfSamplesMismatches The
/// FuzzyFunctionNumOfSamplesMismatches is the fuzzy function that gives the
/// confidence how many samples from the sampe history mismatch the new
/// sample.
///
/// \param FuzzyFunctionSignalIsDrifting The FuzzyFunctionSignalIsDrifting is
/// the fuzzy function that gives the confidence how likely it is that the
/// signal (resp. the state of a signal) is drifting.
///
/// \param FuzzyFunctionSignalIsStable The FuzzyFunctionSignalIsStable is the
/// fuzzy function that gives the confidence how likely it is that the signal
/// (resp. the state of a signal) is stable (not drifting).
///
/// \param SampleHistorySize Size of the Sample History \c
/// DynamicLengthHistory . SampleHistory is a history in that the last sample
/// values are stored.
///
/// \param DABSize Size of DAB \c DynamicLengthHistory . DAB is a (usually)
/// small history of the last sample values of which a average is calculated
/// if the DAB is full.
///
/// \param DABHistorySize Size of the DABHistory \c DynamicLengthHistory .
/// DABHistory is a history in that the last DABs (to be exact, the averages
/// of the last DABs) are stored.
///
SignalState(uint32_t SignalStateID, SignalProperties SignalProperty,
uint32_t SampleHistorySize, uint32_t DABSize,
uint32_t DABHistorySize,
PartFuncReference FuzzyFunctionSampleMatches,
PartFuncReference FuzzyFunctionSampleMismatches,
StepFuncReference FuzzyFunctionNumOfSamplesMatches,
StepFuncReference FuzzyFunctionNumOfSamplesMismatches,
+ StepFuncReference FuzzyFunctionNumOfSamplesValidFunctions,
+ StepFuncReference FuzzyFunctionNumOfSamplesInvalidFunctions,
PartFuncReference FuzzyFunctionSignalIsDrifting,
PartFuncReference FuzzyFunctionSignalIsStable) noexcept
: //@benedikt/@david: I don't know if i am allowed to initialize it like
// that because the struct is a derivate of another struct
SignalStateInfo{SignalStateID, SignalProperty},
FuzzyFunctionSampleMatches(FuzzyFunctionSampleMatches),
FuzzyFunctionSampleMismatches(FuzzyFunctionSampleMismatches),
FuzzyFunctionNumOfSamplesMatches(FuzzyFunctionNumOfSamplesMatches),
FuzzyFunctionNumOfSamplesMismatches(
FuzzyFunctionNumOfSamplesMismatches),
+ FuzzyFunctionNumOfSamplesValidFunctions(
+ FuzzyFunctionNumOfSamplesValidFunctions),
+ FuzzyFunctionNumOfSamplesInvalidFunctions(
+ FuzzyFunctionNumOfSamplesInvalidFunctions),
FuzzyFunctionSignalIsDrifting(FuzzyFunctionSignalIsDrifting),
FuzzyFunctionSignalIsStable(FuzzyFunctionSignalIsStable),
SampleHistory(SampleHistorySize), DAB(DABSize),
DABHistory(DABHistorySize),
LowestConfidenceMatchingHistory(SampleHistorySize),
HighestConfidenceMismatchingHistory(SampleHistorySize) {}
/// Destroys \p this object.
~SignalState(void) = default;
void leaveSignalState(void) noexcept {
DAB.clear();
SignalStateInfo.NumberOfInsertedSamplesAfterEntrance = 0;
SignalStateInfo.StateIsValidAfterReentrance = false;
}
- SignalStateInformation<CONFDATATYPE>
- insertSample(INDATATYPE Sample) noexcept {
+ // ONLYFORTEST - 2nd parameter (printFlag)
+ SignalStateInformation<CONFDATATYPE> insertSample(INDATATYPE Sample,
+ bool printFlag) noexcept {
SignalStateInfo.NumberOfInsertedSamplesAfterEntrance++;
- validateSignalState(Sample);
+ // QUESTION: Why Validating before inserting?
+ validateSignalState(Sample, printFlag);
SampleHistory.addEntry(Sample);
DAB.addEntry(Sample);
if (DAB.full()) {
PROCDATATYPE AvgOfDAB = DAB.template average<PROCDATATYPE>();
DABHistory.addEntry(AvgOfDAB);
DAB.clear();
}
+ // validateSignalState(Sample, printFlag);
+
FuzzyFunctionNumOfSamplesMatches.setRightLimit(
static_cast<INDATATYPE>(SampleHistory.numberOfEntries()));
FuzzyFunctionNumOfSamplesMismatches.setRightLimit(
static_cast<INDATATYPE>(SampleHistory.numberOfEntries()));
checkSignalStability();
//@benedikt (das gehört dazu)
SignalStateInfo.ConfidenceOfMatchingState = TempConfidenceMatching;
SignalStateInfo.ConfidenceOfMismatchingState = TempConfidenceMismatching;
+ // ONLYFORTEST
+ if (printFlag) {
+ std::cout << " > inserted sample." << std::endl;
+ std::cout << " >>> state valid? -> "
+ << this->signalStateInformation().StateIsValid << std::endl;
+
+ std::cout << "SampleHistory.numberOfEntries(): "
+ << SampleHistory.numberOfEntries() << std::endl;
+ }
+ // TSETROFYLNO
+
return SignalStateInfo;
}
/// Gives the confidence how likely the new sample matches the signal state.
///
/// \param Sample is the actual sample of the observed signal.
///
/// \return the confidence of the new sample is matching the signal state.
CONFDATATYPE
confidenceSampleMatchesSignalState(INDATATYPE Sample) noexcept {
CONFDATATYPE ConfidenceOfBestCase = 0;
DynamicLengthHistory<PROCDATATYPE, HistoryPolicy::FIFO>
RelativeDistanceHistory(SampleHistory.maxLength());
// calculate distances to all history samples
for (auto &HistorySample : SampleHistory) {
PROCDATATYPE RelativeDistance =
relativeDistance<INDATATYPE, PROCDATATYPE>(Sample, HistorySample);
RelativeDistanceHistory.addEntry(RelativeDistance);
}
// sort all calculated distances so that the lowest distance (will get the
// highest confidence) is at the beginning.
RelativeDistanceHistory.sortAscending();
CONFDATATYPE ConfidenceOfWorstFittingSample = 1;
// Case 1 means that one (the best fitting) sample of the history is
// compared with the new sample. Case 2 means the two best history samples
// are compared with the new sample. And so on.
// TODO (future): to accelerate . don't start with 1 start with some higher
// number because a low number (i guess lower than 5) will definetely lead
// to a low confidence. except the history is not full.
//
// Case 1 means that one (the best fitting) sample of the history is
// compared with the new sample. Case 2 means the two best history samples
// are compared with the new sample. And so on.
for (uint32_t Case = 0; Case < RelativeDistanceHistory.numberOfEntries();
Case++) {
CONFDATATYPE ConfidenceFromRelativeDistance;
if (std::isinf(RelativeDistanceHistory[Case])) {
// TODO (future) if fuzzy is defined in a way that infinity is not 0 it
// would be a problem
ConfidenceFromRelativeDistance = 0;
} else {
ConfidenceFromRelativeDistance =
FuzzyFunctionSampleMatches(RelativeDistanceHistory[Case]);
}
- // printf("AAAAAAAAAAAAAAAA 1\n");
ConfidenceOfWorstFittingSample = fuzzyAND(ConfidenceOfWorstFittingSample,
ConfidenceFromRelativeDistance);
- // printf("AAAAAAAAAAAAAAAA 2\n");
ConfidenceOfBestCase =
fuzzyOR(ConfidenceOfBestCase,
fuzzyAND(ConfidenceOfWorstFittingSample,
FuzzyFunctionNumOfSamplesMatches(
static_cast<CONFDATATYPE>(Case) + 1)));
}
//@benedikt (das gehört dazu)
TempConfidenceMatching = ConfidenceOfBestCase;
return ConfidenceOfBestCase;
}
/// Gives the confidence how likely the new sample mismatches the signal
/// state.
///
/// \param Sample is the actual sample of the observed signal.
///
/// \return the confidence of the new sample is mismatching the signal state.
CONFDATATYPE
confidenceSampleMismatchesSignalState(INDATATYPE Sample) noexcept {
float ConfidenceOfWorstCase = 1;
DynamicLengthHistory<PROCDATATYPE, HistoryPolicy::FIFO>
RelativeDistanceHistory(SampleHistory.maxLength());
// calculate distances to all history samples
for (auto &HistorySample : SampleHistory) {
RelativeDistanceHistory.addEntry(
relativeDistance<INDATATYPE, PROCDATATYPE>(Sample, HistorySample));
}
// sort all calculated distances so that the highest distance (will get the
// lowest confidence) is at the beginning.
RelativeDistanceHistory.sortDescending();
CONFDATATYPE ConfidenceOfBestFittingSample = 0;
// TODO (future): to accelerate -> don't go until end. Confidences will only
// get higher. See comment in "CONFDATATYPE
// confidenceSampleMatchesSignalState(INDATATYPE Sample)".
//
// Case 1 means that one (the worst fitting) sample of the history is
// compared with the new sample. Case 2 means the two worst history samples
// are compared with the new sample. And so on.
for (uint32_t Case = 0; Case < RelativeDistanceHistory.numberOfEntries();
Case++) {
CONFDATATYPE ConfidenceFromRelativeDistance;
if (std::isinf(RelativeDistanceHistory[Case])) {
ConfidenceFromRelativeDistance = 1;
} else {
ConfidenceFromRelativeDistance =
FuzzyFunctionSampleMismatches(RelativeDistanceHistory[Case]);
}
ConfidenceOfBestFittingSample = fuzzyOR(ConfidenceOfBestFittingSample,
ConfidenceFromRelativeDistance);
- // printf("AAAAAAAAAAAAAAAA 3\n");
ConfidenceOfWorstCase =
fuzzyAND(ConfidenceOfWorstCase,
fuzzyOR(ConfidenceOfBestFittingSample,
FuzzyFunctionNumOfSamplesMismatches(
static_cast<CONFDATATYPE>(Case) + 1)));
}
//@benedikt (das gehört dazu)
TempConfidenceMismatching = ConfidenceOfWorstCase;
return ConfidenceOfWorstCase;
}
/// Gives information about the current signal state.
///
/// \return a struct SignalStateInformation that contains information about
/// the current signal state.
SignalStateInformation<CONFDATATYPE> signalStateInformation(void) noexcept {
return SignalStateInfo;
}
private:
- void validateSignalState(INDATATYPE Sample) {
+ void validateSignalState(INDATATYPE Sample, bool printFlag) {
// TODO (future): WorstConfidenceDistance and BestConfidenceDistance could
// be set already in "CONFDATATYPE
// confidenceSampleMatchesSignalState(INDATATYPE Sample)" and "CONFDATATYPE
// confidenceSampleMismatchesSignalState(INDATATYPE Sample)" when the new
// sample is compared to all history samples. This would save a lot time
// because the comparisons are done only once. However, it has to be asured
// that the these two functions are called before the insertation, and the
// FuzzyFunctions for validation and matching have to be the same!
+
+ // ONLYFORTEST
+ if (printFlag) {
+ std::cout << "-> Before Validation:" << std::endl;
+ std::cout << " > c_valid = " << SignalStateInfo.ConfidenceStateIsValid
+ << std::endl;
+ std::cout << " > c_invalid = " << SignalStateInfo.ConfidenceStateIsInvalid
+ << std::endl;
+ }
+ unsigned int test_counter = 0;
+ // TSETROFYLNO
+
CONFDATATYPE LowestConfidenceMatching = 1;
CONFDATATYPE HighestConfidenceMismatching = 0;
+
for (auto &HistorySample : SampleHistory) {
// TODO (future): think about using different fuzzy functions for
// validation and matching.
- // printf("AAAAAAAAAAAAAAAA 4\n");
LowestConfidenceMatching = fuzzyAND(
LowestConfidenceMatching,
FuzzyFunctionSampleMatches(relativeDistance<INDATATYPE, PROCDATATYPE>(
Sample, HistorySample)));
HighestConfidenceMismatching =
fuzzyOR(HighestConfidenceMismatching,
FuzzyFunctionSampleMismatches(
relativeDistance<INDATATYPE, PROCDATATYPE>(
Sample, HistorySample)));
+
+ // ONLYFORTEST
+ if (printFlag) {
+ test_counter++;
+ std::cout << " >>> Round " << test_counter
+ << ": LowMatch = " << LowestConfidenceMatching
+ << ", HigMism = " << HighestConfidenceMismatching
+ << std::endl;
+ }
+ // TSETROFYLNO
}
LowestConfidenceMatchingHistory.addEntry(LowestConfidenceMatching);
HighestConfidenceMismatchingHistory.addEntry(HighestConfidenceMismatching);
LowestConfidenceMatching = LowestConfidenceMatchingHistory.lowestEntry();
HighestConfidenceMismatching =
HighestConfidenceMismatchingHistory.highestEntry();
- // printf("AAAAAAAAAAAAAAAA 5\n");
- SignalStateInfo.ConfidenceStateIsValid =
- fuzzyAND(LowestConfidenceMatching,
- FuzzyFunctionNumOfSamplesMatches(static_cast<INDATATYPE>(
- SignalStateInfo.NumberOfInsertedSamplesAfterEntrance)));
-
- SignalStateInfo.ConfidenceStateIsInvalid =
- fuzzyOR(HighestConfidenceMismatching,
- FuzzyFunctionNumOfSamplesMismatches(static_cast<INDATATYPE>(
- SignalStateInfo.NumberOfInsertedSamplesAfterEntrance)));
+ // ONLYFORTEST
+ if (printFlag) {
+
+ std::cout << " >>> Final: LowMatch = " << LowestConfidenceMatching
+ << ", HigMism = " << HighestConfidenceMismatching << std::endl;
+ std::cout << " >>> Num: "
+ << SignalStateInfo.NumberOfInsertedSamplesAfterEntrance
+ << " -> FuzzyFunctionNumOfSamplesMatches = "
+ << FuzzyFunctionNumOfSamplesMatches(static_cast<INDATATYPE>(
+ SignalStateInfo.NumberOfInsertedSamplesAfterEntrance))
+ << std::endl;
+ std::cout << " >>> Num: "
+ << SignalStateInfo.NumberOfInsertedSamplesAfterEntrance
+ << " -> FuzzyFunctionNumOfSamplesMismatches = "
+ << FuzzyFunctionNumOfSamplesMismatches(static_cast<INDATATYPE>(
+ SignalStateInfo.NumberOfInsertedSamplesAfterEntrance))
+ << std::endl;
+ }
+ // TSETROFYLNO
+
+ SignalStateInfo.ConfidenceStateIsValid = fuzzyAND(
+ LowestConfidenceMatching,
+ FuzzyFunctionNumOfSamplesValidFunctions(static_cast<INDATATYPE>(
+ SignalStateInfo.NumberOfInsertedSamplesAfterEntrance)));
+
+ SignalStateInfo.ConfidenceStateIsInvalid = fuzzyOR(
+ HighestConfidenceMismatching,
+ FuzzyFunctionNumOfSamplesInvalidFunctions(static_cast<INDATATYPE>(
+ SignalStateInfo.NumberOfInsertedSamplesAfterEntrance)));
+
+ // ONLYFORTEST
+ if (printFlag) {
+ std::cout << "-> After Validation:" << std::endl;
+ std::cout << " > c_valid = " << SignalStateInfo.ConfidenceStateIsValid
+ << std::endl;
+ std::cout << " > c_invalid = " << SignalStateInfo.ConfidenceStateIsInvalid
+ << std::endl;
+ }
+ // TSETROFYLNO
if (SignalStateInfo.ConfidenceStateIsValid >
SignalStateInfo.ConfidenceStateIsInvalid) {
+
+ // ONLYFORTEST
+ if (printFlag) {
+ std::cout << " >>> c_valid > c_invalid." << std::endl;
+ }
+ // TSETROFYLNO
+
if (SignalStateInfo.StateIsValid) {
SignalStateInfo.StateJustGotValid = false;
} else {
SignalStateInfo.StateJustGotValid = true;
}
+
SignalStateInfo.StateIsValid = true;
SignalStateInfo.StateIsValidAfterReentrance = true;
}
}
void checkSignalStability(void) {
if (DABHistory.numberOfEntries() >= 2) {
SignalStateInfo.ConfidenceStateIsStable = FuzzyFunctionSignalIsStable(
relativeDistance<INDATATYPE, PROCDATATYPE>(
DABHistory[DABHistory.numberOfEntries() - 1], DABHistory[0]));
SignalStateInfo.ConfidenceStateIsDrifting = FuzzyFunctionSignalIsDrifting(
relativeDistance<INDATATYPE, PROCDATATYPE>(
DABHistory[DABHistory.numberOfEntries() - 1], DABHistory[0]));
} else {
// @benedikt: I do not know if this "initializing" is the best, but I
// think it makes sense because we do not know if it is stable or
// drifting.
SignalStateInfo.ConfidenceStateIsStable = 0;
SignalStateInfo.ConfidenceStateIsDrifting = 0;
}
//@benedikt: before it was "ConfidenceSignalIsStable >=
// ConfidenceSignalIsDrifting" -> stable. However, I think like that it
// makes
// more sense. What do you mean?
if (SignalStateInfo.ConfidenceStateIsStable >
SignalStateInfo.ConfidenceStateIsDrifting) {
SignalStateInfo.StateCondition = StateConditions::STABLE;
} else if (SignalStateInfo.ConfidenceStateIsStable <
SignalStateInfo.ConfidenceStateIsDrifting) {
SignalStateInfo.StateCondition = StateConditions::DRIFTING;
} else {
SignalStateInfo.StateCondition = StateConditions::UNKNOWN;
}
}
};
} // End namespace agent
} // End namespace rosa
#endif // ROSA_AGENT_SIGNALSTATE_HPP
diff --git a/include/rosa/agent/SignalStateDetector.hpp b/include/rosa/agent/SignalStateDetector.hpp
index d35c013..8a7ed50 100644
--- a/include/rosa/agent/SignalStateDetector.hpp
+++ b/include/rosa/agent/SignalStateDetector.hpp
@@ -1,294 +1,365 @@
//===-- rosa/agent/SignalStateDetector.hpp ----------------------*- C++ -*-===//
//
// The RoSA Framework
//
// Distributed under the terms and conditions of the Boost Software License 1.0.
// See accompanying file LICENSE.
//
// If you did not receive a copy of the license file, see
// http://www.boost.org/LICENSE_1_0.txt.
//
//===----------------------------------------------------------------------===//
///
/// \file rosa/agent/SignalStateDetector.hpp
///
/// \author Maximilian Götzinger (maximilian.goetzinger@tuwien.ac.at)
///
/// \date 2019
///
/// \brief Definition of *signal state detector* *functionality*.
///
//===----------------------------------------------------------------------===//
#ifndef ROSA_AGENT_SIGNALSTATEDETECTOR_HPP
#define ROSA_AGENT_SIGNALSTATEDETECTOR_HPP
#include "rosa/agent/Functionality.h"
#include "rosa/agent/SignalState.hpp"
#include "rosa/agent/StateDetector.hpp"
#include <vector>
namespace rosa {
namespace agent {
/// Implements \c rosa::agent::SignalStateDetector as a functionality that
/// detects signal states given on input samples.
///
/// \note This implementation is supposed to be used for samples of an
/// arithmetic type.
///
/// \tparam INDATATYPE type of input data, \tparam CONFDATATYPE type of
/// data in that the confidence values are given, \tparam PROCDATATYPE type of
/// the relative distance and the type of data in which DABs are saved.
template <typename INDATATYPE, typename CONFDATATYPE, typename PROCDATATYPE,
HistoryPolicy HP>
class SignalStateDetector
: public StateDetector<INDATATYPE, CONFDATATYPE, PROCDATATYPE, HP> {
// @maxi added them so it is compilable is this what you intended?
using StateDetector =
StateDetector<INDATATYPE, CONFDATATYPE, PROCDATATYPE, HP>;
using PartFuncPointer = typename StateDetector::PartFuncPointer;
using StepFuncPointer = typename StateDetector::StepFuncPointer;
private:
// For the convinience to write a shorter data type name
using SignalStatePtr =
std::shared_ptr<SignalState<INDATATYPE, CONFDATATYPE, PROCDATATYPE>>;
/// The SignalProperty saves whether the monitored signal is an input our
/// output signal.
SignalProperties SignalProperty;
/// The CurrentSignalState is a pointer to the (saved) signal state in which
/// the actual variable (signal) of the observed system is.
SignalStatePtr CurrentSignalState;
/// The DetectedSignalStates is a history in that all detected signal states
/// are saved.
DynamicLengthHistory<SignalStatePtr, HP> DetectedSignalStates;
/// The FuzzyFunctionSampleMatches is the fuzzy function that gives the
/// confidence how good the new sample matches another sample in the sample
/// history.
PartFuncPointer FuzzyFunctionSampleMatches;
/// The FuzzyFunctionSampleMismatches is the fuzzy function that gives the
/// confidence how bad the new sample matches another sample in the sample
/// history.
PartFuncPointer FuzzyFunctionSampleMismatches;
/// The FuzzyFunctionNumOfSamplesMatches is the fuzzy function that gives the
/// confidence how many samples from the sampe history match the new sample.
StepFuncPointer FuzzyFunctionNumOfSamplesMatches;
/// The FuzzyFunctionNumOfSamplesMismatches is the fuzzy function that gives
/// the confidence how many samples from the sampe history mismatch the new
/// sample.
StepFuncPointer FuzzyFunctionNumOfSamplesMismatches;
+ /// TODO: explanation
+ StepFuncPointer FuzzyFunctionNumOfSamplesValidFunctions;
+
+ /// TODO: explanation
+ StepFuncPointer FuzzyFunctionNumOfSamplesInvalidFunctions;
+
/// The FuzzyFunctionSignalIsDrifting is the fuzzy function that gives the
/// confidence how likely it is that the signal is drifting.
PartFuncPointer FuzzyFunctionSignalIsDrifting;
/// The FuzzyFunctionSignalIsStable is the fuzzy function that gives the
/// confidence how likely it is that the signal is stable (not drifting).
PartFuncPointer FuzzyFunctionSignalIsStable;
/// SampleHistorySize is the (maximum) size of the sample history.
uint32_t SampleHistorySize;
/// DABSize the size of a DAB (Discrete Average Block).
uint32_t DABSize;
/// DABHistorySize is the (maximum) size of the DAB history.
uint32_t DABHistorySize;
public:
/// Creates an instance by setting all parameters
/// \param FuzzyFunctionSampleMatches The FuzzyFunctionSampleMatches is the
/// fuzzy function that gives the confidence how good the new sample matches
/// another sample in the sample history.
///
/// \param FuzzyFunctionSampleMismatches The FuzzyFunctionSampleMismatches is
/// the fuzzy function that gives the confidence how bad the new sample
/// matches another sample in the sample history.
///
/// \param FuzzyFunctionNumOfSamplesMatches The
/// FuzzyFunctionNumOfSamplesMatches is the fuzzy function that gives the
/// confidence how many samples from the sampe history match the new sample.
///
/// \param FuzzyFunctionNumOfSamplesMismatches The
/// FuzzyFunctionNumOfSamplesMismatches is the fuzzy function that gives the
/// confidence how many samples from the sampe history mismatch the new
/// sample.
///
/// \param FuzzyFunctionSignalIsDrifting The FuzzyFunctionSignalIsDrifting is
/// the fuzzy function that gives the confidence how likely it is that the
/// signal (resp. the state of a signal) is drifting.
///
/// \param FuzzyFunctionSignalIsStable The FuzzyFunctionSignalIsStable is the
/// fuzzy function that gives the confidence how likely it is that the signal
/// (resp. the state of a signal) is stable (not drifting).
///
/// \param SampleHistorySize Sets the History size which will be used by \c
/// SignalState.
///
/// \param DABSize Sets the DAB size which will be used by \c SignalState.
///
/// \param DABHistorySize Sets the size which will be used by \c SignalState.
///
SignalStateDetector(SignalProperties SignalProperty,
uint32_t MaximumNumberOfSignalStates,
PartFuncPointer FuzzyFunctionSampleMatches,
PartFuncPointer FuzzyFunctionSampleMismatches,
StepFuncPointer FuzzyFunctionNumOfSamplesMatches,
StepFuncPointer FuzzyFunctionNumOfSamplesMismatches,
+ StepFuncPointer NumOfSamplesValidFunctions,
+ StepFuncPointer NumOfSamplesInvalidFunctions,
PartFuncPointer FuzzyFunctionSignalIsDrifting,
PartFuncPointer FuzzyFunctionSignalIsStable,
uint32_t SampleHistorySize, uint32_t DABSize,
uint32_t DABHistorySize) noexcept
: SignalProperty(SignalProperty), CurrentSignalState(nullptr),
DetectedSignalStates(MaximumNumberOfSignalStates),
FuzzyFunctionSampleMatches(FuzzyFunctionSampleMatches),
FuzzyFunctionSampleMismatches(FuzzyFunctionSampleMismatches),
FuzzyFunctionNumOfSamplesMatches(FuzzyFunctionNumOfSamplesMatches),
FuzzyFunctionNumOfSamplesMismatches(
FuzzyFunctionNumOfSamplesMismatches),
+ FuzzyFunctionNumOfSamplesValidFunctions(NumOfSamplesValidFunctions),
+ FuzzyFunctionNumOfSamplesInvalidFunctions(NumOfSamplesInvalidFunctions),
FuzzyFunctionSignalIsDrifting(FuzzyFunctionSignalIsDrifting),
FuzzyFunctionSignalIsStable(FuzzyFunctionSignalIsStable),
SampleHistorySize(SampleHistorySize), DABSize(DABSize),
DABHistorySize(DABHistorySize) {
this->NextStateID = 1;
this->StateHasChanged = false;
}
/// Destroys \p this object.
~SignalStateDetector(void) = default;
/// Detects the signal state to which the new sample belongs or create a new
/// signal state if the new sample does not match to any of the saved states.
///
/// \param Sample is the actual sample of the observed signal.
///
/// \return the information of the current signal state (signal state ID and
/// other parameters).
- // TODO (future): change to operator()
+ // TODO (future): change this function to an operator()-function
SignalStateInformation<CONFDATATYPE>
detectSignalState(INDATATYPE Sample, bool printFlag) noexcept {
// ONLYFORTEST
if (printFlag)
std::cout << "SigStateDetector:" << std::endl;
// TSETROFYLNO
if (!CurrentSignalState) {
+ ASSERT(DetectedSignalStates.empty());
+ SignalStatePtr S = createNewSignalState();
+ CurrentSignalState = S;
// ONLYFORTEST
- if (printFlag)
- std::cout << " > create new state" << std::endl;
+ if (printFlag) {
+ std::cout << " > No current signal state > create new state"
+ << std::endl;
+ std::cout << " >>> state valid? -> "
+ << CurrentSignalState->signalStateInformation().StateIsValid
+ << std::endl;
+ }
// TSETROFYLNO
- ASSERT(DetectedSignalStates.empty());
- SignalStatePtr S = createNewSignalState();
- CurrentSignalState = S;
} else {
+ // TODO (future): maybe there is a better way than a relative distance
+ // comparison. Maybe somehow a mix of relative and absolute?
CONFDATATYPE ConfidenceSampleMatchesSignalState =
CurrentSignalState->confidenceSampleMatchesSignalState(Sample);
CONFDATATYPE ConfidenceSampleMismatchesSignalState =
CurrentSignalState->confidenceSampleMismatchesSignalState(Sample);
this->StateHasChanged = ConfidenceSampleMatchesSignalState <=
ConfidenceSampleMismatchesSignalState;
+ // ONLYFORTEST
+ if (printFlag) {
+ std::cout << " > c_matches = " << ConfidenceSampleMatchesSignalState
+ << std::endl;
+ std::cout << " > c_mismatches = "
+ << ConfidenceSampleMismatchesSignalState << std::endl;
+ }
+ // TSETROFYLNO
+
if (this->StateHasChanged) {
- if (CurrentSignalState->signalStateInformation().StateIsValid)
+ // ONLYFORTEST
+ if (printFlag) {
+ std::cout << " >>>>>>>>>>>>>> STATE HAS CHANGED." << std::endl;
+ }
+ // TSETROFYLNO
+
+ if (CurrentSignalState->signalStateInformation().StateIsValid) {
+ // ONLYFORTEST
+ if (printFlag) {
+ std::cout << " > signal state is valid." << std::endl;
+ }
+ // TSETROFYLNO
+
CurrentSignalState->leaveSignalState();
- else
+ } else {
+ // ONLYFORTEST
+ if (printFlag) {
+ std::cout << " > signal state is invalid." << std::endl;
+ }
+ // TSETROFYLNO
+
DetectedSignalStates.deleteEntry(CurrentSignalState);
+ }
// TODO (future): additionally save averages to enable fast iteration
// through recorded signl state history (maybe sort vector based on
// these average values)
CurrentSignalState = nullptr;
for (auto &SavedSignalState : DetectedSignalStates) {
ConfidenceSampleMatchesSignalState =
SavedSignalState->confidenceSampleMatchesSignalState(Sample);
ConfidenceSampleMismatchesSignalState =
SavedSignalState->confidenceSampleMismatchesSignalState(Sample);
if (ConfidenceSampleMatchesSignalState >
ConfidenceSampleMismatchesSignalState) {
// TODO (future): maybe it would be better to compare
// ConfidenceSampleMatchesSignalState of all signal states in the
// vector in order to find the best matching signal state.
CurrentSignalState = SavedSignalState;
break;
}
}
if (!CurrentSignalState) {
- // ONLYFORTEST
- if (printFlag)
- std::cout << " > create new state" << std::endl;
- // TSETROFYLNO
-
SignalStatePtr S = createNewSignalState();
CurrentSignalState = S;
+
+ // ONLYFORTEST
+ if (printFlag) {
+ std::cout << " > No current signal state > create new state"
+ << std::endl;
+ std::cout
+ << " >>> state valid? -> "
+ << CurrentSignalState->signalStateInformation().StateIsValid
+ << std::endl;
+ }
+ // TSETROFYLNO
+ }
+ }
+ // ONLYFORTEST
+ else {
+ if (printFlag) {
+ std::cout << " > SAME STATE" << std::endl;
}
}
+ // TSETROFYLNO
}
+ // ONLYFORTEST - 2nd parameter (printFlag)
SignalStateInformation<CONFDATATYPE> SignalStateInfo =
- CurrentSignalState->insertSample(Sample);
+ CurrentSignalState->insertSample(Sample, printFlag);
+ // TSETROFYLNO - 2nd parameter (printFlag)
+
+ // ONLYFORTEST
+ if (printFlag) {
+ std::cout << std::endl
+ << "Valid = " << SignalStateInfo.StateIsValid << std::endl
+ << "Just got Valid = " << SignalStateInfo.StateJustGotValid
+ << std::endl
+ << std::endl;
+ }
if (SignalStateInfo.StateJustGotValid) {
this->NextStateID++;
}
return SignalStateInfo;
}
/// Gives information about the current signal state.
///
/// \return a struct SignalStateInformation that contains information about
/// the current signal state or NULL if no current signal state exists.
SignalStateInformation<CONFDATATYPE>
currentSignalStateInformation(void) noexcept {
if (CurrentSignalState) {
return CurrentSignalState->signalStateInformation();
} else {
return NULL;
}
}
/// Gives information whether a signal state change has happened or not.
///
/// \return true if a signal state change has happened, and false if not.
bool stateHasChanged(void) noexcept { return this->StateHasChanged; }
private:
/// Creates a new signal state and adds it to the signal state vector in which
/// all known states are saved.
///
/// \return a pointer to the newly created signal state or NULL if no state
/// could be created.
SignalStatePtr createNewSignalState(void) noexcept {
SignalStatePtr S(new SignalState<INDATATYPE, CONFDATATYPE, PROCDATATYPE>(
this->NextStateID, SignalProperty, SampleHistorySize, DABSize,
DABHistorySize, *FuzzyFunctionSampleMatches,
*FuzzyFunctionSampleMismatches, *FuzzyFunctionNumOfSamplesMatches,
- *FuzzyFunctionNumOfSamplesMismatches, *FuzzyFunctionSignalIsDrifting,
- *FuzzyFunctionSignalIsStable));
+ *FuzzyFunctionNumOfSamplesMismatches,
+ *FuzzyFunctionNumOfSamplesValidFunctions,
+ *FuzzyFunctionNumOfSamplesInvalidFunctions,
+ *FuzzyFunctionSignalIsDrifting, *FuzzyFunctionSignalIsStable));
DetectedSignalStates.addEntry(S);
return S;
}
};
} // End namespace agent
} // End namespace rosa
#endif // ROSA_AGENT_SIGNALSTATEDETECTOR_HPP

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